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Journal of Advanced Dielectrics 2016年第4期6卷 45-52页

作者： T.Sreenivasu P.Tirupathi K.Prabahar b.suryanarayana K.Chandra Mouli Department of Engineering Physics Andhra University College of Engineering Visakhapatnam-530003India Department of Physics Rajiv Gandhi University of Knowledge Technologies(AP-IIIT)RK Valley-516330 India Advanced Magnetic Group Defense Metallurgical Research Laboratory Hyderabad-500058 India

The solid solutions of(1-x)LaFeO_(3–x)baTiO_(3)(0.0≤x≤0.25)have been synthesized successfully by the conventional solid-state reaction *** temperature(RT)X-ray diffraction studies reveal the stabilization of orthorhombic phase with Pbnm space *** solubility in the perovskite series was demonstrated up to x=*** dielectric permittivity shows colossal dielectric constant(CDC)at *** doping of baTiO_(3)in LaFeO_(3)exhibit pronounced CDC up to a composition x=0.15,further it starts to *** frequency-dependent dielectric loss exhibits polaronic conduction,which can attribute to presence of multiple valence of *** relaxation frequency and polaronic conduction mechanism was shifted towards RT as function of ***,large magnetic moment with weak ferromagnetic behavior is observed in doped LaFeO_(3) solid solution,which might be the destruction of spin cycloid structure due to insertion of Ti in Fe–O–Fe network of LaFeO_(3).

关键词： Multiferroic ferromagnetic ceramics.

Intrumer:A Multi Module Distributed Explainable IDS/IPS for Securing Cloud Environment

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Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen banu A S.K.b.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have been developed to tackle these ***,most conventional Intrusion Detection System(IDS)models struggle with unseen cyberattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distributed explainable and heterogeneous transformer-based intrusion detection system,named INTRUMER,which offers balanced accuracy,reliability,and security in cloud settings bymultiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie bayes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed by the Explainable Prevention Module(XPM)to ensure trustworthiness by providing interpretable *** the explanations fromthe classifier,emergency alarms are transmitted to nearby IDSmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on benchmark IDS datasets CICIDS 2017,Honeypots,and NSL-KDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,obtaining better performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the robustness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyber threats.

关键词： Cloud computing intrusion detection system transformers and explainable artificial intelligence(XAI)

Neuroinflammation revisited through the microglial lens

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Neural Regeneration Research 2025年第7期20卷 1989-1990页

作者： Renato Socodato João b.Relvas Institute of Research and Innovation in Health(i3S)and Institute for Molecular and Cell biology(IbMC) University of PortoPortoPortugal Department of biomedicine Faculty of Medicine of the University of Porto(FMUP)PortoPortugal

Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune *** exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new *** challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship between neuroinflammation and microglial *** dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive observer or a direct antagonist but a complex agent in the disease’s *** article calls for a significant paradigm shift towards an integrative,multi-omics approach to *** such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.

关键词： inflammation simplified activation

Federated Learning’s Role in Next-Gen TV Ad Optimization

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Computers, Materials & Continua 2025年第1期82卷 675-712页

作者： Gabriela Dobrita Simona-Vasilica Oprea Adela bâra Department of Economic Informatics and Cybernetics Bucharest University of Economic StudiesBucharest010374Romania

In the rapidly evolving landscape of television advertising,optimizing ad schedules to maximize viewer engagement and revenue has become *** methods often operate in silos,limiting the potential insights gained from broader data analysis due to concerns over privacy and data *** article introduces a novel approach that leverages Federated Learning(FL)to enhance TV ad schedule optimization,combining the strengths of local optimization techniques with the power of global Machine Learning(ML)models to uncover actionable insights without compromising data *** combines linear programming for initial ads scheduling optimization with ML—specifically,a K-Nearest Neighbors(KNN)model—for predicting ad spot *** into account the diversity and the difficulty of the ad-scheduling problem,we propose a prescriptivepredictive approach in which first the position of the ads is optimized(using Google’s OR-Tools CP-SAT)and then the scheduled position of all ads will be the result of the optimization ***,this output becomes the target of a predictive task that predicts the position of new entries based on their characteristics ensuring the implementation of the scheduling at large scale(using KNN,Light Gradient boosting Machine and Random Forest).Furthermore,we explore the integration of FL to enhance predictive accuracy and strategic insight across different broadcasting networks while preserving data *** FL approach resulted in 8750 ads being precisely matched to their optimal category placements,showcasing an alignment with the intended diversity ***,there was a minimal deviation observed,with 1133 ads positioned within a one-category variance from their ideal placement in the original dataset.

