Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…IntroductionTraditional Chinese medicine (TCM) prescriptions are generally formulated by experienced TCM researchers based on their expertise and data statistical methods.MethodsIn order to predict TCM formulas for diabetes more accurately, this paper proposes a novel multi-source ensemble prediction method that combines machine learning ensemble techniques and multi-source data. …”
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Competitiveness of Russian Universities in the Global System of Higher Education: Quantitative Analysis by D. A. Endovitsky, V. V. Korotkikh, M. V. Voronova

“…Parametric and non-parametric methods for data analysis and machine learning.Results. The authors figured out the hidden determinants of international competitiveness of Russian universities and the national educational system of the Russian Federation. …”
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Optimal Scheduling of Microgrids Based on an Improved Dung Beetle Optimization Algorithm by Yuntao Yue, Haoran Ren, Dong Liu, Lenian Zhang

“…A tent mapping, non-dominated sorting, and reverse elite learning strategy is proposed to improve the Dung Beetle Optimization algorithm (DBO); therefore, the IDBO is developed. …”
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Enhanced education on geology by 3D interactive virtual geological scenes by Yuan Fang, Yuxin Li, Lei Fan

“…Their feedback served to validate the effectiveness of the virtual geology site in providing an interactive and enhanced learning experience. Additionally, the study explores the potential for VR to overcome practical challenges associated with traditional field trips, such as accessibility and safety concerns, making it a versatile tool for ongoing and future educational applications in geology and beyond.…”
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Properties of the new N $$ \mathcal{N} $$ = 1 AdS4 vacuum of maximal supergravity by Nikolay Bobev, Thomas Fischbacher, Krzysztof Pilch

“…Abstract The recent comprehensive numerical study of critical points of the scalar potential of four-dimensional N $$ \mathcal{N} $$ = 8, SO(8) gauged supergravity using Machine Learning software in [1] has led to a discovery of a new N $$ \mathcal{N} $$ = 1 vacuum with a triality-invariant SO(3) symmetry. …”
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Speaking exams with less anxiety in Intelligent Computer-Assisted Language Assessment (ICALA): mirroring EFL learners’ foreign language anxiety, shyness, autonomy, and enjoyment by Botir Elov, Irodakhon Abdullayeva, Laylo Raupova, Azam Kholikov, Marguba Mirkasimova

“…The ramifications of this investigation may be beneficial for individuals who are learning a language, those who are teaching language, and those who are making policy.…”
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Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery by Yanwei Zhao, Longlong Leng, Jingling Zhang, Chunmiao Zhang, Wanliang Wang

“…Quantum (QS), ant (AS), and particle-inspired (PS) high-level learning strategies (HLH) are developed as evolutionary selection strategies (ESs) to improve the performance of the hyperheuristic framework. …”
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Convolutional Neural Decoder for Surface Codes by Hyunwoo Jung, Inayat Ali, Jeongseok Ha

“…Recently, various decoding algorithms based on machine learning have been proposed to improve the decoding performance and latency of QEC codes. …”
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Graph-Based Feature Crossing to Enhance Recommender Systems by Congyu Cai, Hong Chen, Yunxuan Liu, Daoquan Chen, Xiuze Zhou, Yuanguo Lin

“…In recommendation tasks, most existing models that learn users’ preferences from user–item interactions ignore the relationships between items. …”
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Otolaryngology exposure in a longitudinal integrated clerkship setting by Grace Margaret Scott, Corliss Ann Elizabeth Best, Damian Christopher Micomonaco

“…Although geographic dissemination of students in the distributed learning model may be a challenge, strategies such as standardized objectives and supplemental electronic resources may serve to solidify clinical knowledge.…”
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An estimation method of sound speed profile based on grouped dilated convolution informer model by Siyuan Qin, Yi Zhang, Zhou Chen

