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A review on the parasitic isopod genus Notophryxus ***,1883(Crustacea:Isopoda),and first report of Notophryxus globularis ***,1885 from Lakshadweep Sea(Amini Island)

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Acta Oceanologica Sinica 2024年第8期43卷 142-153页

作者： Mukkattu Nazar Suhaana Jaime Gómez-Gutiérrez Paravanparambil Rajakumar Jayachandran Punnakkal hari Praved Sivasankaran Bijoy nandan Department of Marine Biology Microbiology and BiochemistrySchool of Marine SciencesCochin University of Science and TechnologyKochi-Kerala 682016India Departamento de Plancton y Ecología Marina Centro Interdisciplinario de Ciencias MarinasInstituto Politécnico NacionalLa Paz B.C.S.23096Mexico Applied Research Centre for Environment and Marine Studies King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Isopod crustaceans of the family Dajidae are exclusively marine *** genus Notophryxus ***,1883 currently includes nine nominal species,which are very rarely reported as the chances for encountering these specimens are *** comprehension of the taxonomy,biology,ecology,and life cycle of species belonging to the Notophryxus genus is notably *** nominal species of Notophryxus genus are reviewed here to obtain a comprehensive and integrative taxonomic understanding of this genus,in an attempt to address the *** paper also documents the rediscovery of an ectoparasitic isopod from the genus Notophryxus in Indian waters,after 55 *** isopod specimens obtained from the outer reefs of Amini Island in the Lakshadweep archipelago,Southeastern Arabian Sea,display morphological congruence to Notophryxus globularis ***,*** only previous report on this species dates back to 1885 from ***'description of *** as an ectoparasite on the euphausiid Thysanoessa gregaria ***,1883 in the North *** discovery represents a range extension of *** from the North Pacific to the Arabian *** cryptoniscid larvae and three adult females of ***(with dwarf males)were found attached to four adult mysid specimens of Siriella aequiremis Hansen,*** present study provides an improved diagnosis of *** with the aid of light microscopy images and line drawings which was not given in the original ***,1885 *** research also provides a concise description of cryptoniscid larvae from the same sampling location and same host which is most likely to be *** larvae.

关键词： Dajiidae Mysid cryptoniscan larvae Southeastern Arabian Sea Notophryxus

Cytotoxic and antiproliferative activity of kanchnar guggulu,an Ayurvedic formulation

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Journal of Integrative Medicine 2018年第6期16卷 411-417页

作者： Prachi Tomar Yadu nandan Dey Deepti Sharma Manish Motiram Wanjari Sudesh Gaidhani Ankush Jadhav Department of Biotechnology Komla Roja Girls Government Postgraduate Autonomous CollegeCwalior 474009Madhya PradeshIndia Regional Ayurveda Research Institute for Drug Development AamkhoGwalior 474009Madhya PradeshIndia Central Council for Research in Ayurvedic Sciences New Delhi 110058India

Objective： Kanchnar guggulu is a compound Ayurvedic formulation used in clinical practice for the treat- ment of benign and malignant tumors. The present study investigates its cytotoxic and antiproliferative ***： The hydro-alcoholic （50%） extract of kanchnar guggulu was prepared. Its antimitotic activity was assessed in an Allium cepa assay, while its antiproliferative effects were studied in a yeast prolifer- ation model. Methotrexate was used as a standard anticancer ***： In the Allium assay, all concentrations of the extract （1, 2 and 3 mg/mL） and methotrexate （0.02 mg/mL） significantly inhibited the division ofA. cepa root cells, decreasing root growth and mitotic index compared to control; this effect was concentration-dependent for kanchnar guggulu extract. In the antiproliferative studies, treatment with the hydro-alcoholic extract of kanchnar guggulu （1, 5 and 10 mg/mL） and methotrexate （0.025, 0.05 and 0.1 mg/mL） resulted in marked reduction of dividing Saccharornyces cerevisiae cells and inhibition of cell viability compared to control. The cytotoxicity of the hydro-alcoholic extract of kanchnar guggulu, shown by its antimitotic and antiproliferative effects, may be due to the presence of flavonoids and ***： Kanchnar guggulu exhibited a cytotoxic effect by inhibiting cell division （antimitotic） and reducing cell proliferation. These results substantiate its potential for the treatment of cancer and support its traditional use in the treatment of cancer.

