Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

Objective： Varicocele (VC) induces male infertility by mediating changes in the testicular microenvironment, in which testicular hypoxia and high-pressure are important pathological conditions. This study aims to compare the mouse spermatogenesis (GC-2spd) cells and Sertoli (TM4) cells of mouse testis after hypoxic modeling and hypoxic and high-pressure combined modeling, and to explore the feasibility of establishing a hypoxic and high-pressure combined cell model. Methods： On the basis of cell hypoxia induced by CoCl2, the complex model of testicular cell hypoxia and high pressure was constructed by changing the osmotic pressure of GC-2 and TM4 cell medium with a high concentration of NaCl solution. After selecting the intervention concentration of CoCl2 by MTT test and detecting the expression level of HIF-1α for the determination of the optimal osmotic pressure conditions of the cell model, the cells were divided into normal group, hypoxia model group and composite model group. And the levels of OS, programmed cell death, inflammatory factors, and the expression levels of pyroptosis-related proteins were compared between the normal group and the groups with different modeling methods. Results： The optimal intervention concentration of CoCl2 in GC-2 and TM4 cells was 150 and 250μmol/L, respectively, and the expression of HIF-1α was the highest in both cells under osmotic pressure of 500 mOsmol/kg (P<0.05). Compared with the normal group, the SOD levels of GC-2 and TM4 cells decreased (all P<0.05), CAT level decreased (all P<0.05), and MDA level increased (all P<0.01), and the OS level of GC-2 and TM4 cells was more obvious than that of the hypoxia model group (all P<0.05). Compared with the normal group, apoptosis occurred in GC-2 and TM4 cells after composite modeling (all P<0.05). Compared with the normal group, the mRNA expressions of IL-1β, IL-18, TNF-α and COX-2 in GC-2 and TM4 cells significantly increased (P<0.01) and higher than those in hypoxia model group (P<0.05) and induced pyroptosis (P<0.01). The expression level of GSDMD increased (P<0.05). Conclusion： The cell model with hypoxia and high pressure combined modeling can not only induce oxidative stress and apoptosis of cells better than that with hypoxia alone, but also further cause inflammatory response damage and pyroptosis, which simulates the changes of testis microenvironment mediated by hypoxia and high pressure combined conditions in VC. This cell model can be used for studying the pathogenesis of VC-associated male infertility, evaluating drug efficacy, and exploring pharmacological mechanisms.
Male ; Animals ; Varicocele/pathology* ; Mice ; Testis/metabolism* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Cell Hypoxia ; Cobalt ; Sertoli Cells/metabolism* ; Osmotic Pressure ; Spermatogenesis ; Cellular Microenvironment ; Infertility, Male ; Disease Models, Animal

Alzheimer's disease (AD) is a progressive neurodegenerative disease associated with dysfunctions related to thinking, learning, and memory of the brain. AD has multiple pathological characteristics with complicated causes, constructing a suitable pathological model is crucial for the research of AD. Microfluidic chip technology integrates multiple functional units on a chip, which can realize microenvironmental control similar to the physiological environment. It is well applied in the construction of pathological model, early diagnosis as well as drug screening of AD. This paper focuses on the construction of AD microfluidic chips model from the perspective of cell type, culture formats and the chips structure as well as the research progress of microfluidic chips in AD application based on the pathological characteristics of AD, which will provide a reference for further elucidation of AD mechanism and drug development.

Antiviral drug research and development is an important research direction in the current and future biomedical field. The research and development of antiviral drugs not only requires the application of new strategies and new technologies, but also requires the complementary advantages and close cooperation of project teams. Based on the latest progress in this field and the author's drug research practice, this paper summarizes the underlying logic, innovative thinking and research paradigm of antiviral medicinal chemistry.

Objective:To explore the effects of participatory interactive teaching in the clinical internship course of pediatric infectious diseases.Methods:217 undergraduate students of grade 2018 majoring in pediatrics were selected as the experimental group, and 208 undergraduate students of grade 2017 majoring in pediatrics were selected as the control group. The experimental group used the teaching method of BOPPPS combined with case-based learning and team-based learning, while the control group adopted the traditional teaching method. Evaluate the learning effectiveness by comparing the formative evaluation and theoretical exam scores of the two groups , and a questionnaire survey was conducted for the students in the experimental group to investigate teaching feedback. SPSS 19.0 was used to perform the t test for data analysis. Results:The experimental group had significantly better scores than the control group in final theoretical examination [(75.04±9.12) vs. (71.03±9.51), P<0.05] and formative evaluation [(81.03±6.13) vs. (70.02±10.32), P<0.05]. According to the results of the questionnaire survey on teaching satisfaction, the students were satisfied with the interactive participatory teaching method in the four aspects of improving learning interest, improving learning ability, classroom satisfaction level, and course acceptance level. Conclusions:The pragmatic teaching reform in the internship of pediatric infectious diseases is highly accepted by students and beneficial to improving students' clinical thinking ability and comprehensive quality, which is worth further application and promotion.

