检索结果-南通市图书馆

Early SkinDiseaseIdentification Using Deep Neural Network

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第3期44卷 2259-2275页

作者： Vinay Gautam Naresh Kumar Trivedi Abhineet Anand rajeev tiwari Atef Zaguia Deepika Koundal Sachin Jain Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraIndia School of Computer Science University of Petroleum and Energy StudiesDehradun248007UttarakhandIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Department of Systemics University of Petroleum&Energy StudiesDehradunIndia ABES Institute of Technology GhaziabadIndia

Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and *** disease is the most common disorder triggered by fungus,viruses,bacteria,allergies,*** diseases are most dangerous and may be the cause of serious ***,it requires to diagnose it at an earlier stage,but the diagnosis therapy itself is complex and needs advanced laser and photonic *** advance therapy involvesfinancial burden and some other ill ***,it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier *** techniques have been proposed to detect skin disease at an earlier stage but fail to get ***,the primary goal of this paper is to classify,detect and provide accurate information about skin *** paper deals with the same issue by proposing a high-performance Convolution neural network(CNN)to classify and detect skin disease at an earlier *** complete meth-odology is explained in different folds:firstly,the skin diseases images are pre-processed with processing techniques,and secondly,the important feature of the skin images are ***,the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network(DCNN).The approach proposed in this paper is simple,fast,and shows accurate results up to 98%and used to detect six different disease types.

关键词： Convolution neural network(CNN) skin disease deep learning(DL) image processing artificial intelligence(AI)

Three dimensional structure prediction and proton nuclear magnetic resonance analysis of toxic pesticides in human blood plasma

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

The Journal of Biomedical Research 2012年第3期26卷 170-184页

作者： Amit Kumar Sharma rajeev Kumar tiwari Mulayam Singh Gaur Pesticides Research and Sensors Laboratory Department of PhysicsHindustan College of Science and TechnologyFarahMathura-281122(U.P.)India

The purpose of this study was to investigate the nuclear magnetic resonance （NMR） assignments of hydrolyzed products extracted from human blood plasma. The correlations between chemical, functional and structural prop- erties of highly toxic pesticides were investigated using the PreADME analysis. We observed that toxic pesticides possessed higher molecular weight and, more hydrogen bond donors and acceptors when compared with less toxic pesticides. The occurrence of functional groups and structural properties was analyzed using ~H-NMR. The ~H- NMR spectra of the phosphomethoxy class of pesticides were characterized by methyl resonances at 3.7-3.9 ppm （8） with the coupling constants of 11-16 Hz （Je-cns）. In phosphoethoxy pesticides, the methyl resonance was about 1.4 ppm （8） with the coupling constant of 10 Hz （Je-cH2） and the methylene resonances was 4.2-4.4 ppm （8） with the coupling constant of 0.8 Hz （Jp-cH3）, respectively. Our study shows that the values of four parameters such as chemical shift, coupling constant, integration and relaxation time correlated with the concentration of toxic pesticides, and can be used to characterise the proton groups in the molecular structures of toxic pesticides.

关键词： ^1H-NMR toxic pesticide nuclear magnetic resonance (NMR) parameter relaxation time computa- tional tool data interpretation

Computational interaction analysis of organophosphorus pesticides with different metabolic proteins in humans

在线全文

学校读者我要写书评

暂无评论

The Journal of Biomedical Research 2011年第5期25卷 335-347页

作者： Amit Kumar Sharma Karuna Gaur rajeev Kumar tiwari Mulayam Singh Gaur Pesticides Research & Sensors Laboratory Department of PhysicsHindustan College of Science and Technology Department of Bioscience R.D.Govt.Girls College

Pesticides have the potential to leave harmful effects on humans, animals, other living organisms, and the environment. Several human metabolic proteins inhibited after exposure to organophosphorus pesticides absorbed through the skin, inhalation, eyes and oral mucosa, are most important targets for this interaction study. The crystal structure of five different proteins, PDBIDs： 3LII, 3NXU, 4GTU, 2XJ1 and 1YXA in Homo sapiens （H. sapiens）, interact with organophosphorus pesticides at the molecular level. The 3-D structures were found to be of good quality and validated through PROCHECK, ERRAT and ProSA servers. The results show that the binding energy is maximum -45.21 relative units of cytochrome P450 protein with phosmet pesticide. In terms of H-bonding, methyl parathion and parathion with acetylcholinesterase protein, parathion, methylparathion and phosmet with protein kinase C show the highest interaction. We conclude that these organophosphorus pesticides are more toxic and inhibit enzymatic activity by interrupting the metabolic pathways in H. sapiens.

