syedzayyan/paper_mill_benchmark huggingface dataset:
Perioperative Effect of Single-Port Thoracoscopic Segmentectomy and Three-Port Thoracoscopic Segmentectomy in the Treatment of Early Non-Small-Cell Lung Cancer

Clinically, there were few reports on single‐hole thoracoscopic segmental resection in non‐small‐cell lung cancer (nsclc), and no report on the comparison of single‐hole and three‐hole thoracoscopic segmental resection.Hence, the purpose of the study was to explore the perioperative role of single‐port thoracoscopic segmentectomy and three‐port thoracoscopic segmentectomy for early‐stage nsclc.Methods .The clinical data of 80 patients with early‐stage nsclc who were treated in our hospital from january 2021 to june 2022 were selected as the retrospective research subjects and divided into a comparison/research group with 40 cases in each group according to different surgical methods.Among them, the comparison group was received three‐port thoracoscopic segmentectomy, and the research group was received single‐port thoracoscopic segmentectomy.The surgical indicators, immune and tumor marker levels, as well as prognostic complications between two groups were compared.Results .There was no remarkable diversity between the two groups in terms of operation time and the number of lymph nodes dissected during the operation ( p &gt; 0.05).The surgical blood loss in research group was lower than comparison group ( p &lt; 0.05).After treatment, the levels of cyfra21‐1, ca125, as well as vgef in the research group were markedly lower than comparison group ( p &lt; 0.05).The differences in cd 4+ , cd 3+ , and cd 4+ /cd 8+ after treatment were prominent, and the research group was higher than comparison group ( p &lt; 0.05).There was no statistical difference in postoperative complications between the two groups ( p &gt; 0.05).Conclusions .Single‐hole thoracoscopic lobectomy has obvious advantages in the treatment of nsclc, which can reduce intraoperative bleeding, enhance the recovery of patients’ immune function, and promote postoperative recovery.

Journal: Computational and Mathematical Methods in Medicine (2023)
Publication types: Research Article;
Pan-Cancer Analysis of Prognostic and Immune Infiltrates for the TMEM65, Especially for the Breast Cancer

Introduction .Transmembrane protein 65 (tmem65) is an inner mitochondrial membrane protein, which played important role in mediating autophagy, smooth muscle contraction, protein glycosylation, and immune response.In recent years, the interest had risen for exploring the function of the tmem genes in the cancer fields.As a consequence, in our pan‐cancer research of the tmem65, we explored the function of the gene in kinds of database and tried to apply the finding in the clinical practice.Methods.In this research, we provide a comprehensive investigation of tmem65 expression in a pan‐cancer manner containing 33 cancer types.We evaluated the association of tmem65 with the prognosis, immune infiltration, drug sensitivity analysis, gsva enrichment analysis, tmb, msi, neo, and hotspot mechanisms.Results .Tmem65 was abnormally expressed in 24 types of cancers and showed correlation with the os for 6 cancers and pfi for 9 cancers and kp i for 3 types.Moreover, the tme score, cd8 t effector, and immune checkpoint scoring systems showed a close correlation with the tmem65.Moreover, tmem65 was strongly correlated with some of the most common tumor‐related genes and certain pathways (tgf beta signaling, tnfa signaling, hypoxia, pyroptosis, dna repairing, autophagy, ferroptosis, and other related genes).Additionally, the tmem65 showed correlations with the tumor mutational burden (tmb), microsatellite instability (msi), neo, and drug sensitivity.Finally, we confirmed several pathways by the gsea and gsva for the tmem65 at the breast cancer aspects.Nomogram prediction model was also established for the breast tumors based on the tmem65 level and other variables.Conclusion .Above all, the tmem65 played important roles in predicting the prognosis of the cancers and correlated with the tumor immunity in the pan‐cancer analysis.

Journal: Evidence-Based Complementary and Alternative Medicine (2023)
Publication types: Research Article;
Outcome of Nursing Based on Health Belief United with Knowledge, Belief, and Practice Mode on Gastroscopy of Patients with Gastric Cancer

