Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Communication in Classroom Management

ABSTRACT In literature, teaching climate is closely related to be connected to school performance, such as students’ achievement, engaging, confidence, classroom discipline and school effectiveness. This paper analyzes teaching climate in relation to teachers’ communication style, personality traits and type of school. The study was conducted during 2016 in primary and secondary schools in Serbia on 221 teachers. Multivariate analysis of covariance was used for the prediction of teaching climate in relation to predictor variables. The results suggest that assessment of relations student-student and student-teacher should be considered primarily in the context of teachers’ communication profile and some personality traits. The results are relevant to the researchers, theoreticians and practitioners in the field of classroom management, school administration and educational psychology, as they provide the insight into the correlation of given concepts as well as guidelines for improving the educational process.
Life expectancy with cognitive impairment in the older population of the United States.

OBJECTIVES This article provides estimates of the prevalence of cognitive impairment by age and sex for a nationally representative sample of the U.S. population aged 70 and over. From these estimates, years of life with and without cognitive impairment are calculated. METHODS Using data from the Assets and Health Dynamics of the Oldest Old (AHEAD) survey, the prevalence of cognitive impairment is estimated for a sample representing both the community-dwelling and institutionalized older American population. Sullivan's method is used to calculate the average number of years an elderly person can expect to live with and without cognitive impairment. RESULTS The prevalence of moderate to severe cognitive impairment in the total U.S. population aged 70 and over is 9.5%. At age 70, the average American can expect 1.5 years with cognitive impairment. Expected length of life with cognitive impairment is longer for women than men because of their longer life expectancy. DISCUSSION As total life expectancy continues to increase, the length of life with cognitive impairment for the American population will increase unless age-specific prevalence is reduced. There is great potential for improvement in future early treatment and diagnosis of this condition.
sleep apnea syndrome during wakefulness and sleep Determinants of heart rate variability in obstructive

intact animal to the cellular, subcellular, and molecular levels. It is published 12 times a year (monthly) by the American lymphatics, including experimental and theoretical studies of cardiovascular function at all levels of organization ranging from the publishes original investigations on the physiology of the heart, blood vessels, and AJP-Heart and Circulatory Physiology
Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries

Structure from Motion (SfM) photogrammetry applied to photographs captured from Unmanned Aerial Vehicle (UAV) platforms is increasingly being utilised for a wide range of applications including structural characterisation of forests. The aim of this study was to undertake a first evaluation of whether SfM from UAVs has potential as a low cost method for forest monitoring within developing countries in the context of Reducing Emissions from Deforestation and forest Degradation (REDD+). The project evaluated SfM horizontal and vertical accuracy for measuring the height of individual trees. Aerial image data were collected for two test sites; Meshaw (Devon, UK) and Dryden (Scotland, UK) using a Quest QPOD fixed wing UAV and DJI Phantom 2 quadcopter UAV, respectively. Comparisons were made between SfM and airborne LiDAR point clouds and surface models at the Meshaw site, while at Dryden, SfM tree heights were compared to ground measured tree heights. Results obtained showed a strong correlation between SfM and LiDAR digital surface models (R2 = 0.89) and canopy height models (R2 = 0.75). However, at Dryden, a poor correlation was observed between SfM tree heights and ground measured heights (R2 = 0.19). The poor results at Dryden were explained by the fact that the forest plot had a closed canopy structure such that SfM failed to generate enough below-canopy ground points. Finally, an evaluation of UAV surveying methods was also undertaken to determine their usefulness and cost-effectiveness for plot-level forest monitoring. The study concluded that although SfM from UAVs performs poorly in closed canopies, it can still provide a low cost solution in those developing countries where forests have sparse canopy cover (<50%) with individual tree crowns and ground surfaces well-captured by SfM photogrammetry. Since more than half of the forest covered areas of the world have canopy cover <50%, we can conclude that SfM has enormous potential for forest mapping in developing countries.
Rounding-based Moves for Semi-Metric Labeling

Semi-metric labeling is a special case of energy minimization for pairwise Markov random fields. The energy function consists of arbitrary unary potentials, and pairwise potentials that are proportional to a given semi-metric distance function over the label set. Popular methods for solving semi-metric labeling include (i) move-making algorithms, which iteratively solve a minimum st-cut problem; and (ii) the linear programming (LP) relaxation based approach. In order to convert the fractional solution of the LP relaxation to an integer solution, several randomized rounding procedures have been developed in the literature. We consider a large class of parallel rounding procedures, and design move-making algorithms that closely mimic them. We prove that the multiplicative bound of a move-making algorithm exactly matches the approximation factor of the corresponding rounding procedure for any arbitrary distance function. Our analysis includes all known results for move-making algorithms as special cases.
GABAB2 Is Essential for G-Protein Coupling of the GABAB Receptor Heterodimer

