Advantages and challenges of using arterial spin labelling MRI to monitor cerebral blood flow in multi-centre clinical trials of neurodegenerative disease: Experience from the RADA... by Lina Jarutyte, Jan Petr, Nicholas Turner, Patrick G. Kehoe, Henk-Jan Mutsaerts, David L. Thomas

“…In the multi-centre setting, disparities in ASL implementation on scanners from different manufacturers lead to inherent differences in measured CBF and its associated parameters (e.g. spatial coefficient of variation (sCoV) of CBF, a proxy of arterial arrival times). …”
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Pengaruh Pemahaman Mengikut Yesus Menurut Matius 16:24 Terhadap Motivasi Menjadi Hamba Tuhan by Ririn Utari, Ruwi Hastuti, Sarah Andrianti

“…This research uses descriptive quantitative method. The results showed that there was a low influence between the understanding of following Jesus according to the Gospel of Matthew 16:24 on the motivation for the call to become servants of God in students of STT Nusantara Salatiga in 2018. …”
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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

“…In accordance with quantitative analysis, it can be observed that the GA-DLNN models required only 7 input parameters and yielded the best prediction accuracy with highest correlation coefficient (R = 0.96) and lowest value root mean square error (RMSE = 0.03936 KN). …”
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Feasibility evaluation method and application of moderate in-situ gasification in deep tight coal & gas reservoirs by KANG Yili, SHAO Junhua, LIU Jiarong, CHEN Mingjun, YOU Lijun, CHEN Xueni, CAO Wangkun

“…The comprehensive quantitative feasibility evaluation method of moderate in-situ gasification of deep tight coal reservoir, which places particular emphasis on the evaluation of preservation conditions, provides scientific guidance for the implementation of moderate in-situ gasification projects in deep tight coal reservoirs.…”
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Influence of scanning plane on Human Spinal Cord functional Magnetic Resonance echo planar imaging. by Marta Moraschi, Silvia Tommasin, Laura Maugeri, Mauro DiNuzzo, Julien Cohen-Adad, Marco Masullo, Fabio Mangini, Lorenzo Giovannelli, Daniele Mascali, Tommaso Gili, Valerio Pisani, Ugo Nocentini, Federico Giove, Michela Fratini

“…<h4>Conclusions</h4>Quantitative metrics of data quality suggest that axial scanning would be the optimal choice. …”
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A novel microscopic method for analyzing gram-stained vaginal smears in the diagnosis of disorders of vaginal microflora by Nenadić Dane B., Pavlović Miloš D., Motrenko Tatjana

“…In this way it may be more valuable to molecular biologists and their attempts based on quantitative polymerase chain reaction (PCR) to define formulas for molecular diagnosis of bacterial vaginosis.…”
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Determination of 60 Food-Borne Stimulant Drug Residues in Animal-Derived Foods by Solid-Phase Extraction Purification and Ultra-High-Performance Liquid Chromatography-Quadrupole/Or... by Liangna He, Qiang Li, Junmei Ma, Meirong Cao, Lixin Fan, Xiaowei Ren, Guohua Shi, Yan Zhang

“…The raw data were collected for the target compounds in Full Scan-ddMS2 mode, and then the Quan Browser module under Xcalibur software can be used to analyze the quantitative results of the samples. The combination of Tracefinder and mzVault software can realize the qualitative screening and confirmation of the samples. …”
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Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy by Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang, Jinhui Zhao

“…Under optimal conditions, the SERS spectral data of the samples were preprocessed, and features were extracted to establish an optimal quantitative prediction model. The experimental results found that the adaptive iteratively reweighted penalized least-squares method (air-PLS) was the best preprocessing method, and the competitive adaptive reweighted sampling–multiple linear regression (CARS-MLR) model demonstrated the best prediction performance, with a coefficient of determination for the prediction set (R_p²) of 0.9817, a root mean square error of calibration (RMSEC) of 1.5539 mg/L, a relative prediction deviation (RPD) of 7.1953, and limits of quantification of 0.75 mg/L. …”
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Emotional Eating on Sedentary Workers: Is It Caused by Individual Characteristics, Exercise Habits, and Work Stress? by Pindi Dwi Irwansyah, Shintia Yunita Arini, Endang Dwiyanti, Dominikus Raditya Atmaka, Bian Shabri Putri Irwanto, Farahul Jannah

“…The aim of this research is to determine the strength and weakness of the correlation between age, gender, exercise habits, and work stress with emotional eating in Kalla Head Office workers. Methods: This quantitative research was carried out through analytical observational design. …”
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Assessment of Nurses' Knowledge Concerning Cardiogenic Shock for Patients' in Cardiac Care Unit at Baghdad Hospitals by Ali Hussein Alek Al-Ganmi

“…Methodology: A descriptive study which was using the quantitative design. The study was conducted at the Medical City/ Baghdad Teaching Hospital; In-Alnafes Teaching Hospital, and Ibn-Albettar Teaching Hospital starting in November 15th 2012 up to the March 30th 2013. …”
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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery by Hsing-Hao Ho, Huai-Che Yang, Wen-Xiang Yang, Cheng-Chia Lee, Hsiu-Mei Wu, I-Chun Lai, Ching-Jen Chen, Syu-Jyun Peng

