Miracle-dz/UniFAR-FTUs huggingface dataset:
A prospective clinical and trichoscopic study of tinea capitis in children during treatment

Tinea capitis (TC) is the most common dermatophyte infection in children. Fungal culture; although a gold standard of diagnosis, requires time for the final results which can favor horizontal transmission. Trichoscopy helps in rapid diagnosis and could work as a monitoring tool during antifungal therapy. The objective of this study is to provide a clinico‐trichoscopic evaluation and follow‐up of children presenting with TC during treatment with either griseofulvin or terbinafine. One hundred and twenty children clinically diagnosed with TC confirmed by potassium hydroxide microscopy, were divided into two groups and given either oral ultramicrosize griseofulvin (60, Group A) or terbinafine (60, Group B). Following initiation of the antifungal therapy, trichoscopic features within Groups A and B were noted at 0, 2, 4, 6, and 8 weeks. However, variation in the baseline trichoscopic features between the two groups was not statistically significant (p = 0.855). A significant reduction of corkscrew and broken hairs as well as perifollicular scales, scalp erythema, and crust was significantly observed from 2 weeks onward irrespective of the antifungal drug prescribed. Despite the paucity of data evaluating trichoscopic features in patients with TC, this tool can serve as a rapid diagnostic and monitoring tool during antifungal treatment. Trichoscopic signs of TC resolution occur before clinical improvement and can guide for treatment adjustment during the course of therapy.
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers

An increased interest in longitudinal neurodevelopment during the first few years after birth has emerged in recent years. Noninvasive magnetic resonance imaging (MRI) can provide crucial information about the development of brain structures in the early months of life. Despite the success of MRI collections and analysis for adults, it remains a challenge for researchers to collect high-quality multimodal MRIs from developing infant brains because of their irregular sleep pattern, limited attention, inability to follow instructions to stay still during scanning. In addition, there are limited analytic approaches available. These challenges often lead to a significant reduction of usable MRI scans and pose a problem for modeling neurodevelopmental trajectories. Researchers have explored solving this problem by synthesizing realistic MRIs to replace corrupted ones. Among synthesis methods, the convolutional neural network-based (CNN-based) generative adversarial networks (GANs) have demonstrated promising performance. In this study, we introduced a novel 3D MRI synthesis framework– pyramid transformer network (PTNet3D)– which relies on attention mechanisms through transformer and performer layers. We conducted extensive experiments on high-resolution Developing Human Connectome Project (dHCP) and longitudinal Baby Connectome Project (BCP) datasets. Compared with CNN-based GANs, PTNet3D consistently shows superior synthesis accuracy and superior generalization on two independent, large-scale infant brain MRI datasets. Notably, we demonstrate that PTNet3D synthesized more realistic scans than CNN-based models when the input is from multi-age subjects. Potential applications of PTNet3D include synthesizing corrupted or missing images. By replacing corrupted scans with synthesized ones, we observed significant improvement in infant whole brain segmentation.
Resilient Corrective Control of Asynchronous Sequential Machines Against Intermittent Loss of Actuator Outputs

This article proposes a resilient corrective control scheme for input/state asynchronous sequential machines (ASMs) against a class of actuator faults in which certain actuator outputs cannot be generated temporarily. We first present a mathematical formulation to describe the reachability of the controlled ASM damaged by the intermittent loss of actuator outputs. Based on the mathematical formulation, we address the existence condition and design procedure for a state-feedback corrective controller and a diagnoser that achieve resilience, that is, to make the closed-loop system exhibit normal input/state behaviors despite the intermittent loss of actuator outputs. To validate the applicability of the proposed concept and methodology, the closed-loop system of a practical asynchronous digital system is implemented on a field-programmable gate array (FPGA) and experimental verifications are provided.
Ecology and responses to climate change of biocrust-forming mosses in drylands