If gastric cancer can be detected through early screening, and scientific and reasonable intervention methods can be selected in time, the condition can be effectively controlled.Routine nursing has been unable to obtain satisfactory results, and the effect on improving the compliance of the examiner is not outstanding.The research aims to estimate the outcome of nursing based on health belief combined with knowledge, belief, and practice on gastroscopy in patients with gastric cancer.Methods.126 patients with clinically diagnosed gastric cancer in the number two hospital of baoding from may 2020 to may 2022 were randomly divided into belief guidance group and mode group, with 63 instances each.The mode group was intervened via the mode of knowledge, belief, and practice, and the belief guidance group was intervened via the nursing based on health belief on the basis of the mode group.Before and after the nursing, the health belief, examination compliance, inappropriateness, and negative emotion in different time periods were contrasted between the two groups.Results.After the nursing, the scores of health belief scale in the belief guidance group were enhanced than those in the mode group; the compliance rate of the belief guidance group was markedly enhanced than that of the mode group, and the inappropriateness during the insertion and examination was lower than that of the mode group; the scores of self-rating anxiety scale (sas) and self-rating depression scale (sds) in the two groups preinsertion and postnursing were markedly lower than those in the mode group.Conclusion.Nursing based on health belief guidance united with knowledge, belief, and practice mode nursing can advance the health belief and compliance of gastroscopy in patients with gastric cancer, reduce discomfort, and effectively advance the negative emotions of patients.It is worthy of clinical application.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
Optimisation of Working Line Length during the Period of Gently Inclined Slope in Tilted Coal Seam Open-Pit Mine

In the initial production phase of an inclined seam opencast mine, due to initial investment and production capacity constraints, zoning or phasing is usually used, resulting in changes in the length of the working line during the transition of the mining area.To simplify the process, this article analyses the changes in the length of the working line during the period of slow gang steering in inclined seam opencast mines.In order to simplify the process, this article analyses the changes in the length of the working line in each period.The relationship between the length of the working line and the realm stripping ratio in the overlapping area of the two mining areas is discussed, and the variation in the realm stripping ratio and the economically reasonable stripping ratio under different working line lengths is illustrated.The advantages and disadvantages of the different optimization options are described.The optimization method was applied to the zhundong opencast coal mine to calculate the working line lengths for the two stages.The optimized stripping ratio for the second-stage south gang location is equal to the economically reasonable stripping ratio of 3.50 m3/t, which reduces coal compression and improves economic efficiency, and is a guideline for the study of the working line lengths in each stage of the open-pit mine slow gang turning.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
Optimal Extraction Process and In Vivo Anti-Inflammatory Evaluation of High Purity Oily Capsicum Oleoresin for Pharmaceutical Applications

Recently, plant-derived anti-inflammatory products have received an increasing attention from researchers due to their excellent in vivo activity with limited side effects.Therefore, the extraction of natural active compounds from the plant with high purity for use in anti-inflammatory formulations is required.In this study, oily capsicum oleoresin (oco) was extracted from capsicum frutescens l.In ethanol by the ultrasound-assisted extraction technique, followed by a centrifugation step for a high purity oco extract, which can be applied to develop anti-inflammatory formulations.The impact of various conditions (ethanol concentration, sonicating temperature, extraction time, solvent-to-sample ratio, and extraction repetition) on the efficiency of the extraction process was investigated.The results showed that the optimized conditions for the high yield of oco were 95% ethanol, 50–60°c, 60 minutes, solvent-to-sample ratio of 5 : 1 ml/g, and one extraction repetition, followed by centrifuging at 5000 rpm in 2 hours.Then, the purity and in vivo anti-inflammatory activities of the obtained oco was then determined by using the hplc method and carrageenan-induced mice paw edema model, respectively.The purity of oco was determined as 3.408 mg capsaicin per gram of capsicum powder; meanwhile, its anti-inflammatory effect value was approximate to that of the commercial drug diclofenac after 48 hours of treatment.The high purity oco prepared by this low-cost and ecofriendly extraction process would be a promising material for anti-inflammatory formulations.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
Numerical Simulation and Active Protection of Lightning Discharge Based on Quantum Heuristic Evolutionary Algorithm

Thunder is a discharge phenomenon that often occurs in nature.Due to its physical influences such as strong current, high temperature, strong shock waves, and strong electromagnetic radiation, it has a huge destructive effect instantly, which may bring serious threats to people’s lives and property safety.This study aimed to study the lightning discharge numerical simulation and active protection based on the quantum heuristic evolutionary algorithm and proposed to apply the lightning discharge numerical simulation to the prevention of lightning disasters.This article gives a detailed description of the quantum algorithm, the generation, and harm of lightning discharge.The genetic algorithm is used to optimize the lightning data simulation algorithm, and the optimization process is introduced in detail.In addition, this article conducts related experiments on lightning discharge numerical simulation and active protection.The experimental results show that targeted active protection and effective numerical simulation are important measures to prevent lightning disasters.Active lightning protection measures can reduce lightning by 30%.Losses are caused by disasters.

