Miracle-dz/UniFAR-FTUs huggingface dataset:
Strength and physiological response to exercise in patients with chronic fatigue syndrome

OBJECTIVE To measure strength, aerobic exercise capacity and efficiency, and functional incapacity in patients with chronic fatigue syndrome (CFS) who do not have a current psychiatric disorder. METHODS Sixty six patients with CFS without a current psychiatric disorder, 30 healthy but sedentary controls, and 15 patients with a current major depressive disorder were recruited into the study. Exercise capacity and efficiency were assessed by monitoring peak and submaximal oxygen uptake, heart rate, blood lactate, duration of exercise, and perceived exertion during a treadmill walking test. Strength was measured using twitch interpolated voluntary isometric quadriceps contractions. Symptomatic measures included physical and mental fatigue, mood, sleep, somatic amplification, and functional incapacity. RESULTS Compared with sedentary controls, patients with CFS were physically weaker, had a significantly reduced exercise capacity, and perceived greater effort during exercise, but were equally unfit. Compared with depressed controls, patients with CFS had significantly higher submaximal oxygen uptakes during exercise, were weaker, and perceived greater physical fatigue and incapacity. Multiple regression models suggested that exercise incapacity in CFS was related to quadriceps muscle weakness, increased cardiovascular response to exercise, and body mass index. The best model of the increased exercise capacity found after graded exercise therapy consisted of a reduction in submaximal heart rate response to exercise. CONCLUSIONS Patients with CFS were weaker than sedentary and depressed controls and as unfit as sedentary controls. Low exercise capacity in patients with CFS was related to quadriceps muscle weakness, low physical fitness, and a high body mass ratio. Improved physical fitness after treatment was associated with increased exercise capacity. These data imply that physical deconditioning helps to maintain physical disability in CFS and that a treatment designed to reverse deconditioning helps to improve physical function.
Real-time information processing of environmental sensor network data using bayesian gaussian processes

In this article, we consider the problem faced by a sensor network operator who must infer, in real time, the value of some environmental parameter that is being monitored at discrete points in space and time by a sensor network. We describe a powerful and generic approach built upon an efficient multi-output Gaussian process that facilitates this information acquisition and processing. Our algorithm allows effective inference even with minimal domain knowledge, and we further introduce a formulation of Bayesian Monte Carlo to permit the principled management of the hyperparameters introduced by our flexible models. We demonstrate how our methods can be applied in cases where the data is delayed, intermittently missing, censored, and/or correlated. We validate our approach using data collected from three networks of weather sensors and show that it yields better inference performance than both conventional independent Gaussian processes and the Kalman filter. Finally, we show that our formalism efficiently reuses previous computations by following an online update procedure as new data sequentially arrives, and that this results in a four-fold increase in computational speed in the largest cases considered.
The Impact of Built Environment on Diabetic Patients: The Case of Eastern Province, Kingdom of Saudi Arabia

At present, Diabetes mellitus is considered as one of the main threats to the human health in the 21st century. It may lead to severe conditions such as blindness, end-stage of renal disease, limb amputation and a variety of debilitating neuropathies. Previous researches indicated that diabetes is caused by a complex interaction of patient’s genetics, life-style and environmental factors. They also highlighted that providing quality and healthy built environment to citizens including diabetic patients would prevent poor and unhealthy condition. The Kingdom of Saudi Arabia (KSA) is one of top ten countries in the prevalence of diabetes. Little researches though were conducted in KSA in regards to the effect of environmental conditions of the built environment. In 2011, the present researchers have carried out a pilot survey on a number of diabetic patients to find out the possible impact of built environment settings on the patient’s lifestyle. The research explored whether diabetic patients use smart tools in their daily life to overcome the daily life’s difficulties and perform their life as normal as possible. The results showed a close link between a poor home and environmental settings, the patient’s lifestyle, and the patient’s health status. It also highlighted the absence of smart tools and systems use. The paper argues that certain changes to the built environment must be done and to provide a healthy and safe environment for diabetic patients. This would help these patients to abandon their bad habits and adopt healthier lifestyle.
A Comparative Study of English Speaking Skill between Male and Female Students’ on the First Grade Students of State Junior High School 5 Purworejo in the Academic Year 2011/ 2012

