Predicting weather-related power outages in large scale distribution grids with deep learning ensembles by L. Prieto-Godino, C. Peláez-Rodríguez, J. Pérez-Aracil, J. Pastor-Soriano, S. Salcedo-Sanz

“…This paper focuses on predicting daily reported incidences in electrical grids within specific regions, leveraging weather conditions as specific predictive variables. An optimization-based feature selection approach has been considered for selecting the optimal Reanalysis node locations used as predictors. …”
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A Hybrid CNN Framework DLI-Net for Acne Detection with XAI by Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

“…The DeepLabV3 model isolates acne lesions and generates accurate segmentation masks, while InceptionV3 efficiently classifies the different types of acne, improving the overall diagnostic accuracy. …”
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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…By employing multi-prompt fusion, the model fully leverages the complementary strengths of multiple prompts, avoiding the incompleteness and instability associated with using a single prompt. In addition, to optimize model performance, this paper designs aspect term and opinion term recognition as index generation tasks. …”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social... by A. A. Poguda, H. Tape

“…The aim of this research is to develop an intelligent system for processing semistructured data from comments on social media videos using structuring algorithms targeting different industries. The research aims to create an efficient method to analyze tone, clustering and extract key themes from comments in order to evaluate the impact of video content on the audience. …”
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Revitalizing the Epigenome of Adult Jaw Periosteal Cells: Enhancing Diversity in iPSC-Derived Mesenchymal Stem Cells (iMSCs) by Felix Umrath, Valerie Wendt, Gilles Gasparoni, Yasser Narknava, Jörn Walter, Bernd Lethaus, Josefin Weber, Victor Carriel, Meltem Avci-Adali, Dorothea Alexander

“…To assess the safety of the generated cells, we evaluated their ability to form teratomas through subcutaneous injection into immunodeficient mice. …”
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Integration of Biomechanical and Biological Characterization in the Development of Porous Poly(caprolactone)-Based Membranes for Abdominal Wall Hernia Treatment by Federico Vozzi, Tiziana Nardo, Ilenia Guerrazzi, Claudio Domenici, Silvia Rocchiccioli, Antonella Cecchettini, Laura Comelli, Giovanni Vozzi, Carmelo De Maria, Francesca Montemurro, Gianluca Ciardelli, Valeria Chiono

“…An optimal porous membrane structure was selected based on the evaluation of physicochemical, biomechanical, and in vitro biological properties, compared to a reference commercially available hernia mesh (CMC). …”
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DepthRL: a weakly supervised approach for monocular depth estimation using deep reinforcement learning by Han Chen, Yongxiong Wang, Jiayi Zhang, Jiapeng Zhang, Zhiqun Pan, Shuwen Jia, Shuai Huang

“…We also propose a novel feature fusion module, Symmetric Gated Attention Fusion (SGAFM), where the gated attention mechanism is used to suppress redundant and conflicting information, addressing semantic inconsistencies between different features. Experimental evaluations on the benchmark KITTI and NYU Depth v2 datasets, covering both indoor and outdoor environments.…”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…Abstract The classification of remote sensing images is inherently challenging due to the complexity, diversity, and sparsity of the data across different image samples. Existing advanced methods often require substantial modifications to model architectures to achieve optimal performance, resulting in complex frameworks that are difficult to adapt. …”
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O&G, Geothermal Systems, and Natural Hydrogen Well Drilling: Market Analysis and Review by Andreas Nascimento, Diunay Zuliani Mantegazini, Mauro Hugo Mathias, Matthias Reich, Julian David Hunt

“…The main focuses of this technical–scientific contribution and research are (i) to evaluate the global energy matrix; (ii) to show the context over the years and future perspectives on geothermal systems and natural hydrogen exploration; and (iii) to present and analyze the importance of developing technologies on drilling process optimization aiming at accessing these natural energy resources. …”
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A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration by Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen

“…The results show that, for small-scale instances (job count ≤10), the MILP model can generate optimal scheduling solutions within a practical computation time (several minutes). …”
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Circulating Tumour DNA as a Biomarker Source in Metastatic Prostate Cancer by Gillian Vandekerkhove, Alexander Wyatt

“…Importantly, the burden of ctDNA in the blood has strong prognostic implications at different points during the natural history of metastatic progression. …”
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Assessing the realization rate of effectiveness components in the faculty member of civil engineering department at Imam Khomeini International University (IKIU) by Roohollah Taherkhani, Amirhossein Hajibabaei

