Cognitive Behavioral Therapy:A Strategy for Depressive Moods Reduction of in Patients Experiencing Chronic Obstructive Pulmonary Emphysema Disease

Patients with Chronic Obstructive Pulmonary Disease(COPD)often experience difficulty breathing,decreased exercise tolerance and respiratory function as the disease progresses.Pulmonary rehabilitation training can improve respiratory symptoms,increase exercise tolerance and quality of life through exercise stimulation.However,after the end of pulmonary rehabilitation training,the patient's movement behavior is not easy to maintain.Cognitive behavioral therapy(CBT)can effectively enhance cognition,strengthen the motivation of"regular motor behavior",and maintain motor behavior,which can be used as a maintenance strategy for pulmonary rehabilitation training.Objective:To study the effect of cognitive behavioral therapy on the rehabilitation effect and the changing stage of"regular motor behavior"in COPD patients.Methods:30 patients consulted in the Rehabilitation Department of the Third Veterans Hospital of Sichuan Province were interviewed by telephone,and the exercise status and rehabilitation status were recorded and analyzed.From 30 patients,severe and extremely severe(GOLD grade III-IV)in motivation period of"regular exercise behavior"(not starting regular exercise but had exercise thoughts)were randomly divided into two groups.Pulmonary rehabilitation group(CBT-PR group,n=15)conducted one-to-one CBT intervention for 30-40 minutes to discuss the reasons for regular exercise and teach exercise precautions and principles using exercise education form;conventional pulmonary rehabilitation group(conventional PR group,n=15)conducted intensive pulmonary rehabilitation education without consultation and discussion.Both groups underwent 4 weeks of outpatient rehabilitation training,And the regular exercise ability was detected in the first and third months after training(6-Minutes Walking Distance,6-WMD;Short Physical Performance Battery,SPPB),(International Physical Activity Questionnaire,IPAQ),(St.George's Respiratory Scale,St.George's Respiratory Questionnaire,SGRQ),change.

The impact of artificial intelligence-assisted intensity-modulated radiotherapy plan optimization on the radiation doses received by the rectum and bladder as well as radiation-induced injuries in patients with locally advanced cervical cancer

This study aimed to investigate the impact of artificial intelligence-assisted intensity-modulated radiotherapy(IMRT)plan optimization on the radiation doses received by the rectum and bladder as well as radiation-induced injuries in patients with locally advanced cervical cancer.A total of 100 patients with locally advanced cervical cancer were enrolled and divided into a conventional IMRT group and an artificial intelligence-assisted IMRT group.The results showed that in terms of the radiation doses to the rectum and bladder,all dosimetric parameters(such as mean dose,maximum dose,and volume-dose parameters,etc.)in the artificial intelligence-assisted group were significantly lower than those in the conventional group(p<0.05).Regarding radiation-induced injuries,the incidences and severities of both acute and late radiation-induced proctitis and cystitis in the artificial intelligence-assisted group were lower than those in the conventional group(p<0.05).These findings suggest that artificial intelligence-assisted IMRT plan optimization can effectively reduce the radiation doses to the rectum and bladder and decrease radiation-induced injuries in patients with locally advanced cervical cancer,which is expected to provide a more precise and safer treatment strategy for radiotherapy of locally advanced cervical cancer.However,this study has limitations such as a limited sample size and being a single-center study.Future research with multi-center,large-sample,and more in-depth investigations is needed.

The mechanism by which exosomes derived from bone marrow mesenchymal stem cells promote the regeneration of renal tubules in acute kidney injury through the regulation of the PTEN signaling pathway by miR-21

Acute kidney injury(AKI)is a significant global health issue with limited current treatment options.This study focused on the mechanism by which exosomes derived from bone marrow mesenchymal stem cells(BMSCs)promote renal tubule regeneration in AKI through the regulation of the PTEN signaling pathway by miR-21.BMSCs were isolated and characterized,and their exosomes were purified.In vitro,renal tubular epithelial cell injury models were established,and the co-culture of exosomes and cells demonstrated enhanced cell proliferation and reduced apoptosis.In vivo,AKI animal models showed improved renal function and histopathological changes after exosome treatment.miR-21 was found to be upregulated in exosomes and recipient cells,targeting PTEN and activating the PI3K/AKT pathway.The signaling network also interacted with other pathways related to renal tubule regeneration.The study highlights the potential of exosome therapy for AKI and provides insights into the underlying molecular mechanisms,although further research is needed to address remaining challenges and translate these findings into clinical applications.

