Perceived barriers to the process of COVID-19 control among frontline healthcare workers in South Korea: a qualitative study by Heeyoung Lee, Myoungsoon You, Bee-Ah Kang, Sijoung Kwon

“…Each theme described how these barriers affected a disease control process: (1) ‘uncooperative public and unprepared community health centre’ delayed the investigation of newly diagnosed COVID-19 cases; (2) ‘uncoordinated disease control system’ impeded the collection and analysis of digital data; (3) ‘the gap between responsibilities and capabilities’ hindered the classification of close and casual contacts; and (4) ‘conflicts with persons who have different interests and priorities’ hampered epidemiological decision-making.Conclusions Our study found that frontline HCWs experienced various challenges disrupting their work performance to control COVID-19. …”
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Controls on Sediment Transport From a Glacierized Catchment in the Swiss Alps Established Through Inverse Modeling of Geomorphic Processes by Ian Delaney, Mauro A. Werder, David Felix, Ismail Albayrak, Robert M. Boes, Daniel Farinotti

“…Here, we present a catchment‐scale numerical model of subglacial and proglacial sediment transport with debris meltout processes. We apply the model in a Monte Carlo framework to suspended sediment data collected over 2014–2020 from the Fieschertal catchment in the Swiss Alps, assessing possible combinations of geomorphic processes responsible for suspended sediment discharge. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. …”
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Application Effectiveness of a Pre-Analytical Quality Management Pathway Based on the Structure–Process–Outcome Model by Cui L, Li W, Li Y, Feng X, Wang Y, Gao P

“…Data were analyzed using t-tests (with effect sizes) and χ²-tests; confidence intervals and multiple-comparison corrections were also applied.Results: The observation group showed significantly lower rates of non-compliance in sample type, collection container, volume, contaminated blood cultures, and coagulated samples (all p < 0.01, with 95% confidence intervals). …”
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5.5 GHz film bulk acoustic wave filters using thin film transfer process for WLAN applications by Tingting Yang, Chao Gao, Yaxin Wang, Binghui Lin, Yupeng Zheng, Yan Liu, Cheng Lei, Chengliang Sun, Yao Cai

“…A lattice-type filter based on these FBARs is then developed for the Wi-Fi UNII-2 band, featuring a center frequency of 5.5 GHz and a −3 dB bandwidth of 306 MHz, supporting high data rates and large throughputs in WLAN applications.…”
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Research on Application of Big Data in Internet Financial Credit Investigation Based on Improved GA-BP Neural Network by Fei-Peng Wang

“…Finally, the rule extraction algorithm is used to simulate the test samples. The accuracy rate of each sample method is over 90%, and some accuracy rate is even more than 90%, which indicates that the model is applicable to the credit data of big data in internet finance.…”
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Gone and forgotten? Predictors of birth history omissions in India by Sharan Sharma, Sonalde Desai, Debasis Barik, Om Prakash Sharma

“…These errors can bias demographic estimates such as fertility rates and child mortality rates. OBJECTIVE: We focus on births missing in fertility histories. …”
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Preparation and hot compression deformation of biomedical Ni-Ti alloy by WANG Zhen, XU Xiao-wen, WANG Kuai-she, WANG Wen

“…Then, the best temperature range of hot deformation is determined as 820-880 ℃, and the true strain rate is less than 0. 1 s-1. This study provides a theoretical and data basis for the development of forging process parameters of Ni-Ti alloy.…”
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Study on Fatigue Allowance Formulation Based on Physiological Measurements by Li Qu, Juntong Zhang, Di Wang, Lin Zhang, Zhunan Wu

“…By further fitting the above data, a fatigue relaxation rate model suitable for simulating operation methods was obtained (the fatigue coefficient for the simulated operations in this study is 0.076152) which could provide a reasonable basis for the formulation of fatigue allowance rates for machining methods.…”
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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…After preprocessing and processing data, data mining models including Classification & Regression Tree (CART), Chi-squared Automatic Interaction Detector (CHAID), Induction of Decision Trees (C5) and neural networks Radial Basis Function (RBF), Multi Layer Perceptron (MLP) and Support Vector Machine (SVM) were used in Spss Modeler Ver 20 software. …”
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CLINICAL EVALUATION OF THE MANIFESTATIONS OF INTERSTITIAL LUNG INJURYIN SYSTEMIC SCLERODERMA FROM HIGH-RESOLUTION COMPUTER T OMOGRAPHY DATA by L P Anan'eva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoytova, O V Desinova, L P Ananyeva, L V Teplova, V N Lesnyak, O A Koneva, O B Ovsyannikova, M N Starovoitova, O V Desinova

“…Objective: to estimate the detection rate of interstitial lung injury (ILI) and to characterize its manifestations from high-resolution computed tomography (HRCT) data in patients with systemic scleroderma (SSD). …”
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Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…Boosting is a machine learning technique that combines multiple weak learners into a strong learner. Big data refers to large-scale, complex datasets that exceed traditional data processing capabilities. …”
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Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…Recently, three-dimensional or visual design, dressing, and simulation programs have become prominent in the garment industry. Image processing technology is increasingly utilized in the online customization process to adapt to the growth and revolution of garment customization. …”
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Penerapan Deep Convolutional Generative Adversarial Network Untuk Menciptakan Data Sintesis Perilaku Pengemudi Dalam Berkendara by Michael Stephen Lui, Fitra Abdurrachman Bachtiar, Novanto Yudistira

“…Salah satu metode untuk meningkatkan performa metode deep learning adalah dengan menggunakan data sintesis hasil model generatif sebagai tambahan data. …”
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Multi-Targeted Textual Backdoor Attack: Model-Specific Misrecognition via Trigger Position and Word Choice by Taehwa Lee, Soojin Lee, Hyun Kwon

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Deep Learning Approach for Predicting Psychodiagnosis by Zouaoui Samia, Khamari Chahinez

“…By exploiting the power of convolutional neural networks (CNN), we propose a novel CNN-based natural language processing method without removing stop words for predicting psychiatric diagnoses capable of accurately classifying individuals based on their psychological data. …”
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Beam Data Validation during Transition from Flattened to Unflattened Beams in IMRT and VMAT Delivery: An Experimental Study by Pradeep Goswami, Punam Kumari, Brijesh Goswami, Rakesh Kumar Jain, Suresh Yadav, S Choudhary, Asiya Hilal, Kishore Singh

“…Introduction: The commissioning process for Intensity-Modulated Radiotherapy (IMRT) and RapidArc is very rigorous and tedious. …”
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Prediction of 90 day mortality in elderly patients with acute HF from e‐health records using artificial intelligence by Joconde Weller, Johann Gutton, Guillaume Hocquet, Leïla Pellet, Marie‐José Aroulanda, Amélie Bruandet, Didier Theis, Fabio Boudis, Romain Cador, Pierre Zweigenbaum, Anne Buronfosse, Pascal deGroote, Michel Komajda

“…Methods All HF‐related admissions from 2015 to 2020 in a single hospital were included in the model training. Comprehensive EHR data were collected 48 h after admission. Natural language processing was applied to textual information. …”
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Ensemble prediction modeling of flotation recovery based on machine learning by Guichun He, Mengfei Liu, Hongyu Zhao, Kaiqi Huang

“…With the rise of artificial intelligence (AI) in mineral processing, predicting the flotation indexes has attracted significant research attention. …”
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Flotation Test of a High-grade Secondary Copper Sulfide Ore from Serbia by Yuankun YANG, Yinying LIAO

“…The recommended process is simple and the index is excellent, which provides strong data support for the mine development.…”
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