syedzayyan/paper_mill_benchmark huggingface dataset:
Recommending Crowdfunding Project: A Graph Kernel-Based Link Prediction Method for Extremely Sparse Implicit Feedback

It is a critical task to provide recommendation on implicit feedback, and one of the biggest challenges is extreme data sparsity.To tackle the problem, a graph kernel-based link prediction method is proposed in this paper for recommending crowdfunding projects combining graph computing with collaborative filtering.First of all, an investor-project bipartite graph is established based on transaction histories.Then, a random walk graph kernel is constructed and computed, and a one-class svm classifier is built for link prediction based on implicit feedback.At last, top n recommendations are made according to the ranking of investor-project pairs.Comparative experiments are conducted and the results show that the proposed method achieves the best performance on extremely sparse implicit feedback and outperforms baselines.This paper is of help to improve the success rate of crowdfunding by personalized recommendation and is of significance to enrich the research in recommendation systems.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Prognostic Value of MUC16 Mutation and Its Correlation with Immunity in Hepatocellular Carcinoma Patients

Identifying gene mutation signatures will enable a better understanding for the occurrence, development, and prognosis of hepatocellular carcinoma (hcc) and provide some potential biomarkers for clinical practice.This study investigated the mutated genes in hcc patients and assessed their relationship with tumor mutation burden (tmb) and prognosis.Methods.The somatic mutation annotation format (maf) document, m rna expression matrix, and clinical information of hcc patients were obtained from the international cancer genome consortium (icgc) and the cancer genome atlas (tcga) database.The differences of tmb between the mutant type and the wild-type genes were detected using the mann–whitney u test.The link of gene mutations with prognosis was explored by the kaplan–meier analysis.The proportion of 22 immune cells’ composition was measured using cibersort algorithm.Results.The two databases screened 16 common mutated genes, which included tp53, ttn, lrp1b, zfhx4, muc16, obscn, csmd3, flg, csmd1, syne1, spta1, ush2a, kmt2c, pclo, hmcn1, and fat3.After a series of analysis, muc16 mutation was found to be highly correlated with tmb and was regarded as an independent factor predicting hcc.Furthermore, gene set enrichment analysis (gsea) indicated that the muc16 mutation was significantly involved in hcc cell metabolism.Conclusions.Muc16 mutation seems to be a valuable potential biomarker for hcc development and its overall survival.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Research Article;
Preliminary Study on Grading Diagnosis of Early Knee Osteoarthritis by Shear Wave Elastography

Knee osteoarthritis (koa) is the most common chronic bone joint disease.The who points out that koa has become the fourth most disabling disease in the world, and the main clinical treatment is prevention.At present, the clinical diagnosis of knee osteoarthritis with deformation is mainly made by x‐ray and two‐dimensional ultrasound, and the preventive treatment effect is not good.Shear wave elastography (swe) has been widely used in clinical practice for its advantages of noninvasive, simple, rapid, and high accuracy in soft tissue hardness.This study investigates the feasibility of using swe in the grading diagnosis of koa and the detection of early skeletal muscle injury.60 patients were enrolled with unilateral koa who met the inclusion criteria.Routine scanning and swe exploration were carried out and compared between the affected and healthy knee joints.The measurements included morphology, damage degree of cartilage, joint effusion, joint synovial thickness, the degree of meniscus convexity, and shear wave speed (sws) in the tendon attachment area of the quadriceps femoris superior patella, and tendon thickness and sws between and within groups.The affected was scored according to the ultrasonic characteristics.The correlation between them was analyzed to evaluate the feasibility of swe in grading the diagnosis of koa.57 cases had knee cavity effusion (57/60, 95.0%), 58 cases had knee cartilage injury (58/60, 96.6%), and 35 cases had a lateral process of the medial meniscus (35/60, 53.3%); 30 cases had synovial hyperplasia (30/60, 50%), 21 cases had osteophyte formation (21/60, 35%), and no one had a popliteal cyst.There was no significant difference in tendon thickness between and within groups ( p &gt; 0.05), but a significant difference in sws ( p &lt; 0.01); the sws of the quadriceps femoris tendon is negatively correlated with ultrasound score ( r = 0.955, p &lt; 0.01).There is a strong negative correlation between sws and the degree of koa.It can be used in the grading diagnosis of koa to help find more early strain points.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Prediction of Prognosis and Molecular Mechanism of Ferroptosis in Hepatocellular Carcinoma Based on Bioinformatics Methods

