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sepsis during short bowel syndrome hospitalizations:Identifying trends,disparities,and clinical outcomes in the United states

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World Journal of Gastrointestinal Pathophysiology 2024年第1期15卷 26-36页

作者： Dushyant singh Dahiya Jennifer Wachala shantanu solanki Dhanshree solanki Asim Kichloo samantha Holcomb Uvesh Mansuri Khwaja saad Haq Hassam Ali Manesh Kumar Gangwani Yash R shah Teresa Varghese Hafiz Muzaffar Akbar Khan simon Peter Horslen Thomas D schiano syed-Mohammed Jafri Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Internal Medicine Samaritan Medical CenterWatertownNY 13601United States Division of Gastroenterology Hepatology&Nutrition The University of Texas MD Anderson Cancer CenterHoustonTX 77030United States Department of Medicine Institute for Foreign Medical Graduate EducationHoustonTX 77030United States Department of Internal Medicine MedStar Harbor HospitalBaltimoreMD 21225United States Department of Internal Medicine WellStar Spalding Regional HospitalGriffinGA 30224United States Division of Gastroenterology Hepatology and NutritionEast Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Gastroenterology and Hepatology University of Arkansas for Medical SciencesLittle RockAR 72205United States Department of Internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology SUNY Upstate Medical UniversitySyracuseNY 13210United States Department of Pediatrics School of Medicine and UPMC Children’s Hospital of PittsburghUniversity of PittsburghPittsburghPA 15219United States Division of Liver Diseases Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Division of Gastroenterology and Hepatology Henry Ford HospitalDetroitMI 48202United States

BACKGROUND short bowel syndrome(sBs)hospitalizations are often complicated with *** is a significant paucity of data on adult sBs hospitalizations in the United states and across the *** To assess trends and outcomes of sBs hospitalizations complicated by sepsis in the United *** The National Inpatient sample was utilized to identify all adult sBs hospitalizations between *** study cohort was further divided based on the presence or absence of *** were identified,and hospitalization characteristics and clinical outcomes were *** of mortality for sBs hospitalizations complicated with sepsis were *** Of 247097 sBs hospitalizations,21.7%were complicated by *** sBs hospitalizations had a rising trend of hospitalizations from 20.8%in 2005 to 23.5%in 2014(P trendseptic sBs hospitalizations,septic sBs hospitalizations had a higher proportion of males(32.8%vs 29.3%,Ps in the 35-49(45.9%vs 42.5%,Ps 31.1%,Ps,and ethnic minorities,i.e.,Blacks(12.4%vs 11.3%,Pspanics(6.7%vs 5.5%,Pseptic sBs hospitalizations had a higher proportion of patients with intestinal transplantation(0.33%vs 0.22%,Ps 1.4%,Pstay(16.1 d vs 7.7 d,Psepsis cohort.A younger age,female gender,White race,and presence of comorbidities such as anemia and depression were identified to be independent predictors of inpatient mortality for septic sBs *** septic sBs hospitalizations had a rising trend between 2005-2014 and were associated with higher inpatient mortality compared to non-septic sBs hospitalizations.

关键词： short bowel syndrome sepsis Outcomes Mortality Trends

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Intelligent approach of score-based artificial fish swarm algorithm(sAFsA)for Parkinson’s disease diagnosis

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 540-561页

作者： syed Haroon Abdul Gafoor Padma Theagarajan Bharathiar University CoimbatoreIndia Department of Computer Applications Sona College of TechnologySalemIndia

Purpose-Conventional diagnostic techniques,on the other hand,may be prone to subjectivity since they depend on assessment of motions that are often subtle to individual eyes and hence hard to classify,potentially resulting in ***,early nonmotor signs of Parkinson’s disease(PD)can be mild and may be due to variety of other *** a result,these signs are usually ignored,making early PD diagnosis *** learning approaches for PD classification and healthy controls or individuals with similar medical symptoms have been introduced to solve these problems and to enhance the diagnostic and assessment processes of PD(like,movement disorders or other Parkinsonian syndromes).Design/methodology/approach-Medical observations and evaluation of medical symptoms,including characterization of a wide range of motor indications,are commonly used to diagnose *** quantity of the data being processed has grown in the last five years;feature selection has become a prerequisite before any *** study introduces a feature selection method based on the score-based artificial fish swarm algorithm(sAFsA)to overcome this ***-This study adds to the accuracy of PD identification by reducing the amount of chosen vocal features while to use the most recent and largest publicly accessible *** subset selection in PD detection techniques starts by eliminating features that are not relevant or *** to a few objective functions,features subset chosen should provide the best *** limitations/implications-In many situations,this is an Nondeterministic Polynomial Time(NPHard)*** method enhances the PD detection rate by selecting the most essential features from the *** begin,the data set’s dimensionality is reduced using singular Value Decomposition dimensionality ***,Biogeography-Based Optimization(BBO)for feature selection;the weight value is a vital parameter for find

