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Reactions induced by 30 MeV 3He beam on 9Be:cluster transfer reactions

Chinese Physics C 2024年第1期48卷 61-70页

作者： B.A.Urazbekov T.Issatayev S.M.Lukyanov A.Azhibekov A.S.Denikin K.Mendibayev D.M.Janseitov Yu E.Penionzhkevich K.A.Kuterbekov T.K.Zholdybayev Gumiliyev Eurasian National university 2 Satpayev StrAstanaKazakhstan Institute of Nuclear Physics 1 Ibragimov StrAlmatyKazakhstan Bogolubov Laboratory of Theoretical Physics JINR20 Joliot Curie StrDubnaRussia Flerov Laboratory of Nuclear Reactions JINR20 Joliot Curie StrDubnaRussia korkyt-ata State university 29A Aiteke-Byi StrKyzylordaKazakhstan Dubna State university 19 Universitetskaya StrDubnaRussia Al-Farabi Kazakh National university AlmatyKazakhstan

An experiment was conducted for studying the cluster structure of Be induced by He ions at an energy of 30 *** results of the nuclear reaction^(3)He+^(9)Be,the differential cross sections for the exit channels–elastic,inelastic,α+^(8)Be,^(6)He+^(6)Be,^(6)Li+^(6)Li,and^(7)Be+^(5)He–were *** and inelastic scattering data were treated within both the optical model and coupled channel method.A new set of optical potentials was considered for the elastic *** deformation parameter was established for the transition 3/2→5/*** transfer reactions were analyzed via the coupled reaction channel *** nuclear reactions with the exit channels^(6)He+^(6)Be,^(6)Li+^(6)Li,and^(7)Be+^(5)He were complemented by two-step transfer *** contribution of each reaction mechanism were shown and compared with the findings of other authors.

关键词： cluster transfer reaction mechanisms coupled equations

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A Review of Machine Learning Techniques in Cyberbullying Detection

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Computers, Materials & Continua 2023年第3期74卷 5625-5640页

作者： Daniyar Sultan Batyrkhan Omarov Zhazira Kozhamkulova Gulnur Kazbekova Laura Alimzhanova Aigul Dautbayeva Yernar Zholdassov Rustam Abdrakhmanov Al-Farabi Kazakh National university AlmatyKazakhstan International Information Technology university AlmatyKazakhstan International university of Tourism and Hospitality TurkistanKazakhstan Almaty university of Power Engineering and Telecommunications AlmatyKazakhstan Khoja Akhmet Yassawi International Kazakh-Turkish university TurkistanKazakhstan korkyt ata kyzylorda State university KyzylordaKazakhstan

Automatic identification of cyberbullying is a problem that is gaining traction,especially in the Machine Learning *** only is it complicated,but it has also become a pressing necessity,considering how social media has become an integral part of adolescents’lives and how serious the impacts of cyberbullying and online harassment can be,particularly among *** paper contains a systematic literature review of modern strategies,machine learning methods,and technical means for detecting cyberbullying and the aggressive command of an individual in the information space of the *** undertake an in-depth review of 13 papers from four scientific *** article provides an overview of scientific literature to analyze the problem of cyberbullying detection from the point of view of machine learning and natural language *** this review,we consider a cyberbullying detection framework on social media platforms,which includes data collection,data processing,feature selection,feature extraction,and the application ofmachine learning to classify whether texts contain cyberbullying or *** article seeks to guide future research on this topic toward a more consistent perspective with the phenomenon’s description and depiction,allowing future solutions to be more practical and effective.

关键词： Cyberbullying hate speech digital drama online harassment detection classification machine learning NLP

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One Dimensional Conv-BiLSTM Network with Attention Mechanism for IoT Intrusion Detection

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Computers, Materials & Continua 2023年第12期77卷 3765-3781页

作者： Bauyrzhan Omarov Zhuldyz Sailaukyzy Alfiya Bigaliyeva Adilzhan Kereyev Lyazat Naizabayeva Aigul Dautbayeva Department of Information Systems Al-Farabi Kazakh National UniversityAlmatyKazakhstan Department of Information Technology and Security Abylkas Saginov Karaganda Technical UniversityKaragandaKazakhstan Department of Computer Science and Information Technology K.Zhubanov Aktobe Regional UniversityAktobeKazakhstan Department of Information Systems International Information Technology UniversityAlmatyKazakhstan Department of Computer Science Korkyt Ata Kyzylorda State UniversityKyzylordaKazakhstan

In the face of escalating intricacy and heterogeneity within Internet of Things(IoT)network landscapes,the imperative for adept intrusion detection techniques has never been more *** paper delineates a pioneering deep learning-based intrusion detection model:the One Dimensional Convolutional Neural Networks(1D-CNN)and Bidirectional Long Short-Term Memory(BiLSTM)Network(Conv-BiLSTM)augmented with an Attention *** primary objective of this research is to engineer a sophisticated model proficient in discerning the nuanced patterns and temporal dependencies quintessential to IoT network traffic data,thereby facilitating the precise categorization of a myriad of intrusion ***:The proposed model amal-gamates the potent attributes of 1D convolutional neural networks,bidirectional long short-term memory layers,and attention mechanisms to bolster the efficacy and resilience of IoT intrusion detection systems.A rigorous assessment was executed employing an expansive dataset that mirrors the convolutions and multifariousness characteristic of genuine IoT network settings,encompassing various network traffic paradigms and intrusion ***:The empirical evidence underscores the paramountcy of the One Dimensional Conv-BiLSTM Network with Attention Mechanism,which exhibits a marked superiority over conventional machine learning ***,the model registers an exemplary AUC-ROC metric of 0.995,underscoring its precision in typifying a spectrum of intrusions within IoT ***:The presented One Dimensional Conv-BiLSTM Network armed with an Attention Mechanism stands out as a robust and trustworthy vanguard against IoT network *** prowess in discerning intricate traffic patterns and inherent temporal dependencies transcends that of traditional machine learning *** commendable diagnostic accuracy manifested in this study advocates for its tangible *** investigation indubitably a

