Sex Differences in the Variability of Physical Activity Measurements Across Multiple Timescales Recorded by a Wearable Device: Observational Retrospective Cohort Study by Kristin J Varner, Lauryn Keeler Bruce, Severine Soltani, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Anoushka Chowdhary, Leena Pandya, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E Mason, Benjamin L Smarr

“…In this study, we explore physical activity (PA) data as a variable more related to behavior, whereas temperature is more reflective of physiological changes. …”
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Association between oxygen debt (DEOx) variability over time and clinical outcomes in critically ill COVID-19 patients: an observational study by Eduardo Tuta-Quintero, Alirio Bastidas-Goyes, Henry Robayo-Amortegui, Michel Pérez-Garzón, Isacio Serna-Palacios, Cristian Peña-Quimbayo, Julian Espitia, Daniel Pinto, Johan Rincón, Juan Sánchez, Jesus Pérez

“…Between 6 and 12 hours, DEOx1 was 0.51 (SD: 11.49) vs.-2.27 (SD: 12.32) (p=0.016). At more than 24 hours, it was 3.21 (SD: 9.22) vs. -3.8 (SD: 20.91) (p<0.001). …”
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Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach. by Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, Sawanya Charoenlappanit, Sittiruk Roytrakul, Phrutthinun Surit, Ittipon Phoungpetchara, Samur Thanoi, Gavin P Reynolds, Sutisa Nudmamud-Thanoi

“…By targeting a specific Thai cohort, this research provides novel insights into the link between neuroinflammation and cognitive performance, advancing our understanding of cognitive variability, highlighting the role of biological markers in cognitive function, and contributing to developing more accurate machine learning models for diverse populations.…”
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INFLUENCE OF CONTROL GLYCEMIA ON PARAMETERS OF HEART RHYTHM VARIABILITY, QTAND JT-INTERVALS IN PATIENTS WITH ISCHEMIC HEART DISEASE AND TYPE 2 DIABETES by A. E. Kratnov

“…The study was parameters of heart rhythm variability, QT- and JT-intervals in patients with ischemic heart disease and type 2 diabetes (DM). …”
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Hα Variability of AB Aur b with the Hubble Space Telescope: Probing the Nature of a Protoplanet Candidate with Accretion Light Echoes by Brendan P. Bowler, Yifan Zhou, Lauren I. Biddle, Lillian Yushu Jiang, Jaehan Bae, Laird M. Close, Katherine B. Follette, Kyle Franson, Adam L. Kraus, Aniket Sanghi, Quang Tran, Kimberly Ward-Duong, Ya-Lin Wu, Zhaohuan Zhu

“…Across five epochs spanning 14 months, AB Aur b is over 20 times more variable than its host star; AB Aur’s H α emission changes by 15% while AB Aur b varies by 330%. …”
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Evaluate Group Sequential Design Sample Sizes for Reference-Scaled Average Bioequivalence Based on Monte Carlo Simulations in Highly Variable Drugs by FuDong Wen, Dan Liu, Wei Tian, Ce Ji, Yue Su, Miao He, Nan Yang, YuPeng Wang

“…Extensive Monte Carlo simulations have shown that the new method is more accurate in estimating sample size than the inflation factor method, and the type I error rate is controlled below 5% in all conditions. …”
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A comparative study of some kinematic variables between the success and failure attempts of the cardiovascular posterior skill of stability in the Basrah Parkour players by Hanan Mohammed, Dr. Zeina Abdul-salam

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Distribution and abundance of walleye pollock <i>Theragra chalcogramma</i> in the northwestern Bering Sea in the summer-fall period of 2020 and their interannual variability by V. I. Polyanichko, M. Y. Kuznetsov

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The Composition and Function of Bacterial Communities Associated with the Northern Root-Knot Nematode (<i>Meloidogyne hapla</i>) Populations Showing Parasitic Variability by Isaac Lartey, Gian M. N. Benucci, Terence L. Marsh, Gregory M. Bonito, Haddish Melakeberhan

“…The medium- and low-PV populations shared more bacterial composition than either one with the high-PV population. …”
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Evaluating climatic variability's impact on milk yield across climate zones: A machine learning-based comparative study of Switzerland and Thailand by Boonyarat Phadermrod, Varunya Attasena

