syedzayyan/paper_mill_benchmark huggingface dataset:
Design and Implementation of Sports Industry Information Service Management System Based on Data Mining

With the continuous development of sports in china, the tentacles of the sports industry have extended to all walks of life in china.At the same time, with the development of information and network, the information exchange between enterprises and between enterprises and between enterprises and customers is also increasing.How to use the existing information technology to provide enterprises and customers with special information about the sports industry has become a focus of the author’s thinking.Combining the development of our city’s sports industry, based on b/s mode, with asp.net for the development of technology, designed specifically for sports enterprises and users to provide an information exchange platform, this paper studies the user-based collaborative filtering recommendation algorithm and its application in sports industry information service management system, to design and develop the corresponding sports industry information service management system.

Journal: Advances in Multimedia (2022)
Publication types: Research Article;
Design and Implementation of College Students’ Physical Fitness Test Management System Using IoT Smart Sensors

As science and technology continue to advance and life standards continue to improve, poor living and study habits are common among today’s college students, making their physical health deteriorate.At present, the physical fitness test management system of college students is not perfect.This paper studies the physical fitness test administration system for college students based on io t smart sensors.It first briefly introduces the design of the physical health test management system and then proposes the io t smart sensor network algorithm.With the rapid development of io t, wsn has also grown rapidly as an important technical form of the underlying perception layer of the io t.Then, this paper tests the data of the college students’ physical fitness test management system under the grey relational analysis, and finally, it conducts an experimental discussion on the realization and testing of the college students’ physical health management system.The experimental results of this paper showed that the college students’ physical fitness test management system through the internet of things smart sensor can quickly respond to the visits of multiple clients, with relatively high processing efficiency, and the efficiency is increased by 60%.The practical interface designed and implemented by this system has excellent practicality.The system interface uses a light blue background, which has good comfort in application, and the system has complete functions, which can meet the general requirements of university system health management.

Journal: Journal of Sensors (2022)
Publication types: Research Article;
Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA)

In the current information and technology era, business enterprises are focusing in performing the process effectively by reducing the waiting time in completing the work, reduce latency and deploy the resources effectively so as to service the patient, medical practitioners, societies, and other stakeholders in an efficient manner.Hence, several organisations are using the emerging technologies so as to obtain high performance and enhance competitive edge.The advancement in machine learning, deep learning, business analytics, etc.Enables the health care industry to identify the patterns based on the data collected and create a pivotal position and enhance revenues and profits in a sustainable manner.Machine learning models are considered as computational algorithms which will enable in collected the data, analyze them, and provide the necessary reports to the experts and management in order to make informed decision making.The application of advanced machine learning enables the organisation to process the image effectively, recognize the voice and enable in servicing the customers, process the available data, and identify the patterns so as to make informed decision making.The basic purpose of the study is to analyze the overall implementation of advanced machine learning approaches towards health care services for providing enhanced services, better patient engagement, and support in creating better life for them, the researchers intend to collect the closed-ended questionnaire from employees in different medical centers covering: apprehend the nature of designing and implementation of machine learning approaches in the organisation and understand the effectiveness of these tools in enhancing the sustainable growth and development of the organisation.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
CuO-TiO2-Chitosan-Berbamine Nanocomposites Induce Apoptosis through the Mitochondrial Pathway with the Expression of P53, BAX, and BCL-2 in the Human K562 Cancer Cell Line

