Use of Inorganic Ion Exchangers for Hazardous Waste Remediation
EPA Grant Number: R828598C026Subproject: this is subproject number 026 , established and managed by the Center Director under grant R828598
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: Gulf Coast HSRC (Lamar)
Center Director: Ho, Tho C.
Title: Use of Inorganic Ion Exchangers for Hazardous Waste Remediation
Investigators: Clearfield, Abraham , Bortun, A. I.
Institution: Texas A & M University
EPA Project Officer: Lasat, Mitch
Project Period: September 1, 2000 through August 31, 2004
RFA: Gulf Coast Hazardous Substance Research Center (Lamar University) (1996) RFA Text | Recipients Lists
Research Category: Hazardous Waste/Remediation , Targeted Research
Objective:
Organic ion exchange resins find extensive use for the removal of toxic heavy metals such as lead, mercury, and chromium from a variety of industrial processes. They are finding increasing use for waste minimization and management. However, the commercially available resins are only partially effective or unusable in many situations, and new materials are required. We have chosen to examine three such situations (i) the removal of trace or low levels of cations from hot organic solvents, (ii) separation and recovery of Cr3+ from tannery waste, and (iii) recovery of precious metals from hostile environments such as nuclear waste streams. There exists a large array of inorganic compounds which possess ion exchange properties. We will utilize natural and synthetic micas, layered titanium and zirconium phosphates, both as gels and crystals, compounds with tunnel structures of the pharmocosiderite type and redox exchangers to accomplish our objectives.Organic resins are not stable in organic solvents at elevated temperatures. Thus, many solvents must be cooled and diluted with water in order to remove ions such as Cu2+, Ni2+, and Cr3+. These ions need to be removed in order to reuse the solvents and minimize waste disposal of these toxic solutions. The inorganic exchangers chosen are stable in hot organics, have high exchange capacities, and can be used without cooling or diluting the solvents. Tests will be run on solutions of benzyl alcohol and toluene to determine the most suitable inorganic exchangers, and then column experiments will be carried out with simulated industrial solutions of the metallic ions. Each year thousands of tons of valuable chromium hydroxide are discarded because the currently available organic resins are not selective enough to separate Cr3+ from Al3+, Fe3+ in the tanning solutions. Highly selective inorganic exchangers will be chosen and separations carried out on simulated tannery solutions.
Hundreds of millions of dollars of precious metals are often present in hostile environments (nuclear wastes) and in very dilute solutions. Their recovery will be facilitated by use of redox inorganic exchangers that exchange Pd2+, Rh2+, Ru2+ onto their surface and reduce them spontaneously to metal. All other ions are washed off, and then the metals are reoxidized and washed off the exchanger in pure form and recovered.
Our broader long range objective is to show that inorganic ion exchangers can solve a variety of waste management problems and work with an industrial partner (currently Allied Signal Corp.) to help commercialize the exchangers.
Supplemental Keywords:
RFA, Scientific Discipline, Toxics, INTERNATIONAL COOPERATION, Waste, Sustainable Industry/Business, cleaner production/pollution prevention, Remediation, Environmental Chemistry, Hazardous Waste, Hazardous, 33/50, Environmental Engineering, hazardous waste treatment, organic pollutants, industrial processes, chromium & chromium compounds, cleaner production, industrial waste, mercury, Toluene, waste minimization, waste reduction, waste stabilization, lead & lead compounds, industrial process, hazadous waste streams, nuclear waste streams, organic solvents , innovative technology, mercury & mercury compounds, waste management, waste streams, hazardous wate, tannery waste, redox exchangers, heavy metal contamination, industrial innovations, organic solvents, pollution prevention, contaminant removal, inorganic ion exchangers, green technology, heavy metalsMain Center Abstract and Reports:
R828598 Gulf Coast HSRC (Lamar) Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R822721C529 Environmentally Acceptable Endpoints: Risk Based Remediation Using Bioremediation
R822721C552 Degradative Solidification/Stabilization Technology for Chlorinated Hydrocarbons
R822721C569 Treatment and Product Recovery: Supercritical Water Oxidation of Nylon Monomer Manufacturing Waste
R822721C620 Colloidal Fouling of Membranes: Implications in the Treatment of Textile Dye Wastes and Water Reuse
R822721C626 Catalytic Hydroprocessing of Chlorinated Organics
R822721C627 The Interaction of Microbial Activity and Zero Valent Iron Permeable Barrier Technology
R822721C630 Microbial Cometabolism of Recalcitrant Chemicals in Contaminated Air Streams
R822721C633 Catalyst Lifetime Studies for Chlorocarbon Steam Reforming
R822721C635 Electrokinetic/Surfactant-Enhanced Remediation of Hydrophobic Pollutants in Low Permeability Subsurface Environments
R822721C636 Transformation Reactions of Nitroaromatic and Nitrogen Heterocyclic Compounds on Granular Activated Carbon (GAC) Surfaces: Enhancement of GAC Adsorption in Natural and Engineered Environmental Systems
R822721C640 Environmentally Friendly Organic Synthesis in Supercritical Fluids
R822721C645 Development and Evaluation of an Integrated Model to Facilitate Risk-Based Corrective Action at Superfund Sites
R822721C651 Adjustable Biopolymer Chelators for Cadmium, Lead and Mercury
R822721C653 New Electrochemically Smart Catalysts for Hazardous Waste Management and Development of Capillary Electrophoresis for Analysis of their Products
R822721C655 Soil Sampling in South Alabama Oil Fields
R822721C659 Subsurface Contamination Site Characterization via a Computer-Aided Visual Tool
R822721C661 New Insoluble supports for Protein Immobilization for Use in Metalloprotein Affinity Metal Chromatography
R822721C663 Soil Remediation with Ultra-High-Efficiency Hydrocyclones
R822721C669 Solid Acid Catalyzed Alkylation in Supercritical Fluids
R822721C679 Regeneration/Reactivation of Carbon Adsorbents by Radio Frequency (RF) Induction Heating
R822721C687 Improved Halogen Resistance of Catalytic Oxidation
R822721C696 Phytoremediation and Bioremediation of Land Contaminated By PAHs, PCBs, and TNT
R822721C697 Fundamental and Kinetic Investigation of Sorbent Technology for Optimum Mercury Emission Control
R822721C700 Effects of Natural and Cyclic Variations on Contaminant Fate and Transport
R822721C703 Enhancement of DNAPL Dissolution Rates by Dechlorinating Anaerobes
R826694C620 Colloidal Fouling of Membranes: Implications in the Treatment of Textile Dye Wastes and Water Reuse
R826694C625 Enhanced Treatment of DNAPLs Contaminated Soils and Groundwater Using Biosurfactants: In-Situ Bioremediation
R826694C626 Catalytic Hydroprocessing of Chlorinated Wastes
R826694C627 The Interaction of Microbial Activity and Zero Valent Iron Permeable Barrier Technology
R826694C629 Biofiltration of BTEX in Petroleum-Contaminated Soil Remediation Off-Gas
R826694C630 Microbial Cometabolism of Recalcitrant Chemicals in Contaminated Air Streams
R826694C633 Catalyst Lifetime Studies for Chlorocarbon Steam Reforming
R826694C635 Electrokinetic/Surfactant-Enhanced Remediation of Hydrophobic Pollutants in Low Permeability Subsurface Environments
R826694C636 Transformation Reactions of Nitroaromatic and Nitrogen Heterocyclic Compounds on Granular Activated Carbon (GAC) Surfaces: Enhancement of GAC Adsorption in Natural and Engineered Environmental Systems
R826694C640 Environmentally Friendly Organic Synthesis in Supercritical Fluids
R826694C645 Development and Evaluation of an Integrated Model to Facilitate Risk-Based Corrective Action at Superfund Sites
R826694C651 Adjustable Biopolymer Chelators for Cadmium, Lead, and Mercury Remeidation
R826694C659 Subsurface Contamination Site characterization Via a Computer-Aided Visual Tool
R826694C661 New Insoluble supports for Protein Immobilization for Use in Metalloprotein Affinity Metal Chromatography
R826694C669 Solid Acid Catalyzed Alkylation in Supercritical Reaction Media
