In modern society, people are increasingly exposed to chronic stress, leading to various mental disorders. However, the activities of brain regions, especially neural firing patterns related to specific behaviors, remain unclear. In this study, we introduce a novel approach, NeuroSync, which integrates open-field behavioral testing with electrophysiological recordings from emotion-related brain regions, specifically the central amygdala and the paraventricular nucleus of the hypothalamus, to explore the mechanisms of negative emotions induced by chronic stress in mice. By applying machine vision techniques, we quantified behaviors in the open field, and signal processing algorithms elucidated the neural underpinnings of the observed behaviors. Synchronizing behavioral and electrophysiological data revealed significant correlations between neural firing patterns and stress-related behaviors, providing insights into real-time brain activity underlying behavioral responses. This research combines deep learning and machine learning to synchronize high-resolution video and electrophysiological data, offering new insights into neural-behavioral dynamics under chronic stress conditions.
Animals ; Mice ; Male ; Emotions/physiology* ; Stress, Psychological/physiopathology* ; Action Potentials/physiology* ; Mice, Inbred C57BL ; Behavior, Animal/physiology* ; Machine Learning ; Amygdala/physiopathology* ; Neurons/physiology* ; Paraventricular Hypothalamic Nucleus/physiopathology* ; Brain/physiology*

ObjectiveTo explore the distribution of pharyngeal microbiota in coal miners exposed to dust. Methods Eight coal miners who had been engaged in occupational dust exposure for more than 20 years were selected as the dust-exposed group, and four coal miners who were not exposed to dust at work were selected as the control group using the judgment sampling method. Pharyngeal secretions of the coal miners were collected with throat swabs, and its pharyngeal microbiota was analyzed. The diversity, abundance and evenness of the microbiota were analyzed by gene sequencing using the 16sRNA gene high-throughput sequencing technology. Results A total of 254 operational taxonomic units of pharyngeal microbiota were detected in the coal miners in the control group, which was 210 more than that in the dust-exposed group. The Chao1 index, Shannon index, PD-tree index and Pielou index of pharyngeal microbiota in the dust-exposed group decreased compared with the control group (all P<0.01). The abundance of Bacteroidetes and Clostridum, at the phylum level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group (all P<0.05). The abundance of Prevotella, Neisseria, and Monas, at the genus level, in the pharynx of coal miners in the dust-exposed group was higher than that in the control group(all P<0.05), while the abundance of Lactobacillus decreased (P<0.05). The analysis results of the receiver operating characteristic curve showed that Lactobacillus, Fusobacterium and Rothia may play a role for pharyngeal microbiota imbalance prediction in dust-exposed workers, and the area under the curves were all 1.00±0.00. Conclusion The species diversity and evenness of pharyngeal microbiota in coal miners exposed to dust are decreased, which may be related to the continuous inhalation of coal dust that disrupts the microbial environment of the throat.

Objective To evaluate the stability and aesthetic effect of a xenogeneic collagen matrix(mucograft)on achieving an adequate keratinized mucosa width(KMW)around implants and to provide a reference basis for the clini-cal application of xenogeneic collagen matrix materials.Methods The hospital ethics committee approved the study protocol,and the patients provided informed consent.Twenty patients with a KMW＜2 mm at the buccal implant site who were treated in Binzhou Medical University Affiliated Yantai Stomatological Hospital from July 2020 to September 2022 were included,and a total of 36 implants were included.The mean age of the patients was(52.0±10.4)years,of which 18 were females and 2 were males.They were divided into a free gingival graft group(FGG,control group)and a xenogeneic collagen matrix group(test group)according to different graft materials.The incremental effect of the KMW on the buccal side of the implant and the mucosal shrinkage rate was measured at 1 month and 3 months after the opera-tion.The mucosal scar index(MSI)was evaluated after the operation.Results At 3 months postoperatively,the KMW was(3.67±1.06)mm in the control group and(2.96±0.98)mm in the test group,and the difference was statistically significant(t=2.076,P＜0.05).The KMW shrinkage rate was(33.34±16.30)％in the test group and(22.05± 15.47)％in the control group at 1 month postoperatively and(51.95±12.60)％in the test group and(37.44±16.30)％in the control group at 3 months postoperatively,with statistically significant differences between the two groups at the same time points(P＜0.05).Three months after surgery,the test group showed significantly better outcomes than the control group in terms of the five scar indicators(scar width,scar convexity,scar color,scar trace,and overall appear-ance),and the difference was statistically significant(P＜0.05).Conclusion Xenogeneic collagen matrix can increase the peri-implant KMW and achieve a more natural and coordinated soft tissue aesthetic effect but with a higher shrink-age rate.

