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Investigation of proton structure function F_(2)^(p)at HERA in light of an analytical solution to the Balitsky–Kovchegov equation

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Communications in Theoretical Physics 2024年第3期76卷 120-126页

作者： ranjan Saikia Pragyan Phukan Jayanta Kumar Sarma HEP laboratory Department of PhysicsTezpur UniversityTezpurAssam-784028India Department of Physics Moran CollegeMoranhatAssam-785670India

In this paper,the proton structure function F_(2)^(p)(x,Q^(2))at small-x is investigated using an analytical solution to the Balitsky–Kovchegov(BK)*** the context of the color dipole description of deep inelastic scattering(DIS),the structure function F_(2)^(p)(x,Q^(2))is computed by applying the analytical expression for the scattering amplitude N(k,Y)derived from the BK *** transverse momentum k and total rapidity Y,the scattering amplitude N(k,Y)represents the propagation of the quark-antiquark dipole in the color dipole description of *** the BK solution we extracted the integrated gluon density xg(x,Q^(2))and then compared our theoretical estimation with the LHAPDF global data fits,NNPDF3.1sx and ***,we have investigated the behavior of F_(2)^(p)(x,Q^(2))in the kinematic region of 10^(-5)≤x≤10^(-2)and 2.5 GeV^(2)≤Q^(2)≤60 GeV^(2).Our predicted results for F_(2)^(p)(x,Q^(2))within the specified kinematic region are in good agreement with the recent high-precision data for F_(2)^(p)(x,Q^(2))from HERA(H1 Collaboration)and the LHAPDF global parametrization group NNPDF3.1sx.

关键词： quantum chromodynamics(QCD) perturbative QCD(pQCD) proton structure function small-x Balitsky-Kovchegov equation

Characterization of tumors of jaw:Additive value of contrast enhancement and dual-energy computed tomography

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World Journal of Radiology 2024年第4期16卷 82-93页

作者： Deepak Justine Viswanathan Ashu Seith Bhalla Smita Manchanda Ajoy Roychoudhury Deepika Mishra asit ranjan Mridha Department of Radiodiagnosis and Interventional Radiology All India Institute of Medical SciencesNew Delhi 110029India Department of Oral and Maxillofacial Surgery All India Institute of Medical SciencesNew Delhi 110029India Department of Oral Pathology and Microbiology All India Institute of Medical SciencesNew Delhi 110029India Department of Pathology All India Institute of Medical SciencesAnsari NagarNew Delhi 110029India

BACKGROUND Currently,the differentiation of jaw tumors is mainly based on the lesion’s morphology rather than the enhancement characteristics,which are important in the differentiation of neoplasms across the *** is a paucity of literature on the enhancement characteristics of jaw *** is mainly because,even though computed tomography(CT)is used to evaluate these lesions,they are often imaged without intravenous *** study hypothesised that the enhancement characteristics of the solid component of jaw tumors can aid in the differentiation of these lesions in addition to their morphology by dual-energy CT,therefore improving the ability to differentiate between various *** To evaluate the role of contrast enhancement and dual-energy quantitative parameters in CT in the differentiation of jaw *** Fifty-seven patients with jaw tumors underwent contrast-enhanced dual-energy *** analysis of the tumor,including the enhancing solid component,was done,followed by quantitative analysis of iodine concentration(IC),water concentration(WC),HU,and normalized *** study population was divided into four subgroups based on histopathological analysis-central giant cell granuloma(CGCG),ameloblastoma,odontogenic keratocyst(OKC),and other jaw tumors.A one-way ANOVA test for parametric variables and the Kruskal-Wallis test for nonparametric variables were *** significant differences were found,a series of independent t-tests or Mann-Whitney U tests were *** Ameloblastoma was the most common pathology(n=20),followed by CGCG(n=11)and *** showed a higher mean concentration of all quantitative parameters than ameloblastomas(P<0.05).An IC threshold of 31.35×100μg/cm^(3) had the maximum sensitivity(81.8%)and specificity(65%).Between ameloblastomas and OKC,the former showed a higher mean concentration of all quantitative parameters(P<0.001),however when comparing unilocular ameloblastomas with OKCs,the latter showed

