Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 by Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng

“…Using the Google Earth Engine platform, more than 40,000 images from Landsat-5, Landsat 7 and Landsat-8 were integrated, and the annual surface reflectance was normalized based on the multi-band least squares regression and maximum normalized difference vegetation index composite method. An ensemble learning model trained using high-resolution Gao-Fen 2 satellite imagery was used to generate the FFC long time-series product. …”
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Relationship Among Macronutrients, Dietary Components, and Objective Sleep Variables Measured by Smartphone Apps: Real-World Cross-Sectional Study by Jaehoon Seol, Masao Iwagami, Megane Christiane Tawylum Kayamare, Masashi Yanagisawa

“…Models were adjusted for age, sex, and BMI. …”
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Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

“…The hierarchical model redistributes the variability: it achieves high motif fidelity at the cost of higher variability in the between-motif timings.…”
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Determination of The Mineral Composition of Foam-Mat Dried Ngu Powder Using Response Surface Methodology by Maduebibisi Ofo Iwe, Emmanuel Uduma, Anna Ngozi Agiriga

“…Regression models showed that the experimental variables had significant (p<0.05) effects on the dry Ngu powder's iron, zinc, calcium, sodium, phosphorus, potassium, and magnesium contents. …”
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Correlations Between Body Composition Indicators and Performance in Sprint and Agility Tests Among Handball Referees by Ștefan CIOBANU, Beatrice Aurelia ABALAȘEI

“…Objectives: This study aimed to investigate the correlations and regression models between body composition variables and performance in sprint and agility tests among handball referees. …”
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Dynamic changes in AI-based analysis of endometrial cellular composition: Analysis of PCOS and RIF endometrium by Seungbaek Lee, Riikka K. Arffman, Elina K. Komsi, Outi Lindgren, Janette Kemppainen, Keiu Kask, Merli Saare, Andres Salumets, Terhi T. Piltonen

“…In conclusion, the AI model can potentially improve endometrial histology assessment by accelerating the analysis of the cellular composition of the tissue and by ensuring maximal objectivity for research and clinical purposes.…”
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Body composition is associated with changes in health-related quality of life in patients with knee and/or hip osteoarthritis by Jérémie Sellam, Francis Guillemin, Bernard Mazières, Anne-Christine Rat, Patrice Fardellone, Willy Ngueyon Sime

“…Body composition variables were fat mass index (FMI (kg/m²)), percentage of fat mass, trunk to leg fat mass ratio (TFM/LFM) and skeletal muscle mass index (SMI (kg/m²)). …”
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The Association of Body Composition and Musculoskeletal Characteristics with Police Recruit Performance: A Cross-Sectional Study by Vanessa R. Sutton, Myles C. Murphy, Callum J. McCaskie, Paola T. Chivers, Nicolas H. Hart, Jodie L. Cochrane Wilkie, Garth Allen, Jack Dalla Via

“…Tactical performance was measured with a Physical Performance Evaluation, and cardiorespiratory fitness assessed using the Beep Test. Variables that were significant in univariate regressions progressed to generalised linear models, assessing relationships between measures and performance outcomes. …”
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Radiomic‐based biomarkers: Transforming age and body composition metrics into personalized age‐informed indices by Radin Alikhani, Steven R. Horbal, Amy E. Rothberg, Manjunath P. Pai

“…Since the conventional models of kidney function are correlated with age and body composition, the radiomic biomarkers representing age‐related changes in body composition may also serve as potential new imaging biomarkers of kidney function for personalized dosing. …”
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Is intraindividual reaction time variability an independent cognitive predictor of mortality in old age? Findings from the Sydney Memory and Ageing Study. by Nicole A Kochan, David Bunce, Sarah Pont, John D Crawford, Henry Brodaty, Perminder S Sachdev

“…Intraindividual variability of reaction time (IIVRT), a proposed cognitive marker of neurobiological disturbance, increases in old age, and has been associated with dementia and mortality. …”
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Assessment of Melon Fruit Nutritional Composition Using VIS/NIR/SWIR Spectroscopy Coupled with Chemometrics by Dimitrios S. Kasampalis, Pavlos Tsouvaltzis, Anastasios S. Siomos

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Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders by Chun-Ming Zhang, Wei-Hong Wu, Wei Xian, Wei Xian

“…The analysis encompasses temperature-induced self-restraint stresses, secondary stresses, and axial deformation in variable-section continuous composite girders. Key findings reveal that code-specified thermal stresses exhibit opposing polarity characteristics at specific locations compared to other models. …”
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White Coat: Origins, Composition, Semantics, Pragmatics, and Word-Formation Potential of Russian Phraseological Unit by T. V. Leontyeva

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Body composition of metabolically unhealthy normal-weight patients with aortic stenosis: a prospective cohort study by Shuangxiang Lin, Chenjia Liu, Xingfa Ding, Shuyue Wang, Jiaxing Wu, Xinhong Wang, Jianzhong Sun

“…Logistic regression was used to explore the relationships between variables and outcomes, and Cox regression models were applied to examine the effects of different parameters on patient prognosis. …”
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Novel Algorithm to Estimate Fat‐Free Muscle Volumes in Women Using the Urinary Deuterated‐Creatine Dilution Method by Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave‐Gassiot, Jane Cauley, Liang Shen, Eu‐Leong Yong

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Quantifying Temporal Dynamics in Global Cyber Threats: A GPT-Driven Framework for Risk Forecasting and Strategic Intelligence by Fahim Sufi, Musleh Alsulami

“…The framework decomposes the dataset into quarterly intervals and applies mathematical formulations to compute frequency shifts across categorical variables (attack types, industries, countries) and numerical variables (attack significance), followed by robust statistical validations (Chi-square and ANOVA tests), time-series forecasting via ARIMA, and the computation of a Quarterly Composite Index (QCI). …”
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Association between myosteatosis or sarcopenia based on abdominal CT and hypertension in systemic lupus erythematosus patients by Bowen Wang, Liping Zuo, Jinlei Fan, Wei Zhao, Yueming An, Wangshu Cai, Dexin Yu

“…Methods This was a retrospective study involving SLE patients enrolled from January 2017 to August 2023 and who underwent abdominal CT at the L3 level to track myosteatosis and sarcopenia based on the skeletal muscle mean radiodensity (SMD) and skeletal muscle index considered as binary and continuous variables. The association between these body composition measures and hypertension was tested using logistic regression analyses, while mediation modeling was used to assess the mediators. …”
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Failure analysis of hybrid fiber reinforced polymer composite tubes subjected to quasi-static compressive load: an experimental study by S. Sivalingam, T. P. Sathishkumar, L. Rajeshkumar, M. Sathishkumar

“…Results portray that the crash behaviour of the composite tubes was dependent on the number of holes drilled on the circumference and the analysis of variance results revealed that the interaction between all the process parameters affected the output variables. …”
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Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology by Milap G. Nayak, Reena D. Gamit

“…High R2 and R2adj values confirmed the effectiveness of a quadratic model in describing the effects of both single and interaction variables. …”
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Body fat percentage is a key factor in elevated plasma levels of caffeine and its metabolite in women by Przemysław Domaszewski, Mariusz Konieczny, Paweł Pakosz, Jakub Matuska, Anna Poliwoda, Elżbieta Skorupska, Manel Santafe

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