syedzayyan/paper_mill_benchmark huggingface dataset:
A Modified LSTM Framework for Analyzing COVID-19 Effect on Emotion and Mental Health during Pandemic Using the EEG Signals

Covid-19, a who-declared public health emergency of worldwide concern, is quickly spreading over the world, posing a physical and mental health hazard.The covid-19 has resulted in one of the world’s most significant worldwide lockdowns, affecting human mental health.In this research work, a modified long short-term memory (mlstm)-based deep learning model framework is proposed for analyzing covid-19 effect on emotion and mental health during the pandemic using electroencephalogram (eeg) signals.The participants of this study were volunteers that recovered from covid-19.The eeg dataset of 40 people is collected to predict emotion and mental health.The results of the mlstm model are also compared with the other literature classifiers.With an accuracy of 91.26%, the mlstm beats existing classifiers when using the 70–30 partitioning technique.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models

Coronavirus disease 2019 (covid-19) is a novel disease that affects healthcare on a global scale and cannot be ignored because of its high fatality rate.Computed tomography (ct) images are presently being employed to assist doctors in detecting covid-19 in its early stages.In several scenarios, a combination of epidemiological criteria (contact during the incubation period), the existence of clinical symptoms, laboratory tests (nucleic acid amplification tests), and clinical imaging-based tests are used to diagnose covid-19.This method can miss patients and cause more complications.Deep learning is one of the techniques that has been proven to be prominent and reliable in several diagnostic domains involving medical imaging.This study utilizes a convolutional neural network (cnn), stacked autoencoder, and deep neural network to develop a covid-19 diagnostic system.In this system, classification undergoes some modification before applying the three ct image techniques to determine normal and covid-19 cases.A large-scale and challenging ct image dataset was used in the training process of the employed deep learning model and reporting their final performance.Experimental outcomes show that the highest accuracy rate was achieved using the cnn model with an accuracy of 88.30%, a sensitivity of 87.65%, and a specificity of 87.97%.Furthermore, the proposed system has outperformed the current existing state-of-the-art models in detecting the covid-19 virus using ct images.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Discovering Common Pathophysiological Processes between COVID-19 and Cystic Fibrosis by Differential Gene Expression Pattern Analysis

Coronaviruses are a family of viruses that infect mammals and birds.Coronaviruses cause infections of the respiratory system in humans, which can be minor or fatal.A comparative transcriptomic analysis has been performed to establish essential profiles of the gene expression of severe acute respiratory syndrome coronavirus 2 (sars‐co v‐2) linked to cystic fibrosis (cf).Transcriptomic studies have been carried out in relation to sars‐co v‐2 since a number of people have been diagnosed with cf.The recognition of differentially expressed genes demonstrated 8 concordant genes shared between the sars‐co v‐2 and cf.Extensive gene ontology analysis and the discovery of pathway enrichment demonstrated sars‐co v‐2 response to cf.The gene ontological terms and pathway enrichment mechanisms derived from this research may affect the production of successful drugs, especially for the people with the following disorder.Identification of tf‐mi rna association network reveals the interconnection between tf genes and mi rnas, which may be effective to reveal the other influenced disease that occurs for sars‐co v‐2 to cf.The enrichment of pathways reveals sars‐co v‐2‐associated cf mostly engaged with the type of innate immune system, toll‐like receptor signaling pathway, pantothenate and co a biosynthesis, allograft rejection, graft‐versus‐host disease, intestinal immune network for ig a production, mineral absorption, autoimmune thyroid disease, legionellosis, viral myocarditis, inflammatory bowel disease (ibd), etc.The drug compound identification demonstrates that the drug targets of imiquimod and raloxifene are the most significant with the significant hub degs.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Evaluation and Correlation Analysis of Mental and Psychological Factors and Premature Ejaculation in Patients with Benign Prostatic Hyperplasia in Mobile Medical System

Chronic prostatitis is a very common and very difficult disease.Based on the mobile medical system, this paper carried out a correlation analysis on the psychological factors and the evaluation of premature ejaculation in patients with benign prostatic hyperplasia.The article first analyzes the application in the field of mobile medical and then introduces the prostate image segmentation method based on the geometric active contour model.The emergence of automatic organ tissue segmentation technology is timely; it can help clinicians save a lot of manual segmentation time and has better reversibility and objectivity, and the theory of curve evolution is analyzed.Finally, this paper introduces the experimental research object and purpose, makes a statistical analysis of the symptoms of benign prostatic hyperplasia, and compares the incidence of psychological symptoms in patients with prostatitis under different factors.The experimental results of this paper show that 90% of prostatitis patients have mild psychological problems, and 10% have moderate psychological problems.Among them, the main reason for the psychological disorder of patients is depression, for which we should strengthen the care for patients.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
EST–SSR Marker Development and Full-Length Transcriptome Sequence Analysis of Tiger Lily (Lilium lancifolium Thunb)