关键词： Parkinson disease dysphonia features Feature subset selection score-based artificial fish swarm algorithm(sAFsA) singular value decomposition(sVD) Classification

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Automatic Detection of Weapons in surveillance Cameras Using Efficient-Net

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Computers, Materials & Continua 2022年第9期72卷 4615-4630页

作者： Erssa Arif syed Khuram shahzad Muhammad Waseem Iqbal Muhammad Arfan Jaffar Abdullah s.Alshahrani Ahmed Alghamdi Department of Computer science Superior UniversityLahore54000Pakistan Department of Informatics&systems University of Management&TechnologyLahore54000Pakistan Department of software Engineering Superior UniversityLahore54000Pakistan Faculty of Computer science&Information Technology Superior UniversityLahore54000Pakistan Department of Computer science&Artificial Intelligence College of Computer Science&EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia

The conventional Close circuit television(CCTV)cameras-based surveillance and control systems require human resource *** all the criminal activities take place using weapons mostly a handheld gun,revolver,pistol,swords ***,automatic weapons detection is a vital requirement now a *** current research is concerned about the real-time detection of weapons for the surveillance cameras with an implementation of weapon detection using Efficient–*** time datasets,from local surveillance department’s test sessions are used for model training and *** consist of local environment images and videos from different type and resolution cameras that minimize the *** research also contributes in the making of Efficient-Net that is experimented and results in a positive *** results are also been represented in graphs and in calculations for the representation of results during training and results after training are also shown to represent our research ***-Net algorithm gives better results than existing *** using Efficient-Net algorithms the accuracy achieved 98.12%when epochs increase as compared to other algorithms.

关键词： Detection algorithms machine learning machine vision video surveillance

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An Energy-Efficient 12b 2.56 Ms/s sAR ADC Using successive scaling of Reference Voltages

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Computers, Materials & Continua 2022年第7期72卷 2127-2139页

作者： Hojin Kang syed Asmat Ali shah HyungWon Kim Department of Electronics Engineering College of Electrical and Computer EngineeringChungbuk National UniversityCheongju28644Korea Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan

This paper presents an energy efficient architecture for successive approximation register(sAR)analog to digital converter(ADC).sAR ADCs with a capacitor array structure have been widely used because of its simple architecture and relatively high ***,conventional sAR ADCs consume relatively high energy due to the large number of capacitors used in the capacitor array and their sizes scaled up along with the number of *** proposed architecture reduces the energy consumption as well as the capacitor size by employing a new array architecture that scales down the reference voltages instead of scaling up the capacitor *** proposed 12-bit sAR ADC is implemented in Complementary Metal Oxide semiconductor(CMOs)0.13 um library using Cadence Virtuoso design *** results and mathematical model demonstrate the overall energy savings of up to 97.3%compared with conventional sAR ADC,67%compared with the sAR ADC with split capacitor,and 35%compared with the resistor and capacitor(R&C)Hybrid sAR *** ADC achieves an effective number of bits(ENOB)of 11.27 bits and consumes 61.7 uW at sampling rate of 2.56 Ms/s,offering an energy consumption of 9.8 fJ per conversion *** proposed sAR ADC offers 95.5%reduction in chip core area compared to conventional architecture,while occupying an active area of 0.088 mm2.

关键词： Low voltage low power successive approximation register analog to digital converter switching energy

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Mapping cloud computing in university e-governance system

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International Journal of Intelligent Computing and Cybernetics 2018年第1期11卷 141-162页

作者： Maroof Naieem Qadri s.M.K.quadri Directorate of IT&ss University of KashmirSrinagarIndia and PG Department of Computer ScienceUniversity of KashmirSrinagarIndia Department of Computer science Jamia Millia IslamiaNew DelhiIndia

