检索结果-南通市图书馆

Earthquake Engineering and Engineering Vibration 2021年第2期20卷 495-504页

作者： anand m.gharad Ranjan S.Sonparote Civil Engineering Department Shri Ramdeobaba College of Engineering and ManagementNagpur 440013India Department of Applied mechanics Visvesvaraya National Institute of TechnologyNagpur 440010India

In the railway bridge analysis and design method,dynamic train loads are regarded as static loads enhanced by an impact factor(IF).The IF coefficients for various railway bridges have been reported as a function of span length or frequency of the bridges in Eurocode(2003).However,these IF coefficient values neglect the effects of very high speeds(>200 km/h)and soil-structure interaction(SSI).In this work,a comprehensive study to assess the impact factor coefficients of mid-span vertical displacements for continuous and integral railway bridges subjected to high-speed moving loads is *** different configurations,each for the three-dimensional(3D)continuous and integral bridge,are ***,single-track(1-T)and two-track(2-T)“real train”loading cases for both these bridge types are ***,finite element analysis of the full-scale 3D bridge models,to identify their IF values,considering the effects of SSI for three different soil conditions,is *** IF values obtained from the study for both bridge types are comparable and are greater than the values recommended by Eurocode(2003).The results reveal that with a loss of soil stiffness,the IF value reduces;thus,it confirms the importance of SSI analysis.

关键词： impact factor dynamic soil-structure interaction high-speed moving loads finite element analysis continuous bridge integral bridge

Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection model

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, materials & Continua 2024年第3期78卷 3129-3150页

作者： Awais Ahmad Sohail Jabbar Sheeraz Akram anand Paul Umar Raza Nuha mohammed Alshuqayran College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudia Arabia 2 School of Computer Science and EngineeringKyungpook National UniversityDaegu41566South Korea 3 Department of EngineeringManchester Metropolitan UniversityManchesterM156BHUK

This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection *** proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice ***,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate *** research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader *** integration of voice-based interaction and impaired vision detection represents a novel approach to conversational ***,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual *** modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these ***,the solution places the user at its *** responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences.

关键词： Accessibility in conversational AI CNN-based impair vision detection ChatGPT voice-based interaction recommender system

A Novel Approach to Breast Tumor Detection: Enhanced Speckle Reduction and Hybrid Classification in Ultrasound Imaging

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, materials & Continua 2024年第5期79卷 1875-1901页

作者： K.Umapathi S.Shobana anand Nayyar Judith Justin R.Vanithamani miguel Villagómez Galindo mushtaq Ahmad Ansari Hitesh Panchal Department of Biomedical Engineering KIT-Kalaignarkarunanidhi Institute of TechnologyCoimbatore641402India Graduate School Faculty of Information TechnologyDuy Tan UniversityDa Nang550000Viet Nam Department of Biomedical and Instrumentation Engineering Avinashilingam Institute for Home Science and Higher Education forWomenCoimbatore641043India Universidadmichoacana de SanNicolás de HidalgoAvenida Francisco J.múgica S/N Ciudad Universitaria MoreliaCP58030Mexico Department of Pharmacology and Toxicology College of PharmacyKing Saud UniversityRiyadh11451Saudi Arabia Department of mechanical Engineering Gujarat Technological UniveristyNigam NagarChandkhedaAhmedabadGujarat382424India

Breast cancer detection heavily relies on medical imaging, particularly ultrasound, for early diagnosis and effectivetreatment. This research addresses the challenges associated with computer-aided diagnosis (CAD) of breastcancer fromultrasound images. The primary challenge is accurately distinguishing between malignant and benigntumors, complicated by factors such as speckle noise, variable image quality, and the need for precise segmentationand classification. The main objective of the research paper is to develop an advanced methodology for breastultrasound image classification, focusing on speckle noise reduction, precise segmentation, feature extraction, andmachine learning-based classification. A unique approach is introduced that combines Enhanced Speckle ReducedAnisotropic Diffusion (SRAD) filters for speckle noise reduction, U-NET-based segmentation, Genetic Algorithm(GA)-based feature selection, and Random Forest and Bagging Tree classifiers, resulting in a novel and efficientmodel. To test and validate the hybrid model, rigorous experimentations were performed and results state thatthe proposed hybrid model achieved accuracy rate of 99.9%, outperforming other existing techniques, and alsosignificantly reducing computational time. This enhanced accuracy, along with improved sensitivity and specificity,makes the proposed hybrid model a valuable addition to CAD systems in breast cancer diagnosis, ultimatelyenhancing diagnostic accuracy in clinical applications.