关键词： Jaw neoplasms Ameloblastomas Dual-energy computed tomography Iodine quantification Mandibular neoplasms Maxillary neoplasms

An improved reverse time migration for subsurface imaging over complex geological structures:A numerical study

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 290-297页

作者： Alok Kumar Routa Priya ranjan Monahty Department of Applied Geophysics IIT(ISM)DhanbadJharkhandIndia

In seismic exploration,it is a critical task to image and interpret different seismic signatures over complex geology due to strong lateral velocity contrast,steep reflectors,overburden strata and dipping *** understand the behavior of these seismic signatures,nowadays Reverse Time Migration(RTM)technique is used extensively by the oil&gas *** the extrapolation phase of RTM,the source wavefield needs to be saved,which needs high storage memory and large computing *** two are the main obstacles of RTM for production *** order to overcome these disadvantages,in this study,a second-generation improved RTM technique is *** this improved form,a shift operator is introduced at the time of imaging condition of RTM algorithm which is performed automatically both in space and time *** effort is made to produce a better-quality image by minimizing the computational time as well as numerical *** proposed method is applied over various benchmark models and validated by implementing over one field data set from the Jaisalmer Basin,*** the analysis,it is observed that the method consumes a minimum of 45%less storage space and reduce the execution time by 20%,as compared to conventional *** proposed RTM is found to work efficiently in comparison to the conventional RTM both in terms of imaging quality and minimization of numerical artefacts for all the benchmark models as well as field data.

关键词： Imaging condition Reverse time migration(RTM) Seismic imaging Velocity-depth model Wave propagation

Doppler-resilient waveform design in integrated MIMO radar-communication systems

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Science China(Information Sciences) 2024年第1期67卷 187-202页

作者： Zhengchun ZHOU Bing LIU Bingsheng SHEN Avik ranjan ADHIKARY Pingzhi FAN Institute of Mobile Communications Southwest Jiaotong University Department of Mathematics Southwest Jiaotong University

In recent years,the increased high-rate wireless services(5G and 6G) and reliable sensing capabilities(automotive radar,air traffic control,geophysical monitoring),have led to more serious spectrum ***,radars and communication systems are often seen to be “competing” for the same *** this scenario,an integrated platform for radar and communication systems seems to be an optimal solution to address the *** this paper,we propose a preamble waveform design based on zero-correlation zone(ZCZ) and zero odd-correlation zone(ZOCZ) sequence sets,which are Doppler resilient in multiple-input,multiple-output(MIMO) *** preamble waveforms can be simultaneously used for channel estimation and radar sensing in RadCom *** ambiguity function of the proposed waveforms displays low/zero sidelobes within a time-delay correlation ***,we give some numerical results to show the efficiency of the proposed waveforms in radar sensing and channel estimation.

关键词： ambiguity function correlation channel estimation integrated radar and communication (RadCom) systems MIMO radar zero correlation zone (ZCZ) sequence set zero odd-correlation zone (ZOCZ) sequence set

Prediction of bearing capacity of pile foundation using deep learning approaches

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Frontiers of Structural and Civil Engineering 2024年第6期18卷 870-886页

作者： Manish KUMAR Divesh ranjan KUMAR Jitendra KHATTI Pijush SAMUI Kamaldeep Singh GROVER Department of Civil Engineering SRM Institute of Science and Technology Tiruchirappalli CampusTrichy 621105India Department of Civil Engineering National Institute of Technology PatnaBihar 800005India Department of Civil Engineering Faculty of EngineeringThammasat School of EngineeringThammasat UniversityBangkok10200Thailand Department of Civil Engineering Rajasthan Technical UniversityKota 324010India

