syedzayyan/paper_mill_benchmark huggingface dataset:
Effect of Acceptance and Commitment Therapy Combined with Music Relaxation Therapy on the Self-Identity of College Students

This paper analyzes various effects of acceptance and commitment therapy combined with music relaxation therapy on the self-identity of the college students.Through open recruitment and following the principle of voluntary and confidential, 80 college students were selected from our school, and then they were divided into two groups: the control group (40 cases) and the observation group (40 cases).The observation group received acceptance and commitment therapy combined with music relaxation therapy.For the control group, conventional mental health interventions were administered.Two months after intervention, psychological status, mental resilience, and quality of life scores were compared between the two groups.Before intervention, there was no significant difference in sas and sds scores between the two groups p &gt; 0.05 .After intervention, sas and sds scores were significantly higher than those in the control group, and the difference between the two groups was statistically significant p &lt; 0.05 .Before intervention, there was no significant difference in the scores of toughness, strength, and optimism between the two groups p &gt; 0.05 .After intervention, the scores of toughness, strength, and optimism in the two groups were all improved, and the scores of mental resilience in the observation group were higher than those in the control group, with statistical significance p &lt; 0.05 .Before intervention, there was no significant difference in the quality of life scores between the observation group and the control group p &gt; 0.05 .After intervention, the quality of life score of the observation group was higher than that of the control group, and the difference between the two groups was statistically significant p &lt; 0.05 .The combined application of acceptance and commitment therapy and music relaxation therapy can help college students to improve their mental state, improve their mental resilience, enhance their evaluation of life quality, improve their sense of self-identity, and reduce the probability of the occurrence of unhealthy emotions such as depression.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
EEG Analysis with Wavelet Transform under Music Perception Stimulation

In order to improve the classification accuracy and reliability of emotional state assessment and provide support and help for music therapy, this paper proposes an eeg analysis method based on wavelet transform under the stimulation of music perception.Using the data from the multichannel standard emotion database (deap), α, ß, and θ rhythms are extracted in frontal (f3 and f4), temporal (t7 and t8), and central (c3 and c4) channels with wavelet transform.Emd is performed on the extracted eeg rhythm to obtain intrinsic mode function (imf) components, and then, the average energy and amplitude difference eigenvalues of imf components of eeg rhythm waves are further extracted, that is, each rhythm wave contains three average energy characteristics and two amplitude difference eigenvalues so as to fully extract eeg feature information.Finally, emotional state evaluation is realized based on a support vector machine classifier.The results show that the correct rate between no emotion, positive emotion, and negative emotion can reach more than 90%.Among the pairwise classification problems among the four emotions selected, the classification accuracy obtained by this eeg feature extraction method is higher than that obtained by general feature extraction methods, which can reach about 70%.Changes in eeg α wave power were closely correlated with the polarity and intensity of emotion; α wave power varied significantly between “happiness and fear,” “pleasure and fear,” and “fear and sadness.” it has a good application prospect in both psychological and physiological research of emotional perception and practical application.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Early Diagnosis and Treatment of Nine Patients with Severe Multiple Injuries Accompanied by Traumatic Aortic Dissection during Emergency Treatment

