Objective: To explore the micro associations and key bridge nodes between physical fitness indicators and anxiety/depressive symptoms among college students using network analysis, so as to provide a theoretical foundation for promoting physical and mental health of college students. Methods: From September to October 2025, a combination of purposive sampling and cluster sampling was employed to select 2 158 college students from three universities in Xuzhou City. Seven physical fitness indicators were measured and standardized according to the National Student Physical Health Standard. The Generalized Anxiety Disorder Scale-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess anxiety and depressive symptoms. Independent samples t-test was used for intergroup comparisons of physical fitness indicators and psychological symptom scores. A gaussian graphical model (GGM) was constructed to calculate node and bridge strength, followed by stability analyses. Results: The detection rates of anxiety and depressive symptoms among college students were 21.3% and 24.5%, respectively. Male participants demonstrated superior performance in physical fitness indicators such as vital capacity, 50 meter sprint, and standing long jump compared to female participants, whereas females exhibited better results in the sit and reach test ( t =48.35, -44.82 , 70.21, -16.51, all P <0.01). Regarding psychological indicators, female participants showed higher scores of anxiety and depressive symptoms than males ( t =-4.15, -4.46, both P <0.01). Physical fitness and psychological symptoms were predominantly negatively correlated. "feeling tired" and "not being able to stop or control worrying" were the symptoms with the highest centrality in the network of physical fitness and phychological symptoms among college students (standardized strengths were 2.15 and 1.98, respectively). Among the bridge indicators, the "1 000 m (male)/800 m (female) run" exhibited the highest strength (0.85), outperforming "vital capacity" (0.35); it was linked to the symptom cluster primarily by negatively predicting "feeling tired" (edge weight=-0.38). The network stability was excellent of physical fitness and phychological symptoms among college students (correlation stability coefficient= 0.60 ). Conclusions Endurance capacity serves as the most critical bridge connecting physical and mental health, and its decline is closely related to intensified feelings of fatigue. Colleges should prioritize endurance training as a core target for promoting college students mental health.

Objective To observe the efficacy and safety of balloon occlusion hepatic arterial infusion chemotherapy(b-HAIC)for treating unresectable hepatocellular carcinoma(HCC)complicated with hepatic arterioportal fistula(HAPF).Methods Eight patients with unresectable HCC complicated with HAPF who underwent FOLFOX b-HAIC were retrospectively enrolled.The technical success rate and b-HAIC related adverse events were recorded,and the efficacy was evaluated.Results Totally 17 times b-HAIC were successfully performed in 8 cases,with technical success rate of 100%.One month after the first b-HAIC,shunt flow of HAPF decreased or even completely closed,with effective rate of 100%.After 2-3 times b-HAIC,the objective response rate(ORR)and disease control rate(DCR)of HCC was 87.50%(7/8)and 100%(8/8),respectively.Grade 1-3 adverse events were observed in all 8 cases,mainly presented as abdominal pain(7/8,87.50%)and transient elevation of transaminases and all alleviated after rest or symptomatic treatments.No grade 4-5 adverse event occurred.Conclusion b-HAIC was effective and relatively safe for treating unresectable HCC complicated with HAPF.

