ObjectiveTo investigate the current awareness and optimization recommendations on pneumonia with unknown etiology (PUE) surveillance among Shanghai healthcare professionals, and to provide evidence for the improvement of the surveillance system. MethodsIn December 2024, healthcare professional participants from diverse medical and health institutions were randomly selected within each stratum using a stratified cluster sampling method in all 16 districts of Shanghai for questionnaire surveys on their knowledge and suggestions for optimization of the PUE surveillance system. Descriptive statistics analyses, multivariate logistic regressions, and content analyses were used for data analyses. ResultsA total of 385 survey subjects were involved in the study, including 119 professional staffs from disease prevention and control centers and 266 from medical institutions. Those who understood the case definition for PUE correctly accounted for 67.01% (258/385). Multivariate regression model analyses showed that female gender (aOR=2.22, 95%CI: 1.36‒3.66), professionals from disease control institutions (aOR=2.02, 95%CI: 1.12‒3.72), and those who self-assessed as being familiar with the monitoring system (aOR=2.18, 95%CI:1.23‒3.89) had better understanding of the definition. Overall, 89.61% (345/385) of the survey subjects acknowledged the necessity of the surveillance system. Small number of cases meeting the case definition (54.46%, 214/379), insufficient diagnostic awareness (39.84%, 151/379), and lack of incentives for case reporting (29.29%, 111/379) were major problems for the current surveillance system, with variations observed across different types of institutions. Suggested segments for optimizing the surveillance system included monitoring purpose, case definition, form of monitoring and reporting procedure, organization mechanism, and epidemiological investigation and response. ConclusionThe necessity of PUE surveillance is commonly recognized among healthcare workers. However, the existing system falls short in terms of mastery of case definition and overall surveillance adaptability. There is an urgent need for optimization and improvement to enhance the capacity for preventing and controlling emerging and sudden respiratory infectious diseases.

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

To meet the demand of national governance modernization and high-quality development of public hospitals,it constructed a three-dimensional analysis framework of"synergy,technology empowerment and proactive governance"in response to the outstanding problems of insufficient synergy in the supervision network,weak monitoring and early warning capability,and passive response to supervision.The purpose is to:at the level of synergy and linkage,from the definition of the subject's function,the sharing of supervisory information,and the linkage of rectification and improvement to jointly build a multi-subject co-governance supervisory network,form a common supervisory pattern,break down the barriers to synergy,and make a closed-loop governance;at the level of technological empowerment,through the use of tools such as blockchain technology,AI auditing models,and data decision support platforms,to realize a full chain traceability,intelligent risk early warning,and intelligent driven penetrating supervision with data decision support.At the level of active governance,the aim is to expand the key indicators in auditing and assessment,and give play to the guiding role of economic responsibility auditing and the driving effect of national-level comprehensive assessment,so as to promote the behavioral mode of the supervisory body from"passive compliance"to"active governance".It provides a systematic solution with both theoretical innovation and practical applicability for the modernization of the financial and accounting supervision system of public hospitals.

Definitive treatment of lung cancer with radiotherapy is challenging, as respiratory motion and anatomical changes can increase the risk of severe off-target effects during radiotherapy. Online adaptive radiotherapy (ART) is an evolving approach that enables timely modification of a treatment plan during the interfraction of radiotherapy, in response to physiologic or anatomic variations, aiming to improve the dose distribution for precise targeting and delivery in lung cancer patients. The effectiveness of online ART depends on the seamless integration of multiple components: sufficient quality of linear accelerator-integrated imaging guidance, deformable image registration, automatic recontouring, and efficient quality assurance and workflow. This review summarizes the present status of online ART for lung cancer, including key technologies, as well as the challenges and areas of active research in this field.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods*

