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Novel Framework for an Intrusion Detection system Using multiple Feature selection methods Based on Deep Learning

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Tsinghua science and Technology 2024年第4期29卷 948-958页

作者： A.E.m.Eljialy mohammed Yousuf uddin sultan Ahmad Department of Information systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDss) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDs in software-defined networks is an inevitable component of network security. The main challenges of such an IDs are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDss in IoT networks unfeasible. machine learning (mL) techniques are extensively applied to build robust IDss. many researchers have utilized different mL methods and techniques to address the above challenges. The development of an efficient IDs starts with a good feature selection process to avoid overfitting the mL model. This work proposes a multiple feature selection process followed by classification. In this study, the software-defined networking (sDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

Remission of type 2 diabetes mellitus

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World Journal of Diabetes 2024年第7期15卷 1384-1389页

作者： Afif Nakhleh Elya Halfin naim shehadeh Institute of Endocrinology Diabetes and MetabolismRambam Health Care CampusHaifa 3109601Israel Diabetes and Endocrinology Clinic Maccabi Healthcare ServicesHaifa 3299001Israel The Azrieli Faculty of medicine Bar-Ilan UniversitySafed 1311502Israel

The surge in type 2 diabetes mellitus(T2Dm)is tightly linked to obesity,leading to ectopic fat accumulation in internal *** management has become a cornerstone of T2Dm treatment,with evidence suggesting that significant weight loss can induce ***,defined as sustained hemoglobin(HbA1c)below 6.5% for at least 3 months without medication,can be achieved through various approaches,including lifestyle,medical,and surgical *** bariatric surgery offers significant remission rates,particularly for patients with severe *** lifestyle modifications,including lowcalorie diets and exercise,have also demonstrated significant *** like incretin-based agents show robust results in improving beta-cell function,achieving glycemic control,and promoting weight *** complete remission without medication may not be attainable for everyone,especially those with severe insulin resistance or deficiency,early and aggressive glycemic control remains a crucial *** HbA1c below 6.5%from the time of diagnosis reduces the risk of long-term complications and ***,considering a broader definition of remission,encompassing individuals with sustained control on medication,could offer a more comprehensive and inclusive approach to managing this chronic disease.

关键词： Type 2 diabetes mellitus Remission Lifestyle intervention metabolic bariatric surgery Glucose-lowering medications Weight management medications

Fractional order prey-predator model incorporating immigration on prey:Complexity analysis and its control

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International Journal of Biomathematics 2024年第5期17卷 285-317页

作者： md.Jasim uddin Chandra Nath Podder Departmentof mathematics University of Dhaka Dhaka-1000Bangladesh

In this paper,the Caputo fractional derivative is assumed to be the prey-predator *** order to create Caputo fractional differential equations for the prey-predator model,a discretization process is first *** fixed points of the model are categorized *** identify requirements for the fixed points of the suggested prey-predator model's local asymptotic *** demonstrate analytically that,under specific parametric conditions,a fractional order prey-predator model supports both a Neimark-sacker(Ns)bifurcation and a Flip *** present evidence for Ns and Flip bifurcations using central manifold and bifurcation *** parameter values and the initial conditions have been found to have a profound impact on the dynamical behavior of the fractional order prey-predator *** the bifurcation parameter is increased,the system displays chaotic *** simulations are shown to demonstrate chaotic behaviors like bifurcations,phase portraits,invariant closed cycles,and attractive chaotic sets in addition to validating analytical *** suggested prey-predator dynamical system's chaotic behavior will be controlled by the OGY and hybrid control methodology,which will also visualize the chaotic state for various biological parameters.

