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Noncommutative Geometry and Classical Orbits of Particles in a Central Force Potential

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Communications in Theoretical Physics 2004年第2X期42卷 183-184页

作者： b.mirza M.Dehghani InstituteforStudiesinTheoreticalPhysicsandMathematics P.O.Box5746Tehran19395Iran DepartmentofPhysics IsfahanUniversityofTechnologyIsfahan84154Iran

We investigate the effect of the noncommutative geometry on the classical orbits of particles in a central force potential The relation is implemented through the modified commutation relations [xi,xj] = iθij. Compar... 详细信息

关键词：非交换几何学行星轨道量子万有引力行星物理学莱布尼兹规则哈密顿算符

Extended Phase Space in the Framework of Holography

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Communications in Theoretical Physics 2019年第5期71卷 590-598页

作者： Z.Sherkatghanad b.mirza H.Nadi M.Rostami Department of Physics Isfahan University of Technology

We consider a holographic extended phase space in the presence of Reissner-Nordstrom-Anti-de Sitter(RNAdS) and born-Infeld-Anti-de Sitter(bI-AdS) black holes in the bulk. In this extended phase space the cosmological constant is investigated as pressure and volume is defined as the codimension one-time slice in the bulk geometry enclosed by the minimal area appearing in the computation of the holographic entanglement entropy. These thermodynamics quantities can serve as probes of the underlying phase transition dictated by black hole thermodynamics, but do not describe different structures. We find that the isocharges on the pressure-volume plane exhibit a Van der Waals-like structure, for RN-AdS black holes in the background. For bI-AdS black holes, we observe the analogy with a Van der Waals liquid-gas system for βQ > 1/2 and Reentrant phase transition for βQ behavior is observed when we use the fidelity susceptibility as the volume and the cosmological constant as the pressure for RN-AdS black hole in the background.

关键词： extended phase space holography entanglement entropy phase cosmology

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

Cosmological Expansion and Its Effect on Small Systems

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Communications in Theoretical Physics 2006年第6X期46卷 987-990页

作者： b. mirza M. Zamani-Nasab Department of Physics Isfahan University of Technology (IUT) Isfahan (84156) Iran

In order to study the effect of large scale cosmological expansion on small systems, we assume a Friedmann- Robertson-Walker type coordinate system in presence of a nonzero cosmological constant and derive a non-static Reissner-Nrdstr6m metric. It is an analytic function of r for all values except at r = O, which is singular. by determining the equation of motion in this metric we can estimate how expansion of the universe may affect Pioneer＇s motion. because the metric does not have any event horizon and so high potential regions are accessible, this may help us in better understanding AGN phenomenon.

关键词： general relativity exact solution

Adefovir dipivoxil for the treatment of lamivudine-resistant hepatitis b mutants

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Hepatobiliary & Pancreatic Diseases International 2006年第1期5卷 154-156页

作者： Vincent Lai David Mutimer Darius mirza Department of Liver Surgery

bACKGROUND: The recurrence of chronic hepatitis b after liver transplantation results in increased risk for graft failure and death of patients. Lamivudine has been shown to be effective in the treatment of chronic hepatitis b, but resistance to this agent is common after prolonged administration. METHODS: One patient with chronic hepatitis b virus (HbV) infection developed resistance to lamivudine after 15 months of treatment. The resistance was confirmed by mutation in the HbV DNA polymerase gene. The patient was treated subsequently with adefovir dipivoxil for 7 months. RESULT: HbV DNA and HbsAg were tested negative, but HbeAb and HbsAb were positive. CONCLUSION: This study provides an evidence that adefovir dipivoxil can be effective in the treatment of lamivudine-resistant HbV mutants.

关键词： adefovir dipivoxil hepatitis b virus liver transplantation lamivudine

Structural elucidation of SARS-CoV-2 vital proteins: Computational methods reveal potential drug candidates against main protease, Nsp12 polymerase and Nsp13 helicase

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Journal of Pharmaceutical Analysis 2020年第4期10卷 320-328页

作者： Muhammad Usman mirza Matheus Froeyen Department of Pharmaceutical and Pharmacological Sciences Rega Institute for Medical ResearchMedicinal ChemistryUniversity of LeuvenB-3000LeuvenBelgium

Recently emerged SARS-CoV-2 caused a major outbreak of coronavirus disease 2019(COVID-19)and instigated a widespread fear,threatening global health *** date,no licensed antiviral drugs or vaccines are available against COVID-19 although several clinical trials are under way to test possible *** this urgent situation,computational drug discovery methods provide an alternative to tiresome high-throughput screening,particularly in the hit-to-lead-optimization *** of small molecules that specifically target viral replication apparatus has indicated the highest potential towards antiviral drug *** this work,we present potential compounds that specifically target SARS-CoV-2 vital proteins,including the main protease,Nsp12 RNA polymerase and Nsp13 *** integrative virtual screening and molecular dynamics simulations approach has facilitated the identification of potential binding modes and favourable molecular interaction profile of corresponding ***,the identification of structurally important binding site residues in conserved motifs located inside the active site highlights relative importance of ligand binding based on residual energy decomposition *** the current study lacks experimental validation,the structural information obtained from this computational study has paved way for the design of targeted inhibitors to combat COVID-19 outbreak.

关键词： SARS-CoV-2 COVID-19 outbreak CoV-Mpro CoV-Nsp12 polymerase CoV-Nsp13 helicase

Effect of impeller design on homogeneity, size and strength of pharmaceutical granules produced by high-shear wet granulation

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Particuology 2015年第6期13卷 31-39页

作者： Zakaria mirza Jiangtao Liu Yoann Glocheux Ahmad b. Albadarin Gavin M. Walker Chirangano Mangwandi School of Chemistry and Chemical Engineering Queen's University Belfast Belfast BT9 SAG Northern Ireland UK Synthesis & Solid State Pharmaceuticals Center (SSPC) Department of Chemical and Environmental Science. University of Limerick Ireland

Small mixer impeller design is not tailored for granulation because impellers are intended for a wide range of processes. The aim of this research was to evaluate the performances of several impellers to provide guidance on the selection and design for the purposes of granulation. Lactose granules were produced using wet granulation with water as a binder. A Kenwood KM070 mixer was used as a standard apparatus and five impeller designs with different shapes and surface areas were used. The efficacy of granulate for- mation was measured by adding an optically sensitive tracer to determine variations in active ingredient content across random samples of granules from the same size classes. It was found that impeller design influenced the homogeneity of the granules and therefore can affect final product performance. The vari- ation in active ingredient content across granules of differing size was also investigated. The results show that small granules were more potent than larger granules,

关键词： Granule strength Impeller design Homogeneity High-shear granulation Lactose monohydrate