Miracle-dz/UniFAR-FTUs huggingface dataset:
An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis

The goal of this article is to assess the feasibility of estimating the state of various rotating components in agro-industrial machinery by employing just one vibration signal acquired from a single point on the machine chassis. To do so, a Support Vector Machine (SVM)-based system is employed. Experimental tests evaluated this system by acquiring vibration data from a single point of an agricultural harvester, while varying several of its working conditions. The whole process included two major steps. Initially, the vibration data were preprocessed through twelve feature extraction algorithms, after which the Exhaustive Search method selected the most suitable features. Secondly, the SVM-based system accuracy was evaluated by using Leave-One-Out cross-validation, with the selected features as the input data. The results of this study provide evidence that (i) accurate estimation of the status of various rotating components in agro-industrial machinery is possible by processing the vibration signal acquired from a single point on the machine structure; (ii) the vibration signal can be acquired with a uniaxial accelerometer, the orientation of which does not significantly affect the classification accuracy; and, (iii) when using an SVM classifier, an 85% mean cross-validation accuracy can be reached, which only requires a maximum of seven features as its input, and no significant improvements are noted between the use of either nonlinear or linear kernels.
Availability of data assessing the prevalence and trends of overweight and obesity among European adolescents

Abstract Objective To review recent data on objectively measured overweight/obesity in national representative samples of European adolescents (aged 10–18 years), as well as availability of studies assessing trends in overweight/obesity in this target group. Attention was paid to the ability of the data to describe the obesity epidemic, especially in sociodemographic subgroups. Design/setting/subjects Data on prevalence and trends in overweight/obesity among adolescents in the twenty-seven European Community member states, Iceland, Norway and Switzerland, available as scientific publications as well as reports or unpublished data by the end of 2009, were retrieved. Reports on the most recent objectively measured data from national representative samples were selected and described with regard to the years of data collection, sample sizes, response rates, age ranges included, trends by age, type of measures of overweight/obesity, sociodemographic variables and the sources of information. Results Objectively measured data on national representative samples were identified for only half of the countries, and the trend studies were mainly conducted applying subnational samples. Most studies used the criteria from the International Obesity Task Force (IOTF) to define overweight/obesity, but the age ranges studied and the years of data collection varied, and information on sample sizes and response rates were often not presented. Data on trends of overweight/obesity over time are increasing, and the most recent studies indicate that the prevalence rate of overweight/obesity has stabilized. Few studies reported data by sociodemographic subgroups other than gender and age. Conclusions Objectively measured data on national representative samples of adolescents appear scattered, and there is a large heterogeneity with respect to the quality and comparability of available data. Increasing use of the IOTF criteria for overweight/obesity contributes to improved comparability across studies. Data by sociodemographic subgroups, and in particular by socio-economic status, are scarce.
On slicing programs with jump statements

Program slices have potential uses in many software engineering applications. Traditional slicing algorithms, however, do not work correctly on programs that contain explicit jump statements. Two similar algorithms were proposed recently to alleviate this problem. Both require the flowgraph and the program dependence graph of the program to be modified. In this paper, we propose an alternative algorithm that leaves these graphs intact and uses a separate graph to store the additional required information. We also show that this algorithm permits an extremely efficient, conservative adaptation for use with programs that contain only “structured” jump statements.
Prenatal Glucocorticoid Treatment and Later Mental Health in Children and Adolescents

Background Animal studies demonstrate a clear link between prenatal exposure to glucocorticoids (GC) and altered offspring brain development. We aim to examine whether prenatal GC exposure programs long-term mental health in humans. Methods Using propensity-score-matching, children prenatally exposed to synthetic glucocorticoids (sGC), n=37, and controls, n=185, were balanced on important confounders related to sGC treatment - gestational age and pre-pregnancy BMI. We also used mixed-effects modeling to analyse the entire cohort – matching each sGC case, n=37, to all possible controls, n=6079, on gestational age and sex. We obtained data from the Northern Finland Birth Cohort 1986 at four waves – pregnancy, birth, 8 and 16 years. Data on pregnancy and birth outcomes came from medical records. Mental health was assessed at 8 years by teachers with the Rutter B2 scale, and at 16 years by parents with the Strengths and Weaknesses of ADHD symptoms and Normal behavior (SWAN) scale and adolescents by the Youth Self-Report (YSR) scale. Results Prenatal sGC treatment was consistently associated with adverse mental health in childhood and adolescence, as shown by both the propensity-score method and mixed-effects model. Using the propensity-score-matched subsample, linear multiple regression showed prenatal sGC was significantly linked with general psychiatric disturbance (B=8.34 [95% CI: .23-16.45]) and inattention (B= .97 [95% CI: .16-1.80]) at 8 years after control for relevant confounders. Similar findings were obtained at 16 years, but did not reach statistical significance. Mediation by birthweight/placental weight was not detected. Conclusions This study is the first to prospectively investigate the long-term associations between prenatal exposure to sGC treatment and mental health in children and adolescents. We report an association between prenatal exposure to sGC and child mental health, supportive of the idea that sGC has a programming effect on the fetal brain.
System and corpus : exploring connections

