Skyline Academy:
Scott Duffy:
Below you will find a list of free resources from Microsoft on their Microsoft Learn site.
Administer infrastructure resources in Azure (12 Modules)
Architect storage infrastructure in Azure (7 Modules)
Architect network infrastructure in Azure (12 Modules)
Architect infrastructure operations in Azure (5 Modules)
Architect compute infrastructure in Azure (9 Modules)
Architect migration, business continuity, and disaster recovery in Azure (9 Modules)
Manage resources in Azure (6 Modules)
Manage identity and access in Azure Active Directory (7 Modules)
Manage security operations in Azure (8 Modules)
Implement resource management security in Azure (6 Modules)
Administer containers in Azure (6 Modules)
Create users and groups
Manage user and group properties
Manage device settings
Perform bulk user updates
Manage guest accounts
Configure Azure AD Join
Configure self-service password reset
Create a custom role
Provide access to Azure resources by assigning roles: subscriptions, resource groups and resources (VM, disk, etc.)
Interpret access assignments
Manage multiple directories
Configure Azure policies
Configure resource locks
Apply tags
Create and manage resource groups
Move resources
Remove RGs
Manage subscriptions
Configure Cost Management
Configure management groups
Configure network access to the storage account
Create and configure storage account
Generate shared access signature
Manage access keys
Implement Azure storage replication
Configure Azure AD Authentication for a storage account
Export from Azure job
Import into Azure job
Install and use Azure Storage Explorer
Copy data by using AZCopy
Create an Azure file share
Create and configure Azure File Sync service
Configure Azure blob storage
Configure storage tiers for Azure blobs
Configure high availability
Deploy and configure scale sets
Modify Azure Resource Manager (ARM) template
Configure VHD template
Deploy from template
Save a deployment as an ARM template
Automate configuration management by using custom script extensions
Configure Azure Disk Encryption
Move VMs from one resource group to another
Manage VM sizes
Add data discs
Configure networking
Redeploy VMs
Create and configure Azure Kubernetes Service (AKS)
Create and configure Azure Container Instances (ACI)
Create and configure App Service
Create and configure App Service Plans
Create and configure VNET peering
Configure private and public IP addresses network routes, network interface, subnets, and virtual network
Configure Azure DNS
Configure custom DNS settings
Configure a private or public DNS zone
Create security rules
Associate an NSG to a subnet or network interface
Evaluate effective security rules
Deploy and configure Azure Firewall
Deploy and configure Azure Bastion Service
Configure Application Gateway
Configure an internal load balancer
Configure load balancing rules
Configure a public load balancer
Troubleshoot load balancing
Monitor on-premises connectivity
Use Network resource monitoring
Use Network Watcher
Troubleshoot external networking
Troubleshoot virtual network connectivity
Create and configure Azure VPN Gateway
Create and configure VPNs
Configure ExpressRoute
Verify on premises connectivity
Configure Azure Virtual WAN
Configure and interpret metrics
Analyze metrics across subscriptions
Configure Log Analytics
Implement a Log Analytics workspace
Configure diagnostic settings
Query and analyze logs
Create a query
Save a query to the dashboard
Interpret graphs
Set up alerts and actions
Create and test alerts
Create action groups
View alerts in Azure Monitor
Analyze alerts across subscriptions
Configure Application Insights
Configure and review backup reports
Perform backup and restore operations by using Azure Backup Service
Create a Recovery Services Vault
Use soft delete to recover Azure VMs
Create and configure backup policy
Perform site-to-site recovery by using Azure Site Recovery


Fiscal Cloud Print
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---
layout: page
title: Curriculum Vitae
background: '/img/bg-post.jpg'
---
Education
Texas Woman's University
- B.S. Mathematics
- Certification in teaching grades 7-12
- December 2021
Service
Little Elm High School
- Communities in Schools of North Texas
- Math tutor
- Sping 2020
Project Transformation, North Texas
- Volunteer reading with ESL students
- Summer 2011
- Summer 2010


Matt Hagan: "You have to focus on what you can control" in Funny Car title battle
Riding a two-race win streak and after having the only Funny Car to make it down Auto Club Raceway at Pomona on both qualifying passes Friday, Matt Hagan is feeling pretty good -– and relaxed -- about his bid for a third Funny Car championship.
by Phil Burgess, NHRA National Dragster EditorRiding a two-race win streak and after having the only Funny Car to make it down Auto Club Raceway at Pomona on both qualifying passes Friday, Matt Hagan is feeling pretty good -– and relaxed -- about his bid for a third Funny Car championship.
After back to back wins in Dallas and Las Vegas, he and crew chief Dickie Venables have climbed from the No. 6 seed entering the Countdown to the Championship to third, now just 48 points behind leader Robert Hight.
“I don’t feel any pressure; I’m just having fun,” he said. “The car is so good right now. I’ve been in Robert’s seat and looking back while trying to move forward and if the roles were reversed, my butt would be a little puckered.”
The Dodge Charger Hellcat Widebody Funny Car has been on an incredible roll, and not just on Sundays. It’s run in the three-second zone on 22 of its last 25 runs and turned on the win light the eight times it’s gone down the track on Sundays. In winning in Dallas, they made four runs Sunday between 3,903 and 3,909.
| Event | Q1 | Q2 | Q3 | Q4 | E1 | E2 | E3 | Final |
| Charlotte | 3.900 | 3.872 | 3.940 | 3.880 | 3.937 | 3.922 | 3.947 (loss) | |
| Dallas | 4.068 | 3.890 | 4.122 | 3.950 | 3.903 | 3.903 | 3.900 | 3.909 |
| Vegas | 3.915 | 3.921 | 4.166 | 3.872 | 3.909 | 3.869 | 3.881 | 3.876 |
Don’t mistake Hagan’s ease for dismissal. He’s been on both sides of the coin. His championships, in 2011 and 2014, came, respectively, from the fifth and seventh seed, so he’s been there and done that. He’s also entered the Countdown as the top seed, in 2013, only to lose the title to John Force in Pomona, just as he painfully did in 2010.
“It’s great to toot your horn but at the end of the day I know how humbling these cars can be,” he said. “We just have to keep working on our combo. I believe in my guys and it’s just cool to see that hunger, that feeling that they know they have the opportunity,
“I think that Robert has to focus on Robert and we have to focus on us.  You have to focus on what you can control and leave the rest up to what it is and let it take care of itself.
“Not everyone does that and not everyone is good at that, but that’s the only way I’ve been able to do it.”
And Venables is doing his thing, as he always seems to do. His car ran 3.900 and 3.872 Friday when no one else could put together two good runs.
“The track was a lot better than what people thought and they were shaking the tires,” said Hagan. “We were actually placing the car towards the outside [of the lane] to try to find some different rubber. My guys have done a really good job on the wear package for our clutch and our combo and getting it down the track. The car is just so good now and my lights are good, so we’re just digging.”


Events
Presently the only event fired is event.document.did_save
.
Catching an event is done by adding an eventSpecifier
key to a regular command and setting the value to the event which should be caught.
An example of this is the “Make Script Executable” in the included Avian bundle. This is scoped to source.ruby
so if you create a new ruby file and save it, it should automatically get the executable bit set.


DEVIL IN A BLUE DRESS A film review by S. Elkins Copyright 1995 S. Elkins
DEVIL IN A BLUE DRESS: Detective thriller in 1948 LA, based on a book I haven't read.
Plot Kickoff: Easy Rollins takes a job to find a white woman who's gone missing.
Characters/Acting: Denzel Washington is convincing as Easy; his transition from a mild-mannered guy through anger and frustration make his later actions convincing. He also does a great job playing the humor, and there is a lot of humor in this movie, straight so it shines through. Jennifer Beals (FLASHDANCE, THE BRIDE (opposite Sting as Victor Frankenstein)) is fine as the woman on the run. Mouse, Easy's dangerous friend, is played by whoever plays the district attorney on PICKET FENCES. If they make a sequel I hope he's in it too.
Cinematography: I liked the title sequence a lot, shot against a painting (moving over the different scenes of the neighborhood in the painting). Still, as far as the picture goes, I think the big screen isn't a must, if you want to wait to rent.
Sound/Score: On the other hand, the great jazz soundtrack would lose out unless you have a really good sound system attached to your TV.
Skin/situations: Actually not that much skin per se, but there is an earthy (and funny) sex scene.
Violence: Yep. Certainly not the most violent or gory I've seen in the past few months, though.
Language: Racial slurs, other profanity.
Analysis: I really liked this movie. The main character was smart enough to put the puzzle pieces together (most of 'em, anyway), and I liked the themes of loyalty, friendship, and community that kept coming up. There was more to this thriller than just the surface plot, and yet it wasn't burdened by a lot of heavy-handed social commentary either.
--<EMAIL_ADDRESS>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


|
KPN Things Device SDK
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#include <senml_base_parser.h>
Public Member Functions | |
| SenMLBaseParser (SenMLBasePack *root) | |
Protected Member Functions | |
| void | setCurrentPack (String &name) |
| void | setCurrentRecord (int thingsmlIndex) |
| void | setCurrentRecord (String &name) |
Protected Attributes | |
| SenMLBasePack * | root |
| SenMLRecord * | curRec = NULL |
| SenMLBasePack * | curPack |
| String | curRecName |
| String | curPackName |
base class for json and cbor parsers. Provides functionality to connect to and search in senml packs and recrods.
|
inline |
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protected |
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protected |
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protected |
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protected |
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A well-known example program for Datalog, which I found in the book "Foundations of Databases" by Abiteboul, Hull & Viano, presented in chapter 13
The complete example is presented on this page. An abridged version (the difference being a smaller fact set) is presented here. I don't realistically expect readers to follow this long trace (at a whopping 127 trace steps) but since I had it anyway I included it for fun; an interesting research problem is how to make even this trace understandable so I'll leave it as a reminder!
Program// 'up' means 'goes up to' up("a", "e"). up("a", "f"). up("f", "m"). up("g", "n"). up("h", "n"). up("i", "o"). up("j", "o"). // 'goes horizontally toward' flat("g", "f"). flat("m", "n"). flat("m", "o"). flat("p", "m"). // 'goes down to' down("l", "f"). down("m", "f"). down("g", "b"). down("h", "c"). down("i", "d"). down("p", "k"). reverse_same_generation(X, Y):- flat(X, Y). reverse_same_generation(X, Y):- up(X, X1), reverse_same_generation(Y1, X1), down(Y1, Y) .Query
reverse_same_generation(A, B)
For the sake of reducing graph size, the identifiers 'up' , 'down' , 'flat' and 'reverse_same_generation' will be renamed in the actual trace to 'u' , 'd' , 'f' and 'r' respectively.
Hint: Hovering over a graph expands it
Trace appears confusing? This might help
{{trace_is_here}}


