Miracle-dz/UniFAR-FTUs huggingface dataset:
A newly identified group of adolescents at “invisible” risk for psychopathology and suicidal behavior: findings from the SEYLE study

This study explored the prevalence of risk behaviors (excessive alcohol use, illegal drug use, heavy smoking, reduced sleep, overweight, underweight, sedentary behavior, high use of Internet/TV/videogames for reasons not related to school or work, and truancy), and their association with psychopathology and self‐destructive behaviors, in a sample of 12,395 adolescents recruited in randomly selected schools across 11 European countries. Latent class analysis identified three groups of adolescents: a low‐risk group (57.8%) including pupils with low or very low frequency of risk behaviors; a high‐risk group (13.2%) including pupils who scored high on all risk behaviors, and a third group (“invisible” risk, 29%) including pupils who were positive for high use of Internet/TV/videogames for reasons not related to school or work, sedentary behavior and reduced sleep. Pupils in the “invisible” risk group, compared with the high‐risk group, had a similar prevalence of suicidal thoughts (42.2% vs. 44%), anxiety (8% vs. 9.2%), subthreshold depression (33.2% vs. 34%) and depression (13.4% vs. 14.7%). The prevalence of suicide attempts was 5.9% in the “invisible” group, 10.1% in the high‐risk group and 1.7% in the low‐risk group. The prevalence of all risk behaviors increased with age and most of them were significantly more frequent among boys. Girls were significantly more likely to experience internalizing (emotional) psychiatric symptoms. The “invisible” group may represent an important new intervention target group for potentially reducing psychopathology and other untoward outcomes in adolescence, including suicidal behavior.
Regulations, Institutions, and Commitment: Comparative Studies of Telecommunications

Foreword Douglass North Series editor's preface Preface List of contributors 1. A framework for resolving the regulatory problem Brian Levy and Pablo T. Spiller 2. Telecommunications regulation in Jamaica Pablo T. Spiller and Cezley I. Sampson 3. The United Kingdom: a pacesetter in regulatory incentives Pablo T. Spiller and Ingo Vogelsang 4. Chile: regulatory specificity, credibility of commitment, and distributional demands Ahmed Galal 5. The political economy of the telecommunications sector in the Philippines Hadi Salehi Esfahani 6. Argentina: the sequencing of privatization and regulation Alice Hill and Manuel Angel Abdala Notes References Index.
Post-crisis Export Performance in Thailand

This paper examines post-crisis export performance in Thailand against the backdrop of pre-crisis experience and ongoing changes in patterns of international production. Following a stage-setting survey of trends and patterns of export performance over the past four decades, it focuses on two key themes central to the current policy debate, namely the implications of China's emergence as a key player in world markets in labour-intensive manufactured goods and the link between the crisis-propelled real exchange rate depreciation and export performance. There is strong evidence to suggest that the "China fear" is vastly exaggerated. Real exchange rate depreciation has been a significant determinant of the post-crisis export recovery. However, the growing importance in the export composition of parts and components within vertically integrated cross-border production processes has tended to weaken the nexus of real exchange rate and export growth.
Bird reproductive success and faunal habitat selection as tools for understanding the impacts of land-use management on moist highland grassland biodiversity in South Africa

iii ACKNOWLEDGEMENTS v TABLE OF CONTENTS vi CHAPTER 1 General introduction 1 1.1 Priority South African habitats in need of research 3 1.2 The grassland biome in South Africa 4 1.3 Grassland management 5 1.4 Birds in agri-environments 6 1.5 Birds as signals of faunal responses to management 7 1.6 Bird reproductive success as a tool for understanding the impacts of land use 8 1.7 Plants and arthropods in grasslands: their implications for bird reproduction 9 1.8 National conservation priorities 10 1.9 Study area and study design 10 CHAPTER 2 Fire and grazing: grassland management for plant conservation, and introducing the ‘fodder capacity’ index for setting grazing thresholds Abstract 13 2.
Yellow Ophthalmic Filters in the Visual Acquisition of Aircraft.

