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Hepatocardiorenal syndrome in liver cirrhosis:Recognition of a new entity?

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World Journal of Gastroenterology 2024年第2期30卷 128-136页

作者： Henry H L Wu Amina Rakisheva Arvind Ponnusamy rajkumar Chinnadurai Renal Research Kolling Institute of Medical ResearchRoyal North Shore Hospital&The University of SydneySt.Leonards(Sydney)2065New South WalesAustralia Department of Cardiology City Cardiological CenterAlmaty 050000Kazakhstan Department of Renal Medicine Royal Preston HospitalPreston PR29HTUnited Kingdom Donal O’Donoghue Renal Research Centre&Department of Renal Medicine Northern Care Alliance National Health Service Foundation TrustSalford M68HDUnited Kingdom

Emerging evidence and perspectives have pointed towards the heart playing an important role in hepatorenal syndrome(HRS),outside of conventional understanding that liver cirrhosis is traditionally considered the sole origin of a cascade of pathophysiological mechanisms directly affecting the kidneys in this *** the absence of established heart disease,cirrhotic cardiomyopathy may occur more frequently in those with liver cirrhosis and kidney *** is a specific form of cardiac dysfunction characterized by blunted contractile responsiveness to stress stimuli and altered diastolic relaxation with electrophysiological *** the clinical description of these potential cardiac-related complications of the liver,the role of the heart has traditionally been an overlooked aspect of circulatory dysfunction in *** from a physiological sense,temporality(prior onset)of cardiorenal interactions in HRS and positive effects stemming from portosystemic shunting demonstrated an important role of the heart in the development and progression of kidney dysfunction in cirrhotic *** this review,we discuss current concepts surrounding how the heart may influence the development and progression of HRS,and the role of systemic inflammation and endothelial dysfunction causing circulatory dysfunction within this *** temporality of heart and kidney dysfunction in HRS will be *** a subgroup of patients who receive portosystemic shunting,the dynamics of cardiorenal interactions following treatment is *** research to determine the unknowns in this topic is anticipated,hopefully to further clarify the intricacies surrounding the liver-heart-kidney connection and improve strategies for management.

关键词： Hepatorenal syndrome Cardiorenal syndrome Cirrhosis Cardiac dysfunction Circulatory dysfunction

Effect of Mo and ZrO_(2)nanoparticles addition on interfacial properties and shear strength of Sn58Bi/Cu solder joint

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Transactions of Nonferrous Metals Society of China 2024年第8期34卷 2619-2628页

作者： Amares SINGH Hui Leng CHOO Wei Hong TAN rajkumar DURAIRAJ School of Engineering Faculty of Innovation&TechnologyTaylor’s UniversitySubang Jaya47500SelangorMalaysia Faculty of Mechanical Engineering&Technology Universiti Malaysia Perlis(UniMAP)Pauh Putra Campus02600 ArauPerlisMalaysia Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul RahmanJalan Sungai LongBandar Sungai Long43000 KajangSelangorMalaysia

The influence of Mo and ZrO_(2)nanoparticles addition on the interfacial properties and shear strength of Sn58Bi solder joint was *** interfacial microstructures of Sn58Bi/Cu,Sn58Bi+Mo/Cu and Sn58Bi+ZrO_(2)/Cu solder joints were analysed using a scanning electron microscope(SEM)coupled with energy dispersive X-ray(EDX)and the X-ray diffraction(XRD).Intermetallic compounds(IMCs)of MoSn_(2)are detected in the Sn58Bi+Mo/Cu solder joint,while SnZr,Zr_(5)Sn_(3),ZrCu and ZrSn_(2)are detected in Sn58Bi+ZrO_(2)/Cu solder *** layers for both composite solders comprise of Cu_(6)Sn_(5) and Cu_(3)*** SEM images of these layers were used to measure the IMC layer’s *** average IMC layer’s thickness is 1.4431μm for Sn58Bi+Mo/Cu and 0.9112μm for Sn58Bi+ZrO_(2)/Cu solder *** strength of the solder joints was investigated via the single shear lap test *** average maximum load and shear stress of the Sn58Bi+Mo/Cu and Sn58Bi+ZrO_(2)/Cu solder joints are increased by 33%and 69%,respectively,as compared to those of the Sn58Bi/Cu solder *** comparing both composite solder joints,the latter prevails better as adding smaller sized ZrO_(2)nanoparticles improves the interfacial properties granting a stronger solder joint.

