Dont forget to use inspect to see the code compilation!
.click allows you to click on something and cause something else to happen. In this example, we are using .click to reveal a message on the page. Give it a try!
.hide allows you to hide an object, image, text, whatever. the .hide syntax uses the .click function as well. Try it out below!
.show allows you to reveal a hidden opject. Usually used in conjunction with .hide in some way. Click the button below to bring the hidden image from the previous box back!
.toggle allows you to move between .hide and .show effortlessly. While we had to use a new button to reveal the image above, now one button can do both tricks! You know what to do (click below)
.click functions in this way:
.click functions in this way:
.click functions in this way:
.click functions in this way:
.click functions in this way:
.addClass allows you to add a class CSS style to a new previously unclassed element or simply overriding the CSS style that ccurrently exists.
.before adds data before an element in a set area or a particular group. Click below to see what happens! Beware! Too many clicks may chane you're expectation!
.after adds data after an element in a set area or a particular group. Click below to see what happens! Beware! Too many clicks may chane you're expectation!
.append operates in exactly the same way as .after, with the exception that whatever is added is actually placed INSIDE the element see? I had the best instructor at Coding Dojo! His name is:
.html sets or returns the content of selected elements Click below to see what I mean!
.attr reveals the value of a link! see the link at the bottom of the page? it will take you to a great resource page! but if you click the button here, you'll get a pop up that reveals the link for you. Give it a shot!
.val reveals the value of form fields! Try this out: type your name and click the button below the image!
Name:
.click functions in this way:
.click functions in this way:


open class OptionsMap : Feature
kind |
val kind: String |
options |
val options: Map<String, Any> |
toSpec |
fun OptionsMap.toSpec(includeKind: Boolean = false): MutableMap<String, Any> |
theme |
Use theme() to modify individual components of a theme, allowing you to control the appearance of all non-data components of the plot. class theme : OptionsMap |


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Fade in
Int./ext. place - day/night
With Adam walk through the river
Adam
Screaming
Hello World! I want to know how long this could take
Cut To
1
Fade in
Int./ext. place - day/night
With Adam walk through the river
Adam
Screaming
Hello World! I want to know how long this could take
Cut To


Visit
Or at least get in touch...
Ok, so there is no real brewery. This is just a web development exercise project - sorry! Thanks for stopping by though. Building this project strengthened my HTML & CSS skills. Particularly, I was able to learn more about Sass syntax and project structure as well as practice responsive design techniques. Feel free to checkout my GitHub page to see more and/or reach out with any question / comments / inquiries. Thanks - have a good one!


PLOS has posted an excellent update reflecting on their experiences a few months in to their new data sharing policy, which requires authors to include a statement of where the data can be obtained rather than providing it upon request. They do a rather excellent job of highlighting common concerns and offering well justified and explained replies where appropriate.
At the end of the piece they pose several excellent questions, which I reflect on here (mostly as a way of figuring out my own thoughts on these issues).
- When should an author choose Supplementary Files vs a repository vs figures and tables?
To me, repositories should always be the default. Academic repositories provide robust permanent archiving (such as CLOCKSS backup), independent DOIs to content, often tracking of use metrics, enhanced discoverability, clear and appropriate licenses, richer metadata, as well as frequently providing things like API access and easy-to-use interfaces. They are the Silicon Valley of publishing innovation today.
Today I think it is much more likely that some material is not appropriate for a ‘journal supplement’ rather than not being able to find an appropriate repository (enough are free, subject agnostic and accept almost any file types). In my opinion the primary challenge is for publishers to tightly integrate the repository contents with their own website, something that the repositories themselves can support with good APIs and embedding tools (many do, PLOS’s coordination with figshare for individual figures being a great example).
I’m not clear on “vs figures and tables”, as this seems like a content question of “What” should be archived rather than “Where” (unless it is referring to separately archiving the figures and tables of the main text, which sounds like a great idea to me).
- Should software/code be treated any differently from ‘data’? How should materials-sharing differ?
At the highest level I think it is possible to see software as a ‘type’ of data. Like other data, it is in need of appropriate licensing, a management plan, documentation/metadata, and conforming to appropriate standards and placed in appropriate repositories. Of course what is meant by “appropriate” differs, but that is also true between other types of data. The same motivations for requiring data sharing (understanding and replicating the work, facilitating future work, increasing impact) apply.
I think we as a scientific community (or rather, many loosely federated communities) are still working out just how best to share scientific code and the unique challenges that it raises. Traditional scientific data repositories are well ahead in establishing best practices for other data, but are rapidly working out approaches to code. The guidelines from the Journal of Open Research Software from the UK Software Sustainability Institute are a great example. (I’ve written on this topic before, such as what I look for in software papers and on the topic of the Mozilla Science Code review pilot
I’m not informed enough to speak to sharing of non-digital material.
- What does peer review of data mean, and should reviewers and editors be paying more attention to data than they did previously, now that they can do so?
In as much as we are satisfied with the current definition of peer review for journal articles I think this is a false dichotomy. Landmark papers, at least in my field, five or six decades ago (e.g. about as old as the current peer review system) frequently contained all the data in the paper (papers were longer and data was smaller). Somehow the data outgrew the paper and it just became okay to omit it, just as methods have gotten more complex and papers today frequently gloss over methodological details. The problem, then, is not one of type but one of scale: how do you review data when it takes up more than half a page of printed text.
The problem of scale is of course not limited to data. Papers frequently have many more authors than reviewers, often representing disparate and highly specialized expertise over possibly years of work, depend upon more than 100 citations and be accompanied by as many pages of supplemental material. To the extent that we’re satisfied with how reviewers and editors have coped with these trends, we can hope for the same for data.
Meanwhile, data transparency and data reuse may be more effective safe guards. Yes, errors in the data may cause trouble before they can be brought to light, just like bugs in software. But in this way they do eventually come to light, and that is somewhat less worrying if we view data the way we currently build publications (e.g. as fundamental building blocks of research) and publications as we currently view data (e.g. as a means to an ends, illustrated in the idea that it is okay to have mistakes in the data as long as they don’t change the conclusions). Jonathan Eisen has some excellent examples in which openly sharing the data led to rapid discovery and correction of errors that might have been difficult to detect otherwise.
- And getting at the reason why we encourage data sharing: how much data, metadata, and explanation is necessary for replication?
I agree that the “What” question is a crux issue, and one we are still figuring out by community. There are really two issues here: what data to include, and what metadata (which to me includes any explanation or other documentation of the data) to provide for whatever data is included.
On appropriate metadata, we’ll never have a one-size-fits-all answer, but I think the key is to at least uphold current community best-practices (best != mode), whatever they may be. Parts of this are easy: scholarly archives everywhere include basic Dublin Core Elements metadata like title, author, date, subject and unique identifier, and most data repositories will attach this information in a machine-readable metadata format with minimal burden on the author (e.g. Dryad, or to lesser extent, figshare). Many fields already have well-established and tested standards for data documentation, such as the [Ecological Metadata Langauge], which helps ecologists document things like column names and units in an appropriate and consistent way without constraining how the data is collected or structured.
What data we include in the first place is more challenging, particularly as there is no good definition of ‘raw data’ (one person’s raw data being another person’s highly processed data). I think a useful minimum might be to provide any data shown in a figure or used in a statistical test that appears in the paper.
Journal policies can help most in each of these cases by pointing authors to the policies of repositories and to subject-specific publications on these best practices.
- A crucial issue that is much wider than PLOS is how to cite data and give academic credit for data reuse, to encourage researchers to make data sharing part of their everyday routine.
Again I agree that credit for data reuse is an important and largely cultural issue. Certainly editors can play there part as they already do in encouraging authors to cite the corresponding papers on the methods used, etc.
I think the cultural challenge is much greater for the “long tail” content than it is for the most impactful data. I think most of the top-cited papers over the last two decades have been methods papers (or are cited for the use of a method that has become the standard of a field; often as software). As with any citation, there’s a positive feedback as more people are aware of it. I suspect that the papers announcing the first full genomes of commonly studied organisms (essentially data papers, though published by the most exclusive journals) did not lack citations. For data (or methods for that matter) that do not anticipate that level of reuse, the concern of appropriate credit is more real. Even if a researcher can assume they will be cited by future reuse of their data, they may not feel that sufficient compensation if it means one less paper to their name.
Unfortunately I think these are not issues unique to data publication but germane to academic credit in general. Citations, journal names, and so forth are not meaningless metrics, but very noisy ones. I think it is too easy to fool ourselves by looking only at cases where statistical averages are large enough to see the signal – datasets like the human genome and algorithms like BLAST we know are impactful, and the citation record bears this out. Really well cited papers or well-cited journals tend to coincide with our notions of impact, so it is easy to overestimate the fidelity of citation statistics when the sample size is much smaller. Besides, academic work is a high-dimensional creature not easily reduced to a few scalar metrics.
- And for long-term preservation, we must ask who funds the costs of data sharing? What file formats should be acceptable and what will happen in the future with data in obsolete file formats? Is there likely to be universal agreement on how long researchers should store data, given the different current requirements of institutions and funders?
I think these are questions for the scientific data repositories and the fields they serve, rather than the journals, and for the most part they are handling them well.
Repositories like Dryad have clear pricing schemes closely integrated with other publication costs, and standing at least an order of magnitude less than most journal publication fees look like a bargain. (Not so if you publish in subscription journals I hear you say. Well, I would not be surprised if we start seeing such repositories negotiate institutional subscriptions to cover the costs of their authors).
I think the question of data formats is closely tied to that of metadata, as they are all topics of best-practices in archiving. Many scientific data repositories have usually put a lot of thought into these issues and also weigh them against the needs and ease-of-use of the communities they serve. Journal data archiving policies can play their part by encouraging best practices by pointing authors to repository guidelines as well as published articles from their community (such as the Nine Simple Ways paper by White et al.)
I feel the almost rhetorical question about ‘universal agreement’ is unnecessarily pessimistic. I suspect that much of the variance in recommendations for the duration a researcher should archive their own work predates the widespread emergence of data repositories, which have vastly simplified the issue from when it was left up to each individual lab. Do we ask this question of the scientific literature? No, largely because many major journals have already provided robust long term archiving with CLOCKSS/LOCKSS backup agreements. Likewise scientific data repositories seem to have settled for indefinite archiving. It seems both reasonable and practical that data archiving can be held to the same standard as the journal article itself. (Sure there are lots of challenging issues to be worked out here, the key is only to leave it in the hands of those already leading the way and not re-invent the wheel).