关键词： Prey-predator model Caputo fractional derivative Flip and Neimark-sacker(Ns)bifurcations immigration chaos control numerical simulation

Role of incretins and glucagon receptor agonists in metabolic dysfunction-associated steatotic liver disease:Opportunities and challenges

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World Journal of Hepatology 2024年第5期16卷 731-750页

作者： Chencheng Xie naim Alkhouri mohamed A Elfeki Department of Internal medicine University of South Dakota Sanford School of MedicineSioux FallsSD 57105United States Department of Hepatology Avera Mckennan University Hospital and Transplant InstituteSioux FallsSD 57105United States Department of Hepatology Arizona Liver HealthChandlerAZ 85712United States Department of Hepatology Avera McKennan University Hospital and Transplant InstituteSioux FallsSD 57105United States

metabolic dysfunction-associated steatotic liver disease(mAsLD)has become the most common chronic liver disease worldwide,paralleling the rising pandemic of obesity and type 2 *** to the growing global health burden and com-plex pathogenesis of mAsLD,a multifaceted and innovative therapeutic approach is *** receptor agonists,which were initially developed for diabetes management,have emerged as promising candidates for mAsLD *** review describes the pathophysiological mechanisms and action sites of three major classes of incretin/glucagon receptor agonists:glucagon-like peptide-1 receptor agonists,glucose-dependent insulinotropic polypeptide receptor agonists,and glucagon receptor *** and glucagon directly or indirectly impact various organs,including the liver,brain,pancreas,gastro-intestinal tract,and adipose ***,these agents significantly improve glycemic control and weight management and mitigate mAsLD ***,this study provides a summary of clinical trials analyzing the effect-iveness and safety of incretin receptor agonists in mAsLD management and provides an in-depth analysis highlighting their beneficial effects on improving liver function,hepatic steatosis,and intrahepatic *** are emerging challenges associated with the use of these medications in the real world,particularly adverse events,drug-drug interactions,and barriers to access,which are discussed in ***,this review highlights the evolving role of incretin receptor agonists in mAsLD management and suggests future research directions.

关键词： metabolic dysfunction-associated steatotic liver disease metabolic dysfunction-associated steatohepatitis Glucagon-like peptide-1 Glucose-dependent inulinotropic polypeptide Glucagon Incretin Receptor agonist

study on Employees' Adoption of Artificial Intelligence in Pakistan Banking sector

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Study on Employees' Adoption of Artificial Intelligence in P...

作者： uddin Ihsan 山东财经大学

学位级别：硕士

The rapid pace of technological evolution is reshaping the landscape of business operations,prompting organizations to invest substantially in digital innovations such as artificial intelligence(AI)to maintain ***,the banking sector has emerged as an early adopter of AI technologies,reflecting its proactive stance toward technological *** the banking industry navigates through accelerated technological shifts,this research endeavors to explore the intention of employees within the Pakistan banking sector to embrace *** upon qualitative interviews with banking personnel,grounded theory approach was employed to identify five critical factors shaping AI adoption: perceived usefulness,perceived ease of use,personal well-being concern,personal development concern,and top management ***,a conceptual model was proposed by extending the Technology Acceptance model(TAm)*** a quantitative approach,structural Equation modeling(sEm)was applied to analyze data collected from a sample of 255 employees across multiple banks in *** findings underscore the direct impact of all identified factors on AI adoption,albeit with varying degrees of ***,personal development concern and personal well-being concern were found to exert a negative influence on employees' intention to adopt AI,aligning with the formulated *** findings hold significant implications for organizations seeking to assess their workforce's readiness for AI *** illuminating the key factors influencing AI adoption,this study provides valuable insights for organizations striving to navigate the evolving technological landscape effectively.

关键词： Artificial Intelligence AI Adoption TAm model Banking sector AI Technologies

Improved Dynamic Johnson sequencing Algorithm(DJs)in Cloud Computing Environment for Efficient Resource scheduling for Distributed Overloading

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Journal of systems science and systems Engineering 2024年第4期33卷 391-424页

作者： Anurag sinha Pallab Banerjee sharmistha Roy Nitasha Rathore Narendra Pratap singh mueen uddin maha Abdelhaq Raed Alsaqour Department of Computer science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CsE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson sequencing Algorithm(DJs).Emphasizing on-demand resource sharing,typical to Cloud service Providers(CsPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson sequencing Algorithm and the m/m/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFs)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

significance of Live streaming in shaping Business: A Critical Review and Analytical study

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social Networking 2024年第3期13卷 35-43页

作者： Nasir uddin Analytics & systems Department University of Bridgeport Bridgeport CT USA

With the rise of live streaming on social media, platforms like Facebook, Instagram, and YouTube have become powerful business tools. They enable users to share live videos, fostering direct connections between businesses and their customers. This critical literature review paper explores the impact of live streaming on businesses, focusing on its role in attracting and satisfying consumers by promoting products tailored to their needs and wants. It emphasizes live streaming’s crucial role in engaging customers, a key to business growth. The study also provides viable strategies for businesses to leverage live streaming for growth and customer engagement, underscoring its importance in the business landscape.

