Miracle-dz/UniFAR-FTUs huggingface dataset:
Increased COVID-19-related workplace bullying during its outbreak: a 2-month prospective cohort study of full-time employees in Japan

Objectives: This 2-month cohort study aimed to investigate the changing prevalence and factors associated with COVID-19-related workplace bullying among the general workers in Japan. Methods: A baseline survey was conducted of 4,120 full-time workers at Time 1 (March 2020) and they were invited to a follow-up survey at Time 2 (May 2020) after the outbreak of COVID-19 in Japan. The prevalence of COVID-19-related workplace bullying was compared between Time 1 and Time 2 by using McNemar’s test. Multiple logistic regression analysis was conducted to investigate the associations between occupation (health care and non-health care workers), socioeconomic status, living in areas under the national emergency announcement, workplace measures against COVID-19, occupational class, chronic physical comorbidities, chronic mental comorbidities, and COVID-19-related workplace bullying at Time 2, adjusting for that at Time 1. Results: A total of 1,421 responded to the survey at Time 2. Data from 996 respondents after excluding 36 who retired during the follow-up were analyzed. The prevalence of COVID-19-related workplace bullying increased more than double from Time 1 (2.8%) to Time 2 (6.5%). Being a manual worker (OR =3.80), having higher education (OR =2.37), and having chronic physical comorbidity (OR =2.11) was significantly associated with the COVID-19-related workplace bullying at Time 2. Conclusions: COVID-19-related workplace bullying increased during the outbreak of COVID-19 in Japan. A lower-class occupation (manual workers) and having chronic physical comorbidity may be associated with greater victimization of COVID-19-related workplace bullying, while those with high educational attainment may be more sensitive to it.
A novel modeling approach for evaluating microbial mechanism and design of contact stabilization process

BACKGROUND The paper offered a novel interpretation for the microbial mechanisms and evaluated the assets of contact stabilization (CS) using multi-component modelling. A model structure re-defining microbial processes was adopted, where the function of the contact tank was limited to the utilization of soluble substrate fractions and that of the stabilization tank essentially involved endogenous decay and removal of the adsorbed particulate substrate. RESULTS The model was used to simulate the microbial behaviour and performance of the CS in comparison with a conventional activated sludge system (CAS), at an SRT range between 6-15 d. The results were confirmed by a stoichiometric description of the process using relevant mass balance relationships, which identified the role of major parameters on system behaviour and performance. A rational design procedure of the process was proposed based on modelling and process stoichiometry. CONCLUSION CS process could achieve effective carbon removal in a much smaller footprint and/or aeration volume with respect to CAS, due to its ability to work at significantly higher volumetric organic loadings; its flexibility to be operated at much higher SRT as compared with CAS with the same HRT, allowed minimizing sludge production and sustaining a microbial composition also supporting nitrification. However, process stoichiometry reflected that the CS process, despite its significant advantages, should not be considered as a suitable candidate for maximizing sludge harvest and energy recovery.
An Approach to the Diastereoselective Synthesis of Cyclohexane-1,3-dicarboxamide Derivatives via a Pseudo Five-Component Reaction Based on Diketene

Abstract A one-pot pseudo five-component reaction for the synthesis of 2-aryl-4-hydroxy-4-methyl-6-oxo-N 1,N 3-dialkylcyclohexane-1,3-dicarboxamide derivatives involving different primary amines, various aromatic aldehydes, and diketene in the presence of triethylamine with high yields is achieved.
Strongly correlated doped hole carriers in the superconducting nickelates: Their location, local many-body state, and low-energy effective Hamiltonian