English is a compulsory subject in Indonesia which had been taught formally to Indonesian students since they were in Junior High School. In learning English, the students emphasize to master the four language skills well, namely listening, speaking, reading, and writing. In junior high school, speaking is commonly a difficult activity for many students. English speaking skill has its own components. They are grammar, vocabulary, pronunciation, and fluency. The objective of the study are to find out the differences study of English speaking skill between male and female students and to interpret the differences of English speaking skill between male and female students especially on the First Grade Students of SMP N 5 Purworejo. This research is presented in quantitative method. In collecting data, the writer did some steps. They are preparing the research instrument, giving the test to the students, and analyzing the result of the students’ score. This research carried out on 14 th July 2012 and 17 th July 2012. To analyze the result of interview test, the writer gets the result of the differences study of English speaking skill between male and female students’ on the First Grade Students of SMP N 5 Purworejo. The researcher is able to concludes that the percentage total score on first grade students of SMP N 5 Purworejo is 69,23% so the frequency indicates that the skill is average. The percentage of total score of female students’ (74.03) is higher than the percentage of total score of male students’ (64.42). So, the percentage of female students are higher than male and there is significance difference between the result of English speaking skill between male and female on the first grade students of SMP N 5 Purworejo. Keywords: a comparative study, speaking skill, male, and female
Multilocus LD measure and tagging SNP selection with generalized mutual information

Linkage disequilibrium (LD) plays a central role in fine mapping of disease genes and, more recently, in characterizing haplotype blocks. Classical LD measures, such as D′ and r2, are frequently used to quantify relationship between two loci. A pairwise “distance” matrix among a set of loci can be constructed using such a measure, and based upon which a number of haplotype block detection and tagging single nucleotide polymorphism (SNP) selection algorithms have been devised. Although successful in many applications, the pairwise nature of these measures does not provide a direct characterization of joint linkage disequilibrium among multiple loci. Consequently, applications based on them may lead to loss of important information. In this report, we propose a multilocus LD measure based on generalized mutual information, which is also known as relative entropy or Kullback‐Leibler distance. In essence, this measure seeks to quantify the distance between the observed haplotype distribution and the expected distribution assuming linkage equilibrium. We can show that this measure is approximately equal to r2 in the special case with two loci. Based on this multilocus LD measure and an entropy measure that characterizes haplotype diversity, we propose a class of stepwise tagging SNP selection algorithms. This represents a unified approach for SNP selection in that it takes into account both the haplotype diversity and linkage disequilibrium objectives. Applications to both simulated and real data demonstrate the utility of the proposed methods for handling a large number of SNPs. The results indicate that multilocus LD patterns can be captured well, and informative and nonredundant SNPs can be selected effectively from a large set of loci. Genet. Epidemiol. 2005. © 2005 Wiley‐Liss, Inc.
VALUING MONEY MORE THAN PEOPLE: THE EFFECTS OF MATERIALISM ON WORK-FAMILY CONFLICT.

The article discusses the phenomenon of work-family conflict, focusing on materialism as a causative factor. It is noted that conflict between work and family is often associated with stress and absenteeism. Materialism is characterized as a viewpoint which places great emphasis on the value of possessions and money. As a personal trait, it has been linked to ill-health, dissatisfaction and unhappiness. An analysis is presented of the ways in which materialistic attitudes may contribute significantly to work-family conflict.
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions

A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is available, the estimation problem can be solved by using the maximum a posteriori (MAP) principle. In this paper, we develop an EM algorithm for the MAP estimate of signals modeled by a family of heavy-tail prior distributions: Laplacian, student-t and slash. We establish links between the EM algorithm and the Wiener estimation. We then modify the EM algorithm and propose two generalized Wiener estimation algorithms for image denoising. Experimental results show that the performance of the proposed algorithms is better than that of the bi-shrinkage algorithm which is arguably one of the best in recent publications.
Institute of Physics Publishing Journal of Micromechanics and Microengineering Temperature Stabilization of Cmos Capacitive Accelerometers

CMOS micromachining technology allows the integration of micromachined structures defined by the fine-line geometry of the CMOS interconnect with circuits on the same chip. The mechanical structure is composed of the metal and oxide layers of the CMOS interconnect. One important consideration in design is the control of residual stress difference in the various layers that produce internal bending moments that cause structures to curl in and out of the substrate plane. A temperature stabilization scheme utilizing integrated polysilicon heaters embedded within the micromachined sensor structure to maintain the sensor at a constant temperature has been described. The temperature is maintained higher than the maximum operating temperature of the device. The heated structure is thermally isolated from the substrate to minimize power. This technique has been demonstrated on an out-of-plane accelerometer with a non-linear temperature coefficient of sensitivity. The dc bias stability of the accelerometer improved from 1.7 G • C −1 , to 42 mG • C −1 , and the sensitivity variation reduced from 60% to 18% of the nominal value over a temperature range of 70 • C after temperature control.
A New Push-Relabel Algorithm for the Maximum Flow Problem

