Sunday, May 1, 2016
Today being Fast Sunday we fasted before going to our meetings. We enjoyed the Sacrament Service and are grateful to be able to renew our covenants with our Lord. We enjoyed the Testimonies that were given. Following the other classes, I volunteered to take the Sacrament out to some of the shut-in’s within our Ward. They sure seem to appreciate that service. I was accompanied by Brother Robert Laumer and enjoyed his companionship. This evening we got some of my items packed into the camper so that tomorrow Ron Graf and I can leave early to go fishing. Mae is sure a sweetheart in helping me. We didn’t get finished and into bed until after 10Pm.
Monday, May 2, 2016
I left home just after 5am and Ron met me at the mouth of Weber canyon. When we arrived at East Canyon Camp Grounds we found the camp site that we had reserved. We set up the camper and then found out that the rest rooms were not open for use yet. We were ok as we have the camper. We went fishing and by 11:30am we both had limited out. We came back to our campsite. Ron went up to the ranger gate and asked them if we could change to a site that was closer to the restroom that is open. They told us that it was ok, however, none of the restroom had hot water in them yet. We made the move anyway, but set the camper up so we could use the restroom in it. We next cleaned our fish at the camper as the fish cleaning station is not open for use. After cleaning and filet them we seal-a-mealed and froze them. We went back out fishing but it was slow and we only caught two fish. We left my boat tied to the dock for the night. After some dinner we were tired and soon went to bed.
Tuesday, May 3, 2016
I woke at 4am with my face being very cold. We had left the heater off as Ron likes to sleep with it being cool. I realized that it was so cold that the air going through my C-pap was almost freezing my face. The furnace soon warmed the camper up. I slept for another hour before getting up. I cooked fish, French toast and scrambled eggs for breakfast. Fishing was slow this morning and at noon we went back to camp and got some lunch, packed up the camper and moved it from the campsite. We ate some lunch, then went back out and fished until almost 4pm before we limited. We cleaned the fish and then came home. We decided not to fill the gas on the boat and trucks before we came home. Ron took the boat with him and will bring it back tomorrow. When I got home I was tired and so Mae helped me unpack. I seal-a-mealed the fish and put them in the freezer. We ate some dinner while we watched a pretty good show on Netflix, before going to bed.
Wednesday, May 4, 2016
It was sure good to sleep in my bed and be home. I got up at 7am and helped Mae get breakfast. I sure do love my wife. This morning after a nice breakfast I started the water on the lawns. Ron came to bring my boat back. We cleaned the boat and got the camper about ready to unload. Mae went to Dinosaur Park with Kaitlyn and Kaden. Ron and I finished cleaning the boat and put it away before Ron went home. I started working on the camper when I got a call from Coventry Insurance to set up a date and time that they could have a nurse come to our home to give us our annual checkup. I had to come into the house to get the day planner. After making that appointment I tried to find out a question about our Medicare Insurance but was put on hold for 45 minutes before they called back. While waiting for that, I caught up my journal and ate some lunch. When they called back they really couldn’t answer my question. I took a nap and finished my journal before working on my camper trying to find out an electrical problem. After Mae came home from Dinosaur Park, I went down to Marianne’s to check out her sprinkler system. I found out a couple of problems, but need her to check with the previous owner as to where the other two control valves are located. I have still got to figure out her timer. Scott, Mishelle and their family came over for dinner this evening. After dinner Kaden & Kaden watched cartoons on the TV, Scott took a nap, Ashley did home work, while Kylan, Mishelle, Mae and I played two games of Marbles. Kylan and I won the first game, with Mae and Mishelle winning the second game. It is after 10pm so time to go to bed.
**Thursday, May 5, 2016
I worked on the camper and found the problem with the brake lights. Mae and I mowed and trimmed the yard. This afternoon we went down to Gifford’s and did some weeding and watering. I took Mae to choir practice and then I went after some parts. Mae called me and said that only three showed up so they visited for a few minutes and then one of them brought her back home.  I watched a show on TV before going to bed.
Friday, May 6, 2016
Mae came home shortly after I got up. I had read the Priesthood lesson before she got here. We talked about it and that brought up the financial concerns. Mae cooked us fish and eggs for breakfast. I worked on the camper in the morning. Bob called and wanted to go to Dr. Toone and so I called and got him an appointment. I took him to Bountiful and let him out at Dr. Toone’s, before I went on to Costco where I bought gas for the car and a few groceries. I went back and picked up Bob, taking him back to the retirement home. I then went to Durk’s where I checked with Chris about the cost of a 200 gallon water storage tank. When I got home I changed clothes and went to Sister Jeneane Browning where Brother Fred Amundson and I gave Sister Browning a Blessing. Mae and I then went to Sister Tammy Reuzi’s Viewing. On the way home we stopped at the store for a few groceries. This evening we watched a good movie before going to bed.
Saturday, May 7, 2016
Sandi and Gary took Mae and I out for breakfast at the Star Café in Clearfield, for breakfast. Sandi and Shellie also gave Mae a hanging planter for Mother’s Day. We enjoyed a nice breakfast at their treat in honor of Mothers Day. We returned about noon. We packed a few items and drove up to Logan where we had lunch at David and Sierra’s. They had Paige & Garrett, Mike, Becky, Maddy and Jessie, plus Garrett’s parents there for lunch. From there we all went up to Utah State University and attended graduation exercises for Paige Kirschbaum’s. Mae and I left before the graduation ceremony was finished giving out diplomas, as Paige had already received hers. We were concerned at the long walk back to our car, as Mae’s shoes were really uncomfortable and had hurt her on the long walk to the stadium, but as we started to walk, a shuttle bus driver asked us if he could give us a ride to our car. He had one other elderly couple that was also on the shuttle bus. He let us right off at our car. We were sure happy for that service. From there we went to Irven and Sandy’s where they had dinner ready for us. It has been quite a day of meals that we didn’t have to prepare. Andrea also came to spend the night with them. Irven and I discussed a water storage system for them. Irven is excited about trying to start a company of installing water systems for people. I told him that I wasn’t interested in doing that, but would help him. The five of us played some games before going to bed.
Sunday, May 8, 2016
Irven prepared breakfast for us this morning. Mae and I then came back home to get ready to attend our ward meeting schedule. Scott and his family came before meetings, to wish Mae a Happy Mother’s Day. Mishelle also wants me to remove the hood above the stove so she can refinish it, as their Mother’s Day gift for Mae. Mishelle also gave Mae some earrings that she made, and they gave her a nice card. After meetings, I prepared lunch for Mae. Marianne brought Mae a Mother’s Day Gift of several items that she had at her home. One was a set of Ozzie and Harriet on DVD and then a bear that is holding salt and pepper shakers. We will put that in our camper. David and his family came to wish Mae a happy Mother’s Day. Mae and I watched three shows of Ozzie and Harriet before going to sleep.
Monday, May 9, 2016
Mae let me sleep in until almost 8 this morning. I read the Priesthood lesson and became very depressed as I think of my family, most of them not having a testimony of the Gospel. The gospel means so much to Mae & I and we know it is true. After breakfast and my shower, I started working on a broken sprinkler pipe in the front yard and on our camper. I took Lee Gifford’s trash out to the curb. On the way home I stopped and borrowed a ladder from Darrel Wayment. I got the broken pipe fixed, but am having trouble with the camper. This evening we went over to Caroline and Charles Saunders where we played a game of Hand and Foot. Charles and I won tonight. It was a good evening. We are late getting to bed.
Tuesday, May 10, 2016
We were up and started the day ok, but we spent most of the day doing gardening at our place and Gifford’s. I worked some on the camper, but am still stumped with the wiring. It may be in the plug that hooks the camper to the pickup power. Scott came over, after he got off work, to get the stove hood. Mishelle & Scott want to clean it up and paint it. This will be their Mother’s Day gift to Mae. This evening Mae and I went visiting to Sister Neilson and Sister Ray. We enjoyed the visit with Sister Neilson as she is such a special person. It’s not quite 9:30PM but I think we will soon be going to bed. I’m tired tonight.
Wednesday, May 11, 2016
We got up this morning and went to the VA Medical center in Ogden where they drew blood and took a urine sample in preparation for my physical on the 24th. We came back home and had breakfast as I had to go fasting. I worked on the camper for some time and finally took it over to the shop to have them find out what is wrong with the electrical. I did lay down in the recliner and took a nap. I then went to work on our garden boxes. I went to Durk’s for parts and then to Home Depot for other materials. Mae has been working on packing so that we could leave for American Falls at 7am tomorrow. We went Home & Visiting Teaching to Sister Lemon. From there we went to the Hilton’s but they were not home. We stopped at Siglin’s, and though Brother Siglin wasn’t home we visited a few minutes with his wife. When we came home, I worked on the watering system until after 10PM. Mae has been busy packing all day so that we could leave for Jeff and Gail’s at 7am in the morning, however, Jeff called and they are afraid that Gail is getting whatever Jeff has had for a couple of days. Jeff is feeling much better but Gail is sick so they didn’t want to take the chance of us getting it. We will call at 6am in the morning. It is now 11 pm and we are just going to bed.
Thursday, May 12, 2016
Mae didn’t sleep very well last night, but I slept ok and was up before 6am. We called Jeff and Gail and decided that we would go. It was 7:55am when we left home. We stopped for gas and then drove straight thru, only making one bathroom stop. We arrived at the school in plenty of time for Grand Parents Day and were able to make connections with both Rachel and Ben so that the four of us ate lunch together. We got to go to Rachel’s class room and see their work there. Then we went Ben’s class room where they had several short plays concerning various historical events during the settlement of our country. I didn’t get very much out of that as the children read their parts, which covered their mouths so I could not see their lips plus children are hard for me to hear their speech anyway. Gail had brought Matt and joined us after lunch. Mae went with Gail and Matt to a dairy farm, for Matt’s field trip, so I came on to Jeff and Gail’s home where I brought most of our things in and then took a nap. Later we played some games with the children, but their chattering soon got to me, so I came downstairs and worked on the computer. When Jeff came home from work, he started cooking chicken on their outside grill. I went out and helped him and it gave us a chance to visit. He told me of a new system of building things through a system much like Ink Jet Printing, except this is using various kinds of materials from plastic to metals. The design is done through Auto Cad Design and then fed the design into this equipment which builds the unit. He is looking into this system for Chobani, as it will save their company millions of dollars in inventory. We also talked about the new technology in the new electric automobiles that are now on the market. It was very interesting to hear of the great and new technology that is changing our environment as well as the future. As I see it, the only thing that can stop the increase of knowledge is the great increase of human sin. Dinner turned out very well. Jeff has an electronic food thermometer he uses, that is very accurate as to the cooking temperature of the foods, thus giving greater determination as to when the food is done. This evening Gail had some ladies over for a Book Club. While they we meeting, Jeff and I played a few hands of Rook and when we quit, Jeff had won. We soon called it a day and all went to bed.
Friday, May 13, 2016
Both Mae and I slept well last night, not getting up until just before Ben and Rachel left for school. We took showers and had some breakfast with Matt as Gail went to the gym and ran some other errands. After getting some breakfast Mae spent time with Matt until she got him off to kindergarten. This afternoon I did some work on Gail’s garden trying to figure out a watering system for her. This evening after Jeff got home from work; we went down to the river with the kayaks and enjoyed a couple of hours there. Jeff still isn’t feeling the best so he didn’t get wet. It was after 8PM when we got home. After getting the children down to bed, Jeff, Gail, Mae and I played the first round of Hand and Foot before going to bed.
Saturday, May 14, 2016
We slept in until 7AM and both Mae and I slept ok. Jeff left with several other men, and they went bike riding (motor cycles) until about 1PM. Gail had made muffins for breakfast, so Mae and I cooked bacon and scrambled eggs to go with that. I did some figuring on the irrigation setup for Gail’s garden. I then went to the store and purchased some materials. From there I went to the store and purchased some filtered water. Gail had jugs for 18 gallons and I bought an extra 2 gallons container and filled it with water for Jackie, who lives across the street from us. Shortly after I got home Gail took Matt and Rachel to a Birthday Party. Jeff had us watch the movie “Caption American” which was an OK movie. We had planned on going back to the river but the weather has turned off cloudy, windy and a little cold. Jeff really sounds like he is really getting a bad cold and Mae has suggested that he might see a Doctor, but he won’t. I really hope that neither Mae nor I get it. This evening we, after the children went to bed, watched “The Iron Man” witch was interesting but I really don’t care for these shows that are so far out of reality. I sure love being with Mae and appreciate her love for me.
Sunday, May 15, 2016
We woke about 7AM and I have enjoyed reading the scriptures but it is now almost 9AM and I will have to hurry to be ready for meetings. Mae was making Lasagna for dinner so I helped her with it. We drove our car to meetings. The meetings went well, however, I forgot my glasses and so after Sacrament meeting I hurried back to Jeff and Gail’s and got them. As I came out of their subdivision and turned onto the main road, I suddenly noticed a motorcycle very close to me. That worried me, wondering if I just hadn’t noticed it when I turned through the intersection. I got back to the chapel in time for most of Sunday school. We had a nice dinner after getting back home. The evening went fast and it was soon time for the children to go to bed. Jeff, Gail, Mae and I continued our game of Hand and Foot. Although, Mae and I did better, we still couldn’t make up for the bad hand we played last night and we lost the game.
Monday, May 16, 2016
I mowed the lawn for Jeff. I was quite impressed with their lawnmower, but it is the only one for their large lawn. This afternoon I worked on getting the watering set up for Gail’s garden. Jeff talked to a lady that does landscaping and it looks like Jeff is going to spend quite a lot of money changing his watering system. Mae held Family Home Evening with the children before Jeff got home from work, while Gail & I worked on the garden watering system. I sure wish there was some way I could talk to Jeff about the Gospel. I was sure tired this evening and was ready for bed.
