Public Opinion Risk Early Warning Model on Government-Citizen Interaction Data: A Perspective on Evidence-based Decision Making by ZHANG Liman, WU Yueting, CHENG Wenjing, LIU Tianyi, SUN Xinxin

“…[Purpose/Significance] The study aims to construct an early warning model of public opinion risks based on government-citizen interaction data, guided by evidence-based decision-making theory. …”
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Comparative Performance of Autoencoders and Traditional Machine Learning Algorithms in Clinical Data Analysis for Predicting Post-Staged GKRS Tumor Dynamics by Simona Ruxandra Volovăț, Tudor Ovidiu Popa, Dragoș Rusu, Lăcrămioara Ochiuz, Decebal Vasincu, Maricel Agop, Călin Gheorghe Buzea, Cristian Constantin Volovăț

“…<b>Methods:</b> This retrospective analysis utilized clinical data from 77 patients treated at the “Prof. Dr. Nicolae Oblu” Emergency Clinic Hospital-Iasi. …”
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Relationship Between Bio-Climatic and Milk Composition Data of Dairy Sheep Farms: Comparison Between THI and Multivariate Weather Index by Rita Marras, Alfredo Pauciullo, Alberto Cesarani, Antonio Natale, Paolo Oppia, Nicolò P. P. Macciotta, Giustino Gaspa

“…In this work, a total of 218,170 records belonging to 4562 dairy sheep farms were merged with the meteorological data provided by 60 meteorological stations located on Sardinia Island (Italy). …”
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Similarity join over multiple time series under Dynamic Time Warping by Bui Cong Giao

“… Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time series. …”
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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…This approach offers a novel baseline for survival prediction in colorectal cancer by leveraging spatial encoding of clinical features, potentially enhancing prognostic accuracy and interpretability. ObjectiveThis study aimed to develop and evaluate a deep learning model using EMR data to predict 5-year overall survival in patients with colorectal cancer and to examine the clinical interpretability of model predictions using explainable artificial intelligence (XAI) techniques. …”
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Similarity join over multiple time series under Dynamic Time Warping by Bui Cong Giao

“… Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time series. …”
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Predicting Patients&#x2019; Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…This study uses advanced data mining techniques to accurately estimate and predict patients&#x2019; likelihood of returning for future appointments by assessing their satisfaction levels. …”
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Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

“…Their creativity in this domain stems from an understanding of these actors and networks, leading them to adapt their goals or strategies to align with data-driven objectives. For instance, they may aim to generate income through educational content on platforms like YouTube or others. …”
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Identification of maize leaf diseases using red, green, blue-based images with convolutional neural network (CNN) and residual network (ResNet50) models by Basani Lammy Nkuna, Khaled Abutaleb, Johannes George Chirima, Solomon W. Newete, Adriaan Johannes van der Walt, Adolph Nyamugama

“…Recent advances in computer vision and deep learning techniques have shown promise in improving image recognition for crop disease detection. …”
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Data Analysis in Newly Developed Milk Sensor Platforms: Good Practices, Common Pitfalls, and Hard-Earned Lessons from Field Application by Francesco Martelli, Claudia Giacomozzi, Roberto Dragone, Chiara Frazzoli, Gerardo Grasso

“…Moreover, newly introduced techniques require the development of sound methodologies for data collection, analysis, and statistical process control. …”
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Differences in backcourt forehand clear stroke between novice players and experienced badminton players: based on body segment acceleration data by Hui Huang, Zhenxiang Guo, Minchen Zhao, Meng Liu, Jin Dai

“…Abstract Background Backcourt forehand clear stroke is a fundamental technique in badminton, but the biomechanical differences between novice and experienced players are not fully understood. …”
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The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course by Denny Kurniadi

“…This study aims to explore the potential application of the Naive Bayes Method in predicting the determination of final project topics for students within the context of project-based learning (PBL) in the Data Mining course. …”
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What is a recognized mechanism for transforming big data analytics into firm performance? A meta-analysis from cultural view by Zongyuan Liu, Harcharanjit Singh Mahinder Singh, Fatema Al Shibli

