Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG by Adam Gyula Nemes, Adam Gyulai, Adam Szarvas, Erno Nemeth, Kristof Tajti, Viktor Toth, Gyorgy Eigner

“…We demonstrate the dataset’s practical applicability for EEG-based motor decoding by developing and evaluating deep learning classification models, highlighting dataset suitability despite using an affordable EEG recording headset. …”
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Suppression of (0001) plane emission in GaInN/GaN multi-quantum nanowires for efficient micro-LEDs by Katsuro Sae, Lu Weifang, Ito Kazuma, Nakayama Nanami, Yamamura Shiori, Jinno Yukimi, Inaba Soma, Shima Ayaka, Sone Naoki, Han Dong-Pyo, Huang Kai, Iwaya Motoaki, Takeuchi Tetsuya, Kamiyama Satoshi

“…GaInN/GaN multi-quantum-shell (MQS) nanowires (NWs) are gaining increasing attention as promising materials for developing highly efficient long-wavelength micro-light emitting diodes (LEDs). …”
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Constructing community in the Neolithic of southern Jordan: Quotidian practice in communal architecture. by Cheryl A Makarewicz, Bill Finlayson

“…Recent research in southern Jordan, where skull plastering was not practiced as seen elsewhere in the southern Levant, has revealed that non-residential building structures were a common feature of early Pre-Pottery Neolithic settlements. …”
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Long non-coding RNA SNHG7 as a key driver of colorectal cancer proliferation and metastasis by inhibiting cuproptosis by Xin Guo, Xinyi He, Weitao Chen, Jianlong Zhou, Zejian Lyu, Zhou Li, Yong Li

“…These findings provide insights for developing copper-targeted therapies for CRC patients.…”
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

“…SHAP (SHapley Additive exPlanations) values were used to identify the critical risk factors and interpret the contributions of each feature to the prediction. Results XGBoost was identified as the best-performing model, achieving the highest accuracy, sensitivity, specificity, precision, AUC, and F1 score. …”
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Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models by M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…By incorporating a novel pre-processing method that leverages feature derivatives, the proposed models achieve over 98% accuracy in detecting cyber threats, providing a robust framework for protecting smart power grids from evolving cyber risks.…”
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Climate change impacts and sustainability integration among breast international group members by Seamus O'Reilly, Jessica Griffiths, Lisa Fox, Catherine S. Weadick, Nay My Oo, Lucy Murphy, Robert O'Leary, Theodora Goulioti, Virginie Adam, Evangelia D. Razis, Barbro Lindholm, Gustavo Werustsky, David Cameron, Judith Bliss

“…A 30 item web based survey assessing climate impacts, sustainability engagement, challenges to and facilitators of engagement, and sustainability integration in funding applications was developed, and circulated electronically between November 2023 and March 2024. …”
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COMBINATION OF INVASIVE ASPERGILLOSIS AND MUCORMYCOSIS IN ONCOHEMATOLOGICAL PATIENTS by O. V. Shadrivova, S. N. Khostelidi, Yu. V. Borzova, E. A. Desyatik, A. G. Volkova, M. O. Popova, O. S. Uspenskaya, O. S. Ruzhinskaya, T. V. Shneyder, T. S. Bogomolova, S. M. Ignatyeva, L. S. Zubarovskaya, B. V. Afanasyev, N. N. Klimko

“…We identified that the combination of IA and mucormycosis significantly often develops in patients with acute lymphoblastic leukemia (32 %, р = 0.001), and allogeneic hematopoietic stem cells transplants (allo-HSCT) recipients (52 %, р = 0.001). …”
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Ecological portraits: Mapping functional spectra and space characteristics of birds in China by Fei Duan, Ming Gao, Shuyi Zhu, Xiaoli Shen, Sheng Li

“…Using China’s 1445 bird species, we constructed a comprehensive dataset of their functional traits, encompassing morphological feature, dietary composition, fecundity and space utilization. …”
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A single HIIT session does not alter blood sphingolipid levels in healthy young adults: The SphingoHIIT randomized controlled trial by Thomas Angst, Nadia Weber, Seraina Fischer, Joëlle Lehmann, Denis Infanger, Tony Teav, Fabian Schwendinger, Lukas Streese, Timo Hinrichs, Ilaria Croci, Christian Schmied, Hector Gallart-Ayala, Christoph Höchsmann, Karsten Koehler, Henner Hanssen, Arno Schmidt-Trucksäss, Julijana Ivanisevic, Justin Carrard

