A Case of Carotid Aneurysm in Familial Retinal Arterial Tortuosity

A 44-year-old woman who showed recurrent vitreous hemorrhages with vascular tortuosity received CT angiography which revealed an internal carotid artery aneurysm. A case of internal carotid aneurysm was associated with a pattern of retinal arteriolar tortuosity pathognomic for familial retinal arterial tortuosity (fRAT), suggesting possible involvement of the cerebral circulation. We present a case of internal carotid aneurysm associated with a pattern of retinal arteriolar tortuosity pathognomic for fRAT

UC-270 Red Pepper IT: IT Web Management Application and Content Management System

Red Pepper IT is an application developed for Georgia Tech Research Institute. The conception of this project arose from the lack of IT management tools that can address all the needs of an IT department. Furthermore, with the currently available tools, they are either poorly designed or have a high licensing cost. This project seeks to solve the need for such applications by building an open-source application that can be deployed internally by any business seeking a management tool for its IT department

Clinical Implications of Landing Distance on Landing Error Scoring System Scores

Context: The Landing Error Scoring System (LESS) screens for the risk of non-contact anterior cruciate ligament injury. The LESS requires individuals to jump forward from a 30-cm box to a distance of 50% of their body height. However, different landing distances have been cited in the scientific literature. Objective: To examine whether landing distance influences LESS outcomes. Design: Cross-sectional study. Setting: Laboratory. Participants or Other Participants: Seventy young active individuals (34 males, 36 females). Intervention(s): Participants performed 33 30-cm jump landing tasks under 2 landing conditions in randomized order: (1) 50% of body height (d50%), (2) self-selected distance (dss). Main Outcome Measure(s): Mean LESS scores, proportions of individuals categorized at high (LESS: 5 errors) and low (LESS: <5 errors) injury risk, and landing distances were compared between conditions using generalized estimating equations. Consistency of risk categorization was examined using odds ratios (ORs) and McNemar tests. McNemar and Wilcoxon signed rank tests were used to compare the occurrence of specific LESS errors. Results: Participants landed closer to the box under the dss condition (difference = 23.28 [95% CI = 20.73, 25.81]%, P < .001). Group mean LESS scores (difference = 0.01 [95% CI = 0.59, 0.57] error, P = .969) and risk categorization (OR = 0.94 [95% CI = 0.47, 1.88], P = .859) were similar between conditions. However, individual-level risk categorization was inconsistent in 33% of participants, as was the occurrence of specific errors. Conclusions: Using dss during the LESS might lead to different LESS errors and risk categorizations at an individual level than using d50%. Given that individual LESS scores are of primary interest in clinical and sport settings and the injury-risk threshold has not been validated for dss, we recommend the use of the original LESS protocol. When only group mean LESS scores or proportions of at-risk individuals are of interest, using dss is feasible to facilitate the testing of large cohorts

APIHarvest: Harvesting API Information from Various Online Sources

Using APIs to develop software applications is the norm. APIs help developers to build applications faster as they do not need to reinvent the wheel. It is therefore important for developers to understand the APIs that they plan to use. Developers should also make themselves aware of relevant information updates about APIs. In order to do so, developers need to find and keep track of relevant information about the APIs that they are concerned with. Yet, the API information is scattered across various online sources, which makes it difficult to track by hand. Moreover, identifying content that is related to an API is not trivial. Motivated by these challenges, in this work, we introduce a tool named \tool that aims to ease the process of finding API information from various online sources. \tool is built on works that link APIs or libraries to various online sources. It supports finding API information on GitHub repositories, Stack Overflow's posts, tweets, YouTube videos, and common vulnerability and exposure (CVE) entries; and is extensible to support other sources

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge

Utilizing pre-existing software artifacts, such as libraries and Application Programming Interfaces (APIs), is crucial for software development efficiency. However, the abundance of artifacts that provide similar functionality can lead to confusion among developers, resulting in a challenge for proper selection and implementation. Through our preliminary investigation, we found that utilizing the collective knowledge of a crowd can greatly assist developers in acquiring a thorough and complete understanding of the complexities involved in the software development process. Especially as emotions are an inseparable part of human nature, it influences developers' activities. In this regard, we attempt to build a tool that can retrieve sentiment information for software APIs so that developers can determine APIs to utilize for their tasks. We employ the dataset from the most popular platforms (i.e., Twitter and YouTube) to build our research prototype. The source code, tool, and demo video are available on GitHub at \url{https://github.com/FalconLK/APISens}

Topical Glycopirrolate for the Management of Hyperhidrosis in Herpetic Neuralgia

Herpes zoster is a relapse of varicella. In certain cases, long-term pain and hyperhidrosis have been noted. Appearance of herpes zoster during pregnancy is infrequent. We described hyperhidrosis and pain treatment using glycopirrolate cream in a pregnant woman with herpetic neuralgia. A 32 year old woman, 21 weeks pregnant with second child, complained to her gynecologist of the appearance of a vesicular rash on the left half of the forehead that progressed toward her left eyelid, accompanied by lancinating pain, allodynia, hyperhidrosis and small edema, blepharitis and conjunctivitis. Following clinical and laboratory tests, she was diagnosed with herpes zoster ophtalmicus. Aciclovir therapy was administered 800 mg orally five times daily for seven days. Pain therapy was initiated with amitriptilline. We discontinued amitriptilline therapy after 10 days because of appearance of unwanted side effects. After skin changes ceased, we introduced Lidocaine patch into pain therapy which reduced the allodynia, but not the lancinating pain and hyperhidrosis. At that time we began using glycopirrolate cream which reduced pain intensity by 28.5% within 24 hours, and completely eliminated hyperhidrosis. After 48 hours of use, the pain completely disappeared. During the Glycopirrolate cream therapy, there were no side effects. This is a first report to document that a topical Glycopirrolate cream has a beneficial effect in a patient with hyperhidrosis and herpetic neuralgia

New Trade Models, Same Old Gains?

Micro-level data have had a profound influence on research in international trade over the last ten years. In many regards, this research agenda has been very successful. New stylized facts have been uncovered and new trade models have been developed to explain these facts. In this paper we investigate to what extent answers to new micro-level questions have affected answers to an old and central question in the field: how large are the welfare gains from trade? A crude summary of our results is: "So far, not much." (JEL F11, F12)