Miracle-dz/UniFAR-FTUs huggingface dataset:
Antagonistic Crowd Simulation Model Integrating Emotion Contagion and Deep Reinforcement Learning

—The antagonistic behavior of the crowd often exacerbates the seriousness of the situation in sudden riots, where the spreading of antagonistic emotion and behavioral decision making in the crowd play very important roles. However, the mechanism of complex emotion inﬂuencing decision making, especially in the environment of sudden confrontation, has not yet been explored clearly. In this paper, we propose one new antagonistic crowd simulation model by combing emotional contagion and deep reinforcement learning (ACSED). Firstly, we build a group emotional contagion model based on the improved SIS contagion disease model, and estimate the emotional state of the group at each time step during the simulation. Then, the tendency of group antagonistic behavior is modeled based on Deep Q Network (DQN), where the agent can learn the combat behavior autonomously, and leverages the mean ﬁeld theory to quickly calculate the inﬂuence of other surrounding individuals on the central one. Finally, the rationality of the predicted behaviors by the DQN is further analyzed in combination with group emotion, and the ﬁnal combat behavior of the agent is determined. The method proposed in this paper is veriﬁed through several different settings of experiments. The results prove that emotions have a vital impact on the group combat, and positive emotional states are more conducive to combat. Moreover, by comparing the simulation results with real scenes, the feasibility of the method is further veriﬁed, which can provide good reference for formulating battle plans and improving the winning rate of righteous groups battles in a variety of situations.
Measuring diachronic sense change: New models and Monte Carlo methods for Bayesian inference

In a bag‐of‐words model, the senses of a word with multiple meanings, for example ‘bank’ (used either in a river‐bank or an institution sense), are represented as probability distributions over context words, and sense prevalence is represented as a probability distribution over senses. Both of these may change with time. Modelling and measuring this kind of sense change are challenging due to the typically high‐dimensional parameter space and sparse datasets. A recently published corpus of ancient Greek texts contains expert‐annotated sense labels for selected target words. Automatic sense‐annotation for the word ‘kosmos’ (meaning decoration, order or world) has been used as a test case in recent work with related generative models and Monte Carlo methods. We adapt an existing generative sense change model to develop a simpler model for the main effects of sense and time, and give Markov Chain Monte Carlo methods for Bayesian inference on all these models that are more efficient than existing methods. We carry out automatic sense‐annotation of snippets containing ‘kosmos’ using our model, and measure the time‐evolution of its three senses and their prevalence. As far as we are aware, ours is the first analysis of this data, within the class of generative models we consider, that quantifies uncertainty and returns credible sets for evolving sense prevalence in good agreement with those given by expert annotation.
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient

In this paper, we propose a simple and easy-to-implement Bayesian hypothesis test for the presence of an association, described by Kendall's τ coefficient, between two variables measured on at least an ordinal scale. Owing to the absence of the likelihood functions for the data, we employ the asymptotic sampling distributions of the test statistic as the working likelihoods and then specify a truncated normal prior distribution on the noncentrality parameter of the alternative hypothesis, which results in the Bayes factor available in closed form in terms of the cumulative distribution function of the standard normal distribution. Investigating the asymptotic behaviour of the Bayes factor we find the conditions of the priors so that it is consistent to whichever the hypothesis is true. Simulation studies and a real-data application are used to illustrate the effectiveness of the proposed Bayes factor. It deserves mentioning that the proposed method can be easily covered in undergraduate and graduate courses in nonparametric statistics with an emphasis on students' Bayesian thinking for data analysis.
Structural basis for positive allosteric modulation of AMPA and kainate receptors

