syedzayyan/paper_mill_benchmark huggingface dataset:
Factors of Parents-Reported Readiness for Hospital Discharge in Children with Acute Leukemia: A Cross-Sectional Study

The aim of this study is to investigate the existing status and to explore the influencing factors of parents-reported readiness for hospital discharge in children with acute leukemia (al) in china and to propose optimizing pathways and recommendations of discharge readiness for clinical reference.Methods.A cross-sectional survey was conducted for the 122 children with al who were discharged from the second affiliated hospital and yuying children’s hospital, wenzhou medical university; their parents were investigated by using the modified chinese version of readiness for hospital discharge scale (rhds) and quality of discharge teaching scale (qdts).Data were collected between september 2020 and may 2021.univariate analysis and multivariate logistic regression analysis were performed to explore the influencing factors of readiness for hospital discharge.Results.The 122 children with al included 52 females and 70 males with mean age 6.08 years.The total rhds score was 7.7 ± 1.2, and 68.9% of the participants had high readiness for hospital discharge (rhds score &gt;7).The total qdts score was 7.6 ± 2.0.Parent marital status (or = 4.86, 95% ci: 1.31–18.05), education status (or = 3.86, 95% ci: 1.18–12.55), family per capita monthly income (or = 1.08, 95% ci: 1.01–2.99), and high qdts (or = 1.56, 95% ci: 1.11–2.68) were risk factors for high rhds.Conclusions.Our data suggest parents of children with al had high readiness for hospital discharge and had the ability to take care of their children after discharge.Parental marital status, education status, qdts score, and family per capita monthly income were independently associated with high rhds.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
Factors Affecting the Readmission of Patients with Pancreatic Cancer after Surgery

Pancreatic cancer is one of the deadliest solid malignancies.Its surgical resection is technically very challenging and has a high risk of complications even after discharge.This study analyzed the risk factors associated with unplanned readmission after pancreatic cancer surgery.Methods.Pancreatic cancer patients who were readmitted within 30 days after surgery were classified as the observation group, while those not readmitted within 30 days postsurgery were classified as the control group.The serum levels of gastrointestinal hormones, stress hormones, and peripheral immune cells of the two groups were compared at different intervals.Results.No significant differences in gender and age were observed between the two groups.At 7, 14, and 21 days postsurgery, the levels of gastrointestinal hormones motilin, gastrin, calcitonin gene-related peptide, and growth hormone-releasing peptide of the observation group were lower than the control group, while the levels of adrenocorticotropin, renin, angiotensin, and plasma aldosterone of the observation group were significantly higher than the control group.In addition, compared to the control group, lower levels of cd4+t cells, cd8+t cells, and nkt cells and higher levels of treg, breg, and mdsc cells were observed in the peripheral blood of the observation group.Conclusion.The serum levels of gastrointestinal hormones, stress hormones, and peripheral immune cells could be associated with the risk of unplanned readmission within 30 days after pancreatic cancer surgery.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Extraction and Dyeing Techniques of Traditional Vegetable Dyestuffs

In order to explore the influencing factors of the extraction of vegetable dyes, a research method for the extraction and dyeing of traditional vegetable dyes was proposed.In this paper, the effects of extraction temperature, extraction time, and the ratio of solid to liquid on the extraction effect were discussed through orthogonal experiments.The dyeing process of silk extract was used in this study.The silk fabric was directly dyed with natural dye from peach leaves, compared with the three dyeing methods of premordant, same-bath mordant, and postmordant, and the color fastness to soaping of the dyed fabric was tested.The results show that the color fastness to soaping of leaf-dyed fabrics conforms to the national standard of superior grades, which effectively proves the correctness of the algorithm and model nature and superiority.