R826694C679 Regeneration and Reactivation of Carbon Adsorbents by Radio Frequency Induction Heating
R826694C696 Phytoremediation and Bioremediation of Land Contaminated By PAHs, PCBs, and TNT
R826694C697 Fundamental and Kinetic Investigation of Sorbent Technology for Optimum Mercury Emission Control
R826694C700 Effects of Natural Cyclic Variations on Contaminated Fate and Transport
R826694C703 Enhancement of DNAPL Dissolution Rates by Dechlorinating Anaerobes
R826694C705 A Pilot Plant for Producing Mixed Ketones from Waste Biomass
R826694C722 The Effects of an Oily-Phase on VOC Emissions from Industrial Wastewater
R826694C724 Mercury Removal from Stack Gas by Aqueous Scrubbing
R826694C725 Transport, Fate and Risk Implications of Environmentally Acceptable Endpoint Decisions
R826694C731 Development and Application of a Real-Time Optical Sensor for Atmospheric Formaldehyde
R826694C734 An Advanced System for Pollution Prevention in Chemical Complexes
R828598C001 Field Study Abstract: A Model of Ambient Air Pollution in Southeast Texas Using Artificial Neural Network Technology
R828598C002 Hollow Fiber Membrane Bioreactors for Treating Water and Air Streams Contaminated with Chlorinated Solvents
R828598C003 Fugitive Emissions of Hazardous Air Pollutants from On-Site Industrial Sewers
R828598C004 Biofiltration Technology Development
R828598C005 A Risk-Based Decision Analysis Approach for Aquifers Contaminated with DNAPLs
R828598C006 In-Situ Remediation for Contaminated Soils Using Prefabricated Vertical Drains
R828598C007 Membrane Technology Selection System for the Metal Finishing Industry
R828598C008 Sequential Environments for Enhanced Bioremediation of Chlorinated Aliphatic Hydrocarbons
R828598C009 Waste Minimization in the Magnetic Tape Industry: Waterborne Coating Formulations for Magnetic Tape Manufacture
R828598C010 Soil Remediation by Agglomeration with Petroleum Coke
R828598C011 Recovery of Dilute Phosphoric Acid in Waste Streams Using Waste Gas Ammonia: The Regenerative MAP/DAP Process
R828598C012 Stochastic Risk Assessment for Bioremediation
R828598C013 Selective Removal of Heavy Metals from Wastewater by Chelation in Supercritical Fluids
R828598C014 Optimization of Treatment Technologies for Detoxification of PCB Contaminated Soils
R828598C015 Wastewater Remediation by Catalytic Wet Oxidation
R828598C016 Permanence of Metals Containment in Solidified and Stabilized Wastes
R828598C017 Combustion Enhancement by Radial Jet Reattachment - Low Generation of Hazardous Gases and High Thermal Efficiency
R828598C018 A Process To Convert Industrial Biosludge and Paper Fines to Mixed Alcohol Fuels
R828598C019 Homogeneous Catalysis in Supercritical Carbon Dioxide
R828598C020 Ultrasonic Enhancement of the Removal of Heavy Metals
R828598C021 The Binding Chemistry and Leaching Mechanisms of Advanced Solidification/Stabilization Systems for Hazardous Waste Management
R828598C022 Development of an Air-Stripping and UV/H2O2 Oxidation Integrated Process To Treat a Chloro-Hydrocarbon-Contaminated Ground Water
R828598C023 A Comparative Study of Siting Opposition in Two Counties
R828598C024 Sonochemical Treatment of Hazardous Organic Compounds II: Process Optimization and Pathway Studies
R828598C025 Laser Diagnostics of the Combustion Process within a Rotary Kiln Incinerator
R828598C026 Use of Inorganic Ion Exchangers for Hazardous Waste Remediation
R828598C027 Kaolinite Sorbent for the Removal of Heavy Metals from Incinerated Lubricating Oils
R828598C028 Destruction of Chlorinated Hydrocarbons in Process Streams Using Catalytic Steam Reforming
R828598C029 Integrated Process Treatment Train (Bioremediation {Aerobic/Anaerobic} and Immobilization) for Texas Soils Contaminated with Combined Hazardous Wastes
R828598C030 Photo-Oxidation by H2O2/VisUV of Off-Gas Atmospheric Emissions from Industrial and Environmental Remediation Sources
R828598C031 Concentrated Halide Extraction and Recovery of Lead from Soil
R828598C032 Biodegradable Surfactant for Underground Chlorinated Solvent Remediation
R828598C033 A Software Guidance System for Choosing Analytical Subsurface Fate and Transport Models Including a Library of Computer Solutions for the Analytical Models
R828598C034 Hydrodynamic Modeling of Leachate Recirculating Landfill
R828598C035 Measurement of Oxygen Transfer Rate in Soil Matrices
R828598C036 Sorbent Technology for Multipollutant Control During Fluidized Bed Incineration
R828598C037 Pollution Prevention by Process Modification Using On-Line Optimization
R828598C038 Pollution Prevention by Process Modification
R828598C039 Water Solubility and Henry's Law Constant
R828598C040 Transferring Technical Information on Hazardous Substance Research by Publishing on the World Wide Web
R828598C041 Stress Protein Responses to Multiple Metal Exposure in Grass Shrimp
R828598C042 Life-Cycle Environmental Costing for Managing Pollution Prevention in the Chemical and Petroleum Refining Industries: A Cross-Border Approach
R828598C687 Improved Halogen Resistance of Catalytic Oxidation Through Efficient Catalyst Testing
R828598C696 Phytoremediation and Bioremediation of Land Contaminated By PAHs, PCBs, and TNT
R828598C697 Fundamental and Kinetic Investigation of Sorbent Technology for Optimum Mercury Emission Control
R828598C700 Effects of Natural Cyclic Variations on Contaminated Fate and Transport
R828598C703 Enhancement of DNAPL Dissolution Rates by Dechlorinating Anaerobes
R828598C705 A Pilot Plant for Producing Mixed Ketones from Waste Biomass
R828598C722 The Effects of an Oily-Phase on VOC Emissions from Industrial Wastewater
R828598C724 Mercury Removal from Stack Gas by Aqueous Scrubbing
R828598C725 Transport, Fate and Risk Implications of Environmentally Acceptable Endpoint Decisions
R828598C731 Development and Application of a Real Time Optical Sensor for Atmospheric Formaldehyde
R828598C734 An Advanced System for Pollution Prevention in Chemical Complexes
R828598C743 Field Demonstration of Ultrasound Enhancement of Permeable Treatment Walls
R828598C744 Optical Fibers Coated With Titania Membrane/UV-Generating Crystal in a Distributed-Light Photoreactor for VOC Oxidation
R828598C749 Characterization and Modeling of Indoor Particulate Contaminants In a Heavily Industrialized Community
R828598C753 Adsolubilization and Photocatalysis in a Semiconducting Monolithic Reactor for Wastewater Treatment
R828598C754 Remote Detection of Gas Emissions in Industrial Processes
R828598C759 Searching for Optimum Composition of Phosphogypsum: Fly ash: Cement Composites for Oyster Culch Materials
R828598C761 Development of a Phytologically-Based Biosorptive Water Treatment Process
R828598C766 Chlorinated Solvent Impact and Remediation Strategies for the Dry Cleaning Industry
R828598C769 Soil/Sediment Remediation by Hot Water Extraction Combined with In-Situ Wet Oxidation
R828598C771 Fluoracrylate Polymer Supported Ligands as Catalysts for Environmentally Benign Synthesis in Supercritical Fluids
R828598C774 The Feasibility of Electrophoretic Repair of Impoundment Leaks
R828598C777 Surfactant Enhanced Photo-oxidation of Wastewaters
R828598C778 Stationary Power Generation Via Solid Oxide Fuel Cells: A Response to Pollution and Global Warming
R828598C786 Photocatalytic Recovery of Sulfur and Hydrogen From Hydrogen Sulfide
R828598C787 Biosurfactant Produced from Used Vegetable Oil for removal of Metals From Wastewaters and Soils
R828598C789 Genetic Engineering of Enzymatic Cyanide Clearance
R828598C791 Characterizing the Intrinsic Remediation of MTBE at Field Sites
R828598C799 Simultaneous Water Conservation/Recycling/Reuse and Waste Reduction in Semiconductor Manufacturing
R828598C801 Building Defined Mixed Cultures To Biodegrade Diverse Mixtures Of Chlorinated Solvents
R828598C802 Engineering of Nanocrystal Based Catalytic Materials for Hydroprocessing of Halogenated Organics
R828598C807 Commercial Demonstration of Hydrogen Peroxide Injection to Control NOx Emissions from Combustion Sources
R828598C809 Evaluating Source Grouting and ORC for Remediating MTBE Sites
R828598C810 Application of Total Cost Assessment To Process Design In the Chemical Industry
R828598C846 Quantitative Demonstration of Source-Zone Bioremediation in A Field-Scale Experimental Controlled Release System


