syedzayyan/paper_mill_benchmark huggingface dataset:
Adverse Pregnancy Outcomes Associated with Endometriosis and Its Influencing Factors

To investigate the adverse pregnancy outcomes associated with endometriosis and its influencing factors.Methods .A total of 188 endometriosis patients who gave birth at our hospital between june 2018 and january 2021 were screened for eligibility and included in the research group, while a control group of 188 nonendometriosis women who delivered at our hospital during the same period were also included as healthy controls.Pregnancy outcomes were the key outcome measure, and the relationship between endometriosis and unfavorable pregnancy outcomes, as well as the influencing factors, were explored.Results .There was no significant difference in the risk of adverse pregnancy events such as miscarriage, ectopic pregnancy, termination of pregnancy, and fetal death between the two groups ( p &gt; 0.05).The differences in hypertensive disorder in pregnancy, gestational diabetes, placental abruption, fetal growth restriction, and luteal support between the two groups also failed to reach the statistical standard ( p &gt; 0.05).The two groups significantly differed in terms of cesarean delivery, preterm delivery, and placenta previa (1.92 (95% ci 1.33–2.85), 2.43 (95% ci 1.05–5.58), and 4.51 (95% ci 1.23–16.50)) ( p &lt; 0.05).Conclusion .Endometriosis is an influential factor in adverse pregnancy outcomes and results in a high risk of preterm delivery, placenta previa, and cesarean delivery in patients.Mutual interactions exist among adverse pregnancy outcomes and thus require appropriate management.

Journal: Evidence-Based Complementary and Alternative Medicine (2023)
Publication types: Research Article;
Artificial Intelligence Enterprise Management Using Deep Learning

In this paper, we explore the application status of deep learning (dl) in enterprise management, with china merchants bank as an example, and the role of dl in bank enterprise management.We analysed the application status of ai in marketing, risk control, investment, and other fields of cmb and identified five types of problems encountered in the current practical application of ai.We proposed five countermeasures: strengthening the ai organisation system’s construction, enhancing the financial data guarantee mechanism, concentrating on customer-oriented, tightly managing the danger of ai technology, and building a full ai talent system.Recent data are used to assess the impact of dl in marketing, risk management, and investment consulting.According to the data, by the end of 2019, the number of clients of cmb’s two app platforms had reached 114 million and 91.2643 million, respectively.In 2019, cmb’s personal savings balance climbed by roughly 53% compared to 2016, and its personal loan amount increased by approximately 61%.These findings indicate that the use of ai improves consumer happiness and trust in businesses.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
A Systematic Review and Meta-Analysis of Influences of Chronic Kidney Disease on Patients after Percutaneous Coronary Intervention for Chronic Total Occlusions

Chronic kidney disease (ckd) is a clinical collective term for kidney disease with glomerular filtration rate (gfr) &lt; 60 m l/min for more than three months due to various factors and is usually associated with coronary heart disease and is also an independent risk factor for coronary heart disease.This study is aimed at systematically reviewing the influence of ckd on the outcomes of patients after percutaneous coronary intervention (pci) for chronic total occlusions (ctos).Methods.The cochrane library, pub med, embase, china biomedical literature database (sino med), china national knowledge infrastructure, and wanfang database were searched for case‐control studies on the influence of ckd on outcomes after pci for ctos.After screening the literature, extracting data, and evaluating the quality of literature, rev man 5.3 software was used for meta‐analysis.Results.There were 11 articles with a total of 558,440 patients included.Meta‐analysis results indicated that left ventricular ejection fraction (lvef) level, diabetes, smoking, hypertension, coronary artery bypass grafting, angiotensin converting enzyme inhibitor (acei)/angiotensin receptor blocker (arb), β ‐blockers, age, and renal insufficiency were the factors affecting outcomes after pci for ctos [risk ratio and 95% confidence interval were: 0.88 (0.86, 0.90), 0.96 (0.95, 0.96), 0.76 (0.59, 0.98), 1.39 (0.89, 2.16), 0.73 (0.38, 1.40), 0.24 (0.02, 3.9), 0.78 (0.77, 0.79), 0.81 (0.80, 0.82), and 1.50 (0.47, 4.79)].Conclusion.Lvef level, diabetes, smoking, hypertension, coronary artery bypass grafting, acei/arb, β ‐blockers, age, renal insufficiency, etc.Are important risk factors for outcomes after pci for ctos.Controlling these risk factors is of great significance for the prevention, treatment, and prognosis of ckd.

