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Journal of Systems Science and Systems Engineering 2024年第2期33卷 187-206页

作者： Mintu kumar Himani Pant S.b.Singh Department of Mathematics Statistics and Computer Science G.B.Pant University of AgricultureTechnologyPantnagarUttarakhandIndia

Uncertainty is an important factor that needs to be considered while analyzing the performance of any engineering *** order to quantify uncertainty,fuzzy set theory is frequently used by most of researchers,including energy system *** to the classical reliability theory,component lifetimes have crisp parameters,but due to uncertainty and inaccuracy in data,it is sometimes very difficult to determine the exact values of these parameters in real-world *** overcome this difficulty in the current research,failure and repair rates were taken as triangular fuzzy numbers to determine the fuzzy availability of a system undergoing calendar-based periodic inspection subject to multiple failure modes(FMs).It was assumed that each component in the system had an exponential failure rate and repair rate with fuzzy *** FMs were explicitly taken into account when a functional state of the system was *** FM had a random failure *** the occurrence of any failure,a random time was selected for the relevant corrective repair *** proposed research was studied for one of the major sources of green energy,namely a wind turbine system wherein all the derived propositions have been implemented on it.

关键词： Fuzzy reliability fuzzy availability wind turbine system multiple failure modes triangular fuzzy number

Gastroesophageal reflux following per-oral endoscopic myotomy:Can we improve outcomes?

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World Journal of Gastroenterology 2024年第22期30卷 2834-2838页

作者： Inian Samarasam Raj kumar Joel Anna b Pulimood Department of Surgery Upper Gastrointestinal Surgery UnitChristian Medical College&HospitalVellore 632004TamilnaduIndia Department of Cardiothoracic Surgery Christian Medical College&HospitalVellore 632004TamilnaduIndia Department of Gastrointestinal Sciences Christian Medical College and HospitalVellore 632004Tamil NaduIndia

This editorial is an analysis the review article by Nabi et al recently published in this *** Cardia is a disease whose pathophysiology is still *** is known that there is inflammation of unknown aetiology leading to loss of ganglion cells in the muscularis *** end result is lower oesophageal sphincter spasm,loss of receptive relaxation,decreased oesophageal peristalsis,all leading on to varying degrees of *** treatment of this condition is palliative in nature,performed by myotomy of the lower oesophagus either surgically or *** reflux disease(GERD)has been associated with the myotomy performed,particularly with the Peroral Endoscopic Myotomy(POEM)*** et al have provided an excellent overview of the latest developments in predicting,preventing,evaluating,and managing GERD subsequent to *** on this theme,this review article explores the concept of using histology of the oesophageal muscle layer,to grade the disease and thereby help tailoring the length/type of myotomy performed during the POEM *** the future,will a histology based algorithm available preoperatively,help modify the POEM procedure,thereby decreasing the incidence of GERD associated with POEM?

关键词： Achalasia cardia Peroral endoscopic myotomy Laparoscopic Heller’s myotomy Histopathology Histologic grading

Surface Modification Aspects for Improving biomedical Properties in Implants:A Review

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Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 213-241页

作者： J.Sharath kumar Rakesh kumar Rajeev Verma Industrial and Production Department Dr B R Ambedkar National Institute of Technology JalandharJalandharPunjab144008India

The primary focus during surgery is to ensure successful implantation by achieving long-term and stable fixation of *** surgery is now more focused on the development of novel biomaterials intended to improve implant *** obtain a better understanding of metal implants,this article investigated the causes of material failures in certain cases and analysed a few case *** interaction between the implant and bone tissue was a crucial aspect of successful implantation,and this study explored the factors influencing this interaction as well as ways to improve *** modern approaches used for modifying implant surfaces were systematically illustrated and briefly *** spray coatings were often favoured because of their wide range of coating materials,but other substantial surface modifications(such as friction stir processing and laser surface texturing)were also used for a selection of ***,implant surfaces with desirable features,such as biocompatibility,antibacterial properties,corrosion resistance,and wear resistance,were essential for optimising implant *** systematic review's main aim is to provide exhaustive reference information and a broad overview to advance the production and design of orthopaedic implants.

