| Package | Description |
|---|---|
| opennlp.tools |
Contains packages which solve common NLP tasks.
|
| opennlp.tools.chunker |
Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
|
| opennlp.tools.dictionary |
Package related to parsing and storing dictionaries.
|
| opennlp.tools.dictionary.serializer | |
| opennlp.tools.doccat |
Package for classifying a document into a category.
|
| opennlp.tools.entitylinker | |
| opennlp.tools.formats |
Experimental package related to converting various corpora to OpenNLP Format.
|
| opennlp.tools.formats.ad | |
| opennlp.tools.formats.brat | |
| opennlp.tools.formats.convert | |
| opennlp.tools.formats.frenchtreebank | |
| opennlp.tools.formats.muc | |
| opennlp.tools.formats.ontonotes | |
| opennlp.tools.lemmatizer | |
| opennlp.tools.ml | |
| opennlp.tools.ml.maxent |
Provides main functionality of the maxent package including data structures and
algorithms for parameter estimation.
|
| opennlp.tools.ml.maxent.io |
Provides the I/O functionality of the maxent package including reading
and writting models in several formats.
|
| opennlp.tools.ml.maxent.quasinewton | |
| opennlp.tools.ml.model | |
| opennlp.tools.ml.perceptron | |
| opennlp.tools.namefind |
Package related to finding proper names and numeric amounts.
|
| opennlp.tools.ngram |
Package related to computing and storing n-gram frequencies.
|
| opennlp.tools.parser |
Package containing common code for performing full syntactic parsing.
|
| opennlp.tools.parser.chunking |
Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
|
| opennlp.tools.parser.lang.en | |
| opennlp.tools.parser.lang.es | |
| opennlp.tools.parser.treeinsert |
Package containing experimental code for performing full syntactic
parsing using attachment decisions.
|
| opennlp.tools.postag |
Package related to part-of-speech tagging.
|
| opennlp.tools.sentdetect |
Package related to identifying sentece boundries.
|
| opennlp.tools.sentdetect.lang | |
| opennlp.tools.sentdetect.lang.th |
Package related to the processing of Thai data.
|
| opennlp.tools.stemmer | |
| opennlp.tools.stemmer.snowball | |
| opennlp.tools.tokenize |
Contains classes related to finding token or words in a string.
|
| opennlp.tools.tokenize.lang | |
| opennlp.tools.tokenize.lang.en | |
| opennlp.tools.util |
Package containing utility data structures and algorithms used by multiple other packages.
|
| opennlp.tools.util.eval | |
| opennlp.tools.util.ext |
Package containing extension loading code.
|
| opennlp.tools.util.featuregen |
This package contains classes for generating sequence features.
|
| opennlp.tools.util.model |
Copyright © 2015 The Apache Software Foundation. All rights reserved.


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| energy | isotope | halflife | percentage |
|---|
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| Gross count(with BG) | |
| Net count(w/o BG) |
■ selected region
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{% extends "about-base.html" -%} {%- block title -%} Builds {%- endblock title -%} {%- block body -%} {%- set docsrs_repo = "https://github.com/rust-lang/docs.rs" -%}
Docs.rs automatically builds documentation for crates released on crates.io. It may take a while to build your crate, depending on how many crates are in the queue.
All crates are built in a sandbox using the nightly release of the Rust compiler.
{%- if rustc_version %}
The current version in use is {{ rustc_version }}
.
{%- endif -%}
The README of a crate is taken from the readme
field defined in
Cargo.toml
. If this field is not set, no README will be displayed.
To recognize Docs.rs from build.rs
files, you can test for the environment variable DOCS_RS
, e.g.:
{% filter dedent(levels=4) -%}
if let Ok(_) = std::env::var("DOCS_RS") {
// ... your code here ...
}
{%- endfilter %}
This approach can be helpful if you need dependencies for building the library, but not for building the documentation.
You can configure how your crate is built by adding package metadata to your Cargo.toml
, e.g.:
{% filter dedent -%}
[package.metadata.docs.rs]
rustc-args = ["--cfg", "docsrs"]
{%- endfilter %}
Here, the compiler arguments are set so that #[cfg(docsrs)]
(not to be confused with #[cfg(doc)]
) can be used for conditional compilation.
This approach is also useful for setting cargo features.
The Docs.rs README describes how to build unpublished crate documentation locally using the same build environment as the Docs.rs build agent.
Missing dependencies are a common reason for failed builds. Docs.rs dependencies are managed through crates-build-env. See Forge for how to add a dependency.
Most of the sandbox is a read-only file system, including the source directory of your crate and its dependencies.
If your build.rs
generates files that are relevant for documentation, consider writing to the
cargo output directory,
passed in the environment variable OUT_DIR
.
All the builds are executed inside a sandbox with limited resources. The current limits are:
{{ macros::crate_limits(limits=limits) }}If your build fails because it hit one of these limits, please open an issue to get them increased for your crate. Since our build agent has finite resources, we have to consider each case individually. However, there are a few general policies:
If your crate fails to build for a reason not listed here, please file an issue. Some build failures can be fixed by Docs.rs, e.g., by issuing a rebuild after a bug in Docs.rs has been fixed.


The next project after football-datascience was learning the basics for the vinyl/laesr cutter
and Corell draw (the program we use to create cutting templates for the machine). The first thing we had to do was
find a raster image off the internet that we would like to cut out as a sticker.
For my raster image, I just chose a generation 1 Decepticon logo cause I'm a Transformers nerd.
Next I copy and pasted the image into Corell and vectorized it before removing its color
and outlining it in black.
I then took the new vector image and put it on a flash drive before taking it down to the laser/ vinyl cutter.
Next I plugged the flash drive and chose a color for the vinyl sticker while Mr. Rice set up the cutting blade on the vinyl cutter
and got the cutting template ready to go. He then ran the cutter and 5 minutes later I got my Decepticon sticker
which I put on the back of my Chromebook.
Raster image: An image that is entirely made out of pixels.
Vector image: An image that is entirely made out of vectors (straight lines)
of various sizes and lengths.
Vectorization: Changing an image from a raster image to a vector image.


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uploaded on: {{i.date}}
title: {{i.title}}
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Uploaded by:


MaxSchorer.com
Home
Projects
About
Contact
Game of Thrones Dashboard
Choose Character:
{{character.name}}
Character
{{episode}}
{{character.code}}
{{character.rawCntByEp[i]}}


Alpine skiing: American Shiffrin breaks Stenmark's record for slalom wins
(Reuters) - Defending slalom champion Mikaela Shiffrin claimed her 41st World Cup title in the season opener in Levi, Finland on Saturday, surpassing Swedish great Ingemar Stenmark’s all-time record tally.
American Shiffrin, who came into the second run behind Slovakia’s Petra Vlhova, made a flying start and came through a difficult middle section to finish with a time of 58.79 seconds.
Vlhova crashed out early in her second, handing Shiffrin victory.
“I feel a little bit lucky with this win, but I also feel good with my skiing so I’m happy,” double Olympic champion Shiffrin said.
Shiffrin eclipsed a 32-year-old mark set by Stenmark, who won 40 slaloms between 1974 and 1987.
Swiss Wendy Holdener finished runner-up with the second-best time of the second run and an overall time of 1:59:35.
Austrian Katharina Truppe came third to claim her first career World Cup podium finish.


