Organic Analysis
EPA Grant Number: R825433C040Subproject: this is subproject number 040 , established and managed by the Center Director under grant R825433
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: EERC - Center for Ecological Health Research (Cal Davis)
Center Director: Rolston, Dennis E.
Title: Organic Analysis
Investigators: Shibamoto, Takayuki
Institution: University of California - Davis
EPA Project Officer: Levinson, Barbara
Project Period: October 1, 1996 through September 30, 2000
RFA: Exploratory Environmental Research Centers (1992) RFA Text | Recipients Lists
Research Category: Center for Ecological Health Research , Targeted Research
Objective:
This project seeks to develop techniques and methods for organic analysis in sediment cores, large masses of water, air and tissue, including multi-residue methods to detect not only a single contaminant but degradation products, metabolites and similar contaminants.
Approach:
The laboratory for Trace Organic Identification has been established. The instrumentation available includes gas chromatography (GC), infrared spectrometry (IR), ultraviolet/visible spectrophotometry (UV/VIS), Ion trap mass spectrometry (MS) and high pressure liquid chromatography (HPLC). The lab also has access to high field, high resolution and soft-ionization mass spectrometry. Many techniques and methods have been developed:
Measurement of Hydroxy Radical in Natural Waters. Investigators will research whether the hydroxy radical may be important in the degradation of a number of pesticides, particularly those which contain halogens. This technique will be useful to the Clear Lake, Tahoe, Sacramento Rivers projects.
Development of an Instrumental Data Library for Pesticides. Rapid identification of pesticides in a complex mixture by using spectral data including gas chromatographic retention index (I), infrared spectra (IR), and mass spectra (MS) was developed. It is generally recognized that identification of an unknown compound can be achieved by matching two different spectral data. Therefore, obtaining IR and MS in addition to GC retention index for pesticides was also the purpose of this study.
Development of an Analytical Method for Trace Organic Compounds in a Large Mass of Water. A liquid-liquid continuous extractor was modified to investigate trace organic chemicals present in ground and surface water such as the water from Lake Tahoe and Clear Lake and the Sacramento River.
Development of Gas chromatographic Method for the Determination of Carbofuran and Oxydemeton-methyl (ODM) as well as its Potential Transformation Product Deoxydemeton-methyl (DODM) in Ambient Air. The chemicals were trapped using XAD-4 resin and recovered with an organic solvent. The extraction efficiencies of carbofuran, ODM, and DODM from a XAD-4 resin with ethyl acetate were near 100%. A trapping efficiency study for ODM and DODM demonstrated that both compounds were relatively non-volatile at 35 ± 5 ¡C. Using the method developed, air sampling was conducted at agricultural sites in California where carbofuran, ODM, and DODM have been applied. The highest amount of carbofuran found in the ambient air samples was 2.1 mg. However, none of the samples collected from ambient air had a sufficient amount of ODM or DODM for the limit of quantitation (0.05 mg).
Development of a Fast and Sensitive (down to 1 ppb) Method of Esfenvalerate and cis/trans-Permethrin Analysis in Environmental Water Samples Using Solid-Phase Extraction (SPE) and Gas Chromatography with Electrolytic Conductivity Detection (GC-ELCD). Representative natural waters were collected from three locations in Northern California (Putah Creek, Sacramento River and Clear Lake) and in Nevada (Lake Tahoe). Samples were spiked with the three pesticides and concentrations were quantified.
Although environmental water samples varied in pH and appearance, recoveries were not significantly different from those of purified water. This was somewhat surprising since suspended solid loading varied from highest to lowest in the order Clear Lake < Putah Creek < Sacramento River < Lake Tahoe and since permethrin and esfenvalerate were highly lipophilic compounds which may partition from water to sediments in littoral enclosures.
Gas Chromatographic/Mass Spectrometric Method for Analysis of Chlorophenoxy Acid Herbicides: MCPB and MCPA in Peas. An analytical method for the determination of 2-methyl-4-chlorophenoxybutyric acid (MCPB) and its primary metabolite 2-methyl-4-chlorophenoxyacetic acid (MCPA) residues in peas was developed utilizing liquid-liquid partitioning, derivatization of acids with diazomethane, Florisil® column cleanup, and gas chromatography/mass spectrometry.
Formation of genotoxic formaldehyde from methyl tert-butyl ether (MTBE) upon UV irradiation. Methyl tert-butyl ether (MTBE) has been used in reformulated gasoline in large quantities during the last decade. Consequently, concerns have been raised about its possible adverse effects to humans. Toxicity studies on MTBE have only begun recently. Direct inhalation is the major route of exposure to MTBE released into the air. However, vapor-phase MTBE produced toxic formaldehyde upon UV irradiation. In the present study, the formation of carbonyl compounds, in particular genotoxic formaldehyde, from MTBE by UV irradiation was investigated in order to assess possible adverse effect caused by MTBE in the environment. When 500 mL of MTBE was irradiated with a regular home fluorescent lamp for 16 h in an ethanol solution, 3.3 mmol formaldehyde was formed.
When vapor-phase MTBE was irradiated by a regular house fluorescent lamp, 0.306 mg of formaldehyde was formed from one g of MTBE. The amount of formaldehyde formed from MTBE may not be significant compared with the total amount of MTBE emitted from automobile exhaust. However, MTBE was found to be an additional source of toxic formaldehyde in the environment.
Other methods. Solid phase extraction and micro solid phase extraction which allow field sampling with rapid analysis will be developed for organic chemicals in ecosystems including pesticides, chlorinated hydrocarbons, and certain pigments. An important idea in the use of solid phase extraction cartridges is the quick application to field sampling in which 100 ml of water can be run through the cartridge with chemicals retained within the cartridge. These chemicals can then be eluted off the cartridges with minimal ease in a laboratory and analyzed quickly. This would reduce both preparation time of the field researcher and the laboratory researcher, while increasing efficiency and being cost effective. Applications such as the separation of pesticides from biological materials is one of the newer developmental uses of solid phase cartridges. Current projects such as the extraction of endosulfan and dicofol from egg matrices are being developed to rapidly analyze exposure of embryos and consequent developmental changes (A.1). Once a sample is prepared, modern advanced instrumentations such as High Performance Liquid Chromatography (HPLC), Gas Chromatography (GC), and Gas Chromatography/Mass Spectrometry (GC/MS) will allow positive identification of not only environmental contaminants but the metabolites as well.
Multi-residue methods will be developed that will not only detect a single contaminant but also the environmental degradation products, the metabolites, and similar types of contaminants. Multi-residue methods for chlorinated pesticides are often designed to detect one class such as dichlorodiphenylethanes (DDT, DDE, Dicofol, Methoxychlor). Metabolites such as Endosulfan Sulfate contain large polar groups which are not present in the parent compound (Endosulfan). These metabolites are not separated and analyzed in traditional separation schemes. This oversight would cause a large variance in the estimated determination of exposure against actual exposure, as a high percentage of many environmental contaminants are transformed and retained within the living system.
Analytical methods for biomarkers such as lipid peroxidation products will be developed. Continuing improvement within the field of biochemistry has lead to the identification of biomarkers within a living system. These biomarkers are usually only activated when exposure has occurred. These biomarkers can be quantified long before whole animal effects are seen. This is an excellent method for determination of exposure and potential ecological health problems. Lipid peroxidation is an early warning which can be measured from small biological samples such as blood or tissue.
Expected Results:
This project is expected to develop techniques and methods for organic analysis in sediment cores, large masses of water, air and tissue, including multi-residue methods to detect not only a single contaminant but degradation products, metabolites and similar contaminants.
Supplemental Keywords:
Environmental monitoring, environmental chemistry, trace organic identification, gas chromatography, hydroxy radicals, pesticides, metabolites, MTBE., RFA, Scientific Discipline, Water, Ecosystem Protection/Environmental Exposure & Risk, Chemical Engineering, Environmental Chemistry, Monitoring/Modeling, Analytical Chemistry, Environmental Monitoring, Ecology and Ecosystems, Engineering, Chemistry, & Physics, hydroxyl radical, aquatic ecosystem, mass spectrometry, trace organic identification, MTBE, pesticides, gas chromatography, ecological risk, pesticide residueProgress and Final Reports:
1999 Progress ReportFinal Report
Main Center Abstract and Reports:
R825433 EERC - Center for Ecological Health Research (Cal Davis) Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R825433C001 Potential for Long-Term Degradation of Wetland Water Quality Due to Natural Discharge of Polluted Groundwater
R825433C002 Sacramento River Watershed
R825433C003 Endocrine Disruption in Fish and Birds
R825433C004 Biomarkers of Exposure and Deleterious Effect: A Laboratory and Field Investigation
R825433C005 Fish Developmental Toxicity/Recruitment
R825433C006 Resolving Multiple Stressors by Biochemical Indicator Patterns and their Linkages to Adverse Effects on Benthic Invertebrate Patterns
R825433C007 Environmental Chemistry of Bioavailability in Sediments and Water Column
R825433C008 Reproduction of Birds and mammals in a terrestrial-aquatic interface
R825433C009 Modeling Ecosystems Under Combined Stress
R825433C010 Mercury Uptake by Fish
R825433C011 Clear Lake Watershed
R825433C012 The Role of Fishes as Transporters of Mercury
R825433C013 Wetlands Restoration
R825433C014 Wildlife Bioaccumulation and Effects
R825433C015 Microbiology of Mercury Methylation in Sediments
R825433C016 Hg and Fe Biogeochemistry
R825433C017 Water Motions and Material Transport
R825433C018 Economic Impacts of Multiple Stresses
R825433C019 The History of Anthropogenic Effects
R825433C020 Wetland Restoration
R825433C021 Sierra Nevada Watershed Project
R825433C022 Regional Transport of Air Pollutants and Exposure of Sierra Nevada Forests to Ozone
R825433C023 Biomarkers of Ozone Damage to Sierra Nevada Vegetation
R825433C024 Effects of Air Pollution on Water Quality: Emission of MTBE and Other Pollutants From Motorized Watercraft
R825433C025 Regional Movement of Toxics
R825433C026 Effect of Photochemical Reactions in Fog Drops and Aerosol Particles on the Fate of Atmospheric Chemicals in the Central Valley
R825433C027 Source Load Modeling for Sediment in Mountainous Watersheds
R825433C028 Stress of Increased Sediment Loading on Lake and Stream Function
R825433C029 Watershed Response to Natural and Anthropogenic Stress: Lake Tahoe Nutrient Budget
R825433C030 Mercury Distribution and Cycling in Sierra Nevada Waterbodies
R825433C031 Pre-contact Forest Structure
R825433C032 Identification and distribution of pest complexes in relation to late seral/old growth forest structure in the Lake Tahoe watershed
R825433C033 Subalpine Marsh Plant Communities as Early Indicators of Ecosystem Stress
R825433C034 Regional Hydrogeology and Contaminant Transport in a Sierra Nevada Ecosystem
R825433C035 Border Rivers Watershed
R825433C036 Toxicity Studies
R825433C037 Watershed Assessment
R825433C038 Microbiological Processes in Sediments
R825433C039 Analytical and Biomarkers Core
R825433C040 Organic Analysis
R825433C041 Inorganic Analysis
R825433C042 Immunoassay and Serum Markers
R825433C043 Sensitive Biomarkers to Detect Biochemical Changes Indicating Multiple Stresses Including Chemically Induced Stresses
R825433C044 Molecular, Cellular and Animal Biomarkers of Exposure and Effect
R825433C045 Microbial Community Assays
R825433C046 Cumulative and Integrative Biochemical Indicators
R825433C047 Mercury and Iron Biogeochemistry
R825433C048 Transport and Fate Core
R825433C049 Role of Hydrogeologic Processes in Alpine Ecosystem Health
R825433C050 Regional Hydrologic Modeling With Emphasis on Watershed-Scale Environmental Stresses
R825433C051 Development of Pollutant Fate and Transport Models for Use in Terrestrial Ecosystem Exposure Assessment
R825433C052 Pesticide Transport in Subsurface and Surface Water Systems
R825433C053 Currents in Clear Lake
R825433C054 Data Integration and Decision Support Core
R825433C055 Spatial Patterns and Biodiversity
R825433C056 Modeling Transport in Aquatic Systems
R825433C057 Spatial and Temporal Trends in Water Quality
R825433C058 Time Series Analysis and Modeling Ecological Risk
R825433C059 WWW/Outreach
R825433C060 Economic Effects of Multiple Stresses
R825433C061 Effects of Nutrients on Algal Growth
R825433C062 Nutrient Loading
R825433C063 Subalpine Wetlands as Early Indicators of Ecosystem Stress
R825433C064 Chlorinated Hydrocarbons
R825433C065 Sierra Ozone Studies
R825433C066 Assessment of Multiple Stresses on Soil Microbial Communities
R825433C067 Terrestrial - Agriculture
R825433C069 Molecular Epidemiology Core
R825433C070 Serum Markers of Environmental Stress
R825433C071 Development of Sensitive Biomarkers Based on Chemically Induced Changes in Expressions of Oncogenes
R825433C072 Molecular Monitoring of Microbial Populations
R825433C073 Aquatic - Rivers and Estuaries
R825433C074 Border Rivers - Toxicity Studies


