The importance of nutrition correction in the treatment of autism spectrum disorders in children by I. A. Bavykina

“…The questions of laboratory diagnostics of intolerance of food components are considered, examples of clinical efficiency of correction of food, and also the researches reflecting lack of dynamics in sticking to the diets are given.…”
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Fuzzy comprehensive evaluation system and decision support system for learning management of higher education online courses by Jiaohuan Yang

“…AHP aims to create a structured hierarchy out of complex criteria and sub-criteria, allowing for pairwise comparisons and combining expert opinions, resulting in weights that reflect these priorities. …”
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Design and Implementation of Digital Twin Factory Synchronized in Real-Time Using MQTT by Yechang Cho, Sang Do Noh

“…While traditional approaches often encounter challenges due to high investment costs and design complexities, this paper proposes a cost-effective and practical solution that reflects actual factory conditions.…”
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Les stages, capteurs et facteurs des transformations d’un champ professionnel : le cas de l’ingénierie de territoire en Rhône-Alpes by Maud Hirczak, Yoann Morin, Grégoire Feyt

“…This article reflects on the interactions between higher education internships and hosting structures in the field of land planning engineering. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

“…Temporal reasoning capabilities assessment shows BEVWorld excelling in context maintenance and historical data integration (both 95/100), while Holistic Transformer demonstrates superior noise robustness (95/100). Computational efficiency varies significantly, with VCNN (38.50 FPS) and DSCNN Transformer (34.07 FPS) exceeding real-time thresholds, while complex BEV architectures like BEVSegformer (3.97 FPS) require further optimization. …”
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Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach by Junhao Chen, Yan Peng

“…However, during complex tasks such as high-speed maneuvers, fuel consumption exhibits complex dynamics characterized by the coexistence of baseline drift and transient peaks that conventional models often fail to capture accurately, particularly the abrupt peaks. …”
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Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L): A Novel Recurrent Network Architecture with Dynamic Graph Learning for Spatio-Temporal Predicti... by Yuxuan Wang, Zhouyuan Zhang, Shu Pi, Haishan Zhang, Jiatian Pi

“…This paper introduces the Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L), a framework specifically designed to address the complex demands of spatio-temporal prediction. The DG3L model includes a memory-based graph learning module capable of generating dynamic graphs to accurately reflect ongoing changes in spatio-temporal dependencies. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…It is at the higher school that the sharp increase of educational-cognitive activeness is observed; students actively absorb new humanitarian concepts of interdisciplinary content (from social studies, cultural sciences, literature studies, etc.) along with mastering the complex of educationalcognitive actions and skills. …”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…Machine learning was preferred over traditional methods for its ability to capture complex, non-linear relationships in the data, allowing for more accurate predictions of contamination levels and health risks, which is crucial for targeted monitoring and efficient groundwater management in mining-impacted areas. …”
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Runoff Generation Mechanisms of Flash Flood Forecasting in Guanshan River Basin by LI Miao, TANG Wen-jian, DONG Lin-yao, ZENG Yu-jie

“…[Objectives] This study aims to improve the accuracy and efficiency of flash flood forecasting in the Guanshan River Basin and other similar small mountainous watersheds frequently affected by flood disasters by analyzing the runoff generation mechanisms of flash floods. …”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…The System Marginal Price (SMP) is the cost of the last unit of electricity supplied to the grid, reflecting the supply–demand equilibrium and serving as a key indicator of market conditions. …”
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A Novel Approach to Portfolio Construction: An Application of FinBERT Sentiment Analysis and Credibilistic CVaR Criterion by Esmaeil Taheripour, Seyed Jafar Sadjadi, Babak Amiri

“…Portfolio optimization continues to be a complex and challenging task within the fields of finance and management. …”
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Educational creative task as the main teaching tool for formation of compositional abilities of prospective leaders of the studio of decorative and applied creativity by Ekaterina S. Sachkova

“…The method of diagnostics of level of formation of compositional abilities of students is the qualitative assessment by the expert on criteria of visual perception of results of accomplishment by students of control compositional tasks. Efficiency of application of means of formation of compositional abilities of the prospective leaders of the Studio of decorative and applied creativity is reflected the qualitative growth of indicators in the structure of compositional abilities.…”
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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…This trait is regulated by a complex network of pigment interactions, which not only determine coloration but also serve as critical indicators of plant growth dynamics and stress responses. …”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…Results reflect the potential superiority of the given model in detecting DDoS attacks. …”
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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

“…However, classical DeepONet entails quadratic complexity concerning input dimensions during evaluation. …”
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History and modernity of the economy of railway transport in the works of VNIIZHT scientists by L. A. Mazo, O. F. Miroshnichenko, E. N. Efimova

“…The article reflects the most important areas of work and the contribution of scientists of the Department of Economics and Finance of the JSC “VNIIZHT” (now the scientific center “Economics of Complex Projects and Tariff Formation”) in the development of economic science in railway transport since the foundation of the department in 1944 to the present.Theoretical foundations for measuring the economic efficiency of capital investments and new technology in the national economy were created by the head of the department academician T. …”
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A Comparative Study of Deep Reinforcement Learning Algorithms for Urban Autonomous Driving: Addressing the Geographic and Regulatory Challenges in CARLA by Yechan Park, Woomin Jun, Sungjin Lee

“…For a comprehensive performance assessment of the DRL algorithms, we defined several driving performance metrics, including Route Completion, Centerline Deviation Mean, Episode Reward Mean, and Success Rate, which collectively reflect the quality of the driving in terms of its completeness, stability, efficiency, and comfort. …”
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STREAM: a system for tracing radiative transfer and energy balance in heterogeneous surfaces by Tengyuan Fan, Zunjian Bian, Jean-Louis Roujean, Huaguo Huang, Hua Li, Junhua Bai, Biao Cao, Yongming Du, Qing Xiao, Qinhuo Liu

“…Observations from thermal infrared (TIR) remote sensing can only reflect a short period thermal information, although it provides an effective method for global and local LST products. …”
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Identification of digital clinical decision support systems for supporting diagnosis and triage of patients with shoulder disorders: A scoping review protocol. by Cheyenne R Schamerhorn, Nathaniel M Peñas, Jared R Fletcher, Richard Hayman, Breda H F Eubank

“…CDSS not only assist providers with clinical decision-making to ensure quality standards are met, reflect evidence-informed practice, and reduce variation in care, but also help patients navigate and receive an appropriate care pathway amidst numerous, often complex, options. …”
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