Abstract In order to understand and analyze the current standards and application of school desks and chairs for primary and secondary schools, and to promote the healthy growth of primary and secondary school students. The article conducts a comprehensive review of the functional and dimensional standards for school furniture both domestically and internationally, and objectively analyzes the current utilization and existing issues concerning desks and chairs in schools. It further explores the multifaceted factors that influence the allocation of desks and chairs, and proposes effective countermeasures, so as to provide a reference for the risk factors of common diseases related to desks and chairs, such as myopia and abnormal spinal curvature.

Objective: To understand the subjective and objective comfort evaluations of students from different age groups on desks and chairs, so as to provide reference for standardized allocation and use of desks and chairs. Methods: From January to April 2024, a total of 2 446 students were selected from 26 schools in 13 districts (counties/cities) in Shanghai, Tianjin, and Wuxi from Jiangsu Province by using cluster random method, including students in kindergartens, primary schools, junior high schools,senior high schools, colleges and universities. Standardized procedures were used to measure the height and weight of participants, and the matching desks and chairs models were selected according to the height. The subjective comfort of students on matching desks and chairs was investigated, and their objective comfort was evaluated by using a self designed questionnaire. The χ 2 test was used to analyze the differences of subjective perception and objective evaluation in comfort between different types of desks and chairs. Results: About 84.1% of the students subjectively thought that large desks and small chairs were very comfortable or relatively comfortable, followed by large desks and chairs (75.7%), and the proportion of small desks and chairs was the lowest among the three types (46.2%), and the difference was statistically significant ( χ 2=722.46, P <0.01). The reporting rates of primary school, junior high school and senior high school students who subjectively considered large desks and chairs to be very comfortable/relatively comfortable were higher than that of other types of desks and chairs, and the differences were statistically significant ( χ 2=297.49, 252.82, 343.67, P <0.01). However, there was no significant difference in the subjective comfort evaluation of different types of desks and chairs among kindergarten children ( χ 2=3.21, P >0.05), and 66.3% of the students in colleges and universities felt very comfortable/relatively comfortable when they used the matching standard desks and chairs. The objective evaluation results of the comfort for the three types of desks and chairs were consistent with the subjective evaluation, but the proportions of the objective evaluation as very comfortable/relatively comfortable were higher than that of the subjective evaluation ( χ 2=20.76- 813.47, P <0.01). Conclusions Large desks and chairs, as well as large desks with small chairs are perceived comfortable, while small desks and chairs are perceived less comfortable. It is recommended to match the large desks and chairs or large desks and small chairs that are suitable for them according to the "standard", to promote physical and mental health of students.

Objective: To investigate the differences in the comfort of desks and chairs furniture among students with different body types according to the standard, so as to provide a reference for guiding students with overweight and obesity to choose the correct study furniture and revising the standards. Methods: From January to April 2024, 2 443 students from 26 schools in 13 districts (counties/cities) in Shanghai, Tianjin, and Jiangsu Province were selected by the cluster random sampling method to conduct physical examination. The subjective and objective evaluations of the comfort of height matched desks and chairs were investigated. The students were divided into non overweight, overweight, and obesity groups according to relevant criteria, and stratified analysis was performed. The χ 2 test was used to analyze differences in the comfort evaluations of desks and chairs among students with different body types. Results: Among the 2 443 students surveyed, 16.7% and 12.6% were respectively classified as overweight and obese. All students assigned the highest comfort ratings to large desks and small chairs (84.1%), and consistency was observed between students subjective and objective evaluations. The reporting rate of samll desks and chairs of obesity students subjective evaluation was lower (36.8%) than that of overweight and non overweight/obesity students (52.1%, 48.0%) ( χ 2=14.63, P <0.01). The overweight and obese group of primary school students had a worse evaluation of the comfort of large desks and chairs and small desks and chairs than those of the non overweight and obese groups( χ 2=15.78, 7.63, P <0.05). Among high school students, the overweight and obese group had worse evaluation of the comfort of large desks and chairs, as well as large desks and small chairs, than those of the non-overweight and obese groups( χ 2=9.62, 11.77, P <0.05). The objective evaluations revealed low compliance ratings on the posture of the thighs and calves for naturally forming an angle greater than 90° (55.6%), and headroom height under the table (50.3%) with small desks and chairs ( χ 2=94.05, 166.47, P <0.05). Conclusions Compared with non overweight/obese students, students with overweight and obese students report poor comfort evaluations of height matched desks and chairs. Revision of the standard should consider the body types of students, and evaluations of the comfort of desks and chairs furniture by students with overweight and obesity should be improved.

