Ten recommendations for scanning foraminifera by X-ray computed tomography by A. Searle-Barnes, A. Brombacher, A. Brombacher, O. Katsamenis, O. Katsamenis, K. Rankin, M. Mavrogordato, T. Ezard

“…</p> <p>The values of these parameters can exhibit significant variability across individuals, based on the specific needs of the study, the equipment used, and the unique attributes of the samples under consideration. …”
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The Influence of Game Intervals on Physical Performance Demands in Elite Futsal: Insights from Congested Periods by Augusto Pereira, João Nuno Ribeiro, Pedro E. Alcaraz, Rubén Herrero Carrasco, Bruno Travassos, Tomás T. Freitas, Konstantinos Spyrou

“…However, when analyzed relative to effective time, non-significant differences were found. In summary, CPs seem to not affect the match external load, but players performed better in terms of DEC and COD following 3 days of interval when compared to 2 days when analyzed with absolute values.…”
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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

“…The model achieved R2 values of 0.997 for training and 0.978 for testing. …”
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Cuff-based blood pressure measurement: challenges and solutions by N. Pilz, D. S. Picone, A. Patzak, O. S. Opatz, T. Lindner, L. Fesseler, V. Heinz, T. L. Bothe

“…It is recommended to diagnose white-coat and masked hypertension as well as nocturnal BP and dipping, which are the BP values most predictive for major adverse cardiac events. …”
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A Pioneering Experiment Combining Single-antenna and Aperture-synthesis Data to Measure Faraday Rotation with GMIMS and the CGPS by Anna Ordog, Jo-Anne C. Brown, T. L. Landecker, Alex S. Hill, Roland Kothes, Jennifer L. West, John M. Dickey, Marijke Haverkorn, Ettore Carretti, Alec J. M. Thomson, Andrea Bracco, D. A. Del Rizzo, Ryan R. Ransom, Robert I. Reid

“…Smooth polarized emission regions require the large-scale sensitivity of the single antenna to illuminate the Faraday rotation, while aperture synthesis reveals small-scale RM variability. While these maps show magnetic field structures on the full range of spatial scales they probe, the RM values should be interpreted with caution, as the narrow λ ^2 coverage limits sensitivity to Faraday complexity. …”
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An automated platform for simultaneous, longitudinal analysis of engineered neuromuscular tissues for applications in neurotoxin potency testing by Jacob W. Fleming, Molly C. McCloskey, Kevin Gray, David R. Nash, Vincent Leung, Christos Michas, Shawn M. Luttrell, Christopher Cavanaugh, Julie Mathieu, Shawn Mcguire, Mark Bothwell, David L. Mack, Nicholas A. Geisse, Alec S.T. Smith

“…Dose-response studies using botulinum neurotoxin showed loss of function in a dose- and time-dependent manner (EC50 − 0.11 ± 0.015 µg). Variability of the EC50 values between 2 different iPSC differentiations of both cell types and 2 users was less than 2 %. …”
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Identifying subtypes of longitudinal motor symptom severity trajectories in early Parkinson’s disease patients by Xiaozhou Xu, Xiaozhou Xu, Shushan Zhang, Chuanying Xu, Wei Zhang, Hui Zhao, Hui Zhao, Yumeng Liu, Shilei Zhai, Jie Zu, Jie Zu, Zhining Li, Lishun Xiao, Lishun Xiao, Lishun Xiao

“…Shapley values were calculated to interpret individual variability.ResultsThe optimal clusters by SOMs are 3. …”
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Biomarker and clinical data–based predictor tool (MAUXI) for ultrafiltration failure and cardiovascular outcome in peritoneal dialysis patients: a retrospective and longitudinal st... by Eva María Arriero-País, María Auxiliadora Bajo-Rubio, Roberto Arrojo-García, Pilar Sandoval, Guadalupe Tirma González-Mateo, Patricia Albar-Vizcaíno, Gloria del Peso-Gilsanz, Marta Ossorio-González, Pedro Majano, Manuel López-Cabrera, Gloria del Peso-Gilsanz

