The Growing Impact of Natural Language Processing in Healthcare and Public Health by Aadit Jerfy, Owen Selden, Rajesh Balkrishnan PhD

“…Automating labor intensive and tedious tasks with language processing algorithms, using text analytics systems and machine learning to analyze social media data and extracting insights from unstructured data allows for better public sentiment analysis, enhancement of risk prediction models, improved patient communication, and informed treatment decisions. …”
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Alert processing based on attack graph and multi-source analyzing by Wei-xin LIU, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…Current attack graph-based alert correlation cannot deal with graph relation between alerts properly,and a large number of redundant attack paths may arise when trying to find out missing alerts and predict future attacks.A multi-source alert analyzing method was proposed,fully utilizing graph relation and threshold to correlate mapped alerts and eventually reduce false positive rate as well as true negative rate.To improve the speed of the algorithm,a parallel alert processing system (AG-PAP) was proposed.AG-PAP is tested on distributed environment which gets satisfied effec-tiveness and performance.…”
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Order component extraction technology for predictive maintenance system in rotary machine by Lu Yan, Lan Tian Zhong, Yang Shi Li, Chen Qin Xiao, Bie Jin Wei, Yuan Chi, Hu Zong Min, Tong Xiao Chun

“…The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about Predictive Maintenance (PdM) are introduced, PdM is also one of the key enabling technologies in Industry 4.0. …”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Finally, the category of untrained defects could be predicted by the optimal classification function. The experimental results showed that the proposed algorithm achieved high accuracy in the classification of rail defect images.…”
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Subject-object asymmetries in the processing of European Portuguese cleft structures by Xinyi Li, Maria Lobo, Joana Teixeira

“… This study investigates the intervention effects on the processing of standard clefts by adult speakers of European Portuguese, focusing on the semantic feature of animacy. …”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

“…In this paper, we analyze the location-following processing of the image by successive approximation with the need for directed privacy. …”
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Improving data processing in medical education through machine learning by N. Shyndaliyev, A. Orynbayeva, K. Shadinova, A. Barakova, N. Nurmukhanbetova

“…Results showed that the experimental group of students who received ML-integrated training demonstrated significant improvements in analytical competence and data processing accuracy compared to the control group. The ML model achieved a coefficient of determination (R2) of 0,85 with low prediction errors (MAE=0,45, MSE=0,30, RMSE=0,55). …”
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Opportunities of natural language processing for comparative judgment assessment of essays by Michiel De Vrindt, Anaïs Tack, Wim Van den Noortgate, Marije Lesterhuis, Renske Bouwer

“…More specifically, we argue that, at the start of the assessment, initial essay quality scores could be predicted from essay texts using NLP, mitigating the cold-start problem of CJ. …”
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Changes in glycinergic neurotransmission alter mammalian retinal information processing by Anneka Joachimsthaler, Anneka Joachimsthaler, Katharina Hauf, Katharina Hauf, Anja Armbruster, Shiri Zayit-Soudry, Efrat Naaman, Ido Perlman, Rina Leibu, Alina Kurolap, Hagit Baris Feldman, Hagit Baris Feldman, Jan Kremers, Jan Kremers, Volker Eulenburg, Volker Eulenburg, Volker Eulenburg

“…However, the impact of loss of glycinergic neurotransmission on retinal signal processing and visually guided behavior, has not yet been elucidated. …”
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Evaluation of various varieties of peas as raw material for deep processing by V. G. Goldstein, L. P. Nosovskaya, L. V. Adikaeva, V. A. Kovalenok

“…In addition, depending on the choice of pea variety, it is possible to predict the yield of isolate and protein concentrate.…”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…The proposed method has been developed in the Raspberry Pi 4B Graphics Processing Unit (GPU) platform and tested on a broad dataset that integrates clinical and imaging data from patients suffering from CHD and healthy controls. …”
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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

“…To improve the effectiveness of this classification model, we introduce a predictive optimization strategy that employs a deep neural network as the learning module and utilizes particle swarm optimization to refine the weighting parameters. …”
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Antimony recovery from recycled terminals of lead-acid batteries with Na2CO3 and SiC after firstly SsB2O3 formation by Jiménez-Lugos J.C., Sánchez-Alvarado R.G., Cruz-Ramírez A., Romero-Serrano J.A., Hernández-Ramírez A., Rivera-Salinas J.E.

“…Na2CO3 contents higher than 38 wt% decreased the antimony recovery since Na2Sb4O7 compound was promoted in the slag. The oxidation and reduction process was modeled in FactSage 7.3 software for a better understanding of the Na2CO3 and SiC additions on the antimony recovery rates and compounds formed in the slag.…”
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Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design by Tomoya Horide, Shin Okumura, Shunta Ito, Yutaka Yoshida

“…Although process design is generally based on the experience of process engineers, mathematical/data-science modeling is a key challenge for future process optimization. …”
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Evaluating the effectiveness of the Drink Less smartphone app for reducing alcohol consumption compared with usual digital care: a comprehensive synopsis from a 6-month follow-up R... by Claire Garnett, Melissa Oldham, Gemma Loebenberg, Larisa Dinu, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown

Subjects: “…alcohol reduction…”
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Advanced Control of a Continuous Solution Copolymerization Process by Nádson Murilo Nascimento Lima, Lamia Zuñiga Liñan, Flavio Manenti, Rubens Maciel Filho, Marcelo Embiruçu, Maria Regina Wolf Maciel

“…A predictive controller is adopted in this work, given the success this family of controllers is having in many chemical processes and oil refineries, especially due to their possibility of including bounds on both manipulated and controlled variables. …”
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The TRIPOD Statement: how to present the results of diagnostic and prognostic studies by I. P. Kolos, D. A. Anichkov, S. A. Boytsov

“…The TRIPOD Statement aims to improve the transparency of the reporting of a prediction model study. This document describes the rationale; clarifies the meaning of each item; and discusses why transparent reporting is important, with a view to assessing risk of bias and clinical usefulness of the prediction model. …”
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Beyond pain privacy and pain meters: a new vision for pain biomarkers by Charles Djordjevic, Charles Djordjevic, Carl Y. Saab, Carl Y. Saab, Carl Y. Saab

“…To a caregiver, assessing pain in others is a challenging process shrouded in doubt. To explain this challenge, many assume that pain “belongs” exclusively to the bearer of that experience and accept the dogma that pain is private. …”
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A study on the repeatability of radiomics parameters under repeated CT scans by Yi-Zhi Zhao, Lin Wu, Zhi-Gang Min, Chao-Ying Qian, Ting Chen, Yin-Bo Feng

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