Miracle-dz/UniFAR-FTUs huggingface dataset:
Musikerdystonien: Phänomenologie, Ursachen, Differenzialdiagnosen und Behandlungsmöglichkeiten

ge-störte Inhibition und sensomotorische Integration, möglicherweise auf dem Boden einer genetischen Veranlagung vor. Als „dynamisches Stereotyp“ wird eine zunächst vorüber-gehende Verschlechterung der Feinmotorik bezeichnet, die häufig durch psychologische Stressoren oder Müdigkeit ausgelöst wird und als Vorform der Dystonie betrachtet werden kann. Die Behandlung der motorischen Störungen bei Musikern umfassen ergonomische Anpassungen, Anticholinergika, Retraining, und lokale Injektionen mit Botulinumtoxin. Präven-tionsstrategien in der Ausbildung junger Berufsmusiker sollten auf ein gesundes Arbeits-verhalten, Selbstmanagement, und psycholo-gisch unterstützenden Unterricht ausgerich-tet sein.
Erim Report Series Research in Management What's New about the New Economy? Sources of Growth in the Managed and Entrepreneurial Economies Bibliographic Data and Classifications

The purpose of this paper is to document the fundamental shift that is taking place in OECD countries. This shift is from the managed economy to the entrepreneurial economy. While politicians and policy makers have made a plea for guidance in the era of entrepreneurship, scholars have been slow to respond. This paper attempts to make a first step identifying and articulating these differences. We do this by contrasting the most fundamental elements of the newly emerging entrepreneurial economy with those of the managed economy. We identify fourteen trade-offs confronting these two polar worlds. The common thread throughout these trade-offs is the increased role of new and small enterprises in the entrepreneurial economy. A particular emphasis is placed on changes in economic policy demanded by the entrepreneurial economy vis-à-vis the managed economy. 5001-6182 Business 5546-5548.6 Office Organization and Management
A case for associative peer to peer overlays

The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (ability to find infrequent items) and support for partial-match queries (queries that contain typos or include a subset of keywords). While centralized-index architectures (such as Napster) can support both these features, existing decentralized architectures seem to support at most one: prevailing protocols (such as Gnutella and FastTrack) support partial-match queries, but since search is unrelated to the query, they have limited scope. Distributed Hash Tables (such as CAN and CHORD) constitute another class of P2P architectures promoted by the research community. DHTs couple index location with the item's hash value and are able to provide scope but can not effectively support partial-match queries; another hurdle in DHT deployment is their tight control the overlay structure and data placement which makes them more sensitive to failures.Associative overlays are a new class of decentralized P2P architectures. They are designed as a collection of unstructured P2P networks (based on popular architectures such as gnutella or FastTrack), and the design retains many of their appealing properties including support for partial match queries, and relative resilience to peer failures. Yet, the search process is orders of magnitude more effective in locating rare items. Our design exploits associations inherent in human selections to steer the search process to peers that are more likely to have an answer to the query.
Latency Analysis for Distributed Coded Storage Systems

Modern communication and computation systems often consist of large networks of unreliable nodes. Still, it is well known that such systems can provide aggregate reliability via redundancy. While duplication may increase the load on a system, it can lead to significant performance improvement when combined with the judicious management of extra system resources. Prime examples of this abstract paradigm include multi-path routing across communication networks, content access from multiple caches in delivery networks, and master/slave computations on compute clusters. Several recent contributions in the area establish bounds on the performance of redundant systems, characterizing the latency-redundancy tradeoff under specific load profiles. Following a similar line of research, this paper introduces new analytical bounds and approximation techniques for the latency-redundancy tradeoff for a range of system loads and a class of symmetric redundancy schemes, under the assumption of Poisson arrivals, exponential service-rates, and fork-join scheduling policy. The proposed approach can be employed to efficiently approximate the latency distribution of a queueing system at equilibrium. Various metrics can subsequently be derived for this system, including the mean and variance of the sojourn time, and the tail decay rate of the stationary distribution. This paper also establishes the stability region in terms of arrival rates for redundant systems with certain symmetries. Finally, it offers selection guidelines for design parameters to provide latency guarantees based on the proposed approximations. Findings are substantiated by numerical results.
Phubbing en las Relaciones Románticas: Uso del Celular, Satisfacción en la Pareja, Bienestar Psicológico y Salud Mental

The purpose of this study was to evaluate if frequent cell phone use (phubbing) has a direct impact in the couple’s satisfaction, and an indirect effect on the psychological well-being and mental health of Puerto Rican. Study 1 examines the psychometric properties of the Partner Phubbing Scale and the Cell Phone Conflict Scale. The scales were found to be highly reliable and valid. Study 2 assessed the study’s proposed relationships among a non-probabilistic sample of 392 Puerto Ricans, selected by availability. The results showed a significant mediation of couple’s satisfaction in the relationship between phubbing, psychological well-being and mental health. Overall, participants who rated more phubbing in their relationships also reported lower couple’s satisfaction, more symptoms related to depression, anxiety and stress, and lower psychological well-being. Our study provides empirical evidence on the negative effect of excessive use of cell phones within romantic relationships, as well on people’s mental health.
Does Physical Fitness Buffer the Relationship between Psychosocial Stress, Retinal Vessel Diameters, and Blood Pressure among Primary Schoolchildren?