This study is aimed at investigating the early diagnosis and efficacy of emergency treatments of nine patients with severe multiple injuries accompanied by traumatic aortic dissection (tad).Methods.Patients who sustained severe multiple injuries accompanied by tad following a car accident ( n = 6 ) and falls from a height ( n = 3 ) were treated in the emergency department of our hospital from october 2017 to july 2021.Data of these patients, including seven men and two women (average age, 53 ± 15.2 years; range, 18–83 years) were analysed retrospectively.Upon hospital arrival, the multidisciplinary treatment (mdt) trauma team, composed of doctors and nurses, immediately performed resuscitation following the green channel consultation and treatment process for severe multiple injuries.Life-threatening injuries were managed urgently.Blood tests and blood preparation and bedside b-scan ultrasonography and ct were performed.Aortic computed tomography angiography (cta) was conducted decisively in patients suspected of tad so that endovascular graft exclusion (evge) with the aortic covered stent can be performed promptly, followed by emergency management, second-stage surgery, and intensive care according to the injury control strategy.Results.This study included nine patients suffering from severe multiple injuries accompanied by stanford type b tad, with injury severity scores ranging from 35 to 43 points.Six patients underwent evge while receiving emergency treatment, whereas two patients who also had intracranial haemorrhage underwent selective evge.One case of tad missed in the emergency department was detected 13 days after hospitalisation; therefore, the patient promptly underwent evge.Emergency procedures performed included exploratory laparotomy and splenectomy ( n = 2 ), thoracic closed drainage ( n = 5 ), haemothoracotomy ( n = 3 ), second-stage fracture surgery ( n = 4 ), and tracheotomy ( n = 1 ).Postinjury complications included haemorrhagic shock, coagulation disorders, hyoxaemia, pulmonary infection, renal insufficiency, and hypoproteinaemia; however, all patients recovered after intensive care treatment.Aortic cta after evge revealed the disappearance of the dissection and the resorption of the intermural haematoma.However, varying degrees of stenosis or occlusion were observed in the left subclavian artery.Nine patients with severe multiple injuries were treated satisfactorily by the mdt, without fatalities, and all patients were discharged for rehabilitation.Conclusion.In this study, procedures including resuscitation, urgent aortic cta for definitive diagnosis, prompt evge, emergency injury control surgery, second-stage definitive surgery, intensive care treatment, and rehabilitation were rationally performed by the emergency mdt trauma team.Overall, this continuous and seamless process is a key factor for the successful treatment of patients with severe multiple injuries accompanied by tad.

Journal: Disease Markers (2022)
Publication types: Research Article;
Design of Human Resource Management System Based on Deep Learning

With the advent of the internet era, the frequency and proportion of candidates obtaining recruitment information through the internet is getting higher and higher, and the amount of human resources information such as talent information and postinformation has also increased unprecedentedly, which makes human resources services face the problem of information overload.At the same time, deep learning has achieved great success in a series of fields such as computer vision, natural language processing, and semantic recognition in recent years.However, there are few related works in the field of deep learning applied to human resource management system at present.Therefore, this paper studies and improves the recommendation algorithm based on deep learning and applies it to the field of human resources recommendation.In order to improve the traditional and single algorithm of the existing recommendation system, and improve the performance of the human resource management recommendation system.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Design of Hospital Operation Management System Based on Business-Finance Integration

In order to meet the requirements of the medical reform on the informatization construction of hospital operation management, a new and refined management system is established for the hospital, which integrates and analyzes the daily management data, realizes the unification of “capital flow and business flow,” and enhances the management’s understanding of people, management of the planning use, and coordination and control of various comprehensive resources of finance and materials.In this study, by creating a new type of comprehensive operation management platform for the hospital, and by establishing a whole new set of operation management decision-making system, the hospital can effectively and unifiedly manage the business related to people, finance, and materials, so that the multifaceted business data can be effectively managed.Interoperability and sharing, with cost accounting as the center, enhance the management’s intuitive understanding of the operation of various aspects of the hospital and provide strong support for the management of planning, coordination, resource allocation, comprehensive analysis, etc., forming financial management categories and logistics.There are four management categories: management category, human resource management category, business analysis, and decision-making category; the ultimate realization of the optimization of hospital resources and operation mode, the decision-making system aiming at the comprehensive management of hospital personnel, finance, and materials, that is, the comprehensive operation management of the hospital system.The system can provide a strong guarantee for the stable, safe, and healthy economic operation of the hospital and improve the information construction and sustainable development of the hospital.Ultimately, the purpose of improving the comprehensive operation management of the hospital, realizing the refined management, enhancing the core competitiveness of the hospital, and finally realizing the integration of business and finance is achieved.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Deep Learning in Healthcare System for Quality of Service

Deep learning (dl) and machine learning (ml) have a pivotal role in logistic supply chain management and smart manufacturing with proven records.The ability to handle large complex data with minimal human intervention made dl and ml a success in the healthcare systems.In the present healthcare system, the implementation of ml and dl is extensive to achieve a higher quality of service and quality of health to patients, doctors, and healthcare professionals.Ml and dl were found to be effective in disease diagnosis, acute disease detection, image analysis, drug discovery, drug delivery, and smart health monitoring.This work presents a state-of-the-art review on the recent advancements in ml and dl and their implementation in the healthcare systems for achieving multi-objective goals.A total of 10 papers have been thoroughly reviewed that presented novel works of ml and dl integration in the healthcare system for achieving various targets.This will help to create reference data that can be useful for future implementation of ml and dl in other sectors of healthcare system.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Review Article;
Construction of Community Medical Communication Service and Rehabilitation Model for Elderly Patients under the Internet of Things

