How Does Energy Harvesting from a Fluttering Foil Influence Its Nonlinear Dynamics? by Dilip Thakur, Faisal Muhammad, Muhammad Saif Ullah Khalid

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Leveraging digital twins for community-driven sustainable WEFE nexus management by Ali Shehadeh, Odey Alshboul, Mohammad Tamimi

“…In this study, advanced digital modeling like a digital twin (DT) model is used to analyze the Water-Energy-Food-Environment (WEFE) nexus in Irbid Camp, a representative urban setting plagued by resource management issues. The research started by developing a dynamic Revit model of typical housing in Irbid Camp to develop a digital platform for sustainable infrastructural changes to be visualized and planned. …”
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Genetic and Molecular Characterization of H9c2 Rat Myoblast Cell Line by Thomas Liehr, Stefanie Kankel, Katharina S. Hardt, Eva M. Buhl, Heidi Noels, Diandra T. Keller, Sarah K. Schröder-Lange, Ralf Weiskirchen

“…This study presents a comprehensive genetic characterization of the H9c2 cell line, a widely used model for cardiac myoblast research. We established a short tandem repeat (STR) profile for H9c2 that is useful to confirm the identity and stability of the cell line. …”
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P253 Next-generation phenotyping facilitates the identification of structural brain malformations in rare disorders through computational brain MRI analysis by Tzung-Chien Hsieh, Shriya Jaddu, Hannah Weiland, Merle ten Hagen, Jing-Mei Li, Chi-Chia Chang, Sun-Yuan Hsieh, Hsin-Hung Chou, Gholson Lyon, William Dobyns, Wei-Liang Chen

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Utilisation of Anthropogenic Food by Red Foxes (Vulpes vulpes) in Britain as Determined by Stable Isotope Analysis by Jonathan W. J. Fletcher, Simon Tollington, Ruth Cox, Bryony A. Tolhurst, Jason Newton, Rona A. R. McGill, Paul Cropper, Naomi Berry, Krishnaveni Illa, Dawn M. Scott

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Improving Grain Safety Using Radiation Dose Technologies by Raushangul Uazhanova, Meruyert Ametova, Zhanar Nabiyeva, Igor Danko, Gulzhan Kurtibayeva, Kamilya Tyutebayeva, Aruzhan Khamit, Dana Myrzamet, Ece Sogut, Maxat Toishimanov

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Emotional analysis of operating room nurses in acute care hospitals in Japan: insights using ChatGPT by Kentaro Hara, Reika Tachibana, Ryosuke Kumashiro, Kodai Ichihara, Takahiro Uemura, Hiroshi Maeda, Michiko Yamaguchi, Takahiro Inoue

“…A comparison between AI and human analysis was performed, and data visualization techniques, including keyword co-occurrence networks and cluster analysis, were employed to identify patterns and relationships. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…The objective of the research was to develop a methodology for accurate measurement of blackberry flowers and vegetation coverage using UAV remote sensing and image analysis. …”
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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

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The Impact of Digital Tourism Marketing Dimensions on Attracting Domestic Tourism in Saudi Arabia

“…These insights also open the door for future research into regional travel patterns, long-term digital engagement, and the potential of advanced technologies such as artificial intelligence and immersive media in shaping the next generation of tourism experiences.…”
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Prevalence of eating disorders in South Asian countries: a systematic analysis of Global Burden of Disease (1990–2021) by Prakasini Satapathy, Vijay Kumar, Mahalaqua Nazli Khatib, Lalji Baldaniya, Suhas Ballal, V. Kavitha, Laxmidhar Maharana, Renu Arya, Ganesh Bushi, Muhammed Shabil, Rukshar Syed, Manika Gupta, Sunil Kumar, Sabah Ansar, Sanjit Sah, Diptismita Jena, Edward Mawejje

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Using Functional Blocks for Rolling Stock Troubleshooting: Sequential Augmented Reality Assistant (SARA) by Sara Scheffer, Alberto Martinetti, Roy Damgrave, Leo van Dongen

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Automated District-Level Energy Demand Modeling Using EnergyPlus Empowered by Digital Twin Technology by A. Jalilzadeh, A. Rafiee, S. De Graaf, T. Konstantinou, P. J. M. van Oosterom

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The Territorial Distribution of Incidence with Urogenital Chlamydia, Gonorrhea, and their Associated Complications in the Russian Federation by A. A. Abramov

“…Statistical analysis, graphing, table creation, data visualization, and research results analysis were conducted using Microsoft Excel 2010 and IBM SPSS Statistics 22 software. …”
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Cross-cultural study on social media usage and its correlation with mental health and family functioning by Bdour Alwuqaysi, Alfie Abdul-Rahman, Rita Borgo

“…The user-preference app design was validated with a separate study involving 65 social media users.The Social Brain app provides personalized, visually engaging weekly reports on users’ mental health, family functioning, and social media usage patterns. …”
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Spatiotemporal, demographic, and climatic drivers of malaria transmission in the endemic setting of Jazan, Saudi Arabia: A retrospective study by Ahmad Y Alqassim

“…Correlations and linear regression modeling identified associations between monthly cases and weather parameters mapping visualized geographic patterns. Results: Of the 5255 confirmed cases, most were concentrated in Baish sector (50.8-72.0% annually), affected adult male foreigners (93.8-97.0%), peaked inconsistently across seasons, and were imported (85.4-94.9%). …”
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An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification by R. Karthik, R. Aswin, K. S. Geetha, K. Suganthi

“…Model explainability is provided through GradCAM visualizations, highlighting the image regions crucial for the model’s predictions and enabling transparent, class-specific insights. …”
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On the Classification of Regions of the Russian Federation by Level of Socio-Economic Development and Innovation Activity Index by A. S. Vtorygin

“…The information and empirical base of the research consists of Decrees of the President of the Russian Federation, normative legal acts of the Government of the Russian Federation, and open set of statistical data provided by the Federal State Statistics Service. …”
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The Early Prediction of Kimchi Cabbage Heights Using Drone Imagery and the Long Short-Term Memory (LSTM) Model by Seung-hwan Go, Jong-hwa Park

“…The model trained on data from 44 days after planting (DAPs) demonstrated the highest accuracy (R² = 0.83, MAE = 2.48 cm, and RMSE = 3.26 cm). Color-coded maps visualizing the predicted Kimchi cabbage heights revealed distinct growth patterns between different soil types, highlighting the model’s potential for site-specific management. …”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…This complicates the reliable identification of the target crops based solely on vegetation index patterns. This research paper aims to investigate the potential of advanced techniques for crop mapping using satellite data and qualitative information. …”
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