Objective: To explore the influencing factors of role adaptation of college freshmen, so as to provide empirical support for developing adaptive education in college. Methods: A cluster sampling method was used to select 3 126 freshmen from six universities of Hefei City and Wuhu City in Anhui Province in October 2022, who were investigated with Positive Psychological Capital Questionnaire (PPQ), Freshmen s Role Adaptability Scale, Connor Davidson Resilience Scale (CD-RISC) and Life Satisfaction Scale. Independent sample t-test and oneway ANOVA were used to compare the scores (caverage score of items) of various variables of college freshmen with different demographic characteristics. Pearson correlation analysis and multiple linear regression analysis were conducted to analyze the correlation. Results: There were statistically significant differences in scores of psychological capital, resilience, life satisfaction and role adaptation among college freshmen of different origin (large and mediumsized cities: ３.６３± ０.５４，３.７３±０.６４，３.４７±０.８０，３.１４±０.６５；county level city or county seat:３.５７±０.５２，３.６１±０.６３，３.３５±０.７５，３.０９±０.６３；villages and towns:３.５０±０.５０，３.５４±０.５８，３.２３±０.７５，３.０６±０.６０), whether in class committee (yes:３.６３±０.５２，３.６９±０.６０，３.４０± ０.７６ ，３.１８±０.５９； no:３.４３±０.５０，３.４８±０.６４，３.２５±０.７７，２.９３±０.６５), father s education level (junior high school or below:３.５２± ０.５１ ，３.５７±０.６１，３.２７±０.７５，３.０７±０.６１； senior high school or technical secondary school:３.６２±０.５３，３.６８±０.６３，３.４４±０.７８，３.１２±０.６３；junior college or above:３.６８±０.５６，３.７８±０.６４，３.５７±０.８０，３.１９±０.６８)，mother s education level(junior high school or below:３.５３±０.５１，３.５８±０.６１，３.２８±０.７５，３.０６±０.６０；senior high school or technical secondary school:３.６３±０.５５，３.７０±０.６３，３.４８±０.７８，３.１５±０.６６；junior college or above:３.７２±０.５４，３.８６±０.６５，３.６２±０.８３，３.２７±０.７０) ( F / t =11.89,21.89,23.02,3.83；10.08，9.20， 5.20 ，10.63；19.34，20.76，29.52，6.44；22.51，26.79，30.94，13.92， P <0.05). The differences of scores in resilience and role adaptation of different genders (boys:3.66±0.64, 3.12±0.65; girls:3.56±0.59, 3.05±0.58) and in life satisfaction whether being an only child (yes:3.40±0.79; no:3.33±0.76) among college freshmen were statistically significant ( t =4.51, 2.75, 2.35, P <0.05). Pearson correlation analysis showed that psychological capital, resilience and life satisfaction of college freshmen were positively correlated with role adaptation ( r =0.49, 0.49, 0.36), while psychological capital, resilience and role adaptation were positively correlated ( r =0.60, 0.59) and Psychological capital was positively correlated with resistance ( r =0.81)( P <0.01). The results of multiple linear regression analysis showed that gender, whether in class committee, psychological capital, resilience and life satisfaction were positively associated with role adaptation among college freshmen ( R 2=0.28, β =0.04, 0.10, 0.23, 0.26, 0.07， P <0.05). Conclusions Role adaptation of college freshmen is related with psychological capital, resilience and life satisfaction. Schools should strengthen mental health education to promote smooth role transition for college freshmen.

Objective To investigate the water quality and sanitary conditions of rural self-provided wells water in Haidian District, Beijing, and to provide reference for strengthening water supply management of self-provided wells. Methods The water quality monitoring data of rural self-provided wells in Haidian District from 2018 to 2022 were analyzed. Results A total of 1 568 water samples were tested in 2018-2022 , of which 1 486 were qualified, with a qualified rate of 94.77%. The qualified rate in each year was 86.75% , 92.86% , 97.48% , 98.06% , and 99.34% , respectively , and the difference was statistically significant ( χ²= 75.296 , P＜0.05). The qualified rates of sensory traits and general chemical indexes, toxicological indexes and microbial indexes were 97.70%, 97.58% and 98.28%, respectively. There were statistically significant differences in the qualified rates among the three indexes in 2018, 2019 and 2021 (P < 0.05). The unqualified indicators included total hardness, total number of colonies, total coliform, fluoride, nitrate and turbidity, with a qualified rate of 97.96%, 98.41%, 99.17%, 99.11%, 98.47% and 99.94%, respectively. Conclusion The water quality of self-provided wells in rural Haidian District is good. Relevant departments should continue to strengthen the supervision of self-provided wells, such as the supervision of self-provided wells disinfection devices and water treatment equipment, to ensure the safety of drinking water for residents.