Susan Hunston & Geoff Thompson: Introduction Michael Stubbs: Corpus analysis: the state of the art and three types of unanswered questions Michael Hoey: Language as choice: what is chosen? Susan Hunston: Phraseology and system: a contribution to the debate Gordon Tucker: Systemic incorporation: on the relationship between corpus and Systemic Functional Grammar Christian Matthiessen: Systemic functional profiles of system and text: investigations based on texts, text archives and corpora Amy Neale: Matching Corpus Data and System Networks Anthony Baldry and Paul Thibault: Multimodal corpus linguistics Motoko Hori: The paradigm of pain expressions in Japanese Pattama Patpong: A corpus-based study of the conjunction ko:3 in Thai: an exploration of textual resource Martin Kaltenbacher: Exploring culture related linguistic differences in tourist board web-sites: the emotive and the factual Serge Sharoff: How to handle lexical semantics in SFL: a corpus study of purposes for using size adjectives Donna Miller: Appraising 'giving' in a small corpus of Alma Mater donation requests, or what the standard concordance line will/won't tell us M A K Halliday: Afterwords
Genome Halving with Double Cut and Join

The genome halving problem, previously solved by El-Mabrouk for inversions and reciprocal translocations, is here solved in a more general context allowing transpositions and block interchange as well, for genomes including multiple linear and circular chromosomes. We apply this to several datasets and compare the results to the previous algorithm.
A Plumbline Constraint for the Rational Function Lens Distortion Model

The recently introduced Rational Function (RF) model permits a linear solution of epipolar geometry and lens distortion from image correspondences for a very general class of lenses. In this paper we show that the model also permits a very elegant form of the plumbline constraint which allows uncalibrated correction of lens distortion from a single image containing lines known to be straight in the world. We show how this may be expressed as a factorization problem, and discuss its behaviour with noisy data. We also introduce a simple reduced parametrization of the RF model which again models a range of existing lenses. Because the RF model provides a very simple form for the distorted lines, nonlinear minimization can compute the Sampson distance to the distorted lines, allowing fast and accurate estimation of the RF model even from noisy images.
Integrated Readout and Control Electronics for a Microelectromechanical Angular Velocity Sensor

An ASIC is implemented for readout and control of a bulk micromachined capacitive gyroscope. Both the system architecture and details on the circuitry of different subsystems are presented. Together with digital signal processing on an FPGA chip, a complete working prototype of a microelectromechanical gyroscope is realized and measured. This plusmn100 deg/s gyroscope achieves 0.053 deg/s/yradic(Hz) spot noise and 49.9 dB signal-to-noise ratio over the 36 Hz bandwidth, with plusmn4 % offset stability over the temperature range from -40 to +85 degC. The work shows that a gyroscope can be realized with the chosen architecture, and that good performance can be achieved
Dynamic Multidimensional Scaling Algorithm for Mobile Location

Multidimensional scaling is a set of data analysis techniques. It pictures the structure of a set of objects from data that approximate the distances between pairs of the objects, and has been proposed for wireless network based mobile location. However, classical multidimensional scaling is sensitive to the range measurements error due to non-line-of-sight propagation. This paper presents a dynamic multidimensional scaling algorithm for mobile localization. The performance is analyzed in the minimum localization system using time-of-arrival (TOA) measurements from three base stations. Simulation results show that the algorithm performs well in non-line-of-sight scenario
Recommending Friends in Local Social Networks: An Envelope of Algorithms

As the proliferating of online social networks, a lot of researchers studied the topics of link prediction, and developed a plenty of friend recommending algorithms. The researchers try to illustrate that their algorithms perform better than other algorithms, especially in terms of prediction accuracy. However, it is much possible that no friend recommending algorithm can really beat the other algorithms based on the same data/information. Specially, in this study, we find that the friend recommending algorithms perform differently when we evaluate the algorithms using different performance indicators, or when the algorithms are applied for different groups of users classified by the user degree. Based on these findings, we propose a method to construct envelops of algorithms, to combine the "best part" of each algorithm together for specified purpose. We collect data from a Chinese dominant social network website to compare the existing algorithms and to verify the proposed envelope method. The results show that the proposed algorithm can enhance the performance of friend recommending algorithms for specified purposes.
Factors Associated with Mobility Outcomes in a National Spina Bifida Patient Registry

