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Functional Verification of Signature Detection Architectures for High Speed Network Applications

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International Journal of Automation and computing 2012年第4期9卷 395-402页

作者： m.arun A.Krishnan Department of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology K.S.Rangasamy College of Technology

To meet the future internet traffic challenges, enhancement of hardware architectures related to network security has vital role where software security algorithms are incompatible with high speed in terms of Giga bits per second (Gbps). In this paper, we discuss signature detection technique (SDT) used in network intrusion detection system (NIDS). Design of most commonly used hardware based techniques for signature detection such as finite automata, discrete comparators, Knuth-morris-Pratt (KmP) algorithm, content addressable memory (CAm) and Bloom filter are discussed. Two novel architectures, XOR based pre computation CAm (XPCAm) and multi stage look up technique (mSLT) Bloom filter architectures are proposed and implemented in third party field programmable gate array (FPGA), and area and power consumptions are compared. 10Gbps network traffic generator (TNTG) is used to test the functionality and ensure the reliability of the proposed architectures. Our approach involves a unique combination of algorithmic and architectural techniques that outperform some of the current techniques in terms of performance, speed and powerefficiency.

关键词： Signature detection network intrusion detection system (NIDS) content addressable memory (CAm) Bloom filter network security

Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh

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Data Intelligence 2024年第3期6卷 834-868页

作者： m.Raihan Sami Azam Laboni Akter md.mehedi Hassan Ryana Quadir Asif Karim Saikat mondal arun more Department of Computer Science and Engineering North Western UniversityKhulna 9100Bangladesh Faculty of Science and Technology Charles Darwin UniversityNT 0909Australia Departmentof Biomedical Engineering Khulna University of Engineering&TechnologyKhulnaBangladeh Computer Science and Engineering Discipline Khulna UniversityKhulna 9208Bangladesh Department of Computer Science and Engineering Daffodil International University(DIU)Bangladesh Department of Cardiology Ter Institute of Rural Health and ResearchMurud-413510India

Ischemic heart disease(IHD)is one of the leading causes of death ***,different geographic regions show different variations of the risk factors of this disease based on the different lifestyles of *** study examines the current IHD condition in southern Bangladesh,a Southeast Asian middle-income *** main approach to this research is an Al-based proposal of a reduced set of the greatest impact clinical traits that may cause *** approach attempts to reduce IHD morbidity and mortality by early detection of risk factors using the reduced set of clinical ***,diagnostic,and symptomatic features were considered for analysing this clinical *** pre-processing utilizes several machine learning techniques to select significant features and make meaningful interpretations.A proposed voting mechanism ranked the selected 138 features by their impact *** this regard,diverse patterns in correlations with variables,including age,sex,career,family history,obesity,etc.,were calculated and explained in terms of voting *** the 138 risk factors,three labels were categorized:high-risk,medium-risk,and low-risk features;19 features were regarded as high,25 were medium,and 94 were considered low impactful *** research's technological methodology and practical goals provide an innovative and resilient framework for addressing IHD,especially in less developed cities and townships of Bangladesh,where the general population's socioeconomic conditions are often *** data collection,pre-processing,and use of this study's complete and comprehensive IHD patient dataset is another innovative *** believe that other relevant research initiatives will benefit from this work.

关键词： Ischemic heart disease machine learning CVD Data categorization medical data

Bilateral nephrolithiasis and upper tract transitional cell carcinoma in horseshoe kidney

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Current Urology 2024年第3期18卷 247-249页

作者： Jacob m.Gaines Eric J.macdonald arun Rai David Hoenig Arthur Smith Zeph Okeke Tareq Aro The Smith Institute for Urology Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellLake SuccessNYUSA

Nephroureterectomy is currently the criterion-standard treatment for high-grade upper tract urothelial carcinoma(UTUC).Current guidelines and expert opinions propose some exceptions to this approach based on patient characteristics,disease status,and function of the contralateral *** present a rare case of a patient with horseshoe kidney,bilateral large nephrolithiasis,high-grade UTUC in one moiety,and relative parenchymal thinning of the contralateral *** patient was treated with a percutaneous,minimally invasive,nephron sparing *** patient also had intracollecting system instillations of gemcitabine and *** invasive percutaneous resection of high-grade UTUC is a safe procedure in select *** guidelines may not apply to all patients;unique scenarios with UTUC may require personalized decision-making and treatment at specialized centers.