“Agārasmiṁ vasantīhaṁ,
dhammaṁ sutvāna bhikkhuno;
Addasaṁ virajaṁ dhammaṁ,
nibbānaṁ padamaccutaṁ.
While staying at home
I heard the teaching from a mendicant.
I saw the stainless Dhamma,
extinguishment, the imperishable state.
Sāhaṁ puttaṁ dhītarañca,
dhanadhaññañca chaḍḍiya;
Kese chedāpayitvāna,
pabbajiṁ anagāriyaṁ.
Leaving behind my son and my daughter,
my riches and my grain,
I had my hair cut off,
and went forth to homelessness.
Sikkhamānā ahaṁ santī,
bhāventī maggamañjasaṁ;
Pahāsiṁ rāgadosañca,
tadekaṭṭhe ca āsave.
As a trainee nun,
I developed the direct path.
I gave up greed and hate,
along with associated defilements.
Bhikkhunī upasampajja,
pubbajātimanussariṁ;
Dibbacakkhu visodhitaṁ,
vimalaṁ sādhubhāvitaṁ.
When I was fully ordained as a nun,
I recollected my past lives,
and purified my clairvoyance,
immaculate and fully developed.
Saṅkhāre parato disvā,
hetujāte palokite;
Pahāsiṁ āsave sabbe,
sītibhūtāmhi nibbutā”ti.
Conditions are born of causes, crumbling;
having seen them as other,
I gave up all defilements,
I’m cooled and quenched.
… Sakulā therī ….


Cyclotron project:https://github.com/mahonnaise/cyclotron
Image by smyph.
Cursor by Gestureworks_one.
HTML5


{% block title %}Unauthorized{% endblock %} {% block body %}
You are not authorized to access this page!


Full Aquarium Dimmer
A fader to control aquarium lamps including the lunnar cycle simulation.
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Power Outlet Controller
A wireless power outlet controller interface to control 120/220v devices.
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Wifi Settings
Configuration for the onboard wifi adapter to work as AP or station mode.
Real-time Clock
Configuration for the real-time clock and the NTP server.
Firmware Manager
Manager for firmware update including the sytem files.
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WARNING!! The opaq project is not responsible for any faulty update or damage of the device. DO THAT AT YOUR OWN RISK.
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Celltilizer is the unique SAPUTRA product, which is plant's "food" that is given directly to plant cells through the leaves and or stems of plants by spraying.
Celltilizer is an essential nutrient that functions to optimize cell performance in utilizing fertilizers applied to the soil, improve cell performance in the process of stem and leaf growth (vegetative phase) and optimize fruit production and harvest quality (generative phase).
Celltilizer is the only product in the world where the technology is the 5th generation in the development of agricultural technology, which starts from the discovery of macronutrients, micronutrients, probiotic, hormone and the last is celltilizer (as shown in the following picture).
The Best Nutrients You Can Give To Enhance Crop's Growth
Spray onto the plants during the fruit formation and filling phase (generative phase).
Product packaging: 200 grs/bottle.
The application method is by dissolving 3 tablespoon (30grs) into water in sprayer tank 15 liter of capacity, then spray onto the leaves or stems of the plant.
Total dose per cycle is 4-6 bottle/ha with a spraying frequency of 3-4 times.


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~Kinetic Gaming Community is a worldwide community of 1500+ mature gaming enthusiasts, who have grown up in the era of eSports. We emphasize teamwork and communication. If you are looking to join a gaming community with deep roots in esports and a history of having an absolute blast; then look no further!


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Drop Us a Line So That We Can Hear From You
Contactus about anything related to our company or services. We’ll do our best to get back to you as son as possible.
Curabitur et neque arcuullam sem doloriaculis sitamet orci utrum fringilla erat.
Contactus about anything related to our company or services. We’ll do our best to get back to you as son as possible.
1504 Tori Lane Jody lake, Banglor Lake City, Dogwood Road USA 84104
+180-123-4567
+180-123-8910
<EMAIL_ADDRESS>(865)934-1234


Gems documentation¶
A small julia utility for basic ICD-9-CM and ICD-10-CM GEMs cross-walking.
About GEMs¶
General Equivalency Maps (GEMs) support the interoperability between ICD-9 and ICD-10 codebases and are maintained by the Centers for Medicare and Medicaid Services (CMS). Multiple mapping types may occur including one-to-one and one-to-many. GEMs provide various flags to further characterize these mapping relationships.
- Map between ICD-9-CM and ICD-10-CM
Forward mapping: ICD-9 to ICD-10 codes
Backward mapping: ICD-10 to ICD-9 codes
- Filter by map type
- Approximate:
Imperfect correspondence: approximate = 1
Perfect correspondence: approximate = 0
- No Map:
No acceptable GEMs mapping exists: no map = 1
One or greater mappings exist: no map = 0
- Combination:
Mapping is one-to-many: combination = 1
One-to-one: combination = 0
- Scenario:
Multiple target codes are required to complete mapping: scenario = 1
Multiple target codes are not required: scenario = 0
- Choice list: Used with the combination flag to direct alternatives when mappings are one-to-many
A single combination mapping exists: choice list = 1
More than one combination mapping exists: choice list = 2
No combination mapping exists: choice list = 0
Examples¶
Forward mapping:
import Gems: gems
gems("59972", map_to = "icd10", flag_type = "approximate")
│ Row │ source │ target │ descriptions │
│ │ String │ String │ String │
├─────┼────────┼────────┼────────────────────────────────────────┤
│ 1 │ 59972 │ R311 │ Benign essential microscopic hematuria │
│ 2 │ 59972 │ R3121 │ Asymptomatic microscopic hematuria │
│ 3 │ 59972 │ R3129 │ Other microscopic hematuria │
Backward mapping:
import Gems: gems
gems("R6521", map_to = "icd9", show_flags = true)
│ Row │ source │ target │ approximate │ no map │ combination │ scenario │ choice list │ descriptions │
│ │ String │ String │ Int64 │ Int64 │ Int64 │ Int64 │ Int64 │ String │
├─────┼────────┼────────┼─────────────┼────────┼─────────────┼──────────┼─────────────┼───────────────┤
│ 1 │ R6521 │ 78552 │ 1 │ 0 │ 1 │ 1 │ 1 │ Septic shock │
│ 2 │ R6521 │ 99592 │ 1 │ 0 │ 1 │ 1 │ 2 │ Severe sepsis │
Note
The author of this library is not affiliated, associated, authorized, endorsed by, or in any way officially connected with Centers for Medicare and Medicaid Services (CMS), or any of its subsidiaries or its affiliates.


McCauley, D.J., Dawson, T.E., Power, M.E., Finlay, J.C., Ogada, M., Gower, D.B., Caylor, K.K., Nyingi, W.D., Githaiga, J.M., Nyunja, J., Joyce, F.H., Lewison, R.L., and Brashares, J.S. (2015) Carbon stable isotopes suggest that hippopotamus-vectored nutrients subsidize aquatic consumers in an East African river, Ecosphere 6(4):52. http://dx.doi. org/10.1890/ES14-00514.1
The common hippopotamus, Hippopotamus amphibius , transports millions of tons of organic matter annually from its terrestrial feeding grounds into aquatic habitats. We evaluated whether carbon stable isotopes (δ 13 C) can be used as tracers for determining whether H. amphibius -vectored allochthonous material is utilized by aquatic consumers. Two approaches were employed to make this determination: (1) lab-based feeding trials where omnivorous river fish were fed a H. amphibius dung diet and (2) field sampling of fish and aquatic insects in pools with and without H. amphibius . Lab trials revealed that fish fed exclusively H. amphibius dung exhibited significantly more positive δ 13 C values than fish not fed dung. Fish and aquatic insects sampled in a river pool used for decades by H. amphibius also exhibited more positive δ 13 C values at the end of the dry season than fish and insects sampled from an upstream H. amphibius -free reference pool. Fish sampled in these same pools at the end of the wet season (high flow) showed no significant differences in δ 13 C values, suggesting that higher flows reduced retention and use of H. amphibius subsidies. These data provide preliminary evidence that δ 13 C values may be useful, in certain contexts, for quantifying the importance H. amphibius organic matter.


This tool is meant to improve your experience with Apache Cassandra. Provide some information about your table definition, and the size, population, and cluster distributions of each of your fields and the tool will give you a script you can use to benchmark your data model and a storage engine visualization. Please input your table definition for one table, keeping the Create statement, field definitions, and Primary Key definition on separate lines.
Please complete the configuration tab.


| HADOOP-9582 |
Non-existent file to "hadoop fs -conf" doesn't throw error |
Major |
conf |
Ashwin Shankar |
Ashwin Shankar |
| HADOOP-9581 |
hadoop --config non-existent directory should result in error |
Major |
scripts |
Ashwin Shankar |
Ashwin Shankar |
| HDFS-4878 |
On Remove Block, Block is not Removed from neededReplications queue |
Major |
namenode |
Tao Luo |
Tao Luo |
| HDFS-4867 |
metaSave NPEs when there are invalid blocks in repl queue. |
Major |
namenode |
Kihwal Lee |
Plamen Jeliazkov |
| HDFS-4862 |
SafeModeInfo.isManual() returns true when resources are low even if it wasn't entered into manually |
Major |
. |
Ravi Prakash |
Ravi Prakash |
| HDFS-4832 |
Namenode doesn't change the number of missing blocks in safemode when DNs rejoin or leave |
Critical |
. |
Ravi Prakash |
Ravi Prakash |
| HDFS-4765 |
Permission check of symlink deletion incorrectly throws UnresolvedLinkException |
Major |
namenode |
Andrew Wang |
Andrew Wang |
| HDFS-4205 |
fsck fails with symlinks |
Major |
hdfs-client |
Andy Isaacson |
Jason Lowe |
| MAPREDUCE-5316 |
job -list-attempt-ids command does not handle illegal task-state |
Major |
client |
Ashwin Shankar |
Ashwin Shankar |
| MAPREDUCE-5315 |
DistCp reports success even on failure. |
Critical |
distcp |
Mithun Radhakrishnan |
Mithun Radhakrishnan |
| MAPREDUCE-5308 |
Shuffling to memory can get out-of-sync when fetching multiple compressed map outputs |
Major |
. |
Nathan Roberts |
Nathan Roberts |
| MAPREDUCE-4019 |
-list-attempt-ids is not working |
Minor |
client |
B Anil Kumar |
Ashwin Shankar |
| YARN-742 |
Log aggregation causes a lot of redundant setPermission calls |
Major |
nodemanager |
Kihwal Lee |
Jason Lowe |


