Odor-active aroma compounds in traditional fermented dairy products: The case of mabisi in supporting food and nutrition security in Zambia by Thelma W. Sikombe, Anita R. Linnemann, Himoonga B. Moonga, Stefanie Quilitz, Sijmen E. Schoustra, Eddy J. Smid, Anna Alekseeva

“…A panel of three assessors identified the odor-active compounds from the GC-O-MS, and the compound's quantitative aspects were obtained by the PTR-QiTOF-MS.Twelve volatile compounds were identified as odor-active compounds during the GC-O-MS analysis. …”
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Interpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making by Arnoldo Armenta-Castro, Orlando de la Rosa, Alberto Aguayo-Acosta, Mariel Araceli Oyervides-Muñoz, Antonio Flores-Tlacuahuac, Roberto Parra-Saldívar, Juan Eduardo Sosa-Hernández

“…Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. …”
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A UV to X-Ray View of Soft Excess in Type 1 Active Galactic Nuclei. I. Sample Selection and Spectral Profile by Shi-Jiang Chen, Jun-Xian Wang, Jia-Lai Kang, Wen-Yong Kang, Hao Sou, Teng Liu, Zhen-Yi Cai, Zhen-Bo Su

“…For the first time, we report a robust and quantitative correlation between the SE profile and SE strength (the ratio of SE luminosity to that of the primary power-law continuum in 0.5–2.0 keV), indicating that stronger soft excess is more likely to be po-like, or effectively has a higher E _cut . …”
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Revisiting Fat Graft Harvesting and Processing Technique to Optimize Its Regenerative Potential by Karina Karina, MD, PhD, Johannes A. Biben, MD, Krista Ekaputri, MD, Grady Krisandi, BMed, Imam Rosadi, MSc, Siti Sobariah, BSc, Irsyah Afini, MBiomed, Tias Widyastuti, BSc, Alfida Zakiyah, BSc, Difky Ernanda, BSc

“…ASCs isolated and after 2-passage culture were also higher for cannula A. Stromal cell quantification and viability were lowest in the noncentrifuged group (P < 0.05) and highest in the 600g centrifugation group. …”
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Neuroscience Literacy and Academic Outcomes: Insights from a University Student Population by Abeer F. Almarzouki, Arzan I. Alqahtani, Jumana K. Baessa, Dhuha K. Badaood, Rwdyn R. Nujoom, Raneem W. Malibari, Elaf M. Aljared, Reema S. Alghamdi

“…<b>Methods:</b> To address this gap, we surveyed 576 university students in different academic programmes to investigate the relationship between neuromyths and academic outcomes in university students. In this quantitative, cross-sectional study design, we used a validated neuroscience knowledge survey and the Revised Two-factor Study Process (R-SPQ-2F) Questionnaire. …”
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Can Viewing Modality Affect Frontal Mandibular Bone Height Measurement? A Comparison Between 3D Digital Imaging and Communications in Medicine Viewer and Printed Portable Document... by Michael Solomonov, Yoav Shapinko, Ella Lalum, Joe Ben Itzhak, Sapir Argaman, Matan Schottig, Amit Halpern, Nirit Yavnai, Idan Stiklaru

“…Changes in alveolar bone dimensions can result in malocclusion and require interdisciplinary approaches for correction. The accurate quantification of buccal bone dimensions is crucial for appropriate treatment planning and avoiding medico-legal issues. …”
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Electron-spin decoherence in trityl radicals in the absence and presence of microwave irradiation by G. Jeschke, N. Wili, N. Wili, Y. Wu, S. Kuzin, H. Karas, H. Hintz, A. Godt

“…Nevertheless, dressed-spin decoherence simulations for systems with more than 100 protons remain out of reach, whereas they provide only semi-quantitative predictions for 24 to 48 protons. Our experimental and simulation results indicate that solid-state magnetic resonance experiments with trityl radicals will profit from perdeuteration of the compounds.…”
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Role of cardiac CT in the diagnostic evaluation and risk stratification of patients with myocardial infarction and non-obstructive coronary arteries (MINOCA): rationale and design... by Konstantinos Tsioufis, Haralambos Karvounis, George Giannakoulas, Theodoros Karamitsos, Ronny R Buechel, Konstantinos Kouskouras, Ioannis Vogiatzis, Konstantinos Toutouzas, Nathaniel R Smilowitz, Georgios P Rampidis, Polydoros Ν Kampaktsis, Athanasios Samaras, Georgios Benetos, Andreas Α Giannopoulos, Alexandros Kallifatidis, Antonios Samaras, Stavros Hadjimiltiades, Antonios Ziakas, Catherine Gebhard, Panagiotis Prassopoulos, Harmony Reynolds

