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Comparative oral metagenome insight into acute and chronic root canal infections

Journal of Bio-X Research 2023年第4期6卷 117-123页

作者： Kumari K.Swapna Sangita Dixit Mahendra Gaur dibyajyoti Uttameswar behera Patitapabana Das Enketeswara Subudhi Shakti Rath Institute of Dental Sciences Siksha"O"Anusandhan(Deemed to be University)Bhubaneswar 751003OdishaIndia Centre for Biotechnology School of Pharmaceutical SciencesSiksha"O"Anusandhan(Deemed to be University)Bhubaneswar 751003OdishaIndia

Background:In the dynamic progression of root canal infections,the resultant change in environmental conditions directs the adaptation of the microbiome in terms of richness,evenness,and ***:The goal of this study is to contrast the interradicular bacterial community structures of teeth in acute and chronic stages and investigate potential microorganisms associated with persistent apical periapical ***:Interradicular samples were collected from 10 teeth in the apical periodontitis group and 10 teeth in the chronic apical periodontitis ***-throughput next-generation sequencing(NGS)–based microbial identification through the Illumina platform was used to characterize the complex intraradicular microbial communities in acute and chronic root canal ***:Bacteria were the major domain,with a prevalence of>97%(acute cases:98.11%and chronic cases:97.6%)compared to eukaryotes and *** diversity was relatively higher in acute compared to chronic conditions under 10 and 9 phyla,79 and 64 genera,and 172 and 135 species,*** endodontically infecting bacteria belonged to Firmicutes(47.21%),Bacteroidetes(20.07%),and Proteobacteria(10.72%)in acute conditions,while in the chronic stage,Firmicutes(40.85%),Proteobacteria(27.80%),and Actinobacteria(14.79%)were *** phylum Candidatus Saccharibacteria was exclusively found in acute *** and Synergistetes were found predominantly in acute infections compared to chronic *** and Lactobacillus were found in equal and highest abundance under the phylum Firmicutes in both ***:This study provides information on the differential microbial community present in the apical root canal system of teeth with acute and chronic apical periodontitis and contributes to new approaches or channels for future research on preventive measures and therapeutic protocols during disease progression and ***,functiona

关键词： acute chronic apical periodontitis infections metagenome oral microbiome

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Relationship between proximate analysis parameters and combustion behaviour of high ash Indian coal

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International Journal of Coal Science & Technology 2020年第4期7卷 766-777页

作者： Subhajit Aich dibyajyoti behera Barun Kumar Nandi Sumantra Bhattacharya Department of Fuel Minerals and Metallurgical Engineering Indian Institute of Technology(Indian School of Mines)DhanbadDhanbadJharkhand 826004India

This work presents the analysis of combustion characteristics of high ash Indian coal(28%-40%)collected from different mines of Singaurali coalfield,*** the coal samples were characterized by proximate and gross calorific value *** performance of the coals were characterised using thermo-gravimetric analysis to identify the burning profile of individual *** combustion kinetic parameters such as ignition temperature,peak temperature and burnout temperature,ignition index and burnout index,combustion performance index plus rate and intensity index of combustion process,activation energy were determined to analyse the combustion behaviour of *** all these combustion properties were compared with the volatile matter,ash,fixed carbon and fuel ratio of each *** analysis shows that with increase in ash content,combustion performance initially increases and later ***,coal with(25±1.75)%volatile matter,20%-35%ash and fuel ratio 1.4-1.5 were found to be optimum for coal combustion.

关键词： TGA-DTG Proximate analysis Combustion kinetics Activation energy Burning profile

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Numerical modelling of post-failure behaviors of coal specimens

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 514-531页

作者： Ajeet Yadav Bhaskara behera Gauri Shankar Prasad Singh Sanjay Kumar Sharma Department of Mining Engineering Indian Institute of Technology(Banaras Hindu University)VaranasiUttar Pradesh221005India

A modelling approach consisting of best-fit relations to estimate the post-yield strength parameters is presented for simulating post-peak behavior beyond the point of residual strength of coal pillars having different w/h *** model was developed based on back-analysis of the complete stress-strain behavior of specimens belonging to six different Indian coal seams with different w/h ratios of 0.5 *** was found that the simultaneous degradation of the cohesion and friction angle of the Mohr-Coulomb rock material characterizes the post-peak strength behavior of the *** resulting expressions are simplistic as they require parameters that can be easily determined using uniaxial and triaxial compression ***,the developed model was validated by simulating the triaxial tests of coal specimens with different sizes under varying confining stresses and comparing its findings with the published test *** study showed that its implementation in the numerical model could reproduce laboratory-observed mechanical response,deformation behavior,and failure mechanism very closely.