Two days ago I had the pleasure of speaking at Startup School, a yearly conference on entrepreneurism put on by the great folks at Y Combinator. Never before have I see such a high concentration of smart ambitious people in one place.
You can watch the recording of my thirty minute slot on Youtube:
Since I only had about 25 minutes for the talk and 5 minutes for questions, I wanted to expand upon and clarify some of the ideas I introduced during the talk and then make myself available for additional questions. So today (Monday, 18 October 2010) I’ll be answering any questions you have via Hacker News:
The very first commit to GitHub was made exactly three years ago tomorrow. In that time our team of thirteen has signed up over 420,000 developers and now hosts 1.3 million Git repositories, making us the largest code host on the planet. And we’ve done all of this without ever taking a dime of funding from outside the company. In fact, even within the company we only invested a few thousand dollars out of our own pockets during the first months to cover legal fees.
During the presentation I talk about a choice between optimizing for happiness and optimizing for money. When I say “optimizing for money” I mean following the traditional venture capital route of raising a ton of money to stash in your bank account and going for a huge exit. The unfortunate reality of this approach is that for aspiring entrepreneurs that are not well connected to the VC world, it can take an extraordinary amount of time and effort to raise that money. Even if you are able to raise capital, you are suddenly responsible to your investors and will need to align your interests with theirs.
In a world dominated by news about Facebook, Apple, Google, YouTube, Zappos, and other companies heavily funded by venture capital, it’s easy to forget that you can still build a highly profitable business with significant impact on a global market without having to first spend three months on Sand Hill Road asking for permission to build your product.
The infrastructure components necessary to run an internet business are finally cheap enough that you can get started without a huge up-front investment. In the months that you would traditionally spend in glass-walled conference rooms you can now build a sophisticated prototype of your product and start getting users signed up and engaging you with useful feedback.
This is what I mean by optimizing for happiness: I’m a hacker; I’m happy when I’m building things of value, not when I’m writing a business plan filled with make believe numbers.
When Chris and I started GitHub, I was working full time at Powerset and Chris was doing consulting work and plugging away on a product of his own. GitHub became the leisure activity that I worked on when I got home from the office. I could craft it however I pleased, and there was nobody telling me what to do. This feeling of control and ownership of something you own is intoxicating.
Within three months we had a simple product and moved into private beta. In six months we launched to the public and started charging for private plans. We’ve been profitable every month since public launch except for one (in which we hired two new employees at once). We did this by making a paycheck via other means until GitHub was generating enough revenue to support us full time at about 2/3 of what we were accustomed to making. We then raised our salaries over the next months when we hit specific revenue goals that allowed us to remain profitable. This happened about one year after inception.
A side effect of bootstrapping a sustainable company is what I like to call infinite runway. This is another element of optimizing for happiness. With venture backed endeavors you generally find that during the first several years the numbers in your bank account are perpetually decreasing, giving your company an expiration date. Your VCs have encouraged you to grow fast and spend hard, which makes perfect sense for them, but not necessary for you. Not if you’re trying to optimize for happiness.
VCs want to see quick success or quick failure. They are optimizing for money. There’s nothing wrong with that as long as you want the same things they do. But if you’re like me, then you care more about building a kickass product than you do about having a ten figure exit. If that’s true, then maybe you should be optimizing for happiness. One way to do this is by bootstrapping a sustainable business with infinite runway. When there are fewer potentially catastrophic events on the horizon, you’ll find yourself smiling a lot more often.
The ironic thing about bootstrapping and venture capital is that once you demonstrate some success, investors will come to YOU. When this happens you will be in a much better place to make a more reasoned choice about taking on additional capital and all the complexities that come with it. Talking to VCs with some leverage in your back pocket is an entirely different game from throwing yourself in front of a conference table full of general partners and trying to persuade them that you’re worth their time and money. Power is happiness.
There are other really great things you can do when you optimize for happiness. You can throw away things like financial projections, hard deadlines, ineffective executives that make investors feel safe, and everything that hinders your employees from building amazing products.
At GitHub we don’t have meetings. We don’t have set work hours or even work days. We don’t keep track of vacation or sick days. We don’t have managers or an org chart. We don’t have a dress code. We don’t have expense account audits or an HR department.
We pay our employees well and give them the tools they need to do their jobs as efficiently as possible. We let them decide what they want to work on and what features are best for the customers. We pay for them to attend any conference at which they’ve gotten a speaking slot. If it’s in a foreign country, we pay for another employee to accompany them because traveling alone sucks. We show them the profit and loss statements every month. We expect them to be responsible.
We make decisions based on the merits of the arguments, not on who is making them. We strive every day to be better than we were the day before.
We hold our board meetings in bars.
We do all this because we’re optimizing for happiness, and because there’s nobody to tell us that we can’t.


3 references to AllServices
Microsoft.PowerShell.Commands.Management (3)
commands\management\Service.cs (3)
378
foreach (ServiceController service in
AllServices
)
393
foreach (ServiceController service in
AllServices
)
449
foreach (ServiceController service in
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Make mermaid diagrams in your Jupyter Notebook Markdown
see more examples
pip install nb-mermaid
%reload_ext mermaid
git clone -b gh-pages \ https://github.com/bollwyvl/nb-mermaid.git \ ~/.ipython/nbextensions/nb-mermaid
%%javascript IPython.load_ipython_extensions([ "nb-mermaid/nb-mermaid" ]);
GitHub Repo
BSD


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{% extends "base.html" %} {% block main %}
Change The Way You Listen helps you create playlists based on your top listened artists in the last month using certain tracks properties such as danceability, energy, tempo and so on. It also shows you your own personal listening analysis based on the top artists that you had listened in the past 6 months.
Listening music is fun, but listening "content-aware" music is much more fun. Life is too short to try to search for the genre of each artist you had been listening. Using you personal listening analysis, you can explore which genres are associated with the sounds that you had been listening the most during this time period. This will help you explore more specific categories of the sounds when people ask you your favorite type of music. Because simply saying rock, pop or rap may not be describing your favorites in-depth. Here we show you a variety of ways to describe these sounds.
Daily Mix playlists are great but...
They do not allow you to use the features of tracks. When you like an artist, you do not necessarily like all the songs that they do. Maybe you do not like the "danceable" songs of that artist because you had found their new release to be not reflecting them pretty well. Using the playlist creation feature that we present here, you can decide which types of songs you want to listen in that genre that the artist you like for the past month falls in.
Go to the navigation menu and have some fun with your new fully-automated personal playlists!
{% endblock main %}


Fundamentals of Mercury Speciation Kinetics: A Theoretical and Experimental Study
EPA Grant Number: R828168Title: Fundamentals of Mercury Speciation Kinetics: A Theoretical and Experimental Study
Investigators: Wendt, Jost O.L. , Blowers, Paul
Institution: University of Arizona
EPA Project Officer: Shapiro, Paul
Project Period: September 1, 2000 through August 31, 2002 (Extended to August 31, 2004)
Project Amount: $225,000
RFA: Exploratory Research - Engineering, Chemistry, and Physics) (1999) RFA Text | Recipients Lists
Research Category: Engineering and Environmental Chemistry , Water , Land and Waste Management , Air
Description:
This is a fundamental research project and it is concerned with developing validated detailed kinetic models to describe the inter-conversion of mercury species in combustion flue gases. To this end the project contains novel experimental and theoretical components. Within the experimental component, a sub-objective is to measure gaseous combined mercury species directly, using a mass spectrometer. This has not been accomplished heretofore because the probable concentrations that can be measured using mass spectrometry (MS) are very much higher than those of practical interest for coal combustion, although they may have application in incineration. We believe mass spectrometers will measure species in the 10-100 ppm range, rather than the ppb range, which is of interest for pulverized coal combustion. We circumvent this difficulty by using the multi-mercury species measurements at high concentrations to validate a realistic kinetic model in which concentrations of several mercury species may be required for validation. This model will then be used to extrapolate to low concentrations to yield ppb level predictions. Consistency with these ppb level predictions will then be verified experimentally using mercury metal only measurements by UV absorption, supplemented by wet chemistry. Note that UV absorption can measure Hg metal only, and wet chemical methods, at best, can separate metallic mercury from all other mercury species, and that this separation is insufficient to glean fundamental knowledge about detailed chemical mechanisms. Hence, data of multiple mercury species is required, and that can currently only be obtained at the higher Hg levels.
Within the theoretical component of this research, a sub-objective is to predict gas phase elementary rate coefficients between mercury and chlorine molecules and chlorine atoms. This is no easy task, due to relativistic effects that are important in describing the intermolecular interaction function for heavy metals. Methods to accomplish these predictions are discussed below. With the rate coefficients so determined, we shall develop a CHEMKIN-based kinetic model including them and others from the C, H, N, O, system, and calibrate this against experimental measurements of pertinent mercury species in a plug flow reactor.
Approach:
This research has two novel attributes: first, it attempts to measure the temporal profile of various mercury species directly, using a mass spectrometer, rather than inferring them by difference; second, it involves theoretical estimation of gas phase mercury reaction rate constants and subsequent modeling of detailed kinetics of the Hg, Cl, S, C, H, O, N system. The direct measurements using mass spectrometry will be for Hg, HgCl2, HgO, HgS, and other (possibly organic) mercury species, as appropriate.
Experimental work employs a downflow quartz reactor with combustion gases doped with mercury at both ppm levels for the mass spectrometry measurements, and at ppb levels, for relevance to practical situations. It is known that mass spectrometry requires the concentrations to be in the ppm range, which is greater than the ppb range found in coal combustion units. We use the high concentration experiments to validate a realistic kinetic model, and use the model to extrapolate to ppb conditions. Selected ppb conditions are then experimentally investigated using existing UV absorption spectroscopy for Hg metal and traditional "difference" techniques. The result should be a validated kinetic model describing the inter-conversion and formation of mercury chloride, mercury oxide, and mercury sulfide (and other sulfur compounds) as functions of reactor conditions (temperature, presence of flame, stoichiometric ratio, mercury concentration, chlorine and sulfur concentrations). Experiments with and without flame present are important since these, together with detailed kinetic modeling, can elucidate the role of free radicals, including the role of atomic chlorine, which is thought to be very important. This research focuses on homogeneous gas phase mercury speciation kinetics. Capabilities exist for the addition of real and simulated fly ash into the reactor, but for the present, heterogeneous reactions are outside the scope of this research, but will be the subject of future research.
Premixed flames will be supported at the top of the heated quartz reactor on a sintered quartz flame holder. Flames will be in a non-sooting mode, in order to avoid deposition on the walls. Some experiments will also be performed in the absence of flames. Temperatures will be controlled by independent flow control of oxygen, nitrogen and methane. Mercury will be added from permeation tubes (less than 1 ppm Hg @1 slpm flue gas) or from direct Hg vaporization (greater than 1ppm). Chlorine and sulfur will be admixed to the incoming mixture. An existing Extrel C-50 Mass Spectrometer with a 300 l/s turbo pump will be used for the mass spectrometry measurements. A suitable sampling system for this will be constructed and employed, as described in the proposal.
Theoretical estimation of rate constants will be based on previous theoretical work of one of the PIs. This work has heretofore focused on developing more accurate correlations for activation energies by, for example, addition of repulsive interactions between the reactants. To assess the importance of repulsive interactions for heavy metal species like mercury, quantum mechanical calculations will be performed for reactions involving mercury with chlorine, hydrogen, and oxygen. These will use effective core potentials (ECP), which replace the core electrons on mercury with a simpler description using an effective potential. Only the valence electrons are still treated explicitly during the calculations. Also, with elements as heavy as mercury, relativistic effects on the electrons within the effective core approximation must be taken into account. This suggests that the ECP of Moysagin or Dolg, for example, will be more accurate than the ECPs which do not include relativistic effects. The rate coefficients so determined will be used in conjunction with CHEMKIN based software to predict mercury species profiles in the tubular reactor configuration, and these predictions will be compared to measurements.
Expected Results:
The first output is a method for measuring ppm concentration levels of mercury species in combustion flue gases, and the actual measurements. The second output is a realistic theoretical kinetic model describing mercury speciation inter-conversion kinetics, where the model is based on detailed chemical kinetics and fundamentally grounded predictions of pertinent rate coefficients.
Publications and Presentations:
Publications have been submitted on this project: View all 24 publications for this projectJournal Articles:
Journal Articles have been submitted on this project: View all 4 journal articles for this projectSupplemental Keywords:
mercury speciation; combustion; chemical kinetic computational methods; mass spectrometry, RFA, Scientific Discipline, Air, Toxics, Waste, Environmental Chemistry, HAPS, Incineration/Combustion, Engineering, Engineering, Chemistry, & Physics, Environmental Engineering, mercury , Chlorine, mercury, UV, mass spectrometry, fly ash, sulfur, chemical transport modeling, mercury speciation, chemical kinetics, downflow quartz reactor, combustion, Mercury Compounds, incineration, coal combustion, flue gasesProgress and Final Reports:
2002 Progress ReportFinal Report


