Relative power consumption at the electrode-retina interface during retinal stimulation with voltage versus current controlled stimulus pulses

The purpose of this study is to compare power consumed at the electrode-retina interface between rectangular current controlled and voltage controlled stimulus pulses

Sympathetic Effects of Internal Carotid Nerve Manipulation on Choroidal Vascularity and Related Measures

Purpose: To investigate specific effects of denervation and stimulation of the internal carotid nerve (ICN) on the choroid and retina. Methods: Female Sprague Dawley rats underwent unilateral ICN transection (n = 20) or acute ICN electrical stimulation (n = 7). Rats in the denervation group were euthanized 6 weeks after nerve transection, and eyes were analyzed for changes in choroidal vascularity (via histomorphometry) or angiogenic growth factors and inflammatory markers (via ELISA). Rats in the stimulation group received acute ICN electrical stimulation with a bipolar cuff electrode over a range of stimulus amplitudes, frequencies, and pulse widths. Choroidal blood flow and pupil diameter were monitored before, during, and after stimulation. Results: Six weeks after unilateral ICN transection, sympathectomized choroids exhibited increased vascularity, defined as the percentage of choroidal surface area occupied by blood vessel lumina. Vascular endothelial growth factor (VEGF) and VEGF receptor-2 (VEGFR-2) protein levels in denervated choroids were 61% and 124% higher than in contralateral choroids, respectively. TNF-α levels in denervated retinas increased by 3.3-fold relative to levels in contralateral retinas. In animals undergoing acute ICN electrical stimulation, mydriasis and reduced choroidal blood flow were observed in the ipsilateral eye. The magnitude of the reduction in blood flow correlated positively with stimulus frequency. Conclusions: Modulation of ICN activity reveals a potential role of the ocular sympathetic system in regulating endpoints related to neovascular diseases of the eye

Design and Analysis of RFIC Subharmonic Double Balanced Mixers for Direct Conversion Applications

http://deepblue.lib.umich.edu/bitstream/2027.42/21123/2/rl1009.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/21123/1/rl1009.0001.001.tx

Loan Approval Prediction Based On The Decision Tree And Random Forest Methods.

Two of the most popular decision-making techniques used in machine learning are Decision Trees and Random Forests. In this project, I will be analyzing the differences between Decision Trees and Random Forests and will discuss the advantages and disadvantages of each technique in detail. In particular, I have computed the F1-score of each technique for the same data set in order to compare their performance. The F1-score is a weighted average of the precision and recall, with 1 representing the best score possible and 0 the worst score possible. In addition, I compare the predictions made by Decision Trees and Random Forests and create graphical visualizations of how much importance each technique gives to each variable in the data set

The usage, quality and relevance of information and communications technologies in patients with chronic urticaria : A UCARE study

Chronic urticaria (CU) is characterized by itchy recurrent wheals, angioedema, or both for 6 weeks or longer. CU can greatly impact patients' physical and emotional quality of life. Patients with chronic conditions are increasingly seeking information from information and communications technologies (ICTs) to manage their health. The objective of this study was to assess the frequency of usage and preference of ICTs from the perspective of patients with CU. In this cross-sectional study, 1800 patients were recruited from primary healthcare centers, university hospitals or specialized clinics that form part of the UCARE (Urticaria Centers of Reference and Excellence) network throughout 16 countries. Patients were >12 years old and had physician-diagnosed chronic spontaneous urticaria (CSU) or chronic inducible urticaria (CIndU). Patients completed a 23-item questionnaire containing questions about ICT usage, including the type, frequency, preference, and quality, answers to which were recorded in a standardized database at each center. For analysis, ICTs were categorized into 3 groups as follows: one-to-one: SMS, WhatsApp, Skype, and email; one-to-many: YouTube, web browsers, and blogs or forums; many-to-many: Instagram, Twitter, Facebook, and LinkedIn. Overall, 99.6% of CU patients had access to ICT platforms and 96.7% had internet access. Daily, 85.4% patients used one-to-one ICT platforms most often, followed by one-to-many ICTs (75.5%) and many-to-many ICTs (59.2%). The daily ICT usage was highest for web browsers (72.7%) and WhatsApp (70.0%). The general usage of ICT platforms increased in patients with higher levels of education. One-to-many was the preferred ICT category for obtaining general health information (78.3%) and for CU-related information (75.4%). A web browser (77.6%) was by far the most commonly used ICT to obtain general health information, followed by YouTube (25.8%) and Facebook (16.3%). Similarly, for CU-specific information, 3 out of 4 patients (74.6%) used a web browser, 20.9% used YouTube, and 13.6% used Facebook. One in 5 (21.6%) patients did not use any form of ICT for obtaining information on CU. The quality of the information obtained from one-to-many ICTs was rated much more often as very interesting and of good quality for general health information (53.5%) and CU-related information (51.5%) as compared to the other categories. Usage of ICTs for health and CU-specific information is extremely high in all countries analyzed, with web browsers being the preferred ICT platfor