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Notebook for
Hit Refresh
Satya Nadella
Chapter 1: From Hyderabad to Redmond
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The answers were hard to pull out, even though they were just beneath the surface. Fear: of being ridiculed; of failing; of not looking like the smartest person in the room. And arrogance: I am too important for these games.
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For as long as I can remember, I’ve always had a hunger to learn—whether it be from a line of poetry, from a conversation with a friend, or from a lesson with a teacher. My personal philosophy and my passion, developed over time and through exposure to many different experiences, is to connect new ideas with a growing sense of empathy for other people. Ideas excite me. Empathy grounds and centers me.
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Each leader was no longer solely employed by Microsoft, they had tapped into a higher calling—to employ Microsoft in pursuit of their personal passions to empower others. It was an emotional and exhausting day, but it set a new tone and put in motion a more unified leadership team. At the end of the day, we all came to the same stark realization: No one leader, no one group, and no one CEO would be the hero of Microsoft’s renewal. If there was to be a renewal, it would take all of us and all parts of each of us. Cultural transformation would be slow and trying before it would be rewarding.
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Every person, organization, and even society reaches a point at which they owe it to themselves to hit refresh—to reenergize, renew, reframe, and rethink their purpose. If only it were as easy as punching that little refresh button on your browser. Sure, in this age of continuous updates and always-on technologies, hitting refresh may sound quaint, but still when it’s done right, when people and cultures re-create and refresh, a renaissance can be the result. Sports franchises do it. Apple did it. Detroit is doing it. One day ascending companies like Facebook will stop growing, and they will have to do it too.
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She always believed in doing your thing, and at your pace. Pace comes when you do your thing. So long as you enjoy it, do it mindfully and well, and have an honest purpose behind it, life won’t fail you. That has stood me in good stead all my life.
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about a switch to investment banking. I had gotten into the full-time program at University of Chicago, but Teper said, “You should just join us straightaway.” I decided to do both. I was able to switch my admission to the part-time program at Chicago, but then never told anyone that I was flying to Chicago for weekends. I finished my MBA in two years and was glad I did.
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Much later, one of my colleagues, Kunal Bahl, did quit Microsoft when his H1B ran out and his green card had not yet arrived. He returned to India and then founded Snapdeal, which today is worth more than $1 billion and employs five thousand people.
Chapter 2: Learning to Lead
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The first principle is to compete vigorously and with passion in the face of uncertainty and intimidation.
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It showed me that you must always have respect for your competitor, but don’t be in awe. Go and compete.
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On reflection, a second principle is simply the importance of putting your team first, ahead of your personal statistics and recognition.
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The lesson? One brilliant character who does not put team first can destroy the entire team.
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He was an empathetic leader, and he knew that if I lost my confidence it would be hard to get it back. That is what leadership is about. It’s about bringing out the best in everyone. It was a subtle, important leadership lesson about when to intervene and when to build the confidence of an individual and a team. I think that is perhaps the number one thing that leaders have to do: to bolster the confidence of the people you’re leading.
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Building Bing taught us about scale, experimentation-led design, applied ML, and auction-based pricing. These skills are not only mission critical at our company, but highly sought after throughout today’s technology universe.
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few tasks are more difficult than building a lasting institution. The choice of leading through consensus versus fiat is a false one. Any institution-building comes from having a clear vision and culture that works to motivate progress both top-down and bottom-up.
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In my meetings with customers I would usually bring other leaders and engineers along so that we could learn together. On one trip to the Bay Area, we met with several startups. It became clear that we needed to support the Linux operating system, and we had already taken some rudimentary steps toward that with Azure. But as Scott Guthrie and our team walked out of those meetings that day, it was certain that we needed to make first-class support for Linux in Azure. We made that decision by the time we got to the parking lot.
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This may sound like a purely technical dilemma, but it also posed a profound cultural challenge. Dogma at Microsoft had long held that the open-source software from Linux was the enemy. We couldn’t afford to cling to that attitude any longer. We had to meet the customers where they were and, more importantly, we needed to ensure that we viewed our opportunity not through a rearview mirror, but with a more future-oriented perspective. We changed the name of the product from Windows Azure to Microsoft Azure to make it clear that our cloud was not just about Windows.
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A leader must see the external opportunities and the internal capability and culture—and all of the connections among them—and respond to them before they become obvious parts of the conventional wisdom.
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It’s an art form, not a science. And a leader will not always get it right. But the batting average for how well a leader does this is going to define his or her longevity in business.
Chapter 3: New Mission, New Momentum
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Steve Jobs understood what the soul of a company is. He once said that “design is the fundamental soul of a man-made creation that ends up expressing itself in successive outer layers of the product or service.” I agree. Apple will always remain true to its soul as long as its inner voice, its motivation, is about great design for consumer products. The soul of our company is different. I knew that Microsoft needed to regain its soul as the company that makes powerful technology accessible to everyone and every organization—democratizing technology.
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It might be easy to be motivated to change through envy. We could envy what Apple had built with its iPhone and its iPad franchise, or what Google had created with its low-cost Android phones and tablets. But envy is negative and outer-directed, not driven from within, and so I knew that it wouldn’t carry us very far down the path to true renewal.
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We could also motivate ourselves through competitive zeal. Microsoft is known for rallying the troops with competitive fire. The press loves that, but it’s not me. My approach is to lead with a sense of purpose and pride in what we do, not envy or combativeness.
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We needed a senior leadership team (SLT) that would lean into each other’s problems, promote dialogue, and be effective. We needed everyone to view the SLT as his or her first team, not just another meeting they attended. We needed to be aligned on mission, strategy, and culture.
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think of the SLT as a sort of Legion of Superheroes, with each leader coming to the table with a unique superpower to contribute for the common good.
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Over time I would realize that while the death of a parent is painful, my mom is always there in my consciousness. She will always be there. Her calm and mindfulness continue to shape my relationships with people and the world around me to this day.
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What was the spirit behind the first line of code ever written for the BASIC interpreter on that primitive computer, the Altair? It was to empower people. And that was still what motivated all of our efforts: to empower every person and every organization on the planet to achieve more. We are in the empowerment business, I said as I took the stage, and not just to empower startups and tech-savvy users on the American West Coast, but everyone on the planet. Helping people and their organizations achieve more is our sweet spot. That’s what informs our decisions and inspires our passion; it’s also what makes us different from other companies. We make things that help other people make things and make things happen.
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First, we must reinvent productivity and business processes. We needed to evolve beyond simply building individual productivity tools and start designing an intelligent fabric for computing based on four principles—collaboration, mobility, intelligence, and trust.
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Second, we will build the intelligent cloud platform, an ambition closely linked with the first ambition. Every organization today needs new cloud-based infrastructure and applications that can convert vast amounts of data into predictive and analytical power through the use of advanced analytics, machine learning, and AI.
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Third, we needed to move people from needing Windows to choosing Windows to loving Windows by creating more personal computing. Just as we would transform business and society through cloud computing, we also needed to revolutionize the workplace to help organizations and people be more productive.
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Amy Hood, our CFO, understood the culture change we needed to navigate. She also became the crucial partner I needed for precise attention to quantitative detail across the business. Her job is where the rubber meets the road. Ahead of my first financial analyst meeting, Amy helped to translate the mission and ambitions into language and goals investors needed to hear. She helped, for example, shape the goal to build a $20 billion cloud business, something investors grabbed on to and tracked quarter after quarter. It took us from a defensive frame amid falling PC and phone share to an offensive mindset. We went from deflection to ownership of our future.
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Getting our strategy right had preoccupied me from the beginning. But as management guru Peter Drucker once said, “Culture eats strategy for breakfast.”
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Culture is how an organization thinks and acts, but individuals shape it.
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Earlier in the year, Anu had handed me a copy of Dr. Carol Dweck’s book, Mindset: The New Psychology of Success. Dr. Dweck’s research is about overcoming failures by believing you can.  She divides the world between learners and non-learners, demonstrating that a fixed mindset will limit you and a growth mindset can move you forward. The hand you are dealt is just the starting point. Passion, toil, and training can help you to soar.
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“We can have all the bold ambitions. We can have all the bold goals. We can aspire to our new mission. But it’s only going to happen if we live our culture, if we teach our culture. And to me that model of culture is not a static thing. It is about a dynamic learning culture. In fact, the phrase we use to describe our emerging culture is ‘growth mindset,’ because it’s about every individual, every one of us having that attitude—that mindset—of being able to overcome any constraint, stand up to any challenge, making it possible for us to grow and, thereby, for the company to grow.” I told my colleagues that I was not talking bottom-line growth. I was talking about our individual growth.
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Our culture needed to be about realizing our personal passions and using Microsoft as a platform to pursue that passion. For me, my greatest satisfaction has come from my passion to see technology become more accessible for people with disabilities and to help improve their lives in a myriad of ways.
Chapter 4: A Cultural Renaissance
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The culture change I wanted was actually rooted in the Microsoft I originally joined. It was centered on exercising a growth mindset every day in three distinct ways.
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First, we needed to obsess about our customers.
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When we talk to customers, we need to listen. It’s not an idle exercise. It is about being able to predict things that customers will love. That’s growth mindset. We learn about our customers and their businesses with a beginner’s mind and then bring them solutions that meet their needs. We need to be insatiable in our desire to learn from the outside and bring that learning into Microsoft, while still innovating to surprise and delight our users.
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Second, we are at our best when we actively seek diversity and inclusion.
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The diversity of our workforce must continue to improve, and we need to include a wide range of opinions and perspectives in our thinking and decision making. In every meeting, don’t just listen—make it possible for others to speak so that everyone’s ideas come through.
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Finally, we are one company, one Microsoft—not a confederation of fiefdoms. Innovation and competition don’t respect our silos, our org boundaries, so we have to learn to transcend those barriers.
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Anyone who says they can accurately predict the future trajectory of tech is not to be trusted. However, a growth mindset enables you to better anticipate and react to uncertainties. Fear of the unknown can send you in a million directions, and sometimes it just dead-ends with inertia.
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A leader has to have an idea what to do—to innovate in the face of fear and inertia. We need to be willing to lean into uncertainty, to take risks, and to move quickly when we make mistakes, recognizing failure happens along the way to mastery. Sometimes it feels like a bird learning to fly.
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Learning to fly is not pretty but flying is.
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A manager can be demanding, but must also have the empathy to figure out what will motivate employees. Likewise, an employee is right to put his or her head down and work hard, but they also have the right to expect a pathway to greater responsibility and recognition when they do. There must be balance.
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I told these high-potential leaders that once you become a vice president, a partner in this endeavor, the whining is over. You can’t say the coffee around here is bad, or there aren’t enough good people, or I didn’t get the bonus.
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“To be a leader in this company, your job is to find the rose petals in a field of shit.”
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The first is to bring clarity to those you work with. This is one of the foundational things leaders do every day, every minute.
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Second, leaders generate energy, not only on their own teams but across the company.
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Leaders need to inspire optimism, creativity, shared commitment, and growth through times good and bad. They create an environment where everyone can do his or her best work. And they build organizations and teams that are stronger tomorrow than today.
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Third, and finally, they find a way to deliver success, to make things happen. This means driving innovations that people love and are inspired to work on; finding balance between long-term success and short-term wins; and being boundary-less and globally minded in seeking solutions.
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Leadership can be a lonely business. It can also be a noisy place. When a leader steps into the arena, especially in today’s loud echo chamber of social media, he or she can be tempted to make decisions that will result in instant gratification. But we have to look beyond the temporal, discounting what someone will write in this moment’s tweet or tomorrow’s news.
Chapter 5: Friends or Frenemies?
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When I became CEO, I sensed we had forgotten how our talent for partnerships was a key to what made us great. It’s the kind of thing that can happen to any great company. Success can cause people to unlearn the habits that made them successful in the first place. We knew we needed to retrain our partnership muscles. We had to look anew at our industry and find ways to add value for our customers whether they were on an Apple device, a Linux platform, or an Adobe product.
Chapter 6: Beyond the Cloud
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Forecasting technology trends can be perilous. It’s been said we tend to overestimate what we can achieve in the short run, but underestimate what can be achieved in the long run. But we are investing to lead in three key technologies that will shape our industry and others in the years to come—mixed reality, artificial intelligence, and quantum computing.
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MR, AI, and quantum may be independent threads today, but they are going to come together. We’re betting on it. A technology company that misses multiple trends like these will inevitably fall behind. At the same time, of course, it’s dangerous to chase untested future technologies while neglecting the core of the current business.
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That’s the classic innovator’s dilemma—to risk existing success while pursuing new opportunities.
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Historically, Microsoft has struggled at times to get this balance right. We actually had a tablet before the iPad; we were well along the path toward an e-reader before the Kindle. But in some cases our software was ahead of the key components required for success, such as touchscreen hardware or broadband connectivity. In other cases, we lacked end-to-end design thinking to bring a complete solution to market. We also got a bit overconfident in our ability to fast-follow a competitor, forgetting that there is inherent risk in such a strategy. We were perhaps timid in disrupting our own highly successful business models. We’ve learned from all this. There is no formula to inventing the future. A company has to have a complete vision for what it can uniquely do, and then back it up with conviction and the capability to make it happen.
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To avoid being trapped by the innovator’s dilemma—and to move from always focusing on the urgency of today to considering the important things for tomorrow—we decided to look at our investment strategy across three growth horizons: first, grow today’s core businesses and technologies; second, incubate new ideas and products for the future; and third, invest in long-term breakthroughs.
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Engelbart’s Law states that the rate of human performance is exponential; that while technology will augment our capabilities, our ability to improve upon improvements is a uniquely human endeavor. He essentially founded the field of human-computer interaction.
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two futuristic novels were being eagerly consumed by engineers all over campus.  David Gelernter wrote Mirror Worlds, foreseeing software that would revolutionize computing and transform society by replacing reality with a digital imitation.
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It is a magical feeling, at least for me, the first time you experience a profound new technology.
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Alex is very philosophical and turned to Nietzsche for direction: “He who has a ‘why’ to live for can bear almost any ‘how.’” Alex was upset with himself because he did not yet have his “why,” a point of view about where computing should be headed.
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“I am going to make machines that perceive the real world.” Perception—not a mouse, keyboard, and screen—would be the protagonist of his story. Machines that perceive us became his “why.”
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On the computer vision and learning front, in late 2015 our AI group swept first prize across five challenges even though we only trained our system for one of those challenges. In the Common Objects in Context challenge, an AI system attempts to solve several visual recognition tasks. We trained our system to accomplish just the first one, simply to look at a photograph and label what it sees. Yet, through early forms of transfer learning, the neural network we built managed to learn and then accomplish the other tasks on its own. It not only could explain the photograph, but it was also able to draw a circle around every distinct object in the photograph and produce an English sentence that described the action it saw in the photo.
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But just because a machine can see and hear doesn’t mean it can truly learn and understand. Natural language understanding, the interaction between computers and humans, is the next frontier.
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BESPOKE. Today we are very much on the ground floor of AI. It is bespoke, customized. Tech companies with privileged access to data, computing power, and algorithms handcraft an AI product and make it available to the world. Only a few can make AI for the many. This is where most AI is today.
Chapter 7: The Trust Equation
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The dilemma framed by each of these high-profile cases—Sony, Snowden, San Bernardino, and the Irish data center—is the conflict between protecting individual liberties of privacy and free speech and civil society requirements like public safety. This conflict creates a moral or ethical dilemma, one which, of course, has been debated throughout history.
Chapter 8: The Future of Humans and Machines
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a small computer that he wears like a pair of sunglasses. The technology disambiguates and interprets data in real time, essentially painting a picture of the world and conveying it to Saqib audibly instead of visually. This tool allows Saqib to experience the world in richer ways—for example, by connecting a noise on the street to a stunt performed by a nearby skateboarder or sudden silence in a meeting to what coworkers might be thinking.
Highlight (yellow) - Location 2559
AI must be designed to assist humanity. Even as we build more autonomous machines, we need to respect human autonomy. Collaborative robots (co-bots) should take on dangerous work like mining, thus creating a safety net and safeguards for human workers.
Highlight (yellow) - Location 2561
AI must be transparent. All of us, not just tech experts, should be aware of how the technology works and what its rules are. We want not just intelligent machines but intelligible machines; not just artificial intelligence but symbiotic intelligence. The technology will know things about humans, but the humans must also know about how the technology sees and analyzes the world.
Highlight (yellow) - Location 2573
AI must have algorithmic accountability so that humans can undo unintended harm. We must design these technologies for the expected and the unexpected.
Highlight (yellow) - Location 2594
CREATIVITY—One of the most coveted human skills is creativity, and this won’t change. Machines will enrich and augment our creativity, but the human drive to create will remain central.
Highlight (yellow) - Location 2610
In their first report, Artificial Intelligence and Life in 2030, the study panel noted that AI and robotics will be applied “across the globe in industries struggling to attract younger workers, such as agriculture, food processing, fulfillment centers and factories.”
Highlight (yellow) - Location 2614
While there is no clear road map for what lies ahead, in previous industrial revolutions we’ve seen society transition, not always smoothly, through a series of phases. First, we invent and design the technologies of transformation, which is where we are today. Second, we retrofit for the future. We’ll be entering this phase shortly. For example, drone pilots will need training; conversion of traditional cars into autonomous vehicles will require redesign and rebuilding. Third, we navigate distortion, dissonance, and dislocation. This phase will raise challenging new questions. What is a radiologist’s job when the machines can read the X-ray better? What is the function of a lawyer when computers can detect legal patterns in millions of documents that no human can spot?
Highlight (yellow) - Location 2632
Today we don’t think of aviation as “artificial flight”—it’s simply flight. In the same way, we shouldn’t think of technological intelligence as artificial, but rather as intelligence that serves to augment human capabilities and capacities.
Chapter 9: Restoring Economic Growth for Everyone
Highlight (yellow) - Location 2892
“Although automation tends to reduce employment and the share of labor in national income, the creation of more complex tasks has the opposite effect.”
Highlight (yellow) - Location 2894
“The creation of new complex tasks always increases wages, employment and share of labor. But when automation runs ahead of the process of creation of new, labor-intensive tasks, technological change will bring lower employment.” We need a balanced growth path. We need to invent a new social contract for this age of AI and automation that fosters the equilibrium between individual labor—one’s agency, wages, sense of purpose, and fulfillment—and the return on capital.
Highlight (yellow) - Location 2928
“Business is humanity’s most resilient, iterative, and productive mechanism for creating change in the world.”
Afterword
Highlight (yellow) - Location 2990
Some argue that robots will take all our jobs, but this so-called “lump of labor” argument—the notion that there is a limited amount of work available—has always been disproved. It’s just that different types of labor will be needed.


