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大质量砝码检定比较器

中国检验检测 1988年第5期 25-27页

作者： A.b.Hаэаpeнко 向东

为了保证计量的统一,所有砝码,其中包括大质量砝码(50～2000kg),都应进行周期检定。这些砝码的检定应在误差为0.0025%的三等天平上进行。但是,三等天平不大批量生产,而是根据苏联国家标准委员会的临时许可证用误差为0.01%的专门调整的... 详细信息

为了保证计量的统一,所有砝码,其中包括大质量砝码(50～2000kg),都应进行周期检定。这些砝码的检定应在误差为0.0025%的三等天平上进行。但是,三等天平不大批量生产,而是根据苏联国家标准委员会的临时许可证用误差为0.01%的专门调整的天平对这些砝

关键词：比较器变换器差动式位移量计量器具检定系统工作量仪表转换器劳动量测力传感器名义质量标称质量

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寻找新的增长引擎

商业周刊（中文版） 2000年第1期 18-22页

作者： Einho.,b Engar,pe

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苏联小麦育种(续完)

麦类作物学报 1983年第1期 41-45页

作者： b.H.peмесло 耿志训

(四)育种过程育种材料的创造,形成和研究是按照五个环节进行的:(1)原始材料圃;(2)选种圃;(3)鉴定圃;(4)品种预试圃;(5)品种试验。由于地区条件、育种机关形成的传统和创

关键词：小麦育种米隆试验站原始材料圃品种试验品比试验田间试验杂交组合杂种组合家系家族亲缘关系选种圃搜集圃收集圃单株选择一株传人工选择杂种圃苏联苏维埃社会主义共和国联盟

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用短路电容变换器测量位移

中国检验检测 1981年第5期 7-9页

作者： b.C.Eфpeмoв 朱源宏

利用差动电容变换器测量位移的方法,已知的有多种。变换器的动片与移动的目标为传动连接;其中使用最广的一种方法是以变换器作为电容分压器。图1a 引述的是实践中常迂到的一种电容分压器的不平衡桥式电路,差动电容器片间的离是可变的(... 详细信息

利用差动电容变换器测量位移的方法,已知的有多种。变换器的动片与移动的目标为传动连接;其中使用最广的一种方法是以变换器作为电容分压器。图1a 引述的是实践中常迂到的一种电容分压器的不平衡桥式电路,差动电容器片间的离是可变的(对电容器片的重叠面积可变的变距换器而言,所述结论都是正确的,故不单独对它加以探讨)。图中符号:Γ——交变电压发生

关键词：变换器差动电容电容器电压转换器电器电容分压器差动电流

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

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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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提高活塞压缩机缸体镜面耐磨性的方法

压缩机技术 1989年第1期 8-8页

作者： b.А.peПИH 张树桐洛阳轴承厂

对于医疗工具用空气压缩机铝合金制缸体的镜面,目前采用的镀敷方法（镀硬铬等）,耐磨性并不高。为此,苏联医疗工具制造公司（НПО《МЕДИНСТРУМЕНТ》）研制了一种可对Д16Т铝合金镜面进行强化的工艺。其实质是气体爆炸... 详细信息

对于医疗工具用空气压缩机铝合金制缸体的镜面,目前采用的镀敷方法（镀硬铬等）,耐磨性并不高。为此,苏联医疗工具制造公司（НПО《МЕДИНСТРУМЕНТ》）研制了一种可对Д16Т铝合金镜面进行强化的工艺。其实质是气体爆炸和等离子喷涂的复合工艺。首先把缸体镜面去除油污,用气体爆炸法涂敷一层粒度为20～40μm,厚度约为80μm的bKHA粉末底层。然后再在此底层上。

关键词：活塞式压缩机缸体镜面耐磨性

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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