The families of high-temperature superconductors recently welcomed a new member: hole-doped nickelate ${\mathrm{Nd}}_{0.8}{\mathrm{Sr}}_{0.2}{\mathrm{NiO}}_{2}$ with a $\ensuremath{\sim}15\phantom{\rule{0.28em}{0ex}}\mathrm{K}$ transition temperature. To understand its emergent low-energy behaviors and experimental properties, an immediate key question is whether the superconducting hole carriers reside in oxygen as in the cuprates or in nickel as in most nickelates. We answer this crucial question via a $(\mathrm{LDA}+U)+\mathrm{ED}$ scheme: deriving an effective interacting Hamiltonian of the hole carriers from density functional $\mathrm{LDA}+U$ calculation and studying its local many-body states via exact diagonalization. Surprisingly, distinct from the expected ${\mathrm{Ni}}^{2+}$ spin-triplet state found in most nickelates, the local ground state of two holes is actually a Ni-O spin-singlet state with the second hole greatly residing in oxygen. The emerged eV-scale model therefore resembles that of the cuprates, advocating further systematic experimental comparisons. Tracing the microscopic origin of this unexpected result to the lack of apical oxygen in this material, we proposed a route to increase superconducting temperature and a possible quantum phase transition absent in the cuprates.
Carbon nanofiber supported Pt nanoparticles with an accurate size control through copolymer stabilization and chemical reduction for PEM fuel cell application

A one-pot microwave-assisted synthesis method was developed to produce scalable carbon nanofiber (CNF) supported platinum nanoparticle catalysts through an in-situ polymer-based technique. CNF-supported Pt samples were synthesized through electrospinning of poly(acrylonitrile-co-N-vinylpyrrolidone) (P(AN-co-nVP)) copolymer containing PtCl2 salt and consequent microwave reduction within hydrazine hydrate solution and carbonization. The aim of this study was to achieve a precise control on the size and distribution of the Pt nanoparticles by benefiting from a copolymer random templating and rapid microwave reduction. Prior to the application of microwave reduction on nanofibers, the pure effect of various carbonization temperatures (from 600 C up to 1000 C) on growth of Pt particles was studied. The carbonization at 800 C was observed to represent a homogenous particle size distribution and the highest electroactive surface area (ECSA). Two types of samples were synthesized using microwave-assisted reduction – CNT-free and CNT-containing. The microwave irradiation for various time intervals (15s – 120s) was applied on both the CNT-free and the CNT-containing electrospun nanofibers with PtCl2. By selectively changing the process conditions, the minimum average size of 1.751 nm in diameter was obtained in the case of CNT-free samples while 0.862 nm nanoparticles with a narrow size distribution was achieved for the CNT-containing samples for the first time. The mean Pt particle size was increased as a function of microwave irradiation time. The ECSA values obtained for CNT-free samples demonstrated a maximum activity for sample treated for 30 s, despite the smaller Pt particle size in the 15 s-treated sample. This behavior was attributed to the lower amount of accessible Pt particles on the fiber surface. In the case of CNT-containing samples the best catalytic activity (82.55 m2g-1) was observed for 15s microwave reduction, which was hypothesized to be as a result of the significantly higher number of Pt cluster nucleated near the surface of the CNFs, a higher surface area due to the presence of CNTs and a higher electrical conductivity.
Disconnected Data Access Architecture using ADO.NET Framework

A significant aspect of any software application is the creation, storage, processing, transmission, and access to data. ADO.NET is the data access component for the . NET Framework of the Microsoft. This component used by . NET products to communicate with a database for recording, fetching, and updating data and also to support all type of databases. It has collections of classes, interfaces, and structures for managing the data access from different databases. ADO.NET bridges the . NET application and database communication through XML to exchange data and add many new program interfaces to access the database. This paper introduces the structure, feature and inbuilt object of the ADO.NET technology and analysis database access technique of the ADO.NET. The paper also analyses the method of the ADO.NET connection with various types of database.
Supervised Self-Collected SARS-Cov-2 Testing in Classroom-Based Summer Camps to Inform Safe In-Person Learning