In this study, cells from human chronic myelogenous leukemia (k562) were cultivated with cu o‐ti o 2 ‐chitosan‐berbamine nanocomposites.We examined nanocomposites using xrd, dls, fesem, tem, pl, edax, and ftir spectroscopy, as well as mtt for cytotoxicity, and ao/et br for apoptotic morphology assessment.The rate of apoptosis and cell cycle arrests was determined using flow cytometry.Flow cytometry was also employed to identify pro‐ and antiapoptotic proteins such as bcl2, bad, bax, p53, and cyt c.The ftir spectrum revealed that the cu o‐ti o 2 ‐chitosan‐berbamine nanocomposites were electrostatically interlocked.The nanocomposites’ xrd signals revealed a hexagonal shape.In the dls spectrum, nanocomposites were found to have a hydrodynamic diameter.As a result of their cytotoxic action, nanocomposites displayed concentration‐dependent cytotoxicity.The nanocomposites, like doxorubicin, caused cell cycle phase arrest in k562 cells.After treatment with ic 50 concentrations of cu o‐ti o 2 ‐chitosan‐berbamine nanocomposites and doxorubicin, a substantial percentage of cells were in g2/m stage arrest.Caspase‐3, ‐7, ‐8, ‐9, bax, bad, cyt c, and p53 expression were considerably enhanced in k562 cells, whereas bcl2 expression was decreased, indicating that these cells may have therapeutic potential against human blood cancer/leukemia‐derived disorders.As a result, the nanocomposites demonstrated outstanding anticancer potential against leukemic cells.Cu o‐ti o 2 ‐chitosan‐berbamine, according to our findings.

Journal: Bioinorganic Chemistry and Applications (2022)
Publication types: Research Article;
Deep Learning-Based Leaf Region Segmentation Using High-Resolution Super HAD CCD and ISOCELL GW1 Sensors

Super had ccd and isocell gw1 imaging sensors are used for capturing images in high‐resolution cameras nowadays.These high‐resolution camera sensors were used in this work to acquire black gram plant leaf diseased images in natural cultivation fields.Segmenting plant leaf regions from the black gram cultivation field images is a preliminary step for disease identification and classification.It is also helpful for the farmers to assess the plants’ health and identify the diseases in their early stages.Even though plant leaf region segmentation has been effectively handled in many contributions, no universally applicable solution exists to solve all issues.Therefore, an approach for extracting leaf region from black gram plant leaf images is presented in this article.The novelty of the proposed method is that mobile net v2 has been utilized as a backbone network for deep labv3+ layers to segment plant leaf regions.The deep labv3+ with mobile net v2 segmentation model exhibited superior performance compared to the other models (seg net, u‐net, deep labv3+ with res net18, res net50, xception, and inception res net v2) in terms of accuracy of 99.71%, dice of 98.72%, and jaccard/io u of 97.47% when data augmentation was applied.The algorithms were developed and trained using matlab software.Each of the experimental trials reported in this article surpasses the prior findings.

Journal: Journal of Sensors (2023)
Publication types: Research Article;
Deep Learning Model for the Automatic Classification of White Blood Cells

Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment.To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is utilized.These blood cell images are subjected to various data analyzing techniques that count and classify the different types of blood cells.Nowadays, deep learning-based methods are in practice to analyze the data.These methods are less time-consuming and require less sophisticated equipment.This paper implements a deep learning (d.l) model that uses the dense net121 model to classify the different types of white blood cells (wbc).The dense net121 model is optimized with the preprocessing techniques of normalization and data augmentation.This model yielded an accuracy of 98.84%, a precision of 99.33%, a sensitivity of 98.85%, and a specificity of 99.61%.The proposed model is simulated with four batch sizes (bs) along with the adam optimizer and 10 epochs.It is concluded from the results that the dense net121 model has outperformed with batch size 8 as compared to other batch sizes.The dataset has been taken from the kaggle having 12,444 images with the images of 3120 eosinophils, 3103 lymphocytes, 3098 monocytes, and 3123 neutrophils.With such results, these models could be utilized for developing clinically useful solutions that are able to detect wbc in blood cell images.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Curcumin Improved Intestinal Epithelial Barrier Integrity by Up-Regulating ZO-1/Occludin/Claudin-1 in Septic Rats