关键词： Upper tract urothelial cancer Percutaneous resection Horseshoe kidney Nephrolithiasis

Old-growth mixed dipterocarp forests show variable losses and gains in aboveground biomass and standing carbon over forty years

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Forest Ecosystems 2024年第1期11卷 14-23页

作者： Sisira Ediriweera Champika Bandara Tithira Lakkana Shanika Jayasinghe David Woodbury arun Dayanandan B.m.P.Singhakumara Xiangcheng mi I.A.U.N.Gunatilleke C.V.S.Gunatilleke mark SAshton Department of Science and Technology Uva Wellassa UniversityBadullaSri Lanka The Forest School Yale School of the EnvironmentYale UniversityNew HavenCT06511USA Department of Forestry and Environmental Science University of Sri JayewardenepuraNugegodaSri Lanka State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing100093China Botany Department University of PeradeniyaPeradeniyaSri Lanka

Background:No studies have documented long-term trends in aboveground biomass(AGB)for mixed-dipterocarp forests(mDF),the dominant rain forest type in tropical wet equatorial *** our study,we sought to document such trends over forty years across three sites representing lowland to lower montane ***:To do this,we established fifty 100 m×25 m plots in 1978 across three sites sampled along an elevation gradient,identified as mature old-growth *** measured trees for diameter at breast height that we identified to species and *** took wood samples to calculate species wood-specific *** re-measured plots in 1998 and again in ***:We show standing AGB for all sites combined to be 517.52 mg·ha^(-1)in 1978,but this declined by 17%over 40 years to 430.11 mg·ha^(-1).No differences exist among sites in AGB primarily because of considerable within site variation;but interactions of time with site show declines across sites were not uniform,one remained about the *** few species represented a high proportion of the AGB with the top five species comprising between 34%and 65%,depending upon site and year *** species,mesua nagassarium,represented a disproportionately large amount of AGB and decline over time,particularly at the low elevation ***:Our results are directly relevant to estimating AGB and standing carbon sequestered in *** study is the first to demonstrate varying but overall,declining trends in amounts of AGB among forests making predictions of biomass and standing carbon in mDF difficult over wide regions.

关键词： Western ghats Shorea spp. Southeast Asia Sri Lanka Tropical rain forest Wood specific gravity

Development,validation,and transportability of several machine-learned,non-exercise-based VO_(2max)prediction models for older adults

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Journal of Sport and Health Science 2024年第5期13卷 611-620页

作者： Benjamin T.Schumacher michael J.Lamonte Andrea Z.LaCroix Eleanor m.Simonsick Steven P.Hooker Humberto Parada Jr. John Bellettiere arun Kumar Herbert Wertheim School of Public Health and Human Longevity Science University of California San DiegoLa JollaCA 92093USA Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at BuffaloState University of New YorkBuffaloNY 14214USA Translational Gerontology Branch Intramural Research ProgramNational Institute on AgingNational Institutes of HealthBaltimoreMD 21225USA College of Health and Human Services San Diego State UniversitySan DiegoCA 92182USA Division of Epidemiology and Biostatistics School of Public HealthSan Diego State UniversitySan DiegoCA 92182USA University of California San Diego moores Cancer Center La JollaCA 92093USA Computer Science and Engineering and Halicioglu Data Science Institute University of California San DiegoLa JollaCA 92093USA