关键词： biomaterials Surface treatments Thermal spray coatings Antibacterial biocompatibility Corrosion resistance Wear resistance

Study of Type-b QPOs Observed in black Hole X-Ray binary Swift J1728.9-3613

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Research in Astronomy and Astrophysics 2024年第3期24卷 1-9页

作者： Raj kumar Astrophysical Sciences Division Bhabha Atomic Research CentreMumbai 400085India Homi bhabha National Institute Mumbai 400094India

We report the detection of type-b quasi-periodic oscillation(QPO)of the black hole X-ray binary Swift J1728.9-3613 observed by NICER during the 2019 outburst.A type-b QPO was observed for the first two days and it disappeared as flux increased,but again appeared at∼7.70 Hz when flux was dramatically *** source was found in the soft intermediate state during these *** further studied the energy dependence of the *** found that QPO was observed only for a higher energy range implying that the origin of QPO is possibly due to the corona emitting higher energy photons by the inverse Compton *** variation of spectral parameters can be explained with the disk truncation *** fractional rms was found to be monotonically increased with *** phase lag spectrum followed the“U-shaped”*** rms and phase lag spectrum are modeled and explained with the single-component Comptonization model vkompthdk.

关键词： X-rays binaries-accretion-accretion disks-X-rays individual (Swift J1728.9-3613)

AI/ML Enabled Automation System for Software Defined Disaggregated Open Radio Access Networks:Transforming Telecommunication business

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big Data Mining and Analytics 2024年第2期7卷 271-293页

作者： Sunil kumar Institute for Communication Systems University of SurreyGuildfordGU27XHUK

Open Air Interface(OAI)alliance recently introduced a new disaggregated Open Radio Access Networks(O-RAN)framework for next generation telecommunications and *** disaggregated architecture is open,automated,software defined,virtual,and supports the latest advanced technologies like Artificial Intelligence(AI)Machine Learning(AI/ML).This novel intelligent architecture enables programmers to design and customize automated applications according to the business needs and to improve quality of service in fifth generation(5G)and beyond 5G(b5G).Its disaggregated and multivendor nature gives the opportunity to new startups and small vendors to participate and provide cheap hardware software solutions to keep the market *** paper presents the disaggregated and programmable O-RAN architecture focused on automation,AI/ML services,and applications with Flexible Radio access network Intelligent Controller(FRIC).We schematically demonstrate the reinforcement learning,external applications(xApps),and automation steps to implement this disaggregated O-RAN *** idea of this research paper is to implement an AI/ML enabled automation system for software defined disaggregated O-RAN,which monitors,manages,and performs AI/ML-related services,including the model deployment,optimization,inference,and training.

关键词： Artificial Intelligence(AI) Reinforcement Learning(RL) Open Radio Access Networks(O-RAN) Flexible Radio access network Intelligent Controller(FRIC) external Applications(xApps) Machine Learning(ML),sixth generation(6G)

Efficient processed carbon Soot@MoS2 hybrid bi-functional electrode for dye-sensitized solar cell and asymmetric supercapacitor devices

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Nano Materials Science 2024年第4期6卷 484-494页

作者： b.Arjun kumar Gopal Ramalingam Salah Addin burhan Al Omari Zhumabay bakenov Sambasivam Sangaraju Sangarapani Sudhakar Quantum Material Research Lab (QMRL) Department of Nanoscience and TechnologyAlagappa University Department of Mechanical and Aerospace Engineering United Arab Emirates University Department of Chemical and Materials Engineering Nazarbayev University National Water and Energy Center United Arab Emirates University Department of Physics Alagappa University