When you pray to God, are you more likely to imagine Him as immanent or transcendent? Why?
When Jacob asked God His name, God refused to give it to him. When Moses asked, God simply answered: “I am.”
For both of these men, God revealed more about Himself through His actions than through any name spoken aloud. Instead of offering them a name they could call to have power over Him, God revealed His nature to them by intervening with power in the events of their lives.
I love the fact that God isn’t aloof or deliberately mysterious. He is constantly revealing, through His actions in our lives and our world, who He is and what He is capable of.
In Week 1 we saw the self-revealing nature of God in the lives of Abraham
and Sarah. Although they never asked for God’s name, God proclaimed to them:
I will. I will. I will. (See Week 1: Day 2.)
God made a promise and followed through with actions.
I am is a statement of who God is.
I will is a statement of what God does.
God reveals Himself to us by declaring who He is through the words of Scripture, but He doesn’t stop there. He also names Himself by putting those words into action, revealing His power, love, and forgiveness in our lives. This high and lofty God, who is so powerful that many dared not even speak His name out loud, is constantly naming Himself by giving visible proof of His attributes. What’s better, a God who tells you that He’s powerful, loving, patient, and good, or a God who shows you these traits in every interaction He has with His people? If given the same choice in my relationships with people, I’d choose actions over words every time. Better to have a friend who silently acts on her or his good will than who professes good and then acts differently when your back is turned. Thankfully, we serve and love a God who will never separate words and actions.
One of the awesome things about God is that His “I will” and His “I am” are never out of step with each other. When someone’s actions are consistent and reflective of his or her character, he or she has integrity. God exists in a state of integrity, literally the integration of who He is and what He does. In other words, God always acts in ways defined by who He is at His core.


The MD4SG initiative held a presentation and discussion focused on the MD4SG and ICTD interface at the 2nd ACM COMPASS Conference, held in Accra, Ghana in July, 2019. The recording of this event can be found at this link.
Organizers
Mutembesa Daniel, Makerere University
Mutembesa Daniel is a researcher & collaborations lead at the Makerere Artificial Intelligence Research labs. He focuses on algorithmic game theory and mechanism design, behavioural and forecast modelling in crowdsourcing games and applied artificial intelligence in the developing world. His research covers algorithmic mechanism design of community sensing games for surveillance in agriculture and health, modelling participant behaviour in their unique low-resource settings, exploring community graph networks, and machine learning models to forecasting risk burden of rural communities for diseases like malaria.
Memunat Ibrahim, Multiskills Nigeria Limited
Memunat Ibrahim works as a Software Developer at Multiskills Nigeria Limited. She has a B.Sc. Degree in Computer Science. She is a curious researcher interested in solving local problems using AI, mechanism design, and software development expertise. She believes there are lots of interesting problems to be solved with software development and artificial intelligence, especially in developing nations. Bridging the gap between these problem domains and AI expertise will yield a massive inclusive economic and social growth.
Ifeoma Okoh, University of Ibadan, Nigeria
Ifeoma Okoh is a masters student at the University of Ibadan, Nigeria, majoring in mathematics. Her areas of interest are on operations research and finding better ways to solve mechanism design problems. She loves traveling and meeting people.
Advisors
- Rediet Abebe, Harvard University
- Irene Lo, Stanford University


| Module | ActionView::Helpers::SanitizeHelper |
| In: |
/usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/helpers/sanitize_helper.rb
|
The SanitizeHelper module provides a set of methods for scrubbing text of undesired HTML elements. These helper methods extend ActionView making them callable within your template files.
This sanitize helper will html encode all tags and strip all attributes that aren‘t specifically allowed. It also strips href/src tags with invalid protocols, like javascript: especially. It does its best to counter any tricks that hackers may use, like throwing in unicode/ascii/hex values to get past the javascript: filters. Check out the extensive test suite.
<%= sanitize @article.body %>
You can add or remove tags/attributes if you want to customize it a bit. See ActionView::Base for full docs on the available options. You can add tags/attributes for single uses of sanitize by passing either the :attributes or :tags options:
Normal Use
<%= sanitize @article.body %>
Custom Use (only the mentioned tags and attributes are allowed, nothing else)
<%= sanitize @article.body, :tags => %w(table tr td), :attributes => %w(id class style) %>
Add table tags to the default allowed tags
Rails::Initializer.run do |config| config.action_view.sanitized_allowed_tags = 'table', 'tr', 'td' end
Remove tags to the default allowed tags
Rails::Initializer.run do |config| config.after_initialize do ActionView::Base.sanitized_allowed_tags.delete 'div' end end
Change allowed default attributes
Rails::Initializer.run do |config| config.action_view.sanitized_allowed_attributes = 'id', 'class', 'style' end
Please note that sanitizing user-provided text does not guarantee that the resulting markup is valid (conforming to a document type) or even well-formed. The output may still contain e.g. unescaped ’<’, ’>’, ’&’ characters and confuse browsers.
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/helpers/sanitize_helper.rb, line 52 52: def sanitize(html, options = {}) 53: self.class.white_list_sanitizer.sanitize(html, options).try(:html_safe) 54: end
Strips all link tags from text leaving just the link text.
strip_links('Ruby on Rails') # => Ruby on Rails strip_links('Please e-mail me at <a href="mailto:me<EMAIL_ADDRESS># => Please e-mail me at<EMAIL_ADDRESS>strip_links('Blog: Visit.') # => Blog: Visit
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/helpers/sanitize_helper.rb, line 90 90: def strip_links(html) 91: self.class.link_sanitizer.sanitize(html) 92: end
Strips all HTML tags from the html, including comments. This uses the html-scanner tokenizer and so its HTML parsing ability is limited by that of html-scanner.
strip_tags("Strip these tags!") # => Strip these tags! strip_tags("Bold no more! See more here...") # => Bold no more! See more here... strip_tags("
Welcome to my website!
") # => Welcome to my website!
# File /usr/lib/ruby/gems/1.8/gems/actionpack-3.0.0.beta4/lib/action_view/helpers/sanitize_helper.rb, line 75 75: def strip_tags(html) 76: self.class.full_sanitizer.sanitize(html).try(:html_safe) 77: end