Objectives: To evaluate the acceptability and feasibility of serial, self-collected non-nasopharyngeal samples for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing in school-like settings, and describe adherence to infection mitigation strategies. Methods: We performed a cohort study in classroom-based day camps during summer 2020 in San Francisco, California. We assessed participation rates at two time points among campers, adult household contacts, and camp staff for self-collecting anterior nares samples for reverse transcription polymerase chain reaction (RT-PCR) and saliva samples for antibody testing. We qualitatively assessed sampling feasibility and observed adherence to camp infection mitigation policies. Results: 76% (186/246) of eligible participants consented; all consented campers and staff present at both time points completed test collection. No virus was detected by RT-PCR; seven participants had antibodies. Testing was feasible to implement, and adherence to stated camp policies was generally high. Conclusions: Supervised, self-collected serial anterior nasal and saliva-based SARS-CoV-2 testing was acceptable and feasible in school-like setting, including by children ages 5-14. This strategy for testing, and the observed infection mitigation practices, comprise potential components permitting safe in-person learning.
Immobilization of Bovine Serum Albumin on Polytetrafluoroethylene for Application as a Potential Solid Support for Biosensor Development with Visual Detection

ABSTRACT Immobilization of biomolecules on polymers is attractive for developing new biosensors and analytical methods. Polytetrafluoroethylene, PTFE (Teflon), is a low-cost polymer that has unique chemical and physicochemical properties. In this work, PTFE was investigated as a solid support for biosensor development. Bovine serum albumin (BSA) was immobilized directly on PTFE thin films without pretreatment. BSA was biotinylated, while the immobilization was controlled by the formation of visual spots using either streptavidin–fluorescein or streptavidin–gold nanoparticle conjugates. The visualization of the spots was accomplished by the naked eye (red spots) or a digital camera that captures the emitted fluorescence (green spots). The signal-to-background ratio was determined for both detection systems and was equal to 24.4 and 58.4 for streptavidin–fluorescein and streptavidin–gold nanoparticles, respectively.
Ti3+ Self-Doped Black TiO2 Nanotubes with Mesoporous Nanosheet Architecture as Efficient Solar-Driven Hydrogen Evolution Photocatalysts

Ti3+ self-doped black TiO2 nanotubes (TDBTNs) with mesoporous nanosheet architecture have been successfully synthesized by solvothermal method combined with ethylenediamine encircling strategy to protect mesoporous frameworks, then calcined at 600 °C under hydrogen atmosphere. In this case, ethylenediamine molecules play important roles on maintaining the mesoporous networks and inhibiting the phase transformation from anatase-torutile effectively. The as-prepared TDBTNs with mesoporous nanosheet architecture possess a relatively high specific surface area of ∼95 m2 g–1 and an average pore size of ∼15.6 nm. The reduced bandgap of ∼2.87 eV extends the photoresponse from ultroviolet to visible light region due to the Ti3+ self-doping. The solar-driven photocatalytic hydrogen evolution rate for TDBTNs is approximately 3.95 mmol h–1 g–1, which is much better (about four times) than that of the pristine one (∼0.94 mmol h–1 g–1). This improvement is attributed to the reduced bandgap increasing the utilization r.
Comprehensive Data Analysis of Single Nucleotide Polymorphism (Snps) in Human FOXP3 Gene

Background: The FOXP3 gene provides instructions for producing the forkhead box P3 (FOXP3) protein. The FOXP3 protein attaches (binds) to specific regions of DNA and helps control the activity of genes that are involved in regulating the immune system. Aim: This study intended to analyze SNPs in FOXP3 gene in the coding region, 5`UTR and 3`UTR using bioinformatics tools and visualizing the 3D structure of the gene. Methods: SNPs were retrieved from NCBI, and the protein sequences were retrieved from UniprotKB. SIFT and Provean software was used to predict whether the nsSNPs were tolerated or deleterious. Polyphen-2 for nsSNPs function prediction on the produced protein.I-mutant and Mupro software to check the protein stability, finally PHD software to see whether the nsSNPs were related to a disease or not.Regulomedb to predict the regulatory element for 5`UTR region. For the 3`UTR PolymiRTs database to predict the variation in microRNA (miRNA). FuncPred software to show the unknown function for the selected SNPs.TheI-TASSER to visualize the 3D structure. Results: A total of 205 SNPs were retrieved, 180 SNPs in the CDS region, 20 in 3`UTR, 5in 5`UTR. SIFT prediction resulted in 93 deleterious and 87 toleratednsSNPs, Proveanrevealed60 deleterious and 120 tolerated,Polyphen-2 resulted in 29 probably damaging,11 possiblydamaging, 3 benign and 2 no result. I-mutant showed 12nsSNPs increasing, and 25 decreasing the protein stability, MUpro resulted in 3nsSNPs increasing the protein stability and 42 decreasing the protein stability, PHD resulted in 17 nsSNPs as disease related and 28 as neutral. For noncoding SNPs, Regulomedb resulted in 11 SNPs, PolymiRTs result in 11, and FuncPred result. Conclusion : The analysis of FOXP3 gene showed that from 205 nsSNPs only 11 SNPs are highly damaging and 20 SNPs found in the 3UTR region which predicts its function using different methods. Still bioinformatics software have their limitations, the results from this study may be convenient in future for further population based research activities and towards development of perfect medicines.
A Semantic Neighborhood Approach to Relatedness Evaluation on Well-Founded Domain Ontologies

