Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of ideological education on students’ mental health during the pandemic: An empirical analysis based on big data and intelligent model

Ideological education is an important part of students’ education. Good ideological education can greatly reduce students’ mental health problems. Based on relevant theories of psychology, this study analyzes how psychological crises can be warned against through continuous observation of emotions. Further, a psychological crisis warning model is built based on education big data, providing innovative observation methods and ideas for warning college students about psychological crises. The core idea of the model is that stress events are the external cause and personality and mood changes are the internal causes. The calculation, based on the evaluation of stress events and personality, can draw on different types of emotions and emotional threshold intensities to judge emotions. At the same time, the evaluation is based on time sequences of mood changes to judge the psychological crises that college students face by the level of risk. Combining psychological knowledge and machine learning methods, this study proposes a psychological crisis warning algorithm based on educational data, which predicts the duration and intensity of emotions by calculating stressful events and emotional attenuation. The simulation results show that the proposed algorithm can reflect the emotional changes of college students when they are subjected to stress events, and the effectiveness of the proposed algorithm is preliminarily verified. We conducted timely psychological intervention for the students who received negative stimuli, and the results show that timely psychological intervention and ideological education support are necessary and helpful.
Fabric-based flexible thermoelectric generators: Design methods and prospects

At the beginning of the 21st century, micro-nano processing technology has developed rapidly, and research on wearable electronic devices has exploded. In particular, flexible thermoelectric materials and thermoelectric generators (TEGs) that have stretchable or foldable properties have been widely studied. Textile-based thermoelectric materials are more suitable for use on the human body than are film or block types of devices, and they are accordingly favoured for wearable smart devices. The design idea of textile thermoelectric materials include the preparation of thermoelectric fibres, textiles, fabric-based films and some novel methods, like using three-dimensional modules to become two-dimensional fabrics by a weaving method, which not to rely something as a base for TE modules. Investigators are thus gaining opportunities to make comfortable and effective fabric TEGs using a wider variety of materials. This article briefly introduces the common methods used to produce textile TEGs. The opportunities and challenges of fabric TEGs are discussed at the end.
Porcine cGAS-STING signaling induced autophagy inhibits STING downstream IFN and apoptosis

The innate immune DNA sensing cGAS-STING signaling pathway has been widely recognized for inducing interferons (IFNs) and subsequent antiviral state. In addition to IFN, the cGAS-STING pathway also elicits other cell autonomous immunity events including autophagy and apoptosis. However, the downstream signaling events of this DNA sensing pathway in livestock have not been well defined. Here, we systematically analyzed the porcine STING (pSTING) induced IFN, autophagy and apoptosis, revealed the distinct dynamics of three STING downstream events, and established the IFN independent inductions of autophagy and apoptosis. Further, we investigated the regulation of autophagy on pSTING induced IFN and apoptosis. Following TBK1-IRF3-IFN activation, STING induced Atg5/Atg16L1 dependent autophagy through LIR motifs. In turn, the autophagy likely promoted the pSTING degradation, inhibited both IFN production and apoptosis, and thus restored the cell homeostasis. Therefore, this study sheds lights on the molecular mechanisms of innate immunity in pigs.
Relations between character strengths, school satisfaction, enjoyment of learning, academic self-efficacy, and school achievement: An examination of various aspects of positive schooling

This study is embedded in the theoretical framework of the engine model of positive schooling. Accordingly, relations were investigated between students’ endogenous input variables (i.e., character strengths), process variables (i.e., school satisfaction, enjoyment of learning, and academic self-efficacy), and school achievement as an outcome variable. A sample of 300 students (between 10 and 17 years of age) completed web-based self-report measures for all key variables. Specific character strengths (e.g., love of learning, zest, hope, perseverance, and perspective) were substantially positively related to school satisfaction, enjoyment of learning, academic self-efficacy, and/or school achievement. Exploratory mediation analyses supported the basic assumption that processes (i.e., school satisfaction, enjoyment of learning, and academic self-efficacy) mediate the relations between character strengths as input variables and school achievement as an outcome variable. The findings underline the benefit of studying inputs, processes, and outcomes simultaneously to better understand the interplay among relevant variables in the context of positive schooling.
Association between rheumatoid arthritis and thyroid dysfunction: A meta-analysis and systematic review