Tuesday, May 17, 2016
Mae and I slept until 7am before getting up. We didn’t get to say good bye to Jeff, but we made it upstairs in time to tell Ben and Rachel good bye. After breakfast, we got the car packed and left for home by 10am. We were home by 1pm and got the car unpacked and things put away. I started on our garden boxes and got a water system installed before it got dark, anyway close enough that I just had to use lighting to finish an electrical connection. I called Jeff and suggested that I come back up and bring the equipment to install Bubblers around his trees. I called Jeff with my suggestion and after he had time to think about it, he decided not to do it at this time. We had a light late supper, and then I caught my journal entries up before we went to bed.
Wednesday, May 17, 2016
We were late getting up so I prepared breakfast of French toast and eggs. We had just finished when Woody from Darren Badeaux RV called and told me that my camper was fixed. We went over to get it and the price simply floored me. It upset Mae also. Parts were about $19.00 but the labor was over $350. That put me in a depression most of the day. Mae went with me this afternoon to run a few errands. I was upset over the traffic backup caused by some highway work, feeling that UDOT should try to arrange better traffic control. Then I tried to get the Propane tank on the RV filled and they told me that that tank can no longer be filled. We then went to Jerry’s Nursery and that took some time trying to find it. All in all I don’t think Mae enjoyed being with me. When we got home I went down to Gifford’s and planted 6 pepper plants and weeded and cut runners out of the strawberries. This evening I worked on the sprinkler system for our yard getting it adjusted a little better. It was late when we quit and came in. After some dinner we watched a show on Netflix before going to bed.
Thursday, May 19, 2016
I got up about 7am but then went back to bed with my sweetheart. I am sure thankful that I have her, as I don’t know how anyone can make it in this life without a wonderful companion like I have. I sure have to thank my Heavenly Father often for the wife he blessed me with and for the Eternal goals that we have. After showering and shaving, I prepared breakfast again of French toast and eggs (same as yesterday because Mae requested it) while Mae planted some flowers that were given to her yesterday by Chris Castilo, who lives across the street. Chris also wanted some rocks removed so she could plant some tomatoes. After breakfast, I made some calls and found Avus RV will check my Propane tanks for they think they are ok to refill. I took the tank down to them and Justin, the mechanic there, who is State Certified, checked the tank and said the that they were ok to refill until December 31st of this year and then the tank will require recertification. That will entail removing any rusted areas, checking the welds and repainting the tank and then it will be ok for another 5 years. It cost me $10.00 for the fuel and it was filled. Mae went grocery shopping, and I started preparing working on the yard when Bishop Mullin’s stopped by to talk to me about some problems he would like Mae and my help with. I did get some rocks removed for Chris and used them in a area in our back yard. I came in the house as Mae left for choir practice. Mae had my dinner ready for me and I turned a show on TV and watched it while I ate. Mae and I watched another one on Netflix when she got home. I entered this entry before going to bed.
Friday, May 20, 2016
We got up at a decent time, but we were late getting breakfast. Just as our food was cooked, Bishop Mullins came to talk to us about rescheduling our camping trip, due to the prediction of cold and rainy weather. We rescheduled it for June 6th, 7th and 8th. After breakfast, I wrote a letter to Kevis, although we don’t know his address yet. Mae then wanted me to reseed some areas of grass. I hope it grows, because I lost my cool with Mae and hurt her feelings. I finished getting the camper ready for use, then we took it down to the storage lot. This evening we went Visiting and Home Teaching to the Patterson’s. We then went over to Clearfield to visit Sister Evelyn Hilton at the Rocky Mountain Rehabilitation Center. It was right across the street from Chandler Garden’s where Bob is at and so while there we visited Bob. He seems to be doing well. We got interested in a BYU vs SCU baseball game and stayed and watched it. In the opening of the 9th inning SCU 8 and BYU 6, BYU made 3 rums winning the game. We were glad that we had stayed and enjoyed the game. It is almost 11PM so good night.
Saturday, May 21, 2016
It rained quite hard during the night and early morning. We slept in until after 8am. I didn’t get much accomplished until almost noon and then I started working on our food storage under the east deck. That was quite a job but I got the inventory of what we have stored there finished. I was excited to find the almonds under there. We had 75lb of almonds that I thought we had lost when we moved from Clinton. This evening we visited Harold Hilton at his home. Evie had told us of how he had a seizer when he came over to see her the other day and we expected to see him quite scrapped and bruised, but he looked good and is doing fine today. We attended a Wedding Reception of Rodney and JoLynn Stevenson’s daughter Rachel to Joseph Limb. It was good to again see Rodney and JoLynn as well as their family. Their children have sure grown up since we have moved from Layton. It was also good to see and visit with several friends that we knew from the Country Creek Ward that. From there we went over to Evie and took her some flowers. She also asked me to give her a Priesthood Blessing, which I felt privileged to do. After returning home, we watched a show on TV that depicted some of the history of Colorado from its origin until present, and it left you with a sick feeling to think where Colorado, as well as our nation, is now. We were late getting to bed.
Sunday, May 22, 2016
We slept in this morning. I prepared breakfast while Mae did her hair. I also caught my journal up to date and worked on my Diary. Meetings went well and following our meetings we went up to David and Shauna’s for dinner. That was very enjoyable and dinner was great. David and I got talking about the farm in Grantsville and before long David started criticizing the Church, and of course that riled me until we just had to quit and drop the subject. Mae was trying to talk to Shauna and we were so loud, it upset her and she could hardly talk to Shauna. She told Shauna she wished David & I wouldn’t get talking about the church. After dinner David, Shanna, Emily, Mae and I drove over to see the lot that they are trying to purchase in Ogden Valley. It is a beautiful building lot. I hope that it all works out for them. We got home after 9PM.
Monday, May 23, 2016
It rained hard during the night and so we slept in this morning. I did some cutting of material for the door frames that will give us access under the mobile home. Mae decided to clean the bed spread quilt today so we took it off and I took Mae to the Laundromat. While she was washing the quilt, I went to Home Depot and got the materials for the stand for a 200 gallon water barrel for Irven and Sandy, plus a little more materials for our house. When we got home, there was some of the quilt that wasn’t quite dry and so we moved chairs into the front room and laid the quilt over them to let it finish drying over night. We watched a show on TV while eating dinner but it was longer than we expected, plus it didn’t end, as it is one of these series they now have on TV. We won’t watch it again.
Tuesday, May 24, 2016
We had to be up early as I have an appointment at the V.A. with my primary Doctor. It was a complete physical. We were very pleased with my primary doctor selection. It will be almost a month but then I will go to the V.A. in Salt Lake with an Audiologist to see about my hearing. Irven and Sandy had called, just before we left for my appointment, and want some things from Costco, so we stopped there on the way home. Scott brought the kitchen range hood that they have repainted for Mae over, and so I spent the afternoon reinstalling it. Mae is sure pleased with it and it looks so much better than before. After dinner I did the dishes and cleaned up the kitchen while Mae went over to visit Sister Darma Cosper. Darma’s sister Jeneane Browning is now under Hospice care and isn’t expected to live much longer. This is really hard on her as Jimmy, her husband, passed away on December 24th, then about a month later her older Sister died and now her youngest sister will be leaving her and they have been really close. Jeanenne lives here in the park also. I also played a game of Harts and won that game. I am winning quite a few games, due to the game that I play. The Jack of Diemen’s is worth +10 points and I am capturing it often. I looked for a Medical Alert necklace but quit as they want $40 for one. I will look into this more before ordering. It is now 10:30pm so we had better get to bed.
Wednesday, May 25, 2016
We got up this morning and got ready to go with Bishop and Sister Mullin to the Payson Temple. Mae had started breakfast while I showered and dressed, and then I finished breakfast while she got ready. Bishop and Ravee came just a few minutes after 9am. Riding in the car in the back seat I could hear very little of the conversation as we drove. We got to the Payson Temple just after 11am so went on the 11:30am session. Mae and I were asked to be the company witnesses so that was special. The Temple is very beautiful and we enjoyed attending the session. On the way home, we stopped at the Sizzler in Bountiful and had lunch. Shortly after leaving the Temple, Bishop got a call informing him that Jeneane Browning, of our ward, passed away this morning.  After getting home, Mae and I went over to Sister Darma Cooper to visit her as she was Jeneane Browning’s older sister. We then walked over to Tim and Charlene Smith’s down east of us and visited with Tim for a few minutes. Charlene was not there today. This evening Mae and I played three games of Rummikub before going to bed and I won 2 out of 3.
Thursday, May 26, 2016
I cooked fish and eggs this morning, and while I got breakfast Mae vacuumed the car. While Mae got ready to go to the Ogden Temple, I took the car over and got it washed. We went over to the church house and Kerry Shaw soon joined us. Tom and Sheila Harper also met us in the Chapel. I set with Tom in the back where they had a screen set up for him in American Sign. It is really amazing to watch Tom respond when you realize the effort it is for him being deaf and dumb. Then when we were ready for the Prayer Circle, Sheila was going to come back to sign for Tom, but when Tom saw Sheila start to move her wheel-chair, he got up and went to the front and the two of them participated in the prayer circle. Mae and I also went up and I had trouble controlling my emotions to see Sheila sign for Tom. Following the session, I asked Sheila if they were going to join us for lunch but Sheila declined saying “There was too much month left and not enough money. I had to admit that is a problem with many of us. I wanted to just invite them and I would pay for it, but I hesitated too long and we really don’t have the money to pay for them. Kerry, Mae and I ate lunch in the cafeteria, although Mae and I just had a salad today. This evening Mae and I went over to Georgia and Rick’s where we got the flowers for Memorial Day. We then went to the Layton High School Auditorium to see the Legacy Junior High choir perform. Ashley participated in the program. I was amazed at the number of students that participated and the full house that was there to support them. It was a very good program.
Friday, May 27, 2016
Irven and Sandy came at 7:55am, just as we were getting up. We had picked up some items at Costco. for them. Mae made a wonderful breakfast of hot cakes & eggs. I started working on Irven and Sandy’s water storage, but decided to modify my table saw so that I can plug in my vacuum into it, so that when I start the saw, the vacuum will also start. That turned into more of a job than I had anticipated. Mae and I took time to go to the Gifford’s and work on the gardens and spray the fruit trees. We also had a company come and power wash our house for us. It needed it but we are sure short on cash. I got the electrical changes made to the saw and then put up my tools for the day. After some dinner, I finished putting up the materials and locked my tool trailer. This evening we watched a show on Net Flex before going to bed.
Saturday, May 28, 2016
It was after 8am when I got up and Mae was up a little before that. After breakfast I got a few things ready to take to Morgan as we go up there for Memorial Day. I then went down to the storage lot and put the camper jacks down so it will take the weight off the truck. We don’t want to take it off the truck as on the 6th of June we are going to go with Bishop and Ravee camping for three days. We then attended the Viewing and Funeral service for Jeneane Browning. It was a very appropriate service and there were a lot of family in attendance. We came home from the services and got things ready to go to the Morgan Cemetery to decorate Mae’s families’ graves. Sandi met us at our place, where she left her car and she road up with us. We had several of our family members along with several of Mae’s siblings and their families also came. Georgia and Rick were not there as they are on vacation to Europe and none of their family came either. It was good to have Terry, Angila and some of their family with us. We met back at the Morgan City park where we ate together and then joined in various activities. It was late when we got home and to bed.
Sunday, May 29, 2016
We slept in until almost 8am. It was a relaxed morning with a light breakfast. We both did some scripture studding this morning as well as reading the first chapter of “Following Christ”. That will be the subject that Bishop Mullins will be using for his combined Priesthood and Relief Society lesson today. We enjoyed all of our meetings today. This evening the Graf’s invited us over for dinner. They served a very nice dinner. Following dinner Ron, Dianne, Loran (their niece), Mae and I played some games. It was an enjoyable evening and we got home about 9PM. I entered this journal entry before going to bed.
Monday, May 30, 2016
I spent most of the day working on the door jams that will go to the three entrances underneath the house. This evening we invited Tim Grogan, next door, to have dinner with us. We then went to visit Evie Hilton and then over to visit Bob. It was 9pm when we got to Bob’s but he wanted us to stay and watch a movie with him. We didn’t, as we were both tired. When we got home we soon went to bed.
Tuesday, May 31, 2016
I woke early and Mae didn’t sleep very well last night. About 7am Mae laid back down and I let her sleep until 8am when I got breakfast for us. We had a good turnout for the Temple this morning. The Baptismal workers couldn’t have been more pleasant and made the time there so enjoyable. After getting home and eating, Mae put up her hair while I took a nap. This afternoon we went to Jerry’s Nursery and bought some Banana Squash and Cucumbers plants and came home and got them planted. We went down to Gifford’s and worked in the garden there. Bishop and Brother Presnell came by to see if I could check the electrical out on Marianne Ray’s car. I told them that I could check out part of it but could not promise that I could find the problem. Bishop will come by when he can tomorrow and I will go down with him and we will do what we can. I made Almond Butter this evening. Mae got our food inventory under the East patio entered into our computer. That will help us know what we have and where to find it. I made up some Crunchy Almond Butter and also typed up the recipe of the way I made it. It was much easier than using the Vitamix to grind it, also less messy. I also called and talked to Barbie about Roy coming up this summer for a couple of weeks. It is now 10:45pm so we will call it a day.