In the context of natural language processing and information retrieval, ontologies can improve the results of the word sense disambiguation (WSD) techniques. By making explicit the semantics of the term, ontology-based semantic measures play a crucial role to determine how different ontology classes have a similar or related meaning. In this context, it is common to use semantic similarity as a basis for WSD. However, the measures generally consider only taxonomic relationships, which negatively affects the discrimination of two ontology classes that are related by the other relationship types. On the other hand, semantic relatedness measures consider diverse types of relationships to determine how much two classes on the ontology are related. However, these measures, especially the path-based approaches, have as the main drawback a high computational complexity to calculate the relatedness value. Also, for both types of semantic measures, it is unpractical to store all similarity or relatedness values between all ontology classes in memory, especially for ontologies with a large number of classes. In this work, we propose a novel approach based on semantic neighbors that aim to improve the performance of the knowledge-based measures in relatedness analysis. We also explain how to use this proposal into the path and feature-based measures. We evaluate our proposal on WSD using an existent domain ontology for well-core description. This ontology contains 929 classes related to rock facies. Also, we use a set of sentences from four different corpora on the Oil&Gas domain. In the experiments, we compare our proposal with stateof-the-art semantic relatedness measures, such as path-based, feature-based, information content, and hybrid methods regarding the F-score, evaluation time, and memory consumption. The experimental results show that the proposed method obtains F-score gains in WSD, as well as a low evaluation time and memory consumption concerning the traditional knowledge-based measures.
Effects of Miao sour soup on hyperlipidemia in high‐fat diet‐induced obese rats via the AMPK signaling pathway

Abstract Hyperlipidemia is a common characteristic of obese animals. Identifying the factors involved in the regulation of dietary lipid metabolism is the most beneficial way to improve health. Miao sour soup (MSS) is a fermented food made from tomato and red pepper that contains lycopene, capsaicin, and organic acids. We conducted this study to investigate the regulatory functions and mechanisms of MSS on the blood lipid levels of high‐fat diet‐induced obese rats. In our preventive study, rats were fed normal diet (ND1), high‐fat diet (HFD1), HFD + 4 g/kg BW MSS (HFD + LS1), and HFD + 8 g/kg BW MSS (HFD + HS1). We found that MSS significantly reduced the body weight and fat accumulation and improved the blood lipid levels of rats. MSS significantly increased the expression of AMP‐activated protein kinase‐alpha (AMPKα), attenuated the expression of the adipogenic transcription factor sterol regulatory element‐binding protein‐1c (SREBP‐1c), and suppressed the expression of fatty acid synthase (FAS) and acetyl‐CoA carboxylase alpha (ACCα), the critical regulators of hepatic lipid metabolism. Additionally, we also conducted a treatment study, and we grouped rats to receive ND2, HFD2, PC2, HFD + LS2, and HFD + HS2 for another 10 weeks. MSS treatment reduced the body weight, fat deposition, and percentage of lipid droplets and regulated the plasma lipid content. MSS significantly increased the expression of AMPK and alleviated the expression of SREBP‐1c, ACC, and FAS. Taken together, these findings suggest that MSS prevents and treats hyperlipidemia in obese rats by regulating the AMPK signaling pathway.
Microbial characterization of the Japanese traditional pickle senmaizuke produced by two different manufacturing processes