Journal: International Journal of Analytical Chemistry (2022)
Publication types: Research Article;
Expression of SR-BI and LXRα in Macrophage Origin Foam Cells of Mouse RAW264.7 Up-Regulated by Astragalus Polysaccharide

To investigate the influences of astragalus polysaccharides (aps) on the expressions of sr‐bi(scavenger receptor‐bi) and lxr α in raw264.7 macrophage origin foam cells.Methods .Mouse raw264.7 cells were induced in foam cells and identification of the foamed by oil‐red o staining.The raw264.7 macrophage origin foam cells were dealt with aps with distinct contents (0, 10, 20, 50, or 100 mg/l).The m rna and protein expressions of sr‐bi and lxr α were measured by rt‐pcr as well as elisa, respectively.Results .Macrophages were differentiated into foam cells 48 h after ox‐ldl induction.In contrast to the control part, the m rna and protein expressions of sr‐bi and lxr α in raw264.7 macrophage origin foam cells were up‐regulated dosage‐dependently after being treated with different concentrations of aps ( p &lt; 0.05).Conclusion .Aps could promote intracellular cholesterol efflux by up‐regulating the expressions of sr‐bi and lxr α of raw264.7 cells.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Expression and Clinicopathological Significance of SOX11 in Small-Cell Lung Cancer

This study aims to investigate the expression of neuronal transcription factor sox11 in small‐cell lung cancer (sclc) and compare it with the expression of cd56 (nerve cell adhesion molecule), synaptophysin (syn), chromogranin a (cg a), and thyroid transcription factor‐1 (ttf‐1) to explore the application value of sox11 in the pathological diagnosis of sclc.Methods .Immunohistochemical methods were used to detect the expression of sox11, ttf‐1, cd56, syn, and cg a in 120 lung tumor tissues, and experimental results were analyzed using spss23.0 statistical software.Results .Immunohistochemical results showed that in the 120 lung tumor samples, sox11 was highly expressed in sclc and localized to the nucleus, with low or no expression in control carcinoid/lung neuroendocrine tumors, lung adenocarcinomas, and lung squamous cell carcinomas.Statistical analysis results revealed the following points.First, the expression of sox11 was closely related to the tumor histological type.The expression of sox11 in sclc (positive rate of 63.33%) was significantly higher than that in carcinoid/neuroendocrine tumors (positive rate of 12.50%), lung adenocarcinoma (positive rate of 0%), and lung squamous cell carcinoma (positive rate of 0%).Second, immunohistochemical investigation of 60 sclc cases revealed that the highest positive rates of cd56, ttf‐1, and syn, respectively, were 93.33 percent, 95 percent, and 86.67 percent.Sox11 also exhibited high sensitivity (0.633) and specificity (0.875) in sclc.The positive rates of sox11 and cg a were 63.33% and 50.00%, respectively.Statistical results revealed that the positive rate of cg a had no significant difference ( p &gt; 0.05).Lastly, the combined use of antibodies sox11, cg a, cd56, syn, and ttf‐1 was more beneficial to improving the diagnosis rate of sclc than the single use of one or two antibodies.Conclusion .The expression of sox11 in different histological types of lung tumors differs considerably.Sox11 is highly expressed in sclc.Sox11 can be used as a beneficial supplement to the combination of classical neuroendocrine markers and in combination with cg a, cd56, syn, and ttf‐1 to assist in the diagnosis of sclc.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Expression and Clinical Significance of Ki67 and SOX2 in Colorectal Cancer

The purpose of the paper is to explore the expression levels and clinical significance of ki67 and sex‐determining region y‐box 2 (sox2) in colorectal cancer.From january 2013 to december 2016, 176 patients with colorectal cancer who were pathologically diagnosed after surgery in the department of general surgery in xiamen chinese medical hospital are included in this study.The pathological parameters, including gender, age, pathological stage, depth of tumor invasion, lymph node metastasis, and distant metastasis, are recorded.Immunohistochemistry is used to detect the correlation between ki67 and sox2 protein expression and clinicopathological parameters in colorectal cancer.Immunohistochemistry shows that in each stage of colorectal cancer, the positive rate of sox2 is higher than that of ki67, and the sensitivity of sox2 is relatively high.Moreover, the levels of ki67 and sox2 in the cancerous tissues are not related to gender, age, lymph node metastasis and distant metastasis ( p &gt; 0.05).

