Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning by Yi-Hsun Chang, You-Lun Zhang, Cheng-Hao Cheng, Shu-Han Wu, Cheng-Han Li, Su-Yu Liao, Zi-Chun Tseng, Ming-Yi Lin, Chun-Ying Huang

“…Accurate identification of active-layer compositions in organic photovoltaic (OPV) devices often relies on invasive techniques such as electrical measurements or material extraction, which risk damaging the device. …”
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Evaluation of the relationship between body composition and aerobic fitness in youth soccer players by Ö. Nalbant, K. Özer

“…Results : Although all variables were included in the model, the BMI was considered the greatest explanatory factor for fatness. …”
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Board risk committee composition and risk-taking of deposit money banks in Nigeria by Ismaila Yusuf, Idris Ahmed Aliyu, Mamdouh Abdulaziz Saleh Al-Faryan

“…The risk taking capability of a financial institution is largely a function of its risk management committee composition. While studies have examined the effect of risk committee dynamics on several organisational variables, few studies examined the relationship between risk committee composition and the risktaking behaviours of banks. …”
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Uncertainty analysis in the design of Type-IV composite pressure vessels for hydrogen storage by Yao Koutsawa, Lyazid Bouhala

“…Sobol’ indices were used to assess the direct and total influence of the uncertain parameters on the BP variability, guiding optimization in composite pressure vessel design. …”
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STATISTICAL OPTIMIZATION OF CULTIVATION CONDITIONS FOR SACCHAROMYCES BOULARDII VIA CENTRAL COMPOSITE DESIGN by Guowei Shu, Xin Yang, Li Chen, Dan Huang, Zhangteng Lei, He Chen

“…Therefore, the aim of this study was to optimize the cultivation conditions of S. boulardii by single factor experiment and central composite design of Response Surface Methodology (RSM). …”
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Analysis of Mineral Composition and Isotope Ratio as Part of Chemical Profiles of Apples for Their Authentication by Boris Krška, Martin Mészáros, Tomáš Bílek, Aleš Vávra, Jan Náměstek, Jiří Sedlák

“…However, their high variability within particular districts complicates the resolution of the LDA model. …”
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High Spatial Resolution in Total Water Storage Variations Inferred From GPS: Case Study in the Great Lakes Watershed, US by Shuo Zheng, Zizhan Zhang, Bridget R. Scanlon, Haoming Yan, Alexander Y. Sun, Ashraf Rateb, Yan Li

“…The average annual amplitude of TWSGPS on land reaches 82.0 mm, greatly exceeding estimates from GRACE/GFO (∼48.0 mm) and composite hydrological model outputs (∼62.0 mm). The seasonal groundwater fluctuations inferred from GPS have peak‐to‐peak amplitudes of ∼40 km3 with the maximum around September. …”
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Fault Detection and Isolation Strategy for Brake Actuation Units of High-Speed Trains Under Variable Operating Conditions by Jingxian Ding, Tianyu Xia, Xinzhou Wu, Shize Zheng, Tianyi Wang

“…Firstly, the structural composition and working principle of the BAU were introduced, and its typical failure modes and effects were analyzed. …”
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Resistance training as a modulator of inflammation and cognition by Jacqueline Goodrich, Jamie L. Tartar, Jonathan Banks, Francesca Leon, Jose Antonio

“…Pearson correlations were also conducted to explore the relationship between biomarkers (CRP, IL-6, cortisol) and cognitive outcomes, with secondary analysis examining the impact of PSQI and lifestyle variables on the study’s results through within-subjects Pearson correlations.Results Paired t-tests revealed significant improvements in cognitive performance: Flanker (t(14) = 5.27, p < .001), Stroop (t(14) = -4.61, p < .001), and composite cognition (t(14) = -5.11, p < .001), along with increased muscle mass (t(14) = -4.21, p < .001). …”
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Impact of a 15-week ability-based training program on body composition and physical fitness in university-based fire academy recruits by Annette Zapp, Kyla Schults, Krissy Sanchez, Paige Sutton, Amanda Ehlrich, Jay Dawes

