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Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks

Journal of Bionic Engineering 2024年第1期21卷 447-485页

作者： sanjay bhardwaj Da-Hye Kim Dong-Seong Kim Department of IT Convergence Engineering ICT Convergence Research CenterKumoh National Institute of TechnologyGumiSouth Korea

In industrial wireless networks,data transmitted from source to destination are highly repetitive.This often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet loss.Therefore,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless networks.The term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for mating.As a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base station.This includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue delay.These features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue delay.Statistical analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of Evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and efficiency.The results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC 2014.Furthermore,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ANOVA.Moreover,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other algorithms.Simulation results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet loss.The proposed algorithm is also evaluated for the conflicting o

关键词： Dragonfly Damselfly Interaction Queuing delay Optimization Industrial wireless networks

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Numerical modelling of post-failure behaviors of coal specimens

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 514-531页

作者： Ajeet Yadav Bhaskara Behera Gauri Shankar Prasad Singh sanjay Kumar Sharma Department of Mining Engineering Indian Institute of Technology(Banaras Hindu University)VaranasiUttar Pradesh221005India

A modelling approach consisting of best-fit relations to estimate the post-yield strength parameters is presented for simulating post-peak behavior beyond the point of residual strength of coal pillars having different w/h ratios.The model was developed based on back-analysis of the complete stress-strain behavior of specimens belonging to six different Indian coal seams with different w/h ratios of 0.5 e13.5.It was found that the simultaneous degradation of the cohesion and friction angle of the Mohr-Coulomb rock material characterizes the post-peak strength behavior of the rock.The resulting expressions are simplistic as they require parameters that can be easily determined using uniaxial and triaxial compression results.Eventually,the developed model was validated by simulating the triaxial tests of coal specimens with different sizes under varying confining stresses and comparing its findings with the published test results.The study showed that its implementation in the numerical model could reproduce laboratory-observed mechanical response,deformation behavior,and failure mechanism very closely.

关键词： Strain softening Dilatancy Interface Shape effect Residual strength

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Multidisciplinary approach toward enhanced recovery after surgery for total knee arthroplasty improves outcomes

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World Journal of Clinical Cases 2024年第9期12卷 1549-1554页

作者： Deb sanjay Nag Amlan Swain Seelora Sahu Ayaskant Sahoo Gunjan Wadhwa Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India Department of Anaesthesiology Manipal Tata Medical CollegeJamshedpur 831001India

Knee osteoarthritis is a degenerative disorder of the knee,which leads to joint pain,stiffness,and inactivity and significantly affects the quality of life.With an increased prevalence of obesity and greater life expectancies,total knee arthroplasty(TKA)is now one of the major arthroplasty surgeries performed for knee osteoarthritis.When enhanced recovery after surgery(ERAS)was introduced in TKA,clinical outcomes were enhanced and the economic burden on the healthcare system was reduced.ERAS is an evidence-based scientific protocol aimed at ameliorating the surgical stress response.ERAS aims to enhance the recovery phase,which encompasses multidisciplinary strategies at every step of perioperative care,including the rehabilitation phase.Implementation of ERAS in TKA aids in reducing the length of hospital stay,improving pain management,reducing perioperative complications,and enhancing patient satisfaction.Multidisciplinary collaboration,integrating the expertise of anesthesiologists,orthopedic surgeons,nursing personnel,and other healthcare professionals,is the cornerstone of ERAS in patients undergoing TKA.

关键词： Arthroplasty Replacement Knee Recovery of function Anesthesia Care Nursing

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Pain management in chronic pancreatitis

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World Journal of Clinical Cases 2024年第12期12卷 2016-2022页

作者： Deb sanjay Nag Bhanu Pratap Swain Rishi Anand Tapas Kumar Barman Vatsala Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India

Pain in chronic pancreatitis(CP)is difficult to manage.Many patients suffer from inadequate pain relief,completely incapacitating them in their daily activities.Historically,despite their well-known adverse effects,opioids have been the pillar of treatment regimens in painful CP.The management is now gradually evolving with a better understanding of the underlying pathophysiology of CP-related pain.Clinicians should follow a holistic approach to the management of CPassociated pain,which must involve lifestyle changes that are coupled with analgesic medications and other pain-relieving interventions.Furthermore,there is no easy cure for vanquishing CP-associated pain.Each patient must be evaluated on a case-by-case basis by a multidisciplinary team to decide which treatment option is best suited for that individual.

关键词： Pancreatitis Abdominal pain Palliative care Analgesics Life style Psychology

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Resistance and resilience of soil biological indicators:A case study with multi-walled carbon nanotube

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Pedosphere 2024年第3期34卷 664-675页

作者： Shagufta YASMEEN Nintu MANDAL Anupam DAS Pritam GANGULY sanjay KUMAR Rajiv RAKSHIT Department of Soil Science and Agricultural Chemistry Bihar Agricultural UniversitySabourBhagalpur 813210(India) Department of Agronomy Bihar Agricultural UniversitySabourBhagalpur 813210(India)

Soil ecosystem is experiencing stresses due to climate change,and soil inhabitants try to demonstrate their inherent resistance and resilience against those stresses.Application of nanomaterials as agricultural inputs could bring shifts in resistance and resilience patterns of soil microbes and associated enzymes,especially under short-term heat stress.With this background,the impacts of multi-walled carbon nanotube(MWCNT)on the resistance and resilience of soil biological indicators were evaluated.An incubation experiment was conducted with varied MWCNT concentrations(0,50,100,250,and 500 mg kg-1soil)for 90 d after 24-h heat stress at 48±2?C to assess the impacts of MWCNT on soil enzyme activities and microbial populations vis-à-vis their resistance and resilience indices under short-term exposure to heat stress.Enzyme activities were reduced after exposure to heat stress.Resistance indices of enzyme activities were enhanced by MWCNT application on day 1 after heat stress,whereas there was no recovery of enzyme activities after 90-d incubation.Like soil enzyme activities,resistance index values of soil microbial populations followed the similar trend and were improved by MWCNT application.Multi-walled carbon nanotube has the potential to improve resistance indices of soil enzyme activities and microbial populations under heat stress,although they could not recover to their original state during periodical incubation after heat stress.This study helps to understand the relative changes of biological indicators under MWCNT and their ability to withstand heat stress.