As an iron-dependent type of programmed cell death, ferroptosis plays an important role in the pathogenesis and progression of hepatocellular carcinoma (hcc).Long noncoding rnas (lnc rnas) have been linked to the prognosis of patients with hcc in a number of studies.Nevertheless, the predictive value of lnc rnas (frls) associated with ferroptosis in hcc has not been fully elucidated.Methods.Download rna sequencing data and clinical profiles of hcc patients from the cancer genome atlas (tcga) database.The frls associated with prognosis were determined by pearson’s correlation analysis.After that, prognostic signature for frls was established using cox and lasso regression analyses.Meanwhile, survival analysis, correlation analysis of clinicopathological features, cox regression, receiver operating characteristic (roc) curve, and nomogram were used to analyze the frl signature’s predictive capacity.The relationship between signature risk score, immune cell infiltration, and chemotherapy drug sensitivity is further studied.results.In total, 93 frls were found to be of prognostic value in patients with hcc.A five-frl signature comprising ac015908.3, linc01138, ac009283.1, z83851.1, and lucat1 was created in order to enhance the prognosis prediction with hcc patients.The signature demonstrated a good predictive potency, according to the kaplan-meier and roc curves.The five-frl signature was found to be a risk factor independent of various clinical factors using cox regression and stratified survival analysis.The high-risk group was shown to be enriched in tumorigenesis and immune-related pathways according to gsea analysis.Additionally, immune cell infiltration, immune checkpoint molecules, and half-inhibitory concentrations differed considerably between risk groups, implying that this signature could be used to evaluate the clinical efficacy of chemotherapy and immunotherapy.Conclusion.The five-frl risk signature is helpful for assessing the prognosis of hcc patients and improving therapy options, so it can be further applied clinically.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Performance of Sustainable Development and Technological Innovation Based on Green Manufacturing Technology of Artificial Intelligence and Block Chain

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution.Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate.The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems.Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology.This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two.All measurement items in the questionnaire used in this article use likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise.The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high.Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises.Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.

Journal: Mathematical Problems in Engineering (2021)
Publication types: Research Article;
Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

China is a country with frequent earthquake disasters.After the occurrence of earthquake disasters, the key to disaster monitoring and rescue is to quickly obtain images of postdisaster areas.Unmanned aerial vehicle (uav) path planning is the core of multi-uav cooperative control.With the increasing popularity of uavs, people with more complex living environments contact with uavs more frequently, which also poses a challenge to the overall control of uavs, making single uav and even multi-uav cooperative path planning become a hot research issue in recent years.The complexity of communication between aircraft in three-dimensional flight space and multidegree of freedom navigation makes multi-uav cooperation more challenging.According to the research results at home and abroad, this paper takes multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm as research methods.Based on virtual reality technology, by comparing the advantages and disadvantages of several algorithms, the research model of path optimization is established, and a multitarget detection method based on virtual reality technology is established.Through the analysis and improvement of multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm, the path optimization problem of uav after an earthquake based on virtual reality technology is studied.The results show that, compared with the previous research models, the overall optimization efficiency of uav route is improved by 15%, which is more practical.

Journal: Mathematical Problems in Engineering (2021)
Publication types: Research Article;
The In Vitro Antimicrobial and Antibiofilm Activities of Lysozyme against Gram-Positive Bacteria