To meet the demand of national governance modernization and high-quality development of public hospitals,it constructed a three-dimensional analysis framework of"synergy,technology empowerment and proactive governance"in response to the outstanding problems of insufficient synergy in the supervision network,weak monitoring and early warning capability,and passive response to supervision.The purpose is to:at the level of synergy and linkage,from the definition of the subject's function,the sharing of supervisory information,and the linkage of rectification and improvement to jointly build a multi-subject co-governance supervisory network,form a common supervisory pattern,break down the barriers to synergy,and make a closed-loop governance;at the level of technological empowerment,through the use of tools such as blockchain technology,AI auditing models,and data decision support platforms,to realize a full chain traceability,intelligent risk early warning,and intelligent driven penetrating supervision with data decision support.At the level of active governance,the aim is to expand the key indicators in auditing and assessment,and give play to the guiding role of economic responsibility auditing and the driving effect of national-level comprehensive assessment,so as to promote the behavioral mode of the supervisory body from"passive compliance"to"active governance".It provides a systematic solution with both theoretical innovation and practical applicability for the modernization of the financial and accounting supervision system of public hospitals.

Objective:To explore the application effects of a method combining progressive case study and fishbone diagram in clinical teaching of interns in general surgery, and evaluate its impact on medical students' theoretical knowledge mastery, clinical practice ability development, and systematic thinking cultivation.Methods:Sixty undergraduate clinical medicine students who interned in the Department of General Surgery from July 2022 to December 2023 were selected as the research subjects and randomly divided into a control group ( n=30) and an observation group ( n=30). The control group received traditional case-based teaching through centralized lectures, group discussions, and review/Q&A sessions. The observation group received an integrated teaching approach combining progressive case study and fishbone diagram through the design of progressive cases and fishbone diagrams. Teaching effectiveness was evaluated through theoretical assessment, practical assessment, and teaching satisfaction survey. SPSS 22.0 was used for t-test and χ2 test. Results:The total score of theoretical assessments for the observation group interns was higher than that of the control group [(86.97±4.60) vs. (66.06±5.96), t=-17.79, P<0.001]. The differences in scores of diagnosis and treatment standards [(17.03±1.82) vs. (14.07±2.35)] and differential diagnosis [(12.85±1.42) vs. (8.92±2.37)] were particularly significant. In the practical assessments, the total score of the observation group interns [(90.19±5.04) vs. (68.63±4.30), t=-17.82, P<0.001] and their scores in individual assessments were higher than those of the control group, especially in acute abdomen evaluation [(18.23±1.72) vs. (14.37±2.05)], laparoscopic spatial positioning [(8.83±0.95) vs. (5.92±1.38)], and intraoperative emergency management [(8.95±0.97) vs. (6.05±1.23)]. The satisfaction scores of the observation group interns were higher than those of the control group ( P<0.001), with the greatest improvement in clinical thinking [(4.65±0.61) vs. (3.10±0.71)] and teacher-student interaction quality [(4.72±0.53) vs. (3.11±0.63)]. Conclusions:The teaching method combining progressive case study and fishbone diagram significantly improved interns' theoretical assessment scores, practical operation ability, and clinical decision-making level through the dynamic presentation of case evolution processes and the application of structured analysis tools, and also enhanced the teaching satisfaction.

Objective:To explore the application effects of a method combining progressive case study and fishbone diagram in clinical teaching of interns in general surgery, and evaluate its impact on medical students' theoretical knowledge mastery, clinical practice ability development, and systematic thinking cultivation.Methods:Sixty undergraduate clinical medicine students who interned in the Department of General Surgery from July 2022 to December 2023 were selected as the research subjects and randomly divided into a control group ( n=30) and an observation group ( n=30). The control group received traditional case-based teaching through centralized lectures, group discussions, and review/Q&A sessions. The observation group received an integrated teaching approach combining progressive case study and fishbone diagram through the design of progressive cases and fishbone diagrams. Teaching effectiveness was evaluated through theoretical assessment, practical assessment, and teaching satisfaction survey. SPSS 22.0 was used for t-test and χ2 test. Results:The total score of theoretical assessments for the observation group interns was higher than that of the control group [(86.97±4.60) vs. (66.06±5.96), t=-17.79, P<0.001]. The differences in scores of diagnosis and treatment standards [(17.03±1.82) vs. (14.07±2.35)] and differential diagnosis [(12.85±1.42) vs. (8.92±2.37)] were particularly significant. In the practical assessments, the total score of the observation group interns [(90.19±5.04) vs. (68.63±4.30), t=-17.82, P<0.001] and their scores in individual assessments were higher than those of the control group, especially in acute abdomen evaluation [(18.23±1.72) vs. (14.37±2.05)], laparoscopic spatial positioning [(8.83±0.95) vs. (5.92±1.38)], and intraoperative emergency management [(8.95±0.97) vs. (6.05±1.23)]. The satisfaction scores of the observation group interns were higher than those of the control group ( P<0.001), with the greatest improvement in clinical thinking [(4.65±0.61) vs. (3.10±0.71)] and teacher-student interaction quality [(4.72±0.53) vs. (3.11±0.63)]. Conclusions:The teaching method combining progressive case study and fishbone diagram significantly improved interns' theoretical assessment scores, practical operation ability, and clinical decision-making level through the dynamic presentation of case evolution processes and the application of structured analysis tools, and also enhanced the teaching satisfaction.