Journal: Computational and Mathematical Methods in Medicine (2023)
Publication types: Meta-Analysis;Review Article;
A Statistical Prediction Model for Healthcare and Landslide Sensitivity Evaluation in Coal Mining Subsidence Area

The purpose of this study is to compare the results of the frequency ratio (fr) model with the weight of evidence (woe) and the logical regression (lr) methods when applied to the landslide susceptibility evaluation in coal mining subsidence areas.Key geological disaster prevention and control areas are taken as the research areas.Field investigation is carried out according to the recorded landslide disaster points in the past five years, and 86 landslide disaster points are determined from the remote sensing satellite images.Furthermore, 12 factors affecting the occurrence of landslide are selected as landslide sensitivity evaluation factors.Among them, slope degree, curvature, elevation, and slope aspect are derived using the digital elevation model (dem) through 30 m × 30 m resolution.The dem datasets are derived from the geospatial data cloud, lithology datasets are derived from the geological lithology maps, and land use type map is derived from the current situation of national land use.The distances between roads and coal mining subsidence areas are calculated according to field investigation and remote sensing image interpretation results.In addition, the evaluation model includes an annual rainfall distribution map.Finally, the accuracy of three models is compared by roc curve analysis.The elevation results demonstrate that the frequency ratio-logic regression (fr-lr) model takes the maximum accurateness of 0.913, subsequent to the fr model and the frequency ratio-weight of evidence (fr-woe) model, respectively.Thus, using lr method based on the fr model has guiding significance for predicting the landslide sensitivity in coal mining.This reduces probable risks and disasters that affect human health.Subsequently, this ensures higher safety from the healthcare perspective in the mining fields.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
A Robust Image Encrypted Watermarking Technique for Neurodegenerative Disorder Diagnosis and Its Applications

The use of internet technology has led to the availability of different multimedia data in various formats.The unapproved customers misuse multimedia information by conveying them on various web objections to acquire cash deceptively without the first copyright holder’s intervention.Due to the rise in cases of covid-19, lots of patient information are leaked without their knowledge, so an intelligent technique is required to protect the integrity of patient data by placing an invisible signal known as a watermark on the medical images.In this paper, a new method of watermarking is proposed on both standard and medical images.The paper addresses the use of digital rights management in medical field applications such as embedding the watermark in medical images related to neurodegenerative disorders, lung disorders, and heart issues.The various quality parameters are used to figure out the evaluation of the developed method.In addition, the testing of the watermarking scheme is done by applying various signal processing attacks.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
A Review of the Phytochemistry, Ethnobotany, Toxicology, and Pharmacological Potentials of Crescentia cujete L. (Bignoniaceae)

Crescentia cujete is an economical and medicinal plant of wide indigenous uses including hypertension, diarrhea, respiratory ailments, stomach troubles, infertility problems, cancer, and snakebite.Despite these attributes, c.Cujete is largely underutilized, notwithstanding the few progresses made to date.Here, we reviewed the available findings on the ethnobotany, phytochemistry, toxicology, and pharmacology, as well as other economic benefits of the plant.The information on the review was gathered from major scientific databases (google scholar, scopus, science direct, web of science, pub med, springer, and bio med central) using journals, books, and/or chapters, dissertations, and conference proceedings.The review established the antidiabetic, antioxidant, acaricidal, antibacterial, anti-inflammatory, anthelmintic, antivenom, wound healing, neuroprotection, antiangiogenic, and cytotoxic properties from aqueous and organic (particularly ethanol) aerial parts attributed to several secondary metabolites such as flavonoids, alkaloids, saponins, tannins, phenols, cardiac glycosides, phytosterols, reducing sugar, and volatile oils.Economically, the fruit hard outer shell found applications as musical tools, tobacco pipes, bowls, food containers, and bioethanol production.While most of the current studies on c.Cujete are mainly from asia and south america (philippines, bangladesh, india, etc.), part of the persistence challenge is lack of comprehensive data on the plant from in vivo pharmacological studies of its already characterized compounds for probable clinical trials toward drug discovery.Consequently, upon this, modern and novel translational studies including the concept of ‘-omics’ are suggested for studies aiming to outfit more comprehensive data on its therapeutic profiles against pathological markers of diseases and to fully explore its economic benefits.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Review Article;
A Preliminary Study on the Value of Intestinal Flora in Predicting Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Refractory Hypertension

