Miracle-dz/UniFAR-FTUs huggingface dataset:
Drugs in development for prophylaxis of rejection in kidney-transplant recipients

Transplantation is the preferred treatment option for individuals with end-stage renal disease. Individuals who undergo transplantation must chronically be maintained on an immunosuppression regimen for rejection prophylaxis to help ensure graft survival. Current rejection prophylaxis consists of using a combination of calcineurin inhibitors, mTOR inhibi- tors, antimetabolite agents, and/or corticosteroids. These agents have collectively improved the short-term outcomes of renal transplantation, but improvements in late/chronic graft loss and recipient survival have lagged significantly behind challenging the field of transplantation to develop novel prophylactic agents. There have been several clinical trials conducted within the last 5 years in an attempt to bring such novel agents to the commercial market. These trials have resulted in the US Food and Drug Administration (FDA) approval of extended-release tacrolimus, as well as belatacept, which has the potential to replace calcineurin inhibitors for rejection prophylaxis. Other trials have focused on the development of novel calcineurin inhibitors (voclosporin), costimulation blockade (ASKP1240 and alefacept), kinase inhibitors (tofacitinib and sotrastaurin), and inhibitors of leukocyte migration (efalizumab). While these later agents have not been FDA-approved for use in transplantation, they remain noteworthy, as these agents explore pathways not previously targeted for allograft-rejection prophylaxis. The purpose of this review was to consolidate available clinical trial data with regard to the recent developments in rejection prophylaxis in kidney transplantation.
InfectIous DIsease Chapter 82 the Febrile Patient

Fever is a common problem in the intensive care unit (ICU). A prospective observational study in a general ICU reported fever (core temperature over 38.3°C) in 70% of patients, caused equally by infective and noninfective processes (1). In a large retrospective cohort study (24,204 ICU admissions), Laupland et al. (2) reported that 44% of patients experienced a temperature higher than 38.2°C during their ICU stay; 17% of these patients had positive cultures. The discovery of fever in an ICU patient has significant impact on health care costs, as blood cultures, radiologic imaging, and antibiotics routinely follow. It is, therefore, important to have a good understanding of the mechanisms and etiology of fever in ICU patients, how and when to initiate a diagnostic workup, and when initiation of antibiotics is indicated. The Society of Critical Care Medicine and the Infectious Disease Society of America considers a temperature of 38.3°C or greater (101°F) a fever in an ICU patient which warrants further evaluation (3). This does not necessarily imply that a temperature below 38.3°C (101°F) does not require further investigation, as many variables determine a patient’s febrile response to an insult. In addition, it should be recognized that there is a daily fluctuation of temperature by 0.5° to 1.0°C, with women having wider variations in temperature than men. Furthermore, with aging, the maximal febrile response decreases by about 0.15°C per decade. Accurate and reproducible measurement of body temperature is important in detecting disease and in monitoring patients with an elevated temperature. A variety of methods are used to measure body temperature, combining different sites, instruments, and techniques (4,5). Infrared ear thermometry has been demonstrated to provide values that are a few tenths of a degree below the temperature in the pulmonary artery and brain. Rectal temperatures obtained with a mercury thermometer or electronic probe are often a few tenths of a degree higher than core temperatures. However, patients perceive having rectal temperatures taken as unpleasant and intrusive. Furthermore, access to the rectum may be limited by patient position with an associated risk of rectal trauma. Many tachypneic patients are unable to keep their mouth closed to obtain an accurate oral temperature. Axillary measurements substantially underestimate core temperature and lack reproducibility. Body temperature is, therefore, most accurately measured by an intravascular thermistor; however, measurement by infrared ear thermometry or with an electronic probe in the rectum is an acceptable alternative. PathogeneSiS oF Fever
Illinois Soil Nitrogen Test for Prediction of Fertilizer Nitrogen Needs of Corn in Virginia

Soil Sci. Soc. Am. J. 73:434-442doi:10.2136/sssaj2007.0437Received 20 Dec. 2007. *Corresponding author (John.spargo@ars.usda.gov). © Soil Science Society of America677 S. Segoe Rd. Madison WI 53711 USAAll rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher.
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level