To analyze the in vitro antibacterial and antibiofilm activities of lysozyme (lys) and its combination with various drugs against gram-positive bacteria (gpb, n = 9 ), thus to provide an exploration direction for drug development.Methods.The minimum inhibitory concentrations (mics) of linezolid (lzd), amikacin (amk), ceftriaxone/sulbactam (cro/sbt), cefotaxime/sulbactam (ctx/sbt), piperacillin/sulbactam (pip/sbt), doxycycline (dox), levofloxacin (lvx), amoxicillin/clavulanate potassium (7 : 1, ak71), imipenem (ipm), azithromycin (azm), and their combinations with lys were determined with tuber twice dilution.The antimicrobial and antibiofilm activities of lys, azm, lvx, and their combinations with others were evaluated through mtt and crystal violet assay.Results.High-dose lys (30 μg/m l) combined with pip/sbt and ak71, respectively, showed synergistic antibacterial activities against methicillin-resistant staphylococcus aureus (mrsa), while it showed no synergistic activities when combined with other drugs.Lys and azm inhibited the biofilm formation of one mrsa strain, but they and lvx had no similar activities against methicillin-resistant staphylococcus epidermidis (mrse) or vancomycin-resistant enterococcus faecium (vref).Particularly, lys increased the permeability of biofilms of mrsa 33 and exhibited antibiofilm activities against mrsa 31 ( inhibition rate = 38.1 % ) and mrse 61 ( inhibition rate = 46.6 % ).The combinations of pip/sbt+lys, amk+lys, and lzd+lys showed stronger antibiofilm activities against mrsa 62, mrse 62, mrse 63, and vref 11.Conclusion.The antimicrobial and antibiofilm activities of lys against mrsa were better than azm, while that of lys against mrse and vref, respectively, was similar with azm and lvx.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
The Fertility Status of the Married People Living with HIV/AIDS in China

In order to analyze the fertility status of the married people living with human immunodeficiency virus (hiv)/acquired immune deficiency syndrome (aids) (plha) of reproductive age in china, a sample of married plhas aged 22–45 in china is selected by using a stratified cluster sampling method.All participants are face‐to‐face interviewed with a structured questionnaire.Among them, the fertility status and its influencing factors of 366 plhas are statistically analyzed.Experimental results show that married plha of reproductive age in china has a high proportion of having children.The fertility status and fertility intention of females are higher than that of males.The proportion of unwanted pregnancies after the hiv + diagnosis of females is high.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
The Effects of Sequential Ventilation Therapy on Blood Gas Indexes, Pulmonary Function Indexes, Clinical Efficacy, and Safety in Patients with Severe Cor Pulmonale

As a heart disease caused by pulmonary arterial hypertension, pulmonary heart disease has a high incidence and poor clinical prognosis in the elderly.Including mechanical ventilation in the current clinical treatment of cor pulmonale, with the development of medical technology, traditional invasive mechanical ventilation has been pointed out to have certain clinical limitations, so new invasive and noninvasive sequential ventilation treatments are gradually being used.Applied in clinical practice, this article selected 96 patients with severe cor pulmonale in our hospital from january 2020 to may 2021 as the research object and conducted a randomized prospective study.The experimental results show that the two general methods can improve the blood gas index and pulmonary function index of patients with heart disease and pulmonary dysfunction, but the improvement of the above indexes by the sequence of action of gas therapy is better than that of conventional invasive mechanical ventilation.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
The Effectiveness Comparison of Different Acupuncture-Related Therapies on Knee Osteoarthritis: A Meta-Analysis

This meta-analysis aims to assess the efficacy of acupuncture-related therapy on knee osteoarthritis (koa) patients.Method.We searched pub med, embase, and cnki databases to screen eligible trials between 2017 and 2022.All trials that used acupuncture/moxibustion of koa patients were included.Study selection and data extraction were performed by 2 researchers independently.The statistics was performed by using r 4.1.1.Results.A total of 17 trials were included in our meta-analysis.Meta-analysis results showed the evidence of the relation of several common acupunture/moxibustion treatments by network meta-analysis.In the fixed effect model, acupuncture/moxibustion has superior therapy efficacy than sham treatment (mean difference = −0.34, 95% confidence interval = (−0.52,−0.16), p = 0.95 ).In fixed effect model, specific acupuncture/moxibustion has superior therapy efficacy than usual acupuncture/moxibustion (mean difference = –0.45, 95% confidence interval = (−0.62, −0.29), p &lt; 0.01 ).Conclusion.Acupuncture/moxibustion has superior therapy efficacy than sham treatment.Specific acupuncture/moxibustion has superior therapy efficacy than usual acupuncture/moxibustion.