关键词： Ultrasound images breast cancer tumor classification segmentation deep learning lesion detection

Low-power SiPm readout BETA ASIC for space applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nuclear Science and Techniques 2024年第3期35卷 153-169页

作者： anand Sanmukh Sergio Gómez Albert Comerma Joan mauricio Rafel manera Andreu Sanuy Daniel Guberman Roger Catala Albert Espinya marina Orta Oscar de la Torre David Gascon Departament de Física Quàntica i Astrofísica(FQA) Institut de Ciències del Cosmos(ICCUB)Universitat de Barcelona(UB)08028 BarcelonaSpain Institut d’Estudis Espacials de Catalunya(IEEC) 08034 BarcelonaSpain Electronics Department Serra Hunter fellow at Polytechnic University of Catalonia(UPC)08019 BarcelonaSpain

The BETA application-specific integrated circuit(ASIC)is a fully programmable chip designed to amplify,shape and digitize the signal of up to 64 Silicon photomultiplier(SiPm)channels,with a power consumption of approximately~1 mW/*** to its dual-path gain,the BETA chip is capable of resolving single photoelectrons(phes)with a signal-to-noise ratio(SNR)>5 while simultaneously achieving a dynamic range of~4000 ***,BETA can provide a cost-effective solution for the readout of SiPms in space missions and other applications with a maximum rate below 10 *** this study,we describe the key characteristics of the BETA ASIC and present an evaluation of the performance of its 16-channel version,which is implemented using 130 nm *** ASIC also contains two discriminators that can provide trigger signals with a time jitter down to 400 ps FWHm for 10 *** linearity error of the charge gain measurement was less than 2%for a dynamic range as large as 15 bits.

关键词： Radiation detectors Silicon photomultipliers Photon sensors Front-end electronics mixed-mode ASICs Space technology

CD8+T cell metabolic flexibility elicited by CD28-ARS2 axisdriven alternative splicing of PKm supports antitumor immunity

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Cellular & molecular Immunology 2024年第3期21卷 260-274页

作者： G.Aaron Holling Colin A.Chavel anand P.Sharda mackenzie m.Lieberman Caitlin m.James Shivana m.Lightman Jason H.Tong Guanxi Qiao Tiffany R.Emmons Thejaswini Giridharan Shengqi Hou Andrew m.Intlekofer Richard m.Higashi Teresa W.m.Fan Andrew N.Lane Kevin H.Eng Brahm H.Segal Elizabeth A.Repasky Kelvin P.Lee Scott H.Olejniczak Department of Immunology Roswell Park Comprehensive Cancer CenterBuffaloNY 14263USA Department of medicine Roswell Park Comprehensive Cancer CenterBuffaloNY 14263USA Human Oncology and Pathogenesis Program Memorial Sloan Kettering Cancer CenterNew YorkNY 10065USA Center for Environmental Systems Biochemistry Department of Toxicology and Cancer Biology and Markey Cancer CenterLexingtonKY 40536USA Department of Cancer Genetics and Genomics Roswell Park Comprehensive Cancer CenterBuffaloNY 14263USA Present address:University of Colorado Boulder BoulderCO 80309USA Present address:Dana Farber Cancer Institute BostonMA 02215USA Present address:massachusetts Institute of Technology BostonMA 02139USA Present address:melvin and Bren Simon Comprehensive Cancer Center Indiana University School of MedicineIndianapolisIN 46202USA

metabolic flexibility has emerged as a critical determinant of CD8+T-cell antitumor activity,yet the mechanisms driving the metabolic flexibility of T cells have not been *** this study,we investigated the influence of the nuclear cap-binding complex(CBC)adaptor protein ARS2 on mature T *** doing so,we discovered a novel signaling axis that endows activated CD8+T cells with flexibility of glucose ***2 upregulation driven by CD28 signaling reinforced splicing factor recruitment to pre-mRNAs and affected approximately one-third of T-cell activation-induced alternative splicing *** these effects,the CD28-ARS2 axis suppressed the expression of the m1 isoform of pyruvate kinase in favor of PKm2,a key determinant of CD8+T-cell glucose utilization,interferon gamma production,and antitumor effector ***,PKm alternative splicing occurred independently of CD28-driven PI3K pathway activation,revealing a novel means by which costimulation reprograms glucose metabolism in CD8+T cells.

