Miracle-dz/UniFAR-FTUs huggingface dataset:
School-Related Health—A Cross-Sectional Study among Young Boys and Girls

The authors analyze the association between psychosocial factors in the school environment and pupils' health and self-worth in a sample of 538 pupils (264 girls and 274 boys) in the third and the sixth grades. High control in combination with low demand at school was associated with the best health status in relation to somatic problems, stress, tiredness, and feelings of self-worth. In a multiple regression analysis, problems in relations with classmates were the most recurrent psychosocial factor associated with ill-health. Some gender differences were found in school-related health. Lack of control at school affected self-worth among girls only. In the third grade and among boys in the sixth grade, high demands were an explanatory factor for the health outcome. Foreign background, divorced parents, high achievement, and low relational orientation, as well as disorderly and rowdy classes, were also of importance for somatic ill-health and stress among girls. Older girls became more relationally oriented, while boys became more achievement-oriented. The authors conclude that the pupils' somatic health and self-worth were affected by psychosocial factors at school, even when adjustment was made for social background.
Optimal charging strategies for unidirectional vehicle-to-grid using fuzzy uncertainties

Vehicle-to-grid (V2G) is a way to effectively integrate electric vehicles (EVs) with the power system network. Unidirectional V2G is especially attractive because it is easily implementable and requires little additional hardware. An EV can be effectively charged during its parking time, and can potentially generate revenues for the EV owner. It can also provide services to the electrical grid through an aggregated scheme. The aggregator combines the capacity of many EVs and bids them into electricity markets. In this paper, a novel charging scheme is proposed that optimizes the charging of EVs and the bidding of ancillary service in the electricity market, considering the different market uncertainties using fuzzy set theory. The electricity market parameters are forecasted using ARIMA models. Simulations performed on a hypothetical group of EVs in the ERCOT area show the benefits of the proposed scheme.
[Ultrasonographic estimation of the normal volume of the thyroid gland in pediatric populations].

INTRODUCTION The World Health Organization bases its reference standards for normal thyroid volume on values derived from measurements of European children. However, WHO recommends that normal values for each region be estimated separately, given the variability as a consequence of geographic, racial, and nutritional differences. OBJECTIVE A normal standard of thyroid volume was estimated for the pediatric population of Bogotá, Colombia. MATERIALS AND METHODS A cross-sectional study was carried-out in 591 children assessed at the Clínica Jorge Bejarano, Bogotá, Colombia, between January and August 2003. Children with maternal or personal history of thyroid disease and those with abnormal weight or height characteristics were excluded. Age, weight, and body surface index were recorded for each child. Thyroid volume was estimated by ultrasonography using the ellipse formula. RESULTS The mean estimated volume for each age group was as follows: 0.6 +/- 0.2 cm3 for neonates, 1.1 +/- 0.6 cubic centimeters for milk-fed babies, 2.2 +/- 1.3 cc for pre-school age children, 3.0 +/- 1.7 cc for school age children and 5.7 +/- 3.1 cc for adolescents. Thyroid volume increases with increasing body surface. A linear relationship between the natural logarithm of the thyroid volume and the square root of the body surface was found. CONCLUSIONS The normal thyroid volume for Bogotá children was smaller than the World Health Organization reference value. Values described in the current study are recommended for local use as the normal parameter.
Infinite Plaid Models for Infinite Bi-Clustering

We propose a probabilistic model for non-exhaustive and overlapping (NEO) bi-clustering. Our goal is to extract a few sub-matrices from the given data matrix, where entries of a sub-matrix are characterized by a specific distribution or parameters. Existing NEO biclustering methods typically require the number of sub-matrices to be extracted, which is essentially difficult to fix a priori. In this paper, we extend the plaid model, known as one of the best NEO bi-clustering algorithms, to allow infinite bi-clustering; NEO bi-clustering without specifying the number of sub-matrices. Our model can represent infinite sub-matrices formally. We develop a MCMC inference without the finite truncation, which potentially addresses all possible numbers of sub-matrices. Experiments quantitatively and qualitatively verify the usefulness of the proposed model. The results reveal that our model can offer more precise and in-depth analysis of sub-matrices.
Comparison of methods for rotavirus detection in water and results of a survey of Jerusalem wastewater

