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

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)

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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

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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

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Corrosion behaviour and cytocompatibility of selected binary magnesium-rare earth alloys

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Journal of Magnesium and Alloys 2021年第2期9卷 581-591页

作者： Hiba Azzeddine Abdelkader Hanna Achour Dakhouche bérengère Luthringer-Feyerabend Department of Physics Faculty of SciencesUniversity of Mohamed BoudiafM’silaAlgeria Inorganic Materials Laboratory Department of ChemistryFaculty of SciencesUniversity of Mohamed BoudiafM’silaAlgeria Metallic biomaterials Institute of Material ResearchHelmholtz-Zentrum Geesthacht21502 GeesthachtGermany

The corrosion behaviour of as-cast binary Mg–0.3 Ce,Mg–1.44 Nd,Mg–0.63 Gd and Mg–0.41 Dy(wt%)alloys was investigated in DMEM+10%FbS solution using electrochemical and weight loss *** results revealed that the alloys with heavy re elements(Gd and Dy)exhibited the lowest corrosion rate compared to the alloys with light re elements(Ce and Nd).The cytocompatibility of the Mg–re alloys was assessed via live/dead straining after 3 and 7 *** results show that Mg–0.63 Gd alloy is a suitable candidate for biomedical applications.

关键词： Corrosion Cytotoxicity Magnesium alloys Rare earth element Weight loss test

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Corrosion rate determination of rare-earth Mg alloys in a Na_(2)SO_(4)solution by electrochemical measurements and inductive coupled plasma-optical emission spectroscopy

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Journal of Magnesium and Alloys 2019年第1期7卷 47-57页

作者： Samuel Leleu bertrand Rives Nicolas Causse Nadine Pébère CIRIMAT Universitéde ToulouseCNRSINPTUPSENSIACET4 allée Emile Monso BP4436231030 Toulouse cedex 4 France IRT Saint Exupéry 118 route de Narbonne-CS 4424831432 ToulouseFrance

The corrosion resistance of three Mg alloys containing rare-earth elements(WE43,EV31 and ZE41)was studied and compared to that of two Mg-Al alloys(AZ31 and AZ91)and of pure Mg(99.95 wt.%).Current-voltage curves and electrochemical impedance measurements were performed with rotating disk electrodes in an aerated 0.1 M Na_(2)SO_(4)*** all the alloys,it was confirmed that the intermetallic particles acted as local cathodes and that more protective films were formed on the alloys surface by comparison with the pure *** rates were determined from inductive coupled plasma-optical emission spectroscopy measurements and from the electrochemical *** corrosion rates were observed for the rare-earth Mg alloys compared to the AZ series *** data allowed the corrosion mechanisms to be discussed.

关键词： Magnesium alloys Rare-earth elements EIS ICP-OES Interface

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Deep learning identification of novel autophagic protein-protein interactions and experimental validation of beclin 2-Ubiquilin 1 axis in triple-negative breast cancer

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Oncology research 2025年第1期33卷 67-81页

作者： Xiang Li Wenke Jin Lifeng Wu Huan Wang Xin Xie Wei Huang b O Liu State Key Laboratory of Southwestern Chinese Medicine resources School of Pharmacy and College of Medical Technology Chengdu University of Traditional Chinese Medicine Chengdu 611137 China. Department of biotherapy Cancer Center and State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu 610041 China.

background:Triple-negative breast cancer (TNbC), characterized by its lack of traditional hormone receptors and HER2, presents a significant challenge in oncology due to its poor response to conventional therapies. Autophagy is an important process for maintaining cellular homeostasis, and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors. In contrast to targeting protein activity, intervention with protein-protein interaction (PPI) can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways.Methods:Here, we employed Naive bayes, Decision Tree, and k-Nearest Neighbors to elucidate the complex PPI network associated with autophagy in TNbC, aiming to uncover novel therapeutic targets. Meanwhile, the candidate proteins interacting with beclin 2 were initially screened in MDA-Mb-231 cells using beclin 2 as bait protein by immunoprecipitation-mass spectrometry assay, and the interaction relationship was verified by molecular docking and CO-IP experiments after intersection. Colony formation, cellular immunofluorescence, cell scratch and 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) tests were used to predict the clinical therapeutic effects of manipulating candidate PPI.results:by developing three PPI classification models and analyzing over 13,000 datasets, we identified 3733 previously unknown autophagy-related PPIs. Our network analysis revealed the central role of beclin 2 in autophagy regulation, uncovering its interactions with 39 newly identified proteins. Notably, the CO-IP studies identified the substantial interaction between beclin 2 and Ubiquilin 1, which was anticipated by our model and discovered in immunoprecipitation-mass spectrometry assay results. Subsequently, investigations showed that overexpressing beclin 2 increased Ubiquilin 1, promoted autophagy-dependent cell death, and inhibited proliferation and metastasis in MDA-Mb-231 cells.