July 16, 2019
Many of the sites needed for instructions and resources on crossing the wall are themselves behind the wall. Therefore in this post, we take our first steps to reach these instructions and resources. This post lists four possibilities. All these instructions are for a computer running Ubuntu Linux 18.04.
FanQiangDang (翻墙党) contains tutorials and free public-interest servers. The subjects covered include airport recommendations, free over-the-wall software, free Shadowsocks nodes, ShadowsocksR nodes, and V2Ray nodes, over-the-wall tips, free trials, network security, and so on.
For now, the site can still be reached simply by editing your /etc/hosts
file. You can do this as follows. Open a terminal (Ctrl+Alt+t). Open the hosts file in an editor:
sudo vi /etc/hosts
At the bottom of the file, press the o key on your computer keyboard to open a line for input.
Insert the line:
<IP_ADDRESS> fanqiangdang.com
Press the Esc key on your keyboard to escape from input mode.
Type :wq
and press Enter to write the file to disk and quit the editor.
Then open Firefox and visit https://fanqiangdang.com.
Lantern (蓝灯) is a free and open-source, peer-to-peer, Internet censorship circumvention tool, intended to be used for casual web browsing. It provides a way to bypass state-sanctioned filtration through a network of trusted users, though it is not an anonymity tool like Tor (see below). Using Lantern, users in countries having free Internet access share their bandwidth with those who are in countries where the network is partly blocked. Network connections will be dispersed between multiple computers running Lantern so it will not put undue stress on a single connection or computer.
The official site at https://getlantern.org is blocked by the wall. However, the binaries are mirrored on Github at https://github.com/getlantern/lantern-binaries. The newest version is version 5.50.
To install Lantern, open Firefox, and download lantern-installer-64-bit.deb
from the above page.
Open a terminal (Ctrl+Alt+t). Change into your Downloads
folder:
cd ~/Downloads
Install the package:
sudo dpkg -i lantern-installer-64-bit.deb
The Tor Project site at https://www.torproject.org is blocked, but you can find a mirror to download the Tor Browser at https://github.com/TheTorProject/gettorbrowser/releases. This repository has not been updated recently, and it contains Tor Browser version 8.0.2. Currently the latest version on the official site is Tor Browser version 8.5.4. Tor Browser is available for Linux in both en-US and zh-CN versions.
Open Firefox, and visit https://github.com/TheTorProject/gettorbrowser/releases. Download either tor-browser-linux64-8.0.2_zh-CN.tar.xz
or tor-browser-linux64-8.0.2_en-US.tar.xz
, depending on your language preference. We will use the example of tor-browser-linux64-8.0.2_en-US.tar.xz
.
Click the file name. Select Save File, and click OK. It is a large download (over 70 MB). When the download is complete, close Firefox.
Open a terminal (Ctrl+Alt+t), and change directory into your Downloads
folder:
cd ~/Downloads
Enter the ls
for list command:
ls
You should see your downloaded archive file in there. Extract the archive by entering the command:
tar -xvf tor-browser-linux64-8.0.2_en-US.tar.xz
ls
command, you will see that tar -xvf
has created a new directory named tor-browser_en-US
. Change into this directory by issuing the command:
cd tor-browser_en-US
start-tor-browser.desktop
. Execute this script:
./start-tor-browser.desktop
After 10 seconds or so, the initial Tor screen appears. Tor is blocked in China, so a special configuration is needed.
In the launcher on the left, right-click on the Tor Browser icon, and select Add to Favorites. When you close Tor Browser, it will now remain in the launcher for future use.
BTSync (now called Resilio Sync) is a proprietary peer-to-peer file synchronization tool. Its use for downloading GFW tools is explained in two blog posts:
To use this approach, first create a directory to sync. Open a terminal (Ctrl+Alt+t), and issue the command:mkdir ~/Downloads/program-think
The posts on the Program-Think blog describe a problem in that BTSync trackers are blocked in China. We therefore need to enable the Distributed Hash Table (DHT) functionality of BTSync. This is only available in certain versions of BTSync. Version 1.4.111 was the last version that was both free and supported DHT enabling.
The regular executables assume you have a device running glibc 2.24 and later. There are special executables for older devices running glibc 2.23 and before. Each executable comes in a 32-bit (i386) and a 64-bit (x64) edition. You can check which version of glibc you have by opening a terminal (Ctrl+Alt+t) entering the command:
ldd --version
Ubuntu 18.04 should return a version of 2.27, so we are good to use the regular 64-bit version of BTSync 4.1.111. This download is named btsync_x64-1.4.111.tar.gz
.
Open Firefox, and download the archive of your choice:
btsync_glibc23_i386-1.4.111.tar.gz
btsync_glibc23_x64-1.4.111.tar.gz
Note: For Windows 64-bit and Windows 32-bit users, the following are also available:
For Mac users, the following are also available:
Our choice in this example is btsync_x64-1.4.111.tar.gz
. Select the option Save File, and click OK. Once the download is complete, close Firefox.
Open a terminal (Ctrl+Alt+t)), and change into your Downloads
folder:
cd ~/Downloads
Enter the ls
for list command:
ls
You should see your download in there, which for us is named btsync_x64-1.4.111.tar.gz
. You will also see the program-think
directory you created a moment ago.
Check the integrity of the file with the sha256sum
command:
sha256sum btsync_x64-1.4.111.tar.gz
The sha256 checksums should be as follows:
758cb2e3b21a21297a6fc46ca36999b2c7c170939b366e012af62a2ca953179c btsync_glibc23_i386-1.4.111.tar.gz
921c47be0f60a3c88e8452a1de5252b2cbf1c8280d57a011f400d3cb9df676cc btsync_glibc23_x64-1.4.111.tar.gz
f3b3095d5b7021157ada032040144e715621585864e979ba53a4697be8918ae3 btsync_i386-1.4.111.tar.gz
6ea03cd2f60177baca58c701b80e1abf44b7c42fc4ec5b8bcfd3b266876e832f btsync_x64-1.4.111.tar.gz
To extract the files from the archive, issue the command:
tar -xvzf btsync_x64-1.4.111.tar.gz
btsync
. Run this program:
./btsync
BTSync forks a background process that listens on the default port of 8888
.
Close the terminal. Open Firefox and visit http://<IP_ADDRESS>:8888
.
On the welcome screen, check the box for the End User License Agreement (EULA). Enter your choice of a username, password, and confirm password. Click Get Started.
A box appears, Authentication Required. This is for the username and password you chose a moment ago. When you have typed them, click OK.
If you want to change the language of the interface, click the gear icon, select Preferences, and change the Language as you wish.
Now click the add key icon. Add the program-think key:
BTLZ4A4UD3PEWKPLLWEOKH3W7OQJKFPLG
Click Next. Choose your folder, /home/yourusername/Downloads/program-think
. Click Add.
Now select the row for the folder you created a few moments ago, e.g., /home/yourusername/Downloads/program-think
. Click the three dots at the end of the row, and select Preferences. These are folder-specific preferences.
Close the folder-specific Preferences box.
The Status column shows that the folder is in status Receiving. When the sync is complete, you will see these contents in your program-think
subdirectory within your Downloads
directory:


browser-asap.js |
|
"use strict";
|
|
|
rawAsap provides everything we need except exception management. |
var rawAsap = require("./raw");
|
|
RawTasks are recycled to reduce GC churn. |
var freeTasks = [];
|
|
We queue errors to ensure they are thrown in right order (FIFO). Array-as-queue is good enough here, since we are just dealing with exceptions. |
var pendingErrors = [];
var requestErrorThrow = rawAsap.makeRequestCallFromTimer(throwFirstError);
function throwFirstError() {
if (pendingErrors.length) {
throw pendingErrors.shift();
}
}
|
|
Calls a task as soon as possible after returning, in its own event, with priority over other events like animation, reflow, and repaint. An error thrown from an event will not interrupt, nor even substantially slow down the processing of other events, but will be rather postponed to a lower priority event. Params
task
[object Object]
A callable object, typically a function that takes no arguments.
|
module.exports = asap;
function asap(task) {
var rawTask;
if (freeTasks.length) {
rawTask = freeTasks.pop();
} else {
rawTask = new RawTask();
}
rawTask.task = task;
rawAsap(rawTask);
}
|
|
We wrap tasks with recyclable task objects. A task object implements
|
function RawTask() {
this.task = null;
}
|
|
The sole purpose of wrapping the task is to catch the exception and recycle the task object after its single use. |
RawTask.prototype.call = function () {
try {
this.task.call();
} catch (error) {
if (asap.onerror) {
|
|
This hook exists purely for testing purposes. Its name will be periodically randomized to break any code that depends on its existence. |
asap.onerror(error);
} else {
|
|
In a web browser, exceptions are not fatal. However, to avoid slowing down the queue of pending tasks, we rethrow the error in a lower priority turn. |
pendingErrors.push(error);
requestErrorThrow();
}
} finally {
this.task = null;
freeTasks[freeTasks.length] = this;
}
};
|


