A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

“…Timely intervention and efficient control of the disease prove to be possible through early diagnosis. …”
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Towards a Traceable Calibration of Medium Voltage Transformers up to 150 kHz by Agazar Mohamed, Elg Alf-Peter, Ramírez Angel, Iodice Claudio, Giordano Domenico, Hällström Jari, Rovira Jorge, Luiso Mario, Letizia Palma Sara, Nieminen Tatu

“…A key challenge is the ability to measure a fundamental voltage as high as 50 kV while superimposing harmonics with amplitudes as low as 5 V in the 9 kHz to 150 kHz range. …”
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The Role of the Operating Room Manager According to Operating Room Directors: a Qualitative Content Analysis Study by Bernardino Tomei, Caterina Cicala, Alessandro Spano, Antonio Petruzzo

“…In healthcare system management, managing operating rooms, which are characterized by a significant production focus and a correspondent high level of complexity, is one of the most current issues, to implement more efficient models, based on a balanced use of resources. …”
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Harnessing silica nanoparticles grafted with ascorbic acid to alleviate oxidative stress and impaired brain activity in rats by Essia Hamdi, Slah Hidouri, Ana-Belén Muniz-Gonzalez, Marwa Kechnebbou, Salem Amara

“…The SiO2-NPs@AA were synthesized and characterized, showing efficient functionalization with ascorbic acid. The in-vitro, antioxidant assays revealed that SiO2-NPs@AA exhibited significant radical scavenging activity (DPPH and hydroxyl radicals) and high iron-chelating ability with enhanced stability compared to free ascorbic acid. …”
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Immunoinformatics-Based development of a Multi-Epitope vaccine candidate targeting coinfection by Klebsiella pneumoniae and Acinetobacter baumannii by Gul Afshan, Namrah Yaseen, Syed H Ali, Asad U. Khan

“…Among these, ESKAPE pathogens such as Acinetobacter baumannii and Klebsiella pneumoniae are particularly concerning due to their ability to cause severe co-infections with high resistance profiles. …”
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Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting. by Nicole A Doria-Rose, Han R Altae-Tran, Ryan S Roark, Stephen D Schmidt, Matthew S Sutton, Mark K Louder, Gwo-Yu Chuang, Robert T Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S Abdool Karim, James M Binley, Mark Connors, Barton F Haynes, Malcolm A Martin, David C Montefiori, Lynn Morris, Julie Overbaugh, Peter D Kwong, John R Mascola, Ivelin S Georgiev

“…Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. …”
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Thermo-physical properties evaluation of commercially available phase change material and engine oil by Prabhakar Bhandari, Nitish Yadav, Diwakar Padalia, Lalit Ranakoti, Tabish Alam, Md Irfanul Haque Siddiqui, Intesaaf Ashraf

“…Phase Change Materials (PCMs) efficiently store and release latent heat during phase transitions, with Solid-Liquid PCMs being widely used in industries such as renewable energy and battery thermal management due to their ability to maintain a nearly constant temperature. …”
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MRDDA: a multi-relational graph neural network for drug–disease association prediction by Congzhou Chen, Yaozheng Zhou, Yinghong Li, Jin Xu, Demin Li, Lingfeng Wang

“…Conclusion MRDDA offers an innovative framework for drug repositioning by effectively modeling and predicting drug-disease associations through advanced graph neural network techniques. The model’s ability to integrate multi-relational data with greater accuracy paves the way for more efficient identification of potential therapeutic uses for existing drugs, ultimately contributing to the acceleration of drug development and reduced costs in the pharmaceutical industry.…”
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A staged deep learning approach to spatial refinement in 3D temporal atmospheric transport by M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers

“…To address this challenge, this work introduces the Dual-Stage Temporal Three-dimensional UNet Super-resolution (DST3D-UNet-SR) model, a highly efficient deep learning model for plume dispersion predictions. …”
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An intelligent non-destructive method to identify the quality of self-compacting concrete based on convolutional neural networks via image recognition by Zhong Xiao, Zixuan Liu, Xuying Guo, Jun Liu