“…Abstract Big data analytics (BDA) is widely adopted by many firms to gain competitive advantages. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…Minimum oxygen saturation value during sleep (SatMin), the percentage of total sleep time the patient spent with oxygen saturation below 90% (T90), and patient anthropometric data were also considered as inputs to the models. …”
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Intensified Convection Heat Transfer of Single-Row Bunch of Finned Tubes in an Air Stream: Experimental Study and Generalization of the Obtained Data by A. B. Sukhotskii, G. S. Marshаlоvа

“…The intensification of a heat transfer has been arranged in a stream of heated air over an experimental bunch by means of two types of exhaust shaft i.e. the one with adjustable height and the one with the adjustable section through passage. The aim of the work was to perform an experimental study and to summarize the data of a heat transfer of the single-row bunches consisting of bimetallic finned tubes under the intensified (mixed) air convection and also to develop an engineering method of calculation of single-row recirculation air heaters. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…Despite the increased utilization of immunotherapy in clinical practice, few studies have investigated the perceptions about its use by analyzing social media data. ObjectiveThis study aims to use BERTopic (a topic modeling technique that is an extension of the Bidirectional Encoder Representation from Transformers machine learning model) to explore the perceptions of online cancer communities regarding immunotherapy. …”
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Harmonizing ground and UAV hyperspectral data: A novel spectral correction method for maximizing estimation models and datasets of ground hyperspectral by Zhonglin Wang, Pengxin Deng, Kairui Chen, Ying Xiong, Feng Yang, Cheng Wang, Zhixin Li, Biao Li, Yongjian Sun, Zongkui Chen, Zhiyuan Yang, Jun Ma

“…We proposed a spectral correction method for harmonizing non-imaging hyperspectral and hyperspectral image data. Estimation models of canopy nitrogen content (CNC) were developed using machine learning algorithms with non-imaging hyperspectral, hyperspectral images, and corrected hyperspectral datasets. …”
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Awake Flexible Bronchoscopy Intubation Practice Among Otorhinolaryngology Surgery: An Observation Study Based on Practice Video Recordings and Clinical Data by Abdul M, Feng L, Yi X, Zhuang Y, Wang Y, Jiao J, Li SS, Han Y, Li W

“…Mannan Abdul,1,&amp;ast; Lili Feng,1,&amp;ast; Xiuwen Yi,1 Yan Zhuang,1 Yingjie Wang,1,2 Jiali Jiao,3 Shuang Shuang Li,1 Yuan Han,1 Wenxian Li1 1Department of Anesthesiology, Eye &amp; ENT Hospital of Fudan University, Shanghai, People’s Republic of China; 2School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China; 3Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Wenxian Li; Yuan Han, Department of Anesthesiology, Eye &amp; ENT Hospital, Fudan University, 83 Fenyang Road, Xuhui District, Shanghai, 200031, People’s Republic of China, Tel +86-21-64377134-2955, Fax +86-21-64377151, Email wenxian.li@fdeent.org; yuan.han@fdeent.orgBackground: Patients with airway pathologies are at higher risk for difficult intubation, making Awake flexible bronchoscopy intubation (AFBI) an essential technique. This study aimed to describe the baseline characteristics, procedural details, and outcomes of AFBI regarding otorhinolaryngology surgery.Methods: This single-centre, observational study included 147 adult patients who underwent a standardised AFBI protocol for otorhinolaryngology surgery patients at Eye &amp; ENT Hospital of Fudan University between January 1, 2022 and July 31, 2023. …”
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Feature-based ensemble modeling for addressing diabetes data imbalance using the SMOTE, RUS, and random forest methods: a prediction study by Younseo Jang

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Exploring the Link Between Energy Consumption, Economic Growth, and Ecological Footprint in the Major Importers of Poland Energy: A Panel Data Analysis by Mohammad Tawfiq Noorzai, Aneta Bełdycka-Bórawska, Aziz Kutlar, Tomasz Rokicki, Piotr Bórawski

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