To investigate the value of intestinal flora in predicting major adverse cardiovascular and cerebrovascular events (macce) in patients with refractory hypertension (rh).Methods.359 patients with rh hospitalized in our hospital from april 2020 to march 2021 were followed up for 1 year and selected for the study.These patients were divided into a macce group and no-macce group.Results were analyzed by comparing general information, the abundance of intestinal flora at the phylum level, and the abundance of intestinal flora at the species level between the two groups.The influence factors related to macce were evaluated using multifactor logistic regression analysis, and the value of intestinal flora in predicting macce was determined using receiver operating characteristic (roc) and the area under roc (auc).Results.Systolic blood pressure was higher in the macce group than in the no-macce group ( p &lt; 0.05 ).The abundances of actinomycetes and verrucomicrobia were higher in the macce group than in the no-macce group, while unnamed viruses were the opposite ( p &lt; 0.05 ).The abundances of eubacterium eligens, akkermansia muciniphila, prevotella stercorea, and eubacterium rectale were lower in the macce group than in the no-macce group, while escherichia coli, clostridium hathewayi, and ruminococcus gnavus were opposite ( p &lt; 0.05 ).Systolic blood pressure, actinomycetes, unnamed viruses, verrucomicrobia, eubacterium eligens, akkermansia muciniphila, prevotella stercorea, eubacterium rectale, escherichia coli, clostridium hathewayi, and ruminococcus gnavus were closely associated with macce in rh patients ( p &lt; 0.05 ).In addition, akkermansia muciniphila had the highest auc among the single indicator but was still lower than the auc of the combined detection.Conclusion.The increases of actinomycetes, verrucomicrobia, escherichia coli, clostridium hathewayi, and ruminococcus gnavus and the decreases of unnamed viruses, eubacterium eligens, akkermansia muciniphila, prevotella stercorea, and eubacterium rectale were associated with macce in rh patients, and the combined detection may provide a method and idea for predicting and preventing macce.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Clinical Study;
A Novel Immune-Associated Gene Signature for Overall Survival Prediction in Patients with Oral Squamous Cell Carcinoma

To explore a novel immune-associated gene signature for overall survival (os) in patients with oral squamous cell carcinoma (oscc).Methods.Expression profiles of genes and corresponding clinical materials of oscc patients were obtained through the tcga database.With a lasso cox regression model, a multigene signature was established to predict the os of oscc patients.Some molecular experiments including rna interference, mtt, and transwell assay were applied to verify the role of the risk gene fgf9 in oscc.Results.43 immune-related prognostic degs were identified in oscc.A 17-gene signature was established to assign the patients to either a high-risk group (hg) or a low-risk group (lg).The hg presented a shorter os than the lg ( p &lt; 0.05 ).According to multivariate cox regression analyses, the risk score was considered an independent factor for os prediction (training set: hr = 3.485, 95% ci = 2.037–5.961, p &lt; 0.001 ; test set: hr = 4.531, 95% ci = 2.120–9.682, p &lt; 0.001 ).Roc curve-based analysis revealed the signature’s ability for prediction.According to functional analysis, the immune cell expression and immune function of the hg were significantly inhibited.After knocking down the high-risk gene fgf9, the migration, proliferation, and invasion capabilities of oscc cells hsc6 were significantly suppressed ( p &lt; 0.05 ).Conclusion.A novel immune-associated gene signature was identified for predicting the prognosis of oscc.These risk genes show great potential as targets for oscc treatment.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
A Novel Identified Peptide Hormone “Metabolitin” Attenuates Lipid Absorption in the Small Intestine of Diabetic Mice with Nonalcoholic Fatty Liver Disease by Regulating Neurotensin and AMPK Signaling Pathway

The purpose of this study was to explore the effect of a novel identified peptide hormone “metabolitin” on lipid absorption in the small intestine of mice with type 2 diabetes mellitus (t2dm) and nonalcoholic fatty liver disease (nafld) and potential mechanisms.Methods.T2dm was induced in mice by 4–6 weeks of high-fat diets followed by intraperitoneal injection of 35 mg/kg stz.Nafld was induced in diabetic mice by a month of high-fat diets.Oral administration of 4 pmol/g or 12 pmol/g metabolitin every two days was performed during one-month high-fat diets.Triglyceride (tg) and total cholesterol (tc) detection and oil red o staining were performed to evaluate lipid absorption.The neurotensin (nt) levels in the intestinal tissues and serum were determined by elisa.Lipogenesis- and lipolysis-related proteins, amp-activated protein kinase (ampk), and p-ampk were examined by western blot analysis.Results.It was found that glucose tolerance test (gtt), insulin tolerance test (itt), tg, and tc indicated lower levels in the serum of nafld/t2dm mice receiving 4 pmol/g and 12 pmol/g metabolitin compared to the mice receiving normal saline ( p &lt; 0.05 ).No significant difference was noted in the tc level of the feces among mice with different diets ( p &gt; 0.05 ), but compared to nafld/t2dm mice with normal saline, the mice administrated with 4 pmol/g and 12 pmol/g metabolitin revealed much higher tg levels in the feces ( p &lt; 0.05 ).The results of oil red o staining revealed that the intestinal epithelial cells of nafld/t2dm mice receiving 12 pmol/g metabolitin indicated resistance to lipid absorption and the area of staining was smaller than that of nafld/t2dm mice with normal saline ( p &lt; 0.05 ).The nafld/t2dm mice receiving 4 pmol/g and 12 pmol/g metabolitin showed a higher extent of p-ampk concomitant with lower levels of nt in the serum and small intestine than the mice with normal saline ( p &lt; 0.05 ).Western blot analysis also suggested that nafld/t2dm mice receiving 4 pmol/g and 12 pmol/g metabolitin revealed lower expressions in fatty acid synthase (fas), acetyl-co a carboxylase (acc), stearoyl-co a desaturase-1 (scd-1), and sterol regulatory element-binding transcription factor-1 (srebp1) proteins and higher expressions in carnitine palmitoyltransferase 1 (cpt1), peroxisome proliferator-activated receptor alpha (pparα), and fatty acid translocase (cd36) proteins than nafld/t2dm mice with normal saline ( p &lt; 0.05 ).Conclusion.According to the data we observed, oral administration of metabolitin could attenuate lipid absorption in the small intestine of nafld/t2dm mice, which may be a novel therapeutic approach for nafld/t2dm.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;
A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization

Breast cancer is the most common invasive cancer in women and the second main cause of cancer death in females, which can be classified benign or malignant.Research and prevention on breast cancer have attracted more concern of researchers in recent years.On the other hand, the development of data mining methods provides an effective way to extract more useful information from complex databases, and some prediction, classification, and clustering can be made according to the extracted information.The generic notion of knowledge distillation is that a network of higher capacity acts as a teacher and a network of lower capacity acts as a student.There are different pipelines of knowledge distillation known.However, previous work on knowledge distillation using label smoothing regularization produces experiments and results that break this general notion and prove that knowledge distillation also works when a student model distils a teacher model, i.e., reverse knowledge distillation.Not only this, but it is also proved that a poorly trained teacher model trains a student model to reach equivalent results.Building on the ideas from those works, we propose a novel bilateral knowledge distillation regime that enables multiple interactions between teacher and student models, i.e., teaching and distilling each other, eventually improving each other’s performance and evaluating our results on bach histopathology image dataset on breast cancer.The pretrained res ne xt29 and mobile net v2 models which are already tested on image net dataset are used for “transfer learning” in our dataset, and we obtain a final accuracy of more than 96% using this novel approach of bilateral kd.

Journal: Computational and Mathematical Methods in Medicine (2021)
Publication types: Research Article;
A Multicentre Randomized Controlled Clinical Study of Cross Electro-Nape-Acupuncture (CENA) for the Treatment of Pseudobulbar Palsy in Patients with Tracheotomy Intubation for Severe Cerebral Haemorrhage

The objective is to evaluate the clinical efficacy of cross electro‐nape‐acupuncture (cena) in the treatment of pseudobulbar palsy in patients with tracheotomy intubation for severe cerebral haemorrhage and to provide an innovative acupuncture method for the treatment of such patients.Methods .A total of 126 patients from six trial centres who met the inclusion criteria were randomly divided into three groups according to the random number table method in the ratio of 1 : 1 : 1, with 42 patients in each group, and the three groups were divided into cena group, electro‐acupuncture group, and acupuncture group.Each group’s acupuncture treatment lasted for 30 minutes, and the needles were removed at the end of the treatment.Acupuncture was performed once a week on sunday only and twice a day from monday to saturday, a total of 4 weeks of treatment.The swt, fda, ch swal‐qol, and tcrgs scores of the three groups of patients before and after treatment were compared to evaluate the effect of cena on remodelling the function of swallowing reflex and cough reflex and promoting the recovery of dysarthria and swallowing quality of life in pseudobulbar palsy in patients with tracheotomy intubation for severe cerebral haemorrhage.Results .After treatment, the wst and tcrgs grade scores decreased and the fda and ch swal‐qol scores increased significantly in all three groups compared with the pretreatment scores and were statistically significant.There was a significant difference between the three groups for these four indicators after treatment; the comparison between groups showed significant differences in the cena group compared to the electro‐acupuncture and acupuncture groups.The efficiency of the cena group was significantly better than that of the electro‐acupuncture and acupuncture groups.Conclusion .Compared with the acupuncture and electro‐acupuncture groups, the cena could better promote the remodelling of swallowing function and cough reflex function, promote the recovery of dysarthria, and better improve the quality of life of patients with pseudobulbar palsy from tracheotomy intubation in severe cerebral haemorrhage.

Journal: Evidence-Based Complementary and Alternative Medicine (2023)
Publication types: Clinical Study;