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Marine Life Science & Technology 2021年第3期3卷 355-362页

作者： Sukanta kumar nayak Pramod kumar Nanda Priyabrat Swain Department of Biotechnology Maharaja Sriram Chandra Bhanja Deo University(Erstwhile North Orissa University)Odisha757003India ICAR-Indian Veterinary Research Institute Eastern Regional StationKolkata700037India Fish Health Management Division Central Institute of Freshwater AquacultureBhubaneswar751002India

Antimicrobial proteins/peptides are becoming a new generation of immunostimulants for prevention and disease control in human and animals,including aquatic *** the haemolymph of horseshoe crabs(Tachypleus)contains broad ranges of bioactive compounds,we have explored the in vivo immunostimulating potential of amoebocyte lysate and plasma using a fish *** major carp,Labeo rohita,yearlings were injected intraperitoneally with two doses of lysate and plasma at 50 and 100µg protein per *** abnormalities and/or mortalities were recorded in any *** injected with 50µg lysate and 100µg plasma protein showed significant enhancement(P0.01)in any *** the contrary,a significantly high hemolysin titre was recorded in fish that received 100µg plasma *** challenge with Aeromonas hydrophila,both lysate and plasma protein(s)cross protected the fish after 30 *** highest survival(50%)was recorded in group injected with 50µg lysate protein,followed by 45%in both 100µg lysate and plasma protein injected groups.

关键词： Amoebocyte lysate Immunostimulatory Labeo rohita Plasma Tachypleus gigas

Review of preventive and constructive measures for coal mine explosions:An Indian perspective

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International Journal of Mining Science and Technology 2022年第3期32卷 471-485页

作者： santosh kumar Ray Asfar Mobin Khan Niroj kumar Mohalik Debashish Mishra Somu Mandal Jai Krishna Pandey CSIR-Central Institute of Mining and Fuel Research Barwa RoadDhanbad 826015India Academy of Scientific and Innovative Research(AcSIR) Ghaziabad 201002India

Firedamp and coal dust explosion constitute a lion’s share in mine accidents in a global mining *** paper reports a list of mine explosion disasters since last two decades,a critical review of the different prevention and constructive measures,and its recent development to avoid firedamp and coal dust *** legislation in core coal-producing countries,***,USA,Australia,South Africa,and India related to firedamp and coal dust explosion are critically *** occurred due to explosion after Nationalisation of Coal Mines(1973)in India are *** and constructive measures adopted in India are critically analysed with respect to the global mining *** like methane credit concept,classification of mines/seams with respect to explosion risk zone,deflagration index;installation of automatic fire warning devices,canopy air curtain technology,explosion-prevention measures,such as fire-retardant materials,inhibitors,extinguishing agent,dust suppressor,and active explosion barrier are discussed in detail to avoid explosion and thereby adhering to zero accident policy due to coal mine explosion.

关键词： Firedamp explosion Coal dust explosion Preventive measures Constructive measures Legislation

Impact of Hierarchical Architecture of Cryptotermes brevis Wing on the Modulation of Bacterial Adhesion

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Journal of Bionic Engineering 2022年第2期19卷 516-529页

作者： Sanjeev kumar Paikra Sumit Mukherjee Nibedita nayak Janmejaya Bag Monalisa Mishra Neural Developmental Biology Laboratory Department of Life ScienceNational Institute of Technology769008RourkelaSundergarhOdishaIndia

The wing architecture is an inspiration to fabricate novel materials with exquisite *** current study characterizes the structure and biological function of a termite’s *** topography of the surface of the wing was studied by electron microscopy,and surface *** physicochemical property of the surface was analyzed by Fourier transform infrared spectroscopy,X-ray diffraction spectroscopy,energy-dispersive X-ray spectroscopy,and gas chromatography-mass spectrometry analysis of the epicuticle *** Contact Angle measurement confirmed the hydrophobicity of the wing *** microorganisms come in contact with the surface of the wing,they adhere to the wing surface due to cell surface properties of their own and the surface chemistry of the *** current study reported the adhesion behavior of two bacterial *** bactericidal activity of the wing was confirmed by counting the bacterial cell viability and examination under a confocal laser scanning *** of bacteria was observed under the electron *** oxidative stress,the topography of the wing,and the surface chemistry of the wing are the crucial factors that induce bactericidal *** nanostructure along with the chemical composition of the wing can be mimicked for the fabrication of novel material with antibacterial properties.

