Identification and Quantitation of Flavanols and Proanthocyanidins in Foods: How Good are the Datas? by Harold H. Schmitz, Mark A. Kelm, John F. Hammerstone

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HIV-Envelope–Dependent Cell-Cell Fusion: Quantitative Studies by Leonor Huerta, Nayali López-Balderas, Evelyn Rivera-Toledo, Guadalupe Sandoval, Guillermo Gómez-Icazbalceta, Carlos Villarreal, Edmundo Lamoyi, Carlos Larralde

“…We used lymphocytic cells transfected for the expression of the HIV-envelope (Env) glycoproteins to develop a method for the direct quantification of fusion events by flow cytometry (Huerta et al., 2006, J. …”
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Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI by Yongwei Yuan, Xinsheng Wang, Fang Yin, Jinyan Zhan

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A Semantic Community Detection Algorithm Based on Quantizing Progress by Xu Han, Deyun Chen, Hailu Yang

“…As the semantic model is LDA model, we use the Gibbs sampling method that can make quantitative parameters map from semantic information to semantic space. …”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…An effective solution to this issue is to use quantized neural network (QNN) models to remove the burden of full-precision weights and activations. …”
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A New Scalar Quantization Method for Digital Image Watermarking by Yevhen Zolotavkin, Martti Juhola

“…A new technique utilizing Scalar Quantization is designed in this paper in order to be used for Digital Image Watermarking (DIW). …”
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Single Laboratory Validation of Four Methods for Quantification of HMF in Honey by Elif Yıldız, Abdullah Tahir Bayraç

“…Validated methods have been required for effective and specific detection and quantification of HMF in food samples. In this study, a single laboratory validation study was conducted on four quantification methods: direct spectral analysis, High Performance Liquid Chromatography (HPLC) analysis, Seliwanoff and Winkler methods. …”
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Quantitative estimates for perturbed sampling Kantorovich operators in Orlicz spaces by Costarelli Danilo, De Angelis Eleonora, Vinti Gianluca

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Joint quantification of transmission dynamics and diagnostic accuracy applied to influenza by Hiroshi Nishiura

“…Our analyses of simulated data and data from the empirical observation of interpandemic influenza A (H1N1) from 2007-08 in Japan indicate that the proposed approach permits a more precise quantification of the transmission dynamics compared to methods that rely on test positive cases alone. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

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Adaptive Watermarking Scheme Using Biased Shift of Quantization Index by Young-Ho Seo, Hyun-Jun Choi, Ji-Sang Yoo, Dong-Wook Kim

“…It uses the characteristics of a scalar quantizer to comply with the recommendation in JPEG, MPEG series, or JPEG2000. …”
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Communication-Efficient Modeling with Penalized Quantile Regression for Distributed Data by Aijun Hu, Chujin Li, Jing Wu

“…In order to deal with high-dimensional distributed data, this article develops a novel and communication-efficient approach for sparse and high-dimensional data with the penalized quantile regression. In each round, the proposed method only requires the master machine to deal with a sparse penalized quantile regression which could be realized fastly by proximal alternating direction method of multipliers (ADMM) algorithm and the other worker machines to compute the subgradient on local data. …”
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Distributed Channel-Aware Quantization Based on Maximum Mutual Information by Sahar Movaghati, Masoud Ardakani

“…In distributed sensing systems with constrained communication capabilities, sensors' noisy measurements must be quantized locally before transmitting to the fusion centre. …”
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Machine Learning Techniques for Quantification of Knee Segmentation from MRI by Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali AlZubi

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Unit-Chen distribution and its quantile regression model with applications by Ammar M. Sarhan

“…The statistical properties of the proposed distribution are discussed, along with a quantile regression model based on the unit-Chen distribution. …”
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A protocol for analysis of the quantitative characteristics of leaf pubescence in potato by A. V. Doroshkov, M. A. Genaev, D. A. Afonnikov

“…This protocol describes a rapid technology for quantitative assessment of the characteristics of potato pubescence (the number of trichomes on the leaf surface and the average length of trichomes) to solve the problems of genetics and breeding of this plant. …”
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Quantification of Dynamic Excitation Potential of Pedestrian Population Crossing Footbridges by Stana Žcaronivanović, Aleksandar Pavić

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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…Random forest (RF) and gradient boosting (GBT) are optimal and selected to conduct quantitative analysis of the main controlling factors. …”
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ON EXCEEDING OF DIVISION FOR QUALITATIVE AND QUANTITATIVE RESEARCHES IN CONTEMPORARY SCIENTIFIC METHODOLOGY by Uroš Šuvaković

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A Constructive Sharp Approach to Functional Quantization of Stochastic Processes by Stefan Junglen, Harald Luschgy

“…We present a constructive approach to the functional quantization problem of stochastic processes, with an emphasis on Gaussian processes. …”
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