NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…By bridging artificial intelligence-based classification with human-intuitive decision-making, this approach holds promise for clinical applications. Future work will focus on real-time deployment in healthcare settings to support epilepsy diagnosis and monitoring. …”
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Evaluation of a biomarker for amyotrophic lateral sclerosis derived from a hypomethylated DNA signature of human motor neurons by Calum Harvey, Alicja Nowak, Sai Zhang, Tobias Moll, Annika K Weimer, Aina Mogas Barcons, Cleide Dos Santos Souza, Laura Ferraiuolo, Kevin Kenna, Noah Zaitlen, Christa Caggiano, Pamela J Shaw, Michael P Snyder, Jonathan Mill, Eilis Hannon, Johnathan Cooper-Knock

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Numerical analysis of the thermal and electrical performance of concentrated photovoltaic systems integrated with multiple phase change materials by Atef Chibani, Slimane Merouani, Riad Badji, Farhan Lafta Rashid, Mohamed Kezzar, Sahar Ahmed Idris, Mohamed Rafik Sari, B. Rushi Kumar, Sunitha Nagarathnam

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Modeling of Ionization and Recombination Processes in Plasma with Arbitrary Non-Maxwellian Electron Distribution by Chengcai Shen, Xiaocan Li, Yuan-Kuen Ko, John C. Raymond, Fan Guo, Vanessa Polito, Viviane Pierrard

“…For standard κ -distributions, the calculated ionization and recombination rate coefficients show comparable accuracy to other public packages. Additionally, our methods support arbitrary electron distributions and can be easily extended to updated atomic databases. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The experimental results show that the proposed method can complete the corn point cloud more effectively, using a small model to help estimate the pose and dimensions of corn accurately. This work supports the precise phenotypic analysis of corn and similar crops, such as citrus and tomatoes, and promotes the development of smart agricultural technology.…”
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Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment by Dhanadeepika B., Vanithasri M., Chakravarthi M.

“…This failure is primarily caused due to an increase in loads or loss of transmission lines or generators in modern restructured power networks. This work introduces a CM approach using Deep Convolution Neural Network (DCNN) for minimizing congestion and supporting Independent System Operators (ISOs). …”
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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

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Semantic analysis of social media messages of patients with neovascular age-related macular degeneration and diabetic macular edema by open Internet sources — a study of patients'... by V. V. Neroev, O. V. Zaytseva, A. Yu. Berdieva, Z. M. Gabdullina, M. N. Pudikov, A. A. Leonova, V. F. Khoroshevsky

“…In these messages, patients and their careers (mainly, family members) openly and in an ‘uncensored’ way share their experience in diagnostics and treatment while looking for a second opinion or supporting each other. They use general social networks as well as specific disease-related forums or Q&A portals. …”
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Comprehensive performance and optimization of micro textured slipper pair of axial piston pumps by Ping Xu, Jing Luo, Yinghua Yu, Jiaxing Shen, Wenli Li

“…A texture design that integrates an elliptical opening with an elliptical offset parabolic pit body situated at the innermost two-ring support band of the slipper is recommended. Compared with the original prototype, this optimized design yields a 19.69% increase in the bearing pressure and a 21.08% reduction in the friction coefficient, coupled with a 14.20% decrease in the average temperature and a 14.03% reduction in oil film leakage. …”
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Effectiveness of interventions for improving educational outcomes for people with disabilities in low‐ and middle‐income countries: A systematic review by Xanthe Hunt, Ashrita Saran, Howard White, Hannah Kuper

“…The category of interventions most represented across studies was ‘Educational attainment support’, for instance, a reading comprehension intervention that combined strategy instruction (graphic organisers, visual displays, mnemonic illustrations, computer exercises, predicting, inference, text structure awareness, main idea identification, summarisation, and questioning) for children with dyslexia. …”
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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. …”
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The Effect of Gamified Physical Activities on the Quality of Students' Leisure Time (Case Study: Female Secondary School Students in Ardabil City) by aylar sefidgar, Hamed Kheirollahi Meidani, Mehrdad Moharramzadeh

“…By creating spaces for social interaction and support, this approach can help reduce feelings of isolation and increase a sense of belonging. …”
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Social mixing patterns in the UK following the relaxation of COVID-19 pandemic restrictions, July–August 2020: a cross-sectional online survey by Chris Jewell, Jonathan M Read, Jessica RE Bridgen

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Overview of research on trusted attestation technology of cloud virtualization platform by Bibo TU, Jie CHENG, Haojun XIA, Kun ZHANG, Ruina SUN

“…With the rapid development of cloud computing， the security issues of cloud platforms have also attracted much attention.Trusted computing is an essential supporting technology in the cloud computing security system.Trusted attestation is an important feature in trusted computing.The use of trusted attestation technology verifies whether the cloud virtualization platform is trustworthy， thereby providing a foundation for ensuring the security of the cloud platform.Now based on the definition of trusted attestation， the research progress of key technologies such as the root of trust virtualization， platform identity authentication， platform status certification， and trusted attestation framework for virtual machines were systematically sorted out， typical schemes were analyzed and compared.Furthermore， the limitations of existing work were discussed.Finally， the future research trend of this area were pointed out.…”
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A novel and optimized design of D-latch and D flip-flop for QCA-based digital systems by Pezhman Kiani Vosta, Mohammad Gholami

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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…Four machine learning models were developed: random forest (RF), support vector machine (SVM), decision tree (DT), and k-nearest neighbor (KNN). …”
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Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study by David RJ Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian SD Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn

“…As a result, digital pathology could potentially lead to safer more efficient working. In order to use digital pathology in practice, we need to know pathologists produce equivalent reports as compared to light microscopy. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…Businesses need a dynamic tool to support their digital innovation management efforts. …”
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PhaPl: software to plot and research phase portraits automatically by A. A. Cherepanov

“…The software supports linear and nonlinear autonomous systems of 2 differential equations. …”
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An NLP-driven face recognition system to improve Alzheimer’s patient engagement and care [MEMORY LANE] by Zishan Ahmad, Vengadeswaran Shanmugasundaram

“…Memory Lane works in four phases: (1) An offline speech recognition system. (2) A transformer-based intent classification model. (3) A CNN architecture that generates face embedding to compare L2 distance with existing stored embeddings for face recognition. (4) A module that retrieves information from MongoDB and uses TTS for communication. …”
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