{L-End}Objective To analyze the effects of night shift work and overweight/obesity on blood pressure of workers in chemical fiber industry. {L-End}Methods A total of 1 004 workers of a chemical fiber factory were selected as the study subjects using convenient sampling method, and their blood pressure and body mass index were measured. Multiple linear regression model was used to analyze the relationship between night shift work and blood pressure, and multiple logistic regression was used to assess the independent impact and combined impact of night shifts and overweight/obesity on the risk of hypertension. {L-End}Results Compared with the non-night shift workers, the prevalence of hypertension in night shift workers was increased (5.3% vs 13.0%, P<0.05), with elevated systolic and diastolic blood pressure (both P<0.05). The results of multiple linear regression analysis showed that the systolic blood pressure and diastolic blood pressure of the night shift workers were higher than those of the non-night shift workers (both P<0.05), and the systolic blood pressure and diastolic blood pressure of overweight/obesity workers were higher than those of non-overweight/obesity workers (both P<0.01). The results of multiple logistic regression analysis showed that the risk of hypertension in night shift workers and overweight/obesity workers was higher than that in non-night shift workers and non-overweight/obesity workers [odds ratio (OR) and 95% confidence interval (CI) were 2.49 (1.04-5.99) and 2.65 (1.77-3.95), both P<0.05]. Night shift work and overweight/obesity showed a synergistic effect on blood pressure of workers. Compared to non-overweight/obesity non-night shift workers, overweight/obesity night shift workers had a higher risk of hypertension (OR=4.93, 95%CI: 1.70-14.29, P<0.01). {L-End}Conclusion Night shift work could lead to elevated blood pressure in workers in the chemical fiber industry, which is a potential risk factor for hypertension. The synergistic effect of night shift work and overweight/obesity may contribute to the increased risk of hypertension.

BACKGROUND: Distinguishing between primary clear cell carcinoma of the liver (PCCCL) and common hepatocellular carcinoma (CHCC) through traditional inspection methods before the operation is difficult. This study aimed to establish a Faster region-based convolutional neural network (RCNN) model for the accurate differential diagnosis of PCCCL and CHCC. METHODS: In this study, we collected the data of 62 patients with PCCCL and 1079 patients with CHCC in Beijing YouAn Hospital from June 2012 to May 2020. A total of 109 patients with CHCC and 42 patients with PCCCL were randomly divided into the training validation set and the test set in a ratio of 4:1.The Faster RCNN was used for deep learning of patients' data in the training validation set, and established a convolutional neural network model to distinguish PCCCL and CHCC. The accuracy, average precision, and the recall of the model for diagnosing PCCCL and CHCC were used to evaluate the detection performance of the Faster RCNN algorithm. RESULTS: A total of 4392 images of 121 patients (1032 images of 33 patients with PCCCL and 3360 images of 88 patients with CHCC) were uesd in test set for deep learning and establishing the model, and 1072 images of 30 patients (320 images of nine patients with PCCCL and 752 images of 21 patients with CHCC) were used to test the model. The accuracy of the model for accurately diagnosing PCCCL and CHCC was 0.962 (95% confidence interval [CI]: 0.931-0.992). The average precision of the model for diagnosing PCCCL was 0.908 (95% CI: 0.823-0.993) and that for diagnosing CHCC was 0.907 (95% CI: 0.823-0.993). The recall of the model for diagnosing PCCCL was 0.951 (95% CI: 0.916-0.985) and that for diagnosing CHCC was 0.960 (95% CI: 0.854-0.962). The time to make a diagnosis using the model took an average of 4 s for each patient. CONCLUSION The Faster RCNN model can accurately distinguish PCCCL and CHCC. This model could be important for clinicians to make appropriate treatment plans for patients with PCCCL or CHCC.
Humans ; Liver Neoplasms/pathology* ; Retrospective Studies ; Carcinoma, Hepatocellular/pathology* ; Neural Networks, Computer

ObjectiveTo study the effect of upper limb robot-assisted therapy on upper limb function and cerebral cortex activation in stroke patients using functional near-infrared spectroscopy (fNIRS). MethodsFrom January, 2022 to January, 2023, 32 stroke patients in Zhejiang Rehabilitation Medical Center were randomly divided into control group (n = 16) and experimental group (n = 16). Both groups received routine neurological medication and routine rehabilitation. The control group received routine upper limb exercises, the experimental group received upper limb robot-assisted therapy. They were assessed with Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and fNIRS (oxyhemoglobin, deoxyhemoglobin, and total hemoglobin) before and four weeks after treatment. NIRS_SPM was used for activation analysis, Homer2 was used for blood oxygen concentration analysis. ResultsAfter treatment, the score of FMA-UE increased in both groups (|t| > 5.910, P < 0.001), and was higher in the experimental group than in the control group (t = -2.348, P < 0.05). fNIRS activation results showed that, the activation increased in the experimental group after treatment in channel 17 (F = 9.354, P < 0.01), and it was more than that in the control group (F = 5.217, P < 0.05). fNIRS blood oxygen concentration results showed that, the blood oxygen concentration increased in the experimental group after treatment in channel 17 (F = 12.179, P < 0.01), and it was more than that in the control group (F = 4.883, P < 0.05). ConclusionThe upper limb robot-assisted therapy can improve the upper limb motor function and cerebral cortex activation of stroke patients.