• Languages: JavaScript (ES5 and ES6)
• Front-End: HTML, CSS, SASS, React (Redux, Hooks), jQuery
• Back-End: Node, Express, MySQL, MongoDB, Mongoose, SQlite
• Tools: Git, Docker, AWS, Postman, NPM, Webpack, Babel
_ Drink a ton of coffee
_ Coding, JavaScript
_ Database, Data Aggregation
_ Hard-working
_ Team player, Autonomous
_ self-confidence, positive attitude
_ strong work ethic
_ Analyzing tasks, strategic planning skills
_ Highly perceptive
Sujin Kim is a Fullstack Software Engineer, talented and accomplished employee, with extensive
experience in many different fields made her learn how to effectively collaborate with the rest of the
engineering team to design and launch new features.
Skilled in Fullstack Web development with JavaScript, React/Redux/Hooks, Node.js, Express, MySQL, MongoDB, Git for the full application lifecycle, planning, database architecture, feature implementation.
Experience in creating and consuming RESTful APIs and working with engineer teams that implement Agile and SCRUM methodology.
Sujin Kim is ...
“ Very hardworking, persistent, quick to find solutions and has a great logical mind ”
“ Hard working, dedicated, and great team member ”
“ Super compassionate and helpful ”
“ So organized, so hardworking, so nice ”
“ Hard working, ambitious ”
“ Enthusiastic, helpful, a team player! ”
“ Amazing teammate! Setup Queen ”
“ Always eager to help. Super cheerful, Has the Coolest t-shirts in town ”
“ Has such a positive vibe! ”
- Anonymous Comments from cohort mates in Hack Reactor
* Hack Reactor : Advanced Software Engineering Immersive Program
Projects
Hotel Flamingo,
Property management system
Built an application to handle tasks for front desk, housekeeping, management, and system administrator.
• Utilized Javascript, Node, Express, React with Hooks, Babel, Axios, MongoDB, Mongoose, npm, Webpack.
• Designed Rooms API routes and schema integrated with tasks and reservations endpoints.
• Worked with normalized data and created static methods in mongoose to create modular code.
• Created Add room component on the front end for management and integrated with server and
database.
CATWALK,
Retail Website
Modernized interactive E-commerce application rendering information from a headless API.
• Utilized JavaScript, React, Redux, Babel, npm, Axios, Webpack and deployed with AWS EC2.
• Built E-commerce Clothing Store on a team of 4 software engineers, practicing agile software
development.
• Designed React-Redux components and logic for Related Products and Building Your Own Outfits.
• Managed complex asynchronous calls to efficiently extract data from multiple API endpoints at the same
time.
• Created a way to make less api calls by storing data already made to prevent overloading the api and
render faster.
CATWALK API,
Backend service for Retail
Built a server and database to support retail website, integrated a legacy codebase, and optimized the
system.
• Utilized Javascript, Node, Express, MongoDB, Mongoose, npm.
• Established ETL process to transform legacy data with over 30 million entries into usable RESTful API
routes.
• Optimized mongoose queries utilizing indexing, and aggregation.
• Adopted MongoDB functionality to denormalize the data and minimize the aggregation to query faster.
• Designed a caching database to speed up a 15 second query to a ~50ms query.
More Fun but Simpler Life,
Full Stack application
Split-bill App_ a project built in 2days
• Utilized Javascript, Node, Express, React, Babel, Axios, MongoDB, Mongoose, npm, Webpack.
• Integrated with Yelp API to find places, save favorites with comments of the user, and save ‘to go’
wishlist.
• Implemented responsive CSS design for mobile use.


We got content!
- enable customized portals
- leverage interactive technologies
- maximize scalable relationships
- transform best-of-breed markets
- revolutionize global infrastructures
- empower end-to-end networks
- strategize frictionless functionalities
- scale customized systems
- orchestrate revolutionary e-commerce
- deploy dynamic web-readiness
- exploit frictionless portals
- optimize B2C users


Man arrested for allegedly stalking teen girl in Huntington Station
by Eyewitness NewsHUNTINGTON STATION, Suffolk County (WABC) -- A suspected stalker on Long Island is under arrest, accused of repeatedly following a teenage girl.
George Letellier, 56, of Huntington Station, is accused of coming in contact with the 14-year-old at least four times in the last four weeks.
She says he would follow her in his gray Jeep Wrangler and have inappropriate conversations with her.
Investigators say he once prevented the girl from getting away from him, and was in her personal space.
Police were able to eventually track the suspect down after the victim got his license plate number.
He will be moved to Central Islip from the second precinct to face a judge later Friday.


It is a method that returns the amount of times the information passed to the argument appears in the array.
wd(array).count(arg)
var
y = wd(); y.count(wd); y.count(false);
It is a method that returns true if the argument entered is contained in the array, otherwise returns false. There is a second optional argument which, if true, will return an array indicating the indexes in which the information appears within the array.
wd(array).inside(arg [,show = false])
//Example continuation y.toString(); y.inside(wd); y.inside(DW); y.inside(wd, true);
It is a method that returns the value of the index entered in the argument. the value of the argument corresponds to the index of the array. Negative numbers return values from the end of the array. For example, -1 returns the last item in the array and -2 the penultimate.
wd(array).item(index)
//Example continuation y.toString(); y.item(2); y.item(-1); y.item(-3);
Is an attribute that returns the length of the array.
wd(array).items
//Example continuation y.toString(); y.items;


{% extends 'base_dashboards.html'%} {% block content_dashboards %}
All of our examples use the curl
command line tool already available on most systems.
The ^^ My IoT Platform ^^ API lets you send/receive information about your current data and do everything else.


Students may find that affirmations are helpful for coping with the stress of academic life as well as their extracurricular and social lives. Here are some examples from the full list that you or a student you know can use for motivation or inspiration.


Rezaei scores winner against Eupen
by Mir Farhad Ali KhanTasnim – CHARLEROI, Iran international striker Kaveh Rezaei scored the winning goal against Eupen in Matchday 15 of Belgian Football Championship.
Rezaei scored in the 87th minute and sent his team to the fourth place of Jupiler Pro League.
Rezaei was invited to Iran national football team on Saturday by Marc Wilmots for the upcoming match against Iraq.
Iran will play Iraq on Thursday in Group C of the 2022 World Cup qualifier at the Amman Stadium.


public class Executive
extends java.lang.Object
| Modifier and Type | Class and Description |
|---|---|
static class |
Executive.EventType
An enumeration of the types of operations which the executive is managing
|
| Modifier and Type | Field and Description |
|---|---|
private java.util.Map<java.util.UUID,java.util.UUID> |
crdtLookup
A map relating a CRDT name to the name of the node which manages it
|
private long |
createCount
Number of create operations remaining to perform
|
private static int |
DEFAULT_CREATE_COUNT
Defines the default number of create operations to perform for a given simulation if not specified
|
private static int |
DEFAULT_DELETE_COUNT
Defines the default number of delete operations to perform for a given simulation if not specified
|
private static int |
DEFAULT_NODE_COUNT
Defines the default number of nodes for a given simulation if not specified.
|
private static int |
DEFAULT_READ_COUNT
Defines the default number of read operations to perform for a given simulation if not specified
|
private static int |
DEFAULT_UPDATE_COUNT
Defines the default number of update operations to perform for a given simulation if not specified
|
private long |
deleteCount
Number of delete operations remaining to perform
|
private static Executive |
instance
The main executive for the simulation.
|
private org.apache.logging.log4j.Logger |
logger
The logger to log elements to the Log4J output
|
private long |
nodeCount
The number of nodes the executive is simulating
|
private java.util.Map<java.util.UUID,Node> |
nodes
The nodes the executive is managing
|
private long |
readCount
Number of read operations remaining to perform
|
private double |
rejectProbability
The probability of an owning node rejecting an update or delete operation
|
private MessageRouter |
router
A queue which manages messages awaiting delivery
|
private long |
updateCount
Number of update operations remaining to perform
|
private double |
updateProbability
The probability of updating an individual field when computing an update to a managed object
|
| Constructor and Description |
|---|
Executive()
Instantiates a new executive using the default parameters
|
| Modifier and Type | Method and Description |
|---|---|
void |
addNode(Node node)
Add a node to the map of them
|
void |
checkMessageConsistency() |
void |
checkMessageCount() |
void |
checkOperationValidity() |
void |
clear()
Initialize the simulation Executive for a new run.
|
private java.util.Collection<Message<? extends AbstractDataType>> |
doCreate(Node node,
AbstractDataType object)
Create a new object with the specified node as the owner.
|
private java.util.Collection<Message<? extends AbstractDataType>> |
doDelete(Node node)
Perform an delete operation on a random object which exists in the given node.
|
private java.util.Collection<Message<? extends AbstractDataType>> |
doDeliver()
Deliver the next message in the delivery queue to the node which is the intended recipient.
|
private java.util.Collection<Message<? extends AbstractDataType>> |
doRead(Node node)
Perform a read operation on a random object which exists in the given node.
|
private java.util.Collection<Message<? extends AbstractDataType>> |
doUpdate(Node node,
java.lang.Double pChange)
Perform an update operation on a random object which exists in the given node.
|
private long |
eventCount()
Compute and retrieve the total number of operations remaining in execution of the simulation.
|
void |
execute()
Execute the simulation with the settings given.
|
private void |
generateNodes()
Generate the nodes the simulation will use to perform its execution.
|
private java.util.Map<java.util.UUID,java.util.UUID> |
getCrdtLookup()
Return the CRDT Node Lookup map to the calling routing
|
long |
getCreateCount()
Retrieves the number of create operations the Executive is to perform during the course of the
simulation execution
|
long |
getDeleteCount()
Retrieves the number of delete operations the Executive is to perform during the course of the
simulation execution
|
int |
getDeliveryCount()
Retrieve the number of messages remaining in the delivery queue
|
static Executive |
getExecutive()
Retrieve the static executive instance
|
Node |
getNode(java.util.UUID id)
Retrieve the node of the given name
|
long |
getNodeCount()
Retrieve the number of nodes the Executive is managing
|
java.util.Map<java.util.UUID,Node> |
getNodes()
Retrieve the map of nodes currently under the Executive's management
|
java.util.UUID |
getOwnerNode(java.util.UUID id)
Gets the owner node of the CRDT with the given ID
|
long |
getReadCount()
Retrieves the number of read operations the Executive is to perform during the course of the
simulation execution
|
double |
getRejectProbability()
Retrieve the probability of rejecting an update or delete operation which occured at a non-owning node
|
MessageRouter |
getRouter()
Retrieve the message router associated with this Executive instance
|
protected java.lang.String |
getSegment()
Return a segment needed to generate the serialized version of the Executive.
|
long |
getTimestamp()
Retrieve the current timestamps value.
|
long |
getUpdateCount()
Retrieves the number of update operations the Executive is to perform during the course of the
simulation execution
|
double |
getUpdateProbability()
Gets the probability of updating an update of a specific field in an object being managed
|
private java.util.Collection<Message<? extends AbstractDataType>> |
handleEvent(Executive.EventType type,
Node node)
Handle an event of the type provided.
|
private Executive.EventType |
pickEvent()
Randomly pick an event class based on the number of each of the remaining types of operations
which the Executive is required to complete
|
Node |
pickNode()
Randomly pick a node from the collection of nodes
|
void |
registerCrdt(SimCRDTManager<? extends AbstractDataType> crdt)
Registers the node and username for the owner of the CRDT and the object it manages.
|
void |
setCreateCount(long createCount)
Sets the number of create operations the Executive is to perform during the course of the
simulation execution
|
void |
setDeleteCount(long deleteCount)
Sets the number of delete operations the Executive is to perform during the course of the
simulation execution
|
void |
setNodeCount(long nodeCount)
Sets the node count.
|
void |
setReadCount(long readCount)
Sets the number of read operations the Executive is to perform during the course of the
simulation execution
|
void |
setRejectProbability(double rejectProbability)
Set the probability of rejecting an update or delete operation which occurred at a non-owning node
|
void |
setUpdateCount(long updateCount)
Sets the number of update operations the Executive is to perform during the course of the
simulation execution
|
void |
setUpdateProbability(double updateProbability)
Sets the probability of updating an update of a specific field in an object being managed
|
java.lang.String |
toString() |
void |
transmit(java.util.Collection<Message<? extends AbstractDataType>> messages)
Queue up the messages in the collection for delivery to the intended recipient node
|
private org.apache.logging.log4j.Logger logger
private static final int DEFAULT_NODE_COUNT
private static final int DEFAULT_CREATE_COUNT
private static final int DEFAULT_READ_COUNT
private static final int DEFAULT_UPDATE_COUNT
private static final int DEFAULT_DELETE_COUNT
private static Executive instance
private java.util.Map<java.util.UUID,Node> nodes
private MessageRouter router
private long nodeCount
private long createCount
private long readCount
private long updateCount
private long deleteCount
private double rejectProbability
private double updateProbability
private java.util.Map<java.util.UUID,java.util.UUID> crdtLookup
public Executive()
public java.util.Map<java.util.UUID,Node> getNodes()
public void addNode(Node node)
node
- Node instance to add to the node mappublic Node getNode(java.util.UUID id)
id
- Identifier of the node to retrievepublic MessageRouter getRouter()
public static Executive getExecutive()
public long getTimestamp()
public void transmit(java.util.Collection<Message<? extends AbstractDataType>> messages)
messages
- Collection of messages to queue up for deliverypublic long getNodeCount()
public void setNodeCount(long nodeCount)
nodeCount
- The new node countpublic long getCreateCount()
public void setCreateCount(long createCount)
createCount
- The new create countpublic long getReadCount()
public void setReadCount(long readCount)
readCount
- The new read countpublic long getUpdateCount()
public void setUpdateCount(long updateCount)
updateCount
- The new update countpublic long getDeleteCount()
public void setDeleteCount(long deleteCount)
deleteCount
- The new delete countpublic int getDeliveryCount()
private long eventCount()
private Executive.EventType pickEvent()
public Node pickNode()
private java.util.Collection<Message<? extends AbstractDataType>> doCreate(Node node, AbstractDataType object)
node
- The owning node for the new objectobject
- Object for the Node to manage as an owning nodeprivate java.util.Collection<Message<? extends AbstractDataType>> doRead(Node node)
node
- The node from which to readprivate java.util.Collection<Message<? extends AbstractDataType>> doUpdate(Node node, java.lang.Double pChange)
node
- The node from which to updatepChange
- Probability of changing a node field valueprivate java.util.Collection<Message<? extends AbstractDataType>> doDelete(Node node)
node
- The node from which to updateprivate java.util.Collection<Message<? extends AbstractDataType>> doDeliver()
private java.util.Collection<Message<? extends AbstractDataType>> handleEvent(Executive.EventType type, Node node)
type
- Type of event to handle nextnode
- Node affected by handling of the eventpublic void execute()
private void generateNodes()
public double getRejectProbability()
public void setRejectProbability(double rejectProbability)
rejectProbability
- The new update or delete operation rejection probabilitypublic double getUpdateProbability()
public void setUpdateProbability(double updateProbability)
updateProbability
- The new probability for updating a field in a managed objectpublic void clear()
public void registerCrdt(SimCRDTManager<? extends AbstractDataType> crdt)
crdt
- The CRDT to register to look up owner name and user name associated with the CRDTpublic java.util.UUID getOwnerNode(java.util.UUID id)
id
- The id of the CRDT for which we're trying to get the owner nodeprivate java.util.Map<java.util.UUID,java.util.UUID> getCrdtLookup()
protected java.lang.String getSegment()
public java.lang.String toString()
toString
in class java.lang.Object
public void checkMessageConsistency()
public void checkMessageCount()
public void checkOperationValidity()


