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Engineered Regeneration 2024年第2期5卷 210-227页

作者： Kamila Raziyeva Zharylkasyn Zharkinbekov Yevgeniy Kim Arman Saparov school of medicine Nazarbayev UniversityAstana 010000Kazakhstan

Following myocardial infarction(MI),cardiac tissue undergoes irreversible cellular alterations,with cardiomy-ocytes being replaced by fibrotic *** order to improve tissue regeneration,a previously characterized chitosan-based cryogel,which was designed by our group,was *** treatment regimen involved the sequen-tial delivery of the cryogel loaded with specific cytokines and growth factors,followed by a separate injection of pre-differentiated ***,the cryogel loaded with interleukin-10 and transforming growth factor-βwas injected into infarcted tissue immediately after MI induction,targeting the acute inflammatory *** day four post-MI,a second injection was administered,this time utilizing cryogel loaded with vascular endothelial growth factor and fibroblast growth factor-2,aimed at promoting tissue regeneration and ***-quently,on day six post-MI,the experimental group received cardiomyocyte-like cells,smooth muscle cells,and endothelial *** purpose of these cells,in synergy with cytokines and growth factors,was to repopulate the lost cellular populations,thereby enhancing myocardial *** treatment improved myocardial tissue regeneration,increased cardiac output,ejection fraction,and reduced fibrotic ***,the chitosan-based cryogel,enriched with anti-inflammatory and proangiogenic factors and supplemented with pre-differentiated cells,offers a promising platform for controlled release of therapeutics,promoting substantial tissue repair and regeneration following MI.

关键词： Myocardial infarction Tissue regeneration Cryogel Growth factors Stem cells

护理人员对医院护理科研学术氛围感知的质性研究

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International Journal of Nursing Sciences 2024年第2期11卷 233-240页

作者： Ejercito Mangawa Balay-odao Jonas Preposi Cruz Joseph UAlmazan Department of medicine School of MedicineNazarbayev UniversityAstanaKazakhstan

目的医疗机构面临的挑战是建立一种促进护理科研发展的组织文化。护理科研的建设一直被认为是护理学科进步的重要组成部分。因此,本研究描述了护士对所在医院护理科研学术氛围的看法。方法采用半结构式个人访谈法收集资料。于2022年12月... 详细信息

目的医疗机构面临的挑战是建立一种促进护理科研发展的组织文化。护理科研的建设一直被认为是护理学科进步的重要组成部分。因此,本研究描述了护士对所在医院护理科研学术氛围的看法。方法采用半结构式个人访谈法收集资料。于2022年12月至2023年4月,在菲律宾东部1所医院选取17名护士参与研究。采用Braun和Clarke主题分析法对数据进行分析。结果共提炼出3个主题及7个副主题:影响护士的行为和绩效(帮助获取研究信息和学习、灵活性和适应性、护士之间的合作与沟通),影响护士的研究参与(领导策略、培训与专业发展),以及影响医院对变化的适应(组织绩效与成功、护士参与和工作满意度)。结论积极的护理研究文化对塑造护士的行为和绩效、参与护理研究以及医院对变化的适应具有至关重要的作用,因此对医院护理研究文化的益处提供了支持。总之,提炼出的主题有助于护理管理者更深入地了解护理研究文化对医疗保健系统各层面的影响。

关键词：文化医院护理人员菲律宾定性研究研究

Detection and Defense Method Against False Data Injection Attacks for Distributed Load Frequency Control System in Microgrid

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 913-924页

作者： Zhixun Zhang Jianqiang Hu Jianquan Lu Jie Yu Jinde Cao Ardak Kashkynbayev the school of Cyber Science and Engineering Southeast UniversityNanjing 210096China the school of Mathematics Southeast UniversityNanjing 211189China the school of Electronic Information and Electrical Engineering Chengdu UniversityChengdu 610106China the Yonsei Frontier Laboratory Yonsei UniversitySeoul 03722South Korea school of Electrical Engineering Southeast UniversityNanjing 210096China the Department of Mathematics Nazarbayev UniversityNur-Sultan 010000Kazakhstan