Oh, hello there. I did not see you come in. I was to busy reading off this TelePrompter. It does some pretty cool things, for example:
You can edit the text right on the page. It'll even save it for you if you happen to leave the page. That's some smart thinking.
If you're using an iPad, you can add a shortcut to your home screen for full screen awesomeness.
You can also use some handy keyboard shortcuts to speed things up. You can adjust the speed & font size at the top right as well. We're also experimenting with ways to flip the text around for you fancy folks using mirrors.
The keyboard shortcuts are as follows:
Up: Increases Font Size
Down: Decreases Font Size
Left: Slows Down Teleprompter
Right: Speeds Up Teleprompter
Space: Starts / Stops Teleprompter
Escape: Resets Everything
Finally, we also made an effort to make sure your text will be easy to read. So if you are pasting text from a word document, we'll do some cleaning up to make the breaks flow more easily.
Thanks for Stopping by.


Creating an application with continuous delivery in the Lambda console
You can use the Lambda console to create an application with an integrated continuous delivery pipeline. With continuous delivery, every change that you push to your source control repository triggers a pipeline that builds and deploys your application automatically. The Lambda console provides starter projects for common application types with Node.js sample code and templates that create supporting resources.
In this tutorial, you create the following resources.
-
Application – A Node.js Lambda function, build specification, and AWS Serverless Application Model (AWS SAM) template.
-
Pipeline – An AWS CodePipeline pipeline that connects the other resources to enable continuous delivery.
-
Repository – A Git repository in AWS CodeCommit. When you push a change, the pipeline copies the source code into an Amazon S3 bucket and passes it to the build project.
-
Trigger – An Amazon CloudWatch Events rule that watches the main branch of the repository and triggers the pipeline.
-
Build project – An AWS CodeBuild build that gets the source code from the pipeline and packages the application. The source includes a build specification with commands that install dependencies and prepare the application template for deployment.
-
Deployment configuration – The pipeline's deployment stage defines a set of actions that take the processed AWS SAM template from the build output, and deploy the new version with AWS CloudFormation.
-
Bucket – An Amazon Simple Storage Service (Amazon S3) bucket for deployment artifact storage.
-
Roles – The pipeline's source, build, and deploy stages have IAM roles that allow them to manage AWS resources. The application's function has an execution role that allows it to upload logs and can be extended to access other services.
Your application and pipeline resources are defined in AWS CloudFormation templates that you can customize and extend. Your application repository includes a template that you can modify to add Amazon DynamoDB tables, an Amazon API Gateway API, and other application resources. The continuous delivery pipeline is defined in a separate template outside of source control and has its own stack.
The pipeline maps a single branch in a repository to a single application stack. You can create additional pipelines to add environments for other branches in the same repository. You can also add stages to your pipeline for testing, staging, and manual approvals. For more information about AWS CodePipeline, see What is AWS CodePipeline.
Sections
Prerequisites
This tutorial assumes that you have some knowledge of basic Lambda operations and the Lambda console. If you haven't already, follow the instructions in Getting started with Lambda to create your first Lambda function.
To complete the following steps, you need a command line terminal or shell to run commands. Commands and the expected output are listed in separate blocks:
this is a command
You should see the following output:
this is output
For long commands, an escape character (\
) is used to split a command over multiple lines.
On Linux and macOS, use your preferred shell and package manager. On Windows 10, you
can install the Windows Subsystem for Linux
This tutorial uses CodeCommit for source control. To set up your local machine to access and update application code, see Setting up in the AWS CodeCommit User Guide.
Create an application
Create an application in the Lambda console. In Lambda, an application is an AWS CloudFormation stack with a Lambda function and any number of supporting resources. In this tutorial, you create an application that has a function and its execution role.
To create an application
-
Open the Lambda console Applications page
. -
Choose Create application.
-
Choose Author from scratch.
-
Configure application settings.
-
Application name –
my-app
. -
Application description –
my application
. -
Runtime – Node.js 10.x.
-
Source control service – CodeCommit.
-
Repository name –
my-app-repo
. -
Permissions – Create roles and permissions boundary.
-
-
Choose Create.
Lambda creates the pipeline and related resources and commits the sample application code to the Git repository. As resources are created, they appear on the overview page.
The Infrastructure stack contains the repository, build project, and other resources that combine to form a continuous delivery pipeline. When this stack finishes deploying, it in turn deploys the application stack that contains the function and execution role. These are the application resources that appear under Resources.
Invoke the function
When the deployment process completes, invoke the function from the Lambda console.
To invoke the application's function
-
Open the Lambda console Applications page
. -
Choose my-app.
-
Under Resources, choose helloFromLambdaFunction.
-
Choose Test.
-
Configure a test event.
-
Event name –
event
-
Body –
{}
-
-
Choose Create.
-
Choose Test.
The Lambda console runs your function and displays the result. Expand the Details section under the result to see the output and execution details.
Add an AWS resource
In the previous step, Lambda console created a Git repository that contains function code, a template, and a build specification. You can add resources to your application by modifying the template and pushing changes to the repository. To get a copy of the application on your local machine, clone the repository.
To clone the project repository
-
Open the Lambda console Applications page
. -
Choose my-app.
-
Choose Code.
-
Under Repository details, copy the HTTP or SSH repository URI, depending on the authentication mode that you configured during setup.
-
To clone the repository, use the
git clone
command.git clone
ssh://git-codecommit.us-east-2.amazonaws.com/v1/repos/my-app-repo
To add a DynamoDB table to the application, define an AWS::Serverless::SimpleTable
resource in the
template.
To add a DynamoDB table
-
Open
template.yml
in a text editor. -
Add a table resource, an environment variable that passes the table name to the function, and a permissions policy that allows the function to manage it.
Example template.yml - resources
... Resources:
ddbTable: Type: AWS::Serverless::SimpleTable Properties: PrimaryKey: Name: id Type: String ProvisionedThroughput: ReadCapacityUnits: 1 WriteCapacityUnits: 1
helloFromLambdaFunction: Type: AWS::Serverless::Function Properties: CodeUri: ./ Handler: src/handlers/hello-from-lambda.helloFromLambdaHandler Runtime: nodejs10.x MemorySize: 128 Timeout: 60 Description: A Lambda function that returns a static string.Environment: Variables: DDB_TABLE: !Ref ddbTable
Policies:- DynamoDBCrudPolicy: TableName: !Ref ddbTable
- AWSLambdaBasicExecutionRole -
Commit and push the change.
git commit -am "Add DynamoDB table"
git push
When you push a change, it triggers the application's pipeline. Use the Deployments tab of the application screen to track the change as it flows through the pipeline. When the deployment is complete, proceed to the next step.
Update the permissions boundary
The sample application applies a permissions boundary to its function's execution role. The permissions boundary limits the permissions that you can add to the function's role. Without the boundary, users with write access to the project repository could modify the project template to give the function permission to access resources and services outside of the scope of the sample application.
In order for the function to use the DynamoDB permission that you added to its execution role in the previous step, you must extend the permissions boundary to allow the additional permissions. The Lambda console detects resources that aren't in the permissions boundary and provides an updated policy that you can use to update it.
To update the application's permissions boundary
-
Open the Lambda console Applications page
. -
Choose your application.
-
Under Resources, choose Edit permissions boundary.
-
Follow the instructions shown to update the boundary to allow access to the new table.
For more information about permissions boundaries, see Using permissions boundaries for AWS Lambda applications.
Update the function code
Next, update the function code to use the table. The following code uses the DynamoDB table to track the number of invocations processed by each instance of the function. It uses the log stream ID as a unique identifier for the function instance.
To update the function code
-
Add a new handler named
index.js
to thesrc/handlers
folder with the following content.Example src/handlers/index.js
const dynamodb = require('aws-sdk/clients/dynamodb'); const docClient = new dynamodb.DocumentClient(); exports.handler = async (event, context) => { const message = 'Hello from Lambda!'; const tableName = process.env.DDB_TABLE; const logStreamName = context.logStreamName; var params = { TableName : tableName, Key: { id : logStreamName }, UpdateExpression: 'set invocations = if_not_exists(invocations, :start) + :inc', ExpressionAttributeValues: { ':start': 0, ':inc': 1 }, ReturnValues: 'ALL_NEW' }; await docClient.update(params).promise(); const response = { body: JSON.stringify(message) }; console.log(`body: ${response.body}`); return response; }
-
Open the application template and change the handler value to
src/handlers/index.handler
.Example template.yml
... helloFromLambdaFunction: Type: AWS::Serverless::Function Properties: CodeUri: ./ Handler:
src/handlers/index.handler
Runtime: nodejs10.x -
Commit and push the change.
git add . && git commit -m "Use DynamoDB table"
git push
After the code change is deployed, invoke the function a few times to update the DynamoDB table.
To view the DynamoDB table
-
Open the Tables page of the DynamoDB console
. -
Choose the table that starts with my-app.
-
Choose Items.
-
Choose Start search.
Lambda creates additional instances of your function to handle multiple concurrent invocations. Each log stream in the CloudWatch Logs log group corresponds to a function instance. A new function instance is also created when you change your function's code or configuration. For more information on scaling, see AWS Lambda function scaling.
Next steps
The AWS CloudFormation template that defines your application resources uses the AWS Serverless Application Model transform to simplify the syntax for resource definitions, and automate uploading the deployment package and other artifacts. AWS SAM also provides a command line interface (the AWS SAM CLI), which has the same packaging and deployment functionality as the AWS CLI, with additional features specific to Lambda applications. Use the AWS SAM CLI to test your application locally in a Docker container that emulates the Lambda execution environment.
AWS Cloud9 provides an online development environment that includes Node.js, the AWS SAM CLI, and Docker. With AWS Cloud9, you can start developing quickly and access your development environment from any computer. For instructions, see Getting started in the AWS Cloud9 User Guide.
For local development, AWS toolkits for integrated development environments (IDEs) let you test and debug functions before pushing them to your repository.
-
AWS Toolkit for JetBrains – Plugin for PyCharm (Python) and IntelliJ (Java) IDEs.
-
AWS Toolkit for Eclipse – Plugin for Eclipse IDE (multiple languages).
-
AWS Toolkit for Visual Studio Code – Plugin for Visual Studio Code IDE (multiple languages).
-
AWS Toolkit for Visual Studio – Plugin for Visual Studio IDE (multiple languages).
Troubleshooting
As you develop your application, you will likely encounter the following types of errors.
-
Build errors – Issues that occur during the build phase, including compilation, test, and packaging errors.
-
Deployment errors – Issues that occur when AWS CloudFormation isn't able to update the application stack. These include permissions errors, account quotas, service issues, or template errors.
-
Invocation errors – Errors that are returned by a function's code or runtime.
For build and deployment errors, you can identify the cause of an error in the Lambda console.
To troubleshoot application errors
-
Open the Lambda console Applications page
. -
Choose an application.
-
Choose Deployments.
-
To view the application's pipeline, choose Deployment pipeline.
-
Identify the action that encountered an error.
-
To view the error in context, choose Details.
For deployment errors that occur during the ExecuteChangeSet action, the pipeline links to a list of stack events in the AWS CloudFormation console. Search for an event with the status UPDATE_FAILED. Because AWS CloudFormation rolls back after an error, the relevant event is under several other events in the list. If AWS CloudFormation could not create a change set, the error appears under Change sets instead of under Events.
A common cause of deployment and invocation errors is a lack of permissions in one
or more roles. The pipeline
has a role for deployments (CloudFormationRole
) that's equivalent to the user permissions that you would use to update an AWS CloudFormation stack
directly. If you add resources to your application or enable Lambda features that
require user permissions, the
deployment role is used. You can find a link to the deployment role under Infrastructure in
the application overview.
If your function accesses other AWS services or resources, or if you enable features that require the function to have additional permissions, the function's execution role is used. All execution roles that are created in your application template are also subject to the application's permissions boundary. This boundary requires you to explicitly grant access to additional services and resources in IAM after adding permissions to the execution role in the template.
For example, to connect a function to a virtual private cloud (VPC), you need user permissions to describe VPC resources. The execution role needs permission to manage network interfaces. This requires the following steps.
-
Add the required user permissions to the deployment role in IAM.
-
Add the execution role permissions to the permissions boundary in IAM.
-
Add the execution role permissions to the execution role in the application template.
-
Commit and push to deploy the updated execution role.
After you address permissions errors, choose Release change in the pipeline overview to rerun the build and deployment.
Clean up
You can continue to modify and use the sample to develop your own application. If you are done using the sample, delete the application to avoid paying for the pipeline, repository, and storage.
To delete the application
-
Open the AWS CloudFormation console
. -
Delete the application stack – my-app.
-
Open the Amazon S3 console
. -
Delete the artifact bucket –
us-east-2
-123456789012
-my-app-pipe. -
Return to the AWS CloudFormation console and delete the infrastructure stack – serverlessrepo-my-app-toolchain.
Function logs are not associated with the application or infrastructure stack in AWS CloudFormation. Delete the log group separately in the CloudWatch Logs console.
To delete the log group
-
Open the Log groups page
of the Amazon CloudWatch console. -
Choose the function's log group (
/aws/lambda/my-app-helloFromLambdaFunction-
).YV1VXMPLK7QK
-
Choose Actions, and then choose Delete log group.
-
Choose Yes, Delete.