This paper summarizes the present knowledge on how positive allosteric modulators (PAMs) interact with the ligand‐binding domain (LBD) of AMPA and kainate receptors, based on structure determinations. AMPA and kainate receptors belong to the family of ionotropic glutamate receptors that are responsible for mediating the majority of fast excitatory neurotransmission. These receptors have been related to brain disorders, e.g. Alzheimer's disease and attention deficit hyperactivity disorder. PAMs are small molecules that potentiate AMPA and kainate receptor currents by interfering with receptor desensitization. Therefore, PAMs are considered to be of interest for the development of pharmacological tools. Whereas PAMs for AMPA receptors have been known for several years, only recently have PAMs for kainate receptors been reported. Today, >80 structures are available for AMPA receptors with PAMs. These PAMs bind at the interface between two LBD subunits in the vicinity of residue 775, which is important for functional differences between flip and flop isoforms of AMPA receptors. PAMs can be divided into five classes based on their binding mode. The most potent PAM reported to date belongs to class 3, which comprises dimerized PAMs. Three structures of the kainate receptor GluK1 were determined with PAMs belonging to class 2. One PAM enhances kainate receptor currents 5‐ to 59‐fold but shows 100‐fold lower potency compared to AMPA receptors. Selective PAMs for kainate receptors will be of great use as pharmacological tools for functional investigations in vivo and might potentially prove useful as drugs in controlling the activity of neuronal networks.
The role of high‐density lipoprotein in the regulation of the immune response: implications for atherosclerosis and autoimmunity

Inflammation and immune dysfunction have been increasingly recognized as crucial mechanisms in atherogenesis. Modifications in cell lipid metabolism, plasma dyslipidaemia and particularly low high‐density lipoprotein (HDL) levels occur both in atherosclerosis and in autoimmune rheumatic diseases (which are strongly associated with an increased risk of atherosclerosis), suggesting the presence of a crucial link. HDL, the plasma lipoprotein responsible for reverse cholesterol transport, is known for its several protective effects in the context of atherosclerosis. Among these, HDL immunomodulatory effects are possibly the less understood. Through the efflux of cholesterol from plasma cell membranes with the consequent disruption of lipid rafts and the interaction with the cholesterol transporters present in the plasma membrane, HDL affects both the innate and adaptive immune responses. Animal and human studies have demonstrated a predominance of HDL anti‐inflammatory effects, despite some pro‐inflammatory actions having also been reported. The HDL role on the modulation of the immune response is further suggested by the detection of low levels together with a dysfunctional HDL in patients with autoimmune diseases. Here, we review the current knowledge of the immune mechanisms of atherosclerosis and the modulatory effects HDL may have on them.
EphA2 as a new target for breast cancer and its potential clinical application.

PURPOSE The aim of this research was to study the expression of EphA2 to assess its suitability as a new breast cancer target. METHODS Immunohistochemistry (IHC) was used to detect EphA2 protein expression in pathology tissue samples from 250 cases of breast cancer, and the expression of EphA2 mRNA was detected by in situ hybridization (ISH). Breast cancer cells were isolated and cultured. The expression of EphA2 in the cells was detected by the indirect immunofluorescence assay (IFA), and the expression of EphA2 in breast cancer was analysed. RESULTS EphA2 protein and mRNA were mainly expressed in tumor cells and vascular endothelial cells. EphA2 protein was expressed in 187 cases, with a positive rate of 74.80%, whereas EphA2 mRNA was expressed in 209 cases, with a positive rate of 83.60%. EphA2 protein and mRNA expression were correlated with lymph node metastasis, clinical stage, and breast cancer histologic grade (P<0.05). In addition, the positive expression rates of EphA2 protein and EphA2 mRNA were correlated (P<0.05). EphA2 was barely expressed in normal breast cells but highly expressed in breast cancer cells. CONCLUSION EphA2 is highly expressed in breast cancer tissues and has the potential to be a new breast cancer target, providing a preliminary basis for the development of new targeted drugs for breast cancer and the construction of fluorescent-targeted tracers for fluorescence-guided mastoscopic breast-conserving surgery.
Selective oxidation of pharmaceuticals and suppression of perchlorate formation during electrolysis of fresh human urine.