Initializing Cloud Firestore¶
continuous-rater
relies on Google Firebase to store and access information about subjects, ratings and stimuli. Firebase offers a generous free tier and is cost-effective to scale. To get started, click here and sign into the console with a Google account. Here’s how you get set up:
Press the Create a project button and follow the prompts until your project is initialized (I recommend the default options provided).
Open your new project and click the Develop tab in the left-side menu.
Under Develop, click Authentication and then navigate to the Sign-in method tab.
Edit the Email/Password option and toggle the top Enable switch to on. Press Save.
Back under the Develop tab, click Cloud Firestore and then click the Create database button. Change the security rules option to Start in test mode and press Next. Keep the default location, and then press Enable.
After a brief loading period, you should see your Cloud Firestore database! Start by navigating to the Rules tab right under Cloud Firestore. Copy and paste the following code over the current rules, and then press Publish.
rules_version = '2'; service cloud.firestore { match /databases/{database}/documents { match /{document=**} { allow read, write: if request.auth.uid != null } } }
Navigate back to the Data tab (directly left of Rules) within Cloud Firestore and press + Start collection. Name this collection with the name of your experiment (you will later provide this exact name to the
src/utils.js
file). When prompted to add a document, provide ‘stimuli’ as the Document ID (IMPT: must be exact, case-sensitive). Do not provide a field. Press Save. You should now have a Firestore that looks similar to this:Using the + Add document button (located directly above the ‘stimuli’ document), add one document with the ID ‘ratings’ and another document with the ID ‘subjects’ (IMPT: again, must be exact, case-sensitive). Your Firestore should now look like this:
Finally, navigate to Settings by clicking the gear icon next to Project Overview in the left-hand menu, and then pressing Project settings. In the General tab, scroll down and click the blue circular HTML icon (< / >). Nickname your app with the name of your experiment, but do not add Firebase Hosting. Press Register app. When you get to Add Firebase SDK, DO NOT copy and paste the provided scripts into your app. Instead, press Continue to console. Then, under the Firebase SDK snippet, select Config (instead of CDN), and copy/paste that code snippet somewhere easy to access.  If you run out of read/write capacity within Firestore on the stock free plan, you can upgrade to a paid version. See details here.


Some of Major Organisations Providing Drug Treatment and Rehabilitation Services
| Name of Centre / Agency | Serving District | Address / Tel No. / Fax No. / Email / Website |
|---|---|---|
| Tung Wah Group of Hospitals CROSS Centre : Central Western, Southern and Islands Office |
|
Address: Room 1501-1504, Tung Ning Building, 2 Hillier Street, Sheung Wan, Hong Kong Tel. No.: 2884 0282 Fax. No.: 2884 3262 Email<EMAIL_ADDRESS>Website: crosscentre.tungwahcsd.org |
| Tung Wah Group of Hospitals CROSS Centre : Eastern and Wanchai Office |
|
Address: 9/F, TWGHs Fong Shu Chuen Social Service Building, 6 Po Man Street, Shau Kei Wan, Hong Kong Tel. No.: 2884 0282 Fax. No.: 2884 3262 Email<EMAIL_ADDRESS>Website: crosscentre.tungwahcsd.org |
| Hong Kong Lutheran Social Service Evergreen Lutheran Centre |
|
Address: 2 Horse Shoe Lane, Kwun Tong, Kowloon Tel. No.: 2712 0097 Fax. No.: 2712 9906 Email<EMAIL_ADDRESS>Website: evergreen-ccpsa.hklss.hk |
| Hong Kong Christian Service PS33 - Tsimshatsui Centre |
|
Address: 33 Granville Road, Tsim Sha Tsui, Kowloon Tel. No.: 2368 8269 Fax No.: 2739 6966 Email<EMAIL_ADDRESS>Website: www.hkcs.org/en/services/ps33tstc |
| Caritas HUGS Centre |
|
Address: Unit 41-44, G/F, Hing Shing House, Tai Hing Estate, Tuen Mun, N.T. Tel. No.: 2453 7030 Fax No.: 2453 7031 Email<EMAIL_ADDRESS>Website: http://hugs.caritas.org.hk |
| Caritas Lok Heep Club | Hong Kong Centre | Address: 12/F Southorn Centre, 130 Hennessy Road, Wan Chai, Hong Kong
Telephone: 2893 8060 Email<EMAIL_ADDRESS>Website: www.caritaslokheepclub.org.hk |
Kowloon Centre | Address: Room 1-4, G/F Yiu Tung House, Tung Tau Estate, Wong Tai Sin, Kowloon Telephone: 2382 0267 Email<EMAIL_ADDRESS>Website: www.caritaslokheepclub.org.hk |


There are marina pontoons in the southern part of the harbour.
Anchoring is now prohibited within a radius of 1.5NM from the light on the end of the sea wall at Arbatax (New ordinance: Ufficio Circulation Arbatax 35/2015 dated 15/6/15). Yachts that anchor in the prohibited zone will be fined €100.00. It is advisable to communicate first with the local Caribinieri if wishing to anchor, to determine exactly where is permitted.
Three miles north of Arbatax, is the new marina of Santa Maria Navarrese.
Last updated August 2015.


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JSCause was originally developed by Rafael Pacheco-Palencia aka eighthjouster, and released under the MIT licence (meaning, you can do whatever you want with it - both non-commercially and commercially.)
Source code
The source code is hosted on Github - available at: https://github.com/eighthjouster/jscause
Credits
JSCause uses the following technologies (thank you!):
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- Contact me on Twitter: @eighthjouster
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Create a new redux store with an initial state for sharing
initial state to create the store with
info about shared store
optional container for the store.
Get a function to create redux shared store
info about shared store
Get a saved redux store by name
name of redux store to get
- if this is true
then return the default global redux store
the container of redux stores
Initialize a container for saving shared redux stores
namedStores
will be added to the containercontainer
the store container
replaceReducer reducer on the shared redux store
reducer object
info about redux shared store
container of the shared store
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, then set as the global redux store
store content
store container
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will be added to the containerwindow
on the browsercontainer for shared redux stores
the container passed in
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FWF Data Management Plan Template (DMP)
| Data Officer | The contact person of the project is Aleksandar Pavlovic. They can be reached on the mail<EMAIL_ADDRESS>Their HTTP-ORCID is https://orcid.org/0000-0001-6887-9515. | |
| I | Data Characteristics | |
| I.1 | Description of the data | Dataset - mergedData: Internally generated dataset, that was merge from two external datasets.The distribution mergedData of the dataset is provided in the format csv and is 362bytes large.The selected repository (GitHub repository) provides versioning. |
| II | Documentation and Metadata | |
| II.1 | Metadata standards | The dataset mergedData uses the following standard (referenced by URL) http://www.dublincore.org/specifications/dublin-core/dcmi-terms/. |
| II.2 | Documentation of data | The dataset mergedData can be identified using 10.5281/zenodo.2648703, which is an HTTP-DOI.The dataset is in english. It can be found using the following keywords: "mean near surface temperature deviation", "number of live-births in Vienna".The metadata is in English. The metadata Provides an explanation of the columns of the dataset. File naming conventions (separation by underscores) were used. Furthermore a GitHub repository was used for data versioning. Also metadata was provided for this dataset, since it was internally generated.The selected repository (GitHub repository) provides versioning.The host can be identified with 10.5281/zenodo.2648771. The data is backed up never. |
| II.3 | Data quality control | File naming conventions (separation by underscores) were used. Furthermore a GitHub repository was used for data versioning. Also metadata was provided for this dataset, since it was internally generated. |
| III | Data Availability and Storage | |
| III.1 | Data sharing strategy | The dataset mergedData can be identified using 10.5281/zenodo.2648703, which is an HTTP-DOI.The dataset is licensed under https://opensource.org/licenses/MIT starting at 2019-04-22.One can access the data through https://zenodo.org/record/2648703#.XRkCdW5uLD4. The data will be available as open data. The dataset will be available until 2021-04-22. One can download the data from https://zenodo.org/record/2648703#.XRkCdW5uLD4. |
| III.2 | Data storage strategy | The dataset will be available until 2021-04-22.The data is backed up never.Should be preserved for a maximum of about 2 to 5 years, as it will get very outdated and presumably of only little interest to the public afterwards. |
| IV | Legal and Ethical Aspects | |
| IV.1 | Legal aspects | The dataset is licensed under https://opensource.org/licenses/MIT starting at 2019-04-22.Data write access control:The data is safely stored in a public GitHub repository. |
| IV.2 | Ethical aspects | The dataset does not contain personal data.The dataset does not contain sensitive data.There are no ethical issues in the project to be considered.There are no ethical issues |
| No data will be generated or analysed | The FWF recognises that some projects will not generate or analyse research data and similar materials. In these cases, a short explanation is required. |


The Port of Lyttelton (Christchurch) is located on the north side of Banks Peninsular which is broadly speaking, half way down the East Coast of the south island.
The Magazine Bay area has been left in decline for over a decade since its breakwater was removed. Following serious storm damage at the start of 2002, and subsequent earthquake damage in 2010 and 2011, Lytletton Marina should be used with caution.
The Marina offers no protection from the fierce southerly winds that blow across the harbour from Gebbies Pass and several boats have sunk during storms in recent years here.
The local Council now have responsibility for the area of land known as Naval Point and Magazine Bay. This includes the marina facilities, jetties extending to magazine Bay and the public slipway. Day-to-day maintenance of the 46 Marina berths is by the Naval Point Yacht Club.
Redevelopment plans have been proposed, to develop the marina area and build a new breakwater, however to date, nothing has been confirmed or started and the marina is in a state of disrepair. Yachts report however that it is possible to berth here if necessary (see comment at bottom of page).
Lyttleton inner harbour is small and very busy with commercial traffic. There is no room for visiting yachts
While there are some very good anchorages locally, they are in the main in bays opposite to the port of Lyttelton or just outside the main harbour. Effectively between a half and one hours motoring (5 knts) from the port or inner harbour.
Last updated January 2015.