ObjectiveTo provide descriptive data on ambulatory ability and muscle strength in a large cohort of individuals with spina bifida enrolled in a National Spina Bifida Patient Registry and to investigate factors associated with ambulatory status. DesignCross-sectional analysis of data from a multisite patient registry. ResultsDescriptive analysis of mobility variables for 2604 individuals with spina bifida aged 5 and older are presented from 19 sites in the United States. Analysis of a subset of National Spina Bifida Patient Registry data from 380 individuals from 3 sites accompanied by data from a specialized spina bifida electronic medical record revealed that those with no history of a shunt, lower motor level, and no history of hip or knee contracture release surgery were more likely to be ambulatory at the community level than at the household or wheelchair level. ConclusionThis study is the first to examine factors associated with ambulatory status in a large sample of individuals with myelomeningocele and nonmyelomeningocele subtypes of spina bifida. Results of this study delineate the breadth of strength and functional abilities within the different age groups and subtypes of spina bifida. The results may inform physicians of the characteristics of those with varying ambulatory abilities. To Claim CME Credits:Complete the self-assessment activity and evaluation online at http://www.physiatry. org/JournalCME CME Objectives:Upon completion of this article, the reader should be able to: (1) Understand the scope of mobility limitations in individuals with spina bifida; (2) Appreciate the impact of certain factors on themobility status of individuals with spina bifida; and (3) Use knowledge of factors affecting mobility in individuals with spina bifida to direct treatment. Level:Advanced Accreditation:The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The Association of Academic Physiatrists designates this activity for a maximum of 1.5 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Simultaneous utilization of spectral magnitude and phase information to extract supervectors for speaker verification anti-spoofing

Protection from spoofing attacks is an essential component of speaker verification systems. This paper proposes a novel approach to detect such attacks by utilizing supervectors derived from spectral magnitude and phase information. Three countermeasures are chosen to represent these important information. To combine different countermeasures, score fusion and an antispoofing supervector (ASSV) are used. Experiments conducted on ASVspoof 2015 show that the combination of magnitude and phase information obtains relative 90% improvement in terms of the equal error rate (EER) compared to the best subsystem in the development set. The two systems can also be fused to further improve the performance. In addition to accuracy improvements, the new supervector framework is extensible and allows for a more flexible interface to the back-end classifier design.
Adaptive evolution of a key gene affecting queen and worker traits in the honey bee, Apis mellifera

The vitellogenin egg yolk precursor protein represents a well‐studied case of social pleiotropy in the model organism Apis mellifera. Vitellogenin is associated with fecundity in queens and plays a major role in controlling division of labour in workers, thereby affecting both individual and colony‐level fitness. We studied the molecular evolution of vitellogenin and seven other genes sequenced in a large population panel of Apis mellifera and several closely related species to investigate the role of social pleiotropy on adaptive protein evolution. We found a significant excess of nonsynonymous fixed differences between A. mellifera, A. cerana and A. florea relative to synonymous sites indicating high rates of adaptive evolution at vitellogenin. Indeed, 88% of amino acid changes were fixed by selection in some portions of the gene. Further, vitellogenin exhibited hallmark signatures of selective sweeps in A. mellifera, including a significant skew in the allele frequency spectrum, extreme levels of genetic differentiation and linkage disequilibrium. Finally, replacement polymorphisms in vitellogenin were significantly enriched in parts of the protein involved in binding lipid, establishing a link between the gene’s structure, function and effects on fitness. Our case study provides unequivocal evidence of historical and ongoing bouts of adaptive evolution acting on a key socially pleiotropic gene in the honey bee.
The influence of dwelling place and self efficacy on career decision-making

This study investigated the influence of dwelling place and self-efficacy on career decisionmaking. One hundred and seventy –five (175) participants were randomly selected from a population of remedial students in the University of Uyo. In this study dwelling place had two levels (rural vs urban) while self – efficacy also had two levels (high vs low). The design used was a 2 x 2 factorial design, while a 2- Way Analysis of Variance (ANOVA) for unequal sample size using the harmonic mean was used to analyse the data obtained in this study. Results showed that there was no statistically significant difference between rural and urban participants. However, there was a statistically significant difference between the participants who had high and low self- efficacy F(1,171)= 9.02, p< 0.05. Results were discussed in context relating to theories and previous findings on career decision making. The findings of the present study, point to the need to educate the masses on the steps to make career decisions.
From formal models to formally based methods: an industrial experience