Objective To construct the prediction model of perineural invasion(PNI)in gallbladder carcinoma(GBC)based on preoperative enhanced CT image features and evaluate its prediction efficiency.Methods The clinical,imaging and pathological data of 180 GBC patients undergoing radical operation were retrospectively analyzed.They were divided into positive and negative groups according to the presence or absence of PNI.Preoperative enhanced CT imaging features(including presence of gallstones,imaging hepatic invasion,vascular invasion,T-stage,and hilar or retroperitoneal lymph node metastases)were evaluated by two radiologists.Independent sample t-test,Mann Whitney U test,and X2 test were used to compare the correlation between CT signs and PNI.Logistics regression analysis was used to screen independent risk factors and establish the prediction model formula.ROC curve was used to evaluate the prediction efficiency of the prediction model and the corresponding area under the curve(AUC)was calculated.Hosmer-Lemeshow goodness of fit test was used to verify the prediction model.Results Unifactorial analysis showed that CA199,CA125,imaging hepatic invasion,vascular invasion(hepatic artery or portal vein),T-stage,and hilar or retroperitoneal lymph node metastasis were correlated with nerve invasion(P＜0.05).Logistics multi-factor analysis results showed that CA199,imaging vascular invasion(hepatic artery or portal vein),and imaging T stage were independent risk factors for PNI.Based on the above independent risk factors,a prediction model formula was established and ROC curve was drawn,with an AUC of 0.807(95％CI:0.734～0.879),sensitivity of 0.792,specificity of 0.697,and the chi-square value of Hosmer-Lemeshow goodness of fit test of 0.594(P=0.997),indicating that the predicted value of the model was close to the actual value.Conclusion Combining CA199,imaging vascular invasion,T-stage,and other preoperative clinically-enhanced CT features to establish a prediction model can effectively predict postoperative PNI of GBC.

ObjectiveTo provide scientific support for the compilation of high-quality anti-nuclear， biological， and chemical （NBC） medical textbooks in China by retrieving books in the field of biological weapons defense in China， summarizing the publication time and distribution of publishing institutions， and categorizing content and key points of related books. MethodsRelevant subject terms in the field of biological weapons defense were searched through the official website of China National Digital Library and other websites， up until December 31， 2023， and were limited to books. Topic analysis was conducted on the introductions and contents of the books using the latent Dirichlet allocation （LDA） model. The number of topics was determined based on perplexity， and topics were identified according to the intertopic distance map， followed by a qualitative description of the core content of each topic. ResultsA total of 104 books were included in this study， among which four were identified as higher educational textbooks. The volume of publications increased during the periods 2002‒2004 and 2020‒2023. Research institutions accounted for the highest percentage of publishers （37.78%）， and 56.67% of the publishers were military institutions. The study identified six topics： "distribution， defense， and response to biological weapons"， "category， diagnosis， and treatment of biological warfare agents"， "response to biological public health emergencies"， "status of nuclear， biological， and chemical weapons internationally"， "biosafety risk management and prevention and control"， and "technologies and equipment related to biological hazard identification". ConclusionThere are few books in the field of biological weapons defense in China and the content is relatively outdated. In the future， the preparation of teaching materials should be aimed at practical emergency handling techniques for biological weapons， enhance the emphasis on biological weapons detection and biological warfare early warning， improve the fundamental theories at different training levels， and timely update the current research status in the field.

Military camps are characterized by compact space and high personnel density,which increases the risk of emerging respiratory infectious diseases and makes prevention and control difficult.One effective solution is to use a compartment model for early warning,prediction of epidemic outbreaks,and for optimization of precautions.Given the strong similarities in the transmission of emerging respiratory infectious diseases across military camps and communities,this article summarizes the cases where compartment models have been used both at home and abroad,constructs a susceptible-exposed-infectious-removed model and a susceptible-exposed-infectious-quarantined-removed model,and simulates the prediction of trends and selection of prevention and control measures in typical military camp scenarios after the outbreak of an epidemic in hopes of providing references for the prevention and control of emerging respiratory infectious diseases and for the construction of a regional intelligent early warning platform in military camps.

Objective:This study aimed to analyze differential metabolites in patients using a dual metabolic platform and to orientate early nutritional intervention in patients with cirrhosis.Methods:The skeletal muscle index (SMI) was calculated based on computed tomography (CT) measurements of skeletal muscle cross-sectional area at the third lumbar vertebra level. Pre-sarcopenia was diagnosed for males with SMI < 46.96 and for females with SMI < 32.46. Fifteen HBV-related liver cirrhosis patients with pre-sarcopenia were included as Group S while fourteen liver cirrhosis without pre-sarcopenia were Group NS. Liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) analyses were used to detect differential metabolites and disturbed pathways in the two groups.Results:Five pathways and twenty-eight pathways were defined as disturbed pathways in the plasma of liver cirrhosis patients with pre-sarcopenia by LC-MS and GC-MS, respectively. Most of these pathways are related to amino acid metabolism. Forty-two differential metabolites were imported into the disturbed pathways. Moreover, 3-hydroxypropanal, hydrocinnamic acid, betaine aldehyde, phosphohydroxypyruvic acid, (r)-3-hydroxybutyric acid, and creatinine were identified as potential biomarkers for pre-sarcopenia in HBV-related liver cirrhosis.Conclusions:The study identified a total of 33 pathways and related differential metabolites that were disturbed in HBV-related liver cirrhosis with pre-sarcopenia. The amino acid metabolism, urea cycle, and glyoxylate and dicarboxylate metabolism pathways may be associated with pre-sarcopenia in patients with HBV-related liver cirrhosis. These results provide a direction for nutritional supplementation in liver cirrhosis.

