Motor Demands Constrain Cognitive Rule Structures. by Anne Gabrielle Eva Collins, Michael Joshua Frank

“…Study of human executive function focuses on our ability to represent cognitive rules independently of stimulus or response modality. …”
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MMFOSOM: A Novel Multi-objective Moth–Flame Optimization Algorithm Based on Self-Organizing Mapping by Zhifu Li, Ziyang Zheng, Chengkai Ni, Mingzong Li

“…When the problem involves a single objective function, the optimal solution yields the best value for that objective. …”
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A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

“…Abstract Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. …”
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Corn variety identification based on improved EfficientNet lightweight neural network by Jinpu Xu, Jinpu Xu, Jinhao Lan, Guangjie Lv, Dexin Ma

“…Finally, the Swish activation function was used to improve the stability of gradient transfer, and the SCD_EFTNet model was proposed. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“… Stroke or known as Cerebrovascular Accident (CVA) is a functional disorder caused by impaired blood flow function from within the human brain. …”
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Voltage faults diagnosis for lithium-ion batteries in electric vehicles using optimized graphical neural network by Jian Ouyang, ZiHao Lin, Liyazhou Hu, Xiaofen Fang

“…Abstract Diagnosing voltage faults of lithium-ion batteries is a critical function in the battery management system. Accurate diagnosis of voltage faults is crucial for ensuring the safety and reliability of energy storage applications and electric vehicles (EVs). …”
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Modelo De Memoria Usando Red Neuronal De Retropropagación by Ramiro Alejandro Yerovi Vargas

“…The model experiment learning over all 3D space as a dataset, also learn sequentially with each iteration, consequently have an intelligent system (artificial intelligence). …”
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Extraction of implicit field cost via inverse optimal Schrödinger bridge by Koshi Oishi, Yota Hashizume, Tomoki Nakao, Kenji Kashima

“…Although the optimal transport problem has been studied extensively with respect to its objective function and transport plan, research on the inverse problem remains scarce. …”
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Fine-Grained Local and Global Semantic Fusion for Multimodal Image–Text Retrieval by Shenao Peng, Zhongmei Wang, Jianhua Liu, Changfan Zhang, Lin Jia

“…Finally, a triplet loss function is used to train the entire model, and it is enhanced with an angular constraint. …”
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Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes by Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou

“…Specifically, L2,1-norm minimization is enforced on both the error function and the regularization term which is robust to outliers and noise in gene data. …”
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Assessing carbon–neutral supercapacitors in renewable energy systems with self-improving agent-based molecular fuzzy intelligent algorithms by Oscar Castillo, Hasan Dinçer, Serkan Yüksel, Serkan Eti

“…Abstract Carbon–neutral supercapacitors play an important role in renewable energy investments as environmentally friendly devices that both function as energy storage and aim to reduce carbon footprint. …”
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Modelo De Memoria Usando Red Neuronal De Retropropagación by Ramiro Alejandro Yerovi Vargas

“…The model experiment learning over all 3D space as a dataset, also learn sequentially with each iteration, consequently have an intelligent system (artificial intelligence). …”
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A novel role of the antidepressant paroxetine in inhibiting neuronal Kv7/M channels to enhance neuronal excitability by Huan Shi, Qinqin Li, Fang Hu, Yani Liu, KeWei Wang

“…The reduction of Kv7 channel function can improve neuronal excitability that defines the fundamental mechanism of learning and memory. …”
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Cultivating Bonds: On Urban Allotment Gardens and Their Relationship with Social Capital by Noelia Fernandez-Salido, Alfonso Gallego-Valadés, Carlos Serra-Castells, Jorge Garcés-Ferrer

“…The results reveal that urban gardens function as relational infrastructures, facilitating intergenerational learning, intercultural exchange and inclusive participation through both formal and informal mechanisms. …”
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Design and Implementation of an Intelligent Pest Status Monitoring System for Farmland by Xinyu Yuan, Zeshen He, Caojun Huang

“…For pest species recognition, the model incorporates a Squeeze-and-Excitation (SE) attention module and α-CIoU loss function, reaching 91.30% precision on 3428 field images. …”
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Hybrid Multi-Granularity Approach for Few-Shot Image Retrieval with Weak Features by Aiguo Lu, Zican Li, Yanwei Liu, Pandi Liu, Ke Wang

“…At the same time, the Bi-Level Routing Attention mechanism adaptively focuses on key regions, boosting the model’s discriminative ability for targets in complex backgrounds. The optimized loss function further enhances the robustness and distinctiveness of features, improving retrieval accuracy. …”
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APM-SLAM: Visual localization for fixed routes with tightly coupled a priori map by Linsong Xue, Qi Luo, Kai Zhang

“…Localization along fixed routes is the fundamental function of transportation applications, including patrol vehicles, shuttles, buses, and even passenger vehicles. …”
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Protective effects of Colla Corii Asini Collagen Peptides on D-galactose injection combined with UVB irradiation-induced aging in mice. by Qingdi Luo, Song Zhang, Zhuo Sun, Zhihao Wang, Qiulin Yue, Xin Sun, Li Tian, Baojun Li, Kunlun Li, Chen Zhao, Lin Zhao, Le Su

“…Skin aging, autonomic mobility, memory function and physical deterioration are important features of aging, and effective anti-aging treatments are important in slowing down these processes. …”
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Leveraging the Turnpike Effect for Mean Field Games Numerics by Rene A. Carmona, Claire Zeng

“…Recently, a deep-learning algorithm referred to as Deep Galerkin Method (DGM), has gained a lot of attention among those trying to solve numerically Mean Field Games with finite horizon, even if the performance seems to be decreasing significantly with increasing horizon. …”
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Historical Houses as Architecture Schools in aspect of Student Lived Experience; Case study: Tabriz Islamic Art University by Hmed Beyti, Minoo Gharehbaglou, Bagher Pourjavadasl

“…The research results show that changing the function of historical houses to the architecture school at Tabriz Islamic Art University, despite there is some problems in providing of side spaces affecting education, it is a successful example of the student lived experience that, while preserving historical-cultural properties, it plays a positive role in student education.…”
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