In the realm of microgrid(MG),the distributed load frequency control(LFC)system has proven to be highly susceptible to the negative effects of false data injection attacks(FDIAs).Considering the significant responsibility of the distributed LFC system for maintaining frequency stability within the MG,this paper proposes a detection and defense method against unobservable FDIAs in the distributed LFC ***,the method integrates a bi-directional long short-term memory(Bi LSTM)neural network and an improved whale optimization algorithm(IWOA)into the LFC controller to detect and counteract ***,to enable the Bi LSTM neural network to proficiently detect multiple types of FDIAs with utmost precision,the model employs a historical MG dataset comprising the frequency and power ***,the IWOA is utilized to optimize the proportional-integral-derivative(PID)controller parameters to counteract the negative impacts of *** proposed detection and defense method is validated by building the distributed LFC system in Simulink.

关键词： Microgrid load frequency control false data injection attack bi-directional long short-term memory(BiLSTM)neural network improved whale optimization algorithm(IWOA) detection and defense

From food waste to high-capacity hard carbon for rechargeable sodium-ion batteries

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Carbon Resources Conversion 2024年第3期7卷 66-73页

作者： Madina Kalibek Lunara Rakhymbay Zhanar Zhakiyeva Zhumabay Bakenov Seung-Taek Myung Aishuak Konarov Department of Chemical and Materials Engineering School of Engineering and Digital SciencesNazarbayev University53 Kabanbay Batyr Ave.AstanaKazakhstan Hybrid Materials Research Center Department of Nanotechnology and Advanced Materials EngineeringSejong Battery InstituteSejong UniversitySeoul 05006South Korea

In this study,we introduce a straightforward and effective approach to produce P-doped hard carbon using coffee grounds as the precursor,with H_(3)PO_(4)serving as the doping *** varying the concentrations of H_(3)PO_(4)(1 M,2 M,and 3 M),we aimed to determine the optimal doping level for maximizing the incorporation of phosphorus ions into the carbon *** investigation revealed that using 2 M of H_(3)PO_(4)as the dopant material for hard carbon led to promising electrochemical performance when employed as an anode material for sodium-ion *** P-doped hard carbon,carbonized at 1300℃,exhibited an impressive reversible capacity of 341 mAh g􀀀1 at a current density of 20 mA g􀀀1,with an initial Coulombic efficiency(ICE)of 83%.This outstanding electrochemical performance of P-doped hard carbon can be attributed to its unique properties,including a porous agglomerated structure,a significant interlayer spacing,and the formation of C-P bonds.

关键词： Coffee waste Hard carbon Phosphorus doping Sodium-ion batteries

Concurrent hetero-/homo-geneous electrocatalysts to bi-phasically mediate sulfur species for lithium-sulfur batteries

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Journal of Energy Chemistry 2024年第6期93卷 663-668,I0016页

作者： Rui-Bo LingHu Jin-Xiu Chen Jin-Hao Zhang Bo-Quan Li Qing-Shan Fu Gulnur Kalimuldina Geng-Zhi Sun Yunhu Han Long Kong Xi’an Institute of Flexible Electronics(IFE) Northwestern Polytechnical UniversityXi’an 710129ShaanxiChina Institute of Advanced Materials Nanjing Tech UniversityNanjing 211816JiangsuChina Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China Department of Mechanical and Aerospace Engineering School of Engineering and Digital SciencesNazarbayev UniversityKabanbay Batyr Ave.53Astana 010000Kazakhstan