Abstract : Twenty subjects made a total of 400 threshold visual acquisitions of T-38 aircraft approaching from 9 miles out. Half of the acquisitions were made with the subjects wearing yellow ophthalmic filters, and the other half without filters. The researchers found no overall statistically significant difference in acquisition performance due to the use of yellow filters. (Author)
A NOVEL APPROACH FOR EPILEPSY DETECTION USING TIME–FREQUENCY LOCALIZED BI-ORTHOGONAL WAVELET FILTER

Identification of seizure using electroencephalogram (EEG) signal is crucial to detect diseases like epilepsy. Manual epilepsy detection is time consuming and prone to errors. Various techniques have been developed to get quick and accurate results for epilepsy detection. We propose a novel approach to detect epileptic seizure using bi-orthogonal wavelet filters. The bi-orthogonal wavelet filters divide the EEG signal into different sub-bands. Then different features, i.e., Shannon entropy (ShEn), Renyi entropy (RenEn), fractal dimension (FD), energy and fuzzy entropy (FE) are extracted from the sub-bands. The [Formula: see text]-values of the features are used to evaluate the discriminating ability of the features. These features are given as input to the support vector machine (SVM). The EEG signals are then classified into the following classes: (i) normal versus seizure, (ii) seizure-free versus seizure, (iii) normal versus seizure-free versus seizure, and (iv) normal versus seizure-free. We have used two independent datasets: a public dataset for training and validation of the model, and a private dataset for evaluating the model’s performance. The ten-fold cross-validation method is used here to reduce the chances of over fitting. The SVM classifier yielded 100% accuracy in discriminating both seizure-free and normal patients for public dataset, and inter-ictal and ictal for private dataset. It also gave very good classification accuracies for the other classification problems for both the datasets. The proposed method is ready for the clinical trial to be tested with huge databases before the actual practical usage.
GOOD PRACTICES AND FUNDAMENTALS OF NURSING WORK IN THE CONSTRUCTION OF A DEMOCRATIC SOCIETY

Objective: to understand how health service professionals involved in the care of users in psychic distress perceive the organization of the Psychosocial Care Network (RAPS Rede de Atenção Psicossocial) in the western region of the city of São Paulo. Method: qualitative approach study conducted with 123 professionals with higher education who work in the care points of the network. A semi-structured interview was performed and data were submitted to the Alceste program for lexical analysis. Results: the network is in process of alignment with the mental health policy and the psychosocial rehabilitation strategy. However, the weaknesses in the work process of teams are related to defi cits in human resources, structure, and communication, and to the limited appropriation of their guidelines. Final considerations: there are intense efforts of workers to weave the network, and barriers need to be overcome to support successful actions in mental health care in the territory. Descriptors: Mental Health Care; Mental Health Services; Integral Health Care; Mental Health; Health Policy. RESUMO Objetivo: compreender como profi ssionais de serviços de saúde envolvidos no cuidado dos usuários em sofrimento psíquico percebem a organização da Rede de Atenção Psicossocial (RAPS) da região Oeste do Município de São Paulo. Método: abordagem qualitativa realizada com 123 profi ssionais de nível superior que atuam nos pontos de atenção da rede. Realizouse entrevista semiestruturada e os dados foram submetidos ao programa Alceste com aplicação de análise lexical. Resultados: A rede está em processo de alinhamento com a política de saúde mental e estratégia de reabilitação psicossocial. No entanto, há fragilidades no processo de trabalho das equipes relacionadas ao défi cit de recursos humanos, estruturais, de comunicação, e à apropriação limitada sobre suas diretrizes. Considerações fi nais: Compreendeu-se que há intensidade de esforços dos trabalhadores para tecer a rede e que é necessário superar barreiras para fomentar ações exitosas no cuidado em saúde mental no território. Descritores: Assistência à Saúde Mental; Serviços de Saúde Mental; Assistência Integral à Saúde; Saúde Mental; Política de Saúde. RESUMEN Objetivo: comprender como profesionales de servicios de salud involucrados en el cuidado de los usuarios en angustia psicológica perciben la organización de la Red de Atención Psicosocial (RAPS) de la región oeste del Municipio de São Paulo. Método: investigación de enfoque cualitativo realizada con 123 profesionales de nivel superior que actúan en los puntos de atención de la red. Se realizó una entrevista semiestructurada y los datos fueron sometidos al programa Alceste con aplicación de análisis léxico. Resultados: la red está en proceso de alineación con la política de salud mental y la estrategia Weaving the West Psychosocial Care Network of the municipality of São Paulo Tecendo a Rede de Atenção Psicossocial Oeste do município de São Paulo Tejiendo la Red de Atención Psicosocial Oeste del Municipio de São Paulo RESEARCH
Dual-series 2 x 4 switched-beam nolen matrix for fifth generation wireless communication system