Journal: International Transactions on Electrical Energy Systems (2022)
Publication types: Research Article;
On the Training Mode of Innovative and Entrepreneurial Talents in Higher Vocational Finance and Economics Professional Groups under the Background of “Big Wisdom and Cloud”

The arrival of the era of “big wisdom and cloud” has promoted the restructuring of the industrial system, and the development of the new economy has also brought new changes to the demand for financial and business professionals.With the change of the employment market, the training objectives of financial and business professionals are also changing day by day.Practical teaching is becoming more and more important in the training of financial and business professionals.“employment” in people’s livelihood has been identified as the main goal of government work.As the main source of economic restructuring, “mass innovation and mass entrepreneurship” has successfully integrated the spirit of innovation into all fields of society.Entrepreneurship has attracted the attention of the whole society.Under the influence of policy factors and various factors during the entrepreneurship period, the source and connotation of china’s entrepreneurship policy have changed significantly.On the basis of summarizing the practical teaching modes of foreign finance and economics majors, this study introduces the training objectives, conditions, and curriculum settings of the practical teaching of finance and economics majors in higher vocational colleges.This paper designs a recommendation algorithm for innovation and entrepreneurship talent training model based on potential dirichlet distribution (lda) theme model and alternating least squares (als) collaborative filtering, which not only improves the accuracy of the recommendation results of talent training model but also improves the accuracy of the recommendation results of talent training model.On the premise of stable recommendation, the diversity of recommendation results has increased, which meets the needs of innovative and entrepreneurial talent training of higher vocational finance and economics majors under the background of “great wisdom and cloud” and provides a certain reference for the practical teaching reform of higher vocational finance and economics majors in china.The cultivation of compound talents is of great significance to the development of professionals in modern multimedia and advanced e-commerce industries.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Neurogenerative Disease Diagnosis in Cepstral Domain Using MFCC with Deep Learning

Because underlying cognitive and neuromuscular activities regulate speech signals, biomarkers in the human voice can provide insight into neurological illnesses.Multiple motor and nonmotor aspects of neurologic voice disorders arise from an underlying neurologic condition such as parkinson’s disease, multiple sclerosis, myasthenia gravis, or als.Voice problems can be caused by disorders that affect the corticospinal system, cerebellum, basal ganglia, and upper or lower motoneurons.According to a new study, voice pathology detection technologies can successfully aid in the assessment of voice irregularities and enable the early diagnosis of voice pathology.In this paper, we offer two deep-learning-based computational models, 1-dimensional convolutional neural network (1d cnn) and 2-dimensional convolutional neural network (2d cnn), that simultaneously detect voice pathologies caused by neurological illnesses or other causes.From the german corpus saarbruecken voice database (svd), we used voice recordings of sustained vowel /a/ generated at normal pitch.The collected voice signals are padded and segmented to maintain homogeneity and increase the number of samples.Convolutional layers are applied to raw data, and mfcc features are extracted in this project.Although the 1d cnn had the maximum accuracy of 93.11% on test data, model training produced overfitting and 2d cnn, which generalized the data better and had lower train and validation loss despite having an accuracy of 84.17% on test data.Also, 2d cnn outperforms state-of-the-art studies in the field, implying that a model trained on handcrafted features is better for speech processing than a model that extracts features directly.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Muscone Inhibits the Excessive Inflammatory Response in Myocardial Infarction by Targeting TREM-1

The inhibitory effect of muscone on the hyperinflammatory response after myocardial ischemia reperfusion injury (miri) was investigated, and the target and signal pathways of muscone were explored.The levels of inflammatory cytokines interleukin-1β, interleukin-6, and tumor necrosis factor alpha were detected through q rt-pcr and elisa.The expression levels of p38 and nf-κb signaling pathway-related proteins were detected through western blot.Trem-1 si rna was transfected into macrophages in vitro.The rat model of myocardial ischemia was established and used in studying the inhibitory effect of muscone on the inflammatory response and its protective effect muscone on myocardial apoptosis.The expression of trem-1 was upregulated during myocardial ischemia.Knocking down trem-1 decreased the increase in inflammatory cytokines in the supernatant of macrophages induced by rm hmgb1 (1 μg/m l) and rm hsp60 (1 mol/m l).In addition, knocking down trem-1 decreased p38 and nf-κb signaling activation.Muscone can protect myocardial cells by inhibiting the expression of trem-1 and the inflammatory response after myocardial infarction.Further study showed that muscone inhibited the production of dam-triggered (damage-associated molecular pattern trigger) inflammatory cytokines.In addition, muscone inhibited the activation of p38 and nf-κb signals under dam-induced conditions.Muscone and trem-1 gene knockout reduced cell apoptosis and provided protection against miri by inhibiting p38 and nf-κb signaling activation.Mechanism studies showed that muscone inhibited the production and release of inflammatory cytokines by inhibiting trem-1, and thereby reducing the inflammatory response and providing protection against miri.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Multiclass Classification of Chest X-Ray Images for the Prediction of COVID-19 Using Capsule Network

