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Exploiting Structural Similarities to Classify Citations

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Computers, Materials & Continua 2021年第2期66卷 1195-1214页

作者： muhammad Saboor Ahmed muhammad tanvir afzal Capital University of Science and Technology IslamabadPakistan

Citations play an important role in the scientific community by assisting in measuring multifarious policies like the impact of journals,researchers,institutions,and *** cite papers for different reasons,such as extending previous work,comparing their study with the state-of-the-art,providing background of the field,*** recent years,researchers have tried to conceptualize all citations into two broad categories,important and *** a categorization is very important to enhance scientific output in multiple ways,for instance,(1)Helping a researcher in identifying meaningful citations from a list of 100 to 1000 citations(2)Enhancing the impact factor calculation mechanism by more strongly weighting important citations,and(3)Improving researcher,institutional,and university rankings by only considering important *** of these uses depend upon correctly identifying the important citations from the list of all citations in a *** date,researchers have utilized many features to classify citations into these broad categories:cue phrases,in-text citation counts,and metadata features,***,contemporary approaches are based on identification of in-text citation counts,mapping sections onto the Introduction,Methods,Results,and Discussion(IMRAD)structure,identifying cue phrases,*** such features accurately is a challenging task and is normally conducted manually,with the accuracy of citation classification demonstrated in terms of these manually extracted *** research proposes to examine the content of the cited and citing pair to identify important citing papers for each cited *** content similarity approach was adopted from research paper recommendation ***,a novel section-based content similarity approach is also *** results show that solely using the abstract of the cited and citing papers can achieve similar accuracy as the stateof-the-art *** makes the propose

关键词： Section-wise similarity citation classification content similarity important citation

Extension of Direct Citation Model Using In-Text Citations

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Computers, Materials & Continua 2021年第3期66卷 3121-3138页

作者： Abdul Shahid muhammad tanvir afzal muhammad Qaiser Saleem M.S.Elsayed Idrees Majzoob K.Omer Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan College of Computer Science and Information Technology Albaha UniversityAl BahaSaudi Arabia

Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models:(1)Bibliographic Coupling,(2)Co-Citation,and(3)Direct *** of new scholarly articles are published every *** flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at *** this study,we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-ofrelevancy among scientific *** this purpose,the relationship between citing and cited articles is categorized into three categories:weak,medium,and *** an experiment,around 5,000 research papers were crawled from the *** research papers were parsed for the identification of in-text citation ***,0.1 million references of those articles were extracted,and their in-text citation frequencies were computed.A comprehensive benchmark dataset was established based on the user ***,the results were validated with the help of Least Square Approximation by Quadratic Polynomial *** was found that degreeof-relevancy between scientific papers is a quadratic increasing/decreasing polynomial with respect to-increase/decrease in the in-text citation frequencies of a cited ***,the results of the proposed model were compared with state-of-the-art techniques by utilizing a well-known measure,known as the normalized Discount Cumulative Gain(nDCG).The proposed method received an nDCG score of 0.89,whereas the state-of-the-art models such as the Content,Bibliographic-coupling,and Metadata-based Models were able to acquire the nDCG values of 0.65,0.54,and 0.51 *** results indicate that the proposed mechanism may be applied in future information retrieval systems for better results.

关键词： Direct citation model in-text citations frequencies normalized discount cumulative gain least square approximation

SwCS: Section-Wise Content Similarity Approach to Exploit Scientific Big Data

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Computers, Materials & Continua 2021年第4期67卷 877-894页

作者： Kashif Irshad muhammad tanvir afzal Sanam Shahla Rizvi Abdul Shahid Rabia Riaz Tae-Sun Chung Department of Computer Science Capital University of Science and TechnologyIslamabadPakistan Department of Computer Science NAMAL InstituteMianwali42250Pakistan Raptor Interactive(Pty)Ltd. Eco BoulevardWitch Hazel AveCenturion0157South Africa Institute of Computing Kohat University of Science and TechnologyPakistan Department of CS&IT University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Artificial Intelligence Ajou UniversityKorea

