Partnerships as Professional Learning: Early Childhood Teaching Assistants’ Role Development and Navigation of Challenges Within a Culturally Responsive Robotics Program by Hannah R. Thompson, Lori A. Caudle, Frances K. Harper, Margaret F. Quinn, Mary Kate Avin, The CRRAFT Partnership

“…Accordingly, early childhood educators both require substantial support when integrating culturally responsive computing into curriculum and instruction and offer valuable perspectives on emerging practices. …”
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Inter-brain synchrony in real-world and virtual reality search tasks using EEG hyperscanning by Ashkan F. Hayati, Amit Barde, Ihshan Gumilar, Abdul Momin, Gun Lee, Alex Chatburn, Mark Billinghurst, Mark Billinghurst

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A Heavy-Haul Railway Corrugation Diagnosis Method Based on WPD-ASTFT and SVM by Binghuan Xiao, Jinzhao Liu, Ziyuan Zhang

“…The training and testing samples are classified using Support Vector Machine (SVM). The adaptive short-time Fourier transform (ASTFT) is incorporated with the Renyi entropy and the particle swarm optimization algorithm, which achieves a better aggregation of the time-frequency distribution and reduces the computation cost. …”
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A data driven predictive viscosity model for the microemulsion phase by Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast

“…This study develops a computational, data-driven model to accurately estimate and predict peak phase viscosity in microemulsion systems at dynamic environments. …”
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Simultaneous text and gesture generation for social robots with small language models by Alessio Galatolo, Alessio Galatolo, Katie Winkle

“…IntroductionAs social robots gain advanced communication capabilities, users increasingly expect coherent verbal and non-verbal behaviours. Recent work has shown that Large Language Models (LLMs) can support autonomous generation of such multimodal behaviours. …”
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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

“…The developed model showed also strong predictive performance for indicative agricultural fields located in Europe and North America, reducing considerably the computational time by an average of 73.4% compared to the corresponding analytical approach. …”
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Finding Transcription Factor Binding Motifs for Coregulated Genes by Combining Sequence Overrepresentation with Cross-Species Conservation by Hui Jia, Jinming Li

“…Novel computational methods for finding transcription factor binding motifs have long been sought due to tedious work of experimentally identifying them. …”
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Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection by Tsedeke Temesgen Habe, Keijo Haataja, Pekka Toivanen

“…Its clinical potential lies in supporting faster and more accurate diagnosis. Future work will focus on further optimization and deployment in endoscopic video analysis systems.…”
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A Matching Game for LLM Layer Deployment in Heterogeneous Edge Networks by Benedetta Picano, Dinh Thai Hoang, Diep N. Nguyen

“…Executing the inference of foundation models in a distributed manner presents significant challenges, particularly in optimizing both computing and communication resources. This work introduces a novel deployment scheme for large language model (LLM) layers that jointly considers computation and communication efficiency within an edge network environment to address these issues. …”
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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach by Basma M. Mohammad El-Basioni

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LP-HENN: fully homomorphic encryption accelerator with high energy efficiency by Zhuoyu Tian, Lei Chen, Shengyu Fan, Xianglong Deng, Rui Hou, Dan Meng, Mingzhe Zhang

“…The energy efficiency of LP-HENN is comparable to that of F1, the state-of-the-art ASIC FHE accelerator, while featuring a low power design suitable for edge computing.…”
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Backfire Effect Reveals Early Controversy in Online Media by Songtao Peng, Tao Jin, Kailun Zhu, Qi Xuan, Yong Min

“…Our work highlights a new psychological perspective on conflict behavior in online discussions and bridges behavioral patterns and computational modeling.…”
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On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition by Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado

“…Results: The findings of this study demonstrate that by assigning relative importance to features and removing redundant or superfluous information, it is possible to enhance the system’s execution by up to 31% while preserving the model’s performance at a comparable level. Conclusions: This work proves the usefulness of TinyML as an approach to properly integrate AI into constrained edge embedded systems to support complex strategies such as the proposed hand gesture recognition for the smart rehabilitation of post-stroke patients.…”
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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…Agriculture is crucial in India’s economy and society, supporting rural livelihood and national food security. …”
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Scaling Amphiphilicity with Janus Nanoparticles: A New Frontier in Nanomaterials and Interface Science by Mirela Honciuc, Andrei Honciuc

“…By comparing surfactant behavior and JNP assembly, this work aims to clarify the transferable principles, the knowledge gap, as well as the emergent properties associated with amphiphilic Janus colloids.…”
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Calculation of impact characteristics and icing phase transitions of salty droplets by TANG Yuhao, CHAI Delin, YI Xian, GUI Yewei

“…The typical examples are compared and analyzed, and the difference between the calculation results is less than 10%, which verifies that the calculation program has high accuracy and provides strong support for the further development of the numerical calculation of the salty droplets icing.…”
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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…This study underscores the potential of lightweight neural networks in precision agriculture, offering a scalable solution with low power consumption for real-time applications. Future work will focus on extending SoybeanNet to detect and quantify other critical crop features and integrating it with broader agricultural monitoring systems to support sustainable farming and food security.…”
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Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

“…A Least Squares Support Vector Machine (LS‐SVM) algorithm was developed to predict the air chamber pressure and compare it to the real signal. …”
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Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization by Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles, Dane Morgan

“…We have developed a machine learning model for critical cooling rates for metallic glasses based on computational properties, supporting in-silico screening for desired Rc values and significantly reducing reliance on time-consuming laboratory work. …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…It is recommended that coordinated work on implementing the WHO endorsed SAFE strategy in particular, and enhancing the overall living conditions of the community be given a high priority.…”
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