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ENSO-induced Latitudinal Variation of the Subtropical Jet Modulates Extreme Winter Precipitation over the Western Himalaya

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Advances in Atmospheric Sciences 2025年第3期42卷 427-437页

作者： Priya BHARATI Pranab DEB Kieran M.R.HUNT Andrew ORR Mihir kumar DASH Centre for Ocean RiverAtmosphere and Land Sciences(CORAL)Indian Institute of Technology KharagpurKharagpur 721302India Department of Meteorology University of ReadingReadingRG66ETUK National Centre for Atmospheric Science University of ReadingRG66ETUK British Antarctic Survey CambridgeCB30ETUK

In this study,we investigate the complex relationship between western disturbances(WDs),the El Ni?o–Southern Oscillation(ENSO),and extreme precipitation events(EPEs) in the western Himalaya(WH) during the extended winter season(November–March).WDs west of WH coincide with 97% of recorded EPEs,contributing substantially(32% in winter,11% annually) to total precipitation within *** are 6% less frequent and 4% more intense during El Ni?o than La Ni?a to the west of *** El Ni?o(compared to La Ni?a) years,WDs co-occurring with EPEs are significantly more intense and associated with 17% higher moisture transport over “WH box”(the selected region where most of the winter precipitation over WH occurs).This results in twice the EPE frequency during El Ni?o periods than La Ni?a periods.A substantial southward shift(~180 km) of the subtropical jet(STJ) axis during El Ni?o brings WD tracks further south towards their primary moisture sources,especially the Arabian *** have shown that WDs that are both more intense and pass to the south of their typical latitudes have higher levels of vertically integrated moisture flux(VIMF)within *** convergence in the most intense pentile of WDs is 5.7 times higher than in the weakest,and is 3.4 times higher in the second lowest latitude pentile than in the ***,this study demonstrates a direct link between changes in the latitudinal position and intensity of WDs associated with the winter STJ,and moisture convergence,which leads to the occurrence of EPEs over WH during ENSO phases.

关键词： western Himalaya extreme precipitation western disturbances ENSO moisture flux winter

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Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 357-384页

作者： Mohd Anjum Naoufel Kraiem Hong Min Ashit kumar Dutta Yousef Ibrahim Daradkeh Department of Computer Engineering Aligarh Muslim UniversityAligarh202002India College of Computer Science King Khalid UniversityAbha61413Saudi Arabia School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Machine learning(ML)is increasingly applied for medical image processing with appropriate learning *** applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for *** primary concern of ML applications is the precise selection of flexible image features for pattern detection and region *** of the extracted image features are irrelevant and lead to an increase in computation ***,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image *** process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel *** similarity between the pixels over the various distribution patterns with high indexes is recommended for disease ***,the correlation based on intensity and distribution is analyzed to improve the feature selection ***,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the ***,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of ***,the probability of feature selection,regardless of the textures and medical image patterns,is *** process enhances the performance of ML applications for different medical image *** proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected *** mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.

关键词： Computer vision feature selection machine learning region detection texture analysis image classification medical images

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Enhancing Classification Algorithm Recommendation in Automated Machine Learning: A Meta-Learning Approach Using Multivariate Sparse Group Lasso

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1611-1636页

作者： Irfan Khan Xianchao Zhang Ramesh kumar Ayyasamy Saadat M.Alhashmi Azizur Rahim School of Software Dalian University of TechnologyDalian116620China Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKampar31900Malaysia College of Computing and Informatics University of SharjahSharjah27272United Arab Emirates Department of Computer Systems Engineering University of Engineering and Applied SciencesSwat19200Pakistan

The rapid growth of machine learning(ML)across fields has intensified the challenge of selecting the right algorithm for specific tasks,known as the Algorithm Selection Problem(ASP).Traditional trial-and-error methods have become impractical due to their resource *** Machine Learning(AutoML)systems automate this process,but often neglect the group structures and sparsity in meta-features,leading to inefficiencies in algorithm recommendations for classification *** paper proposes a meta-learning approach using Multivariate Sparse Group Lasso(MSGL)to address these *** method models both within-group and across-group sparsity among meta-features to manage high-dimensional data and reduce multicollinearity across eight meta-feature *** Fast Iterative Shrinkage-Thresholding Algorithm(FISTA)with adaptive restart efficiently solves the non-smooth optimization *** validation on 145 classification datasets with 17 classification algorithms shows that our meta-learning method outperforms four state-of-the-art approaches,achieving 77.18%classification accuracy,86.07%recommendation accuracy and 88.83%normalized discounted cumulative gain.

