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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Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application by Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu

“…The study explores predictive modeling for the release variable in a dataset including 155 samples with over 1500 spectral variables. …”
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Modeling the Transport and Deposition of Suspended Solids Under Conditions of Low Water and Surge Phenomena in the Don River Estuary Area by Berdnikov Sergey, Sheverdyaev Igor, Kleshchenkov Alexey, Kulygin Valeriy, Likhtanskaya Nataliya

“…The spatiotemporal variability of the concentration and granulometric composition of suspended sediment depending on hydrological conditions is considered. …”
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Transcriptomic analysis of intracellular RNA granules and small extracellular vesicles: Unmasking their overlap in a cell model of Huntington's disease by Deepti Kailash Nabariya, Lisa Maria Knüpfer, Patrick Hartwich, Manuela S. Killian, Florian Centler, Sybille Krauß

“…In this study, we performed a comparative transcriptomic analysis of sEVs and RNA granules in an HD model. RNA granules and sEVs were isolated from an inducible HD cell model. …”
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The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model by Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li, Ji Luo

“…In this study, we integrated the Patch-generating Land Use Simulation (PLUS) model with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) framework to investigate LUCC dynamics and their implications for carbon storage across the Upper Yangtze River Basin (UYRB) between 2000 and 2020. …”
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Using 3D and 4D digital human modeling in extended reality-based rehabilitation: a systematic review by Mengdi Lu, Wim Saeys, Wim Saeys, Maria Maryam, Inva Gjeleshi, Hoda Nazarahari, Steven Truijen, Sofia Scataglini

“…The studies reveal positive impacts on functional (e.g., upper limb function, gait, balance, quality of life), physical (e.g., pain reduction, spasticity, joint range), psychological (e.g., depression, emotional regulation, body image), and general health outcomes (e.g., body composition, metabolic health).ConclusionDespite variability in study parameters, limited evidence suggests that 3D DHM in XR-based rehabilitation may enhance physical and psychological recovery across various pathologies. …”
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Muscle‐specific gene editing improves molecular and phenotypic defects in a mouse model of myotonic dystrophy type 1 by Mariapaola Izzo, Jonathan Battistini, Elisabetta Golini, Christine Voellenkle, Claudia Provenzano, Tiziana Orsini, Georgios Strimpakos, Ferdinando Scavizzi, Marcello Raspa, Denisa Baci, Svetlana Frolova, Spyros Tastsoglou, Germana Zaccagnini, Jose Manuel Garcia‐Manteiga, Genevieve Gourdon, Silvia Mandillo, Beatrice Cardinali, Fabio Martelli, Germana Falcone

“…Importantly, a persistent increase of body weight, improvement of muscle strength and body composition parameters were observed in treated animals. …”
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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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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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Soil property variability in a humid natural Mediterranean environment: La Rioja, Spain Varibilidad de las propiedades del suelo en ambiente mediterráneo húmedo: La Rioja, España V... by Raimundo Jiménez-Ballesta, Victoria Íñigo, Marisol S. Andrades, Juan I. Alonso-Martirena, Álvaro Marín

“…For example, many soil properties are directly used in the modelling of environmental processes such as global climate change. …”
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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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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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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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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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Response Surface Methodology Optimization of Wear Rate Parameters in Metallic Alloys by Blessing Ngozi Goodluck Aliemeke, Lucky Charles, Peace Omoregie, Abdulrazak Momodu, Christopher Jerry, Emmanuel Akpan

“…A mathematical model was developed, revealing a significant p-value of 0.043 in the ANOVA table, indicating the collective influence of the independent variables on wear rate at a significance level of 0.05. …”
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Application Of The Denitrification-Decomposition (DNDC) Model To Retrospective Analysis Of The Carbon Cycle Components In Agrolandscapes Of The Central Forest Zone Of European Russ... by Olga E. Sukhoveeva, Dmitry V. Karelin

“…We applied the process-based simulation model DNDC (DeNitrification-DeComposition) recommended  by UNCCC and world widely used.  …”
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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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Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial by Vicky Goh, Susan Mallett, Manuel Rodriguez-Justo, Victor Boulter, Rob Glynne-Jones, Saif Khan, Sarah Lessels, Dominic Patel, Davide Prezzi, Stuart Taylor, Steve Halligan

“…For our primary outcome, perfusion CT variables were added to the standard model as a composite (principal components) score. …”
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Nutrient Balance of Citrus Across the Mandarin Belts of India by Anoop Kumar Srivastava, Ambadas Dattatray Huchche, Leon-Etienne Parent, Suresh Kumar Malhotra, Vasileios Ziogas, Lohit Kumar Baishya

“…Our objective was to elaborate compositional nutrient diagnosis (CND) log-ratio standards accounting for nutrient interactions and the dilution the leaf tissue. …”
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Comparison between response surface methodology and Taguchi method for dyeing process parameters optimization in fabric manufacturing by empirical planning by D. Nikhila Sri, Rajyalakshmi Kottapalli, A. Pavani, Charankumar Ganteda, E. Gouthami, Assmaa Abd-Elmonem, Samah Abdelati Haroun, Syed M. Hussain, Mustafa Bayram, Abdulrazak H. Almaliki

“…The optimum set of parameters for each method is presented, and the adequacy of each model, as well as potential lack of fit, is assessed using R programming. …”
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