Class SpeechGrpc.SpeechImplBase (2.0.0)
public abstract static class SpeechGrpc.SpeechImplBase implements BindableService
Service that implements Google Cloud Speech API.
Implements
io.grpc.BindableService
Constructors
SpeechImplBase()
Methods
bindService()
public final ServerServiceDefinition bindService()
Returns
| Type |
Description |
| io.grpc.ServerServiceDefinition |
|
longRunningRecognize(LongRunningRecognizeRequest request, StreamObserver<Operation> responseObserver)
public void longRunningRecognize(LongRunningRecognizeRequest request, StreamObserver<Operation> responseObserver)
Performs asynchronous speech recognition: receive results via the
google.longrunning.Operations interface. Returns either an
Operation.error
or an Operation.response
which contains
a LongRunningRecognizeResponse
message.
For more information on asynchronous speech recognition, see the
how-to.
Parameters
recognize(RecognizeRequest request, StreamObserver<RecognizeResponse> responseObserver)
public void recognize(RecognizeRequest request, StreamObserver<RecognizeResponse> responseObserver)
Performs synchronous speech recognition: receive results after all audio
has been sent and processed.
Parameters
streamingRecognize(StreamObserver<StreamingRecognizeResponse> responseObserver)
public StreamObserver<StreamingRecognizeRequest> streamingRecognize(StreamObserver<StreamingRecognizeResponse> responseObserver)
Performs bidirectional streaming speech recognition: receive results while
sending audio. This method is only available via the gRPC API (not REST).
Parameter
Returns


---
layout: page
title: About me
---
At present I am part of the Institute for Risk and Uncertainty at the University of Liverpool.
My current work focuses on uncertainty quantification for engineering (and not only) computer models
through the DATA-CENTRIC project (with
Dr Alex Diaz ).
More info in
Projects.
My research interests are mainly in the areas of computational engineering for aircraft design, uncertainty quantification,
aerodynamics and machine learning (roughly in this order). I am particularly interested in the principled approach to uncertainty quantification for the design
of non-standard and innovative aerospace solutions.
Academic Background
I hold a PhD degree in computational engineering and uncertainty quantification from the University of Liverpool.
I got my Bachelor degree in aerospace engineering at the same university.
p (dot) hristov [at] liv (dot) ac (dot) uk
Institute for Risk and Uncertainty
University of Liverpool, UK


Welcome to the URSA Major website!
This is the web tool for the University of Minnesota at Morris' Undergraduate Research Symposium.
From this website, students have the ability to:
- Submit abstracts for the current academic year's URS.
- Check in on their submissions during the review and revision process.
- Modify their submission by "Resubmitting" it.
- View and make comments on their submissions.
- Look through past submissions that they have been a part of.
Additionally, this website provides the tools needed for URS committee members to manage submissions.
From this website, committee members have the ability to:
- Manage the status of submissions as they move through the revision process.
- Provide comments and feedback on submissions and abstracts.
- Approve changes made to submissions by students.
- Filter and sort through submissions they are responsible for.
When first logging in, be sure to go to "Account Information" and enter your t-shirt size for this year's URS.
To get started, all you need to do is log in below with a valid University of Minnesota email address.


Deductive Logic
by George William Joseph Stock, M.A.
Part 3: Chapter 16
Additional Information
- Year Published: 1888
- Language: English
- Country of Origin: England
- Source: Stock, G. W. J. (1888). Deductive Logic. Oxford, England; Pembroke College.
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 450
- Genre: Informational
- Keywords: math, math history
- ✎ Cite This
Downloads
PART III.—OF INFERENCES
CHAPTER XVI.
Of the Special Uses of the Four Figures.
648. The first figure is useful for proving the properties of a thing.
649. The second figure is useful for proving distinctions between things.
650. The third figure is useful for proving instances or exceptions.
651. The fourth figure is useful for proving the species of a genus.
FIGURE 1.
652.
B is or is not A.
C is B.
.’. C is or is not A.
We prove that C has or has not the property A by predicating of it B, which we know to possess or not to possess that property.
Luminous objects are material.
Comets are luminous.
.’. Comets are material.
No moths are butterflies.
The Death’s head is a moth.
.’. The Death’s head is not a butterfly.
FIGURE II.
653.
A is B. A is not B.
C is not B. C is B.
.’. C is not A. .’. C is not A.
We establish the distinction between C and A by showing that A has an attribute which C is devoid of, or is devoid of an attribute which C has.
All fishes are cold-blooded.
A whale is not cold-blooded.
.’. A whale is not a fish.
No fishes give milk.
A whale gives milk.
.’. A whale is not a fish.
FIGURE III.
654.
B is A. B is not A.
B is C. B is C.
.’. Some C is A. .’. Some C is not A.
We produce instances of C being A by showing that C and A meet, at all events partially, in B. Thus if we wish to produce an instance of the compatibility of great learning with original powers of thought, we might say
Sir William Hamilton was an original thinker.
Sir William Hamilton was a man of great learning.
.’. Some men of great learning are original thinkers.
Or we might urge an exception to the supposed rule about Scotchmen being deficient in humour under the same figure, thus—
Sir Walter Scott was not deficient in humour.
Sir Walter Scott was a Scotchman.
.’. Some Scotchmen are not deficient in humour.
FIGURE IV.
655.
All A is B, No A is B.
All B is C. All B is C.
.’. Some C is A .’.Some C is not A.
We show here that A is or is not a species of C by showing that A falls, or does not fall, under the class B, which itself falls under C. Thus—
All whales are mammals.
All mammals are warm-blooded.
.’. Some warm-blooded animals are whales.
No whales are fishes.
All fishes are cold-blooded.
.’. Some cold-blooded animals are not whales.


|
ForestPacking
|
#include <fpForestBase.h>
Public Member Functions | |
| virtual void | printForestType ()=0 |
| virtual void | growForest ()=0 |
| virtual float | testForest ()=0 |
Definition at line 6 of file fpForestBase.h.
|
pure virtual |
Implemented in fp::smallSampleBase< T >, fp::fpRerFBase< T >, and fp::fpForestClassificationBase< T >.
|
pure virtual |
Implemented in fp::fpRerFBase< T >, fp::fpForestClassificationBase< T >, and fp::smallSampleBase< T >.
|
pure virtual |
Implemented in fp::smallSampleBase< T >, fp::fpForestClassificationBase< T >, and fp::fpRerFBase< T >.