The main applications of factor analytic techniques are: (1) to reduce the number of variables and (2) to detect structure in the relationships between variables, that is to classify variables. Therefore, factor analysis is applied as a data reduction or structure detection method (the term factor analysis was first introduced by Thurstone, 1931). The topics listed below will describe the principles of factor analysis, and how it can be applied towards these two purposes. We will assume that you are familiar with the basic logic of statistical reasoning as described in Elementary Concepts. Moreover, we will also assume that you are familiar with the concepts of variance and correlation; if not, we advise that you read the Basic Statistics chapter at this point.
There are many excellent books on factor analysis. For example, a hands-on how-to approach can be found in Stevens (1986); more detailed technical descriptions are provided in Cooley and Lohnes (1971); Harman (1976); Kim and Mueller, (1978a, 1978b); Lawley and Maxwell (1971); Lindeman, Merenda, and Gold (1980); Morrison (1967); or Mulaik (1972). The interpretation of secondary factors in hierarchical factor analysis, as an alternative to traditional oblique rotational strategies, is explained in detail by Wherry (1984).
Confirmatory factor analysis. Structural Equation Modeling (SEPATH) allows you to test specific hypotheses about the factor structure for a set of variables, in one or several samples (e.g., you can compare factor structures across samples).
Correspondence analysis. Correspondence analysis is a descriptive/exploratory technique designed to analyze two-way and multi-way tables containing some measure of correspondence between the rows and columns. The results provide information which is similar in nature to those produced by factor analysis techniques, and they allow one to explore the structure of categorical variables included in the table. For more information regarding these methods, refer to Correspondence Analysis.
| To index |
Basic Idea of Factor Analysis as a Data Reduction Method
Suppose we conducted a (rather "silly") study in which we measure 100 people's height in inches and centimeters. Thus, we would have two variables that measure height. If in future studies, we want to research, for example, the effect of different nutritional food supplements on height, would we continue to use both measures? Probably not; height is one characteristic of a person, regardless of how it is measured.
Let us now extrapolate from this "silly" study to something that one might actually do as a researcher. Suppose we want to measure people's satisfaction with their lives. We design a satisfaction questionnaire with various items; among other things we ask our subjects how satisfied they are with their hobbies (item 1) and how intensely they are pursuing a hobby (item 2). Most likely, the responses to the two items are highly correlated with each other. (If you are not familiar with the correlation coefficient, we recommend that you read the description in Basic Statistics - Correlations) Given a high correlation between the two items, we can conclude that they are quite redundant.
Combining Two Variables into a Single Factor. One can summarize the correlation between two variables in a scatterplot. A regression line can then be fitted that represents the "best" summary of the linear relationship between the variables. If we could define a variable that would approximate the regression line in such a plot, then that variable would capture most of the "essence" of the two items. Subjects' single scores on that new factor, represented by the regression line, could then be used in future data analyses to represent that essence of the two items. In a sense we have reduced the two variables to one factor. Note that the new factor is actually a linear combination of the two variables.
Principal Components Analysis. The example described above, combining two correlated variables into one factor, illustrates the basic idea of factor analysis, or of principal components analysis to be precise (we will return to this later). If we extend the two-variable example to multiple variables, then the computations become more involved, but the basic principle of expressing two or more variables by a single factor remains the same.
Extracting Principal Components. We do not want to go into the details about the computational aspects of principal components analysis here, which can be found elsewhere (references were provided at the beginning of this section). However, basically, the extraction of principal components amounts to a variance maximizing (varimax) rotation of the original variable space. For example, in a scatterplot we can think of the regression line as the original X axis, rotated so that it approximates the regression line. This type of rotation is called variance maximizing because the criterion for (goal of) the rotation is to maximize the variance (variability) of the "new" variable (factor), while minimizing the variance around the new variable (see Rotational Strategies).
Generalizing to the Case of Multiple Variables. When there are more than two variables, we can think of them as defining a "space," just as two variables defined a plane. Thus, when we have three variables, we could plot a three- dimensional scatterplot, and, again we could fit a plane through the data.
With more than three variables it becomes impossible to illustrate the points in a scatterplot, however, the logic of rotating the axes so as to maximize the variance of the new factor remains the same.
Multiple orthogonal factors. After we have found the line on which the variance is maximal, there remains some variability around this line. In principal components analysis, after the first factor has been extracted, that is, after the first line has been drawn through the data, we continue and define another line that maximizes the remaining variability, and so on. In this manner, consecutive factors are extracted. Because each consecutive factor is defined to maximize the variability that is not captured by the preceding factor, consecutive factors are independent of each other. Put another way, consecutive factors are uncorrelated or orthogonal to each other.
How many Factors to Extract? Remember that, so far, we are considering principal components analysis as a data reduction method, that is, as a method for reducing the number of variables. The question then is, how many factors do we want to extract? Note that as we extract consecutive factors, they account for less and less variability. The decision of when to stop extracting factors basically depends on when there is only very little "random" variability left. The nature of this decision is arbitrary; however, various guidelines have been developed, and they are reviewed in Reviewing the Results of a Principal Components Analysis under Eigenvalues and the Number-of- Factors Problem.
Reviewing the Results of a Principal Components Analysis. Without further ado, let us now look at some of the standard results from a principal components analysis. To reiterate, we are extracting factors that account for less and less variance. To simplify matters, one usually starts with the correlation matrix, where the variances of all variables are equal to 1.0. Therefore, the total variance in that matrix is equal to the number of variables. For example, if we have 10 variables each with a variance of 1 then the total variability that can potentially be extracted is equal to 10 times 1. Suppose that in the satisfaction study introduced earlier we included 10 items to measure different aspects of satisfaction at home and at work. The variance accounted for by successive factors would be summarized as follows:
| STATISTICA FACTOR ANALYSIS |
Eigenvalues
(factor.sta) Extraction: Principal components | |||
|---|---|---|---|---|
| Value |
Eigenval |
% total Variance |
Cumul. Eigenval |
Cumul. % |
| 1 2 3 4 5 6 7 8 9 10 |
6.118369 1.800682 .472888 .407996 .317222 .293300 .195808 .170431 .137970 .085334 |
61.18369 18.00682 4.72888 4.07996 3.17222 2.93300 1.95808 1.70431 1.37970 .85334 |
6.11837 7.91905 8.39194 8.79993 9.11716 9.41046 9.60626 9.77670 9.91467 10.00000 |
61.1837 79.1905 83.9194 87.9993 91.1716 94.1046 96.0626 97.7670 99.1467 100.0000 |
Eigenvalues
In the second column (Eigenvalue) above, we find
the variance on the new factors that were successively extracted. In the third
column, these values are expressed as a percent of the total variance (in this
example, 10). As we can see, factor 1 accounts for 61 percent of the variance,
factor 2 for 18 percent, and so on. As expected, the sum of the eigenvalues is
equal to the number of variables. The third column contains the cumulative
variance extracted. The variances extracted by the factors are called the
eigenvalues. This name derives from the computational issues involved.
Eigenvalues and the Number-of-Factors Problem
Now that we have a
measure of how much variance each successive factor extracts, we can return to
the question of how many factors to retain. As mentioned earlier, by its nature
this is an arbitrary decision. However, there are some guidelines that are
commonly used, and that, in practice, seem to yield the best results.
The Kaiser criterion. First, we can retain only factors with eigenvalues greater than 1. In essence this is like saying that, unless a factor extracts at least as much as the equivalent of one original variable, we drop it. This criterion was proposed by Kaiser (1960), and is probably the one most widely used. In our example above, using this criterion, we would retain 2 factors (principal components).
The scree test. A graphical method is the scree test first proposed by Cattell (1966). We can plot the eigenvalues shown above in a simple line plot.
Cattell suggests to find the place where the smooth decrease of eigenvalues appears to level off to the right of the plot. To the right of this point, presumably, one finds only "factorial scree" -- "scree" is the geological term referring to the debris which collects on the lower part of a rocky slope. According to this criterion, we would probably retain 2 or 3 factors in our example.
Which criterion to use. Both criteria have been studied in detail (Browne, 1968; Cattell & Jaspers, 1967; Hakstian, Rogers, & Cattell, 1982; Linn, 1968; Tucker, Koopman & Linn, 1969). Theoretically, one can evaluate those criteria by generating random data based on a particular number of factors. One can then see whether the number of factors is accurately detected by those criteria. Using this general technique, the first method (Kaiser criterion) sometimes retains too many factors, while the second technique (scree test) sometimes retains too few; however, both do quite well under normal conditions, that is, when there are relatively few factors and many cases. In practice, an additional important aspect is the extent to which a solution is interpretable. Therefore, one usually examines several solutions with more or fewer factors, and chooses the one that makes the best "sense." We will discuss this issue in the context of factor rotations below.
Principal Factors Analysis
Before we continue to examine the
different aspects of the typical output from a principal components analysis,
let us now introduce principal factors analysis. Let us return to our
satisfaction questionnaire example to conceive of another "mental model" for
factor analysis. We can think of subjects' responses as being dependent on two
components. First, there are some underlying common factors, such as the
"satisfaction-with-hobbies" factor we looked at before. Each item measures some
part of this common aspect of satisfaction. Second, each item also captures a
unique aspect of satisfaction that is not addressed by any other item.
Communalities. If this model is correct, then we should not expect that the factors will extract all variance from our items; rather, only that proportion that is due to the common factors and shared by several items. In the language of factor analysis, the proportion of variance of a particular item that is due to common factors (shared with other items) is called communality. Therefore, an additional task facing us when applying this model is to estimate the communalities for each variable, that is, the proportion of variance that each item has in common with other items. The proportion of variance that is unique to each item is then the respective item's total variance minus the communality. A common starting point is to use the squared multiple correlation of an item with all other items as an estimate of the communality (refer to Multiple Regression for details about multiple regression). Some authors have suggested various iterative "post-solution improvements" to the initial multiple regression communality estimate; for example, the so-called MINRES method (minimum residual factor method; Harman & Jones, 1966) will try various modifications to the factor loadings with the goal to minimize the residual (unexplained) sums of squares.
Principal factors vs. principal components. The defining characteristic then that distinguishes between the two factor analytic models is that in principal components analysis we assume that all variability in an item should be used in the analysis, while in principal factors analysis we only use the variability in an item that it has in common with the other items. A detailed discussion of the pros and cons of each approach is beyond the scope of this introduction (refer to the general references provided in Principal components and Factor Analysis - Introductory Overview). In most cases, these two methods usually yield very similar results. However, principal components analysis is often preferred as a method for data reduction, while principal factors analysis is often preferred when the goal of the analysis is to detect structure (see Factor Analysis as a Classification Method).
| To index |
Factor Analysis as a Classification Method
Let us now return to the interpretation of the standard results from a factor analysis. We will henceforth use the term factor analysis generically to encompass both principal components and principal factors analysis. Let us assume that we are at the point in our analysis where we basically know how many factors to extract. We may now want to know the meaning of the factors, that is, whether and how we can interpret them in a meaningful manner. To illustrate how this can be accomplished, let us work "backwards," that is, begin with a meaningful structure and then see how it is reflected in the results of a factor analysis. Let us return to our satisfaction example; shown below is the correlation matrix for items pertaining to satisfaction at work and items pertaining to satisfaction at home.
| STATISTICA FACTOR ANALYSIS |
Correlations
(factor.sta) Casewise deletion of MD n=100 | |||||
|---|---|---|---|---|---|---|
| Variable | WORK_1 | WORK_2 | WORK_3 | HOME_1 | HOME_2 | HOME_3 |
| WORK_1 WORK_2 WORK_3 HOME_1 HOME_2 HOME_3 |
1.00 .65 .65 .14 .15 .14 |
.65 1.00 .73 .14 .18 .24 |
.65 .73 1.00 .16 .24 .25 |
.14 .14 .16 1.00 .66 .59 |
.15 .18 .24 .66 1.00 .73 |
.14 .24 .25 .59 .73 1.00 |
Factor Loadings. Let us now perform a principal components analysis and look at the two-factor solution. Specifically, let us look at the correlations between the variables and the two factors (or "new" variables), as they are extracted by default; these correlations are also called factor loadings.
| STATISTICA FACTOR ANALYSIS |
Factor Loadings
(Unrotated) Principal components | |
|---|---|---|
| Variable | Factor 1 | Factor 2 |
| WORK_1 WORK_2 WORK_3 HOME_1 HOME_2 HOME_3 |
.654384 .715256 .741688 .634120 .706267 .707446 |
.564143 .541444 .508212 -.563123 -.572658 -.525602 |
| Expl.Var Prp.Totl |
2.891313 .481885 |
1.791000 .298500 |
Rotating the Factor Structure. We could plot the factor loadings shown above in a scatterplot. In that plot, each variable is represented as a point. In this plot we could rotate the axes in any direction without changing the relative locations of the points to each other; however, the actual coordinates of the points, that is, the factor loadings would of course change. In this example, if you produce the plot it will be evident that if we were to rotate the axes by about 45 degrees we might attain a clear pattern of loadings identifying the work satisfaction items and the home satisfaction items.
Rotational strategies. There are various rotational strategies that have been proposed. The goal of all of these strategies is to obtain a clear pattern of loadings, that is, factors that are somehow clearly marked by high loadings for some variables and low loadings for others. This general pattern is also sometimes referred to as simple structure (a more formalized definition can be found in most standard textbooks). Typical rotational strategies are varimax, quartimax, and equamax.
We have described the idea of the varimax rotation before (see Extracting Principal Components), and it can be applied to this problem as well. As before, we want to find a rotation that maximizes the variance on the new axes; put another way, we want to obtain a pattern of loadings on each factor that is as diverse as possible, lending itself to easier interpretation. Below is the table of rotated factor loadings.
| STATISTICA FACTOR ANALYSIS |
Factor Loadings
(Varimax normalized) Extraction: Principal components | |
|---|---|---|
| Variable | Factor 1 | Factor 2 |
| WORK_1 WORK_2 WORK_3 HOME_1 HOME_2 HOME_3 |
.862443 .890267 .886055 .062145 .107230 .140876 |
.051643 .110351 .152603 .845786 .902913 .869995 |
| Expl.Var Prp.Totl |
2.356684 .392781 |
2.325629 .387605 |
Interpreting the Factor Structure. Now the pattern is much clearer. As expected, the first factor is marked by high loadings on the work satisfaction items, the second factor is marked by high loadings on the home satisfaction items. We would thus conclude that satisfaction, as measured by our questionnaire, is composed of those two aspects; hence we have arrived at a classification of the variables.
Consider another example, this time with four additional Hobby/Misc variables added to our earlier example.
In the plot of factor loadings above, 10 variables were reduced to three specific factors, a work factor, a home factor and a hobby/misc. factor. Note that factor loadings for each factor are spread out over the values of the other two factors but are high for its own values. For example, the factor loadings for the hobby/misc variables (in green) have both high and low "work" and "home" values, but all four of these variables have high factor loadings on the "hobby/misc" factor.
Oblique Factors. Some authors (e.g., Catell & Khanna; Harman, 1976; Jennrich & Sampson, 1966; Clarkson & Jennrich, 1988) have discussed in some detail the concept of oblique (non-orthogonal) factors, in order to achieve more interpretable simple structure. Specifically, computational strategies have been developed to rotate factors so as to best represent "clusters" of variables, without the constraint of orthogonality of factors. However, the oblique factors produced by such rotations are often not easily interpreted. To return to the example discussed above, suppose we would have included in the satisfaction questionnaire above four items that measured other, "miscellaneous" types of satisfaction. Let us assume that people's responses to those items were affected about equally by their satisfaction at home (Factor 1) and at work (Factor 2). An oblique rotation will likely produce two correlated factors with less-than- obvious meaning, that is, with many cross-loadings.
Hierarchical Factor Analysis. Instead of computing loadings for often difficult to interpret oblique factors, you can use a strategy first proposed by Thompson (1951) and Schmid and Leiman (1957), which has been elaborated and popularized in the detailed discussions by Wherry (1959, 1975, 1984). In this strategy, you first identify clusters of items and rotate axes through those clusters; next the correlations between those (oblique) factors is computed, and that correlation matrix of oblique factors is further factor-analyzed to yield a set of orthogonal factors that divide the variability in the items into that due to shared or common variance (secondary factors), and unique variance due to the clusters of similar variables (items) in the analysis (primary factors). To return to the example above, such a hierarchical analysis might yield the following factor loadings:
| STATISTICA FACTOR ANALYSIS |
Secondary & Primary
Factor Loadings | ||
|---|---|---|---|
| Factor | Second. 1 | Primary 1 | Primary 2 |
| WORK_1 WORK_2 WORK_3 HOME_1 HOME_2 HOME_3 MISCEL_1 MISCEL_2 MISCEL_3 MISCEL_4 |
.483178 .570953 .565624 .535812 .615403 .586405 .780488 .734854 .776013 .714183 |
.649499 .687056 .656790 .117278 .079910 .065512 .466823 .464779 .439010 .455157 |
.187074 .140627 .115461 .630076 .668880 .626730 .280141 .238512 .303672 .228351 |
Careful examination of these loadings would lead to the following conclusions:
Confirmatory Factor Analysis. Over the past 15 years, so-called confirmatory methods have become increasingly popular (e.g., see J?kog and S?m, 1979). In general, one can specify a priori, a pattern of factor loadings for a particular number of orthogonal or oblique factors, and then test whether the observed correlation matrix can be reproduced given these specifications. Confirmatory factor analyses can be performed via Structural Equation Modeling (SEPATH).
| To index |
Miscellaneous Other Issues and Statistics
Factor Scores. We can estimate the actual values of individual cases (observations) for the factors. These factor scores are particularly useful when one wants to perform further analyses involving the factors that one has identified in the factor analysis.
Reproduced and Residual Correlations. An additional check for the appropriateness of the respective number of factors that were extracted is to compute the correlation matrix that would result if those were indeed the only factors. That matrix is called the reproduced correlation matrix. To see how this matrix deviates from the observed correlation matrix, one can compute the difference between the two; that matrix is called the matrix of residual correlations. The residual matrix may point to "misfits," that is, to particular correlation coefficients that cannot be reproduced appropriately by the current number of factors.
Matrix Ill-conditioning. If, in the correlation matrix there are variables that are 100% redundant, then the inverse of the matrix cannot be computed. For example, if a variable is the sum of two other variables selected for the analysis, then the correlation matrix of those variables cannot be inverted, and the factor analysis can basically not be performed. In practice this happens when you are attempting to factor analyze a set of highly intercorrelated variables, as it, for example, sometimes occurs in correlational research with questionnaires. Then you can artificially lower all correlations in the correlation matrix by adding a small constant to the diagonal of the matrix, and then restandardizing it. This procedure will usually yield a matrix that now can be inverted and thus factor-analyzed; moreover, the factor patterns should not be affected by this procedure. However, note that the resulting estimates are not exact.
| To index |