The accurate prediction of bearing capacity is crucial in ensuring the structural integrity and safety of pile *** research compares the Deep Neural Networks(DNN),Convolutional Neural Networks(CNN),Recurrent Neural Networks(RNN),Long Short-Term Memory(LSTM),and Bidirectional LSTM(BiLSTM)algorithms utilizing a data set of 257 dynamic pile load tests for the first ***,this research illustrates the multicollinearity effect on DNN,CNN,RNN,LSTM,and BiLSTM models’performance and accuracy for the first time.A comprehensive comparative analysis is conducted,employing various statistical performance parameters,rank analysis,and error matrix to evaluate the performance of these *** performance is further validated using external validation,and visual interpretation is provided using the regression error characteristics(REC)curve and Taylor *** from the comparative analysis reveal that the DNN(Coefficient of determination(R^(2))_(training(TR))=0.97,root mean squared error(RMSE)_(TR)=0.0413;R^(2)_(testing(TS))=0.9,RMSE_(TS)=0.08)followed by BiLSTM(R^(2)_(TR)=0.91,RMSE_(TR)=0.782;R^(2)_(TS)=0.89,RMSE_(TS)=0.0862)model demonstrates the highest performance *** is noted that the BiLSTM model is better than LSTM because the BiLSTM model,which increases the amount of information for the network,is a sequence processing model made up of two LSTMs,one of which takes the input in a forward manner,and the other in a backward *** prediction of pile-bearing capacity is strongly influenced by ram weight(having a considerable multicollinearity level),and the effect of the considerable multicollinearity level has been determined for the model based on the recurrent neural network *** this study,the recurrent neural network model has the least performance and accuracy in predicting the pile-bearing capacity.

关键词： deep learning algorithms high-strain dynamic pile test bearing capacity of the pile

The Golden Spice Turmeric (<i>Curcuma longa</i>) and Its Feasible Benefits in Prospering Human Health—A Review

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American Journal of Plant Sciences 2021年第3期12卷 455-475页

作者： Jyoti Prakash sahoo Laxmipreeya Behera Jannila Praveena Shraddha Sawant Ankita Mishra Siddhartha Shankar Sharma Lipi Ghosh Ambika Prasad Mishra asit ranjan sahoo Pranay Pradhan Subhasmita Sahu Ankit Moharana Kailash Chandra Samal Department of Agricultural Biotechnology Odisha University of Agriculture and Technology Bhubaneswar India Department of Fruit Science and Horticulture Technology Odisha University of Agriculture and Technology Bhubaneswar India Department of Plant Pathology Odisha University of Agriculture and Technology Bhubaneswar India Department of Plant Breeding and Genetics Odisha University of Agriculture and Technology Bhubaneswar India Department of Genetics and Plant Breeding and Seed Science & Technology Centurion University of Technology and Management Parlakhemundi India School of Development Studies Tata Institute of Social Sciences Mumbai India Department of Soil Science and Agricultural Chemistry Faculty of Agriculture Sri Sri University Cuttack India Department of Nematology Odisha University of Agriculture and Technology Bhubaneswar India Department of Floriculture and Landscaping Odisha University of Agriculture and Technology Bhubaneswar India Department of Seed Science and Technology Odisha University of Agriculture and Technology Bhubaneswar India

From the evolution of the mankind, Turmeric has been used in conventional medication. India is in lead for producing, marketing and exporting the Turmeric and its value added products. Curcuma longa (Turmeric) is an Indian rhizomatous medicinal herb from the Zingiberaceae family that is common and widely available across the globe. The components of Turmeric are curcumin, demethoxycurcumin and bisdemethoxycurcumin and these are collectively known as curcuminoids. Curcumin, the active ingredient of Turmeric is generally investigated by the scientific community for its wide range of antioxidant activity, anti-Inflammatory properties and anti-cancer activity, anti-metabolic syndrome activities, neuroprotective activity, antimicrobial effects, anti-arthritis effects, anti-viral effects, anti-asthma and anti-diabetic effects, anti-obesity, cardio and liver toxicity protection activity, anti-depression and anxiety activities. Turmeric has been widely used as a typical household treatment for cough, sore throat, respiratory ailments and could be an effective immunity booster against SARS-CoV-2 therapy during the ongoing pandemic situation. Safety evaluation studies indicate that both turmeric and curcumin are well tolerated at a very high dose without any toxic effects. Thus, turmeric and its constituents have the potential for the development of modern medicine for the treatment of various diseases. So in this review, we describe the various metabolic roles of curcumin and activities for the benefit of human health.

