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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

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

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

Enhancing Critical Path Problem in Neutrosophic Environment Using Python

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2957-2976页

作者： M.Navya Pratyusha ranjan kumar VIT-AP University InavoluBesides AP SecretariatAmaravati APIndia

In the real world,one of the most common problems in project management is the unpredictability of resources and *** efficient way to resolve uncertainty problems and overcome such obstacles is through an extended fuzzy approach,often known as neutrosophic *** rigorous proposed model has led to the creation of an advanced technique for computing the triangular single-valued neutrosophic *** innovative approach evaluates the inherent uncertainty in project durations of the planning phase,which enhances the potential significance of the decision-making process in the *** proposed method,for the first time in the neutrosophic set literature,not only solves existing problems but also introduces a new set of problems not yet explored in previous research.A comparative study using Python programming was conducted to examine the effectiveness of responsive and adaptive planning,as well as their differences from other existing models such as the classical critical path problem and the fuzzy critical path *** study highlights the use of neutrosophic logic in handling complex projects by illustrating an innovative dynamic programming framework that is robust and flexible,according to the derived results,and sets the stage for future discussions on its scalability and application across different industries.

关键词： Classical critical path problem fuzzy critical path problem uncertainty neutrosophic triangular single-valued neutrosophic number neutrosophic critical path problem python programming languag

Structural build-up model for three-dimensional concrete printing based on kinetics theory

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Frontiers of Structural and Civil Engineering 2024年第7期18卷 998-1014页

作者： Prabhat ranjan PREM P.S.AMBILY Shankar kumar Greeshma GIRIDHAR Dengwu JIAO Advanced Materials Laboratory CSIR-Structural Engineering Research CentreChennai 600113India Department of Architecture and Civil Engineering City University of Hong KongHong Kong 999077China

The thixotropic structural build-up is crucial in extrusion-based three-dimensional(3D)concrete *** paper uses a theoretical model to predict the evolution of static and dynamic yield stress for printed *** model employs a structural kinetics framework to create a time-independent constitutive link between shear stress and shear *** model considers flocculation,deflocculation,and chemical hydration to anticipate structural *** reversible and irreversible contributions that occur throughout the build-up,breakdown,and hydration are defined based on the proposed structural ***,detailed parametric studies are conducted to evaluate the impact of model *** is revealed that the proposed model is in good agreement with the experimental results,and it effectively characterizes the structural build-up of 3D printable concrete.

关键词： structural build-up rheology thixotropy 3D printable concrete kinetics theory ultra high performance concrete

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

Erosion Wear Behaviour of Kenaf/Glass Hybrid Polymer Composites

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Journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 78-89页

作者： Chandrakanta Mishra Deepak kumar Mohapatra Chitta ranjan Deo Punyapriya Mishra Kiran kumar Ekka Department of Mechanical Engineering Veer Surendra Sai University of TechnologySambalpur 768018India

The awareness amongst the researchers to develop an environment friendly sustainable material leads to explore new class of plant-based fiber for making composites. Hybridization of such plant-based fiber with inclusion of engineered fiber is one of the promising methods to not only enhanced the mechanical performance but also suppressed the drawbacks that associate with such plant-based fiber to some extent. A usual hand lay-up method was taken-up in this work to fabricate four layered of hybrid kenaf(K)/glass(G)polyester laminates with different stacking order such as KKKK,KGKG,KGGK,GKKG and GGGG. The erosive character of the laminates was examined under three distinct particle velocities(48m/s, 70m/s,82m/s)and four different impact angles(30°, 45°, 60°, 90°). All fabricated laminates exhibited a semiductile character at lower velocities(48m/s and70m/s)as peak wear rate was observed at45° impact angle. However,they showed a semi-brittle character at high velocity(82m/s)as maximum rate of erosion was noticed at60° impact angle. Again,the influence of stacking order of piles on erosion wear was also clearly noticed. Moreover,the semi-brittle/semi-ductile characterization was also evidenced in accordance to the range of erosion efficiencies. The micro-structures of worn surfaces were inspected thoroughly from the images of scanning electron microscope(SEM)to evident the mechanism of erosion.