The fast advancement and deployment of sequencing technologies after the human genome project have greatly increased our knowledge of the eukaryotic genome sequences.However, due to technological concerns, high-quality genomic data has been confined to a few key organisms.Moreover, our understanding of which portions of genomes make up genes and which transcript isoforms synthesize these genes is scarce.Therefore, the current study has been designed to explore the reliability of the tiger lily (lilium lancifolium thunb) transcriptome.The pac bio-smrt was used for attaining the complete transcriptomic profile.We obtained a total of 815,624 ccs (circular consensus sequence) reads with an average length of 1295 bp.The tiger lily transcriptome has been sequenced for the first time using third-generation long-read technology.Furthermore, unigenes (38,707), lnc rnas (6852), and tf members (768) were determined based on the transcriptome data, followed by evaluating ssrs (3319).It has also been revealed that 105 out of 128 primer pairs effectively amplified pcr products.Around 15,608 transcripts were allocated to 25 distinct kog clusters, and 10,706 unigenes were grouped into 52 functional categories in the annotated transcripts.Until now, no tiger lily lnc rnas have been discovered.Results of this study may serve as an extensive set of reference transcripts and help us learn more about the transcriptomes of tiger lilies and pave the path for further research.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Establishment, Analysis, and Application of the Information Transmission and Response Model for Students of Vocational Colleges under Public Health Emergencies

To provide a basic quantitative mathematical model for data analysis, decision-making support, and application of information systems oriented to emergency research, this paper established an information transmission response model for school students under such system mathematically based on actual school information transmission data during covid-19 prevention.This paper proposes an emergency information management method—a two-step emergency information management method.It can be referenced for promotion of the development of it-based school management, enhancement of it application in school emergency information management, and improvement of the speed and accuracy of information transmission.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Establishment of Quality Control Standard and Efficacy Evaluation of Zhiqingshu Lotion Compound Preparation

To establish the quality standard of zhiqingshu lotion by high-performance liquid chromatography (hplc).Methods.Hplc was used to determine emodin, chrysophanol, caffeic acid, and berberine hydrochloride content, key water-soluble components of rhubarb, dandelion, and phellodendron amurense in zhiqingshu lotion.The macrophage inflammation model was used to analyze the anti-inflammatory effects of zhiqingshu lotion.Results.Hplc results showed that the contents of emodin, chrysophanol, caffeic acid, and berberine hydrochloride in zhiqingshu lotion were 7.93 ± 2.25 , 20.85 ± 4.27 , 48.9 ± 6.79 , and 58.4 ± 10.3 μg/m l, respectively.Moreover, rt-q pcr results showed that different concentrations of zhiqingshu lotion significantly reduced the expression of inflammatory factor tumor necrosis factor- (tnf-) α and interleukin- (il-) 1β in lipopolysaccharide-induced macrophages.Conclusion.Hplc could quantitatively and qualitatively analyze and identify the main components of zhiqingshu lotion as rhodopsin, rhodopsin, caffeic acid, and berberine hydrochloride.And zhiqingshu lotion has an excellent anti-inflammatory effect.This method was simple and reliable and could be used for the identification of the ingredients and content of zhiqingshu lotion, thus improving the quality control of the drug.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Enriched Environment Regulates Dendritic Cells to Alleviate Inflammation in Cerebral Infarction Lesions

The aim was to investigate the role that enriched environment (ee) plays in the regulation of inflammation in cerebral infarction (ci) lesions and further explore the relationship between this regulation and dendritic cells (dcs).Methods.72 sprague-dawley rats were randomly divided into sham operation group (con group, n = 24 ) and ci model group ( n = 48 ).On completion of the establishment of ci rat models by longa’s method, rats in the models group were further assigned to standard environment group (nc group, n = 24 ) and ee group ( n = 24 ).He staining was utilized for evaluation of neuronal injury in the lesions.The number of cd74- and integrin αe-positive cells was detected by immunofluorescence.The expression of the il-1β, il-6, and tnf-α in the brain tissue and serum of rats was measured by immunohistochemistry and elisa, respectively.Results.In comparison with the con group, the nc and ee groups showed significant increases in neuronal injury, cd74- and integrin αe-positive cells, dc content, as well as il-1β, il-6, and tnf-α expression in brain tissue and serum.According to the further comparison between the nc group and ee group, the latter showed decreases in each indicator, and these decreases were in a time-dependent manner.Conclusion.Ee avoids the accumulation of dcs in the lesions and reduces the contents of il-1β, il-6, and tnf-α, consequently promoting the recovery of ci.And better recovery results can be obtained through increasing the time to stay in ee.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
Electronic Nose for Differentiation and Quantification of Yeast Species in White Fresh Soft Cheese