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Viviana Sexton
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Seattle area disc golf website built with Twitter Boostrap and Ruby on Rails.
Calculator developed with jQuery, Twitter Bootstrap and Javascript Expression Calculator.
Weather app built using the Google Maps, New York Times and OpenWeather APIs.
Full stack non-framework PHP application with user authentication and social chat page.


Serverless Framework Contact Form
Lorem Ipsum is simply dummy text of the printing and typesetting industry
First name
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Email Address
Message
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You can purchase hardwoods from a local hardwood mill, at Woodshops like WoodCraft, or even online. Butcher blocks require hardwoods, so be sure not to use softwoods as the knife can slice into the block, leaving deep incisions in your hard work. The deep slices also create a pourous surface known to promote harmful bacteria growth. In this example, I am using a 6 foot, 8/4 (pronounced "Eight-quarter") thick, piece of Black Walnut. 8/4 simply means it is 2 inches thick.
Normally, you would use the jointer on one side to aquire a flat side before planing the wood, but I do not have a jointer. I have built a jig that enables me to use my tables saw as a jointer, as seen here. By using a jointer, the wood will now have a perfectly flat face and edge to use in the planer to ensure uniformity.
Your wood will likely be rough-sawn, meaning the wood has only been sawn with a chainsaw, or equivelant. It is necessary to wear leather gloves while handling because the splinters can be excessive. The wood will need to be ran through a thickness planer for two reasons:


Human life has become so dominant in today's world that sometimes little creatures' such as bugs' life is being ignored. This website is designed to possibly direct a small part of your attention to these cute insects. The short video that you can find on the next page illustrates how a bug spends its routine in our chaotic reality where it often gets invisible beacuse of its tiny and unimportant essence. Enjoy!


Thrissur is a city in the south Indian state of Kerala. It's known for sacred sites and colorful festivals. In the center is Vadakkumnathan Temple, dedicated to Lord Shiva and adorned with murals. The ornate, Indo-Gothic Our Lady of Dolours Basilica is nearby. To the north, Thiruvambady Temple is home to several elephants. Sakthan Thampuran Palace houses an archaeology museum with bronze statues and ancient coins.
The city is built around a 65-acre (26 ha) hillock called the Thekkinkadu Maidanam which seats the Vadakkumnathan temple. It is located 304 kilometres (189 mi) towards north-west of the state capital city Trivandrum. Thrissur was once the capital of the Kingdom of Cochin. Thrissur is known as "cultural capital of Kerala" because of its cultural, spiritual and religious leanings throughout history. One of its main cultural events is the Thrissur Pooram, which attracts quite a number of tourists and travellers
There are tree shades and sitting arrangement built around is a good place to relax with friends and family. The rocky falls are really a must visit spot.
Preserved by the Archeological Department now, the Vadakkekara Palace was reconstructed in Kerala-Dutch style in the year 1795 by Sri. Ramavarma Thampuran of the erstwhile Princely State of Cochin.
Located 60 km from Thrissur city, Athirapally Falls is a haven for flora and fauna alike. It is a popular picnic spot and the scenic beauty of the waterfall offers spectacular visuals for visitors.


uSquare is a responsive squared grid that can display your content in a unique and interesting way. You can use it for displaying team members, products, services, designs, blog posts or anything else that comes to your mind. In our live preview we have included 3 modifications of the original file in order for you to see how uSquare can serve your purpose.
While we developed uSquare responsive grid plugin we carefully thought about its responsive layout. We wanted to make sure that all elements are visible and accessible with all resolutions for responsive layout.
 Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris
nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum
dolore eu fugiat nulla pariatur. </div>
</div>
</div>
<!-- block 2 -->
<div class="usquare_block">
.
.
.
</div>
</div>
</div>
* Wrapper class.$('.usquare_module_wrapper').uSquare({
name : value
});
List of available parameters:
| Name | Default | Description |
|---|---|---|
| opening_speed | 300 | Animation speed at which items open |
| closing_speed | 500 | Animation speed at which items close |
| easing | 'swing' | jQuery.easing effects for animations |
| before_item_opening_callback | null | function called whend item is preparing to open (on mouse click) |
| before_info_rolling_callback | null | function called while item is opening (when animation starts) |
| after_info_rolling_callback | null | function called when item opens (at the end of all animations) |
Required: jQuery 1.7+ (Google-hosted)
Required: jQuery Ui (Google-hosted)
Required: jQuery Mousewheel (included)
Required: jQuery Custom Scrollbar (included)
Extra: Use jQuery Easing for additional easing options. (included)
Extra: Use jQuery jcarousel for image slider. (included)


ansible
Manage groups of computers remotely over SSH. (use the `/etc/ansible/hosts` file to add new groups/hosts).
Some subcommands such as `ansible galaxy` have their own usage documentation.
More information: home page
- List hosts belonging to a group:
ansible group --list-hosts
- Ping a group of hosts by invoking the ping module:
ansible group -m ping
- Display facts about a group of hosts by invoking the setup module:
ansible group -m setup
- Execute a command on a group of hosts by invoking command module with arguments:
ansible group -m command -a 'my_command'
- Execute a command with administrative privileges:
ansible group --become --ask-become-pass -m command -a 'my_command'
- Execute a command using a custom inventory file:
ansible group -i inventory_file -m command -a 'my_command'
- List the groups in an inventory:
ansible localhost -m debug -a 'var=groups.keys()'