Network dynamics has always been a meaningful topic deserving exploration in the realm of academy. previous network models contain two parts: (1) generating structure as per user property; (2) changing property as per network structure. Properties in these models, however, cannot be interpreted to concept in prevalent social theories or empirical truth. Also, they usually treat everyone in an uniform fashion. While such assumption is quite misguiding, and thus saliently limits their performance. To overcome these flaws, we devise a personalized evolving model for social network and opinion (PENO), where citizens' ideology is revealed by variable opinions and four dimensions of personality are considered for each entity - leadership, openness, agreeableness, and neuroticism. Opinion propagates via social tie, tie generates from opinion affinity, and personalities integrally work with opinion and tie across evolution. To our best knowledge, PENO is the first attempt to introduce personality impact in network dynamics and verify social science with reasonable visualization during simulation. We also present its probabilistic graph and conceive iterative learning algorithm. Experiments show PENO outperforms several state-of-the-art baselines over two typical prediction tasks - congress voting prediction for legislative bills and friendship prediction on a book-commenting website. Finally, we discuss its scalability to do multi-task learning and transfer learning in daily scenarios.
РЕВМАТОИДНЫЙ АРТРИТ В РЕВМАТОЛОГИЧЕСКОЙПРАКТИКЕ РОССИИ: ТЯЖЕСТЬ ЗАБОЛЕВАНИЯ В РОССИЙСКОЙПОПУЛЯЦИИ БОЛЬНЫХ. ОДНОМОМЕНТНОЕ (ПОПЕРЕЧНОЕ)ЭПИДЕМИОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ (RAISER)

Objective: To study the severity of rheumatoid arthritis in a Russian patient population on the basis of the data of rheumatological care. Methods. Polyclinic and hospital rheumatologists from 27 cities and towns of Russia (a total of 30 centers) participated in the cross-sectional epidemiological study. The study included all patients with valid rheumatoid arthritis, who had consecutively turned to a polyclinic rheumatologist or who had been treated at hospital during the established 3-month period. The demographic and social characteristics of a patient, his/her occupation, comorbidity, the onset and duration of rheumatoid arthritis, clinicofunctional status at the study and antirheumatic therapy were recorded. Results. A total of 1504 patients, including 1271 women, were enrolled; their mean age at the study was 53 years; the mean duration of the disease (after the onset of its first symptoms) was 10.5 years. Most (66%) patients had a family. More than half of the examinees were professionals and specialists. More than 64% of patients were unemployed at the study. Mean disease activity scores were high: morning stiffness [Ме, range 25-75%] for mean 60.0 (30.0-180) min; number of tender (mean [SD] - 26.1±15.8), and swollen (13.4±11.4) joints; ESR, 29.45±15.5 mm/hr; pain, 58.1±22.6 mm (VAS); general health status, 57.4±20.6 mm (VAS). The mean DAS28 score (mean [SD]) was 5.44±1.18. The absolute majority (94%) of patients had erosive arthritis (Steinbrocker stages II-IV). Severe extraarticular manifestations were identified in 10%. The distribution of the patients by the ACR functional classes was as follows: Class I, 8%; Class II, 29%; Class III, 52%, and Class IV, 11%. Comorbidity was as high as 75%, there was a preponderance of cardiovascular diseases, diabetes mellitus, and chronic lung disease. The mean HAQ score in the examined patient cohort was 1.81±0.8. At the study, 89 and 43% of the patients received nonsteroidal anti-inflammatory drugs and systemic glucocorticoids, respectively. Methotrexate (62%) headed the list of basic anti-inflammatory drugs, sulfasalazine (8%), leflunomide (7%), and aminoquinolines (6%) were much less frequently used. Biologicals were given to 9% of the patients. Conclusion. The examined cohort of Russian patients with rheumatoid arthritis, which reflects experience in real clinical practice, is generally characterized by the severe course of the disease in both clinical and functional parameters.
Digital forensics formats: seeking a digital preservation storage format for web archiving

In this paper we discuss archival storage formats from the point of view of digital curation and preservation. Considering established approaches to data management as our jumping off point, we selected seven format attributes which are core to the long term accessibility of digital materials. These we have labeled core preservation attributes. These attributes are then used as evaluation criteria to compare file formats belonging to five common categories: formats for archiving selected content (e.g. tar, WARC), disk image formats that capture data for recovery or installation (partimage, dd raw image), these two types combined with a selected compression algorithm (e.g. tar+gzip), formats that combine packing and compression (e.g. 7-zip), and forensic file formats for data analysis in criminal investigations (e.g. aff, Advanced Forensic File format). We present a general discussion of the file format landscape in terms of the attributes we discuss, and make a direct comparison between the three most promising archival formats: tar, WARC, and aff. We conclude by suggesting the next steps to take the research forward and to validate the observations we have made.
Whisper speech processing: analysis, modeling, and detection with applications to keyword spotting

