Analysis of the Frost-Induced Damage of Building Enclosures on the Territory of the Czech Republic by Jan Kočí, Jiří Maděra, Vojtěch Pommer, Robert Černý

“…In this way, the basic datasets for the frost damage analysis are obtained. …”
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A Multitask Multiview Neural Network for End-to-End Aspect-Based Sentiment Analysis by Yong Bie, Yan Yang

“…The experimental results on three benchmark datasets show that the proposed method exceeds the existing pipeline methods and end-to-end methods, proving the superiority of our MTMVN architecture.…”
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AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions by Mini Han Wang, Lumin Xing, Yi Pan, Feng Gu, Junbin Fang, Xiangrong Yu, Chi Pui Pang, Kelvin Kam-Lung Chong, Carol Yim-Lui Cheung, Xulin Liao, Xiaoxiao Fang, Jie Yang, Ruoyu Zhou, Xiaoshu Zhou, Fengling Wang, Wenjian Liu

“…The research conducts a comprehensive review of datasets, diagnostic evidence, and standards, as well as advanced algorithms in AI-based DED detection over the past five years. …”
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Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering by Bing Han, Mingqing Liu, Zhenyu Ma, Ke Zhang, Yanke Xu, Jingyu Wang, Qi Wang

“…With support vector machines (SVM) as the classifier, the UPANC method achieved good performance, where the overall accuracy scores were 89.05%, 82.62%, and 92.07% on the Houston, IndianPines, and Pavia University datasets, respectively. The experimental results illustrated the advantages of the UPANC method, which could select optimal bands to enhance the performance in land cover observation.…”
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The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

“…Genomics and personalized medicine were explored as integral components of cancer detection, illustrating how AI facilitates tailored treatment strategies by analyzing vast genomic datasets. Additionally, the discussion encompassed clinical decision support systems, explaining their utility in aiding healthcare professionals with evidence-based insights for more informed decision-making in cancer detection and management. …”
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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs by Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf

“…We perform an extensive experimental study on real-world datasets to showcase the efficiency, scalability, robustness, and pertinence of the solution. …”
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PPARα-mediated lipid metabolism reprogramming supports anti-EGFR therapy resistance in head and neck squamous cell carcinoma by Valentin Van den bossche, Julie Vignau, Engy Vigneron, Isabella Rizzi, Hannah Zaryouh, An Wouters, Jérôme Ambroise, Steven Van Laere, Simon Beyaert, Raphaël Helaers, Cédric van Marcke, Lionel Mignion, Elise Y. Lepicard, Bénédicte F. Jordan, Céline Guilbaud, Olivier Lowyck, Hajar Dahou, Antonella Mendola, Manon Desgres, Léo Aubert, Isabelle Gerin, Guido T. Bommer, Romain Boidot, Perrine Vermonden, Aurélien Warnant, Yvan Larondelle, Jean-Pascal Machiels, Olivier Feron, Sandra Schmitz, Cyril Corbet

“…Importantly, the PPARα-related gene signature, in human clinical datasets, correlates with lower response to anti-EGFR therapy and poor survival in HNSCC patients, thereby validating its clinical relevance. …”
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Dense Sandstone Material Decomposition Based on Improved Convolutional Neural Network by Ran ZHANG, Huihua KONG, Jiaxin LI, Yijiao SONG

“…The feasibility of this method is verified on simulated rock and artificial sandstone datasets. The simulation and experimental results show that RS-Net combined with mixing loss can retain more internal details of the image, the decomposed image edge is clearer, and the image quality is higher.…”
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A Semiempirical Method to Estimate Actual Evapotranspiration in Mediterranean Environments by Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Fabio Maselli

“…The current paper proposes a method to normalize annual SWC datasets and integrate them in an ETA estimation procedure suitable for monitoring both agricultural and natural Mediterranean ecosystems. …”
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Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects by Tingjing Geng, Hongfu Qiang, Heyang Miao, Xueren Wang, Zhejun Wang, Huimin Zhang