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Chapter 13
MEMORIES OF SUNBURY TIMES
One of my memories is going out to the pasture with cousins Pat and Jim to bring the cows in to the milking barn. We got behind them and they seemed willing to go. The boys had me make several attempts to milk a cow they picked, usually one that kicked, while learning to sit on a one-legged stool and hold a milk bucket between my legs. A favorite thing for some of us was a cup of really fresh warm milk.
A part of this experience included being handed a scoop shovel for the cleanup. It seemed to me that the cows should have done their business out in the pasture. On one very cold day we went out barefooted and found it necessary to warm our toes in what we called fresh cow pies.
It was on one of those trips when I was about eight years old that we were taking blackberries to the Delaware Grocery. Pat, Jim and I passed a couple of young blacks while walking down-town. Attempting to be friendly, Pat said something that must have been misinterpreted. A little later the larger of the two came to the car, opened the door and put his fist directly into the center of my face. He hit the other two and took off. My nose bled for a long time.
Often after watering and milking the cows we might get a reward. After getting one of the adults to go to town for a block of ice, we would hand crank a freezer of ice cream. The youngest would have a turn first, usually fifty to a hundred turns, and as the ice cream stiffened and the turning became more difficult, the older boys stepped in to finish it.
A meal at Aunt Jo s was a treat. Uncle Thurman made sure
that you tasted everything on the table.
In 1914 Dad took HH and I to town to get some things including oysters. He got
a gallon of standards for a dollar and a gallon of selects for a dollar and a quarter.
Mother used the standards for soup and fried the selects rolled in cornmeal. Either
way all our family liked them, they were a real treat. TG was always great to do
things different. He always wanted to eat some raw and did whenever Mother would
let him have some. He got me to try it. First he put one on a cracker and had me put
cracker and oyster in my mouth all at once. I could not handle that! The next time a
day or so later he had me lay back my head and open my mouth wide. He dropped in
an oyster and down it went before I knew what had happened. After that there was no
problem.
Maxine (Hayes) Stimmel remembers the time Uncle Thurman brought a new pony into the house and led it around the dining table.
We were at the farm several different times in July to help with threshing. We rode on horse- drawn wagons to the field where the wheat had been cut and bundled. Sometimes the bundles had been placed in shocks. We used a pitchfork to lift the bundles to the person on the wagon where they were carefully stacked to make a full load. We all climbed up and rode to the threshing machine near the barn. The shocks were thrown into the thresher where the wheat seed was separated from the chaff. The seeds came out a side shoot where someone had to remove each bag as it was filled. The left over stalks were blown out into a huge straw stack. This would be used for bedding in the pens and stalls in the barn.
Anyone who ever slept at Grandfather s house may remember when he took a key to wind the clock. There were two places to wind. One was for the spring that kept the time and the other was for the spring that made the clock strike every hour all night!
The
The Warners have a long history with the Ohio State Fair. In 1911 MH entered a light grey
|
|
stallion. This was the first year that MH and Louisa Belle took some extra time to look at flatland farms and towns around the state. Thurman rode with horses in the rail car another time. Hubert told of sleeping in the stall next to their animals Aunt Ethel told of being lost when quite small and rescued by a policeman. Uncle Hubert was the Superintendent of |
The
Midway
Beef Cattle Show.
When we attended the State Fair, Dad would get Dave and me up before six in the morning. We usually walked the entire fairgrounds and rode a few rides. Dad was most interested in the new farm machinery display. He would study the new developments and tell us how they had planted or harvested in prior days. We always walked through all the livestock barns. I remember once we watched Uncle Hubert judge cattle.
|
|
We always stayed for a night show, sometimes inside the Coliseum and sometimes outside in front of the Grandstand. Both places had horse shows. Outside included fireworks. The inside of the coliseum pictured here was large enough for sulky races or 2 six-horse stage coach teams to maneuver. I remember there was always a course for horse jumping. In later years the Ohio State Fair was changed and renamed to the Ohio State Exposition and lost much of rural flavor. |
Inside the Coliseum
Dad discouraged us from wasting money on the games along the midway. We usually spent a few pennies in the Penny Arcade. One machine could test your grip. Another was a lot
of pages that rotated to appear as something was moving. I liked the punching bag that
recorded the strength of your punch. Dad would comment about what we had to show for spending our money.
Sometimes we ate something from the vendors but the church sponsored eating places were preferred. Dad would usually tie knots in the corners of his handkerchief and lay it on his head to lesson the sunburn. In the afternoon we had some soft ice cream and a Vernor s Ginger ale (the only time we could drink from a bottle. Mom s anti-drink attitude carried over to include soda pop etc.) A favorite souvenir was a red glass cup engraved with a name and a date.
Miracle Day
About
.
|
No one was seriously injured as the house and roof were first raised by the force of the explosion spilling the occupants out of the upper floor and dropping some into the basement. The smell of fuel oil made Eskham scramble up and out to shut the |
valve on the outside tank. Ethel reached out and felt the broken fruit jars of the peaches she had canned last summer and placed on shelves in the basement. While she was lying there
under the broken beams she thought, Wouldn t it be awful if I lost my life by burning since my sister had died because of fire.
Thirteen-year-old Mary Lou Hayes was quoted in the newspaper:
Our beds just slid right out (from the second floor) into the yard after the big
explosion. My sister Shirley, age six, was sleeping on the first floor. Big boards
fell across her bed, pinning her in. She didn t move and it was lucky she didn t,
for if she had gotten out of bed she would have fallen into the basement through
holes in the floor which surrounded her bed.
Another reporter wrote, quoting Maxine Hayes:
I know I was awake, or at least partly awake, when the house exploded
because I heard the explosion. I remember thinking that it must be a bomb.
Then I realized that I was flying through the air on my mattress. As I passed
by the tree in the front yard, I realized it was something else beside a bomb
because the tree was still standing. I remember being scared, awfully scared,
but at least I remembered to hang on to my mattress.
Shirley slept through it all even though parts of the spindles from her crib were now stuck in the ceiling. She had been folded into her mattress and pinned there by some wall timbers. Eskham Jr. was also pinned in his bed and just quietly talked with his mother until they were rescued.
When they all got together and saw what had happened to their house, they realized that it was a miracle no one was hurt. Later Eskham and Ethel stood in a part of the kitchen that still had a floor. Eskham said We started out with nothing and now we have four kids.
Ethel said, From then on we were at peace, we felt as if Someone was guiding us so we started over.
Ethel would later write, We were moved with what things we could pick up into a house
in Olive Green that had been vacated by an elderly lady. She left a bed and a few chairs and
a table. That night a truck drove in and they had a
davenport and chair that our Sunday School class had bought at a garage sale
and gave to us. Later we were given an envelope of money from the church and we
went to
Warner Reunions
Aunt Ethel told us that after the brothers were married her mother asked them to come home for Thanksgiving dinner so they could stay home to have their own Christmas. The family grew too large to meet at home. Aunt Ethel told of trying to have family Thanksgiving with just her generation. Leaving the kids at home turned out to be a bad idea.
The gathering time and place was changed as families grew.
Many in our generation remember gathering at the Grange Hall near Aunt Ethel s
home. We met there during the 1940s and into the 1970s or longer?  Mildred and Elvira sang I m a Little Teapot. Harvey sang and played his trumpet. I played The Chariot Race on the piano. Mary Lou and Maxine sang I m a Little Teapot. Dorothy played The Chariot Race. Andy brought his trap drums. Many of us recited poems, performed in skits or told jokes. We usually stayed for supper.
When Elvira (Warner) Covey requested recipes and memories for Memories in the Kitchen, Linda (Warner) Bischof wrote:
Thinking back as a grade school child, I have fond memories of spending the day with
everyone. We had lots of good food to eat and played tag. When we had the
entertainment hour, I remember the four of us singing, School Days. Duane sang a
solo, Deanna, I think played her clarinet, and I did my acrobatics. But we all got a little
older & it was not cool any more. I remember eating lunch & dinner, playing baseball
in the park, the men playing horseshoes and the interesting debates over the placement
& score of its landing. Aunt Ethel counted the hairs on her brothers heads, contests
were held and our Mother took home the best nail hammer. The outhouse was
horrible but then came walks to Aunt Ethel s house to go to the bathroom . That was
a great day! Of course it goes without saying Uncle Eskham s ice cream was also great.
Uncle Roger and Uncle Rodney changed their clothes and successfully fooled all of us.
My personal thoughts: I was looking forward to seeing cousin Myron & trying to figure
our how I could sit with him when we are eating, & being disappointed when I didn t.
Being in grade school, how interesting could I be? But Myron always talked to me &
seemed interested in what I was doing & always made me smile & laugh & that made
the reunion a good day. I always love him for making me feel special. I was always
impressed when Grandpa Warner would walk in & sit in the chairs on the side wall &
I would sit beside him & have a very small conversation & I remember the first time he
did not show up. Linda Warner Bischof
In 1973 the responsibility for planning the annual event was passed to the next generation. My brother Dave accepted the task for the RJ clan and appointed my sister Elvira as Chairman. We each received our instructions well in advance.
FROM: Chairman of the Annual Warner Reunion for 1973 Elvira (Warner) Covey
TO: Workers for the Annual Warner Reunion for 1973
SUBJECT: Assignments
1 GRANDMA 1. figure out proportions needed for drinks and instruct Bob.
2. perform as Hostess on THE day!
2 DAVID 1. make arrangements for Pavilion at Bryan St Park on set date
(suggest doing this in Nov) 2. perform as Host on THE day!
3 MARY 1. ferret out info that would lead to award ceremony such as: furthest traveled
to attend, furthest traveled last year, last to have a baby, next to have a baby,
last married, oldest--forget that--Mom has it. Youngest, most weight gained/lost,
most hair lost, etc 2. help with second mailing.
4 ROBERT 1. acquire containers for drinks to be mixed in and transport to park.
2. Follow Grandma's instructions.
5 JOAN 1. draw list of family list--names & addresses and send to Dick before Jan mailing.
2.
give second copy to
6 DICK 1. print flyer
to be mailed in Jan from
2. plans games, prizes, and award ceremony.
7 BARBARA-RICK-DEBBIE 1.address flyers in Jan. 2. assist in planning games, etc.
8 ROD 1. draw up MAP with instructions to be mailed late May/early June
2. print map
9 ANDY & MARK 1. make road signs 2. put signs at park entrance and leading to Pavilion
on THE day pick up signs after.
10 LYNN 1. write May reminder; mail out reminder late May/early June (include Rod s map)
11 CHERI, MERI JO & CINDY 1. come up with method of' identifying each branch of the
family 2. make some form of identification for each person to wear (such as
headbands with feathers if Indian theme is used)
12 READE 1. keep everyone smiling now and at the reunion.
In 1991 the preparatory list for the reunion was: Paper table covering, masking tape, coffee maker (24 cup), 2 gallon tea container, (we used 6 gallon in1990) Sugar, cream, sweet & low and dispensers, napkins, plastic spoons, forks, knives, foam cups, clean up rags, tablespoon to measure tea, long handled spoon to stir tea and lemonade, paper towels, serving spoons, garbage bags, dish soap, table decorations, name tags, signs.
Reunions have been held in various places like: State Parks,
the
The Dessert Contest
|
|
Some of us have observed how the food items on the reunion table have changed with the times. Why labor over a hot stove when a restaurant or grocery has ready prepared food? Does a free range chicken that has been slow cooked in a cast iron skillet on a home stove really taste better? (I vote, yes) I remember the time that Uncle Hildred called attention to
a noticeable decrease in the number of home baked pies. It was several years
later, I always look for cousin Ruth's elderberry pie. It is one of
the few berries that I remember my uncles talking about picking while they
lived in |
Warner Ice Cream
Now there s another great story about Warner ice cream. Aunt Ethel tells us that the first stage of
the ice cream making began in
Later others of us did the coaxing when we were visiting the farm in Sunbury. There was a commercial icehouse that made ice in Sunbury. In later years the recipe that had started in a hand-cranked ice cream maker was used in a modern machine. Uncle Eskham combined a generator and a soft ice cream maker to provide ice cream for us at the Warner reunions. The flavor was special and we all loved it.
|
Eskham and Ethel made a casual decision to make ice cream for a church event in 1993. Once the public discovered Warner-Hayes ice cream it became an annual activity for Memorial Day and Fourth of July occasions. The popularity of the ice cream soon meant making 60 gallons for Memorial Day, 75 to a 100 gallons for 4th of July and 100-125 for Labor Day. |
|
By the time making the ice cream was passed on to Ethel and Eskham Hayes
the next generation, Mary Lou (Hayes) and Kenneth
Mackley, the demand was for 160 gallons of ice cream for
each event. Some was stored at home and sold to relatives and friends in between
the events. As of the beginning of 2008 they had made and sold 5750 gallons and
raised $58,518.44 for the
Apple Butter Time
Making apple butter is another Warner tradition. Aunt Ethel continued the event that her
|
|
father had started in |
Joan and Harvey Warner
Uncle Eskham would cut and stack many small pieces of wood in preparation. There was always homemade bread for the taste test. The ingredients in the kettles were stirred constantly, sometimes for seven hours or until Uncle Eskham said it was done. It was then carefully poured into jars, capped and turned upside down to cool.
|
During the cooking down process various members of the family were given the opportunity to enjoy the stirring. Here Uncle Eskham (with cap) Mary Lou, and grandson Ryan, supervised by his father, Tim Mackley, are doing the stirring. This picture was featured in the Sunbury news about 1996. |
|
Marylou, Uncle Eskham, Tim, Ryan
Palm Sunday Tornado at
RB s farm in Ashley, 1965 by Muriel Warner
(Pictures
taken by
Sheila, Gary,
Beulah, Roger, Jim, Rachel, Muriel, and Paul were over to Grammies and Grampies
for a dinner as Carroll's family was home for the holiday. We left in the evening, leaving
Jim and Rachel to spend the night there with their cousins. The rest of us decided
to stop at the farm and see Mother and Dad Warner if they were up which they
were.
After visiting too long to be keeping the folks
up - Dad had early morning chores to do -
Muriel yelled, "Get down on the floor!" Why, she doesn't know, but everyone did so. Dad, Mother and Muriel were against the inside west wall in front of the buffet. Gary, Beulah and Roger were more in the center of the room but Sheila and I were directly between the west bedroom door and the dining room china closet full of Mother's good dishes sat on the north wall just beside us. A window on the east side of the dining room was straight ahead of us.
The tornado hit at