关键词： Intrusion detection attention deep learning IoT CNN BiLSTM

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The Holocene environmental changes revealed from the sediments of the Yarkov sub-basin of Lake Chany,south-western Siberia

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Geoscience Frontiers 2023年第2期14卷 133-153页

作者： S.K.Krivonogov A.N.Zhdanova P.A.Solotchin A.Y.Kazansky V.V.Chegis Z.Liu M.Song S.V.Zhilich N.A.Rudaya X.Cao O.V.Palagushkina L.B.Nazarova L.S.Syrykh Institute of Geology and Mineralogy Russian Academy of SciencesSiberian BranchNovosibirskRussia Novosibirsk State university NovosibirskRussia korkyt ata kyzylorda university KyzylordaKazakhstan Moscow State university MoscowRussia Geological Institute Russian Academy of SciencesMoscowRussia Pushkov Institute of Terrestrial Magnetism Ionosphere and Radio Wave PropagationRussian Academy of SciencesTroitskRussia Department of Earth Sciences The University of Hong KongHong KongChina State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi’anChina Institute of Archaeology and Ethnography Russian Academy of SciencesSiberian BranchNovosibirskRussia Tomsk State university TomskRussia Alpine Paleoecology and Human Adaptation Group(ALPHA) State Key Laboratory of Tibetan Plateau Earth SystemEnvironment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijingChina Volga Region Federal university KazanRussia Krasnoyarsk Science Center Russian Academy of SciencesSiberian BranchKrasnoyarskRussia Herzen State Pedagogical university St.PetersburgRussia

Lake Chany is the largest endorheic lake in Siberia whose catchment is entirely on the territory of *** geographical location on the climate-sensitive boundary of wet and dry landscapes provides an opportunity to gain more knowledge about environmental changes in the West Siberian interior during the Holocene and about the evolution of the lake *** cores obtained from the Yarkov subbasin of the lake in 2008 have been comprehensively studied by a number of approaches including sedimentology and AMS dating,pollen,diatom and chironomid analyses(with statistical interpretation of the results),mineralogy of authigenic minerals and geochemistry of plant lipids(biomarker analysis.).Synthesis of new results presented here and published data provides a good justification for our hypothesis that Lake Chany is very young,no older than 3.6 ka *** that,between 9 and 3.6 ka BP,the Chany basin was a swampy landscape with a very low sedimentation rate;it could not be identified as a water *** the early lake phase,between 3.6 and 1.5 ka BP,the lake was shallow,1.2–3.5 m in depth,and it rose to its modern size,up to 6.5 m in depth,during the last *** data reveal important changes in the understanding of the history of this large endorheic lake,as before it was envisioned as a large lake with significant changes in water level since ca.14 ka *** addition to hydrology,our proxies provide updates and details of the regional vegetation and climate change since ca.4 ka BP in the WestSiberian forest-steppe and *** evolution of the Chany basin is dependent on hydroclimatic changes in a large region of southern West Siberia,we compare lake-level change and climate-change proxies from the other recently and most comprehensively studied lakes of the region.

关键词： Saline lake Multiproxy study Holocene Climate Environment West Siberia

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咸海演化的关键问题及其对经济、社会和生态价值的重要启示

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地学前缘 2021年第6期28卷 196-204页

作者： S.K.KRIVONOGOV T.I.KENSHINBAY R.Kh.KURMANBAEV B.S.KARIMOVA Novosibirsk State university Pirogova Str.1630090NovosibirskRussia Institute of geology and mineralogy SB RAS Koptyug Ave.3630090 NovosibirskRussia korkyt-ata kyzylorda university Aiteke bi29a120000 KyzylordaRepublic of Kazakhstan

本文回顾了Aral Sea(咸海)海平面变化的最新认识,以供社会和经济项目决策者使用。我们提出了咸海生态标准的新认识:由于1960年之前当时的人类活动已经引起了湖泊萎缩,咸海在1960年之前是小到中型湖泊,而不是大型湖泊。对咸海认识的改变... 详细信息

本文回顾了Aral Sea(咸海)海平面变化的最新认识,以供社会和经济项目决策者使用。我们提出了咸海生态标准的新认识:由于1960年之前当时的人类活动已经引起了湖泊萎缩,咸海在1960年之前是小到中型湖泊,而不是大型湖泊。对咸海认识的改变可能会使许多基于极端情景的昂贵计划变得更加现实。同时,基于地质、考古、历史和水文研究中所获得的多重数据的综合分析,本次结果认为咸海在过去的2万年内经历了多次突然的海侵和海退。然而,除了现代的原因外,引起这些变化的原因的认识仍然不完整,需要进行专门的调查研究。在这篇论文中,我们针对水位变化、气候变化与咸海盆地来自锡尔河和阿姆河供水变化相结合的研究方法进行了讨论。

关键词：咸海湖平面变化气候变化水文变化

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