Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmakotherapie des Parkinson

Zusammenfassung Die Suche nach besseren symptomatischen Parkinson-Therapeutika hat in den letzten Jahren zahlreiche Neuentwicklungen hervorgebracht. Levodopa ist weiterhin zentraler Therapiebaustein. Die Hersteller suchen nach Wegen, um den Nachteil der kurzen Plasmahalbwertszeit dieser Aminosäure zu kompensieren. In den USA ist eine neue Levodopa-Carbidopa-Galenik mit einer langsameren Wirkstoffreissetzung für fluktuierende Parkinson-Patienten neu auf dem Markt. Hierzu werden eine inhalative und eine subkutane Darreichungsform des Levodopa klinisch geprüft. Der einzige erst jüngst neu zugelassene neue Wirkstoff seit 2007, das Safinamid, beeinflusst die Monoaminooxidase (MAO) sowie den Glutamatstoffwechsel und verspricht mehr dopaminerge Wirkung ohne Auslösung von Dyskinesien. Neue COMT-Inhibitoren sollen ebenso das Levodopa mittels einer Hemmung dieses Abbauweges besser verfügbar machen. Ältere Substanzen wie der NMDA-Inhibitor Amantadin werden neu aufgelegt, um Levodopa induzierte Dyskinesien zu behandeln. Die Gruppe der mGluR5-Antagonisten zielen ebenso auf diese Indikation ab. Mehrere Adenosinantagonisten wurden entwickelt, um über nicht dopaminerge Mechanismen Parkinson-Symptome zu reduzieren. Das Pimavanserin ist ein inverser Serotoninagonist der an psychotischen Parkinson-Patienten erfolgreich geprüft wurde. Eine Studie zu parkinsonassoziierten Schmerzen untersuchte die Kombination Oxycodon und Naloxon bei schweren Schmerzen mit gemischten Ergebnissen. Noch nicht einzuschätzen sind die Möglichkeiten immunotherapeutischer Ansätze, z. B. die „Parkinson-Impfung“ und monoklonale Antikörper, gegen Alphasynuklein, die inzwischen klinisch untersucht werden.
Valoración cognitiva y funcional del paciente psicogeriátrico en una unidad psiquiátrica de corta estancia

Psychiatric disorders are present in dementia (Cognitive damage) and they are part of the psychological and behavioral dementias (SPCD), which are present in almost every patient and a very important cause for psychogeriatric patients´admission. Methodology: Cognitive damage was analysed (MEC de Lobo, Pfeiffer test and semantic and verbal fluency) and functional abilities in elderly inpatients, who were older than 65 years old, were also analysed (Barthel test) for 3 months. Relating these to the different sociodemographic variables. Results: Half of the 18 patients who were analyzed and studied, had any type of depressive symptoms and between 22-44% showed some signs of cognitive damage according to the test used to sieve. Discussion/Conclusions: Psychiatric disorders measured with NPI are directly related to the disability degree for AVD´s and at the same time, this is related to the admission span. The different percentages which affect cognitive damage according to the test used, shows the importance of the correct test´s choice depending on the studied population and the type of analysis accomplished.
Corporate Collapse - Regulatory, Accounting and Ethical Failure

Some people may be laughing when looking at you reading in your spare time. Some may be admired of you. And some may want be like you who have reading hobby. What about your own feel? Have you felt right? Reading is a need and a hobby at once. This condition is the on that will make you feel that you must read. If you know are looking for the book enPDFd corporate collapse regulatory accounting and ethical failure as the choice of reading, you can find here.
A case of Powassan virus encephalitis.