AIM:To investigate the effect of Bushen formulae(BHF)on bone metabolism and its possible mechanism in ovariectomized rats with high salt intake.METHODS:According to the random number table method,80 SPF-grade Sprague-Dawley rats were divided into sham group,ovariectomy(OVX)group,medium-high-salt diet(MSD)group,high-salt diet(HSD)group,BHF group,BHF with normal saline(BHF+NS)group,BHF+MSD group,and BHF+ HSD group,with 10 rats in each group.After modeling,different diets and BHF formula interventions were administered,and the concentrations of sodium chloride added to MSD group and HSD group were 2%(w/w)and 8%(w/w),respective-ly.The dose of BHF was 7.8 g·kg-1·d-1,once a day,and the treatment lasted for 12 weeks.Bone density,bone microar-chitecture,bone parameters,bone metabolism biomarkers,bone histopathological changes,the expression of epithelial sodium channel α(ENaCα),Na-Cl cotransporter(NCC),and voltage-gated chloride channel 3(ClC-3)proteins in bone tissue were detected in each group.RESULTS:Compared with sham group,the rats in OVX group had reduced bone density and destroyed bone microstructure.Compared with OVX group,the bone microstructure in MSD and HSD groups was more significantly damaged,while the levels of bone formation markers,bone glycoprotein(BGP)and type Ⅰ procolla-gen N-terminal peptide(PINP),were significantly increased in HSD group(P<0.05).Moreover,the levels of bone re-sorption markers,such as amino-terminal cross-linked telopeptides of type Ⅰ collagen(NTX),carboxy-terminal cross-linked telopeptides of type Ⅰ collagen(CTX)and tartrate-resistant acid phosphatase(TRACP),were significantly in-creased(P<0.05),indicating that bone metabolism was in high-conversion state.High-salt diet accelerated the structural destruction of bone trabeculae,and Western blot results showed that high-salt diet caused decreases in the protein expres-sion levels of ENaCα and ClC-3 and an increase in the protein expression level of NCC in femoral tissues(P<0.05).After BHF intervention,the expression of relevant ion channels caused by high salt could be regulated to different degrees.CONCLUSION:Bushen formulae could differentially regulate the expression of relevant ion channels ENaCα,ClC-3,and NCC induced by high salt to different degrees,which has certain ameliorative and therapeutic effects on the imbalance of bone metabolism.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of liquiritin apioside,alibiflorin,swertiamarin,methyl gallate,benzoylpaeoniflorin,sweroside,6′-O-β-D-glucosylgentiopicroside,isoliquiritigenin,loganic acid,liquiritigenin,gallic acid,paeoniflorin,oxypaeoniflorin,gentiopicroside,glycyrrhizic acid,isoliquiritoside and liquiritin in Yangxue Ruanjian Capsules.METHODS The analysis was performed on a 40℃thermostatic Waters BEH C18column(2.1 mm×100 mm,1.7 μm),with the mobile phase comprising of 2 mmol/L ammonium acetate(containing 0.1%formic acid)-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Seventeen constituents showed good linear relationships within their own ranges(r>0.999 6),whose average recoveries were 91.33%-104.03%with the RSDs of 1.58%-3.50%.CONCLUSION This rapid,accurate and stable method can be used for the quality control of Yangxue Ruanjian Capsules.

Objective To understand the change trend of doctor trustrank among the residents,and to analyze its influencing factors to provide reference for finding the effective strategies to enhance the doctor trustrank.Methods The analytical framework was constructed based on the social determinism.The data from the China Family Panel Studies(CFPS)in 2014,2016,2018 and 2020 were adopted to analyze the change trend of residents'doctor trustrank.The OLS regression model was used to explore the influencing factors,and the Shapley value decomposition model was used to analyze the contribution degree of influencing factors on doctor trustrank.Results The residents'doctor trustrank was gradually decreased in 2014,2016 and 2018(6.817,6.762,6.730),which in 2020 was significantly increased(7.151).The OLS regression model analysis showed that the personal characteristics,social trust,quality of medical services,access to information and subjective socioeconomic status were related to the residents'doctor trustrank.The social trust during 2014-2020 was the main factor affecting the residents'doctor trustrank,followed by the medical service quality,subjective socialeconomic status and information channels.The personal characteristics had the lowest contri-bution degree to doctor trustrank.Conclusion The residents'doctor trustrank is comprehensively affected by the factors such as social trust,medical service quality,subjective socioeconomic status and information chan-nels.It is needed to optimize the comprehensive treatment measures to promote the persistent elevation of doctor trustrank.