fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience by Meryem A. Yücel, Robert Luke, Rickson C. Mesquita, Alexander von Lühmann, David M. A. Mehler, Michael Lührs, Jessica Gemignani, Androu Abdalmalak, Franziska Albrecht, Iara de Almeida Ivo, Christina Artemenko, Kira Ashton, Paweł Augustynowicz, Aahana Bajracharya, Elise Bannier, Beatrix Barth, Laurie Bayet, Jacqueline Behrendt, Hadi Borj Khani, Lenaic Borot, Jordan A. Borrell, Sabrina Brigadoi, Kolby Brink, Chiara Bulgarelli, Emmanuel Caruyer, Hsin-Chin Chen, Christopher Copeland, Isabelle Corouge, Simone Cutini, Renata Di Lorenzo, Thomas Dresler, Adam T. Eggebrecht, Ann-Christine Ehlis, Sinem B. Erdoğan, Danielle Evenblij, Talukdar Raian Ferdous, Victoria Fracalossi, Erika Franzén, Anne Gallagher, Christian Gerloff, Judit Gervain, Noy Goldhamer, Louisa K. Gossé, Ségolène M. R. Guérin, Edgar Guevara, SM Hadi Hosseini, Hamish Innes-Brown, Isabell Int-Veen, Sagi Jaffe-Dax, Nolwenn Jégou, Hiroshi Kawaguchi, Caroline Kelsey, Michaela Kent, Roman Kessler, Nadeen Kherbawy, Franziska Klein, Nofar Kochavi, Matthew Kolisnyk, Yogev Koren, Agnes Kroczek, Alexander Kvist, Chen-Hao Paul Lin, Andreas Löw, Siying Luan, Darren Mao, Giovani G. Martins, Eike Middell, Samuel Montero-Hernandez, Murat Can Mutlu, Sergio L. Novi, Natacha Paquette, Ishara Paranawithana, Yisrael Parmet, Jonathan E. Peelle, Ke Peng, Tommy Peng, João Pereira, Paola Pinti, Luca Pollonini, Ali Rahimpour Jounghani, Vanessa Reindl, Wiebke Ringels, Betti Schopp, Alina Schulte, Martin Schulte-Rüther, Ari Segel, Tirdad Seifi Ala, Maureen J. Shader, Hadas Shavit, Arefeh Sherafati, Mojtaba Soltanlou, Bettina Sorger, Emma Speh, Kevin D. Stubbs, Katharina Stute, Eileen F. Sullivan, Sungho Tak, Zeus Tipado, Julie Tremblay, Homa Vahidi, Maaike Van Eeckhoutte, Phetsamone Vannasing, Gregoire Vergotte, Marion A. Vincent, Eileen Weiss, Dalin Yang, Gülnaz Yükselen, Dariusz Zapała, Vit Zemanek

“…Abstract As data analysis pipelines grow more complex in brain imaging research, understanding how methodological choices affect results is essential for ensuring reproducibility and transparency. …”
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Investigation of VOC Series Collected in a Refinery and Their Classification Based on Statistical Features by Alina Bărbulescu, Sebastian-Barbu Barbeş, Lucica Barbeş, Cristian Ștefan Dumitriu

“…In the context of the increased pollution from different sources and its significant negative effect on the population’s health and environment, the article presents a comprehensive analysis of the data series formed by the concentrations of the volatile organic compounds (VOCs) collected in three zones—storage areas in the reservoir park—of a refinery complex in Romania during the maintenance period. …”
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The Chukchi Text in the Cycle of Poems by Gennady Oyar “Ydvel Tulsavysh”: Other/Own in the Author’s Worldview by Raisiya A. Kudryavtseva

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Research on Micro-Vibration Analysis of Segmented Telescope Based on Opto-Mechanical Integration by Kangmin Wen, Lingjie Wang, Xuefeng Zeng, Yang Liu, Wenyan Li, Lianqiang Wang, Wei Sha, Di Zhou

“…Aiming at the inherent nature and complexity of the influence of in-orbit micro-vibration in the imaging quality of segmented telescopes, a dynamic full-link opto-mechanical integration analysis method is proposed. …”
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Influence of MicroCT Resolution and Segmentation Techniques on Porosity Analysis in Carbonate Rocks by Olga M. O. Araújo, Alessandra Silveira Machado, Cíntia Ferreira, Davi F. Oliveira, Ricardo Tadeu Lopes

