Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethical leadership supports safety voice by increasing risk perception and reducing ethical ambiguity: Evidence from the COVID‐19 pandemic

Misconduct by business and political leaders during the pandemic is feared to have impacted people's adherence to protective measures that would help to safeguard against the spread of COVID‐19. Addressing this concern, this article theorizes and tests a model linking ethical leadership with workplace risk communication—a practice referred to as ‘safety voice’ in the research literature. Our study, conducted with 511 employees from UK companies, revealed that ethical leadership is positively associated with greater intention to engage in safety voice regarding COVID‐19. We also find that this association is mediated by relations with the perceived health risk of COVID‐19 and ambiguity about ethical decision making in the workplace. These findings therefore underscore the importance of good ethical conduct by leaders for ensuring that health and safety risks are well understood and communicated effectively by organizational members particularly during crises. We discuss the theoretical and practical implications of our study and highlight further opportunities for future research to address the ethical dimensions of leadership, risk management, and organizational risk communication.
A novel pipeline for computerized mouse spermatogenesis staging

MOTIVATION Differentiating 12 stages of mouse seminiferous epithelial cycle is vital towards understanding the dynamic spermatogenesis process. However, it is challenging since two adjacent spermatogenic stages are morphologically similar. Distinguishing Stages I-III from Stages IV-V is important for histologists to understand sperm development in wildtype mice and spermatogenic defects in infertile mice. To achieve this, we propose a novel pipeline for Computerized Spermatogenesis Staging (CSS). RESULTS The CSS pipeline comprises four parts: 1) A seminiferous tubule segmentation model is developed to extract every single tubule; 2) A Multi-Scale Learning (MSL) model is developed to integrate local and global information of a seminiferous tubule to distinguish Stages I-V from Stages VI-XII; 3) A Multi-Task Learning (MTL) model is developed to segment the Multiple Testicular Cells (MTCs) for Stages I-V without an exhaustive requirement for manual annotation; 4) A set of 204-dimensional image-derived features is developed to discriminate Stages I-III from Stages IV-V by capturing cell-level and image-level representation. Experimental results suggest that the proposed MSL and MTL models outperform classic single-scale and single-task models when manual annotation is limited. In addition, the proposed image-derived features are discriminative between Stages I-III and Stages IV-V. In conclusion, the CSS pipeline can not only provide histologists with a solution to facilitate quantitative analysis for spermatogenesis stage identification but also help them to uncover novel computerized image-derived biomarkers. AVAILABILITY AND IMPLEMENTATION https://github.com/jydada/CSS. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Novel Eubacterium rectale inhibitor from Coriandrum sativum L. for possible prevention of colorectal cancer: a computational approach

Abstract This research aims to screen out the effective bioactive compounds from Coriander (Coriandrum sativum L.), which may be novel potential inhibitors of Eubacterium rectale for the prevention of colorectal cancer (CRC). A series of 8 coriander-derived chemical compounds previously assessed for their anti-inflammatory, antioxidant, and antidiabetic activities were tested against Carbohydrate ABC transporter substrate-binding protein and compared to the standard inhibitor Acarbose, to support their use as novel Eubacterium rectale inhibitors. Herein, these derivatives were submitted to a thorough analysis of docking studies, in which detailed interactions of the selected phytocompounds with carbohydrate ABC transporter substrate-binding protein were revealed. Molecular docking analysis recommends Rutin, Gallocatechin, and Epigallocatechin as the most potential Eubacterium rectale inhibitors among the eight selected phytochemical compounds. Subsequently, the stability of the three selected phytochemical complexes was checked using molecular dynamics (MD) simulation at 100 ns and Molecular Mechanics combined with Poisson-Boltzmann Surface Area (MM-PBSA). The results show quite good stability for Rutin and Gallocatechin. In silico ADMET prediction was performed on the selected compounds, and the findings revealed a reasonably good ADMET profile for both Rutin and Gallocatechin. The current findings predict that Gallocatechin could be a better CRC preventive natural compound, and, further in vitro, in vivo and clinical studies may confirm its therapeutic potential. Communicated by Ramaswamy H. Sarma
Simulation of optical control devices based on photonic band structures

