Miracle-dz/UniFAR-FTUs huggingface dataset:
Sympathetic Nervous System Activity in Preschoolers Who Stutter

Background In our Dynamic Pathways, account, we hypothesized that childhood stuttering reflects an impairment in speech sensorimotor control that is conditioned by cognitive, linguistic, and emotional factors. The purpose of this study was to investigate potential differences in levels of sympathetic arousal during performance of speech and non-speech tasks between children who do and do not stutter. Methods Seventy-two preschool-aged children participated in the study, 47 children who stutter (CWS; 38 boys) and 25 children who do not stutter (CWNS; 18 boys). We recorded skin conductance and blood pulse volume (BPV) signals, indices of sympathetic arousal, during higher/lower load speech tasks (structured sentence production and picture description) and non-speech tasks (jaw wagging and forceful blowing). We included a measure that reflects children’s attitudes about their communication skills and a parent-report assessment of temperament. Results We found no significant differences between preschool CWS and CWNS in phasic skin conductance response amplitude or frequency, BPV, and pulse rate for any of the experimental tasks. However, compared to CWNS, CWS had, on average, significantly higher skin conductance levels (SCL), indexing slowly changing tonic sympathetic activity, across both speech and non-speech experimental conditions. We found distinctive task-related profiles of sympathetic arousal in both groups of preschool children. Most children produced the highest levels of sympathetic arousal in the physically demanding blowing task rather than in speech, as seen in previous studies of adults. We did not find differences in temperament between the two groups of preschool children nor a relationship among behavioral indices of temperament and communication attitude and physiological measures of sympathetic arousal. Conclusion We did not find that atypically high, speech-related sympathetic arousal is a significant factor in early childhood stuttering. Rather, CWS had higher, on average, task-related tonic SCLs across speech and non-speech tasks. A relationship among behavioral measures of temperament and physiological measures of sympathetic arousal was not confirmed. Key questions for future experiments are how the typical coupling of sympathetic and speech sensorimotor systems develops over childhood and adolescence and whether task related developmental profiles follow a different course in children who continue to stutter.
Adult Age Differences in the Use of Conceptual Combination as an Associative Encoding Strategy

It is well-established that aging impairs memory for associations more than it does memory for single items. Aging also impacts processes involved in online language comprehension, including the ability to form integrated, message-level representations. These changes in comprehension processes could impact older adults’ associative memory performance, perhaps by reducing or altering the effectiveness of encoding strategies that encourage semantic integration. The present study examined age differences in the use of a strategy termed conceptual combination, which involves integrating two words (e.g., “winter” and “salad”) into a single concept (“a salad for winter”). We recorded ERPs while participants studied unrelated noun pairs using a strategy that either did or did not encourage conceptual combination. We also varied the concreteness of the first noun in each pair in order to measure compositional concreteness effects, or ERP differences at the second noun due to the concreteness of the first noun. At the first nouns, older adults showed word-level concreteness effects that were similar to those of younger adults. However, compositional concreteness effects were diminished in older adults, consistent with reduced semantic integration. Older adults’ associative memory performance was better for word pairs studied during the conceptual combination task versus the non-combinatory encoding task; however, the magnitude of the age-related associative memory deficit did not differ between tasks. Finally, analyses of both memory accuracy and trial-by-trial ratings of perceived combination success suggested that older adults had disproportionate difficulty applying the conceptual combination strategy to word pairs that began with abstract nouns. Overall, these results indicate that changes to integrative language processing that occur with age are not independent of – and may sometimes exacerbate – age-related memory decline.
Moderation of Housing-Related Factors on Psychological Capital–Job Embeddedness Association