A new evolvement towards 5G technology requires a super high frequency to provide large channel capacity, low power consumption and low interference. Up to the present, the passive microwave devices with the super high frequency range are becoming necessity to be deployed due to the great features that are capable in representing significant advances in wireless communications. However, high interference occurs due to multiple signals coexisting in the super high frequency. Integration of switched-beam antenna that employs scanning of multi-beams with a proposed Nolen Matrix can be a solution to overcome this issue. The coupler with loaded T-shaped stubs, loaded stubs and Schiffman phase shifters as well as edge chamfered inset feeding microstrip patch array antenna are designed as the key components for the dual-series 2 x 4 switched-beam Nolen matrix. The loaded Tshaped stubs are introduced at each side of the microstrip lines nearby the square patch of the couplers to achieve various coupling values. All simulation results are obtained using Computer Simulation Technology software. The S-parameter measurement of the proposed couplers and dual-series 2 x 4 switched-beam Nolen matrix are performed using vector network analyzer, while its radiation pattern measurement is executed in an anechoic chamber. The amplitude and phase imbalances are ± 1 dB and 5° between 24.75 GHz and 27.25 GHz for the proposed couplers as well as between 25.75 GHz and 26.25 GHz for the phase shifters, respectively. Whereas, the respective amplitude and phase imbalances of 2 x 4 switched beam Nolen matrix are ± 3.5 dB and 10° across the designated frequency range of 25.75 GHz to 26.25 GHz. Meanwhile, at the center frequency of 26 GHz, the simulated and measured main beam directions are 10° and 12°, respectively when signal is fed at port 1, whereas -31° and -31.5°, respectively at port 2, with the highest measured gain of 10.19 dB and percentage of radiation efficiency of 59.98 %.
Multicomponent prediction of 2‐year mortality and amputation in patients with diabetic foot using a random survival forest model: Uric acid, alanine transaminase, urine protein and platelet as important predictors

Abstract The current methods for the prediction of mortality and amputation for inpatients with diabetic foot (DF) use only conventional, simple variables, which limits their performance. Here, we used a random survival forest (RSF) model and multicomponent variables to improve the prediction of mortality and amputation for these patients. We performed a retrospective cohort study of 175 inpatients with DF who were recruited between 2014 and 2021. Thirty‐one predictors in six categories were considered as potential covariates. Seventy percent (n = 122) of the participants were randomly selected to constitute a training set, and 30% (n = 53) were assigned to a testing set. The RSF model was used to screen appropriate variables for their value as predictors of 2‐year all‐cause mortality and amputation, and a multicomponent prediction model was established. Model performance was evaluated using the area under the curve (AUC) and the Hosmer–Lemeshow test. The AUCs were compared using the Delong test. Seventeen variables were selected to predict mortality and 23 were selected to predict amputation. Uric acid and alanine transaminase were the top two most useful variables for the prediction of mortality, whereas urine protein and platelet were the top variables for the prediction of amputation. The AUCs were 0.913 and 0.851 for the prediction of mortality for the training and testing sets, respectively; and the equivalent AUCs were 0.963 and 0.893 for the prediction of amputation. There were no significant differences between the AUCs for the training and testing sets for both the mortality and amputation models. These models showed a good degree of fit. Thus, the RSF model can predict mortality and amputation in inpatients with DF. This multicomponent prediction model could help clinicians consider predictors of different dimensions to effectively prevent DF from clinical outcomes .
Uracil-DNA glycosylase of murine gammaherpesvirus 68 binds cognate viral replication factors independently of its catalytic residues

