检索结果-南通市图书馆

Nano-Enhanced Dairy Scum Biodiesel Blends:Unleashing the Power of Aluminium Oxide for Sustainable and Efficient Engine Performance

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 Thermal Science 2025年第1期34卷 283-302页

作者： Veeranna MODI Prasad B.RAMPURE Sunil Kumar SHETTY Madeva NAGARAL Channa Keshava NAIK N Johar MGM Muhammad Irsyad ABDULLAH Abdullah I.AL-MANSOUR Shamshad ALAM KLE College of engineering and Technology ChikodiVisvesvaraya Technological University Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT)Department of Mechanical Engineering Aircraft Research and Design Centre HAL Department of Mechanical engineering BGS College of Engineering and TechnologyBengaluruAffiliated to Visvesvaraya Technological University management and Science University Department of Civil engineering College of EngineeringKing Saud University

This study investigates the effect of aluminium oxide nanoparticlesaddition to biodiesel blends made from dairy milk scum on performance and combustion characteristics of the diesel *** dispersion of Al2O3nanoparticles in B20 blends at different concentrations was done with the help of *** number of blends were prepared for the *** Machine learning algorithms(Random Forest（RF）and CatBoost) was used for the *** results show that in comparison to biodiesel blends without nanoparticles,the kinematic viscosity and density is higher for fuel blends with *** these Fuel blends have higher calorific *** blends exhibited reduced Brake Specific Fuel Consumption（BSFC） of2.85% than the blends without nano particles(Dairy Scum Methyl Ester Biodiesel 20%+Neat Diesel 80%（in volume）,DSMEB20),57.14% less CO,40.8% less hydrocarbon,and increased NOxemissions compared to conventional diesel,contributing to the development of environmentally friendly and renewable biofuel blends with *** B20NP30 is the optimal blend for performance and emission *** study concludes with findings on enhanced Brake Thermal Efficiency（BTE） of 26.29% in 3×10-5（in volume） Al2O3nanoparticle-blended DSME B20 and other DSME B20 fuel blends,emphasizing the importance of optimal nanoparticle *** correlation matrix shows how engine load,efficiency measures（BTE,BSFC）,and emissions（CO,CO2,NOx,Smoke） are connected in complex *** results help us understand the complicated dynamics of engine performance and emission characteristics ***'s diagram for BTE and BSFC shows that CatBoost-based BTE models perform superior to RF-based models during the training as well as testing *** results were obtained for CO and CO2emission results.

关键词： Al2O3 concentration CI engine Dairy Scum Methyl Ester Biodiesel

Life-Cycle Bearing Capacity for Pre-Stressed T-beams Based on Full-Scale Destructive Test

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Structural Durability & Health Monitoring 2025年第1期19卷 145-166页

作者： Yushan Ye Tao Gao Liankun Wang Junjie Ma Yingchun Cai Heng Liu Xiaoge Liu China Construction Seventh engineering Division Corp. Ltd.Zhengzhou450004China School of water Conservancy and Transportation Zhengzhou UniversityZhengzhou450001China

To investigate the evolution of load-bearing characteristics of pre-stressed beams throughout their service life and to provide a basis for accurately assessing the actual working state of damaged pre-stressed concrete T-beams,destructive tests were conducted on full-scale pre-stressed concrete *** on the measurement and ana-lysis of beam deﬂection,strain,and crack development under various loading levels during the research tests,combined with the veriﬁcation coefﬁcient indicators speciﬁed in the codes,the veriﬁcation coefﬁcients of bridges at different stages of damage can be *** results indicate that the T-beams experience complete,incom-plete linear,and non-linear stages during the destructive test *** the complete linear elastic stage,both the deﬂection and bottom strain veriﬁcation coefﬁcients comply with the speciﬁcations,indicating a good structural load-bearing capacity no longer adheres to the code’s *** the non-linear stage,both coefﬁcients exhi-bit a sharp increase,resulting in a further decrease in the structure’s load-bearing *** to the pro-visions of the current code,the beam can be in the incomplete linear stage when both values fall within the code’s speciﬁed *** strain veriﬁcation coefﬁcient sourced from the compression zone at the bottom of theﬂange is not recommended for assessing the bridge’s load-bearing capacity.