PyCon, the gathering for the community using and developing the open-source Python programming language. During PyCon Pune, the community will meet for two days of talks and work on upstream projects in two days of dev sprint.
8-9
February
Talk
Dozens of talks chosen by the community
10-11
February
Dev Sprint
Team up to work on upstream projects
Pycon is not focused on any particular language or area of technology. We encourage diverse topics oriented towards the future of Computer Science.
CPython Core Dev, Microsoft
CPython Core Dev, Project Jupyter
Micro:bit, mu editor
Senior Engineer, Walt Disney Animation Studios (WDAS)
PyCharm & WebStorm Developer Advocate, JetBrains
Django Core Developer, Engineer at Eventbrite
Director of Operations, Python Software Foundation


Stockists .
 Aliquid veritatis officia quaerat, eveniet dolorum doloremque impedit facilis consequatur atque deserunt culpa, nesciunt dolore omnis optio ducimus eligendi ullam nulla esse.
NEW ZEALAND
Stockist Name One
Physical address and/or web address
Stockist Name Two
Physical address and/or web address
AUSTRALIA
Stockist Name One
Physical address and/or web address
Stockist Name Two
Physical address and/or web address
COUNTRY
Stockist Name One
Physical address and/or web address
Stockist Name Two
Physical address and/or web address


Native Words
What's this?
Native words are predefined functions with which you can start modifying the stack.
Hover on a word and you will see a description of it. Moreover, you are shown the word's stack effect, which tells how the word affects the stack. Here's an example:
( x y -- y x )
Before "--" is elements that are taken from the stack (when word is used) and after "--" are the elements that are put back. Note that the names in stack effect are only descriptive.
Factor requires you to write stack effects for your own words but this enviroment does not for ease-of-use.
Also, by hovering on word, you get an example of the use in the bottom right corner. Click on the "Step trough..." button to see the example step-by-step.
Hover on a word and you will see a description of it. Moreover, you are shown the word's stack effect, which tells how the word affects the stack. Here's an example:
( x y -- y x )
Before "--" is elements that are taken from the stack (when word is used) and after "--" are the elements that are put back. Note that the names in stack effect are only descriptive.
Factor requires you to write stack effects for your own words but this enviroment does not for ease-of-use.
Also, by hovering on word, you get an example of the use in the bottom right corner. Click on the "Step trough..." button to see the example step-by-step.
Stack
What's this?Stack is the placeholder for values you operate on. Words (i.e. functions) modify the stack, starting from the topmost. You can add a number to stack by just writing it into the input and press enter.
History
Custom words
What's this? SaveYou can define your own words (functions).
The syntax is:
: wordname <sequence of valid symbols> ;
An example : double 2 * ; which would define a word named "double" that puts number 2 on the stack and then uses multiplication word named *.
Click on "Custom words" headline and you will get all of the custom words as a string in the input. By executing that string on another session, you define all of the custom words in one go.
Alternatively, you can save them locally, if your browser supports it. Try it out!
The syntax is:
: wordname <sequence of valid symbols> ;
An example : double 2 * ; which would define a word named "double" that puts number 2 on the stack and then uses multiplication word named *.
Click on "Custom words" headline and you will get all of the custom words as a string in the input. By executing that string on another session, you define all of the custom words in one go.
Alternatively, you can save them locally, if your browser supports it. Try it out!
1 2 +


| Personal protection equipment |
| FFP2 facial mask |
| FFP3 facial mask (in case of maneuvers at high risk of generating aerosolized particles) |
| Disposable long sleeve waterproof coats, gowns, or Tyvek suits |
| Disposable double pair of nitrile gloves |
| Protective goggles or visors, Disposable head caps, Disposable long shoe covers |
| Alcoholic hand hygiene solution |
| FFP filtering face piece |


Crystal Palace having doubts over deal for Chelsea forward Olivier Giroud?
Crystal Palace are allegedly considering ending their interest in Chelsea forward Olivier Giroud.
by Darren PlantHaving fallen down the pecking order at Stamford Bridge, the 33-year-old is expected to be made available by the Blues during the January transfer window.
However, according to the Daily Mail, the France international may price himself out of a move elsewhere if he keeps his current wage demands.
Earlier this week, Inter Milan were said to be against signing Giroud on his current earnings and handing the World Cup winner a two-and-a-half-year contract.
The report adds that Palace share a similar view regarding the veteran, which could prompt the Eagles into switching their attention to other targets.
Giroud has been limited to just one start and four substitute outings in all competitions this season.
body check tags ::


Why the conference?
Our mission is to educate youth from Korea about opportunities and emerging technologies in Silicon Valley by connecting them with industry leaders and future mentors.
Who is the conference for?
51Conference is designed for Korean students and professionals interested in careers and opportunities in Silicon Valley.
When and where will it be?
51Conference 2016 will take place July 28-30 at the Mission Bay Conference Center in San Francisco.
What is the conference schedule?
Visit our Conference Schedule page for details.
How can I register?
Registration is now open! Register online here.
What are the registration rates?
Registration rate for 51Conference is US$850.
Can I register a group?
Yes. Please contact<EMAIL_ADDRESS>for assistance.
What’s included in the cost of the conference?
The registration fee covers 2½ days of conference, give-aways, and meals.
Are all meals provided?
All meals during the time of the conference will be provided.
What is the cancellation policy for the conference?
Registration fees are refundable, less a $35 processing fee, up until July 15. No refund will be issued for cancellations starting July 16, 2016.
How can my organization become a conference sponsor?
To become a sponsor and for more information, please contact<EMAIL_ADDRESS>My question is not listed here. Whom do I contact?
Please contact<EMAIL_ADDRESS>for assistance.
Should I present in English or Korean?
Korean is preferred, but either language is acceptable.
Is parking available?
Parking is available in the conference building, with fees by the hour.
What audio/visual equipment is available?
There is a microphone and a projector in each presenting area.


--- layout: post title: Using NGINX as a Web Server for Drupal date: 2012-10-22 summary: Nginx (engine-x) is a web server that is regarded to be faster than Apache and with a better performance on heavy load. tags: [Web Server, NGINX, Drupal, System Administration] ---
Nginx (engine-x) is a web server that is regarded to be faster than Apache and with a better performance on heavy load. The difference is summed up succinctly in a quote by Chris Lea on the Why Use Nginx? page: "Apache is like Microsoft Word, it has a million options but you only need six. Nginx does those six things, and it does five of them 50 times faster than Apache."
Technically speaking, Apache is a process-and-thread-driven application, while Nginx is event-driven. In practice this means that Nginx needs much less memory than Apache to do the work, and also can work faster. There are claims that Nginx, working in a server of 512MB RAM, can handle 10,000 (yes, ten thousands) concurrent requests without problem, while Apache with such a load would just commit harakiri (suicide). Besides, the configuration of Nginx, once you get used to it, is simpler and more intuitive than that of Apache.
It seemed like something that I should definitely give a try, since my web server already had performance problems and I cannot afford to pay for increasing its capacity. Here I describe the steps for installing and configuring Nginx to suit the needs of my web application (which is based on Drupal7, running on a 512MB RAM server at Rackspace).
In ubuntu server this is very easy:
sudo apt-get install nginx nginx-doc php5-fpm update-rc.d apache2 disable update-rc.d nginx enable service apache2 stop service nginx start
The main config file (/etc/php5/fpm/php-fpm.conf
) did not need to
be changed at all.
On the pool configuration file (/etc/php5/fpm/pool.d/www.conf
) I made
only some small modifications:
;listen = <IP_ADDRESS>:9000 listen = /var/run/php-fpm.sock
pm.max_requests = 5000 php_flag[display_errors] = on php_admin_value[memory_limit] = 128M php_admin_value[max_execution_time] = 90
I also made these modifications on /etc/php5/fpm/php.ini
:
cgi.fix_pathinfo=0 max_execution_time = 90 display_errors = On post_max_size = 16M upload_max_filesize = 16M default_socket_timeout = 90
Finally restarted the service php5-fpm:
service php5-fpm restart
On ubuntu, the configuration of Nginx is located at /etc/nginx/
.
cd /etc/nginx/sites-available/ cp /usr/share/doc/nginx-doc/examples/drupal.gz . gunzip drupal.gz mv drupal btranslator_dev cd /etc/nginx/sites-enabled/ ln -s ../sites-available/btranslator_dev .
/etc/nginx/sites-enabled/btranslator_dev
modify server_name
and root, and also add access_log and error_log:
server_name dev.btranslator.org l10n-dev.org.al; root /var/www/dev.btranslator.org; access_log /var/log/nginx/btranslator_dev.access.log; error_log /var/log/nginx/btranslator_dev.error.log info;
/etc/nginx/sites-enabled/btranslator_dev
, modify the name of
the unix socket at the fastcgi_pass line:
location ~ \.php$ { fastcgi_split_path_info ^(.+\.php)(/.+)$; include fastcgi_params; # Intercepting errors will cause PHP errors to appear in Nginx logs fastcgi_intercept_errors on; fastcgi_pass unix:/var/run/php-fpm.sock; }
/etc/nginx/sites-enabled/btranslator_dev
, add the index line
as well, at the root location:
location / { index index.php; try_files $uri $uri/ @rewrite; }
/etc/nginx/sites-enabled/btranslator_dev
, allow only
localhost to access txt and log files:
location ~* \.(txt|log)$ { allow <IP_ADDRESS>; deny all; }
/etc/nginx/nginx.conf
, decrease worker processes to 1 or 2:
# worker_processes 4; worker_processes 2;
These modifications are all we need, and then we can reload or restart the nginx service:
service nginx restart
Add these lines inside the server section, at
/etc/nginx/sites-enabled/btranslator_dev
:
# Configuration for phpMyAdmin location /phpmyadmin { root /usr/share/; index index.php index.html index.htm; location ~ ^/phpmyadmin/(.+\.php)$ { try_files $uri =404; root /usr/share/; fastcgi_pass unix:/var/run/php-fpm.sock; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include /etc/nginx/fastcgi_params; } location ~* ^/phpmyadmin/(.+\.(jpg|jpeg|gif|css|png|js|ico|html|xml|txt))$ { root /usr/share/; } } location /phpMyAdmin { rewrite ^/* /phpmyadmin last; }
Then reload the nginx service.
Add these lines at /etc/nginx/sites-enabled/btranslator_dev
:
server { listen 80; listen 443 ssl; ssl_certificate /etc/ssl/certs/ssl-cert-snakeoil.pem; ssl_certificate_key /etc/ssl/private/ssl-cert-snakeoil.key; . . . . . }
Since SSL connections have some overhead, to make them more
efficient, add these lines as well at /etc/nginx/nginx.conf
(in
order to increase session timeout and and use less expensive
encryption):
http { . . . . . #keepalive_timeout 65; keepalive_requests 50; keepalive_timeout 300; ## Global SSL options ssl_ciphers HIGH:!aNULL:!MD5:!kEDH; ssl_prefer_server_ciphers on; ssl_protocols TLSv1; ssl_session_cache shared:SSL:10m; ssl_session_timeout 10m; . . . . . }
Then reload nginx.
In order to avoid any DOS attacks, add these lines at /etc/nginx/nginx.conf
http { . . . . . ## limit request frequency to 2 requests per second limit_req_zone $binary_remote_addr zone=one:10m rate=2r/s; limit_req zone=one burst=5; . . . . . }
A full version of the file
/etc/nginx/sites-enabled/btranslator_dev
looks like this:
server { listen 80; listen 443 ssl; ssl_certificate /etc/ssl/certs/ssl-cert-snakeoil.pem; ssl_certificate_key /etc/ssl/private/ssl-cert-snakeoil.key; server_name dev.btranslator.org l10n-dev.org.al; root /var/www-ssl/dev.btranslator.org; access_log /var/log/nginx/btranslator_dev.access.log; error_log /var/log/nginx/btranslator_dev.error.log info; location = /favicon.ico { log_not_found off; access_log off; } location = /robots.txt { allow all; log_not_found off; access_log off; } # This matters if you use drush location = /backup { deny all; } # Very rarely should these ever be accessed outside of your lan location ~* \.(txt|log)$ { allow <IP_ADDRESS>; deny all; } # This location block protects against a known attack. location ~ \..*/.*\.php$ { return 403; } # This is our primary location block. location / { index index.php; try_files $uri $uri/ @rewrite; expires max; } # This will rewrite our request from domain.com/node/1/ to domain.com/index.php?q=node/1 # This could be done in try_files without a rewrite however, the GlobalRedirect # module enforces no slash (/) at the end of URL's. This rewrite removes that # so no infinite redirect loop is reached. location @rewrite { rewrite ^/(.*)$ /index.php?q=$1; } # If a PHP file is served, this block will handle the request. This block # works on the assumption you are using php-cgi listening on /tmp/phpcgi.socket. # Please see the php example (usr/share/doc/nginx/exmaples/php) for more # information about setting up PHP. # NOTE: You should have "cgi.fix_pathinfo = 0;" in php.ini location ~ \.php$ { fastcgi_split_path_info ^(.+\.php)(/.+)$; include fastcgi_params; # Intercepting errors will cause PHP errors to appear in Nginx logs fastcgi_intercept_errors on; fastcgi_pass unix:/var/run/php-fpm.sock; } # The ImageCache module builds an image 'on the fly' which means that # if it doesn't exist, it needs to be created. Nginx is king of static # so there's no point in letting PHP decide if it needs to be servered # from an existing file. # If the image can't be served directly, it's assumed that it doesn't # exist and is passed off to PHP via our previous rewrite to let PHP # create and serve the image. # Notice that try_files does not have $uri/ in it. This is because an # image should never be a directory. So there's no point in wasting a # stat to serve it that way. location ~ ^/sites/.*/files/imagecache/ { try_files $uri @rewrite; } # As mentioned above, Nignx is king of static. If we're serving a static # file that ends with one of the following extensions, it is best to set # a very high expires time. This will generate fewer requests for the # file. These requests will be logged if found, but not if they don't # exist. location ~* \.(js|css|png|jpg|jpeg|gif|ico)$ { expires max; log_not_found off; } # Configuration for phpMyAdmin location /phpmyadmin { root /usr/share/; index index.php index.html index.htm; location ~ ^/phpmyadmin/(.+\.php)$ { try_files $uri =404; root /usr/share/; fastcgi_pass unix:/var/run/php-fpm.sock; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include /etc/nginx/fastcgi_params; } location ~* ^/phpmyadmin/(.+\.(jpg|jpeg|gif|css|png|js|ico|html|xml|txt))$ { root /usr/share/; } } location /phpMyAdmin { rewrite ^/* /phpmyadmin last; } }


