Directivity enhancement of microstrip antennas for high-resolution brain tumor imaging using characteristic modes theory and the confocal microwave image reconstruction algorithm by Mouad El Moudden, Badiaa Ait Ahmed, Ibtisam Amdaouch, Mohamed Zied Chaari, Juan Ruiz-Alzola, Otman Aghzout

“…The introduction of CMT is pivotal, as it facilitates the identification of resonance frequencies that exhibit exceptional radiation efficiency. …”
Get full text

Machine Learning Introduces Electrophysiology Assessment as the Best Predictor for the Recovery Prognosis of Spinal Cord Injury Patients for Personalized Rehabilitation Approaches by Dionysia Chrysanthakopoulou, Charalampos Matzaroglou, Eftychia Trachani, Constantinos Koutsojannis

“…It enables the creation of predictive models for disease diagnosis, progression prediction, personalized treatment, and improved healthcare efficiency. …”
Get full text

Enhancing knee MRI bone marrow lesion detection with artificial intelligence: An external validation study by Kevin Maarek, Philippine Cordelle, Tom Vesoul, Pascal Zille, Gaspard d'Assignies, Antoine Feydy, Guillaume Herpe

“…Mean age was 46 years with a standard deviation (SD) of 15.8 years and a female/male ratio of 49 %/51 %.An AI algorithm from the AI solution Keros, comprising three orientation-specific 3D-UNet models, was deployed for bone marrow edema segmentation on T2/proton density with fat suppression sequences.The ground truth was set by expert musculoskeletal radiologists.The purpose was to externally validate the AI algorithm and compare the performance and speed of bone marrow edema identification by less experienced radiologists when using the algorithm versus not using it Results: A total of 184 patients were included. …”
Get full text

A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…Results demonstrate superior performance compared to state-of-the-art techniques, particularly in preserving connectivity, minimizing spurious branches, and achieving consistent one-voxel skeleton width all while maintaining a favorable balance between accuracy and computational efficiency. The algorithm enables detailed morphological and topological analysis of renal vascular trees, supporting the identification of intra- and inter-tree structural dependencies. …”
Get full text

One-pass arc welding under thin slag layer of thick 09G2S steel plate structures by Yu. V. Poletaev, V. Yu. Poletaev

“…Besides, the distribution pattern and identification of the second phases of nonmetallics; welded samples and samples modeling the HAZ metal for the notch sensitivity; structure stability and welding cracking resistance were studied through the replica technique using the EMV-100LM electron microscope.Research Results. …”
Get full text

Power capacity enhancement of hydropower plant through the penetration of solar and wind energy by Ahmad Shah Irshad, Ahmad Shah Amin, Amir Mohammad Ilham, M.H. Elkholy, Said Elias, Tomonobu Senjyu

“…A multi-objective genetic algorithm was employed to optimize this integration, addressing objectives such as maximizing power output, improving energy efficiency, and minimizing environmental impact. This algorithm facilitated the identification of effective strategies for enhancing the performance and capacity of the hybrid renewable energy system. …”
Get full text

Flow simulation algorithm for gas gathering pipelines of natural gas fields by Yuling LYU, Zhenhe JIANG, Xiaowei LI, Jiakai SHI, Huaping CAO

“…Investigating fluid flow dynamics in gas gathering pipelines and predicting liquid loading are crucial for ensuring safe operations and enhancing gas gathering efficiency. MethodsBy integrating production data from a gas field with multiphase flow theory, hydraulic and thermodynamic calculation models were developed for gas gathering pipelines. …”
Get full text

Comparative analysis of adolescent hypertension definitions for predicting early adulthood carotid artery intima-media thickness: Tehran lipid and glucose study by Maryam Barzin, Shirin Yaghoobpoor, Maryam Mahdavi, Behnaz Abiri, Majid Valizadeh, Fereidoun Azizi, Pooneh Dehghan, Farhad Hosseinpanah

“…Carotid intima-media thickness (CIMT), as a substitute for cardiovascular outcomes, enables the early identification of cardiovascular events throughout early adulthood. …”
Get full text

Admixture mapping in lupus identifies multiple functional variants within IFIH1 associated with apoptosis, inflammation, and autoantibody production. by Julio E Molineros, Amit K Maiti, Celi Sun, Loren L Looger, Shizhong Han, Xana Kim-Howard, Stuart Glenn, Adam Adler, Jennifer A Kelly, Timothy B Niewold, Gary S Gilkeson, Elizabeth E Brown, Graciela S Alarcón, Jeffrey C Edberg, Michelle Petri, Rosalind Ramsey-Goldman, John D Reveille, Luis M Vilá, Barry I Freedman, Betty P Tsao, Lindsey A Criswell, Chaim O Jacob, Jason H Moore, Timothy J Vyse, Carl L Langefeld, Joel M Guthridge, Patrick M Gaffney, Kathy L Moser, R Hal Scofield, Marta E Alarcón-Riquelme, BIOLUPUS Network, Scott M Williams, Joan T Merrill, Judith A James, Kenneth M Kaufman, Robert P Kimberly, John B Harley, Swapan K Nath

“…We experimentally validated function of the intronic SNP by DNA electrophoresis, protein identification, and in vitro protein binding assays. DNA carrying the intronic risk allele rs13023380 showed reduced binding efficiency to a cellular protein complex including nucleolin and lupus autoantigen Ku70/80, and showed reduced transcriptional activity in vivo. …”
Get full text