Urine comprises only a small (~1%) volumetric fraction of municipal wastewater, but represents a dominant source of pharmaceuticals, many of which may pass through conventional wastewater treatment and pose risks to aquatic ecosystems. Point-source treatment of source-separated urine presents a unique opportunity to degrade pharmaceuticals before dilution with wastewater, and electrochemical advanced oxidation processes are one increasingly investigated option. However, they often lead to the formation of oxidation byproducts including chlorate, perchlorate at very high concentrations. Here, we show that the high urea content of fresh human urine suppresses the formation of oxychlorides by inhibiting formation of HOCl/OCl‒ during electrolysis, while still enabling pharmaceutical degradation due to the slow rate of urea oxidation by •OH. This results in improved performance compared to equivalent treatment of hydrolyzed aged urine. This electrochemical oxidation scheme is shown to degrade the model contaminants cyclophosphamide and sulfamethoxazole with surface-area-to-volume-normalized pseudo-first-order rate constants greater than 0.08 cm/min in authentic fresh human urine. It results in ~100 × decrease in pharmaceutical concentrations in 2 h while generating ~1000 × lower oxychloride byproduct concentrations in synthetic fresh urine than synthetic hydrolyzed aged urine matrixes. Importantly, this proof-of-principle shows that simple and safe electrochemical methods can be used for point-source-remediation of pharmaceuticals in fresh human urine (before storage and hydrolysis), without formation of significant oxychloride byproducts.
HLA‐DPB1 allele frequencies in the West Midlands region of the United Kingdom: A critical evaluation against the common, intermediate and well‐documented allele catalogues CWD 2.0.0, EFI CWD and CIWD 3.0.0

The Birmingham H&I laboratory performed HLA typing on 456 potential deceased solid organ donors in the UK between 2014 and 2016. Accurate DPB1 typing is essential for determining HLA compatibility in transplantation, thus we report HLA‐DPB1 for potential deceased solid organ donors. To correctly interpret HLA typing data, laboratories must understand both international and local HLA allele frequencies. In this analysis, we determined HLA‐DPB1 allele and genotype frequencies for these 456 donors. HLA‐DPB1 diversity was evaluated against the common and well‐documented (CWD) alleles 2.0. 0 catalogue, the European Federation for Immunogenetics (EFI) CWD catalogue and the common, intermediate and well‐documented (CIWD) 3.0. 0 catalogue. Additionally, we determined which alleles are common in our local deceased donor population. We observed 27 HLA‐DPB1 alleles with DPB1*04:01 being the most frequently observed (allele frequency = 0.4342). All alleles detected locally were present in CIWD 3.0. 0, however, DPB1*124:01 and *135:01 were not present in CWD 2.0. 0 and DPB1*104:01 and *135:01 were not present in EFI CWD. Twenty of 27 DPB1 alleles identified were defined as locally common and also listed as common in CIWD 3.0. 0 representing 62.5% of common alleles in the subset of CIWD 3.0. 0 from individuals of a European geographic, ancestral or ethnic background. The alleles HLA‐DPB1*16:01 and *20:01 are locally common but not listed as common in EFI CWD and DPB1*104:01 is not listed as common in CWD 2.0. 0 catalogue. Our analysis showed that the detected alleles and locally common alleles within our population were aligned with the CIWD 3.0. 0 catalogue.
The Effect of War Commemorations on Support for Diplomacy: A Five-Nation Study

We remember the past in order not to repeat it, but does remembrance of war in fact shape support for military or diplomatic approaches to international conflict? In seven samples from five countries (collected online, total N = 2,493), we examined support for military and diplomatic approaches to conflict during war commemorations (e.g., Veterans Day). During war commemorations in the United States, support for diplomacy increased, whereas support for military approaches did not change. We found similar results in the United Kingdom and Australia on Remembrance Day, but not in Germany, or France, nor in Australia on Anzac Day. Furthermore, support for diplomacy was predicted by concern about loss of ingroup military lives during war, independently of concern about harm to outgroup civilians. These studies expand our understanding of how collective memories of war may be leveraged to promote diplomatic approaches to contemporary geopolitical conflict.
Perception of Mental Health Care Professionals in Saudi Arabia on Computerized Cognitive Behavioral Therapy: Observational Cross-sectional Study