“…Specifically, we conducted accelerated thermal aging and uniaxial tensile tests under different constant strain conditions to obtain performance degradation datasets. Additionally, a new degradation performance characterization model was proposed, which was validated and improved based on the correlation between the Williams-Landel-Ferry (WLF) and Arrhenius equation parameters. …”
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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks by Xueying Yang, Fabao Xu, Han Yu, Zhongwen Li, Xuechen Yu, Zhiwen Li, Li Zhang, Jie Liu, Shaopeng Wang, Shaopeng Liu, Jiaming Hong, Jianqiao Li

“…We endeavor to employ preoperative images along with postoperative OCT contours annotated and extracted via LabelMe and OpenCV to train the model in generating postoperative contours of critical OCT structures instead of previous whole retinal morphology, considerably alleviating the difficulty of output phase and diminishing the requisite quantity of training datasets. Our study reveals that the GAN could serve as an auxiliary instrument for ophthalmologists in determining the prognosis of individuals and screening patients with poor responses to anti-VEGF therapy.…”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

“…The framework achieves precision, recall, and F-score of 79.2%, 86.5%, and 83%, respectively, on the YouTube, EPFL, and TVSum datasets. Beyond technological advancements, opportunities for effective content management are highlighted, emphasizing the promotion of sustainable digital practices. …”
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Evaluation et développement durable :Retour d’expérience de la pratique de l’évaluation à l’ADEME by Eric Plottu

“…Ces évaluations visent à apprécier la pertinence, l’efficacité et l’impact des actions de l’Agence sur l’ensemble de ces champs d’intervention (énergie, déchets, air et transport, développement durable).  …”
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Evaluating the Adequacy of Central Line-Associated Bloodstream Infection As a Quality Measure: A Cross-Sectional Analysis at a Single Tertiary Care Center by Piyush Mathur, MD, FCCM, FASA, FAMIA, Amanda J. Naylor, MD, MPH, Moises Auron, MD, Jean Beresian, MD, Alexandra Tallman, BSN, RN, SANE-A, Allison Griffith, MSN, RN, CCRN, CPHQ, Kathleen Seasholtz, BSN, RN, HACP, Mariel Manlapaz, MD, Katherine Zacharyasz, MSN, RN, CPHQ, Reem Khatib, MD, MBA, FASA, Shreya Mishra, PhD, Kathryn Haller, PA, Thomas Fraser, MD, Katherine Holman, MD

“…The definition of CLABSI as a surrogate for catheter-related BSI is inadequate, with a PPV of 58.0% (43.1–67.6%). …”
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Economic Impact of Postoperative Urinary Retention in the US Hospital Setting by Weijia Wang, Arielle Marks-Anglin, Vladimir Turzhitsky, Robert J. Mark, Aurelio Otero Rosales, Nathaniel W. Bailey, Yiling Jiang, Joseph Abueg, Ira S. Hofer, Toby N. Weingarten

“…Patients were divided into 2 groups: those experiencing POUR (composite of retention of urine, insertion of temporary indwelling bladder catheter, insertion of non-indwelling bladder catheter) during index hospitalization following surgery and those without POUR. …”
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Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information by Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen

“…In this work, we present a nonrigid volumetric registration algorithm to track lung motion between a pair of intrasubject CT images acquired at different inflation levels and introduce a new vesselness similarity cost that improves intensity-only registration. Volumetric CT datasets from six human subjects were used in this study. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Experimental evaluations on two real-world oil price datasets demonstrate the superior performance of the proposed model, achieving a Mean Squared Error (MSE) of 0.000054 and outperforming benchmark models.…”
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Similarity-Based Summarization of Music Files for Support Vector Machines by Jan Jakubik, Halina Kwaśnicka

“…We evaluate the approach on five datasets, focusing on emotion recognition and complementing it with genre classification. …”
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High-Quality Text-to-Image Generation Using High-Detail Feature-Preserving Network by Wei-Yen Hsu, Jing-Wen Lin

“…Compared with the state of the art, experimental results obtained on the CUB-Bird and MS-COCO datasets demonstrate that the proposed HDFpNet achieves better performance and visual presentation, especially regarding high-detail images and feature preservation.…”
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An in vitro model of the glomerular capillary wall using electrospun collagen nanofibres in a bioartificial composite basement membrane. by Sadie C Slater, Vince Beachley, Thomas Hayes, Daming Zhang, Gavin I Welsh, Moin A Saleem, Peter W Mathieson, Xuejun Wen, Bo Su, Simon C Satchell

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