Distress,Anxiety,and mental health status among frontliners after coronavirus prevention and control policy was relaxed in chengdu,china

As COVID-19 prevention and control measures are relaxed,there are few studies on the impact on frontline medical workers and few specific health intervention plans.The purpose of this study is to investigate the demographic characteristics of front-line medical personnel,distress,anxiety and the sleep situation,and then to propose a health plan.

The accuracy of arrhythmia detection and its clinical significance of intelligent wearable electrocardiogram monitoring devices in asymptomatic myocardial ischemia patients during daily activities.

This study focuses on the accuracy of arrhythmia detection by intelligent wearable electrocardiogram(ECG)monitoring devices in asymptomatic myocardial ischemia patients during daily activities.It elaborates on the technical principles,features,and working modes of such devices and makes a comparison with traditional ECG monitoring methods.Through a well-designed experimental approach involving data collection and analysis using specific evaluation metrics and standards,the accuracy of arrhythmia detection is evaluated.The relationship between arrhythmia and myocardial ischemia is explored,along with its impact on diagnosis,prognosis,and treatment strategy development.The application of these devices in daily activities,including feasibility,compliance,and analysis during different activity states and long-term trends,is also examined.Despite the potential benefits,technical limitations and barriers to clinical acceptance are identified,and future research directions are proposed.The findings contribute to a better understanding of the role and value of intelligent wearable ECG monitoring devices in the management of asymptomatic myocardial ischemia patients.

Study on the Causes and Countermeasures of Medical Staff Turnover in County Public Hospitals from the Perspective of Developmental Psychology

This study aims to explore the causes of medical staff turnover in county public hospitals from the perspective of developmental psychology and put forward effective countermeasures.Through qualitative research method,a semi-structured in-depth interview was conducted with 23 medical staff in Liannan County Hospital to analyze the current situation and influencing factors of their loss.The study found that difficult working environment,lack of career development opportunities,poor sociocultural adaptation and inconsistency between personal values and organizational goals were the main reasons leading to the turnover of medical staff.In response to these problems,the research puts forward countermeasures and suggestions to improve the working environment,provide career development platform,strengthen social and cultural support,and promote the integration of individual values with organizational goals.The results of this study provide a new perspective for understanding and solving the problem of medical staff turnover in county public hospitals,and provide a reference for relevant policy formulation and hospital management practice.

The characteristics of serum metabolomics in patients with non-alcoholic fatty liver disease based on gas chromatography-mass spectrometry and its correlation with the severity of the disease

This study aimed to explore the characteristics of serum metabolomics in patients with non-alcoholic fatty liver disease(NAFLD)and its correlation with the severity of the disease based on gas chromatography-mass spectrometry(GC-MS).A total of 200 NAFLD patients and 100 healthy controls were included.Serum samples were collected and analyzed by GC-MS,and the data were processed using multivariate statistical methods such as principal component analysis(PCA)and partial least squares-discriminant analysis(PLS-DA).The results showed that a total of 50 differential metabolites were identified,including fatty acids such as palmitic acid and oleic acid,amino acids such as glutamine and glycine,and organic acids such as lactate and citrate.The level of palmitic acid was increased while the level of glutamine was decreased in the patient group.Moreover,some of the metabolites were significantly correlated with the severity of the disease.For example,palmitic acid was positively correlated with the severity of NAFLD,while glutamine was negatively correlated.This study indicates that serum metabolomics can effectively distinguish NAFLD patients from healthy individuals,and the characteristic metabolites play a crucial role in the pathogenesis of NAFLD.Furthermore,they have the potential to serve as biomarkers for disease diagnosis and monitoring,providing a basis for a deeper understanding of NAFLD and the development of novel diagnostic and therapeutic strategies.

The application research on the Automatic Detection and Grading of Microaneurysms in Fundus Images of Diabetic Retinopathy by Artificial Intelligence Deep Learning Algorithms

This research focuses on the automatic detection and grading of microaneurysms in fundus images of diabetic retinopathy using artificial intelligence deep learning algorithms.By integrating multi-source fundus image data and undergoing a rigorous preprocessing workflow,a hybrid deep learning model architecture combining a modified U-Net and a residual neural network was adopted for the study.The experimental results show that the model achieved an accuracy of[X]%in microaneurysm detection,with a recall rate of[Y]%and a precision rate of[Z]%.In terms of grading diabetic retinopathy,the Cohen’s kappa coefficient for agreement with clinical grading was[K],and there were specific sensitivities and specificities for each grade.Compared with traditional methods,this model has significant advantages in processing speed and result consistency.However,it also has limitations such as insufficient data diversity,difficulties for the algorithm in detecting microaneurysms in severely hemorrhagic images,and high computational costs.The results of this research are of great significance for the early screening and clinical diagnosis decision support of diabetic retinopathy.In the future,it is necessary to further optimize the data and algorithms and promote clinical integration and telemedicine applications.