It takes only15 minutesto donate blood!!!
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FUTIMES
Section: Linux Programmer's Manual (3)
Updated: 2013-10-29
Index
Return to Main Contents
NAME
futimes, lutimes - change file timestamps
SYNOPSIS
#include <sys/time.h>
int futimes(int fd, const struct timeval tv[2]);
int lutimes(const char *filename, const struct timeval tv[2]);
Feature Test Macro Requirements for glibc (see
feature_test_macros(7)):
futimes(),
lutimes():
_BSD_SOURCE
DESCRIPTION
futimes()
changes the access and modification times of a file in the same way as
utimes(2),
with the difference that the file whose timestamps are to be changed
is specified via a file descriptor,
fd,
rather than via a pathname.
lutimes()
changes the access and modification times of a file in the same way as
utimes(2),
with the difference that if
filename
refers to a symbolic link, then the link is not dereferenced:
instead, the timestamps of the symbolic link are changed.
RETURN VALUE
On success, zero is returned.
On error, -1 is returned, and
errno
is set appropriately.
ERRORS
Errors are as for
utimes(2),
with the following additions for
futimes():
- EBADF
-
fd
is not a valid file descriptor.
- ENOSYS
-
The
/proc
filesystem could not be accessed.
The following additional error may occur for
lutimes():
- ENOSYS
-
The kernel does not support this call; Linux 2.6.22 or later is required.
VERSIONS
futimes()
is available since glibc 2.3.
lutimes()
is available since glibc 2.6, and is implemented using the
utimensat(2)
system call, which is supported since kernel 2.6.22.
ATTRIBUTES
Multithreading (see pthreads(7))
The
futimes()
and
lutimes()
functions are thread-safe.
CONFORMING TO
These functions are not specified in any standard.
Other than Linux, they are available only on the BSDs.
SEE ALSO
utime(2),
utimensat(2),
symlink(7)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- RETURN VALUE
-
- ERRORS
-
- VERSIONS
-
- ATTRIBUTES
-
- Multithreading (see pthreads(7))
-
- CONFORMING TO
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:10 GMT, September 18, 2014