“…No multivariate outliers were detected in the model; significance was set at p < 0.05.Results Significant improvements (p ≤ 0.001) in sKM and BF% were observed between testing sessions 1 and 2, with statistically insignificant improvements between testing sessions 2 and 3, suggesting the overall program was impactful in providing positive body composition changes. …”
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Texture Profile Analysis of Sliced Cheese in relation to Chemical Composition and Storage Temperature by Yuanrong Zheng, Zhenmin Liu, Beihong Mo

“…Multivariate logistic regression models were established to describe the quantitative relationships of textural properties (dependent variables) to chemical composition and storage temperature (independent variables) of sliced cheeses. …”
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Turbidity and suspended sediment relationship based on sediment composition and particle size distribution by Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim

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Development of Durian Rind/Polypyrrole Composite and Its Application in Removing of Anionic Dyes by Yan Wang, Zijing Dai, Jiaqi Zha, Wenqing Wei

“…The adsorption of anionic dyes on DR/PPy conforms to the pseudo-second-order kinetic and Langmuir isotherm models with maximum adsorption capacity (qm,max) of 193.05, 171.23, and 147.71 mg g-1 for methyl orange, sunset yellow, and amaranth, respectively. …”
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Resin-based adhesives, composites, and luting agents: Investigation of article citations and altmetrics by Fernanda LAUER, Rodrigo Rohenkohl SILVA, Leticia Regina SARTORI, Kauê COLLARES, Rafael SARKIS-ONOFRE, Clóvis FAGGION JUNIOR, Rafael Ratto de MORAES

“…Data were analyzed using stepwise backward quasi-Poisson regression models (p < 0.05). A total of 707 articles were included, which evaluated restorative composites (58.3%), adhesives (27.2%), and luting agents (19.5%). …”
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Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District by Monica Zanini, Uta Heiden, Leonardo Pace, Raffaele Casa, Simone Priori

“…The procedure to obtain the SRC was carried out following the Soil Composite Mapping Processor (SCMaP) methodology. The Sentinel-2 bands of the SRC showed strong correlations with soil features, making them very suitable explicative variables for regression kriging. …”
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Characterization of the mean and extreme Mediterranean cyclones and their variability during the period 1500&thinsp;BCE to 1850&thinsp;CE by O. Doensen, O. Doensen, M. Messmer, M. Messmer, M. Messmer, W. M. Kim, W. M. Kim, C. C. Raible, C. C. Raible

“…Although they have been extensively studied using global and regional climate models, their spatial and temporal variability in the Late Holocene is poorly understood. …”
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Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics by Lyazat Naizabayeva, Saberikamarposhti Morteza, Nurgul Seilova

“…This study presents a comprehensive quantitative analysis of the interplay between meteorological variables and soil conditions over the period 2018&#x2013;2023 in the Almaty region. …”
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A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory by Bo Wang, Qikai Li, Zefan Xu, Shibin Niu, Xiangtian Nie

“…It determines the evaluation level and attribute intervals for each individual indicator, and subsequently calculates the interval values for both the individual indicators and the composite attribute. Finally, a case study demonstrates the model’s effectiveness and practical applicability.…”
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Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems by Anning WANG, Rongqi FAN, Yang ZHANG, Jiachao LIU, Wei HU, Shimin ZHONG, Ke JIA

“…The fault characteristics of the new distribution system have changed significantly under the high proportion of new energy access, with variable operation modes and limited short-circuit currents. …”
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The effect of preheating resin composites on surface hardness: a systematic review and meta-analysis by Ali A. Elkaffas, Radwa I. Eltoukhy, Salwa A. Elnegoly, Salah H. Mahmoud

“…Moreover, the microhardness of the Z250 resin composite on the bottom surface in the preheated mode (71.8 ± 3.8) was higher than in the non-preheated mode (57.5 ± 5.7, p < 0.001).ConclusionsAlthough the results reported in the reviewed studies showed great variability, sufficient scientific evidence was found to support the hypothesis that preheating can improve the hardness of resin composites.…”
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