Journal: Evidence-Based Complementary and Alternative Medicine (2022)
Publication types: Meta-Analysis;
The Clinical Value of Thyroid Hormone Levels and Correlation with Severity of Liver Cirrhosis

The aims of this study were to expound the effect of thyroid hormone on the occurrence of liver cirrhosis and the severity classification of liver cirrhosis with meta-analysis.Methods.A comprehensive search of pub med, embase, the cochrane library, web of science, google scholar, cnki, and wan fang data databases and reference lists of retrieved articles was performed since the inception of each database until september 2021.Two reviewers independently screened literature, extracted data, and assessed the risk of bias by rev man 5.3 software.In continuous variable analysis, the standardized mean difference (smd) and 95% confidence interval (95% ci) were calculated through a random-effect model.Results.Eighteen case-control studies involving 3336 subjects were included for review.The results of the meta-analysis showed free triiodothyronine (ft3) and free thyroxine (ft4) levels in the liver cirrhosis group were lower than the control group (smd = −1.29, 95% ci [−1.85, −0.74], p &lt; 0.001), (smd = −0.61, 95% ci [−0.96, −0.26], p &lt; 0.001), thyroid-stimulating hormone (tsh) levels in liver cirrhosis group were higher than the control group (smd = 0.34, 95%ci [0.06, 0.63], p &lt; 0.001) and that ft3 levels in child-pugh a vs b and child-pugh b vs c group were higher than the control group (smd = 1.08, 95%ci [0.80, 1.37], p = 0.008), (smd = 0.68, 95%ci [0.38, 0.98], p &lt; 0.001).Conclusions.Cirrhosis has decreased ft3 and ft4 levels and increased tsh levels.Ft3 levels correlate negatively with the child-pugh score, and it is a measure of the severity of liver cirrhosis dysfunction.Ft3 serum levels of thyroid hormones are a prognostic marker in liver cirrhosis.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Study on the Efficacy and Safety of Oral Care in ICU Patients Based on Meta-Analysis

The effectiveness and safety of oral care in intensive care unit (icu) patients by meta‐analysis are explored.According to the research direction of the effectiveness and safety of oral nursing in icu patients, the corresponding literature studies are retrieved in literature databases and meta‐analysis is performed.A total of 17 chinese and english literature studies are included, and the literature has no obvious publication bias.The experimental results show that the improvement effect of dry mouth and halitosis in the improved group is significantly higher than that in the traditional group, and the dry mouth score, plaque index, and complications such as oral mucosa infection, oral mucosa damage, and halitosis are significantly reduced in the improved group, and the differences are statistically significant ( p &lt; 0.05).Improved oral care can significantly improve the symptoms of dry mouth and halitosis in icu patients, quickly remove dental plaque and effectively reduce the incidence of complications such as halitosis, oral mucosal infection, and oral mucosal damage.Improved oral care is an effective and safe icu nursing program.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Meta-Analysis;
Study on Intelligently Designed Business Innovation Service Models Driven by Big Data

Although conventional business models have been increasingly affected in front of the big data technology application, it has also brought new opportunities and challenges for enterprise development.In order to create a higher value, enterprises should keep pace with the times and actively develop business innovation service models.The greatest value brought by data is to help enterprises find potential business value.It can provide a broader user market and channels, avoid homogeneous competition, and realize the integration of upstream and downstream value chains.In addition, it abandons the extensive development under the traditional model and allows enterprises to return to real value services, which is also an irresistible trend of business model transformation.This paper studies and analyzes business innovation service models.First, the business model as required is presented, and the management system and risk evaluation method are introduced.Then, the construction of the business service model is discussed, and the typical big data technologies are reviewed.Next, according to the evaluation theory of business model, the index system of business innovation service model is explored, which can examine the development of business model objectively and comprehensively.Last, the operations of the business model under the big data are analyzed.The research on the business model in this paper can be provided with universality and has a certain practical value for the development of business innovation service.

Journal: Mathematical Problems in Engineering (2022)
Publication types: Research Article;
Study on Huangqi Bazhen Decoction on Relieving Chemotherapy Intestinal Mucositis in Capecitabine Gavage Mice

In order to provide evidence for clinical application, the therapeutic effect and mechanism of huangqi bazhen decoction on chemotherapeutic intestinal mucositis induced by capecitabine in mice are investigated.In this paper, the mice are divided into different groups and given capecitabine intragastric administration or treatment drugs.Morphological features of intestinal injury, including villus height shortening, crypt destruction, and apoptosis, are reversed.The experimental results show that huangqi bazhen decoction can significantly reduce weight loss and diarrhea during capecitabine treatment.It is also found that gsh‐px and t‐sod can be improved while mda, il‐1 β , and tnf‐ α are reduced significantly.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;