A case of encephalitis due to Powassan virus, probably transmitted through tick-bite, is reported in an 8-year-old boy. There was a 50-fold increase in neutralization titre against Powassan virus, but the virus could not be isolated. Other virological investigations were negative.The patient survived and early physiotherapy and speech re-education could be instituted. Nine months after onset of illness the patient showed moderate sequelae, despite a very severe illness.
Multidimensional scaling based knowledge provision for new questions in community Question Answering systems

Community-based Question Answering (CQA) sites have become popular since they allow users to get answers to complex, detailed and personal question from other users directly. However, since answering a question depends on the ability and willingness of other users to address the askers' real needs, a significant fraction of the questions remain unanswered. To decrease the unanswered question rate and then improve the user experience, in this paper, a multidimensional scaling (MDS) based data reorganization method is proposed. By using this method, the CQA system can predict the askers' intention and accordingly provide related previous question/answer pairs to help them find useful information. The method has been evaluated on an off-line dataset extracted from Baidu Zhidao and the result has shown its promising potential in knowledge management in CQA systems.
Cerebrospinal-fluid-derived Immunoglobulin G of Different Multiple Sclerosis Patients Shares Mutated Sequences in Complementarity Determining Regions*

B lymphocytes play a pivotal role in multiple sclerosis pathology, possibly via both antibody-dependent and -independent pathways. Intrathecal immunoglobulin G in multiple sclerosis is produced by clonally expanded B-cell populations. Recent studies indicate that the complementarity determining regions of immunoglobulins specific for certain antigens are frequently shared between different individuals. In this study, our main objective was to identify specific proteomic profiles of mutated complementarity determining regions of immunoglobulin G present in multiple sclerosis patients but absent in healthy controls. To achieve this objective, we purified immunoglobulin G from the cerebrospinal fluid of 29 multiple sclerosis patients and 30 healthy controls and separated the corresponding heavy and light chains via SDS-PAGE. Subsequently, bands were excised, trypsinized, and measured with high-resolution mass spectrometry. We sequenced 841 heavy and 771 light chain variable region peptides. We observed 24 heavy and 26 light chain complementarity determining regions that were solely present in a number of multiple sclerosis patients. Using stringent criteria for the identification of common peptides, we found five complementarity determining regions shared in three or more patients and not in controls. Interestingly, one complementarity determining region with a single mutation was found in six patients. Additionally, one other patient carrying a similar complementarity determining region with another mutation was observed. In addition, we found a skew in the κ-to-λ ratio and in the usage of certain variable heavy regions that was previously observed at the transcriptome level. At the protein level, cerebrospinal fluid immunoglobulin G shares common characteristics in the antigen binding region among different multiple sclerosis patients. The indication of a shared fingerprint may indicate common antigens for B-cell activation.
Vingt ans d’application du consensus de Washington à l’épreuve des faits

Le retournement idéologique opéré au début des années 1980 marque l’avènement de stratégies de développement libérales qui fondent le consensus de Washington. Afin de mesurer l’impact de ce dernier sur les pays en développement, nous créons dans un premier temps un indicateur numérique de suivi du consensus de Washington. Cet indicateur multidimensionnel est obtenu par une analyse en composantes principales de ses dix dimensions. Il permet de chiffrer, de 1980 à 2000, le degré d’engagement de 98 pays en développement dans le train de mesures prôné par les institutions financières internationales. Sur la base de cet indicateur, nous montrons que le consensus de Washington n’est pas applicable dans l’intégralité de ses dix dimensions et que les pays ayant fidèlement suivi ses recommandations n’ont globalement pas obtenu de meilleurs résultats économiques que les autres, tandis qu’ils supportaient les conséquences sociales de l’ajustement. Face à ce constat d’échec, la voie du post-consensus est alors explorée.
An edge-based matching kernel on commute-time spanning trees

Bai and Hancock recently proposed a novel edge-based matching kernel for graphs [1], by aligning depth-based representations. Unfortunately, one drawback arising in their kernel is the computational inefficiency for large graphs. This follows the fact that their kernel is essentially defined on directed line graphs. Moreover, the computational complexity of the kernel is cubic in the vertex number of the line graph. Since the directed line graph is a dual representation and each vertex represents a directed arc residing on the edge of the original graph. For a graph having n vertices, there may be at most n(n − 1) directed arcs residing on the edges and thus at most n(n − 1) vertices in the directed line graph. As a result, computing the kernel through the line graphs may require time complexity O(n6) for the worst case, making the kernel unapplicable for graphs having hundreds of vertices. The aim of this paper is to overcome this inefficiency, by proposing a new edge-based matching kernel. In order to cope with large graph structures, we propose to construct a sparser version of the original graph using the simplification method introduced in [2]. More specifically, we compute the minimum spanning tree over the commute time matrix of a graph. This spanning tree representation minimizes the number of edges of the original graph while preserving most of its structural information. With this simplification method to hand, the new edge-based matching kernel between two graphs is then computed on the directed line graphs transformed from their respective minimum spanning trees. We show that this strategy significantly reduces the computational complexity to O(n3). We evaluate the performance of the proposed kernels on several standard graph datasets. The experimental results demonstrate the effectiveness and efficiency.
Fault-tolerant strategies for double three-phase PMSM used in Electronic Power Steering systems