ABSTRACT Herpesviruses are large double-stranded DNA viruses that encode core replication proteins and accessory factors involved in nucleotide metabolism and DNA repair. Mammalian uracil-DNA glycosylases (UNG) excise deleterious uracil residues from their genomic DNA. Each herpesvirus UNG studied to date has demonstrated conservation of the enzymatic function to excise uracil residues from DNA. We previously reported that a murine gammaherpesvirus (MHV68) with a stop codon in ORF46 (ORF46.stop) that encodes for vUNG was defective in lytic replication and latency in vivo. However, a mutant virus that expressed a catalytically inactive vUNG (ORF46.CM) had no replication defect unless coupled with additional mutations in the catalytic motif of the viral dUTPase (ORF54.CM). The disparate phenotypes observed in the vUNG mutants led us to explore the non-enzymatic properties of vUNG. Immunoprecipitation of vUNG followed by mass spectrometry in MHV68-infected fibroblasts identified a complex comprising the cognate viral DNA polymerase, vPOL, encoded by ORF9, and the viral DNA polymerase processivity factor, vPPF, encoded by ORF59. MHV68 vUNG co-localized with vPOL and vPPF in subnuclear structures consistent with viral replication compartments. In reciprocal co-immunoprecipitations, the vUNG formed a complex with the vPOL and vPPF upon transfection with either factor alone or in combination. Lastly, we determined that key catalytic residues of vUNG are not required for interactions with vPOL and vPPF upon transfection or in the context of infection. We conclude that the vUNG of MHV68 associates with vPOL and vPPF independently of its catalytic activity. IMPORTANCE Gammaherpesviruses encode a uracil-DNA glycosylase (vUNG) that is presumed to excise uracil residues from viral genomes. We previously identified the vUNG enzymatic activity, but not the protein itself, as dispensable for gammaherpesvirus replication in vivo. In this study, we report a non-enzymatic role for the viral UNG of a murine gammaherpesvirus in forming a complex with two key components of the viral DNA replication machinery. Understanding the role of the vUNG in this viral DNA replication complex may inform the development of antiviral drugs that combat gammaherpesvirus-associated cancers. Gammaherpesviruses encode a uracil-DNA glycosylase (vUNG) that is presumed to excise uracil residues from viral genomes. We previously identified the vUNG enzymatic activity, but not the protein itself, as dispensable for gammaherpesvirus replication in vivo. In this study, we report a non-enzymatic role for the viral UNG of a murine gammaherpesvirus in forming a complex with two key components of the viral DNA replication machinery. Understanding the role of the vUNG in this viral DNA replication complex may inform the development of antiviral drugs that combat gammaherpesvirus-associated cancers.
Modulation of P-Glycoprotein at the Blood-Brain Barrier: Opportunities to Improve Central Nervous System Pharmacotherapy

Pharmacotherapy of central nervous system (CNS) disorders (e.g., neurodegenerative diseases, epilepsy, brain cancer, and neuro-AIDS) is limited by the blood-brain barrier. P-glycoprotein, an ATP-driven, drug efflux transporter, is a critical element of that barrier. High level of expression, luminal membrane location, multispecificity, and high transport potency make P-glycoprotein a selective gatekeeper of the blood-brain barrier and thus a primary obstacle to drug delivery into the brain. As such, P-glycoprotein limits entry into the CNS for a large number of prescribed drugs, contributes to the poor success rate of CNS drug candidates, and probably contributes to patient-to-patient variability in response to CNS pharmacotherapy. Modulating P-glycoprotein could therefore improve drug delivery into the brain. Here we review the current understanding of signaling mechanisms responsible for the modulation of P-glycoprotein activity/expression at the blood-brain barrier with an emphasis on recent studies from our laboratories. Using intact brain capillaries from rats and mice, we have identified multiple extracellular and intracellular signals that regulate this transporter; several signaling pathways have been mapped. Three pathways are triggered by elements of the brain's innate immune response, one by glutamate, one by xenobiotic-nuclear receptor (pregnane X receptor) interactions, and one by elevated β-amyloid levels. Signaling is complex, with several pathways sharing common signaling elements [tumor necrosis factor (TNF) receptor 1, endothelin (ET) B receptor, protein kinase C, and nitric-oxide synthase), suggesting a regulatory network. Several pathways include autocrine/paracrine elements, involving release of the proinflammatory cytokine, TNF-α, and the polypeptide hormone, ET-1. Finally, several steps in signaling are potential therapeutic targets that could be used to modulate P-glycoprotein activity in the clinic.
Retraining procedural programmers: a case against “unlearning”