This study identified three critical housing-related factors (HRFs) as moderators of the relationships between employees’ psychological capital (PsyCap) and job embeddedness (JE) in China’s entrepreneurial environment. The hypotheses were tested with multiple hierarchical regression modeling, using the data collected from 312 employees in manufacturing organizations. The results demonstrated that HRFs (i.e., home ownership, housing price satisfaction, and contributions to housing funds) moderate the relationships between employees’ PsyCap and JE. Specifically, these relationships were stronger when the HRFs were high. Such results contribute to the PsyCap and JE literature by incorporating housing as an extrinsic life-aspect factor that might affect employees’ psychological state and thus their retention in works. Implications for the organization policies and directions for future studies were discussed.
Data Management in Health-Related Research Involving Indigenous Communities in the United States and Canada: A Scoping Review

Background: Multiple factors, including experiences with unethical research practices, have made some Indigenous groups in the United States and Canada reticent to participate in potentially beneficial health-related research. Yet, Indigenous peoples have also expressed a willingness to participate in research when certain conditions related to the components of data management-including data collection, analysis, security and storage, sharing, dissemination, and withdrawal-are met. A scoping review was conducted to better understand the terms of data management employed in health-related research involving Indigenous communities in the United States and Canada. Methods: PubMed, Embase, PsychINFO, and Web of Science were searched using terms related to the populations and topics of interest. Results were screened and articles deemed eligible for inclusion were extracted for content on data management, community engagement, and community-level research governance. Results: The search strategy returned 734 articles. 31 total articles were extracted, of which nine contained in-depth information on data management and underwent detailed extraction. All nine articles reported the development and implementation of data management tools, including research ethics codes, data-sharing agreements, and biobank access policies. These articles reported that communities were involved in activities and decisions related to data collection (n=7), data analysis (n=5), data-sharing (n=9), dissemination (n=7), withdrawal (n=4), and development of data management tools (n=9). The articles also reported that communities had full or shared ownership of (n=5), control over (n=9), access to (n=1), and possession of data (n=5). All nine articles discussed the role of community engagement in research and community-level research governance as means for aligning the terms of data management with the values, needs, and interests of communities. Conclusions: There is need for more research and improved reporting on data management in health-related research involving Indigenous peoples in the United States and Canada. Findings from this review can provide guidance for the identification of data management terms and practices that may be acceptable to Indigenous communities considering participation in health-related research.
SNAKE-LIKE ROBOT CONTROLLER WITH CYCLIC INHIBITORY CPG MODEL

The rhythmic locomotion of a creature is a self-excitation behavior of the CPG (Central pattern generator), which makes it supremely adapted for environment. Based on this fact, firstly a snake-like robot controller with cyclic inhibitory CPG model is designed, and then the stability of single neuron, CPG model and the neuron oscillator network (NON) are analyzed. By implementing this control architecture to a simulator with consideration of mechanical dynamics of a real snake-like robot named "Perambulator-Ⅰ", preliminary policies for serpentine locomotion about parameter setting of the CPG controller to modulate the number of S shape, the curve of body shape, locomotion velocity and the curve of locomotion trajectory are presented. Moreover, "Perambulator-Ⅰ" can successfully exhibit serpentine locomotion by using output of the proposed CPG controller. The results provide a realistic approach to design an artificial CPG controller.
Probabilistic modelling of gait for remote passive monitoring applications

Passive and non-obtrusive health monitoring using wearables can potentially bring new insights into the user's health status throughout the day and may support clinical diagnosis and treatment. However, identifying segments of free-living data that sufficiently reflect the user's health is challenging. In this work we have studied the problem of modelling real-life gait which is a very indicative behaviour for multiple movement disorders including Parkinson's disease (PD). We have developed a probabilistic framework for unsupervised analysis of the gait, clustering it into different types, which can be used to evaluate gait abnormalities occurring in daily life. Using a unique dataset which contains sensor and video recordings of people with and without PD in their own living environment, we show that our model driven approach achieves high accuracy gait detection and can capture clinical improvement after medication intake.
DIFFERENTIAL EVOLUTIONARY ALGORITHM FOR ALLOCATION OF SVC IN A POWER SYSTEM

