Evaluation of pea varieties based on correlation of quantitative traits and indices by О. І. Присяжнюк, Л. В. Король

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Quantitative analysis and correlation evaluation on taste quality of green tea by Chen Meili, Tang Desong, Gong Shuying, Yang Jie, Zhang Yingbin

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Generalization of Computer Assisted Prosody Training: Quantitative and Qualitative Findings by Debra M. Hardison

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A Quantitative Study on the Consumption of Organic Fruits and Vegetables in Vietnam by Nguyen Ngoc Thuy, Gunjan Saxena, Keshab Bhattarai, Hoang Ha Anh

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Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to... by Yuan Zhang, Yanting Li, Yang Li, Lin Zhao, Yongkui Yang

“…However, two challenges (small sample sizes and a lack of quantitative calculation functions) remain when using ML to predict migration in hydroponic systems. …”
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A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms by Chao Wang, Hao Wu, Nini Wang, Zhirui Ye

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Establishing Students’ Satisfaction with a Learning Management System Using a Modified DeLone and McLean Model: A South African Sample Perspective by Sibongile Simelane-Mnisi, Johnny Mafika Mthimunye

“…This study was motivated by the literature that recommended further research on students’ LMS satisfaction. The quantitative method was used to attain the objective of testing the variables affecting students’ LMS satisfaction and validating the scientific model and hypotheses. …”
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Econometric Analysis of Effects of Nitrogenous Fertilizer Usage on Tomato Yield in Tokat, Turkey by Bilge Gözener, Oğuz Parlakay

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Smallholder farmers’ perception on the environmental impact of eucalyptus plantations: The case of the upper Blue Nile basin of Ethiopia by Abdurohman Yimam, Asnake Mekuriaw, Dessie Assefa, Woldeamlak Bewket

“…A binary logit model was used to analyze the quantitative data, supported by checks for multicollinearity and reliability of Likert-scale responses. …”
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Decoding Quantitative Traits in Yaks: Genomic Insights for Improved Breeding Strategies by Yujiao Fu, Yuanyuan Yu, Xinjia Yan, Daoliang Lan, Jiabo Wang

“…We systematically evaluate critical components of genomic breeding pipelines, including: (1) phenotypic trait assessment, (2) sample collection strategies, (3) reference population design, (4) high-throughput genotyping (via genome sequencing and SNP arrays), (5) predictive model development, and (6) heritability estimation. …”
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Adolescents' screen media entertainment: a quantitative, cross-sectional study by Semen Sebsbie, Semen Sebsbie, Anteneh Tsegaye

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The Weather Radar as a Tool for Collecting Quantitative Data on Migrating Birds by Roberto Nebuloni, Carlo Capsoni

“…However, turning a radar sensor into a tool for quantitative measurements of birds in flight requires calibration, ad-hoc data sampling strategies, models of birds as radar targets and methods for extracting data from the raw radar echoes. …”
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Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage by Angela Sorriento, Lorena Guachi-Guachi, Claudia Turini, Enrico Lenzi, Paolo Dolzani, Gina Lisignoli, Sajedeh Kerdegari, Gaetano Valenza, Claudio Canale, Leonardo Ricotti, Andrea Cafarelli

“…The random forest model showed good performance in distinguishing healthy cartilage from trypsin-treated samples, with an accuracy of 60%. …”
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Enhancing the development of technology and partnership-based business incubator models in indonesia: the role of human resource availability, industry connections, and access to f... by Arief Yanto Rukmana, Mokhamad Syaom Barliana, Isma Widiaty, HR. Aam Hamdani, Ade Gafar Abdullah, Nining Harnani, Ridma Meltareza, Budi Harto

“…Using a quantitative approach, with a random sampling technique of 300 samples representing start-ups and business incubators in various industries and regions in Indonesia, the study was analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS) 4. …”
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The heritability of spatial memory and caching behaviour in a food-storing bird by Tas I.F. Vámos, Ella McCallum, Rachael C. Shaw

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Proteomic characteristics of bronchoalveolar lavage fluid in children with mild and severe Mycoplasma pneumoniae pneumonia by Ao Liang, Yaqi Zhu, Xiaoxue Wu, Qingyan Zhang, Yafang He, Anbang Wang, Anbang Wang, Chunchen Wu, Chunchen Wu, Jianbo Xia, Jianbo Xia, Jianbo Xia

“…This study aimed to identify novel biomarkers to predict disease severity in children with MPP and to develop a predictive model.MethodsIn this study, bronchoalveolar lavage fluid (BALF) samples were collected from 30 children, including 15 with mild and 15 with severe MPP, for quantitative proteomic analysis. …”
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Impact and compensation of sample clock offset in I-CFDMA uplink by Dan DING, Nai-ping CHENG, Yu-rong LIAO

“…To achieve the sample clock synchronization in the interleaved code and frequency division multiple access(I-CFDMA)uplink,the I-CFDMA uplink model was established,and the disturbance of the sample clock offset(SCO)on the system model was discussed,in addition,the signal time shift,phase rotation,multi-user interference(MUI)and inter-carrier interference(ICI)caused by SCO were analyzed quantitatively.On this basis,a compensation method of multi-user SCO was proposed.For one thing,the relevant metric function was modified considering the SCO of each user; for another thing,a multi-user detection(MUD)algorithm based on harmony search was proposed.This algorithm has a higher efficiency than the commonly-used genetic algorithm(GA),as well as a performance approximate to that of optimal detection without SCO but with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mn>1</mn> <mrow> <mn>64</mn></mrow> </mfrac> </math></inline-formula> computational burden.The computer simulation results validate the conclusions obtained.…”
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Additive Manufacturing as an Alternative to Core Sampling in Concrete Strength Assessment by Darya Anop, Marzhan Sadenova, Nail Beisekenov, Olga Rudenko, Zulfiya Aubakirova, Assel Jexembayeva

“…Additive manufacturing reshapes concrete construction, yet routine strength verification of printed elements still depends on destructive core sampling. This study evaluates whether standard 70 mm cubes—corrected by a single factor—can provide an equally reliable measure of in situ compressive strength. …”
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Study on the quantitative analysis of Tilianin based on Raman spectroscopy combined with deep learning. by Wen Jiang, Wei Liu, Xiaotong Xin, Wei Zhang, Junhui Chen, Jieyu Liu, Yanqi Ma, Cheng Chen, Xiaomei Pan

“…For this reason, this paper proposes a residual self-attention mechanism model based on Raman spectroscopy and deep learning for quantitative analysis of 6 concentrations of Tilianin. …”
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Low-Content Quantitation in Entecavir Tablets Using 1064 nm Raman Spectroscopy by Yanlei Kang, Yushan Zhou, Qiaoyu Wu, Ning Wang, Jianguang Zhou

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