The growing collection of scientific data in various web repositories is referred to as Scientific Big Data,as it fulfills the four“V’s”of Big Data—volume,variety,velocity,and *** phenomenon has created new opportunities for startups;for instance,the extraction of pertinent research papers from enormous knowledge repositories using certain innovative methods has become an important task for researchers and ***,the content of the papers are compared to list the relevant papers from a *** conventional method results in a long list of papers that is often impossible to interpret ***,the need for a novel approach that intelligently utilizes the available data is ***,the primary element of the scientific knowledge base is a research article,which consists of various logical sections such as the Abstract,Introduction,Related Work,Methodology,Results,and ***,this study utilizes these logical sections of research articles,because they hold significant potential in finding relevant *** this study,comprehensive experiments were performed to determine the role of the logical sections-based terms indexing method in improving the quality of results(i.e.,retrieving relevant papers).Therefore,we proposed,implemented,and evaluated the logical sections-based content comparisons method to address the research objective with a standard method of indexing *** section-based approach outperformed the standard content-based approach in identifying relevant documents from all classified topics of computer ***,the proposed approach extracted 14%more relevant results from the entire *** the experimental results suggested that employing a finer content similarity technique improved the quality of results,the proposed approach has led the foundation of knowledge-based startups.

关键词： Scientific big data ACM classification term indexing content similarity cosine similarity

Cold plasma-induced effects on electromagnetic wave scattering in waveguides:a mode-matching analysis

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Communications in Theoretical Physics 2024年第3期76卷 144-156页

作者： Shahana Rizvi muhammad afzal Department of Mathematics Capital University of Science and TechnologyIslamabadPakistan

This article presents advancements in an analytical mode-matching technique for studying electromagnetic wave propagation in a parallel-plate metallic rectangular *** technique involves projecting the solution onto basis functions and solving linear algebraic systems to determine scattering *** accuracy of this method is validated via numerical assessments,which involve the reconstruction of matching conditions and conservation *** study highlights the impact of geometric and material variations on reflection and transmission phenomena in the waveguide.

关键词： electromagnetic waves scattering cold plasma metallic conducting mode-matching technique

Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning

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World Journal of Gastrointestinal Surgery 2024年第4期16卷 1097-1108页

作者： Hassam Ali Faisal Inayat Vishali Moond Ahtshamullah Chaudhry Arslan afzal Zauraiz Anjum Hamza Tahir muhammad Sajeel Anwar Dushyant Singh Dahiya muhammad Sohaib afzal Gul Nawaz Amir H Sohail muhammad Aziz Department of Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine Saint Peter's University Hospital and Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Internal Medicine Rochester General HospitalRochesterNY 14621United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnsonNY 13790United States Division of Gastroenterology Hepatology and MotilityThe University of Kansas School of MedicineKansasKS 66160United States Department of Internal Medicine Louisiana State University HealthShreveportLA 71103United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Department of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Roux-en-Y gastric bypass(RYGB)is a widely recognized bariatric procedure that is particularly beneficial for patients with class III *** aids in significant weight loss and improves obesity-related medical *** its effectiveness,postoperative care still has *** evidence shows that venous thromboembolism(VTE)is a leading cause of 30-d morbidity and mortality after ***,a clear unmet need exists for a tailored risk assessment tool for VTE in RYGB *** To develop and internally validate a scoring system determining the individualized risk of 30-d VTE in patients undergoing *** Using the 2016–2021 Metabolic and Bariatric Surgery Accreditation Quality Improvement Program,data from 6526 patients(body mass index≥40 kg/m^(2))who underwent RYGB were analyzed.A backward elimination multivariate analysis identified predictors of VTE characterized by pulmonary embolism and/or deep venous thrombosis within 30 d of *** resultant risk scores were derived from the coefficients of statistically significant *** performance of the model was evaluated using receiver operating curves through 5-fold *** Of the 26 initial variables,six predictors were *** included a history of chronic obstructive pulmonary disease with a regression coefficient(Coef)of 2.54(P7%(Coef 1.19,P<0.001),venous stasis history(Coef 1.43,P<0.001),and preoperative anticoagulation use(Coef 1.24,P<0.001).These variables were weighted according to their regression coefficients in an algorithm that was generated for the model predicting 30-d VTE risk *** risk model's area under the curve(AUC)was 0.79[95%confidence interval(CI):0.63-0.81],showing good discriminatory power,achieving a sensitivity of 0.60 and a specificity of *** training,the same model performed satisfactorily