Aloud Muriel said, "God help us." We heard the huge evergreens crash to the ground on the north and east side of the house. Huge pieces of stored timber in the chicken house 50 yards west of the house came crashing through Dad and Mother's west bedroom windows and the glass and window frames ended up on their bed where they would have been sleeping had we not stayed so late! Some of the 2x4 timbers went straight through the west bedroom window - through the door to the dining room, over Sheila s and my heads and on out the east window! Sheila's wig and shoes were off, glass was everywhere. The china closet had fine glass all through it but not a dish was broken.
After this first burst of wind we decided to crawl to the
basement but another blast came just as fast and we cowered on the floor again.
When it quit we did go to the basement.
All through this there was an eerie orange-colored light. We could look out of the basement window and see the devastation -- silos destroyed, a very sturdy new block building gone, cars wrecked, trees down, Dad was saying he was ruined -- all the 380 head of cattle would be dead. When it appeared that the storm was gone, I took dad to the porch and with a flash light I carefully went to the barn. What a beautiful sight to see those green eyes looking at me, none seemed to be down and I was glad telling Dad and what a relief to him.
|
Uncle Hubert came right away and checked that the cattle weren t
out and also secured a gate. After surveying the damage, he went back to The electric company were putting up new poles and wiring as fast as possible. Uncle Hubert also called the company who had put up the silos to come to repair them temporarily so the cattle could be fed. |
The Feedlot Before the Tornado .
In the meantime
Roger back to
|
In the morning we
were able to see more of the damage. |
|
|
A cupola on the barn was blown away and never found. The barn was leaning nearly a foot to the east and the metal roofs on all of the buildings were gone. The three silos were damaged. One was clear down, another was half blown off down to the silage level and the third was cracked from top to bottom with the roof gone. All three had to be replaced. Heavy rings from the silos were hanging on telephone poles several miles away. |
There was much more damage - too much to list and the fact
that the insurance company paid $31,450.00 to rebuild attests to that. Many
neighbors brought tractors and one brought a bulldozer to help get rid of the
rubble and burn the waste. Three days after the tornado hit, forty Amish men
came from
|
They cleaned up all the fallen trees, trimmed the damaged ones and moved on. Their work was appreciated as well as all the others who helped.
The cattle were always very flighty after their experience. Wright Patterson Air Force sent training flights on a route which passed over the farm and then turned back again. The sound of the planes sent the cattle running to the other side of the field. When the air force was consulted they did change their training route. Nevertheless the cattle did have to go to market early. As for those of us who were there, the tornado is a |
vivid memory that none of us ever forgot. We all All that was left of the three silos
thank the lord that we are here to remember how fierce the forces of nature can be. When that tornado warning sounds now we have the basement door open and watch those storms from the South West! Muriel Warner
|
|
This aerial view was taken after
the house and buildings were restored.
Note the cupola was not replaced. Also
note the garden to the right of the house.
|
Even RJ got some enjoyment by putting on the necessary boots and doing the chores with the modern push-button operation. One of the tasks that he undertook caused him to fall on the inside of the feedlot. Mom always laughed as she told about helping him to clean off the chawed grass . You can take the boy away from the farm but . |
|
(Note: This farm had
belonged to the parents of RJ
Marie, the wife of RB. When it became available RB and JH went into a partnership and bought it. They developed a beef cattle feedlot operation. Over time they had increased the size of the feedlot and by the time of the tornado they were feeding 380 cattle.)
A Hurricane hit
|
I include this picture just to tell about Hurricane Ike.
This hurricane came across the It did damage in 145 mph. More than one million |
We were without electric power for nine My Barn in Xenia, Ohio
days from September 14 until September
23. We cooked with our camping equipment, hauled water and showered in town.
Passing of an Era
|
|
Gone is the outhouse! Many generations started the day with a trip out the path. Someone had to empty the chamber pot that had been used inside during the night. Many like this were built by the government to provide employment as WPA projects during the 1930s. The material cost was about thirteen dollars. Building these was an attempt to make a clean, non-smelly, fly-free facility. There was usually an old catalogue available; Granddad s always had an old bucket of very raspy looking corncobs in one corner and a bag of lime in the other. |
|
|
As farming changed, the next owners of TG s farm turned to raising corn and beans and abandoned the hard work of maintaining a dairy herd. The neglect and lack of upkeep is quite evident in the dairy barn that once provided an income for a large family. |
Sunbury Barn Going Down
|
|
By the turn of the century even the big barn had been abandoned. There was no need to house and feed horses. Raising livestock was no longer profitable. Both nature and vandals had taken their toil. The great barn came down without expressing any appreciation for those who had labored to build it. |
Gone
Thomas Jefferson s dream of an
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Some Important Power BI tools are:
Power BI Desktop
Power BI desktop is the primary authoring and publishing tool for Power BI. Developers and power users use it to create brand new models and reports from scratch.
Costs: Free
Power BI service
Online Software as a Service (SaaS) where Powe Bl data models, reports, dashboards are hosted. Administration, sharing, collaboration happens in the cloud.
Pro license: $10/users/month
Power BI Data Gateway
Power BI Data Gateway works as the bridge between the Power Bl Service and on-premise data sources like DirectQuery, Import, Live Query. It is Installed by Bl Admin.
Power BI Report Server
It can host paginated reports, KPIs, mobile reports, & Power Bl Desktop reports. It is updated every 4 months and installed/managed by the IT team. The users can modify Power Bl reports other reports created by the development team.
Power BI Mobile Apps
Power BI mobile app is available for iOS, Android, Windows. It can be managed using Microsoft Intune. You can use this tool to view reports and dashboards on the Power Bl Service Report Server.
Data sources for the Power BI
| Data source | Description |
| Excel (.xlsx, xlxm) | A workbook can have data entered manually or data, which is queried and loaded from external data sources. |
| Comma Separated Value (.csv) | Files are simple text files with rows of data. Every row can contain one or more values, which is separated by a comma. |
| Power BI Desktop (.pbi) | You can use Power BI Desktop to query and load data from external data sources. |
| Databases in the Cloud | It allows you to connect live to Azure SQL Database, Azure SQL Data Warehouse, etc. |
| Databases on-premises | You can connect directly to SQL Server Analysis Services Relational model databases. A Power BI Enterprise Gateway is required. |
Key terms used in Power BI
| Term | Description |
| Visualization | A visual display of information to achieve one or more objective. It offers a single-screen display of information. It alerts users on issues or problems Operational, Performance, Personal, etc. |
| Datasets | A dataset is something which you import or connect to. Datasets can be renamed, refreshed, removes, and explored. |
| Dashboard | The dashboard is a collection which contains zero or more tiles and widgets. It is used to represent a customized view of some subset of the underlying datasets. |
| Reports | A Power BI report is one or multiple pages of visualizations. It can be created from scratch, imported to a dashboard, and created using datasets. |
| Tile | It a single visualization found in a report or on a rectangular dashboard box which contains each visual. |
History of Power BI
- Power BI was conceptualized by Ruler and Dhers Netz of the SQL server coverage services team at Microsoft.
- It was designed by West Chadic George in the year 2010 and named as a Project Crescent.
- In 2011, It was bundled with SQL Server Codenamed Mount McKinley.
- Microsoft unveiled the first preview to Power BI in September 2014.
- The first version of Power BI released on 24 July 2015. It was based on Excel Based Add-ins like Power Query, Pivot, view, and Map.
Architecture of Power BI
Data Integration:
An organization needs to work with data which comes from different sources which can be in various file formats. The data should be extracted from a different source which can be from different servers or databases. This data is integrated into one standard format in a common staging area.
Data Processing:
In this stage, the integrated data is still not prepared for visualization as the data needs processing. This data is pre-processed. For example, redundant values, missing values will be removed from the data set.
The business rule should be applied to the data when the data is cleaned. You can load that data back to Data Warehouse.
Data Presentation
Once the data is loaded and processed, it can be visualized much better with use of various visualization that Power Bi has to offer. Use of dashboard and report helps one represent data more intuitively. This visual report helps business end users to take business decision based on the insights.
Install and run Power BI Desktop
Step 1) Visit https://powerbi.microsoft.com/en-us/desktop/
And select Download free button
Step 2) You will be redirected to a Microsoft store and select Get button.
Step 3) Click on the Install button.
Step 4) You can see progress status on the screen.
Step 5) Before welcome screen you will ask to register to enter.
Step 6) When you run Power BI Desktop, a Welcome screen is displayed.
Power BI Dashboard
Power Bl Desktop is an enlargement tool used to generate dashboards and reports. Power Bl applications will be accessed by other users through desktop and mobile devices.
There are Power BI components are 5 main components released in the market.
- Power Query: It can be used to search, access, and transform public and/ or internal data sources.
- Power Pivot: It is used for data modeling for in-memory analytics.
- Power View: This component allows you to visualize, analyze, and display data.
- Power Map: It brings data to life with interactive geographical visualization.
- Power BI Service: It allows you to share data views and workbooks, which you can refresh from on-premises and cloud-based data sources.
- Power BI Q&A: It allows you to ask questions and get immediate answers using a natural language query.
- Data Management Gateway: It offers periodic data refreshers, view data feeds, expose tables.
- Data Catalog: This component allows the user to discover and reuse queries using the Data Catalog. Metadata can be facilitated for search functionality.
What is Dax Function?
DAX is a formula expression language which is called (DAX) which can be used with various visualization tools like Power BI. It is also known as a functional language, where the full code is kept inside a function. DAX programming formulas contain two data types: Numeric and Other.
Each is linked to the other by having common columns. Here is a simple diagram showing the relationships.
There are 3 things in Power BI where you can use
DAX –
- Calculated Columns
- Measures
- Tables
Let see all these all of them see how DAX functions works.
Calculated Columns
Calculated column allows you to create new columns based on the given data.
For example, there is no ' Final price' column available in the Items table. Here, the DAX function is used to calculate a new column when only total price & quantity are available.
Price = List_Items[MRP]*List_Items[Qty]
In the data, each row will now have the respective calculated price.
Measures
You can perform a calculation using measure without the need to add any data. This is very helpful for reports where the price can be displayed, without requiring an entirely new column to store it.
Example:
1] Total of the MRP column * Total of Qty column
Tables
DAX functions in tabular model return entire tables. For example, In order to generate a list of all the country the organization has clients in, use the function:
cities touched = DISTINCT(Customers[City])
A word on Filters
Filters hide rows that don't fit given criteria. A calculation after filtering out data will be applicable only on a row which matches those criteria.
Power BI DAX Functions
Some Important DAX functions are:
Average
This DAX function allows you to find the average from a given set of values.
Example -
AvgComm = AVERAGE(List_Items[Price])
Max
Helps you to find the maximum from a given set of values.
Example – Find out the highest order.
HighSale = MAX(List_Items[Price])
Min
Helps you to find the minimum set of values.
Example – Allows you to find out the lowest order.
LowestSale = MIN(List_Items[Price])
Count
Count any umerical data.
Example – Count number of ticket issued.
TicketVolume = COUNT(Invoices[Ticket])
Concatenate
This function helps you to join values in calculated columns. You can use ConcatenateX if using in measures.
Example – Concatenate the Item names, and MRPs will give a unique code for all the price points at which each product is sold.
ProMrp = CONCATENATE(List_Items[Item],List_Items[MRP])
TotalYTD
The function allows you to calculate the sum from the start of the current Year to the specified date. It performs calculate base on a calendar year, not a financial year.
Example – Calculate Sales totals for the price column.
CumiSales = TOTALYTD(SUM(List_Items[Price]),Invoices[Date])
All
Returns everything. Ignores filters.
Example – Used with the calculate function above.
PowerBI vs. Tableau
| Parameters | Power BI | Tableau |
| Year of establishment | 2013 | 2003 |
| Application | Complete Dashboards for analysis | Allow Ad Hoc Analysis |
| Use by | Technical or Non Technical users | Only use by Analysts |
| Support | Very limited | Full support |
| Scalability | Good | Excellent |
| Infrastructure | SaaS | Flexible |
Who uses Power BI?
Here, are an important professional who uses Power BI tool:
- PMO - Project and Portfolio Manager
- Business & Data Analyst
- Developer & Database Administrator
- IT Team, IT Professional
- Consumer for End User Report
- Data Scientist
Disadvantages of Power BI
Here, are Cons/drawbacks of using Power BI are:
- Dashboards and reports only shared with users having the same email domains.
- Power Bl will not mix imported data, which is accessed from real-time connections.
- Power Bi will not accept the file larger than 250MB and zip file which compressed by the data of X-velocity in-memory database.
- Power BI can't accept file size larger than 1 GB.
- Dashboards never accept or pass user, account, or other entity parameters.
- Very few data sources that permit real-time connections to Power BI reports and dashboard.
Summary
- BI helps you to analyze data and to provide actionable information which helps corporate executives, business managers to make informed business decisions.
- Power BI is a Business Intelligence and Data Visualization tool which helps you to convert data from a various data source
- Some important Power BI tools are 1)Power BI Desktop 2) Power BI service 3) Power BI Data Gateway 4) Power BI Report Server 5) Power BI Mobile Apps
- Excel (.xlsx, xlxm), Comma Separated Value (.csv), Power BI Desktop (.pbi), Databases in the Cloud, Databases on-premises are important data sources used in Power BI.
- Visualization, Datasets, Dashboard, Reports, Tile are important terms used in a Power BI.
- Power BI was conceptualized by Ruler and Dhers Netz of the SQL server coverage services team at Microsoft.
- Data Integration 2) Data Processing 3) Data Presentation are important components of Power BI architecture.
- Power Query, Power Pivot, Power View, Power Map, Power BI Service, Power BI Q&A, Data Management Gateway, Data Catalog are important elements of Power BI Dashboard.
- DAX is a formula expression language which is called (DAX) which can be used with various visualization tools like Power BI.
- Power BI offers Complete Dashboards for analysis, while Tableau only allows Ad Hoc Analysis.
- Important professional who uses Power BI is PMO - Project and Portfolio Manager, Business & Data Analyst, IT Team, IT Professional, etc.
- The biggest drawback for Power Bi will not accept the file larger than 250MB and zip file which compressed by the data of X-velocity in-memory database.