“…The primary endpoints are quantification of extent and severity of coronary atherosclerosis, description of high-risk plaque features and attenuation profiling of pericoronary fat tissue around all three major epicardial coronary arteries in relation to CMR. …”
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Systematic identification of the chemical components of leaves and roots of Didymocarpus heucherifolius Hand.-Mazz. based on UHPLC Q-Exactive Orbitrap MS technology coupled with mo... by Liangyin Shu, Shunli Xiao, Kailin Li, Huibin Luo, Meng Li, Qingrui Yang, Bowen Gao, Jiaxin Li, Fang Yan, Wei Cai

“…Therefore, a rapid and accurate identification and quantification are critical in phytochemical analysis. …”
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Simultaneous Determination of 13 Constituents of Radix Polygoni Multiflori in Rat Plasma and Its Application in a Pharmacokinetic Study by Wenhao Cheng, Yinghui Li, Wei Yang, Siyang Wu, Mengmeng Wei, Yang Gao, Chen Kang, Shuofeng Zhang, Yingfei Li

“…The lower limit of quantitation of the analytes was 0.1–1 ng/mL. The intrabatch and interbatch accuracies were 87.1–109%, and the precision was within the acceptable limits. …”
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Association Between SHBG Levels and Hypertensive Disorders of Pregnancy: A Systematic Review and Meta‐Analysis by Ajay Malvi, Muhammed Shabil, Mahalaqua Nazli Khatib, Roopashree R, Mandeep Kaur, Manish Srivastava, Amit Barwal, G. V. Siva Prasad, Pranchal Rajput, Rukshar Syed, Kamal Kundra, Vinamra Mittal, Amit Kumar, Pancham Cajla, Ganesh Bushi, Rachana Mehta, Zaid Khan, Prakasini Satapathy, Shilpa Gaidhane, Renu Sah

“…Inclusion criteria encompassed observational studies reporting quantitative risk estimates (risk ratios, odds ratios, or hazard ratios) for SHBG levels. …”
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Identification of Health Needs in Ukrainian Refugees Seen in a Primary Care Facility in Tenerife, Spain by Willian-Jesús Martín-Dorta, Cristo-Manuel Marrero-González, Eva-Lourdes Díaz-Hernández, Pedro-Ruymán Brito-Brito, Domingo-Ángel Fernández-Gutiérrez, Oxana-Migalievna Rebryk-De Colichón, Ana-Isabel Martín-García, Estrella Pavés-Lorenzo, María-Candelaria Rodríguez-Santos, Juan-Francisco García-Cabrera, Janet Núnez-Marrero, Alfonso-Miguel García-Hernández

“…Methods: A mixed-methods design was employed. Quantitative data were obtained through a descriptive analysis of health records, while qualitative data were collected via focus group interviews and thematic analysis of testimonies. …”
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Health systems analysis and evaluation of the barriers to availability, utilisation and readiness of sexual and reproductive health services in COVID-19-affected areas: a WHO mixed... by José Guilherme Cecatti, Kun Tang, Igor Toskin, Moazzam Ali, Caron Kim, Stefano Uccella, Simone Garzon, Ge Yang, Vanessa Brizuela, Pisake Lumbiganon, Seni Kouanda, Alexandra Sawyer, Nigel Sherriff, Alessia Savoldi, Anna Thorson, Marleen Temmerman, Jörg Huber, Soe Soe Thwin, Maddalena Cordioli, Massimo Mirandola, Jaime Vera, Armando Seuc, Laila Ladak, Debbie Williams, Luis Bahamondes, Deda Ogum Alangea, Abdu Mohiddin, Eunice Nahyuha Chomi, Sothornwit Jen, Modey Emefa, Hamsadvani Kuganantham, Armando Humberto Seuc, Eunice Chomi, Hanxiyue Zhang, Yifan Zhu, Yueping Guo, Chunxiao Peng, Kwasi Tropsey, Emefa Judith Modey, Rozina Karmaliani, Jen Sothornwit, Ferdinand Okwaro, Ranieri Poli, Joy Jerop Chebet, Hugo Gamerro Abrego