Expediting redox kinetics of sulfur species on conductive scaffolds with limited charge accessible surface is considered as an imperative approach to realize energy-dense and power-intensive lithium-sulfur(Li-S)*** this work,the concept of concurrent hetero-/homo-geneous electrocatalysts is proposed to simultaneously mediate liquid-solid conversion of lithium polysulfides(LiPSs)and solid lithium disulfide/sulfide(Li_(2)S_(2)/Li_(2)S)propagation,the latter of which suffers from sluggish reduction kinetics due to buried conductive scaffold surface by extensive deposition of Li_(2)S_(2)/Li_(2)*** selected model material to verify this concept is a two-in-one catalyst:carbon nanotube(CNT)scaffold supported iron-cobalt(Fe-Co)alloy nanoparticles and partially carbonized selenium(C-Se)*** Fe-Co alloy serves as a heterogeneous electrocatalyst to seed Li_(2)S_(2)/Li_(2)S through sulphifilic active sites,while the C-Se sustainably releases soluble lithium polyselenides and functions as a homogeneous electrocatalyst to propagate Li_(2)S_(2)/Li_(2)S via solution *** bi-phasic mediation of the sulfur species benefits reduction kinetics of LiPS conversion,especially for the massive Li_(2)S_(2)/Li_(2)S growth scenario by affording an additional solution directed route in case of conductive surface being largely *** strategy endows the Li-S batteries with improved cycling stability(836 mA h g^(-1)after 180 cycles),rate capability(547 mA h g^(-1)at 4 C)and high sulfur loading superiority(2.96 mA h cm^(-2)at 2.4 mg cm^(-2)).This work hopes to enlighten the employment of bi-phasic electrocatalysts to dictate liquid-solid transformation of intermediates for conversion chemistry batteries.

关键词： Lithium-sulfur batteries Electrocatalysis Lithium polysulfides Sulfur cathode Energy density

Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model

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Infectious Disease Modelling 2024年第1期9卷 234-244页

作者： Ashley N.Micuda Mark R.Anderson Irina Babayan Erin Bolger Logan Cantin Gillian Groth Ry Pressman-Cyna Charlotte Z.Reed Noah J.Rowe Mehdi Shafiee Benjamin Tam Marie C.Vidal Tianai Ye Ryan D.Martin Department of Physics Engineering Physics&AstronomyQueen's UniversityKingstonONCanada Department of Medical Biophysics Western UniversityLondonONCanada Department of Mathematics and Statistics Queen's UniversityKingstonONCanada Department of Biology Queen's UniversityKingstonONCanada Department of Electrical and Computer Engineering Nazarbayev UniversityNur-SultanKazakhstan Energetic Cosmos Laboratory Nazarbayev UniversityNur-SultanKazakhstan school of Computing Queen's UniversityKingstonONCanada Department of Biomedical and Molecular Sciences Queen's UniversityKingstonONCanada Department of Physics University of OxfordOxfordUnited Kingdom Department of Physics Stanford UniversityStanfordCAUnited States

This work introduces the Queen's university Agent-Based Outbreak Outcome Model(QUABOOM).This tool is an agent-based Monte Carlo simulation for modelling epidemics and informing public health *** illustrate the use of the model by examining capacity restrictions during a *** find that public health measures should focus on the few locations where many people interact,such as grocery stores,rather than the many locations where few people interact,such as small *** also discuss a case where the results of the simulation can be scaled to larger population sizes,thereby improving computational efficiency.

关键词： Monte-carlo Agent-based epidemic modelling COVID-19 Small business capacity restrictions Public health Basic reproductive number

Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning

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Computers, Materials & Continua 2024年第4期79卷 713-733页

作者： Aizaz Ali Maqbool Khan Khalil Khan Rehan Ullah Khan Abdulrahman Aloraini Department of IT and Computer Science Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur22620Pakistan Software Competence Center Hagenberg Softwarepark 32aHagenberg4232Austria Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstana010000Kazakhstan Department of Information Technology College of ComputerQassim UniversityP.O.Box 1162BuraydahSaudi Arabia