Progress:
Select the gestures you think correspond to:
{{ vac.name }}: {{score.score}}
{{command.name}}
{% for subject in range %}
{% with subject|stringformat:"s" as s %}
{% with "vacs/media/S"|add:s|add:"/"|add:command.code|add:".webm" as video_path %}
{% endwith %}
{% endwith %}
{% endfor %}
{{vac.name}}
{{ score.score }} ______ LOWEST ________ HIGHEST ________
{{ score.score }} ______ LOWEST ________ HIGHEST ________
{{ error }}
{% endfor %}
{% endif %}


I am a software engineer with experience building web apps in React/React-Native/Redux/Ruby on Rails/GraphQL/Apollo/Node/Express/AWS.
Recent obsessions include: GraphQL, Ruby, React, React-Native, APIs, Music and Video Games
Other skills/interests include but not limited to: JavaScript, CSS3, Sass, Node.JS/Express, jQuery
Lead mobile app development efforts from design to release
Implement best practice engineering principles, greatly reducing engineering hours required for development
Serve as point of contact regarding mobile app development across departments
Interface with backend based on Go, GraphQL, Ruby on Rails, and PostgreSQL
Architect and engineer front end solutions from ground up for both mobile app (iOS and Android) and desktop using React, React-Native, Redux, Material UI
Deploy backend, desktop site, and mobile app using EC2, S3, and CloudFront
Integrate frontend with backend, which runs on Node/Express and AWS including DynamoDB and S3
Performed quality assurance testing on new programs, resulting in less congestion during high intensity busy testing periods Created in-depth, comprehensive training plan for new hires, many of which were temporary and went on to be offered full time positions and still work there today Created ticketing system, knowledge base, and timecard tracking applications using Service-Now Often closed most work tickets on team, 2nd point of contact on problem calls
Drove all local advertising efforts for Yelp in assigned territories. Utilized Salesforce extensively, including creating filters and reports, and managing 50+ pipelines of accounts. Continually demonstrated tenacity, self-improvement, and implementation of feedback
Memorized menus and gave proper recommendations based on customer tastes. Ensured customers had memorable expereience and resolved any issues that would arise.
Identified 3,000+ voters over phone and door to door canvassing, knocked 9,000+ doors, made 14,000+ phone calls to voters Won the election