“…Results The resulting quantitative findings were used to explore the effects of SRS treatment among 28 patients with unruptured AVMs based on 139 regularly tracked T2w scans. …”
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Study on the Relationship Between Species Richness and Morphological Diversity of Higher Categories in Scarabaeoidea by Yumeng Qiao, Yijie Tong, Zhehao Tian, Ning Liu, Ming Bai

“…However, the influence of ecological factors and the specificity of taxonomic phylogeny have led to controversy over the correlation between these indicators. By combining quantitative morphology and statistical methods, here we analyze the biodiversity under the influences of phylogenetic relation factors represented by higher categories. …”
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Reliability of two-dimensional speckle tracking echocardiography in assessment of left atrial function in postmenopausal hypertensive women by M. Yu. Kolesnyk, M. V. Sokolova

“…The ICC coefficients for P-triggering were higher 0.97 (95 % CI 0.92–0.99) and 0.96 (95 % CI – 0.9–0.98), respectively. …”
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Dry Friction Behavior of Stainless Steel Kinematic Pair of Spent Fuel Shearing Machine under Thermal-mechanical Coupling by YANG He1, DONG Jianpeng2, , GAO Feng1, GAO Shan1, TAN Aoshuang2

“…Firstly, the classic Archard model was modified by defining the wear coefficient as a function of contact stress and sliding speed, and the numerical solution process was derived. …”

A Chemoinformatics Investigation of Spectral and Quantum Chemistry Patterns for Discovering New Drug Leads from Natural Products Targeting the PD-1/PD-L1 Immune Checkpoint, with a... by Henrique Rabelo, Ayana Tsimiante, Yuri Binev, Florbela Pereira

“…The LightGBM (Light Gradient-Boosted Machine), a tree-based ML technique, emerged as the most effective approach and was used for building the quantitative structure–activity relationship (QSAR) classification model. (3) Conclusions: The model incorporating 570 spectral descriptors from NMR SPINUS was selected for the optimization process, and this approach yielded results for the external test set with a sensitivity of 0.74, specificity of 0.81, overall predictive accuracy of 0.78, and Matthews correlation coefficient (MCC) of 0.55. …”
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Evaluation of ChatGPT-4 as an Online Outpatient Assistant in Puerperal Mastitis Management: Content Analysis of an Observational Study by Fatih Dolu, Oğuzhan Fatih Ay, Aydın Hakan Kupeli, Enes Karademir, Muhammed Huseyin Büyükavcı

“…The responses were evaluated by a panel consisting of 3 board-certified general surgeons and 2 general surgery residents, using five criteria: sufficient length, patient-understandable language, accuracy, adherence to current guidelines, and patient safety. Quantitative metrics included the DISCERN score, Flesch-Kincaid readability score, and inter-rater reliability assessed using the intraclass correlation coefficient (ICC). …”
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Investigating the e-learning choice under the learners’ perspective using demand driven learning model: insights from Vietnam by Phong Thanh Nguyen, Quyen Le Hoang Thuy To Nguyen, Luan Thanh Nguyen, Vy Dang Bich Huynh

“…The results of the study highlight the pivotal role of quality content, which exerts the most potent influence on e-learning choice, evidenced by a robust path coefficient of 0.400. Service and delivery, with direct path coefficients of 0.183 and 0.173, respectively, also play substantial roles in shaping e-learning decisions. …”
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Preliminary study of key specific genes involved in tubular ferroptosis in diabetic kidney disease by Ma Li-li, Jiang Lin, Fu Li, Wei Rui, Wang Ting-ting

“…After screening key genes， clinical correlation analysis and quantitative real-time PCR （qPCR） were performed for validation. …”
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Detection of Asymptomatic Sickle Cell Hemoglobin Carriers and Fetal Hemoglobin Regulating Genetic Variants in African Descendants from Oaxaca, Mexico by María De Los Ángeles Romero-Tlalolini, Sergio Roberto Aguilar-Ruiz, Rafael Baltiérrez-Hoyos, Jaime Vargas-Arzola, Luis Alberto Hernández-Osorio, Verónica Rocío Vásquez-Garzón, Héctor Ulises Bernardino-Hernández, Honorio Torres-Aguilar

“…This study reveals the need to raise coverage of HbS screening in vulnerable populations and shows a feasible low-cost ARMS-PCR methodology to determine the presence of SNVs in quantitative trait loci affecting HbF.…”
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Quality of Life of Men Who Have Sex with Men: A Cross-sectional Study from Sagar, Madhya Pradesh by Abhijit Das, Shraddha Mishra, Amarnath Gupta, Sandhya Singh, Shatkratu Dwivedi

“…The differences between mean QOL scores were analyzed using t -test/analysis of variance, and Pearson’s correlation coefficient was used to assess the correlation between domains. …”
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