What do women like? A quantitative study of the female behavior of sparkling wines consumers by Miriam de Oliveira Dornelles, Cláudio Vinícius Silva Farias, Shana Sabbado Flores

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Attenuation Based Quantitative Evaluation of Hepatic Steatosis Using US: Current Status and Future Perspective by Dong Ho Lee

“…To enhance diagnostic precision and reduce measurement variability, the standardization of examination protocols, including measurement processes, is necessary. …”
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Can innovation cultivate growth? A quantitative exploration of agri-tech startups and incubation impact by Ashish Kumar Isher, Veer P. Gangwar

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Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer by Chenghang Li, Yongchang Wei, Jinzhi Lei

“…This study presents an approach that bridges the gap between diverse clinical data sources and the generation of virtual patient cohorts, providing valuable insights into interindividual treatment variability and survival forecasting in mCRC patients.…”
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THE RELATIONSHIP BETWEEN EDUCATION AND TEXT SIMILARITY CHECKING PROCESS ACROSS COUNTRIES: A QUANTITATIVE ANALYSIS by Artem Artyukhov, Olena Churikanova, Oleksandr Dluhopolskyi, Kseniia Bliumska-Danko

“…However, the Distance Correlation test (dCor = 0.24) implies a more complex, non-linear relationship between the variables. Regression models failed to significantly improve the justification of results, highlighting that the Education index alone does not strongly predict similarity percentages. …”
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The impact of gradient variable temperature fermentation on the quality of cigar tobacco leaves by Qianying Zhang, Qianying Zhang, Yang Huang, Yang Huang, Hongyue An, Hongyue An, Shuanghong Yang, Shuanghong Yang, Jinshan Lei, Jinshan Lei, Yue Wang, Yue Wang, Pinhe Li, Pinhe Li, Hongfei Zhang, Wen Cai, Wen Cai, Wen Cai, Yun Jia, Yun Jia, Yongqiang Pang, Dongliang Li, Dongliang Li

“…Changes in sensory evaluation, chemical composition, and bacterial absolute quantitative structure and function were examined throughout the process of gradient variable temperature fermentation.ResultsCompared to constant temperature fermentation, gradient variable temperature fermentation improved the sensory quality of CTLs, reduced total sugar and cembrane degradation products, and increased the amino acid contents. …”
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Using the Pearson’s correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient? by Shouhui Pan, Shouhui Pan, Zhongqiang Liu, Zhongqiang Liu, Yanyun Han, Yanyun Han, Dongfeng Zhang, Dongfeng Zhang, Xiangyu Zhao, Xiangyu Zhao, Jinlong Li, Jinlong Li, Kaiyi Wang, Kaiyi Wang

“…Pearson’s correlation coefficient (PCC), serving as a metric for quantifying the strength of the linear association between two variables, is widely used to evaluate the accuracy of the quantitative trait prediction models, and generally performs well in most circumstances. …”
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Research on the Evaluation of Quantitative Characteristics in Dry Beans in the Context of Climate Change in Central Moldavia, Romania by Simona-Florina ISTICIOAIA, Alexandra LEONTE, Andreea-Sabina PINTILIE, Lorena-Diana POPA, Raluca REZI, Camelia URDĂ, Dumitru-Dorel BLAGA, Danela MURARIU, Gheorghe MATEI, Paula-Lucelia PINTILIE

“…Seed yields showed high variability from year to year, ranging from 1044 kg/ha to 1459 kg/ha. …”
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Quantitative Analysis of a Weak Correlation between Complicated Data on the Basis of Principal Component Analysis by Tao Pang, Haitao Zhang, Liliang Wen, Jun Tang, Bing Zhou, Qianxu Yang, Yong Li, Jiajun Wang, Aiming Chen, Zhongda Zeng

“…On the basis of the new method, the complex but weak relationship between these independent and dependent variables were interestingly studied. Three widely used but conventional methods were applied for comparison in this work. …”
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Quantitative operation risk assessment method for power grid with large-scale distributed new energy by Shuai ZHAO, Xiaolin ZHENG, Tao LU, Xiaojing YANG, Ning JIANG, Haipeng LIU

“…Then, according to the output characteristics of distributed new energy and multiple types of security and stability impact factors, clusters are divided, and the number of deterministic scenarios participating in safety and stability analysis is reduced by reducing the dimensionality of uncertainty variables. On this basis, the control measures and risk indicators that meet the requirements of safe and stable operation are calculated for different confidence intervals, and the different consequences of high probability low loss and low probability high loss scenarios on the power system are quantitatively evaluated. …”
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Landscape of regulatory quantitative systems pharmacology submissions to the U.S. Food and Drug Administration: An update report by Jane P. F. Bai, Guansheng Liu, Miao Zhao, Jie Wang, Ye Xiong, Tien Truong, Justin C. Earp, Yuching Yang, Jiang Liu, Hao Zhu, Gilbert J. Burckart