This paper investigates the ability of different strategies of Differential Evolutionary (DE) Algorithm in dealing with optimal placement of Static VAR Compensator (SVC) in a power system. The primary function of an SVC is to improve transmission system voltage, thereby enhancing the maximum power transfer limit. To enhance voltage stability, the planning problem is formulated as a multi-objective optimization problem for maximizing fuzzy performance indices. Two different scenarios are used when DE is applied. The performances of DE with two different scenarios and different strategies are compared in terms of their success rate. To validate the results, Real Genetic Algorithm (RGA) is applied and compared with DE.
Using the SUS: Lessons Learned & Forward Looking Research

This panel will discuss the System Usability Scale. Panelists all have extensive experience using the SUS within a broad range of contexts: diverse people (e.g., abilities, languages); different types of products; and different testing scenarios. Members of the audience will have the opportunity to ask questions about new research on the validity of the SUS in different environments as well as about lessons learned from practitioners using it to evaluate commercial products. Topics of specific interest to the authors are detailed within this paper.
Effect of diabetes duration on the relationship between glycaemic control and risk of death in older adults with type 2 diabetes

To investigate the effect of diabetes duration on glycaemic control, measured using mean glycated haemoglobin (HbA1c) level, and mortality risk within different age, sex and clinically relevant, comorbidity‐defined subgroups in an elderly population with type 2 diabetes (T2D).
Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning

As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pathology is important in early stages of preclinical drug development, particularly when the intended patient population include women of child-bearing potential. Microscopic evaluation by pathologists of hematoxylin and eosin (H&E)–stained tissues is the current gold standard for the assessment of organs in toxicity studies. However, digital pathology and advanced image analysis are being explored with greater frequency and broader applicability to tissue evaluations in toxicologic pathology. Our objective in this work was to develop an automated method that rapidly enumerates rat ovarian corpora lutea on standard H&E-stained slides with comparable accuracy to the gold standard assessment by a pathologist. Herein, we describe an algorithm generated by a deep learning network and tested on 5 rat toxicity studies, which included studies that both had and had not previously been diagnosed with effects on number of ovarian corpora lutea. Our algorithm could not only enumerate corpora lutea accurately in all studies but also revealed distinct trends for studies with and without reproductive toxicity. Our method could be a widely applied tool to aid analysis in general toxicity studies.
The effect of neuromuscular electrical stimulation with different electrode positions on swallowing in stroke patients with oropharyngeal dysphagia: A randomized trial.

OBJECTIVE To examine the effects of neuromuscular electrical stimulation (NMES) on oropharyngeal swallowing function according to 2 types of placement, acting as assistance and as resistance, in stroke patients with dysphagia. METHODS Thirty-eight stroke patients with dysphasia were randomly assigned to the suprahyoid group (SMG), or infrahyoid muscle group (IMG); 26 patients completed the intervention and were included in the analysis. In the SMG, the electrodes were placed on the region between the jaw and the hyoid bone, whereas in the IMG, the electrodes were placed on the region below the hyoid for the targeted infrahyoid muscles. Both groups received NMES for 30 min/d, 5 d/wk, for 4 weeks and conventional dysphagia therapy. Swallowing function was measured using the Videofluoroscopic Dysphagia scale and Penetration-Aspiration scale based on videofluoroscopic swallowing study. Oral dietary intake was measured using the Functional Oral Intake Scale. RESULTS Both groups showed significant improvements in oropharyngeal function and level of functional oral intake, but there was no significant difference between the two groups. However, the SMG showed a more reduced penetration-aspiration, compared with the IMG. CONCLUSIONS Altogether, these data demonstrate that 2 types of NMES placements have a similar effect on improving swallowing function and oral diet intake in patients with dysphagia.
Binge drinking among male medical students in Viet Nam: a qualitative exploration of norms