Background:There exist few maximal oxygen uptake(VO_(2max))non-exercise-based prediction equations,fewer using machine learning(mL),and none specifically for older *** direct measurement of VO_(2max)is infeasible in large epidemiologic cohort studies,we sought to develop,validate,compare,and assess the transportability of several mL VO_(2max)prediction ***:The Baltimore Longitudinal Study of Aging(BLSA)participants with valid VO2_(max)tests were included(n=1080).Least absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine(SVm)algorithms were trained to predict VO_(2max)*** developed these algorithms for:(a)the overall BLSA,(b)by sex,(c)using all BLSA variables,and(d)variables common in aging ***,we quantified the associations between measured and predicted VO_(2max)and ***:The age was 69.0±10.4 years(mean±SD)and the measured VO_(2max)was 21.6±5.9 mL/kg/*** absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine yielded root mean squared errors of 3.4 mL/kg/min,3.6 mL/kg/min,3.4 mL/kg/min,3.6 mL/kg/min,and 3.5 mL/kg/min,*** quartiles of measured VO_(2max)showed an inverse gradient in mortality *** VO_(2max)variables yielded similar effect estimates but were not robust to ***:measured VO_(2max)is a strong predictor of *** mL can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to *** studies should seek to reproduce these results so that VO_(2max),an important vital sign,can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.

关键词： Cardiorespiratory fitness Prediction algorithms Epidemiology mortality

Corrigendum to'Cancer chemotherapy and beyond:Current status,drug candidates,associated risks and progress in targeted therapeutics'[Genes&Diseases 10(2023)1367-1401]

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Genes & Diseases 2024年第4期11卷 426-427页

作者： Uttpal Anand Abhijit Dey Arvind K.Singh Chandel Rupa Sanyal Amarnath mishra Devendra Kumar Pandey Valentina De Falco arun Upadhyay Ramesh Kandimalla Anupama Chaudhary Jaspreet Kaur Dhanjal Saikat Dewanjee Jayalakshmi Vallamkondu Jose m.Perez de la Lastra Department of Life Sciences Ben-Gurion University of the NegevBeer-Sheva 84105Israel Department of Life Sciences Presidency UniversityKolkataWest Bengal 700073India Center for Disease Biology and Integrative medicine Faculty of MedicineThe University of TokyoTokyo 113-0033Japan Department of Botany Bhairab Ganguly College(affliated to West Bengal State University)KolkataWest Bengal 700056India Faculty of Science and Technology Amity Institute of Forensic SciencesAmity University Uttar PradeshNoida 201313India Department of Biotechnology School of Bioengineering and BiosciencesLovely Professional UniversityPhagwaraPunjab 144411India Institute of Endocrinology and Experimental Oncology(IEOS) National Research Council(CNR)Department of Molecular Medicine and Medical Biotechnology(DMMBM)University of Naples FedericoⅡNaples 80131Italy Department of Biochemistry School of Life SciencesCentral University of RajasthanBandar SindariKishangarhAjmerRajasthan 305817India CSiR-indian Institute of Chemical Technology HyderabadTelangana 500007India Department of Biochemistry Kakatiya Medical CollegeWarangalTelangana 506007India Orinin-BioSystems LE-52Lotus Road 4CHD CityKarnalHaryana 132001India Department of Computational Biology Indraprastha Institute of Information Technology Delhi(ⅢT-D)Okhla Industrial EstatePhaseⅢNew Delhi 110020India Advanced Pharmacognosy Research Laboratory Department of Pharmaceutical TechnologyJadavpur UniversityKolkata 700032India Department of Physics National Institute of Technology-WarangalWarangalTelangana 506004India Biotechnology of macromolecules Research Group Instituto de Productos Naturales y AgrobiologiaIPNA-CSICSan Cristobal de La Laguna 38206TenerifeSpain

In the published article,there was an error in the affiliation information about the first author Uttpal Anand[a].Instead of"Department of Life Sciences,Ben-Gurion University of the Negev,Beer-Sheva 84105,Israel",it should be"CytoGene Research&Development LLP,K-51,UPSIDA Industrial Area,Kursi Road(Lucknow),***,225001,Uttar Pradesh,India".The authors would like to apologize for any inconvenience caused and state that this does not change the scientific conclusions of thearticle inanyway.

