Similarities and differences in waste composition over time and space determined by multivariate distance analyses. by David J Tonjes, Yiyi Wang, Firman Firmansyah, Sameena Manzur, Matthew Johnston, Griffin Walker, Krista L Thyberg, Elizabeth Hewitt

“…NYC data largely conformed to trends from the 88 other waste composition studies and did not generally agree with EPA data sets. …”
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Thermo-oxidative degradation of graphite/epoxy composite laminates: Modeling and long-term predictions

“…Thermo-oxidative degradation of graphite/epoxy composite laminates due to exposure to elevated temperatures was characterized using weight loss and short beam strength (SBS) reduction data. …”
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The relationship between body composition parameters, anaerobic power, and jumping performance in basketball players by Muhammed Zahit Kahraman, Sedat Okut

“…Background and Study Aim. Body composition, anaerobic power, and jumping performance are important factors for athletic performance. …”
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Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach by Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Na Fei, Jingwan Zhang, Mark Morrison, Michael A. Kamm, Jun Yu, Francis Ka Leung Chan, Siew C. Ng

“…The aim of this study was to examine the impact of protocol variations on microbiome composition using metagenomic data sets from a single center. …”
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Woody Species Diversity, Composition, and Regeneration Status of Abbo Sacred Forest, Southern Ethiopia by Alemayehu Yigeremu, Mesfin Woldearegay

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Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

“…The performance evaluation showed that ML models effectively predicted friction behavior and wear behavior of magnesium-based hybrid composites using tribological test data. A comparison of model performances revealed that the Gradient Boosting Machine (GBM) provided superior accuracy compared to other machine learning models in predicting both wear loss and the coefficient of friction. …”
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Iron Ore Information Extraction Based on CNN-LSTM Composite Deep Learning Model by Haili Chen, Mengxiang Xia, Yaping Zhang, Ruonan Zhao, Bingran Song, Yang Bai

“…Magnetite collected from an iron ore mine in the Tangshan area is used as a pilot study, and its spectral data are used as the data source. The raw spectra are preprocessed Savitzky-Golay smoothing, jump point correction, and envelope removal. …”
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Investigating the mineralogical and geochemical composition of fluvial sediments of Watari river system, Kano, Nigeria by Abdullah Musa Ali, Mohammed Yerima Kwaya, Ahmed Alhassan Aminu

“…The variability in the mineral composition points toward different cycles of fluvial sedimentation, diverse provenance, and wide range of source materials.The geochemical data further buttresses the variability in provenance, wider geographic area of the sediments or re-deposition and reworking by fluvial actions.…”
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Fiber-reinforced composite post removal using guided endodontics: a case report by Changgi Cho, Hyo Jin Jo, Jung-Hong Ha

“…Although several techniques have been proposed to remove fiber-reinforced composite (FRC) post, no safe and efficient technique has been established. …”
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Using resistor network models to predict the transport properties of solid-state battery composites by Lukas Ketter, Niklas Greb, Tim Bernges, Wolfgang G. Zeier

“…In this work, a resistor network model is presented that successfully describes the transport phenomena in solid-state battery composites, when benchmarked against experimental data of the electronic, ionic, and thermal conductivity of LiNi0.83Co0.11Mn0.06O2-Li6PS5Cl positive electrode composites. …”
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Fatigue life prediction of polymer matrix composites containing initial delamination using thermography by Amir Mohammad Feizi, Fathollah Taheri-Behrooz

“…This study investigates the effect of initial delamination on the fatigue behavior and lifespan of composite laminates made of woven glass fabric and epoxy resin. …”
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Generation-3 Polyamidoamine Dendrimer-Silica Composite: Preparation and Cd(II) Removal Capacity by Augustus N. Ebelegi, Nimibofa Ayawei, Azibaola K. Inengite, Donbebe Wankasi

“…Kinetic data fit the Lagergren pseudo-second-order model and also follow the intraparticle diffusion kinetic model to an extent, which is an indication that the sorption process is controlled by both mechanisms: intraparticle/film layer and adsorption inside the pores/crevices of the composite. …”
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Creative Strategies in Music Composition Learning : A Literature Review on Stimulating Student Creativity by Tia Destiana Puri, Clarisa Jesika Korina Tiurmauli Hutapea, Yanti Nur Aprianti, Rita Milyartini

“…The research method used is a literature review of various pedagogical approaches in learning music composition. The sources of research data come from various journal articles, books, and scientific publications relevant to the topic of music composition learning strategies and student creativity development. …”
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Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…The embedded delamination was created by adding a thin fluoroplastic film of the required size to the composite package. Compression tests of such specimens were carried out, and data on the growth of interlayer defects were obtained. …”
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Composite Nano-Calcium-Based Material for Reinforcement and Protection of Earthen Ruins in Humid Environment by Xuan Huang, Chen Li, Xiaomeng Sun, Wanying Li

“…After the completion of a series of experiments, the applicability and compatibility of the composite nano-calcium-based material to strengthen the wet site soil was verified through data analysis, data collection, and mechanism discussion. …”
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Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

“…Therefore, construction of a composite indicator is crucial. Such an indicator can improve data management, enhance analysis, optimize resource utilization, and facilitate comparisons across different regions. …”
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Experimental investigation of effect of specimen thickness on fracture toughness of Al-TiC composites by M. S. Raviraj, C. M. Sharanaprabhu, G. C. Mohankumar

“…The fracture toughness KIC was obtained by plotting stress intensity factor versus thickness to width ratios of specimen data. The fracture toughness of these composites varied between 16.4-19.2 MPa?…”
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Nested spectral analysis of brain functional networks in depression based on inner composition alignment by Jiahao Ding, Xiaoyu Xie, Bincheng Fu, Jianchun Hua, Jun Wang

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Secondary Volatile Metabolite Composition in <i>Scorzonera pseudolanata</i> Grossh. Plant Parts by Aysel Özcan Aykutlu, Serdar Makbul, Kamil Coşkunçelebi, Fatih Seyis

“…This study represents the first detailed investigation into the secondary volatile metabolite composition of <i>S</i>. <i>pseudolanata</i>. It offers foundational data that may inform future in-depth research, thereby contributing to a broader understanding of the phytochemistry of this species.…”
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Changes in caddisflies community composition and distribution along 60 years timespan monitoring in Luxembourg by Alain Dohet, Sarah Vray, Lionel L’Hoste

“…Bearing in mind the uneven sampling procedure across periods, we aim to document changes in community composition and distribution through time including the nature of these changes (e.g. gains and losses of species). …”
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