Objective Rheumatoid arthritis (RA) is an autoimmune disorder. Multiple studies have investigated the risk of thyroid dysfunction in patients with RA but have reached conflicting conclusions. This systematic review aimed to determine whether patients with RA are at higher risk of thyroid dysfunction. Methods We comprehensively reviewed online literature databases, including PubMed, Scopus, Embase, and the Cochrane Library, from their respective inception dates to March 25, 2022. Studies that provided data on at least one case of thyroid dysfunction in RA patients and their controls were included. Based on these data, we calculated pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) for thyroid dysfunction in RA and non-RA patients. Results Twenty-nine studies met the inclusion criteria, involving a total of 35,708 patients with RA. The meta-analysis showed that, compared with non-RA patients, RA patients had an increased risk of developing thyroid dysfunction, particularly hypothyroidism (OR 2.25, 95% CI 1.78–2.84). Subgroup analysis suggested that study type and sample source of control group were the source of heterogeneity. Conclusions Patients with RA are at increased risk of developing thyroid dysfunction, especially hypothyroidism. Routine biochemical examination of thyroid function in RA patients should be strengthened. Larger prospective studies are needed to explore the causal relationship between RA and thyroid dysfunction, and to investigate the impact of thyroid dysfunction on RA disease activity, drug efficacy, and medication safety. Systematic review registration https://www.crd. york.ac. uk/prospero/, identifier CRD42022331142.
Immune regulation and emerging roles of noncoding RNAs in Mycobacterium tuberculosis infection

Tuberculosis, caused by Mycobacterium tuberculosis, engenders an onerous burden on public hygiene. Congenital and adaptive immunity in the human body act as robust defenses against the pathogens. However, in coevolution with humans, this microbe has gained multiple lines of mechanisms to circumvent the immune response to sustain its intracellular persistence and long-term survival inside a host. Moreover, emerging evidence has revealed that this stealthy bacterium can alter the expression of demic noncoding RNAs (ncRNAs), leading to dysregulated biological processes subsequently, which may be the rationale behind the pathogenesis of tuberculosis. Meanwhile, the differential accumulation in clinical samples endows them with the capacity to be indicators in the time of tuberculosis suffering. In this article, we reviewed the nearest insights into the impact of ncRNAs during Mycobacterium tuberculosis infection as realized via immune response modulation and their potential as biomarkers for the diagnosis, drug resistance identification, treatment evaluation, and adverse drug reaction prediction of tuberculosis, aiming to inspire novel and precise therapy development to combat this pathogen in the future.
A Tabu Search Heuristic for the Vehicle Routing Problem

The purpose of this paper is to describe TABUROUTE, a new tabu search heuristic for the vehicle routing problem with capacity and route length restrictions. The algorithm considers a sequence of adjacent solutions obtained by repeatedly removing a vertex from its current route, and reinserting it into another route. This is done by means of a generalized insertion procedure previously developed by the authors. During the course of the algorithm, infeasible solutions are allowed. Numerical tests on a set of benchmark problems indicate that tabu search outperforms the best existing heuristics, and TABUROUTE often produces the bes known solutions. (A)
ESG performance, auditing quality, and investment efficiency: Empirical evidence from China

