Miracle-dz/UniFAR-FTUs huggingface dataset:
Parent Stress and Coping in Relation to Child ADHD Severity and Associated Child Disruptive Behavior Problems

Examined parent role distress and coping in relation to childhood attention deficit hyperactivity disorder (ADHD) in mothers and fathers of 66 children age 7 to 11 (42 boys, 24 girls; mean age = 10.2). Parents of children with ADHD combined and inattentive subtypes expressed more role dissatisfaction than parents of control children. Parents of ADHD combined and inattentive type children did not differ significantly in levels of distress. For mothers, child inattention and oppositional-conduct problems but not hyperactivity contributed uniquely to role distress (dissatisfaction related to parenting or parenting performance). For fathers, parenting role distress was associated uniquely with child oppositional or aggressive behaviors but not with ADHD symptom severity. Parent coping by more use of positive reframing (thinking about problems as challenges that might be overcome) was associated with higher role satisfaction for both mothers and fathers. Community supports were associated with higher distress for mothers only.
Neural network approach to blind separation and enhancement of images

In this contribution we propose a new solution for the problem of blind separation of sources (for one dimensional signals and images) in the case that not only the waveform of sources is unknown, but also their number. For this purpose multi-layer neural networks with associated adaptive learning algorithms are developed. The primary source signals can have any non-Gaussian distribution, i.e. they can be sub-Gaussian and/or super-Gaussian. Computer experiments are presented which demonstrate the validity and high performance of the proposed approach.
Ion transport in nanofluidic channels

Theoretical modeling of ionic distribution and transport in silica nanotubes, 30 nm in diameter and 5 μm long, suggest that when the diameter is smaller than the Debye length, a unipolar solution of counterions is created within the nanotube and the colons are electrostatically repelled. By locally modifying the surface charge density through a gate electrode, the ion concentration can be depleted under the gate and the ionic current can be significantly suppressed. It is proposed that this could form the basis of a unipolar ionic field-effect transistor.
How Teachers and Schools Contribute to Racial Differences in the Realization of Academic Potential

Background/Context The fulfillment of academic potential is an underdeveloped area of inquiry as it relates to explaining racial differences in academic outcomes. Examining this issue is important for addressing not only differences in the typical outcomes for African American and White students but also the severe underrepresentation of African American students among the highest achieving students. Whereas other studies have operationalized lost academic potential as unfulfilled expectations for educational attainment, this study takes a different approach, measuring whether students earn higher or lower grades than the grades predicted by earlier tests of academic skills. Students whose grades are equal to or exceed those predicted by their earlier test scores are said to have fulfilled their academic potential, whereas those whose grades are lower than predicted have not realized their potential. Purpose/Objective/Research Question/Focus of Study This study finds that African American high school students are less likely than their White peers to realize their academic potential. The analyses test several explanations for the racial gap in the realization of academic potential, focusing on the students themselves, their teachers, and their schools. Research Design This study uses hierarchical linear modeling to analyze data from the Education Longitudinal Study of 2002. Conclusions/Recommendations The results suggest that teachers perceive African American students as exerting less classroom effort than White students, which accounts for a substantial proportion of the racial gap in unrealized academic potential, even with several student characteristics held constant. At the school level, there are larger racial gaps in unrealized academic potential in segregated schools and schools with strict disciplinary climates. Strikingly, the negative effect of strict disciplinary climate exists net of students’ own receipt of disciplinary actions. That is, the negative association between strict disciplinary climate and the realization of academic potential for African American students applies to African American students regardless of whether they themselves have been in trouble at school. This study reveals that characteristics of schools that lack immediately obvious racial implications, such as a school's approach to student discipline, may be just as harmful as overtly racialized inequality within and between schools.
Effectiveness of individual and group interventions for people with type 2 diabetes1

OBJECTIVE: to compare the effectiveness of two educational interventions used by a healthcare provider in the monitoring of individuals with type 2 diabetes mellitus (T2DM), regarding knowledge of the disease, impact on quality of life and adoption of self-care actions. METHODS: comparative, longitudinal, prospective study performed with 150 subjects with type 2 diabetes, analyzed according to the type of participation in the program (individual and/or group). Participants of the individual intervention (II) received nursing consultations every six months and those of the group intervention (GI) took part in weekly meetings for three months. Data were collected through four questionnaires: Identification questionnaire, Problem Areas in Diabetes Questionnaire (PAID), Summary of Diabetes Self-Care Activities Questionnaire (SDSCA) and the Diabetes Knowledge Scale (DKN-A). Data were analyzed using the Friedman and Mann Whitney tests, considering a statistical significance of p ≤ 0.05. RESULTS: there was an increase in knowledge about the disease in the II (p<0.003) and GI (p<0.007), with reduction of the impact on the quality of life in the II (p<0.007) and improvement in self-care actions in the GI (p<0.001). CONCLUSION: in both intervention models improvements were observed in the indicators, over the six month monitoring period.
Symmetry Breaking in Escaping Ants