关键词： docking organophosphorus pesticides comparative analysis modeling toxicity analysis acetylcholinesterases Homo sapiens

A Bayesian multi-model inference methodology for imprecise momentindependent global sensitivity analysis of rock structures

在线全文

学校读者我要写书评

暂无评论

Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 840-859页

作者： Akshay Kumar Gaurav tiwari Department of Civil Engineering Indian Institute of Technology(IIT)KanpurKanpur208016India

Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(*** of distribution type and its parameters)of input rock properties emanating due to the small size of datasets while mapping the relative importance of properties to the model *** paper proposes an augmented Bayesian multi-model inference(BMMI)coupled with GSA methodology(BMMI-GSA)to address this issue by estimating the imprecision in the momentindependent sensitivity indices of rock structures arising from the small size of input *** methodology employs BMMI to quantify the epistemic uncertainties associated with model type and parameters of input *** estimated uncertainties are propagated in estimating imprecision in moment-independent Borgonovo’s indices by employing a reweighting approach on candidate probabilistic *** proposed methodology is showcased for a rock slope prone to stress-controlled failure in the Himalayan region of *** proposed methodology was superior to the conventional GSA(neglects all epistemic uncertainties)and Bayesian coupled GSA(B-GSA)(neglects model uncertainty)due to its capability to incorporate the uncertainties in both model type and parameters of *** Borgonovo’s indices estimated via proposed methodology provide the confidence intervals of the sensitivity indices instead of their fixed-point estimates,which makes the user more informed in the data collection *** performed with the varying sample sizes suggested that the uncertainties in sensitivity indices reduce significantly with the increasing sample *** accurate importance ranking of properties was only possible via samples of large ***,the impact of the prior knowledge in terms of prior ranges and distributions was significant;hence,any related assumption should be made carefully.

关键词： Bayesian inference Multi-model inference Statistical uncertainty Global sensitivity analysis(GSA) Borgonovo’s indices Limited data

EPQ model with the effect of inflation and reliability for partial trade credit under fuzzy and cloudy fuzzy environment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Management Analytics 2024年第1期11卷 110-134页

作者： Supriya tiwari Kunal Shah Kajal Bhimani Department of Science and Humanities Apollo Institute of Engineering&TechnologyGTUAhmedabadIndia Department of Mathematics SMMPISRKadi Sarva VishwavidyalayaGandhinagarIndia AVAerials 401 Swarnim Business Hub-1 New Chamunda SocietyGodrej Garden CityGotaAhmedabadIndia

The proposed study offers the first-of-its-kind economic production quantity model for deteriorating items having a demand rate to be price dependent under the effect of inflation and reliability with partial trade *** model is extended under an uncertain environment by assuming inventory parameters to be triangular fuzzy numbers and cloudy triangular fuzzy *** objective of the study is to maximize the profit of the inventory system and to identify the most suitable environment for the proposed *** are verified using the numerical ***,the comparative study is presented to justify the nature of fuzzy and cloudy fuzzy *** analysis under all environments is conducted to identify the most sensitive parameters of all.

关键词： EPQ partial trade credit inflation reliability triangular fuzzy number cloudy triangular fuzzy number

Dt1-SWEET10a partner:Photoperiodic control of seed weight in soybean

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Molecular Plant 2024年第6期17卷 839-841页

作者： Li-Qing Chen Lalit Dev tiwari Department of Plant Biology University of Illinois at Urbana-ChampaignUrbanaIL 61801USA DOE Center for Advanced Bioenergy and Bioproducts Innovation University of Illinois at Urbana-ChampaignUrbanaIL 61801USA Institute for Sustainability Energyand EnvironmentUniversity of Illinois at Urbana-ChampaignUrbanaIL 61801USA

Seed weight and size are critical agronomic traits essential for determining yield and composition,receiving significant attention throughout domestication(Meyer et al.,2012).Seed weight serves as a reliable indicator of average seed size due to their positive *** of seed weight involves both developmental and environmental cues,affecting cell proliferation or expansion(Li et al.,2019).

关键词： soybean SWEET1 weight

Impacts of road on plant invasions in the Middle Mountain region of central Nepal

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Mountain Science 2024年第2期21卷 619-632页

作者： Ananda ADHIKARI Adarsha SUBEDI Achyut tiwari Bharat Babu SHRESTHA Central Department of Botany Tribhuvan UniversityKirtipur 44618Nepal