The software package for photonic crystals based microwave and optical devices development has been created. The possibility of microwave devices analogues in nanotechnologies using PBG structures based on complex materials creation is proved and illustrated. The results of simulation, such as waveguides, diplexer and some antenna devices are presented. The method of discontinuity modeling in PBG-based waveguides is given.
Advances on diagnosis of Helicobacter pylori infections

Abstract The association of Helicobacter pylori to several gastric diseases, such as chronic gastritis, peptic ulcer disease, and gastric cancer, and its high prevalence worldwide, raised the necessity to use methods for a proper and fast diagnosis and monitoring the pathogen eradication. Available diagnostic methods can be classified as invasive or non-invasive, and the selection of the best relies on the clinical condition of the patient, as well as on the sensitivity, specificity, and accessibility of the diagnostic test. This review summarises all diagnostic methods currently available, including the invasive methods: endoscopy, histology, culture, and molecular methods, and the rapid urease test (RUT), as well as the non-invasive methods urea breath test (UBT), serological assays, biosensors, and microfluidic devices and the stool antigen test (SAT). Moreover, it lists the diagnostic advantages and limitations, as well as the main advances for each methodology. In the end, research on the development of new diagnostic methods, such as bacteriophage-based H. pylori diagnostic tools, is also discussed.
Comparison of synthetic and organic biodegradable chelants in augmenting cadmium phytoextraction in Solanum nigrum

Abstract This study focused to enhance the cadmium (Cd) phytoextraction efficiency in Solanum nigrum by applying four biodegradable chelants (10 mM)-ethylene glycol tetraacetic acid (EGTA), ethylenediamine disuccinate (EDDS), nitrilotriacetic acid (NTA), and citric acid (CA), when grown in Cd-spiked soil (12 and 48 mg kg−1). Plant height, dry biomass, photosynthetic traits, and metal accumulation varied significantly with Cd and chelant treatments. Cadmium-toxicity resulted in reduction of plant growth and photosynthetic physiology, whereas chelant supplementation alleviated the toxic effect of Cd and increased its accumulation. Tolerance index value increased with addition of chelants in the order: EGTA (1.57–1.63) >EDDS (1.39–1.58) >NTA (1.14–1.50) >CA (1–1.22) compared with Cd (0.46–1.08). Transfer coefficient of root increased with supplementation of EGTA (3.40–3.85), EDDS (3.10–3.40), NTA (2.60–2.90), and CA (1.85–2.29), over Cd-alone (1.61–1.63). Similarly, translocation factor was also increased upon addition of EGTA (0.52–0.73), EDDS (0.35–0.81), NTA (0.38–0.75), and CA (0.53–0.54), compared with Cd-alone (0.36–0.59). Maximum Cd removal (67.67% at Cd12 and 36.05% at Cd48) was observed with supplementation of EGTA. The study concludes that the supplementation of EGTA and EDDS with S. nigrum can be employed as an efficient and environmentally safe technique for reclamation of Cd-contaminated soils. Novelty Statement Apart from the selection of a good hyperaccumulator, the choice of chelant (biodegradable/non-biodegradable) is an important aspect for the successful phytoextraction of metals from contaminated soil. We reported for the first time the potential of ethylene glycol tetraacetic acid (EGTA; a biodegradable chelant) in enhancing Cd phytoextraction by Solanum nigrum. Comparative appraisal of metal extraction efficiency of biodegradable chelants at low (12 mg kg−1) and high (48 mg kg−1) Cd dose depicted that EGTA performed better than EDDS, NTA, and CA (other biodegradable chelants). EGTA supplementation did not induce toxicity in plants; rather it improved metal accumulation, morphology, and photosynthetic physiology.
Measurement of Cabibbo-Suppressed Tau Lepton Decays and the Determination of |Vus|