关键词： BAUHINIA-VARIEGATA CANCER-CELLS ALLIUM TEST AGENTS

Teamwork Optimization with Deep Learning Based Fall Detection for IoT-Enabled Smart Healthcare System

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Computers, Materials & Continua 2023年第4期75卷 1353-1369页

作者： Sarah B.Basahel Saleh Bajaba Mohammad Yamin Sachi nandan Mohanty E.Laxmi Lydia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddahSaudi Arabia Department of business Administration Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia School of Computer Science&Engineering(SCOPE) VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajam 532127India

The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart *** services could be enhanced by incorporating key techniques like AI and *** convergence of AI and IoT provides distinct opportunities in the medical *** is regarded as a primary cause of death or post-traumatic complication for the ageing ***,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary ***,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home *** article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare ***,the presented TWODL-FDSHS technique exploits IoT devices for the data collection ***,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature *** last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS *** experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.

关键词： Internet of things smart healthcare deep learning team work optimizer capsnet fall detection

Automatic Vehicle License Plate Recognition Using Optimal Deep Learning Model

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Computers, Materials & Continua 2021年第5期67卷 1881-1897页

作者： Thavavel Vaiyapuri Sachi nandan Mohanty M.Sivaram Irina V.Pustokhina Denis A.Pustokhin K.Shankar College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Science&Engineering IcfaiTechICFAI Foundation for Higher EducationHyderabadIndia Assistant professor Research Research CenterLebanese French UniversityErbil44001Iraq Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia Department of Computer Applications Alagappa UniversityKaraikudiIndia

The latest advancements in highway research domain and increase in the number of vehicles everyday led to wider exposure and attention towards the development of efficient Intelligent Transportation System(ITS).One of the popular research areas i.e.,Vehicle License Plate Recognition(VLPR)aims at determining the characters that exist in the license plate of the *** VLPR process is a difficult one due to the differences in viewpoint,shapes,colors,patterns,and non-uniform illumination at the time of capturing *** current study develops a robust Deep Learning(DL)-based VLPR model using Squirrel Search Algorithm(SSA)-based Convolutional Neural Network(CNN),called the SSA-CNN *** presented technique has a total of four major processes namely preprocessing,License Plate(LP)localization and detection,character segmentation,and *** Transform(HT)is applied as a feature extractor and SSA-CNN algorithm is applied for character recognition in *** SSA-CNN method effectively recognizes the characters that exist in the segmented image by optimal tuning of CNN *** HT-SSA-CNN model was experimentally validated using the Stanford Car,FZU Car,and HumAIn 2019 Challenge *** experimentation outcome verified that the presented method was better under several *** projected HT-SSA-CNN model implied the best performance with optimal overall accuracy of 0.983%.

关键词： Deep learning license plate recognition intelligent transportation segmentation

Automated Artificial Intelligence Empowered White Blood Cells Classification Model

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Computers, Materials & Continua 2023年第4期75卷 409-425页

作者： Mohammad Yamin Abdullah M.Basahel Mona Abusurrah Sulafah M Basahel Sachi nandan Mohanty E.Laxmi Lydia Faculty of Economics and Administration King Abdulaziz UniversityJeddahSaudi Arabia Department of Management Information Systems College of Business AdministrationTaibah UniversityAl-MadinahSaudi Arabia E-commerce Department College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia School of Computer Science&Engineering(SCOPE) VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)VisakhapatnamAndhra Pradesh530049India

White blood cells (WBC) or leukocytes are a vital component ofthe blood which forms the immune system, which is accountable to fightforeign elements. The WBC images can be exposed to different data analysisapproaches which categorize different kinds of WBC. Conventionally, laboratorytests are carried out to determine the kind of WBC which is erroneousand time consuming. Recently, deep learning (DL) models can be employedfor automated investigation of WBC images in short duration. Therefore,this paper introduces an Aquila Optimizer with Transfer Learning basedAutomated White Blood Cells Classification (AOTL-WBCC) technique. Thepresented AOTL-WBCC model executes data normalization and data augmentationprocess (rotation and zooming) at the initial stage. In addition,the residual network (ResNet) approach was used for feature extraction inwhich the initial hyperparameter values of the ResNet model are tuned by theuse of AO algorithm. Finally, Bayesian neural network (BNN) classificationtechnique has been implied for the identification of WBC images into distinctclasses. The experimental validation of the AOTL-WBCC methodology isperformed with the help of Kaggle dataset. The experimental results foundthat the AOTL-WBCC model has outperformed other techniques which arebased on image processing and manual feature engineering approaches underdifferent dimensions.

