Quantitative assessment of thermal effects on the auricle region caused by mobile phones operating in different modes by Tomasz Rok, Artur Kacprzyk, Eugeniusz Rokita, Dorota Kantor, Grzegorz Tatoń

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Enhancing visitor experiences: a quantitative analysis of marketing strategies at historical and cultural national parks by Rumpapak Luekveerawattana

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Initiating the Effective Unification of Black Hole Horizon Area and Entropy Quantization with Quasi-Normal Modes by C. Corda, S. H. Hendi, R. Katebi, N. O. Schmidt

“…Black hole (BH) area quantization may be the key to unlocking a unifying theory of quantum gravity (QG). …”
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Quantification and Gene Expression Analysis of Histone Deacetylases in Common Bean during Rust Fungal Inoculation by Kalpalatha Melmaiee, Venu (Kal) Kalavacharla, Adrianne Brown, Antonette Todd, Yaqoob Thurston, Sathya Elavarthi

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Quantitative study on the environmental impact of Beijing’s urban rail transit based on carbon emission reduction by Cai Jia, Xudong Wang, Chengyang Qian, Zini Cao, Long Zhao, Luzhou Lin

“…Despite the significant contributions by scholars in this area, debates surrounding the quantification of carbon emissions during the operational phase of urban rail transit persist, particularly in assessing its impact on reducing ground traffic congestion. …”
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Quantitative attribution of 2016 extreme arctic warmth: comparison between late winter and early spring by Junjie Zhu, Ke Fan, Shengping He, Tuantuan Zhang, Yi Deng, Song Yang, Deliang Chen, Kaiqiang Deng, Wei Yu, Baoqiang Tian, Hoffman H N Cheung

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The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis. by Jeffrey F Bromaghin, Todd C Atwood, Karyn D Rode

“…Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. …”
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A bidirectional Mendelian randomization study integrating genome-wide association studies, expression quantitative trait locus, and methylation quantitative trait locus data revealed causal relationship between heavy cigarette dependence and Barrett’s esophagus by Zhou An, Meichun Zeng, Xianhua Wang

“…Additionally, we applied summary data-based Mendelian randomization techniques to combine information from genome-wide association studies (GWAS) with expression quantitative trait locus and methylation quantitative trait locus. …”
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Quantitative Approach for Determining Reproductive Life‐History Strategies of Parasitic Plants: A Case Study in Balanophora by Trevor Padgett, Huei‐Jiun Su, Shu‐Hui Wu, Li‐yen Huang, Yiching Lin

“…Synthesis: Our study provides the first quantitative determination of a semelparous annual reproductive life‐history strategy for any species of Balanophora. …”
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Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models by Yang-Cheng Lin, Chung-Hsing Yeh, Chen-Cheng Wang, Chun-Chun Wei

“…The consumer-oriented design approach uses quantification theory type I, grey prediction (the linear modeling technique), and neural networks (the nonlinear modeling technique) to determine the optimal form combination of product design for matching a given product image. …”
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Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention by Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen

“…More and more research on left ventricle quantification skips segmentation due to its requirement of large amounts of pixel-by-pixel labels. …”
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A New Quantitative Approach for Element-Mineral Determination Based on “EDS (Energy Dispersive Spectroscopy) Method” by Peigang Liu, Zhelin Wang, Zhiqiang Zhang

“…The results show that the new method exhibits several advantages: cost advantages compared to XRD experiment analysis technology and TIMA system and ability to analyze low content minerals which XRD techniques are hard to identify; it allows quantitative characterization on the phenomenon of mineral miscibility, which is of great significance to explore the mineral diagenetic evolution.…”
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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

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Dynamic and Quantitative Method of Analyzing Service Consistency Evolution Based on Extended Hierarchical Finite State Automata by Linjun Fan, Jun Tang, Yunxiang Ling, Benxian Li

“…This paper is concerned with the dynamic evolution analysis and quantitative measurement of primary factors that cause service inconsistency in service-oriented distributed simulation applications (SODSA). …”
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Corrigendum to “Quantitative Detection of miRNA-21 Expression in Tumor Cells and Tissues Based on Molecular Beacon” by Qingxin Liu, Jialong Fan, Chuang Zhou, Liqun Wang, Bin Zhao, Haibin Zhang, Bin Liu, Chunyi Tong

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Quantitative evaluation of China’s public health emergencies response policies: a PMC index model approach by Yongwen Liu, Min Jiao, Yan Wang, Anning Ma

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Quantitative Fluorescence Determination of Long-Fragment DNA in Stool as a Marker for the Early Detection of Colorectal Cancer by Daniele Calistri, Claudia Rengucci, Chiara Molinari, Enrico Ricci, Elena Cavargini, Emanuela Scarpi, Gian Luigi Milandri, Carla Fabbri, Alberto Ravaioli, Antonio Russo, Dino Amadori, Rosella Silvestrini

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A Method for Quantitative Evaluation of Seismic Stability of Loess Slope Based on the Shaking Table Model Test by Pu Xiaowu, Wang Lanmin, Wang Ping, Chai Shaofeng, Xu Shiyang

“…Based on first-order natural frequency and damping ratio extracted from the TF spectrum curve, a calculation method for the stability factor Fs of loess slope based on the shaking table model test is proposed, and the stability factors of loess slope under the action of different seismic ground motion would be quantitatively calculated. The above methods provide another effective way for qualitative prediction and evaluation of seismic stability of loess slope.…”
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Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

Subjects: “…safety performance quantification model (spqm)…”
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