Application and effect evaluation of behavioral cognitive training in group psychological counseling for workplace people

The purpose of this study is to explore the application and effect of behavioral cognitive training in group psychological counseling in the workplace.Based on the explanation of behavioral cognition theory,combined with the psychological characteristics and needs of the workplace population,the paper designs and implements a targeted group psychological counseling program,and analyzes the effects of counseling with a variety of evaluation methods.The results show that behavioral cognitive training has a significant effect,which provides a theoretical basis and practical reference for workplace mental health intervention.

Probe into the food safety management path in university canteens

Food safety in university canteen is closely related to the health of teachers and students,and microbial pollution is an important factor affecting food safety.This study focuses on the microbial contamination of food in university canteens,deeply analyzes the pollution sources,and puts forward targeted prevention and control strategies from the medical point of view,aiming at reducing the risk of food poisoning incidents and ensuring the health of teachers and students.Through the investigation and study of cante ens in many universities,the existence of microbial pollution in all aspects of food was revealed,which provided scientific basis for prevention and control measures.

Statement of publishing ethics and academic misconduct

For those involved in publishing activities,including authors,editors,peer reviewers and publishers,we should adhere to the concept of publishing ethics.The following is a list of statements on publishing ethics and academic misconduct for reference.Authors should strictly abide by high standard rules in publishing ethics.Future science press will not accept any plagiarism(production or falsification of data),including works published repeatedly without proper explanation and quotation.Each manuscript delivered to the publishing house must be checked by crosscheck(provided by ithenticate),CNKI or other relevant authorities before being sent to the editorial department for preliminary review.The publisher will investigate the detection results of overlapping and similar parts of the manuscript submitted by the author in time.If the author is found to have plagiarism,the manuscript will be rejected.

Treatment of Mild Cognitive Impairment(MCI)Due to Alzheimer’s Disease with Yiqi Huoxue Powder:A Study on Cognition,Daily Living Abilities,and HDS-R Scores

Objective To investigate the efficacy of Yiqi Huoxue Powder in treating patients with MCI due to Alzheimer’s Disease(AD)in terms of cognition,daily living abilities,and HDS-R scores.Methods A total of 98 patients with MCI due to AD,admitted from August 2023 to August 2024,were randomly divided into an observation group and a control group,with 49 patients in each.The control group received Almitrine Bismylate and Rauwolfia Serpentina Tablet treatment,while the observation group received Yiqi Huoxue Powder in addition to the control group’s treatment.The treatment period was 4 weeks per course,for a total of 3 courses.Changes in cognition,daily living abilities,and HDS-R scores,as well as clinical efficacy,were observed before and after treatment in both groups.Results The total effective rate in the observation group was 96.8%,significantly higher than the 76.5%in the control group,with a statistically significant difference(P<0.05).After treatment,the observation group showed significantly higher scores in cognition,daily living abilities,and HDS-R compared to the control group,with statistically significant differences(P<0.05).Conclusion Yiqi Huoxue Powder demonstrates significant efficacy in treating MCI due to AD,significantly improving patients’cognition,daily living abilities,and HDS-R scores.

Career Planning and Management of Healthcare Talent Based on Life Cycle Theory

This study aims to explore career planning and management strategies for healthcare talent based on life cycle theory,in order to enhance retention rates and job satisfaction among healthcare professionals.Through qualitative research methods combined with a case study of Liannan County Hospital,the study analyzes the needs and challenges faced by healthcare talent at different career stages.The findings reveal major issues confronted by healthcare talent during career planning,including compensation and benefits,career development opportunities,work environment,and organizational support.The study proposes a series of targeted management strategies,such as individualized career development paths,continuous professional training,and support for work-life balance,to promote long-term retention and career growth of healthcare talent.The conclusion emphasizes that healthcare organizations should consider the life cycle needs of healthcare talent in career planning and management to achieve optimal talent allocation and sustainable hospital development.