Miracle-dz/UniFAR-FTUs huggingface dataset:
Feasibility of an Autism-Focused Augmented Reality Smartglasses System for Social Communication and Behavioral Coaching

Background Autism spectrum disorder (ASD) is a childhood-onset neurodevelopmental disorder with a rapidly rising prevalence, currently affecting 1 in 68 children, and over 3.5 million people in the United States. Current ASD interventions are primarily based on in-person behavioral therapies that are both costly and difficult to access. These interventions aim to address some of the fundamental deficits that clinically characterize ASD, including deficits in social communication, and the presence of stereotypies, and other autism-related behaviors. Current diagnostic and therapeutic approaches seldom rely on quantitative data measures of symptomatology, severity, or condition trajectory. Methods Given the current situation, we report on the Brain Power System (BPS), a digital behavioral aid with quantitative data gathering and reporting features. The BPS includes customized smartglasses, providing targeted personalized coaching experiences through a family of gamified augmented-reality applications utilizing artificial intelligence. These applications provide children and adults with coaching for emotion recognition, face directed gaze, eye contact, and behavioral self-regulation. This preliminary case report, part of a larger set of upcoming research reports, explores the feasibility of the BPS to provide coaching in two boys with clinically diagnosed ASD, aged 8 and 9 years. Results The coaching intervention was found to be well tolerated and rated as being both engaging and fun. Both males could easily use the system, and no technical problems were noted. During the intervention, caregivers reported improved non-verbal communication, eye contact, and social engagement during the intervention. Both boys demonstrated decreased symptoms of ASD, as measured by the aberrant behavior checklist at 24-h post-intervention. Specifically, both cases demonstrated improvements in irritability, lethargy, stereotypy, hyperactivity/non-compliance, and inappropriate speech. Conclusion Smartglasses using augmented reality may have an important future role in helping address the therapeutic needs of children with ASD. Quantitative data gathering from such sensor-rich systems may allow for digital phenotyping and the refinement of social communication constructs of the research domain criteria. This report provides evidence for the feasibility, usability, and tolerability of one such specialized smartglasses system.
The immune theory of psychiatric diseases: a key role for activated microglia and circulating monocytes

This review describes a key role for mononuclear phagocytes in the pathogenesis of major psychiatric disorders. There is accumulating evidence for activation of microglia (histopathology and PET scans) and circulating monocytes (enhanced gene expression of immune genes, an overproduction of monocyte/macrophage‐related cytokines) in patients with bipolar disorder, major depressive disorder, and schizophrenia. These data are strengthened by observations in animal models, such as the MIA models, the chronic stress models, and the NOD mouse model. In these animal models of depressive‐, anxiety‐, and schizophrenia‐like behavior, similar activations of microglia and circulating monocytes can be found. These animal models also make in‐depth pathogenic studies possible and show that microglia activation impacts neuronal development and function in brain areas congruent with the altered depressive and schizophrenia‐like behaviors.
Performance analysis of intrusion detection system using various neural network classifiers

In recent years, the security has become a critical part of any organizational information systems. The intrusion detection system is an effective approach to deal with the problems of networks using various neural network classifiers. In this paper, the performance of intrusion detection with various neural network classifiers is compared. In the proposed research the three types of classifiers used are Feed Forward Neural Network (FFNN), Probabilistic Neural Network (PNN) and Radial Basis Neural Network (RBNN). In this problem, the feature reduction techniques are used to a given KDD Cup 1999 dataset [1]. The performance of the full featured KDD Cup 1999 dataset is compared with that of the reduced featured KDD Cup 1999 dataset. The MATLAB software is used to train and test the dataset and the efficiency is measured [2]. Using the above said technique, it is proved that the reduced dataset is performing better than the full featured dataset.
Incremental Centering and Center Ambiguity

In this paper, we present a model of anaphor resolution within the framework of the centering model. The consideration of an incremental processing mode introduces the need to manage structural ambiguity at the center level. Hence, the centering framework is further refined to account for local and global parsing ambiguities which propagate up to the level of center representations, yielding moderately adapted data structures for the centering algorithm.
Optimization of a Contextual Conditioning Protocol for Rats Using Combined Measurements of Startle and Freezing

