Gist Ism Software Download
Evelina Kealohanui
Gists provide a simple way to share code snippets with others. Every gist is a Git repository, which means that it can be forked and cloned. If you are signed in to GitHub when you create a gist, the gist will be associated with your account and you will see it in your list of gists when you navigate to your gist home page.
Gists can be public or secret. Public gists show up in Discover, where people can browse new gists as they're created. They're also searchable, so you can use them if you'd like other people to find and see your work.
Secret gists don't show up in Discover and are not searchable unless you are logged in and are the author of the secret gist. Secret gists aren't private. If you send the URL of a secret gist to a friend, they'll be able to see it. However, if someone you don't know discovers the URL, they'll also be able to see your gist. If you need to keep your code away from prying eyes, you may want to create a private repository instead.
You can discover public gists others have created by going to the gist home page and clicking All Gists. This will take you to a page of all gists sorted and displayed by time of creation or update. You can also search gists by language with Gist Search.
You can download a ZIP file of a gist by clicking the Download ZIP button at the top of the gist. You can embed a gist in any text field that supports Javascript, such as a blog post. To get the embed code, click the clipboard icon next to the Embed URL of a gist. To embed a specific gist file, append the Embed URL with ?file=FILENAME.
Morgan J, Raut CP, Duensing A, Keedy VL. Epidemiology, classification, clinical presentation, prognostic features, and diagnostic work-up of gastrointestinal stromal tumors (GIST). UpToDate. 2019. Accessed at -classification-clinical-presentation-prognostic-features-and-diagnostic-work-up-of-gastrointestinal-stromal-tumors-gist on October 14, 2019.
A framework is presented for understanding how misinformation shapes decision-making, which has cognitive representations of gist at its core. I discuss how the framework goes beyond prior work, and how it can be implemented so that valid scientific messages are more likely to be effective, remembered, and shared through social media, while misinformation is resisted. The distinction between mental representations of the rote facts of a message-its verbatim representation-and its gist explains several paradoxes, including the frequent disconnect between knowing facts and, yet, making decisions that seem contrary to those facts. Decision makers can falsely remember the gist as seen or heard even when they remember verbatim facts. Indeed, misinformation can be more compelling than information when it provides an interpretation of reality that makes better sense than the facts. Consequently, for many issues, scientific information and misinformation are in a battle for the gist. A fuzzy-processing preference for simple gist explains expectations for antibiotics, the spread of misinformation about vaccination, and responses to messages about global warming, nuclear proliferation, and natural disasters. The gist, which reflects knowledge and experience, induces emotions and brings to mind social values. However, changing mental representations is not sufficient by itself; gist representations must be connected to values. The policy choice is not simply between constraining behavior or persuasion-there is another option. Science communication needs to shift from an emphasis on disseminating rote facts to achieving insight, retaining its integrity but without shying away from emotions and values.
The diagnosis and treatment of gastrointestinal stromal tumors require coordination by physicians across numerous specialties. This care often involves a primary care provider who may help in the initial work-up of the disease as well as treatment compliance, an endoscopist who may be needed to visualize the disease or obtain biopsies, a skilled pathologist with experience in the diagnosis of GISTs, a surgeon to resect the disease when possible, a medical oncologist to conduct therapy with tyrosine kinase inhibitors, and a radiologist to evaluate the tumor before therapy as well as during treatment.[22][23] Gastroenterology and oncology nurses are involved in the evaluation, coordination of care, monitoring, and documentation. Oncologic pharmacists review prescriptions and check for drug interactions. An interprofessional approach to care has been shown to improve outcomes, and it is recommended by the National Comprehensive Cancer Network that these patients be discussed with a tumor board.[22]
International students enrolled in US universities are limited to a certain number of credit hours from online courses every semester. Currently, most of the GIST courses are taught online. Prior to submitting an application, international students should contact UW International Students and Scholars (uwgl...@uwyo.edu) and the GIST Program Director (gi...@uwyo.edu) to learn about the current requirement and how it could affect their immigration status.***
Biopsy: We remove a small tissue sample, typically with a thin needle during an endoscopic ultrasound. The ultrasound helps guide the needle, ensuring precision. A type of doctor called a pathologist uses a microscope to check the tissue for cancer cells.