Background Mental health disorders are common in Saudi Arabia with a 34% lifetime prevalence. Cognitive behavioral therapy (CBT), a type of psychotherapy, is an evidence-based intervention for the majority of mental disorders. Although the demand for CBT is increasing, unfortunately, there are few therapists available to meet this demand and the therapy is expensive. Computerized cognitive behavioral therapy (cCBT) is a new modality that can help fill this gap. Objective We aimed to measure the knowledge of cCBT among mental health care professionals in Saudi Arabia, and to evaluate their attitudes and preferences toward cCBT. Methods This quantitative observational cross-sectional study used a convenience sample, selecting mental health care professionals working in the tertiary hospitals of Saudi Arabia. The participants received a self-administered electronic questionnaire through data collectors measuring their demographics, knowledge, and attitudes about cCBT, and their beliefs about the efficacy of using computers in therapy. Results Among the 121 participating mental health care professionals, the mean age was 36.55 years and 60.3% were women. Most of the participants expressed uncertainty and demonstrated a lack of knowledge regarding cCBT. However, the majority of participants indicated a positive attitude toward using computers in therapy. Participants agreed with the principles of cCBT, believed in its efficacy, and were generally confident in using computers. Among the notable results, participants having a clinical license and with cCBT experience had more knowledge of cCBT. The overall attitude toward cCBT was not affected by demographic or work-related factors. Conclusions Mental health care professionals in Saudi Arabia need more education and training regarding cCBT; however, their attitude toward its use and their comfort in using computers in general show great promise. Further research is needed to assess the acceptance of cCBT by patients in Saudi Arabia, in addition to clinical trials measuring its effectiveness in the Saudi population.
The biologically active compound of Withania somnifera (L.) Dunal, docosanyl ferulate, is endowed with potent anxiolytic properties but devoid of typical benzodiazepine-like side effects

Background: Clinical and experimental studies support the therapeutic potential of Withania somnifera (WS) (L.) Dunal on anxiety disorders. This potential is attributable to components present in different plant extracts; however, the individual compound(s) endowed with specific anxiolytic effects and potential modulatory activity of the GABAA receptor complex (GABAAR) have remained unidentified until the recent isolation from a WS methanolic root extract of some GABAAR-active compounds, including the long alkyl-chain ferulic acid ester, docosanyl ferulate (DF). Aims: This study was designed to assess whether DF (0.05, 0.25 and 2 mg/kg), similarly to diazepam (2 mg/kg), may exert anxiolytic effects, whether these effects may be significantly blocked by the benzodiazepine antagonist flumazenil (10 mg/kg) and whether DF may lack some of the benzodiazepines’ typical motor, cognitive and motivational side effects. Methods: The behavioural paradigms Elevated Plus Maze, Static Rods, Novel Object Recognition, Place Conditioning and potentiation of ethanol-induced Loss of Righting Reflex were applied on male CD-1 mice. Results: Similarly to diazepam, DF exerts anxiolytic effects that are blocked by flumazenil. Moreover, at the full anxiolytic dose of 2 mg/kg, DF lacks typical benzodiazepine-like side effects on motor and cognitive performances and on place conditioning. Moreover, DF fails to potentiate ethanol’s (3 g/kg) depressant activity at the ethanol-induced Loss of Righting Reflex paradigm. Conclusions: These data point to DF as an effective benzodiazepine-like anxiolytic compound that, in light of its lack of motor, mnemonic and motivational side effects, could be a suitable candidate for the treatment of anxiety disorders.
Seizures after decompressive hemicraniectomy for large middle cerebral artery territory infarcts: Incidence, associated factors, and impact on long‐term outcomes

Decompressive hemicraniectomy (DH) reduces mortality of large middle cerebral artery (MCA) territory infarcts. Survivors are at high risk of poststroke seizures (PSSs). This study aims to describe the incidence of PSSs, to identify associated factors, and to assess their impact on long‐term outcomes.
Photolysis and photocatalytic decomposition of sulfamethazine antibiotics in an aqueous solution with TiO2