关键词： lead-free solder interfacial microstructure IMC layer thickness shear strength dislocation density ZrO_(2)nanoparticles Mo nanoparticles

Exploring the Reasons for Selfie-Taking and Selfie-Posting on Social Media with Its Effect on Psychological and Social Lives:A Study among Indian Youths

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International Journal of Mental Health Promotion 2024年第5期26卷 389-398页

作者： Divya P.Vijayan Tokani Ghuhato Eslavath rajkumar Allen Joshua George Romate John John Abraham Department of Psychology Central University of KarnatakaKalaburagi585367India Department of Liberal Arts Indian Institute of Technology BhilaiChhattisgarh491002India Liberal Arts&Sciences Indian Institute of Management RanchiJharkhand834001India Department of Family Medicine/Geriatrics St.John’s National Academy of Health SciencesBangalore560034India

‘Selfie’taking was introduced to the common people by smartphones and has become a common practice across the globe in no *** technological advancement and the popularity of smartphones,selfie-taking has grown rapidly within a short *** light of the new trend set by the generation,this study aimed to explore reasons for selfie-taking and selfie-posting on social media and their effects on the social and psychological lives of young adults.A purposive sampling method was adopted to select 20 Indian citizens,between 18 and 24 *** data were collected through semi-structured interviews and analysed using thematic ***-taking and posting on social media give positive feelings,and it acts as a mood modifier dependent mostly on the favourability and feedback about the post which in turn affects emotions and self-satisfaction.

关键词： Selfie social media social networking sites obsessive selfie-taking Indian youth

A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction

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Computer Systems Science & Engineering 2024年第5期48卷 1085-1112页

作者： Varada rajkumar Kukkala Surapaneni Phani Praveen Naga Satya Koti Mani Kumar Tirumanadham Parvathaneni Naga Srinivasu Department of Computer Science&Engineering(AIML) MLR Institute of TechnologyHyderabad500043India Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawada520007India Department of Computer Science&Engineering Sir C.R.Reddy College of EngineeringEluru534001India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravati522503India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil

This paper investigates the application ofmachine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely;Z-Score incorporated with GreyWolf Optimization(GWO)as well as Interquartile Range(IQR)coupled with Ant Colony Optimization(ACO).Using a performance index,it is shown that when compared with the Z-Score and GWO with AdaBoost,the IQR and ACO,with AdaBoost are not very accurate(89.0%vs.86.0%)and less discriminative(Area Under the Curve(AUC)score of 93.0%vs.91.0%).The Z-Score and GWO methods also outperformed the others in terms of precision,scoring 89.0%;and the recall was also found to be satisfactory,scoring 90.0%.Thus,the paper helps to reveal various specific benefits and drawbacks associated with different outlier detection and feature selection techniques,which can be important to consider in further improving various aspects of diagnostics in cardiovascular ***,these findings can enhance the knowledge of heart disease prediction and patient treatment using enhanced and innovativemachine learning(ML)*** findings when combined improve patient therapy knowledge and cardiac disease prediction through the use of cutting-edge and improved machine learning *** work lays the groundwork for more precise diagnosis models by highlighting the benefits of combining multiple optimization *** studies should focus on maximizing patient outcomes and model efficacy through research on these combinations.

关键词： Grey wolf optimization ant colony optimization Z-Score interquartile range(IQR) AdaBoost outlier

Rare Case of Large Anterior Meningocele Associated with Uterine Didelphys

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Open Journal of Modern Neurosurgery 2024年第2期14卷 104-107页

作者： Joseph Maalouly Matt Wilson Sanjay Adusumilli Vijidha rajkumar Shanu Gambhir Department of Neurosurgery Norwest Private Hospital Bella Vista Australia Department of Obstetrics and Gynecology Norwest Private Hospital Bella Vista Australia Department of General Surgery Norwest Private Hospital Bella Vista Australia

We report a 27-year-old female who presented with abdominal distension, saddle anesthesia, and lower back pain. CT and MRI of the abdomen/spine were performed which showed a large anterior sacral meningocele occupying most of the pelvic and abdominal cavity and displacement of their respective contents. Anterior approach was chosen, uterine didelphys was identified and mobilized, meningocele identified and gentle drainage with subsequent resection of the cyst wall and watertight closure was achieved. Subsequent MRI demonstrated resolution of most the sacral meningocele. Patient symptoms improved and are doing well.