To investigate the protective effect and mechanism of curcumin on intestinal barrier function in rats with enterogenic sepsis.Methods.Rats were divided into sham group (sham), model group (model), low-dose curcumin group (100 mg/kg), and high-dose curcumin group (200 mg/kg), with 10 rats in each group.Sepsis model was established in model group, low-dose curcumin group, and high-dose curcumin group.After drug intervention, hematoxylin-eosin (he) staining was used to observe the histopathological changes of small intestine in each group.The levels of tnf-α, il-1β, and il-6 in serum and intestinal tissues of rats were determined by elisa.The expression of zo-1, occludin, and claudin-1 in ileum was detected by qrt-pcr and western blot.Western blotting was used to detect the expression of erk/jnk signaling pathway, nf-κb p65, apoptosis-related proteins caspase-3, and tnf-α in rat intestinal tissues.Results.He staining showed that curcumin treatment reduced epithelial cell shedding, interstitial edema, and apoptosis.Compared with model group, dao activity, serum intestinal fatty acid binding protein (i-fabp), tnf-α, il-6, and il-1β expression in curcumin group were decreased in a dose-dependent manner.Curcumin can upregulate the m rna and protein expression levels of zo-1, occludin, and claudin-1 in ileum of clp-induced rats.In addition, curcumin inhibits nf-κb p65 activation and apoptosis by regulating erk/jnk signaling pathway.Conclusion.Curcumin can reduce inflammatory response and upregulate the expression of intestinal tight junction proteins zo-1, occludin, and claudin-1 in rats with enterogenic sepsis, and protect intestinal barrier function.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Correlation of Serum M-CSF, CER, and TIMP-1 Levels with Liver Fibrosis in Viral Hepatitis

This research is aimed at investigating the relationship between liver fibrosis in viral hepatitis and macrophage colony-stimulating factor (m-csf), tissue inhibitor of matrix metalloproteinase (timp-1), and ceruloplasmin (cer) in serum level.Methods.Patients were randomly selected among those admitted to our hospital, and 60 healthy volunteers were chosen to serve as control participants.The levels of serum m-csf, cer, and timp-1 were compared.According to the severity of their liver fibrosis, patients with chb were separated into four groups: s1, s2, s3, and s4.Serum levels of m-csf, cer, and timp-1 were correlated with liver fibrosis and hepatitis markers, and the diagnostic usefulness of the three indices was assessed with liver cirrhosis patients.Results.Increases in m-csf and timp-1 in the chb group but decreases in cer were statistically significant ( p &lt; 0.05 ).Serum levels of m-csf, cer, timp-1, ha, pc-iii, c-iv, and ln differed significantly across the four study groups ( p &lt; 0.05 ).Over time, as liver fibrosis worsened, we observed a progressive uptick in m-csf, timp-1, ln, ha, c-iv, and pc-iii levels and a progressive downtick in cer levels, with significant ( p &lt; 0.05 ) differences between the groups.There was a significant positive correlation between liver fibrosis and serum m-csf, pc-iii, timp-1, ha, ln, and c-iv levels in the chb group ( p &lt; 0.05 ) and a significant negative correlation between serum cer and these same factors ( p &lt; 0.05 ).The auc of 0.956 for diagnosing the s4 stage was greater than that of 0.857, 0.851, and 0.817 for m-csf, cer, and timp-1, respectively.Conclusions.In chb patients, the liver fibrosis degree is associated with the m-csf, cer, and timp-1 levels, and the combined clinical detection of these three markers has better diagnostic significance.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Correlation of Serum IL-17, VEGF, and Lactate Dehydrogenase (LDH) Levels with Prognosis of Gastric Cancer