关键词： Meta-learning machine learning automated machine learning classification meta-features

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Atomically precise M-N-C electrocatalysts for oxygen reduction:Effects of inter-site distance,metal-metal interaction,coordination environment,and spin states

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Journal of Energy Chemistry 2025年第2期101卷 132-155页

作者： Junfeng Huang Saira Ajmal Anuj kumar Jianwen Guo Mohammed Mujahid Alam Abdullah G.Al-Sehemi Ghulam Yasin School of Mechanical Engineering Dongguan University of Technology Nano-Technology Research Laboratory Department of Chemistry GLA University Department of Chemistry College of Science King Khalid University School of Environmental Science and Engineering Tianjin University State Key Laboratory of Chemical Resource Engineering College of Materials Science and Engineering Beijing University of Chemical Technology

Inspired by molecular catalysts,researchers developed atomically precise nitrogen-coordinated single or dual metal sites imbedded in graphitized carbon（M-N-C） to fully utilize metallic sites for *** catalysts performed remarkably well in the electrocatalytic oxygen reduction reaction（ORR） due to their distinct coordination and electrical structures,Nonetheless,their maximum efficacy in practical applications has yet to be *** agenda identifies tailoring the coordination environment,spin states,intersite distance,and metal-metal interaction as innovative approaches to regulate the ORR performance of these ***,it is necessary to undertake a precise assessment of these methodologies and the knowledge obtained to be implemented in the design of future M-N-C catalysts for ***,this review aims to analyze recent progress in M-N-C ORR catalysts,emphasizing their innovative engineering with aspects such as alteration in intersite distance,metal-metal interaction,coordination environment,and spin ***,we critically discuss how to logically monitor the atomic structure,local coordination,spin,and electronic states of M-N-C catalysts to modulate their ORR *** have also highlighted the challenges associated with M-N-C catalysts and proposed suggestions for their future design and fabrication.

关键词： Activity descriptors Electrocatalysis M-N-C electrocatalysts ORR Spin states

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QM/MM Based Study of Electronic Structure of Platinum Dihalides

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Open Journal of Applied Sciences 2025年第1期15卷 305-328页

作者： Anil kumar Soni Swati Vishnu kumar Sahu Department of Chemistry Shia Post Graduate College Lucknow India Academy of Scientific and Innovative Research NPL Chemical and Food BND Division CSIR-National Physical Laboratory New Delhi India Department of Chemistry Maharani Lal Kunwari Post Graduate College Balrmpur India

In this research work, atomic and molecular orbitals based analysis has been made to see electronic structure of platinum halides (platinum dichloride, platinum dibromide, platinum diiodide and platinum difluride). The geometry optimization and three dimensional (3D) modeling of the above mentioned species have been made on CAChe pro software. The results show: (i) The involvement of three p atomic orbitals is negligible as their summation values are very low in comparison to d orbital and considerably low with respect to s orbital. (ii) The study well support the Landis concepts of sdn-hybridation (here n = 1) as bond angle and contributions of s-orbital and d-orbital of Pt(II) are maximum with negligible contribution of p-orbitals. (iii) These halides also support the cloud-expanding effect with experimental data and also follow the nephelauxetic effect. The result is in good agreement with experiment results that covalent character increases in the order: PtI2 > PtBr2 > PtCl2 > PtF2. (iv) And thus the study will help to fine tune the existing complexes of these halides.

关键词： Platinum Dhalides Mulliken Population Analysis sd-Hybridization Molecular Orbital Diagram

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Spectroscopy of excited quarkonium states in the light-front quark model

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Chinese Physics C 2025年第02期 37-50页

作者： Ritwik Acharyya Satyajit Puhan Harleen Dahiya Narinder kumar Computational High Energy Physics Lab Department of PhysicsDr.B R Ambedkar National Institute of Technology Jalandhar Computational Theoretical High Energy Physics Lab Department of PhysicsDoaba College

We investigated the ground state(1S), radially excited states(2S) and(3S), and orbitally excited state(1P) for the heavy charmonia(c■) and bottomonia(b■) mesons in the light-front quark model(LFQM). The lightfront wave functions have been successful in explaining various physical properties of meson states in the past, especially for the 1S and 2S states. However, the radially excited state 3S and orbitally excited state 1P have rarely been investigated. In this study, we considered these two excited states and investigated the electromagnetic form factors(EMFFs), charge radii, decay constants, parton distribution functions(PDFs), and the distribution amplitudes(DAs)for the quarkonia system. For the sake of completeness, we also studied the ground and the first excited states of quarkonia mesons. We also illustrated the 3D wave functions for the radially excited states to study their nodal structures.