关键词： Artificial intelligence (AI) Autophagy beclin 2 Protein-protein interactions (PPI) Triple-negative breast cancer (TNbC) Ubiquilin 1

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Piling up multidecker pyrgos[n]cages as antibacterial materials

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Science China Materials 2025年第01期 314-316页

作者： Miguel A.Liuzzi-Vaamonde Jackson b.Lancaster Samantha A.Mason Yuanning Feng Department of Chemistry and biochemistry The University of Oklahoma

The development of antibiotics is regarded as one of the most significant scientific advances in modern medicine. before the commercialization of antibiotics, infectious diseases were catastrophic throughout history [1]. Penicillin was used to treat serious infections in the 1940s, but unfortunately, with the introduction of antibiotics came the emergence of antibiotic resistance [2,3]. Evolved and adapted methicillin-resistant Staphylococcus aureus (MRSA) strains are presently impacting community and healthcare systems across the globe [4].

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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

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Predicting factors for the need of extracorporeal membrane oxygenation for suicide attempts by cardiac medication:a single-center cohort study

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World Journal of Emergency Medicine 2022年第4期13卷 283-289页

作者： David Vandroux Thomas Aujoulat bernard-Alex Gaüzère bérénice Puech bertrand Guihard Olivier Martinet Intensive Care Unit Félix Guyon HospitalUniversity Teaching Hospital of La Réunion97400 Saint DenisReunion IslandFrance Cardiosurgical Intensive Care Unit Dupuytren II HospitalUniversity Teaching Hospital of Limoges87042 LimogesFrance UMR 1094 Neuro-épidémiologie Tropicale University of Limoges87042 LimogesFrance Cardiovascular Anesthesia Department Félix Guyon HospitalUniversity Teaching Hospital of La Réunion97400 Saint DenisReunion IslandFrance Service d’Aide Médicale d’Urgence Félix Guyon HospitalUniversity Teaching Hospital of La Réunion97400 Saint DenisReunion IslandFrance

bACKGROUND:Severe poisoning due to the overdosing of cardiac drugs can lead to cardiovascular *** order to decrease the mortality rate,the most severe patients should be transferred as quickly as possible to an extracorporeal membrane oxygenation(ECMO)***,the predictive factors showing the need for venous-arterial ECMO(VA-ECMO)had never been ***:A retrospective,descriptive,and single-center cohort *** consecutive patients admitted in the largest ICU of reunion Island(Indian Ocean)between January 2013 and September 2018 for beta-blockers(bb),calcium channel blockers(CCb),renin-angiotensin-aldosterone system blockers,digoxin or anti-arrythmic intentional poisonings were *** implementation was the primary ***:A total of 49 consecutive admissions were *** patients had ECMO,39 patients did not have *** patients in ECMO group died,while no patients in the conventional group *** most relevant ECMO-associated factors were pulse pressure and heart rate at first medical contact and pulse pressure,heart rate,arterial lactate concentration,liver enzymes and left ventricular ejection fraction(LVEF)at *** pulse pressure at first medical contact and LVEF were significant after logistic ***:A transfer to an ECMO center should be considered for a pulse pressure<35 mmHg at first medical contact or LVEF<20%on admission to ICU.

关键词： Extracorporeal membrane oxygenation Implementation Cardiac medication Overdose Predicting factor

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Contribution of alpha-fetoprotein in liver transplantation for hepatocellular carcinoma

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World Journal of Hepatology 2016年第21期8卷 881-890页

作者： bérénice Charrière Charlotte Maulat bertrand Suc Fabrice Muscari Department of Visceral Surgery Toulouse-Rangueil University Hospital Service de Chirurgie Digestive CHU Toulouse Rangueil

Alpha-fetoprotein(AFP) is the main tumor biomarker available for the management of hepatocellular carcinoma(HCC). Although it is neither a good screening test nor an accurate diagnostic tool for HCC, it seems to be a possible prognostic marker. However, its contribution in liver transplantation for HCC has not been fully determined, although its use to predict recurrence after liver transplantation has been underlined by international societies. In an era of organ shortages, it could also have a key role in the selection of patients eligible for liver transplantation. Yet unanswered questions remain. First, the cut-off value of serum AFP above which liver transplantation should not be performed is still a subject of debate. We show that a concentration of 1000 ng/m L could be an exclusion criterion, whereas values of ber of tumors. Monitoring the dynamics of AFP could also prove useful. However, evidence is lacking regarding the values that should be used. Today, the real input of AFP seems to be its integration into new criteria to select patients eligible for a liver transplantation. These recent tools have associated AFP values with morphological criteria, thus refining pre-existing criteria, such as Milan, University of California, San Francisco, or "up-to-seven". We provide a review of the different criteria submitted within the past years. Finally, AFP can be used to monitor recurrence after transplantation, although there is little evidence to support this claim. Future challenges will be to draft new international guidelines to implement the use of AFP as a selection tool, and to determine a clear cut-off value above which liver transplantation should not be performed.

关键词： Hepatocellular carcinoma Downstaging Alpha-fetoprotein Liver transplantation Selection criteria

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