Sentiment analysis, a crucial task in discerning emotional tones within the text, plays a pivotal role in understandingpublic opinion and user sentiment across diverse *** numerous scholars conduct sentiment analysisin widely spoken languages such as English, Chinese, Arabic, Roman Arabic, and more, we come to grapplingwith resource-poor languages like Urdu literature which becomes a challenge. Urdu is a uniquely crafted language,characterized by a script that amalgamates elements from diverse languages, including Arabic, Parsi, Pashtu,Turkish, Punjabi, Saraiki, and more. As Urdu literature, characterized by distinct character sets and linguisticfeatures, presents an additional hurdle due to the lack of accessible datasets, rendering sentiment analysis aformidable undertaking. The limited availability of resources has fueled increased interest among researchers,prompting a deeper exploration into Urdu sentiment analysis. This research is dedicated to Urdu languagesentiment analysis, employing sophisticated deep learning models on an extensive dataset categorized into fivelabels: Positive, Negative, Neutral, Mixed, and Ambiguous. The primary objective is to discern sentiments andemotions within the Urdu language, despite the absence of well-curated datasets. To tackle this challenge, theinitial step involves the creation of a comprehensive Urdu dataset by aggregating data from various sources such asnewspapers, articles, and socialmedia comments. Subsequent to this data collection, a thorough process of cleaningand preprocessing is implemented to ensure the quality of the data. The study leverages two well-known deeplearningmodels, namely Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), for bothtraining and evaluating sentiment analysis performance. Additionally, the study explores hyperparameter tuning tooptimize the models’ efficacy. Evaluation metrics such as precision, recall, and the F1-score are employed to assessthe effectiv

关键词： Urdu sentiment analysis convolutional neural networks recurrent neural network deep learning natural language processing neural networks

ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

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Intelligent Automation & Soft Computing 2024年第2期39卷 301-317页

作者： Aiman Muhammad Arshad Bilal Khan Khalil Khan Ali Mustafa Qamar Rehan Ullah Khan Department of Computer Science City University of Science and Information TechnologyPeshawarPakistan Department of Computer Science School of Engineering and Digital SciencesNazarbayev UniversityAstanaKazakhstan Department of Computer Science College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and *** improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and *** evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are *** findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,*** metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling *** study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and *** results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

关键词： Machine learning author profiling AdaBoostM1 random forest ensemble learning text classification

Nonlinear dynamical analysis of some microelectromechanical resonators with internal damping

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Acta Mechanica Sinica 2021年第9期37卷 1457-1466,I0004页

作者： Dongming Wei Daulet Nurakhmetov Christos Spitas Almir Aniyarov Dichuan Zhang school of Sciences and Humanities Nazarbayev UniversityNur-Sultan010000Kazakhst school of Engineering Nazarbayev UniversityNur-Sultan010000Kazakhstan

In this paper, a new Kelvin-Voigt type beam model of a microelectromechanical resonator made of power-law materials taking into account internal strain-rate damping is proposed and the corresponding lumped-parameter model is derived. Analytical formulas of the lumped parameters in the model are presented. And the pull-in solution is analyzed based on the lumped-parameter model. It is demonstrated analytically and numerically that the internal damping plays an important role in the pull-in solution as well as in determination of the amplitudes and frequencies of the resonator. The hysteresis loops are provided for this model with initial conditions using numerical simulations. The approximation of the electrostatic force in the lumped-parameter model can describe the relations between amplitudes and frequencies with different values of the stiffness and damping coefficients quite well.

关键词： Power-law materials Euler-Bernoulli cantilever beam Lumped-parameter model Microelectromechanical system Strain-rate damping

Generalized stiffness and effective mass coefficients for power-law Euler-Bernoulli beams

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Acta Mechanica Sinica 2020年第1期36卷 160-175页

作者： Piotr Skrzypacz Daulet Nurakhmetov Dongming Wei school of Sciences and Humanities Nazarbayev University010000Nur-SultanKazakhstan

We extend the well-known concept and results for lumped parameters used in the spring-like models for linear materials to Hollomon’s power-law *** provide the generalized stiffness and effective mass coefficients for the power-law Euler-Bernoulli beams under standard geometric and load *** particular,our mass-spring lumped parameter models reduce to the classical models when Hollomon’s law reduces to Hooke’s *** there are no known solutions to the dynamic power-law beam equations,solutions to our mass lumped models are compared to the low-order Galerkin approximations in the case of cantilever beams with circular and rectangular cross-sections.

关键词： Power-law Euler-Bernoulli beams Lumped parameter models Generalized stiffness coefficient Effective mass coefficient