Resting-state brain activation patterns and network topology distinguish human sign and goal trackers by Martino Schettino, Marika Mauti, Chiara Parrillo, Ilenia Ceccarelli, Federico Giove, Antonio Napolitano, Cristina Ottaviani, Marialuisa Martelli, Cristina Orsini

“…Abstract The “Sign-tracker/Goal-tracker” (ST/GT) is an animal model of individual differences in learning and motivational processes attributable to distinctive conditioned responses to environmental cues. …”
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Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

“…Clustering is an unsupervised machine learning technique used to partition unlabeled data into different groups. …”
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Distribution patterns of N6-methyladenine in the rye genome by Anna Kalinka, Danuta Cembrowska-Lech, Marta Starczak, Daniel Gackowski

“…Abstract N6-methyladenine (6 mA) has emerged as a potential epigenetic marker in eukaryotic genomes, yet its precise distribution patterns and biological functions in plant genomes are still not fully understood. …”
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A Socially Assistive Robot as Orchestrator of an AAL Environment for Seniors by Carlos E. Sanchez-Torres, Ernesto A. Lozano, Irvin H. López-Nava, J. Antonio Garcia-Macias, Jesus Favela

“…Social robots in Ambient Assisted Living (AAL) environments offer a promising alternative for enhancing senior care by providing companionship and functional support. These robots can serve as intuitive interfaces to complex smart home systems, allowing seniors and caregivers to easily control their environment and access various assistance services through natural interactions. …”
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How did the outcome of international cooperation in school-based management help schools respond to the COVID-19 pandemic in Nepal? by Yoko Ishida, Bhim Kumar Shrestha, Uma Thapa, Khagendra Subba

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Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes by Lihang Guan, Yue Zhang, Mingyue Michelle Gu

“…Artificial intelligence (AI) has provided numerous learning benefits due to and beyond its personalization capabilities. …”
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MISAO: A Multi-Strategy Improved Snow Ablation Optimizer for Unmanned Aerial Vehicle Path Planning by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Xiangfu Long

“…To comprehensively evaluate MISAO’s optimization capability, a battery of digital optimization investigations is executed using 23 test functions, and the results of the comparative analysis show that the suggested algorithm has high solving accuracy and convergence velocity. …”
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Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

“…To address these issues, this study proposes an Adaptive Time Compression (ATC) module. Functioning as an independent component, ATC can be seamlessly integrated into existing architectures and achieves data compression by eliminating redundant frames within video data. …”
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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

“…Using simulation, the robustness and functioning of the proposed tuning methodology are evaluated. …”
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The COVID-19-designated hospitals in China: preparing for public health emergencies by Qian Li, Lin Wang, Bangfang Wang, Hongzhou Lu

“…Lastly, learning the lessons from COVID-19 pandemic, a more efficacy and rapid national response to public health emergencies is required. …”
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A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping by Xu Zhang, Xin Liu, Xiang Zhang, Aminjon Gulakhmadov, Jiefeng Wu, Xihui Gu, Won-Ho Nam, Panda Rabindra Kumar, Veber Afonso Figueiredo Costa, Mahlatse Kganyago, Berhanu Keno Terfa, Wenying Du, Chao Wang, Peng Wang, Jing Yuan, Nengcheng Chen

“…Soil moisture (SM) is a critical factor influencing plant growth, agricultural yield, ecosystem functions, and water resource management. Existing SM products, such as SMAP, ERA5, and ESA-CCI, provide daily SM data. …”
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What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. by Julia Amann, Claudia Zanini, Sara Rubinelli

“…Virtual patient networks are a promising tool to favor this switch and much can be learned from the open and user innovation literature where the involvement of online user communities in the innovation process is well-documented.…”
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Implementing hydrogen oxidation reaction on Pt for controlling counter electrode processes by Caroline K. Williams, Pietro Papa Lopes

“…The search for active, stable, and durable materials for electrochemical energy technologies requires increasing levels of precision to establish true structure-function relationships and guide materials design from atomic and molecular scale. …”
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What role can the history of education play in the framework of public history? Looking back on 50 years of involvement in educational historiography… by Marc Depaepe

“…Of course, this does not prevent museums from carefully choosing their material in function of such a possible pedagogical dialogue, without, however, losing sight of its scientific foundation. …”
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Quiet hiring: administrative dimension by Aysel Arslan, Cetin Bektas

“…Quiet hiring is not an extra burden on the employee but a human resources management function that will benefit both the employee and the organization. …”
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MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks by Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu

“…Furthermore, a correlation-based loss function maintains the independence of learned features, enhancing the model’s ability to recognize nuanced harmful content. …”
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Teaching Analytical Instrumental Analysis to Undergraduates in Specialized Degree Programs with Heterogeneous Prior Knowledge: Reflections on Inquiry Based Lecture Activities by Kirsten A. Tucker, Peter L. Pingerelli

“…Guided by a pretest assessment, instructional activities were modified or developed by the authors and aimed at enhancing student engagement and motivation to mitigate prior knowledge gaps, improve analytical problem-solving skills, and facilitate a deeper understanding of modern instrumentation design and function. Detailed activity rationale and descriptions are presented. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…Further, an improved training objective function is designed in the generator to avoid high overlap of generated data and enhance the reliability of generated data. …”
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Handwritten W-Net for High-Frequency Guided Single-Image Super-Resolution by Xiang Yang, Chen Fang, Xiaolan Xie, Minggang Dong

“…To address these problems, we propose an enhanced U-Net, called the handwritten W-Net (HW-Net) architecture, as well as a loss function that uses high-frequency components for guidance. …”
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Ensuring That Dual-Use Means Multi-Value: A Framework for the Co-Prioritization of Cattle Grazing and PV Energy Generation by Nick de Vries, Anna Clare Monlezun

“…The need for open, sun-abundant landscapes puts the solar (PV) industry in competition for land with agriculture and threatens intact native rangeland, stimulating valid concerns about negative impacts to ecological processes and function, such as soil stability, nutrient cycling, water cycling, and biodiversity. …”
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