How are patients with chronic urticaria interested in using information and communication technologies to guide their healthcare? A UCARE study

Background: Patients with chronic urticaria (CU) are increasingly using information and communication technologies (ICTs) to manage their health. What CU patients expect from ICTs and which ICTs they prefer remains unknown. We assessed why CU patients use ICTs, which ones they prefer, and what drives their expectations and choices. Methods: In this cross-sectional study, 1841 patients across 17 countries were recruited at UCAREs (Urticaria Centers of Reference and Excellence). Patients with CU who were >12 years old completed a 23-item questionnaire. Results: Most patients were interested in receiving disease information (87.3%), asking physicians about CU (84.1%), and communicating with other patients through ICTs (65.6%). For receiving disease information, patients preferred one-to-one and one-to-many ICTs, especially web browsers. One-to-one ICTs were also the ICTs of choice for asking physicians about urticaria and for communicating with other patients, and e-mail and WhatsApp were the preferred ICTs, respectively. Many-to-many ICTs such as Facebook, Instagram, LinkedIn, and Twitter were least preferred for all 3 purposes. Living in rural areas and higher education were linked to higher odds of being interested in receiving disease information, asking physicians, and communicating with patients through ICTs. Conclusions: Most patients and especially patients with higher education who live in rural areas are interested in using ICTs for their healthcare, but prefer different ICTs for different purposes, ie, web browsers for obtaining information, e-mail for asking physicians, and WhatsApp for communicating with other patients. Our findings may help to improve ICTs for CU

How are patients with chronic urticaria interested in using information and communication technologies to guide their healthcare? A UCARE study

Background: Patients with chronic urticaria (CU) are increasingly using information and communication technologies (ICTs) to manage their health. What CU patients expect from ICTs and which ICTs they prefer remains unknown. We assessed why CU patients use ICTs, which ones they prefer, and what drives their expectations and choices. Methods: In this cross-sectional study, 1841 patients across 17 countries were recruited at UCAREs (Urticaria Centers of Reference and Excellence). Patients with CU who were >12 years old completed a 23-item questionnaire. Results: Most patients were interested in receiving disease information (87.3%), asking physicians about CU (84.1%), and communicating with other patients through ICTs (65.6%). For receiving disease information, patients preferred one-to-one and one-to-many ICTs, especially web browsers. One-to-one ICTs were also the ICTs of choice for asking physicians about urticaria and for communicating with other patients, and e-mail and WhatsApp were the preferred ICTs, respectively. Many-to-many ICTs such as Facebook, Instagram, LinkedIn, and Twitter were least preferred for all 3 purposes. Living in rural areas and higher education were linked to higher odds of being interested in receiving disease information, asking physicians, and communicating with patients through ICTs. Conclusions: Most patients and especially patients with higher education who live in rural areas are interested in using ICTs for their healthcare, but prefer different ICTs for different purposes, ie, web browsers for obtaining information, e-mail for asking physicians, and WhatsApp for communicating with other patients. Our findings may help to improve ICTs for CU