Abstract Interest in understanding the role of biocrusts as ecosystem engineers in drylands has substantially increased during the past two decades. Mosses are a major component of biocrusts and dominate their late successional stages. In general, their impacts on most ecosystem functions are greater than those of early-stage biocrust constituents. However, it is common to find contradictory results regarding how moss interactions with different biotic and abiotic factors affect ecosystem processes. This review aims to (i) describe the adaptations and environmental constraints of biocrust-forming mosses in drylands, (ii) identify their primary ecological roles in these ecosystems, and (iii) synthesize their responses to climate change. We emphasize the importance of interactions between specific functional traits of mosses (e.g. height, radiation reflectance, morphology, and shoot densities) and both the environment (e.g. climate, topography, and soil properties) and other organisms to understand their ecological roles and responses to climate change. We also highlight key areas that should be researched in the future to fill essential gaps in our understanding of the ecology and the responses to ongoing climate change of biocrust-forming mosses. These include a better understanding of intra- and interspecific interactions and mechanisms driving mosses’ carbon balance during desiccation–rehydration cycles.
Optical genome mapping for structural variation analysis in hematologic malignancies

Optical genome mapping (OGM) is a technology that is rapidly being adopted in clinical genetics laboratories for its ability to detect structural variation (e.g., translocations, inversions, deletions, duplications, etc.) and replace several concurrent standard of care techniques (karyotype, fluorescence in situ hybridization, and chromosomal microarray). OGM can dramatically simplify lab workflow by reducing multiple tests (conventional karyotype, fluorescence in situ hybridization [FISH], and chromosomal microarray) into one test. The superior ability to detect structural variation across the genome removes the need for reflex FISH studies, which can dramatically reduce cost and turnaround time per sample. Parallel studies of OGM versus standard of care testing have demonstrated it can detect and resolve more abnormalities than karyotyping or FISH. However, like many molecular tests that normalize copy number it can have difficulty with non‐diploid karyotypes. This Test of the Month review will summarize how the technique works, review the strengths and weaknesses of OGM compared to standard of care techniques and illustrate how the technique is likely to change front line testing in many hematologic malignancies—including summarizing the clinical utility in acute myeloid leukemia, myelodysplastic syndromes, and B cell acute lymphoblastic leukemia.
Radiation Therapy for Brain Metastases: ASCO Guideline Endorsement of ASTRO Guideline

PURPOSE American Society of Radiation Oncology (ASTRO) has developed a guideline on appropriate radiation therapy for brain metastases. ASCO has a policy and set of procedures for endorsing clinical practice guidelines that have been developed by other professional organizations. METHODS “Radiation Therapy for Brain Metastases: An ASTRO Clinical Practice Guideline”2 was reviewed for developmental rigor by methodologists. An ASCO Endorsement Panel subsequently reviewed the content and the recommendations. RESULTS The ASCO Endorsement Panel determined that the recommendations from the ASTRO guideline, published May 6, 2022, are clear, thorough, and based upon the most relevant scientific evidence. ASCO endorses “Radiation Therapy for Brain Metastases: An ASTRO Clinical Practice Guideline. ”2 RECOMMENDATIONS Within the guideline, stereotactic radiosurgery (SRS) is recommended for patients with Eastern Cooperative Oncology Group performance status of 0-2 and up to four intact brain metastases, and conditionally recommended for patients with up to 10 intact brain metastases. The guideline provides detailed dosing and fractionation recommendations on the basis of the size of the metastases. For patients with resected brain metastases, radiation therapy (SRS or whole-brain radiation therapy [WBRT]) is recommended to improve intracranial disease control; if there are limited additional brain metastases, SRS is recommended over WBRT. For patients with favorable prognosis and brain metastases ineligible for surgery and/or SRS, WBRT is recommended with hippocampal avoidance where possible and the addition of memantine is recommended. For patients with brain metastases, limiting the single-fraction V12Gy to brain tissue to ≤ 10 cm3 is conditionally recommended. Additional information is available at www.asco. org/neurooncology-guidelines.
Transit trip distribution model considering land use differences between catchment areas