关键词： Cancer Cor targeted

Effect of simvastatin on paraoxonase 1(PON1) activity and oxidative stress

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Asian Pacific Journal of Tropical medicine 2010年第4期3卷 310-314页

作者： arun Kumar Department of Biochemistry College of MedicineThe West Bengal University of Health SciencesKalyaniNadia Pin:741235

Objective:To investigate the effect of simvastatin treatment on lipid pr of ile and oxidative stress in hypercholesterolaemic Indian population and determine the effect of simvastatin treatment on the activity of paraoxonase（PON）.methods:Analyzed initially before medication administration and four months later after *** and lipoprotein measurement were done by enzymatic kits,high density lipoprotein（HDL） was determined by phosphotungstic acid precipitation method and low density lipoprotein（LDL） was calculated by Friedewald’s *** peroxidation was measured by three markers namely,conjugated diene,total peroxide,and *** diene was assayed by Buege and Aust *** peroxide was determined by FOX2 *** determination was carried out by Flemming method and total antioxidant status was determined by *** activity was determined by measuring the absorbance inrease of p-nitrophenol at 405 *** activity was calculated from the molar coefficient of 1 310 m-1 cm-1.Results:Simvastatin significantly reduced total cholesterol,triglycerides,LDL,conjugated diene,total peroxide and mDA levels,where as antioxidant status was significantly ***,simvastatin significantly increased PON1 activity towards ***:The results from the current study indicate simvastatin may have important antioxidant properties via increasing PON activity.

关键词： Hypercholesterolaemia Simvastatin Oxidative stress India

International consensus guidelines on robotic pancreatic surgery in 2023

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Hepatobiliary Surgery and Nutrition 2024年第1期13卷 89-104页

作者： Rong Liu mohammed Abu Hilal marc G.Besselink Thilo Hackert Chinnusamy Palanivelu Yupei Zhao Jin He Ugo Boggi Jin-Young Jang Fabrizio Panaro Brian K.P.Goh mikhail Efanov Yuichi Nagakawa Hong-Jin Kim Xiaoyu Yin Zhiming Zhao Yi-ming Shyr Shridhar Iyer Eli Kakiashvili Ho-Seong Han Jae Hoon Lee Roland Croner marco Vito marino arun Prasad Wei Wang Songqing He Kehu Yang Qu Liu Zizheng Wang mengyang Li Shuai Xu Kongyuan Wei Zhaoda Deng Yuze Jia Tess m.E.van Ramshorst Faculty of Hepatopancreatobiliary Surgery The First Medical Center of Chinese People’s Liberation Army(PLA)General HospitalBeijingChina Department of Surgery Poliambulanza Foundation HospitalBresciaItaly Department of Surgery University Hospital Southampton NHS Foundation TrustSouthamptonUK Amsterdam UmC location University of AmsterdamDepartment of SurgeryAmsterdamThe Netherlands Cancer Center Amsterdam AmsterdamThe Netherlands Department of General Visceral and Thoracic SurgeryUniversity Hospital Hamburg-EppendorfHamburgGermany Department of minimal Invasive Hernia Surgery GEM Hospital and Research CentreChennaiTamil NaduIndia Department of General Surgery Peking Union Medical College Hospital BeijingBeijingChina Department of Surgery Johns Hopkins University School of MedicineBaltimoreMDUSA Division of General and Transplant Surgery University of PisaPisaItaly Department of Surgery Seoul National University HospitalSeoul National University College of MedicineSeoulKorea Department of Surgery/Division of HBP Surgery&Transplantation University of MontpellierMontpellierFrance Department of Hepatopancreatobiliary and Transplant Surgery Singapore General Hospital and National Cancer Centre SingaporeSingaporeSingapore Department of Hepato-Pancreato-Biliary Surgery Moscow Clinical Scientific CenterMoscowRussia Department of Gastrointestinal and Pediatric Surgery Tokyo Medical UniversityShinjukuTokyoJapan Department of Surgery Yeungnam University College of MedicineDaeguKorea Department of Pancreato-Biliary Surgery The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouChina 18 Division of Hepatobiliary Pancreatic Surgery and Liver TransplantationNational University HospitalSingaporeSingapore Department of Surgery Galilee Medical CenterNahariyaIsrael Department of Surgery Seoul National University Bundang HospitalSeoul National University College of MedicineSeongnam-siKorea Division of Hepato-Biliary and Pancreatic Surgery Department of SurgeryAsan Medical Cente