关键词： Sacral Agenesis Curarino Triad Large Meningocele

Coordination of networking and computing: toward new information infrastructure and new services mode

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 629-632页

作者： Xiaoyun WANG Tao SUN Yong CUI rajkumar BUYYA Deke GUO Qun HUANG Hassnaa MOUSTAFA Chen TIAN Shangguang WANG China Mobile Communications Corporation Beijing 100032China China Mobile Research Institute Beijing 100053China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China CLOUDS Lab School of Computing and Information SystemsUniversity of MelbourneMelbourneVIC 3010Australia National Key Laboratory of Information Systems Engineering National University of Defense TechnologyChangsha 410073China School of Computer Science Peking UniversityBeijing 100871China Intel Corporation Santa ClaraCA 95054USA State Key Laboratory for Novel Sofiware Technology Nanjing UniversityNanjing 210023China State Key Laboratory of Networking and Switching Technology Bejing University of Posts and TelecommunicationsBeijing 100876China

Computing,serving as the cornerstone of information processing,plays a pivotal role in the digital service ***"network"and"computing,"responsible for information transmission and processing respectively,traditionally belong to different stakeholders and have evolved ***,the recent trend toward the coordination and integration of computing and networks has garnered significant attention from both industry and *** such as"computility network"and"computing force network"have emerged,and the International Telecommunication Union-Telecommunication Standardization(ITU-T)has initiated efforts to develop standards for the coordination of networking and computing(CNC),focusing on the architecture and framework.

关键词： computing services network

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.rajkumar S.Leelavathy Raju Kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

Native and transplant kidney histopathological manifestations in association with COVID-19 infection: A systematic review

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World Journal of Transplantation 2021年第11期11卷 480-502页

作者： vishnu Jeyalan Joshua Storrar Henry H L Wu Arvind Ponnusamy Smeeta Sinha Philip A Kalra rajkumar Chinnadurai Department of Renal Medicine Royal Preston HospitalPreston PR29HTUnited Kingdom Department of Renal Medicine Salford Care OrganisationNorthern Care Alliance NHS Foundation TrustSalford M68HDUnited Kingdom Faculty of Biology Medicine and HealthUniversity of ManchesterManchester M139PLUnited Kingdom

BACKGROUND Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)can result in clinically significant multi-system disease including involvement in the *** underlying histopathological processes were unknown at the start of the *** case reports and series have been published describing the underlying renal histopathology from kidney biopsies,we have started to gain an insight into the renal manifestations of this novel *** To provide an overview of the current literature on the renal histopathological features and mechanistic insights described in association with coronavirus disease 2019(COVID-19)*** A systematic review was performed by conducting a literature search in the following websites-‘PubMed’,‘Web of Science’,‘Embase’and‘Medline-ProQuest’with the following search terms-“COVID-19 AND kidney biopsy”,“COVID-19 AND renal biopsy”,“SARS-CoV-2 AND kidney biopsy”and“SARS-CoV-2 AND renal biopsy”.We have included published data up until February 15,2021,which includes kidney biopsies(native,transplant and postmortem)from patients with *** on clinical presentation,histopathological features,management and outcome was extracted from the reported *** The total number of biopsies reported on here is 288,of which 189 are postmortem,84 native and 15 *** results are varied and show underlying pathologies ranging from collapsing glomerulopathy and acute tubular injury(ATI)to anti-nuclear cytoplasmic antibody associated vasculitis and pigment *** was variation in the specific treatment used for the various renal conditions,which included steroids,hydroxychloroquine,eculizumab,convalescent plasma,rituximab,anakinra,cyclophosphamide and renal replacement therapy,amongst *** pathological process which occurs in the kidney following COVID-19 infection and leads to the described biopsy findings has been hypothesized in some conditions but not others(for example,sepsis related hypoperf

关键词： COVID-19 Histopathology Kidney biopsy Transplant SARS-CoV-2

STOCHASTIC SYNCHRONIZATION OF CIRCADIAN RHYTHMS

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Journal of Systems Science & Complexity 2010年第5期23卷 978-988页

作者： rajkumar Brojen SINGH Vikram SINGH Ram RAMASWAMY Centre for Interdisciplinary Research in Basic Sciences Jamia Milia Islamia New Delhi 110025 India Center for Computational Biology and Bioinformatics School of Information Technology Jawaharlal Nehru University New Delhi 110067 India Center for Computational Biology and Bioinformatics School of Information Technology and School of Physical Sciences Jawaharlal Nehru University New Delhi 110067 India

Models of circadian genetic oscillators involving interlinked feedback processes in molecular level genetic networks in Drosophila melanogaster and Neurospora crassa are studied, and mechanisms whereby synchronization can arise in an assembly of cells are examined. The individual subcellular circadian oscillatory processes are stochastic in nature due to the small numbers of molecules that are involved, and are subject to large fluctuations. The authors investigate and present the simulations of the stochastic dynamics of ensembles of clock-regulating proteins in different nuclei that communicate via ancillary small molecules, environmental parameters, additive cellular noise, or through diffusive processes. The results show that the emergence of collective oscillations is a macroscopic observable which has its origins in the microscopic coupling between distinct cellular oscillators.

关键词： Coupling stochastic dynamics synchrony.