{% include content/About/CV/Education.html %}
{% include content/About/CV/Honors.html %}
{% include content/About/CV/Professional_experience.html %}
{% include content/About/CV/Art.html %}
{% include content/About/CV/Publications.html %}
{% include content/About/CV/Talks.html %}
{% include content/About/CV/Teaching.html %}


--- layout: page weight: 100 title: Overview navigation: show: true seo: title: Email Deliverability description: Paying attention to your deliverability metrics can help optimize your delivery rate and reduce the risk of being seen as a spammer. keywords: email delivery, delivering emails, deliverability, email deliverability, email delivery optimization --- {% anchor h2 %} Email Deliverability Tips and Tricks {% endanchor %} Satisfying each of the below conditions are great steps to resolve current or potential issues with email deliverability such as spam folder delivery or blacklisting. While none of these are required, they all come highly recommend from SendGrid. {% anchor h3 %} 1. Who, What, When, Where, Why. {% endanchor %}
First and foremost, ask yourself this question: Am I sending the right message to the right person at the right time with the right frequency?
Overall Email Deliverability is influenced by how your recipients interact with your messages. If your messages are opened in a timely manner, images are displayed, and links are clicked, then mail providers will see you as a sender whose messages their recipients want to receive. If messages pile up, remain unopened, or get marked as Spam, mail providers won't be as comfortable placing your messages in the inbox, or accepting them at all!
{% anchor h2 %} 2. Adhere to Standards {% endanchor %}The second biggest factor in inbox delivery is the actual content you send in your messages. It's very important to ensure your emails meet all CAN-SPAM requirements.
Some key takeaways from CAN-SPAM:One of the most important parts of CAN-SPAM is this line:
"Tell recipients how to opt out of receiving future email from you."
All email providers look for an Unsubscribe method(or links) in all emails. Even though it may not make sense for transactional mail, it can make the difference in messages arriving in the inbox or the Spam folder. Our Subscription Tracking automatically inserts an Unsubscribe link into all your mails and maintains the Unsubscribe list. The Subscription Tracking application is available for all account levels except Legacy Lite.
Think of it this way; would you rather a recipient politely decline future emails from you, or mark your messages as Spam because they have no other option?
{% anchor h3 %} 4. Who are you? {% endanchor %}Maximum company visibility helps as well. Placing your company name in the Subject line of your emails and including your physical mailing address and phone number in your email footers helps mail providers recognize you as a legitimate company and sender of email. This also helps your recipients know that this message is indeed from you!
We've all ignored phone calls from numbers we don't recognize, the same goes for email!
{% anchor h3 %} 5. Segment your traffic {% endanchor %}Keeping your mail streams seperate can make a huge difference in the long run. Specifically, segregating your Marketing emails from your Transactional ones, and vice versa is a great way to keep legitimate mail out of trouble.
Say for example you are sending your Daily Knitting Update emails on the same account and the same IP address as your receipts, invoices, and password resets.
The day then comes where one of your recipients simply can't take it any more, and marks every single Daily Knitting email they've ever received from you as spam. Knitting overload!
The potential fallback from this is that not only will that recipient no longer receive their important receipts, invoices, and password resets, but it then becomes possible that ALL recipients at the same domain or ISP may also run afoul of the same problem. Yikes!
Consider setting up a new Subuser account with an additional dedicated IP address specifically for your marketing email, for example:
This simple division will keep your important email in the clear, even if one stream runs into trouble. Remember, don't cross the streams!
{% anchor h3 %} 6. Encourage recipients to trust you {% endanchor %}With email, things don't happen overnight, and magic wands are few and far between. So for the most part, the actions of your recipients are the highest voice of authority.
Encouraging your recipients to do certain things can help bolster the trust ISPs have for you and your messages. Some examples can include:
"Add us to your address book!" - Having a recipient add your from address you their address book or trusted senders list can go a long way. More often than not, if one of an ISPs recipients trust a sender, they will be more lenient to similar messages to different recipients! Star or Mark as important - A simple inbox action like this is just another way your recipients can tell their mail providers that "Hey, I want these messages". IP Whitelist - Some ISPs or mail admins can add rules to always allow all incoming mail from specific IP addresses! Consider reaching out to the postmaster(usually<EMAIL_ADDRESS>of problematic mail domains to see if they can white list your dedicated IP address. "If you don't receive an email right away, please check your spam folder and mark "not spam"" - Adding this simple sentence to your sign-up form area can solve a lot of potential heartache. If a message you sent ends up in the Spam folder, and the recipient manually goes in and pulls it out, that's fantastic! This not only helps an ISPs incoming mail filters in avoiding false positives, but also improves your standing with that ISP.
{% anchor h3 %} 7. Nuts and Bolts {% endanchor %} Tips for Click Tracked links Our Click Tracking application can sometimes trip up Spam Filters. If you have Click Tracking enabled, we'll replace any links within HTML <a> tags with unique links that redirect through our service. As such if you use the original link as the clickable link text in your <a> tag, when the Click Tracking link is replaced it creates irregularity between where the link appears to go and where it actually goes. For example the original link: {{site.site_url}} Gets replaced with a much longer Click Tracked link: {{site.site_url}} This is can be very similar to Phishing emails and as such may cause messages to go to the Spam Folder rather than the inbox. To get around this, use something descriptive for the link text rather than the link itself in your messages: Click to visit SendGrid {% anchor h2 %} Images and Attachments {% endanchor %} Also consider how you include images and attachments in your messages. As it is impossible to know how a receiving server treats attachments, we recommend using the HTML <img> tag to include images in your messages and we also recommend linking to hosted files rather than including them as attachments. Images must be hosted on your own or on a public facing server to be included via the HTML <img> tag. Secure site logins or credentials can be used to track who is coming to your site to download files. This helps ensure that your message gets to the recipient regardless of any attachment restrictions on the receiving mail server. {% anchor h2 %} Tools of the Trade {% endanchor %}Finally, there are some great 3rd party services you can use to get an idea of how mail providers analyze your emails: http://isnotspam.com/ AND http://www.mail-tester.com/
You can send emails to a capture address at one of these services and they will reply with a breakdown of all the positive and negative factors of your emails. This helps you isolate and fix specific issues that may be sending your email to the Spam folder rather than the inbox. These services are HIGHLY recommended for troubleshooting spam folder delivery.
Sender score is another great resource you can use to get a good idea of how the internet email community ranks the IP address you send mail from.
SendGrid has also released the article Everything You Need To Know About Email Delivery highlighting these and more deliverability tips. Our Compliance team also has a set of Recommended Sending Practices & Methods covering industry standards such as confirmation and invitation emails.


1
What is this wizardry?
Feb 3, 2016
No wizardry! Isotope is used for filtering and sorting layouts.
1
Feb 3, 2016
No wizardry! Isotope is used for filtering and sorting layouts.
2
Feb 3, 2016
You can find Isotope here. You'll also find some docs in there so make sure you read those.
Or, you can always watch this entire course and learn everything you need ;)
3
Feb 2, 2016
The easist way to install is to link directly to the Isotope files on cdnjs.
4
Feb 2, 2016
Or, you could download the files directly.
5
Feb 2, 2016
Or use bower/npm. Like this:
bower install isotope
npm install isotope-layout
6
Jan 23, 2016
If you want to use Isotope to develop commercial sites, themes, projects, and applications, the Commercial license is the appropriate license. With this option, your source code is kept proprietary.
Once purchased, you’ll receive a commercial license PDF and be all set to use Isotope in your commercial applications.
7
Jan 22, 2016
Isotope is pretty famous. Lots of code-savvy celebrities have used it: Justin Bieber, Tyler Perry, Colonel Sanders.
8
Jan 13, 2016
Apart from filtering and sorting, Isotope can produce some amazing layouts.
9
Jan 12, 2016
Isotope can hide and show item elements with the filter
option. Items that match that filter will be shown. Items that do not match will be hidden.
Filters can be combined. In addition to filtering for just .red
or .tall
, you can pass in a filter selector of both: .red.tall
.
10
Jan 11, 2016
The UI for filtering can be pretty much anything. You can use buttons, radio buttons, checkboxes or even select boxes.
11
Jan 10, 2016
You can hook filtering into the hashchange
event so that Isotope filters can be applied as links.
12
Jan 9, 2016
To sort by multiple properties, you can set sortBy
to an array. For example, sortBy: [ 'color', 'number' ]
will sort items by color, then by number.
13
Jan 2, 2016
All sizing and styling of items is handled by your own CSS.