Objective To observe the effects of Huatan Quyu Decoction on cognitive function and the expressions of GABA and VILIP-1 in brain tissue of rats with cerebral small vessel disease;To discuss its mechanism for treatment on cerebral small vessel disease.Methods Totally 48 male SD rats were randomly divided into blank group,model group,Huatan Quyu Decoction low-and high-dosage groups,with 12 rats in each group.Except for the blank group,a rat model of cerebral small vessel disease was prepared by in vitro injection of homologous microemboli.Huatan Quyu Decoction low-and high-dosage groups were given Huatan Quyu Decoction 1.25 and 2.5 g/kg by gavage,the blank group and model group were gavage with equal amounts of distilled water for 28 consecutive days.Morris water maze experiment was conducted on day 1,7,14,and 28 after administration to evaluate the learning and memory abilities of rats,HE staining was used to observe pathological changes in hippocampal tissue,and immunohistochemical staining was used to detect the expressions of GABA and VILIP-1 proteins in brain tissue.Results Compared with the blank group,the escape latency of Morris water maze experiment in model group significantly prolonged(P<0.05),and the number of crossing platforms was significantly reduced(P<0.05);the arrangement of hippocampal tissue cells was disordered,gaps widen,and nuclei atrophy and necrosis,the GABA expression in brain tissue significantly decreased(P<0.05),while the VILIP-1 expression significantly increased(P<0.05).Compared with the model group,the escape latency of Morris water maze experiment in the Huatan Quyu Decoction low-and high-dosage groups significantly shortened(P<0.05)on day 7,14,and 28 of administration,and the number of crossing platforms significantly increased(P<0.05),GABA expression significantly increased(P<0.05),while VILIP-1 expression significantly decreased(P<0.05).Compared with the Huatan Quyu Decoction low-dosage group,the escape latency of Morris water maze experiment in Huatan Quyu Decoction high-dosage group decreased at various time points,and the number of crossing platforms increase,the pathological damage of hippocampal tissue was reduced,the expression of GABA in brain tissue increased,and the expression of VILIP-1 decreased,with statistical significance(P<0.05).Conclusion Huatan Quyu Decoction can increase the expression of GABA in brain tissue and inhibit the expression of VILIP-1,thereby improve the cognitive function of rats with cerebrovascular disease.

The accumulation and spread of prion-like proteins is a key feature of neurodegenerative diseases (NDs) such as Alzheimer's disease, Parkinson's disease, or Amyotrophic Lateral Sclerosis. In a process known as 'seeding', prion-like proteins such as amyloid beta, microtubule-associated protein tau, α-synuclein, silence superoxide dismutase 1, or transactive response DNA-binding protein 43 kDa, propagate their misfolded conformations by transforming their respective soluble monomers into fibrils. Cellular and molecular evidence of prion-like propagation in NDs, the clinical relevance of their 'seeding' capacities, and their levels of contribution towards disease progression have been intensively studied over recent years. This review unpacks the cyclic prion-like propagation in cells including factors of aggregate internalization, endo-lysosomal leaking, aggregate degradation, and secretion. Debates on the importance of the role of prion-like protein aggregates in NDs, whether causal or consequent, are also discussed. Applications lead to a greater understanding of ND pathogenesis and increased potential for therapeutic strategies.
Humans ; Prions ; Neurodegenerative Diseases/pathology* ; Amyloid beta-Peptides ; Alzheimer Disease ; alpha-Synuclein ; tau Proteins ; Parkinson Disease

Objective To construct a rational and efficient bed resource allocation management model to reduce pre-hos-pital waiting times,ensure patient safety,and improve satisfaction.Methods Based on lean management principles,a bed re-source allocation management model was developed and continuously optimized.The study compared bed turnover rates and effi-ciency indices,as well as preoperative waiting times for surgical patients,average length of stay,patient satisfaction,and anxiety incidence before and after the implementation of the lean model to evaluate its effectiveness.Results After implementing the lean bed resource allocation model,the bed efficiency index increased by 14.29％,and bed turnover rates improved by 3.34％.The average preoperative waiting time for surgical patients decreased by 100％,and the average length of stay reduced by 87.71％.Patient satisfaction increased by 2.4％,while anxiety incidence dropped by 28.1％.Conclusion The implementa-tion of a lean bed resource allocation model can enhance hospital bed efficiency,shorten preoperative waiting times for surgical patients,reduce average length of stay,and improve patient satisfaction.

