Model Evaluation the Effect of Size, Shape and Surface Condition of Apatite Nanocrystals on the Deviation of Ca / P ratio from stoichiometric by S.N. Danilchenko

“…The causes of Са / Р ratio deviation in biological apatites from stoichiometric one were discussed. By the simple model evaluation Са / Р ratio was shown to deviate from stoichiometric one because of small sizes of crystals, and peculiarities in chemical composition of their facets. …”
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Red, green, and blue model assessment and AQbD approach to HPTLC method for concomitant analysis of metformin, pioglitazone, and teneligliptin by Pintu Prajapati, Pooja Patel, Dhrumi Naik, Anzarul Haque, Shailesh Shah

“…Critical method parameters and response variables were modeled using the response surface modeling approach, which relies on the central composite design. …”
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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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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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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

“…Abstract Alterations in land use and land cover (LUCC) play a fundamental role in influencing the variability of ecosystem carbon storage. Evaluating how land use dynamics affect carbon sequestration and projecting future carbon storage scenarios are essential steps toward meeting China’s dual carbon objectives. …”
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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

“…Abstract Background Myotonic dystrophy type 1 (DM1) is a genetic multisystemic disease, characterised by pleiotropic symptoms that exhibit notable variability in severity, nature and age of onset. The genetic cause of DM1 is the expansion of unstable CTG‐repeats in the 3′ untranslated region (UTR) of the DMPK gene, resulting in the accumulation of toxic CUG‐transcripts that sequester RNA‐binding proteins and form nuclear foci in DM1 affected tissues and, consequently, alter various cellular processes. …”
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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

“…Clinical information was analysed with univariate and multivariate logistic regression to identify significant clinical variables. Five models were developed and evaluated, incorporating GTVp, GTVnd, and clinical data.ResultsThe GTVp-based radiomics model achieved an area under the curve (AUC) of 0.855 in the training cohort and 0.775 in the validation cohort. …”
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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

“…Secondly, the multiple regression terms with high significance levels were used as the characteristic variables to be fused with the extracted characteristic wavelength variables for the data fusion. …”
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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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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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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

“…The results revealed distinct seasonal variability, with the maximum burned area extent and intensity occurring during the March–April period. …”
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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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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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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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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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