Journal: Journal of Healthcare Engineering (2023)
Publication types: Research Article;
Exploring Early Physical Examination Diagnostic Biomarkers for Alzheimer’s Disease Based on Least Absolute Shrinkage and Selection Operator

Neurodegenerative diseases such as alzheimer’s disease (ad) are an increasing public health challenge.There is an urgent need to shift the focus to accurate detection of clinical ad at the physical examination stage.The purpose of this study was to identify biomarkers for ad diagnosis.Differential expression analysis was performed on a dataset including prefrontal cortical samples and peripheral blood samples of ad to identify shared differentially expressed genes (degs) shared between the two datasets.In addition, a minimum absolute contraction and selection operator (lasso) model based on shared-degs identified nine signature genes (mt1x, igf1, dleu7, trim36, ptprc, wnk2, spg20, c8orf59, and brwd1) that accurately predict ad occurrence.Enrichment analysis showed that the signature gene was significantly associated with the ad-related p53 signaling pathway, t-cell receptor signaling pathway, hif-1 signaling pathway, ampk signaling pathway, and fox o signaling pathway.Thus, our results identify not only biomarkers for diagnosing ad but also potentially specific pathways.The ad biomarkers proposed in this study could serve as indicators for prevention and diagnosis during physical examination.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method

White blood cells (wbcs) are blood cells that fight infections and diseases as a part of the immune system.They are also known as “defender cells.” but the imbalance in the number of wbcs in the blood can be hazardous.Leukemia is the most common blood cancer caused by an overabundance of wbcs in the immune system.Acute lymphocytic leukemia (all) usually occurs when the bone marrow creates many immature wbcs that destroy healthy cells.People of all ages, including children and adolescents, can be affected by all.The rapid proliferation of atypical lymphocyte cells can cause a reduction in new blood cells and increase the chances of death in patients.Therefore, early and precise cancer detection can help with better therapy and a higher survival probability in the case of leukemia.However, diagnosing all is time-consuming and complicated, and manual analysis is expensive, with subjective and error-prone outcomes.Thus, detecting normal and malignant cells reliably and accurately is crucial.For this reason, automatic detection using computer-aided diagnostic models can help doctors effectively detect early leukemia.The entire approach may be automated using image processing techniques, reducing physicians’ workload and increasing diagnosis accuracy.The impact of deep learning (dl) on medical research has recently proven quite beneficial, offering new avenues and possibilities in the healthcare domain for diagnostic techniques.However, to make that happen soon in dl, the entire community must overcome the explainability limit.Because of the black box operation’s shortcomings in artificial intelligence (ai) models’ decisions, there is a lack of liability and trust in the outcomes.But explainable artificial intelligence (xai) can solve this problem by interpreting the predictions of ai systems.This study emphasizes leukemia, specifically all.The proposed strategy recognizes acute lymphoblastic leukemia as an automated procedure that applies different transfer learning models to classify all.Hence, using local interpretable model-agnostic explanations (lime) to assure validity and reliability, this method also explains the cause of a specific classification.The proposed method achieved 98.38% accuracy with the inception v3 model.Experimental results were found between different transfer learning methods, including res net101v2, vgg19, and inception res net v2, later verified with the lime algorithm for xai, where the proposed method performed the best.The obtained results and their reliability demonstrate that it can be preferred in identifying all, which will assist medical examiners.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Evidence Summary of Temperature Management for Comatose Patients after Cardiopulmonary Resuscitation in ICUs