GABAB receptors are unique among G-protein-coupled receptors (GPCRs) in their requirement for heterodimerization between two homologous subunits, GABAB1and GABAB2, for functional expression. Whereas GABAB1 is capable of binding receptor agonists and antagonists, the role of each GABAB subunit in receptor signaling is unknown. Here we identified amino acid residues within the second intracellular domain of GABAB2 that are critical for the coupling of GABAB receptor heterodimers to their downstream effector systems. Our results provide strong evidence for a functional role of the GABAB2 subunit in G-protein coupling of the GABAB receptor heterodimer. In addition, they provide evidence for a novel “sequential” GPCR signaling mechanism in which ligand binding to one heterodimer subunit can induce signal transduction through the second partner of a heteromeric complex.
Grouping and Classifying Electrophysiologically-Defined Classes of Neocortical Neurons by Single Cell, Whole-Genome Expression Profiling

The diversity of neuronal cell types and how to classify them are perennial questions in neuroscience. The advent of global gene expression analysis raised the possibility that comprehensive transcription profiling will resolve neuronal cell types into groups that reflect some or all aspects of their phenotype. This approach has been successfully used to compare gene expression between groups of neurons defined by a common property. Here we extend this approach to ask whether single neuron gene expression profiling can prospectively resolve neuronal subtypes into groups, independent of any phenotypic information, and whether those groups reflect meaningful biological properties of those neurons. We applied methods we have developed to compare gene expression among single neural stem cells to study global gene expression in 18 randomly picked neurons from layer II/III of the early postnatal mouse neocortex. Cells were selected by morphology and by firing characteristics and electrical properties, enabling the definition of each cell as either fast- or regular-spiking, corresponding to a class of inhibitory interneurons or excitatory pyramidal cells. Unsupervised clustering of young neurons by global gene expression resolved the cells into two groups and those broadly corresponded with the two groups of fast- and regular-spiking neurons. Clustering of the entire, diverse group of 18 neurons of different developmental stages also successfully grouped neurons in accordance with the electrophysiological phenotypes, but with more cells misassigned among groups. Genes specifically enriched in regular spiking neurons were identified from the young neuron expression dataset. These results provide a proof of principle that single-cell gene expression profiling may be used to group and classify neurons in a manner reflecting their known biological properties and may be used to identify cell-specific transcripts.
Direct algorithm for pole placement by state-derivative feedback for multi-inputlinear systems - nonsingular case

This paper deals with the direct solution of the pole placement problem by state-derivative feedback for multi- input linear systems. The paper describes the solution of this pole placement problem for any controllable system with nonsingular system matrix and nonzero desired poles. Then closed-loop poles can be placed in order to achieve the desired system performance. The solving procedure results into a formula similar to Ackermann one. Its derivation is based on the transformation of linear multi-input systems into Frobenius canonical form by coordinate transformation, then solving the pole placement problem by state derivative feedback and transforming the solution into original coordinates. The procedure is demonstrated on examples. In the present work, both time- invariant and time-varying systems are treated.
Complex Multi-Block Analysis Identifies New Immunologic and Genetic Disease Progression Patterns Associated with the Residual β-Cell Function 1 Year after Diagnosis of Type 1 Diabetes

The purpose of the present study is to explore the progression of type 1 diabetes (T1D) in Danish children 12 months after diagnosis using Latent Factor Modelling. We include three data blocks of dynamic paraclinical biomarkers, baseline clinical characteristics and genetic profiles of diabetes related SNPs in the analyses. This method identified a model explaining 21.6% of the total variation in the data set. The model consists of two components: (1) A pattern of declining residual β-cell function positively associated with young age, presence of diabetic ketoacidosis and long duration of disease symptoms (P = 0.0004), and with risk alleles of WFS1, CDKN2A/2B and RNLS (P = 0.006). (2) A second pattern of high ZnT8 autoantibody levels and low postprandial glucagon levels associated with risk alleles of IFIH1, TCF2, TAF5L, IL2RA and PTPN2 and protective alleles of ERBB3 gene (P = 0.0005). These results demonstrate that Latent Factor Modelling can identify associating patterns in clinical prospective data – future functional studies will be needed to clarify the relevance of these patterns.
Myths of Romantic Love and Gender-based Violence in the Fan Forum of the Spanish Teen Series Los Protegidos