Objective:To explore the application of virtual augmented reality (AR) technology combined with transcranial Doppler ultrasound (TCD) in nursing teaching of cerebrovascular diseases.Methods:Eighty-six nursing students who interned in the Department of Neurology of The First Affiliated Hospital of Army Medical University from January 2021 to November 2022 were assigned into control group (students of grade 2021) and research group (students of grade 2022). The control group received traditional teaching with AR technology about the anatomy of the cerebral arterial circle, its composition, and adjacent structures. The research group was given AR-assisted teaching combined with TCD-based demonstration and interpretation. At the end of internship, the assessment scores, satisfaction with teaching, clinical decision-making ability, self-learning ability, and problem-solving ability were compared between the two groups. SPSS 23.0 was used to perform the non-parametric test, t test, and chi-square test. Results:The theoretical, practical, and comprehensive ability assessment scores of the research group [90 (89, 96), 95 (90, 96), and 93 (90, 96), respectively] were significantly higher than those of the control group [89 (87, 91), 90 (89, 92), and 91 (89, 94), respectively]. In terms of satisfaction with teaching effects, teaching methods, teaching content, and teaching style, the scores of the research group [16 (15, 18), (5.98±0.91), (3.38±0.52), and 13 (11, 14), respectively] were significantly higher than those of the control group [14 (13, 16), (4.23±0.65), (2.37±0.36), and 13 (10, 14 ), respectively]. The research group showed significantly better independent learning abilities than the control group in information seeking [(4.66±0.71) vs. (4.00±0.61)] and solution seeking [(4.43±0.68) vs. (4.41±0.67)], with no significant differences in the other dimensions between the two groups. The research group was significantly superior to the control group in all problem-solving dimensions: positive orientation [12 (10, 12) vs. 10 (9, 11)], rationality [26 (23, 28) vs. 21 (21, 24)], negative orientation [15 (13, 20) vs. 20 (17, 20)], avoidance style [17 (15, 18) vs. 19 (17, 20)], and impulsivity/neglect style [16 (15, 18) vs. 18 (16, 20)]. For rounds assessment, the research group showed significantly higher scores than the control group in all the items except " communication with patients" [(9.21±0.39) vs. (9.04±0.53)] and "patient satisfaction with nursing students" [(8.92±0.53) vs. (8.73±0.56)].Conclusions:The teaching method based on AR combined with TCD can improve nursing students' knowledge of cerebrovascular diseases, clinical nursing ability, and satisfaction with teaching.

Objective:To construct a structured education course for patients with neurogenic bladder during the rehabilitation period.Methods:This study consisted three stages of current situation survey, literature search, and expert consultation. From February 2022 to February 2023, a current survey was conducted on the self-management needs of 62 patients with neurogenic bladder. In April 2023, a literature search was conducted to summarize the best evidence on nursing and management of neurogenic bladder, and form the initial version of course indicators and content. From April to May 2023, 14 experts were selected for consultation, and the Delphi method was used to demonstrate the course indicators and content, and to construct the final draft of the course.Results:A total of 62 patients with neurogenic bladder were included, they have requirements for water management, bladder function training, and dietary requirements, etc. A total of 2 053 articles were retrieved, and 14 articles were ultimately included, including eight guidelines, four evidence summaries, one expert consensus, and one systematic review. The expert authority coefficients for the two rounds of expert consultation were 0.93 and 0.92, respectively. The Kendall coordination coefficient of various indicators in the second round of expert consultation was 0.227 to 0.288 ( P<0.01). After two rounds of expert consultation, a structured education course for patients with neurogenic bladder during the rehabilitation period was finally developed, including six primary indicators, 21 secondary indicators, and 30 tertiary indicators. Conclusions:The structured education course for patients with neurogenic bladder during the rehabilitation period, based on current situation survey, high-quality evidence, and expert consultation, is comprehensive in content and reasonably designed, which can provide supportive assistance for future nursing health education and management for patients with neurogenic bladder.

The combination of artificial intelligence and TCM and the bulk replication and promotion of the famous doctor treatment model will help solve the problem of scarce quality medical resources in TCM. The elements of syndromes are derived from the decomposition of syndromes, which is a representation of the etiology and pathogenesis of syndromes. On the one hand, it helps to reduce the dimensionality of the TCM data consistent with the symptoms, facilitating the standardisation of the data, and on the other hand, it supports flexible combinations by order, helping to guide the use of prescriptions in a targeted manner. The elements of syndromes have the characteristics of being superimposable and combinable in multiple dimensions such as etiology, disease nature and disease situation, and are suitable for mathematical calculations, which can transform the complex multi-dimensional treatment process of TCM into an artificial intelligence calculation process. This study provided an in-depth analysis of the reasons limiting the deep integration of TCM and artificial intelligence, and designs a TCM artificial intelligence-assisted diagnosis and treatment system for coronary artery disease based on the respective characteristics of the elements of syndromes and TCM to bridge the two fields of TCM and artificial intelligence, with a view to providing a reference for a breakthrough in the deep integration of TCM and artificial intelligence.