Safety-critical applications like Electronic Power Steering (EPS) systems demand highest reliability of electrical drives in automotive applications. Based on safety standards and associated requirements, the availability can be raised significantly through redundant system structures. In case of critical faults complete loss of steering assistance can be prevented by using different control methods and drive strategies adapted to the redundant structure. This paper shows fault-tolerant strategies for a double three-phase Permanent Magnet Synchronous Motor (PMSM) with independent motor windings and redundant voltage source inverters. Due to the redundant system structure and depending on critical faults it is possible to implement fault-tolerant methods. Fault compensation measures are discussed, making clear how unwanted effects on the steering torque can be contained. The new fault-tolerant strategies were performed on EPS systems to support fail-operational mode taking into account safety requirements.
International Semiotics: Item Difficulty and the Complexity of Science Item Illustrations in the PISA-2009 International Test Comparison

We examined multimodality (the representation of information in multiple semiotic modes) in the context of international test comparisons. Using Program of International Student Assessment (PISA)-2009 data, we examined the correlation of the difficulty of science items and the complexity of their illustrations. We observed statistically significant mean correlation coefficient differences favoring higher-ranking over lower-ranking jurisdictions and non-Western over Western jurisdictions. We examined this correlation as a function of the variety of forms of representation of information used in illustrations. For the highest-ranking jurisdictions, the correlation tended to be positive and its magnitude tended to increase with the number of forms of representation. For the lowest-ranking jurisdictions, the correlation tended to be negative and its magnitude tended to increase with the number of forms of representation. Increased illustration complexity appears to be an affordance in making sense of science items for students from the highest-ranking jurisdictions and a challenge for students from the lowest-ranking jurisdictions. Our findings support the notion that integrating information provided in multiple semiotic modes is critical to science achievement and underscore the importance for science standards and international assessment frameworks to address this skill as intrinsic to (rather than an aspect of) science proficiency.
Visualization in computational fluid dynamics: a case study

VISUAL 3, a highly interactive environment for the visualization of 3D volumetric scientific data, is described. The volume can be broken up in a structured or unstructured manner, and the problem can be static or unsteady in time. Because the data are volumetric and all the information can be changing, traditional CAD techniques are not appropriate. Therefore, VISUAL3 was developed using intermediate mode-rendering methods. A unique aspect of VISUAL3 is the dimensional windowing approach coupled with cursor mapping, which allows efficient pointing in 3D space. VISUAL3 is composed of a large number of visualization tools that can be generally classified into identification, scanning, and probing techniques. <<ETX>>
A Critical Evaluation of the Role of Routine Uses of Statin as a Tool for Primary Prevention of Cardiovascular Diseases

Use of Statin is a cornerstone in modern day medical practice and an essential component for primary prevention of cardiovascular diseases (CVD). Various evidences exemplify and resonate the importance of Statins in reducing CVD mortality and improvement of survivability. However, there is a continental variation in recent guidelines directing lipid-lowering therapy in regards to aim, dose, timing as well as the protocol for initiation of therapy. Similar uncertainties exist with regards to the generalizability of the finding from available evidence, a variation of benefits of Statin with respect to age and gender, the validity of the research conducted and actual gain in survivability and mortality benefits. Thus, there is a need for looking at the actual indications, risk-benefit ratios and cost effectiveness before tediously prescribing Statin for the primary prevention of CVDs. This paper will attempt to critically review the evidence behind the uses of Statins in the primary prevention of CVDs.
Perplexed Bayes Classifier