Methods for the detection of viable rotaviruses and rotavirus antigen in water were developed and compared. The methods included laboratory-developed enzyme-linked immunosorbent assays (ELISAs) with chromogenic and luminescent substrates, commercial Rotazyme and Enzygnost ELISAs, and an indirect immunofluorescent assay. Of the methods tested, the immunofluorescent assay and the Enzygnost ELISA were the most sensitive for the simian rotavirus SA-11. All of the methods were positive for human rotavirus from clinical specimens. Seeded SA-11 rotavirus was concentrated from water by absorption to and elution from Zeta Plus filters followed by organic flocculation. Interference with the assays by components of the wastewater concentrates was minimal for the ELISAs, although the undiluted organic flocs were cytotoxic for the immunofluorescent assay. A survey of Jerusalem wastewater was carried out over the course of 1 year, and samples were assayed for rotaviruses and enteroviruses. Although enteroviruses were found in almost all of the samples, all samples were negative for rotaviruses. The concentration of rotaviruses in the wastewater was thus below the detection limit of the method used.
Atypical antipsychotics in the treatment of delirium

The aim of this study was to review the efficacy and safety of atypical antipsychotics, comparing within class, placebo, or compared to another active treatment for delirium. A literature search was conducted using PubMed, EMBASE, and the Cochrane database (1 January 1990–5 November 2012). Selection criteria for review were prospective, controlled studies (comparison studies), using validated delirium rating scales as outcome measures. A total of six prospective, randomized controlled studies were included in the review. It was found that atypical antipsychotics are effective and safe in treating delirium, even though there seemed to be no difference between each agent. In particular, comparison studies with haloperidol showed that the efficacy of atypical antipsychotics was similar to that of low‐dose haloperidol. It was concluded that atypical antipsychotics appear to be effective and tolerable in the management of delirium, even though the evidence is limited.
Empathy Levels in First- and Third-Year Students in Health and Non-Health Disciplines

Objective. To compare empathy scores between health professions students (pharmacy and nursing) and non-health professions (law) students and between first- and third-year students. Methods. The Jefferson Scale of Physician Empathy-Student Version was completed by 282 students. Results. Nursing and pharmacy students had significantly more empathy than did law students. Third-year pharmacy students scored higher on empathy than did first-year pharmacy students, whereas the converse was true for nurses. There was no significant difference in empathy between first- and third-year law students. Across the study years, empathy increased among pharmacy students, decreased among nurses, and remained the same among law students. Women scored higher on empathy than did males. Conclusions. Empathy scores among university students vary depending on discipline and year of study.
Contributing to Discourse

For people to contribute to discourse, they must do more than utter the right sentence at the right time. The basic requirement is that they odd to their common ground in on orderly way. To do this, we argue, they try to establish for each utterance the mutual belief that the addressees hove understood what the speaker meant well enough for current purposes. This is accomplished by the collective actions of the current contributor and his or her partners, and these result in units of conversation called contributions. We present a model of contributions and show how it accounts for o variety of features of everyday conversations. People take part in conversation in order to plan, debate, discuss, gossip, and carry out other social processes. When they do take part, they could be said to contribute to the discourse. But how do they contribute? At first the answer seems obvious. A discourse is a sequence of utterances produced as the participants proceed turn by turn. All that participants have to do to contribute is utter the right sentence at the right time. They may make errors, but once they have corrected them, they are done. The other participants have merely to listen and understand. This is the view subscribed to in most discourse theories in psychology, linguistics, philosophy; and artificial intelligence. A closer look at actual conversations, however, suggests that they are much more than sequences of utterances produced turn by turn. They are highly coordinated activities in which the current speaker tries to make sure he or she is being attended to, heard, and understood by the other participants, and they in turn try to let the speaker know when he or she has succeeded. Contributing to a discourse, then, appears to require more than just uttering the right words at the right time. It seems to consist of collective acts performed by the participants working together. In this paper we describe a model of contributions as parts of collective acts. We first describe the need for such a model, next present the model
Curve and surface design using multiresolution constraints