By analysing the fan forum of a popular Spanish teen series aimed at young people, Los Protegidos (2010–12), this study explores how stereotypical myths and beliefs about romantic love are maintained. The article interprets comments made by Spanish fans of the series about the reactions and behaviours of the leading couple. We found that fan forum participants evaluate the couple’s behaviour according to gender stereotypes. They justify the male character’s aggressive behaviour towards the female character and blame her for her mistreatment. Based on the analysis results, we reflect on the perpetuation of myths that justify violence in romantic relationships.
Estimating flow distribution by using difference information of multiple packet samplings

Packet sampling is one of effective ways to reduce the overhead of the traffic measurement at high speed routers, in which the router collects only a part of whole traffic based on the probabilistic theory. Since the statistic information of uncollected packets may be lost, the accuracy of the statistic information of sampled traffic becomes degraded as the increase of the sampling interval. In this paper, we analyze the difference information from statistics obtained by multiple sub-samplings with different sampling interval in order to model the change in the number of packets of flow by packet sampling. We then propose a new method which improves the accuracy of the estimation of flow length distribution. We show that our method can estimate original flow length distributions accurately.
The Effects of Attitude , Subjective Norm , and Perceived Behavioral Control on Consumers ’ Purchase Intentions : The Moderating Effects of Product Knowledge and Attention to Social Comparison Information

The purpose of this research is to investigate whether the relative influences of attitude, subjective norm, and perceived behavioral control on consumers’ purchase intentions will be different when consumers possess different levels of product knowledge (subjective and objective) and attention to social comparison information (ATSCI). As proposed by the theory of planned behavior, consumers’ purchase intentions are affected not only by their attitudes, but also by their group’s influences and their own perceived control. The relative strength of effects of these three factors on consumers’ purchase intentions is expected to vary across behaviors and situations. The results showed that the relative importance of attitude, subjective norm, and perceived behavioral control in the prediction of intention varies when consumers possess different levels of subjective product knowledge and ATSCI. Subjective knowledge is a moderating variable for the relationship between perceived behavioral control and purchase intention, while ATSCI was a moderating variable for the relationship between attitude and purchase intentions, and for the relationship between subjective norm and purchase intention. This research has strong implications for marketers. It can help them develop more effective marketing programs to affect consumers’ purchase intentions. In addition, the study is one of a few studies that applies the theory of planned behavior in the marketing field.
Assessment of Bangladeshi Interns' Knowledge of Pharmacology and Therapeutics for Prescribing.

Article history: Every medical graduate must have the intention to prescribe rationally. It is pharmacology which teaches rational of prescribing correct drug in undergraduate medical course. Therefore many eminent medical educationists believe that pharmacology is the most essential part of the medical curriculum. Medical graduates join as interns in their respective teaching hospital immediately after graduation. Although interns work is usually under the supervision of a senior consultant but there are occasions, when they need to make their own decision. Again drug market in Bangladesh, like many other countries, is rapidly expanding. Henceforth, interns' are sometime confused to choose a drug from therapeutic choices. This study was conducted with the intention to provide some light about the knowledge of pharmacology among the Bangladeshi interns. This was a cross-sectional study conducted on Interns (n=191) of six medical schools of Bangladesh. Validated instrument was used to uptake the data. These medical schools are both government and private but Bangladesh has unique curriculum for all medical schools. Out of these 191 participants 81 (42%) rated pharmacology knowledge is good, while another 77 (40%) had average understanding. As high as 80% (152) intern population feel that undergraduate training has prepared them to prescribe safely. One hundred seventeen (61%) interns have already observed cases of adverse drug reactions in their short active clinical life. Although it is a cross sectional study with its limitations, has identified that pharmacology and therapeutics course curriculum is not enough to produce safe prescribers.
Effects of Sevoflurane and Propofol on Frontal Electroencephalogram Power and Coherence

Background:The neural mechanisms of anesthetic vapors have not been studied in depth. However, modeling and experimental studies on the intravenous anesthetic propofol indicate that potentiation of &ggr;-aminobutyric acid receptors leads to a state of thalamocortical synchrony, observed as coherent frontal alpha oscillations, associated with unconsciousness. Sevoflurane, an ether derivative, also potentiates &ggr;-aminobutyric acid receptors. However, in humans, sevoflurane-induced coherent frontal alpha oscillations have not been well detailed. Methods:To study the electroencephalogram dynamics induced by sevoflurane, the authors identified age- and sex-matched patients in which sevoflurane (n = 30) or propofol (n = 30) was used as the sole agent for maintenance of general anesthesia during routine surgery. The authors compared the electroencephalogram signatures of sevoflurane with that of propofol using time-varying spectral and coherence methods. Results:Sevoflurane general anesthesia is characterized by alpha oscillations with maximum power and coherence at approximately 10 Hz, (mean ± SD; peak power, 4.3 ± 3.5 dB; peak coherence, 0.73 ± 0.1). These alpha oscillations are similar to those observed during propofol general anesthesia, which also has maximum power and coherence at approximately 10 Hz (peak power, 2.1 ± 4.3 dB; peak coherence, 0.71 ± 0.1). However, sevoflurane also exhibited a distinct theta coherence signature (peak frequency, 4.9 ± 0.6 Hz; peak coherence, 0.58 ± 0.1). Slow oscillations were observed in both cases, with no significant difference in power or coherence. Conclusions:The study results indicate that sevoflurane, like propofol, induces coherent frontal alpha oscillations and slow oscillations in humans to sustain the anesthesia-induced unconscious state. These results suggest a shared molecular and systems-level mechanism for the unconscious state induced by these drugs.
Identification of useful user comments in social media: a case study on flickr commons