Contextual conditioning in rats is typically quantified using startle amplitude or freezing time. Our goal was to create a robust contextual conditioning protocol combining both anxiety measures. Comparison of ten 0.8 mA – 250 ms shocks with an established shock configuration (0.3 mA – 1 s) favoured the first parameters. Next, we systematically investigated the effect of shock intensity (0.6 mA, 0.8 mA or 1.0 mA) and concurrently compared two conditioning procedures (shocks alone versus explicitly unpaired shocktone presentations). The 0.8 mA shocks produced significant contextual freezing and startle potentiation, whereas the 0.6 mA and 1.0 mA shocks only led to a significant increase of freezing time. We found no major differences between the two types of conditioning, implying that these procedures might be equivalent. In conclusion, training with ten 0.8 mA – 250 ms shocks produced reliable contextual conditioning as measured with both startle amplitude and freezing time.
GOING TOO FAR? EXPLORING THE LIMITS OF SMOKING REGULATIONS

I. RISKS ARISE FROM CHRONIC EXPOSURE.1609 II. IS TOBACCO SMOKE ANY MORE TOXIC THAN SMOKE FROM OTHER SOURCES OF BURNT BIOMASS? 1612 III. WHAT PROBLEMS WOULD ARISE FOR PUBLIC HEALTH POLICY IF AN ABSOLUTE ZERO TOLERANCE POLICY WAS ADOPTED FOR SECONDHAND SMOKE? 1614 IV. PSYCHOGENIC EXPLANATIONS OF CLAIMED HARMS FROM LOW-LEVEL SHS EXPOSURES.1617
INTERPRETIVE LATENT SEMANTIC ANALYSIS

In this paper we propose to address a recurrent issue of LSA: the difficulty to interpret factors. We use an Interpretive Semantics approach to rethink LSA and propose a new framework for textual semantic analysis taking into account the necessary tradeoffs between human workload and efficiency. I. INTRODUCTION Interpretation is a human activity not mechanizable. From an interpretive point of view reading a text is not reading a sequence of sentences as a computer program reads a sequence of instructions, it is rather an interpretative trajectory, a succession of operations that allow one to assign one or more meaning to a linguistic sequence. Successful endeavours like Google search engine aim at capturing traces of interpretations; hyperlinks for Google, buying behaviours for Amazon. Yahoo's early success was first due to interesting human classifications of sites by subjects. The Amazon Mechanical Turk 1 is a sign there are clearly things which can be done only by humans: those requiring interpretations. Capturing interpretations in text is a major issue. Latent Semantic Analysis is not an exception of this state of fact. We present here an Interpretive Latent Semantic Analysis (ILSA) of texts. In the first section we briefly present the Interpretive Semantics theory and its link with the Gestalt theory. The second section describes our interpretive approach of LSA. We show in the third section how ILSA can be used to give an interpretation of "The heart of darkness". The fourth section concludes by a discussion on the method and further developments.
Discovering Patterns With Weak-Wildcard Gaps

Time series analysis is an important data mining task in areas such as the stock market and petroleum industry. One interesting problem in knowledge discovery is the detection of previously unknown frequent patterns. With the existing types of patterns, some similar subsequences are overlooked or dissimilar ones are matched. In this paper, we define patterns with weak-wildcard gaps to represent subsequences with noise and shift, and design efficient algorithms to obtain frequent and strong patterns. First, we convert a numeric time series into a sequence according to the data fluctuation. Second, we define the pattern mining with weak-wildcard gaps problem, where a weak-wildcard matches any character in an alphabet subset. Third, we design an Apriori-like algorithm with an efficient pruning technique to obtain frequent and strong patterns. Experimental results show that our algorithm is efficient and can discover frequent and strong patterns.
Agent Driven Ubiquitous Mobility