Background. Strong evidence exists showing that psychosocial stress plays an important part in the development of cardiovascular diseases. Because physical inactivity is associated with less favourable retinal vessel diameter and blood pressure profiles, this study explores whether physical fitness is able to buffer the negative effects of psychosocial stress on retinal vessel diameters and blood pressure in young children. Methods. 325 primary schoolchildren (51% girls, Mage = 7.28 years) took part in this cross-sectional research project. Retinal arteriolar diameters, retinal venular diameters, arteriolar to venular ratio, and systolic and diastolic blood pressure were assessed in all children. Interactions terms between physical fitness (performance in the 20 m shuttle run test) and four indicators of psychosocial stress (parental reports of critical life events, family, peer and school stress) were tested in a series of hierarchical regression analyses. Results. Critical life events and family, peer, and school-related stress were only weakly associated with retinal vessel diameters and blood pressure. No support was found for a stress-buffering effect of physical fitness. Conclusion. More research is needed with different age groups to find out if and from what age physical fitness can protect against arteriolar vessel narrowing and the occurrence of other cardiovascular disease risk factors.
Multiple-Scale Systems Modeling: Three Cases Represented by a Computerized Platform

This paper presents some results of a platform for the modeling and visualization of complex systems. The platform has the capacity to represent different aspects of complex models at different observation scales simultaneously. This tool offers advantages in the sense of favoring the perception of the phenomenon of the emergence of information, associated with changes of scale. Some criteria used for the construction of this modeling platform, as well as some data abstraction tools designed for this purpose are included. One of the techniques that has recently emerged for the analysis of complex systems is based on graphical representation. The ability of current computers has made viable the use of graphic resources such as shapes, colors and transparencies for the graphic modeling of systems made up of many elements. By visualizing diagrams, conveniently designed to highlight contrasts, these modeling platforms allow the recognition of patterns that drive our understanding of systems and their structure. Graphs that reflect the benefits of the tool in the visualization of systems at different scales of observation are presented to illustrate the application of the system.
UDC 681

Purpose. The article deals with the technological object of the beet processing department of the sugar factory. The mathematical models aimed to further increase the facility efficiency by using the effective algorithms have been developed. Methods. Existing research and mathematical models have been analyzed; their shortcomings as variables dependences and perturbations, which were not adequately addressed or implemented in previous works, have been highlighted. Scientific novelty. Serial presentation of the subsystems of the beet processing department in the differential equations is presented in the article. A mathematical model for the processing of beet pulp has been developed, which takes into account the dependence of the raw material consumption, the network current load and transport units. The mathematical presentation of the technological complex of washing, beet processing and transportation is overviewed. The descriptive analysis of the time series of the beet processing department and statistical processing for the development of intelligent control systems are used. The practical significance of the results allows authors to use the outputs aimed to develop identification systems for these technological processes. They can also be used for analysis based on the time series methodology and mathematical modeling, thus, as models to form real technological complexes. In addition, they can be offered as educational material for students in the course of mathematical analysis of sugar mills. Research outcomes can be used when identifying a technological object of beet processing department; when developing mathematical models of subsystems for studying the characteristics of technological processes, synthesis of systems for forecasting and management of beet processing department. Moreover, they can be introduced with new science methodologies like Bayesian nets, Neural Networks, Statistical Analysis, Deep Learning etc.
Ochratoxin A: The Continuing Enigma

Abstract The mycotoxin ochratoxin A (OTA) has been linked to the genesis of several disease states in both animals and humans. It has been described as nephrotoxic, carcinogenic, teratogenic, immunotoxic, and hepatotoxic in laboratory and domestic animals, as well as being thought to be the probable causal agent in the development of nephropathies (Balkan Endemic Nephropathy, BEN and Chronic Interstitial Nephropathy, CIN) and urothelial tumors in humans. As a result, several international agencies are currently attempting to define safe legal limits for OTA concentration in foodstuffs (e.g., grain, meat, wine, and coffee), in processed foods, and in animal fodder. In order to achieve this goal, an accurate risk assessment of OTA toxicity including mechanistic and epidemiological studies must be carried out. Ochratoxin has been suggested by various researchers to mediate its toxic effects via induction of apoptosis, disruption of mitochondrial respiration and/or the cytoskeleton, or, indeed, via the generation of DNA adducts. Thus, it is still unclear if the predominant mechanism is of a genotoxic or an epigenetic nature. One aspect that is clear, however, is that the toxicity of OTA is subject to and characterized by large species- and sex-specific differences, as well as an apparently strict structure–activity relationship. These considerations could be crucial in the investigation of OTA-mediated toxicity. Furthermore, the use of appropriate in vivo and in vitro model systems appears to be vital in the generation of relevant experimental data. The intention of this review is to collate and discuss the currently available data on OTA-mediated toxicity with particular focus on their relevance for the in vivo situation, and also to suggest possible future strategies for unlocking the secrets of ochratoxin A.
Node Aggregation in Vehicle Routing