This work presents simultaneous branching fraction measurements of the decay modes {tau}{sup -} {yields} K{sup -} n{pi}{sup 0}{nu}{sub {tau}} with n = 0,1,2,3 and {tau}{sup -} {yields} {pi}{sup -} n{pi}{sup 0}{nu}{sub {tau}} with n = 3,4. The analysis is based on a data sample of 427 x 10{sup 6} {tau}{sup +}{tau}{sup -} pairs recorded with the BABAR detector, which corresponds to an integrated luminosity of 464.4 fb{sup -1}. The measured values are {Beta}({tau}{sup -} {yields} K{sup -}{nu}{sub {tau}}) = (6.57 {+-} 0.03 {+-} 0.11) x 10{sup -3}, {Beta}({tau}{sup -} {yields} K{sup -}{pi}{sup 0}{nu}{sub {tau}}) = (4.61 {+-} 0.03 {+-} 0.11) x 10{sup -3}, {Beta}({tau}{sup -} {yields} K{sup -} {pi}{sup 0}{pi}{sup 0}{nu}{sub {tau}}) = (5.05 {+-} 0.17 {+-} 0.44) x 10{sup -4}, {Beta}({tau}{sup -} {yields} K{sup -}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{nu}{sub {tau}}) = (1.31 {+-} 0.43 {+-} 0.40) x 10{sup -4}, {Beta}({tau}{sup 0} {yields} {pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{nu}{sub {tau}}) = (1.263 {+-} 0.008 {+-} 0.078) x 10{sup -2} and {Beta}({tau}{sup 0} {yields} {pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{nu}{sub {tau}}) = (9.6 {+-} 0.5 {+-} 1.2) x 10{sup -4}, where the uncertainties are statistical and systematic, respectively. All measurements are compatible with the current world averages whereas the uncertainties are significantly smaller by a factor of up to five. The determination of {Beta}({tau}{sup 0} {yields} {pi}{sup -}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{pi}{sup 0}{nu}{sub {tau}}) is the first measurement of this branching fraction. The measured branching fractions are combined with the current world averages. Using the new averages, an updated determination of |V{sub us}| from hadronic {tau} decays yields |V{sub us}| = 0.2146 {+-} 0.0025, which improves previous measurements by 19%. Its uncertainty is comparable to the one of the current world average from semileptonic kaon decays.
In vivo and in vitro matured bovine oocytes present a distinct pattern of single-cell gene expression

Summary Oocyte gene expression is a well controlled event that promotes gamete competence to undergo maturation, fertilization, and to support early embryo development, directly affecting reproductive outcomes. Considering that in vivo controlled ovarian stimulation or in vitro maturation (IVM) for the acquisition of mature oocytes has distinct implications for gene expression, we sought to evaluate the effects of these procedures on the expression of competence-related genes in single-cell oocytes. Healthy Nelore cows of reproductive age were synchronized to harvest in vivo matured oocytes; ovaries from slaughtered animals were used to obtain cumulus–oocyte complexes that were in vitro matured. Single-cell gene expression was performed using TaqMan Low-Density Arrays and 42 genes were evaluated. In silico analysis of protein interactions and Gene Ontology (GO) analysis was performed. Reduced gene expression was observed for 24 targets in IVM oocytes when compared with those of in vivo matured oocytes (P < 0.05). Differences ranged from 1.5-fold to 4.8-fold higher in in vivo oocytes and the BMP15 (5.28), GDF9 (6.23), NOBOX (7.25), HSPA8 (7.85) and MSX1 (11.00) showed the greatest fold increases. The strongest score of functional interactions was observed between the CDC20 and CKS2, with the differentially expressed gene CDC20 being the main marker behind GO enrichment. IVM negatively affected the expression of important genes related to oocyte competency, and showed higher expression levels in in vivo matured oocytes. In vivo controlled ovarian stimulation may be a better strategy to achieve proper oocyte competence and increase the success of assisted reproductive technologies.
Who are the patients who deny suicidal intent? Exploring patients' characteristics associated with self‐disclosure and denial of suicidal intent

Patients' non‐disclosure of suicidal ideation and intent concealment represent a major obstacle to the effective assessment of suicide risk and to the delivery of suicide prevention treatments. The present study aimed to investigate this phenomenon and to assess (1) if outpatient psychiatric patients are more or less likely to disclose intent to mental health clinicians in the context of psychiatric/psychological treatment than they are to in the context of research interviews with non‐clinicians; and (2) if certain demographic, trait‐like, and state‐like characteristics may predict such disclosure differences.
S-Nitrosylation-Mediated Reduction of CaV1.2 Surface Expression and Open Probability Underlies Attenuated Vasoconstriction Induced by Nitric Oxide