“…This is a standardised generic protocol designed for use across different global settings.Methods and analysis This study adopts both quantitative and qualitative methods to assess health facilities’ SRH service availability and readiness, and clients’ and providers’ perceptions of the availability and readiness of these services in COVID-19-affected areas. …”
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Development of a Novel Co-Amorphous Curcumin and L-Arginine (1:2): Structural Characterization, Biological Activity and Pharmacokinetics by Jose Antonio Mancillas-Quiroz, Miriam del Carmen Carrasco-Portugal, Karina Mondragón-Vásquez, Juan Carlos Huerta-Cruz, Juan Rodríguez-Silverio, Leyanis Rodríguez-Vera, Juan Gerardo Reyes-García, Francisco Javier Flores-Murrieta, Jorge Guillermo Domínguez-Chávez, Héctor Isaac Rocha-González

“…The mechanism of action was determined by cytokine quantification, and pharmacokinetic parameters were obtained through UPLC-MS/MS. …”
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Access to Healthy Built and Natural Environments and Physical Activity and Screen Time in New Zealand Adolescents: A Geospatial Cross‐Sectional Study by L. Marek, J. Wiki, S. Mandic, J. C. Spence, M. Smith, E. García Bengoechea, K. J. Coppell, S. Kingham, M. Hobbs

“…., fast‐food outlets) features and their mixture. Quantile g‐computation and multilevel mixed effects models, with adolescents nested within schools, examined associations between the environment and the two health behaviors. …”
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Decreased Spp1 Expression in Acute Myocardial Infarction after Ischemia and Reperfusion Injury by Ling Li, Jungang Huang, Zongkai Zhao, Zhuzhi Wen, Kang Li, Tianjiao Ma, Lisui Zhang, Junmeng Zheng, Shi Liang

“…In the end, we used quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting to measure and compare the expression of Spp1 in patients who accepted percutaneous coronary intervention. …”
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Signature for Pain Recovery IN Teens (SPRINT): protocol for a multisite prospective signature study in chronic musculoskeletal pain by Fiona Campbell, Jennifer Stinson, Sara E Williams, Christopher D King, Laura Simons, Massieh Moayedi, Robert C Coghill, Martin S Angst, Nima Aghaeepour, Brice Gaudilliere, Marina López-Solà, Marie-Eve Hoeppli, Emma Biggs, Ed Ganio, Kenneth R Goldschneider, Danielle Ruskin, Elliot J Krane, Suellen Walker, Gillian Rush, Marissa Heirich

“…This will facilitate risk stratification in adolescent patients with chronic MSK pain and more resourceful allocation of patients to costly and potentially burdensome multidisciplinary pain treatment approaches.Methods and analysis Here we describe a multi-institutional effort to collect, curate and analyse a high dimensional data set including epidemiological, psychometric, quantitative sensory, brain imaging and biological information collected over the course of 12 months. …”
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UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

“…The WHU-Hi hyperspectral remote sensing dataset is utilized as a case study to elucidate the advantages and limitations of various deep learning methods through rigorous qualitative and quantitative comparisons. The potential of UAV hyperspectral image classification techniques in addressing high-dimensional data and complex scenarios is also thoroughly described. …”
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Optimizing water-use efficiency under elevated CO₂: A meta-analysis of crop type, soil modulation, and enrichment methods by Ali Mokhtar, Hongming He, Samar Attaher, Ali Salem, Muneer Alam

“…Therefore, in this study, we have conducted a meta-analysis to quantitative statistical means among studies and discuss how WUE responds to eCO2 under pathway (C3 and C4), four enrichment methods and soil types based on 124 peer-reviewed studies and 1474 observations to provide an in-depth overview of how these factors interact under future CO₂ scenarios. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…However, the performance improved significantly after integrating the four models with Bayesian optimization (all models had R² > 0.56), which realized quantitative prediction capabilities for nitrate leaching loss concentrations. …”
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