关键词： Bacterial adhesion Bactericidal Chitin Nanostructure Pseudomonas aeruginosa Staphylococcus aureus

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

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Big Data Mining and Analytics 2023年第1期6卷 32-43页

作者： Kalyan kumar Jena Sourav kumar Bhoi Soumya Ranjan nayak Ranjit Panigrahi Akash kumar Bhoi Department of Computer Science and Engineering Parala Maharaja Engineering CollegeBerhampur 761003India Amity School of Engineering and Technology Amity UniversityUttar Pradesh 201303India Department of Computer Applications Sikkim Manipal Institute of TechnologySikkim Manipal UniversitySikkim 737102India Directorate of Research Sikkim Manipal UniversityGangtokSikkim 737102India

As a huge number of satellites revolve around the earth,a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time ***,classifying satellite images plays strong assistance in remote sensing communities for predicting tropical *** this article,a classification approach is proposed using Deep Convolutional Neural Network(DCNN),comprising numerous layers,which extract the features through a downsampling process for classifying satellite cloud *** is trained marvelously on cloud images with an impressive amount of prediction *** time decreases for testing images,whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset *** satellite images are taken from the Meteorological&Oceanographic Satellite Data Archival Centre,the organization is responsible for availing satellite cloud images of India and its *** proposed cloud image classification shows 94% prediction accuracy with the DCNN framework.

关键词： satellite images satellite image classification cyclone prediction Deep Convolutional Neural Network(DCNN) features layers down-sampling process

Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm

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Big Data Mining and Analytics 2023年第4期6卷 504-512页

作者： Gargi Pant Shukla santosh kumar Saroj kumar Pandey Rohit Agarwal Neeraj Varshney Ankit kumar the Department of Management Doon Business SchoolDehradun 248001India. Jaipuria Institute of Management Jaipur 302033India Department of Computer Engineering and Apllications GLA UniversityMathura 281406India.

In Computer-Aided Detection(CAD)brain disease classification is a vital ***’s Disease(AD)and brain tumors are the primary reasons of *** studies of these diseases are carried out by Magnetic Resonance Imaging(MRI),Positron Emission Tomography(PET),and Computed Tomography(CT)scans which require expertise to understand the *** disease is the most prevalent in the elderly and can be fatal in its later *** result can be determined by calculating the mini-mental state exam score,following which the MRI scan of the brain is *** from that,various classification algorithms,such as machine learning and deep learning,are useful for diagnosing MRI ***,they do have some limitations in terms of *** paper proposes some insightful pre-processing methods that significantly improve the classification performance of these MRI ***,it reduced the time it took to train the model of various pre-existing learning algorithms.A dataset was obtained from Alzheimer’s Disease Neurological Initiative(ADNI)and converted from a 4D format to a 2D *** clipping,grayscale image conversion,and histogram equalization techniques were used to pre-process the *** pre-processing,we proposed three learning algorithms for AD classification,that is random forest,XGBoost,and Convolution Neural Networks(CNN).Results are computed on dataset and show that it outperformed with exiting work in terms of accuracy is 97.57%and sensitivity is 97.60%.

