Transformers for Neuroimage Segmentation: Scoping Review by Maya Iratni, Amira Abdullah, Mariam Aldhaheri, Omar Elharrouss, Alaa Abd-alrazaq, Zahiriddin Rustamov, Nazar Zaki, Rafat Damseh

“…Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation. …”
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Enzyme replacement therapy for Anderson-Fabry disease: A complementary overview of a Cochrane publication through a linear regression and a pooled analysis of proportions from coho... by Regina El Dib, Huda Gomaa, Alberto Ortiz, Juan Politei, Anil Kapoor, Fellype Barreto

“…<h4>Background</h4>Anderson-Fabry disease (AFD) is an X-linked recessive inborn error of glycosphingolipid metabolism caused by a deficiency of alpha-galactosidase A. …”
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A Machine Learning-Based Real-Time Remaining Useful Life Estimation and Fair Pricing Strategy for Electric Vehicle Battery Swapping Stations by Seyit Alperen Celtek, Seda Kul, A. Ozgur Polat, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…The results suggest that XGBoost provides the most suitable balance between accuracy and efficiency, making it an effective solution for real-world applications. Comparative analysis shows that the XGBoost model outperforms the second-best method (Random Forest) with a lower error (3.50 vs 3.79) while maintaining competitive computational efficiency (9.75 vs 8.52 seconds) and memory usage (2.12 vs 2.32 MB) when solving a typical numerical case study problem. …”
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Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

“…Online learning has become increasingly prevalent in real-world applications, where data streams often comprise heterogeneous feature types—both nominal and numerical—and labels may not arrive synchronously with features. …”
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Control of multi-level quadratic DC-DC boost converter for photovoltaic systems using type-2 fuzzy logic technique-based MPPT approaches by Souheyb Mohammed Belhadj, Bouziane Meliani, Habib Benbouhenni, Sarra Zaidi, Z.M.S. Elbarbary, Mohammed M. Alammer

“…High-gain DC-DC converters like the TLQDC-DCBC are beneficial in PV applications as they boost low PV voltages to higher levels, thereby reducing power losses and improving overall efficiency. …”
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Fully Wireless Implantable Device Capable of Multichannel Neural Spike Recording and Stimulation for Long-Term Freely Moving Rodent Study by Minh Duc Hoang, Wonok Kang, Matthew Koh, Sung-Min Park

“…Successful closed-loop seizure detection based on neural activity recording and suppression through an acute status epilepticus model highlight the potential of this device in chronic disease management applications.…”
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Sugarcane acreage estimation using Sentinel-2A satellite data and time series approach by Yogesh Garde, Swaroop D. B, Vipul Shinde, Sagar Kolekar, V.S. Thorat, Jay Delvadiya, Alok Shrivastava

“…The prospective of Sentinel-2A includes a wide range of applications in agriculture. Current study explored a remote sensing-based approach for estimating sugarcane area using Sentinel 2A in Navsari district, Gujarat. …”
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A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale by Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

“…Our developed smart model achieved promising results in terms of crop-yield prediction, with a root mean squared error (RMSE) of 1.72, outperforming the baseline models. …”
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A neural networks technique for analysis of MHD nano-fluid flow over a rotating disk with heat generation/absorption by Yousef Jawarneh, Humaira Yasmin, Wajid Ullah Jan, Ajed Akbar, M. Mossa Al-Sawalha

“…The NNB-LMS technique has various applications such as disease diagnosis, robotic control systems, ecosystem evaluation, etc. …”
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The Time Difference of Arrival Estimation Method Utilizing an Inexact Reconstruction Within the Framework of Compressed Sensing by Shanhe Wang, Yu Xiang, Yuanyuan Gao, Yu Hua, Changjiang Huang, Xian Zhao

“…The time difference of arrival (TDOA) estimation plays a crucial role in emitter localization and time synchronization applications. When time among multiple sensors is synchronized, the TDOAs between the sensors and the emitter can be measured to achieve hyperbolic positioning of the emitter. …”
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Velocity-Constraint Kalman Filtering for Enhanced Bubble Tracking in Motion-Compensated Ultrasound Localization Microscopy by Yifei Zhu, Lingyin Jiang, Qi Zhang, Jun Yin, Bingze Du, Guofeng Zhang, Haijun Zhang, Bo Ding, Han Lin, Honghui Xue, Xiasheng Guo, Xiao-Yang Zhang, Jing-Ning Zhu, Dong Zhang, Juan Tu, Ning Gu