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Conformal Composition for Borderline Fractional Sobolev Spaces

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Acta Mathematica Sinica,English Series 2025年第1期41卷 457-471页

作者： Nijjwal Karak Pekka Koskela Debanjan Nandi Swadesh kumar Sahoo Department of Mathematics Birla Institute of Technoogy and Science Pilani-Hyderabad CampusHyderabad 500078India Department of Mathematics and Statistics University of JyvèaskylèaP.O.Box 35FI-40014 JyvèaskylèaFinland Faculty of Mathematics and Computer Science Weizmann Institute of Science234 Herzl StreetRehovot 76100Israel Department of Mathematics Indian Institute of Technology IndoreIndore 453552India

We establish a pointwise property for homogeneous fractional Sobolev spaces in domains with non-empty boundary,extending a similar result of Koskela–Yang–*** use this to show that a conformal map from the unit disk onto a simply connected planar domain induces a bounded composition operator from the borderline homogeneous fractional Sobolev space of the domain into the corresponding space of the unit disk.

关键词： Besov Hajlasz–Triebel–Lizorkin hyperbolic conformal

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Leveraging Artificial Intelligence to Achieve Sustainable Public Healthcare Services in Saudi Arabia: A Systematic Literature Review of Critical Success Factors

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1289-1349页

作者： Rakesh kumar Ajay Singh Ahmed Subahi Ahmed Kassar Mohammed Ismail Humaida Sudhanshu Joshi Manu Sharma Department of Health Management College of Public Health and Health InformaticsUniversity of Ha’ilHa’il81451Saudi Arabia Department of Management&Information Systems College of Business AdministrationUniversity of Ha’ilHa’il81451Saudi Arabia Department of Public Health College of Public Health and Health InformaticsUniversity of Ha’ilHa’il81451Saudi Arabia School of Management Doon UniversityDehradunUttarakhand248001India Department of Management Studies Graphic Era UniversityDehradunUttarakhand248002India

This review aims to analyze the development and impact of Artificial Intelligence(AI)in the context of Saudi Arabia’s public healthcare system to fulfill Vision 2030 *** is extensively devoted to AI technology deployment relevant to disease management,healthcare delivery,epidemiology,and ***,its AI is culturally sensitive and ethically grounded in *** on the PRISMA framework,an SLR evaluated primary academic literature,cases,and practices of Saudi Arabia’s AI implementation in the public healthcare ***,it categorizes prior research based on how AI can work,the issues it poses,and its implications for the Kingdom’s healthcare *** Saudi Arabian context analyses show that AI has increased the discreet prediction of diseases,resource management,and monitoring outbreaks during mass congregations such as ***,the study outlines critical areas for defining the potential for artificial intelligence and areas for enhancing digital development to support global healthcare *** key themes emerging from the review include Saudi Arabia:(i)the effectiveness of AI with human interaction for sustainable health services;(ii)conditions and quality control to enhance the quality of health care services using AI;(iii)environmental factors as influencing factors for public health care;(iv)Artificial Intelligence,and advanced decision-making technology for Middle Eastern health care *** policymakers,healthcare managers,and researchers who will engage with AI innovation,the review proclaims that AI applications should respect the country’s socio-cultural and ethical practices and pave the way for sustainable healthcare *** empirical research is needed on the implementation issues with AI,creating culturally appropriate models of AI,and finding new applications of AI to address the increasing demand for healthcare services in Saudi Arabia.

关键词： Artificial intelligence public health services sustainability healthcare Saudi Arabia PRISMA

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A Dynamic Workload Prediction and Distribution in Cloud Computing using Deep Reinforcement Learning and LSTM

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Journal of Harbin Institute of Technology(New series) 2025年

作者： Nampally Vijay kumar Satarupa Mohanty Prasant kumar Pattnaik School of Computer Engineering KIIT Deemed to be University Department of Computer Science and Business System B V RAJU Institute of Technology

Maintaining high-quality service supply and sustainability in modern cloud computing is essential to ensuring optimal system performance and energy efficiency. A novel approach is introduced in this study to decrease a system.s overall delay and energy consumption by utilising a deep reinforcement learning(DRL)model to predict and allocate incoming workloads flexibly. The proposed methodology integrates workload prediction utilising long short-term memory(LSTM)networks with efficient load-balancing techniques led by deep Q-learning and Actor-Critic algorithms. By continuously analysing current and historical data,the model can efficiently allocate resources,prioritizing speed and energy preservation. The experimental findings demonstrate that our load balancing system,which utilises DRL,significantly reduces average response times and energy usage compared to traditional methods. This approach provides a scalable and adaptable strategy for enhancing cloud infrastructure performance. It consistently provides reliable and durable performance across a range of dynamic workloads.

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

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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 Elahi Mohammad 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

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