“…Across all scenarios, previous milk yield is a stronger predictor than short-term meteorological variables, suggesting that recent production trends already reflect key weather effects. …”
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Improving Breakdown Voltage for a Novel SOI LDMOS with a Lateral Variable Doping Profile on the Top Interface of the Buried Oxide Layer by Jingjing Jin, Shengdong Hu, Yinhui Chen, Kaizhou Tan, Jun Luo, Feng Zhou, Zongze Chen, Ye Huang

“…In the high voltage blocking state, the high concentration ionized donors in the depleted LVID make the surface electric field of SOI layer (ES) more uniform and enhance the electric field of BOX layer (EI), which can prevent the lateral premature breakdown and result in a higher BV. …”
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Fall Risk Assessment in Active Elderly Through the Use of Inertial Measurement Units: Determining the Right Postural Balance Variables and Sensor Locations by Youssef Nkizi, Ornwipa Thamsuwan

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Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model by Rebecca H. Schwantes, Forrest G. Lacey, Simone Tilmes, Louisa K. Emmons, Peter H. Lauritzen, Stacy Walters, Patrick Callaghan, Colin M. Zarzycki, Mary C. Barth, Duseong S. Jo, Julio T. Bacmeister, Richard B. Neale, Francis Vitt, Erik Kluzek, Behrooz Roozitalab, Samuel R. Hall, Kirk Ullmann, Carsten Warneke, Jeff Peischl, Ilana B. Pollack, Frank Flocke, Glenn M. Wolfe, Thomas F. Hanisco, Frank N. Keutsch, Jennifer Kaiser, Thao Paul V. Bui, Jose L. Jimenez, Pedro Campuzano‐Jost, Eric C. Apel, Rebecca S. Hornbrook, Alan J. Hills, Bin Yuan, Armin Wisthaler

“…In general, the impact of using more complex chemistry on ozone and other oxidation products is more pronounced when using finer horizontal resolution where a larger number of chemical regimes are resolved. …”
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Isotopic variability of δ13C and δ15N signals in cave systems: insights from the blind tetra Astyanax mexicanus by Jorge Hernández-Lozano, Fernando Córdova-Tapia, Ramses Miranda-Gamboa, María de Lourdes Vázquez-Cruz, Carlos Garita-Alvarado, Norman Mercado-Silva, Claudia Patricia Ornelas-García

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Dynamic Accident Network Model for Predicting Marine Accidents in Narrow Waterways Under Variable Conditions: A Case Study of the Istanbul Strait by Serdar Yıldız, Özkan Uğurlu, Xinjian Wang, Sean Loughney, Jin Wang

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Heart Rate Variability Measurements Across the Menstrual Cycle and Oral Contraceptive Phases in Two Olympian Female Swimmers: A Case Report by Marine Dupuit, Kilian Barlier, Benjamin Tranchard, Jean-François Toussaint, Juliana Antero, Robin Pla

“…The heart rate variability (HRV), influenced by female sex hormone fluctuations, is an indicator of athletes’ adaptation. …”
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The uncertainty of estimation of doses to the bone marrow from ^89,90Sr due to the variability of the chemical composition and bone density by E. A. Shishkina, P. A. Sharagin, E. A. Tolstykh

“…The objective of this study is to assess the influence of variability of chemical composition and bone density on the results of dosimetric modeling. …”
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PREDICTION OF CARDIORESPIRATORY FITNESS IN THE BRAZILIAN POPULATION AGED 20 TO 59 YEARS: A NON-EXERCISE MODEL APPROACH WITH SELF-REPORTED VARIABLES by Geraldo Maranhao Neto, Rodrigo Pedreiro, Aldair Oliveira, Sergio Machado, Lucas Vieira, Silvio Marques Neto, Antonio Ponce Leon

“…ABSTRACT Unlike other more common health-related variables, cardiorespiratory fitness (CRF) is not frequently measured in the general population. …”
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Individual‐based analyses reveal effects of behavioral and demographic variables associated with multi‐annual reproductive success of male and female lake sturgeon by Thuy‐Yen Duong, James Bence, Patrick S. Forsythe, James A. Crossman, Edward A. Baker, Nicholas M. Sard, Kim T. Scribner

“…Spawning lake sturgeon (a total of 599 individuals where many were captured more than once based on 1024 total captures) and larvae (N = 3436) were genotyped during each of seven consecutive years (2001–2007). …”
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The prevalence of high-risk behaviors in the second year of public high school students based on demographic variables: A cross-sectional study by Rezvan Davoodi, Houshang Alijani Renani, Mehrnaz Moradi Kalboland, Amal Saki Malehi

“…Prevention of high-risk behaviors is always more effective, less costly, and easier than treatment.…”
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