关键词： Live streaming social media Business Impact Consumer Decision-making Brand Community Interactive marketing Facebook Live Instagram Live Product Reviews Online Consumer Behavior self-Determination Theory (sDT) Live Video marketing

Engineering of efficient visible light photocatalysts:Ti_(1-x+y)Cu_(x)La_(y)O_(2)(x=0.03;y=0,0.005,0.01) compositions

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Journal of Rare Earths 2024年第3期42卷 497-505,I0003页

作者： s.m.Yakout A.m.Youssef Inorganic Chemistry Department National Research Centre(NRC)El Buhouth StDokkiCairo12622Egypt

In dye-photocatalysis, widening the wavelengths absorption range of catalysts as well as aborting the recombination of the photoexcited charge carriers(electrons-holes pairs) are of paramount *** the current study, we report the photocatalytic characteristics of four compositions composed of TiO_(2),Ti_(0.97)Cu_(0.03)O_(2), Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders for two harmful dyes(Congo red and methylene blue). The X-ray diffraction technique verified the configuration of mixed anatase and rutile phases in pure TiO_(2)and Ti_(0.97)Cu_(0.03)O_(2)powders while Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders possess anatase phase only. The changes of the band gap structure and dimensions of the unit cell volume of TiO_(2)confirm the substitution of Ti^(4+)sites by Cu^(2+)and La^(3+)ions. Remarkable widening of wavelengths absorption with formation of long absorption tails were found in TiO_(2)(3.13 e V) through insertion of La^(3+)plus Cu^(2+)ions. Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)samples exhibit a visible light band gap of 2.3 and 2.7 e V, respectively. Based on sEm images, incorporation of Cu^(2+)and La^(3+)ions influences the surface morphology of TiO_(2). The resulting Ti_(0.97)Cu_(0.03)O_(2), Ti_(0.965)Cu_(0.03)La_(0.005)O_(2)and Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)powders present enhanced photocatalytic activity towards Congo red dye degradation compared to pure one under natural solar spectrum. The best Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)catalyst exhibits superior photocatalytic activity of 96% for 10 ppm CR dye in 20 min as well as above average photocatalytic efficiency of 63% for 30 ppm CR dye in 120 min. As well, it showed acceptable photodegradation activity of 52% for 30 ppm mB solution in 140 min of sunlight irradiation. The heightened photodegradation efficiency of Ti_(0.96)Cu_(0.03)La_(0.01)O_(2)catalyst can be clarified in terms of higher ch

关键词： semiconductor TiO_(2) Rare earths Congo red methylene blue solar spectrum Photodegradation

^(4)He monolayer on graphene:a quantum monte Carlo study

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Communications in Theoretical Physics 2024年第9期76卷 149-157页

作者： s Yu m Boninsegni Department of Physics University of AlbertaEdmontonAlbertaT6G 2H5Canada

We revisit the problem of adsorption of a single^(4)He layer on graphene,focusing on the commensurate(C_(1/3))crystalline phase,specifically on whether it may possess a nonzero superfluid response,and on the existence of superfluid phases,either(metastable)liquid or vacancy-doped *** make use of canonical quantum monte Carlo simulations at zero and finite temperature,based on a realistic microscopic model of the *** results confirm the absence of any superfluid response in the commensurate crystal,and that no thermodynamically stable uniform phase exists at lower *** evidence of a possibly long-lived,metastable superfluid phase at C_(1/3)coverage is ***,the results of ground-state projection methods and finite-temperature simulations are entirely consistent.

关键词： superfluidity low-dimensional systems quantum monte Carlo helium supersolids