Blood biomarker discovery for autism spectrum disorder: A proteomic analysis. by Laura Hewitson, Jeremy A Mathews, Morgan Devlin, Claire Schutte, Jeon Lee, Dwight C German

“…Given the lack of specific pharmacological therapy for ASD and the clinical heterogeneity of the disorder, current biomarker research efforts are geared mainly toward identifying markers for determining ASD risk or for assisting with a diagnosis. …”
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From 3D reality-based models to volumes for structural analysis: some critical issues by Sara Gonizzi Barsanti, Juergen Juergen Frick

“…<p>Structural health monitoring of Cultural Heritage (CH) is a key topic in research, as well as damage identification and failure assessment. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…Results from our study will aid researchers and industry practitioners in making decisions on the best deep-learning model to use while detecting SCD.…”
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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…This paper reviews the latest research, methodologies, and applications of 3D point cloud technology in SHM, based on 223 studies published from 2010 to 2024. …”
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QSAR, docking and pharmacokinetic studies of 2,4-diphenyl indenol [1,2-B] pyridinol derivatives targeting breast cancer receptors by Auwal Isa, Adamu Uzairu, umar Umar, Muhammad Tukur Ibrahim, Abdullahi Umar

“…A robust quantitative structure-activity relationship (QSAR) model, developed using genetic algorithms and multilinear regression analysis, predicts chemical activity (pGI50) against breast cancer receptors. …”
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Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning by Joao P. A. Dantas, Marcos R. O. A. Maximo, Takashi Yoneyama

“…By applying imitation learning techniques and comparing three algorithms &#x2013; Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) &#x2013; the research trains models to predict aircraft control inputs through sequences of state-action pairs. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

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Radiomics capabilities in the interpretation of ultrasound and CT data in patients with chronic kidney disease: A review by Alexandra V. Proskura, Khalil M. Ismailov, Alexander G. Smoleevskiy, Amina I. Salpagarova, Irina N. Bobkova, Andrei M. Shestiuk

“…The conclusion indicates the need for further research to standardize and expand the use of radiomic methods in clinical practice to improve the diagnosis accuracy and prognostic assessment of patients with CKD.…”
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FDTooth: Intraoral Photographs and CBCT Images for Fenestration and Dehiscence Detection by Keyuan Liu, Marawan Elbatel, Guang Chu, Zhiyi Shan, Fung Hou Kumoi Mineaki Howard Sum, Kuo Feng Hung, Chengfei Zhang, Xiaomeng Li, Yanqi Yang

“…Currently, there is no public dataset that combines intraoral photographs and corresponding CBCT images; this limits the development of deep learning algorithms for the automated detection of FD and other potential diseases. …”
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PREGNANCY AND CHILDBIRTH IN PATIENTS WITH RENAL ALLOGRAFT (CASE REPORT) by R. R. Temirbulatov, V. F. Bezhenar, O. N. Reznik, A. N. Anan’ev

“…To identify the most common complications in pregnancy in women with a transplanted kidney, to review the algorithms for maintaining this category of patientsMaterial and methods. …”
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Mathematical modeling of fastening conditions in piggyback transport: ensuring safety and stability across different transport modes by Ziyoda Mukhamedova, Diyor Boboyev, Shukhrat Saidivaliev, Rustam Abdullaev, Jamshid Kobulov, Sardorbek Akhmedov, Sherzod Fayzibayev

“…Recommendations include further research into advanced fastening materials and the validation of theoretical models through field studies.…”
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Automatic detection of doors and windows using point clouds in the context of as-built BIM by S. Boudarbala, S. Boudarbala, R. Hajji, C. Gourguechon, H. Macher, T. Landes

“…The automation of 3D modelling from point clouds has emerged as a highly intriguing research area, offering significant potential value in the context of scan-to-BIM (Building Information Modelling) process. 3D modelling from point clouds is often performed manually, which is time-consuming and prone to errors. …”
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DERMA-OCTA: A Comprehensive Dataset and Preprocessing Pipeline for Dermatological OCTA Vessel Segmentation by Giulia Rotunno, Massimo Salvi, Julia Deinsberger, Lisa Krainz, Benedikt Weber, Christoph Sinz, Harald Kittler, Leopold Schmetterer, Wolfgang Drexler, Mengyang Liu, Kristen M. Meiburger

“…By providing high-resolution, annotated OCTA data across a range of skin pathologies, this dataset offers a valuable resource for training deep learning models, benchmarking segmentation algorithms, and facilitating research into non-invasive skin imaging. …”
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A Review of Robot Fleet Management by Paulo H. C. Morais, Kelen C. T. Vivaldini, Edilson R. R. Kato, Roberto S. Inoue

“…Challenges, such as dynamic interaction management and scalability, were examined, emphasizing the practical validation of algorithms and the integration of heterogeneous fleets. …”
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Natural Defense Mechanisms of the Human Brain against Chronic Ischemia by A. V. Sergeev, S. S. Stepanov, V. A. Akulinin, A. V. Mytsik

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Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models by Ibrahim Abdulwahab, Sulaiman Haruna Sulaiman, Umar Musa, Ibrahim Abdullahi Shehu, Abdullahi Kakumi Musa, Ismaila Mahmud, Mohammed Musa, Abdullahi Abubakar, Abdulrahman Olaniyan

“… The research is set to predict solar irradiation using various machine learning algorithms. …”
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Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO by Emil Bjornson, Ferdi Kara, Nikolaos Kolomvakis, Alva Kosasih, Parisa Ramezani, Murat Babek Salman

“…Finally, we identify open research and standardization challenges that must be overcome to efficiently use gigantic MIMO dimensions in 6G from hardware, cost, and algorithmic perspectives.…”
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Frequent use of online medical records: analysis of influence factors based on structural equation modeling by Wei Wang, Lei Qin, Lei Qin, Yang Chen, Yinzhi Wang, Linglong Ye, Ruojia Wang, Yingqiu Zhu

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Unraveling the co-morbidity between COVID-19 and neurodegenerative diseases through multi-scale graph analysis: A systematic investigation of biological databases and text mining by Negin Sadat Babaiha, Stefan Geissler, Vincent Nibart, Heval Atas Güvenilir, Vinay Srinivas Bharadhwaj, Alpha Tom Kodamullil, Juergen Klein, Marc Jacobs, Martin Hofmann-Apitius

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Optimization and Integration Strategies for Hybrid Renewable Energy Systems in the Brazilian Power Grid: A Systematic Review by Dalton F. Guedes Filho, Rodrigo L. Miranda, Lucas A. Correia, Lucas do E. S. Fernandes, Ricardo C. Medrado, Marcio De C. Filho, Jose B. M. Filho, Manoel H. N. Marinho, Erick G. Sperandio Nascimento

“…We analyze optimization techniques, including metaheuristic algorithms and simulation tools such as HOMER, in addition to regulatory and operational challenges. …”
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