Coexistence of cellular and WiFi networks is an inescapable fact. Current initiatives that address mobility across these networks are cellular centric. Further they are limited to connection mobility restricting user service experience. The application session is bound to the constrained portable device used to establish the connection. The result is sub-optimal solutions that have limited user uptake. This paper defines a novel approach to mobility. An agent is installed on the user access device to act as a client proxy. Application sessions are initiated through the agent enabling the agent to maintain session state information. The session can then be transferred to another device preferred by the user when he roams into another access network. The concept is demonstrated with a prototype embedding the several functionalities required to achieve seamless session mobility. Simulation results establish the ease of session restoration at a new device. The utility of the proposal is investigated using micro-economic frameworks
Assessment methodologies in sleep medicine clinical trials

Clinical trials in sleep medicine cover a wide range of sleep–wake problems, and accordingly the selection of outcome measures in sleep medicine clinical trials needs to be tailored to the specific disorder under examination. This review describes the measures most commonly used in sleep medicine clinical trials, weighing the relative merits of a self-report questionnaire versus a physiologic test as the a priori primary outcome measures.
CloudWhip : A Tool for Provisioning Cyber Security Labs in the Amazon Cloud

Many traditional techniques of teaching cybersecurity lack realistic environments to gain practical experience. In this paper we present CloudWhip, an open source framework to assist educators with the creation of security labs on Amazon Cloud Services. CloudWhip is developed to be accessible to even those people new to IaaS. We have successfully implemented various network security labs over a three year period in the cloud and our results suggest that the application of cloud computing in cybersecurity education not only saves costs, but also relieves the educational institutions of the burden of handling and maintaining complex IT Infrastructure. Cloud also better emulates managed IT service environments which is essential for SCADA security education. Our lab modules have initiated interest among students and spurred other faculty to conduct numerous security projects using Cloud services.
THE INFLUENCE OF TIDAL AND RAINFALL CYCLES ON INTERTIDAL NEMATODES: A CASE STUDY IN A TROPICAL SANDY BEACH

O presente estudo descreve a associacao de nematodeos da Baia de Tamandare (Brasil), praia arenosa tropical tipica, durante as mares (baixa, enchente, alta e vazante) de dois ciclos de mare consecutivos, em quatro meses diferentes do ano (Maio, Julho, Setembro e Novembro). A associacao de nematodeos foi dominada por Metachromadora e Perepsilonema e variou significativamente entre meses e mares. Densidades foram mais baixas em julho e as mudancas na associacao ocorreram durante meses de transicao entre chuvoso e seco mostrando a influencia do ciclo de chuvas. No ciclo de mare a enchente e vazante pareceram exercer a maior influencia, embora os padroes nao fossem muito claros. Recomenda-se que os estudos devam ser feitos ao nivel de generos/especies para melhor compreensao dos padroes das associacoes de nematodeos durante ciclos de mares.
Extraction of Specific Nursing Terms Using Corpora Comparison

The purpose of the study is to develop and evaluate a bottom-up approach to extract the specific nursing terms from textual nursing records using corpora comparison. A nursing records corpus was developed as the target corpus, and a newspaper corpus and a medical literature abstracts corpus were developed as the reference corpora. Two filters were established to extract the technical terms and the relative frequency ratio was used for corpora comparison. The issues related to the improvement of both the algorithms and the evaluation methods were discussed.
RUNNING HEAD: THE COACH - ATHLETE RELATIONSHIP QUESTIONNAIRE The Coach - Athlete Relationship Questionnaire (CART - Q): Development and Initial Validation

The purpose of the present study was to develop and validate a self-report instrument that measures the nature of the coach – athlete relationship. Jowett and colleagues’ (Jowett & Meek, 2000; Jowett, in press) qualitative case studies and relevant literature were used to generate items for an instrument that measures affective, cognitive and behavioral aspects of the coach – athlete relationship. Two studies were carried out in an attempt to assess content, predictive, and construct validity, as well as internal consistency, of the Coach – Athlete Relationship Questionnaire (CART – Q), using two independent British samples. Principal component analysis and confirmatory factor analysis were used to reduce the number of items, identify principal components, and confirm the latent structure of the CART – Q. Results supported the multi-dimensional nature of the coach – athlete relationship. The latent structure of the CART Q was underlined by the latent variables of coaches’ and athletes’ Closeness (emotions), Commitment (cognitions), and Complementarity (behaviors).
The adolescent brain: implications for the understanding, pathophysiology, and treatment of schizophrenia.

