Advancing Spanish Speech Emotion Recognition: A Comprehensive Benchmark of Pre-Trained Models by Alex Mares, Gerardo Diaz-Arango, Jorge Perez-Jacome-Friscione, Hector Vazquez-Leal, Luis Hernandez-Martinez, Jesus Huerta-Chua, Andres Felipe Jaramillo-Alvarado, Alfonso Dominguez-Chavez

“…Feature extraction for speech emotion recognition (SER) has evolved from handcrafted techniques through deep learning methods to embeddings derived from pre-trained models (PTMs). …”
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De novo non-canonical nanopore basecalling enables private communication using heavily-modified DNA data at single-molecule level by Qingyuan Fan, Xuyang Zhao, Junyao Li, Ronghui Liu, Ming Liu, Qishun Feng, Yanping Long, Yang Fu, Jixian Zhai, Qing Pan, Yi Li

“…However, rapidly decoding these “molecular keys” with corresponding basecallers remains challenging. We present DeepSME, a nanopore sequencing and deep-learning based framework towards single-molecule encryption, demonstrated by using 5-hydroxymethylcytosine (5hmC) substitution for individual nucleotide recognition rather than sequential interactions. …”
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UTILISING MUSIC AND ART FOR EDUCATIONAL IMPACT AND HOLISTIC PERSONAL GROWTH by Malvina ZARUDIANSKA, Anna KUZMENKO, Liudmyla SKRYPNIK, Yevheniia DUBOVA, Liubov FOHEL

“…Studying these concepts becomes more important because students face rising stress levels while technology creates new educational possibilities. The present research evaluates how art programmes affect student psycho-emotional wellness, social adjustment, and personal competence formation. …”
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Investigating mood and cognition in people with multiple sclerosis: a prospective cross-sectional study protocol by Amit Bar-Or, Kosha Ruparel, Theodore D Satterthwaite, Tyler Moore, Clyde Markowitz, Elena C Cooper, Matthew K Schindler, Rachel B Brandstadter, Monica E Calkins, Ruben Gur, Dina A Jacobs, Laura R Naydovich, Christopher M Perrone, Bailey C Spangler, Scott Troyan, Russell T Shinohara, Erica Berlin Baller

“…The results of this study will be presented at scientific meetings and conferences and published in peer-reviewed journals.…”
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“Al-'Arabiyyatu Baina Yadaikâ€: Textbook by Abdul Rahman ibn Ibrahim Al-Fawzan, Etc. by Abid Nurhuda, Afiffah Vinda Prananingrum

“…This book presents many topics about elements of Islamic and Arabic culture with interesting presentations and has a very high educational value. …”
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X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

“…Current multi-scale neural networks have limited cross-scale feature integration capabilities, which constrain their effectiveness in identifying early neurodegenerative markers. This paper presents an Efficient Cross-Scale Feature-Aware Self-Attention Network (X-FASNet) designed to address these limitations through systematic hierarchical representation learning. …”
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A Bibliometric Exposition and Review on Leveraging LLMs for Programming Education by Joanah Pwanedo Amos, Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Akanbi Bolakale Abdulqudus, Anies Faziehan Zakaria, Abimbola Rhoda Iyanda, Umar Ali Bukar, Zurina Mohd Hanapi

“…This study specifically examines ChatGPT as a representative LLM, exploring its benefits and limitations as both a learning aid for students and a support tool for professionals. …”
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Visible‐Light Chiral Photonic Synapses Based on Hybrid Organic‐Inorganic 2D Perovskites by In‐Kook Hwang, Min Gu Lee, Jae Bum Jeon, Sang Hyun Nam, Daseul Lee, Changhyeon Lee, Junyoung Kwon, Sung‐Gap Im, Young‐Hoon Kim, Kyung Min Kim, Byong‐Guk Park

“…This improvement enhances the learning capability by amplifying CPL direction discrimination ratios. …”
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Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language by Chen Feng, Lu Cao, Di Wu, En Zhang, Ting Wang, Xiaowei Jiang, Jinbo Chen, Hui Wu, Siyu Lin, Qiming Hou, Junming Zhu, Jie Yang, Mohamad Sawan, Yue Zhang

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Transformers for Vision: A Survey on Innovative Methods for Computer Vision by Balamurugan Palanisamy, Vikas Hassija, Arpita Chatterjee, Arpita Mandal, Debanshi Chakraborty, Amit Pandey, G. S. S. Chalapathi, Dhruv Kumar

“…A detailed analysis of key transformer-based vision architectures such as ViT, DeiT, Swin Transformer, PVT, Twins, and CrossViT are presented, alongside their practical applications in image classification, object detection, video understanding, medical imaging, and cross-modal tasks. …”
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STOP: Studying Time-Series of Preeclamptic Emergencies by Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elena Tolozano-Benites, Leonel Vasquez-Cevallos, Lorenzo Cevallos-Torres