Whiley
ADMINISTRATION
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4 Hands-on 2
4.1 Key concepts: core, diversity, community variation
Next, let us familiarize with ecological concepts and methods for analysing microbiome profiling data.
Core microbiota Pick up the core microbiota including taxa that exceed 0.1% relative abundance in over 50% of the samples (prevalence). How many core taxa there are? You can read more about the core microbiota definition in Salonen et al. 2012
What is the most prevalent genus in the data (tip: microbiome::prevalence and sort)
Special properties of microbiome data: sparsity, compositionality, non-Gaussianity. Visualize the population distribution of abundances for the following taxa: Akkermansia, Dialister, Gemella. Do the same for CLR-transformed abundances.
Visualize the core microbiota (examples)
Alpha diversity Estimate taxonomic diversity for each sample (function microbiome::alpha). Compare the results between two or more diversity indices.
Beta diversity Visualize community variation with PCoA (examples).
Use PERMANOVA to investigate whether the community composition differs between obese and non-obese individuals. You can also include covariates such as age and gender, and see how this affects the results.
4.2 Special properties of microbiome data
Influence of the data transformations on statistical analysis Visualize community variation with PCoA with the following options: 1) Bray-Curtis distances for compositional data; 2) Euclidean distances for CLR-transformed data.
Differential abundance analysis: use DESeq2 to identify which genera are associated with gender differences (examples on DESeq2). For more explanation on the method, see DESeq2 R/Bioconductor. Note that controlling key covariates (diet, medication, age..) may have remarkable influence on data interpretation (Falony et al. Science 2016)


2021-01-27
We have plenty of action items coming up, let's get these on the
radar so we can plan effectively.
- The class repo has a template for the IDP (individual development plan) such
as will be used in our lab on Thursday. We will illustrate how to use this, and later invite
everyone to go over your Gallup materials in far more detail. Let's get full value. After
the lab, ttudy your support material, then conduct the IDP exercise thoughtfully, fill out
the IDP, and upload it to your personal folder (file "idp.*" appropriate to the format.) We
will also use this at end of the semester in order to shed light on how teaming worked out.
- All students have unlimited access to LinkedIn Learning, through the
campus portal. You may
recognize these from Lynda Training, which became incorporated into LI. You can't beat
the price and most of the materials of specific to us are compact. They won't chew up
more of your time than necessary. I strongly recommend you mine that resource for tips.
Check out in particular Chris Croft's
course on Teamwork Foundations, the site's business tutorials
Top 10 project management mistakes and how to avoid them and
Project management mistakes.
- We practice more tasks in the small (for cheap) in order have confidence later
when things become large (and expensive.)
Mailtools is a Linux-based system created in a prior 435.
All present 435 students should be able to access this project in our repository at
https://vis.cs.umd.edu/svn/projects/mailtools/src
(using appropriate SVN tools, of course.)
The simple (individual) exercise is to tell us about its "Space Invader" feature.
Who was its author, and how many commits are related to it (just this feature,
not the full Mailtools product)?
Don't agonize over answers; derive reasonable responses for each of the above questions,
place your answers in a file "svnfun.txt" and check it into the root folder of your personal
repository by 0700 on Wed, February 3rd.
The first group scrimmage is a two-foot putt: By 0700 on Friday, February 5th,
set up your assigned VM as a web server. Put up something that convinces skeptical visitors to
the site that the server is talking with some kind of database. Ensure your VM itself evidences
decent care, maintenance and security. Per conventions for group assignments, please submit a
cover sheet, according to the conventions for digital signatures with the template in your group
folder. This exercise will serve as a forcing function to get everyone on to a group in some form
or other; it will let us practice conventions for projects; and it will be a good opportunity
to practice following our "do the right thing" directive.
Heads up! Scrimmage exercise 2 will be due at COB that same Friday. This is also an easy
target (problem statement is below), but will require talking with your group in order to sort
it out. Write a "plan" for how you intend to solve the problem. The deliverable is this document
in Word format as "scrimmage02.docx". It should persuade me as an ostensible product
manager that you are on track and can solve my problem.
Scrimmage exercise 3 is due at COB the following Friday (12 February.) For this just follow
your plan, collect solutions and tell me how to find more such solutions on your VM.
(Foreshadowing: by that point we will have surveyed all sorts of simple ways that some
product can fail for want of technologists anticipating what users actually need. Your
mission is not to replicate such defects in this exercise! Don't just write a program;
write a reasonable program that lets me solve problems.)
The problem to solve for the above is this: For input of a closed
curve in 2-space, find four points on that curve which form a rectangle.
There, how's that for simple?
A few details you might need to know:
- We're not defining many details. "Do the right thing." By now I hope you're all
figuring out that ambiguity is something we erase by exercising initiative to find
what is necessary for mission success, not something we interpret for convenience.
The 'client' in this problem seeks a reasonable way to find these points; help him get them.
- Limit work to the VM as assigned. Figuring out how to manage the shared resource
and fit a solution inside is part of the exercise. Back doors to AWS servers won't fly.
- Anticipate offering a feature to confirm that points form a rectangle and are on
a given curve, so we have the option to check each other's work later.
- I'll offer sample data in the class repo later, but anticipate these
will be X/Y pairs in a text file, representing a sequence of piecewise linear
segments which make up the curve. An implied segment will connect the last to the first
point. In testing we will try other data of interest to the client.
- The above computation reaches
baseline goals. For those who find that computation too easy, we'll also look for not
just any rectangle, but also one having specific ratio of lengths of its sides.
|


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resources.resources_mongo package¶
Submodules¶
resources.resources_mongo.item module¶
-
class
resources.resources_mongo.item.
Item
[source]¶ Bases:
flask_restful.Resource
-
delete
()[source]¶ Delete an item from the data base
- Returns
return a custom response for the request when an item is deleted from the data base
- Return type
make_response Object
-
endpoint
= 'item'¶
-
get
(name)[source]¶ Get a list with the items matching the criteria of the name and makes a custom response object
- Parameters
name (str) – name of the item that the user has requested to get
the data base (from) –
- Returns
return a custom response for the request with the list of items that has matched the criteria of the request and each item is represented inside the list as a dictionary
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'DELETE', 'GET', 'POST'}¶ A list of methods this view can handle.
-
resources.resources_mongo.quality module¶
-
class
resources.resources_mongo.quality.
Quality
[source]¶ Bases:
flask_restful.Resource
-
endpoint
= 'quality'¶
-
get
(item_quality)[source]¶ Get the items from the data base that have the same quality
- Parameters
item_quality (int) – quality requested of the item
- Returns
return a custom response and display all requested items
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'GET'}¶ A list of methods this view can handle.
-
resources.resources_mongo.sell_in module¶
-
class
resources.resources_mongo.sell_in.
SellIn
[source]¶ Bases:
flask_restful.Resource
-
endpoint
= 'sellin'¶
-
get
(item_sell_in)[source]¶ Get the items from the data base that have the same sell_in
- Parameters
item_sell_in (int) – sell_in requested of the item
- Returns
return a custom response and display all requested items
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'GET'}¶ A list of methods this view can handle.
-
resources.resources_mongo.stock module¶
-
class
resources.resources_mongo.stock.
Stock
[source]¶ Bases:
flask_restful.Resource
-
endpoint
= 'stock'¶
-
get
()[source]¶ Get all the items from the data base
- Returns
return a custom response and display all items saved into the data base
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'GET'}¶ A list of methods this view can handle.
-
resources.resources_mongo.update_quality module¶
-
class
resources.resources_mongo.update_quality.
UpdateQuality
[source]¶ Bases:
flask_restful.Resource
-
endpoint
= 'updatequality'¶
-
get
()[source]¶ Update the quality and sell_in from all the items saved into the data base and once the process is finished will display all the items of the data base updated
- Returns
return a custom response and display all items saved and updated into the data base
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'GET'}¶ A list of methods this view can handle.
-
resources.resources_mongo.welcome module¶
-
class
resources.resources_mongo.welcome.
Welcome
[source]¶ Bases:
flask_restful.Resource
-
endpoint
= 'welcome'¶
-
get
()[source]¶ Display greeting from the shop that belongs the software
- Returns
return a custom response and display greeting from the shop that belongs the software
- Return type
make_response Object
-
mediatypes
()¶
-
methods
= {'GET'}¶ A list of methods this view can handle.
-


-
Pork BBQMain CourseComposed of sliced pork pieces, marinated in a special mixture of seasonings and spices
-
LasagnaMain CourseA rich pasta dish made with saucy ground beef meat sauce, layered with a creamy bechamel sauce and finally topped with lots of mozzarella cheese
-
Fried RiceMain CourseDish of cooked rice that has been stir-fried in a wok or a frying pan and is usually mixed with other ingredients such as eggs, vegetables, seafood, or meat.