The typical onset of schizophrenia during the transition from late adolescence to adulthood is one its central features. However, the neurodevelopmental hypothesis of schizophrenia has largely focused on the contribution of early development events. In this issue, we summarize data from a range of perspectives that emphasize the profound modifications occurring in anatomy, physiology, and functional properties of cortical networks during adolescence that may be important for the emergence of psychosis, enduring cognitive, and physiological deficits as well as for the treatment and prevention of the disorder. The contributions by Hoftman and Lewis 1 and O’Donnell 2 show major modifications in GABAergic, glutamatergic, and dopaminergic neurotransmission and their interactions during the adolescent period that may be abnormal in schizophrenia. Gogtay et al. 3 highlight data from longitudinal anatomical imaging studies that have examined the trajectory of brain maturation in childhood-onset schizophrenia (COS) and in subjects at ultrahigh risk (UHR). Their findings converge on the possibility that in schizophrenia, there is an excess pruning of synaptic contacts during adolescence that leads to reductions in gray matter (GM) volume. The consequences of the co-occurring changes in anatomy and transmitter systems for properties of large-scale cortical networks arediscussedbyUhlhaasandSinger. 4 Theyhighlightthat precisely synchronized neural oscillations emerge only during late adolescence. Accordingly, in schizophrenia, there may be a failure to express important neural synchrony parameters during adolescence, causing the emergence of psychosis as well as contributing to cognitive deficits. The commentary by McGorry 5 discusses the
Lateral Allosterism in the Glucagon Receptor Family: Glucagon-Like Peptide 1 Induces G-Protein-Coupled Receptor Heteromer Formation

Activation of G-protein-coupled receptors (GPCRs) results in a variety of cellular responses, such as binding to the same receptor of different ligands that activate distinct downstream cascades. Additional signaling complexity is achieved when two or more receptors are integrated into one signaling unit. Lateral receptor interactions can allosterically modulate the receptor response to a ligand, which creates a mechanism for tissue-specific fine tuning, depending on the cellular receptor coexpression pattern. GPCR homomers or heteromers have been explored widely for GPCR classes A and C but to lesser extent for class B. In the present study, we used bioluminescence resonance energy transfer (BRET) techniques, calcium flux measurements, and microscopy to study receptor interactions within the glucagon receptor family. We found basal BRET interactions for some of the receptor combinations tested that decreased upon ligand binding. A BRET increase was observed exclusively for the gastric inhibitory peptide (GIP) receptor and the glucagon-like peptide 1 (GLP-1) receptor upon binding of GLP-1 that could be reversed with GIP addition. The interactions of GLP-1 receptor and GIP receptor were characterized with BRET donor saturation studies, shift experiments, and tests of glucagon-like ligands. The heteromer displayed specific pharmacological characteristics with respect to GLP-1-induced β-arrestin recruitment and calcium flux, which suggests a form of allosteric regulation between the receptors. This study provides the first example of ligand-induced heteromer formation in GPCR class B. In the body, the receptors are functionally related and coexpressed in the same cells. The physiological evidence for this heteromerization remains to be determined.
Effectiveness of hand hygiene education among a random sample of women from the community