Periarticular fracture of the shoulder is a common type of fractures in the elderly. Postoperative adverse events such as internal fixation failure, humeral head ischemic necrosis and upper limb dysfunction occur frequently, which seriously endangers the exercise and health of the elderly. Compared with the fracture with normal bone mass, the osteoporotic periarticular fracture of the shoulder is complicated with slow healing and poor rehabilitation, so the clinical management becomes more difficult. At present, there is no targeted guideline or consensus for this type of fracture in China. In such context, experts from Youth Osteoporosis Group of Chinese Orthopedic Association, Orthopedic Expert Committee of Geriatrics Branch of Chinese Association of Gerontology and Geriatrics, Osteoporosis Group of Youth Committee of Chinese Association of Orthopedic Surgeons and Osteoporosis Committee of Shanghai Association of Chinese Integrative Medicine developed the Chinese expert consensus on the diagnosis and treatment of osteoporotic periarticular fracture of the shoulder in the elderly ( version 2023). Nine recommendations were put forward from the aspects of diagnosis, treatment strategies and rehabilitation of osteoporotic periarticular fracture of the shoulder, hoping to promote the standardized, systematic and personalized diagnosis and treatment concept and improve functional outcomes and quality of life in elderly patients with osteoporotic periarticular fracture of the shoulder.

Objective:To explore the abnormal brain metabolic pattern and connectivity in temporal lobe epilepsy (TLE) patients.Methods:18F-FDG PET images of 75 patients diagnosed as drug resistant unilateral TLE from January 2014 to December 2016 in Huashan Hospital of Fudan University were collected retrospectively, including 41 (22 males, 19 females, age (28.4±8.7) years) left TLE (LTLE) and 34 (13 males, 21 females, age (28.5±8.8) years) right TLE (RTLE). Forty-four healthy controls (24 males, 20 females, age (31.2±6.2) years) were also enrolled. The cerebral glucose metabolism in TLE patients and the controls were analyzed with statistical parametric mapping (SPM) 12. The brain connectivity based on glucose metabolism were analyzed with bilateral hippocampus and amygdala as seeds. Permutation test with 1 000 permutations was used to analyze data. Results:Compared to control group, in both LTLE and RTLE groups, hypometabolism was found in affected hippocampus, amygdala, insula and temporal gyrus and hypermetabolism was observed in health hippocampus, parahippocampal gyrus, amygdala, lenticular nucleus and thalamus. In addition, hypometabolism was also found in affected superior/middle frontal gyrus and hypermetabolism was also found in bilateral frontal-orbital gyrus, bilateral cerebellum, affected lenticular nucleus and thalamus in LTLE group. In both TLE groups, affected seeds exhibited increased connectivity with affected superior frontal gyrus, lingual gyrus, fusiform gyrus, superior/middle temporal gyrus and temporal pole (all P<0.05); affected seeds exhibited increased connectivity with health superior frontal gyrus ( P=0.005), lingual gyrus ( P=0.018) and transverse temporal gyrus ( P=0.016) in RTLE group in addition. Besides, affected seeds exhibited decreased connectivity with bilateral default mode network (DMN) (all P<0.05), affected caudate nucleus ( P=0.015) and health thalamus ( P=0.008), in a uniform distribution pattern in LTLE group, and with bilateral cerebral cortex in an irregular distribution pattern in RTLE group (all P<0.05). In LTLE group, health seeds exhibited more increased connections with superior ( P=0.005)/middle frontal gyrus ( P=0.042), health hippocampus ( P=0.038), parahippocampal gyrus ( P=0.019), amygdala ( P=0.038), posterior cingulate gyrus ( P=0.004), and bilateral fusiform gyrusand ( P=0.048) compared with RTLE group; while, in RTLE group, health seeds exhibited more decreased connections with health superior ( P=0.047), inferior frontal gyrus ( P<0.001), orbital frontal gyrus ( P<0.001) and rectus gyrus ( P=0.016) compared with LTLE group. Conclusion:Altered brain glucose metabolism and connectivity pattern are found and will elucidate the underlying metabolic pattern of TLE.