| Jun 23, 2023 | Taught NLP and Language Models to high-school students via USC Viterbi K-12 Discover Engineering. Slides adapted from Greg Durrett (thanks!). |
|---|---|
| May 26, 2023 | Made an appearance on ABC7 Live where I talked about the impact of AI. |
| May 9, 2023 | New preprint on NeuroComparatives now available! |
| May 2, 2023 | Three papers accepted to ACL 2023: REV and I2D2 at the main conference and COBRA to Findings. |
| Apr 27, 2023 | New Preprint on Ambiguity in natural language and how LLMs handle it: AMBIENT. |
| Apr 5, 2023 | Got invited as a speaker at the USC Sidney Harmon Academy for Polymathic Studies for a discussion with Kate Crawford on AImaginings, a discussion on AI’s potential to memorize and imagine. |
| Feb 28, 2023 | Got featured in an USC Viterbi news article on ChatGPT. |
| Feb 28, 2023 | Gave an invited talk on Designing Controls and Filters for Dataset Generation at Spotify Research Seminar. |
| Feb 3, 2023 | Gave an invited talk on Interpreting datasets to enable better data creationat the Data-Centric AI seminar series at Amazon. |
| Feb 1, 2023 | Gave an invited talk on Contextualizing Bias in Hate Speech Detection at the CAIS++ Seminar. |
| Jan 20, 2023 | Submitted four long papers to ACL along with collaborators from AI2, UW, CMU and Intel. |
| Dec 10, 2022 | Taught a class on Data-Centric Machine Learning at the Online Asian Machine Learning School (OAMLS) at ACML 2022. |
| Nov 29, 2022 | Heading over to EMNLP 2022 in Abu Dhabi next week, hope to meet lots of old and new friends! |
| Nov 21, 2022 | Was interviewed by the MIT Technology Review on dataset quantity and quality: read the coverage here. |
| Nov 18, 2022 | Attended the SoCalNLP Symposium hosted by UCSB, along with the DILL Lab. Gave an invited talk on my research on generating datasets! |
| Nov 9, 2022 | Gave an invited talk at the USC CAIS Seminar on my research on Hate Speech Detection - watch it here! |
| Nov 8, 2022 | Presented an overview of my research to the USC Viterbi CS Department Advisory Board. |
| Oct 6, 2022 | Three papers accepted to EMNLP / Findings: WaNLI, NeuroCounterfactuals and Investigating Free-Form Rationales. |
| Aug 22, 2022 | Started teaching my first class: CSCI 699 - Data-Centric NLP. |
| Aug 16, 2022 | Started as an Assistant Professor of Computer Science at USC Viterbi School of Engineering, where I’m launching the DILL Lab. |
| Jul 29, 2022 | Last day as a Young Investigator at AI2… I’ll miss being here but so excited about USC! |
| Jul 19, 2022 | Super thrilled to receive an outstanding paper award at ICML 2022 for our work on V-info! |
| Jul 17, 2022 | Attending ICML 2022 virtually, where Kawin be presenting our work on understanding dataset difficulty. |
| Jul 14, 2022 | Had a blast serving as a panelist in the DADC workshop at NAACL. Also our DeepLo 2022 Workshop was quite successful! |
| Jul 10, 2022 | Attending NAACL 2022, where we’ll be presenting Reframing Human-AI Collaboration and Annotators with Attitudes. |
| Jun 17, 2022 | Served as a panelist on the Responsible AI Symposium 2022 for AILA. |
| May 23, 2022 | Honored to have been voted as an invited speaker for ACL STIRS, where I presented my work on datasets! |
| May 15, 2022 | Paper on Dataset Difficulty with my former intern, Kawin Ethayarajh, now accepted at ICML as a long presentation. |
| May 13, 2022 | Had a wonderful time visiting UC Irvine at the CS Seminar; first in-person invited talk for me in a long time! |
| Apr 15, 2022 | We hired a brilliant new incoming cohort of PhD students at USC NLP for Fall 2022! More details soon! |
| Apr 7, 2022 | Two upcoming papers at NAACL: Annotators with Attitudes and Reframing Human-AI Collaboration for Generating Free-Text Explanations. |
| Mar 16, 2022 | Excited to present work on Dataset Construction at IFDS Ethics Seminar and at MilaNLP’s Coding Aperitivo this week. |
| Jan 15, 2022 | New preprint on WaNLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. |
| Dec 16, 2021 | New preprint on Human-AI Collaboration for Generating Free-Text Explanations with Jack Hessel and our intern, Sarah Wiegreffe. |
| Nov 30, 2021 | 🏆 Our paper on MAUVE received an outstanding paper award at NeurIPS 2021 making it one of 6 papers out of 9K submissions! |
| Nov 21, 2021 | The third edition DeepLo for NLP workshop to be collocated with NAACL 2022. |
| Nov 15, 2021 | New preprint on Annotators with Attitudes, presented at the Text as Data conference. |
| Oct 20, 2021 | Invited virtual talk at the Machine Learning Research Group at Oracle. |
| Oct 15, 2021 | New preprint on Information-Theoretic Measures of Dataset Difficulty with my intern, Kawin Ethayarajh. |
| Oct 12, 2021 | Attended the Trustworthy NLP Workshop at Google. |
| Sep 28, 2021 | Paper on MAUVE, an Information Divergence Measure between Neural Text and Human Text, accepted as a NeurIPS 2021 oral! |
| Sep 13, 2021 | Paper on Data Augmentation for Frame-SRL, based on a pre-posal with Miriam R. L. Petruck to appear at the LAW-DMR workshop at EMNLP 2021. |
| Sep 7, 2021 | Abstract on Biases in Toxic Language Detection:The Role of Annotator Beliefs And Demographics accepted to Text As Data 2021. Full paper coming soon! |
| Aug 26, 2021 | Paper with my intern, Alon Jacovi, on Contrastive Explanations for Model Interpretability to appear at EMNLP 2021. |
| May 5, 2021 | Paper on On-the-Fly Controlled Text Generation with Experts and Anti-Experts to appear at ACL 2021. |
| Mar 4, 2021 | Guest lecture on Transfer Learning at UW Stats: UW DATA 598 Statistical Deep Learning, taught by Zaid Harachoui. |
| Mar 1, 2021 | Check out our new pre-print on contrastive explanations for model decisions! Work with my intern Alon Jacovi and others! |
| Feb 24, 2021 | Talk at the NERT Seminar at Georgetown University! So honored to be an elected speaker :) |
| Feb 12, 2021 | Invited talk at the NLP Seminar at Georgia Tech! |
| Feb 3, 2021 | Check out our new pre-print on an evaluation metric for open-ended text generation, MAUVE ! |
| Feb 1, 2021 | New ACL submission on controlled generation, with exciting applications. Keep an eye out! |
| Jan 11, 2021 | Paper on Challenges in Social Bias Mitigation in Hate Speech Detection to appear at EACL 2021! |
| Dec 3, 2020 | Guest lecture in Eunsol Choi’s Topics in NLP class at UT Austin on Biases and Interpretability. |
| Nov 2, 2020 | Was delighted to be an invited speaker for Responsible AI at the Microsoft E+D Product Leaders Conference. |
| Sep 15, 2020 | Paper on Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics is now accepted to the Proceedings of EMNLP, and GDaug is accepted to Findings of EMNLP. |
| Aug 13, 2020 | Completed one year as a postdoctoral investigator at AI2! |
| Jul 8, 2020 | Our paper Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks received an Honorable Mention Award at ACL 2020! |
| Jun 3, 2020 | New submission to EMNLP finally done, shoot me an email if you’d like to learn more. |
| May 31, 2020 | Our paper on Adversarial Filters of Dataset Biases has been accepted to ICML! |
| Apr 11, 2020 | New EMNLP preprint on Generative Data Augmentation for Commonsense Reasoning, or G-DAUG now available on arXiv. |
| Apr 3, 2020 | Two papers accepted to ACL! Kudos to my wonderful collaborators on Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks and The Right Tool for the Job: Matching Model and Instance Complexities. |
| Feb 2, 2020 | New preprint on Adversarial Filters of Dataset Biases now available on arXiv. |
| Oct 17, 2019 | Invited talk at the UW Linguistics Colloquium on Oct 18, 2019. |
| Oct 2, 2019 | Got selected to attend the Rising Stars in EECS workshop at the University of Illinois at Urbana-Champaign from Oct 29 - Nov 1, 2019. |
| Sep 25, 2019 | Submitted our latest paper to ICLR 2020. |
| Aug 13, 2019 | Joined AI2 as a Postdoctoral Young Investigator. |
| Jun 2, 2019 | Presented our tutorial on Transfer Learning in Natural Language Processing at NAACL 2019 in Minnesota. |
| May 8, 2019 | Defended my PhD thesis! |


Algorithms for Perception, Planning, and Control
Russ Tedrake
Click here if you are not automatically redirected.


I'm A Celebrity campmates rage over food hoarding discovery - with two to blame
I'm A Celebrity's James Haskell, Andrew Maxwell and Ian Wright were pretty annoyed to learn two campmates hadn't been providing enough food
by Irishmirror.ieI'm A Celebrity aired a food hoarding discovery on Monday that left a number of campmates raging.
Two of the gang, Nadine Coyle and Myles Stephenson, were blamed for the awkward mix-up that had left the stars super hungry this week, significantly the day before.
Nadine and Myles had been placed in charge of the cooking by camp leader James Haskell hence the blame laying with them, as it emerged a number of bags of food hadn't been used.
Instead, they'd been kept in the trunk, with no one appearing to even know they were there - despite the stars complaining of hunger.
As James had a search through the trunk in the latest episode, he suddenly found extra food they didn't realise existed.
But it wasn't just one, two, maybe three bags - James found 21 extra bags of beans uneaten.
Not only that, but there wasn't the same amount of rice to match.
While they tend to keep a few back in case the camp have a smaller meal another day, or generally get hungry around lunchtime, 21 is far too much to be hoarding.
James told his campmates: "We have got to be way better at this food organisation, we’ve got 21 beans in here."
A hungry Ian shouted: "What?! And we are getting the same amount of rice to beans?”

She confessed: "When we are putting them on we are putting just three of four bags on instead of the amount of people there are.”
Andrew Maxwell complained: "It’s madness. We had such a tiny portion of beans yesterday.”
James went on: "It’s because people aren’t organising them properly by putting them in a box so you can see what you’ve got….I’m not going to have a go at Myles because he’s doing such a brilliant job or Nadine because she’s so lovely but we’ve got to have a conversation.
“I’d delegated catering admin to a couple of other people but I’m now going to take over it myself to make sure we don’t find hoarded food because yesterday everyone was flagging.”
Ian later said in the Bush Telegraph: "Everyone was sitting there hungry yesterday not realising that we’ve got 21 packets of beans!" with Andrew adding: "We didn’t need to go hungry at all yesterday."
I'm A Celebrity continues nightly at 9pm on ITV.


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This was a test designed to demonstrate my front end development skills.
The file data.json
contains the monthly number of broadcasts per BBC channel for the year 2009.
For this test, I had to:
I had to do this with standard JavaScript. This meant I could not use a library or jQuery plugin to create the table for me. jQuery could still be used for DOM manipulation.
I also provided a visualisation of the data in the form of a line chart. The user is able to navigate between the table and the chart with tabs.
Chart.js was used to create the chart.


