Traditional mass measurement methods are not applicable in microgravity environments,and the main challenge for in-orbit body mass measurement technology based on inertial principles is to address the random errors brought about by the weightless environment.These include additional torques due to shifts in the center of mass,nonlinear accelerations due to non-rigid human bodies,mechanical energy consumption due to organ vibrations,and random vibrations of the measurement device itself.To address the above difficulties,the project proposes a technical scheme based on the principle of linear acceleration,designs and constructs a ground-specific air-floating experimental and simulation platform,studies key data such as motion trajectory,acceleration change,and vibration frequency amplitude during the mass measurement process,and simulates the changes in the center of mass and random vibrations of the human body in a weightless environment.The project has designed an adjustable posture bracket to adapt to changes in the center of mass,enhance body restraint,and greatly reduce shaking;it has also developed an integrated four-bar linkage motion guidance mechanism,high-precision integrated photoelectric distance measurement,and modular motion constant force measurement device to ensure the accurate measurement of acceleration and constant force data.The product has undergone simulation calculations,ground human applicability tests,and in-orbit applicability verification in the space station.Ground test results show that the device achieves a body mass measurement accuracy better than 0.5%,and the dispersion is better than 0.38%;after flight mission verification and evaluation,the in-orbit body mass measurement dispersion is less than 0.4%,which is superior to the SLAMMD,a mass measurement device of the same principle on the International Space Station,and is at the forefront internationally,achieving accurate body mass measurement.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

A 20-year-old male patient presented to the Department of Dermatology of Peking Union Medical College Hospital with complaints of an 8-year history of facial scarring, swelling of the lower limbs, and a 4-year history of scalp thickening. Physical examination showed thickening furrowing wrinkling of the skin on the face and behind the ears, ciliary body hirsutism, blepharoptosis, and cutis verticis gyrate. Both lower limbs were swollen, especially the knees and ankles. The skin of the palms and soles of the feet was keratinized and thickened. Laboratory examination using bone and joint X-ray showed periostosis of the proximal middle phalanges and metacarpals of both hands, distal ulna and radius, tibia and fibula, distal femurs, and metatarsals.Genetic testing revealed two variants in SLCO2A1, c.1658T > A and c.96+4A > C.Through multidisciplinary consultation, we confirmed the diagnosis of pachydermoperiostosis.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

ObjectiveTo analyze the temporal distribution characteristics of crisis calls and eight major counseling issues to the Shanghai mental health hotline, and to provide recommendations for improving hotline management. MethodsDescriptive statistics were used to analyze 1 106 crisis calls and the calls of eight major counseling issues to the Shanghai mental health hotline across months, time periods and weeks from October 2021 to September 2023, and the chi-square test was used to analyze whether there was any difference in the distribution of 1 106 crisis calls and the calls of eight major counseling issues across months, time periods and weeks. ResultsThere were significant differences in the number of crises calls across different months (χ²=87.816, P<0.05), time periods (χ²=161.848, P<0.05), and weekly distributions (χ²=63.329, P<0.05). The highest number of calls occurred in September, while January had the lowest. The peak call times were between 18:00‒20:00, with the fewest calls occurring between 3:00‒5:00. The day of the week with the highest number of calls was Saturday, while Wednesday had the lowest. Among the different types of counselling issues in crisis calls, the highest number of calls were related to mental disorders, while the fewest calls were related to COVID-19. ConclusionCrisis calls to the Shanghai mental health hotline are concentrated at specific times, indicating that relevant organizations should optimize resource allocation based on this time distribution.

Abstract: In the present study, the compound XL-12 from our previous work was utilized as a lead compound. Through the optimization of the terminal phenyl ring, 12 target compounds were designed and synthesized. The structures of all target compounds were confirmed by 1H NMR, 13C NMR, and H RMS. In vitro enzyme activity assay showed that most compounds demonstrated significant inhibitory activity toward Bruton’s tyrosine kinase (BTK) and Janus kinase 3 (JAK3). Among them, compound I-3 exhibited moderate cell proliferation inhibitory activity toward Daudi cells and BaF3-JAK3 cells. In the evaluation of anti-inflammatory activity in vitro, compound I-3 could effectively inhibit the production of inflammatory factors IL-6; besides, it exhibited superior anti-inflammatory activity compared to ibrutinib in xylene-induced ear swelling model in mice.

[Objective]To make textual research on the life,works,medical inheritance and personal communication activities of Yilinshangren,a doctor in Wuzhen in the late Qing Dynasty.[Methods]By using the research method of historical philology,this paper systematically combs the relevant materials of Yilinshangren in manuscripts,medical books,local chronicles,diaries and anthologies,and examines Yilinshangren's life trajectory and medical activities as carefully as possible from three aspects:"life and works","medical inheritance"and"communication".[Results]Yilinshangren had Buddhist name Dade,with fine medicine,good at poetry.There was a copy of"Yueling Shangren Medical Cases"handed down.There were three followers,SHI Yinchu,DING Shoutang and SHEN Lanfang.As a Confucian doctor,Yilinshangren had deep relations with local literati,such as ZHANG Qianli,WU Quanchang,ZHANG Yuanji and BAO Tingbo.[Conclusion]In the late Qing Dynasty,Yilinshangren had a great influence in Wuzhen and even western Zhejiang.It is necessary to conduct a more comprehensive study on the Yueling Shangren Medical Cases and the medical cases passed down by the disciples of Yueling Shangren,in order to better reveal the diagnostic and treatment features and drug regimens of the Wuzhen medical practitioners.

ObjectiveTo investigate the prevalence of overweight or obesity in community patients with schizophrenia in Shanghai and to explore the related factors. MethodsStratified cluster sampling method was used and the general condition， physical examination and laboratory examination data of patients with schizophrenia who voluntarily participated in 2020 free health examination of National Basic Public Health Service were analyzed. ResultsA total of 3 200 patients were included into the study ，and the prevalence of overweight and obesity was 36.75% and 17.19%， respectively. Multivariate logistic regression analysis indicated that age between 40 and 60 （OR=1.333， 95%CI： 1.030‒1.724）， intake of first-generation antipsychotics （OR=1.413， 95%CI： 1.112‒1.796）， intake of second-generation antipsychotics （OR=1.573， 95%CI： 1.288‒1.921）， high-normal blood pressure （OR=1.549， 95%CI： 1.245‒1.927）， high-abnormal blood pressure （OR=2.824， 95%CI： 2.204‒3.619）， elevated ALT （OR=1.874， 95%CI： 1.386‒2.535）， elevated FBG （OR=1.270， 95%CI： 1.066‒1.513）， and elevated TG （OR=1.652， 95%CI： 1.335‒2.044） were the related factors that associated overweight or obesity in patients with schizophrenia. ConclusionOverweight and obesity are highly prevalent among community patients with schizophrenia in Shanghai. Age between 40 and 60， taking first-generation and second-generation antipsychotics， blood pressure higher than 120/80 mmHg， elevated ALT， elevated FBG， and elevated TG are associated with overweight or obesity in patients with schizophrenia. To provide personalized health guidance， medical staff in primary health care institutions should pay more attention to high-risk groups of overweight and obesity in schizophrenia patients at annual physical examination.