“…  MicroCT images can be used to perform 3D visualization and quantitative analysis in a nondestructive manner. …”
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UDEMY PLATFORM NON-FORMAL EDUCATION: ANALYSIS OF 3D-GRAPHICS COURSES by Volodymyr Hr. Shamonia, Mariia M. Ostroha, Ihor O. Biesiedin

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Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM by Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle

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Progress and direction of 3D seismic exploration in Qintong Sag of Subei Basin by LIU Ming,XUE Ye,LIU Tiantian,ZHAO Sucheng,LAN Jiada,SHI Mengjun,YANG Fan

“…Qintong Sag of Subei Basin has high abundance of oil and gas resources and great exploration potential, but the geological target has the complex characteristics of “thin, broken, small, scattered and hidden”. …”
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Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China by Wei Sun, Jie Shan, Zhiming Wang, Lei Wang, Dianmei Lu, Zhifeng Jin, Kun Yu

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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…The software tools included convolutional neural networks for image analysis, recurrent neural networks for time sequence analysis, and deep neural networks for complex classification, modeling, and verification tasks. …”
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Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station by Shengyang Li, Kang Liu, Han Wang, Rong Yang, Xuzhi Li, Yeqing Sun, Runtao Zhong, Wei Wang, Yan Li, Yuanjie Sun, Gaohong Wang

“…Abstract Non-contact behavioral study through intelligent image analysis is becoming increasingly vital in animal neuroscience and ethology. …”
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Preoperative arterial and venous CT radiomics for survival prediction after pylorus preserving pancreatoduodenectomy in pancreatic head cancer by Annika Rastkhiz, Ali Rastkhiz, Felicia Erb, Maximilian Schulze-Hagen, Florian Tom Ulmer, Ulf Peter Neumann, Gregory van der Kroft, Christiane Katharina Kuhl, Daniel Truhn, Teresa Lemainque

“…No identifying information or images are included in this manuscript. Survival analysis revealed no significant differences when using arterial (p = 0.161) or venous (p = 0.668) phase features alone. …”
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Analysis of Relevance and Appeal of Visual Presentation of Meat Products Generated Using Artificial Intelligence by Lucija Brina Arvaj, Tatjana Šubic, Jure Ahtik

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Streamlined Quantification of Microglial Morphology in Mouse Brains Using 3D Immunofluorescence Analysis by Maria de Donato, Armin Kouchaeknejad, Andreu de Donato, Gunter Van Der Walt, Emma Puighermanal

“…This user-friendly workflow, comprising standard immunofluorescence staining, built-in functions of standard microscopy image analysis software, and custom Python scripts for data analysis, allows the measurement of important morphological parameters such as soma and dendrite volumes and branching levels for users of all skill levels. …”
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Comparative analysis of accuracy and time of calculation of wound surface area using mobile applications by Nikolai O. Mikhailov, Aleksandr A. Glukhov, Aleksandr A. Andreev, Anastasiya Yu. Laptieva, Oleg V. Sudakov, Vladimir Yu. Ivashkov, Aleksandr S. Denisenko

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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…Feature selection and classification efficiency and accuracy are key to improving decision-making regarding medical data analysis. Since the medical datasets are large and complex, they give rise to certain problematic issues such as computational complexity, limited memory space, and a lesser number of correct classifications. …”
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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…While machine learning methods offer certain advantages, they still face challenges in complex data scenarios. This study focuses on the application of Federated Learning in insider threat detection. …”
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Is virtual reality enhancing dental anatomy education? A systematic review and meta-analysis by Katarina Bevizova, Hisham El Falougy, Andrej Thurzo, Stefan Harsanyi

“…Results Out of 178 records screened, seven studies were included in the meta-analysis and eight in the personal evaluation analysis. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…Due to factors such as backlighting, traditional image segmentation-based methods for detecting disease spots struggle to accurately identify the boundaries of diseased areas against complex backgrounds. …”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…These results highlight the effectiveness of incorporating region-specific dilation strategies, enhancing the model’s ability to detect diverse and challenging fault patterns in complex thermal imagery. Beyond quantitative performance, qualitative segmentation analysis confirms that the U-Net-ASPP_Hybrid model offers superior fault localization and adaptability to real-world PV inspections. …”
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