Detection of food spoilage with simple and fast methods is an important issue in food security and safety.The present study is mainly aimed at identifying and quantifying four yeast species in white fresh soft cheese using an electronic nose (en).The yeast species pichia anomala, pichia kluyveri, hanseniaspora uvarum, and debaryomyces hansenii were used.Six concentrations of each yeast species (100, 200, 400, 600, 800, and 1000 cells/g cheese) were inoculated in 100 g of fresh soft cheese and incubated for 48 h at 25°c.The en was used to identify and quantify different yeast species in cheese samples.It was found that en was able to discriminate between four yeast species using principal component analysis (pca).Moreover, en was able to quantify in good precision three (pichia anomala, pichia kluyveri, and debaryomyces hansenii) of the four tested yeasts presented in cheese samples using partial least squares (pls) models.It seems that en is a reliable tool that can be used as a fast technique to identify and quantify cheese spoilage in the cheese industry.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
E-Health System Characteristics, Medical Performance, and Healthcare Quality at Jordan’s Health Centers

This research explores how e-health systems’ features (information quality, quality of the system, usability perceived, and perceived usefulness) contribute to improving medical personnel performance in medical centers, patient care, and physician-patient interactions in jordan.The objective is to evaluate a single integrated model consisting of the technology acceptance model.This study used the logical research method and approach.A collection of data from 212 medical personnel working in 19 healthcare facilities throughout jordan were gathered.To analyze the data collected and test the hypotheses of the research, a partially square/structural equation modeling method has been employed.The study found that the health information system (his) information quality has a direct and indirect beneficial effect on the performance of the staff, beneficial effects on patient care alone, and only favorable, indirect effects on the doctor-patient relationship.On the contrary, system quality was shown to influence directly and indirectly and to have a direct and indirect beneficial effect both on the connection between doctors and patients.Remember that the his has accessibility, speed, and mistake detection and avoids error issues.These shortcomings are suggested to be rectified in conjunction with improved user perception towards easy usage and utilization of the system.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
Efficacy of Moxibustion in the Treatment of Parkinson’s Disease Based on Meta-Analysis under Intelligent Medical Treatment

Dementia in parkinson’s disease (pd) has become a major factor affecting the quality of life of patients with parkinson’s disease.Early detection and timely prevention can delay the progression of dementia, improve the quality of life of patients, and reduce the burden on society.This article is aimed at studying how to analyze the efficacy of moxibustion in the treatment of parkinson’s disease through meta-analysis on the basis of smart medicine.This article puts forward the related conceptual knowledge of smart medicine and meta-analysis and moxibustion treatment and proposes a deep learning method based on smart medicine to analyze the effects of moxibustion treatment on patients.The experiment in this article can be seen from the data in one of the figures that the highest curative effect of using a single moxibustion to treat parkinson’s disease is about 46%, while the curative effect of using a combination of moxibustion and western medicine has reached 90%.It can be seen that a single moxibustion is not as effective as a combination of the two for parkinson’s disease.From the data in one of the tables, it can be seen that the proportion of parkinson’s disease in 2016 was 15%, showing an increase of 5%.By 2020, the proportion of parkinson’s disease was as high as 38%, and the growth rate reached 9%.It can be seen that the prevalence of this disease is getting higher and higher.Parkinson’s disease has caused many undesirable effects on patients, such as slow movement, mental disorders, and a decline in mental state.Therefore, it is urgent to study the treatment of parkinson’s disease.Moxibustion can improve the patient’s blood circulation and help the patient’s local limbs to recover more easily and can help improve the patient’s motor function.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Effects of Neuromuscular Electrical Stimulation Combined with Repetitive Transcranial Magnetic Stimulation on Upper Limb Motor Function Rehabilitation in Stroke Patients with Hemiplegia