“…Ceramide-based scores were developed, predicting cardiometabolic risk independently of and beyond low-density lipoprotein cholesterol. …”
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Machine learning prediction model of prolonged delay to loop ileostomy closure after rectal cancer surgery: a retrospective study by Jianying Liu, Mengxiao Jiang, Xiaoping Chen, Yonglan Ge, Zongxin Zheng, Xia Yang, Wenhao Zhou, Huiting Zhang, Meichun Zheng, Baojia Luo

“…Methods LASSO regression was used for feature screening, and XGBoost was used for machine learning model construction. …”
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Ultra robust negative differential resistance memristor for hardware neuron circuit implementation by Yifei Pei, Biao Yang, Xumeng Zhang, Hui He, Yong Sun, Jianhui Zhao, Pei Chen, Zhanfeng Wang, Niefeng Sun, Shixiong Liang, Guodong Gu, Qi Liu, Shushen Li, Xiaobing Yan

“…Abstract Neuromorphic computing holds immense promise for developing highly efficient computational approaches. …”
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Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising by Nikolaos Bouzianis, Ioannis Stathopoulos, Pipitsa Valsamaki, Efthymia Rapti, Ekaterini Trikopani, Vasiliki Apostolidou, Athanasia Kotini, Athanasios Zissimopoulos, Adam Adamopoulos, Efstratios Karavasilis

“…Methods: A supervised learning framework was developed using real-world paired low- and full-dose images from 105 patients. …”
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Deep learning model for diagnosis of thyroid nodules with size less than 1 cm: A multicenter, retrospective study by Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu

“…Objective: To develop a ultrasound images based dual-channel deep learning model to achieve accurate early diagnosis of thyroid nodules less than 1 cm. …”
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Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

“…A complete pipeline is proposed, encompassing data preprocessing, model training, and validation, including multi-scale feature extraction and optimized loss function configurations. …”
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Fermented Milk Beverages Fortified with Soy Protein by Ekaterina S. Statsenko, Oksana V. Litvinenko, Galina A. Kodirova, Galina V. Kubankova, Nadezhda Yu. Korneva, Olesya V. Pokotilo

“…The research objective was to develop a new technology for fermented milk drinks fortified with soy protein. …”
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Chemical Characterization and In Vitro Evaluation of Glucans from Fermentation-Produced Nutraceutical Bionutri-AR1^®: Antioxidant and Immunomodulatory Properties by Elaine R. Carbonero, Tammara S. M. Novikov, Yagly G. S. Gomes, Dayane R. Brito, Luisa C. Coelho, Marcia F. Mendes, Maria Carolina B. Di Medeiros Leal, Anamélia L. Bocca, Luciano M. Lião

“…Bionutri-AR1^® is a nutraceutical produced via this bioprocess, featuring a complex composition, that has been used to improve the immune systems of debilitated people. …”
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A scalable framework for soil property mapping tested across a highly diverse tropical data-scarce regionZENODO by Rodrigo de Q. Miranda, Rodolfo L.B. Nóbrega, Anne Verhoef, Estevão L.R. da Silva, Jadson F. da Silva, José C. de Araújo Filho, Magna S.B. de Moura, Alexandre H.C. Barros, Alzira G.S.S. Souza, Wanhong Yang, Hui Shao, Raghavan Srinivasan, Feras Ziadat, Suzana M.G.L. Montenegro, Maria do S.B. Araújo, Josiclêda D. Galvíncio

“…Reliable soil property maps are essential for environmental modeling, yet conventional mapping methods remain costly and time-consuming. We developed a machine learning framework that integrates the Soil-Landscape Estimation and Evaluation Program (SLEEP) with gradient boosting to predict soil properties at regional scales and multiple depths. …”
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Dichotomous intronic polyadenylation profiles reveal multifaceted gene functions in the pan-cancer transcriptome by Jiao Sun, Jin-Young Kim, Semo Jun, Meeyeon Park, Ebbing de Jong, Jae-Woong Chang, Sze Cheng, Deliang Fan, Yue Chen, Timothy J. Griffin, Jung-Hee Lee, Ho Jin You, Wei Zhang, Jeongsik Yong

“…The application of this workflow to RNA-seq data from The Cancer Genome Atlas demonstrated that this dichotomous intronic APA pattern is a consistent feature in transcriptomes across both normal tissues and various cancer types. …”
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Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…<b>Methods</b>: We propose a novel evolving U-Net architecture that integrates multi-scale feature extraction, depthwise separable convolutions, residual connections, and attention mechanisms to improve segmentation robustness across diverse imaging conditions. …”
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