Background:With the rapid development of robotic surgery,especially for the abdominal surgery,robotic pancreatic surgery(RPS)has been applied increasingly around the ***,evidence-based guidelines regarding its application,safety,and efficacy are still *** harvest robust evidence and comprehensive clinical practice,this study aims to develop international guidelines on the use of ***:World Health Organization(WHO)Handbook for Guideline Development,GRADE Grid method,Delphi vote,and the AGREE-II instrument were used to establish the Guideline Steering Group,Guideline Development Group,and Guideline Secretary Group,formulate 19 clinical questions,develop the recommendations,and draft the *** online meetings were held on 04/12/2020,30/11/2021,and 25/01/2022 to vote on the recommendations and get advice and suggestions from all involved *** the experts focusing on minimally invasive surgery from America,Europe and Oceania made great contributions to this consensus ***:After a systematic literature review 176 studies were included,19 questions were addressed and 14 recommendations were developed through the expert assessment and comprehensive judgment of the quality and credibility of the ***:The international RPS guidelines can guide current practice for surgeons,patients,medical societies,hospital administrators,and related social *** randomized trials are required to determine the added value of RPS as compared to open and laparoscopic surgery.

关键词： Robotic surgery guidelines pancreatectomy pancreaticoduodenectomy distal pancreatectomy(DP)

Big Data Analytics Using Swarm-Based Long Short-Term memory for Temperature Forecasting

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Computers, materials & Continua 2022年第5期71卷 2347-2361页

作者： malini m.Patil P.m.Rekha arun Solanki Anand Nayyar Basit Qureshi JSS Academy of Technical Education Bengaluru560060India Gautam Buddha University Greater Noida201312India Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam College of Computer&Info Sc Prince Sultan UniversitySaudi Arabia

In the past few decades,climatic changes led by environmental pollution,the emittance of greenhouse gases,and the emergence of brown energy utilization have led to global *** warming increases the Earth’s temperature,thereby causing severe effects on human and environmental conditions and threatening the livelihoods of millions of *** warming issues are the increase in global temperatures that lead to heat strokes and high-temperature-related diseases during the summer,causing the untimely death of thousands of *** forecast weather conditions,researchers have utilized machine learning algorithms,such as autoregressive integrated moving average,ensemble learning,and long short-term memory *** techniques have been widely used for the prediction of *** this paper,we present a swarm-based approach called Cauchy particle swarm optimization(CPSO)to find the hyperparameters of the long shortterm memory(LSTm)*** hyperparameters were determined by minimizing the LSTm validationmean square error *** optimized hyperparameters of the LSTm were used to forecast the temperature of Chennai *** proposed CPSO-LSTm model was tested on the openly available 25-year Chennai temperature *** experimental evaluation on mATLABR2020a analyzed the root mean square error rate and mean absolute error to evaluate the forecasted *** proposed CPSO-LSTm outperforms the traditional LSTm algorithm by reducing its computational time to 25 min under 200 epochs and 150 hidden neurons during *** proposed hyperparameter-based LSTm can predict the temperature accurately by having a root mean square error(RmSE)value of 0.250 compared with the traditional LSTm of 0.35 RmSE.

关键词： Climatic change big data temperature forecasting swarm intelligence deep learning