关键词： alzheimer’s disease deep learning random forest XGBoost

CFD modeling to study the effect of particle size on dispersion in 20l explosion chamber: An overview

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International Journal of Mining Science and Technology 2020年第3期30卷 321-327页

作者： santosh kumar Ray Niroj kumar Mohalik Asfar Mobin Khan Debashish Mishra Nikhil kumar Varma Jai Krishna Pandey Pradeep kumar Singh CSIR-Central Institute of Mining and Fuel Research Dhanbad 826001India

Mine disasters occur predominantly due to methane or coal dust explosion or a combination of *** the top ten worst coal mine disasters in India, nine are due to coal dust explosion. The current paper describes a general overview of the parameters causing dispersion leading to coal dust explosion,and computational fluid dynamics(CFD) simulation study to observe the effects of particle size on dispersion in Indian coal mines. Turbulent kinetic energy(TKE) and velocity vector path of dust-air mixture and dust-free air were simulated to understand their effects on coal dust dispersion. The TKE contours and velocity vector paths for dust-free air were uniform and symmetrical due to resistance-free path available. The TKE contours and velocity vector paths for dust-air mixture shows the asymmetrical distribution of contours, due to entrainment of air with dust particles. Vortices were observed in velocity vector paths which gradually diminish on increment of time sequence. These vortices are dead centres where velocity and coal dust particles concentration are both zero.

关键词： Coal dust explosibility CFD 20l explosion chamber Dispersion Turbulent kinetic energy

A detailed study on trust management techniques for security and privacy in IoT:challenges,trends,and research directions

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高置信计算(英文) 2023年第2期3卷 71-82页

作者： Himani Tyagi Rajendra kumar santosh Kr Pandey Department of Computer Science Jamia Millia IslamiaNew Delhi 110025India Department of EC&IT MeityNew Delhi 110003India

The Internet of Things is a modern technology that is directed at easing human life by automating most of the things used in daily *** never-ending dependency on the network for communication is attracting adversaries to exploit the vulnerabilities of ***,this technology is facing some serious issues and challenges concerning security and *** issues and challenges are the real motivation behind considering this ***,this survey includes a discussion about security and privacy challenges as well as available solutions for IoT based wireless sensor *** systematic literature review(SLR)focuses particularly on a popular and applicable security approach known as Trust Management System(TMS).Firstly,all aspects of trust management,including trust indicators,trust properties,trust evaluation,trust building,trust models and the importance of those models for security and privacy,trust prediction methodologies,and ultimately trust-based attacks,are covered in this ***,trust management schemes are classified into four groups based on the methodology used for trust-based security solutions in the IoT:cryptography-based,computational and probabilistic-based,information theory-based,and ***,an understanding of the problems and difficulties with current methodologies is given,along with suggestions for further ***,the SLR is concluded by formulating the desirable characteristics of a trust management system in the IoT and proposing a trust model suitable for IoT networks.

关键词： Trust Trust management approaches IoT Security Privacy Reliability Attacks Trust attributes Systematic literature review Cybersecurity

Shear Strength and Morphological Study of Polyurethane- OMMT Clay Nanocomposite Adhesive Derived from Vegetable Oil-Based Constituents

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Journal of Renewable Materials 2018年第1期6卷 117-125页

作者： Swarnalata Sahoo Hemjyoti Kalita Smita Mohanty Sanjay kumar nayak Central Institute of Plastic Engineering and Technology ChennaiTamil Nadu 600032India Laboratory for Advanced Research in Polymeric Materials(LARPM) CIPETBhubaneswar 751024 India and ChennaiTamil Nadu 600032India

In the current work,we have synthesized vegetable oil-based polyurethane-OMMT clay nanocomposite(PUNC)adhesive with the incorporation of different wt%of organically modified nanoclay(1 to 5 wt%)into the biobased polyurethane(PU)matrix through in-situ polymerization process via ultrasonication *** the initial stage,PU adhesive was prepared using polyol and partially biobased aliphatic isocyanate,wherein polyol was derived from the transesterified castor oil using ethylene *** formation of PU and PUNC adhesive was confirmed using Fourier transform infrared(FTIR)spectroscopy *** tensile strength of PU with different wt%of nanoclay was determined and the analysis showed that the loading of 3 wt%of nanoclay within the PU matrix showed better performance as compared to the ***,shear strength of PU and PUNC(3 wt%nanoclay)adhesives were determined using lap shear test,in which PUNC adhesive showed higher adhesive strength at 70°***,the dispersibility of OMMT nanoclay within the PU matrix along with exfoliation and amorphous structure was confirmed through wide angle X-ray diffractometer(WAXD)and transmission electron microscopy(TEM)*** phase separation structure was analyzed using dynamic mechanical analysis(DMA).The analysis revealed that with the addition of organically modified nanoclay in the PU matrix,the glass transition temperature(Tg)of the damping curve was shifted towards higher temperature.