NCT-CXR: Enhancing Pulmonary Abnormality Segmentation on Chest X-Rays Using Improved Coordinate Geometric Transformations by Abu Salam, Pulung Nurtantio Andono, Purwanto, Moch Arief Soeleman, Mohamad Sidiq, Farrikh Alzami, Ika Novita Dewi, Suryanti, Eko Adhi Pangarsa, Daniel Rizky, Budi Setiawan, Damai Santosa, Antonius Gunawan Santoso, Farid Che Ghazali, Eko Supriyanto

“…These findings underscore the importance of clinically constrained augmentation and high-quality annotation in building robust segmentation models. NCT-CXR offers a practical, high-performance solution for integrating deep learning into radiological workflows.…”
Get full text

Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network by Himani Saini, Gopal Singh, Amrinder Kaur, Sunil Saini, Niyaz Ahmad Wani, Vikram Chopra, Zahid Akhtar, Shahid Ahmad Bhat

“…Benchmarking against current models shows consistently higher accuracy, precision, recall, and F-measure values, underscoring the frameworks enhanced capability to safeguard data privacy and accurately assess trust. …”
Get full text

Impacts of early postpartum behavioral patterns on the fertility and milk production of tropical dairy cows by Aqeel Raza, Kumail Abbas, Theerawat Swangchan-Uthai, Henk Hogeveen, Chaidate Inchaisri

“…Integration of sensor-based clustering with routine herd monitoring may support early identification of cows at risk of suboptimal performance, improving reproductive efficiency and milk production in tropical dairy systems.…”
Get full text

АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

“…Conclusions. Modeling the main patterns of changes in the working position of dentists during root canal treatment and analysis of such in the structure of the digital environment according to the data, promotes targeted identification of problematic elements of the workflow in terms of compliance with ergonomic criteria and specifics of their changes, the possible fact of using optically magnifying equipment, work with rotary and manual types of endodontic instruments. …”
Get full text

Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications by Dasheng Wu, Na Liu, Rui Ma, Peilong Wu

“…AI applications were analyzed across three domains: (1) diagnosis, where mobile deep neural networks, convolutional neural network ensemble models, and mixed-scale attention-based models have improved diagnostic accuracy and efficiency; (2) treatment, where machine learning models, such as deep autoencoders combined with functional magnetic resonance imaging, electroencephalography, and clinical data, have enhanced treatment outcome predictions; and (3) management, where AI has facilitated case identification, epidemiological research, health care burden assessment, and risk factor exploration for postherpetic neuralgia and other complications. …”
Get full text

Uncovering potential causal genes for undiagnosed congenital anomalies using an in-house pipeline for trio-based whole-genome sequencing by Jeong-Min Kim, Hye-Won Cho, Dong Mun Shin, Oc-Hee Kim, Jihyun Kim, Hyeji Lee, Gang-Hee Lee, Joon-Yong An, Misun Yang, Heui Seung Jo, Ja-Hyun Jang, Yun Sil Chang, Hyun-Young Park, Mi-Hyun Park

“…Finally, functional validation of six genes including RYR3, NRXN1, FREM2, CSMD1, RARS1, and NOTCH1, revealed various phenotypes in zebrafish models that aligned with those observed in each patient. …”
Get full text

Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery by Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Didier Mutter, MD, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Lee Swanstrom, MD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng

“…Consensus panelists have identified key research areas, including digitizing operating room (OR) activities, improving data streaming through advanced technologies, uniform protocols for handling multimodal data, and integrating AI for efficiency and safety. The roadmap prioritizes standardizing OR data formats, integrating OR data with patient information, ensuring regulatory compliance, standardizing surgical AI models, and securing data transfers in the next generation of wireless networks. …”
Get full text

An opportunity for using artificial intelligence in modern gynecology by Sh. L. Shailieva, D. Kh. Mamchueva, A. P. Vishnevskaya, Kh. Sh. Dzhalaeva, E. G. Ramazanova, Y. R. Kokaeva, Z. M. Eloeva, D. R. Aisanova, A. S. Vinogradova, R. R. Tuko, A. V. Sineva, L. A. Valiullina, A. A. Kutseva

“…Artificial intelligence (AI) is a technology that simulates human brain data processing, its intellectual behavior and critical thinking. Sophisticated AI models can potentially improve patient management by speeding up processes and increasing their accuracy and efficiency at a lower cost of human resources. …”
Get full text

Interventions to reengage people living with HIV who are lost to follow-up from HIV treatment programs: A systematic review and meta-analysis. by Ali Mirzazadeh, Ingrid Eshun-Wilson, Ryan R Thompson, Atousa Bonyani, James G Kahn, Stefan D Baral, Sheree Schwartz, George Rutherford, Elvin H Geng

“…We used random-effect models for meta-analysis and conducted subgroup analyses to explore heterogeneity. …”
Get full text

Quality failures in Energy- saving renovation projects in Northern China by Yuting Qi

“…Namely, previous researches pay little attention to the identification of quality failures and their sources, likelihood, impacts, and causes in building energy renovation projects in Northern China. …”
Get full text

The Circular Kitchen by Bas Jansen

“…Detailed information was primarily available concerning the technical model, while insights into industrial and business models were relatively scarce. …”
Get full text