Human-to-human and human-to-machine based speech interaction can occur with different levels of vocal effort depending on speaking style, emotion, and need for privacy. In general, the speech signal can be grouped into five categories: whisper, soft, neutral, loud and shouted based on vocal efforts. Current speech processing systems are designed to deal with neutral speech. However, whispered speech has a profound negative impact on performance of speech processing systems due to fundamental differences in the production mechanism. This dissertation focuses on identification of whispered speech embedded within a neutral speech audio stream, followed by keyword spotting for the detected whispered segments. To conduct analysis and algorithm development for this study, three corpora are developed. This dissertation then proposes several novel algorithms to address detection of whisper-islands within an audio stream in both close-talk and distant speech capture environments. These algorithms are formulated following a two-stage framework which detects the vocal effort change points in the first step, followed by classification of vocal effort of the segments obtained from detected change points. Vocal effort classification algorithms are developed in both model-base and model-less frameworks. To cope with the degradation of the whisper-island detection caused by environmental effects, two algorithms are developed. The first employs a microphone array enhancement technique. The second algorithm addresses distant whisper-island detection using model information for both discriminant feature development and vocal effort classification. The second goal of this dissertation addresses the problem of improving keyword spotting performance for embedded whispered speech. The proposed algorithm employs a vector Taylor series expansion to estimate the feature vectors for whispered speech, which is adapted to the neutral speech of corresponding content. The maximum a posterior (MAP) and maximum likelihood linear regression (MLLR) are both used to adapt the acoustic model trained with neutral speech. After deploying the proposed advancements, keyword spotting performance for whisper is improved, thus supporting the concept that a vector Taylor series expansion is helpful for speech recognition application using speech under whisper. This dissertation has therefore contributed to proposing several advanced algorithms for whisper-island detection, as well as keyword spotting enhancement for whisper. Such advancements will ultimately contribute to improved robust speech processing and recognition solutions in real environments.
PRACTICAL PERFORMANCE ESTIMATION ON SHARED-MEMORY MULTIPROCESSORS

1 Abstract There has been much work done modeling, simulating, and measuring the performance of locking primitives under high levels of contention. However, an important key to producing high-performance parallel programs is to maintain extremely low levels of contention. Despite its importance, the low-contention regime has been largely neglected. In order to fill this gap, this paper analyzes the performance of several commonly used locking primitives under low levels of contention. The costs predicted by a number of analysis methodologies are compared to measurements taken on real hardware, thereby showing where each may be safely used.
ProCAss: An intelligent assessment for computer programming corpus

Electronic assessment (e-assessment) becomes more popular in educational tools especially in e-learning environment.This is because it has some advantages such as reducing the staffs needed for assessment tasks, automated marking is not prone to human error and it gives instant feedback to the students.However, the e-assessment existed only more on assessing essays and lack of implementation in assessing computer program in computer science environment [Haley, et.al, 2003]. This paper will briefly describe on the techniques that have been used to implement e-assessment for essays such as Project Essay Grade (PEG), E-rater, Intelligent Essay Assessor (IEA) and Latent Semantic Analysis (LSA). Mainly, the discussion will concentrate on LSA to build the eassessment for computer programming corpus.One great advantage of LSA over the others is its ability to make absolute relative comparisons, where set of documents can be compared to each other, or to an answer schema.Another reason is the computer program produces programs in a subset of English-like words, a bit similar to an essay [Haley, et.al, 2003]. This paper will propose system design integrated with LSA method to assess student’s programming assignments. Then, the ability of LSA algorithm in grading computer program corpus will be evaluated.The grading process will not limited on certain programming languages, but on any programming languages.
A Treatise on the Analytical Dynamics of Particles and Rigid Bodies: INDEX OF TERMS EMPLOYED

Thu, 13 Dec 2018 05:59:00 GMT a treatise on the analytical pdf In classical mathematics, analytic geometry, also known as coordinate geometry or Cartesian geometry, is the study of geometry using a coordinate system.This contrasts with synthetic geometry. Analytic geometry is widely used in physics and engineering, and also in aviation, rocketry, space science, and spaceflight.It is the foundation of most modern fields of geometry, including algebraic . Sun, 09 Dec 2018 00:20:00 GMT Analytic geometry Wikipedia The Sciencemadness library currently holds 50426 pages of reading and reference material in 107 volumes. Shorter articles from the old Sciencemadness library remain available. Thanks go to BromicAcid for providing hosting for these old books during our time of lean bandwidth. Thanks also go to S.C. Wack for providing many of the books found here. Most of these books are provided as PDF with . Sat, 15 Dec 2018 05:21:00 GMT Scientific and technical books of yesteryear Sciencemadness 01 ANALYTICAL PROCEDURES Laboratory Manual 01-1/
A New Tripartite Modularity for Detecting Communities