Background: L-type CaV1.2 calcium channel, the primary gateway for Ca2+ influx in smooth muscles, is widely regulated by multiple posttranslational modifications, such as protein kinase-mediated phosphorylation and nitric oxide-induced S-nitrosylation. However, the effect of S-nitrosylation on CaV1.2 channel function and its role in arterial contractility are not well understood. Methods: Electrophysiological recordings, Ca2+ and confocal imaging, and biochemical assays were used to functionally characterize S-nitrosylated CaV1.2 channels in vitro, while pressure myography and tail-cuff blood pressure measurement were conducted to evaluate the physiological effects of CaV1.2 S-nitrosylation ex vivo and in vivo. Results: S-nitrosylation significantly reduced the CaV1.2 current density by promoting lysosomal degradation that leads to decreased levels of total and surface CaV1.2 channel proteins in a CaVβ-independent manner and reducing the open probability of CaV1.2 channel. Mechanistically, the Cys1180 and Cys1280 residues within CaV1.2 channel have been determined as the molecular targets for S-nitrosylation as substitution of either Cys1180 or Cys1280 for serine resulted in substantial reduction of S-nitrosylation levels. Of note, CaV1.2 S-nitrosylation levels were significantly reduced in arteries isolated from both spontaneously hypertensive rats and patients with pulmonary hypertension. Moreover, mouse resistance arteries incubated with S-nitrosocysteine displayed much lower contractility and spontaneously hypertensive rats injected with S-nitrosocysteine also showed significantly reduced blood pressure, suggesting that reduced S-nitrosylation contributes to the upregulation of CaV1.2 channel activity in hypertensive arteries. Conclusions: This study provides strong evidence that S-nitrosylation-mediated downregulation of CaV1.2 channels is via 2 distinctive mechanisms and the findings offer potential pathways for therapeutic inventions in hypertension.
Structure and parameter learning of neuro-fuzzy systems: A methodology and a comparative study

A methodology and experimental comparison of neuro-fuzzy structures, namely linguistic and zero and first-order Takagi-Sugeno, are developed. The implementation of the model is conducted through the training of a neuro-fuzzy network, i.e., a neural net architecture capable of representing a fuzzy system. In the first phase, the structure of the model is obtained by subtractive clustering, which allows the extraction of a set of relevant rules based on a set of representative input-output data samples. Membership functions with two-sided Gaussian functions are proposed and discussed. In the second phase, the model parameters are tuned via the training of a neural network. Furthermore, different fuzzy operators are compared, as well as regular and two-sided Gaussian functions.
Both noise‐floor and tissue compartment difference in diffusivity contribute to FA dependence on b‐value in diffusion MRI

Noninvasive diffusion magnetic resonance imaging (dMRI) has been widely employed in both clinical and research settings to investigate brain tissue microstructure. Despite the evidence that dMRI‐derived fractional anisotropy (FA) correlates with white matter properties, the metric is not specific. Recent studies have reported that FA is dependent on the b‐value, and its origin has primarily been attributed to either the influence of microstructure or the noise‐floor effect. A systematic investigation into the inter‐relationship of these two effects is however still lacking. This study aims to quantify contributions of the reported differences in intra‐ and extra‐neurite diffusivity to the observed changes in FA, in addition to the noise in measurements. We used in‐vivo and post‐mortem human brain imaging, as well as numerical simulations and histological validation, for this purpose. Our investigations reveal that the percentage difference of FA between b‐values (pdFA) has significant positive associations with neurite density index (NDI), which is derived from in‐vivo neurite orientation dispersion and density imaging (NODDI), or Bielschowsky's silver impregnation (BIEL) staining sections of fixed post‐mortem human brain samples. Furthermore, such an association is found to be varied with Signal‐to‐Noise Ratio (SNR) level, indicating a nonlinear interaction effect between tissue microstructure and noise. Finally, a multicompartment model simulation revealed that these findings can be driven by differing diffusivities of intra‐ and extra‐neurite compartments in tissue, with the noise‐floor further amplifying the effect. In conclusion, both the differences in intra‐ and extra‐neurite diffusivity and noise‐floor effects significantly contribute to the FA difference associated with the b‐value.
Evidence for human infection with avian influenza A(H9N2) virus via environmental transmission inside live poultry market in Xiamen, China