In this notebook, we'll cover some notes on the use of Monte Carlo sampling in experimental design, both in the construction and the use of response surfaces.
We won't cover the use of Monte Carlo for constructing response surfaces just yet (we need to cover response surfaces first). But we will cover how to implement Monte Carlo sampling, and how to visualize the resulting system responses.
Monte Carlo sampling is essentially a brute-force technique in which random samples are taken until confidence that the entire space has been sampled is satisfactory.
Random numbers are used to create sampling points in each direction.
Think of Monte Carlo ray-tracing: you send out a whole bunch of rays, each in random directions, and from the result you determine the radiative flux. Mathematically, you're performing an integration by randomly sampling the function you want to integrate, then adding up all of the random samples:
$$ \int f(x) dx \approx \frac{1}{N} \sum_{i} f( x_i ) $$
So far we've been talking about expensive computer simulations and experimental systems, and trying to construct response surfaces to save us the time evaluating those functions. In this sense, Monte Carlo seems a bit out of place.
However, Monte Carlo has several uses in the context of experimental design. It is useful for systems with certain kinds of data, for which it can help construct response surfaces, and an important tool in using the constructed response surface.
So far we have talked about expensive experiments or simulations. When we say expensive, we've been implying they are expensive in resources - money, computational power, CPU cycles.
But we can also do things that are computationally very simple, but that cost us time. For exmaple, consider an industrial plant with a central control system and a large number of sensors. We don't want the central control system to put everybody's instructions on hold because it hasn't gotten every temperature from every sensor. to break dependence on lag time, we might construct a response surface model for the sensor's value, which can be verified/updated using data as it is available.
Often these types of systems will also have a plethora of data available in data warehouses, which can also be utilized as Monte Carlo data (with care).
Once we have constructed the response surface to represent our expensive system, we may need to perform an analysis that involves integration of the response surface (for example, to estimate the mean response over a range of input variable values).
Before we go through an example of Monte Carlo sampling, we'll talk about how to normalize the parameter space of the models to make regression easier.
For a distribution that is a function of $m$ variables $x_1, \dots, x_m$:
Each variable has its own range, $\alpha_i \leq x_i \leq \beta_i$
This range must be converted to $[0,1]$ by normalizing $x_i$:
$$ \hat{x}_i = \frac{ x_i - \alpha_i }{ \beta_i - \alpha_i } $$
so that
$$ x_i \in \left[ 0, 1 \right] \forall i = 1 \dots m $$
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pprint import pprint
def get_hat(x, log=False):
"""Given a non-normalized vector x
with N elements between a and b,
return a normalized vector xhat
with N elements between 0 and 1.
"""
a = x[0]
b = x[-1]
if(log):
a = np.log10(a)
b = np.log10(b)
x = np.log10(x)
xhat = (x-a)/(b-a)
return xhat
def get_nohat(xhat, a, b):
"""Given a normalized vector xhat
with N elements between 0 and 1,
return a non-normalized vector x
with N elements between a and b.
"""
x = (b-a)*xhat + a
return x
def func1():
a = -150
b = 750
N = 15
x = np.linspace(a,b,N)
#xhat = (x - a)/(b - a)
xhat = get_hat(x)
print("x:")
print(x)
print("-"*20)
print("xhat:")
print(xhat)
func1()
If you're using a log scale, i.e. sampling logarithmically more at $\alpha$ than $\beta$:
$$ \hat{x}_i = \frac{ \log{(x_i)} - \log{(\alpha_i)} }{ \log{(\beta_i)} - \log{(\alpha_i)} } $$
def func2():
a = 10
b = 1000
N = 15
x = np.logspace(np.log10(a), np.log10(b), N)
#xhat = (np.log10(x) - np.log10(a))/(np.log10(b) - np.log10(a))
xhat = get_hat(x, log=True)
print("x (logarithmic):")
pprint(x)
print("-"*20)
print("xhat (linear):")
pprint(xhat)
func2()
In general a sample of uniform random numbers of dimensionality $d \times n$, where $d$ is the input vector dimensionality and $n$ is the number of random Monte Carlo samples, is created between a lower and upper bound. (Note that depending on how we define parameter uncertainty we may want these to be normally distributed variables.)
The system response function $f(x_i)$ is evaluated to obtain the system response quantity $y$.
The random input vector and its corresponding output vector are saved.
We'll look at a few examples implementing MC (though we won't yet cover response surface applications). Two examples:
We will consider a two dimensional black box function and how we can utilize Monte Carlo to answer some of the following questions:
The black box system response function we'll consider is a function of two input variables:
$$ y = f(x_1,x_2) = \cos \left( \sqrt{x_1}\sqrt{x_2} \right) $$
over the domain $x_1 \in [0,1], x_2 \in [0,1]$.
def f(x1, x2):
return np.cos(np.sqrt(x1)*np.sqrt(x2))
def plot_response_contourf():
N = 20
x1 = np.linspace(0,1,N)
x2 = np.linspace(0,1,N)
# For labeling/evaluating function
X1,X2 = np.meshgrid(x1,x2)
# Contour plot of f(x,y)
fig = plt.figure(figsize=(6,4))
ax = fig.add_subplot(1,1,1)
c = ax.contourf(X1, X2, f(X1,X2), cmap='binary')
ax.set_title('Analytical System Response Function')
ax.set_xlabel(r'$x_1$')
ax.set_ylabel(r'$x_2$')
ax.set_aspect('equal')
plt.colorbar(c)
plt.show()
plot_response_contourf()
Next we'll make a 3D scatterplot of 10,000 random Monte Carlo samples of $f(x_1, x_2)$, to illustrate how to get a sense of the sense of the response surface shape without an analytical expression.
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def sample_response(N = 10):
"""Generate N random MC samples of (x,y) space"""
# Sample space: x1 in [0,1], x2 in [0,1]
# (Otherwise, would need to do re-scaling before return)
# Generate N random (x,y) values between 0 and 1
return np.random.uniform(0, 1, size=(2,N))
def plot_response_MCscatter():
# ----------------------
# Generate MC samples for scatter points
N = 10000
rv = sample_response(N)
xx1 = rv[0,:]
xx2 = rv[1,:]
yy = f(xx1,xx2)
# ----------------------
# Generate analytical function for wireframe plot
N = 20
x1 = np.linspace(0,1,N)
x2 = np.linspace(0,1,N)
X1,X2 = np.meshgrid(x1,x2)
# ----------------------
# Plot the analytical and Monte Carlo results
fig = plt.figure(figsize=(8,6))
ax = fig.add_subplot(111, projection='3d')
# Purple wireframe = analytical response surface
ax.plot_wireframe(X1, X2, f(X1, X2),
alpha=0.3,
color='purple',
label="Analytical")
# Blue scatterplot = MC samples
ax.scatter(xx1, xx2, yy, s=0.3,
label="MC", linewidths=1)
ax.view_init(elev=50., azim=200)
ax.set_xlabel(r'$x_1$')
ax.set_ylabel(r'$x_2$')
ax.set_zlabel(r'$y$')
ax.legend()
ax.set_title("Monte Carlo Samples \nPlus Analytical System Response")
plt.show()
plot_response_MCscatter()
Now let's look at a more complicated function from a heat transfer application. As a reminder, $x$ and $y$ are parameters for the system response $f(x_1,x_2)$, and the function is being sampled with Monte Carlo. Here we will look at a system response $f(x_1, x_2)$ that is an integrated quantity (that is, evaluating $f(x_1, x_2)$ involves integrating a differential equation).
(heat = energy transfer)
Consider the energy balance over a system that has a single uniform temperature $T$ and is characterized by some time scale $t_0$.
Now introduce normalized system temperature $\theta = \dfrac{T - T_0}{T_1 - T_0}$ and normalized time $\tau = \dfrac{t}{t_0}$.
From an energy balance (via the First Law of Thermodynamics), we know:
$$ dE = dQ + dE \\ \dfrac{dE}{dt} = \dot{Q} + \dot{W} $$
That is, the system temperature changes due to heat and work being added or removed from the system. If we consider a perfectly insulated container at a uniform initial temperature, there is no heat exchanged with the surroundings and the system does no work so the temperature stays constant.
(Note: the system is closed with respect to mass flow, so use closed version of First Law.)
Now suppose a heat exchanger is suddenly introduced at time $t = 0$. This heat exchanger allows the system to exchange energy with its surroundings (imagine a container of hot gas, with a thick insulated covering over a glass window. If the cover is suddenly removed so that the inside of the container can be observed, the system suddenly begins to lose energy to its surroundings.)
Via Newton's Law of Cooling, the heat flux through the heat exchanger or glass window is given by:
$$ \dot{Q} = - h A ( T_{system} - T_{ambient}) $$
where a negative $\dot{Q}$ indicates heat leaves the system. (If the system temperature is higher than the ambient temperature, the system will lose heat and the system temperature will decrease.)
If we consider an insulated container at uniform temperature, we can think about a physical analgoy to a sudden temperature sink being introduced.
If we consider a vessel with a glass viewport, covered with a thick insulated flap, the vessel would normally be adiabatic and the viewport covered. However, if the flap suddenly opened to look into the viewport, a heat sink term that is modeled using the equation above (gradient-based transport) would apply to the non-insulated portions.
into which a heat source or sink is introduced, the differential equation describing the temperature change is:
$$ \dfrac{d \theta}{dt} = \beta \theta $$
where $\beta$ is a heat transfer coefficient. For this simple differential equation we can still obtain an analytical solution for temperature after time $t$,
$$ \ln \left( \dfrac{ \theta(t) }{ \theta(0) } \right) = - \beta $$
or,
$$ \theta(t) = \theta_0 \exp \left( - \beta t \right) $$
where $\theta_0 = \theta(t=0)$.
However, in general we are interested in evaluating functions too complex to integrate analytically, so we utilize an approximation technique that only involves evaluating the function numerically to integrate it:
$$ \dfrac{d \theta}{dt} \approx \dfrac{\Delta \theta}{\Delta t} = \dfrac{\theta_{i+1} - \theta_i}{\Delta t} $$
Now if we set that equal to the right side of $\frac{d \theta}{d t} = \beta \theta$, and write it for every single time step, and sum them all up over the $N_t$ timesteps over the entire time period $t_0$ to $t_f$, we get an approximation of the exact integral of the RHS $\beta \theta$:
$$ \theta_f = \theta_0 + \sum_{j=1}^{N_t} \beta_j \theta_j \Delta t_j $$
where $N_t = \dfrac{t}{\Delta t}$.
To summarize: the analytical expression we use for the temperature as a function of time comes from the integrated form of the differential energy balance; the numerical approximation comes from applying a simple backward difference scheme to the time derivative in the original differential equation. The former is more accurate but not always available, so we're mainly interested in the latter for its robustness.
Analytical:
$$ \theta(t) = \theta_0 \exp \left( - \beta t \right) $$
Numerical:
$$ \theta(t) \approx \theta_0 + \sum_{j=1}^{N_t} \beta_j \theta_j \Delta t_j $$
We still need to relate the energy balance to the input parameters and the system response function $f(x_1, x_2)$.
The system response we are interested in is the integrated system temperature after some fixed time window (arbitrarily say, $t=2$):
$$ f(x_1, x_2) = \theta(t) = \theta_0 \exp \left( - \beta t \right) $$
The two input parameters to the model:
The input parameter $x_1$ can be used as the value of $\theta(0)$:
$$ \theta_0 = x_1 $$
$x_1 = 0$ corresponds to an initial temperature of $T_0$, while $x_1 = 1$ corresponds to an initial temperature of $T_1$.
The input parameter $x_2$ can be used to control the heat transfer coefficient. Heat transfer coefficient correlations often take the form of rational functions, so we use the following rational function for $\beta(x_2)$:
$$ \beta = \dfrac{x_2^2}{1 + x_2^2} $$
The final right-hand side for the analytical version is therefore:
$$ f(x_1, x_2) = \theta(t) = x_1 \exp \left( - \left( \dfrac{ x_2^2 }{1 + x_2^2} \right) t \right) $$
The right-hand side for the numerical version is:
$$ f(x_1, x_2) = \theta(t) = \theta_0 + \int_{0}^{t} \beta t' dt' $$
Approximated via:
$$ f(x_1, x_2) \approx x_1 + \left( \dfrac{ x_2^2 }{1 + x_2^2} \right) \Delta t \sum_{j=1}^{N_t} \theta_j $$
or, replacing the numerical integral approximation with a call to the odeint
function from scipy, this becomes:
$$ f(x_1, x_2) \approx x_1 + \mbox{odeint}\left( \mbox{RHS}, \theta_0, t, \dots \right) $$
from scipy.integrate import odeint
def beta(x):
return (x**2)/(1+x**2)
def rhs(theta, t, x1, x2):
"""Computes the RHS of derivative of theta at t"""
return -beta(x2)*theta
def solve_ht_rhs(x1,x2):
y0 = x1
b = beta(x2)
tf = 2
Nt = 1000
t = np.linspace(0, tf, Nt)
soln = odeint(rhs, y0, t, args=(x1,x2))
return t, soln
def eval_ht_rhs(x1,x2):
tf = 2
Nt = 1000
t = np.linspace(0, tf, Nt)
return t, x1*np.exp(-beta(x2)*t)
t, theta = solve_ht_rhs(1,1)
t, theta_e = eval_ht_rhs(1,1)
fig, ax = plt.subplots(1,1,figsize=(5,3))
ax.plot(t, theta, '-')
ax.plot(t, theta_e, '-')
ax.set_xlabel(r'$t$')
ax.set_ylabel(r'$\theta$')
ax.set_title("Non-Dimensional Temperature vs. Time")
plt.show()
The numerical and analytical outcomes of the integrated time-temperature profile overlap nearly exactly.
However, it is important to note that this is still not quite to the $f(x_1, x_2)$ function we really want. That function $f$ should not return the entire time-temperature history of the system, but rather should only return the final time-temperature state of the reactor.
def beta(x):
return (x**2)/(1+x**2)
def rhs(theta, t, x1, x2):
"""Computes the RHS of derivative of theta at t"""
return -beta(x2)*theta
def f_ht_solve(x1, x2):
"""System response function for
single pair of input values.
Returns integrated non-dim temperature (theta)
after 2 time units.
Called by f_ht_solve_grid().
"""
tf = 2
Nt = 1000
t = np.linspace(0, tf, Nt)
y0 = x1
b = beta(x2)
solution = odeint(rhs, y0, t, args=(x1, x2))
solution = np.squeeze(solution)[-1]
return solution
def f_ht_solve_grid(x1s,x2s):
"""System response function for
input vectors x1, x2 coming in from
a meshgrid function call.
Returns values of f(x1,x2) on the
same meshgrid.
"""
# Create container for solutions,
# same size as inputl
solutions = np.zeros(np.shape(x1s))
for i in range(np.shape(x1s)[0]):
for j in range(np.shape(x1s)[1]):
x1 = x1s[i][j]
x2 = x2s[i][j]
solutions[i][j] = f_ht_solve(x1,x2)
return solutions
def f_ht_eval(x1,x2):
"""Returns analytical system response function
for heat transfer system (non-dimensionalized
temperature theta after t = 2 time units).
"""
tf = 2
Nt = 1000
t = np.linspace(0, tf, Nt)
y = x1*np.exp(-beta(x2)*t)
return y[-1]
def f_ht_eval_grid(x1s,x2s):
"""Returns analytical system response function
for input vectors x1, x2 coming in from
a meshgrid function call.
Returns values of f(x1,x2) on the
same meshgrid.
"""
# Create container for solutions,
# same size as inputl
solutions = np.zeros(np.shape(x1s))
for i in range(np.shape(x1s)[0]):
for j in range(np.shape(x1s)[1]):
x1 = x1s[i][j]
x2 = x2s[i][j]
solutions[i][j] = f_ht_eval(x1,x2)
return solutions
Now that we have defined the right hand side $f(x_1, x_2)$, we can test out how it is supposed to work. We should be able to pass input parameters $x_1, x_2$ in, and get a single value out - the integrated, non-dimensional temperature $\theta(t)$ after $t = 2$ time units.
print("These should both be ~0.35 (see graph above)")
print("and should be approximately equal:")
print(f_ht_solve(1,1))
print(f_ht_eval(1,1))
def plot_ht_response_contourf():
N = 20
x1 = np.linspace(0,1,N)
x2 = np.linspace(0,1,N)
# For labeling/evaluating function
X1,X2 = np.meshgrid(x1,x2)
# Contour plot of f(x,y)
fig = plt.figure(figsize=(6,4))
ax = fig.add_subplot(1,1,1)
c = ax.contourf(X1, X2, f_ht_solve_grid(X1,X2), cmap='binary')
ax.set_title('Heat Transfer System Response Function \n(Numerical)')
ax.set_xlabel(r'$x_1$')
ax.set_ylabel(r'$x_2$')
ax.set_aspect('equal')
plt.colorbar(c)
plt.show()
plot_ht_response_contourf()
def plot_ht_response_MCscatter():
# ----------------------
# Generate MC samples for scatter points
N = 10000
rv = sample_response(N)
xx1 = rv[0,:]
xx2 = rv[1,:]
yy = f_ht_solve(xx1,xx2)
# ----------------------
# Generate analytical function for wireframe plot
N = 20
x1 = np.linspace(0,1,N)
x2 = np.linspace(0,1,N)
X1,X2 = np.meshgrid(x1,x2)
# ----------------------
# Plot the analytical and Monte Carlo results
fig = plt.figure(figsize=(8,6))
ax = fig.add_subplot(111, projection='3d')
# Purple wireframe = analytical response surface
ax.plot_wireframe(X1, X2, f_ht_eval_grid(X1, X2),
alpha=0.3,
color='purple',
label="Analytical")
# Blue scatterplot = MC samples
ax.scatter(xx1, xx2, yy, s=0.3,
label="MC", linewidths=1)
ax.view_init(elev=35., azim=220)
ax.set_xlabel(r'$x_1$')
ax.set_ylabel(r'$x_2$')
ax.set_zlabel(r'$y$')
ax.legend()
ax.set_title("Heat Transfer Problem: \n"
"Monte Carlo Samples \n"
"Plus Analytical System Response")
plt.show()
plot_ht_response_MCscatter()