Objective : To investigate the status of occupational stress and analyze its influencing factors among frontline employees working in a chemical fiber manufacturing enterprise, so as to provide insights into the development of occupational stress interventions. Methods : The frontline employees working in a chemical fiber manufacturing enterprise were selected as the study subjects using a cluster sampling method in October 2018. The status of occupational stress was investigated using the Chinese version of the effort-reward imbalance ( ERI ) questionnaire. The influencing factors for occupational stress were identified using a multivariable logistic regression model. Results : A total of 1 780 questionnaires were sent out, and 1 115 valid ones ( 62.64% ) were recovered. Among the 1 115 respondents, there were 427 men ( 38.30% ) and 688 women ( 61.70% ), and 71.22% were at ages of 21 to 39 years. There were 561 respondents with < 1 year of service ( 50.31% ), and the longest length of service was 11 years. In addition, there were 1 069 respondents ( 95.87% ) exposed to high noise, and 346 respondents ( 31.03% ) were diagnosed at a high occupational-stress state and 769 ( 68.97% ) at a low state. Multivariable logistic regression analysis identified 5 years or longer of service ( OR=1.540, 95%CI: 1.057-2.245 ) and exposure to high noise ( OR=1.917, 95%CI: 1.004-3.659 ) as risk factors for occupational stress among frontline employees in the chemical fiber manufacturing enterprise. Conclusions There are 31.03% of frontline employees at a high occupational-stress state in the chemical fiber manufacturing enterprise, and a high occupational-stress state is associated with exposure to high noise and 5 years or longer of service.

Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.

Objective:To explore the occupational stress status and influencing factors of workers in a textile factory in Zhejiang Provice.Methods:In October 2018, 505 workers from a textile factory in Zhejiang Province were selected as research objects by convenient sampling method. A total of 505 questionnaires were distributed, 495 of which were effective and the effective recovery rate was 98.0%. Job Content Questionnaire (JCQ) and Effort Reward Imbalance Questionnaire (REI) were used to investigate textile workers' occupational stress and analyze its influencing factors. The differences of the composition ratio of different groups were tested by χ 2 test. The influencing factors such as age, gender and occupation on occupational stress were analyzed by multivariate logistic regression. Results:ERI analysis results showed that the high and low occupational stress accounted for 30.1% and 69.9%, respectively. The differences of occupational stress among workers of different job types and working ages were statistically significant ( P<0.05) . The detection rates of high occupational stress of paper workers and spinners were 47.8% (11/23) and 44.8% (30/67) , respectively, higher than other jobs. The detection rate of high occupational stress for workers with more than 5 years of service was 46.4% (13/28) . The results of JCQ analysis showed that there was no statistical significance in the differences of daily working hours and length of service between different gender, education levels, types of work patterns, and occupational stress ( P>0.05) . Job types had significant effects on the occupational stress defined by ERI ( P<0.05) , the risk of occupational stress was 2.151 times than that of the coiler. Conclusion:There are significant differences in occupational stress risk among workers of different types of work in textile industry, so different measures should be taken to prevent and control occupational stress in different jobs.