We describe a special variant of the Vehicle Routing Problem (VRP), where there are many customers per road segment. A metaheuristic tabu search algorithm for the VRP is given, and aggregation of customers is used to better the performance, with respect to both time and solution quality. The methods are tested on test instances from the literature as well as a portfolio of new test instances especially made to fit to the problem description. Test results are reported, showing that aggregation can lead to substantial improvements both in time and solution quality in this setting, especially for larger instances
Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments

In current healthcare environments, a trend toward mobile and personalized interactions between people and nurse call systems is strongly noticeable. Therefore, it should be possible to locate patients at all times and in all places throughout the care facility. This paper aims at describing a method by which a mobile node can locate itself indoors, based on signal strength measurements and a minimal amount of yes/no decisions. The algorithm has been developed specifically for use in a healthcare environment. With extensive testing and statistical support, we prove that our algorithm can be used in a healthcare setting with an envisioned level of localization accuracy up to room revel (or region level in a corridor), while avoiding heavy investments since the hardware of an existing nurse call network can be reused. The approach opted for leads to very high scalability, since thousands of mobile nodes can locate themselves. Network timing issues and localization update delays are avoided, which ensures that a patient can receive the needed care in a time and resources efficient way.
VANBA: A Simple Handover Mechanism for Transparent, Always-On V2V Communications

This paper presents VANBA, a simple, ready-to-use mechanism to perform vertical handovers in vehicular networks that integrates the essential functionalities of the Always Best Connected (ABC) paradigm in a transparent way both to the user and the upper-layer applications even in terminals with limited processing capabilities. This mechanism operates at the network layer and achieves quasi-continuous communication during the handover process by monitoring the reachability of the destination node. A basic handover scenario using VANBA has been implemented at Telefonica I+D's labs on Linux-based carPC and laptops enabled with WiFi and 3G as communication media. This scenario, which emulates an in-car dual-network terminal that uses 3G as backup communications for WiFi, is used to compare the main features of VANBA with respect to other handover solutions being proposed in emerging standards.
Comparison of St John's wort and imipramine for treating depression: randomised controlled trial

Abstract Objectives: To compare the efficacy and tolerability of Hypericum perforatum (St John's wort extract) with imipramine in patients with mild to moderate depression. Design: Randomised, multicentre, double blind, parallel group trial. Setting: 40 outpatient clinics in Germany. Participants: 324 outpatients with mild to moderate depression. Intervention: 75 mg imipramine twice daily or 250 mg hypericum extract ZE 117 twice daily for 6 weeks. Main outcome measures: Hamilton depression rating scale, clinical global impression scale, and patient's global impression scale. Results: Among the 157 participants taking hypericum mean scores on the Hamilton depression scale decreased from 22.4 at baseline to 12.00 at end point; among the 167 participants taking imipramine they fell from 22.1 to 12.75. Mean clinical global impression scores at end point were 2.22 out of 7 for the hypericum group and 2.42 for the imipramine group. On the 7 point self assessments of global improvement completed by participants (score of 1 indicating “very much improved” and 7 indicating “very much deteriorated”) mean scores were 2.44 in the hypericum group and 2.60 in the imipramine group. None of the differences between treatment groups were significant. However, the mean score on the anxiety-somatisation subscale of the Hamilton scale (3.79 in the hypericum group and 4.26 in the imipramine group) indicated a significant advantage for hypericum relative to imipramine. Mean scores on the 5 point scale used by participants to assess tolerability (score of 1 indicating excellent tolerability and 5 indicating very poor tolerability) were better for hypericum (1.67) than imipramine (2.35). Adverse events occurred in 62/157 (39%) participants taking hypericum and in 105/167 (63%) taking imipramine. 4 (3%) participants taking hypericum withdrew because of adverse events compared with 26 (16%) taking imipramine. Conclusions: This Hypericum perforatum extract is therapeutically equivalent to imipramine in treating mild to moderate depression, but patients tolerate hypericum better.
Blind minimax estimators: improving on least-squares estimation