Purpose–The purpose of this paper is to propose a model to map the on-premise computing system of the university with cloud computing for achieving an effective and reliable university e-governance(e-gov)***/methodology/approach–The proposed model incorporates the university’s internal e-gov system with cloud computing in order to achieve better reliability,accessibility and availability of e-gov services while keeping the recurring expenditure *** model has been implemented(and tested on a university e-gov system)in the University of Kashmir(UOK);case study of this implementation has been chosen as the research methodology to discuss and demonstrate the proposed ***–According to the results based on practical implementation,the proposed model is ideal for e-governed systems as it provided adequate cost savings and high availability(HA)with operational ease,apart from continuing to have the necessary security in place to maintain confidential information such as student details,grades,*** implications–The implication of this study is to achieve HA and to reduce the cost from using external clouds,mapping internal IT servers of the university with the external cloud computing ***/value–Because no established mapping model for universities has been provided for effective,low-cost,highly available university e-gov system,the proposed mapping model through this paper closes this gap and provides guidelines to implement a hybrid-mapped e-gov model for universities while keeping the recurring expenditure on cloud computing *** paper provides the perceptions of its adoption at UOK for achieving high reliability,accessibility and uptime of its e-gov applications while keeping the recurring expenditure on cloud computing minimal.

关键词： Universities Cloud computing Cloud services Hybrid computing Mapped computing University e-governance

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Diffusion Based Channel Gains Estimation in WsN Using Fractional Order strategies

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Computers, Materials & Continua 2022年第2期70卷 2209-2224页

作者： Nasir Mahmud Khokhar Muhammad Nadeem Majeed syed Muslim shah Department of Computer Engineering University of Engineering and TechnologyTaxila47050Pakistan Punjab University College of Information Technology University of PunjabLahore54000Pakistan Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan

In this study,it is proposed that the diffusion least mean square(LMs)algorithm can be improved by applying the fractional order signal processing *** of Caputo’s fractional derivatives are considered in the optimization of cost *** is suggested to derive a fractional order variant of the diffusion LMs *** applicability is tested for the estimation of channel parameters in a distributed environment consisting of randomly distributed sensors communicating through wireless *** topology of the network is selected such that a smaller number of nodes are *** the network,a random sleep strategy is followed to conserve the transmission power at the *** proposed fractional ordermodified diffusionLMs algorithms are applied in the two configurations of combine-then-adapt and *** average squared error performance of the proposed algorithms along with its traditional counterparts are evaluated for the estimation of the Rayleigh channel *** proof of convergence is provided showing that the addition of the nonlinear term resulting from fractional derivatives helps adjusts the autocorrelation matrix in such a way that the spread of its eigenvalues *** increases the convergence as well as the steady state response even for the larger step *** results are shown for different number of nodes and fractional *** simulation results establish that the accuracy of the proposed scheme is far better than its classical counterparts,therefore,helps better solves the channel gains estimation problem in a distributed wireless *** algorithm has the potential to be applied in other applications related to learning and adaptation.

关键词： Diffusion strategies distributed channel gains fractional derivatives mean squared error

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structure identification and IO space partitioning in a nonlinear fuzzy system for prediction of patient survival after surgery

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 166-182页

作者： shabia shabir Khan s.M.K.quadri Department of Computer science University of KashmirSrinagarIndia

Purpose-As far as the treatment of most complex issues in the design is concerned,approaches based on classical artificial intelligence are inferior compared to the ones based on computational intelligence,particularly this involves dealing with vagueness,multi-objectivity and good amount of possible *** practical applications,computational techniques have given best results and the research in this field is continuously *** purpose of this paper is to search for a general and effective intelligent tool for prediction of patient survival after *** present study involves the construction of such intelligent computational models using different configurations,including data partitioning techniques that have been experimentally evaluated by applying them over realistic medical data set for the prediction of survival in pancreatic cancer ***/methodology/approach-On the basis of the experiments and research performed over the data belonging to various fields using different intelligent tools,the authors infer that combining or integrating the qualification aspects of fuzzy inference system and quantification aspects of artificial neural network can prove an efficient and better model for *** authors have constructed three soft computing-based adaptive neuro-fuzzy inference system(ANFIs)models with different configurations and data partitioning techniques with an aim to search capable predictive tools that could deal with nonlinear and complex *** evaluating the models over three shuffles of data(training set,test set and full set),the performances were compared in order to find the best design for prediction of patient survival after *** construction and implementation of models have been performed using MATLAB ***-On applying the hybrid intelligent neuro-fuzzy models with different configurations,the authors were able to find its advantage in predicting the survival of patients with pancreatic

关键词： Fuzzy logic Adaptive neuro-fuzzy inference system(ANFIs) Artificial neural network(ANN) Fuzzy inference system(FIs) soft computing

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A saliency Based Image Fusion Framework for skin Lesion segmentation and Classification

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Computers, Materials & Continua 2022年第2期70卷 3235-3250页