Abstract Senmaizuke, a traditional turnip pickle, prepared in Kyoto, Japan, is produced via two types of manufacturing processes: with and without vinegar for fermentation. The aim of this study was to reveal the microbial community and growth behavior in the products and manufacturing processes of two types of senmaizuke. Microbial growth analysis of commercial senmaizuke products showed that both types harbored 102–108 colony forming units (CFU)/g of lactic acid bacteria (LAB) and 102–104 of yeast. The fermented‐type products showed successive growth of LAB during the pickling and ripening processes, whereas LAB in vinegar‐type products showed growth only at the preliminary pickling step before vinegar addition; however, the bacteria were viable at the ripening step. LAB in the vinegar‐type products showed growth when the pH of the pickle was neutralized, indicating that acidification via vinegar retards LAB growth. Metagenomic sequencing showed that the fermented‐type products harbored Lactobacillus, Leuconostoc, and other halophilic and psychrophilic bacteria, with a higher bacterial diversity than in the vinegar‐type products. In the vinegar‐type products, Lactobacillus, Leuconostoc, or both were predominant. Culture tests using LAB isolates and turnip medium suggested that a change in the dominance of Leuconostoc to Lactobacillus members observed in the fermented‐type products during pickling and ripening processes was attributed to the low pH sensitivity of Leuconostoc as well as a relatively long lag phase of growth for adapting to the pickling environment. The findings of this study will be useful for the appropriate quality control and assurance procedure of senmaizuke.
MiR-508-3p promotes proliferation and inhibits apoptosis of middle ear cholesteatoma cells by targeting PTEN/PI3K/AKT pathway

Cholesteatoma of the middle ear is a common disease in otolaryngology, which can lead to serious intracranial and extracranial complications. Recent studies showed that the dysregulation of microRNA may be involved in the formation of middle ear cholesteatoma. This study aimed to explore the regulatory effect of micro ribonucleic acid 508-3p (miR-508-3p) on proliferation and apoptosis of middle ear cholesteatoma cells and excavate its underlying regulatory mechanism. We found miR-508-3p expression was upregulated in tissues and cells of cholesteatoma which was inversely related to the expression of hsa_circ_0000007. Overexpression of miR-508-3p could notably facilitate cholesteatoma cell proliferation. Luciferase reporter assay showed that miR-508-3p bound the 3'-untranslated region of its downstream mRNA PTEN. Gain and loss of functions of miR-508-3p were performed to identify their roles in the biological behaviors of cholesteatoma cells, including proliferation and apoptosis. Rescue assays confirmed that PTEN could reverse the effect of miR-508-3p overexpression on cell proliferation. In a word, this study validated that the development of cholesteatoma may regulated by hsa_circ_0000007/miR-508-3p/ PTEN/ PI3K/Akt axis.
Actuator behaviour modelling in IoT-Fog-Cloud simulation

The inevitable evolution of information technology has led to the creation of IoT-Fog-Cloud systems, which combine the Internet of Things (IoT), Cloud Computing and Fog Computing. IoT systems are composed of possibly up to billions of smart devices, sensors and actuators connected through the Internet, and these components continuously generate large amounts of data. Cloud and fog services assist the data processing and storage needs of IoT devices. The behaviour of these devices can change dynamically (e.g. properties of data generation or device states). We refer to systems allowing behavioural changes in physical position (i.e. geolocation), as the Internet of Mobile Things (IoMT). The investigation and detailed analysis of such complex systems can be fostered by simulation solutions. The currently available, related simulation tools are lacking a generic actuator model including mobility management. In this paper, we present an extension of the DISSECT-CF-Fog simulator to support the analysis of arbitrary actuator events and mobility capabilities of IoT devices in IoT-Fog-Cloud systems. The main contributions of our work are: (i) a generic actuator model and its implementation in DISSECT-CF-Fog, and (ii) the evaluation of its use through logistics and healthcare scenarios. Our results show that we can successfully model IoMT systems and behavioural changes of actuators in IoT-Fog-Cloud systems in general, and analyse their management issues in terms of usage cost and execution time.