To investigate the effect of neuromuscular electrical stimulation (nmes) combined with repetitive transcranial magnetic stimulation (r tms) on upper limb motor dysfunction in stroke patients with hemiplegia.Methods.A total of 240 stroke patients with hemiplegia who met the inclusion criteria were selected and randomly divided into 4 groups (60 cases in each group): control group, nmes group, r tms group, and nmes + r tms group.Before treatment and 4 weeks after treatment, we evaluated and compared the results including fugl-meyer assessment of upper extremity (fma-ue) motor function, modified barthel index (mbi), modified ashworth scale (mas), and motor nerve electrophysiological results among the 4 groups.Results.Before treatment, there was no significant difference in the scores of fma-ue, mbi, mas, and motor nerve electrophysiological indexes among the four groups, with comparability.Compared with those before treatment, the scores of the four groups were significantly increased and improved after treatment.And the score of the nmes + r tms group was notably higher than those in the other three groups.Conclusion.Nmes combined with r tms can conspicuously improve the upper extremity motor function and activities of daily life of stroke patients with hemiplegia, which is worthy of clinical application and promotion.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Effects of E-Government Policy on the Management of Healthcare Systems

E-government began by addressing the challenges of new technologies by delivering e-services to its citizens and has since evolved to include a growing number of areas, such as citizen communication, macroeconomic projections, budget management, and e-healthcare services.E-government is known as the use of information technology to provide administrative services, communication transactions, information exchange, integration of various electronic systems, and autonomous services between the government and citizens, the government and business environment, and the government and government.This paper discusses the role of e-government policy in healthcare crises during covid 19.Data collected from 435 employees in the tourism industry of iraq was used to verify the abovementioned relationships via spss macro.The results indicate that e-government policy has a significant effect on healthcare crises; job insecurity negatively predicted healthcare crises.The results revealed that social support moderated the relationship between e-government policy and job insecurity.Results of the study contributed to the theory within this study by demonstrating that employees who enjoy a high level of social support show less job insecurity than those with a low level of social support.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Effect of Thiopental on Ischemic Stroke in Rat Brain in Spontaneously Hypertensive Rats

Motivation and problem statement.Thiopental is an anesthetic drug related to the condition of controlling the area of neurological contexts.This study is related to the analysis of effectiveness for the condition of thiopental application on spontaneously hypertensive rats.Methodology.We have evaluated the thiopental induction as the anesthetic agent.The hypertensive rats were selected to administer thiopental in the form of anesthesia.The selection and application of hypertensive strokes are related to the derivation of an inducible model to assess the efficacy for analyzing the ischemic stroke parameters which relate to the human body.We used middle cerebral artery occlusion (mcao) models related to spontaneous hypertension with the area of examining the complications in ischemic stroke.Results and conclusion.The study focused on the experimental analysis based on the selection of spontaneously hypertensive rats associated with the incidence of ischemic stroke.Application of thiopental has reported the weak functionality and mechanism on the relaxation of neuronal activity in the case of rat brain.The considered population of the spontaneously hypertensive rats is evaluated based on the condition of effectiveness as well as the duration of the medication effects within the rat brain.Involvement of thiopental in the case of ischemic stroke has provided the area of risk development for high rate of death incidences after occurrence of acute ischemic stroke.A complication in the area of defining neuroprotective actions provides difficulty in drawing an appropriate conclusion of the study.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Effect of Immediate Breast Reconstruction after Standardized Breast Cancer Surgery on the Quality of Life of Patients: A Prospective Multicenter Study

To investigate the impact of immediate breast reconstruction (ibr) after standardized breast cancer (bc) surgery on the quality of life of patients.Methods.A total of 878 bc patients were included, who were diagnosed and treated in the breast surgery department between january 2016 and december 2018.The patient underwent immediate postoperative breast reconstruction surgery.Subsequently, safety, efficacy, and postoperative morphology were scored and evaluated for the comprehensive analysis of the clinical therapeutic effects.Results.With longer postoperative time, a lower proportion of the follow-up population experienced limb edema, capsular contracture, infection, calcifications around the prosthesis, prosthesis dislocation, delayed wound healing, chronic lymphadenopathy, pain, and prosthesis rupture, indicating a high safety.And the follow-up patients’ breast appearance and shape largely returned to normal at 12 months postoperatively.Additionally, patients with 3 and 6 months of follow-up had a higher quality of life and better aesthetic breast reconstruction outcomes compared to the perioperative period.Conclusion.The implementation of standardized ibr after breast cancer improves the quality of life of patients after surgery with fewer complications and a good safety profile.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;