Longitudinal Follow‐Up of Patients With Duchenne Muscular Dystrophy Using Quantitative 23Na and 1H MRI by Teresa Gerhalter, Benjamin Marty, Lena V. Gast, Frank Roemer, Pierre‐Yves Baudin, Regina Trollmann, Michael Uder, Pierre G. Carlier, Armin M. Nagel

“…ABSTRACT Background Quantitative muscle MRI commonly evaluates disease activity and muscle wasting in Duchenne muscular dystrophy (DMD). …”
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Quantifying the Detection Sensitivity and Precision of qPCR and ddPCR Mechanisms for eDNA Samples by Gledis Guri, Jessica Louise Ray, Andrew Olaf Shelton, Ryan P. Kelly, Kim Præbel, Elizabeth Andruszkiewicz Allan, Nigel Yoccoz, Torild Johansen, Owen S. Wangensteen, Tanja Hanebrekke, Jon‐Ivar Westgaard

“…ABSTRACT Environmental DNA (eDNA) detection employing quantitative PCR (qPCR) and droplet digital PCR (ddPCR) offers a non‐invasive and efficient approach for monitoring aquatic organisms. …”
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CPAP management of COVID-19 respiratory failure: a first quantitative analysis from an inpatient service evaluation by Abdul Ashish, Alison Unsworth, Jane Martindale, Kanishka Kavuri, Luigi Sedda, Martin Farrier

“…As yet there is limited availability of quantitative research on CPAP use for COVID-19. Whist this work is hampered by both the relatively small sample size and retrospective design (which reduced the ability to control potential confounders), it represents evidence of the significant benefit of early CPAP intervention. …”
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Quantitative and Qualitative Evaluation of Microplastic Contamination of Shrimp Using Visible Near-Infrared Multispectral Imaging Technology Combined with Supervised Self-Organizin... by Sureerat Makmuang, Abderrahmane Aït-Kaddour

“…However, accurately detecting and characterizing MPs in biological samples remains a challenge due to the complexity of biological matrices and analytical limitations. …”
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Quantitative microbial risk assessment of Legionella pneumophila in a drinking water distribution system: A case study by Seyed Mohammad Ranjdoost, Mina Owrang

“…However, limitations related to sampling methodology, geographic specificity, and dose-response modeling should be considered when interpreting the results.…”
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Quantitative Estimation of Organic Matter Content in Arid Soil Using Vis-NIR Spectroscopy Preprocessed by Fractional Derivative by Jingzhe Wang, Tashpolat Tiyip, Jianli Ding, Dong Zhang, Wei Liu, Fei Wang

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Reliability and short-term intra-individual variability of telomere length measurement using monochrome multiplexing quantitative PCR. by Sangmi Kim, Dale P Sandler, Gleta Carswell, Clarice R Weinberg, Jack A Taylor

“…We examined the reliability of telomere length measurement using sequential samples collected over a 9-month period.<h4>Methods and findings</h4>Relative telomere length in peripheral blood was estimated using a single tube monochrome multiplex quantitative PCR assay in blood DNA samples from 27 non-pregnant adult women (aged 35 to 74 years) collected in 7 visits over a 9-month period. …”
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Quantitative Relationships Between Basalt Geochemistry, Shear Wave Velocity, and Asthenospheric Temperature Beneath Western North America by M. Klöcking, N. J. White, J. Maclennan, D. McKenzie, J. G. Fitton

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Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities by Matyas Lukacs, Flora Vitalis, Adrienn Bardos, Judit Tormási, Krzysztof B. Bec, Justyna Grabska, Zoltan Gillay, Rita A. Tömösközi-Farkas, László Abrankó, Donatella Albanese, Francesca Malvano, Christian W. Huck, Zoltan Kovacs

“…Following spectral pretreatment, partial least squares regression (PLSR) and support vector regression (SVR)-based quantitative models were built to predict extract concentrations and various chemical parameters. …”
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Indocyanine green-activated fluorescence laparoscopy imaging: a novel quantitative assessment method for intraperitoneal aerosolized drug distribution by Qiming Fan, Renjie Li, Xiaosong Lin, Zifeng Yang, Yong Li

“…Aerosolized ICG (5 μg/mL) was sprayed into an ex vivo box model containing four fresh swine peritoneal samples positioned as follows: (A) bottom directly opposite the nozzle, (B) obstructive bottom, (C) side wall, and (D) top. …”
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Effect of stadium service quality on the club value perceived by the supporter: sample of Konyaspor Büyükşehir Torku Arena by Ali Sevılmıs, Erkan Faruk Sırın

