Compositional epistasis detection using a few prototype disease models. by Lu Cheng, Mu Zhu

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Compositional stratigraphy of clay‐bearing layered deposits at Mawrth Vallis, Mars by J. J. Wray, B. L. Ehlmann, S. W. Squyres, J. F. Mustard, R. L. Kirk

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Recent Advances in the Growth and Compositional Modelling of III–V Nanowire Heterostructures by Egor D. Leshchenko, Nickolay V. Sibirev

“…Nanowire heterostructures offer almost unlimited possibilities for the bandgap engineering and monolithic integration of III–V photonics with Si electronics. The growth and compositional modelling of III–V nanowire heterostructures provides new insight into the formation mechanisms and assists in the suppression of interfacial broadening and optimization of optical properties. …”
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The Compositional Styles Of A Legendary Theatrical Music Composer: Hubert Ogunde by Mary Taiwo Omotosho

“…Studies on Hubert Ogunde have focused more on dramaturgy with little attention on his music compositions. This study traces the musical background of Ogunde, the pioneer of Yoruba traditional theatrical music, in order to discover the source of his musical flair and taste, in identifying the compositional styles employed in his theatrical music. …”
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Chemical composition of skeletal muscle by Abrão Anghihan, Francisco B. De Jorge, Julinho Aisen

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Chemical composition of skeletal muscle by Abrão Anghihan, Francisco B. De Jorge, Julinho Aisen

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NUTRITIONAL COMPOSITION AND SENSORY EVALUATION OF BREAKFAST CEREAL FROM PEARL MILLET-COCONUT COMPOSITE FLOUR by Adebukola T. OMIDIRAN, Esther O. UZOMA, Adekola F. ADEGOKE, Olajide P. SOBUKOLA

“…Nutritional composition [proximate composition, vitamins (A, C, B1, B9, B3), mineral (Calcium, Zinc, Iron, Potassium, Magnesium)] and sensory acceptability of breakfast cereal from pearl millet-coconut composite flour were evaluated in this study. …”
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Data mining of rice genome by FAN Long-jiang, GUO Xing-yi

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Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series by Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, Patrick Hostert

“…We considered separate and joint use of both data archives and analyzed the spatio-temporal availability of composites during each calendar year and pixel-specific growing season across a variety of time windows and hypothesizing data interpolation. …”
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Robust biochar yield and composition prediction via uncertainty-aware ResNet-based autoencoder by Yali Zhang, Bowen Lei, Amirhossein Mahdaviarab, Xiao Wang, Zong Liu

“…This paper presents a ResNet-based autoencoder model that utilizes biomass properties and pyrolysis conditions to more accurately and robustly predict biochar yield and composition. The developed model has the advantage of addressing the common data uncertainty concerns in training data. …”
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Composite Tor traffic features extraction method of webpage in actual network flow based on SDN by Hongping YAN, Qiang ZHOU, Shihao WANG, Wang YAO, Liukun HE, Liangmin WANG

“…Website fingerprinting (WF) methods for Tor webpage traffic are often based on the separated Tor traffic or even the separated Tor webpage traffic.However, distinguishing Tor traffic from the original traffic of the actual network and Tor webpage traffic from the Tor traffic costs amount of computation, which is more difficult than the WF attack itself.According to the current architecture of the Internet and the characteristics of network traffic converging to regional central nodes, the bi-directional statistical feature (BSF) was proposed for distinguishing Tor traffic through the intra-domain global perspective provided by the SDN structure of the central node and the node information disclosed by the Tor network.Furthermore, a hidden feature extraction method for Web traffic based on lifted structure fingerprinting (LSF) was proposed, and a composited Tor-webpage-identification traffic feature (CTTF) was proposed based on BSF and LSF deep features.For solving the problem of traffic training data scarcity, a traffic data augmentation method based on translation was proposed, which made the augmented traffic data as consistent as the Tor traffic data captured in the real working environment.The experimental results show that the identification rate based on CTTF can be improved by about 4% compared with using only the original data features.When there is less training data, the classification accuracy is improved more obvious after using the traffic data augmentation method, and the false positive rate can be effectively reduced.…”
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Influence of the composition of composite mixtures with a reduced gluten content on the rheological properties of the dough based on their basis by Ju. V. Ushakova, E. M. Paskova, G. E. Rysmukhambetova, T. B. Kulevatova

“…The article presents experimental data on the assessment of the rheological properties of dough from new types of flour, formed on the basis of cumulative curves using the Mixolab device. …”
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Comparative evaluation of different methods of saliva decontamination on microshear bond strength of composite to composite: An in vitro study by Sara Ordooei Javan, Reza Movahedian, Somayeh Hosseini Tabatabaei

“…Background: During the incremental technique of composite restorations, it is possible to be exposed to contamination of the oral environment. …”
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Temporal generalization in evergreen leaf type classification using tailored Sentinel-2 composites by Peter Hofinger, Jan Dempewolf, Simon Ecke, Hans-Joachim Klemmt

Subjects: “…Compositing…”
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Effect of variation in gridded cattle diet composition on estimated enteric methane emissions in data sparse tropical regions by J.Y. Mutua, A.J. Duncan, T.P. Robinson, S. Fraval, A.M.O. Notenbaert, G.R. Watmough

“…However, existing data have uncertainties resulting from data collection challenges and the assumption of a constant annual distribution of diet composition. …”
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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

“…Our study aimed to assess the potential of multimodal data (hyperspectral vegetation indices (VIs), thermal indices, and canopy state variables) and ML algorithms to predict grapevine yield components and berry composition parameters. …”
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Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study by Dohyun Chun, Seo Jung Kim, Junghwan Suh, Jihun Kim

“…Conclusions This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.…”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. …”
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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

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