Naive Bayes classiﬁers estimate posterior probabilities poorly (Zhang, 2004). In this paper, we propose a modiﬁcation to the Naive Bayes classiﬁcation algorithm which improves the classiﬁer’s posterior probability estimates without affecting its performance. Since the modiﬁcation involves the use of the reciprocal of the perplexity of the class-conditional feature probabilities, we call the resulting classiﬁer the Perplexed Bayes classiﬁer. We demonstrate that the modiﬁcation re-sults in better calibrated posterior probabilities on a gender categorization task.
The Implicit Daisy-Chaining Property of Constrained Predictive Control

Systems with redundant control actuators are sometimes arranged so that a new actuator comes into play if the one normally used becomes saturated. We call this 'daisy-chaining'. Such an arrangement also provides a degree of fault- tolerance against actuator failures. This paper points out that a similar property is implicit in constrained predictive control, as it is usually formulated. Predictive control therefore has a degree of implicit fault-tolerance. In order to obtain this property the predictive control must have explicit constraints on the input levels (actuator positions) and the usual disturbance model, which results in integral action arising in the controller. The general considerations dealt with in the paper are illustrated by a simplied example, based on the liquefaction of natural gas.
Metastasis: To and fro

Cancer is one of the most life threatening diseases afflicting mankind. Oral carcinogenesis is a multifactorial process involving numerous genetic events that alter normal functions of oncogenes and tumour suppressor genes. These changes lead to a cell phenotype with increased cell proliferation, with loss of cell cohesion, and infiltration of adjacent tissue thus causing distant metastasis. The fact that cancer patients might develop metastasis after years or even decades from diagnosis of the primary tumor makes the metastatic process even more complex and the disease more deadly. The promise of this article is to enhance the understanding on molecular mechanisms underlying metastasis and provide a better approach towards development of novel therapeutic treatment modalities.
Embarrassingly scalable database systems

Database systems have long optimized for parallel execution; the research community has pursued parallel database machines since the early '80s, and several key ideas from that era underlie the design and success of commercial database engines today. Computer microarchitecture, however, has shifted drastically during the intervening decades. Until the end of the 20th century Moore's Law translated into single-processor performance gains; today's constraints in semiconductor technology cause transistor integration to increase the number of processors per chip roughly every two years. Chip multiprocessor, or multicore, platforms are commodity; harvesting scalable performance from the available raw parallelism, however, is increasingly challenging for conventional database servers running business intelligence and transaction processing workloads.
Navigation system for an autonomous robot using fuzzy logic

- Navigation system for an autonomous robot is an area that is undergoing constant development. This paper describes anautonomous robot that is capable of navigating in a real time environment. This can be achieved by obtaining the information about robot’s environment by using sensors and process it. For implementation of obstacle avoidance, Fuzzy Logic approach is used and is implemented using Arduino-Uno board on mobile robot platform with three sets of ultrasonic sensors mounted on it. The Fuzzy Logic approach allows us to use the ultrasonic or infrared sensors that allow fast and cost effective distance measurements with varying uncertainty.
Real-Time 3D Motion Recognition of Skeleton Animation Data Stream

 Abstract—In this paper, a method for real-time 3D motion recognition based on a hierarchical recognition framework is presented. To facilitate the recognition process, motions are divided into three levels by duration and complexity. SVD (Singular Value Decomposition) is used to extract the feature vector of each motion matrix, and SVM(Support Vector Machine) is utilized to do the training and classification of the first level of motion(sub-motion). In motion recognition process, the sequence of recognized candidate sub-motions is analyzed by HMM (Hidden Markov Model) to gain certain robustness, then we recognize the second level of motions by pattern matching in this sequence. Finally a grammar-based motion synthesization is applied using motions as semantic terms to recognize the third level of motions. Experimental results show that the proposed method has high performance in sensitivity, accuracy, specialty and efficiency.
A remark on the injectivity of the specialization homomorphism

