Unlocking the potential of cacao yield with full sun cultivation by Carolina S. Benjamin, Luiz A. S. Dias, Samuel C. V. Martins, Carlos E. Aucique-Perez, Lucas B. C. Rosmaninho

“…Water availability, nutrient supply, and appropriate plant architecture also contributed to this acclimatization. …”
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Securing fog computing in healthcare with a zero-trust approach and blockchain by Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith

“…Abstract As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. The traditional perimeter-based security models are inadequate for addressing the dynamic and distributed nature of fog networks, leaving them vulnerable to unauthorized access, data tampering, and latency issues. …”
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Sustainable synthesis and advanced optimization of Prosopis juliflora biomass catalyst for efficient biodiesel production and environmental impact assessment by Thota S S Bhaskara Rao, Manikandaraja Gnanaprakasam, Rajayokkiam Manimaran, Dhinesh Balasubramanian, Utku Kale, Artūras Kilikevičius

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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…A sequential model architecture based on bi-directional long short-term memory (Bi-LSTM) layers was utilized. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…In a novel approach, BarlowDTI, we utilise the powerful Barlow Twins architecture for feature-extraction while considering the structure of the target protein. …”
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Embodied climate impacts in urban development: a neighbourhood case study by Simon Sjökvist, Nicolas Francart, Maria Balouktsi, Harpa Birgisdottir

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CONSTRUCTIVE GEOMETRY IN IMPLEMENTATIONS OF MODERN 3D GRAPHICS by Ivan G. Lenchuk, Oleksandr O. Mosiiuk

“…Engineering and manufacturing, architecture, design, cinematography, education, and the game industry are an incomplete list of industries where it is actively used. …”
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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

“…During the prediction phase, the deep learning architecture demonstrates exceptional speed, requiring <inline-formula> <tex-math notation="LaTeX">$17~\pm ~0.02$ </tex-math></inline-formula> milliseconds per frame to generate the final segmented output. …”
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Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling by R. J. O'Loughlin, D. Li, R. Neale, T. A. O'Brien, T. A. O'Brien

“…We propose three types of understanding as a basis to evaluate trust in dynamical and AI models alike: (1) instrumental understanding, which is obtained when a model has passed a functional test; (2) statistical understanding, obtained when researchers can make sense of the modeling results using statistical techniques to identify input–output relationships; and (3) component-level understanding, which refers to modelers' ability to point to specific model components or parts in the model architecture as the culprit for erratic model behaviors or as the crucial reason why the model functions well. …”
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SkelETT&#x2014;Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…We introduce SkelETT, an encoder-only transformer architecture for body emotion recognition. Comprising a series of encoder layers, SkelETT patches 2D body pose representations, it also includes multi-head self-attention mechanisms and position-wise feed-forward networks, providing a powerful framework for extracting hierarchical features from sequential body pose data. …”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…This study performs facial image classification to distinguish people using masks or not by using CNN and Transfer Learning. The CNN architecture used in this research is MobileNetV2, VGG16, DenseNet201, and Xception. …”
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Studi Awal Deteksi COVID-19 Menggunakan Citra CT Berbasis Deep Learning by Windra Swastika

“…The training process is carried out using CNN with VGG16 architecture and SGD and Adam optimizers. The results obtained are 92.86% accuracy for classifying COVID-19 infections and normal. …”
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia by Parya Broomandi, Kaveh Mohammadpour, Dimitris G. Kaskaoutis, Aram Fathian, Sabur F. Abdullaev, Vladimir A. Maslov, Amirhossein Nikfal, Ali Jahanbakhshi, Bakhyt Aubakirova, Jong Ryeol Kim, Alfrendo Satyanaga, Alireza Rashki, Nick Middleton

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Frost resistance and micro mechanism of metakaolin and polypropylene fiber modified coastal cement soil by Xukun Ma, Pengfei Wei, Ping Jiang, Haoqing Xu, Na Li, Sijia Qian, Wei Wang, Guoxiong Mei

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Abnormal power and spindle wave activity during sleep in young smokers by Youwei Dong, Yongxin Cheng, Juan Wang, Zhiwei Ren, Yiming Lu, Kai Yuan, Kai Yuan, Fang Dong, Dahua Yu

“…IntroductionSmoking is associated with significant alterations in sleep architecture. Previous studies have revealed changes in the subjective sleep of young smokers, but research on objective sleep assessment using polysomnography (PSG) is limited. …”
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Flavones enrich rhizosphere Pseudomonas to enhance nitrogen utilization and secondary root growth in Populus by Jiadong Wu, Sijia Liu, Haoyu Zhang, Sisi Chen, Jingna Si, Lin Liu, Yue Wang, Shuxian Tan, Yuxin Du, Zhelun Jin, Jianbo Xie, Deqiang Zhang

“…Abstract Plant growth behavior is a function of genetic network architecture. The importance of root microbiome variation driving plant functional traits is increasingly recognized, but the genetic mechanisms governing this variation are less studied. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…To address limitations in existing approaches, we introduce a novel U-shaped segmentation architecture based on our Residual Space State Block. …”
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Finite-Time Output Robust Control for Restricted Joint Flight Emulator Robotic Arm With Adaptive Tangent Barrier Gains by Isaac Chairez, Alejandra Hernandez-Sanchez, Caridad Mireles, Arthur Mukhamedov, Grigory Bugriy, Stepan Lemak, Viktor Chertopolokhov

“…A standard state feedback control architecture serves as a benchmark for comparison. The origin is shown to be a fixed-time stable equilibrium point for the tracking error space, provided state space constraints are met, as evidenced by the faster convergence of the mean square estimation of the tracking error. …”
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Dynamic responses characteristics of bedrock and overburden layer slope with anchored frame piles based on shaking table test by Lei Wang, Qianhui Pu, Guangpeng Chen, Jing Lian, Changwei Yang, Mingming Dai

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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

“…The study utilizes YOLO version 8, a deep learning-based network segmentation technique, for precise broiler segmentation, significantly improving weight accuracy in complex environments. The YOLOv8 architecture builds a model that demonstrates improved and trustworthy results in broiler weight prediction, achieving a mean average precision across a range of intersection over union thresholds from 50 % to 95 % of 0.829. …”
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