An innovative twist on the classic Tom Collins. Aromatic fresh lemon juice, homemade classic syrup, club soda, and the finest house gin mix together for this ageless classic.
A citrus-y 19th century cooler, this drink features fresh lemon wedges, home-cut basil leaves, and homemade classic syrup. Then, a splash of house bourbon is introduced for the playful, Nintendo-esque edge.
Future SpaceX Martian test subject, Rishi Bhuta, gives us his take in the ephemeral creation that is the Gin Fizz. Club soda, gin, fresh-from-the-bottle lemonade, simple syrup, and one egg white combine for an unconventional classic.
Award winning and a mixologist, Adithya Ramanathan brings his effervescent rendition of a gimlet to the pink and yellow house of Judson. Portions of lemonade, hand-squeezed lime juice, fresh basil, cucumber precisely cut into .25” slices, and vodka.


PuzzleBox is made with inexpensive Arduino microcontrolers, basic electronics, and 3D printed parts, giving you the most features at a low price. Faces are swappable too, meaning you can make or buy your own custom faces for puzzles. Did you break something? No problem, it's easily replacable.
Tired of the puzzles that came with the PuzzleBox? Make your own puzzles with our handy online tool. Design and test your puzzles, then download them to your PuzzleBox. And the best part: No programming skill required.
If you need an easy way to share your custom puzzles with the world, look no further. Access our puzzle repository to share your puzzles and recieve feedback, as well as download and play other creator's puzzles.
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Real Randomizer
Because Spotify doesn't do a good job
Show/Hide explanationThis is a quick application that utilizes the Spotify Web API to shuffle your playlists properly, as God intended. The shuffle feature on Spotify only shuffles about 50 or so songs and then resamples, which leads to annoying repeats in long playlists and should be changed. This is my way of fixing the problem.
Once logged in, you can choose a playlist from the dropdown box to the right. The application will load the playlist's tracks into a table, for your viewing pleasure. Clicking the headers will first sort ascending, then descending, then restore the original sort order. Clicking "Sort Randomly" will shuffle the entire list completely randomly.
Clicking "Make Playlist" will take this list, and its order; and produce a new, private playlist named "Real Randomizer Playlist". It will overwrite the first playlist with this name, to prevent spamming. Once its done, you can click the shiny new "View Playlist" to open this playlist in Spotify.
Your new playlist is meant to be enjoyed without the in-built shuffle feature, and has all the same tracks as the original. It does not, in any way, modify the original playlist; so you can shuffle public, collaborative and even followed playlists properly. To reshuffle, just come back here and go through the same process: it'll go into the same "Real Randomizer Playlist".
Login with Spotify
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It was New Years Eve. I was over at my girlfriend's brother's house to celebrate the end of the passing year and the coming of the next one. I am a college student and have been a consistant drinker for the past couple of years. I can handle my alcohol very well. I have also smoked weed a total of about 15 times, mainly over the course of last summer and handled it pretty well although I was not a huge fan of it, it did take me to a level way beyond I could reach with alcohol. I had mixed the two on a couple of occasions with successful results. Weed gave me a sort of mind drunkness while beer gave me a body drunkness.
Things were completely different this night. I had put back about 9 or 10 beers and it was alittle past the new year. I was pretty buzzed but not drunk. D and J, two of my friends who were over decided to smoke weed with my girlfriends brother and some of his friends. My girlfriend's brother and his friends were all heavy weed smokers and presumably had some very strong stuff if it got even _them_ high.
I decided to watch but as the bong was passed to me I decided, 'What the hell?', and took not even a whole bong load, although it was a 2 foot bong. I then decided to walk downstairs and see what everyone's up to. I saw two people who were playing cards who were pretty messed up and just sat down and watched them. Almost instantly, probably no more than 3 minutes after taking the drag I began to get my tell tale sign of being high, objects seemed like they had a strobe light turned on them. When movements occured I would only see 1 second then it would appear in a different place. I also was starting to get angry of how these people were playing their game. They were playing High/Low and I easily know how to play it but it wasn't making sense and began to confuse me.
I decided I better find a place to chill to ride this one out because this is going to be a strong one. I then started watching someone play a video game and loved it. Sitting there feeling all perfect and watching this interesting game were all I could ask for. Then the problems began. My friend J came to me and said I should check out D, he's acting hilarious.
I followed J back upstairs to where we smoked and reality began to dissolve. When I got up there D, who I was very close to, was staring into the corner of the room just naming off random colors not responding to anyone. This completely freaked me out. What freaked me out more was that I saw him go completely white as if scared to death, turn to me, and tell me he needed help. I had no question this happened and knew I needed to act on it. This of course did not happen, it was a hallucination but I didn't think my one hit could give a hallucination. I didn't even think weed in general gave full out hallucinations.
I told J that D needed help. I just turned and began walking downstairs as if in a dream. About this time I was pretty sure this was a dream. I figured I must have passed out while watching the video game. I then thought, 'Well, the dream wants me to get some help so get some help I will.' I wandered to the phone and called 911. Somehow I managed to convey the message that we needed an ambulance for D because he was sick. J is just standing there confused and possibly cheering me on, laughing like it's his job, tossing in the occassional 'Oh man, this is not good.'
The operator then asked me where I was. I didn't know the address or the developement so I began to tell them the directions from my house. All of this made perfect sense at the time. My girlfriend then walked up to me and demanding to know what I was doing. I told her D needed 'emergency response.' She realized what I said and began freaking out.
She hung up the phone and told her brother, the owner. He began cleaning all the beer cans up in expectation of the cops coming since there were many underage drinkers.
I then began to realize that this was real and not a dream. This scared me even more because if I was this messed up off 1/2 a hit, and D and J both took many hits then they must be so much more messed up than me. D soon passed and they convinced me he was ok. We then had to hide in the bedroom in case the cops came. My girlfriend stayed with me for a little bit and everything seemed all right but when she left to check on D, I began panicing. I closed my eyes and began seeing all kinds of colors and felt as if I was spining backwards.
I opened my eyes and watched the two other people in the room for a brief time. Their conversation seemed to not make any sense at all and time seemed to slow down to a halt. I also heard what they said over and over again in my head. I seemed to go from moments of no interal dialogue to over-analyzing everything.
After the cop problem was solved and we figured they weren't coming everyone began to head off to sleep. I was still unbelievably high. Because of the time when my girlfriend left, I would not let my girlfriend leave. She is very understanding and loving so she stuck with me. I was afraid time would slip back into a halt and I would go completely nuts if she left so I actually felt like I had to hold on to her. I held onto her for about 3 hours before falling asleep.
The next morning I was still alittle confused, life seemed kind of unreal and unimportant. I also felt there was more that we weren't seeing. About night time the next day I began to feel normal. This was a terrible experience and completely turned me off pot and all other drugs execpt alcohol. I felt so powerless and had no control over what I was doing and would never want to feel that way again. The only plus to this experience was a closer feeling to my girlfriend who I saw in a time of panic.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


A Note About Outages
Implementing PSQL's VACUUM Functionality to Manage Disk Space
Every fifteen minutes, my crawler runs and counts the words used in the top comments on a few subreddits. Each crawler run adds thousands of rows to my PSQL database. I only store one year of data for each of the subreddits that I track, so each crawler run also deletes thousands of rows from my PSQL database. The data that is older than that is purged via a database cleanup script tied to the crawler. I figured that this system would exist in equilibrium - an amount of data coming in and an equal amount being removed. This was not the case.
In fact, in normal operation, a DELETE operation in a PSQL database does not truly delete the record. The record exists, hidden, and linked to a transaction referred to as an UNDO. An UPDATE operation, which actually performs a DELETE followed by an INSERT, functions in a similar manner. These leftover records accumulated in my system for months. These leftover records are referred to as 'dead tuples' or 'bloat.' The result, on my t2.micro EC2 instance with 16Gb of storage space, is as follows:
I ran out of disk space and my crawler stopped working. Twice! The first outage was in early February, just after the 2020 Superbowl. I collected a few milion Tweets from the game and hit the disk space wall. I didn't notice that the crawler was not operational for a few weeks. When I did, I backed out the Tweets, cleaned up some old packages I wasn't using anymore, and away I went.
The second outage lasted a bit longer. My life was in complete limbo as I moved between Querétaro, Portland, and Poulsbo and the Coronavirus swept across the nation and world. Or at least that is my excuse for not fixing my crawler for a few months.
This outage was a bit more challenging to resolve. My EC2 instance was at 100% disk capacity, only a few bytes were free. I couldn't connect to the database instance. So I first had to remove the site files, Python packages, and log files to enter the PSQL database. This freed up enough space to allow me to run a VACUUM operation.
There are two varieties of VACUUM operation- VACUUM and VACUUM FULL. VACUUM removes the dead tuples from the database and marks the freed up space to be used for future operations, but does not reclaim the disk space. VACUUM is a non-blocking operation. In other words, the site and database can be used while the process is ongoing. VACUUM FULL removes the dead tuples and allows the disk to reclaim the space. It is a blocking operation - you can not read or write to a table while VACUUM FULL is in progress.
The next figures demonstrate the available disk space before and after a VACUUM FULL.
The constant writes, deletes, and updates generated by a crawler like this create a lot of database bloat. I did not fully appreciate this aspect of database management when I deployed the application. In response to these problems, I now run a weekly VACUUM and have a scheduled montlhy maintenance window where I drop the site, run a VACUUM FULL, and rebuild database indexes.
This has kept the disk space usage well under control. You may also have noticed in the images above that I have sprung for an additional 16Gb of space on my EC2 instance. My monthly hosting cost rose by $4! What can I say, I'm a big spender.
If you would like to learn more, you can find PSQL's VACUUM documentation here. I also found Avinash Vallarapu's excellent article Understanding of Bloat and VACUUM in PostgreSQL very helpful while working to resolve this issue.


§261-24 John Rodgers Terminal. When a new transpacific terminal building is constructed, it shall be designated "John Rodgers Terminal" in memory of the late Commander John Rodgers, United States Navy, who made the first flight in a Navy flying boat to these islands in September, 1925. [L 1947, c 31, §2; RL 1955, §15-28; HRS §261-24]


| Module | ActionView::LookupContext::ViewPaths |
| In: |
/usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb
|
| view_paths | [R] |
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb, line 88 88: def exists?(name, prefix = nil, partial = false) 89: @view_paths.exists?(*args_for_lookup(name, prefix, partial)) 90: end
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb, line 79 79: def find(name, prefix = nil, partial = false) 80: @view_paths.find(*args_for_lookup(name, prefix, partial)) 81: end
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb, line 84 84: def find_all(name, prefix = nil, partial = false) 85: @view_paths.find_all(*args_for_lookup(name, prefix, partial)) 86: end
Whenever setting view paths, makes a copy so we can manipulate then in instance objects as we wish.
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb, line 75 75: def view_paths=(paths) 76: @view_paths = ActionView::Base.process_view_paths(paths) 77: end
Add fallbacks to the view paths. Useful in cases you are rendering a :file.
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/lookup_context.rb, line 94 94: def with_fallbacks 95: added_resolvers = 0 96: self.class.fallbacks.each do |resolver| 97: next if view_paths.include?(resolver) 98: view_paths.push(resolver) 99: added_resolvers += 1 100: end 101: yield 102: ensure 103: added_resolvers.times { view_paths.pop } 104: end


Proposed an interpretable neural network-based model for knowledge tracing. Defined an alternative representation of knowledge state, and skills, or knowledge component. Achieved the SOTA prediction accuracy and provided an alternative approach for skill domain analysis.
Validated a number of collaborative filtering algorithms against the term-grade data of undergraduate students at HKUST.
Deployed a precipitation nowcasting system on the server side based on the convolutional long short-term memory (ConvLSTM) model.
Predicted trends, performed classification and clustering with the historical data of crude oil.


