Quantitative multiplexed analysis of gene and protein expression patterns in Yarrowia lipolytica by Erin Bredeweg, Galya Orr, Dehong Hu

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Quantitative longitudinal investigation of non-alcoholic steatohepatitis in mice by photoacoustic microscopy by Jianshuang Wei, Ren Zhang, Mingchen Jiang, Lulu Gao, Ximiao Yu, XiuLi Liu, Yanfeng Dai, Qingming Luo, Zhihong Zhang, Xiaoquan Yang

“…This pipeline enabled continuous monitoring and quantitative assessment of microvascular changes in a NASH mouse model over a six-week period. …”
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ChatGPT based method for obtaining repeatable and quantitative colorimetric measurements by Morena Xaba, Sivuyisiwe Mapukata, Teboho Mokhena

“…., that generates human-like dialogue and responses from the user input.• ChatGPT can be used to determine colorimetric values for the assessment of environmental pollutants such as congo red (CR) and coomassie brilliant blue (CBB) and prove its ability for consistent reproducibility.• Several color models have been developed such as CIE Lab, RGB, and Xyz to quantify colors.• We used ChatGPT, in conjunction with Color Grab which is an Android app, to quantitatively determine the RGB values of the pollutant solutions, and investigated the color difference ΔE, as well as the hue and chroma that facilitates the color absorption of the pollutants.• The results from ChatGPT and Color Grab were confirmed with the well-established ultra-violet visible (UV–Vis) spectrophotometer.…”
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High-Fat Diet-Induced Mild Obesity Alters the Activation of T Cells and Maintains Intestinal Homeostasis in Food Allergy Animal Model by Fan Yang, Ruofan Xie, Meijia Huang, Chunqiu Hu, Yong Wu, Xin Li, Hongbing Chen

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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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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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Comparative Modeling and Prediction of the Mechanical Strength of Chemically Modified Bamboo Fibers Using Artificial Neural Networks and Response Surface Methodology by Mamookho Elizabeth Makhatha, Patrick Ehi Imoisili, Sebetlela Letlhabula, Tien-Chien Jen

“…Artificial neural networks (ANN) in artificial intelligence (AI) have been utilized to solve an array of engineering challenges. At the same time, response surface methodology (RSM) is a modeling strategy to maximize the response or responses when two or more quantitative components are involved. …”
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Quantifying the national responsibilities for the conservation of transboundary migratory species Siberian ibex by Jingwen Xu, Yingying Zhuo, Sabina Koirala, Muhammad Zafar Khan, Shamshidin Abduriyim, Chagsaldulam Odonjavkhlan, Vladislav Vinogradov, Ruidong Zhang, Baolin Zhang, Kathreen Ruckstuhl, António Alves da Silva, Joana Alves, Alice Hughes, Jiajia Liu, Muyang Wang, Weikang Yang

“…Based on intensive field surveys from 2010 to 2023 and systematic data compilation from multilingual literature, we developed the first quantitative framework for assessing national conservation responsibilities for Siberian ibex (Capra sibirica) across its 11-country distribution. …”
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Quantitative Definition of Seismic Performance Levels for Precast Bridge Piers with Continuous Reinforcement by Seongjun Park, Chandara Koem, Changsu Shim

“…Based on the developed M-Phi model, prefabricated bridge piers with continuous reinforcement, which were designed force-based using response correction factor, were evaluated. …”
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4D structural biology–quantitative dynamics in the eukaryotic RNA exosome complex by Jobst Liebau, Daniela Lazzaretti, Torben Fürtges, Anna Bichler, Michael Pilsl, Till Rudack, Remco Sprangers

“…Furthermore, we extract quantitative insights into conformational changes within the complex in response to substrate and subunit binding for regions that are invisible in static cryo-EM and crystal structures. …”
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Quantitative Vulnerability Assessment of Buildings Exposed to Landslides Under Extreme Rainfall Scenarios by Guangming Li, Dong Liu, Mengjiao Ruan, Yuhua Zhang, Jun He, Zizheng Guo, Haojie Wang, Mengchen Cheng

“…The maximum vulnerability value increased from 0.87 to 1.0. This model offers a valuable addition to current quantitative landslide risk assessment frameworks. …”
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Quantitative adverse outcome pathway modeling for cigarette-smoke-induced airway mucus hypersecretion. Part 1: adverse-outcome-pathway-based in vitro assessment with repeated expos... by Sakuya Ichikawa, Shugo Muratani, Keigo Sano, Kazuo Erami, Akina Mori, Risa Matsumoto, Shigeaki Ito

“…We anticipate that our AOP-based assessment method combined with computational quantitative AOP modeling (discussed in Part 2) will become a valuable tool for assessing the disease risk of airborne materials and inhalable products.…”
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Visitor Perceptions Toward Sustainable and Resilient Tourism Destination: A Quantitative Assessment by Rima Karsokiene, Algirdas Giedraitis, Rimantas Stasys

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A Strand-Specific Quantitative RT-PCR Method for Detecting vRNA, cRNA, and mRNA of H7N9 Avian Influenza Virus in a Mouse Model by Bo Wang, Guangwen Wang, Yi-han Wang, Xuwei Liu, Manman Li, Huihui Kong, Hualan Chen, Li Jiang, Chengjun Li

“…Here, a detection system based on a mouse model was established, which can simultaneously and quantitatively analyze the dynamic changes in the viral genomic RNA (vRNA), complementary RNA (cRNA), and messenger RNA (mRNA) of H7N9 AIV by using reverse transcription primers with tag sequences to reverse transcribe the three species of RNAs into corresponding cDNA templates, which are then absolutely quantified using the TaqMan quantitative PCR method. …”
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A quantitative analysis of the factors that influence clinical blood demand in the Suzhou area by Shuhong Xie, Mingyuan Wang, Longhai Tang, Yiming Jin, Yan Cao, Wei Gao, Yu Yan, Qi Xiao, Weibin Yan

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Statistical and neural network modeling of β-glucanase production by Streptomyces albogriseolus (PQ002238), and immobilization on chitosan-coated magnetic microparticles by Nourhan H. Elshami, Ghadir S. El‑Housseiny, Mahmoud A. Yassien, Nadia A. Hassouna

“…The β-glucanase activity was qualitatively assessed and quantitatively measured using 3,5-dinitrosalicylic acid (DNS) method. …”
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Quantitative Assessment of Regional Carbon Neutrality Policy Synergies Based on Deep Learning by Daiyang Zhang, Enmiao Feng

“… This study presents a comprehensive quantitative assessment framework for evaluating regional carbon neutrality policy synergies using deep learning techniques. …”
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Improving and supporting quality of care in Dutch nursing homes: a quantitative study by Bellis van den Berg, Marrit B. Zuure, Paulien Vermunt, Mariëlle Zondervan-Zwijnenburg, Mirella Minkman

“…The probability of achieving high scores on care outcomes (person-centred care, resident safety and well-being) was significantly increased with high scores on organizational conditions. A multilevel model demonstrated that the themes Learning and improvement, Responsive workforce and Use of resources were statistically significant associated with positive care outcomes. …”
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Spatiotemporal Change of Crop Yield and Its Response to Planting Structural Shifts in Northeast China from 2001 to 2021 by Xu Lin, Yaqun Liu, Jieyong Wang

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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…To restore degraded pastures in steppe and semi-steppe areas, it is necessary to understand A. curvirostris' response to environmental variables and model its distribution. …”
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