The paper presents a method of designing curves and surfaces by solving the constraints imposed on the shapes at multiresolution levels. In this method, the curves and surfaces are represented by endpoint interpolating B splines and their corresponding wavelets. At each resolution level, the shape is determined by minimizing the energy function subject to the deformation of the shape while preserving the given constraints. Constraints at a low resolution level are converted to those at a high resolution level using wavelet transforms in order to associate all the constraints with the common basis functions. The constraints at multiresolution levels are then solved recursively from low to high resolution levels. Design examples are also presented.
Closely coupled array processing and model-based compensation for microphone array speech recognition

In this paper, a new microphone array speech recognition system in which the array processor and the speech recognizer are closely coupled is studied. The system includes a generalized sidelobe canceller (GSC) beamformer followed by a recognizer with vector Taylor series (VTS) compensation. The GSC beamformer provides two outputs, allowing more information to be used in the recognizer. One is the enhanced target speech output, the other is the reference noise output. VTS is used to compensate the effect of the residual noise in the GSC speech output, utilizing the GSC reference noise output. The compensation is done in a minimum mean square error (MMSE) sense. Moreover, an iteration procedure using an expectation-maximization (EM) algorithm is developed to refine the compensation parameters. Experimental results on the MONC database showed that the new system significantly improved the speech recognition performance in overlapping speech situations.
Imaging Breast Cancer Chemotherapy Response with Light

Diffuse optical spectroscopy (DOS), which is used to image tumor metabolic response to neoadjuvant chemotherapy (NAC), shows large changes in tumor functional parameters with significant reductions in oxy- and deoxyhemoglobin for responders versus nonresponders. Although investigational, DOS may provide a cost-effective, risk-free method for optimizing NAC drug and dosing strategies for individual patients. Clin Cancer Res; 16(9); 2486–8. ©2010 AACR.
Computationally efficient energy optimization of multiple robots

This paper presents convex modeling techniques for the problem of optimal velocity control of multiple robots on given intersecting paths. The optimal control problem is formulated as a nonlinear program, which generates predictive state and control trajectories that avoid collisions among the robots and minimize a certain performance index, such as operation time, energy dissipation and actuator usage. Advantages and disadvantages of two modeling approaches are discussed, involving a variable change with square of velocity, or alternatively inverse of velocity. The performance of the two approaches is evaluated in a case study with an industrial robot.
Dysexecutive Questionnaire (DEX): Unrestricted structural analysis in large clinical and non-clinical samples

The factorial structure of the Dysexecutive Questionnaire (DEX) is an unresolved issue in scientific literature. One-to-five-factor solutions have been found in several studies by applying different research methods. Only a few of these studies used appropriate analysis procedures to suit a Likert scale-type of answer or investigated large enough samples to ensure the stability of factorial solutions. The present study examines a sample of 2151 subjects, 1482 from the general population and 669 from a clinical population. An unrestricted factorial analysis was carried out on both samples. The results unequivocally point to a single-factor solution in both samples. This means that only one latent variable is displayed in the DEX, which accounts for symptoms of oversight malfunction in activities of daily living. It is concluded that the diversity of results previously obtained in other studies may be due to using research methods that depict Likert-type scales on a continuum when they are actually ordinal categorical measures. In conclusion, the DEX should be considered a screening test that reports symptoms of prefrontal malfunction, although it is unable to specify what areas or functions have been affected, as previous studies have claimed.
Role of the D-alanyl carrier protein in the biosynthesis of D-alanyl-lipoteichoic acid