关键词： Ad scheduling prescriptive-predictive approach federated learning KNN

Measurement of neutron capture cross section on^(71)Ga at 2.15 and 3.19 MeV and uncertainty propagation and covariance analysis

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Chinese Physics C 2023年第7期47卷 72-80页

作者： Rebecca Pachuau A.Gandhi Namrata Singh A.Kumar Mayur Mehta S.V.suryanarayana L.S.Danu b.K.Nayak b.Lalremruata Department of Physics Banaras Hindu UniversityVaranasi-221005India Institute for Plasma Research Gandhinagar-382428India Nuclear Physics Division Bhabha Atomic Research CentreMumbai-400085India Homi bhabha National Institute AnushaktinagarMumbai-400094India Department of Physics Mizoram UniversityTanhrilAizawl-796004India Horia Hulubei National Institute of Physics and Nuclear Engineering-IFIN-HH Bucharest077125Romania MCNS Manipal Academy of Higher EducationManipal 576104India

The cross section values of the^(71)Ga(n,γ)^(72)Ga reaction are measured,which are 9.14±0.81 mb and 5.74±0.50 mb at 2.15 and 3.19 MeV,*** detailed uncertainty propagation and covariance analysis are also ***^(7)Li(p,n)^(7)be reaction was used to generate the neutrons,and the neutron flux was normalized using the^(115)In(n,n′)^(115)In^(m)monitor *** measured cross section data are compared with the data available in the EXFOR database,the data obtained using nuclear reaction model codes EMPIRE-3.2 and TALYS-1.95,and also the evaluated nuclear data from ENDF/b-VIII.0 and JEFF-3.1/*** comparison shows that our result at 3.19 MeV is in good agreement with those of EMPIRE-3.2 and JEFF-3.1/*** there are no other measurements available at3.19 MeV,our data could not be compared with literature data at 3.19 MeV,but they are consistent with the cross section values available at 2.98±0.26 and 3.0±0.1 *** result at 2.15 MeV is slightly higher than the literature value available in EXFOR,evaluated value,and theoretically predicted result.

关键词： neutron capture cross section gallium uncertainty propagation and covariance analysis

Measurement of(n,α)and(n,2n)reaction cross sections at a neutron energy of 14.92±0.02 MeV for potassium and copper with uncertainty propagation

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Chinese Physics C 2022年第1期46卷 110-117页

作者： A.Gandhi Aman Sharma Rebecca Pachuau1 Namrata Singh L.S.Danu S.V.suryanarayana b.K.Nayak A.Kumar Department of Physics Banaras Hindu UniversityVaranasi 221005India Nuclear Physics Division Bhabha Atomic Research CentreMumbai 400085India

Experimentally measured neutron activation cross sections are presented for the ^(65)Cu(n,0)^(62m)Cu,^(41) K(n,a)^(38C)l,and ^(65)Cu(n.2n)^(64)Cu reactions with detailed uncertainty *** neutron cross secions were measured at an incident energy of 14.92±0.02 MeV,and the neutrons were based on the(d,n)a fusion *** ^(27) Al(n,a)^(24)Na reaction was used as a reference reaction for the normalization of the neutron *** pre-calib-rated lead-shielded HPGe detector was used to detect the residues'γ-ray *** data from the measured cross sections are compared to the previously measured cross sections from the EXFOR database,theoretically calculated cross sections using the TALYS and EMPIRE codes,and evaluated nuclear data.

