Post occupancy evaluation of architectural design studio facilities by Mohamed Salah Ezz, Mohamed Salah Ezz, Mohamed Ahmed F. Mahdy, Mohamed Ahmed F. Mahdy, Saleh Baharetha, Mohammad A. Hassanain, Mohammad A. Hassanain, Mohammed M. Gomaa, Mohammed M. Gomaa

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Leveraging Clean Power From Base Transceiver Stations for Hybrid and Fast Electric Vehicle Charging Stations System With Energy Storage Devices by Muhammad Bilal Ali, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan

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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities by Shams Forruque Ahmed, Md. Sakib Bin Alam, Shaila Afrin, Sabiha Jannat Rafa, Samanta Binte Taher, Maliha Kabir, S. M. Muyeen, Amir H. Gandomi

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Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning by Nora Rajs, Yinon Harush-Brosh, Ron Raisch, Ravit Yakobi Arancibia, Amani Zoabi, Guy Nevet Golan, Moshe Shpitzen, Sarena Wiesner, Michal Levin-Elad, Tommy Kaplan, Katherine Margulis

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Next-generation cutting-edge hybrid AI frameworks for predicting rheological properties and CO₂ emissions in alkali-activated concrete by Lu Zhang, Kangning Liu, Ali H. AlAteah, Sadiq Alinsaif, Muhammad Sufian, Ayaz Ahmad

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The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review by Jingguo Qu, Xinyang Han, Man-Lik Chui, Yao Pu, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

“…The introduction of deep learning technologies offers new possibilities for improving the accuracy of lymph node image analysis. This study evaluates the application of deep learning in lymph node segmentation and discusses the methodologies of various deep learning architectures such as convolutional neural networks, encoder-decoder networks, and transformers in analyzing medical imaging data across different modalities. …”
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Effects of nutritional counseling on dietary patterns in patients with mild cognitive impairment: insights from the BrainFit-Nutrition study by Etienne Hanslian, Etienne Hanslian, Melanie Dell’Oro, Julia K. Schiele, Julia K. Schiele, Farid I. Kandil, Farid I. Kandil, Dzenita Hasanbasic, Dzenita Hasanbasic, Cirus Henn, Elmar Graessel, Julia-Sophia Scheuermann, Petra Scheerbaum, Andreas Michalsen, Andreas Michalsen, Michael Jeitler, Michael Jeitler, Michael Jeitler, Michael Jeitler, Christian S. Kessler, Christian S. Kessler, Christian S. Kessler

“…While the primary outcome of the BrainFit-Nutrition study assessed the impacts of diet and cognitive training on cognitive performance, this secondary data analysis focuses on dietary habits and their changes over time. …”
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Nutritionally physiological cell culture medium and 3D culture influence breast tumour proteomics and anti-cancer drug effectiveness by Xiaodan Zhang, Tianhong Cheng, Ellie Cho, Wenjia Lu, Delphine Denoyer, Paul McMillan, Kalyan Shobhana, Swati Varshney, Nicholas A. Williamson, Alastair Stewart

“…Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the dimensionality of in vitro tumour cells likely impact on drug responsiveness. …”
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Targeted Dereplication of <i>H. patulum</i> and <i>H. hookeranium</i> Extracts: Establishing MS/MS Fingerprints for the Identification of Polycyclic Polyprenylated Acylphloroglucin... by Annabelle Dugay, Florence Souquet, David Hozain, Gilles Alex Pakora, Didier Buisson, Séverine Amand, Marie-Christine Lallemand, Raimundo Gonçalves de Oliveira Junior

“…Following UHPLC-HRMS/MS analysis of plant extracts, a molecular network approach facilitated a comprehensive comparison of their chemical composition, assigning specific clusters to <i>O</i>-glycosylated flavonoids and PPAPs. …”
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Transforming Agroindustry in Indonesia: Emerging Digital Technologies for Reducing Food Loss(Chinese and English versions) by Sari Intan KAILAKU, Yandra ARKEMAN, Y Aris PURWANTO, Faqih UDIN, Bahagiawati AMIRHUSIN, Hendri WIJAYA, Nizmah Jatisari HIDAYAH, Irman HERMADI, Verry Surya HENDRAWAN

“…Through these digital technology approaches, Indonesia has the potential to transition towards a proactive, data-enabled agroindustry that minimises losses and environmental footprints. …”
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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

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Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (... by Henri Vähä-Ypyä, Harri Sievänen, Seppo Heinonen, Sari Niinistö, Suvi M Virtanen, Ilkka Korhonen, Mikko Kytö, Lisa Torsdatter Markussen, Pekka Marttinen, Giulio Jacucci, Tuuli E Korhonen, Saila B Koivusalo

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A Chaotic Butterfly Attractor Model for Economic Stability Assessment in Financial Systems by Muhamad Deni Johansyah, Sundarapandian Vaidyanathan, Khaled Benkouider, Aceng Sambas, Chittineni Aruna, Sarath Kumar Annavarapu, Endang Rusyaman, Alit Kartiwa

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Beam Maps of the Canadian Hydrogen Intensity Mapping Experiment (CHIME) Measured With a Drone by Will Tyndall, Alex Reda, J. Richard Shaw, Kevin Bandura, Arnab Chakraborty, Mark Halpern, Maile Harris, Emily Kuhn, Joshua Maceachern, Juan Mena-Parra, Laura B. Newburgh, Anna Ordog, Tristan Pinsonneault-Marotte, Anna Rose Polish, Ben Saliwanchik, Pranav Sanghavi, Seth R. Siegel, Audrey Whitmer, Dallas Wulf

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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates by Lin Meng, Deyu Wang, Jun Ma, Yu Shi, Hongbo Zhao, Yanlin Wang, Qingqing Shi, Xiaodong Zhu, Dong Ming

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A searchable atlas of pathogen-sensitive lncRNA networks in human macrophages by Nils Schmerer, Harshavardhan Janga, Michelle Aillaud, Janina Hoffmann, Marina Aznaourova, Sarah Wende, Henrike Steding, Luke D. Halder, Michael Uhl, Fabian Boldt, Thorsten Stiewe, Andrea Nist, Lukas Jerrentrup, Andreas Kirschbaum, Clemens Ruppert, Oliver Rossbach, Evgenia Ntini, Annalisa Marsico, Chanil Valasarajan, Rolf Backofen, Uwe Linne, Soni S. Pullamsetti, Bernd Schmeck, Leon N. Schulte

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Brain tau PET-based identification and characterization of subpopulations in patients with Alzheimer’s disease using deep learning-derived saliency maps by Yanxiao Li, Xiuying Wang, Qi Ge, Manuel B Graeber, Shaozhen Yan, Jian Li, Shuyu Li, Wenjian Gu, Shuo Hu, Tammie L. S. Benzinger, Jie Lu, Yun Zhou

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