We aggregate users!
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- incentivize efficient schemas
- e-enable virtual metrics


Silahkan input angka range akhir, angka range awal, angka tebakan anda (opsional)
dan kami akan memberikan anda random number. (Angka inputan lebih besar sama dengan 1)
Interested in LIFF App? Click Here for more information.
You have not assigned any value for LIFF ID.
If you are running the app using Node.js, please set the LIFF ID as an environment variable in your Heroku account following the below steps:
- Go to `Dashboard` in your Heroku account.
- Click on the app you just created.
- Click on `Settings` and toggle `Reveal Config Vars`.
- Set `MY_LIFF_ID` as the key and the LIFF ID as the value.
- Your app should be up and running. Enter the URL of your app in a web browser.
If you are using any other platform, please add your LIFF ID in the index.html
file.
For more information about how to add your LIFF ID, see Initializing the LIFF app.
Something went wrong with LIFF initialization.
LIFF initialization can fail if a user clicks "Cancel" on the "Grant permission" screen, or if an error occurs in the process of liff.init()
.
Unable to receive the LIFF ID as an environment variable.


Montana Super Prestige Cyclocross Season
All races start at 10:00 am unless noted otherwise.
Sept. 29 (Sat)
clinic Cross Clinic, Mcormick Park, Missoula, 9-10:30 AM, Jamul Hahn
Oct 6 (Sat) Race #1 Pattee Canyon,Missoula, Northern Rockies, Dan Dahlberg,<PHONE_NUMBER>),
Also a Cross Country Running Race, Team Stampede, Charlie Beaton<EMAIL_ADDRESS>Oct 7 (Sun) 25th Annual Western Montana Hillclimb Championships, Missoula, Greg Siple,(406-542-2607) www.missoulabike.org, 4 miles, 840 vert.
Oct 13 (Sat) Race #2 Bozeman, MSU, (Lindley Park) Jim Rucker<EMAIL_ADDRESS>Oct 21 (Sun) Race #3 Cox Lake, Helena, Montana Velo, Geoff Proctor<EMAIL_ADDRESS>Oct 28 (Sun.) Race #4 Fort Missoula, Missoula, Five Valley Velo, John Weyhrich<EMAIL_ADDRESS>Also a Collegiate Event, UofM Cycling, Mark Legg<EMAIL_ADDRESS>Also a Cross Country Running Race, Team Stampede, Charlie Beaton<EMAIL_ADDRESS>Nov 5 (Sun) Race #5 (12 noon race start) Herron Park, Kalispell, Steve Muller<EMAIL_ADDRESS>Nov.10 (Sat) Race #6 River Ranch, Hamilton, Five Valley Velo, Jeff Crouch<EMAIL_ADDRESS>Also a Cross Country Running Race, Team Stampede, Charlie Beaton<EMAIL_ADDRESS>Nov 19 (Sun) Race #7 STATE CHAMPS, Helena High, Helena, MT Velo, Geoff Proctor (CrossSportif@aol.com)


|
Elektra
0.8.26
|
The kdb tool allows users to access and perform functions on the Elektra Key Database from the command line. We added a new command to this very useful tool, the merge
command. This command allows a user to perform a three-way merge of KeySets from the kdb
tool.
The command to use this tool is:
The standard naming scheme for a three-way merge consists of ours
, theirs
, and base
:
ours
refers to the local copy of a filetheirs
refers to a remote copybase
refers to their common ancestor.This works very similarly for KeySets, especially ones that consist of mounted configuration files.
For mounted configuration files:
ours
should be the user's copytheirs
would be the maintainers copy,base
would be the previous version of the maintainer's copy.If the user is just trying to accomplish a three-way merge using any two arbitrary keysets that share a base, it doesn't matter which ones are defined as ours
or theirs
as long as they use the correct base KeySet. In kdb merge
, ourpath
, theirpath
, and basepath
work just like ours
, theirs
, and base
except each one represents the root of a KeySet. The argument resultpath
is pretty self-explanatory, it is just where you want the result of the merge to be saved under. It's worth noting, resultpath
should be empty before attempting a merge, otherwise there can be unintended consequences.
As for the options, there are a few basic options:
-i
, --interactive
: which attempts the merge in an interactive way-t
, --test
: which tests the proposed merge and informs you about possible conflicts-f
, --force
: which overwrites any Keys in resultpath
Additionally there is an option to specify a merge strategy, which is very important.
The option for strategy is:
-s <name>
, --strategy <name>
: which is used to specify a strategy to use in case of a conflictThe current list of strategies are:
preserve
: the merge will fail if a conflict is detectedours
: the merge will use our version during a conflicttheirs
: the merge will use their version during a conflictbase
: the merge will use the base version during a conflictIf no strategy is specified, the merge will default to the preserve strategy as to not risk making the wrong decision. If any of the other strategies are specified, when a conflict is detected, merge will use the Key specified by the strategy (ours
, theirs
, or base
) for the resulting Key.
Basic Usage:
Here are examples of the same KeySets being merged using different strategies. The KeySets are mounted using a property format, the left side of '=' is the name of the Key, the right side is its string value.
We start with the base KeySet, system/base
:
key1=1 key2=2 key3=3 key4=4 key5=5
Here is our KeySet, system/ours
:
key1=apple key2=2 key3=3 key5=fish
Here is their KeySet, system/theirs
:
key1=1 key2=pie key4=banana key5=5
Now we will examine the result KeySet with the different strategies.
The merge will fail because of a conflict for key4
since key4
was deleted in our KeySet and edited in their KeySet. Since we used preserve, the merge fails and the result KeySet is not saved.
The result KeySet, system/result will be:
key1=apple key2=pie key5=fish
Because the conflict of key4
(it was deleted in ours
but changed in theirs
) is solved by using our copy thus deleting the key.
The result KeySet, system/result
will be:
key1=apple key2=pie key4=banana key5=fish
Here, the conflict of key4
is solved by using their copy, thus key4=banana
.
The result KeySet, system/result
will be:
key1=apple key2=pie key4=4 key5=5
The same conflict is found in key4
, but here we use the base
version to solve it so key4=4
.


{% extends "base.html" %} {% block content %}
Click here to log out. Click here to add a partner organization. Click here to add a student. Click here to add a faculty member. Click here to add a course. Click here to go to site administration.{% endblock %}


--- layout: default_style permalink: /scouting ---
Provide targeted & high-quality reports & leverage our domain expertise. Precise valuation & damages analysis based on comprehensive market research.
Target ScoutingWe provide targeted and high-quality reports and leverage our domain expertise to deliver a tailored report based on your budget and requirements.
We conduct exhaustive searches to identify potential monetization opportunities for your IP assets. Our target scouting reports generally include an overview of the potentially infringing products, brief patent-product map summaries based on the infringement theory, an estimation of royalties/damages and relevant industry insights. Customizable based on your main requirements.


Basics
Linking Stylesheets
External Stylesheets: <link href="css/styles.css" type="text/css" rel="stylesheet"/>
Selectors
| SELECTOR | MEANING | CSS EXAMPLE | HTML SYNTAX |
|---|---|---|---|
| UNIVERSAL | Applies to all elements in the document | * {} | n/a |
| TYPE | Matches element names | h1, h2, h3 {} |
,
,
 |
| CLASS | Matches an element whose class attribute has a value that matches the one specified after the period (or full stop) symbol | .value {} OR p.value {} |
 |
| ID | Matches an element whose id attribute has a value that matches the one specified after the pound or hash symbol | #value {} |
 |
| CHILD | Matches an element that is a direct child of another | li>a {} |
,
,
 |
| DESCENDANT | Matches an element that is a descendent of another specified element (not just a direct child of that element) | p a {} |

 |
| ADJACENT SIBLING | Matches an element that is the next sibling of another | h1+p | |
| GENERAL SIBLING | Matches an element that is a sibling of another, although it does not have to be the directly preceding element | h1~p |


--- layout: post title: "My Week in Review" date: 2016-02-14 10:35:00 +0000 tags: image: https://s3.amazonaws.com/audreywatters/2016-02-16-horse.jpg imagecredits: https://www.flickr.com/photos/cone_dmn/5656445995 ---
Image credits: The Noun Project