Objective:To construct and validate a predictive model for the risk of excessive blood loss in pa-tients with ruptured tubal pregnancy,and to provide a basis and tool for the assessment of changes in the condi-tion of patients with ruptured tubal pregnancy.Methods:Clinical data of inpatients with ruptured tubal pregnancy from January 2014 to July 2021 were retrospectively analyzed,who underwent surgical treatment in the Depart-ment of Gynecology,Dongguan Maternal and Child Health Hospital.The pelvic blood volume was categorized into excessive blood loss and non-excessive blood loss groups based on whether the amount of pelvic blood was found to be≥750 ml intraoperatively.Factors influencing the occurrence of excessive blood loss were screened and modeled by univariate analysis,Lasso regression,and multi-factor Logistic stepwise regression.The area un-der the subject working characteristic curve(AUC)was used to evaluate the discrimination of the predictive mod-el,the model's consistency was evaluated by calibration curve and goodness-of-fit test,and the clinical utility of the model was evaluated and validated by the decision analysis curve.Finally,column line plots were drawn.Results:①A total of 386 patients with ruptured tubal pregnancy were included,of whom 124(32.12%)had blood loss≥750 ml.②The optimal predictors for predicting concomitant blood loss in patients with ruptured tubal preg-nancy were screened,including:days of abdominal pain,dizziness,pallor,fatigue,the maximum diameter of para-metrial mass,human chorionic gonadotropin(β-hCG),and hemoglobin(Hb)and the model and the column line graphswere constructed accordingly.③The prediction model AUC was 0.827(95%CI 0.781-0.873);the cut-off value was 0.391,at which point the specificity and sensitivity were 68.55%and 84.35%,respectively,and the AUC validated within the model by resampling was 0.804.Clinical decision curves showed that the threshold probability intervals for the maximum net benefit values ranged from 8.5%-97%,respectively.Conclusions:The constructed prediction model was validated to suggest good discriminatory efficacy and degree of consistency.As a tool,it has clinical application value in predicting the risk of hemorrhage in patients with ruptured tubal pregnan-cy.It can help to determine the occurrence of adverse events such as hemorrhagic shock at an early stage and improve the success rate of rescue treatment.

Objective:Utilizing multi-criterion optimization (MCO) technology to improve plan design quality based on knowledge-based planning (KBP) model.Methods:Fifty-five patients with nasopharyngeal carcinoma (NPC) who had completed radiotherapy were selected, and fixed-field intensity-modulated radiotherapy (IMRT) technology was used in each case. Among them, 40 cases were randomly selected as training set 1. Then, IMRT plans in training set 1 were preprocessed by MCO technology to construct a new training set 2. With the initial training set 1 and the processed training set 2 as training samples, the traditional KBP model and the MCO-KBP model refined by MCO technology were trained, respectively. Among the remaining 15 cases, 5 cases were randomly selected as the validation set, and the remaining 10 cases were used as the test set. After verification, the test set was used to statistically analyze the plan quality of the initial manual plan and the automatic plan generated by the traditional KBP model and the MCO-KBP model.Results:The target dose (D 95%) of plans generated by the traditional KBP model and the MCO-KBP model met the clinical requirements. Conformity index (CI) and homogeneity index (HI) were almost the same ( P>0.05), and the doses of organ at risk (OAR) of the automatic plans generated by the MCO-KBP model were lower than those of the traditional KBP model. For example, compared with the traditional KBP model, the average D max of the brainstem in the automatic plans generated by the MCO-KBP model was lower by 2.13 Gy, the average D mean of the left parotid gland was lower by 1.39 Gy, the average D mean of the right parotid gland was lower by 1.59 Gy, and the average D max of the left optic nerve was lower by 1.42 Gy, the average D max of the right optic nerve was lower by 1.16 Gy, and the average D max of the pituitary gland was lower by 1.88 Gy. All of the above-mentioned dosimetry indexes were statistically significant. Conclusion:Compared with the traditional KBP model, the IMRT plans designed by the refined MCO-KBP model have obvious advantages in the protection of OAR, which proves the feasibility of utilizing MCO technology to improve the plan design quality of the KBP model.