To investigate the correlation of serum interleukin-17 (il-17), vascular endothelial growth factor (vegf) and lactate dehydrogenase (ldh) levels with the prognosis of gastric cancer patients.Methods.From december 2018 to december 2020, 45 patients with gastric cancer treated in our hospital and 50 healthy individuals were assessed for eligibility and recruited.The eligible patients were assigned to an observation group, and the healthy subjects were assigned to a control group.Serum il-17, ldh, and vegf levels of the eligible participants were determined by the enzyme-linked immunosorbent assay (elisa) and biochemical testing.The association of serum il-7, ldh, and vegf levels with their pathological characteristics was examined in the observation group.The correlation between serum il-17 and vegf was analyzed using the pearson method, and regression models were established using cox proportional risk to explore the independent risk factors for gastric cancer.Results.Gastric cancer was associated with higher levels of il-17, ldh, and vegf versus a healthy status ( p &lt; 0.05 ).There was no significant difference in serum il-17, ldh, and vegf levels between the two groups of patients with different clinical characteristics ( p &gt; 0.05 ).Higher tumor tnm stages resulted in significantly higher levels of il-17, ldh, and vegf ( p &lt; 0.05 ).Serum il-17 level was positively correlated with vegf level ( p &lt; 0.05 ).Cox regression multifactorial analysis showed that serum il-17, ldh, vegf, and tumor tnm stages could be independent high-risk influencing factors for gastric cancer ( p &lt; 0.05 ).Serum il-17 was positively correlated with vegf levels in patients with gastric cancer.Conclusion.Serum il-17, ldh, and vegf levels in gastric cancer patients are closely correlated with the tnm stage and patients’ prognosis, both of which show great potential as effective indicators for evaluating the prognosis of gastric cancer.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Correlation of Serum IGF-1R, VEGF, and ET Levels with Bone Mineral Density in Type 2 Diabetic Mellitus Patients Treated with Metformin Plus α-Glucosidase Inhibitors

Diabetes mellitus is a common chronic disease.This study aimed to investigate the correlation between serum insulin-like growth factor 1 receptor (igf-1r), vascular endothelial growth factor (vegf), endothelin (et) levels, and bone mineral density (bmd) in type 2 diabetic mellitus (t2dm) patients treated with metformin plus α-glucosidase inhibitors and evaluate the predictive value of serum factors in the prognosis of osteoporosis in these patients.It was a prospective study that enrolled 142 patients with t2dm treated in dinghu district people’s hospital from march 2019 to may 2020.All enrollments were randomized (1 : 1) to receive either metformin (control group) or metformin plus α-glucosidase inhibitors (study group).After 12 weeks of treatment, metformin plus α-glucosidase inhibitors were associated with significantly lower levels of 2 h pg, fpg, hb a1c, and homa-ir versus metformin alone ( p &lt; 0.05 ).After treatment, the bmd was positively correlated with igf-1r and negatively correlated with vegf and et.Alpha-glucosidase inhibitors plus metformin for primary t2dm can effectively manage blood glucose and reduce insulin resistance in patients, but the prediction of osteoporosis development remains to be further explored in large sample studies.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Correlation between Platelet miRNA Expression and Coagulation Function in Children with Severe Pneumonia

To investigate the relationship between expression levels of platelet mi rnas and severe pneumonia (sp) in children.Methods.A randomized controlled trial was conducted in 129 children with sp hospitalized from may 2018 to may 2020.All children joined the study group and were divided into the mild infection group, moderate infection group, and severe infection group according to the diagnostic criteria, 43 cases in each group.Besides, 129 healthy children were selected as the control group.The expression levels of platelet mi r-223 and mi r-192 were detected by real-time quantitative polymerase chain reaction (q pcr).The prothrombin time (pt), activated partial thromboplastin time (aptt), and fibrinogen (fib) were detected by the sysmex ca-1500 system (sysmex corporation, japan).The pearson analysis was conducted to evaluate the correlation between coagulation function and the levels of mi r-223 and mi r-192.Results.Compared with the control group, mi r-223 in the study group was significantly higher and mi r-192 was significantly lower ( p &lt; 0.05 ).Compared with the mild infection group, mi r-223 was significantly higher and mi r-192 was significantly lower in the moderate infection group and severe infection group ( p &lt; 0.05 ).Compared with the control group, pt and aptt were significantly lower and fib was significantly higher in the study group ( p &lt; 0.05 ).Pearson correlation analysis revealed that mi r-223 was positively correlated with pt and aptt ( p &lt; 0.05 ) and negatively correlated with fib ( p &lt; 0.05 ); mi r-192 was negatively correlated with pt and aptt ( p &lt; 0.05 ) and positively correlated with fib ( p &lt; 0.05 ).Conclusion.Mi r-223 and mi r-192 can reflect coagulation function in children with sp, which can provide a certain reference basis for clinical guidance and treatment and prognosis.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Correlation between Drug Resistance of Klebsiella Pneumonia and Antimicrobial Drug Usage