{{ item.name }}
This is the only one in the world! You are really lucky!
{{ item.description }}
Or you can login here with login: user and password: user to check out all the items


Cooking Converter
Liquids Conversion
Starting Unit
Fluid Oz
Cups
Quarts
Gallons
Desired Unit
Fluid Oz
Cups
Quarts
Gallons
Amount to Convert
Converted Amount
Solids Conversion
Starting Unit
Ounces
Pounds
Gram
Desired Unit
Ounces
Pounds
Gram
Amount to Convert
Converted Amount


YouTube Playlist "{{playListName}}" is now sent to your TV!
YouTube Playlist "{{playListName}}" could not be sent to your TV!
You are not allowed to send the YouTube Playlist "{{playListName}}" to TV!


#include <hssData.h>
Use this class to load a ProTracker module.
You can play n times this object with hssEngine::playMusic(), from one call to another you can vary the Music's properties like volume or loop flag, this affects only the next hssEngine::playMusic() call.
Don't deallocated or reloaded a Music obj that are playing or your app will crash!
Supports ProTracker modules (.mod) with up to 32 channels.
Public Member Functions | |
| HSS_API void | volume (u32 v) |
| Set music volume. | |
| HSS_API u32 | volume () |
| Get music volume. | |
| HSS_API void | frequency (u32 f) |
| Set music frequency. | |
| HSS_API u32 | frequency () |
| Get music frequency. | |
| HSS_API void | loop (bool l) |
| Set music loop flag. | |
| HSS_API bool | loop () |
| Get music loop flag. | |
| HSS_API void | pan (u32 p) |
| Set music pan separation value. | |
| HSS_API u32 | pan () |
| Get music pan separation value. | |
| HSS_API s32 | load (const TCHAR *modname) |
| Load a music from file. | |
| HSS_API s32 | load (void *membuf, bool copytomem) |
| Load a music from memory. |
|
|
Set music volume.
|
|
|
Get music volume.
|
|
|
Set music frequency.
|
|
|
Get music frequency.
|
|
|
Set music loop flag.
|
|
|
Get music loop flag.
|
|
|
Set music pan separation value. Value can vary between 255 (full pan separation) and 0 (mono output) |
|
|
Get music pan separation value.
|
|
|
Load a music from file. Supports ProTracker module (.mod) with up to 32 channels.
|
|
|
Load a music from memory. Supports ProTracker module (.mod) with up to 32 channels.
|


iGesture Data Structure
A simplified version of the core iGesture data structure is shown in the figure at the bottom of this page. A
Gesture Class provides an abstract description of a single gesture. A Gesture Set represents a group
of gesture classes that can be used within an application.
The gesture Descriptor provides a specific description for a given gesture class. A
gesture class should have at least one descriptor. The most commonly used
gesture descriptor is the SampleDescriptor. Training-based algorithms (e.g. the Rubine algorithm)
store a set of samples within the sample descriptor class.
The left-hand side of the figure shows the abstract data structure whereas on the right-hand
side an example of a specific gesture set (MS application gestures) together with its gesture classes and
descriptions is outlined.


Police raid 'torture centre' in Oyo, free 259 - Premium Times Nigeria
by Atanda AdebayoPolice officers from the Oyo State Police Command on Monday raided an Islamic school located at Ojoo area of Ibadan, the state capital and freed 259 students who were being maltreated, an official has said.
The school is operated by Ismail Olore.
The Commissioner of Police, Shina Olukolu, who led his men to the scene of the incident, said he freed 34 females, 191 males, 11 children, “and 23 sick ones who were allegedly detained and chained for the past two to 10 years ago.”
Mr Olukolu who addressed journalists at the school, said that four suspects have been arrested.
The Police Public Relations Officer in the state, Olugbenga Fadeyi, said the victims will be taken to ‘reformation’ centres in order to give them urgent medical attention.
“Oyo State government is involved in the evacuation process, and the police are currently investigating to unravel the incident,” he said.
Meanwhile, the Commissioner for Women Affairs and Social Inclusion in the state, Fausat Sanni, said the situation was very pathetic but said: “the state government is currently on top of the situation”.
Mrs Sanni said, “We got a distress call in our office this afternoon, and we came immediately to the scene of the incident. We have made arrangements to evacuate some of them to the hospital, as well as our correctional homes.”
The Director of Ali Institute for Qur’an Memorisation, Ali Abdussalam, had earlier described some ‘schools’ in the city “claiming to be rehabilitation centres’ as torture centres.”
Mr Abdussalam, a former president (Amir), Muslim Students Society of Nigeria (MSSN), University of Ibadan, spoke during the graduation ceremony of the institute.
He said those centres “should not be linked to Islam because they (owners) do not have good motive before they (centres) were set up”.
“That is why I said that we have a motive. The motive is to breed youth that will change the society for positive. If you observe those places that you just mentioned, you ask yourself, what kind of people established those places? They are people of questionable characters.
“And there is no way that you will be a teacher, when you have a wrong education, the students that you will teach will take after that your wrong education. That is what caused Boko Haram. You will see that they are giving the wrong education. This affected them.”