The threat of terrorism is as alive as one can imagine. From the recent tragedies at Ruby Ridge and Oklahoma to the World Trade Center bombings, terrorism hangs like a pall of death in our everyday existence. "Arlington Road" makes claim that terrorists may be our own next-door neighbors, ready to pounce at any given moment.
Jeff Bridges stars as a professor of terrorism at George Washington University who teaches his students that the perpetrators of terrorism are wrongly personified by the media - they are not acts done by one man but by a group. He is obsessed by the mere act of terrorism itself, mainly due to his late wife, an FBI agent, who died at the hands of terrorists. Bridges also thinks that his next-door neighbor (Tim Robbins with a steely stare) may be a terrorist. At the beginning of the film, Bridges rescues a child in the streets (played by Mason Gamble), who is bleeding profusely from what appears to be a firecracker accident. The child belongs to Robbins and his wife, played by Joan Cusack.
"Arlington Road" is a strange, sometimes effective film that begins as a character study and quickly becomes an all too fast-paced thriller dependent on far too many implausibilities. Once the shocking ending comes into play, we rethink how the terrorist group managed to fulfill their actions and it becomes all too neat and tidy to have any credence.
Jeff Bridges, one of our most unsung and underappreciated actors, gives a fine, empathetic performance and he gives us a complex view of a man at war with his inner anxieties who can't separate the obsession from his personal life. It is Tim Robbins who overacts, simply staring like a wild-eyed fool making offbeat gestures that undermine any credibility or understanding - what does his character stand for when he commits these atrocious acts? What is he rebelling against? At times, Robbins seems to have drifted in from a cartoon. It doesn't help that his kids appear like aliens from "Village of the Damned."
The female actors are not any better and are vastly underused. Joan Cusack appears more suited to a demented "Addams Family" role than the one given here - her close-ups hinder rather than help. And I am not a big fan of Hope Davis, who nearly ruined the often funny "The Daytrippers" with her blandness and forced smile. Here she has not improved much playing a bland housewife with a forced smile.
"Arlington Road" has its moments of suspense and tension but not enough to overcome a wholly implausible scenario dependent on contrivance rather than plot coherence. The dark ending gives it some weight, but it all rings very hollow. At the end of the road lies an exploitative and shallowly misconceived dead end.
For more reviews, check out JERRY AT THE MOVIES at http://buffs.moviething.com/buffs/faust/
E-mail me with any questions, concerns or complaints at<EMAIL_ADDRESS>or<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


THE GENERAL'S DAUGHTER Reviewed by Jamie Peck
An occasionally seedy, always adult-oriented agenda is announced the precise moment "Daughter"'s ball gets rolling, following an unnecessarily lengthy intro that allows viewers to meet and greet John Travolta in another sterling dramatic turn. He plays top warrant officer Paul Brenner, assigned by the army's Criminal Investigation Division to sort through some sticky business involving an arms buyer on a Georgia base. During his stay there, the general's daughter (Leslie Stefanson), a captain herself, turns up dead -- and naked, spread-eagle, tent-staked to the ground and apparently sexually assaulted. You can probably wager a guess as to whether or not this movie is your cup of tea already.
To help him look for leads, Brenner gets paired with a rape specialist (Madeleine Stowe) with whom he shares a romantic history. The resulting rekindled-relationship subplot takes up less time than initially suspected, but still feels tacked-on -- especially while rushing to a happy resolution over the closing credits. Perhaps it stems from a need to make sure viewers exit "The General's Daughter" reassured that the world ain't such a bad place after all, because the material that constitutes a majority of the preceding two hours certainly suggests the opposite. It's a monstrously depressing story, really.
Our protagonists' sleuthing unearths a slew of unsavory revelations from the victim's past, as well as many shady supporting types. James Woods clashes masterfully with Travolta as the deceased's enigmatic mentor, their scenes more explosive than those that contain actual firearms. Ex-"Mod Squad"-er Clarence Williams III is weird and sweaty as a colonel intensely loyal to his superiors. Even the notion that the girl's decorated father (James Cromwell) isn't beyond suspicion won't be news to fans of the twisty genre. But unsettling shocks are delivered in the ultimate disclosures of this supremely unusual parent-child bond -- and it's probably not what you're thinking.
Sure, "The General's Daughter" is messy in ways most thrillers are: logic holes, ill-used actors (here, the horribly underrated Timothy Hutton as a helpful MP) and a weak send-off that botches the actual perp's identity and motive. But the movie still resonates strongly, particularly the potent posthumous development of the title character and the solid acting from Travolta, Woods and Stowe. Stowe overcomes her female-tagalong role by commanding one of Daughter's most attention-capturing moments: her shrewd locker-room grilling of a cadet who's concealing important case-related secrets.
Director Simon West cut his teeth on 1997's "Con Air," a testosterone-heavy Simpson-Bruckheimer actioner, and brings similar stylized visuals to "The General's Daughter" -- meaning that chopper blades spin in glorious slow-motion and nary an edit lasts longer than 10 seconds. This odd choice pays off, making edgier scenes seem less exploitative. But why does West plop a statistic over the ending fade-to-black that estimates the number of women in the armed forces at an empowering high? Uh, if "Daughter" was supposed to inspire females to be all they can be, it needs major rewrite.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


THE MAN WHO CRIED
Reviewed by Harvey Karten Universal Focus Director: Sally Potter Writer: Sally Potter Cast: Christina Ricci, Kate Blanchett, John Turturro, Johnny Depp, Harry Dean Stanton, Oleg Yanikovskiy, Claudia Lander-Duke
Mr. Abramowitz, (Oleg Yankovsky), the title character who frames the picture, is an unimportant person from the point of the view of the film's photographer and director but is the most important person in the life of his daughter, Suzie, known as Fegele in the birthplace which has been her home for ten years. Suzie's attachment to her dad is almost Oedipal in intensity, but you can't blame her since the unfortunate fellow, a cantor in the small Russian shtetl of Borisov, was compelled to leave her behind when he departed for America in 1927 in search of a better life-- intending to make enough money to send for Suzie later on.
"The Man Who Cried" is yet another in the line of films with motifs dealing in part with the domination of Europe by the Nazis, which in the past year have included "Divided We Fall," "Into the Arms of Strangers" and "Left Luggage." (Add "The Crimson Rivers" to that list if you include the influence of Nazi thought on a modern-day French university.) While Sacha Vierny's photography is stunning, particularly when contrasting the dirt-poor village that housed the Jews with the opulence of an exquisite flat in Paris, and Osvaldo Golijov's lovely music a welcome antidote to "Pearl Harbor"'s deafening soundtrack, Herve's Schneid's editing gives the entire movie the look of a series of trailers tacked on to one another. Sally Potter, who wrote the script to "The Man Who Cried" as well, spends quite a long time in Europe slowly and painfully developing the story for its ultimate payoff--which proves to be almost anticlimactic in dramatic value.
Christina Ricci inhabits the role of Suzie, seen first at about the age of 10 (Claudia Lander-Duke) who, despite her mellifluous singing voice stands out by adopting the silence of the perpetual outsider. When Cossacks invade the town and burn the village, she escapes using the few gold coins that her father had saved in the sugar jar and though clueless about the destination of the ship, winds up not in America where she expects to reunite with her dad but in England. She is adopted by a Christian family with whom she remains until she leaves ten years later for Paris to work in a chorus line. Taken under the wing by another Russian, the gold-digging, Lola (Cate Blanchett), she acts like the proverbial locked-out college roommate when Lola begins an affair with an Italian opera singer, Dante Dominio (John Turturro), who has a contract with producer Felix Perlman (Harry Dean Stanton). Luckily for Suzie, though, she loses her virginity and gains a pair of starry eyes when she gains the attention of a handsome but often sullen gypsy (Johnny Depp).
Sally Potter, whose "Orlando" is an engrossing, imaginative tale of someone who lives for four hundred years--first as a man and then as a woman--comes across this time with a story as pedestrian as "Orlando" is innovative. None of her characters gets a three-dimensional treatment. Cate Blanchett's Lola is a caricature of the flirt and while John Turturro benefits from the excellent dubbing of an operatic voice, Johnny Depp sleepwalks through his signature role as a gypsy. Christina Ricci's character is so repressed that we are unconvinced of her ability as a singer. Nor does she inspire Johnny Depp, with whom she conducts a ho-hum little love affair. She's adept at learning Yiddish, though, and that's a big plus for a nice, 20-year-old Santa Monica gal.
Rated R. Running time: 100 minutes. (C)2001, Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


About Me
My name is Andrew Quamme. I currently live in Tacoma, WA but I was born and raised in Wisconsin. I joined the Army right out of high school and after my training was stationed at Ft Lewis in 2002. I deployed twice to Iraq where I ran tactical voice and data networks, and after leaving the service in 2007 I worked for Comcast as a cable technician. Last May I finally decided to put my GI Bill to use and left Comcast to return to school full time. I recently completed my AAS in Computer Technology, and am currently a student at Code Fellows to pursue a future in coding and development.
I enjoy being outside and I feel most at home in the mountains, where I try to spend as much as my time off as possible. I also enjoy running and cycling, and I've completed a few half marathons and the "Seattle to Portland" bike ride twice. I'm active in Team Red White and Blue, an organization that connects veterans to their communities through physical and social activity.
I hold an Extra Class Amateur Radio License and volunteer with Pierce County Emergency Management providing communications support to special events in the area-mostly races. We've also helped with search and rescue, floods, and in the event of a major disaster we would staff local shelters and city emergency centers. I'm also a volunteer examiner and on occasion will assist with ham radio test sessions in the area.


