Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment by Jinglun Liang, Yisheng Rong, Guoliang Ye, Xiaoxiao Li, Jianwen Guo, Zhenzhen He

“…Most existing schemes do not take the joint torque limit and other inherent physical structure limits in a manipulator into account at the same time. …”
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MODELS AND APPLIED INFORMATION TECHNOLOGY FOR SUPPLY LOGISTICS IN THE CONTEXT OF DEMAND SWINGS by Viktor Kosenko, Viktors Gopejenko, Elena Persiyanova

“…The following methods were used: structural process models, methods for regression analysis and time series forecasting, inventory management models, STATISTICA software package, object-oriented programming methods. …”
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A BiLSTM-Based Hybrid Ensemble Approach for Forecasting Suspended Sediment Concentrations: Application to the Upper Yellow River by Jinsheng Fan, Renzhi Li, Mingmeng Zhao, Xishan Pan

“…This study proposes a hybrid ensemble model—VMD-MGGP-NGO-BiLSTM-NGO—which integrates Variational Mode Decomposition (VMD) for signal decomposition, Multi-Gene Genetic Programming (MGGP) for feature filtering, and a double-optimized NGO-BiLSTM-NGO (Northern Goshawk Optimization) structure for enhanced predictive learning. …”
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MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION by Marina A. Nikitina, Irina M. Chernukha

“…The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.…”
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AI Reasoning in Deep Learning Era: From Symbolic AI to Neural–Symbolic AI by Baoyu Liang, Yuchen Wang, Chao Tong

“…Beyond a historical narrative, we introduce a formal definition of AI reasoning and propose a novel three-dimensional taxonomy that organizes reasoning paradigms by representation form, task structure, and application context. We then systematically review recent advances—including Differentiable Logic Programming, abductive learning, program induction, logic-aware Transformers, and LLM-based symbolic planning—highlighting their technical mechanisms, capabilities, and limitations. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Meanwhile, in contemporary economics, topology is being used for high-dimension reduction, complex network construction, and structural data mining, combined with techniques of machine learning, and applied to high-dimensional time series and structure analysis in financial markets. …”
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Characterization of the C-terminal tail of the Arc protein. by Melissa Boldridge, Jody Shimabukuro, Keith Nakamatsu, Christian Won, Chad Jansen, Helen Turner, Lei Wang

“…Structural prediction programs suggested that the C-terminal tail is structurally disordered. …”
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Seismic Optimization of High Cantilever Multianchor Pile Strengthening Soil Slopes against Earthquakes by Honggang Wu, Lifang Pai, Hao Lei

“…The optimization effect of optimized structures is related to the position of the shock-absorbing layer. …”
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Mixed ℋ-Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actua... by N. Boonsatit, R. Sugumar, D. Ajay, G. Rajchakit, C. P. Lim, P. Hammachukiattikul, M. Usha, P. Agarwal

“…The relevant data including limits of actuator faults, bounds of the nonlinear terms, and external disturbances are available for designing the controller structure. Novel Lyapunov–Krasovskii functional (LKF) is constructed to verify the stability of the error model and performance level. …”
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A study of Pagu proverbs: Saving an endangered language of North Halmahera by Dalan M. Perangin-Angin, Novita Dewi

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A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models by Chenglong Xu, Peidong Xu, Yuxin Dai, Shi Su, Luxi Zhang, Jun Zhang, Yuyang Bai, Tianlu Gao, Qingyang Xie, Lei Shang, Wenzhong Gao

“…Scenario generation proves to be an effective approach for addressing uncertainties in stochastic programming for power systems with integrated renewable resources. …”
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Understanding the Growth and Properties of Sputter‐Deposited Phase‐Change Superlattice Films by Simone Prili, Valeria Bragaglia, Vara Prasad Jonnalagadda, Jesse Luchtenveld, Bart J. Kooi, Fabrizio Arciprete, Abu Sebastian, Ghazi Sarwat Syed

“…Several reports have highlighted that programming efficiency improves in devices featuring superlattice stacks, such as Ge2Sb2Te5/Sb2Te3. …”
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Optimal PV‐storage capacity planning for rail transit self‐consistent energy systems considering extreme weather conditions by Siyu Guo, Liuyang Cai, Haiyi Wu, Guanghui Song, Li Lin, Yanbo Chen

“…Given the above background, this paper proposes a planning method for the optimal photovoltaic (PV)‐storage capacity of rail transit self‐consistent energy systems considering the impact of extreme weather. First, the basic structure of a rail transit self‐consistent energy system is presented. …”
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Control of Greenhouse Environmental Conditions with IOT Based Monitoring and Analysis System by Ali Çaylı, Adil Akyüz, Abdullah Nafi Baytorun, Sedat Boyacı, Sait Üstün, Fatma Begüm Kozak

“…The proposed system may be useful for monitoring indoor climate and controlling ventilation, irrigation and heating systems, especially for small enterprises due to the modular structure.…”
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Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes by Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli

“…The behavior selection module is composed of a two-level structure of four action policies obtained from PL-fMDPs. …”
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A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes by Risto Heikkinen, Heikki Hämäläinen, Mikko Kiljunen, Salme Kärkkäinen, Jos Schilder, Roger I. Jones

“…C, N, H) for two trophic levels, when the structure of the food web is known. In addition, the model allows inclusion of latent trophic levels (i.e. for which no empirical data are available) intermediate between sources and measured consumers. …”
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Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines by George Dimitriadis, Ella Svahn, Andrew F MacAskill, Athena Akrami

“…Heron allows researchers to design experiments according to their own mental schemata, represented as a Knowledge Graph – a structure that mirrors the logical flow of an experiment. …”
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Optimization Model for Safeguarding Vulnerable Components in Integrated Energy Systems Based on Weighted Betweenness by ZHANG Chenwei, WANG Ying, LI Yaping, ZHANG Kaifeng

“…To address the complex betweenness computations and non-linear objective functions, the model is formulated as a bilevel structure based on the nature of protection measures first. …”
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Parity influences postpartum adaptations in the maternal gut microbiota by Zharkyn Jarmukhanov, Elizaveta Vinogradova, Nurislam Mukhanbetzhanov, Samat Kozhakhmetov, Deniza Khassenbekova, Almagul Kushugulova

“…By conducting metagenomic sequencing analysis on 60 participants (34 postpartum mothers and 26 controls), we demonstrated significant differences in microbial diversity and community structure between postpartum mothers and control, as well as subtle differences between first-time mothers and multiple-birth mothers. …”
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Verification of functional models of chemical manufacturing by E. V. Burlyaeva, V. V. Burlyaev, V. V. Kononenko, V. S. Tsekhanovich

“…A knowledge base structure comprised of 3 interrelated predicates to describe the tree of diagrams, nodes and edges of the graphs was suggested. …”
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