关键词： Immunometabolism mRNA splicing CD8 T cells ARS2 PKm2

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

Performance Enhancement of PV Based Boost Cascaded Fifteen Level Inverter for AC Loads

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2022年第7期42卷 165-181页

作者： m.P.Viswanathan B.anand Department of Electrical and Electronics Engineering Hindusthan College of Engineering and TechnologyCoimbatore641032India

In this research work,single-stageﬁfteen levels cascaded DC-interface converter(CDDCLC)is proposed for sun arranged photovoltaic technology(PV)*** proposed geography is joined with help DC chopper and H-associate inverter to upgrade the power converter to accomplish the diminished harmonic proﬁ*** assessment with the customary inverter structures,the proposed system is used with diminished voltage stress,decreased switch count and DC source *** proposed research work with cascaded DC link conver-ter design requires three DC sources for combiningﬁfteen-level AC *** investigation structure switching technique is phase opposition and disposition pulse width modulation technique(POPD)which results in improved quality of obtained output AC power with 6.73%THD and also determinedly recommended for power converters used in UPS and drive applications since it is extremely affordable.A simulation and prototype model ofﬁfteen-level CDDCLC system is deployed and its performance is analyzed for various operating conditions.

关键词： Cascaded DClinkconverter(CDDCLC) modified phaseopposition and disposition(mPOPDPWm) photovoltaic(PV) DCinterfaceboostconverter

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

Role of flaxseed(Linum usitatissimum L.)in disease prevention and treatment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2023年第7期13卷 277-286页

作者： C manimurugan m.Sujatha A.L.Rathnakumar m Sandhanalakshmi anand A.Zanwar ICAR-Indian Institute of Oilseeds Research RajendranagarHyderabad-500030India Central Leprosy Teaching and Research Institute Chengalpattu-603001India Interactive Research School for Health Affairs Bharati Vidyapeeth(Deemed to be University)Pune-411043India

Seeds of flax or linseed(Linum usitatissimum L.)are important nutraceutical foods with antioxidant,anti-inflammatory,estrogenic,laxative,and antibacterial *** oil and seeds are the richest vegetarian source of omega-3 fatty *** of flaxseeds helps in prevention and control of cardiovascular disease,neurodegenerative disorders,obesity,diabetes mellitus,polycystic ovary syndrome,gout,liver and kidney dysfunction,oxidative stress-related diseases,post-menopausal symptoms,osteoporosis,irritable bowel syndrome,dry eye disease,cystic fibrosis,diarrhea,and cancer,particularly of the mammary and prostate gland *** late,flaxseed is gaining more importance not only because of its industrial values but also due to its nutraceutical and pharmaceutical *** literature review was performed using Pubmed,Scopus,Pubmed Central,Google Scholar,and Web of Science from 1995 *** was also obtained from websites/books/book chapters.

关键词： Flaxseed Linum usitatissimum Omega-3 fatty acid Preventive medicine Nutraceutical foods

Genetic Algorithm Based 7-Level Step-Up Inverter with Reduced Harmonics and Switching Devices

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第3期35卷 3081-3097页

作者： T.anand Kumar m.Kaliamoorthy I.Gerald Christopher Raj Department of EEE Dr.Mahalingam College of Engineering and TechnologyPollachiTamilnaduIndia Department of EEE PSNA College of Engineering and TechnologyDindigulTamilnaduIndia

This paper presents a unique voltage-raising topology for a single-phase seven-level inverter with triple output voltage gain using single input source and two switched *** output voltage has been boosted up to three times the value of input voltage by conﬁguring the switched capacitors in series and parallel combinations which eliminates the use of additional step-up converters and *** selective harmonic elimination(SHE)approach is used to remove the lower-order *** optimal switching angles for SHE is determined using the genetic *** switching angles are com-bined with a level-shifted pulse width modulation(PWm)technique for pulse generation,resulting in reduced total harmonic distortion(THD).A detailed com-parison has been made against other relevant seven-level inverter topologies in terms of the number of switches,drivers,diodes,capacitors,and boosting facil-ities to emphasize the beneﬁts of the proposed *** proposed topology is simulated using mATLAB/SImULINK and an experimental prototype has been developed to validate the *** Digital Signal Processing(DSP)TmS320F2812 board is used to generate the switching pulses for the proposed technique and the experimental results concur with the simulated model outputs.

关键词： Genetic algorithm multilevel inverter pulse width modulation selective harmonic elimination switched capacitor