Dramatic changes in the business environment have created demands for additional information such as management discussions, governance information, and financial statement notes that go beyond the coverage of traditional financial reporting. Environmental, social, and governance (ESG) information can help gain stakeholder trust, reduce transaction costs, and improve investment efficiency. Taking Chinese A-share listed companies from 2011 to 2020 as a sample, we run fixed effect regressions to test the effect of ESG performance on investment efficiency. ESG performance is measured with the ESG score from the Bloomberg database. The results show that (a) good ESG performance significantly improves investment efficiency, (b) auditing quality partially mediates the relationship between ESG performance and investment efficiency, and (c) the role of ESG performance is stronger in non-state-owned enterprises, undeveloped regions, and firms with low accounting information quality. This paper contributes to the literature on ESG performance and provides references for ESG practice and sustainable corporate development in emerging countries.
Promoting positive physical activity behaviors for children and adolescents undergoing acute cancer treatment: Development of the CanMOVE intervention using the Behavior Change Wheel

Background Increasing participation in physical activity has the potential to improve outcomes for children and adolescents with cancer during treatment and into survivorship. The aim of this study is to outline the theoretical process behind development of CanMOVE, a behavior change intervention designed to increase physical activity for children and adolescents with cancer. Study design This study followed a theoretical design process consistent with the Behavior Change Wheel to inform the design of a complex intervention. Materials and methods The three stages of the Behavior Change Wheel intervention design process include: (1) understanding physical activity behavior within the pediatric cancer setting, (2) identifying potential intervention functions, and (3) identifying appropriate behavior change and implementation strategies. Qualitative and behavior change literature relevant to the pediatric cancer treatment setting were used to inform each stage. Results An individualized and flexible approach to physical activity promotion that considers intrinsic factors specific to the child/adolescent and their environment is required. Fifteen behavioral change strategies were identified to form the intervention components of CanMOVE. Implementation strategies were identified to build motivation, opportunity and capacity toward increasing physical activity behaviors. Key intervention components of CanMOVE include standardized assessment and monitoring (physical activity, physical function, and health-related quality of life), provision of an activity monitor to both child/adolescent and parent, and one-on-one capacity building sessions with a healthcare professional. Capacity building sessions include education, goal setting, an active supervised physical activity session, barrier identification and problem solving, and action planning. Conclusion CanMOVE is a novel approach to physical activity promotion in the pediatric cancer treatment setting. The use of a theoretical intervention design process will aid evaluation and replication of CanMOVE when it is assessed for feasibility in a clinical setting. The design process utilized here can be used as a guide for future intervention development.
Metagenomic and metabolomic analyses show correlations between intestinal microbiome diversity and microbiome metabolites in ob/ob and ApoE−/− mice

Obesity and atherosclerosis are the most prevalent metabolic diseases. ApoE−/− and ob/ob mice are widely used as models to study the pathogenesis of these diseases. However, how gut microbes, gut bacteriophages, and metabolites change in these two disease models is unclear. Here, we used wild-type C57BL/6J (Wt) mice as normal controls to analyze the intestinal archaea, bacteria, bacteriophages, and microbial metabolites of ob/ob and ApoE−/− mice through metagenomics and metabolomics. Analysis of the intestinal archaea showed that the abundances of Methanobrevibacter and Halolamina were significantly increased and decreased, respectively, in the ob/ob group compared with those in the Wt and ApoE−/− groups (p < 0.05). Compared with those of the Wt group, the relative abundances of the bacterial genera Enterorhabdus, Alistipes, Bacteroides, Prevotella, Rikenella, Barnesiella, Porphyromonas, Riemerella, and Bifidobacterium were significantly decreased (p < 0.05) in the ob/ob mice, and the relative abundance of Akkermansia was significantly decreased in the ApoE−/− group. The relative abundances of A. muciniphila and L. murinus were significantly decreased and increased, respectively, in the ob/ob and ApoE−/− groups compared with those of the Wt group (p < 0.05). Lactobacillus_ prophage_ Lj965 and Lactobacillus _ prophage _ Lj771 were significantly more abundant in the ob/ob mice than in the Wt mice. Analysis of the aminoacyl-tRNA biosynthesis metabolic pathway revealed that the enriched compounds of phenylalanine, glutamine, glycine, serine, methionine, valine, alanine, lysine, isoleucine, leucine, threonine, tryptophan, and tyrosine were downregulated in the ApoE−/− mice compared with those of the ob/ob mice. Aminoacyl-tRNA synthetases are considered manifestations of metabolic diseases and are closely associated with obesity, atherosclerosis, and type 2 diabetes. These data offer new insight regarding possible causes of these diseases and provide a foundation for studying the regulation of various food nutrients in metabolic disease models. Graphical Abstract Overall experimental design.
A review of cardiac troponin I detection by surface enhanced Raman spectroscopy: Under the spotlight of point-of-care testing