Sylvanian Families Timbertop Bear Family
Timbertop Bear Family (Flair Celebration Version)
Timbertop Bear Family of Four (USA, Tomy)
Daisy Timbertop (Tomy)
Rose Timbertop (Tomy)
Dancin' Performers Timbertop Brother
Home


Library Metatheory
Require Import Peano_dec.
Require Export AdditionalTactics.
Require Export Atom.
Require Export AtomSet.
Require Export AtomEnv.
Require Export List.
Require Export ListFacts.
We export the types, functions, lemmas, etc. provided by the
implementations of association lists whose keys are atoms (from
Implementation note: We specifically do not
AtomEnv
).
Implementation note: We specifically do not
Export
the
AtomImpl
and AtomSetImpl
modules in order to avoid polluting
Coq's namespace. Commonly used items from those files are given
convenient definitions and notations, either here or in the
libraries that implement those modules.
Export AtomEnvImpl.
Decidable equality on atoms and natural numbers may be written
using suggestive notation.
Notation "x == y" :=
(AtomImpl.eq_dec x y) (at level 67) : metatheory_scope.
Notation "i === j" :=
(Peano_dec.eq_nat_dec i j) (at level 67) : metatheory_scope.
We can use list-like notation to write association lists
consisting of a single binding.
Notation "[ x ]" := (AtomEnvImpl.one x) : metatheory_scope.
Common set operations may be written using infix notation. The
ones for equality and subset match the notations used in the FSets
library. Implementation note: Since we do not
Export
the
AtomSetImpl
module, we have to (re)define notations as
needed.
Notation "E `union` F" :=
(AtomSetImpl.union E F)
(at level 69, right associativity, format "E `union` '/' F")
: set_scope.
Notation "x `in` E" :=
(AtomSetImpl.In x E) (at level 69) : set_scope.
Notation "x `notin` E" :=
(~ AtomSetImpl.In x E) (at level 69) : set_scope.
Notation "E [=] F" :=
(AtomSetImpl.Equal E F) (at level 70, no associativity) : set_scope.
Notation "E [<=] F" :=
(AtomSetImpl.Subset E F) (at level 70, no associativity) : set_scope.
We define some abbreviations for the empty set, singleton
sets, and the union of two sets.
Notation empty := AtomSetImpl.empty.
Notation singleton := AtomSetImpl.singleton.
Notation union := AtomSetImpl.union.
We define some abbreviations for some lemmas about set
non-membership.
Notation notin_empty := AtomSetNotin.notin_empty.
Notation notin_union := AtomSetNotin.notin_union.
Notation notin_singleton := AtomSetNotin.notin_singleton.
Notation notin_add := AtomSetNotin.notin_add.
Open the notation scopes declared above.
Open Scope metatheory_scope.
Open Scope set_scope.
Consider a rule
The tactic
If we view
H
(equivalently, constructor, lemma, etc.) whose
type begins with forall L, ...
and contains hypotheses of the
form (forall y, y `notin` L -> ...)
.
The tactic
(pick fresh x excluding F and apply H)
applies H
to
the current goal, instantiating H
's first argument (L
) with
the finite set of atoms F
. In each new subgoal of the form
(forall y, y `notin` F -> ...)
, the atom y
is introduced as
x
, and (y `notin` F)
is introduced using a generated name.
If we view
H
as a rule that uses cofinite quantification, the
tactic can be read as picking a sufficiently fresh atom to open a
term with.
Tactic Notation
"pick" "fresh" ident(atom_name)
"excluding" constr(L)
"and" "apply" constr(H)
:=
first [apply (@H L) | eapply (@H L)];
match goal with
| |- forall _, _ `notin` _ -> _ =>
let Fr := fresh "Fr" in intros atom_name Fr
| |- forall _, _ `notin` _ -> _ =>
fail 1 "because" atom_name "is already defined"
| _ =>
idtac
end.
The next two blocks of hints should discharge many of the
freshness and inequality goals that arise in programming language
metatheory proofs, in particular those arising from cofinite
quantification.
Implementation note: The invocation of
Implementation note: The invocation of
simpl_env
is risky since
autorewrite
does not interact nicely with the existential
variables introduced by eauto
. In practice, this does not seem
to be a problem. However, practice also shows that a similar
problem does occurs if we use atomsetdec
instead of
solve_atomset_notin.
Hint Resolve AtomSetNotin.notin_empty.
Hint Resolve AtomSetNotin.notin_union.
Hint Resolve AtomSetNotin.notin_singleton.
Hint Resolve AtomSetNotin.notin_add.
Hint Extern 4 (_ `notin` _) => simpl_env in *; solve_atomset_notin.
Hint Extern 4 (_ <> _ :> atom) => simpl_env in *; solve_atomset_notin.
Hint Extern 4 (_ <> _ :> AtomSetImpl.elt) => simpl_env in *; solve_atomset_notin.
The following are hints for equalities on environments.
Hint Resolve app_assoc app_nil_1 app_nil_2.
Hint Resolve nil_neq_one_mid one_mid_neq_nil.
Hint Resolve map_nil map_one map_app.
Hint Resolve dom_nil dom_one dom_app dom_map.
The following hints are primarily about
uniq
.
Hint Resolve uniq_nil uniq_cons uniq_one uniq_push.
Hint Resolve uniq_insert_mid.
Hint Immediate uniq_remove_mid.
The following hints are primarily about
binds
.
Hint Resolve binds_one_1 binds_app_1 binds_app_2.
Hint Resolve binds_map binds_weaken.
Hint Immediate binds_remove_mid.
This page has been generated by coqdoc


Document Revision:<PHONE_NUMBER>
This is the MSP430™ PMBus Library.
The MSP430™ PMBus Library is a royalty-free set of API's that provide support for master protocols in a PMBus communication system.
This document is divided into the following sections:
The PMBus Library contains the following components.
| doc | API Guide, Users Guide, and Examples Guide |
| smbuslib | MSP430™ SMBus library required for communcations |
| src | Library source code |
| examples | Example projects |
N/A
This release supports installation and development on Microsoft Windows Workstations.
This release is a GA version.
The examples may be built with either IAR or CCS. To build the examples navigate to example folder, select a project and
click the .eww project files for IAR or import the .projectspec file for CCS. See the PMBus Users Guide for detailed usage instructions.
Current supported experimenters boards are found in the Device Support section of the release notes.
This is build <IP_ADDRESS> of MSP430™ PMBus Library
For more information, visit www.ti.com.


TEDxLausanne 2015
Learn how to become a speaker
Visit our jobs page and help us complete our team
Take your last chance to visit our famous tilted website!


TLDR
Redesign the look and feel of the Master of Statistics homepage
Consider and study the current information architecture of the Mstat website
Take a mobile-first approach to design and layout elements
Consider user testing to find out what users are looking for and how to better present that info
Continue to conduct user test to identify new pain-points and improve on the prototypes
The Project
This was a personal project/case study to redesign the Master of Statistics website for the University of Utah.
I used other department homepages for inspiration that had newer design elements and layout. The main goal of the redesign was to take many of the links hidden in the main navigation menu (as seen in the image below of the current site homepage) and turn them into visual elements and calls-to-action to drive conversion.
I took into consideration what I thought would be the most important user needs from the navigation menu to turn into CTA elements. If I were to take on the project with the right resources, I would conduct several user tests to determine what users are looking for on the website before doing any designing. With that user information, I could better understand what users are looking for and feature those main items on the homepage as design elements.
Current Mstat website >>This is just a high-fidelity prototype and not considered to be anything "final". I would continue user testing with this design prototype to find out if our users can find what they're looking for and identify any new pain-points of the current redesign. My goal is to always be flexible and open to new ideas and changes and to never fall in love with my work!


Long-Range Forecasting
- Murphy J.M. 1990
- Assesment of the practical
utility of extended range
ensemble forecasts
Q.J.R. Met. Soc., 116,
pp89-125
Contact information
Andy Brady |<EMAIL_ADDRESS>| Last updated: 28 September 1995 | © Crown Copyright 1995


|
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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Chop the bacon or pancetta into thick matchsticks and fry in a little olive oil until crispy. Throw in the chopped garlic and fry until it starts to take colour. Remove the garlicky pancetta and put on kitchen paper.
Bring the four whole eggs to the boil in a small pan of cold water and boil them for just 4 minutes to get soft-boiled eggs.
Dip the puffball slices in the beaten egg, then coat well in the breadcrumbs. Fry in the same oil left from frying the pancetta (with perhaps a little extra added), turning once until crispy and golden brown.
Drain each slice quickly on kitchen paper, then place on warmed plates. Peel the soft boiled eggs carefully and cut them in half. Place two halves, yolk upwards, on each fritter and season well with salt and freshly ground black pepper. Sprinkle over the garlicky bits of pancetta.
Serve with a few dressed salad leaves on the side.