Gecode::Int::GCC::Dom< View, Card, isView > Class Template Reference
[Integer propagators]
#include <gcc.hh>
Inherits Gecode::Propagator.
Detailed Description
template<class View, class Card, bool isView>
class Gecode::Int::GCC::Dom< View, Card, isView >
Domain consistent global cardinality propagator.
- [Reference]
- The algorithm is taken from:
@PROCEEDINGS{improvedgcc, title = {Improved Algorithms for the Global Cardinality Constraint}, year = {2004}, volume = {3528}, address = {Toronto, Canada}, month = {September}, author = {Claude-Guy Quimper and Peter van Beek and Alejandro López-Ortiz and Alexander Golynski}, booktitle = {Proceedings of the 10th International Conference on Principles and Practice of Constraint Programming}, url = {http://ai.uwaterloo.ca/~vanbeek/publications}, }
#include "gecode/int/gcc.hh"
Definition at line 207 of file gcc.hh.
Public Member Functions | |
| virtual size_t | dispose (Space *home) |
| Destructor including deallocation of variable-value graph. | |
| virtual size_t | allocated (void) const |
| Return how much extra memory is allocated by the propagator. | |
| virtual Actor * | copy (Space *home, bool share) |
| Copy propagator during cloning. | |
| virtual PropCost | cost (ModEventDelta med) const |
| Cost function. | |
| virtual ExecStatus | propagate (Space *home, ModEventDelta med) |
| Perform propagation. | |
| virtual Reflection::ActorSpec | spec (const Space *home, Reflection::VarMap &m) const |
| Specification for this propagator. | |
Static Public Member Functions | |
| static void | post (Space *home, Reflection::VarMap &vars, const Reflection::ActorSpec &spec) |
| Post propagator according to specification. | |
| static Support::Symbol | ati (void) |
| Name of this propagator. | |
| static ExecStatus | post (Space *home, ViewArray< View > &x, ViewArray< Card > &k) |
| Post propagator for views x and cardinalities k. | |
Protected Member Functions | |
| Dom (Space *home, bool share, Dom< View, Card, isView > &p) | |
| Constructor for cloning p. | |
| Dom (Space *home, ViewArray< View > &, ViewArray< Card > &, bool) | |
| Constructor for posting. | |
Protected Attributes | |
| ViewArray< View > | x |
| Views on which to perform domain-propagation. | |
| ViewArray< View > | y |
Views used to channel information between x and k (). | |
| ViewArray< Card > | k |
| Array containing either fixed cardinalities or CardViews. | |
| VarValGraph< View, Card, isView > * | vvg |
| Propagation is performed on a variable-value graph (used as cache). | |
| bool | card_fixed |
| Stores whether cardinalities are all assigned. |
Constructor & Destructor Documentation
template<class View, class Card, bool isView>
| Gecode::Int::GCC::Dom< View, Card, isView >::Dom | ( | Space * | home, | |
| bool | share, | |||
| Dom< View, Card, isView > & | p | |||
| ) | [inline, protected] |
template<class View, class Card, bool isView>
| Gecode::Int::GCC::Dom< View, Card, isView >::Dom | ( | Space * | home, | |
| ViewArray< View > & | x0, | |||
| ViewArray< Card > & | k0, | |||
| bool | cf | |||
| ) | [inline, protected] |
Member Function Documentation
template<class View, class Card, bool isView>
| size_t Gecode::Int::GCC::Dom< View, Card, isView >::dispose | ( | Space * | home | ) | [inline, virtual] |
template<class View, class Card, bool isView>
| size_t Gecode::Int::GCC::Dom< View, Card, isView >::allocated | ( | void | ) | const [inline, virtual] |
template<class View, class Card, bool isView>
| Actor * Gecode::Int::GCC::Dom< View, Card, isView >::copy | ( | Space * | home, | |
| bool | share | |||
| ) | [inline, virtual] |
template<class View, class Card, bool isView>
| PropCost Gecode::Int::GCC::Dom< View, Card, isView >::cost | ( | ModEventDelta | med | ) | const [inline, virtual] |
Cost function.
As the propagation stronlgy depends on the domain size of the views on which propagation is performed, the propagation costs are computed as follows, where d
denotes the size of the largest domain of a view in x:
- dynamic PC_LINEAR_LO ( )
- dynamic PC_LINEAR_HI ( )
- dynamic PC_QUADRATIC_LO ( )
- dynamic PC_CUBIC_LO ( )
Implements Gecode::Propagator.
template<class View, class Card, bool isView>
| ExecStatus Gecode::Int::GCC::Dom< View, Card, isView >::propagate | ( | Space * | home, | |
| ModEventDelta | med | |||
| ) | [inline, virtual] |
template<class View, class Card, bool isView>
| Reflection::ActorSpec Gecode::Int::GCC::Dom< View, Card, isView >::spec | ( | const Space * | home, | |
| Reflection::VarMap & | m | |||
| ) | const [inline, virtual] |
template<class View, class Card, bool isView>
| void Gecode::Int::GCC::Dom< View, Card, isView >::post | ( | Space * | home, | |
| Reflection::VarMap & | vars, | |||
| const Reflection::ActorSpec & | spec | |||
| ) | [inline, static] |
template<class View, class Card, bool isView>
| Support::Symbol Gecode::Int::GCC::Dom< View, Card, isView >::ati | ( | void | ) | [inline, static] |
template<class View, class Card, bool isView>
| ExecStatus Gecode::Int::GCC::Dom< View, Card, isView >::post | ( | Space * | home, | |
| ViewArray< View > & | x, | |||
| ViewArray< Card > & | k | |||
| ) | [inline, static] |
Member Data Documentation
template<class View, class Card, bool isView>
ViewArray<View> Gecode::Int::GCC::Dom< View, Card, isView >::x [protected] |
template<class View, class Card, bool isView>
ViewArray<View> Gecode::Int::GCC::Dom< View, Card, isView >::y [protected] |
template<class View, class Card, bool isView>
ViewArray<Card> Gecode::Int::GCC::Dom< View, Card, isView >::k [protected] |
template<class View, class Card, bool isView>
VarValGraph<View, Card, isView>* Gecode::Int::GCC::Dom< View, Card, isView >::vvg [protected] |
template<class View, class Card, bool isView>
bool Gecode::Int::GCC::Dom< View, Card, isView >::card_fixed [protected] |
The documentation for this class was generated from the following files:
- gecode/int/gcc.hh (Revision: 7285)
- gecode/int/gcc/dom.icc (Revision: 7289)