Cultural institutions are increasingly opening up their repositories and contribute digital objects to social media platforms such as Flickr. In return they often receive user comments containing information that could be incorporated in their catalog records. Since judging the usefulness of a large number of user comments is a labor-intensive task, our aim is to provide automated support for filtering potentially useful social media comments on digital objects. In this paper, we discuss the notion of usefulness in the context of social media comments and compare it from end-users as well as expertusers perspectives. Then we present a machine-learning approach to automatically classify comments according to their usefulness. Our approach makes use of syntactic and semantic comment features and also considers user context. We present the results of an experiment we did on user comments received in six different Flickr Commons collections. They show that a few relatively straightforward features can be used to infer useful comments with up to 89% accuracy.
Fast, automatic character animation pipelines

Humanoid three‐dimensional (3D) models can be easily acquired through various sources, including through online marketplaces. The use of such models within a game or simulation environment requires human input and intervention in order to associate such a model with a relevant set of motions and control mechanisms. In this paper, we demonstrate a pipeline where humanoid 3D models can be incorporated within seconds into an animation system and infused with a wide range of capabilities, such as locomotion, object manipulation, gazing, speech synthesis and lip syncing. We offer a set of heuristics that can associate arbitrary joint names with canonical ones and describe a fast retargeting algorithm that enables us to instill a set of behaviors onto an arbitrary humanoid skeleton on‐the‐fly. We believe that such a system will vastly increase the use of 3D interactive characters due to the ease that new models can be animated.Copyright © 2013 John Wiley & Sons, Ltd.
Statistical Applications in Genetics and Molecular Biology Multiple Testing for SNP-SNP Interactions

Most genetic diseases are complex, i.e. associated to combinations of SNPs rather than individual SNPs. In the last few years, this topic has often been addressed in terms of SNP-SNP interaction patterns given as expressions linked by logical operators. Methods for multiple testing in high-dimensional settings can be applied when many SNPs are considered simultaneously. However, another less well-known multiple testing problem arises within a fixed subset of SNPs when the logic expression is chosen optimally. In this article, we propose a general asymptotic approach for deriving the distribution of the maximally selected chi-square statistic in various situations. We show how this result can be used for testing logic expressions in particular SNPSNP interaction patterns while controlling for multiple comparisons. Simulations show that our method provides multiple testing adjustments when the logic expression is chosen such as to maximize the statistic. Its benefit is demonstrated through an application to a real dataset from a large population-based study considering allergy and asthma in KORA. An implementation of our method is available from the Comprehensive R Archive Network (CRAN) as R package 'SNPmaxsel'.
A Case Study of Inter-Arrival Time Distributions of Container Ships

Given the recent prevalence of periodical container liners, the applicability of related models of widely applied queuing theory is left in doubt. Since they focus on marine liners, the distribution pattern is always considered to be a deterministic distribution for periodical schedule. In order to investigate the distribution patterns of container liners, observation units are segmented into single shipping liners, single berths, single container terminals and entire ports. The evolution of the ship arrival distribution pattern and the goodness-of-fit test for observation are based on the ship dynamic data of international harbors in Taiwan. This study aims to implement tests for public and dedicated container berths by comparing the variance in the patterns and characteristics of the ship arrival distributions. The ship inter-arrival distribution in the foregoing systems was found to follow the Erlang distribution; its distribution coefficient (k), changed by observation system, tends to decrease as the system's scale grows.
Gaze Control DURING the hitting phase in Tennis: a Preliminary Study

The present study is an examination of the head position in tennis during the hitting phase as revealed in recent observations of professional tennis players. The comparison of head position during the hitting phase is based on top tennis players’ photos recorded whilst they performed during competition. The photo analysis revealed that the head position during the stroke execution distinguished significantly elite players from other professional players especially after impact. Elites show a characteristic head fixation in the direction of the contact zone at impact and during the follow-through. This finding suggests significant differences in gaze behaviour (coupled eyes and head movement) among professional players.