H9N2 avian influenza virus (AIV) has become prevalent in the live poultry market (LPM) worldwide, and environmental transmission mode is an important way for AIVs to infect human beings in the LPM. To find evidence of human infection with the influenza A(H9N2) virus via environmental contamination, we evaluated one human isolate and three environmental isolates inside LPMs in Xiamen, China. The phylogeny, transmissibility, and pathogenicity of the four isolates were sorted out systematically. As for the H9N2 virus, which evolved alongside the “Avian‐Environment‐Human” spreading chain in LPMs from the summer of 2019 to the summer of 2020, its overall efficiency of contact and aerosol transmissibility improved, which might contribute to the increasing probability of human infection. This study indicated that environmental exposure might act as an important source of human infection in LPMs.
Distributed Recursive Filtering Over Sensor Networks Under Random Access Protocol: When State Saturation Meets Censored Measurement

In this article, a new distributed filtering problem is studied for a class of state-saturated time-varying systems over sensor networks under measurement censoring, where the censored measurements are described by the Tobit measurement model. To curb the data collision and ease communication burden, a random access protocol (RAP) is implemented onto the sensor-to-filter channels to orchestrate the transmission sequence of multiple sensor nodes. The purpose of the addressed problem is to construct a state-saturated distributed filter such that upper bounds (on filtering error covariances) are guaranteed and filter parameters are determined to accommodate both measurement censoring and state saturation under the RAP. By means of matrix difference equations, the desired upper bounds are first acquired and later minimized through appropriately designing filter parameters. Particularly, the sparsity issue with respect to the network topology is tackled via the employing certain matrix simplification technique. A simulation example is finally presented to showcase the applicability of the proposed state-saturated distributed filtering algorithm.
Mobile computed tomography scanner in trailer: a field hospital experience.

OBJECTIVE Our study aimed at examining the use of a mobile computed tomography (CT) trailer in a field hospital. MATERIALS AND METHODS CT images of 540 patients were evaluated retrospectively. The images were subjectively divided into three groups according to their quality (good/moderate/poor). The CT region was divided into six regions (brain/thorax/abdominal pelvis/spinal/extremity/others). Mobile CT examinations were performed with a 128-slice CT scanner. RESULTS The most common clinical indications were trauma (34%) and pneumonia (31%). CT image quality was 95% good, 4.5% moderate and 0.5% poor. The frequency of imaging of regions was 38% thorax, 23.5% brain, 22% abdominal-pelvis, 9% spinal, 6% extremity, 1.5% others. In many cases, significant pathologies were diagnosed. CONCLUSIONS The use of a mobile CT trailer in the field hospital can make a positive contribution to patient management. The ease of assembly, as well as transportation and radiation safety of the mobile CT trailer, are suitable for the conditions of the field hospital.
Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs

Globally, people who inject drugs (PWID) experience some of the fastest-growing HIV epidemics. Network-based approaches represent a powerful tool for understanding and combating these epidemics; however, detailed social network studies are limited and pose analytical challenges. We collected longitudinal social (injection partners) and spatial (injection venues) network information from 2512 PWID in New Delhi, India. We leveraged network analysis and graph neural networks (GNNs) to uncover factors associated with HIV transmission and identify optimal intervention delivery points. Longitudinal HIV incidence was 21.3 per 100 person-years. Overlapping community detection using GNNs revealed seven communities, with HIV incidence concentrated within one community. The injection venue most strongly associated with incidence was found to overlap six of the seven communities, suggesting that an intervention deployed at this one location could reach the majority of the sample. These findings highlight the utility of network analysis and deep learning in HIV program design.
Depressive symptoms and mortality‐findings from Helsinki birth cohort study

Individuals with depression and depressive symptoms have a higher mortality rate than non‐depressed individuals. The increased comorbidity and mortality associated with depression has remained largely unexplained. The underlying pathophysiological differences between depressive subtypes, melancholic and non‐melancholic, may provide some explanation to this phenomenon.