An interesting question is: which region of the visual field is most useful for recognizing the gist of a scene, central vision (the fovea and parafovea), based on its higher visual acuity and importance for object recognition, or the periphery, based on its larger size and how lower spatial frequencies are useful for scene gist recognition? (Here are links to a YouTube video describing the results of a study on this topic, and also a newspaper article covering it by United Press International.)
We have done a number of studies investigating this issue. In these studies, scenes were presented in two experimental conditions: a "Window" condition with a circular region showing the central portion of a scene but with peripheral information hidden, or a "Scotoma" condition with the central portion of a scene hidden and only the peripheral information available (Loschky & Larson, 2009). Results indicated that the periphery was more useful than central vision for maximum performance (about equal to seeing the entire image!). Nevertheless, central vision was more efficient for scene gist recognition than the periphery on a per-pixel basis. A critical radius of 7.4º was found where the Window and Scotoma performance curves crossed, producing equal performance. This value was compared to predicted critical radii from cortical magnification functions on the assumption that equal V1 activation would produce equal performance. However, these predictions were systematically smaller than the empirical critical radius, suggesting that the utility of central vision for gist recognition is less predicted by V1 cortical magnification.
In addition to scene gist recognition varying over space according to central versus peripheral vision, other studies in our lab have investigated how scene gist recognition varies over time. Scene gist is recognized within a single fixation. However, we have investigated whether gist recognition varies over time within that one fixation. A related issue is whether attentional focus affects scene gist recognition (Evans & Triesman, 2005; Li, et al., 2001). Our previous research showed that both central and peripheral information can produce equal scene gist recognition, provided there is roughly twice as much area in the periphery. However, those studies did not vary processing time (through masking) or manipulate attention. Therefore, we presented "Window" or "Scotoma" conditions using a critical radius, such that both window and scotoma images produced equal gist accuracy when unmasked (i.e., unlimited processing time). We briefly presented images for 24 ms each and varied processing time via the target-to-mask stimulus onset asynchrony (SOA). Our results have shown that at very short SOAs, central information produces better gist recognition than peripheral information, though with unlimited processing time in a single fixation (i.e., no-mask), performance is equal for central and peripheral information. Other research from our lab has also supported this idea, finding that central vision is better at processing scene category early (during the first 100 ms of viewing a scene), while peripheral vision becomes increasingly useful after that time (Larson, Freeman, Ringer, & Loschky, 2013). This indicates that spatiotemporal dynamics of attention play an important role and affect gist recognition, setting spatiotemporal limits on how quickly real-world scenes can be comprehended.
These results are consistent with a zoom-out hypothesis of covert attention where attention is first focused at the center of vision and then rapidly spreads outward, and this affects scene gist recognition.
What level of categorization occurs first in scene gist processing, the basic level (a beach versus a city) or the superordinate level (a "natural" scene versus a "man-made" scene)? The Spatial Envelope model of scene classification and human gist recognition (Oliva & Torralba, 2001) assumes that the superordinate distinction is made prior to basic level distinctions. This assumption contradicts the claim that categorization occurs at the basic level before the superordinate level (Rosch et al., 1976). We carried out a study to test this assumption of the Spatial Envelope model by making viewers categorize briefly flashed, masked scenes after varying amounts of processing time. The results showed that early stages of processing (SOA < 72ms) produced greater sensitivity to the superordinate distinction than basic level distinctions, and also that basic level distinctions crossing the superordinate natural/man-made boundary are treated as a superordinate distinction (Loschky & Larson, 2010). Both results support the assumption of the Spatial Envelope model, and challenge the idea of basic level primacy.
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