In this paper, we present a faster push-relabel algorithm for the maximum flow problem on bounded-degree networks with n vertices and m arcs. We show how to compute a maximum flow in O(mn) time. This matches the results of Orlin’s algorithm, which runs in O(mn + m log n) time on general networks (and O(mn) time on bounded-degree networks). Our main result is improving on the generic push-relabel algorithm (Goldberg & Tarjan, 1988) by reducing the number of nonsaturating pushes to O(mn) across all scaling phases. This improvement is reached by a novel combination of Ahuja and Orlin’s excess scaling method and Orlin’s compact flow networks (STOC ‘13). A major contribution of this paper is demonstrating that the compact networks technique can be extended to the push-relabel family of algorithms. Moreover, we show that an extension of our result to general networks would imply an algorithm that runs in O(mn) time, when m = O(n2−ε). An algorithm incorporating some or all of our techniques may be a promising avenue towards an O(mn)-time algorithm for all edge densities.
Relationship of Genetic Polymorphisms of Aldosterone Synthase Gene Cytochrome P450 11B2 and Mineralocorticoid Receptors with Coronary Artery Disease in Taiwan

The aldosterone synthase gene, cytochrome P450 11B2 (CYP11B2), and mineralocorticoid receptor (MR) genes have been reported to be associated with coronary artery disease (CAD). In this study, we investigated the association of single nucleotide polymorphisms (SNPs) of CYP11B2 (CYP11B2 T-344C) and MR (MR C3514G and MR C4582A) with CAD in Taiwanese. Six hundred and nine unrelated male and female subjects who received elective coronary angiography were recruited from Chung Shan Medical University Hospital. The enrolled subjects were those who had a positive noninvasive test. CYP11B2 T-344C, MR C3514G and MR C4582A were determined by polymerase chain reaction-restriction fragment length polymorphism. We found that women with CYP11B2 C/C had a higher risk of developing CAD. However, there were no significant differences in the genotype distributions of MR C3514G and MR C4582A between the women with and without CAD. In multivariate analysis, CYP11B2 T-344C was most significantly associated with CAD in Taiwanese women. In conclusions, CYP11B2 C/C was more significantly associated with the development of CAD than diabetes mellitus or hypertension. This implies that CYP11B2 C/C plays a more important role than some conventional risk factors in the development of CAD in Taiwanese women.
Data point selection for cross-language adaptation of dependency parsers

We consider a very simple, yet effective, approach to cross language adaptation of dependency parsers. We first remove lexical items from the treebanks and map part-of-speech tags into a common tagset. We then train a language model on tag sequences in otherwise unlabeled target data and rank labeled source data by perplexity per word of tag sequences from less similar to most similar to the target. We then train our target language parser on the most similar data points in the source labeled data. The strategy achieves much better results than a non-adapted baseline and state-of-the-art unsupervised dependency parsing, and results are comparable to more complex projection-based cross language adaptation algorithms.
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules

Most of the algorithms for mining quantitative association rules focus on positive dependencies without paying particular attention to negative dependencies. The latter may be worth taking into account, however, as they relate the presence of certain items to the absence of others. The algorithms used to extract such rules usually consider only one evaluation criterion in measuring the quality of generated rules. Recently, some researchers have framed the process of extracting association rules as a multiobjective problem, allowing us to jointly optimize several measures that can present different degrees of trade-off depending on the dataset used. In this paper, we propose MOPNAR, a new multiobjective evolutionary algorithm, in order to mine a reduced set of positive and negative quantitative association rules with low computational cost. To accomplish this, our proposal extends a recent multiobjective evolutionary algorithm based on decomposition to perform an evolutionary learning of the intervals of the attributes and a condition selection for each rule, while introducing an external population and a restarting process to store all the nondominated rules found and to improve the diversity of the rule set obtained. Moreover, this proposal maximizes three objectives-comprehensibility, interestingness, and performance-in order to obtain rules that are interesting, easy to understand, and provide good coverage of the dataset. The effectiveness of the proposed approach is validated over several real-world datasets.
Please Scroll down for Article Ergonomics Spine Loading at Different Lumbar Levels during Pushing and Pulling Spine Loading at Different Lumbar Levels during Pushing and Pulling