“…The results indicated that this advanced vc-Kalman method substantially boosted both the robustness and accuracy of ULM imaging, thereby opening more opportunities for clinical applications of super-resolution ULM technology.…”
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Dynamic reconstruction of electroencephalogram data using RBF neural networks by Xuan Wang, Congcong Du, Xianjin Ke, Jian Zhang, Zheng Zheng, Yayan Yue, Ming Yu

“…The proposed method offers computationally efficient and interpretable approach for EEG analysis with potential applications in neurological diagnosis and cognitive research.…”
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Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review by Sulwan AlGain, Alexandre R. Marra, Takaaki Kobayashi, Pedro S. Marra, Patricia Deffune Celeghini, Mariana Kim Hsieh, Mohammed Abdu Shatari, Samiyah Althagafi, Maria Alayed, Jamila I Ranavaya, Nicole A. Boodhoo, Nicholas O. Meade, Daniel Fu, Mindy Marie Sampson, Guillermo Rodriguez-Nava, Alex N. Zimmet, David Ha, Mohammed Alsuhaibani, Boglarka S. Huddleston, Jorge L. Salinas

“…Six studies focused on large language models to guide antimicrobial therapy; they had higher prescribing error rates, patient safety risks, and needed precise prompts to ensure accurate responses. …”
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Modeling functional connectivity changes during an auditory language task using line graph neural networks by Stein Acker, Jinqing Liang, Ninet Sinaii, Kristen Wingert, Atsuko Kurosu, Sunder Rajan, Sara Inati, William H. Theodore, Nadia Biassou, Nadia Biassou

“…Our findings from the HCP dataset indicated that line GNNs achieved lower mean squared error compared to traditional GNNs, with the line GraphSAGE model outperforming the traditional GraphSAGE by 18% (p &lt; 0.0001). …”
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A Comparative Study of Indoor Accuracies Between SLAM and Static Scanners by Anna Chrbolková, Martin Štroner, Rudolf Urban, Ondřej Michal, Tomáš Křemen, Jaroslav Braun

“…Accuracy analysis included systematic and random error assessment, axis-specific displacement evaluation, and profile-based local accuracy measurements. …”
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Enhanced U-Net for Underwater Laser Range-Gated Image Restoration: Boosting Underwater Target Recognition by Peng Liu, Shuaibao Chen, Wei He, Jue Wang, Liangpei Chen, Yuguang Tan, Dong Luo, Wei Chen, Guohua Jiao

“…Through comprehensive qualitative and quantitative evaluations, underwater target detection experiments, and real-world oceanic validations, our method demonstrates significant potential for advancing maritime safety and related applications.…”
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Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids by Cristian Rojas, Doménica Muñoz, Ivanna Cordero, Belén Tenesaca, Davide Ballabio

“…Alkaloids are naturally occurring metabolites with a wide variety of pharmacological activities and applications in science, particularly in medicinal chemistry as anti-inflammatory drugs. …”
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A comparative study on trajectory tracking control methods for automated vehicles by Dequan Zeng, Shicong Pan, Yinquan Yu, Yiming Hu, Jinwen Yang, Peizhi Zhang, Lu Xiong, Giuseppe Carbone, Letian Gao

“…Finally, a lateral control method based on nonlinear integral sliding mode control (NISMC) is developed, which realizes zero steady-state error by substituting saturation function for symbolic function and introducing integral action. …”
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Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets by Seongho Bak, Sowon Choi, Donguk Yang, Doyoon Kim, Heeseon Rho, Kyoobin Lee

“…It reduces the mean absolute percentage error by up to 38.8% compared with models trained solely on the target data. …”
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Investigation of mechanical properties and microstructural characteristics of rice husk ash-based geopolymer mortar as patch repair by Pinta Astuti, Muhammad Sakti Isnaini, Devi Sasmita, Adhitya Yoga Purnama, Asiya Nurhasanah Habirun, Anisa Zulkarnain, Angga Jordi Nouvaldi, Fanny Monika

“…This study explored the use of rice husk ash and alkali activators (NaOH/Na2SiO3), with different activator percentages (40%, 45%, and 50%), to evaluate their mechanical properties and potential applications as patch repair materials. This research involved formulating an optimal mix design through trial and error in a laboratory setting, followed by curing at 70 °C and testing at room temperature. …”
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