“…The R2 of the proposed optimal CNN model can achieve 0.9987 with superior accuracy and strong generalization ability. It can provide a convenient and cheap method for the project management departments to achieve the intelligent, non-destructive and efficient supervision of concrete quality inspection.…”
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Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture by Omar Garcia-Palencia, Justin Fernandez, Vickie Shim, Nicola Kirilov Kasabov, Alan Wang, the Alzheimer’s Disease Neuroimaging Initiative

“…SNNs use discrete spikes for event-driven communication, making them energy-efficient and well suited for the real-time processing of dynamic brain data. …”
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Implementation for Lightweight Deep Learning for Anomaly Detection and Denoising on Gravitational Waves by R. K. Mohith Niranjen, C. Yogesh, Anirudh Vinodh, Tharun Sureshkumar, S. Vatchala

“…With this in view, this study proposes a new, efficient deep-learning architecture designed to process gravitational wave signals. …”
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Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis by Helong Yu, Kang Yuan, Wenshu Li, Nannan Zhao, Weibin Chen, Changcheng Huang, Huiling Chen, Mingjing Wang

“…An efficient intelligent fault diagnosis model was proposed in this paper to timely and accurately offer a dependable basis for identifying the rolling bearing condition in the actual production application. …”
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Using a deep learning neural network to predict flight path by Oleksandr Bezsonov, Serhii Liashenko, Oleg Rudenko, Sofiia Rutska, Kateryna Vashchenko

“…This study demonstrated the effectiveness of the proposed approach by demonstrating its ability to enhance the accuracy of UAV trajectory forecasting.…”
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Dynamic Mobile Network Slicing Through Vehicular Traffic Analysis by Alvaro Gabilondo, Zaloa Fernandez, Angel Martin, Mikel Zorrilla, Pablo Angueira, Jon montalban

“…In the context of autonomous driving and smart mobility, the ability to dynamically prioritize and manage sensor data—ranging from high-bandwidth video streams to low-latency text and binary position and coordination messages—plays a pivotal role in ensuring safe and efficient operation. …”
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Chemical Composition-Driven Machine Learning Models for Predicting Ionic Conductivity in Lithium-Containing Oxides by Yudai IWAMIZU, Kota SUZUKI, Michiyo KAMIYA, Naoki MATSUI, Kuniharu NOMOTO, Satoshi HORI, Masaaki HIRAYAMA, Ryoji KANNO

“…The established models are expected to facilitate efficient material discovery for the development of all-solid-state lithium batteries.…”
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Rice Husk as a Sustainable Amendment for Heavy Metal Immobilization in Contaminated Soils: A Pathway to Environmental Remediation by Riccardo Cecire, Aleandro Diana, Agnese Giacomino, Ornella Abollino, Paolo Inaudi, Laura Favilli, Stefano Bertinetti, Simone Cavalera, Luisella Celi, Mery Malandrino

“…The growth of both plants was more efficient in the presence of rice husk due to its ability to reduce the mobility of heavy metals in the soil. …”
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Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management by Ying Deng, Yue Zhang, Daiwei Pan, Simon X. Yang, Bahram Gharabaghi

“…This review examines the integration of remote sensing technologies and machine learning models for efficient monitoring and management of lake water quality. …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…Abstract Effective light-based cancer treatments, such as photodynamic therapy (PDT) and photoactivated chemotherapy (PACT), rely on compounds that are activated by light efficiently, and absorb within the therapeutic window (600–850 nm). …”
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Catalytic graphitization of porous graphitic carbon derived from needle coke as anode materials for lithium-ion batteries by Xiaoyu Zhang, Shaoqiang Guo, Huifang Ye, Fangfang Wei

“…The impacts of heating temperatures and K _2 FeO _4 solution concentrations on the microstructure, morphology, and electrochemical lithium storage ability were thoroughly investigated. The as-synthesised PGC materials have a high specific surface area of 260.55 m ^2 g ^−1 and a good three-dimensional porous structure. …”
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