Objective:To improve the public welfare attributes of public hospitals through the optimization of the performance ap-praisal system of public hospitals,stimulate the enthusiasm of medical staff,and continuously improve the quality and level of medi-cal services.Methods:From the perspective of value co-creation,the three-party value subjects of hospitals,patients and depart-ments are considered,and the core indicators of Diagnosis Related Group(DRG)and Resource-based Relative Value Scale(RBRVS)accounting methods are introduced to construct a performance appraisal system at the level of medical departments in public hospi-tals.Results:The sample hospital applied DRG and RBRVS-based medical department performance appraisal system,and found that the equity of performance evaluation,the efficiency of hospital operation ability,and the satisfaction of patients and medical staff were significantly improved.Conclusion:Based on the theory of value co-creation,the performance appraisal system of the case hos-pital is optimized into three dimensions:cost control assessment,KPI index assessment and workload assessment,so as to achieve consistency between performance appraisal work objectives,and the the result variables of value co-creation,promote the balance of service quality and quantity of medical service providers,and promote the optimization of the effect of hospitals,departments and pa-tients.

The gene encoding regulatory subunit 15 A of protein phosphatase 1 produces a protein that is a universally present protein phosphatase in eukaryotic cells.In this study,genomic DNAs were extracted from the blood of 89 Chinese Holstein cows and were used as templates for PCR amplification of the target fragment of the PPP1R15A gene.The product was tested and a polymor-phic site,E3-250T＞A was found.The polymorphism of this side and its correlation with milk pro-duction traits in Chinese Holstein cattle were statistically analyzed using SPSS 23.0 software.The findings revealed three genotypes at this site:AA,AT and TT.Cows possessing the AT and TT genotypes exhibited significant differences(P＜0.01)in milk fat and solid non-fat content com-pared to those with the AA genotype.While no significant differences were noted for other milk production traits,including milk yield,protein,lactose,somatic cell count,blood urea nitrogen,and corrected milk.The identification of functional SNPs in the PPP1R15A gene provides a theoretical basis for further research and identification of causal variations in the cow PPP1R15A gene.

In order to reveal the association between single nucleotide-based polymorphism(low density lipoprotein receptor-related protein 5,LRP5),DNA of 98 Chinese Holstein cows were ex-tracted and the LRP 5 gene polymorphism locus was detected by direct sequencing,and related dif-ferent genotypes and milk quality traits at the SNP loci was analyzed.The results showed that three SNPs were found on the fourth intron of the LRP 5 gene,I4-90 C＞T,I4-229 C＞A and I4-570 A＞G.Among them,I4-90 C＞T had TT,CC and TC genotypes,and TC genotype was signifi-cantly higher than TT and CC genotypes(P＜0.05).However,mutations at this locus were not significantly associated with milk yield and fat content(P＞0.05);genotypes CC and C for I4-229 C＞A;genotypes AA,GG and GA for I4-570 A＞G.The two mutation sites showed no significant correlation with milk quality traits in Chinese Holstein dairy cows(P＞0.05).The above results indicate that the I4-90 C＞T site of LRP 5 gene can be used for marker-assisted selection as molec-ular markers affecting milk quality traits in Chinese Holstein cows.