The phenomenon of herding is a very general feature of the collective behavior of many species in panic conditions, including humans. It has been predicted theoretically that panic‐induced herding in individuals confined to a room can produce a nonsymmetrical use of two identical exit doors. Here we demonstrate the existence of that phenomenon in experiments, using ants as a model of pedestrians. We show that ants confined to a cell with two symmetrically located exits use both exits in approximately equal proportions to abandon it in normal conditions but prefer one of the exits if panic is created by adding a repellent fluid. In addition, we are able to reproduce the observed escape dynamics in detail using a modification of a previous theoretical model that includes herding associated with a panic parameter as a central ingredient. Our experimental results, combined with theoretical models, suggest that some features of the collective behavior of humans and ants can be quite similar when escaping under panic.
Optimal strategies and complexity: A theoretical analysis of the anti-predatory behavior of the hare

Predator—prey relationships involving rabbits and hares are widely studied at a long-term population level, while the short-term ethological interactions between one predator and one prey are less well documented. We use a physiologically-based model of hare behavior, developed in the framework of artificial intelligence studies, to analyse its sophisticated anti-predatory behavior. The hares use to stand to the fox in order to inform it that its potential prey is alerted. The behavior of the hare is characterized by specific standing and flushing distances. We show that both hare survival probability and body condition depend on habitat cover, as well as on the ability of the predator to approach—undetected—a prey. We study two anti-predatory strategies, one based on the maximization of the survival probability and the other on the maximization of the body conditions of the hare. Despite the fact that the two strategies are not independent, they are characterized by quite different behavioral patterns. Field estimates of flushing and standing distances are consistent with survival maximization. There exists an optimal anti-predatory strategy, characterized by a flushing distance of 20 m and a standing distance of 30 m, which is optimal in a large set of environmental conditions with a sharp fitness advantage with respect to suboptimal strategies. These results improve our understanding of the anti-predatory behavior of the hare and lend credibility to the optimality approach in the behavioral analysis, showing that even for complex organisms, characterized by a large network of internal constraints and feedback, it is possible to identify simple optimal strategies with a large potential for selection.
A Geometric Probability Model for Capacity Analysis and Interference Estimation in Wireless Mobile Cellular Systems

Performance metrics in cellular systems, such as per-user link capacity and co-channel interference, are dependent on the statistical distances between communicating nodes. An analytical model based on geometric probability in cellular systems is presented here for capacity analysis and interference estimation. We first derive the closed-form distance distribution between cellular base stations and mobile users, giving the explicit probability density functions of the distance from a base station to an arbitrary user in the same hexagonal cell, or to the users in adjacent cells. Different from numerical methods or approximation, and the existing approaches in geometric probability, this unified approach provides explicit distribution functions that can lead to all statistical moments, and is not limited by coordinate distributions, either of base stations or subscribers. Analytical results on per-user link capacity and co-channel interference are derived and validated through simulation, which shows the high accuracy and promising potentials of this approach.
Vehicle Scrappage and Gasoline Policy

We estimate the sensitivity of scrap decisions to changes in used car values - the "scrap elasticity" - and show how it influences used car fleets under policies aimed at reducing gasoline use. Large scrap elasticities will tend to produce emissions leakage under efficiency standards as the longevity of used vehicles is increased, a process known as the Gruenspecht effect. To explore the magnitude of this leakage we assemble a novel dataset of U.S. used vehicle registrations and prices, which we relate through time via differential effects in gasoline cost: A gasoline price increase or decrease of $1 alters the number of fuel-efficient vs. fuel-inefficient vehicles scrapped by 18%. These relationships allow us to provide what we believe are the first estimates of the scrap elasticity itself, which we find to be about -0.7. When applied in a model of fuel economy standards, the elasticities we estimate suggest that 13-23% of the expected fuel savings will leak away through the used vehicle market. This considerably reduces the cost-effectiveness of the standard, rivaling or exceeding the importance of the often-cited mileage "rebound" effect.
FGF21 as a Hepatokine, Adipokine, and Myokine in Metabolism and Diseases