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Dominic Panzino
I use this simple website for showing some of my projects. Most of these are purely personal projects, done for fun and self-improvement. Projects done for school or employment are noted as such.
For more information on any of these projects, or any other reson, I can be contacted at<EMAIL_ADDRESS>Last Updated: Feb 26, 2022
|
AUV Buoyancy-Control System: (Fall 2021-Spring 2022)* I developed a buoyancy-control system while serving as the Project Manager of the DOUG LE-1000 autonomous underwater vehicle project at MIT.     |
Barn/Warehouse Construction: (Fall 2020-Spring 2021) Construction of a barn for storage.     |
Sawmill Shelter Construction: (Summer 2020) Construction of a shelter over the sawmill to protect it from the elements.     |
|
Player Piano MIDI Upgrade: (Fall & Winter 2019) Modifying an 1910s-era pnumatic player piano to be able to also be played by a computer via MIDI file.     |
Refurbishing a 1948 Farquhar Sawmill: (2016-2017) A 60" circular sawmill. Salvaged after being abandoned in a collapsed building and rebuilt.     |
|
Abrasive Ejector Pin Saw: (Fall 2021)* Made a miniature abrasive cutoff saw with a simple jig for trimming ejector pins to exact lengths     |
Building a Touch Probe: (Summer 2020) Making my own contact probe for a CMM or for our CNC machine.     |
Turbomolecular Pump: (Spring 2020) Designing and making a turbomolecular pump to obtain extremely low vaccuums for future projects.     |
|
Manual Tool Setter: (Winter 2019-2020) Building a setup to hold a dial test indicator for setting Z-offsets on old CNC machines.     |
Turbo Spindle MkI: (Summer 2018) A small air turbine designed for high-RPM tools like carbide burs.     |
Peerless Watchmaking Lathe Rebuild: (Winter 2016-2017) I add a carriage, cross-slide, toolpost, leadscrews, and dials to an old watchmaking lathe.     |
|
Flapper-locked Pistol: (Summer 2021) An attempted flapper-locked pistol in 9mm Luger, modeled on the Mauser 06/08.     |
BF-762: (Spring 2020-WIP) A belt-fed, toggle-locked, gas-operated, semi-auto LMG in 7.62x39mm.     |
TC45: (Summer 2019) A toggle-delayed blowback .45ACP carbine modeled on the Thompson submachine gun.     |
|
C32: (Fall 2018) A .32ACP, blowback-operated, semi-automatic pistol modeled on the Mauser C96.     |
The Rolling Block: (Summer 2017) A multi-caliber weapon platform, using the eponymous Remington Rolling Block action.     |
W22: (Spring 2017) A .22LR single-action 6-shot top-break revolver modeled on the Webley Mk VI.     |
|
Z1: (Fall 2016) My first firearm, a 12ga. O/U double-barrel, tilting-block shotgun.   |
"Antique" 3x Rifle Scope: (Spring 2017) A 3x magnification rifle scope designed to mimic early designs' appearence.     |
Parkerizing Tank: (Summer 2019) A stainless steel tank and heaters for phosphate conversion coating of steel parts.     |
|
Hermle CAT-40 and NMTB-40 Pull Studs (Summer 2020) Making my own pull studs for our Hermle to use with CAT-40 and NMTB-40 tool holders     |
Insert Endmill (Summer 2020) Making my own endmill that uses carbide inserts.     |
Hermle Monitor Conversion Circuit (Spring 2020) Making a circuit to convert Hermle's proprietary CRT signals into standard VGA signals for use with a standard computer monitor.     |
|
Building a Rotary Broach holder: (Winter 2019-2020) Building a rotary broach holder and broaches.     |
Mead Brewing: (Fall 2019) Making wine from honey in the comfort of my dorm room.     |
Gyroscope and Gimbals: (Fall 2016) A cute gyroscope and gimbal set built as fun toy.     |
|
Hard-piped Keurig Coffee Maker (c. 2016?) I got sick of refilling the water for our coffee machine, so I tap into the house water supply.     |
*Project was done for an employer
**Project was done as part of coursework at MIT