We consider the linear regression problem of estimating an unknown, deterministic parameter vector based on measurements corrupted by colored Gaussian noise. We present and analyze estimators based on the blind minimax approach, a technique whereby a parameter set is estimated from measurements and then used to construct a minimax estimator. We demonstrate analytically that the obtained estimators strictly dominate the least-squares estimator (LSE), i.e. they achieve lower mean-squared error for any value of the parameter vector. Simulations show that these estimators outperform Bock's estimator, which also dominates the LSE
Data security and storage in cloud using hybrid algorithms

Cloud Computing has already grabbed its roots in many industries. It has become a fascinating choice for small budget organizations, as On-demand resources are available on pay as you use basis. However, security of data being stored at cloud servers is still a big question for organizations in today’s digital era where information is money. Large organizations are reluctant to switch to cloud services since they have threat of their data being manipulated. Cloud service provider’s claim of providing robust security mechanism being maintained by third party, but still there are many reported incidents of security breach in cloud environment in past few years. Thus, there is need for ro-bust security mechanism to be adopted by cloud service providers in order for excelling cloud computing. Since there are n number of data’s in cloud, Storage of those data are to be placed with high rank of Significance. In Existing system, no efficient hybrid algorithms are used there by security and storage is compromised to significant ratio. We propose AES and Fully Homomorphic algo-rithm to encrypt the data, thereby file size get is compressed thereby increasing Data security and stack pile.
Direct observation of pruning errors (DOPE): a search analysis tool

The search for the optimal word sequence can be performed efficiently even in a speech recognizer with a very large vocabulary and complex models. This is achieved using pruning methods with empirically chosen parameters and the willingness to accept a certain amount of pruning errors. Quite unsatisfying though, it is state-of-the-art that such pruning errors are not directly detected but, instead, indirect consequences of them, providing only a rough picture of what happens during search. With the tool Direct Observation of Pruning Errors (DOPE), described in this paper, pruning errors are detected on the state hypothesis level, which is a very fine level of granulation, several orders of magnitude finer than the sentence level. This allows much more exact analyses, including the analysis of pruning methods, or the effects of pruning parameters.
A comparative study of foreground detection using Gaussian mixture models-novice to novel

Foreground detection is the classical computer vision task of segmenting out motion information from a particular scene. Foreground detection using Gaussian Mixture Models (GMM) is the famous choice. Since first time proposed, many researchers tried to improve GMM. This paper focuses on the comparative evaluation of three most famous improvements in the algorithm. The improved methods are compared both qualitatively and quantitatively using standard datasets available online.
A educação de pares em contexto prisional: representações de reclusos acerca do seu potencial de capacitação e empoderamento

A educacao de pares e uma metodologia relevante na intervencao no contexto prisional. O objectivo do presente estudo e analisar as representacoes sobre as implicacoes desta metodologia na promocao do desenvolvimento pessoal e social de reclusos. Nesse sentido foram realizados 6 focus groups com 25 reclusos que beneficiaram da formacao de educadores de pares implementada no âmbito do projecto Inclus@ no Estabelecimento Prisional da Guarda. Na analise emergiram 4 categorias: valorizacao do sentido de competencia pessoal; reforco de competencias sociais; aumento da capacidade de participacao no espaco publico e empoderamento do individuo. Os resultados serao discutidos problematizando o papel que a educacao de pares pode ter no contexto prisional.
Rio2p, an Evolutionarily Conserved, Low Abundant Protein Kinase Essential for Processing of 20 S Pre-rRNA in Saccharomyces cerevisiae*

Saccharomyces cerevisiae Rio2p (encoded by open reading frame Ynl207w) is an essential protein of unknown function that displays significant sequence similarity to Rio1p/Rrp10p. The latter was recently shown to be an evolutionarily conserved, predominantly cytoplasmic serine/threonine kinase whose presence is required for the final cleavage at site D that converts 20 S pre-rRNA into mature 18 S rRNA. A data base search identified homologs of Rio2p in a wide variety of eukaryotes and Archaea. Detailed sequence comparison and in vitro kinase assays using recombinant protein demonstrated that Rio2p defines a subfamily of protein kinases related to, but both structurally and functionally distinct from, the one defined by Rio1p. Failure to deplete Rio2p in cells containing a GAL-rio2 gene and direct analysis of Rio2p levels by Western blotting indicated the protein to be low abundant. Using a GAL-rio2 gene carrying a point mutation that reduces the kinase activity, we found that depletion of this mutant protein blocked production of 18 S rRNA due to inhibition of the cleavage of cytoplasmic 20 S pre-rRNA at site D. Production of the large subunit rRNAs was not affected. Thus, Rio2p is the second protein kinase that is essential for cleavage at site D and the first in which the processing defect can be linked to its enzymatic activity. Contrary to Rio1p/Rrp10p, however, Rio2p appears to be localized predominantly in the nucleus.