I can't decide
30 votes on 14 ideas
I like both ideas
I think both ideas are the same
I don't know enough about either idea
I don't like either idea
I don't know enough about: Improve the long-term sustainability of lunch time serviette use and reduce the amount of food waste in all of the on-site campus kitchens.
I don't know enough about: Motion-sensor lights in the bathroom
I just can't decide


climate change forest impacts Canadian respondents ecosystems survey sector adaptation perceptions Climate Forest {border-style practices Sciences awareness px;} risk significant #ffffff;} management provinces Canada Fig need stakeholder perception province change, current geographical education environment predictors variables Writing data forestry impact managers results study Change adapt differences effects institutional potential responses type view based forests general industry observed predictor used Research Table changes classification future high importance level likely political threat variable Clim Ecology [], agreed analysis groups identified individual main policy proportion px; sample sector. statement {font-family Adaptation New Québec Random Section Williamson adaptive anthropogenic associated causes conditional considered currently design economic font-size global implementing inference origin original perceived recent sector, split stakeholders strongly studies trees using years ./s--- British Conceptualization Conditional File). Hanewinkel However, Natural Survey acceptance account cause change. conducted des direct double; draft ecosystems, editing factors higher important individuals influence new obtained response review scale shown suggest time tree understand vs. willingness Available: Biology Brunswick Canada. Environmental File Forestry Formal Life Perceptions Policy Professional Québec, Resources Respondents University best border-color border-width concerned consequences dataset degree different explanatory extreme greater highly increase legislation opinion overall p-value population practices. provincial public regression related research similar size skeptical solid; statement, statements understood use values {font-style {font-weight "strongly (PDF) (i.e. ./nclimate Alberta, Canada, Canada’s Chang. Change. Click Columbia Council Ecology: Edmonton, Environ File. Forests Forests. Government, Human LINK Likert Methodology Moreover, N.A. Nat ON: Overall, Public States Supervision United [Internet]. ability able according accuracy additional age, agree, beliefs bold boreal calculated campaigns change: characteristics comprehensive contacted courier; designing disagree, disagreed distribution em; existence exposure face file. framework function going having identify indicate key lower multiple node opinions particularly positions possible pt;} random relationship relative report role science sections strategic terminal unsure variables, views


Some 200 People Protest Near White House Amid Ongoing Trump-Erdogan Meeting - Videos
WASHINGTON (Sputnik) - Several hundred people have gathered outside the White House in protest of the visit of Turkish President Recep Tayyip Erdogan to the United States to meet with US President Donald Trump.
The protesters are holding Kurdish, Armenian and US flags and are shouting slogans critical of Turkey.
Some are carrying banners that say "Erdogan is Not Welcome", "Recognize Genocide", "Out of Rojava" and "We Support Our Friends - the Kurds".
The protest is peaceful and there is no increased police presence in the area.
Erdogan and Trump are expected to discuss the situation in Syria, the Russia-supplied S-400 air defence systems to Turkey and the F-35 fighter jet programme, among other issues.
Last week, the two leaders confirmed over the phone the meeting will take place given that Erdogan’s trip was uncertain amid growing tensions between Turkey and the United States following the Turkish military offensive in northeast Syria last month.
Turkey's purchase of S-400 air defence systems, US congressional resolutions on the Armenian genocide and sanctions against Ankara have also contributed to the escalation in tensions between the two countries.


A cafe located in the heart of Manuka
Pâtissez is a new cafe in Manuka founded by [name]
Come to our store
We Make Cakes!
Email us with any buisness Enquiries
What did you think?
Find out whats new


{% extends "base_generic.html" %} {% block content %} {% load static %}
I am a novice programmer, currently working in data related field.
I am interesting in learning programming and data science related stuff.
Currently I am trying to develop an image classifier with CNN.


Your User Profile
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Limited availability
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On sale!
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We're sorry but Pure Paradise v2 doesn't work properly without JavaScript enabled. Please enable it to continue.
Unfortunately the game is incompatible with your screen size.


The source code for this front-end application can be found at: https://github.com/stbeyer/notary
The source code of the actual smart contract is fairly simple:


St. Mark's square becomes a lake as flood season begins in Venice
Italy has been hit by heavy rainfall over the past days and levels in the lagoon city rose to 125 cm with around 15 percent of the city flooded.
Raised wooden walkways are in position in the piazzas for tourists and locals to use in order to go about their business and keep relatively dry.
"Venice is a very beautiful city, and it becomes a very special place when the water level is high," said Venetian resident Marco Zamunan.
"But apart from the beauty which this phenomenon gives to the city there are also problems," he added.
Many houses are flooded during the season that often brings high water levels to the town. Moving around becomes much more complicated with shop deliveries and food supplies difficult to organise.


White to play 63
pips White=178 Black=159
(CorrectAnswer= 0/0, ErrorScore= 0)
1. Bar/22 24/18 eq: -0.2706 43.32% (G:10.48% B:0.42%) 56.68% (G:15.98% B:0.72%) 2. Bar/22 13/7 eq: -0.3014 (-0.0308) 42.57% (G:11.18% B:0.39%) 57.43% (G:16.78% B:0.90%) 3. Bar/16 eq: -0.3088 (-0.0382) 42.55% (G:10.23% B:0.37%) 57.45% (G:16.00% B:0.75%) 4. Bar/22 8/2 eq: -0.3986 (-0.1280) 40.03% (G:10.17% B:0.34%) 59.97% (G:18.54% B:1.16%)


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Sara
Manager
- ID: 1
- Email<EMAIL_ADDRESS>- Office Number: 1
Wyatt
Engineer
- ID: 2
- Email<EMAIL_ADDRESS>- Github: wyattbulb
Lloyd
Engineer
- ID: 3
- Email<EMAIL_ADDRESS>- Github: dankfrank
Susan
Engineer
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- Email<EMAIL_ADDRESS>- Github: sux
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Intern
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- Email<EMAIL_ADDRESS>- School: UCLA
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Lecture by S. Clesse, invited by the MaPhyl ASBL (association of alumini
students of the UCL in Mathematics and Physics).
More …
Public lecture by S. Clesse, organized by the Kot Astro of the UCLouvain.
More …
From March 19th to 25th, Sébastien took part to the Printemps des
Sciences
event, an entire week dedicated to science outreach for children and
youths in Belgium. Two activities were proposed.
More …
S. Clesse presented in Modave, Belgium, a public lecture entitled (in
French) Trous noirs, Big-Bang et Univers: voyage aux frontières du
savoir !, for an intership in amateur astronomy.
Together with a collaborator from UAM-IFT (Madrid), Juan
Garcia-Bellido, we have recently published an article in the French
science outreach magazine Pour la Science, entitled Matière noire:
la piste des trous noirs. This article is available
here.
For the original English version, published in the Scientific
American, see
here.
More …


healthcareai provides a clean interface to create and compare multiple models on your data and then deploy the model that is most accurate. healthcareai also includes functions for data exploration, data cleaning, and model evaluation.
This is done in a three-step process: First, loading, profiling, and feature engineering. Second, developing a model. Third, deploying and monitoring the model.
Load and profile data
Loading Data:
Use selectData
to pull data directly from a SQL
database
Profiling and Analyzing Data - One can get quite far in healthcare data analysis without ever going beyond this step:
featureAvailabilityProfiler
will find how much data is
present in each variable over time.
countMissingData
finds the proportion of missing data in
each variable.
findVariation
and variationAcrossGroups
are
used to find variation across/between subgroups of data.
findTrends
finds trends that are six months or longer.
RiskAdjustedComparisons
compares groups in a risk
adjusted fashion. See
RiskAdjustement
for a general introduction.
calculateTargetedCorrelations
will calculate correlations
for all numeric columns and a specified variable of interest.
returnColsWithMoreThanFiftyCategories
shows which
categorical columns have more than 50 categories.
KmeansClustering
used to cluster data with or without an
outcome variable
Feature Engineering:
convertDateTimeColToDummies
will convert a date variable
into dummy columns of day, hour, etc. For seasonal pattern modeling.
countDaysSinceFirstDate
shows days since first day in
input column.
groupedLOCF
carries last observed value forward. This is
an imputation method for longitudinal data.
Develop a machine learning model
Models:
LassoDevelopment
: Used for regression or classification
and does an especially good job with a lot of variables.
RandomForestDevelopment
: Used for regression or
classification and is well suited to non-linear data.
XGBoostDevelopment
: Used for multi-class classification
(problems where there are more than 2 classes). Well suited to non-linear
data.
LinearMixedModelDevelopment
: Best suited for longitudinal
data and datasets with less than 100k rows and 50 variables. Can do
classification or regression.
Performance of Trained Models:
Area under the ROC curve or area under the precision-recall curve are used to evaluate the performance of classification models.
The mean squared error (MSE) and root mean squared error (RMSE) are used to evaluate the performance of regression problems.
Deploy and Monitor the Machine Learning Model
Deploy the Model:
Use LassoDeployment
,
LinearMixedModelDeployment
,
RandomForestDeployment
, or XGBoostDeployment
to
load the model from development and predict against test data. The
deployments can be tested locally, but eventually live on the production
server.
Use writeData
to push the predicted values into a SQL
environment.
Monitoring the model:
generateAUC
is used to monitor performance over time.
This should happen after the predictions can be validated with the result. If
you're predicting 30-day readmissions, you can't validate until 30 days have
passed since the predictions.