关键词： Turmeric Plant Extracts Curcumin Medicinal Properties SARS-CoV-2 Immunity

Improving Heat Transfer in Parabolic Trough Solar Collectors by Magnetic Nanofluids

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Energy Engineering 2024年第4期121卷 835-848页

作者： Ritesh Singh Abhishek Gupta Akshoy ranjan Paul Bireswar Paul Suvash C.Saha Department of Applied Mechanics Motilal Nehru National Institute of Technology AllahabadPrayagrajIndia Department of Mechanical and Mechatronic Engineering University of Technology SydneySydneyAustralia

A parabolic trough solar collector(PTSC)converts solar radiation into thermal ***,low thermal efficiency of PTSC poses a hindrance to the deployment of solar thermal power *** performance of PTSC is enhanced in this study by incorporating magnetic nanoparticles into the working *** circular receiver pipe,with dimensions of 66 mm diameter,2 mm thickness,and 24 m length,is exposed to uniform temperature and velocity *** working fluid,Therminol-66,is supplemented with Fe3O4 magnetic nanoparticles at concentrations ranging from 1%to 4%.The findings demonstrate that the inclusion of nanoparticles increases the convective heat transfer coefficient(HTC)of the PTSC,with higher nanoparticle volume fractions leading to greater heat transfer but increased pressure *** thermal enhancement factor(TEF)of the PTSC is positively affected by the volume fraction of nanoparticles,both with and without a magnetic ***,the scenario with a 4%nanoparticle volume fraction and a magnetic field strength of 250 G exhibits the highest TEF,indicating superior thermal *** findings offer potential avenues for improving the efficiency of PTSCs in solar thermal plants by introducing magnetic nanoparticles into the working fluid.

关键词： Parabolic trough solar collector(PTSC) magnetic nanofluid(MNF) heat transfer convective heat transfer coefficient(HTC) thermal enhancement factor(TEF)

Erosive Wear Study of PPLSF/Glass Fiber Reinforced Hybrid Laminates

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Journal of Harbin Institute of Technology(New Series) 2024年第2期31卷 68-79页

作者： Chetana Tripathy Deepak Kumar Mohapatra Chitta ranjan Deo Punyapriya Mishra Department of Mechanical Engineering Veer Surendra Sai University of Technology(VSSUT)Sambalpur 768018India

This work is focused to examine the erosive performance of hybrid Palmyra palm leaf stalk fiber(PPLSF)/glass polyester laminate against solid particle bombardment.A hand lay-up method was adopted for the fabricating four piles of five distinct laminates with different stacking order glass and PPLSF *** them,one group of pure PPLSF and pure E-glass laminates were *** hybrid laminates were exposed to high speed stream of solid sand particle at three distinct impact velocities(48,70 and 82 m/s)and four different angles of impingement(30°,45°,60°and 90°).The effect of particle velocity,angle of impingement and stacking order on both wear rate and efficiency were *** experimental assessment reveals a significant improvement in erosive wear resistance properties due to hybridization of PPLSF with ***,the laminates with PPLSF layer as skin and glass as core layer exhibited better erosive wear resistance properties than other types of ***,a maximum value of erosion at lower velocity(48 m/s)is also noticed at 45°impingement ***,at high velocity of impact 70 m/s and 82 m/s,the maximum rate of erosion has been shifted from 45°impact angle to 60°impact *** alternation of this semi-ductile character to semi-brittle character is evidenced by analyzing the experimental *** to justify the mode of erosion,the eroded surface samples were inspected by scanning electron microscope(SEM).

关键词： hybrid composites erosion wear void micro-hardness SEM

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