关键词： Pre-stressed T-beams whole process destructive test bearing capacity veriﬁcation coefﬁcient

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and water management Bucharest013686Romania Department of Civil engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Role of copper chelating agents: between old applications and new perspectives in neuroscience

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第3期20卷 751-762页

作者： Rosalba Leuci Leonardo Brunetti Vincenzo Tufarelli Marco Cerini Marco Paparella Nikola Puvača Luca Piemontese Department of Pharmacy-Pharmaceutical Science University of Bari Aldo MoroBariItaly Department of Precision and Regenerative Medicine and Jonian Area(DiMePRe-J) Section of Veterinary Science and Animal ProductionUniversity of Bari Aldo MoroBariItaly Department of engineering management in Biotechnology Faculty of Economics and Engineering Management in Novi SadUniversity Business Academy in Novi SadNovi SadSerbia

The role of copper element has been an increasingly relevant topic in recent years in the fields of human and animal health, for both the study of new drugs and innovative food and feed supplements. This metal plays an important role in the central nervous system, where it is associated with glutamatergic signaling, and it is widely involved in inflammatory processes. Thus, diseases involving copper(Ⅱ) dyshomeostasis often have neurological symptoms, as exemplified by Alzheimer's and other diseases(such as Parkinson's and Wilson's diseases). Moreover, imbalanced copper ion concentrations have also been associated with diabetes and certain types of cancer, including glioma. In this paper, we propose a comprehensive overview of recent results that show the importance of these metal ions in several pathologies, mainly Alzheimer's disease, through the lens of the development and use of copper chelators as research compounds and potential therapeutics if included in multi-target hybrid drugs. Seeing how copper homeostasis is important for the well-being of animals as well as humans, we shortly describe the state of the art regarding the effects of copper and its chelators in agriculture, livestock rearing, and aquaculture, as ingredients for the formulation of feed supplements as well as to prevent the effects of pollution on animal productions.

关键词： agriculture Alzheimer's disease chelators copper feed supplements multi-target

维普期刊数据库

Boosting cationic and anionic redox activity of Li-rich layered oxide cathodes via Li/Ni disordered regulation

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第1期100卷 533-543页

作者： Zewen Liu Zhen Wu Hao Wang Xudong Zhang Yuanzhen Chen Yongning Liu Shengwu Guo Shenghua Chen Yanli Nan Yan Liu State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University School of Materials Science and engineering Xi'an University of Architecture and Technology Hefei Advanced Computing Center Operation management Corp Ltd Network Information Center Xi'an Jiaotong University

Lithium-rich layered oxides （LLOs） are increasingly recognized as promising cathode materials for nextgeneration high-energy-density lithium-ion batteries （LIBs）.However,they suffer from voltage decay and low initial Coulombic efficiency （ICE） due to severe structural degradation caused by irreversible O ***,we introduce a three-in-one strategy of increasing Ni and Mn content,along with Li/Ni disordering and TM–O covalency regulation to boost cationic and anionic redox activity simultaneously and thus enhance the electrochemical activity of *** target material,Li1.2Ni0.168Mn0.558Co0.074O2（L1）,exhibits an improved ICE of 87.2%and specific capacity of 293.2 mA h g-1and minimal voltage decay of less than 0.53 m V cycle-1over 300 cycles at 1C,compared to Li1.2Ni0.13Mn0.54Co0.13O2（Ls）(274.4 mA h g-1for initial capacity,73.8%for ICE and voltage decay of 0.84 mV/cycle over 300 cycles at 1C).Theoretical calculations reveal that the density of states （DOS） area near the Fermi energy level for L1 is larger than that of Ls,indicating higher anionic and cationic redox reactivity than ***,L1 exhibits increased O-vacancy formation energy due to higher Li/Ni disordering of 4.76%（quantified by X-ray diffraction Rietveld refinement） and enhanced TM–O covalency,making lattice O release more difficult and thus improving electrochemical *** increased Li/Ni disordering also leads to more Ni2+presence in the Li layer,which acts as a pillar during Li+de-embedding,improving structural *** research not only presents a viable approach to designing low-Co LLOs with enhanced capacity and ICE but also contributes significantly to the fundamental understanding of structural regulation in high-performance LIB cathodes.

关键词： Ice

Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural network

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Structural and Civil engineering 2021年第5期15卷 1181-1198页

作者： Plaban DEB Sujit Kumar PAL Department of Civil engineering G H Raisoni College of Engineering&ManagementPune 412207India Department of Civil engineering National Institute of TechnologyAgartala 799046India

In the recent era,piled raft foundation(PRF)has been considered an emergent technology for offshore and onshore *** previous studies,there is a lack of illustration regarding the load sharing and interaction behavior which are considered the main intents in the present *** element(FE)models are prepared with various design variables in a double-layer soil system,and the load sharing and interaction factors of piled rafts are *** obtained results are then checked statistically with nonlinear multiple regression(NMR)and artificial neural network(ANN)modeling,and some prediction models are *** models are prepared with Levenberg-Marquardt(LM)algorithm for load sharing and interaction factors through backpropagation *** factor of safety(FS)of PRF is also estimated using the proposed NMR and ANN models,which can be used for developing the design strategy of PRF.