currentId: {{id$|async}}
text: {{text}}
currentQid: {{qid$|async}}
WASHINGTON— President Trump loves to set the day’s narrative at dawn, but the deeper story of his White House is best told at night.
Aides confer in the dark because they cannot figure out how to operate the light switches in the cabinet room. Visitors conclude their meetings and then wander around, testing doorknobs until finding one that leads to an exit. In a darkened, mostly empty West Wing, Mr. Trump’s provocative chief strategist, Stephen K. Bannon, finishes another 16-hour day planning new lines of attack.
Usually around 6:30 p.m., or sometimes later, Mr. Trump retires upstairs to the residence to recharge, vent and intermittently use Twitter. With his wife, Melania, and young son, Barron, staying in New York, he is almost always by himself, sometimes in the protective presence of his imposing longtime aide and former security chief, Keith Schiller. When Mr. Trump is not watching television in his bathrobe or on his phone reaching out to old campaign hands and advisers, he will sometimes set off to explore the unfamiliar surroundings of his new home.
During his first two dizzying weeks in office, Mr. Trump, an outsider president working with a surprisingly small crew of no more than a half-dozen empowered aides with virtually no familiarity with the workings of the White House or federal government, sent shock waves at home and overseas with a succession of executive orders designed to fulfill campaign promises and taunt foreign leaders.
Continue reading the main story RELATED COVERAGE
Where Trump’s Travel Ban Stands FEB. 5, 2017
Trump Clashes Early With Courts, Portending Years of Legal Battles FEB. 5, 2017 RECENT COMMENTS
Hari Seldon 4 minutes ago Hey Glen Thrush and Maggie Haberman, there are a lot of rather odd details in this article. Like Mr. Trump's night time prowls about the... Cracka 4 minutes ago "Mr. Bannon remains the president’s dominant adviser, despite Mr. Trump’s anger that he was not fully briefed on details of the executive... pkbormes 4 minutes ago So essentially SNL got it right when it presented Bannon as the Grim Reaper (with Death's big desk to Trump's little boy desk). SEE ALL COMMENTS WRITE A COMMENT “We are moving big and we are moving fast,” Mr. Bannon said, when asked about the upheaval of the first two weeks. “We didn’t come here to do small things.”
But one thing has become apparent to both his allies and his opponents: When it comes to governing, speed does not always guarantee success.
The bungled rollout of his executive order barring immigrants from seven predominantly Muslim countries, a flurry of other miscues and embarrassments, and an approval rating lower than that of any comparable first-term president in the history of polling have Mr. Trump and his top staff rethinking an improvisational approach to governing that mirrors his chaotic presidential campaign, administration officials and Trump insiders said.
This account of the early days of the Trump White House is based on interviews with dozens of government officials, congressional aides, former staff members and other observers of the new administration, many of whom requested anonymity. At the center of the story, according to these sources, is a president determined to go big but increasingly frustrated by the efforts of his small team to contain the backlash.
“What are we going to do about this?” Mr. Trump pointedly asked an aide last week, a period of turmoil briefly interrupted by the successful rollout of his Supreme Court selection, Judge Neil M. Gorsuch.
Chris Ruddy, the chief executive of Newsmax Media and an old friend of the president’s, said: “I think, in his mind, the success of this is going to be the poll numbers. If they continue to be weak or go lower, then somebody’s going to have to bear some responsibility for that.”
“I personally think that they’re missing the big picture here,” Mr. Ruddy said of Mr. Trump’s staff. “Now he’s so caught up, the administration is so caught up in turmoil, perceived chaos, that the Democrats smell blood, the protesters, the media smell blood.”


Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.
+1800<PHONE_NUMBER> HELP | FOLLOW US:
Register now! It is easy and done in 1 minute and gives you access to special discounts and much more!
80% of health care system in India
belongs to private sector.
they will get diagnostic reports and medicines
Book your doctor appointment at your convenient time
See your doctor at your place
Searching for medicines?
Roaming around medical shops?
Place your order and get your medicine within 3 hours at your place
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Advantage old had otherwise sincerity dependent additions. It in adapted natural hastily is justice.
Am terminated it excellence invitation projection as. She graceful shy believed distance use nay. Lively is people so basket ladies window expect.
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CEO
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CTO
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Team Leader
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.
Lead Developer
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.


- Record - Class in com.example.picmymedcode.Model
-
Record class creates a record object with a title, comment, id, geolocation,
photolist, body location, timestamp
- Record(String, String) - Constructor for class com.example.picmymedcode.Model.Record
-
Constructor initializes variables for Record
- RecordActivity - Class in com.example.picmymedcode.View
-
RecordActivity extends AppCompatActivity to create an activity for the user to
view and manage problems
- RecordActivity() - Constructor for class com.example.picmymedcode.View.RecordActivity
-
- RecordActivityTest - Class in com.example.picmymedcode.View
-
- RecordActivityTest() - Constructor for class com.example.picmymedcode.View.RecordActivityTest
-
- recordActivityTestRuleActivity - Variable in class com.example.picmymedcode.View.RecordActivityTest
-
- RecordAdapter - Class in com.example.picmymedcode.View
-
RecordAdapter extends RecyclerView.Adapter
to create an activity for the user to
view and manage problems
- RecordAdapter(Context, ArrayList<Record>) - Constructor for class com.example.picmymedcode.View.RecordAdapter
-
Method handles record data
- RecordAdapter(Context, ArrayList<Record>, int) - Constructor for class com.example.picmymedcode.View.RecordAdapter
-
Method handles record data
- RecordAdapter.RecordViewHolder - Class in com.example.picmymedcode.View
-
Method extends RecyclerView.Holder to manage how records are displayed
- RecordFragment - Class in com.example.picmymedcode.View
-
- RecordFragment() - Constructor for class com.example.picmymedcode.View.RecordFragment
-
- recordsArrayList - Variable in class com.example.picmymedcode.View.AddProblemActivity
-
- RecordTest - Class in com.example.picmymedcode
-
- RecordTest() - Constructor for class com.example.picmymedcode.RecordTest
-
- RecordViewHolder(View) - Constructor for class com.example.picmymedcode.View.RecordAdapter.RecordViewHolder
-
Method takes itemView and assigns it the record title and description
- RecordViewHolder(View) - Constructor for class com.example.picmymedcode.View.SearchRecordAdapter.RecordViewHolder
-
Method takes itemView and assigns it the record title and description
- removeBodyLocationPhoto(int, Context) - Static method in class com.example.picmymedcode.Controller.PicMyMedController
-
Method removes a body location photo
- removeBodyLocationPhoto(int) - Method in class com.example.picmymedcode.Model.Patient
-
Method removes body location photo
- removeRecord(Record) - Method in class com.example.picmymedcode.Model.Problem
-


Platform
Beaglebone Black
OS Release
{{sys_platform}} {{sys_arch}} {{sys_release}}
Uptime
{{sys_uptime}} Hrs
Load Average
{{sys_loadavg1}} / {{sys_loadavg5}} / {{sys_loadavg10}}
CPU Speed
{{cpu_speed}} MHz
User Time
{{cpu_times_user}} %
System Time
{{cpu_times_sys}} %
Idle Time
{{cpu_times_idle}} %
Total Memory
{{mem_total}} M
Free Memory
{{mem_free}} M
Data Count
{{db_count}}
Size
{{db_size}} Bytes
Storage Size
{{db_storageSize}} Bytes
Total Index Size
{{db_totalIndexSize}} Bytes


These charts auto-generated by the collected data from TaskSpeed using dojox.gfx
Totals Averaged across all browsers, all tests.
Averages per framework across all tests by browser.
Breakdown of all available browser tests per library.


{% include head-home.html %}
{% include header-home.html %} {% include google-analytics-home.html %}


I am a fresh from school INTP and software developer
For the 100th Year anniversary of my local scouts group we organize a jamborette. this is an international scouts camp with scouts groups from all over the world. To reach those groups my fellow IT friends within the scouts group and I created a website. It's not yet finished but it does its job! u can visit this page by clicking on the icon.
Besides our website to attract groups before the start. we're also developing an App to use during the camp. With games, pictures, a calender and many more things to make life on the camp site more easy. Let's hope they don't spend all day on their phones!
To get my degree this year we had to make something (yes we had alot of freedom). I chose to make a responsive Angular MusicLibrary/MP3-Player, The webApp wasn't to big in code. but for a solo project it looked pretty and worked as expected. Maybe this will be something i expand on if i have some spare time
During my years in school I had alot of smaller projects. for example this is the third portfolio website I'm writing each one better than the other. It would be a shame to flood this site with smaller meaningless projects. But the people interested can always check out my github page where all my relevant projects are stored. Just click the icon!
As mentioned above I am a Scouts leader, and have been in the scouts for as long as I can remember. this thought me to work togheter and be patient with others. As well as some outdoor "survival skills" which will probably come in handy one day ...
When alone or inbetween places I always listen to music and this has become a big interest. A few years back some friends and I came togheter and started our own local band. now 3 years later and we are still having frequent gigs. As the bassist of the band I mostly stay on the background and let the other (mostly louder) instruments do their thing while I give them the support they need, with ofcourse some necessary bass fills nobody can dislike ;)