关键词： Strain softening Dilatancy Interface Shape effect Residual strength

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Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1569-1598页

作者： Sumit Sow Shivani Ranjan Mahmoud F.Seleiman Hiba M.Alkharabsheh Mukesh Kumar Navnit Kumar Smruti Ranjan Padhan Dhirendra Kumar Roy dibyajyoti Nath Harun Gitari Daniel O.Wasonga Department of Agronomy Dr.Rajendra Prasad Central Agricultural UniversityPusaSamastipurBihar848125India Department of Plant Production College of Food and Agriculture SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Crop Sciences Faculty of AgricultureMenoufia UniversityShibin El-Kom32514Egypt Department of Water Resources and Environmental Management Faculty of Agricultural TechnologyAl Balqa Applied UniversitySalt19117Jordan Division of Agronomy ICAR-Indian Agricultural Research InstitutePusa CampusNew Delhi110012India Department of Soil Science Dr.Rajendra Prasad Central Agricultural UniversityPusaSamastipurBihar848125India Department of Agricultural Science and Technology School of Agriculture and Environmental SciencesKenyatta UniversityNairobi43844Kenya Department of Crop Sciences University of Illinois Urbana-ChampaignUrbanaIL 61801USA

Agriculture plays a crucial role in the economy,and there is an increasing global emphasis on automating agri-cultural *** the tremendous increase in population,the demand for food and employment has also increased signiﬁ*** methods traditionally used to meet these requirements are no longer ade-quate,requiring solutions to issues such as excessive herbicide use and the use of chemical *** of technologies such as the Internet of Things,wireless communication,machine learning,artiﬁcial intelligence(AI),and deep learning shows promise in addressing these ***,there is a lack of comprehensive documentation on the application and potential of AI in improving agricultural input efﬁ*** address this gap,a desk research approach was used by utilizing peer-reviewed electronic databases like PubMed,Scopus,Goo-gle Scholar,Web of Science,and Science Direct for relevant *** of 327 initially identiﬁed articles,180 were deemed pertinent,focusing primarily on AI’s potential in enhancing yield through better management of nutrients,water,and *** into account researchﬁndings worldwide,we found that AI technologies could assist farmers by providing recommendations on the optimal nutrients to enhance soil quality and deter-mine the best time for irrigation or herbicide *** present status of AI-driven automation in agricul-ture holds signiﬁcant promise for optimizing agricultural input utilization and reducing resource waste,particularly in the context of three pillars of crop management,i.e.,nutrient,irrigation,and weed management.

关键词： Agriculture artiﬁcial intelligence crop management nutrient irrigation weed management resource use efﬁciency

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Steroids in acute respiratory distress syndrome:A panacea or still a puzzle?

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World Journal of Critical Care Medicine 2024年第2期13卷 93-105页

作者： Sharmili Sinha Rohit Patnaik Srikant behera Department of Critical Care Medicine Apollo HospitalsBhubaneswar 751005OdishaIndia Department of Critical Care Medicine Medeor 24x7 HospitalAl Danah 40330Abu DhabiUnited Arab Emirates Department of Internal Medicine and Critical Care All India Institute of Medical SciencesBhubaneswar 751019OdishaIndia

Acute respiratory distress syndrome(ARDS)is a unique entity marked by various etiologies and heterogenous *** remain concerns regarding the efficacy of particular medications for each severity level apart from respiratory *** several pharmacotherapies which have been examined in the treatment of ARDS,corticosteroids,in particular,have demonstrated potential for improving the resolution of ***,it is imperative to consider the potential adverse effects of hyperglycemia,susceptibility to hospital-acquired infections,and the development of intensive care unit acquired weakness when administering *** far,a multitude of trials spanning several decades have investigated the role of corticosteroids in *** stringent trials are necessary to identify particular subgroups before implementing corticosteroids more widely in the treatment of *** review article provides a concise overview of the most recent evidence regarding the role and impact of corticosteroids in the management of ARDS.