ObjectiveTo explore the possible mechanism of Modified Gegen Qinlian Decoction （加味葛根芩连汤， MGQD） in the treatment of ulcerative colitis （UC） based on intestinal mucus barrier. MethodsThirty C57BL/6 mice were randomly divided into a control group， a model group and a MGQD group with 10 mice in each. Dextran Sulfate Sodium Salt （DSS） was used to construct the UC model in all groups except for the control group. Meanwhile， mice in the MGQD group were given 20 g/kg of MGQD decoction by gavage according to their body weight， while those in the control group and model group were given 0.2 ml/20 g of pure water by gavage， once a day for 7 consecutive days. On the day following the last gavage， the body weight， disease activity index （DAI） score， spleen weight， and colon length were compared. The pathological changes of the intestinal mucosal tissues were observed by HE staining； the protein expression levels of mucin 2 （MUC2） and leucine-rich repeat G protein-coupled receptor 5 （Lgr5） in the intestinal mucosal tissues were detected by immunofluorescence； the cuprocytes in the intestinal mucosal tissues were detected by AB/PAS staining； and the expression level of Ki67 in the intestinal mucosal tissues was detected by immunohistochemistry. ResultsHE staining showed that the colon mucosal tissue of the mice in the control group was intact. In the model group， the colon mucosal epithelial structure was severely damaged， with a large amount of inflammatory cell infiltration in the mucosal propria. In the MGQD group， the mucosal tissue structure was partially lost， with a small amount of inflammatory cell infiltration.The body weight and colon length of mice in the model group decreased significantly compared to those in the control group， while DAI scores and spleen weight increased， and the levels of MUC2， Ki67， Lgr5 proteins， and the number of goblet cells were significantly reduced （P＜0.01）. Compared to the model group， the MGQD group had increased body weight of mice， colon length， and decreased DAI scores and spleen weight； the levels of MUC2， Ki67， Lgr5 proteins， and the number of goblet cells were increased （P＜0.05 or P＜0.01）. ConclusionMGQD has a favorable ameliorative effect on UC-related symptoms and pathological tissue damage， and its mechanism of action may be related to the restoration of the prolife-ration and differentiation of intestinal stem cells into goblet cells， thereby promoting the repair of the intestinal mucus barrier.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Organoid technology， a rapidly advancing three-dimensional （3D） cell culture platform， can closely mimic the microarchitecture and functions of human digestive organs， effectively overcoming the limitations of conventional two-dimensional cell models and animal experiments. By systematically summarizing the distinctive strengths of organoid technology in simulating digestive physiological and pathological states， constructing digestive system disease models， enabling high-throughput drug screening， and facilitating personalized treatment， this review explored the potential applications of organoids in identifying active components of traditional Chinese medicine （TCM） formulas， evaluating in vitro pharmacokinetics and toxicological parameters， and investigating multi-target synergistic mechanisms. By integrating cutting-edge engineering technologies， organoids are expected to provide a more scientific research platform for TCM， accelerate the modernization of its mechanistic studies， and enhance its scientific value and global impact.

Objective: To understand the indoor light at night (LAN) exposure intensity during sleep among children and adolescents in Shanghai, so as to provide a basis for exploring potential health risks and formulating effective interventions. Methods: From April to December in 2024, a total of 628 students in grades 4-7 were recruited from three schools in Shanghai. A portable illuminance meter was used to measure LAN for one week, and participants recorded their sleep time. The Kruskal-Wallis H- test was used for comparison between groups, and the error bar chart was used to show the trend and variation range of average LAN exposure intensity in different sleep periods. Results: The indoor LAN exposure intensity of children and adolescents in Shanghai was [2.4(0.8, 5.9)lx] during sleep, and 28.8% of children and adolescents were exposed to indoor LAN≥5 lx. There was no significant differences in indoor LAN exposure intensity between boys [2.4(1.0, 5.9)lx] and girls [2.3(0.7, 5.9)lx] ( Z=-0.86, P > 0.05 ). The indoor LAN exposure intensity of primary school students [2.9(1.1, 6.6)lx] was higher than that of junior high school students [1.0(0.3, 3.1)lx] ( Z =-5.87), and indoor LAN exposure intensity of students in the main urban area [3.2(1.1, 7.8)lx] was higher than that of rural students [1.6(0.5, 4.3)lx] ( Z =-5.23)(both P <0.05). The indoor LAN exposure intensity showed an overall decreasing trend during sleep of children and adolescents ( tau=-0.81, P =0.02), with a slight increase before waking up. Conclusions Indoor LAN exposure intensity among children and adolescents in Shanghai is generally high, especially among primary school students and students living in the main urban area. Health policy and education should be strengthened to reduce the impact of LAN on children and adolescent health.

Referring to ZHANG Xichun's experience in treating dysentery from cold-fire accumulation， the treatment of ulcerative colitis （UC） in this paper can be divided into three stages including cold-fire accumulation stage， excessive heat and putrid intestine stage， and healthy qi deficiency and pathogen lingering stage. For people with slippery and excess pulse in the cold-fire accumulation stage， Xiaochengqi Decoction （小承气汤） added with Baishao （Radix Paeoniae Alba） and Gancao （Radix et Rhizoma Glycyrrhizae） can be used for purgation， while those with deficient pulse， Huazhi Decoction （化滞汤） or Xieli Decoction （燮理汤） can be used. In the excessive heat and putrid intestine stage， Tongbian Baitouweng Decoction （通变白头翁汤） and Jiedu Shenghua Elixir （解毒生化丹） are suggested. In the healthy qi deficiency and pathogen lingering stage， it is advised to use Jiedu Shenghua Elixir added with Shanyao （Rhizoma Dioscoreae）， and Sanbao Porridge （三宝粥）. Additionally， the medication rules， dosage and administration characteristics of Huanglian （Rhizoma Coptidis）-Rougui （Cortex Cinnamomi）， Yadanzi （Fructus Bruceae）， Diyu （Radix Sanguisorbae）， Shanyao and Liuhuang （Sulphur） by ZHANG Xichun have been summarized with the help of modern pharmacological research， so as to provide new ideas for the treatment of UC by TCM.