The role of sensory attenuation in symptomatic and healthy individuals: a scoping review by Luca Rossi, Francesco Cerritelli, Francesco Cerritelli, Mick Thacker, Jorge E. Esteves, Jorge E. Esteves

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Effect of UV-C Postharvest Disinfection on the Quality of Fresh-Cut 'Tommy Atkins' Mango by Alba Mery Garzón-García, Saúl Ruiz-Cruz, Saúl Dussán-Sarria, José Igor Hleap-Zapata, Enrique Márquez-Ríos, Carmen Lizette Del-Toro-Sánchez, José Agustín Tapia-Hernández, Dalila Fernanda Canizales-Rodríguez, Víctor Manuel Ocaño-Higuera

Subjects: “…minimal processing…”
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Impact of SiO2 content on the hydrogen based direct reduction performance of high-grade hematite pellets by Bohua Li, Deqing Zhu, Zhengqi Guo, Jian Pan, Congcong Yang, Siwei Li

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Linear Dimensionality Reduction: What Is Better? by Mohit Baliyan, Evgeny M. Mirkes

“…This research paper focuses on dimensionality reduction, which is a major subproblem in any data processing operation. …”
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Identifying species traits that predict vulnerability to climate change by Damien A. Fordham

“…By providing a more complete understanding of the traits and contexts that regulate different responses of species to climate change, these process-driven approaches are likely to result in more certain predictions of the species that are most vulnerable to climate change.…”
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Reduction of Multiplicative Noise in Radar Images by A. A. Tuzova, V. A. Pavlov, A. A. Belov

“…After determining the optimal (in terms of SSIM) parameters of speckle noise reduction filters, the filters were compared to select the best filters in terms of the quality of radar image processing. …”
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Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models by Vinh Ngoc Tran, Valeriy Y. Ivanov, Donghui Xu, Jongho Kim

“…Abstract Applications of process‐based models (PBM) for predictions are confounded by multiple uncertainties and computational burdens, resulting in appreciable errors. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…Further, the image analysis quality is improved by 20.7%, and the complete defect prediction is gradually formed. The research results of this paper further improve the efficiency of the neural network model and maintain the accuracy of data, which not only meets the needs of highway subgrade detection but also promotes the application of large-scale image processing technology. …”
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Challenges in Photocatalytic Carbon Dioxide Reduction by Guangfu Liao, Guixiang Ding, Bin Yang, Chunxue Li

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Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data by Jiajing Tong, Tong Su, Yu Chen, Xiaobo Zhang, Ming Yao, Yanling Wang, Haozhe Liu, Min Xu, Jian Wang, Zhengyu Jin

“…Abstract Background To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CTA derived from low-dose cerebral CTP. …”
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Growth, Reduction, and Survival of Bacteria on Tomatoes by Angela M. Valadez, Keith R. Schneider, Michelle D. Danyluk

“…This 32-page fact sheet highlights current tomato safety related studies on the growth, reduction, and survival of bacteria on fresh-market tomatoes. …”
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Growth, Reduction, and Survival of Bacteria on Tomatoes by Angela M. Valadez, Keith R. Schneider, Michelle D. Danyluk

“…This 32-page fact sheet highlights current tomato safety related studies on the growth, reduction, and survival of bacteria on fresh-market tomatoes. …”
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Enhancing predictive analytics in mandibular third molar extraction using artificial intelligence: A CBCT-Based study by Faezeh Khorshidi, Rasool Esmaeilyfard, Maryam Paknahad

“…The study involved two main steps: pre-processing and processing of the textual data. During pre-processing, the reports were cleaned and standardized. …”
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Streamflow Prediction at the Intersection of Physics and Machine Learning: A Case Study of Two Mediterranean‐Climate Watersheds by S. Adera, D. Bellugi, A. Dhakal, L. Larsen

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Cloud-edge Collaborative Data Processing Method for Intelligent Operation and Maintenance of Power Grid Production Equipment by LI Yadan, CHEN Xiaofeng, HUANG Xiaoming, ZHANG Sunxuan

Subjects: “…cloud-edge collaborative data processing…”
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An Explainable Model Using Graph-Wavelet for Predicting Biophysical Properties of Proteins and Measuring Mutational Effects by Shreya Mishra, Neetesh Pandey, Atul Rawat, Divyanshu Srivastava, Arjun Ray, Vibhor Kumar

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Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health by Avijit Mitra, Kun Chen, Weisong Liu, Ronald C. Kessler, Hong Yu

“…Abstract Despite the established association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health record notes for suicide prediction remain underutilized. This study investigates the impact of SBDH identified from both structured and unstructured data utilizing a natural language processing (NLP) system on suicide prediction at 7, 30, 90, and 180 days post-discharge. …”
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Surprisal From Language Models Can Predict ERPs in Processing Predicate-Argument Structures Only if Enriched by an Agent Preference Principle by Eva Huber, Sebastian Sauppe, Arrate Isasi-Isasmendi, Ina Bornkessel-Schlesewsky, Paola Merlo, Balthasar Bickel

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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

“…This study proposes the Composition and Processing-Driven Two-Stage Corrosion Prediction Framework with Structural Prediction (CPSP Framework), which first predicts crystal structure and then combines composition and processing data for corrosion current prediction. …”
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Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method by Tulay Turan, Ecir Ugur Kucuksille

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