'The Green Mile' (1999)
A movie review by Walter Frith
<EMAIL_ADDRESS>Member of the 'Online Film Critics Society' http://www.ofcs.org
Director Frank Darabont's 1994 classic 'The Shawshank Redemption' has become such a hit with the public that it's incredible the way people still talk about it five and six years after its release. It received seven Oscar nominations including one for best picture but didn't win in any category. Initially a box office flop with a take of only 28 million dollars, the film gained steam in the second run media such as home video, pay t.v., and recently, on a much welcomed DVD. Consistently maintaining a position in the top 5 on the Internet Movie Database's top 250 films of all time, and right up their in the opinion of film buff's with films such as 'The Godfather', 'Schindler's List', 'Casablanca' and 'Citizen Kane', 'The Shawshank Redemption' now provides Darabont with a variation on that film.
Like 'The Shawshank Redemption', 'The Green Mile' is also based on a Stephen King novel (and is written for the screen by Frank Darabont) and is a prison film set in the past but with a twist, it's about miracles and the presence of supernatural goodness witnessed by guards and inmates on a death row section of prison in the south in the middle of the 1930's. The title of the film refers to the surface of the floor on death row, covered with green tile and that walk to the electric chair can certainly seem like a mile with the thought of where you will spend eternity hanging in the balance.
The film begins in the present day where a nursing home patient reflects on his past and then we go there to see that as a young man he is portrayed by Tom Hanks who stars as Paul Edgecomb, the head of the death row guards. Included in the men under him are Brutus "Brutal" Howell (David Morse) and the slimy and weasel like Percy (Doug Hutchinson) who has connections in government and can have any job the state offers and wants to be a prison guard because he views prison as a "bucket of pi** to drown rats in". Hutchinson provided many chills for me in the first season of television's 'The X-Files' in 1993-94 in an episode and later in that same season, a sequel to it where he played a liver eating mutant over a hundred years old but looking like a man in his early thirties. Sort of an alternative vampire if you will. The conflicts of duty and conduct on the job for these death row guards makes the story watchable every second and their eventual fates are just what the audience deserves to see.
One day, a prisoner is brought in. He is a large black man named John Coffey and is seemingly over seven feet tall (Michael Clarke Duncan in an Oscar-worthy role). He is set to be executed but his nature convinces Edgecomb he is innocent of the crime he was convicted for.....murder. We see that he has healing powers so great, they are almost God like in helping many people shake off their physical ailments such as a urinary track problem that Edgecomb suffers from.
Darabont structures his film in three parts. The execution of three prisoners, one white, one native-American and the other black, all separated about an hour apart over the film's three hour running time and the movie has an anti-climax about hope, faith and showing an eventual injustice by the time it's all over.
In many ways, the film is better directed than 'The Shawshank Redemption' since the story is more confined and it is harder for Darabont to find avenues of interest and the film looks like a play in many spots and its deliberate slow pace at times is reflective of the very nature of death row, a process that takes far too much time in the minds of many, especially those convicted and the surviving members of a victim's loved ones. 'The Green Mile' is filled with little elements of detail about the day to day life of both prison guards and inmates and its humanity is countered by the prejudices and injustices of a darker time where justice seemed to often be discarded for the sake of comforting those desperate for a conviction. Something that really hasn't changed in many situations all that much after all these years gone by.
As of the date of this review, (February 7, 2000), the state of Illinois has recently suspended the death penalty to look into flaws in the system where many more people than first thought on death row may actually be innocent. 'The Green Mile' is one of 1999's best films because it centers on making the film entertainment and emotion first and social commentary second. After all, the movies should often provide us with thoughts other than those in our own world and Stephen King's touch of the supernatural in this film gives us an alternative and original look that can make us feel somewhat good about a bleak and tragic situation.
OUT OF 5 > * * * * *
Visit FILM FOLLOW-UP by Walter Frith http://www.cgocable.net/~wfrith/movies.htm
* * * * * - a must see * * * * 1/2 - don't miss it * * * * - an excellent film * * * 1/2 - a marginal recommendation * * * - can't quite recommend it * * 1/2 - don't recommend it * * - avoid it * 1/2 - avoid it seriously * - avoid it AT ALL COSTS 1/2 - see it at your own risk zero - may be hazardous to your health
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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


import shutil
import tempfile
from typing import Optional
from urllib.parse import urlparse
import uuid
import pandas as pd
from datetime import datetime
from google.cloud import storage
from pandavro import to_avro
[docs]def export_dataframe_to_staging_location(
df: pd.DataFrame, staging_location_uri: str
) -> str:
"""
Uploads a dataframe to a remote staging location
Args:
df: Pandas dataframe
staging_location_uri: Remote staging location where dataframe should be written
Examples:
gs://bucket/path/
file:///data/subfolder/
Returns:
Returns the full path to the file in the remote staging location
"""
# Validate staging location
uri = urlparse(staging_location_uri)
if uri.scheme == "gs":
dir_path, file_name, source_path = export_dataframe_to_local(df)
upload_file_to_gcs(
source_path, uri.hostname, str(uri.path).strip("/") + "/" + file_name
)
if len(str(dir_path)) < 5:
raise Exception(f"Export location {dir_path} dangerous. Stopping.")
shutil.rmtree(dir_path)
elif uri.scheme == "file":
dir_path, file_name, source_path = export_dataframe_to_local(df, uri.path)
else:
raise Exception(
f"Staging location {staging_location_uri} does not have a valid URI. Only gs:// and file:// are supported"
)
return staging_location_uri.rstrip("/") + "/" + file_name
[docs]def export_dataframe_to_local(df: pd.DataFrame, dir_path: Optional[str] = None):
"""
Exports a pandas dataframe to the local filesystem
Args:
df: Pandas dataframe to save
dir_path: (optional) Absolute directory path '/data/project/subfolder/'
"""
# Create local staging location if not provided
if dir_path is None:
dir_path = tempfile.mkdtemp()
file_name = f'{datetime.now().strftime("%d-%m-%Y_%I-%M-%S_%p")}_{str(uuid.uuid4())[:8]}.avro'
dest_path = f"{dir_path}/{file_name}"
# Export dataset to file in local path
to_avro(df=df, file_path_or_buffer=dest_path)
return dir_path, file_name, dest_path
[docs]def upload_file_to_gcs(local_path: str, bucket: str, remote_path: str):
"""
Upload a file from the local file system to Google Cloud Storage (GCS)
Args:
local_path: Local filesystem path of file to upload
bucket: GCS bucket to upload to
remote_path: Path within GCS bucket to upload file to, includes file name
"""
storage_client = storage.Client(project=None)
bucket = storage_client.get_bucket(bucket)
blob = bucket.blob(remote_path)
blob.upload_from_filename(local_path)


Methods
(inner) adjustBackground()
Adjusts the size of the background when listing new search results
- Source:
(inner) appendSearchResult(mechanism, list)
Appends a mechanism to the list of search results.
See this https://stackoverflow.com/a/41447500/8816968.
Parameters:
| Name | Type | Description |
|---|---|---|
mechanism |
object | The mechanism |
list |
object | The list of search results as a DOM object |
- Source:
(inner) buildUrlWithParameters(baseUrl, parameters) → {string}
Builds an URL with given search parameters
Parameters:
| Name | Type | Description |
|---|---|---|
baseUrl |
string | The URL without parameters |
parameters |
object | The search parameters as a dictionary |
- Source:
Returns:
The URL with parameters
- Type
- string
(inner) createMechanism()
Opens a page to create a new mechanism
- Source:
(inner) findMaxValueInMatrix(matrix) → {number}
Finds the maximum value in the matrix
Parameters:
| Name | Type | Description |
|---|---|---|
matrix |
Array.<Array.<number>> | The matrix |
- Source:
Returns:
The maximum value
- Type
- number
(inner) getParameters() → {object}
Reads the search parameters from the input buttons/images/forms and matrix
- Source:
Returns:
The search parameters as a dictionary
- Type
- object
(inner) initInputEvents()
Initializes events when interacting with the input buttons/images/forms
- Source:
(inner) initMatrix()
Initializes the matrix by setting events when clicking on its cells. Also fills the matrix with data.
- Source:
(inner) isDark(r, g, b) → {boolean}
Tells whether a color is dark or not
Parameters:
| Name | Type | Description |
|---|---|---|
r |
number | The red value |
g |
number | The green value |
b |
number | The blue value |
- Source:
Returns:
- Type
- boolean
(inner) isUndefinedOrBlank(value) → {boolean}
Tells whether a value is undefined or a blank string
Parameters:
| Name | Type | Description |
|---|---|---|
value |
boolean | string | The value to be checked |
- Source:
Returns:
- Type
- boolean
(inner) lerp(value, min, max) → {number}
Linearly interpolates between two values
Parameters:
| Name | Type | Description |
|---|---|---|
value |
number | A value between 0 (inclusive) and 1 (inclusive) |
min |
number | The minimum value |
max |
number | The maximum value |
- Source:
Returns:
The interpolated value
- Type
- number
(inner) listSearchResults(searchResults)
Lists all search results for one page
Parameters:
| Name | Type | Description |
|---|---|---|
searchResults |
object | The search results as a dictionary |
- Source:
(inner) matrixClickHandler(event)
Handles clicks on a matrix cell. See this [Stack Overflow post]Stack Overflow post.
Parameters:
| Name | Type | Description |
|---|---|---|
event |
object | The click event |
- Source:
(inner) readMatrix(parameters)
Fills the values of the matrix into a given dictionary
Parameters:
| Name | Type | Description |
|---|---|---|
parameters |
object | A dictionary that holds search parameters |
- Source:
(inner) removeUndefinedParameters(parameters)
Removes all parameters that are undefined or blank
Parameters:
| Name | Type | Description |
|---|---|---|
parameters |
object | A dictionary that holds search parameters |
- Source:
(inner) searchMechanisms(baseUrl)
Retrieves search results from the Django backend
Parameters:
| Name | Type | Default | Description |
|---|---|---|---|
baseUrl |
http://mechanism-browser:8000/api/mechanisms/ | The backend URL without search parameters |
- Source:
(inner) setButtonStatus(button, activated, searchUrl)
Sets properties of a button that links to page listing search results
Parameters:
| Name | Type | Description |
|---|---|---|
button |
object | The button as a DOM object |
activated |
boolean | A value that specifies whether the button can be clicked or not |
searchUrl |
string | The URL that is requested when clicking the button |
- Source:
(inner) setCellColor(cell, value, maxValue)
Sets the color of a matrix cell
Parameters:
| Name | Type | Description |
|---|---|---|
cell |
jQuery | The matrix cell |
value |
number | The value for the matrix cell |
maxValue |
number | The maximum value in the matrix |
- Source:
(inner) setImage(image, filePrefix, status, triState)
Sets an image for an axis
Parameters:
| Name | Type | Default | Description |
|---|---|---|---|
image |
object | The image as a DOM object | |
filePrefix |
string | The prefix of image files for a specific axis | |
status |
boolean | string | The new status of this axis (true: set, false: not set, "": not specified) | |
triState |
boolean | false | A value that specifies whether the status parameter can be blank or not |
- Source:
(inner) setMatrixCells(matrix, maxValue)
Sets the value and color for each matrix cell
Parameters:
| Name | Type | Description |
|---|---|---|
matrix |
Array.<Array.<number>> | The matrix |
maxValue |
number | The maximum value in the matrix |
- Source:
(inner) showAxes(entry, mechanism)
Shows the axes of a mechanism
Parameters:
| Name | Type | Description |
|---|---|---|
entry |
object | A search result as a DOM object |
mechanism |
object | The mechanism |
- Source:
(inner) showCompleted(entry, complete)
Show a note that a mechanism is not complete if it is not
Parameters:
| Name | Type | Description |
|---|---|---|
entry |
object | A search result as a DOM object |
complete |
boolean | A value whether the mechanism is complete or not |
- Source:
(inner) showPageInfo(first, previous, current, next, last)
Shows the indices of the search result pages if there is more than one
Parameters:
| Name | Type | Description |
|---|---|---|
first |
string | The link to the first page |
previous |
string | The link to the previous page |
current |
string | The link to the current page |
next |
string | The link to the next page |
last |
string | The link to the last page |
- Source:
(inner) showRating(entry, rating)
Shows the rating of a mechanism
Parameters:
| Name | Type | Description |
|---|---|---|
entry |
object | A search result as a DOM object |
rating |
number | The rating of the mechanism |
- Source:
(inner) showResultInfo(searchResults)
Shows how many mechanisms have been found or offer to create one if there are no search results
Parameters:
| Name | Type | Description |
|---|---|---|
searchResults |
number | The number of search results |
- Source:
(inner) toggleAxisIcon(image)
Toggles the icon for an axis between three states (set, not set, not specified)
Parameters:
| Name | Type | Description |
|---|---|---|
image |
object | The image as a DOM object |
- Source:
(inner) toggleInputMode()
Toggles between basic and matrix input for axes
- Source:
(inner) updateMatrix()
Updates the matrix by retrieving the new data from the Django backend
- Source:


