Clinicians’ perspectives on integrating smartphone application data into routine alcohol dependency treatment: factors influencing implementation by Josefine Östh, Andreas Lundin, Peter Wennberg, Sven Andréasson, Anna-Karin Danielsson

“…Potential risks and concerns with the interventions were raised, including technical instability and data security. Discussion and conclusions The results of this study indicate that a breathalyser-coupled and a drink-counting smartphone application have potential to be supportive complements to alcohol dependency treatment. …”
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Exploration of the Application Rules and Clinical Significance of Acupoints in Acupuncture Treatment of Migraine Based on Data Mining [Letter] by Shen Z, Zhou C, Lin X

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A Multinomial Asymptotic Representation of Zenga's Discrete Index, its Influence Function and Data-driven Applications by Tchilabalo Abozou Kpanzou, Diam Ba, Gandasor Bonyiri Onesiphore Da, Gane Samb Lo

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Data-Driven R&D&I Management for Societal Impacts: Introduction and Application of AgroRadarEval by Daniela Maciel, Adriana Bin, Marie Ferré, James A Turner, Geraldo Stachetti Rodrigues, María Magdalena Costa, Miguel Sierra Pereiro, Juan Mechelk, Aurelle de Romemont, Kevin Heaune

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The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review by Xiao Zhou, Zhou Huang, Tian Xia, Xinmin Zhang, Zhixin Duan, Jie Wu, Guoqing Zhou

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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…Finally, both simulation data and real data are used to compare the accuracy of the various estimation methods.…”
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Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

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Understanding the constraints to the correct application of tilt derivative operation to a vertical prism in gravity data processing by Oluwatimilehin B. Balogun, Obafemi E. Bilesanmi, Mohamed Metwaly, Oluwatosin F. Akerele, Odunayo T. Ojo, Oluwaseyi A. Dasho

“…Analytical simulation of a buried 3D vertical square prism with known density contrast, depth to the top of the buried body, thickness and cross-section area has been done, and tilt angle derivative enhancement operation has been applied to the data in order to establish the constraints that could impede the correct application of tilt derivative operation on gravity data. …”
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A Method of Inverting Rock Grain Size Based on Nuclear Magnetic Resonance Logging Data and Application by Jinbo Wu, Yitao Hu, Hairong Zhang

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Utilization of the experimental data to test ionic water/graphene nanofluids for solar applications by means of CVFEM simulation by Abeer S. Alnahdi, Muhammad Sulaiman, Malik Zaka Ullah, Taza Gul

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Enhancing Efficiency and Reducing the Carbon Footprint of Cloud-Based Healthcare Applications through Optimal Data Preprocessing by El Aziz Btissam, Eddabbah Mohammed, Laaziz Yassin

“…This paper investigates the impact of data preprocessing on the performance, efficiency, and environmental footprint of AI models in cloud-based applications, focusing on a case study involving healthcare applications such as chronic disease detection. …”
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An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

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Bayesian inference of a spatially dependent semi-Markovian model with application to Madagascar Covid'19 data. by Angelo Raherinirina, Stefana Tabera Tsilefa, Tsidikaina Nirilanto, Solym M Manou-Abi

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Extended Application of Double Machine Learning in Corporate Financial Resilience Research: Based on Data Factor Marketization by Fangzhou Song, Yang Huang, Chengkun Liu

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Reckoning applications of Z-iteration: Data dependence and solution to a delay Caputo fractional differential equation by Salman Zaheer, Ankush Chanda, Hemant Kumar Nashine

“…Further, we attain results concerning stability, data dependence, and error accumulation of the Z-iterative scheme. …”
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A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature by C. T. Doherty, C. T. Doherty, W. Wang, H. Hashimoto, H. Hashimoto, I. G. Brosnan

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Multicomponent Stress–Strength Reliability with Extreme Value Distribution Margins: Its Theory and Application to Hydrological Data by Rebeca Klamerick Lima, Felipe Sousa Quintino, Melquisadec Oliveira, Luan Carlos de Sena Monteiro Ozelim, Tiago A. da Fonseca, Pushpa Narayan Rathie

“…To demonstrate the practical relevance of the proposed models, a real dataset is analyzed, focusing on the monthly water capacity of the Shasta Reservoir in California (USA) during August and December from 1980 to 2015. This application showcases the effectiveness of the derived expressions in modeling real-world data.…”
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Research and Application of Data-driven Forecast Method for Water Level Increment of Small and Medium-sized Rivers by DING Wu, LIN Hanxiong, WANG Hangang, ZHANG Wei, YANG Bin

“…Focusing on the forecast of flash flood disasters in small and medium-sized rivers,this paper adopts three data-driven forecast models to forecast the maximum water level increment.With Paitan Town,Zengcheng District,Guangzhou City as the research area,the mathematical modeling and accuracy evaluation of the three models are carried out.The analysis shows that the forecast accuracy of machine learning is the highest,but the forecast results are not interpretable.The forecast accuracy of the similarity analysis model is medium,and the prediction results have good cognition and interpretability.The overall prediction accuracy of the “rainfall-water level increment” relationship model is the lowest,but its operation is simple.The calculation of the similarity analysis model and machine learning model is relatively complex,relying on computer-aided calculation,and the results of the “rainfall-water level increment” relationship model can be plotted as graphs.Considering the forecast accuracy and convenience,multiple models such as the machine learning model and similarity analysis model can be applied for the forecast to improve the forecast accuracy if there is support from auxiliary equipment such as computers and mobile phone applications.Without support from computers and other basic equipment,the “rainfall-water level increment” relationship model can provide a convenient forecast method for flash flood forecast and early warning in small and medium-sized rivers.…”
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A New Comprehensive Well Logging Data Method for Evaluating Fracture Reservoir Productivity and Its Application by SHEN Qinyu, LI Shengqing, CUI Yunjiang, SU Yuanda, WANG Peichun, TANG Xiaoming

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Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Guofu Zhao

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