关键词： hybrid composites erosion wear void micro⁃hardness

Leukemic stromal hematopoietic microenvironment negatively regulates the normal hematopoiesis in mouse model of leukemia

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Chinese Journal of Cancer 2010年第12期29卷 969-979页

作者： Pratima Basak Sumanta Chatterjee Prosun Das Madhurima Das Jacintha Archana Pereira ranjan kumar dutta Malay Chaklader Samaresh Chaudhuri Sujata Law Department of Biochemistry and Medical Biotechnology Stem Cell Research and Application Unit Calcutta School of Tropical Medicine

Background and Objective: Leukemic microenvironment has a major role in the progression of leukemia. Leukemic cells can induce reversible changes in microenvironmental components, especially the stromal function which results in improved growth conditions for maintaining the malignant leukemic cells. This study aimed to investigate the survival advantage of leukemic cells over normal hematopoietic cells in stromal microenvironment in long term. Methods: The mice were injected intraperitoneally with N-N’ ethylnitrosourea (ENU) to induce leukemia; the mice received injection of normal saline were used as control. At 180 days after ENU induction, the mice were killed and the bone marrows were cultured for 19 days. Colony-forming assays were used to analyze the formation of various cell colonies. The expression of Sca-1, CD146, VEGFR2, CD95, pStat3, pStat5, and Bcl-xL in marrow cells were detected by flow cytometry. Results: Long-term leukemic bone marrow culture showed abnormal elongated stromal fibroblasts with almost absence of normal hematopoietic cells. Adherent cell colonies were increased, but CFU-F and other hematopoietic cell colonies were significantly decreased in leukemia group (P< 0.001). Primitive progenitor-specific Sca-1 receptor expression was decreased with subsequent increased expression of CD146 and VEGFR-2 in leukemic bone marrow cells. Decreased Fas antigen expression with increased intracellular pStat3, pStat5 and Bcl-xL proteins were observed in leukemic bone marrow cells. Conclusions: Stromal microenvironment shows altered morphology and decreased maturation in leukemia. Effective progenitor cells are decreased in leukemia with increased leukemia-specific cell population. Leukemic microenvironment plays a role in promoting and maintaining the leukemic cell proliferation and survivability in long term.

关键词：白血病细胞环境基质造血功能小鼠负调控造血微环境骨髓细胞集落形成

Performance Improvement of Kenaf/Glass Polymer Hybrid Composites by Effective Application of Fish Scale Powder as Filler:A Novel Approach

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Journal of Harbin Institute of Technology(New Series) 2024年第3期31卷 80-96页

作者： Chandrakanta Mishra Deepak kumar Mohapatra Chitta ranjan Deo Chetana Tripathy Kiran kumar Ekka Department of Mechanical Engineering Veer Surendra Sai University of TechnologySambalpur 768018OdishaIndia

Modern technology for developing new items made from renewable resources is becoming more and more popular as a result of rising environmental ***,contemporary polymer composites have included the hybridization of natural fibers with synthetic ones,along with the inclusion of a variety of biowaste filler for developing sustainable *** this work,the kenaf/glass hybrid polyester composites are strengthened by the addition of fish scale(FS),which is taken from the fish􀆳s outermost layer of *** different stacked-order laminates,such as KKKK,KGKG,GKKG,KGGK,and GGGG,are fabricated by using the hand lay-up method with four different weight concentrations of filler content:0%,5%,10%,and 15%.Mechanical possessions such as tensile,flexural,impact strength and micro-hardness have been evaluated through experimentation in accordance with ASTM *** experimental findings revealed that,the tensile strength and micro-hardness value of KGKG laminates with 15wt% of FS filler are found to be maximum of 118.72 MPa and 17.82 HV respectively which are 39.67%and 26.11%greater than that of KGKG laminates without FS ***,the flexural and impact strength of same laminates with 10 wt% FS filler exhibited a maximum value of 142.77 MPa and 62.08 kJ/m^(2).In order to corroborate its applicability for structural and building materials in open environment,the dimensional stability of the composite has been studied through moisture absorption *** influences of FS filler loading on dimensional stability and resistance to moisture absorption capacity of laminates are also *** experimental results reflected that the addition of FS-filler has significantly improved the dimensional stability of the laminates in moist environment by reducing the moisture absorption *** further support the mode of failures,a fractography investigation of fractured surfaces was conducted.

关键词： fish scale fiber polyester hybrid composites mechanical properties

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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