For each payment, Stellar charges a base fee of 100 Stroops = 0.00001 XLM distributed via inflation through the stellar network


Why do you want to program?
1/5
What do you like about Programming?
2/5
What's your favorite food!
3/5
What are your hobbies?
4/5
What would you do with a 100$ bill?
5/5


An introduction to Jonathan Holland
This is Grappone Feild, where I play lacrosse
Top three sports at Saint Anselm


LOLITA (1962) A Film Review Copyright Dragan Antulov 2000
Contemporary media are flooded with images of young, often adolescent, girls (and boys), who are sometimes not so subtly presented as desirable sexual objects. However, if someone takes those not so subliminal messages seriously and tries to act on them, he is usually branded as worst possible human scum and monster. Even worse things happen to those who try make books or movies in which they try to present that problem from the perspective of such monsters. If such reaction could be expected in our, presumably more liberal, time we could only imagine the difficulties that faced the authors of similar books and films few decades ago. Taking this into account, we must really appreciate the bravery of Russian emigre author Vladimir Nabokov. In 1955 he risked his reputation with his novel LOLITA, novel that described obsession of middle-aged intellectual with 12-year old girl. Seven years later, the literary world was still recovering from the shock when another great artist showed the same bravery. Stanley Kubrick took almost impossible task of adapting this controversial novel for the silver screen, and the result was one of the landmark events in history of cinema.
Plot of the film deals with Professor Humbert Humbert (played by James Mason), European writer who came to America after WW2. Before he takes teaching position in one of American colleges, Humbert would like to spend summer in small resort town of Ramsdale, New Hampshire. He rents the room in the home of Charlotte Haze (played by Shelley Winters), widow who is obviously attracted to cultivated European. Humbert, on the other hand, becomes enchanted with her 15-year old daughter Dolores alias Lolita (played by Sue Lyon), who seems to enjoy teasing him. After some time Humbert decides to marry Charlotte only to remain close to the object of his affection. This bizarre love triangle is crushed when Charlotte finds Humbert's secret diary in which he described his true feelings. Unable to confront mind- shattering discovery, Charlotte runs on the street and gets killed by a car. Humbert is now free to have his way with Lolita and use his role of stepfather in order to become her lover. But his idyllic life and relationship would be threatened by group of mysterious people that seem to be connected to television writer Clare Quilty (played by Peter Sellers).
Although Nabokov himself wrote the screenplay and although he praised the film in later interviews, many fans of the novel accuse Kubrick of unfaithfulness to the film's literary source. Many of those people forget that the best novels are often very difficult or almost impossible to be faithfully adapted for the screen, and that Kubrick, like any other sensible filmmaker, had to make some serious changes in the material and re-write Nabokov's original 400 page screenplay in order to make it filmable. During such re-writes Kubrick also had to take censorship into account; some changes had to be made in order to accommodate the producers and conservative segments of the audience. The most important in all those changes was the decision to raise the age of Lolita from 12 to 15, thus making her relationship with Humbert somewhat more acceptable for 1960s standards. Kubrick thus made the film more acceptable for censors, and LOLITA today seems rather tame. But the promotional tagline "How did they ever make a movie of Lolita?" was quite on the spot in its time, because it was one of the first Hollywood films that tackled the issue of erotic obsession and unconventional sexuality.
One of the reasons why the public accepted LOLITA was in Kubrick's approach to Nabokov's material. Kubrick in all of his classic films liked to present People As They Are, and not People As They Should Be. Troubled characters of the novel and writer's often-sarcastic observations about post-WW2 America were perfect for Kubrick's trademark cynicism. So, instead of moralising or presenting the events of the novel as mind-shattering tragedy, Kubrick simply turned LOLITA into dark comedy. All major characters in the novel are deeply tragic, yet in Kubrick's vision they are also very funny. The script equipped them with lines full of double entendres, but Kubrick also makes us laugh with his superb directorial skills. Almost any scene is elaborately staged, with great care for the details that reveal much about characters and things that they couldn't do or say on the 1960s screen. The movie takes place in America, but Kubrick used exclusively English locations. The audience, thanks to suggestive black-and-white photography by Oswald Morris, doesn't notice it, and this is another proof of Kubrick's talent. Another example of such talent is the way Kubrick turned producer's meddling of screenplay into advantage - the producers insisted that the last scene of the novel had to be shown in the beginning in order to initially show the protagonist as cold-blooded murderer and thus prevent any sympathies for him in the rest of the film. Kubrick, instead, used this opportunity to make characters more tragic - the audience know that they are doomed and all their actions have a flavour of Greek tragedy laced with misanthropy and black humour.
However, the most memorable element of the film is in its characters and actors playing them. Sue Lyon, who plays Lolita, was 16 years old during the production and that is probably movie's only major flaw. Her figure - which is quite evident in the scenes like her introduction to Humbert, when she tans herself on the lawn, wearing skimpy bikini - is somewhat too developed for someone we usually associate with paedophiles' dark objects of desire. Lyon tries to compensate that by playing Lolita as immature annoying brat trapped in the body of grown woman, and, later, as clever teaser and manipulator. Lyon's talent is enhanced with infantile, yet somewhat menacing musical theme by Bob Harris that plays constantly in background. Another great performance is given by Shelley Winters, whose role seems somewhat similar to the role she had played in Laughton's NIGHT OF THE HUNTER.  Although Shelley Winters became somewhat typecast after this film, her performance is great; her character might be poster girl for misogyny, but we still pity her. James Mason as Humbert Humbert has more scenes, since the story is being told from his POV, but he fares no better in the end. Mason portrays this cultivated, mild- mannered gentleman from aristocratic Europe as being equally affected by dark desires and perversions as the rest of society.  However, the man who stole the film is Peter Sellers as Clare Quilty. Sellers does wonders with the character reduced to nothing more than dark, menacing presence in the novel, making him vulgar, unscrupulous but intelligent and finally superior to old-school Humbert. Sellers also used this opportunity to experiment by playing the same character in three different incarnations, which would, later lead to the great multiple roles in Kubrick's DOCTOR STRANGELOVE. Many people like to criticise Sellers' multiple appearances in the film as too distracting, but his presence actually contributes to film's ironic tone.
The biggest flaw of LOLITA is perhaps the fact that it wasn't made ten or fifteen years later, when the attitudes towards depiction of sex or taboo subjects like paedophilia and incest were more liberal (when Louis Malle made few brave excursions into such dark area). However, Kubrick made excellent film even in such circumstances, and today's audience may still enjoy it, which is another proof of its timeless quality. LOLITA also became one of those great films that have the rare privilege of having been remade in satisfactory fashion by Adrian Lyne in 1997.
RATING: 9/10 (++++)
Review written on February 28th 2000
Dragan Antulov a.k.a. Drax Fido: 2:381/100 E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>Filmske recenzije na hrvatskom/Movie Reviews in Croatian http://film.purger.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: Linux Supported Ableton-like DAW Bitwig Studio Announced ! /cc @goldfishyo published: true --- If this thing has a native OSC layer, it's going to be so rad!