This study aims to select and summarize the best evidence of temperature management for comatose patients after cardiopulmonary resuscitation in intensive care units (icus) at home and abroad.Method.Some well-known databases at home and abroad have been searched to find the guidelines, expert consensus, original documents, evidence summaries, and systematic evaluation about temperature management for comatose patients after cardiopulmonary resuscitation in icus.The databases included pub med, up to date, cochrane library, the website of registered nurses’ association of ontario, the guideline library of national institute for health and clinical excellence of the uk, china national knowledge infrastructure (cnki), wanfang database, and vip.The period for search is from the establishment of each database to the present.Two researchers who have received evidence-based nursing training and passed the examination evaluated, extracted, and integrated the literature quality with a blind method to summarize the best evidence.Results.A total of 10 pieces of literature were included in this study, including 4 in chinese and 6 in english.Specifically, there were 4 guidelines, 1 expert consensus, 2 evidence summaries, 1 systematic evaluation, 1 literature review, and 1 comparative experiment, accounting for 40.0%, 10.0%, 20.0%, 10.0%, 10.0%, and 10.0%, respectively.The literature and materials were all qualified, and there was no heterogeneity and no significant publication bias in the included literature.The best evidence involved mild hypothermia therapy, rewarming, prevention of mild hypothermia-related complications, and nutritional support, with a total of 21 pieces of evidence (including 11, 3, 5, and 2 pieces of evidence, respectively).In terms of the recommendation grade, 7 pieces of evidence were at grade a and 14 at grade b.Conclusion.Health care providers should implement hypothermia management in comatose patients after cardiopulmonary resuscitation in icus, pay attention to the prevention of related complications, and provide enteral nutrition support.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches

The word radiomics, like all domains of type omics, assumes the existence of a large amount of data.Using artificial intelligence, in particular, different machine learning techniques, is a necessary step for better data exploitation.Classically, researchers in this field of radiomics have used conventional machine learning techniques (random forest, for example).More recently, deep learning, a subdomain of machine learning, has emerged.Its applications are increasing, and the results obtained so far have demonstrated their remarkable effectiveness.Several previous studies have explored the potential applications of radiomics in colorectal cancer.These potential applications can be grouped into several categories like evaluation of the reproducibility of texture data, prediction of response to treatment, prediction of the occurrence of metastases, and prediction of survival.Few studies, however, have explored the potential of radiomics in predicting recurrence-free survival.In this study, we evaluated and compared six conventional learning models and a deep learning model, based on mri textural analysis of patients with locally advanced rectal tumours, correlated with the risk of recidivism; in traditional learning, we compared 2d image analysis models vs.3d image analysis models, models based on a textural analysis of the tumour versus models taking into account the peritumoural environment in addition to the tumour itself.In deep learning, we built a 16-layer convolutional neural network model, driven by a 2d mri image database comprising both the native images and the bounding box corresponding to each image.

Journal: Applied Bionics and Biomechanics (2021)
Publication types: Research Article;
Evaluation of Novel Tranexamic Acid/Montmorillonite Intercalation Composite, as a New Type of Hemostatic Material

Radiation enteritis—clinically manifested as diarrhea, intestinal bleeding, and so on—is frequently caused when the body is exposed to radiation or radiotherapy because the intestine is radiation‐sensitive as an abdominal organ.Therefore, strategies to modulate intestinal hemostasis had inspired an important research trend in the process of preventing and treating radiation enteritis.Based on the structural characteristics of montmorillonite (mmt) and the hemostatic drug tranexamic acid (txa) which was used clinically to treat enteritis, the tranexamic acid‐montmorillonite composite material (txa‐mmt) was prepared through intercalation composite technology.According to the analysis of ftir, xrd, tg‐dtg, sem, and xrf, the prepared txa‐mmt was verified that tranexamic acid could intercalate into layers of montmorillonite.To evaluate the biocompatibility, two experiments were conducted by in vitro hemolysis and in vitro cytotoxicity experiments and results showed that txa‐mmt exhibited good visible biocompatibility.Activated partial thromboplastin time, prothrombin time, and in vitro clotting time were adopted to determine the hemostatic effect of txa‐mmt.Compared with other groups, txa‐mmt revealed a significant decrease in clotting time variations, aptt, and pt.In addition, to investigate the preventive effect of txa‐mmt by the intervention of radiation enteritis mice, inflammatory factors il‐1 β , il‐6, and tnf‐ α and the content of endotoxin in the serum of mice were detected.It demonstrated that txa‐mmt reduced the levels of these factors.Besides, the expression and the pathological changes of the small intestine tissue of mice were relieved.Our findings suggests that txa‐mmt as a promising intercalation composite has a great potential for application in the field of intestinal hemostasis.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Evaluation of ABC Bleeding Score and SAMe-TT2R2 Score on the Risk of Bleeding after Anticoagulation in Patients with Nonvalvular Atrial Fibrillation Complicated with Coronary Heart Disease