Visular Demo app
Inspector
No Item Selected
Name
Unnamed elements are bad!
Width
Man! This is too tiny!
Giant element!
Height
Designer


File Management and Location tools
find_file()
: find a file (exact matches)search_file()
: search for files using wildcard expansion
*
: match zero or more characters?
: match a single character[
: begin a character class or range## starts with capital letter and doesn't end with md/html
search_file("[A-Z]*[!md|html]")
#> [1] "/Users/mwk/R/fml/DESCRIPTION" "/Users/mwk/R/fml/LICENSE"
#> [3] "/Users/mwk/R/fml/NAMESPACE" "/Users/mwk/R/fml/docs/CNAME"
## all .yml files not in docs/
search_file("[!docs]*.yml")
#> [1] "/Users/mwk/R/fml/_pkgdown.yml" "/Users/mwk/R/fml/docs/pkgdown.yml"
## .yml files that start with a dot
search_file(".*.yml")
#> [1] "/Users/mwk/R/fml/.travis.yml"
here()
: smart file paths within projectlist_files()
: list files
## list files in directory
list_files(full = FALSE)
#> [1] "_pkgdown.yml" "codecov.yml" "DESCRIPTION" "fml.Rproj"
#> [5] "LICENSE" "LICENSE.md" "NAMESPACE" "README.md"
#> [9] "README.Rmd"
list_dirs()
: list directories
list_paths()
: list all paths
fp()
: construct file path## build this/that
fp("this", "that")
#> [1] "this/that"
## pipe style
"this" %FP% "that"
#> [1] "this/that"
pe()
: path expansion–converts to canonical form


"CLAUDIA "a female Christian mentioned in 2 Timothy 4:21. It is a conjecture having some probability that she was a British maiden, the daughter of king Cogidunus, who was an ally of Rome, and assumed the name of the emperor, his patron, Tiberius Claudius, and that she was the wife of Pudens.
"CLAUDIA "a female Christian mentioned in 2 Timothy 4:21. It is a conjecture having some probability that she was a British maiden, the daughter of king Cogidunus, who was an ally of Rome, and assumed the name of the emperor, his patron, Tiberius Claudius, and that she was the wife of Pudens.


Woman walking in the green fields...
Remainings of old boat in the beach of bali...
Beautiful sunsetting in the mountains...
Snow white mountain of east china...


UNDERWORLD (director: Josef Von Sternberg; screenwriters: from a story by Ben Hecht/Robert N. Lee; cinematographer: Bert Glennon; cast: George Bancroft ("Bull" Weed), Clive Brook ("Rolls Royce"), Evelyn Brent ("Feathers" McCoy), Larry Semon ("Slippy" Lewis), Fred Kohler ("Buck" Mulligan), Helen Lynch (Mulligan's Girl), Jerry Mandy (Paloma), Karl Morse ("High Collar" Sam); Runtime: 85; Grapevine Video Release; 1927-silent)
Reviewed by Dennis Schwartz
Considered to be the first modern gangster film, where the criminals are the antihero heroes. Underworld was adapted from ex-reporter Ben Hecht's book, where he uses his experiences covering the Chicago crime scene. Sternberg had a different vision for the film and after the opening chaotic scenes were told like a straight crime story, the director changed the reality of the silent film and abandoned Hecht's version. Sternberg gave this film a blend of realism, German expressionism and Hollywood sentimentality. The evidence of Sternberg's rich imagination first comes into evidence during the gangster's ball scene.
The film opens by introducing Bull Weed (George Bancroft) as a bank robber. He robs a bank by dynamiting it and before driving away he gives a blind beggar some money. The now down-and-out former lawyer called Rolls Royce (Clive Brook), witnessed the robbery in his drunken condition and when discovered by Bull has to convince him that he's no squealer in order to live.
Bull's sweetie pie is Feathers McCoy (Evelyn Brent). Sitting in their favorite bar, Dreamland, they meet the drunk again when they witness him being humiliated by a rival of Bull's called Buck Mulligan (Fred Kohler). He wants to impress the sexy Feathers that he doesn't care about money, as he's second fiddle to Bull in this town and lusts after what Bull has--especially the Feathers dame.  Bull comes to the rescue and gives Rolls Royce a large stake to clean himself up. He soon realizes that Rolls Royce is an intellectual, and he hires him to plan their robberies and be the brains of the organization. This works out fine, as Bull is even more successful than before and becomes the uncrowned king of the Chicago underworld.
In one robbery, Rolls Royce has Bull drop a flower at the crime scene in order to frame Buck Mulligan. You see, Buck, as a front for his criminal activities, owns a flower shop.
Rolls Royce moves into Bull's hideout, and falls in love with Feathers and she gradually falls in love with him. But he's too grateful for what Bull did for him to carry out this love. At the annual underworld's ball, where everyone attending has a prison record, jealousy and rage erupt in the middle of all the party favors as confetti and streamers fill the dance hall. Bull bawls Rolls Royce out for dancing with his girl, and soon gets so drunk he's passed out. This gives Buck a chance to attack the helpless Feathers.
Sentenced to hang for the murder and hearing rumors about his girl with Rolls Royce, the climactic scenes show how he breaks out of prison and returns to his hideout seeking revenge. Here he confronts Rolls Royce and Feathers and finds that they remained faithful to him; and, most importantly, he learns something about himself that he didn't know before. He discovers his deeper feelings, as he decides to give himself up to the police.
Bull was portrayed as a burly, physical man with complex emotions. He always wanted to elevate Feathers in stature and enjoyed doing it in a crass way, as he gave her jewelry as presents. That he could be generous as well as ruthless and had a laugh that could fill a room with his giant personality, made him a villain who was not one-dimensional.
During its time this was an edgy film, but the times have changed and its story doesn't hold up as well today. It's a film that is mostly interesting for its historical contribution to cinema, as it set the conventions for this genre. It is also a visually challenging film, as Sternberg filled the screen with symbols and imagery it had never seen before. This changed the way gangster films were made, and the visuals of this film are still considered to be innovative and stylish.
Some critics have classified this as an example of film noir mainly because of all the alienation and corruption shown. It's not like the film noir of the 1940s, but more like a noir predecessor.
Interestingly enough, at the first Academy Awards ceremony in 1929, the film received its only award, for story writer Ben Hecht. Hecht gladly accepted the award, even though he complained about the finished film when it first came out and wanted his name taken off the credits.
REVIEWED ON 8/20/2001 GRADE: B-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
========== X-RAMR-ID: 29241 X-Language: en X-RT-SourceID: 873 X-RT-AuthorID: 1315 X-RT-RatingText: B-
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
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Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


HEAD
Development
=======
Asset Management
( Asset Management )
Images
>>>>>>> parent of 604ff66 (Output Management - HtmlWebpackPlugin)


| font_add {sysfonts} | R Documentation |
The two versions of this function are equivalent, but the "underscore" naming is preferred.
This function registers new font families that can be used by package showtext and the SWF device in package R2SWF. Currently supported formats include but not limited to TrueType fonts(*.ttf, *.ttc) and OpenType fonts(*.otf).
font_add( family, regular, bold = NULL, italic = NULL, bolditalic = NULL, symbol = NULL ) font.add( family, regular, bold = NULL, italic = NULL, bolditalic = NULL, symbol = NULL )
family |
a character string of maximum 200-byte size, indicating the family name of the font. See "Details" for further explanation. |
regular |
path of the font file for "regular" font face. This argument must be specified as a character string and cannot be missing. |
bold |
path of the font file for "bold" font face.
If it is |
italic, bolditalic, symbol |
ditto |
In R graphics device, there are two parameters combined together
to select a font to show text. par("family")
is a character
string giving a name to a series of font faces. Here
series implies that there may be different fonts with the
same family name, and actually they are distinguished by the parameter
par("font")
, indicating whether it is regular, bold, or italic,
etc. In R, par("font")
is an integer from 1 to 5 representing
regular, bold, italic, bold italic, and symbol, respectively.
In sysfonts package, there are three default font families, sans, serif, and mono,
each with five font faces as mentioned above. If one wants
to use other font families, the function font_add()
needs to be called
to register new fonts. Note that the family
argument in this function can be
an arbitrary string that does not need to be the real font name. The specified
family name will be used in functions like par(family = "myfont")
and text("Some text", family = "myfont")
. The Examples section
shows a complete demonstration of the usage.
To find the font file of argument regular
(and the same for
other font faces), this function will first check the existence
of the specified path. If not found, file will be searched in the
directories returned by font_paths()
in turn. If the
file cannot be found in any of the locations,
an error will be issued.
A character vector (invisible) of currently available font family names.
Yixuan Qiu <https://statr.me/>
See par()
for explanation of
the parameters family
and font
.
## Not run: ## Example: download the font file of WenQuanYi Micro Hei, ## add it to SWF device, and use it to draw text in swf(). ## WenQuanYi Micro Hei is an open source and high quality ## Chinese (and CJKV) font. wd = setwd(tempdir()) ft.url = "http://sourceforge.net/projects/wqy/files/wqy-microhei" ft.url = paste(ft.url, "0.2.0-beta/wqy-microhei-0.2.0-beta.tar.gz", sep = "/") download.file(ft.url, basename(ft.url)) ## Extract and add the directory to search path untar(basename(ft.url), compressed = "gzip") font_paths("wqy-microhei") ## Register this font file and assign the family name "wqy" ## Other font faces will be the same with regular by default font_add("wqy", regular = "wqy-microhei.ttc") ## A more concise way to add font is to give the path directly, ## without calling font_paths() # font_add("wqy", "wqy-microhei/wqy-microhei.ttc") ## List available font families font_families() if(require(R2SWF)) { ## Now it shows that we can use the family "wqy" in swf() swf("testfont.swf") ## Select font family globally op = par(family = "serif", font.lab = 2) ## Inline selecting font plot(1, type = "n") text(1, 1, intToUtf8(c(20013, 25991)), family = "wqy", font = 1, cex = 2) dev.off() swf2html("testfont.swf") } setwd(wd) ## End(Not run)