The retraining of procedural programmers in objectDetienne (1990), expert programmers establish oriented concepts is a widely acknowledged many abstract knowledge structures called schemas concern. Research shows that previously acquired through the practice of programming. Then, when skills cannot be “unlearned”; therefore, the trainer searching for a solution to a new programming task, must consider these existing knowledge schemas these programmers retrieve and utilize the schemas when attempting to retrain experienced which they believe are appropriate for a new programmers. Furthermore, there is potential for problem’s design and implementation. (Refer to both positive and negative transfer of skills from this Soloway and Ehrlich (1984), Scholtz and procedural knowledge to the desired object-oriented Wiedenbeck (1990), and Campbell et al. (in press) knowledge. It is the responsibility of the trainer to for other examples of the influence of programming manage this transfer process by designing a schemas. ) These findings suggest that trainers should retraining program that attempts to discover a not expect procedural programmers to strive to programmer’s existing schemas and to sequence the remove, or “unlearn,” existing schemas. Rather, the concepts in such a way that maximizes the positive programmers are likely to retrieve their proceduraltransfer while minimizing the interference from based knowledge when they are introduced to objectnegative transfer. oriented concepts.
Nonlinear Growth Models in Mplus and SAS

Nonlinear growth curves or growth curves that follow a specified nonlinear function in time enable researchers to model complex developmental patterns with parameters that are easily interpretable. In this article we describe how a variety of sigmoid curves can be fit using the Mplus structural modeling program and the nonlinear mixed-effects modeling procedure NLMIXED in SAS. Using longitudinal achievement data, collected as part of a study examining the effects of preschool instruction on academic gain, we illustrate the procedures for fitting growth models of logistic, Gompertz, and Richards functions. Brief notes regarding the practical benefits, limitations, and choices faced in the fitting and estimation of such models are included.
INSTITUTE OF ECONOMIC STUDIES WORKING PAPER SERIES W 13 : 09 December 2013 Education and Health : Effects of Schooling Reforms on Birth Outcomes in Iceland

This study investigates the effects of schooling on the incidence of preterm birth and low birth weight using a secondary-school reform that took place in 1985 in Iceland. A law change in 1974 immediately affected the structure of Iceland’s secondary school system and was in part implemented in 1985 when one year was added to compulsory schooling. Regression discontinuity analysis was performed on data from the Icelandic Birth Registry to compare births of female cohorts born before and after the school reform. The size of the Icelandic society and the resulting ease at which the reform could be implemented simultaneously for the whole country, along with high quality birth data makes for a good research opportunity. Our main results show that the reform had a very small, statistically significant positive causal effect on birth weight conditional on gestational age, indicating a greater growth of the fetus for the females who were subject to longer mandatory schooling. Former research show ambiguous results, but ours results are in accordance with recent studies on the subject where the effects of education on various health outcomes have been studied. While the effects are small, the results indicate that the human-capital investments made through the school system can be far reaching and extend between generations. JEL Classification: I12, I20, I28, I10
Segmentation by Example

We describe an algorithm for segmenting a novel image based on the available segmentation of another image. The algorithm consists of two stages. In the first stage we construct a locally connected graph to represent the novel image. This graph is obtained by inheriting local connectivity between pixels based on the similarity of small neighborhoods in the two images. In the second stage a graph parititioning algorithm is used to partition the graph and recover the resulting segments in the image. We present experimental results on synthetic and real images and conclude with a discussion of the strengths and limitations of the method.