“…This study, which aims at introducing the relationships between the quality perceived in stadium services and the value the supporters perceive toward the club and how much the value attributed by supporters to the sport club was affected from the stadium service quality perceived by supporters, was designed in the relational scanning model taking place in quantitative study. The data in the study were obtained 679 supporters, determined by the method of randomly sampling, coming to watch the matches of Torku Konyaspor-Akhisar Belediyespor, Torku Konyaspor-Galatasaray, Torku Konyaspor-Mersin İdman Yurdu, and Torku Konyaspor-Gençlerbirliği in the existing eight tribune areas in 2015 -2016 football season. …”
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Validation and application of a visual LAMP assay for Mpox diagnosis — Insights from clinical samples in Thailand by Wansadaj Jaroenram, Yada Ongchanchai, Ravee Nitiyanontakij, Pawita Suwanwatthana, Ratchana Ponang, Wansika Kiatpathomchai

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Quantitative evaluation of brittleness of deep shale gas reservoirs of Wufeng- Longmaxi formations in Lintanchang area, southeastern Sichuan Basin by Shaoke FENG, Liang XIONG, Shuai YIN, Xiaoxia DONG, Limin WEI

“…Based on the shale characteristics of mineral composition, triaxial rock mechanics, and fracture toughness, a deep learning weight analysis model was developed using brittleness indices Bel and Bmine3 and fracture toughness index IKIC as data inputs.The cumulative risk value was less than 5, indicating the high reliability of the model.A comprehensive brittleness index B was established based on the model, and its correlation with the measured brittleness index BS of core samples was significantly improved (R=0.852 7). …”
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Quantitative Assessment of Bolt Looseness in Beam–Column Joints Using SH-Typed Guided Waves and Deep Neural Network by Ru Zhang, Xiaodong Sui, Yuanfeng Duan, Yaozhi Luo, Yi Fang, Rui Miao

“…Although the guided wave method has been proven effective for detecting bolt looseness, the severe dispersion properties and complex structure of beam–column joints pose difficulties for the quantitative evaluation of bolt looseness. Therefore, a deep neural network model integrating a convolutional neural network (CNN), long short-term memory (LSTM), and multi-head self-attention mechanism (MHSA) is introduced to identify the degree of looseness in multiple bolts using SH-typed guided waves. …”
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Investigating Falls Risk Awareness in Hospitals Using the Self‐Awareness of Falls Risk Measure (SAFRM): Empirical Research Quantitative by Elissa Dabkowski, Simon J. Cooper, Jhodie Duncan, Karen Missen

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Exploration of different quantitative polymerase chain reaction-based genotyping methods to distinguish Apcmin/+ mice from wildtype mice. by Yuting Sun, Tingyu Zhou, Silin Ye, Effie Yin Tung Lau, Yao Zeng, Jessie Qiaoyi Liang

“…In this study, we used Apc as a model and assessed the feasibility of different qPCR-based methods for SNV genotyping, considering approaches with and without genotyping analytical tools. …”
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Enantioselective-GCxGC determination of α-terpinyl ethyl ether in wine: Quantitative analysis and identification of main terpene precursors by Aakriti Darnal, Alberto Ceccon, Martina Magni, Peter Robatscher, Simone Poggesi, Emanuele Boselli, Edoardo Longo

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Paired Sample T-Test on English-Indonesian Translation by EFL Students Before and After Knowing Translation Process by Made Dharma Susena Suyasa

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A highly sensitive quantitative method of polysialic acid reveals its unique changes in brain aging and neuropsychiatric disorders by Masaya Hane, Ayane Naramura, Kaito Hayakawa, Chikara Abe, Takahiro Nakagawa, Itaru Kushima, Soma Furukawa, Yuki Fukami, Keisuke Ikegami, Kazumasa Saigoh, Susumu Kusunoki, Masahisa Katsuno, Norio Ozaki, Ken Kitajima, Chihiro Sato

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The qualitative and quantitative characteristics of serous endometrial carcinoma on MRI: applying a novel nomogram for predicting an aggressive histological type by Rennan Ling, Hongtao Jin, He Zhang

“…A predictive nomogram achieved an AUC of 0.814 (95% CI: 0.614–0.968), a sensitivity of 1.0, and a specificity of 0.60 in the testing set.ConclusionsThis study developed and validated a nomogram model to predict SEC patients based on clinical and quantitative MRI features, which can be used in distinguishing SEC from EEC.…”
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