Abstract Alcohol is a commonly used substance among Vietnamese medical students, especially males. Vietnamese male medical students drink more alcohol, report more intentions to binge drink, and experience more alcohol-related problems than females. As medical students’ alcohol consumption may influence their attitudes and medical practice relating to alcohol counseling and prevention, research about the cultural and drinking norms underlying the drinking behavior of Vietnamese male medical students is warranted. This study aims to explore the norms underlying drinking behavior of Vietnamese male medical students. A qualitative study including 32 in-depth interviews with Vietnamese male medical students at a medical university. Thematic analysis was used to analyze the data. This study found Vietnamese male medical students considered alcohol consumption as a way to show their masculinity and become accepted by groups. Given these beliefs and adherence to norms, they followed rules to force others to consume more alcohol or be intoxicated in drinking occasions among medical students. This study showed the importance of gender and group norms in influencing Vietnamese male medical students’ alcohol consumption. These norms should be considered in future research and interventions addressing alcohol use among this target population.
ADP-Ribosylation Levels and Patterns Correlate with Gene Expression and Clinical Outcomes in Ovarian Cancers

Inhibitors of nuclear PARP enzymes (e.g., PARP-1) have improved clinical outcomes in ovarian cancer, especially in patients with BRCA1/2 gene mutations or additional homologous recombination (HR) DNA repair pathway deficiencies. These defects serve as biomarkers for response to PARP inhibitors (PARPi). We sought to identify an additional biomarker that could predict responses to both conventional chemotherapy and PARPi in ovarian cancers. We focused on cellular ADP-ribosylation (ADPRylation), which is catalyzed by PARP enzymes and detected by detection reagents we developed previously. We determined molecular phenotypes of 34 high-grade serous ovarian cancers and associated them with clinical outcomes. We used the levels and patterns of ADPRylation and PARP-1 to distribute ovarian cancers into distinct molecular phenotypes, which exhibit dramatically different gene expression profiles. In addition, the levels and patterns of ADPRylation, PARP-1 protein, and gene expression correlated with clinical outcomes in response to platinum-based chemotherapy, with cancers exhibiting the highest levels of ADPRylation having the best outcomes independent of BRCA1/2 status. Finally, in cell culture-based assays using patient-derived ovarian cancer cell lines, ADPRylation levels correlated with sensitivity to the PARPi, Olaparib, with cell lines exhibiting high levels of ADPRylation having greater sensitivity to Olaparib. Collectively, our study demonstrates that ovarian cancers exhibit a wide range of ADPRylation levels, which correlate with therapeutic responses and clinical outcomes. These results suggest ADPRylation may be a useful biomarker for PARPi sensitivity in ovarian cancers, independent of BRCA1/2 or homologous recombination deficiency status.
Short‐term plasticity following motor sequence learning revealed by diffusion magnetic resonance imaging

Current noninvasive methods to detect structural plasticity in humans are mainly used to study long‐term changes. Diffusion magnetic resonance imaging (MRI) was recently proposed as a novel approach to reveal gray matter changes following spatial navigation learning and object‐location memory tasks. In the present work, we used diffusion MRI to investigate the short‐term neuroplasticity that accompanies motor sequence learning. Following a 45‐min training session in which participants learned to accurately play a short sequence on a piano keyboard, changes in diffusion properties were revealed mainly in motor system regions such as the premotor cortex and cerebellum. In a second learning session taking place immediately afterward, feedback was given on the timing of key pressing instead of accuracy, while participants continued to learn. This second session induced a different plasticity pattern, demonstrating the dynamic nature of learning‐induced plasticity, formerly thought to require months of training in order to be detectable. These results provide us with an important reminder that the brain is an extremely dynamic structure. Furthermore, diffusion MRI offers a novel measure to follow tissue plasticity particularly over short timescales, allowing new insights into the dynamics of structural brain plasticity.
Alcohol Use and Harm to Children by Parents and Other Adults