“…Abstract The number of quantitative systems pharmacology (QSP) submissions to the U.S. …”
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Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

“…With the assistance of the evaluation algorithms based on the well-performed backpropagation neural network (BPNN), we quantitatively analyze the importance of the structural parameters of the supported helical microfiber (HMF) temperature sensor. …”
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Digital PCR outperforms quantitative real-time PCR for the detection and quantification of major periodontal pathobionts by Haris Munjaković, Katja Povšič, Mario Poljak, Katja Seme, Rok Gašperšič, Lucijan Skubic

“…Background This study comparatively evaluated the analytical and diagnostic performance of a multiplex digital polymerase-chain reaction (dPCR) assay and a quantitative real-time PCR (qPCR) for the simultaneous detection and quantification of periodontal pathobionts: Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and Fusobacterium nucleatum.Materials and Methods Subgingival plaque samples from 20 periodontitis patients and 20 periodontally healthy controls were analyzed. …”
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Quantitative determination of phenazepam and its active metabolite in human blood plasma at different extraction procedures by I. I. Miroshnichenko, A. I. Platova, I. I. Kuzmin, D. V. Ivaschenko

“…Development and validation of quantitative methods for PHEN and 3-OH-PHEN in human blood plasma with different sample preparation methods.Materials and methods. …”
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Construction of a Compound Model to Enhance the Accuracy of Hepatic Fat Fraction Estimation with Quantitative Ultrasound by Zsély Boglárka, Zita Zsombor, Aladár D. Rónaszéki, Anna Egresi, Róbert Stollmayer, Marco Himsel, Viktor Bérczi, Ildikó Kalina, Klára Werling, Gabriella Győri, Pál Maurovich-Horvat, Anikó Folhoffer, Krisztina Hagymási, Pál Novák Kaposi

“…<b>Background:</b> we evaluated regression models based on quantitative ultrasound (QUS) parameters and compared them with a vendor-provided method for calculating the ultrasound fat fraction (USFF) in metabolic dysfunction-associated steatotic liver disease (MASLD). …”
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A deep learning aided bone marrow segmentation of quantitative fat MRI for myelofibrosis patients by Humera Tariq, Lubomir Hadjiiski, Dariya Malyarenko, Moshe Talpaz, Kristen Pettit, Gary D. Luker, Brian D. Ross, Thomas L. Chenevert

“…PurposeTo automate bone marrow segmentation within pelvic bones in quantitative fat MRI of myelofibrosis (MF) patients using deep-learning (DL) U-Net models.MethodsAutomated segmentation of bone marrow (BM) was evaluated for four U-Net models: 2D U-Net, 2D attention U-Net (2D A-U-Net), 3D U-Net and 3D attention U-Net (3D A-U-Net). …”
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Selective ligand recognition by a diversity-generating retroelement variable protein. by Jason L Miller, Johanne Le Coq, Asher Hodes, Roman Barbalat, Jeff F Miller, Partho Ghosh

“…Central to this was the differential amplification of binding strengths by avidity (i.e., multivalency), which not only relaxed the demand for optimal complementarity between Mtd and pertactin but also enhanced distinctions among binding events to provide selectivity. A quantitatively similar balance between complementarity and avidity was observed for Bordetella bacteriophage DGR as occurs in the immune system, suggesting that variable repertoires operate under a narrow set of conditions to recognize novel ligands.…”
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Investigation of Unsteady Aerodynamic Excitation on Rotor Blade of Variable Geometry Turbine by Jian Liu, Wei-Yang Qiao, Wen-Hua Duan

“…To investigate the aerodynamic excitations in variable geometry turbines, the full three-dimensional viscous unsteady numerical simulations were performed by solving N-S equations based on SAS SST method. …”
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Quality of life and unmet needs in patients with fabry disease: a qualitative study by Montserrat Morales, Jordi Cruz, Eduardo Brignani, Laura Acuña, Esther Lázaro, Cristina Soria

“…The majority of studies evaluate the quality of life using quantitative measures and standardised scales that offer relevant information about experience with the disease in multiple aspects. …”
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Eye movements during the reading of narrative and poetic texts. by Arthur Jacobs, Jana Lüdtke, Johanna Kaakinen, Lynn S. Eekhof

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