关键词： nuclear reactions (n,a)and(n,2n)reactions t(c/,n)a neutron source uncertainty propagation covariance analysis TALYS-1.9 and EMPIRE-3.2 code

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

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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

A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika Jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi bansal Razaz Waheeb Attar Mosiur Rahman brij b.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

Processing and Mechanical Properties of Alb>2b>Ob>3b> and Red Mud Particle Reinforced AA6061 Hybrid Composites

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Journal of Minerals and Materials Characterization and Engineering 2016年第2期4卷 135-142页

作者： Shaik Mujeeb Quader b. suryanarayana Murthy Pinninti Ravinder Reddy Department of Production Engineering DCET Hyderabad India Department of Mechanical Engineering GIT GITAM University Visakhapatnam India Department of Mechanical Engineering CBIT Hyderabad India

Aluminum 6061 alloy metal matrix composites (MMCs) reinforced with four different weight fractions of (Al2O3 + red mud) particles up to 10 wt% were fabricated by a vortex method. The effects of reinforcement content o... 详细信息

Aluminum 6061 alloy metal matrix composites (MMCs) reinforced with four different weight fractions of (Alb>2b>Ob>3b> + red mud) particles up to 10 wt% were fabricated by a vortex method. The effects of reinforcement content on the mechanical properties of the composites such as hardness and tensile strength were investigated. The density measurements showed that the samples contained little porosity, and the amount of porosity in the composites increased with increasing weight fraction of particles. Scanning electron microscopic observations of the microstructures revealed that the dispersion of the particles was uniform with small clusters at some places and porosity. The results showed that the hardness and the tensile strength of the composites increased with increasing weight fraction of particles.

关键词： MMCs Al2O3 Red Mud AA6061 Compocasting

Systematic study of the(n,2n)reaction cross section for^(121)Sb and^(123)Sb isotopes

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Chinese Physics C 2022年第5期46卷 77-94页

作者： R.K.Singh N.L.Singh R.D.Chauhan Mayur Mehta S.V.suryanarayana Rajnikant Makwana b.K.Nayak H.Naik Tarak Nath Nag K.Katovsky Department of Physics Faculty of Sciencethe M.S.University of BarodaVadodara-390002INDIA Department of Physics Netaji Subhas University of TechnologyDwarkaNew Delhi-110078INDIA Institute for Plasma Research Gandhinagar-382428INDIA Nuclear Physics Division Bhabha Atomic Research CentreMumbaiINDIA Radiochemistry Division Bhabha Atomic Research CentreMumbaiINDIA Department of Electrical Power Engineering Brno University of TechnologyBrno-61600Czech Republic

The cross sections of the^(121)Sb(n,2n)^(120)Sb^(m) and ^(123)Sb(n,2n)^(122)Sb reactions were measured at 12.50,15.79 and 18.87 MeV neutron energies relative to the standard ^(27)Al(n,α)^(24)Na monitor reaction using neutron activation and offline γ-ray *** of the samples was performed at the bARC-TIFR Pelletron Linac Facility,Mumbai,*** quasi-monoenergetic neutrons were generated via the ^(7)Li(p,n)*** model calculations were performed by nuclear reaction codes TALYS(ver.1.9)and EMPIRE(ver.3.2.2)using various input parameters and nuclear level density *** cross sections of the ground and the isomeric state as well as the isomeric cross section ratio were studied theoretically from reaction threshold to 26 MeV *** effect of pre-equilibrium emission is also discussed in detail using different theoretical *** present measured cross sections were discussed and compared with the reported experimental data and evaluation data of the JEFF-3.3,ENDF/b-VIII.0,JENDL/AD-2017 and TENDL-2019 libraries.A detailed analysis of the uncertainties in the measured cross section data was performed using the covariance analysis ***,a systematic study of the(n,2n)reaction cross section for^(121)Sb and^(123)Sb isotopes was also performed within 14-15 MeV neutron energies using various systematic *** work helps to overcome discrepancies in Sb data and illustrate a better understanding of pre-equilibrium emission in the(n,2n)reaction channel.

关键词： antimony (n,2n)reaction cross section 7Li(p,n)reaction neutron source neutron activation and offlineγ-ray spectrometry systematic formulae covariance analysis TALYS(ver.1.9)and EMPIRE(ver.3.2.2)codes