“…The university as responsible of education for future generations is bound to commit its professional effectiveness as an important process in the performance of the education system. …”
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Radiation safety problems during the patient traveling by public transport after radiopharmaceutical therapy with 131I by A. V. Petryakova, L. A. Chipiga, I. A. Zvonova, A. V. Vodovatov, G. A. Gorsky, A. A. Stanzhevsky

“…In this work, 131I excretion from the body of patients in transport was evaluated for different scenarios of patient travel to the place of residence. …”
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Pilot for Harmonization of Diagnostic Protocols for Tomato Brown Rugose Fruit Virus (ToBRFV) in Tomato and Pepper Seeds by Vessela Mavrodieva, Geoffrey Dennis, Beatriz Xoconostle-Cázares, Kevin Ong, Brooke Zale, Jennifer Nickerson, Edward Podleckis, Angel Ramírez-Suárez, Marlene Ortíz-Berrocal, Alonso Suazo, Stephanie Bloem

“…Three end-point PCR and two real-time PCR protocols were evaluated via a ring test. Nine laboratories from Canada, the United States, and Mexico participated in the ring test, which generated 3,680 data points from analytical, diagnostic, and calibrator samples. …”
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AI‐assisted warfarin dose optimisation with CURATE.AI for clinical impact: Retrospective data analysis by Tiffany Rui Xuan Gan, Lester W. J. Tan, Mathias Egermark, Anh T. L. Truong, Kirthika Kumar, Shi‐Bei Tan, Sarah Tang, Agata Blasiak, Boon Cher Goh, Kee Yuan Ngiam, Dean Ho

“…Objectives We aim to employ CURATE.AI, a small‐data, artificial intelligence‐derived platform that has been clinically validated in a range of indications, to optimize and guide warfarin dosing. Patients/methods A personalized CURATE.AI response profile was generated using warfarin dose (inputs) and corresponding change in INR between two consecutive days (phenotypic outputs) and used to identify and recommend an optimal dose to achieve target treatment outcomes. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…Leveraging these inherent nonlinear relationships, compared and analyzed the effects of different combinations of explanatory variables on SIF reconstruction, mainly analyzing the three indicators of goodness of fit R2, root mean square error RMSE, and mean absolute error MAE, and then selecting the best SIF reconstruction model, generate a regional scale, spatially continuous, and high temporal resolution (500 m, 8 d) soybean SIF reconstruction dataset (BPSIF).…”
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Meta-Features Extracted from Use of kNN Regressor to Improve Sugarcane Crop Yield Prediction by Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette, Bruno Tisseyre

“…MFs were generated based on the values obtained by different regressors applied to the features collected in the field, allowing for evaluating which approaches offered superior predictive performance within the dataset. …”
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Use of current automatic smoke evacuation system in flexible gastrointestinal endoscopy: Its feasibility and potential usefulness by Yohei Nose, Motohiko Kato, Shoma Aoyagi, Kazunori Akeo, Kotaro Yamashita, Takuro Saito, Koji Tanaka, Kazuyoshi Yamamoto, Tomoki Makino, Tsuyoshi Takahashi, Yukinori Kurokawa, Hidetoshi Eguchi, Yuichiro Doki, Kiyokazu Nakajima

“…Methods [Bench] After surgical smoke generated in the stomach was evacuated by the evacuator, the degree of residual smoke and gastric luminal collapse were evaluated to optimize the evacuator settings. …”
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Gantry-based pencil beam scanning proton therapy for uveal melanoma: IMPT versus proton arc therapy by Hang Qi, Lei Hu, Sheng Huang, Yen-Po Lee, Francis Yu, Qing Chen, Yunjie Yang, Minglei Kang, Huifang Zhai, Milo Vermeulen, Andy Shim, Peter Park, Xuanfeng Ding, Jun Zhou, David H. Abramson, Jasmine H. Francis, Charles B. Simone, Christopher A. Barker, Haibo Lin

“…Treatment quality for both plans was evaluated daily using CBCT-generated synthetic CT. …”
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Influence of the Inclusion of Off-Nadir Images on UAV-Photogrammetry Projects from Nadir Images and AGL (Above Ground Level) or AMSL (Above Mean Sea Level) Flights by Francisco Agüera-Vega, Ezequiel Ferrer-González, Patricio Martínez-Carricondo, Julián Sánchez-Hermosilla, Fernando Carvajal-Ramírez

“…The aim of this study is to evaluate the effect of incorporating oblique images as well as the type of flight on the accuracy and precision of the point clouds generated through UAV-SfM workflows for terrains with complex geometries. …”
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