Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) facilitate detailed analysis of spatial and temporal data to better predict energy usage. …”
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Trade-Offs of Plant Biomass by Precipitation Regulation Across the Sanjiangyuan Region of Qinghai–Tibet Plateau by Mingxue Xiang, Gang Fu, Junxi Wu, Yunqiao Ma, Tao Ma, Kai Zheng, Zhaoqi Wang, Xinquan Zhao

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New Perspectives on the Causes of Stagnation and Decline in the Sharing Economy: Application of the Hybrid Multi-Attribute Decision-Making Method by Hsu-Hua Lee, Chien-Hua Chen, Ling-Ya Kao, Wen-Tsung Wu, Chu-Hung Liu

“…The DEMATEL technique is used to construct the Influential Network Relationship Map (INRM), while the ANP concept is incorporated to develop the D&ANP model. …”
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‘It is me who eats, to nourish him’: a mixed‐method study of breastfeeding in post‐earthquake Haiti by Jenny Dörnemann, Ann H. Kelly

“…In a situation of crisis, mothers' worries about insufficiency of breast milk, disruption of social networks and free unmonitored distribution of breast milk substitutes impact feeding practices. …”
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Enhancing Intelligent Control Strategies for UAVs: A Comparative Analysis of Fuzzy Logic, Fuzzy PID, and GA-Optimized Fuzzy PID Controllers by Nigatu Wanore Madebo

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Quels productions, usages et partages des cartographies de végétation dans l’estuaire de la Loire ? by Jérôme Sawtschuk, Mathieu Le Dez, Valentin Urvois, Boris Mericskay, Kristell Le Bot

“…However, knowledge about vegetation dynamics still remain partial and requires standardization to better understand estuarian landscape changes. …”
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A Cross-Modal Emergency Recognition Method Integrating Attentional Collaboration and Contrastive Learning by HUANG Shaonian, PENG Yongtao, WEN Peiran, LIU Yao

“…Next, a cross-modal attentional collaboration network is introduced to capture intricate relationships between image-text features, enhancing inter-modal consistency and mitigating the influence of misleading information. …”
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An Adaptive Control Strategy with Switching Gain and Forgetting Factor for a Robotic Arm Manipulator by Mohammed Yousri Silaa, Oscar Barambones, Aissa Bencherif, Ilyas Rougab

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Single-cell RNA sequencing reveals key regulators and differentiation trajectory of iPSC-derived cardiomyocytes by Lu Li, Dandan Li, Jiahong Wang, Yong Dai

“…Abstract Cardiac differentiation of human pluripotent stem cells is not only a new strategy of regenerative therapy for cardiovascular disease treatment but also provides unique opportunities for the study of in vitro disease models and human heart development. To elucidate the dynamic gene regulatory networks and pivotal regulators involved in the cardiomyocyte differentiation process, we conducted an analysis of single-cell RNA sequencing data obtained from the reprogramming of two human induced pluripotent stem cell (iPSC) lines into cardiomyocytes. …”
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Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning by Tongyue Li, Dianxi Shi, Songchang Jin, Zhen Wang, Huanhuan Yang, Yang Chen

“…This method naturally models the interactions within a multi-agent system as a graph, employing hierarchical graph attention to capture the complex cooperative and competitive relationships among agents, thereby enhancing their adaptability to dynamic environments. Specifically, graph neural networks encode agent observations as single feature-embedding vectors, maintaining a constant dimensionality irrespective of the number of agents, which improves model scalability. …”
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User Concerns Analysis and Bayesian Scenario Modeling of Typhoon Cascading Disasters Based on Online Public Opinion by Yirui Mao, Shuai Hong, Jin Qi, Sensen Wu

“…The scenario model is constructed by calculating scenario node probability distributions using dynamic Bayesian networks (DBNs). In this study, Typhoon Bebinca is selected to verify the proposed scenario model; the results demonstrate that the model is reliable and its evolution process aligns with the impacts of typhoon cascading disasters. …”
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From Static to AI-Driven Detection: A Comprehensive Review of Obfuscated Malware Techniques by Saranya Chandran, Sreelakshmi R. Syam, Sriram Sankaran, Tulika Pandey, Krishnashree Achuthan

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Driving innovation: When design collaboration becomes open source, how do reward mechanisms and in-process feedback act as catalysts. by Boqun Xu, Kexin Xu, Yuning Zhu, Yiting Zhou, Xiaojian Liu

“…External incentives are key in this dynamic. This study focuses on two representative motivational factors: reward mechanisms and transparent in-process feedback, and conducts a 2 × 2 experiment where designers completed multiple rounds of product colorization tasks with simultaneous resource exchange in an online environment. …”
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A Pareto-Based Clustering Approach for Solving a Bi-Objective Mobile Hub Location Problem with Congestion by Maryam Dehghan Chenary, Arman Ferdowsi, Richard F. Hartl

“…As (urban) transportation networks evolve, mobile hubs play an increasingly vital role in promoting sustainable logistics solutions and addressing complex operational challenges. …”
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The confluence of project and innovation management: A scientometric analysis of emerging trends and research frontiers by Lihong Zhang, Saeed Banihashemi, Yujue Zhang, Song Chen

“…Using bibliometric techniques and CiteSpace visualization, key research trends, collaborative networks, and emerging fields within PM-IM literature are identified. …”
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Advancing sustainable investing: A deep learning model for multi-source stock prediction by Hongxuan Yu, Tingting Zhang, Murat Kizildag

“…This multifaceted approach is operationalized within a predictive model underpinned by long short-term memory (LSTM) networks and an attention framework geared toward deciphering the intricate, non-linear patterns characteristic of stock market time series data. …”
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Crossing views on the field by Hugo Rochard, Cécile Mattoug, Cécile Gauthier, Marion Brun

“…The study of urban wastelands as specific forms of interstices engages researchers to intersect disciplines, knowledge and positionings on the border between ecological and social dynamics. The Interfriches network - carried by an interdisciplinary collective - was created in 2019 to bring together human, social and environmental scientists and practitioners on the common object of urban wastelands. …”
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Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action by Herbert Jodlbauer, Manuel Brunner, Nadine Bachmann, Shailesh Tripathi, Matthias Thürer

“…We envision future supply chains as dynamic networks of networks, necessitating the adoption of a value architecture concept that extends a firm’s business model to an ecosystem business model. …”
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Characterization of Power System Oscillation Modes Using Synchrophasor Data and a Modified Variational Decomposition Mode Algorithm by José Oscullo Lala, Nathaly Orozco Garzón, Henry Carvajal Mora, Diego Echeverria, José Vega-Sánchez, Takaaki Ohishi

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Intention Recognition of AAV Swarm Based on GAT-EPool-BiGRU Model by Jiajun Yuan, Xiang Jia, Yu An, Liang Geng, Lei Shu

“…Addressing the limitations of existing methods—such as the low feature transfer efficiency of stacked autoencoders (SAE) and the tendency of panoramic convolutional long short-term memory networks (PC-LSTM) to lose tactical details—this paper proposes a novel deep learning model called GAT-EPool-BiGRU, which integrates Graph Attention Networks (GAT), Edge Pooling (EPool), and Bidirectional Gated Recurrent Units (BiGRU). …”
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