关键词： Acute respiratory distress syndrome Corticosteroids Septic shock Community acquired pneumonia COVID-19 Randomized controlled trials

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Rice Heat Tolerance Breeding: A Comprehensive Review and Forward Gaze

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Rice science 2024年第4期31卷 375-400,I0022页

作者： Ravindran Lalithambika VISAKH Sreekumar ANAND Sukumaran Nair ARYA behera SASMITA Uday Chand JHA Rameswar Prasad SAH Radha BEENA Department of Genetics and Plant Breeding College of AgricultureVellayaniKerala Agricultural UniversityThiruvananthapuramKerala 695522India Crop Improvement Division Indian Council of Agricultural Research-National Rice Research InstituteCuttackOdisha 7530006India Department of Plant Breeding and Genetics Indian Institute of Pulse ResearchKanpur 208024India Department of Plant Physiology College of AgricultureVellayaniKerala Agricultural UniversityThiruvananthapuramKerala 695522India

The yield potential of rice is seriously affected by heat stress due to climate change. Since rice is a staple food globally, it is imperative to develop heat-resistant rice varieties. Thus, a thorough understanding of the complex molecular mechanisms underlying heat tolerance and the impact of high temperatures on various critical stages of the crop is needed. Adoption of both conventional and innovative breeding strategies offers a long-term advantage over other methods, such as agronomic practices, to counter heat stress. In this review, we summarize the effects of heat stress, regulatory pathways for heat tolerance, phenotyping strategies, and various breeding methods available for developing heat-tolerant rice. We offer perspectives and knowledge to guide future research endeavors aimed at enhancing the ability of rice to withstand heat stress and ultimately benefit humanity.

关键词： genetic mechanism high-temperature stress molecular breeding genomics selection

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Fertilization and Soil Ploughing Practices under Changing Physical Environment Lead to Soil Organic Carbon Dynamics under Conservation Agriculture in Rice-Wheat Cropping System: A Scoping Review

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Agricultural Sciences 2024年第1期15卷 82-113页

作者： Salwinder Singh Dhaliwal Arvind Kumar Shukla Sanjib Kumar behera Sarwan Kumar Dubey Agniva Mandal Mehakpreet Kaur Randhawa Sharanjit Kaur Brar Gagandeep Kaur Amardeep Singh Toor Sohan Singh Walia Priyadarshani Arun Khambalkar Department of Soil Science Punjab Agricultural University Ludhiana India Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya Gwalior India Indian Institute of Soil Science (ISSS) Bhopal India Indian Council of Agricultural Research—Central Soil Salinity Research Institute (ICAR-CSSRI) Karnal India Department of Agricultural Chemistry and Soil Science Bidhan Chandra Krishi Viswavidyalaya Mohanpur India Department of Crop and Soil Sciences Washington State University Pullman USA School of Organic Farming Punjab Agricultural University Ludhiana India Department of Soil Science Rajmata Vijayaraje Sciendia Krishi Viswa Vidalaya Gwalior India

Ploughing and fertilization practices in rice-wheat system have deteriorated the soil carbon (C) pools. Conservation agriculture (CA) based management approaches have proven to enhance C sequestration and reverse the loss of soil-organic-carbon (SOC), which further enhances soil fertility. Different fractions of SOC pools react to the alterations in management practices and indicate changes in SOC dynamics as compared to total C in the soil. Higher SOC levels in soil have been observed in case of reduced/no-till (NT) practices than conventional tillage (CT). However, between CT and zero tillage/NT, total SOC stocks diminished with an increase in soil depth, which demonstrated that the benefits of SOC are more pronounced in the topsoil under NT. Soil aggregation provides physical protection to C associated with different-sized particles, thus, the improvement in soil aggregation through CA is an effective way to mitigate soil C loss. Along with less soil disturbance, residual management, suitable crop rotation, rational application of manures and fertilizers, and integrated nutrient management have been found to be effective in not only improving soil C stock but also enhancing the soil health and productivity. Thus, CA can be considered as a potential method in the build-up of SOC of soil in rice-wheat system.