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. As the nature of many materials handling tasks have begun to change from lifting to pushing and pulling, it is important that one understands the biomechanical nature of the risk to which the lumbar spine is exposed. Most previous assessments of push–pull tasks have employed models that may not be sensitive enough to consider the effects of the antagonistic cocontraction occurring during complex pushing and pulling motions in understanding the risk to the spine and the few that have considered the impact of cocontraction only consider spine load at one lumbar level. This study used an electromyography-assisted biomechanical model sensitive to complex motions to assess spine loadings throughout the lumbar spine as 10 males and 10 females pushed and pulled loads at three different handle heights and of three different load magnitudes. Pulling induced greater spine compressive loads than pushing, whereas the reverse was true for shear loads at the different lumbar levels. The results indicate that, under these conditions, anterior–posterior (A/P) shear loads were of sufficient magnitude to be of concern especially at the upper lumbar levels. Pushing and pulling loads equivalent to 20% of body weight appeared to be the limit of acceptable exertions, while pulling at low and medium handle heights (50% and 65% of stature) minimised A/P shear. These findings provide insight to the nature of spine loads and their potential risk to the low back during modern exertions. 1. Introduction As the risk of low back pain associated with lifting and carrying has been recognised, many occupational tasks have been converted into pushing or pulling activities and, thus, increasingly expose workers to horizontal applications of force. In addition, as the nature of work changes, pushing and pulling has become more …
Propositional vs. Practical Knowledge: Exploring the Metaphors and Images of Pre-service Teachers

Abstract This paper examines how pre-service teachers deal with the commonly reported theory–practice divide during their early teaching experiences by focusing on key elements of their practical theories. The findings come from a mainly qualitative case study of three pre-service teachers in their final year of university study. Participants had their practical theories elucidated through an interview process, as well as several profiling instruments. Views of how participants coped with the theory–practice divide were narrowed to two areas: behaviour management and pedagogy. Multiple data sources were triangulated and relationships developed on an a posteriori basis. The findings are presented as case studies of each of the three participants. Participants’ schooling experiences, educational philosophy and personality type were found to be significant in influencing perceptions of the usefulness of educational theory. A filtration system model was developed where theory flows to practice through four main filters, with the amount of material progressing determining the size of the theory–practice divide. The major finding was that it was not so much the nature of this divide that was a hindrance to the development of pre-service teachers but the constraints of teacher-centred pedagogy imposed by supervising teachers that prevented the pre-service teachers from experimenting and developing their own practical theories.
Sp1-driven up-regulation of miR-19a decreases RHOB and promotes pancreatic cancer

Cancer treatment alters microRNA (miRNA) expression, revealing potential therapeutic targets (oncotarget). Here we treated pancreatic cancer (ASPC-1) cells with either recombinant human endostatin (rh-endostatin) or gemcitabine. Then high-throughput sequencing assay was performed to screen for altered miRNAs. Both treatments decreased levels of MiR-19a. We found that miR-19a stimulated cell proliferation, migration, invasion in vitro and tumor growth in vivo. High levels of miR-19a correlated with poor prognosis in patients. Ras homolog family member B (RHOB) was identified as a direct target of miR-19a. Furthermore, RHOB was down-regulated in human pancreatic cancer samples. Restoration of RHOB induced apoptosis, inhibited proliferation and migration of ASPC-1 cells. SP-1 was identified as an upstream transcription factor of miR-19a gene, promoting miR-19a transcription. Rh-endostatin decreased miR-19a expression by down-regulating SP-1. These findings suggest that miR-19a is a potential therapeutic target in pancreatic cancer.
Musical Savants: Exceptional Skill in the Mentally Retarded

Contents: Musical Savants of the Past. Evaluating Savant Skill. Absolute Pitch. Pitch Identification. Chord Analysis. Short Term Memory. Chords. Melodies. Rhythms. Musical Idioms. Conventional Diatonic Music. Unconventional Musical Forms 8 Long Term Memory. Correlates and Consequences of Savant Skill. On the Nature and Origin of Musical Savants. Epilogue. N. Newman, Appendices: A Music Teacher's Perspective on Savant Skill. Record of Participation. Note Duration Value and Rythms Task.
Appetitive and Aversive Visual Learning in Freely Moving Drosophila

To compare appetitive and aversive visual memories of the fruit fly Drosophila melanogaster, we developed a new paradigm for classical conditioning. Adult flies are trained en masse to differentially associate one of two visual conditioned stimuli (CS) (blue and green light as CS) with an appetitive or aversive chemical substance (unconditioned stimulus or US). In a test phase, flies are given a choice between the paired and the unpaired visual stimuli. Associative memory is measured based on altered visual preference in the test. If a group of flies has, for example, received a sugar reward with green light in the training, they show a significantly higher preference for the green stimulus during the test than another group of flies having received the same reward with blue light. We demonstrate critical parameters for the formation of visual appetitive memory, such as training repetition, order of reinforcement, starvation, and individual conditioning. Furthermore, we show that formic acid can act as an aversive chemical reinforcer, yielding weak, yet significant, aversive memory. These results provide a basis for future investigations into the cellular and molecular mechanisms underlying visual memory and perception in Drosophila.