This study used mixed methods to examine parent-reported harm to children (lack of supervision or physical harm) due to alcohol use by themselves or someone else as well as parent beliefs about alcohol, parenting, and harms to children. We conducted a cross-sectional general population survey of 1,599 parents who were primary caregivers to a child aged 10 or younger and follow-up interviews with 23 parents who responded “yes” to one of the questions about alcohol use causing harm their child. Survey data were analyzed using multilevel logistic models. Compared to abstainers, parents who drank at least once a year were less likely to report that someone else’s drinking caused a lack of supervision or physical harm to their child. Higher continued volumes of drinking were related to fewer reports of not watching a child closely enough. Social companionship support (having people to go out with) was related to greater odds that a parent’s drinking would cause physical harm to his or her child(ren). In the qualitative analysis, four relevant themes emerged: perceived effects of alcohol use, tangible support and child supervision, immediate and distal harm, and turning points in drinking behaviors.
Discovery of hyperstable carbohydrate‐active enzymes through metagenomics of extreme environments

The enzymes from hyperthermophilic microorganisms populating volcanic sites represent interesting cases of protein adaptation and biotransformations under conditions where conventional enzymes quickly denature. The difficulties in cultivating extremophiles severely limit access to this class of biocatalysts. To circumvent this problem, we embarked on the exploration of the biodiversity of the solfatara Pisciarelli, Agnano (Naples, Italy), to discover hyperthermophilic carbohydrate‐active enzymes (CAZymes) and to characterize the entire set of such enzymes in this environment (CAZome). Here, we report the results of the metagenomic analysis of two mud/water pools that greatly differ in both temperature and pH (T = 85 °C and pH 5.5; T = 92 °C and pH 1.5, for Pool1 and Pool2, respectively). DNA deep sequencing and following in silico analysis led to 14 934 and 17 652 complete ORFs in Pool1 and Pool2, respectively. They exclusively belonged to archaeal cells and viruses with great genera variance within the phylum Crenarchaeota, which reflected the difference in temperature and pH of the two Pools. Surprisingly, 30% and 62% of all of the reads obtained from Pool1 and 2, respectively, had no match in nucleotide databanks. Genes associated with carbohydrate metabolism were 15% and 16% of the total in the two Pools, with 278 and 308 putative CAZymes in Pool1 and 2, corresponding to ~ 2.0% of all ORFs. Biochemical characterization of two CAZymes of a previously unknown archaeon revealed a novel subfamily GH5_19 β‐mannanase/β‐1,3‐glucanase whose hemicellulose specificity correlates with the vegetation surrounding the sampling site, and a novel NAD+‐dependent GH109 with a previously unreported β‐N‐acetylglucosaminide/β‐glucoside specificity.
Design, Synthesis and Pharmacological Evaluation of Potent Positive Allosteric Modulators of the Glucagon-like Peptide-1 Receptor (GLP-1R).

The therapeutic success of peptidic GLP-1 receptor agonists for treatment of type 2 diabetes mellitus (T2DM) motivated our search for orally bioavailable small molecules that can activate the GLP-1 receptor (GLP-1R) as a well-validated target for T2DM. Here, the discovery and characterization of a potent and selective positive allosteric modulator (PAM) for GLP-1R based on a 3,4,5,6-tetrahydro-1H-1,5-epiminoazocino[4,5-b]indole scaffold is reported. Optimization of this series from HTS was supported by a GLP-1R ligand binding model. Biological in-vitro testing revealed favorable ADME and pharmacological profiles for the best compound 19. Characterization by in-vivo pharmacokinetic and pharmacological studies demonstrated that 19 activates GLP-1R as positive allosteric modulator (PAM) in presence of the much less active endogenous degradation product GLP1(9-36)NH2 of the potent endogenous ligand GLP-1(7-36)NH2. While these data suggest the potential of small molecule GLP-1R PAMs for T2DM treatment, further optimization is still required towards a clinical candidate.