To assess the correlation between the drug resistance of klebsiella pneumoniae and antimicrobial drug usage.Methods.The drug resistance rate of klebsiella pneumoniae and the antimicrobial drug dosage of inpatients admitted to the second affiliated hospital of wannan medical college from january 2016 to december 2020 were retrospectively recorded, and their correlation was analyzed using the pearson method.Results.There are 6493 strains of gram-negative bacteria, including 1272 strains of klebsiella pneumoniae, ranking first in respiratory medicine.Klebsiella pneumoniae showed an overall increasing trend in resistance to piperacillin/tazobactam and ampicillin/sulbactam and a high resistance to aztreonam, ceftazidime, and ciprofloxacin (all p &lt; 0.05 ).The top 3 antimicrobial drugs used in 2016–2020 were β-lactams, quinolones, and macrolides.The rates of resistance to piperacillin/tazobactam, cefoperazone/sulbactam, and ampicillin/sulbactam were highly positively correlated with the use of β-lactams.The use of carbapenems and glycopeptides was negatively correlated with the resistance to ciprofloxacin, and the resistance to ceftazidime had a high positive correlation with the use of glycopeptides and carbapenems.Conclusion.The use of antimicrobial drugs is correlated with the resistance rate of klebsiella pneumoniae.To reduce bacterial drug resistance, the rational use of antimicrobial drugs requires joint control through multiple departments to improve the clinical use of antimicrobial drugs and improve in-hospital control.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Correlation and Diagnostic Value of Serum Cys-C, RBP4, and NGAL with the Condition of Patients with Traumatic Acute Kidney Injury

There is a lack of targeted biomarkers that can diagnose acute kidney injury (aki) early and accurately, which leads to deterioration of renal function and even death in patients who do not receive timely and effective treatment.In recent years, an increasing number of studies have shown that aki-related markers such as cystatin c (cys-c) and retinol-binding protein (rbp) can be used for early diagnosis of aki to a certain extent.A total of 262 subjects were included in this study, of which 132 patients with traumatic aki were enrolled in one group and named as the aki group; 130 healthy subjects were enrolled in another group and named as the healthy group.Aki patients with different conditions were classified into aki phase i, ii, and iii according to the kdigo aki diagnostic criteria, with 45, 59, and 28 in each group.In this study, we examined and compared serum cys-c, rbp4, and neutrophil gelatinase-associated lipid transport protein (ngal) levels between the aki and healthy groups and between patients with aki of different conditions, and the correlation and diagnostic value of three serum markers with the condition of traumatic aki patients were also analyzed.The results showed that serum cys-c, rbp4, and ngal were significantly higher in the aki group compared with the healthy group ( p &lt; 0.05 ), and the mean concentrations of the three serum markers increased as the severity of the disease increased, while correlation analysis showed that all three serum markers were positively correlated with serum scr levels ( p &lt; 0.001 ).Further roc curve analysis was performed, and the diagnostic values of serum cys c, rbp4, and ngal alone and in combination for traumatic aki were 0.769, 0.741, 0.771, and 0.905, respectively.In short, serum cys c, rbp4, ngal have important value for the assessment and diagnosis of traumatic aki patients.

Journal: Evidence-Based Complementary and Alternative Medicine (2021)
Publication types: Research Article;