Many users are attracted by online social media such as Delicious and Digg, and they put tags on online resources. Relations among users, tags, and resources are represented as a tripartite network composed of three types of vertices. Detecting communities (densely connected subnetworks) from such tripartite networks is important for finding similar users, tags, and resources. For unipartite networks, several attempts have been made for detecting communities, and one of the popular approaches is to optimize modularity, a measurement for evaluating the goodness of network divisions. Modularity for bipartite networks is proposed by Barber, Guimera, Murata and Suzuki. However, as far as the author knows, there is few attempt for defining modularity for tripartite networks. This paper defines a new tripartite modularity which indicates the correspondence between communities of three vertex types. By optimizing the value of our tripartite modularity, better community structures can be detected from synthetic tripartite networks.
Real-time cloud simulation and rendering

Clouds play an important role in computer game and simulator scenes, but both rendering of clouds and simulation of their movement are difficult because of their physical characteristics. The problem gets even more involved when the operations have to be done under real-time constraints with limited hardware capabilities. In this thesis, we describe methods for cloud simulation and rendering. We implemented a fast method for cloud simulation based on cellular automata using the \CC programming language. We realized cloud rendering by using the OpenGL library. Our rendering method is based on volumetric ray casting and approximates single-scattering of light by traversing additional shadow rays. The proposed method can realize cloud simulation and rendering in real-time on modern computers.
Análise e Geração de Vizinhança em Redes de Contato Intermitente

A modelagem dinâmica de redes oportunísticas se baseia no conhecimento dual dos contatos e dos intercontatos. Este trabalho propõe o uso de uma visão estendida, na qual os nós rastreiam sua vizinhança estendida (a alguns saltos) e não somente seus vizinhos diretos. Para tal, é introduzido um método que permite aos nós preverem se outros estarão em alcance dada a posição atual e os movimentos anteriores. Essa abordagem é contrária às existentes nas quais os padrões de contato são extraídos da mobilidade espacial dos nós. O método proposto é aplicado a vários traços reais e sintéticos. Inicialmente, um novo algoritmo é provido bem como uma modelagem intuitiva para compreender o entorno de um nó. Em seguida, são destacadas duas cadeias principais de comportamento da vizinhança. Finalmente, três principais tipos de movimento (nascimento, morte e sequencial) são identificados assim como os seus padrões predominantes. Toda essa análise culmina no desenvolvimento de um gerador de vizinhança capaz de gerar traços de contato entre pares de nós. Tal gerador pode criar traços preservando características reais para simulações em diferentes escalas de tempo.
List of FPGA-based computing machines

Welcome to the list of FPGA-based computing machines. This list was first compiled in the beginning of 1994, where there were a small handful of FPGA boards available. Since then the number has grown considerably. Because of the large and growing number of FPGA-based systems currently available, I have decided to stop making additions to this list and leave it available as an historical document. The last entry added to this list was in March 1999. Other more up to date places to find a variety of FPGA-based hardware are available. I suggest Optimagic's Programmable Logic Jump Station as a good resource.
Few-cycle soliton propagation

Soliton propagation is usually described in the "slowly varying envelope approximation" regime, which is not applicable for ultrashort pulses. We present theoretical results and numerical simulations for both nonlinear Schrodinger and parametric (Χ ( 2 ) ) ultrashort solitons in the "generalized few-cycle envelope approximation" regime, demonstrating their altered propagation.
The distributional characteristics of a selection of contracts traded on the London International Financial Futures Exchange

This study examines the distributional properties of futures prices for contracts traded on LIFFE. A filtering process is employed to remove day of the week and holiday effects, a maturity effect, moving average effects and the influence of an asset's conditional variance from the raw returns series. Alternative distributional models from the stable paretian and ARCH families are examined for their applicability to futures data using a stability under additions. The results conclusively reject the hypothesis that futures returns are normally distributed with findings in favour of two related hypotheses - the mixtures of stable distribution and the ordinary stable distribution. Copyright Blackwell Publishers Ltd 2000.
The value of guided operating theatre experience for undergraduate nurses

The Australian population is ageing which, in turn, will lead to an increased demand for surgical health services. So too the perioperative nurse matures, with over 50 per cent of the current Australian perioperative nursing workforce being older than 51 years; 41 per cent are between 51 and 60 years, and 15 per cent are older than 60 years of age.