Calibration and Uncertainty Analysis of Freundlich and Langmuir Isotherms Using the Markov Chain Monte Carlo (MCMC) Approach by Haniyeh Sharifi Moghadam, Saeed Alimohammadi

“…This study highlights the superiority of the Langmuir model and the Metropolis-Hastings algorithm in adsorption data analysis and uncertainty evaluation.…”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…However, applying deep learning models to LiDAR-based tree classification remains challenging due to the computational complexity of existing 3D architectures, which often struggle with scalability and practical large-scale implementation. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…However, achieving real-time processing of VO using a stereo camera on embedded CPUs and GPUs is challenging due to the high computational demands and irregular computational patterns. …”
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Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe by Deborah De Moortel, Michelle C Turner, Ella Arensman, Alex Binh Vinh Duc Nguyen, Víctor Gonzalez

“…The project is a collaboration between five countries (Austria, Belgium, Greece, the UK, and Sweden) and entails a cross-national mixed-methods intervention study with an embedded process and impact evaluation. It applies an international co-creative and developmental evaluation of tailored compassionate workplace programs, and mixed-methods process and impact evaluation combining a timed series of quantitative cross-sectional panel surveys, qualitative interviews and fieldwork, and policy document analysis. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…Automatic recognition of rice diseases using computer vision is crucial for ensuring high yields, quality, and efficiency. …”
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CT Hounsfield units in assessing bone and soft tissue quality in the proximal femur: A systematic review focusing on osteonecrosis and total hip arthroplasty. by Tong-Jie Yang, Peng-Peng Wen, Xin Ye, Xiao-Feng Wu, Cheng Zhang, Shi-Yi Sun, Zi-Xuan Wu, Guang-Yi Zhang, Yi-Fei Sun, Ren Ye, Cheng-Kun Zhou, Hai-Jun He

“…<h4>Background</h4>Computed tomography (CT) Hounsfield Units (HU) offer valuable insights into the changes in bone and soft tissue densities, playing a crucial role in the diagnosis and management of various proximal femur conditions. …”
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Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps. by Kurt G Schilling, Justin Blaber, Colin Hansen, Leon Cai, Baxter Rogers, Adam W Anderson, Seth Smith, Praitayini Kanakaraj, Tonia Rex, Susan M Resnick, Andrea T Shafer, Laurie E Cutting, Neil Woodward, David Zald, Bennett A Landman

“…The method is available as a Singularity container, source code, and an executable trained model to facilitate evaluation.…”
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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…However, existing computational methods still face several challenges in PepPI prediction. …”
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FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD by Liting Fan, Yi Lei, Feng Song, Xiangfei Sun, Zhuowei Zhang

“…With model compression and ONNX deployment, the evaluation speed for each case is approximately 5 seconds. …”
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Calculation method for CO2 geological storage capacity of fault-block traps in Subei Basin based on safety considerations by SUN Dongsheng, ZHANG Shunkang, WANG Zhilin, GE Zhengjun, LIN Bo

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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

“…This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics-integrated deep neural analysis approach, combining computational predictions with molecular docking and in vitro experiments for comprehensive evaluation. …”
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164 An algebra assessment and primer for future clinical and translational scientists entering training by Angie Mae Rodday, Vincent Costello, David M Kent, Joshua T Cohen

“…A graduate student in computational mathematics with extensive tutoring experience then drafted assessment questions, a comprehensive study guide, and brief cheat sheet. …”
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Reconstruction of S. Margherita Project of 1685 as designed by Agostino Barelli by Fabrizio Ivan Apollonio, Federico Fallavollita, Riccardo Foschi

“…Abstract: This paper presents a structured three-dimensional (3D) reconstruction methodology of architectural heritage adopted and implemented in the context of the CoVHer (Computer-based Visualisation of architectural Heritage) Erasmus+ project. …”
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Peptide receptor radionuclide therapy with 177Lu-DOTATATE for metastatic neuroendocrine tumor occurring in association with multiple endocrine neoplasia type 1 and cushing's syndro... by Chinna Naik, Sandip Basu

“…The change in FDG uptake was found to be an important sensitive scan parameter in the treatment evaluation of NETs compared to somatostatin receptor-based imaging in the cases with low MiB1 index. …”
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Optimized spectral indices for camouflage detection in multispectral imagery by Tobias Hupel, Peter Stütz

“…The evaluation shows that the optimized LRIs provide the best overall results in terms of visibility and detectability of camouflaged targets. …”
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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…This text also compares the evaluated models in terms of their conversion efficiency, cost of deployment, delay needed for control, scalability and computational complexity under different scenarios. …”
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STATEWIDE ASSESSMENT OF WILD TURKEY HABITAT USING SATELLITE IMAGERY IN ARKANSAS by Sharon L. Goetz, William F. Porter

“…We adapted habitat variables used for ground‐based habitat evaluation to classified land cover and assessed quality of the landscape for turkeys by using 2 approaches: a habitat suitability index (HSI) model and logistic regression model. …”
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Older adults' needs and preferences for a nutrition education digital health solution: A participatory design study by Ashlee Turner, Victoria M. Flood, Haley M. LaMonica

“…., smartphones, tablets and computers) and reported being comfortable doing so. …”
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Entropy-Regularized Attention for Explainable Histological Classification with Convolutional and Hybrid Models by Pedro L. Miguel, Leandro A. Neves, Alessandra Lumini, Giuliano C. Medalha, Guilherme F. Roberto, Guilherme B. Rozendo, Adriano M. Cansian, Thaína A. A. Tosta, Marcelo Z. do Nascimento

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Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments by Sai Babu Veesam, B. Tarakeswara Rao, Zarina Begum, R. S. M. Lakshmi Patibandla, Arvin Arun Dcosta, Shonak Bansal, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Finally, the BGS-MFA synthesizes new abnormal behaviors using generative behavior synthesis and meta-learned few-shot adaptation to generalize anomaly detection by 35%. Evaluation on the UCF-Crime, ShanghaiTech and Avenue Datasets showed 40% better false alarm reduction, 50% computational demands lower and an impressive 98% real-time efficiency of this multi-faceted framework. …”
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