关键词： Roux-en-Y gastric bypass Venous thromboembolism Machine learning Bariatric surgery Predictive modeling

A Multifunctional Chiral Metasurface with Asymmetric Transmission and Linear-Polarization Conversion

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Transactions of Nanjing University of Aeronautics and Astronautics 2024年第S1期41卷 21-26页

作者： afzal Ahmed CAO Qunsheng muhammad Sajjad College of Electronics and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China

In this paper,a multifunctional chiral metasurface is presented to achieve asymmetric transmission(AT)and linear-polarization conversion(LPC).The designed metasurface consists of a cross swords-like shape and two holes in the lower side of the unit *** the frequency band from 8.3 GHz to 10.4 GHz,AT is realized with more than 90%efficiency and the same chiral metasurface transforms linear polarized wave into its orthogonal counterpart with high *** LPC,the polarization conversion ratio(PCR)is greater than 95%.The proposed metasurface is stable against the incident angles of striking electromagnetic(EM)waves up to 60°for both operations of AT and LPC.

关键词： chiral metasurface polarization conversion asymmetric tranmission plasmon resonances

Unraveling the complex landscape of endocrine resistance in breast cancer: Emerging role of long noncoding RNA AGPG and beyond

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中华医学杂志(英文版) 2024年第16期137卷 2024 Jul 19页

作者： Khawar muhammad Babar Yu Shiyi afzal Ali Sun Haibo Institute of Translational Medicine Medical College Yangzhou University Yangzhou Jiangsu China Jiangsu Key Laboratory of Experimental & Translational Non-Coding RNA Research Yangzhou University Yangzhou Jiangsu China Applied Molecular Biology and Biomedicine Lab Department of Zoology University of Narowal Narowal Pakistan Molecular Medicine and Cancer Therapeutics Lab Department of Zoology Faculty of Sciences Technology University of Central Punjab Lahore Pakistan

Impact of COVID-19 on liver transplant recipients: A nationwide cohort study evaluating hospitalization, transplant rejection, and inpatient mortality

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World Journal of Transplantation 2024年第2期14卷 62-75页

作者： Faisal Inayat Pratik Patel Hassam Ali Arslan afzal Hamza Tahir Ahtshamullah Chaudhry Rizwan Ishtiaq Attiq Ur Rehman Kishan Darji muhammad Sohaib afzal Gul Nawaz Alexa Giammarino Sanjaya K Satapathy Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Division of Gastroenterology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Internal Medicine Saint Francis Hospital and Medical CenterHartfordCT 06105United States Division of Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine Campbell University and Cape Fear Valley Medical CenterFayettevilleNC 28301United States Department of Internal Medicine North Shore University Hospital and Zucker School of Medicine at Hofstra UniversityManhassetNY 11030United States Division of Hepatology North Shore University Hospital and Zucker School of Medicine at Hofstra UniversityManhassetNY 11030United States

BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has posed a major public health concern *** with comorbid conditions are at risk of adverse outcomes following *** organ transplant recipients with concurrent immunosuppression and comorbidities are more susceptible to a severe COVID-19 *** could lead to higher rates of inpatient complications and mortality in this patient ***,studies on COVID-19 outcomes in liver transplant(LT)recipients have yielded inconsistent *** To evaluate the impact of the COVID-19 pandemic on hospital-related outcomes among LT recipients in the United *** We conducted a retrospective cohort study using the 2019–2020 National Inpatient Sample *** with primary LT hospitalizations and a secondary COVID-19 diagnosis were identified using the International Classi-fication of Diseases,Tenth Revision coding *** primary outcomes included trends in LT hospitalizations before and during the COVID-19 *** outcomes included comparative trends in inpatient mortality and transplant rejection in LT *** A total of 15720 hospitalized LT recipients were *** 0.8% of patients had a secondary diagnosis of COVID-19 *** both cohorts,the median admission age was 57 *** linear trends for LT hospitalizations did not differ significantly before and during the pandemic(P=0.84).The frequency of in-hospital mortality for LT recipients increased from 1.7% to 4.4% between January 2019 and December *** to the pre-pandemic period,a higher association was noted between LT recipients and in-hospital mortality during the pandemic,with an odds ratio(OR)of 1.69[95% confidence interval(CI):1.55-1.84),P<0.001].The frequency of transplant rejections among hospitalized LT recipients increased from 0.2%to 3.6% between January 2019 and December *** hospitalizations during the COVID-19 pandemic had a higher associ