Cardiac troponin I (cTnI) is a biomarker widely related to acute myocardial infarction (AMI), one of the leading causes of death around the world. Point-of-care testing (POCT) of cTnI not only demands a short turnaround time for its detection but the highest accuracy levels to set expeditious and adequate clinical decisions. The analytical technique Surface-enhanced Raman spectroscopy (SERS) possesses several properties that tailor to the POCT format, such as its flexibility to couple with rapid assay platforms like microfluidics and paper-based immunoassays. Here, we analyze the strategies used for the detection of cTnI by SERS considering POCT requirements. From the detection ranges reported in the reviewed literature, we suggest the diseases other than AMI that could be diagnosed with this technique. For this, a section with information about cardiac and non-cardiac diseases with cTnI release, including their release kinetics or cut-off values are presented. Likewise, POCT features, the use of SERS as a POCT technique, and the biochemistry of cTnI are discussed. The information provided in this review allowed the identification of strengths and lacks of the available SERS-based point-of-care tests for cTnI and the disclosing of requirements for future assays design.
Extreme total electron content along satellite‐to‐satellite ray paths

This paper reports results from an investigation into possible total electron content (TEC) on ray paths between GPS satellites and satellites in geostationary orbit. The Sheffield University Plasmasphere Ionosphere Model (SUPIM) has been used to estimate the TEC for conditions appropriate to solar maximum as a first step to assessing possible errors in the potential use of the navigation satellites for station keeping in the geostationary orbit. It has been found that in general, for paths through the plasmasphere, where the satellite‐to‐satellite geometry is far removed from eclipse by the Earth's horizon, the TEC is usually less than 20 TECU (total electron content units, 1 TECU = 1016 el m−2) with resultant errors in single‐frequency GPS positioning of a only a few meters. However, when the rays cross the equatorial F2 ionosphere at near‐grazing incidence close to the layer peak, TEC of up to some 2000 TECU have been found, with consequent potential single‐frequency GPS positioning uncertainties of hundreds of meters. The exact magnitudes of the TEC are very dependent on the precise geometry and vary significantly with time, so they would be difficult to simulate in any real‐time, model‐based mitigation system.
Sorting nexin 17 increases low-density lipoprotein receptor-related protein 4 membrane expression: A novel mechanism of acetylcholine receptor aggregation in myasthenia gravis

Myasthenia gravis (MG) is characterized by autoimmune damage to the postsynaptic membrane of the neuromuscular junction (NMJ) with impaired postsynaptic acetylcholine receptor (AChR) aggregation. Low-density lipoprotein receptor-related protein 4 (LRP4) plays an important role in AChR aggregation at endplate membranes via the Agrin–LRP4–muscle-specific receptor tyrosine kinase (MuSK) cascade. Sorting nexin 17 (SNX17) regulates the degradation and recycling of various internalized membrane proteins. However, whether SNX17 regulates LRP4 remains unclear. Therefore, we examined the regulatory effects of SNX17 on LRP4 and its influence on AChR aggregation in MG. We selected C2C12 myotubes and induced LRP4 internalization via stimulation with anti-LRP4 antibody and confirmed intracellular interaction between SNX17 and LRP4. SNX17 knockdown and overexpression confirmed that SNX17 promoted MuSK phosphorylation and AChR aggregation by increasing cell surface LRP4 expression. By establishing experimental autoimmune MG (EAMG) mouse models, we identified that SNX17 upregulation improved fragmentation of the AChR structure at the NMJ and alleviated leg weakness in EAMG mice. Thus, these results reveal that SNX17 may be a novel target for future MG therapy.
Cluster Synchronization of Nonlinearly Coupled Lur'e Networks with Non-identical Nodes under Adaptive Pinning Control

