The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

Objective To explore the effect of muscle energy technique(MET)on dynamic posture control and lumbar neuromuscu-lar function in patients with non-specific low back pain. Methods From March to June,2022,30 college students with non-specific low back pain from Shandong Sport Universi-ty were randomly divided into control group(n=15)and intervention group(n=15).The control group received health education,and the intervention group received MET,for four weeks.They were assessed with Visual Ana-logue Scale(VAS)of pain,Oswestry Disability Index(ODI),Y-balance test and trunk flexion-relaxation test be-fore and after intervention. Results VAS scores decreased in both groups after intervention(|t|>2.449,P<0.05),and it was less in the intervention group than in the control group(t=-5.068,P<0.001);while ODI score decreased in the intervention group(t=4.785,P<0.001),and it was less in the intervention group than in the control group(t=-2.895,P=0.007);the performance of Y-balance test increased(t=-3.662,P=0.003)in the intervention group,as well as flexion-re-laxation ratio of multifidus(t=-2.460,P=0.029). Conclusion MET is effective on alleviating pain and lumbar dysfunction,improving dynamic posture control and en-hancing the function of the multifidus during flexion in patients with non-specific low back pain.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

The uniqueness of the location of large general hospitals in urban areas determines that the contradiction between space constraints and medical expansion has become a problem of management bottleneck.The situation that expert visits are too concentrated on a certain working day morning has been significantly improved by carrying out peak load shifting in the visiting arrangements and visiting units of large general hospitals through the Total Quality Management theory and continuous improvement of work mode,greatly alleviating public transportation congestion around the hospital.Through the internal construction of the quality of outpatient clinics,it can effectively improve the patients'sense of access to health care.

Objective To analyze the hotspots and developments in the field of language model-assisted artificial intelli-gence(Al)for antibody design and optimization in order to provide reference for research on development of antibodies.Methods By using CiteSpace software,hotspots of research were analyzed based on literature retrieved from the Web of Science,PubMed,and Scopus databases,focusing on three pivotal areas of research related to antibody design and optimization:the construction of pre-trained language models for antibodies,the generation of antibody sequences,and the prediction of three-dimensional structures of antibodies.In addition,this analysis reviewed the major advances in each of the specified research tasks,focusing on the delineation of similarities and differences across studies and dominating challenges in this field.Results From 2019(10 publications)to 2023(89 publications),the scale of and interest in this field kept increasing.Hotspots involved leveraging language models to assist the design or optimization of humanized,high-affinity,and highly specific antibodies.Within each research,methods were characterized by the diversity of model architectures,consistency of training data,and variations in training strategies.Challenges to the field included sparse antigen data,computational power limitations,and insufficient integration of wet and dry lab experiments.Conclusion Research in language model-assisted Al antibody design and optimization is gaining momentum and proves fruitful.However,researchers should be alert to the inadequate attention to antigen-antibody interactions and insufficient integration of experimental and computational validation,conduct more in-depth research and expand applications.