Evaluating the Acceptance and Success of Mobile Banking Systems Using a Combination of UTAUT2 and Delone & McLean Models by Novrinda Khairun Nisak, Ali Ibrahim, Ermatita

“…The research employed the SemPLS method, chosen due to its ability to handle complex models with multiple latent variables and assess intricate relationships between constructs. …”
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A novel radiomics model combining GTVp, GTVnd, and clinical data for chemoradiotherapy response prediction in patients with advanced NSCLC by Ya Li, Ya Li, Ya Li, Ya Li, Min Zhang, Min Zhang, Min Zhang, Min Zhang, Yong Hu, Dan Zou, Bo Du, Youlong Mo, Tianchu He, Mingdan Zhao, Benlan Li, Benlan Li, Benlan Li, Benlan Li, Ji Xia, Ji Xia, Ji Xia, Ji Xia, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Fangyang Lu, Bing Lu, Bing Lu, Bing Lu, Jie Peng, Jie Peng, Jie Peng, Jie Peng

“…The multimodal composite model (integrating GTVp, GTVnd, and clinical parameters) significantly outperformed the GTVp-only model, with a training AUC of 0.862 and validation AUC of 0.863, demonstrating superior predictive performance for concurrent chemoradiotherapy response in this patient population.…”
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Spatiotemporal Characteristics, Causes, and Prediction of Wildfires in North China: A Study Using Satellite, Reanalysis, and Climate Model Datasets by Mengxin Bai, Peng Zhang, Pei Xing, Wupeng Du, Zhixin Hao, Hui Zhang, Yifan Shi, Lulu Liu

“…Finally, we developed a prediction model for burned areas, leveraging the strong correlation between the FFMC and burned areas. …”
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New approach methodologies for in vitro toxicity screening of nanomaterial using a pulmonary three-dimensional floating extracellular matrix model by Soojin Kim, Mi-Sun Choi, Hyun Jegal, Min Beom Heo, Minjeong Kwak, Hyun Kyong Shon, Seungwoo Song, Tae Geol Lee, Ji-Ho Park, Dong Woo Lee, Seokjoo Yoon, Jung-Hwa Oh

“…Using 20 nm silica nanoparticles (SiNPs), we assessed cell viability and nanoparticle uptake in both serum-containing and serum-free culture media. While the 2D model showed high SiNPs toxicity regardless of the media composition, the pulmonary 3D floating ECM model demonstrated variable toxicities that depended on the SiNPs behaviors under different conditions. …”
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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

“…The purpose of the tensor decomposition is to acknowledge significant associative patterns over time across entities and variables assessed at this level, leading to three clear temporal moments: growth, crisis and recovery. …”
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Inequality in opportunities for utilizing community-based care services among the elderly in China – an analysis based on the “circumstance-effort” perspective by He Jiang, Yanshuo Huang

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Relación de la fuerza, potencia y composición corporal con el rendimiento deportivo en nadadores jóvenes de la Región Metropolitana de Chile (Relationship of strength, power, and... by Carlos Véliz Véliz, Fernando Maureira Cid, Marcela Jaurés Rodríguez

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Assessment of Large‐Scale Reservoirs' Impact on the Local Precipitation by Han Zhou, Jun Qiu, Mengjia Li, Houliang Lu, Fangfang Li

“…Instead of assuming that the natural variability of the contrast region and the study region is identical, this study develops an interpretable machine learning model to investigate relationships between precipitation‐influencing factors and precipitation itself, including both stable components (sum of trend and seasonality from STL decomposition) and random components (residuals after removing trend and seasonality), which is then used to forecast natural precipitation in the absence of reservoir operation. …”
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Crop Model Ensemble Averaging: A Large But Underappreciated Uncertainty Source for Global Crop Yield Projections Under Climate Change by Xiaomeng Yin, Guoyong Leng, Jiali Qiu, Xiaoyong Liao, Shengzhi Huang, Jian Peng

“…Further uncertainty decomposition analysis shows that ensemble averaging methods contributes to 39%–87% of total uncertainties for global yield projections, which is even higher than climate models. …”
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Seasonal and interannual variations of soil heterotrophic respiration and autotrophic respiration in subtropical forests of southeast China: independent process-based models by Yibo Yan, Xiujun Wang, Georg Wohlfahrt, Ni Huang

“…Here, we used observational data to develop independent models for both soil heterotrophic and autotrophic respiration in the subtropical forests of southeast China, and validated the models using independent field data. …”
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The impact of internet use on the health status of the older adults in China: a chain mediating model of social interaction and physical exercise by Jiangwei Hu, Haoxian Mai, Chunyun Tan, Yingying Du