关键词： Liver transplant recipients Solid organ transplantation COVID-19 Hospitalization Transplant rejection Mortality

Association between acute peripancreatic fluid collections and early readmission in acute pancreatitis:A propensity-matched analysis

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World Journal of Experimental Medicine 2024年第2期14卷 75-88页

作者： Hassam Ali Faisal Inayat Waqas Rasheed Arslan afzal Ahtshamullah Chaudhry Pratik Patel Attiq Ur Rehman muhammad Sajeel Anwar Gul Nawaz muhammad Sohaib afzal Amir H Sohail Subanandhini Subramanium Dushyant Singh Dahiya Deepa Budh Babu P Mohan Douglas G Adler Department of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine Texas Tech University Health Sciences CenterLubbockTX 79430United States Department of Internal Medicine St.Dominic’s HospitalJacksonMS 39216United States Department of Gastroenterology Mather Hospital and Hofstra University Zucker School of MedicinePort JeffersonNY 11777United States Department of Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine UHS Wilson Medical CenterJohnson CityNY 13790United States Department of Internal Medicine Louisiana State University HealthShreveportLA 71103United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Division of Gastroenterology Hepatologyand MotilityThe University of Kansas School of MedicineKansas CityKS 64108United States Department of Internal Medicine St.Barnabas Hospital and Albert Einstein College of MedicineBronxNY 10457United States Department of Gastroenterology and Hepatology University of Utah School of MedicineSalt Lake CityUT 84132United States Center for Advanced Therapeutic Endoscopy Porter Adventist HospitalCentura HealthDenverCO 80210United States

BACKGROUND Patients with acute pancreatitis(AP)frequently experience hospital readmissions,posing a significant burden to healthcare *** peripancreatic fluid collection(APFC)may negatively impact the clinical course of *** could worsen symptoms and potentially lead to additional ***,clinical evidence regarding the specific association between APFC and early readmission in AP remains *** the link between APFC and readmission may help improve clinical care for AP patients and reduce healthcare *** To evaluate the association between APFC and 30-day readmission in patients with *** This retrospective cohort study is based on the Nationwide Readmission Database for *** with a primary diagnosis of AP were *** were categorized into those with and without APFC.A 1:1 propensity score matching for age,gender,and Elixhauser comorbidities was *** primary outcome was early readmission *** outcomes included the incidence of inpatient complications and healthcare *** analyses used Mann-Whitney U andχ2 tests,while Cox regression models assessed 30-day readmission risks and reported them as adjusted hazard ratios(aHR).Kaplan-Meier curves and log-rank tests verified readmission *** A total of 673059 patients with the principal diagnosis of AP were *** these,5.1%had APFC on initial *** propensity score matching,each cohort consisted of 33914 *** with APFC showed a higher incidence of inpatient complications,including septic shock(3.1%vs 1.3%,P<0.001),portal venous thrombosis(4.4%vs 0.8%,P<0.001),and mechanical ventilation(1.8%vs 0.9%,P<0.001).The length of stay(LOS)was longer for APFC patients[4(3-7)vs 3(2-5)days,P<0.001],as were hospital charges($29451 vs$24418,P<0.001).For 30-day readmissions,APFC patients had a higher rate(15.7%vs 6.5%,P<0.001)and a longer median readmission LOS(4 vs 3 days,P<0.001).The APF

关键词： Acute pancreatitis Acute peripancreatic fluid collections Readmission predictors Inpatient complications Healthcare utilization and costs