A feasible approach to rectify the world's energy demand using sustainable development of adequate energy generation and storage technologies in a single *** this respect,we made a holistic approach with a bifunctional electrode material to perform effectively in energy generation and storage ***2nanosheets were produced by the eco-friendly method and reduced graphene oxide is used to prepared by carbon soot which is derived from castor *** prepared soot and rGO were combined with MoS2nanosheets using a simple sonication *** as-prepared sample was introduced in the supercapacitor and DSSC *** combination MoS2@rGO provides an enhanced conversion efficiency of 11.81%and the reproducibility of DSSC is also ***,MoS2@rGO is used to fabricate an asymmetric supercapacitor to investigate its real-time *** device produced the maximum power density （1666.6 mW/kg） and energy density （25.69 mWh/Kg） at 1 A/*** asymmetric supercapacitor device holds a cyclic stability of 81.4%for 5000 cycles and it powered up an LED device for 4 min.

关键词： Carbon soot Solar cells Supercapacitors MoS 2 DSSC

Thermodynamic properties and phase diagram of quark matter within non-extensive Polyakov chiral SU(3)quark mean field model

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Chinese Physics C 2024年第5期48卷 60-71页

作者： Dhananjay Singh Arvind kumar Department of Physics Dr.B R Ambedkar National Institute of Technology JalandharJalandhar–144008PunjabIndia

In the present study,we applied Tsallis non-extensive statistics to investigate the thermodynamic properties and phase diagram of quark matter in the Polyakov chiral SU(3)quark mean field *** this model,the properties of the quark matter were modified through the scalar fieldsσ,ζ,δ,χ,vector fieldsω,ρ,ϕ,and Polyakov fieldsΦandΦ¯at finite temperature and chemical ***-extensive effects were introduced through a dimensionless parameter q,and the results were compared to those of the extensive case(q→1).In the non-extensive case,the exponential in the Fermi-Dirac(FD)function was modified to a q-exponential *** influence of the q parameter on the thermodynamic properties,pressure,energy,and entropy density,as well as trace anomaly,was *** speed of sound and specific heat with non-extensive effects were also ***,the effect of non-extensivity on the deconfinement phase transition as well as the chiral phase transition of u,d,and s quarks was *** found that the critical end point(CEP),which defines the point in the(T−μ)phase diagram where the order of the phase transition changes,shifts to a lower value of temperature,TCEP,and a higher value of chemical potential,μCEP,as the non-extensivity is increased,that is,q>1.

关键词： quark matter quark mean field model QCD phase diagram non-extensive statistics

A bayesian multi-model inference methodology for imprecise momentindependent global sensitivity analysis of rock structures

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 840-859页

作者： Akshay kumar Gaurav Tiwari Department of Civil Engineering Indian Institute of Technology(IIT)KanpurKanpur208016India

Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(*** of distribution type and its parameters)of input rock properties emanating due to the small size of datasets while mapping the relative importance of properties to the model *** paper proposes an augmented bayesian multi-model inference(bMMI)coupled with GSA methodology(bMMI-GSA)to address this issue by estimating the imprecision in the momentindependent sensitivity indices of rock structures arising from the small size of input *** methodology employs bMMI to quantify the epistemic uncertainties associated with model type and parameters of input *** estimated uncertainties are propagated in estimating imprecision in moment-independent borgonovo’s indices by employing a reweighting approach on candidate probabilistic *** proposed methodology is showcased for a rock slope prone to stress-controlled failure in the Himalayan region of *** proposed methodology was superior to the conventional GSA(neglects all epistemic uncertainties)and bayesian coupled GSA(b-GSA)(neglects model uncertainty)due to its capability to incorporate the uncertainties in both model type and parameters of *** borgonovo’s indices estimated via proposed methodology provide the confidence intervals of the sensitivity indices instead of their fixed-point estimates,which makes the user more informed in the data collection *** performed with the varying sample sizes suggested that the uncertainties in sensitivity indices reduce significantly with the increasing sample *** accurate importance ranking of properties was only possible via samples of large ***,the impact of the prior knowledge in terms of prior ranges and distributions was significant;hence,any related assumption should be made carefully.