“…The predictive phase uses deep learning and statistical models to predict emergency arrivals. …”
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Counting Cattle in Argentina with AI and Satellite Images by S. Torrusio, J. Gonzalez, J. Gonzalez, M. Errázquin, A. Cereceda, M. J. Cassano, N. Morales, R. Saucedo

“…Finally, some very promising preliminary results are presented, such as the average error in the count that was achieved was ± four cows. …”
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Modeling and experimental comparison of residual stresses and microstructure in UNS S32507 welds using Gas Tungsten Arc and Laser Beam Welding processes by G. Surya Prakash Rao, Panchagnula Jayaprakash Sharma, Suresh Akella, Harinadh Vemanaboina, Jasvinder Singh, MVV Prasad Kantipudi, Chander Prakash, Khang Wen Goh, Dao Thanh Phong

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General and stable emulation of finite state machines with spiking neural networks by Ziyang Sun, Zhong Zheng, Binying Zhang, Hanle Zheng, Zikai Wang, Hao Guo, Lei Deng

“…We further incorporate one-hot encoding to enhance the discriminability of state vectors, which is beneficial for learning complex behaviors. Then, we build a random-FSM dataset to evaluate model performance. …”
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A graphical pipeline platform for MRS data processing and analysis: MRSpecLAB by Ying Xiao, Ying Xiao, Antonia Kaiser, Matthias Kockisch, Alex Back, Robin Carlet, Xinyu Liu, Xinyu Liu, Zhiwei Huang, André Döring, Mark Widmaier, Lijing Xin

“…Existing data processing software solutions often demand MRS expertise or coding knowledge, presenting a steep learning curve for novel users. Mastering these tools typically requires a long training time, which can be a barrier for users with limited technical backgrounds. …”
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Extracellular vesicle miRNAs promote the intestinal microenvironment by interacting with microbes in colitis by Qichen Shen, Zhuizui Huang, Lingyan Ma, Jiachen Yao, Ting Luo, Yao Zhao, Yingping Xiao, Yuanxiang Jin

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Empowering Particle Jamming Soft Gripper with Tactility via Stretchable Optoelectronic Sensing Skin by Liyan Mo, Wenhao Xie, Jingting Qu, Jiutian Xia, Yunquan Li, Yuanfang Zhang, Tao Ren, Yang Yang, Juan Yi, Changchun Wu, Yonghua Chen

“…However, integrating tactile sensing into these grippers presents challenges due to the specific properties of the particle jamming mechanism. …”
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Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted‐on Anticreep Composites by Kaifeng Chen, Hua Yang, Ang Wang, Linsen Tang, Xin Zha, Ndeutala Selma Iita, Hong Zhang, Zhuoxuan Li, Xinyu Wang, Wei Yang, Shaoxing Qu, Zongrong Wang

“…The recognition of sitting postures is achieved by two 12 × 12 matrices facilitated by machine learning, which prompts the potential for the augmentation of smart driving.…”
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A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG by Aimilia Ntetska, Andreas Miltiadous, Markos G. Tsipouras, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Dimitrios G. Tsalikakis, Konstantinos Sakkas, Emmanouil D. Oikonomou, Nikolaos Grigoriadis, Pantelis Angelidis, Nikolaos Giannakeas, Alexandros T. Tzallas

“…Our previously published open-access dataset of resting-state (eyes-closed) EEG recordings from patients with Alzheimer’s disease (AD), frontotemporal dementia (FTD), and cognitively normal (CN) controls has attracted significant attention. In this paper, we present a complementary dataset consisting of eyes-open photic stimulation recordings from the same cohort. …”
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Fostering continuous quality improvement in a European rare disease network by Olivia K. C. Spivack, Willemijn F. E. Irvine, Willemijn F. E. Irvine, Steffen Husby, ERNICA Representatives, Tomas Wester, Tomas Wester, René M. H. Wijnen, Mikko Pakarinen, Annette Lemli, Stefaan Tytgat, Frederic Gottrand, JoAnne Fruithof, Annika Mutanen, Merit Tabbers, Mark Bremholm Ellebæk, Jan Deprest, Laurent Storme, Paolo de Coppi, Beverley Power, Alexandra Benachi, Carmen Mesas Burgos, Polona Studen Pauletić, Erwin Ista, Michaela Dellenmark-Blom, Alessio Pini Prato, Anke Widenmann, Romee van Steekelenburg, Marlinde van der Kamp, Daniel Rossi, Iris den Uijl, Roel Bakx, Francesca Russo

“…Evaluating the approach, through qualitative process evaluation, will be critical to capturing learning points.ConclusionsThe ERNICA quality cycle holds tremendous potential for improving the quality of care for patients with rare and complex conditions, both within ERNICA and for other European Reference Networks.…”
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