“…The dependent variable was health status, measured by a composite score of self-assessed health, physical health, and mental health. …”
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Association between continuous device-based physical activity monitoring over six months and cardiorespiratory, metabolic and body composition outcomes in post-surgery cancer survi... by Christian Leps, Christian Bischoff, Ines Gockel, Uwe Tegtbur, Stefan Kwast, Christoph Pökel, Johannes Voß, Hans-Jürgen Rinser, Roberto Falz, Martin Busse

“…Dependent variables included cardiorespiratory outcomes, body composition, metabolic biomarkers, and fatigue. …”
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A frequentist one-step model for a simple network meta-analysis of time-to-event data in presence of an effect modifier. by Matthieu Faron, Pierre Blanchard, Laureen Ribassin-Majed, Jean-Pierre Pignon, Stefan Michiels, Gwénaël Le Teuff

“…While meta-regression performed better than contrast-based only, it demonstrated a large variability in estimated TE. In the real data example, Cox and Poisson IPD-based models gave similar estimations of the model parameters. …”
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Structural Model of Factors Affecting the Use of Organic Fertilizers by Rice Farmers during Rice (Oryza sativa) Cultivation in Dezful County by Zahra Eskanadari, Moslem Saavri, Masoud Yazdanpanah

“…The form and content validity of the questionnaire was confirmed by experts' opinion and its reliability was confirmed through Cronbach's alpha and composite reliabilityResults and DiscussionThe results of the structural equation modeling research showed that the variables of self-efficacy (ƛ=0.257; P=0.000), action guide (ƛ=0.222; P=0.000), perceived intensity (ƛ=0.121; P=0.035) and perceived sensitivity (ƛ= 0.100; P= 0.046) and perceived benefits (ƛ= 0.319; P= 0.000) have a positive and significant effect on the use of organic fertilizers among rice farmers in Dezful County. …”
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Estimating lateral nitrogen transfers over the last century through the global river network using a land surface model by M. Ma, H. Zhang, R. Lauerwald, P. Ciais, P. Regnier

“…<p>Lateral nitrogen (N) transport from land to oceans through rivers is an important component of the global N cycle. We developed a new model of this aquatic system, called LSM_Nlateral_Off (Land Surface Model Nitrogen lateral Offline), which simulates the routing of water in rivers, and the pertaining transport of dissolved inorganic N (DIN), dissolved organic N (DON), and particulate organic N (PON) as well as the accompanying biogeochemical processes of DON and PON decomposition and denitrification during transit from land to oceans through the global river network. …”
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Analysis of imperfect interfaces in cobalt ferrite plates using a linear spring model: a comparative study with terfenol-D by Seema, Abhinav Singhal

“…The comparative study of different piezomagnetic models and the incorporation of heterogeneity and interface conditions contribute to the originality of the research.…”
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Risk-Adjusted Estimation and Graduation of Transition Intensities for Disability and Long-Term Care Insurance: A Multi-State Model Approach by Beatriz A. Curioso, Gracinda R. Guerreiro, Manuel L. Esquível

“…To illustrate the proposed framework, we simulate a dataset with individual risk profiles and model trajectories, mirroring Portugal’s demographic composition. …”
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Quantitative Detection of Water Content of Winter Jujubes Based on Spectral Morphological Features by Yabei Di, Huaping Luo, Hongyang Liu, Huaiyu Liu, Lei Kang, Yuesen Tong

“…After fusing the spectral morphological features, the partial least squares modeling effects were all improved. The optimal model was the fusion model at a center wavelength of 1146 nm with a correlation coefficient of 0.9942 for the calibration set and 0.8698 for the prediction set. …”
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Predicting the occurrence of probable sarcopenia in middle-aged and elderly patients with coronary artery disease: development and validation of a clinical model by Xiaolan Sun, Jia Xu, Feier Chen, Haiyan Lei, Wei Chen, Fang Ding, Xueping Li

“…A multifactorial logistic regression model was employed to discern the independent variables that significantly influence the occurrence of handgrip strength reduction among patients suffering from coronary artery disease. …”
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Machine learning model interpretability using SHAP values: Applied to the task of classifying and predicting the nutritional content of different cuts of mutton by Li Wang, Xuchun Sun, Jing Liang, Zhiyuan Ma, Fei Li, Shengyan Hao, Baocang Liu, Long Guo, Xiuxiu Weng

“…SHAP value analysis revealed that lipid-related variables and wavelengths in the 2300–2500 nm region were major contributors to the model. …”
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