Summary Objective. The effectiveness of hand hygiene education was investigated by studying the hand hygiene awareness and bacterial hand contamination among a random sample of 170 women in the community. Methods. Questionnaire was used to assess the hand hygiene awareness score, followed by swabbing of the dominant hand. Bacterial identification was done by conventional biochemical tests. Results. Better hand hygiene awareness score was significantly associated with age, scarce bacterial growth and absence of potential pathogen (p < 0.05). Out of the 170 hand samples, bacterial growth was noted in 155 (91.2%), which included 91 (53.5%) heavy growth, 53 (31.2%) moderate growth and 11 (6.47%) scanty growth. The presence of enteric bacteria was associated with long nails (49.4% vs 29.2%; p = 0.007; OR = 2.3; 95% CI: 1.25-4.44) while finger rings were associated with higher bacterial load (p = 0.003). Coliforms was significantly higher among women who had a lower hand hygiene awareness score, washed their hands at lower frequency (59.0% vs 32.8%; p = 0.003; OR = 2.9; 95% CI: 1.41-6.13) and used common soap as compared to antiseptic soaps (69.7% vs 30.3%, p = 0.000; OR = 4.11; 95% CI: 1.67-10.12). Conclusions. Level of hand hygiene awareness among the participants was satisfactory but not the compliance of hand washing practice, especially among the elders.
Development of an Inertial Motion Capture System for Clinical Application

Abstract The ability to capture human motion based on wearable sensors has a wide range of applications, e.g., in healthcare, sports, well-being, and workflow analysis. This article focuses on the development of an online-capable system for accurately capturing joint kinematics based on inertial measurement units (IMUs) and its clinical application, with a focus on locomotion analysis for rehabilitation. The article approaches the topic from the technology and application perspectives and fuses both points of view. It presents, in a self-contained way, previous results from three studies as well as new results concerning the technological development of the system. It also correlates these with new results from qualitative expert interviews with medical practitioners and movement scientists. The interviews were conducted for the purpose of identifying relevant application scenarios and requirements for the technology used. As a result, the potentials of the system for the different identified application scenarios are discussed and necessary next steps are deduced from this analysis.
Elastic property attributes to photoacoustic signals: an experimental phantom study.

We report an experimental study that shows the attribution of the elastic property of light absorbing targets to the generation of ultrasound signals induced due to the photoacoustic effect. We investigated the variation in strength of the detected photoacoustic signals for various targets embedded in a background phantom with: (1) different elastic coefficients (94-346 kPa) and (2) various sizes (0.25-1.5 mm²). The results show that photoacoustic signals increase with an increase in elastic coefficient (i.e., showing to contrast in elastic property) while it is independent of variation in target sizes. Quantitative (analysis) study, and 2D and 3D reconstructed images are also presented. This study demonstrates the feasibility of imaging elastic property using photoacoustic technique.
Hyperactive night and day? Actigraphy studies in adult ADHD: a baseline comparison and the effect of methylphenidate.

STUDY OBJECTIVES To investigate parameters of sleep, activity, and circadian rhythm, as well as the effects of methylphenidate on these variables, in adults with ADHD. DESIGN 1) Baseline group comparison; 2) Double blind, placebo-controlled, cross-over medication trial. SETTING Data collection took place during daily lives of participants. PARTICIPANTS 39 normal controls and 33 adults with ADHD for baseline comparisons; 31 adults with ADHD in medication trial. INTERVENTIONS Treatment with placebo and methylphenidate during medication trial. MEASUREMENTS AND RESULTS Actigraphy and sleep log data were collected for 7 consecutive nights and days to obtain baseline values for ADHD and normal controls. Repeated measurements during placebo and methylphenidate treatment were conducted for the ADHD group. Actigraphic sleep estimates showed that ADHD subjects took longer to fall asleep, had lower sleep efficiency, and had shorter within-night periods of uninterrupted sleep. These findings were consistent with subjective complaints. Actigraphic measures of ADHD subjects showed continuously elevated daytime activity levels, resulting in a 24-hour pattern that was more stable and less variable than in controls. Methylphenidate led to a later bedtime, later sleep onset, and reduction in sleep duration. However, number and total duration of nocturnal awakenings decreased, while mean duration of within-night periods of uninterrupted sleep increased, indicating more consolidated sleep. CONCLUSIONS Our data suggest that sleep problems are inherent in adults with ADHD and that methylphenidate reduced total sleep time but improved sleep quality by consolidating sleep.