D-Alanyl-lipoteichoic acid (D-alanyl-LTA) is a widespread macroamphiphile which plays a vital role in the growth and development of gram-positive organisms. The biosynthesis of this polymer requires the enzymic activation of D-alanine for its transfer to the membrane-associated LTA (mLTA). A small, heat-stable, and acidic protein that is required for this transfer was purified to greater than 98% homogeneity from Lactobacillus casei ATCC 7469. This protein, previously named the D-alanine-membrane acceptor ligase (V. M. Reusch, Jr., and F. C. Neuhaus, J. Biol. Chem. 246:6136-6143, 1971), functions as the D-alanyl carrier protein (Dcp). The amino acid composition, beta-alanine content, and N-terminal sequence of this protein are similar to those of the acyl carrier proteins (ACPs) of fatty acid biosynthesis. The isolation of Dcp and its derivative, D-alanyl approximately Dcp, has allowed the characterization of two novel reactions in the pathway for D-alanyl-mLTA biosynthesis: (i) the ligation of Dcp with D-alanine and (ii) the transfer of D-alanine from D-alanyl approximately Dcp to a membrane acceptor. It has not been established whether the membrane acceptor is mLTA or another intermediate in the pathway for D-alanyl-mLTA biosynthesis. Since the D-alanine-activating enzyme (EC 6.1.1.13) catalyzes the ligation reaction, this enzyme functions as the D-alanine-Dcp ligase (Dcl). Dcl also ligated the ACPs from Escherichia coli, Vibrio harveyi, and Saccharopolyspora erythraea with D-alanine. In contrast to the relaxed specificity of Dcl in the ligation reaction, the transfer of D-alanine to the membrane acceptor was highly specific for Dcp and did not occur with other ACPs. This transfer was observed by using only D-[14C]alanyl approximately Dcp and purified L. casei membranes. Thus, D-alanyl approximately Dcp is an essential intermediate in the transfer of D-alanine from Dcl to the membrane acceptor. The formation of D-alanine esters of mLTA provides a mechanism for modulating the net anionic charge in the cell wall.
Characterizing Parallel Scientific Applications on Commodity Clusters: An Empirical Study of a Tapered Fat-Tree

Understanding the characteristics and requirements of applications that run on commodity clusters is key to properly configuring current machines and, more importantly, procuring future systems effectively. There are only a few studies, however, that are current and characterize realistic workloads. For HPC practitioners and researchers, this limits our ability to design solutions that will have an impact on real systems. We present a systematic study that characterizes applications with an emphasis on communication requirements. It includes cluster utilization data, identifying a representative set of applications from a U.S. Department of Energy laboratory, and characterizing their communication requirements. The driver for this work is understanding application sensitivity to a tapered fat-tree network. These results provided key insights into the procurement of our next generation commodity systems. We believe this investigation can provide valuable input to the HPC community in terms of workload characterization and requirements from a large supercomputing center.
ALκI (UNK) – primary structure of an AL-amyloid protein presenting an organ-limited subcutaneous nodular amyloid syndrome of long duration. Case report and review

Slowly progressing subcutaneous nodules all over the body were detected in 1994 in an otherwise healthy, now 66-year-old woman (UNK). A first biopsy was taken 10 years ago and revealed amyloid. Immunohistochemistry was suggestive for ALκ. From a nodular excisate, performed in the same year for cosmetic reasons, amyloid fibrils were extracted. Protein separation according to their size revealed multiple protein fragments below the MW of an intact κ-light chain. They were identified as κ-fragments by Western blotting. The κ-fragments were cleaved into overlapping peptides using tryptic, N-Asp and chymotryptic digests. Peptides were sequenced by Edman-degradation and mass spectrometry. The complete amino acid sequence of the variable region and most of the constant region of ALκ (UNK) was identified in various fragments comprising positions 1 to 207 of a monoclonal κI-light chain. Four novel and several rare amino acid exchanges have been identified as compared to 17 amyloidogenic and >100 non-amyloidogenic κI-sequences published, leading to increased hydrophobicity of ALκ (UNK). Sequence analysis of C-region peptides allowed one to determine the κ-allotype as being invb+. A rabbit antibody was produced against ALκI (UNK). It strongly reacted with amyloid on formalin-fixed paraffin embedded tissue sections of the same patient and detected ALκ-amyloid of many other patients. In contrast, antibodies produced against κBJP of subclasses κI–κIV failed to label ALκ (UNK) amyloid deposits. The patient continues to be free of systemic disease, already for 14 years until today.
School feeding contributes to micronutrient adequacy of Ghanaian schoolchildren