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12.6 Implementation and Analysis of
Quicksort
Quicksort works
fundamentally by recursively partitioning an unsorted set of
elements until all partitions contain a single element. In the
implementation presented here, data initially
contains the unsorted set of size elements
stored in a single block of contiguous storage. Quicksort
sorts in place, so all partitioning is performed in
data as well. When qksort returns, data
is completely sorted.
As we have seen, an important part of
quicksort is how we partition the data. This task is performed
in the function partition (see
Example
12.2) . This function partitions the elements
between positions i and k in
data, where i is less than
k.
We begin by selecting a partition value using
the median-of-three method mentioned earlier. Once the
partition value has been selected, we move from
k to the left in data until we
find an element that is less than or equal to it. This element
belongs in the left partition. Next, we move from
i to the right until we find an element that
is greater than or equal to the partition value. This element
belongs in the right partition. Once two elements are found in
the wrong partition, they are swapped. We continue in this way
until i and k cross. (You may
want to consider how we know that if any one element is in the
wrong partition, there is always one that can be swapped with
it.) Once i and k cross, all
elements to the left of the partition value are less than or
equal to it, and all elements to the right are greater (see Figure
12.2).
Now we look at how the recursion proceeds in
qksort (see Example
12.2). On the initial call to qksort, i is set to
and k is set to size - 1. We
begin by calling partition to
partition data between positions
i and k. When partition returns, j
is assigned the position of the element that defines where the
elements between i and k are
partitioned. Next, we call qksort recursively for the left
partition, which is from position i to
j. Sorting left partitions continues
recursively until an activation of qksort is passed a partition
containing a single element. In this activation,
i will not be less than k, so
the call terminates. In the previous activation of qksort, this causes an iteration to
the right partition, from position j + 1 to
k. Overall, we continue in this way until the
first activation of qksort
terminates, at which point the data is completely sorted (see
Figure
12.3).
The analysis of quicksort centers around its
average-case performance, which is widely accepted as its
metric. Even though the worst case of quicksort is no better
than that of insertion sort, O
(n2), quicksort
reliably performs much closer to its average-case running
time, O (n lg n), where n is the number of elements being
sorted.
Determining the runtime complexity for the
average case of quicksort depends on the assumption that there
will be an even distribution of balanced and unbalanced
partitions. This assumption is reasonable if the
median-of-three method for partitioning is used. In this case,
as we repeatedly partition the array, it is helpful to picture
the tree shown in Figure
12.3, which has a height of (lg n) + 1. Since for the top lg n levels of the tree, we must
traverse all n elements in
order to form the partitions of the next level, quicksort runs
in time O (n lg n). Quicksort sorts in place, so its
space requirement is only that occupied by the data to be
sorted.
Example 12.2.
Implementation of Quicksort /*****************************************************************************
* *
* ------------------------------- qksort.c ------------------------------- *
* *
*****************************************************************************/
#include <stdlib.h>
#include <string.h>
#include "sort.h"
/*****************************************************************************
* *
* ------------------------------ compare_int ----------------------------- *
* *
*****************************************************************************/
static int compare_int(const void *int1, const void *int2) {
/*****************************************************************************
* *
* Compare two integers (used during median-of-three partitioning). *
* *
*****************************************************************************/
if (*(const int *)int1 > *(const int *)int2)
return 1;
else if (*(const int *)int1 < *(const int *)int2)
return -1;
else
return 0;
}
/*****************************************************************************
* *
* ------------------------------- partition ------------------------------ *
* *
*****************************************************************************/
static int partition(void *data, int esize, int i, int k, int (*compare)
(const void *key1, const void *key2)) {
char *a = data;
void *pval,
*temp;
int r[3];
/*****************************************************************************
* *
* Allocate storage for the partition value and swapping. *
* *
*****************************************************************************/
if ((pval = malloc(esize)) == NULL)
return -1;
if ((temp = malloc(esize)) == NULL) {
free(pval);
return -1;
}
/*****************************************************************************
* *
* Use the median-of-three method to find the partition value. *
* *
*****************************************************************************/
r[0] = (rand() % (k - i + 1)) + i;
r[1] = (rand() % (k - i + 1)) + i;
r[2] = (rand() % (k - i + 1)) + i;
issort(r, 3, sizeof(int), compare_int);
memcpy(pval, &a[r[1] * esize], esize);
/*****************************************************************************
* *
* Create two partitions around the partition value. *
* *
*****************************************************************************/
i--;
k++;
while (1) {
/**************************************************************************
* *
* Move left until an element is found in the wrong partition. *
* *
**************************************************************************/
do {
k--;
} while (compare(&a[k * esize], pval) > 0);
/**************************************************************************
* *
* Move right until an element is found in the wrong partition. *
* *
**************************************************************************/
do {
i++;
} while (compare(&a[i * esize], pval) < 0);
if (i >= k) {
/***********************************************************************
* *
* Stop partitioning when the left and right counters cross. *
* *
***********************************************************************/
break;
}
else {
/***********************************************************************
* *
* Swap the elements now under the left and right counters. *
* *
***********************************************************************/
memcpy(temp, &a[i * esize], esize);
memcpy(&a[i * esize], &a[k * esize], esize);
memcpy(&a[k * esize], temp, esize);
}
}
/*****************************************************************************
* *
* Free the storage allocated for partitioning. *
* *
*****************************************************************************/
free(pval);
free(temp);
/*****************************************************************************
* *
* Return the position dividing the two partitions. *
* *
*****************************************************************************/
return k;
}
/*****************************************************************************
* *
* -------------------------------- qksort -------------------------------- *
* *
*****************************************************************************/
int qksort(void *data, int size, int esize, int i, int k, int (*compare)
(const void *key1, const void *key2)) {
int j;
/*****************************************************************************
* *
* Stop the recursion when it is not possible to partition further. *
* *
*****************************************************************************/
while (i < k) {
/**************************************************************************
* *
* Determine where to partition the elements. *
* *
**************************************************************************/
if ((j = partition(data, esize, i, k, compare)) < 0)
return -1;
/**************************************************************************
* *
* Recursively sort the left partition. *
* *
**************************************************************************/
if (qksort(data, size, esize, i, j, compare) < 0)
return -1;
/**************************************************************************
* *
* Iterate and sort the right partition. *
* *
**************************************************************************/
i = j + 1;
}
return 0;
} |


[§342I-7] Entry and inspection of records. The director of health may enter and inspect any building or place for the purpose of:
(1) Investigating an actual or suspected violation of this part;
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| Methods |
public
|
__construct(
string $name,
string|null $value = null,
mixed $expires = 0,
string $path = '/',
string|null $domain = null,
bool $secure = false,
bool $httpOnly = true,
bool $raw = false,
string $sameSite = 'lax',
)
Cookie item Constructor
|
#
|
public
|
reset(
string $name,
string|null $value = null,
mixed $expires = 0,
string $path = '/',
string|null $domain = null,
bool $secure = false,
bool $httpOnly = true,
bool $raw = false,
string $sameSite = 'lax',
): void
Initialize or reset cookie object.
Initialize or reset cookie object.
|
#
|
public
static
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fromString(string $cookie, bool $decode = false): Cookie
Build cookie from raw header.
Build cookie from raw header.
|
#
|
public
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hasValue(): bool
Check if cookie has a value.
Check if cookie has a value.
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#
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public
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isExpired(): bool
Check if cookie is expired.
Check if cookie is expired.
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#
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public
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__toString(): string
Return cookie object as string.
Return cookie object as string.
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#
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public
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isRaw(): bool
Check if we are url encoding.
Check if we are url encoding.
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#
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public
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getName(): string
Get the cookie name.
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#
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public
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setName(string $name): $this
Set the cookie name.
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#
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public
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getValue(): string|null
Get the cookie value.
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#
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public
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setValue(string|null $value): $this
Set cookie value.
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#
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public
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getExpires(): int
Get the cookie expire.
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#
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public
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getExpiresAsDate(): string
Get the cookie expire as date string.
Get the cookie expire as date string.
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#
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public
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getAge(): int
Get the cookie max-age
|
#
|
public
|
getPath(): string
Get the cookie path.
|
#
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public
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getDomain(): string|null
Get the cookie domain
|
#
|
public
|
isSecure(): bool|null
Check if cookie is http secure.
Check if cookie is http secure.
|
#
|
public
|
setSecure(bool $mode = true): $this
Set cookie http secure
|
#
|
public
|
isHttpOnly(): bool|null
Check if cookie is http only.
Check if cookie is http only.
|
#
|
public
|
getSameSite(): string
Get the cookie samesite
|
#
|


Calculate your loan repayment schedule
You have a total of {{ info.numPeriods | number }} {{ info.frequencyTxt | lowercase }} payments of {{ info.paymentAmt || 0 | currency }}, or {{ info.monthlyPayment || 0 | currency }}/month.
You pay {{ info.monthlyInterest || 0 | currency }} in interest, on average, every month.
You save {{ info.savingsPerYr || 0 | currency }}/year in interest over the life of the loan compared to a monthly payment.
You have a total loan payment of {{ info.totalPayment || 0 | currency }} and accrue a total interest of {{ info.totalInterest || 0 | currency }} ({{ info.totalIntPercentage | number:2 }}%) over the life of the loan.
| # | Payment | Interest | Principal | Balance |
|---|---|---|---|---|
| {{ p.paymentIndex }} | {{ p.amount | currency }} | {{ p.interest | currency }} | {{ p.principal | currency }} | {{ p.balance | currency }} |


But what is compactness, and why should we care about districts having nice shapes? Compactness is a quantitative measure of a district's shape and how tightly packed, or compact, the region is. Remember that the function of a political district is to elect someone that represents the people, needs, and interests of an area. A district over a more compact area is likely to include towns and communities with similar interests, while a district that zigs and zags across a state is more likely to intentionally exclude certain groups of people and connect regions with different local interests. In fact, most states include language emphasizing the importance of “compactness” of their districts but lack a definition or a way to measure this characteristic.
in-context


Contact Us
If you have any inquiries, you can contact us at<EMAIL_ADDRESS>or find us on Facebook !
Sponsor Teacher:
Ms. Clowers
Board of Directors:
President: Jeffrey Peng
Vice President: Jason Wong
Presidential Advisor: Jeffrey Fan
Information Technology: Jennifer Wu
Secretary: Brenden Chau
Vice Secretary: Jason Yuan
Treasurer: Bryan Xu
Internal Affairs: Ansley Wong
Vice Internal Affairs: Daniel He
External Affairs: Sean Chen


Christian McCaffrey earns elite 99 Madden rating
by WBTV Web StaffCHARLOTTE, N.C. (WBTV) - Carolina Panthers running back Christian McCaffrey already finds himself in the thick of the NFL MVP race.
Now he can add another personal accolade to his long list of accomplishments.
The 23-year-old Stanford product became the youngest player to collect a 99 rating on Madden, the popular NFL video game, according to a press release from the game.
McCaffrey started the season with a 91 overall rating. But his mark has steadily climbed with increasingly strong performances.
Through 10 games, McCaffrey leads the league in rushing (1,059 yards), is tied for the league lead in rushing touchdowns (11) and has an additional 59 catches, 517 yards and three touchdowns receiving.
“It’s unreal to be the youngest player ever to reach 99 overall in Madden and to know the adjuster team feels my performance on the field warrants the highest rating is extremely flattering,” McCaffrey said, according to the press release. “Very few athletes achieve the 99 rating and I’m honored to join such an elite group.”
McCaffrey and his 5-5 Panthers face the New Orleans Saints on Sunday.


SD2Vita is a microSD to gamecard adapter for the PS Vita. This means that you can finally use a microSD card as storage for your Vita! It requires a bit of settings up though.
Instructions
- Download the SD2Vita drivers
- Download the zzBlank.img image
- If you haven't already, move your
ux0:tai
folder tour0:tai
and delete theux0:tai
- Copy the SD2Vita drivers to
ur0:tai
- Add the following to
ur0:tai/config.txt
- Backup your Vita Memory Card to your computer via VitaShell using USB or FTP
- If you're using USB, make sure you have hidden files enabled and hidden operating system files enabled
- Put your microSD card into your computer
*KERNEL ur0:tai/gamesd.skprx
Windows
- Download the latest release of Win32 Disk Imager
- Open Win32 Disk Imager and select
zzBlank.img
from your computer - Select your microSD and click Write
- Take out your microSD card and put it back in again
- Format your card from Windows
- File System: exFat
- Allocation Unit Size: Default Allocation Size
- Do not put a volume label
- Copy the backup you made earlier to the SD Card
- Put the SD Card into the SD2Vita adapter and reboot your Vita
Linux
- Find the whole-device node (usually
/dev/sdX
)- If you’re unsure, use the
lsblk
command
- If you’re unsure, use the
- Unmount all partitions, but don’t eject the microSD
umount /dev/sdX
- Use the
dd
command to writezzBlank.img
to the carddd if=/path/zzBlank.img of=/dev/sdXN status=progress && sync
- Take out the micro SD card and put it in again
- Create a new MBR (msdos) partition table, an exFAT partition, and format that partition
mkfs.exfat /dev/sdXN
- Copy the backup you made earlier to the SD Card
- Put the SD Card into the SD2Vita adapter and reboot your Vita