Fibroblast growth factor (FGF) family members are mostly secreted as signaling proteins with diverse functions in development and metabolism. FGF21 is a unique FGF with metabolic, but not proliferative activities. FGF21 is mostly induced by different kinds of stress and acts though FGF receptor 1c with β-Klotho as a cofactor in an endocrine or, in parts, autocrine/paracrine manner. Hepatic FGF21 directly acts on white adipocytes to inhibit lipolysis and acts through the brain to increase systemic glucocorticoid levels and suppress physical activity in response to starvation. It also protects against dioxin toxicity. Adipocytic FGF21 induces the browning of white adipose tissue (WAT) and activates brown adipocytes in response to cold exposure. It also acts as an upstream effector of adiponectin in white adipocytes. Myocytic FGF21 protects against diet-induced obesity and insulin resistance, induces the browning of WAT, and protects against cardiac hypertrophy. In addition, Fgf21 polymorphisms are possibly related with metabolic diseases and FGF21 are biomarker of metabolic diseases. These findings indicate that FGF21 plays roles as a hepatokine, adipokine, and myokine in metabolism, injury protection, and diseases.
Understanding animal flight with three-dimensional and infrared computer vision: invited keynote talk

Analysis of bird and bat flight with computer vision algorithms provides a new perspective on how animals move through three-dimensional space. This is important for understanding the intricacies of flight and the interactions of airborne animals that fly in groups. Results can be applied to a large array of tasks, for example, bio-inspired engineering of airplanes [3] and censusing of populations of bats [1], [2], [6]. Censusing populations of bats is imperative for quantifying the ecological and economic impact of these animals on terrestrial ecosystems [5]. Colonies of Brazilian free-tailed bats are of particular interest because they represent some of the largest aggregations of mammals known to mankind. It is challenging to census these bats accurately, since they emerge in large numbers at night from their day-time roosting sites. We have used infrared thermal cameras to record Brazilian free-tailed bats in California, Massachusetts, New Mexico, and Texas, and developed automated image analysis methods that detect, track, and count emerging bats [1]. We have developed guidelines of camera setup and calibration procedures in the field [7]. Our computer vision algorithms use stereography to analyze the three-dimensional flight paths of bats and birds. Our techniques include detection of individual animals in each camera view, reconstruction of their positions in three-dimensional space, across-time and across-space data association and multiple-object tracking [3], [8]-[11]. We found that six colonies of Brazilian free-tailed bats in the southwestern United States may have plummeted from 54 million members to 4 million since 1957 [2]. Analysis of emergence flights from dusk through darkness also revealed patterns in group behavior. Flow patterns of bats during emergence flights exhibited characteristic single or multiple episodes. A consistent rhythmic pattern of flow episodes and pauses was revealed across colonies and was independent of emergence tempo.
Neutrophil elastase inhibitors as treatment for COPD

Chronic obstructive pulmonary disease, characterised by a slowly progressive, irreversible airways limitation, is a major worldwide cause of chronic morbidity and mortality. The imbalance between human neutrophil elastase and endogenous antiproteases may cause excess human neutrophil elastase in pulmonary tissues, which may be considered a major pathogenic factor in chronic obstructive pulmonary disease. Great effort has been devoted to finding a method to restore the balance, resulting in the discovery of potent two-typed small-molecular-weight human neutrophil elastase inhibitors. In the application of chronic obstructive pulmonary disease therapy, the human neutrophil elastase inhibitors mainly focused upon include ONO-5046, MR-889, L-694,458, CE-1037, GW-311616 and TEI-8362 as the acyl-enzyme inhibitors; and ONO-6818, AE-3763, FK-706, ICI-200,880, ZD-0892 and ZD-8321 as the transition-state inhibitors. In this review, various problems that remain to be solved in the clinical use of human neutrophil elastase inhibitors are discussed.
The Case for TAAR1 as a Modulator of Central Nervous System Function

TAAR1 is widely expressed across the mammalian brain, particularly in limbic and monoaminergic areas, allegedly involved in mood, attention, memory, fear, and addiction. However, the subcellular distribution of TAAR1 is still unclear, since TAAR1 signal is largely intracellular. In vitro, TAAR1 is activated with nanomolar to micromolar affinity by some endogenous amines, particularly p-tyramine, beta-phenylethylamine, and 3-iodothyronamine (T1AM), the latter representing a novel branch of thyroid hormone signaling. In addition, TAAR1 responds to a number of psychoactive drugs, i.e., amphetamines, ergoline derivatives, bromocriptine and lisuride. Trace amines have been identified as neurotransmitters in invertebrates, and they are considered as potential neuromodulators. In particular, beta-phenylethylamine and p-tyramine have been reported to modify the release and/or the response to dopamine, norepinephrine, acetylcholine and GABA, while evidence of cross-talk between TAAR1 and other aminergic receptors has been provided. Systemic or intracerebroventricular injection of exogenous T1AM produced prolearning and antiamnestic effects, reduced pain threshold, decreased non-REM sleep, and modulated the firing rate of adrenergic neurons in locus coeruleus. However each of these substances may have additional molecular targets, and it is unclear whether their endogenous levels are sufficient to produce significant TAAR1 activation in vivo. TAAR1 knock out mice show a worse performance in anxiety and working memory tests, and they are more prone to develop ethanol addiction. They also show increased locomotor response to amphetamine, and decreased stereotypical responses induced by apomorphine. Notably, human genes for TAARs cluster on chromosome 6 at q23, within a region whose mutations have been reported to confer susceptibility to schizophrenia and bipolar disorder. For human TAAR1, around 200 non-synonymous and 400 synonymous single nucleotide polymorphisms have been identified, but their functional consequences have not been extensively investigated yet. In conclusion, the bulk of evidence points to a significant physiological role of TAAR1 in the modulation of central nervous system function and a potential pharmacological role of TAAR1 agonists in neurology and/or psychiatry. However, the specific effects of TAAR1 stimulation are still controversial, and many crucial issues require further investigation.
Opioid System Modulates the Immune Function: A Review