Classes
|
Functions
PxVec3.h File Reference
#include "
foundation/PxMath.h
"
This graph shows which files directly or indirectly include this file:
Go to the source code of this file.
Classes
class
PxVec3
3 Element vector class.
More...
Functions
static
PX_CUDA_CALLABLE
PX_FORCE_INLINE
PxVec3
operator*
(float f, const
PxVec3
&v)
packman-repo
PxShared-public
1.1.trunk.29467035
include
foundation
PxVec3.h
Copyright © 2008-2021 NVIDIA Corporation, 2788 San Tomas Expressway, Santa Clara, CA 95051 U.S.A. All rights reserved.
www.nvidia.com


Tony, a retired Canterbury sheep farmer, had seen dogs housed in some pretty miserable conditions during his high country days and he knew there had to be better ways to look after valuable working dogs. Tony knew that a warmer kennel wasn’t just about comfort, warm dogs eat less and they work longer. The kennel also needed to be light so it could be transported easily and it couldn’t be too expensive.


map
/collect
/each
block by introducing a map
/collect
before it.
Warning: In some situations the substitution may be semantically different.
For example, when the iterator is not lazy and there are side-effects being performed by the extracted statements, the side-effects will be executed in a different order.
It is recommended to check the code behaviour after applying this intention.


class: center, middle, inverse, title-slide # What Evaluation Can Learn From Data Science ### David Keyes --- layout: true

 --- class: center, middle ![](images/data-science-eval-venn-no-text.png) --- class: center, middle ![](images/data-science-eval-venn.png) --- class: center, middle ![](images/data-science-transparent.png) --- class: center, middle ![](images/data-science-front-back.png) --- class: center, middle ![](images/data-science-automate.png) --- class: center, middle ![](images/data-science-r-workflow-tool.png) --- class: inverse, dk-section-title, middle, center # My Path to
"Data Science" --- class: center ## I'm a Data Scientist? ![](https://media.giphy.com/media/3ov9jRp0Va1tqgxIk0/giphy.gif) --- class: center ## How I Learned R -- ![](https://media.giphy.com/media/243oy9RLp1Owg/giphy.gif) ??? - The fact that there are so many ways to do anything in R is both a blessing and curse for newbies - I remember a period of several months where I would do some reading or tutorials about R and then try to work on a project. I think there were at least five projects that I started in R, got to a point where I couldn’t do something, and had to go back to Excel. It was super frustrating! --- class: center, middle ![](images/data-science-models-data.png) --- class: center, middle ![](images/data-science-models-data-not-same.png) --- class: inverse, dk-section-title, middle, center # What is Data Science Exactly? ??? Have people give ideas about what data science is --- class: center, middle ![](images/what-is-data-science-tweet.png) ??? - Sexy field today, both for orgs and individuals - Branding exercise to get more cache + $ - But if we only think of it as the stats part, we're missing a whole side of what data scientists do --- class: center, middle ![](images/data-science-focus-on-data.png) --- class: inverse, dk-section-title, middle, center # What Can Data Science Teach Evaluation? --- class: inverse, dk-section-title, middle background-image: url("images/mistake.jpg") ## Lesson #1
Make your work transparent
to catch mistakes
before it’s too late ??? - We all make mistakes. Question is just whether we see them before we send out results. - Give example of ODS project when I kept having to redownload data and didn't know how I had merged it. - Code is just a written out version of your work process. Anyone should be able to read it and know what you did. --- class: inverse, dk-section-title, middle background-image: url("images/structure.jpg") ## Lesson #2
Think about the
structure of your data up front
to get better results on the back end ??? - Common for data scientists to complain about messy data - As evaluators, we have advantage of collecting data - Don't separate out data colletion and analysis stages in your planning - Do things like use validation in forms to ensure you get data you can use --- class: inverse, dk-section-title, middle background-image: url("images/automate.jpg") ## Lesson #3
Automate all the things!  ??? - If you know the structure of data, you can analyze it automatically - You can automate data cleaning, analysis, and reporting (i.e. not just reporting) - You can do this in Excel as well (give example of Reading Partners) - Give example of how I produced report automatically for webinar - You then have more time to think about what the data *means* --- class: inverse, dk-section-title, middle background-image: url("images/workflow.jpg") ## Lesson #4
R is a Workflow Tool ??? - Sharla's example - R isn't just for complex statistical analyses. RMarkdown can improve your workflow tremendously. --- class: center, middle ![](images/sharla-tweet-thread.gif) --- class: middle # Don't Just Work *in* your Data
Also Work *on* Your Data ??? - From e-myth book - Don't just analyze your data. Think also in meta ways about your data. --- class: middle # A Little Bit of Code Goes a Long Way -- > Learning R really doesn’t have to be about learning statistical models or advanced computation methods. I have a masters degree in Statistics and the most statistical thing I do these days is calculate a median. > Sharla Gelfand --- class: middle # R:
Inefficient at the Start
Waaaaaayyyy More Efficient With Time --- ![](index_files/figure-html/unnamed-chunk-2-1.png) ??? - Never Having to redo report with mistake in it: priceless - Learning how to code is not just about doing stats, it's also about workflow


The Matariki Road Trip Prints
by Linda GilbertThe Matariki Road Trip Prints
25 November 2019
New Zealand-based artist Linda Gilbert is releasing a series of small prints from paintings made during her 2019 ‘Matariki Road Trip’ - a solo, van-based art residency that took her to special places around the North Island of New Zealand.
Matariki is the Māori name for the cluster of stars also known as the Pleiades. It rises in mid-winter and heralds the start of a new year.
Linda travelled more than 4,500 kilometres in her campervan, gathering ideas for 25 gouache paintings that she created on the road.
These works reference not only a personal transition for the artist, but an enduring interest in “the environment, edges and equity”.
“This trip was about exploring the land, painting in a small space and challenging myself,” she says. “Winter is traditionally a time of introspection and this journey delivered, giving me the time and space to explore the ‘edges’, literally as well as metaphorically”.
Now, Linda is making 12 high-quality, A4 prints of her paintings - abstract biomorphic pops of colour that conjure memories of the landscape and places visited - available to everyone who shares her love of New Zealand.
These exciting new works are priced to reach a wide audience - $50.00 (NZ) unframed and $75.00 (NZ) for framed prints ready to hang. They will only be available from Linda’s website at www.lindagilbert.co.nz from 25 November 2019.
Linda has exhibited widely and in 2018 she completed a Bachelor of Visual Arts at AUT University in Auckland. This year she was a finalist in The Molly Morpeth Canaday Painting Awards and the Walker & Hall Art Awards.
To see Linda’s work visit:
www.lindagilbert.co.nz
Instagram: @Lindagilbertart
Facebook: Linda Gilbert Art


Mailing address
Department of
Biomedical Informatics
5230 Centre Avenue
Pittsburgh, PA 15232 |
|
Email :
Telephone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
|
| Rebecca
Crowley,MD,MS |
|
Principal Investigator |
|
|
| Olga
Medvedeva,MS,MS |
|
Lead System Architect |
|
|
| Eugene
Tseytlin,MS |
|
Systems Developer |
|
|
| Melissa Castine |
|
Knowledge Engineer |
|
|
| Elizabeth
Legowski |
|
Research Associate |
|
|
|
|


Wha?
When clicked, he will spout one of his random catchphrases.
Every ten seconds or so he will also spout a random catchphrase, just like the real Sarndeep.


Ned and the Bandits Ned led a band of bandits: Sam, Tom and Pip. Ned was the boss. They had a plan to rob the Bond Bank. Sam and Pip went with Ned. They had to stand outside, on the step. In went Ned, gun in hand.   The man in the bank, Mr Bog, went to the back. Ned sat with his hands on the desk. He still held the gun. Go to Book 2 to find out what happens next.
in-context


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{% extends 'base.html' %} {% block message %}
A password reset attempt requires further verification.
To reset your password, use this verification code.
Verification code: {{ body.code }}


You Can Install Stadia On Your PC As A Chrome App
Stadia plays in your Chrome browser when played on a PC but you can also install it as a Chrome app.
Right now, if you head to the Stadia website and you have a Stadia pro account, you'll be taken to the home page. There you can see your list of owned game titles and, play them if so you choose.
But if you wanted to play games through Stadia without opening Chrome itself, you can. You just have to install the Chrome app version of it first.
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To install the Chrome app, you need to open the Stadia web page first
You'll have to access Stadia from the Chrome web browser at least once if you want the Chrome app. That's because that seems to be the only way you can grab the Chrome app in the first place.
Once you open the Stadia web page simply direct your gaze to the address bar and look all the way to the right. Next to the star button which is used for bookmarking, there's a "+" button you can click.
If you hover over it it says "install Stadia." Once you click, this will bring up a prompt to confirm you want to install the Chrome app version of Stadia. Hit the install button and you're done.
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The app can now be accessed from your Start menu
If you've installed the Chrome app you can now easily access the service from your Start menu. It doesn't appear in the alphabetical list of installed apps since it's not actually a Windows app. It will however pop up in the "recently added" section at the very top.
Simply drag this launcher to the explore section just to the right and you'll always have it right there. You can of course create a Chrome shortcut to it directly as well and this will just launch Stadia in a Chrome tab.
Having it running as a Chrome app though will keep it in its own self-contained window. Instead of as a tab in the browser. Since the entirety of Chrome isn't running, you may also save on a little bit of RAM usage. Though this hasn't been tested.
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Overall, it simply makes for a nice quick way to access Stadia from the web. If you're eager to try Stadia for yourself and are curious about how it performs, be sure to check out our review to see what we thought.


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