Photo-decomposition of sulfamethazine (SMT) involves photolytic and photo-catalytic reactions, which occur simultaneously. The relative contributions of these two reactions to the overall SMT photo-decompositions by TiO2 and the intermediates of SMT photo-decompositions were systematically examined with the effects of TiO2 loading, and the pH and the initial SMT concentrations in the solutions. The apparent rate constants of SMT photo-decomposition reactions, which were well described by the pseudo-first-order kinetic model, ranged from 0.24 to 1.61 h−1. The overall photo-decomposition efficiencies of 0.072 mM SMT were the highest at pH 5.5 with 0.5 g L−1 TiO2 due to the adsorption-induced photocatalytic decomposition of SMT on TiO2. However, the SMT photolysis occurred more rapidly at pH 10. Two reactive species of holes and hydroxyl radicals concurrently participated in the photocatalytic decomposition of SMT, and the latter dominated the oxidative reactions of SMT on TiO2. Eight intermediates of SMT photo-decomposition were determined using LC-MS. Their time-dependent distributions indicated that the photo-decomposition of SMT was triggered by hydroxylation on aniline and dimethylpyrimidinyl moieties, followed by the cleavage of the S–N bond of SMT. Our results illustrated that the intermediates with dimethylpyrimidinyl groups possess strong resistance to photo-decomposition and played a determinant role in the photo-decomposition of SMT.
Dysfunction of RAB39B‐Mediated Vesicular Trafficking in Lewy Body Diseases

Intracellular vesicular trafficking is essential for neuronal development, function, and homeostasis and serves to process, direct, and sort proteins, lipids, and other cargo throughout the cell. This intricate system of membrane trafficking between different compartments is tightly orchestrated by Ras analog in brain (RAB) GTPases and their effectors. Of the 66 members of the RAB family in humans, many have been implicated in neurodegenerative diseases and impairment of their functions contributes to cellular stress, protein aggregation, and death. Critically, RAB39B loss‐of‐function mutations are known to be associated with X‐linked intellectual disability and with rare early‐onset Parkinson's disease. Moreover, recent studies have highlighted altered RAB39B expression in idiopathic cases of several Lewy body diseases (LBDs). This review contextualizes the role of RAB proteins in LBDs and highlights the consequences of RAB39B impairment in terms of endosomal trafficking, neurite outgrowth, synaptic maturation, autophagy, as well as alpha‐synuclein homeostasis. Additionally, the potential for therapeutic intervention is examined via a discussion of the recent progress towards the development of specific RAB modulators. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
Analysis of key genes and related transcription factors in liver fibrosis based on bioinformatic technology.

OBJECTIVE To analyze differentially expressed genes (DEGs) related to liver fibrosis, and clarify the key genes and the possible targets in the progression of liver fibrosis. METHODS Using microarray datasets, GSE38199 was extracted from Gene Expression Omnibus (GEO), and a bioinformatics method was performed to find DEGs and transcription factors related to liver fibrosis. RESULTS A total of 58 DEGs were screened out according to GEO2R online analysis tool, which included 49 up-regulated and 9 down-regulated genes. These DEGs were mainly involved in formation with the extracellular region and extracellular exosome through gene ontology (GO) enrichment analysis. Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis showed that DEGs mainly participated in the PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction, and metabolic pathways. Based on the results of the Protein-Protein Interaction (PPI) network and Molecular Complex Detection (MCODE) analysis, 9 key genes (COL1A1, FBN1, BGN, COL6A3, MMP2, FBLN5, LUM, PDGFRB, LOXL1) were screened out. A total of 30 transcription factors were found according to these 9 key genes, of which 4 transcription factors (Stat3, Trp53, NF-κB1, Sp1) were enriched. CONCLUSION Stat3, Trp53, NF-κB1, and Sp1 were all related to the development of liver fibrosis, and FBLN5 might be a target for liver fibrosis.