Summary Sustainable land use planning and advanced public transport system are believed to be effective solutions to traffic congestion. To this end, it is important to reveal the relationship between transit ridership and land use. However, current Direct Ridership Models only focus on the relationship between single station's boarding volume and the corresponding catchment area land use. This paper analyzed the ridership distribution between transit stations by considering the land use difference between catchment areas. Land use difference was calculated from point of interest (POI) data extracted from an electronic map of Beijing; transit trip distribution volume was obtained from ‘automatic fare collection’ facility. After data specification, a transit ridership distribution model was proposed and calibrated. The calibration results suggest that land use difference has a directly proportional correlation with transit ridership distribution. The research findings build a bridge between detailed urban form and public transport, which is of significance for the further research of sustainable urban planning. Copyright © 2016 John Wiley & Sons, Ltd.
Connectome-based prediction of marital quality in husbands’ processing of spousal interactions

Abstract Marital quality may decrease during the early years of marriage. Establishing models predicting individualized marital quality may help develop timely and effective interventions to maintain or improve marital quality. Given that marital interactions have an important impact on marital well-being cross-sectionally and prospectively, neural responses during marital interactions may provide insight into neural bases underlying marital well-being. The current study applies connectome-based predictive modeling, a recently developed machine-learning approach, to functional magnetic resonance imaging (fMRI) data from both partners of 25 early-stage Chinese couples to examine whether an individual’s unique pattern of brain functional connectivity (FC) when responding to spousal interactive behaviors can reliably predict their own and their partners’ marital quality after 13 months. Results revealed that husbands’ FC involving multiple large networks, when responding to their spousal interactive behaviors, significantly predicted their own and their wives’ marital quality, and this predictability showed gender specificity. Brain connectivity patterns responding to general emotional stimuli and during the resting state were not significantly predictive. This study demonstrates that husbands’ differences in large-scale neural networks during marital interactions may contribute to their variability in marital quality and highlights gender-related differences. The findings lay a foundation for identifying reliable neuroimaging biomarkers for developing interventions for marital quality early in marriages.
Imagined Musical Scale Relationships Decoded from Auditory Cortex

Abstract Notes in a musical scale convey different levels of stability or incompleteness, forming what is known as a tonal hierarchy. Levels of stability conveyed by these scale degrees are partly responsible for generating expectations as a melody proceeds, for emotions deriving from fulfillment (or not) of those expectations, and for judgments of overall melodic well-formedness. These functions can be extracted even during imagined music. We investigated whether patterns of neural activity in fMRI could be used to identify heard and imagined notes, and if patterns associated with heard notes could identify notes that were merely imagined. We presented trained musicians with the beginning of a scale (key and timbre were varied). The next note in the scale was either heard or imagined. A probe tone task assessed sensitivity to the tonal hierarchy, and state and trait measures of imagery were included as predictors. Multivoxel classification yielded above-chance results in primary auditory cortex (Heschl's gyrus) for heard scale-degree decoding. Imagined scale-degree decoding was successful in multiple cortical regions spanning bilateral superior temporal, inferior parietal, precentral, and inferior frontal areas. The right superior temporal gyrus yielded successful cross-decoding of heard-to-imagined scale-degree, indicating a shared pathway between tonal-hierarchy perception and imagery. Decoding in right and left superior temporal gyrus and right inferior frontal gyrus was more successful in people with more differentiated tonal hierarchies and in left inferior frontal gyrus among people with higher self-reported auditory imagery vividness, providing a link between behavioral traits and success of neural decoding. These results point to the neural specificity of imagined auditory experiences—even of such functional knowledge—but also document informative individual differences in the precision of that neural response.
Malaysia’s trend of employment turnover: Study on Generation Y

