Rapid Quantitative Detection of Dye Concentration in Pt/TiO₂ Photocatalytic System Based on RGB Sensing by Cuiyan Han, Ziao Wang, Jiahong Cui, Shuqi Liu, Liu Yang, Yang Fu, Baolin Zhu, Cheng Guo

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The Effect of Organizational Commitment on Intention to Leave among Nurses: A Quantitative Study of Abu Dhabi Health Services Company (SEHA) by Azmi Alhorani, Mohammed Yousef Alkhraishi, Windy Mankone Ndhlovu, Roobasoundhrie Chetty, ZamZam Hamud

“…Findings: The statistical analysis of the study revealed significant findings, which showed that organizational commitment (OC) negatively influences intention to leave (IL) with a beta coefficient (β) of -0.545 and a p-value which is less than 0.05, and likewise affects a toxicity negatively -0.411, p factory (TWE) where β is < 0.05. …”
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A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma by Ran Tao, Haohao Lu, Xiangjun Dong, Qian Qian Ren, Hongjie Fan, Zhaoming Tang, Xiangwen Xia

“…ObjectiveThis study aimed to develop and evaluate the value of a nomogram based on quantitative MR signal intensity to predict response to combined systemic therapy of anti-angiogenesis and immune checkpoint inhibitor (ICI) in hepatocellular carcinoma (HCC) patients.Methods117 HCC patients who underwent the combined systemic treatment at a tertiary hospital between September 2020 and May 2024 were enrolled and divided into a development cohort (n = 82) and a validation cohort (n = 35). …”
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Multi-parametric quantitative MRI of the lower limb muscles in a longitudinal study of limb-girdle muscular dystrophy R9. by Susanne S Rauh, Pierre-Yves Baudin, Tanya Stojkovic, Simone Birnbaum, Valérie Decostre, Rachida-Lydie Zanfongnon, Yves Fromes, Melissa T Hooijmans, Gustav J Strijkers, Jean-Yves Hogrel, Sophie Olivier, Benjamin Marty, Harmen Reyngoudt

“…Here, we investigated several quantitative MRI parameters as suitable biomarkers for evaluating disease progression in LGMD-R9.…”
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Quantitative analysis of ocular deviation under eye occlusion: a descriptive study using the ORTe EYENAC eye-tracking system by Shunya Tatara, Yuna Magara, Touko Sasaki, Fumiatsu Maeda, Noriaki Murata, Kazuhiro Itagaki, Tomoya Handa, Haruo Toda

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Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications by Seung Yeon Cho, Yisak Kim, Sehoon Park, Jin Ho Paik, Ho Jun Chin, Jeong Hwan Park, Jung Pyo Lee, Yong-Jin Kim, Sun-Hee Park, Ho-chang Lee, Hyunjeong Cho, Beom Jin Lim, Hyung Woo Kim, Seung Hyeok Han, Heounjeong Go, Chung Hee Baek, Hajeong Lee, Kyung Chul Moon, Young-Gon Kim

“…We propose artificial intelligence-based frameworks for quantitatively analyzing glomerular histologic features that can predict kidney progression in IgAN. …”
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A Quantitative, Digital Method to Analyze Human Figure Drawings as a Tool to Assess Body Representations Distortions in Stroke Patients by Isabella Martinelli, Stephanie Konik, Eleonora Guanziroli, Joseph Tharayil, Carolina Foglia, Makeda Minelik Alemu, Maria Colombo, Alessandro Specchia, Andrea Serino, Franco Molteni, Michela Bassolino

“…The objective of this study is to present and validate the use of a new app called QDraw for the quantitative analysis of drawings and to investigate whether this analysis can reveal distortions of BRs in chronic stroke patients. …”
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Estimation of ODAP contents and heritability of quantitative traits in grass pea (Lathyrus sativus L.) accessions from North-Western Ethiopia by Desalegn Abebe Mekonen, Adane Abraham, Happiness Oselebe, Celestine Afiukwa, Tiegist Dejene Abebe, Aragaw Zemene, Aderajew Adgo Tesema

“…The study aimed to measure the ODAP, heritability, and genetic advance of quantitative traits in northwest Ethiopian grass pea accessions. …”
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Quantification of Plasmodium falciparum: validation of quantitative polymerase chain reaction assays for detection of parasites in controlled human malaria infection studies by Elizabeth Kibwana, Domtila Kimani, Nick J. Edwards, Kelvias Keter, Agnes Mutiso, Lydia Nyamako, Rose Gatheru, Adrian V. S. Hill, Philip Bejon, Philip Bejon, Katie J. Ewer, Melissa C. Kapulu, Melissa C. Kapulu