The objective of this study was to discuss the health management of elderly patients in the community and the management of community rehabilitation under the support of the new internet of things (io t).The io t technology was adopted to monitor the wearable devices through mobile medical physiological data.The heart rate, blood pressure, respiratory rate, and other physiological indicators of the elderly were collected in real time.The support vector machine (svm) algorithm was selected as the core algorithm for the elderly physiological index disease risk assessment, the fuzzy comprehensive evaluation method was adopted as the core method of the elderly disease risk quantitative assessment model to process the physiological indicators, and finally, a reasonable physiological index processing model and quantitative indicators of disease risk were obtained.The data on vascular disease were selected from the mimic database.In addition, the advantages and disadvantages of the svm algorithm and the backpropagation neural network (bpnn) algorithm were compared and analysed.The final verification results showed that the fusion accuracy of the svm processing mimic database and the university of california irvine (uci) dataset was 0.8327 and 0.8045, respectively, while the fusion accuracy of the bpnn algorithm in processing the same data was 0.7792 and 0.7288, respectively.It was obvious that the fusion accuracy of the svm algorithm was higher than that of the bpnn algorithm, and the accuracy difference of the svm algorithm was lower than that of the bpnn algorithm in different groups of data.In the verification of the elderly disease risk quantitative assessment model, the results were consistent with the selected data, which verified the effectiveness of the design model in this study.Therefore, it can be used as a quantitative assessment model of general elderly physiological indicators of disease risk and can be applied to the community medical communication management system.It proved that the model of medical communication and rehabilitation services for elderly patients in the community constructed in this study can definitely help the development of community service for the elderly.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Comparison between Traditional Chinese Medicine Constitution and Blood Biochemical Markers Associated with Left and Right Mammary Hyperplasia in Rural Areas of Southwest China

Hyperplasia of mammary glands (hmg) is the breast disease with the highest clinical incidence.Many traditional chinese medicine (tcm) doctors suggest that the treatment of hmg should be based on the left and right breast pain difference.However, these views are based on case reports, and an objective basis has not been established for treatment according to left-side and right-side differences.Methods.We enrolled 150 patients who met the clinical diagnostic criteria of hmg.The incidence bias was determined according to the score difference between bilateral breast pain and mass in patients with hmg.A left group, right group, and bilateral group were included, and tcm constitution was investigated in each group.Blood biochemical indicators were measured for 120 fasting patients.We conducted a network pharmacology study of the key herb qingpi and chenpi, which are used by tcm doctors to treat different lateral hmg.Results.In patients with biased onset of hmg, the results showed that the frequency and constitution score of stagnant blood in the l group were higher than those of the r group, and the frequency and constitution score of phlegm-dampness in the r group were higher than those of the l group.Both the l and r groups had high proportion of stagnant qi.The results indicated that the concentration of coagulation factor viii (fviii) was higher in the l group than that in the r group, and the concentration of lipoprotein a (lp-α) was higher in the r group than that in the l group.The results showed that sinensetin and neohesperidin contained in qingpi might interfere with platelet activation, thrombogenesis, prolactin signaling pathway, and atherosclerosis process, in removing “blood stasis” and eventually treating the left-leaning group of hmg patients.Sitosterol and citromitin contained in chenpi could regulate lipid metabolism by interfering with regulation of lipolysis in adipocytes, salivary secretion, estrogen signaling pathway, and thyroid hormone signaling pathway.Chenpi could eliminate “phlegm turbidity” and treat hmg patients in the right-leaning group.Conclusions.We preliminarily confirmed that the clinical pathogenesis of hmg is not a left-right equilibrium and tcm constitution, coagulation function, and lipid metabolism may be used as the objective basis for the difference between the left and right in hmg pathogenesis.For left-sided hmg patients, the doctor can consider qingpi, herb of activating blood and removing stasis, to treat hmg.However, for right-sided hmg, we think doctors should apply herb of activating qi and eliminating phlegm, such as chenpi.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Clinical Study;
Clinical Study on the Efficacy of Microwave Ablation (MA) in the Treatment of Stage I Renal Clear Cell Carcinoma by CT and MRI Imaging