关键词： Tillage Conservation Agriculture Soil Organic Carbon Carbon Fractions Rice-Wheat System Organic Amendments

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EMD-Att-LSTM: A Data-driven Strategy Combined with Deep Learning for Short-term Load Forecasting

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1229-1240页

作者： Neeraj Jimson Mathew Ranjan Kumar behera Indian Instituteof Technology Patna801103India

Electric load forecasting is an efficient tool for system planning, and consequently, building sustainable power systems. However, achieving desirable performance is difficult owing to the irregular, nonstationary, nonlinear, and noisy nature of the observed data. Therefore, a new attention-based encoderdecoder model is proposed, called empirical mode decomposition-attention-long short-term memory(EMD-Att-LSTM).EMD is a data-driven technique used for the decomposition of complex series into subsequent simpler series. It explores the inherent properties of data to obtain the components such as trend and seasonality. Neural network architecture driven by deep learning uses the idea of a fine-grained attention mechanism, that is, considering the hidden state instead of the hidden state vectors, which can help reflect the significance and contributions of each hidden state dimension. In addition, it is useful for locating and concentrating the relevant temporary data,leading to a distinctly interpretable network. To evaluate the proposed model, we use the repository dataset of Australian energy market operator(AEMO). The proposed architecture provides superior empirical results compared with other advanced models. It is explored using the indices of root mean square error(RMSE) and mean absolute percentage error(MAPE).

关键词： Short-term load forecasting Australian energy market operator long short-term memory(LSTM) empirical mode decomposition(EMD) attention mechanism

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Germplasm Resources,Genes and Perspective for Aromatic Rice

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Rice science 2023年第4期30卷 294-305页

作者： Prafulla Kumar behera Debabrata PANDA Department of Biodiversity and Conservation of Natural Resources Central University of OdishaKoraput 764003OdishaIndia

Aromatic rice is considered an important commodity in the global market because of its strong aroma and eating and cooking *** countries,such as India and Pakistan,are the leading traders of Basmati rice,whereas Thailand is the major supplier of Jasmine rice in the international *** strong aroma of rice is associated with more than 300 volatile compounds,among which 2-acetyl-1-pyrroline(2-AP)is the principal component.2-AP is a phenotypic expression of spontaneous mutations in the recessive gene OsBadh2 or *** present review focuses on the origin,evolution and diversity of genetic resources of aromatic rice available worldwide.A brief discussion is presented on the genes responsible for quality traits along with details of their molecular *** compilation and discussion will be useful for future breeding programs and the biofortification of quality traits of aromatic rice to ensure food security and nutritional need.

关键词： aromatic rice 2-acetyl-1-pyrroline polyamine degradation pathway quality trait

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A Machine Learning Approach for Artifact Removal from Brain Signal

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Computer Systems Science & Engineering 2023年第5期45卷 1455-1467页

作者： Sandhyalati behera Mihir Narayan Mohanty Department of Electronics and Communication Engineering ITERSikhsha‘O’Anusandhan(Deemed to be University)Bhubaneswar751030India

Electroencephalography(EEG),helps to analyze the neuronal activity of a human brain in the form of electrical signals with high temporal resolution in the millisecond *** extract clean clinical information from EEG signals,it is essential to remove unwanted artifacts that are due to different causes including at the time of *** this piece of work,the authors considered the EEG signal contaminated with Electrocardiogram(ECG)artifacts that occurs mostly in cardiac *** clean EEG is taken from the openly available Mendeley database whereas the ECG signal is collected from the Physionet database to create artifacts in the EEG signal and verify the proposed *** the artifactual signal is non-linear and non-stationary the Random Vector Functional Link Network(RVFLN)model is used in this *** Machine Learning approach has taken a leading role in every field of current research and RVFLN is one of *** the proof of adaptive nature,the model is designed with EEG as a reference and artifactual EEG as *** peaks of ECG signals are evaluated for artifact estimation as the amplitude is higher than the EEG *** vary the weight and reduce the error,an exponentially weighted Recursive Least Square(RLS)algorithm is used to design the adaptive filter with the novel RVFLN *** random vectors are considered in this model with a radial basis function to satisfy the required signal *** is found that the result is excellent in terms of Mean Square Error(MSE),Normalized Mean Square Error(NMSE),Relative Error(RE),Gain in Signal to Artifact Ratio(GSAR),Signal Noise Ratio(SNR),Information Quantity(IQ),and Improvement in Normalized Power Spectrum(INPS).Also,the proposed method is compared with the earlier methods to show its efficacy.

关键词： Random vector functional link network(RVFLN) information quantity(IQ) constrained independent component analysis(cICA)

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