“…Traditional methods for acquiring SSP data are often time-consuming and costly. Machine learning techniques provide a more efficient alternative for SSP inversion, effectively addressing the limitations of conventional approaches.MethodsThis study proposes a novel SSP inversion model based on a grouped dilated convolution (GDC) Informer architecture. …”
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Educational Needs assessment (and Exposure Rate) of Emergency Medicine Technicians - One Step toward Accountable Education by farzaneh zarei, ghobad moradi, reza pira

“…Conclusion: Considering that to determine the educational priorities, the level of exposure and the level of need for education are considered (which are the criteria for determining the necessity of learning) and on the other hand, the headings of the educational curriculum of pre-hospital emergency medicine are also extensive, it seems that it is necessary to carry out wider studies in this context.…”
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The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review by Chen Hua, Wencheng Zhang, Hanghao Fu, Yuhao Zhang, Biao Yu, Chunmao Jiang, Yuliang Wei, Ziyu Chen, Xinkai Kuang

“…We begin by discussing the concept of vehicle mobility, followed by a systematic and thorough summary of the primary prediction methods, including empirical, semi-empirical, numerical simulation, and machine learning approaches. The strengths and weaknesses of these methods are compared and analyzed in detail. …”
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dotears: Scalable and consistent directed acyclic graph estimation using observational and interventional data by Albert Xue, Jingyou Rao, Sriram Sankararaman, Harold Pimentel

“…Causal regulatory networks can be represented by directed acyclic graphs (DAGs), but lack of identifiability and a combinatorial solution space complicate learning DAGs from observational data. Score-based methods have improved the practical scalability of inferring DAGs, but are sensitive to error variance structure. …”
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GenSQLi: A Generative Artificial Intelligence Framework for Automatically Securing Web Application Firewalls Against Structured Query Language Injection Attacks by Vahid Babaey, Arun Ravindran

“…The framework achieves two primary objectives: (1) generating diverse and validated SQLi payloads using in-context learning, thereby minimizing hallucinations, and (2) automating defense mechanisms by testing these payloads against a vulnerable web application secured by a WAF, classifying bypassing attacks, and constructing effective WAF security rules through generative AI techniques. …”
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CONTEMPORARY LINGUODIDACTICS: DEFINING GOALS AND OBJECTIVES OF FOREIGN LANGUAGE TEACHING by T. K. Tsvetkova

“…However, this interpretation of the goals of foreign language teaching does not demonstrate specificity of foreign language learning in comparison with other disciplines studied at school or university. …”
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Current development and future prospects of multi-target assignment problem: A bibliometric analysis review by Shuangxi Liu, Zehuai Lin, Wei Huang, Binbin Yan

“…Subsequently, existing solution algorithms for the MTA problem are reviewed, generally falling into three categories: exact algorithms, heuristic algorithms, and machine learning algorithms. Finally, a development framework is proposed based on the ''HIGH'' model (high-speed, integrated, great, harmonious) to guide future research and intelligent weapon system development concerning the MTA problem. …”
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Progress on responsive neurostimulation in treatment of drug⁃resistant epilepsy by FAN Xiu⁃liang, BAI Yu⁃tong, YANG An⁃chao, ZHANG Kai

“…This paper aims to review the composition of the RNS, optimization and dyanmic adjustment of stimulation parameters, long⁃term data recording and analysis, fusion with machine learning, clinical efficacy, and comparison with vagus nerve stimulation (VNS). …”
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Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…In the modeling stage, data-driven methods are often used to build the system model or rule base; In the optimization stage, heuristic search or reinforcement learning methods can be applied to find the optimal operating parameters based on the constructed model or rule base. …”
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Awareness and attitudes of pregnant women concerning genetic disorders and pregnancy termination in northeastern Iran by Nafiseh Todarbary, Abouzar Irandegani, Mojtaba Meshkat, Aida Gholoobi, Tayebeh Hamzehloei

“…Additionally, the number of children was correlated with congenital blindness, Duchenne muscular dystrophy, autism, Proteus syndrome, Klinefelter syndrome, anencephaly, mental retardation (MR), quadriplegia, and severe learning disability and mental health (LDMH). Age was associated with conditions such as epilepsy, congenital blindness, schizophrenia, and severe LDMH. …”
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