Let E : y = (x− e1)(x− e2)(x − e3), be a nonconstant elliptic curve over Q(T ). We give sufficient conditions for a specialization homomorphism to be injective, based on the unique factorization in Z[T ] and Z. The result is applied for calculating exactly the Mordell-Weil group of several elliptic curves over Q(T ) coming from a paper by Rubin and Silverberg.
Deciding what is possible and impossible following hippocampal damage in humans

There is currently much debate about whether the precise role of the hippocampus in scene processing is predominantly constructive, perceptual, or mnemonic. Here, we developed a novel experimental paradigm designed to control for general perceptual and mnemonic demands, thus enabling us to specifically vary the requirement for constructive processing. We tested the ability of patients with selective bilateral hippocampal damage and matched control participants to detect either semantic (e.g., an elephant with butterflies for ears) or constructive (e.g., an endless staircase) violations in realistic images of scenes. Thus, scenes could be semantically or constructively ‘possible’ or ‘impossible’. Importantly, general perceptual and memory requirements were similar for both types of scene. We found that the patients performed comparably to control participants when deciding whether scenes were semantically possible or impossible, but were selectively impaired at judging if scenes were constructively possible or impossible. Post‐task debriefing indicated that control participants constructed flexible mental representations of the scenes in order to make constructive judgements, whereas the patients were more constrained and typically focused on specific fragments of the scenes, with little indication of having constructed internal scene models. These results suggest that one contribution the hippocampus makes to scene processing is to construct internal representations of spatially coherent scenes, which may be vital for modelling the world during both perception and memory recall. © 2016 The Authors. Hippocampus Published by Wiley Periodicals, Inc.
Convolutional Codes for Variable Rate, Unequal Error Protection, and Packet Data Services

|A exible and low-complexity variable rate coding scheme based on rate-compatible convolutional codes is presented. The codes have a wide range of code rates and are optimized for good performance on both AWGN and Rayleigh fading channels. Furthermore, the application of these codes for rate matching, combined coding and spreading in a DS-CDMA system and hybrid type-II ARQ schemes are demonstrated. Very long constraint length convolutional codes with sequential decoding is proposed and shown to be a coding scheme suitable for high performance services in wireless systems.
Macronutrient intakes and serum oestrogen, and interaction with polymorphisms in CYP19A1 and HSD17B1 genes: a cross-sectional study in postmenopausal Japanese women

Abstract Although higher circulating levels of oestrogen are related to postmenopausal breast cancer risk, limited information is available regarding effects of diet on endogenous oestrogen. Thus, we examined associations between macronutrient intakes and serum oestrogen with consideration of polymorphisms in oestrogen-metabolising genes. In this cross-sectional study, 784 naturally menopaused Japanese women aged 47–69 years were selected from participants of the Japan Multi-Institutional Collaborative Cohort Study. We documented dietary intakes, measured serum concentrations of oestrone (E1) and oestradiol (E2) and genotyped polymorphisms in oestrogen-metabolising CYP19A1 (rs4441215 and rs936306) and HSD17B1 (rs605059) genes. Trends and interactions were examined using linear regression models. In addition, we calculated the ratios of the oestrogen concentrations of the second to the highest quartiles (Q2–Q4) of dietary intake to those of the lowest quartiles (Q1). After adjustment for potential confounders, E2 was significantly associated with intake of carbohydrate and noodles; ratios of Q4 v. Q1 were 1·15 (95 % CI 1·04, 1·28) and 1·15 (95 % CI 1·04, 1·26), respectively. In contrast, E2 levels were inversely associated with intake of total energy, SFA and n-3 highly unsaturated fatty acids (n-3 HUFA); ratios of Q4 v. Q1 were 0·90 (95 % CI 0·82, 0·99), 0·89 (95 % CI 0·81, 0·98) and 0·91 (95 % CI 0·83, 1·00), respectively. In stratified analysis by polymorphisms, the rs605059 genotype of HSD17B1 significantly modified associations of E2 with intake of n-3 HUFA and fish; the associations were limited to those with the CC genotype. Macronutrient intakes were associated with serum E2 level, and these associations may be modified by HSD17B1 polymorphism in postmenopausal women.