OSMOSIS JONES (2001) Rated PG; running time 95 minutes Genre: Live action and animated Seen at: Jack Lokes' Celebration Cinema (Lansing, Michigan) Official site: http://www.osmosisjones.com/ IMDB site: http://us.imdb.com/Details?0181739 Written by: Marc Hyman Directed by: Piet Kroon, Tom Sito (animation); Peter and Bobby Farrelly (live action) Cast: Chris Rock, David Hyde Pierce, Laurence Fishburne, Brandy, William Shatner, Ron Howard, Joel Silver (voice) Bill Murray, Elena Franklin, Molly Shannon, Chris Elliott (live-action)
Review Copyright Rose Cooper, 2001 Review URL: http://www.3blackchicks.com/bamsosmosis.html
The hardest part about 3BC having been more or less down for two weeks, is coming back to review new movies that I really didn't want to watch. AMERICAN PIE 2? Ewww. THE OTHERS? Not my speed. SPY KIDS, The Director's Cut? Fat chance. And as queasy as I am, the thought of watching the grossout humor of OSMOSIS JONES just wasn't twisting my throttle. But a Chick's gotta review *something*, I reckon; and there is the matter of one Laurence Fishburne, with a little David Hyde Pierce, being part of the action. In the end, Fishburne and Pierce they almost cancelled out the Farrelly Brothers' influence. Well, almost.
The Story (WARNING: **spoilers contained below**) Frank Pepperidge is, in a word, filthy - inside and out. A misunderstood widower, only his daughter Shane (Elena Franklin) seems to be trying to help Frank find a clue again; Shane constantly fights a losing battle to get Frank to eat healthy, exercise, and generally live right, but not even a stint in the Army can help Fr...oops, wrong movie. Uh...Frank's equally nasty bud Bob (Chris Elliott) is as codependent as they come; and after Frank...loosed himself on Shane's teacher Mrs. Boyd (Molly Shannon), Frank's gettin' no love from that side of the aisle, either.
But Frank has a whole crew waiting in the wings to help him. Actually, they're waiting inside Frank's body: fighting off colds, allergies, Twinkies, and the occasional monkey-handled egg, are a team of hard-working antibodies and white-blood cells, the most strident of which is Officer Osmosis Jones (voice of Chris Rock). Due to a bad history old Ozzie has with his Police Chief (Joel Silver), Oz is initially banished to patrolling the boring mouth sector of The City Of Frank; but when Cold Tablet Drixoral (David Hyde Pierce) is dispatched to fight off what the Chief, Mayor Phlegmming (William Shatner), and Brand...I mean, the Mayor's assistant, Leah (Brandy) think is merely a cold virus, Ozzie is assigned to help Drix relieve Frank's symptoms. What begins as a routine cleanup of the sewer that is Frank, though, soon turns into Something Else, when Ozzie discovers that a SuperVirus named Thrax (Laurence Fishburne) is out to terminate Frank.
[Man, does that look weird typed-out.]
The Upshot: I can describe OSMOSIS JONES in three words: "punny", "nasty", and "PG". That last bit - that is, the film's PG rating - holds the key to its lack of success, I think; and, keeping my disdain for the Farrellys' previous effort, ME, MYSELF & IRENE in mind, my acknowledgement of that rating's shortcomings is also the source of some discomfort for me.
You see, I opine that with that rein-in-the-madcap PG rating acting as an albatross hanging around its neck, OSMOSIS JONES didn't, *couldn't*, go far enough in making itself funnier to adult viewers. In our abbreviated audience (the empty seats, no doubt, were due to the throngs who rushed to see Pie Deux), you could hear a pin drop as pun after pun fell on deaf ears: the adults who thought the humor was merely "cute", and the kidlets who'd forgotten everything they knew about the "science" of OSMOSIS JONES well before summer break began.
That's too bad, too; I really wanted OJ [sorry] to succeed. Certainly, the cast should have been up for it; with its collection of comics, humorists, and damn fine actors, one would think OJ's success was written in the stars. To be sure, Fishburne tore it up as Thrax, the baddest mutha of a germ this side of ebola - though I couldn't help but think about the inherent problems with trying to make a seemingly AIDS-like virus, *funny*; that Sir Laurence succeeded, and playfully so, is a testament to just how great an actor he is, even with this type of material. Pierce, an equally great comic actor in his own right (if you've never seen this modern-day Buster Keaton as "Niles" from FRASIERR, you don't know what you've been missing), made a wonderful Drix, though I was reminded of his similar voice acting in A BUG'S LIFE; the comparison is favorable, but still, too similar.
Bill Murray reinvented his CADDYSHACK character, though besides the icky subject matter itself, Murray's character was the other primary reason I hesitated on going to see OSMOSIS JONES in the first place; I had hoped Murray would've gotten past all of that by now. Watching Murray Go There Again was distressing, much the same as if, for instance, Steve Martin suddenly picked up his Wild And Crazy Guy schtick again...ewww. Still, a slovenly Frank was necessary for OJ to work - and my reservations aside, I can think of no better actor to have played this slob than Murray. As for the balance of the cast, I had to be reminded that William "KHAAAAN!" Shatner voiced The Mayor Of Frank, so my Issues weren't really with him, nor was it with Ron "Opie" Howard's brief punny bit as Tom Colonic, the Mayor's chief rival, or singer Brandy as The Mayor's headstrong assistant, Leah. Even Chris Rock, who normally gets on my nerves in too large a dose, was quite tame as OSMOSIS JONES.
Aye, there's the rub. Rock was tame; *too* tame, methinks. He tried hard, but even with the likes of Fishburne and Pierce helping to class up the joint, he couldn't seem to elevate OSMOSIS JONES beyond the its punny nature, saddled with the limitations of its diluted grossout humor. Look for a few chuckles here and there, a couple of good lines (Fishburne has the best one late in the movie), and a cute riff on Fishburne's THE MATRIX - but don't expect too much here. Like I said, too bad.
Bammer's Bottom Line: Surely, there must be a compromise between the all-out illness of an R-rated "Irene" and the cute but PG-weakened punnyness of an OSMOSIS JONES, some middle ground where adults can get their laugh groove on without having our intelligence insulted, isn't there? I'm still looking for that middle ground - though you'll notice I'm not holding my breath.
OSMOSIS JONES (rating: flashing yellowlight): Diagnosis: too much Farrelly, not enough funny.
Rose "Bams" Cooper Webchick and Editor, 3BlackChicks Review Entertainment Reviews With Flava! Copyright Rose Cooper, 2001 EMAIL<EMAIL_ADDRESS>http://www.3blackchicks.com/
========== X-RAMR-ID: 29217 X-Language: en X-RT-ReviewID: 244212 X-RT-TitleID: 1109255 X-RT-SourceID: 447 X-RT-AuthorID: 3672
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Related links: index of all rec.arts.movies.reviews reviews


{% extends "base.html" %} {% block title %}Registration Successful{% endblock %} {% block head %} Registration Completed Successfully {% endblock %} {% block content %}
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--- layout: post title: Linux Poster Boy Talks about SCM tags: - Application Lifecycle Management - Software Configuration Management - Software Development - Work Practices status: publish type: post published: true meta: {} --- Códice Software: Linus Torvalds on GIT and SCM
speech Linus Torvalds gave some days ago at Google, basically talking about GIT and Source Control ManagementCodice Software have a nice blog entry about Linus' presentation on Source Control Management. He does a nice job of expounding on the value of distributed version control -- worth watching. There is further analysis by Kyle Cordes However one question that is not obvious with distributed SCM is how to link commits to issues in the bug database. Do we we need a replicated bug database? If we we record the commit in a central database then we have a problem because we may not have access to the corresponding code... [youtube=http://www.youtube.com/watch?v=4XpnKHJAok8]
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FlowLayout
and
Boxlayout
You have reached the end this chapter. You may wish to review the following. Click on a blue subject that interests you to go to where it was discussed. To get back here, click on the "back arrow" button of your browser.
setResizable()
method.


_COUNTS_
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AIME 2021 - I¶
2. Number Theory - Divisor¶
2.1 Problem 3, PURPLE COMET! MATH MEET April 2020
Problem 3:
Find the number of perfect squares that divide 2020.
2.2 2020 AIME II Problems/Problem 1
Problem.
Find the number of ordered pairs of positive integers \((m, n)\) such that \(m^2n = 20^{20}\).
Take look at Algebra Problems
->


In order to help advanced users with a series of samples of possibilities, we've created the 'Kitchen Sink' watch face. This watch face isn't very useful for telling time, but you can use Inspection Mode to see how we achieve certain animations and effects here at Facer HQ.
You can open the watch in inspector mode to see how it all works: https://www.facer.io/watchface/1WkGlWDQzf/inspect Feel free to make changes, nothing will get saved so you're free to play!
We'll go through a couple of specific expressions used in the watch face:
Fade In / Fade Out
These recipes cover 3 behaviors: Fade in when the watch wakes up, Fade out when the watch wakes up, or Fade In/Out on a loop. Note: To see the fade in & fade out elements in our sample, you'll need to toggle between Active/Dim mode while the time machine is running at normal speed.
Recipe for Fade In When the Watch Wakes:
Property: Transparency
((interpAccel(#DWE#, 0, 2, 2)*100))
Recipe for Fade Out When the Watch Wakes:
Property: Transparency
(100-(interpAccel(#DWE#, 0, 2, 2)*100))
Recipe for Looping Fade In & Fade Out:
Property: Transparency
((sin(#DWE#*5))*50+50)
Pendulum Motion
Allow an element to move as if swinging from a string
Recipe for Pendulum Motion:
Property: Rotation
(sin(#DWE#*2)*50)
"Breathing" Motion
Have an element cycle properties easing in & out, to create a 'breathing' effect
Recipe for Breathing Opacity:
Property: Transparency
((sin(#DWE#*2)*60)+50)
Recipe for Breathing Size:
Property: Radius
((sin(#DWE#*2)*40)+50)
Basic Orbit
Orbit an element in a circular motion
Recipe for Basic Orbit:
Property: X Position
(160 + sin(#DWFSS#/4)*50)
Property: Y Position
(160 + cos(#DWFSS#/4)*50)


It shouldn't be hard to store and retrieve configuration values
ConfigAdapter is a C# library targetting .NET 5 and .NET 6 that allows you to easily manage settings files. It offers support for several file formats.
Forget about file parsing and splitting strings. ConfigAdapter takes care of all that, leaving you to care for what actually matters!
You can group related settings inside a category, list all categories, and delete entire categories.
For adventurous souls, receive all settings as IEnumerable. Then use LINQ to cast some black magic!
Use Intellisense to help guide you. ConfigAdapter helps you discover and operate its functionality the way you expect to.
Choose the preferred format for your configuration, and convert settings from one format to another with a simple method call.
ConfigAdapter can be used from .NET Framework, .NET Core apps, UWP, Mono and Xamarin. It also supports the latest features in C#.
Head over to the Download page to get information on how to use ConfigAdapter in your projects, as well as where to find the source repository, should it be needed.