The problem of global adaptive cluster synchronization in complex dynamic networks formed by nonlinear Lur'e systems with asymmetrical and non-identical couplings is investigated in this paper. Only Lur'e systems in the current cluster with direct connectivity to other clusters are controlled by an efficient pinning feedback controller. The Lyapunov stability theorem, the S-procedure, the emphS-procedure, and other mathematical analysis are used to derive certain conditions that ensure the cluster synchronization's realization. Furthermore, the adaptive update laws given are employed to acquire the optimal feedback control gains. Ultimately, one numerical simulation is provided to verify the obtained results.
Cost-Effective Real-time Parking Space Occupancy Detection System

The improvement of the efficiency of parking space usage in big cities is a key factor which can lead to reduced pollution, vast amounts of time saved by drivers, and reduced space needed for additional parking. Information gathered by parking space occupancy detection can be used to make smart decisions about future infrastructure improvements as well as for active traffic re-routing. In this paper, we take a look at the existing widely used parking space occupancy detection systems and analyze their drawbacks. As a solution to some of these drawbacks, we present the design and implementation of a cost-efficient parking space occupancy detection system that utilizes computer vision techniques for image classification on low-cost hardware. Lastly, we evaluate the feasibility of such a system in real-life conditions.
Nitride Semiconductor Quantum Dots - Mathematical Models of the Electronic Spectrum and Methods for its Simulation

A mathematical model the solutions of which make it possible to effectively calculate the electronic spectrum in nitride semiconductor nanosystems with spherical geometry - quantum dots is proposed. An approach is formulated and substantiated for taking into account the components of the electronic Hamiltonian due to the influence of correlation effects, size quantization effects, and internal fields arising in nitride semiconductors due to their anisotropy. Calculations of the electronic spectrum and its dependencies, performed on the basis of the proposed model, show good agreement between the obtained and experiment results in a wide range of changes in the geometric parameters of the nanosystem under study.
Small Signal Modeling of Series-Parallel-Connected Battery Energy Storage System with SOC Balancing Control

This paper presents a small signal modeling method for a series-parallel connected battery energy storage system. In this system, each battery cell is paired with a low-power distributed DC-DC converter, which is then connected in parallel at the output to compose a battery module. The outputs of each battery module are then connected in series to form the whole battery pack. An SOC balance controller is presented to realize the SOC balance between parallel cells within modules and between multiple battery modules within the pack. The stability of the battery system with SOC balancing controller is validated by small-signal model analysis.
Railway track circuit fault diagnosis using 1DCNN considering locality dependencies and multiscale feature fusion

Railway track circuit plays a vital part in railway signal system. Accurate detection and identification of faults in track circuits are crucial for the safety of rail transportation. In this paper, a novel framework based on one-dimensional convolutional neural network with multiscale feature fusion is presented for detecting the faults of track circuits via condition monitoring data. Locality dependencies among the monitoring variables are innovatively noticed and explained. Convolution layers in one-dimensional convolutional neural network are used to learn these dependencies. Parallel, serial and dense — three multiscale feature fusion methods are proposed to further enhance the performance of feature learning and diagnosis. Multiscale feature fusion captures more rich diagnosis information at different scales. The experimental results and the comprehensive comparison analysis with respect to the traditional classifiers have demonstrated the superiority of the proposed method. The dense feature fusion produces the most robust and reliable promotion on fault diagnosis performance among the three proposed multiscale feature fusion methods.