Welcome to smdt’s documentation!
Contents:
Module for processing smdt raw data
-
raw.filter_raw(raw_data, raw_value_names, filter_type=None, paras=None)[source]
Apply filters onto raw dataset
Apply different filters onto raw dataset, various filter’s parameters can be
specified, this function doesn’t support “group by”, so be care when using it
on multiple sessions, sensors and subjects
- Args:
raw_data: raw dataset to be filtered
raw_value_names: list of raw dataset value column names
type: string of filter type
paras: dict of mapping of parameter names to its values
“median”: {“kernel_size”: 3}
“lowpass”: {“pass_freq”: 0.01, “stop_freq”: 0.1, “pass_loss”: 1, “stop_loss”: 80}
“dcblock”: {“p”:0.95}
- Returns:
- return filtered raw dataset
-
raw.preprocess_raw(raw_data, annotation_data, grace_period=datetime.timedelta(0, 180), by=None)[source]
Preprocess raw dataset
Preprocess raw dataset by truncate it within the range of actual session, user
can specify a grace period before and after that, and then scale the raw data
into -4g to 4g range
- Args:
- raw_data: raw dataset to be preprocessed
annotation_data: annotation dataset
grace_period: timedelta used in truncation, default is 3min
by: mainly used in truncation which can be thought as subset selection, this
is used to specify a column name used to group raw dataset and then do truncation
- Returns:
- preprocessed raw dataset
-
raw.scale_raw(raw_data, ubound, lbound)[source]
linearly scale raw data into (lbound, ubound)
Linearly scale every raw data sample into range of (lbound, ubound), wockets
unscaled raw data is from 0 to 1023, which can be defined in wockets.utils
- Args:
- raw_data: raw dataset to be scaled
ubound: upper bound of scale range
lbound: lower bound of scale range
Return: scaled raw dataset
-
raw.select_raw_by_ts(raw_data, lbound=None, rbound=None, by=None)[source]
select a subset of raw dataset by given timestamp bounds
Select a subset of raw dataset by given timestamp bounds. The selection can be
done on raw dataset with multiple sessions, sensors or subjects. The selected
subset will have index been reset
- Args:
- raw_data: raw dataset to be selected
lbound: lower bound timestamp, default is None which indicates the start time
rbound: upper bound timestamp, default is None which indicates the end time
by: group raw dataset by a column and then select subset from each group,
should be a string which corresponds to one of the columns. Default is None.
- Returns:
- selected subset of raw dataset
-
raw.transform_raw(raw_data, transform_type=None, value_names=['rawx', 'rawy', 'rawz'])[source]
transform raw dataset into other measurement or space
Transform raw dataset into other measurement or space like orientation, posture
distance, frequency domain
- Args:
- raw_data: raw dataset to be transformed
transform_type: string to specify the transformation operation
value_names: raw dataset’s value column names
- Returns:
- (new_values_names, new_data): transformed dataset’s value column names,
transformed new dataset


In this tutorial, we'll cover how to move a player around using the keyboard.
DragonRuby requires you to define a method
called tick
. This tick
method is called on your behalf at the rate of sixty times per second.
The code you're currently looking at renders a label to the screen and prints the current frame.
# this is how you define the tick method in DragonRuby
def tick args
# this is how a label is rendered to the screen
args.outputs.labels << {
x: 30,
y: 30,
text: args.state.tick_count
}
end
# reset the game if we save
$gtk.reset
Now that you have a tick
method defined. Let's render a green square to the screen.
This will represent your player character.
For rendering labels
, we use args.outputs.labels
. To render sprites
, we
use args.outputs.sprites
. A sprite needs to provide its x
location, its y
location,
its w
(width), its h
(height), and a path
(file path for the image).
def tick args
# this is how a sprite is rendered to the screen
args.outputs.sprites << {
x: 0,
y: 0,
w: 16,
h: 16,
path: 'sprites/square/green.png'
}
end
$gtk.reset
We have to store the player's position over time. We do this using DragonRuby's args.state
function.
Take a look at the code to see how we define the player's properties as state
variables.
You'll notice the use of the ||=
symbol (it's referred to as "or equals"). This symbol tells
DragonRuby to only set a state
property if it's never been set before.
We will update the player's x
position one time every tick. You'll see the player move
across the screen.
def tick args
# set the player's state
# only set the player's starting properties
# once using the ||= operator.
args.state.player.x ||= 0
args.state.player.y ||= 0
args.state.player.w ||= 16
args.state.player.h ||= 16
args.outputs.sprites << {
x: args.state.player.x,
y: args.state.player.y,
w: args.state.player.w,
h: args.state.player.h,
path: 'sprites/square/green.png'
}
# update the players x location once every tick
args.state.player.x += 2
end
$gtk.reset
The player automatically moves to the right every frame, but we want to control the player's movement using the keyboard.
We'll use a conditional statement called an if
statement to only move the player
if we have held down the right
arrow key. DragonRuby provides all keyboard data
via args.inputs.keyboard
.
def tick args
args.state.player.x ||= 0
args.state.player.y ||= 0
args.state.player.w ||= 16
args.state.player.h ||= 16
args.outputs.sprites << {
x: args.state.player.x,
y: args.state.player.y,
w: args.state.player.w,
h: args.state.player.h,
path: 'sprites/square/green.png'
}
# update the players x location only if ~right~
# is pressed or held on the keyboard
if args.inputs.keyboard.right
args.state.player.x += 2
end
end
$gtk.reset
We use multiple conditional statements, called if/elsif
conditionals,
to handle all keyboard input.
We'll use a conditional statement called an if
statement to only move the player
if we have held down the right
arrow key. DragonRuby provides all keyboard data
via args.inputs.keyboard
.
def tick args
args.state.player.x ||= 0
args.state.player.y ||= 0
args.state.player.w ||= 16
args.state.player.h ||= 16
args.outputs.sprites << {
x: args.state.player.x,
y: args.state.player.y,
w: args.state.player.w,
h: args.state.player.h,
path: 'sprites/square/green.png'
}
if args.inputs.keyboard.right
# update the players x location only if
# ~right~ is pressed or held on the keyboard
args.state.player.x += 2
elsif args.inputs.keyboard.left
# ~left~ is pressed or held on the keyboard
args.state.player.x -= 2
end
if args.inputs.keyboard.up
# ~up~ is pressed or held on the keyboard
args.state.player.y += 2
elsif args.inputs.keyboard.down
# ~down~ is pressed or held on the keyboard
args.state.player.y -= 2
end
end
$gtk.reset
Finally, we make sure the player can't go outside of the play
area which is defined in DragonRuby via args.grid
.
We use a combination of args.grid
and a mathematical
function called clamp
to make sure the player's
properties are "clamped" to a minimum and maximum value.
Boom. You've just learned how to move a player around. Congrats.
def tick args
args.state.player.x ||= 0
args.state.player.y ||= 0
args.state.player.w ||= 16
args.state.player.h ||= 16
args.outputs.sprites << {
x: args.state.player.x,
y: args.state.player.y,
w: args.state.player.w,
h: args.state.player.h,
path: 'sprites/square/green.png'
}
if args.inputs.keyboard.right
args.state.player.x += 2
elsif args.inputs.keyboard.left
args.state.player.x -= 2
end
if args.inputs.keyboard.up
args.state.player.y += 2
elsif args.inputs.keyboard.down
args.state.player.y -= 2
end
# make sure the player's x and y position
# are clamped to the the grid's minimum and
# maximum width and height
args.state.player.x = args.state.player.x.clamp(
args.grid.left,
args.grid.right - args.state.player.w
)
args.state.player.y = args.state.player.y.clamp(
args.grid.bottom,
args.grid.top - args.state.player.h
)
end
$gtk.reset


This example demonstrates Dynamator's support for XML-based programming constructs such as JSP directives and actions. The HTML page from the Hello World example is used, but the Dynamator file is changed to use the 'jsp:useBean' and 'jsp:getProperty' elements.
The same HTML is used as in the Hello World example:
The same HTML is used as in the Hello World example:
Normally you would create a JavaBean class to hold values displayed on the page. This example takes a short-cut and uses java.awt.Label as the bean class, since it's close enough.
This Dynamator file is similar to that of the previous example, except for the 'jsp:useBean' and 'jsp:getProperty' elements.
...\doc\tutorial\example01b_HelloWorld>java dynamate HelloWorld2.html Tidy (vers 4th August 2000) Parsing "HelloWorld2.html" HelloWorld.html: Doctype given is "-//W3C//DTD HTML 4.01 Transitional//EN" HelloWorld.html: Document content looks like HTML 4.01 Transitional no warnings or errors were found
If you are viewing this page in a servlet engine, you can see the generated page in action.
Dynamator allows modifiers to contain any arbitrary XML. So instead of standard JSP elements, we could have used JSP tag libraries, or XML elements for any other technology.
This example shows that Dynamator allows the server code implementation to change drastically without affecting HTML. Even more drastic changes could have been made; for example, we could even have changed implementation languages without any change required to the HTML.


Research and analysis
Findings from a research study into teaching methods which help to build pupils' resilience to extremism.
Ref: DFE-RR119 PDF , 947KB , 150 pages
Ref: DFE-RB119 PDF , 126KB , 8 pages
Ref: DFE-RR120 PDF , 696KB , 73 pages
The research used 10 in-depth case studies of relevant projects and interventions, including interviews with teachers, practitioners and students and classroom observation. It also used a literature review and close engagement with 20 academic and other experts in the field.
Published: 26 May 2011
From: Department for Education
Part of: School behaviour and attendance


--- layout: post title: frist draft for a tvc date: '2014-11-19T07:30:41+01:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/103038510267/frist-draft-for-a-tvc ---
Frist draft for a TVC.


Donald Tusk: EPP will decide on Fidesz expulsion ‘at the end of January’
New EPP president says he will wait on report into Hungarian party.
by Maïa de La BaumeZAGREB — The European People's Party will decide whether to expel Hungarian Prime Minister Viktor Orbán's Fidesz party from its ranks "at the end of January" and after "intensive consultations," Donald Tusk told reporters at the party's congress in Zagreb.
"My intention is to have a decision about this issue at the end of January," Tusk said, a day after he was elected president of the EPP, replacing Frenchman Jospeh Daul.
The EPP suspended Fidesz in March in a bid to show voters that it was serious on Budapest's anti-EU rhetoric and backsliding on the rule of law.
The conservative group also set up a three-person panel of "wise men," including former Belgian Prime Minister Herman Van Rompuy, to investigate the state of democracy and the rule of law in Hungary and issue recommendations on whether the EPP should expel Fidesz.
According to EPP officials, the "wise men," who have met Orbán twice and are scheduled to meet him again in December, are due to issue their recommendations in early 2020.
Tusk said he would wait for that report and then "I'll start very intensive consultations."
Tusk said was Orbán a "very close friend," but he didn't agree with "ideas represented" by the Hungarian leader especially his "illiberal democracy."
"We are determined to fight against that type of idea," Tusk added.


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Committed to protecting water quality throughout the mining lifecycle
Mines that release effluent can potentially cause changes to the receiving environment. Released effluent may impact the water quality in streams, lakes and groundwater, which in turn has the potential to affect local aquatic life and/or other water uses.
An impact assessment for any proposed discharges, such as effluents, must be conducted by proponents in order to apply for an effluent discharge permit from the Ministry of Environment and Climate Change Strategy (ENV). Impact assessments are reviewed by not only by BC Government agencies, but also by First Nations and other interested parties as part of the permit application process. These assessments inform the Province’s decisions about the potential risks to water quality that a project may have. The information that impact assessments provide ensures that appropriate terms and conditions are set in permits to protect water quality throughout the lifecycle of a mine.
Permits issued under the Environmental Management Act commonly require proponents to report regularly to ENV on water quality monitoring. Water quality monitoring information, as well as other environmental monitoring information, for specific mines can be found in annual reports available on the BC Mine Information website.


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