Opioid receptors and their ligands produce powerful analgesia that is effective in perioperative period and chronic pain managements accompanied with various side effects including respiratory depression, constipation and addiction etc. Opioids can also interfere with the immune system, not only participating in the function of the immune cells, but also modulating innate and acquired immune responses. The traditional notion of opioids is immunosuppressive. Recent studies indicate that the role of opioid receptors on immune function is complicated, working through various different mechanisms. Different opioids or opioids administrations show various effects on the immune system: immunosuppressive, immunostimulatory, or dual effect. It is important to elucidate the relationship between opioids and immune function, since immune system plays critical role in various physiological and pathophysiological processes, including the inflammation, tumor growth and metastasis, drug abuse, and so on. This review article tends to have an overview of the recent work and perspectives on opioids and the immune function.
Nonmyopic Informative Path Planning in Spatio-Temporal Models

In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environment, gathering information every hour. In a wireless sensor network, these tours correspond to packets being transmitted. In these settings, we are often faced with resource restrictions, like energy constraints. The users issue queries with certain expectations on the answer quality. Thus, we must optimize the tours to ensure the satisfaction of the user constraints, while at the same time minimize the cost of the query plan. For a single timestep, this optimization problem is NP-hard, but recent approximation algorithms with theoretical guarantees provide good solutions. In this paper, we present a new efficient algorithm, exploiting dynamic programming and submodularity of the information collected, that efficiently plans data collection tours for an entire (finite) horizon. Our algorithm can use any single step procedure as a black box, and, based on its properties, provides strong theoretical guarantees for the solution. We also provide an extensive empirical analysis demonstrating the benefits of nonmyopic planning in two real world sensing applications.
Construction of a Taxonomy for Requirements Engineering Commercial-Off-The-Shelf Components

This article presents a procedure for constructing a taxonomy of COTS products in the field of Requirements Engineering (RE). The taxonomy and the obtained information reach transcendental benefits to the selection of systems and tools that aid to RE-related actors to simplify and facilitate their work. This taxonomy is performed by means of a goal-oriented methodology inspired in GBRAM (Goal-Based Requirements Analysis Method), called GBTCM (Goal-Based Taxonomy Construction Method), that provides a guide to analyze sources of information and modeling requirements and domains, as well as gathering and organizing the knowledge in any segment of the COTS market. GBTCM claims to promote the use of standards and the reuse of requirements in order to support different processes of selection and integration of components.
Using external sources of bilingual information for on-the-fly word alignment

In this paper we present a new and simple language-independent method for word-alignment based on the use of external sources of bilingual information such as machine translation systems. We show that the few parameters of the aligner can be trained on a very small corpus, which leads to results comparable to those obtained by the stateof-the-art tool GIZA++ in terms of precision. Regarding other metrics, such as alignment error rate orF -measure, the parametric aligner, when trained on a very small gold-standard (450 pairs of sentences), provides results comparable to those produced by GIZA++ when trained on an in-domain corpus of around 10,000 pairs of sentences. Furthermore, the results obtained indicate that the training is domain-independent, which enables the use of the trained aligner on the y on any new pair of sentences.
Impact of Spatial Reference Frames on Human Performance in Virtual Reality User Interfaces

The design of virtual reality user interfaces (VRUI) is still an open field of research and development. One category of VRUI is the 3D floating menus that can be manipulated by users in free space. These menus can contain various controls such as buttons, sliders, and text. This article presents an experimental study that aims at testing the impact of five spatial reference frames on human performance with VRUI. Fifteen subjects participated in the study. Wearing a head-mounted display (HMD) and tracking hardware, they were asked to move a slider on a floating menu in a 3D virtual space. The menus were completely virtual such that no physical surface was providing haptic feedback to the user. Main results show that the reference frame has a determinant impact on task execution time, positional accuracy and user preference. We also found a link between the number of degrees of freedom shared between these reference frame and user performance. Results also show that user preference can greatly differ from experimental results obtained by measuring task completion times and positional accuracy.