This study is about the trend of employment turnover of Generation Y in Malaysia. The objectives of this study is to explore the reasons behind the turnover of Generation Y and to understand the Generation Y employee’s perception towards the turnover in Malaysia. Since Generation Y nowadays is the generation that will take over the job industry in Malaysia, with the study of their trait, behavior and characteristic and their own perceptions, we will be able to understand the reasons over their turnover. Besides, this study will be able to help other researchers to find a way to reduce the turnover among Generation Y later. The organization also will be able to save their time and money on searching new employees. Throughout the study, data were collected using a sampling method involving 72 out of 100 of Generation Y employee’s age between 20 until 37 in Tenaga Nasional Berhad (TNB)’s Bangsar. The choice of this generation is because they are the youth that will rule the country in the future. SPSS Statistics is used in this study for statistical analysis. The reasons for Generation Y’s employment turnover are lack of career advancement, work load, relationship with other colleagues, alternatives job opportunities, job security, and stressed at work. However, Generation Y did not think that training programme is the reason for them to join the organization or to stay in the organization. From the questionnaire, we able to see Generation Y’s perspective on their job. This study is a contribution to Tenaga Nasional Berhad (TNB) to help them to understand and find a possible solution to decrease the turnover among the employees among Generation Y. Key words : Malaysia, Generation Y, Employment Turnover
Physicochemical and sensory properties of biscuits formulated with Tenebrio molitor and Alphitobius diaperinus flours

Abstract The use of insects is considered by Food and Agriculture Organization (FAO) as an alternative source of protein for human and animal food in order to reduce the carbon footprint caused by meat production and to supply the expected population increase with food. In this regard, the aim of this study was to analyze the physicochemical aspects (water activity, protein and fat content, size, optical and mechanical properties) of biscuits prepared with two different insect powders (Tenebrio molitor [TM] and Alphitobius diaperinus [AD], in different percentages [0, 13, 17, 20, and 25%]) based on total weight. In addition, the biscuits formulated with the highest insect powder content were subjected to sensory analysis. The results revealed that all the biscuits formulated with insect powders may be labeled as “high in protein” products following Regulation (EC) No. 1924/2006, although they were not as thick as the control biscuits. The L* and b* coordinates were significantly lower when the insect powders were included, which implied a darkening of the biscuits, which were also harder than the control biscuits, regardless the concentration used. According to the sensory analysis, most panelists perceived the biscuits containing insects as too dark and not crunchy enough and an increase in sweetness might improve their acceptability. Finally, further studies should be carried out to analyze the influence of different structural components and flavorings, such as chocolate, in the formulation of biscuits with insect powders to improve their sensory attributes.
Study of the effects of cognitive behavioral therapy versus dialectical behavior therapy on executive function and reduction of symptoms in generalized anxiety disorder

Abstract Introduction The effects of dialectical behavior therapy on generalized anxiety disorder have not been examined to date, whereas cognitive behavioral therapy is a well-known psychotherapy for generalized anxiety disorder. Objectives This study investigated the effects of cognitive behavioral therapy versus dialectical behavior therapy on executive function and reduction of symptoms in generalized anxiety disorder. Method In the present study, 72 generalized anxiety disorder patients were randomly assigned to one of two groups: dialectical behavior therapy or cognitive behavioral therapy. Evaluations were performed at baseline, post-test, and three months after interventions as a follow-up. Measures included the Structured Clinical Interview for DSM-IV Axis I disorders, the Generalized Anxiety Disorder scale, the Beck Anxiety Inventory, the Beck Depression Inventory, the Tower of London Task, and the Wisconsin Card Sorting Task.Results: The results of the present study showed that both groups had reduced scores for depression and anxiety and increased scores for executive function after the psychotherapies. These changes were maintained at follow-up. Conclusion Although depression and anxiety symptoms were significantly reduced by cognitive behavioral therapy, dialectical behavior therapy was more effective for improving executive function.
Development of the Chinese Haemovigilance Network and reporting of adverse transfusion reactions from 2018 to 2020

To advance blood transfusion safety, the Chinese Haemovigilance Network (CHN) was put into operation in 2018. This report describes the development of the CHN and evaluates its role by analysing reported adverse transfusion reactions (ATRs) from 2018 to 2020.
Upregulation of SPI1 during myocardial infarction aggravates cardiac tissue injury and disease progression through activation of the TLR4/NFκB axis.