Objective:To develop a short-term prognostic model of spontaneous cerebral hemorrhage based on eXtreme Gradient Boosting (XGBoost) machine learning, and to compare its predictive performance with a Logistic regression model.Methods:Patients with sICH admitted to Department of Neurology, Second People's Hospital of Hefei from January 2018 to March 2022 were chosen; their general demographic characteristics, medical history, laboratory indices and cranial imaging data were retrospectively collected. The prognoses of patients 90 d after discharge were evaluated according to modified Rankin Scale (mRS) scores (good prognosis: mRS scores<3; poor prognosis: mRS scores≥3). XGboost and multiple Logistic regression models were used to screen out the factors for prognoses of patients 90 d after discharge, and area under receiver operating characteristic (ROC) curves, sensitivity, specificity and prediction accuracy of the 2 models were analyzed and compared.Results:A total of 413 patients with sICH were included; 180 patients(43.6 %) had poor prognosis and 233 (56.4%) had good prognosis 90 d after discharge. Multivariate Logistic regression results showed that age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, hematoma volume>40 mL and National Institutes of Health Stroke Scale (NIHSS) scores were independent influencing factors for short-term prognoses of sICH ( P<0.05). The variables in the XGBoost model were ranked in order of importance: NIHSS scores, systolic blood pressure at admission, Glasgow coma scale (GCS) scores, age≥65 years, hemorrhage into the ventricle, hematoma volume of 20-40 mL, and hematoma volume>40 mL. AUC of XGBoost model in predicting the prognosis was 0.895 (95% CI: 0.820-0.947), enjoying sensitivity of 68.89%, specificity of 94.83%, and prediction accuracy of 83.5%. AUC of Logistic regression model in predicting the prognosis was 0.894 (95% CI: 0.818-0.946), enjoying sensitivity of 93.33%, specificity of 70.69%, and prediction accuracy of 80.58%. Conclusion:The short-term prognostic model based on XGboost for sICH patients has high predictive efficacy, whose predictive accuracy is better than traditional Logistic regression.

Objective: To understand the longitudinal relationship between body shame, abnormal eating behavior and eating disorder tendency of adolescents, so as to provide reference for the intervention of eating problems among adolescents. Methods: From September 2020, a total of 1 097 students from two high schools and two universities in Heilongjiang Province were investigated for three times (T1, T2 and T3) with an interval of 9 months. Adolescents completed the Chinese Body Shame Scale，the Chinese Version of Dutch Eating Behavior Questionnaire and the Sick, Control, One, Fat, Food(SCOFF) questionnaire. A cross lag analysis was used to explore the relationship between body shame, abnormal eating behavior and eating disorder tendency. Results: The body shame, abnormal eating behavior and eating disorder tendency of adolescents showed an upward trend, but only the main effect of time on abnormal eating behavior was statistically significant ( F=3.78, P＜0.05, η 2=0.18), and the main effect of gender on three variables were statistically significant ( F=18.06, 30.48, 25.09, P ＜0.01). There were significant and positive correlations between body shame, abnormal eating behavior and eating disorder tendency at three wave survey (T1: r =0.34-0.58, T2: r =0.35-0.56, T3: r =0.33-0.53, P ＜0.01). Body shame could predict abnormal eating behavior across time ( β T1-T2 =0.13, β T2-T3 =0.08, P ＜ 0.05), and the predictive effect was stronger in female ( β T1-T2 =0.16, β T2-T3 =0.12, P ＜0.05), only the effect between T1 and T2 was significant in male ( β T1-T2 =0.09, P ＜0.05). Abnormal eating behavior ( β T1-T2 =0.14, β T2-T3 =0.15, P ＜0.01) and eating disorder tendency ( β T1-T2 =0.26, β T2-T3 =0.24, P ＜0.01) had cross time predictive effect. Abnormal eating behavior showed a mediating effect on the association between body shame and eating disorder tendency ( β ab =0.019, 95% CI=0.006-0.047, P ＜0.05), and the mediating effect was stronger in female ( β ab =0.029, 95% CI=0.008-0.053, P ＜0.05). Conclusion Adolescents body shame positively predicts abnormal eating behavior. Abnormal eating behavior and eating disorder tendency interact with each other, and body shame can indirectly affect eating disorder tendency through acting on abnormal eating behavior.

Eyes are an important part of facial morphology. The study of eye morphology is of great value in exploring human growth and establishing eye database. Its shape and size are influenced by factors such as gender, age, and ethnic group. The related literature on eye morphology mainly includes the following aspects: gender, age, and ethnic differences of eye morphological variation; factors affecting eye shape variation; eyelid shape; eye symmetry research; eye morphology and epicanthus; measurement of eye shape related parameters; related application of eye morphology, etc. By sorting out and summarizing the research data and conclusion of related literature, this article briefly outlines the research on eye morphology and the measurement method of eye parameters, furthermore, it gives a brief review and outlook on the research of eye morphology in China.