作者： Javaria Tahir syed Rameez Naqvi Khursheed Aurangzeb Musaed Alhussein Department of Computer science COMSATS University IslamabadIslamabad CampusPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusPakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

Melanoma,due to its higher mortality rate,is considered as one of the most pernicious types of skin cancers,mostly affecting the white *** has been reported a number of times and is now widely accepted,that early detection of melanoma increases the chances of the subject’s ***-aided diagnostic systems help the experts in diagnosing the skin lesion at earlier stages using machine learning *** thiswork,we propose a framework that accurately segments,and later classifies,the lesion using improved image segmentation and fusion *** proposed technique takes an image and passes it through two methods simultaneously;one is the weighted visual saliency-based method,and the second is improved HDCT based saliency *** resultant image maps are later fused using the proposed image fusion technique to generate a localized lesion *** resultant binary image is later mapped back to the RGB image and fed into the Inception-ResNet-V2 pre-trained model-trained by applying transfer *** simulation results show improved performance compared to several existing methods.

关键词： skin lesion segmentation image fusion saliency detection skin lesion classification deep neural networks transfer learning

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Resource Based Automatic Calibration system (RBACs) Using Kubernetes Framework

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Intelligent Automation & soft Computing 2023年第1期35卷 1165-1179页

作者： Tahir Alyas Nadia Tabassum Muhammad Waseem Iqbal Abdullah s.Alshahrani Ahmed Alghamdi syed Khuram shahzad Department of Computer science Lahore Garrison UniversityLahore54000Pakistan Department of Computer science&IT Virtual University of PakistanLahore54000Pakistan Department of software Engineering The Superior UniversityLahore54000Pakistan Department of Computer science&Artificial Intelligence College of Computer Science&EngineeringUniversity of Jeddah21493Saudi Arabia Department of software Engineering College of Computer Science and EngineeringUniversity of Jeddah21493Saudi Arabia Department of Informatics&systems University of Management&TechnologyLahore54000Pakistan

Kubernetes,a container orchestrator for cloud-deployed applications,allows the application provider to scale automatically to match thefluctuating intensity of processing *** cluster technology is used to encapsulate,isolate,and deploy applications,addressing the issue of low system reliability due to interlocking ***-based platforms usually entail users define application resource supplies for eco container *** is a constant problem of over-service in data centers for cloud service *** operating costs and incompetent resource utilization can occur in a waste of *** revolutionized the orchestration of the container in the cloud-native *** can adaptively manage resources and schedule containers,which provide real-time status of the cluster at runtime without the user’s *** clusters face unpredictable traffic,and the cluster performs manual expansion configuration by the *** to operational delays,the system will become unstable,and the service will be *** work proposed an RBACs that vigorously amended the distribution of containers operating in the entire Kubernetes *** allocation pattern is analyzed with the Kubernetes *** estimate the overall cost of RBACs,we use several scientific benchmarks comparing the accomplishment of container to remote node migration and on-site *** experiments ran on the simulations to show the method’s effectiveness yielded high precision in the real-time deployment of resources in eco *** to the default baseline,Kubernetes results in much fewer dropped requests with only slightly more supplied resources.

关键词： Docker container virtualization cloud resource kubernetes

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Towards Prevention of sportsmen Burnout:Formal Analysis of sub-Optimal Tournament scheduling

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Computers, Materials & Continua 2022年第1期70卷 1509-1526页

作者： syed Rameez Naqvi Adnan Ahmad s.M.Riazul Islam Tallha Akram M.Abdullah-Al-Wadud Atif Alamri Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer science and Engineering Sejong UniversitySeoul05006Korea Department of software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Research Chair of Pervasive and Mobile Computing King Saud UniversityRiyadh11543Saudi Arabia

scheduling a sports tournament is a complex optimization problem,which requires a large number of hard constraints to *** the availability of several such constraints in the literature,there remains a gap sincemost of the new sports events pose their own unique set of requirements,and demand novel *** talking of the strictly time bound events,ensuring fairness between the different teams in terms of their rest days,traveling,and the number of successive games they play,becomes a difficult task to resolve,and demands *** this work,we present a similar situation with a recently played sports event,where a suboptimal schedule favored some of the sides more than the *** introduce various competitive parameters to draw a fairness comparison between the sides and propose a weighting criterion to point out the sides that enjoyed this schedule more than the ***,we use root mean squared error between an ideal schedule and the actual ones for each side to determine unfairness in the distribution of rest days across their entire *** latter is crucial,since successively playing a large number of games may lead to sportsmen burnout,which must be prevented.

关键词： sports scheduling optimization constraint programming fatigue analysis

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