关键词： enzyme activity heat stress microbial population nanomaterial recovery

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Dengue causing relapse of minimal change disease: A double-edged sword

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Asian Pacific Journal of Tropical Medicine 2024年第5期17卷 237-238页

作者： Sourabh Sharma Himanshu Verma sanjay Kalra Department of Nephrology VMMC&Safdarjung HospitalNew DelhiIndia Department of Endocrinology Bharti HospitalKarnalIndia

Dengue virus infection is endemic in India with seasonal variations.It can lead to lethal consequences with plasma leakage and/or bleeding[1,2].Dengue shock syndrome has high mortality in developing countries like India.Dengue can cause functional proteinuria and even heavy proteinuria[3-6].Though dengue has been implicated to cause glomerulonephritis[7],to the best of our knowledge,dengue as a cause of relapse of minimal change disease(MCD)has not been reported.

关键词： relapse mortality bleeding

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Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection

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Computers, Materials & Continua 2024年第2期78卷 2441-2468页

作者： Vaishnawi Priyadarshni sanjay Kumar Sharma Mohammad Khalid Imam Rahmani Baijnath Kaushik Rania Almajalid Department of Computer Science Gautam Buddha UniversityGreater NoidaUttar PradeshIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computer Science Shri Vaishno Devi UniversityKatraIndia

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in women.Early detection and effective treatment of BC can help save women’s lives.Developing an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection techniques.This paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging Subset of the Digital Database for Screening Mammography(CBIS-DDSM)data set.The novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated dataset.The analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

关键词： Autoencoder breast cancer deep neural network convolutional neural network image processing machine learning deep learning

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Pitfalls in internal jugular vein cannulation

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World Journal of Clinical Cases 2024年第10期12卷 1714-1717页

作者： Deb sanjay Nag Amlan Swain Seelora Sahu Bhanu Pratap Swain Merina Sam Department of Anaesthesiology Tata Main HospitalJamshedpur 831001JharkhandIndia

Central venous catheter insertion in the internal jugular vein(IJV)is frequently performed in acute care settings,facilitated by its easy availability and increased use of ultrasound in healthcare settings.Despite the increased safety profile and insertion convenience,it has complications.Herein,we aim to inform readers about the existing literature on the plethora of complications with potentially disastrous consequences for patients undergoing IJV cannulation.

关键词： Catheterization Central venous Complications Thoracic duct Arteriovenous fistula Vocal cord paralysis Pneumothorax Cardiac tamponade

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Relevance of sleep for wellness:New trends in using artificial intelligence and machine learning

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World Journal of Clinical Cases 2024年第7期12卷 1196-1199页

作者： Deb sanjay Nag Amlan Swain Seelora Sahu Abhishek Chatterjee Bhanu Pratap Swain Department of Anaesthesiology Tata Main HospitalJamshedpur 831001JharkhandIndia

Sleep and well-being have been intricately linked,and sleep hygiene is paramount for developing mental well-being and resilience.Although widespread,sleep disorders require elaborate polysomnography laboratory and patient-stay with sleep in unfamiliar environments.Current technologies have allowed various devices to diagnose sleep disorders at home.However,these devices are in various validation stages,with many already receiving approvals from competent authorities.This has captured vast patient-related physiologic data for advanced analytics using artificial intelligence through machine and deep learning applications.This is expected to be integrated with patients’Electronic Health Records and provide individualized prescriptive therapy for sleep disorders in the future.

关键词： Sleep initiation and maintenance disorders Sleep apnea Obstructive Machine learning Artificial intelligence Algorithms

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Perioperative cardiac risks in myasthenia gravis

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World Journal of Clinical Cases 2024年第13期12卷 2147-2150页

作者： Deb sanjay Nag Abhishek Chatterjee Pratap Rudra Mahanty Merina Sam Murari Kumar Bharadwaj Department of Anaesthesiology Tata Main HospitalJamshedpur 831001India Department of Anaesthesiology Manipal Tata Medical CollegeJamshedpur 831017India

Myasthenia gravis(MG)is an autoimmune disorder that affects the neuromuscular junction.The primary pathology in MG involves the presence of autoantibodies to acetylcholine receptors(AChRs),which results in qualitative and quantitative reductions in the availability of functional AChRs.Cardiac muscles are also affected,resulting in various perioperative cardiac complications.Antistriational antibodies are commonly reported in MG cases with cardiac involvement.In the presence of thymoma,the prevalence of cardiac manifestations in patients with MG increases to approximately 10%-15%.Cardiac involvement in MG may range from asymptomatic electrocardiogram changes to ventricular tachycardia,myocarditis,conduction disorders,heart failure,and sudden death.Increased incidence of atrial fibrillation,ventricular and supraventricular extra systoles,and prolonged QTc have also been reported in patients with MG.Clinicians should consider the evaluation of autonomic dysfunction and risk of cardiovascular disease in patients with MG.

关键词： Myasthenia Gravis Perioperative period Receptors Cholinergic Anesthesia

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