We have proposed an effective mechanism to corroborate the efficacy of microwave ablation (ma) in the treatment of stage i renal clear cell carcinoma in this paper.For this purpose, a total of 96 patients with stage i renal clear cell carcinoma presented in our hospital from may 2018 to january 2021 were randomly divided into ct group (n = 48) and mri group (n = 48).Patients in both groups were treated with microwave ablation after pathological diagnosis.Patients in the ct group received enhanced ct examination to monitor the therapeutic effect; in contrast, patients in the mri group received mri examination to monitor their therapeutic effect.The focus areas before and after tumor microwave ablation were compared between the two groups.The patients were followed up to 1 year after the operation, and the microwave ablation inactivation rates of the two groups were compared according to the postoperative follow-up results.There was no significant difference between ct and mri in the levels of long and short diameter before and after microwave ablation of renal clear cell carcinoma (p &gt; 0.05).In the ct group, ct examination was performed within 24 hours after microwave ablation treatment, and 44 of 48 ablation lesions showed complete ablation.The remaining 4 lesions showed nodular heterogeneous enhancement in the arterial phase, indicating that the tumor remained.Microwave ablation was performed on the residual lesions during the operation, and then enhanced ct was performed again to show that the lesions were ablated completely.In the mri group, mri examination was performed within 24 hours after microwave ablation treatment, and 45 of 48 ablation lesions showed complete ablation.The remaining 3 lesions showed nodular heterogeneous enhancement in the arterial phase, indicating that the tumor remained.Microwave ablation was performed on the residual lesions during the operation, and mri examination showed that the lesions were ablated completely.The patients were followed up to 1 year after the operation, and the microwave ablation inactivation rate of the two groups was compared according to the postoperative follow-up results as the gold standard.The inactivation rate of microwave ablation in the ct group was 89.58 (43/48).The inactivation rate of microwave ablation in the mri group was 100.00% (48/48).The inactivation rate of microwave ablation in the mri group was higher than that in the ct group (χ2 = 5.275, p = 0.021).

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Clinical Outcomes of Treatment Strategies for Postoperative Plate Fracture and In Situ Fracture of the Femoral Shaft

To investigate the treatment and clinical efficacy of postoperative plate fracture and in situ fracture of the femoral stem.Methods .We have retrospectively analyzed the clinical data, revised surgery information, and clinical efficacy of patients with postoperative plate fracture of the femoral stem in our hospital.A total of 33 cases were included whose original fractures were located in the upper and cadaveric femur and treated with paralleling intramedullary pins for revision surgery, as well as patients whose original fractures were located in the lower femur which were fixed with retrograde intramedullary nailing or anatomical locking and compression splints in the distal femur.For the selection of bone grafting, the original fracture site with fernadez‐esteve scab grades i and ii was treated with an autologous iliac bone graft.Postoperatively, patients were evaluated for fracture healing time, the clinical outcome of the affected limb, and complications in the iliac bone donor area.Results .All patients were followed up until fracture healing, and all patients achieved clinical healing with a healing rate of 100% and a mean healing time of 6.3 months.No internal fixation failure such as rebreakage or loosening of the internal fixation occurred in all patients during the follow‐up period.According to the tohner‐wrnch criteria, 23 cases were excellent, 10 cases were good, and 0 cases were poor, with an excellent rate of 100%.Complications in the autologous iliac bone donor area amounted to 36.7%.Conclusion .For patients with original fractures located in the upper femoral segment or cadre, it is recommended to perform revision surgery with a paralleling intramedullary pin, while patients with original fractures located in the lower femoral segment are fixed with the retrograde intramedullary nailing or an anatomical type of distal femoral locking and compression splint.Patients with postoperative plate fractures of the femoral stem do not require routine autologous bone grafting for revision surgery.

Journal: BioMed Research International (2022)
Publication types: Research Article;