Spatiotemporal characteristics of future precipitation variability in the Tianshan Mountain region of China by Xianglin Lyu, Junkai Du, Yaqin Qiu, Yangwen Jia, Chunfeng Hao, Hao Dong

“…New hydrological insights for the region: A negative correlation was observed between precipitation variability and precipitation, with areas experiencing high precipitation usually having low variability. …”
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Heart rate variability in soccer players and the application of unsupervised machine learning by Wollner Materko, Sávio Andrei Medeiros Miranda, Thiago Henrique Lobato Bezerra, Carlos Alberto Machado de Oliveira Figueira

“…Aim: This study aimed to investigate the relationship between heart rate variability (HRV) parameters and performance in soccer players. …”
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Is there hidden genetic variability in the species of Steindachneridion Garavello, 2005 (Siluriformes: Pimelodidae)? by Daniele Aparecida Matoso, Hallana Cristina Menezes da Silva, Augusto Luiz Ferreira Júnior, Fábio Porto-Foresti, Ricardo Utsunomia, Fernanda Dotti do Prado, Roberto Ferreira Artoni

“…Overall, Steindachneridion species displayed high haplotype diversity paired with low nucleotide diversity, indicating a demographic expansion event after reduced effective population size. …”
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Contributions of interspecific hybrids to genetic variability in Glycyrrhiza uralensis and G. glabra by Jungeun Kim, Jeonghoon Lee, Jong-Soo Kang, Hyeonah Shim, Daewon Kang, Sae Hyun Lee, Jae-Pil Choi, Hui-Su Kim, Min Sun Kim, Yong Il Kim, Yunji Lee, Zafarjon Ziyaev, Yong Kook Shin, Jong Bhak, Tae-Jin Yang

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Pheochromocytoma and heart rate variability: a systematic review and meta-analysis by Frédéric Dutheil, Naira El Gritli, Valentin Magnon, Marek Zak, Reza Bagheri, Julien Steven Baker, Ukadike Chris Ugbolue, Jean-Baptiste Bouillon-Minois, Igor Tauveron, Luc Vialatte

“…Conveniently, sympathovagal activity can be measured non-intrusively and pain-free through heart rate variability (HRV). Objective: To conduct a systematic review and meta-analysis on the impact of pheochromocytoma on HRV parameters. …”
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PO52 | Comprehensive assessment of variables affecting spontaneous platelet aggregation

“…Our results demonstrate that SPA occurs to variable extents in most individuals without cardiovascular events and is influenced by individual variables. …”
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Swift-XRT and NuSTAR Monitoring of Obscuration Variability in Mrk 477 by N. Torres-Albà, Z. Hu, I. Cox, S. Marchesi, M. Ajello, A. Pizzetti, I. Pal, R. Silver, X. Zhao

“…Mrk 477 presents frequent obscuring column density variability, on timescales as short as ∼2 weeks. The probability of drawing a pair of obscuration-variable observations for Mrk 477 when having two, three, and four observations is 40%, 78%, and 95%, respectively. …”
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Meta-analysis of legumes and groundnut production trends and variability in the Global South by Francis Kloh Fukah, Aneth Japhet Magubika, George Muhamba Tryphone, Eliakira Kisetu Nassary

“…This study examined the production trends and variability of grain legumes in the Global South from 2000 to 2022, with a particular emphasis on groundnut yields and regional differences. …”
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Age-related changes in brain signal variability in autism spectrum disorder by Priyanka Sigar, Nicholas Kathrein, Elijah Gragas, Lauren Kupis, Lucina Q. Uddin, Jason S. Nomi

“…Abstract Background Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. …”
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Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy by Jura Borissova, Radostin Kurtev, Josemanuel Escobar, Javier Alonso-García, Nicolas Medina, Javier Osses, Zhen Guo, Philip W. Lucas, Michael Kuhn, Dante Minniti, Kevin R. Covey, Roberto K. Saito, Francisco Förster

“…Variability analysis of 6.35 million sources identified 606 variable stars. …”
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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

“…Only a few AI studies investigated the clinical variables associated with cognitive worsening in AD. …”
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Safety Performance Functions for Low-Volume Roads by Gianluca Dell’Acqua, Francesca Russo

“…These roadways are characterized by low-volume conditions with a traffic flow of under 1000 vpd and they are situated partly on flat/rolling terrain covering 231.98 km and partly on mountainous terrain for 751.60 km. …”
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Factors associated with low birth weight in low-income populations in the Western Balkans: insights from the multiple indicator cluster survey by Dragana Grbic, Zorica Terzic Supic, Jovana Todorovic, Dejan Nesic, Svetlana Karic, Aleksandar Jurisic, Sanja Kocic, Zoran Bukumiric, Andja Cirkovic, Svetlana Jankovic

“…A multivariate logistic regression model with a low birth weight of newborns as an outcome variable showed the association between women’s illiteracy (OR: 1.741; 95% CI: 1.060–2.859) and antenatal care not provided by a medical doctor (OR: 2.735; 95% CI: 1.229–6.087).DiscussionIlliteracy and limited access to medical doctor services during pregnancy were factors that increased the likelihood of low birth weight in newborns born to women living in low-income households in the selected Western Balkans populations. …”
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Low-Cost Hyperspectral Imaging in Macroalgae Monitoring by Marc C. Allentoft-Larsen, Joaquim Santos, Mihailo Azhar, Henrik C. Pedersen, Michael L. Jakobsen, Paul M. Petersen, Christian Pedersen, Hans H. Jakobsen

“…Using a one-dimensional convolutional neural network, we reached a high average classification precision, recall, and F1-score of 99.9%, 89.5%, and 94.4%, respectively, demonstrating the effectiveness of our custom low-cost HSI setup. This work paves the way to achieving large-scale and automated ecological monitoring.…”
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Evolutionary Period Changes for 25 X-Ray Binaries and the Measurement of an Empirical Universal Law for Angular Momentum Loss in Accreting Binaries by Bradley E. Schaefer

Subjects: “…Cataclysmic variable stars…”
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A Low-cost Optocoupler-Based Isolator System for IoT-Based Voltage Measurement in Low and High voltage DC Applications by Ayomide Oluwaseyi Agunloye

“… Internet of things (IoT) connected devices operate at extremely low voltages that are susceptible to common-mode noise and electromagnetic interference. …”
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Effect of low pull headgear on head position by Santosh Kumar, Kalyana Chakravarthy Pentapati

“…Objective: To evaluate changes in head position following the use of low pull headgear (LHG) and compare these changes with an untreated control group. …”
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Photometry and Low Dispersion Spectroscopy with ESA Gaia by René Hudec, Vojtěch Šimon, Lukáš Hudec

“…We will review the available low dispersion spectral surveys and discuss their use for a simulation and tests of the Gaia algorithms and Gaia data.…”
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Low Mortality Rates Among Tropical Ferns by Laura Salazar, Jürgen Kluge, Jürgen Homeier, Michael Kessler

“…This study investigates the mortality rates of terrestrial ferns along an elevational gradient (500–4000 m a.s.l.) in Ecuador, focusing on relationships with environmental variables, community characteristics, and plant size. …”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…Group testing is an efficient screening method that reduces the number of tests by pooling multiple samples, making it especially effective in low-prevalence settings. This strategy gained significant attention during the COVID-19 pandemic, and has since been applied to detect various infectious diseases, including HIV, chlamydia, gonorrhea, influenza, and Zika virus. …”
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