To explore the predictive value of abc bleeding score and same‐tt2r2 score on the risk of bleeding in patients with nonvalvular atrial fibrillation (nvaf) complicated with coronary heart disease (chd) after anticoagulation.Methods .149 patients with nvaf complicated with chd were followed up in our hospital for one year.The bleeding events during the follow‐up period were observed, the abc bleeding score and same‐tt2r2 score were calculated, the predictive value of the two scoring methods for the main bleeding risk was analyzed by the roc curve, and the auc area under the roc curve of the two scoring methods was compared by the delong test.Results .There were 32 bleeding events during the follow‐up period.The auc of abc bleeding score and same‐tt2r2 score were 0.775 ( p &lt; 0.01) and 0.624 ( p &lt; 0.05), respectively.The delong test showed that the auc of abc bleeding score was significantly higher than that of same‐tt2r2 score ( d = 2.177, p &lt; 0.05).Conclusion .Both the abc bleeding score and same‐tt2r2 score can predict the risk of bleeding after anticoagulation in patients with nvaf and chd.The critical value of the same‐tt2r2 score for predicting bleeding events in patients with nvaf and chd may need to be increased to 4 or 5, and the prediction ability of abc bleeding score is significantly better than that of the same‐tt2r2 score.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Establishment of a Nomogram Model for Predicting Cardiovascular and Cerebrovascular Events in Diabetic Nephropathy Patients Receiving Maintenance Hemodialysis

The objective of this study is to explore the risk factors of cardiovascular and cerebrovascular events (cce) in patients with diabetic nephropathy (dn) receiving maintenance hemodialysis, and to establish a nomogram model on this basis.Method.144 patients with dn receiving maintenance hemodialysis from february 2020 to february 2021 were selected and followed up for 12 months.They were divided into the occurrence and nonoccurrence groups according to whether cce occurred.The multivariate logistic regression analysis was used to analyze the influencing factors of cce, and a predictive nomogram model was established.The receiver operating characteristic (roc) curve was drawn to evaluate the predictive effect of the nomogram model.The hosmer-lemeshow method was used to test the calibration degree.Results.Among the patients, 63 patients (43.75%) encountered cce.Multivariate logistic regression analysis showed that age &gt;60 years old, history of cce, dialysis age &gt;12 months, systolic blood pressure &gt;140 mm hg, blood phosphorus level &gt;1.5 mmol/l, triglyceride (tg) level &gt;2.30 mmol/l, adiponectin (adpn) level &lt;5 mg/l, high-sensitivity-c-reactive protein (hs-crp) level &gt;10 mg/l, hemoglobin (hb) level &lt;120 g/l, serum creatinine (scr) level &gt;720 μmol/l, and albumin (alb) level &lt;40 g/l were independent risk factors for cce.Based on the above independent risk factors, a nomogram model of cce was created.Roc curve analysis showed that the area under curve for predicting cce was 0.881 (95% ci: 0.833~0.919), indicating that the nomogram model had great predictive effect.The hosmer-lemeshow method showed that the calibration curve was in good agreement with the standard curve.Conclusion.Age, history of cce, dialysis age, systolic blood pressure and serum phosphorus, and tg, adpn, hs-crp, hb, scr, and alb levels are all influencing factors for the occurrence of cce in patients with dn receiving maintenance hemodialysis, and the nomogram model has a great predictive effect on cce.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;