Biological invasion is triggered by human development activities such as the construction and expansion of road *** verges serve as important habitats and corridors for the distribution of invasive alien plant species(IAPS)between geographically distant ***,the trajectory of plant invasion and the data regarding the impact of roads on IAPS distribution are relatively poor in ***,we surveyed two road types(main roads and feeder road)in the Middle Mountain region of central Nepal in order to investigate how different road types are driving the dispersal of IAPS along road verges and the adjacent natural *** sampling was conducted at ca 2.5 km intervals along the *** each sampling site,paired plots(25 m×4 m)were sampled:one adjacent to and along the road,and another 20 m away and parallel to it in the interior *** results revealed that the main road verges had a higher cover(33%)and a larger number of IAPS(14 species)than the feeder road(25%;10 species).The IAPS cover and richness were significantly higher along verges than in the adjacent interior habitats for both road types,indicating that roads are contributing as corridors for the dispersal of IAPS in the Middle Mountain areas of central ***,elevation,tree canopy,and disturbances(grazing/mowing/trampling)were found to be the key factors that determine spatial distribution of IAPS along road *** emphasize that regular monitoring of vegetation along the road verges can help with the early detection and control of potential IAPS in the region before they become problematic.

关键词： Biological invasions Dispersal corridor Invasive alien plants Transport infrastructure Himalayan mountains

Techno-economic and environmental impact analysis of electric two-wheeler batteries in India

在线全文

学校读者我要写书评

暂无评论

CLEAN ENERGY 2024年第3期8卷 147-156页

作者： Gupta, Aman Bose, Ditipriya tiwari, Sandeep Sharma, Vikrant Prakash, Jai Aligarh Muslim Univ Zakir Husain Coll Engn & Technol Dept Green Energy & Sustainable Dev Aligarh 202002 Uttar Pradesh India Natl Inst Solar Energy Battery Testing Facil Gurugram Faridabad Rd Gurugram 122003 Haryana India

This paper presents a comprehensive techno-economic and environmental impact analysis of electric two-wheeler batteries in India. The technical comparison reveals that sodium-ion (Na-ion) and lithium-ion (Li-ion) batteries outperform lead-acid batteries in various parameters, with Na-ion and Li-ion batteries exhibiting higher energy densities, higher power densities, longer cycle lives, faster charge rates, better compactness, lighter weight and lower self-discharge rates. In economic comparison, Na-ion batteries were found to be similar to 12-14% more expensive than Li-ion batteries. However, the longer lifespans and higher energy densities of Na-ion and Li-ion batteries can offset their higher costs through improved performance and long-term savings. Lead-acid batteries have the highest environmental impact, while Li-ion batteries demonstrate better environmental performance and potential for recycling. Na-ion batteries offer promising environmental advantages with their abundance, lower cost and lower toxic and hazardous material content. Efficient recycling processes can further enhance the environmental benefits of Na-ion batteries. Overall, this research examines the potential of Na-ion batteries as a cheaper alternative to Li-ion batteries, considering India's abundant sodium resources in regions such as Rajasthan, Chhattisgarh, Jharkhand and others.

关键词： electric two-wheelers environmental impact assessment lead-acid batteries lithium-ion batteries sodium-ion batteries techno-economic analysis VEHICLES TECHNOLOGIES HYBRID

Anti-methanogenic potential of seaweeds and seaweed-derived compounds in ruminant feed:current perspectives,risks and future prospects

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Animal Science and Biotechnology 2024年第2期15卷 463-489页

作者： Ailbhe McGurrin Julie Maguire Brijesh K.tiwari Marco Garcia-Vaquero Section of Food and Nutrition School of Agriculture and Food ScienceUniversity College DublinDublin 4BelfieldIreland TEAGASC Food Research CentreDublin 15AshtownIreland Bantry Marine Research Station Ltd BantryCo.CorkP75 AX07GearhiesIreland

With methane emissions from ruminant agriculture contributing 17%of total methane emissions worldwide,there is increasing urgency to develop strategies to reduce greenhouse gas emissions in this *** of the proposed strategies is ruminant feed intervention studies focused on the inclusion of anti-methanogenic compounds which are those capable of interacting with the rumen microbiome,reducing the capacity of ruminal microorganisms to produce ***,seaweeds have been investigated for their ability to reduce methane in ruminants in vitro and in vivo,with the greatest methane abatement reported when using the red seaweed Asparagopsis taxiformis(attributed to the bromoform content of this species).From the literature analysis in this study,levels of up to 99%reduction in ruminant methane emissions have been reported from inclusion of this seaweed in animal feed,although further in vivo and microbiome studies are required to confirm these results as other reports showed no effect on methane emission resulting from the inclusion of seaweed to basal *** review explores the current state of research aiming to integrate seaweeds as anti-methanogenic feed additives,as well as examining the specific bioactive compounds within seaweeds that are likely to be related to these *** effects of the inclusion of seaweeds on the ruminal microbiome are also reviewed,as well as the future challenges when considering the largescale inclusion of seaweeds into ruminant diets as anti-methanogenic agents.

关键词： Asparagopsis Bromoform Methanogenesis Phlorotannin Saponin Tannin