Without gains in nutritional outcomes, it is unlikely that school feeding programmes (SFP) could improve cognition and academic performance of schoolchildren despite the improvements in school enrolment. We compared the nutrient intake adequacy and Fe and nutritional status of SFP and non-SFP participants in a cross-sectional survey involving 383 schoolchildren (aged 5–13 years). Quantitative 24 h recalls and weighed food records, repeated in 20 % subsample, were used to estimate energy and nutrient intakes adjusted for day-to-day variations. The probability of adequacy (PA) was calculated for selected micronutrients and the mean of all PA (MPA) was calculated. The concentrations of Hb, serum ferritin, and soluble transferrin receptor (sTfR) and anthropometric measurements were used to determine Fe and nutritional status. Energy and nutrient intakes and their adequacies were significantly higher among SFP participants (P< 0·001). The MPA of micronutrients was significantly higher among SFP participants (0·61 v. 0·18; P< 0·001), and the multiple-micronutrient-fortified corn soya blend was a key contributor to micronutrient adequacy. In SFP participants, 6 g/l higher Hb concentrations (P< 0·001) and about 10 % points lower anaemia prevalence (P= 0·06) were observed. The concentration of sTfR was significantly lower among SFP participants (11·2 v. 124 mg/l; P= 0·04); however, there was no difference in the prevalence of Fe deficiency and Fe-deficiency anaemia between SFP and non-SFP participants. There was also no significant difference in the prevalence of thinness, underweight and stunting. In conclusion, the present results indicate that school feeding is associated with higher intakes and adequacies of energy and nutrients, but not with the prevalence of Fe and nutritional status indicators. The results also indicate an important role for micronutrient-dense foods in the achievement of micronutrient adequacy within SFP.
Laminin-Coated Poly(Methyl Methacrylate) (PMMA) Nanofiber Scaffold Facilitates the Enrichment of Skeletal Muscle Myoblast Population

Myoblasts, the contractile cells of skeletal muscle, have been invaluable for fundamental studies of muscle development and clinical applications for muscle loss. A major limitation to the myoblast-based therapeutic approach is contamination with non-contractile fibroblasts, which overgrow during cell expansion. To overcome these limitations, this study was carried out to establish a 3D culture environment using nanofiber scaffolds to enrich the myoblast population during construct formation. Poly(methyl methacrylate) (PMMA) nanofiber (PM) scaffolds were fabricated using electrospinning techniques and coated with extracellular matrix (ECM) proteins, such as collagen or laminin, in the presence or absence of genipin. A mixed population of myoblasts and fibroblasts was isolated from human skeletal muscle tissues and cultured on plain surfaces, as well as coated and non-coated PM scaffolds. PMMA can produce smooth fibers with an average diameter of 360 ± 50 nm. Adsorption of collagen and laminin on PM scaffolds is significantly enhanced in the presence of genipin, which introduces roughness to the nanofiber surface without affecting fiber diameter and mechanical properties. It was also demonstrated that laminin-coated PM scaffolds significantly enhance myoblast proliferation (0.0081 ± 0.0007 h−1) and migration (0.26 ± 0.04 μm/min), while collagen-coated PM scaffolds favors fibroblasts proliferation (0.0097 ± 0.0009 h−1) and migration (0.23 ± 0.03 μm/min). Consequently, the myoblast population was enriched on laminin-coated PM scaffolds throughout the culture process. Therefore, laminin coating of nanofiber scaffolds could be a potential scaffold for the development of a tissue-engineered muscle substitute.