It is critical to establish a reliable method for detecting people infected with covid-19 since the pandemic has numerous harmful consequences worldwide.If the patient is infected with covid-19, a chest x-ray can be used to determine this.In this work, an x-ray showing a covid-19 infection is classified by the capsule neural network model we trained to recognise.6310 chest x-ray pictures were used to train the models, separated into three categories: normal, pneumonia, and covid-19.This work is considered an improved deep learning model for the classification of covid-19 disease through x-ray images.Viewpoint invariance, fewer parameters, and better generalisation are some of the advantages of caps net compared with the classic convolutional neural network (cnn) models.The proposed model has achieved an accuracy greater than 95% during the model’s training, which is better than the other state-of-the-art algorithms.Furthermore, to aid in detecting covid-19 in a chest x-ray, the model could provide extra information.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Modeling of Compulsive Behavior Types of Obsessive-Compulsive Disorder Patients by Using the Data Mining Method

Data mining is a method that is used to find data that are precise, previously uncertain, and logical values from a comprehensive set of information.Data mining is used as a tool for determining the accuracy of classifications of data obtained in the field of bioinformatics by using different algorithm approaches.In this study, the data mining method was used to classify the accuracy of different algorithms and predict the types of compulsive behavior of patients with obsessive compulsive disorder.Data collected from a total of 164 people, 70 males and 94 females, were analyzed.The age range of the people participating in the study was between 7 and 73, and the calculated mean age was 32.4.Data about sociodemographic characteristics, course of disease, treatments, family histories, obsession, and compulsion types of the participants were collected through data collection instruments.Classification algorithm methods found in weka software were chosen to process the data.The effect of the types of obsession on the types of compulsion was determined using regression models.The levels of success of the generated models were compared.The results of the study demonstrated the presence of a moderate positive correlation (.35) between these two variables.According to the coefficient of determination, obsession explained 11% of the variance in compulsion.These findings supported the established hypothesis that the effect of the types of obsession was effective on the types of compulsion.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
MiR-375-3p Promotes Cardiac Fibrosis by Regulating the Ferroptosis Mediated by GPX4

Although coronary artery recanalization after myocardial infarction improves patient outcomes, inadequate ventricular remodeling following ischemia-reperfusion (ir) injury and secondary cardiac fibrosis (cf) are common and can lead to heart failure.Micro rnas (mi rnas) play an important role in cardiovascular disorders.However, the underlying molecular mechanism of mi rnas in the occurrence and progression of cf has not been fully elucidated.Herein, through the construction of an i/r rat model and an angiotensin ii-induced cf cell model, we evaluated the role of mi r-375-3p in the progression of cf.In the i/r rat model and cf cell model, mi r-375-3p promoted fibrosis by accelerating the ferroptosis of cardiomyocytes through mediating glutathione peroxidase 4 (gpx4).Furthermore, we treated the rats or cell model with mi r-375-3p antagomir (or inhibitor) and ferroptosis inhibitor ferrostatin-1 (fer-1).The results showed that mi r-375-3p antagomir (or inhibitor) and fer-1 promoted the antioxidant capacity of cardiac fibroblasts, reduced gpx4-mediated ferroptosis process and alleviated i/r-induced cf.In conclusion, this study revealed that mi r-375-3p directly targeted gpx4—an inhibitor of the ferroptosis pathway.Meanwhile, mi r-375-3p can be a new potential biomarker for the prevention and treatment of cf.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
MiR-199 Aggravates Doxorubicin-Induced Cardiotoxicity by Targeting TAF9b

The clinical application of doxorubicin (dox) is limited because of its cardiotoxicity.However, the pathogenic mechanism of dox and the role of mi rna in dox-induced cardiotoxicity remain to be further studied.This study aimed to investigate the role of mi r-199 in dox-mediated cardiotoxicity.A mouse model of myocardial cell injury induced by dox was established.Quantitative real-time polymerase chain reaction (q rt-pcr) was used to detect the expression changes of mi r-199 and tata-binding protein associated factor 9b (taf9b) in dox-induced cardiac injury.Cell apoptosis was detected by tunel staining and flow cytometry.The expression levels of apoptosis-related proteins, namely, bax and bcl-2, were detected by q pcr.The expression of beclin-1 and lc3b was detected by western blotting.The binding effect of mi r-199 with taf9b was verified by dual-luciferase reporter gene assay.In this study, overexpression of mi r-199 could promote cardiotoxicity.Inhibition of mi r-199 could alleviate dox-mediated myocardial injury.Further studies showed that mi r-199 targeted taf9b.Moreover, mi r-199 promoted apoptosis of myocardial cells and aggravated autophagy.Furthermore, we demonstrated that taf9b knockdown reversed the myocardial protective effect of mi r-199 inhibitors.Therefore, mi r-199 promoted dox-mediated cardiotoxicity by targeting taf9b, thereby aggravating apoptosis and regulating autophagy.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;