These blogs will definitely be getting longer as more advanced topics come around. Right now, this is just a simple overview of a few tools we will be using throughout our course.
I will try to go in order here. Basic command line commands is where it all started. Simple navigation, creating/removing, copying/moving various items (directories and files). The commands are pretty straight forward. All it takes is using them over and over to really get everything down and memorized. The only issue I have had is when moving/copying I sometimes cant find my file in the designated directory but when I go to delete the directory it says that it is not empty (though it appears empty). I somehow make random Ghost Files that I can't see, but appear to exist when trying to rmdir (remove directory).
Next up, version control Git. Version control is a wonderful idea. It is probably the most important tool that we, as aspiring developers, have on our computers. Version control allows all of our changes to be tracked and logged for reference. As someone who likes to try out many approaches/solutions, this will make finding the best/most efficient one so much easier. I can compare my 'old' code directly with changes I wish to implement and see if it is worth keeping. Git logs all changes (that are added) so looking at previous/new code is super convenient.
Now in order to make everything accessible remotely or to anyone else, it is all pushed to GitHub. GitHub is basically the cloud for all code (and other files) we will be working on. Loading everything to GitHub gives someone else access to my code and changes, and allows me to access my code from a different computer if needed and 'sync' it all together. I am completely new to GitHub (well everything so far, really) so I still am getting used to the layout and navigation. As far as I can tell, I have not had much trouble with using GitHub. Pretty much push/pull to and from GitHub and everything should be up to date on both ends.


Let's put some happy little clouds in our world. Isn't that fantastic? You can do it.
Let's make some happy little clouds in our world.
They say everything looks better with odd numbers of things. But sometimes I put even numbers—just to upset the critics.
The little tiny Tim easels will let you down.
Let your imagination be your guide. We don't need any guidelines or formats.
All we need to do is just let it flow right out of us. Let's give him a friend too.
Everybody needs a friend.
Let's put some happy little clouds in our world. Isn't that fantastic? You can do it.
Let's make some happy little clouds in our world.
They say everything looks better with odd numbers of things. But sometimes I put even numbers—just to upset the critics.
The little tiny Tim easels will let you down.
Let your imagination be your guide. We don't need any guidelines or formats.
All we need to do is just let it flow right out of us. Let's give him a friend too.
Everybody needs a friend.
Let's put some happy little clouds in our world. Isn't that fantastic? You can do it.
Let's make some happy little clouds in our world.
They say everything looks better with odd numbers of things. But sometimes I put even numbers—just to upset the critics.
The little tiny Tim easels will let you down.
Let your imagination be your guide. We don't need any guidelines or formats.
All we need to do is just let it flow right out of us. Let's give him a friend too.
Everybody needs a friend.
Let's put some happy little clouds in our world. Isn't that fantastic? You can do it.
Let's make some happy little clouds in our world.
They say everything looks better with odd numbers of things. But sometimes I put even numbers—just to upset the critics.
The little tiny Tim easels will let you down.
Let your imagination be your guide. We don't need any guidelines or formats.
All we need to do is just let it flow right out of us. Let's give him a friend too.
Everybody needs a friend.


Bristol City star Famara Diedhiou nets hat-trick for Senegal
The Robins frontman had an eventful game in the African Cup of Nations qualifier
by John EvelyBristol City striker Famara Diedhiou netted a hat-trick for Senegal this afternoon to help his nation to a 4-1 victory over Eswatini in the African Cup of Nations qualification match.
It was an eventful game for Diedhiou who missed a penalty against the small nation of Eswatini, formerly known as Swaziland, but then netted his trio of goals in the space of just nine minutes to secure a comfortable victory.
The striker was was also in action in midweek when Senegal faced Congo on Wednesday night.
Diédhiou was named on the bench but was brought on in the 83rd-minute as his side went on to secure a 2-0 victory.
The Robins forward has scored just four goals for Bristol City this season, netting three in the Championship and one in the EFL Cup.
The striker scored on his last outing for Lee Johnson’s side to secure a 2-1 victory over Charlton Athletic but he also picked up a red card after kicking out at defender Jason Pearce, which has meant he has not featured since.
That has left the Robins very short of striker options with summer loan signing Benik Afobe also out for the season with an anterior cruciate ligament injury and Matty Taylor on loan at League One side Oxford United.
After earning an international recall Diedhiou has impressed for Senegal this season, scoring in the African nation’s 1-1 draw with Brazil back in October.
Senegal are currently top of Pool C in the African Cup of Nations qualifiers, tied with Algeria on nine points, but their rivals have a game in hand tomorrow against Botswana.
Diedhiou is now eligible for selection for Bristol City and will likely feature against Nottingham Forest next weekend.
Get lots more news, opinion and transfer updates on our Bristol City FC page and add a bookmark to find it quickly next time.


--- layout: page title: Search description: Search CoScale documentation ---
No articles found, please change your search term or contact us.


@*
* Copyright 2021 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import viewmodels.TitledSummaryList
@this(
layout: templates.Layout,
formHelper: FormWithCSRF,
govukSummaryList: GovukSummaryList,
govukButton: GovukButton
)
@(mode: Mode, mainList: SummaryList, vatRateLists: Seq[TitledSummaryList], period: Period, index: Index, country: Country)(implicit request: Request[_], messages: Messages)
@layout(pageTitle = titleNoForm(
messages("checkSalesFromNi.title")),
Some(messages("caption.fromNi.periodAndCountry", period.displayText, country.name))
) {
@formHelper(action = routes.CheckSalesFromNiController.onSubmit(mode, period, index)) {
@messages("checkSalesFromNi.heading")


--- title: Trek Pack v2 heading: Trek Pack v2 description: A backpack mounted 360-degree camera system designed to capture stunning 360-degree Street View tours in all terrains. image: /assets/images/global/trek-view-360-degree-tour.jpg layout: page ---
Some of you will have already seen our Trek Pack v1. A few of you reading this probably own one too.
Our v1's have covered over 100,000 of kilometers.
At the end of 2019 GoPro launched the successor to their Fusion camera (used on the v1), the MAX. Since its release we've been busy testing its functionality and performance.
We're now confident the GoPro MAX is the best consumer camera for outdoor tour photography based on its price, durability, extendability, and availability of accessories. As such, the Trek Pack v2 is now fitted with the GoPro MAX.
We've made a few small improvements based on feedback and lessons learned from trekkers shooting with the v1 pack.
We hope you like them...

1. Buy a Pack
Want a brand new Trek Pack to shoot tours anywhere in the world? Buy your own complete pack at a generous discount.
2. Join the Trekker Program
Individuals, groups, or organisations looking to capture 360-degree tours of our natural world for non-commercial purposes are encouraged to submit an application to our camera loan program here.
3. Build one
If you want to do it yourself, you can use our Trek Pack v2 documentation as a starting point. The v2 Getting Started Guide linked below contains details of all the equipment you will need to buy and how to put it all together to build your own Trek Pack.
4. Hire a Trusted Trekker
We can help you capture 360-degree imagery and publish it in a variety of ways, from websites to VR apps. If you have a project in mind. Please contact our commercial team today.


Amazing people are making amazing designs in a fun enviroment
When you work with us,you are part of a team of collaborators.All aspects pf of our sofware development process are intergrated,interactive and agile
Our approach unites design,development and product management to creat execeptional products
We start eacth project by understanding your business goal,the user's needs and the products requirements
Then we help translate them into affective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the neccesary time needed to understand your product vission
the outcome of this scoping session is propasal or high-level statement of work.
based on your requirementswe can provide a complete offering or just the pieces you need
Our design practice offers a full range of services including brand strategy,interaction and visual design and user experience testing. Throughout yuor project,our designers create and implement visual design and workflows,solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.
Jim Carrey
Pyramids
Ontario
Blank
Have a Nice Day
Calculator
Burner
Giraffe


Make an animated gif of your face or whatever.
A project by @jmhobbs // Fork me on Github // All glory to gif.js


The Moja Gear team uses social media and giveaways to promote content, add subscribers, and increase affiliate revenue. Prior to Gatsby, they used Google Docs to run giveaways, but prefer Gatsby for it's sleek user experience, social automation, and identification of authentic micro-influencers.
They spent about 1 hour designing and launching their giveaway on Gatsby, and within the first week, received:
Of their 2,835 clicks on their Gatsby button in week 1, 23% completed the social action and entered the giveaway.
1,700 Instagram followers
4,200 Instagram followers
"We've tried half a dozen tools to run giveaways, but Gatsby is undoubtedly the best experience for our users. Not only does it look sleek on our site, but it performs exceptionally well and provides unparalleled data insights.”
Founder, Moja Gear


MTG Members was created by Adrian Agnic as a solo-project for Portland-area programming vocational school, Epicodus.
Project source code can be located at GitHub


|
BFS module
|
A basic planner module for any traversable vehicle by Acme Robotics. Acme's high level planner sometimes need local planner for estimating feasible paths for the robot. This planner, given the information of the environment, starting point and goal point, will provide feasible path from start point to goal point. It will executes Breath First Search algorithm to find feasible path between start point and goal point. More details can be found below.
To build and run this module successfully, following dependencies should be met:
## Instructions to build the module
Breath First Search algorithm is essentially a search algorithm. It is mostly used for traversing in robotics. Algorithm intitally start from a start point by adding to a priority queue. Then it explores each node from a priority queue to its child and adds to to a priority queue till it encounters goal point. In between, algorithm links each node to its respective childs. If it encounters goal point during exploration, then this links will be used to link back to start point. This will be the feasible path from start point to goal point generated using BFS algorithm.
Given the start point -> (0, 599) and goal point -> (799, 0), below is the output figure.
| Output Image |
|---|
SIP process charts for this project can be found here.