关键词： White blood cells cell engineering computational intelligence image classification transfer learning

Trapped Modes in a Three-Layer Fluid

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Journal of Marine Science and Application 2018年第1期17卷 45-56页

作者： Sunanda Saha Swaroop nandan Bora Department of Mathematics Dayananda Sagar UniversityBangalore 560100India Department of Mathematics Indian Institute of Technology GuwahatiGuwahati 781039India

In this work,trapped mode frequencies are computed for a submerged horizontal circular cylinder with the hydrodynamic set-up involving an infinite depth three-layer incompressible fluid with layer-wise different *** impermeable cylinder is fully immersed in either the bottom layer or the upper *** effect of surface tension at the surface of separation is *** this set-up,there exist three wave numbers:the lowest one on the free surface and the other two on the internal *** each wave number,there exist two modes for which trapped waves *** existence of these trapped modes is shown by numerical *** investigate the variation of these trapped modes subject to change in the depth of the middle layer as well as the submergence *** show numerically that two-layer and single-layer results cannot be recovered in the double and single limiting cases of the density ratios tending to *** existence of trapped modes shows that in general,a radiation condition for the waves at infinity is insufficient for the uniqueness of the solution of the scattering problem.

关键词： Trappedmode Three-layer fluid Cut-off value Multipoles Pycnoclines

Bio-reduction of Sulphur Dyes with Alkaline Pectinase

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Journal of Chemistry and Chemical Engineering 2013年第10期7卷 930-941页

作者： Priyadarshi Jaruhar Jadu nandan Chakraborty National Institute of Technology Jalandhar 144011 India

Sulphur dyes are invariably applied on cotton to produce deep shades at cheaper cost possessing all-round fastness properties except against chlorine. Being water insoluble, these dyes are reduced and solubilised with sodium sulphide at boil to develop affinity for cotton. Application of sulphide has generated global debate because of its eco-unfriendly technology of dyeing. In this work, attempts were made to substitute sodium sulphide with alkaline pectinase. Obtained results suggested the ability of the latter to cause effective reduction and solubilisation of sulphur dyes. Stability of reduction baths as well as colour fastness was also reported to be in line with those obtained using sodium sulphide.

关键词： Sulphur dye sodium sulphide pectinase dye strength stability color fastness

Deep Learning Based License Plate Number Recognition for Smart Cities

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Computers, Materials & Continua 2022年第1期70卷 2049-2064页

作者： T.Vetriselvi E.Laxmi Lydia Sachi nandan Mohanty Eatedal Alabdulkreem Shaha Al-Otaibi Amal Al-Rasheed Romany F.Mansour Department of Computer Science and Engineering K.Ramakrishnan College of TechnologyTrichy620002India Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science&Engineering Vardhaman College of Engineering(Autonomous)Hyderabad501218India Department of Informatics and Computing Singidunum UniversitySerbia Computer Science Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Information Systems Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Smart city-aspiring urban areas should have a number of necessary elements in place to achieve the intended *** controlling and management of traffic conditions,increased safety and surveillance,and enhanced incident avoidance and management should be top priorities in smart city *** the same time,Vehicle License Plate Number Recognition(VLPNR)has become a hot research topic,owing to several real-time applications like automated toll fee processing,traffic law enforcement,private space access control,and road traffic *** VLPNR is a computer vision-based technique which is employed in the recognition of automobiles based on vehicle number *** current research paper presents an effective Deep Learning(DL)-based VLPNR called DLVLPNR model to identify and recognize the alphanumeric characters present in license *** proposed model involves two main stages namely,license plate detection and Tesseract-based character *** detection of alphanumeric characters present in license plate takes place with the help of fast RCNN with Inception V2 ***,the characters in the detected number plate are extracted using Tesseract Optical Character Recognition(OCR)*** performance of DL-VLPNR model was tested in this paper using two benchmark databases,and the experimental outcome established the superior performance of the model compared to other methods.

关键词： Deep learning smart city tesseract computer vision vehicle license plate recognition

Role of Multidetector CT in Evaluation of Polytrauma Patients

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Open Journal of Emergency Medicine 2014年第3期2卷 49-52页

作者： Amit nandan Dhar Dwivedi Department of Radiodiagnosis and Imaging Institute of Medical Sciences Banaras Hindu University Banaras India

Trauma is the leading cause of death in age group less than 45 years. In trauma, time is one of the most crucial factors in predicting prognosis. Outcomes are greatly improved when critical interventions are provided within the golden hour following injury. Whole body multidetector computerised tomography (WBMDCT) can decrease this critical time and increase survival. Emergency CT plays a major role in diagnostic workflow in the evaluation of patients with polytrauma. MDCT scanners are widely used because they rapidly produce high-resolution scans of large areas, offering short examination times for multiple body regions under emergency conditions. Such examinations most often include the head, cervical spine, and thorax to pelvis. Role of MDCT in head trauma remains unparalleled for reasons like its widespread availability and capability to reveal skull fractures, primarily because it is a fast and efficient method to triage the patients with treatable conditions mandating urgent surgical intervention such as extra axial hematomas, mass effect, herniations of brain, hydrocephalus, and midline shift and hence preventing secondary brain injury. MDCT angiography is an important tool to screen patients with suspected vascular injury.

关键词： Polytrauma Whole Body Multidetector CT Major Vascular Injuries Major Visceral Injuries