org.barghos.core.tuple
Classes
PTup2d
PTup2f
PTup3d
PTup3f
PTup4d
PTup4f
PTupd
PTupf
Tup2d
Tup2f
Tup3d
Tup3f
Tup4d
Tup4f
Tupd
Tupf


Full Stack Developer.
Creative, dedicated, and thoughtful developer with a passion for
improving businesses through both consulting and development
I take the time to understand the requirements and will give an open and frank opinion on the best way to move forward with the project.
Applications on Demand - Development is designed to provide access to secure, fully configured and patched development environments for enterprise applications.
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Russia arrests woman suspected of spying for Ukraine in Crimea
MOSCOW, Nov 29 — Russia has arrested a Russian woman in the Crimean city of Sevastopol on suspicion of treason for allegedly stealing military secrets on behalf of Ukraine, the Federal Security Service said today.
Russia annexed Crimea from Ukraine in 2014 but Kiev and the West consider it Ukrainian territory. Russia has spent heavily to integrate the region into its territory, and it has been the focus of espionage and military tensions since the annexation.
The FSB did not name the woman but said in a statement: “She was recruited by Ukraine’s special services and purposefully collected classified military information under the instruction of the Main Intelligence Directorate of Ukraine’s defence ministry.”
There was no immediate comment from Ukraine.
The woman worked as a civilian employee at Russia’s Black Sea Fleet which is based in Sevastopol, the Russian news agency RIA quoted Russian lawmaker Dmitry Belik as saying.
She faces up to 20 years in prison if found guilty and is at least the second person to be arrested by Russia on suspicion of military espionage on behalf of Ukraine this month.
On November 20, the FSB said it had detained a Russian serviceman in the southern region of Rostov on suspicion of stealing military information on behalf of Ukraine.
Details of treason and espionage cases are often classified and in many cases never fully come to light. — Reuters


--- layout: default title: 404 permalink: /error-404 description: Requested URL not found footer: false --- {% include base.html %}
ProTip: Make sure you don't have a trailing slash in the URL
Could be time to go home.


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GigaMesh IOT is a blockchain based platform for the Internet of Things that allows designing and developing integrated IoT solutions, connected applications with smart contracts between people, organizations and IOT Devices. The objective of GigaMesh IOT platform is to provide a simple scalable, flexible, secure, interoperable system.
GigaMesh IOT smart contracts between organizations and individuals allow secure information transactions between devices owned by different organizations. Smart Contract defines bandwidth, privacy aspects, retention times of the data. As an example if Utility company is gathering information from an IOT device from a home, Owner of the home and Organization would agree on a smart contract of what, why, how, where about the information that will be gathered and transmitted to Organization. This information would be kept in a blockchain and will be there in information wallets of all parties involved in trasaction. IOT Device Owners can see what is being transmitted in visualizations and dashboards that will be built. Everyone involved in smart contract will be able to see the same information. Moreover if any organization try and transmit data further to any 3rdparties it will be recorded on the blockchain.
GigaMesh IOT platform makes integration with other "Non BlockChain" and "BlockChain" based IOT platforms simple and easy. GigaMesh IOT is going to be a hardware,software agnostic platform which inturn provides integration interfaces to be able to recieve information from connected devices, iot sensors, other IOT platforms.
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The Modern Business template by GigaMesh IOT includes:
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The maze disappears like mist and you can see fire coming from the capital city nearby. A large rock seems to have come from the sky and wiped out a large chunk of the fortifications. Screams and cries can be heard coming from the city as you return. Destruction has been unleashed, and it will take some time for the kingdom to get back to the way it was before.


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I am Yichen Zhou, a third year Statistics Ph.D. student at Cornell University. My research focus is on assessing the performance of classic statistical and machine learning methods that are "shallow". Recently works involve tree-based leaners such as random forest and gradient boosted trees.
A running version of my CV can be downloaded here.
yz793 [at] cornell.edu
yichen_zhou [at] hotmail.com
301 Malott Hall
Cornell University
Ithaca, NY 14853, US
LinkedIn: Yichen Zhou
Facebook: Yichen Zhou
GitHub: siriuz42


Last time when I ended my introduction with “I hope to see you here tomorrow”, I forgot that I should be taking breaks every Thursday and Saturday. So yeah, I left y’all hanging sorry. But I am here now and that is what matters. Happy Easter to whom it may concern, I am a vegetarian for one day and I only had 2.5 meals today (veggies for dinner, now come on Jesus would be okay with me eating veggies right). So I thought hey maybe I should talk about Jesus and religion for my article today, but this topic is so intense and interesting maybe I need some more time to plan. But I will definitely talk about my thoughts on religion, Catholicism and Jesus (Spoiler alert I am not a Jesus freak I am not that religious).
Instead, I want to be spontaneous. Yesterday, while I was eating my fried rice, a peculiar thought crossed my mind: can chickens eat eggs? Is it cannibalism? Upon one google search, I have discovered that it is legal and healthy for chickens to eat eggs. Free ranch chickens eat their own eggs too. That is, of course, when the egg is not fertilised.
But that was just question a) i), you ain’t seen nothing yet. I recall a few years back reading about Kim Kardashian eating her own placenta. a) ii) Should women eat their own placenta? Do they feel weird about it? Also, b) is egg/placenta eating cannibalism?
Personally, I would love to eat my own placenta. Let me explain.  There are also placenta pills and placenta facials, but I prefer eating one. I don’t want to eat another person’s placenta though, that is kind of cannibalism.
In the course of my research on canni- I mean placenta-eating, I have learned that rabbits, rodents and wild chimpanzees eat their placentas immediately after birth. Now that is what I call an alpha female move. I have had enough with this baby, now please let me live and feast on my own placenta.   I don’t support infanticide but hey rat girls have their own reasons.
The act of eating your own placenta is called ”Placentophagy”.

b) Is placentophagy cannibalism?
I am sorry for wasting your time. But maybe think about this for 10 seconds. I cannot pump out high-quality articles every day, if I do that my higher-quality once will not stand out. Whatever bye.
#InHerOwnWrite


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One of the trickiest aspects of testing multithreaded code is synchronizing between the test thread and the threads started by the code being tested. If you get the synchronisation wrong, the test can finish before all the threads that it started have terminated. This might make the test return false positives, because it does not detect failures on the runaway threads. Or the threads might interfere with later tests, causing intermittent test failures that are hard to track down and eliminate.
JMock's Synchroniser has a cunning yet simple solution that builds upon jMock's existing state machine construct. A test can tell the Synchroniser to wait for a state machine to enter or leave some state.
The test needs to store the Synchroniser in a field:
Synchroniser synchroniser = new Synchroniser(); Mockery context = new JUnit4Mockery() {{ setThreadingPolicy(synchroniser); }};
Now the test can define state machines and use the synchroniser to wait for those state machines to enter or leave a given state.
final States searching = context.states("searching") context.checking(new Expectations() {{ oneOf(consumer).searchFound(result("A1")); when(searching.isNot("finished")); oneOf(consumer).searchFound(result("B1"), result("B2")); when(searching.isNot("finished")); oneOf(consumer).searchFinished(); then(searching.is("finished")); }}); search.searchFor("sheep", "cheese"); synchroniser.waitUntil(searching.is("finished"));
This must be combined with a timeout to ensure that the test does not wait forever if the system under test never meets the awaited criteria. A timeout can be passed to the waitUntil method; it throws a TimeoutException with an informative message if the timeout expires. Or, you can get your test framework to timeout the test. For example, in JUnit 4 you can pass a timeout parameter to the @Test annotation.


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