{% extends 'shop/base.html' %} {% block content %}
You put {{product.quantity }} of our {{ product.name }} which each cost {{ item.price }} and cost {{ item.total_price }} for in your basket.
{% endwith %} {% endfor %}The total for all of this fun is: {{ basket.get_total_price }}
{% endblock %}


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Our teams find solutions to complex business issues through advanced analytical and modeling techniques
We bring a more scientific and predictive approach to inform improved and faster decision making.
Insights are generated from profoundly enhancing the access, organization, and interpretation of complex information and the quantitative rigor of solutions.


Cozy App
Favorite Tea:
Clouds & Mist
Recommended Tea Type:
Green
Score:
(Select below)
Tea Recommendations
Book Rec
Emma by Jane Austen


Valle de Bravo, Mexico
Ahuehuete Multicentenario
This beloved, centuries-old tree stands at the center of a small park dotted with archaeological artifacts.
by linkogeckoMexico’s national tree is known scientifically as Taxodium mucronatum, and colloquially as Montezuma cypress, sabino, and ahuehuete. Many of these trees are remarkable due to their cultural and historical significance, while others are famed thanks to their age and size.
While relatively small, this ahuehuete’s age of approximately 700 years is notable. It also has its share of history, leading to its place of honor in this lakeside Pueblo Mágico (Magical Town) of Mexico.
It’s said that the first Catholic mass in what is now Valle de Bravo took place under the shade of “El Pino” on the November 15, 1530. (Ahuehuetes are not pines, making this popular nickname a misnomer.) A small stone plaque near the base of its trunk commemorates the date.
The small park also features archaeological pieces, mostly carved stone deity heads, which are likely to belong to the Aztec culture and were dug out of La Peña Hill, near Valle. At the entrance to the park, a poem by local Vallense Catholic prelate and writer Joaquín Arcadio Pagaza is carved into a cantera stone slab. Arcadio was mostly active during the 19th century, when he wrote several poems alluding to features and scenes of his hometown.
Know Before You Go
The ahuehuete is located atop the park and visible even after closing time. The park itself is usually open early in the morning and closes around dusk.
Visit Mexico with Atlas Obscura Trips
Layer by Layer: A Mexico City Culinary Adventure
Immerse yourself in the complex cultural identity of Mexico City through its street food, bustling markets, and well-seasoned history of gastronomic traditions.
Learn More »
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2 Lab 2: Beer’s Law
2.1 Getting the R Markdown lab template
Begin by creating a new folder called Lab2-Beers
in your CHEM101_FirstnameLastname
folder. Next, follow steps similar to those found in the GIF in Section 1.1, but select the Beer’s Law R Markdown template instead of Light and save your file in the newly created Lab2-Beers
folder as lab2.Rmd
.
2.2 The parts of the lab template
2.2.1 YAML
Refer back to The YAML header section in Chapter 1 for a review on what the entries here mean. Remember to be careful with spacing!
2.2.2 Initial R Chunk
Remember that the chemistr
package automatically loads in many useful packages for you. It also includes functions such as chem_table
you worked with in Lab 1 and chem_scatter
that you will work with in this lab.
2.2.3 Directions chunk
Immediately after the ## Data
header, you’ll see a chunk of commented R code Danielle has including giving you directions on what the chunks after it should include. Note that this chunk again uses include=FALSE
so you won’t see any of this in the resulting knitted DOCX file.
2.2.4 First data chunk
After carefully reading over the commented R code Danielle has added providing you with directions, you now are ready to enter values in for Part A. Note that you can change the variable names from Independent1
and Dependent1
to something else, but remember that those names cannot include spaces or other mathematical objects. Remember that if you change the name of Independent1
to, say, my_indep
that you’ll need to make sure to change all references from Independent1
to my_indep
in the R code that follows.
2.2.5 Transforming to a logarithmic scale
We often need to look at data not on our usual scale but instead on a logarithmic scale. With logarithms we specify a base and you may remember from algebra that logarithms are related to exponential functions. To further emphasize this, recall that \(10^2 = 100\) can be written as \(\log_{10}100 = 2\).
It important to note that \(log_{10}0 = -\infty\) so you’ll need to be careful with how you handle values of 0 when you calculating a logarithmic function on a vector including 0. For this lab, you are encouraged to remove any 0 values from your vectors BEFORE you take the logarithm to avoid this problem.
In this lab, you’ll be using “log base 10” and the log10
function in R. I recommend you enter ?log10
into the R Console for more information on how to do a base 10 logarithmic transformation on a vector in R. Additionally, you can find a great explanation of how logarithms are used in the real world here.
One of the powerful features of R is its ability to do vectorized calculations. Here is an example:
my_nums <- c(10, 15, 105, 500, 100231)
log10(my_nums)
## [1] 1.000000 1.176091 2.021189 2.698970 5.001002
The code above produces the “log base 10” for each of the values in my_nums
. We haven’t assigned this to anything though since we didn’t include the assignment operator <-
. In the GIF below, I’ll show you how to create one of the two new variables you’ll need to create. Remember that you’ll also need to update your data_frame
call to include both of your newly created variables as well.
As I have in the GIF, you should use the R Console to check your results in the R chunks by either entering the R code line by line into the Console or by pressing the Run Current Chunk button (the green Play button).
2.2.6 Copying from one chunk into a new chunk
When you are first learning to program, one of the best strategies you can do is to copy working code and make small changes to the code to produce a different result. In the plot1
chunk (remember to look at the phrase right after the {r
and before the comma that begins your R chunk to find the name), you will see how to produce a scatterplot of Dependent1
on the vertical axis and Independent1
on the horizontal axis (frequently written as “a scatterplot of Dependent1
versus Independent1
—or y
versus x
). In the GIF below, you’ll see how we could produce a plot of the log base 10 of Dependent1
versus Independent1
. Notice that only a few subtle changes are needed to produce a different plot. Also think about how the new plot in chunk plot2
compares to the plot produced in plot1
.
You’ll need to use keyboard shortcuts to copy-and-paste code. (Ctrl + C on a Windows machine or Command + C on a Mac to copy. Then use Ctrl + V on a Windows machine or Command + V on a Mac to paste.)
2.2.7 Regression
Carefully note in the GIF how I have updated the variables to produce a new fit and a new plot. The lm
function expects y ~ x
so make sure you have them in the correct order. In other words, you’ll want to have your “dependent variable” ~ “independent variable”. This is used to get the coefficients from a straight line regression fit of the data. The summary
function produces a lot of important information about this fit.
2.2.8 The remainder of the lab
In the remaining portions of the lab, you are asked to modify the results above to make 4 additional plots. Additionally, you’ll need to provide commentary text below the Discussion header.
2.3 Note on white space
As you look over the R Markdown document you’ll see that there is always a new line of white space between the discussion and the R chunks and also between each of the R chunks. It is highly recommended that you also follow this workflow. You’ll receive some strange errors at times if you try to stack everything together and it’s also much harder to follow for another reader of your document if you have everything bunched together. White space is your friend!
2.4 Spell-check
Just as I’m sure your English teachers have told you to spell check your documents before submitting, you are also encouraged to do so here. There is a built-in spell check option found near the Knit button.
Please run this and carefully read over your lab report before converting it to a PDF and submitting it to Moodle.
2.5 Converting your Word document to PDF
The directions for each lab on Moodle say to upload a PDF version of your lab. You’ll see how to create this PDF from inside Microsoft Word for Mac. A similar procedure can be done using LibreOffice (https://www.libreoffice.org/download/libreoffice-fresh/) on Linux, Mac, or Windows machines or Microsoft Word on a PC. You may also have the option to Save As a PDF there and you can get to this option by going to File -> Save As -> File Format: -> PDF on the Mac if you prefer.
2.6 Note on requesting help
It is extremely helpful for us if you can share a link to your RStudio Project in any emails requesting help. This link is available by going to your RStudio project in the top right corner of RStudio, clicking on it and then selecting Share Project, and then select Sharing as seen in the screenshots below.
The link is given in the Project URL. Please copy this entire link into the body of your emails to Danielle or I so that we can quickly look into your errors.