OBJECTIVE Spleen focus forming virus proviral integration oncogene (SPI1) belongs to the ETS family of transcription factors participating in an array of cellular processes such as inflammation and cell apoptosis. This research focused on the role of SPI1 in the myocardial infarction (MI). METHODS A murine model of MI was established. HL-1 cells were exposed to hypoxic treatment to simulate an MI-like condition. Tissue injury, inflammatory infiltration, and fibrosis in the cardiac tissues, and the apoptosis and the production of inflammation-related factors in cells were examined. Expression of SPI1 was determined. The downstream targets of SPI1 were identified by bioinformatics tools and luciferase assays. Artificial up- or downregulation of SPI1 and toll like receptor 4 (TLR4) were induced to examine their involvements in MI progression. RESULTS SPI1 was expressed at high levels in the cardiac tissues of MI mice and in hypoxia-induced HL-1 cells. SPI1 downregulation reduced apoptosis and the production of inflammatory cytokines in the hypoxia-induced HL-1 cells. SPI1 bound to TLR4 promoter to induce transcriptional activation. TLR4 induced NFκB phosphorylation and blocked the protective role of SPI1 silencing in cells. In vivo, SPI1 inhibition restored the cardiac function and ameliorated MI-induced inflammation and fibrosis in mice. The protective role of SPI1 inhibition in mice was blocked by TLR4 activation. Aberrant upregulation of SPI1 was caused by the reduced DNA methylation during MI. CONCLUSION This study demonstrated that upregulation of SPI1, caused by reduced DNA methylation, augmented development of myocardial infarction by activating the TLR4/NFκB axis.
Association between Outdoor Air Pollution Exposure and Handgrip Strength: Findings from the French CONSTANCES Study

Mohammad Javad Zare Sakhvidi,1 Antoine Lafontaine,1 Jun Yang,1 Emeline Lequy,2 Fanny Artaud,3 Marianne Canonico,3 Anna Ozguler,2 Danielle Vienneau,4,5 Marie Zins,2 and Bénédicte Jacquemin1 Université de Rennes, Institut national de la santé et de la recherche médicale (Inserm, National Institute of Health & Medical Research), Ecole des hautes études en santé publique (EHESP), Irset (Institut de recherche en santé, environnement et travail)—UMR_S 1085, Rennes, France Université de Paris, Unité UMS 011 “Cohortes en Population,” Inserm, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), Paris, France Paris-Saclay University, UVSQ, Université Paris-Sud, Inserm, Gustave Roussy, “Exposome and Heredity Team,” Centre de recherche en Epidémiologie et Santé des Populations, Villejuif, France Swiss Tropical and Public Health Institute, Basel, Switzerland University of Basel, Basel, Switzerland
Energy Production from Sewage Sludge in a Proposed Wastewater Treatment Plant

The implemented technologies for sewage sludge processing are still very limited in Egypt. Unfortunately, dealing with the produced sludge is mainly given to the drying process through natural drying beds neglecting quality of the dried sludge. The undertaken work is devoted to provide a design proposal for a typical wastewater treatment plant suitable for the small communities on a very limited area of land compared to that required to construct the conventional treatment plant that serves the same population. The proposed sewage treatment plant is certainly beneficial in reducing the capital costs by 26%, in addition to about 20% reduction in the running costs. On the other hand, electricity generated from energy produced by anaerobic digestion of sewage sludge reduces the electrical power requirements from the main grid network to about 27% in the proposed wastewater treatment plant.