关键词： interaction load sharing ratio piled raft nonlinear regression artificial neural network

维普期刊数据库

Market Drivers in India’s Smart Grid:Responsibilities and Roles of Stakeholders

在线全文

学校读者我要写书评

暂无评论

Energy engineering 2025年第1期122卷 101-128页

作者： Abhay Sanatan Satapathy Suresh Kumar Sahoo Asit Mohanty Yasser Fouad Manzoore ElahiMohammad Soudagar Erdem Cuce Faculty of management Studies Sri Sri UniversityCuttack754006India Institute of Power engineering National Energy UniversityJalan Ikram-UnitenKajangSelangor43000Malaysia Centre of Research Impact and Outcome Chitkara UniversityRajpura140417PunjabIndia Department of Applied Mechanical engineering College of Applied EngineeringMuzahimiyah BranchKing Saud UniversityRiyadh11421Saudi Arabia College of engineering Lishui UniversityLishui323000China Department of Mechanical engineering Graphic Era(Deemed to be University)Dehradun248002UttarakhandIndia Department of Mechanical engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Department of Mechanical engineering Faculty of Engineering and ArchitectureRecep Tayyip Erdogan UniversityZihni Derin CampusRize53100Turkey Center for Research Impact&Outcome Chitkara UniversityRajpura140401PunjabIndia University Centre for Research and Development Chandigarh UniversityMohali140413PunjabIndia

The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder *** study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders,such as government entities,utility companies,technology suppliers,and *** activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives,regulatory assistance,and strategic *** firms have the responsibility of implementing and integrating smart grid infrastructure,with an emphasis on improving the dependability of the grid,minimizing losses in transmission and distribution,and integrating renewable energy *** companies offer the essential hardware and software solutions,which stimulate creativity and enhance *** actively engage in the energy ecosystem by participating in demand response,implementing energy saving measures,and adopting distributed energy resources like solar panels and electric *** study examines the difficulties and possibilities in India’s smart grid industry,highlighting the importance of cooperation among stakeholders to build a strong,effective,and environmentally friendly energy future.

关键词： Smart grid stakeholders smart grid technology market drivers

Development of IoT-Based Condition Monitoring System for Bridges

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Sound & Vibration 2022年第3期56卷 209-220页

作者： Sheetal A.Singh Suresh S.Balpande Department of Electronics engineering Shri Ramdeobaba College of Engineering&ManagementNagpurIndia

As of April 2019,India has 1,42,126 kilometres of National Highways and 67,368 kilometres of railway tracks that reach even the most remote parts of the *** are critical for both passenger and freight movement in the *** bridges play such an important part in the transportation system,their safety and upkeep must be *** Condition Monitoring has the disadvantage of being sluggish,unreliable,and *** Internet of Things has given structural monitoring a *** decreases in the cost of electronics and connection,together with the expansion of cloud platforms,have made it possible to collect large amounts of data remotely,aggregate it,and perform essential analysis to generate actionable *** research focuses on a scalable system for monitoring the state of bridges,such as vibration and loading,employing multimodal inputs,controllers,and Wi-Fi *** accelerometer and load cells were installed on the prototype,tested for a sample load(56.21 grams_(avg),590 grams_(max),and 147.66 grams_(rms))with induced vibration(5.87 m/sec^(2)_(avg),18 m/sec^(2)_(max),and 7.04 m/sec^(2)_(rms))that are processed,displayed on-board,and uploaded to ThingSpeak cloud *** system will aid the maintenance personnel in remotely monitoring *** system can send out notifications if any of these parameters exceeds their threshold value,allowing you to take preventive measures ahead of time.

关键词： Accelerometer bridges IoT sensors structure health monitoring ThingSpeak

Impact of risk management strategies on the credit risk faced by commercial banks of Balochistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Financial Innovation 2019年第1期5卷 761-773页

作者： Zia Ur Rehman Noor Muhammad Bilal Sarwar Muhammad Asif Raz Balochistan University of Information Technology engineering&management Sciences QuettaPakistan

This study aims to identify risk management strategies undertaken by the commercial banks of Balochistan,Pakistan,to mitigate or eliminate credit *** findings of the study are significant as commercial banks will understand the effectiveness of various risk management strategies and may apply them for minimizing credit *** explanatory study analyses the opinions of the employees of selected commercial banks about which strategies are useful for mitigating credit *** data was collected from 250 employees of commercial banks to perform multiple regression analyses,which were used for the *** results identified four areas of impact on credit risk management(CRM):corporate governance exerts the greatest impact,followed by diversification,which plays a significant role,hedging and,finally,the bank’s Capital Adequacy *** study highlights these four risk management strategies,which are critical for commercial banks to resolve their credit risk.

关键词： Credit risk Risk management strategies Financial risk Capital adequacy ratio Hedging Corporate governance Diversification