关键词： Biobased raw material composite material green strength gel time DMA

TGA/DSC study to characterise and classify coal seams conforming to susceptibility towards spontaneous combustion

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International Journal of Mining Science and Technology 2022年第1期32卷 75-88页

作者： Niroj kumar Mohalik Somu Mandal santosh kumar Ray Asfar Mobin Khan Debashish Mishra Jai Krishna Pandey CSIR-Central Institute of Mining and Fuel Research(CIMFR) Dhanbad 826015India Academy of Scientific and Innovative Research(AcSIR) Ghaziabad 201002India

Thermogravimetric analysis/differential scanning calorimeter(TGA/DSC)technique along with basic coal characteristics study is carried out for eighty coal samples of Indian coalfields,to determine spontaneous combustion propensity behaviour of *** study of coal samples indicates that there is an increase in the mass of coal samples in the temperature range 150-350℃,which may be due to oxygen adsorption and *** correlation and principal component analysis states that the component of proximate analysis(M_(ad),VM_(d),FR,and VR)have an acceptable correlation with the TGA experiments results i.e.,Tgsh and *** fixed nonlinear regression analysis shows that thermogravimetry(TG)experiment results Tgign may be the best index to categorise/classify the coal as per their susceptibility towards spontaneous *** authors proposed four groups of classification as per their propensity towards spontaneous combustion depending upon the moisture(M_(ad)),volatile matter(VM_(d)),and TG ignition temperature from differential thermogravimetric(DTG)curve(Tgign)using hierarchal clustering *** coal samples of different seams from Indian coalfield may be classified into four different clusters,*** highly/extremely susceptible(Tgign320℃).The field observations and TGA/DSC experiment results with the following statistical analysis substantiate a similar assessment.

关键词： Coal TGA/DSC Spontaneous combustion TG ignition

Impact of COVID-19 Pandemic on Mental Health of Healthcare Workers–A Perception of Indian Hospital Administrators

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International Journal of Mental Health Promotion 2023年第7期25卷 833-845页

作者： Anahita Ali santosh kumar Faculty of Public Health Poornima UniversityJaipur303905India

Since the coronavirus pandemic,many factors led to the change in the mental well-being of hospital administrators and their *** pandemic negatively impacted the availability and capability of health professionals to deliver essential services and meet rising ***,this study aimed to understand the perspective of hospital administrators about issues and challenges that negatively impacted their staff’s mental health and hospital administrators’coping response to mitigate those challenges and *** exploratory qualitative study was conducted with 17 hospital administrators(superintendents,deputy superintendents,nursing in charge and hospital in charge)working in a government district hospital of Rajasthan state during September 2022 and October *** study revealed various emerging themes on mental health-related issues,challenges and coping strategies reported by the *** and sub-themes that emerged from this study were 1)Perceived mental health of HCWs-perceived importance of mental health,2)Impact of COVID-19 on the mental health of HCWs–common mental health issues,changes in mental health pre and post-pandemic,3)Impact of COVID-19 on health behavior of HCWs-increased self-care and awareness,4)Challenges responsible for poor mental health of HCWs-organizational,ethical and societal challenges and 5)Strategies to retain mental health of HCWs-effective coping *** most common problems were increased levels of stress,feeling fatigued,tiredness,weak and anxiety among the *** their staff motivated was the biggest challenge *** support,counseling through professionals and demystifying myths were the most effective coping strategies adopted by the *** conclusion,this study reported poor mental health-related issues,challenges faced by the HCWs and effective strategies adopted by hospital administrators during tough *** study will assist hospital administrators in developing i

关键词： Coping strategies Indian administrators Indian healthcare workers qualitative study COVID-19 mental health