关键词： bayesian inference Multi-model inference Statistical uncertainty Global sensitivity analysis(GSA) borgonovo’s indices Limited data

Improved neurological diagnoses and treatment strategies via automated human brain tissue segmentation from clinical magnetic resonance imaging

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Intelligent Medicine 2024年第3期4卷 161-169页

作者： Puranam Revanth kumar Rajesh kumar Jha P Akhendra kumar.b.Deevena Raju Department of Electronics and Communication Engineering Faculty of Science and TechnologyICFAI Foundation for Higher EducationHyderabadIndia Department of Data Science&AI Faculty of Science and TechnologyICFAI Foundation for Higher EducationHyderabadIndia

Objective Segmentation of medical images is a crucial process in various image analysis *** segmentation methods excel in accuracy when compared to manual segmentation in the context of medical image *** of the essential phases in the quantitative analysis of the brain is automated brain tissue segmentation using clinically obtained magnetic resonance imaging(MRI)*** allows for precise quantitative examination of the brain,which aids in diagnosis,identification,and classification of ***,the efficacy of the segmentation approach is crucial to disease diagnosis and treatment *** This study presented a hybrid optimization method for segmenting brain tissue in clinical MRI scans us-ing a fractional Henry horse herd gas optimization-based Shepard convolutional neural network(FrHHGO-based ShCNN).To segment the clinical brain MRI images into white matter(WM),grey matter(GM),and cerebrospinal fluid(CSF)tissues,the proposed framework was evaluated on the Lifespan Human Connectome Projects(HCP)*** hybrid optimization algorithm,FrHHGO,integrates the fractional Henry gas optimization(FHGO)and horse herd optimization(HHO)*** required 30 min,whereas testing and segmentation of brain tissues from an unseen image required an average of 12 *** Compared to the results obtained with no refinements,the Skull stripping refinement showed significant *** the method included a preprocessing stage,it was flexible enough to enhance image quality,allowing for better results even with low-resolution *** precision of 93.2%,recall of 91.5%,Dice score of 91.1%,and F1-score of 90.5% were achieved using the proposed FrHHGO-based ShCNN,which was superior to all other approaches.

关键词： brain tissue segmentation Deep learning Magnetic resonance imaging Optimization technique Shepard convolutional neural network

Recombinant vaccines:Current updates and future prospects

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Asian Pacific Journal of Tropical Medicine 2024年第8期17卷 338-350页

作者： Vivek kumar Anuj Verma Riddhi Singh Priyanshi Garg Santosh kumar Sharma Himanshu Narayan Singh Santosh kumar Mishra Sanjay kumar Department of Allied Medical Sciences School of Allied Medical SciencesLovely Professional UniversityPhagwaraPunjabIndia bioengineering Division of Department of Bioscience and Biomedical EngineeringIndian Institute of Technology BhilaiChhattisgarhIndia Department of biotechnology IMS Engineering CollegeGhaziabadU.P.India Department of Chemistry and biochemistry University of WindsorOntario N9B3P4Canada biological and biocomputational Laboratory Department of Life SciencesSharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India Department of System biology Columbia University Irving Medical CenterNew YorkNY 10032USA Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India

Recombinant technology-based vaccines have emerged as a highly effective way to prevent a wide range of *** technology improved vaccine manufacturing,rendering it more efficient and *** vaccines have multiple advantages compared to conventional *** pandemic has heightened awareness of the advantages of these vaccine technologies;trust and acceptance of these vaccines are steadily growing *** work offers an overview of the prospects and advantages associated with recombinant ***,it discusses some of the challenges likely to arise in the *** ability to target diverse pathogen classes underscores their contributions to preventing previously untreatable diseases(especially vector-borne and emerging diseases)and hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these ***,their compatibility with emerging vaccination platforms of the future like virus-like particles and CRISPR/Cas9 for the production of next-generation vaccines may offer many *** review also reviewed the hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these vaccines against vector-borne diseases,emerging diseases,and untreatable diseases with high mortality rates like AIDS as well as cancer.

关键词： Malaria Dengue Emerging diseases Immunoinformatics Virus-like particles CRISPR-Cas9