We address the problem of increasing the impact of formal methods in the practice of industrial computer applications. We summarize the reasons why formal methods so far did not gain widespead use within the industrial environment despite several promising experiences. We suggest an evolutionary rather than revolutionary attitude in the introduction of formal methods in the practice of industrial applications, and we report on our long-standing experience which involves an academic institution. Politecnico di Milano, two main industrial partners, ENEL and CISE, and occasionally a few other industries. Our approach aims at augmenting an existing and fairly deeply rooted informal industrial methodology with our original formalism, the logic specification language TRIO. On the basis of the experiences we gained we argue that our incremental attitude toward the introduction of formal methods within the industry could be effective largely independently from the chosen formalism.
Cyberbullying in Australia: Is School Context Related to Cyberbullying Behavior

Information and Communication Technologies (ICT) permeate all aspects of society in Australia. Since the introduction of the Internet into Australia some 20 years ago the majority of Australian households (72% in 2008 – 2009) have access to the Internet (Australian Bureau of Statistics, 2009). By mid-2009 over 24 million active mobile phones services were used in Australia, more than one phone per person (Australian Communications and Media Authority, 2010). Increasingly young people are entering the mobile phone market with 76% of 12 to 14 year olds having their own phone (Australian Bureau of Statistics, 2010). Despite the infiltration of mobile phones into the youth market, the majority of phone contact (60%) made is to family members rather than peers (Australian Bureau of Statistics, 2009).
Difference Filter Preconditioning for Large Covariance Matrices

In many statistical applications one must solve linear systems involving large, dense, and possibly irregularly structured covariance matrices. These matrices are often ill-conditioned; for example, the condition number increases at least linearly with respect to the size of the matrix when observations of a random process are obtained from a fixed domain. This paper discusses a preconditioning technique based on a differencing approach such that the preconditioned covariance matrix has a bounded condition number independent of the size of the matrix for some important process classes. When used in large scale simulations of random processes, significant improvement is observed for solving these linear systems with an iterative method.
Creative Potential, Expertise, Social Desirability and Group Climate: Their relation in work teams dedicated to creativity and innovation

Relationships between personal factors creative potential, expertise, social desirability, and the factor group climate studied in real life work teams dedicated to creativity and innovation. Sample of four groups, three with five members (n = 5), one with three members (n = 3), in total eighteen people (N = 18); nine women (n = 9), nine men (n = 9). Prominent instruments used: for creative potential, the Creative Functioning Test (CFT) (Smith & Carlsson, 1990a, 1990b); for expertise, a self-report questionnaire based on the Generalized Expertise Measure (GEM) (Germain & Tejeda, 2009); for social desirability, the Strahan-Gerbasi 20-item social desirability scale (Strahan & Gerbasi, 1972); for group climate, the Creative Climate Questionnaire (CCQ) (Ekvall, 1990). CFT measures according to CFT manual (Smith & Carlsson, 1990a), questionnaires answered via a survey server. Statistical calculations made using correlations, t-tests, ANOVA and ANCOVA. Three work teams judged having innovative climate, one as having a climate between innovative and stagnating. Significant correlation between creative function and social desirability (r = -.434, N = 18, p = .036, one-tailed). No significant influence on group climate by any personal factors. Results explained by small sample and larger influence on group climate by other factors. Future research could include development of the expertise questionnaire and a wider range of work teams.
EVALUACIÓN E INFLUENCIA DE UN PROGRAMA DE FORMACIÓN ORIENTADO A LA MEJORA DEL CLIMA MOTIVACIONAL TRANSMITIDO POR ENTRENADORES DE BALONCESTO

The aim of this work was to analyze and compare the influence of the investigatory training program about a transmitted motivational climate for basketball coaches. The sample comprised of five basketball coaches (aged between 26 and 32), two of them participated in a investigatory training program. The behavior of the coaches was analyzed with an adaptation of the Coaching Behavior Assessment System (Smith, Smoll, and Hunt, 1977). It was realized by six observations within three months and was applied with two coaches of the investigatory training program, which approaches the established premises by Ames (1922) under the name TARGET. The results of the observations show how those progressed in increasing the transmission of the task climate, while the two coaches of the control group did not improve. In conclusion, we want to highlight the necessity of promoting a motivational climate in a task, furthermore the importance of the training programs, because the recommendations, which were given, helped the coaches to make the training an enjoyable and positive experience.