“…The monitoring of infection has historically been carried out by microscopy and/or more recently sensitive quantitative polymerase chain reaction (qPCR) based on the 18S ribosomal RNA (rRNA) gene. …”
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F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma by Tong Wang MD, Hongzan Sun MD, Yan Guo PhD, Lue Zou MD

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Topical Agenda for the Study of Values in Foreign Sociology: Topics, Theories, Methodologies by M. A. Kashina, S. V. Lyashko, S. Tkach

“…The study was carried out in a quantitative design, the method of content analysis was used, followed by the calculation of the c-correlation coefficient between the three semantic components of the study: topic, theory, methodology. …”
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Emotional labor and burnout among hotel frontline employees in the Philippine tourism by Chizanne Sarabia Larena

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A critical phantom study of the energy window used for 99mTc quantitative explorations with a ring CZT SPECT system by Alain Seret, Claire Bernard

“…Cold rod residual scatter fraction, hot and cold rod contrast recovery coefficient, coefficient of variation in phantom uniform areas and quantification accuracy using calibration with one of the homogeneous phantoms were, among others, computed. …”
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Exploring the associations between features from multi-parametric MR images in Glioblastoma using radiomics by Lei Xu, Wenzhe Zhao, Ruirui Guo, Xin Huang

“…Methods Utilizing the University of Pennsylvania Health System Glioblastoma dataset from The Cancer Imaging Archive, we extracted quantitative features from T1-weighted, T2-weighted, T2 fluid attenuated inversion recovery (T2-FLAIR), and post-contrast T1-weighted (T1-Gd) images. …”
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Quantitative Prediction of Residual Stress, Surface Hardness, and Case Depth in Medium Carbon Steel Plate Based on Multifunctional Magnetic Testing Techniques by Changjie Xu, Xianxian Wang, Haijiang Dong, Juanjuan Li, Liting Wang, Xiucheng Liu, Cunfu He

“…The multiple linear regression (MLR) model demonstrated highly accurate quantitative prediction of residual stress and hardness in the y-direction. …”
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Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model by Banglong Pan, Hongwei Cheng, Shuhua Du, Hanming Yu, Shaoru Feng, Yi Tang, Juan Du, Huaming Xie

“…The results show that the quantitative model by the PCA-CNN algorithm has the better prediction precision for the reciprocal logarithm data, with a coefficient of determination (R2), root mean square error (RMSE), and ratio of performance to interquartile range (RPIQ) of 0.907, 0.023, and 5.11, respectively. …”
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Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…The best model obtained a coefficient of determination (R2) of 0.9831. Machine learning of median grain size from conventional logging data was systematically carried out through conventional logging sensitivity curve optimization, algorithm modeling, network parameter optimization, median grain size prediction, and validation, and the relative error in its quantitative prediction met application requirements. …”
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Correlation of quantitative measures of estrogen receptor α and β expression in non-small cell lung cancer tissue with clinical characteristics of the disease by T. A. Bogush, S. A. Samsonik, A. A. Basharina, E. A. Bogush, O. M. Ryabinina, A. N. Grishanina, V. Yu. Kirsanov, A. V. Karpukhin, V. S. Kosorukov

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Quantitative assessment of brain glymphatic imaging features using deep learning-based EPVS segmentation and DTI-ALPS analysis in Alzheimer’s disease by Fenyang Chen, Tiantian Heng, Qi Feng, Rui Hua, Jiaojiao Wu, Feng Shi, Zhengluan Liao, Keyin Qiao, Zhiliang Zhang, Jianliang Miao

“…EPVS were automatically segmented from T1WI and T2WI images using a VB-Net-based model. Quantitative metrics, including total EPVS volume, number, and regional volume fractions were extracted, and segmentation performance was evaluated using the Dice similarity coefficient. …”
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Development of a Multiplex Quantitative Polymerase Chain Reaction Assay for the Detection of Duck Enteritis Virus, Goose Parvovirus, and Muscovy Duck Parvovirus by Qian Qiu, Ruiming Hu, Zirui Liu, Linjie Yan, Fan Yang, Xueyan Dai, Chenghong Xing, Huabin Cao

“…In this study, a TaqMan probe-based multi-quantitative polymerase chain reaction (qPCR) assay was developed and optimized. …”
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