Applicazione della meccanica della frattura viscoelastica alla previsione della vita di tubi in polibutene by Luca Andena, Marta Rink, Roberto Frassine

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Determination of fracture mechanics parameters on a base of local displacement measurements by Yu. G. Matvienko, V.S. Pisarev, S. I. Eleonsky

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Controlling fatigue crack paths for crack surface marking and growth investigations by S. Barter, P. White, M. Burchill

“…A particular focus of this work is the identification of the possible sources of crack growth retardation and closure in these small cracks. Interpreting these results suggests a possible mechanism for why small fatigue crack growth through this material under variable amplitude loading is faster than predicted from models based on constant amplitude data alone.…”
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Controlling fatigue crack paths for crack surface marking and growth investigations by S. Barter, P. White, M. Burchill

“…A particular focus of this work is the identification of the possible sources of crack growth retardation and closure in these small cracks. Interpreting these results suggests a possible mechanism for why small fatigue crack growth through this material under variable amplitude loading is faster than predicted from models based on constant amplitude data alone.…”
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Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

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Decoding wisdom: Evaluating ChatGPT's accuracy and reproducibility in analyzing orthopantomographic images for third molar assessment by Ana Suárez, Stefania Arena, Alberto Herranz Calzada, Ana Isabel Castillo Varón, Victor Diaz-Flores García, Yolanda Freire

“…The percentage agreement among repeated responses was 82.7 %, indicating high consistency, though Gwet’s coefficient of agreement (60.4 %) suggested only moderate repeatability. While the model correctly identified general features in some cases, it frequently provided incomplete or fabricated information, particularly in complex radiographs involving overlapping structures or underdeveloped roots.These findings highlight ChatGPT-4o’s current limitations in dental radiographic interpretation. …”
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An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in Digital Breast Tomosynthesis images by Andrea Berti, Camilla Scapicchio, Chiara Iacconi, Charlotte Marguerite Lucille Trombadori, Maria Evelina Fantacci, Alessandra Retico, Sara Colantonio

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Deep learning of pretreatment multiphase CT images for predicting response to lenvatinib and immune checkpoint inhibitors in unresectable hepatocellular carcinoma by Nan-Qing Liao, Zhu-Jian Deng, Wei Wei, Jia-Hui Lu, Min-Jun Li, Liang Ma, Qing-Feng Chen, Jian-Hong Zhong

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Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing by Hoang-Anh T. Vo, Sang Nguyen, Ai-Quynh T. Tran, Han Nguyen, Hai Bich Ho, Philip W. Fowler, Timothy M. Walker, Thuy Thi Nguyen

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Multi-scale window transformer for cervical cytopathology image recognition by Jiaxiang Yi, Xiuli Liu, Shenghua Cheng, Li Chen, Shaoqun Zeng

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Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO by Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Jiri Damborsky, Ondrej Slaby, David Bednar

“…Here, we have developed an online user-friendly web server tool PredictONCO that is fully automated and has a low barrier to access. The tool models the structure of the mutant protein in the first step. …”
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Against successive cyclicity: by Yusuke Kubota, Robert Levine

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Full‐Depth Reconstruction of Long‐Term Meridional Overturning Circulation Variability From Satellite‐Measurable Quantities via Machine Learning by Huaiyu Wei, Kaushik Srinivasan, Andrew L. Stewart, Aviv Solodoch, Georgy E. Manucharyan, Andrew McC. Hogg

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Analysis of factors influencing MOOC quality based on I-DEMATEL-ISM method by Liang Zhou, Mingyun Tang, Jian Liu

“…This paper proposes a new method, I-DEMATEL-ISM, which combines intuitionistic fuzzy sets with DEMATEL (Decision testing and evaluation laboratory) and ISM (Interpretive structural modeling), to analyze the relationships between these factors and identify strategies for improving MOOC quality. …”
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Creation of the MaaS readiness index with a modified AHP-ISM method by Attila Aba, Domokos Esztergár-Kiss

“…For weighting the features, the analytic hierarchy process (AHP) is used with a modified interpretive structural modeling (ISM). With this modification, an expert-friendly process is developed without affecting the results. …”
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Graph neural networks and transfer entropy enhance forecasting of mesozooplankton community dynamics by Minhyuk Jeung, Min-Chul Jang, Kyoungsoon Shin, Seung Won Jung, Sang-Soo Baek

“…The high interpretive power of GNNs provides deep insights into the structural relationships among variables, serving as a connection matrix in deep learning algorithms. …”
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Investigation of the driving power of the barriers affecting BIM adoption in construction management through ISM by Adel Alshibani, Mubarak S. Aldossary, Mohammad A. Hassanain, Hamza Hamida, Hashim Aldabbagh, Djamel Ouis

“…The second technique, Interpretive Structural Modeling (ISM), identifies the driving power of barriers and understands the correlations among them. …”
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Effectiveness evaluation of connected and automated vehicles' driving loop: Node weights and driving reliability. by Junlian Yan, Daowen Zhang, Qirui Luo, Jixiang Yang, Lei Xu, Hao Xu, Yihong Zhang

“…This method measures the importance of nodes using the Interpretive Structural Model (ISM) and complex network theory, considers driving reliability through the fuzzy evaluation method, and comprehensively determines the node weights of the network model. …”
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The learning process of physical education lessons in education through virtual education by mahyar yarahmadi, Habib Honari, Meysam Shabaninia

“…The structural-interpretive method was used to determine the relationships and design of the final model. …”
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Digital Transformation in SMEs: Enablers, Interconnections, and a Framework for Sustainable Competitive Advantage by Eyup Kahveci

“…This study addresses this gap by proposing the DASAT framework with four cyclically interrelated elements: Digital Awareness, Digital Strategy and Roadmap, Digital Adoption and Implementation, and Digital Transformation Continuous Improvement. Using a Total Interpretive Structural Modeling (TISM) approach, we construct a hierarchical model analyzing the interconnections among key factors. …”
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