“…The machine learning-based software MAUXI provides applicability of ET-LDA models with ≤38 variables to predict PD endurance and type of PD technique failure related to peritoneal membrane deterioration.…”
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Optimal control for high-precision repeat ground-track orbits via convex optimization by Yanchao HE, Lei ZHANG, Yijun YANG, Qian CHEN

“…As each single velocity impulse can be constrained in magnitude and the time discretization can be extremely fine, both impulsive and continuous maneuvers can be addressed. …”
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Stages of Carboniferous-Triassic magmatism in the Black Sea region based on isotope-geochronological study of detrital zircons from jurassic coarse clastic strata of the Mountainou... by T. V. Romanyuk, N. V. Kuznetsov, S. V. Rud’ko, A. A. Kolesnikova, D. V. Moskovsky, A. S. Dubensky, V. S. Sheshukov, S. M. Lyapunov

“…This period was bounded in time by the Late Devonian and Early Jurassic relative magmatic lulls. …”
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Features of the systemic influence of cervical cancer on peripheral blood and hemostasis according to the tumor histological subtype by T. V. Sushinskaya, N. I. Stuklov, E. V. Schepkina, A. I. Kuznetsov, S. V. Еpifanova, A. D. Kaprin

“…Of statistical significance, the presence of the glandular component in the tumor increases the systemic effect of CC on blood parameters, hemostasis, markers of inflammation and iron metabolism: leukocytosis and maximum erythrocyte sedimentation rate values compared to CC, high fibrinogen and the level of soluble fibrin-monomer complexes which increased activation of coagulation hemostasis along the common coagulation pathway (thrombin time) (p&lt;0.001). …”
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Breeding and genetic peculiarities of modern spring barley varieties for grain number per main ear by С. П. Васильківський, В. М. Гудзенко, О. А. Демидов, О. Б. Барбан, С. С. Коляденко, І. В. Смульська

“…The prevalence of dominant effects of genes in the phenotypic expression of the number of grains per main ear causes the need for sufficient sample size of hybrid material and points to the expediency of conducting a more “rigid” selection for phenotype in later generations. At the same time, the considerable contribution of additive effects and high values of heritability indices give reason to predict the efficiency of selections aimed at increasing the trait in created hybrid material. …”
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Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke by Angelo Auricchio, Tommaso Scquizzato, Federico Ravenda, Ruggero Cresta, Stefano Peluso, Maria Luce Caputo, Stefano Tonazzi, Claudio Benvenuti, Antonietta Mira

“…Background: Predicting the incidence of time-sensitive cardiovascular diseases like out-of-hospital cardiac arrest (OHCA), ST-elevation myocardial infarction (STEMI), and stroke can reduce time to treatment and improve outcomes. …”
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Equilibria (equilibrium states) problem statement for city transport systems by I. E. Agureev, A. V. Akhromeshin, V. A. Pyshnyi

“….), depending on the type of vehicle, individual preferences, knowledge about the state of the transport system and other factors.At the same time, the transport system is considered as an object of research within the framework of the theory of macrosystems. …”
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Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps by S. Boitard, A. Mialon, S. Mermoz, N. J. Rodríguez-Fernández, P. Richaume, J. C. Salazar-Neira, S. Tarot, Y. H. Kerr

“…It shows more interannual variability than the other available time series and presents globally lower AGB estimates. …”
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C-Reactive Protein Monitoring Identifies Urinary Tract Infections in Ambulatory Kidney Transplant Recipients by Emily Wang, Abdelhamid Aboghanem, Niki Dacouris, Lindita Rapi, Sami Mahmud, Weiqiu Yuan, Rosane Nisenbaum, Michelle M. Nash, G. V. Ramesh Prasad

“…Bivariate comparisons were performed by t test, Wilcoxon 2-sample test for continuous variables, chi-square, or Fisher’s exact test as appropriate, with clinically significant variables entered into multivariable logistic regression models to determine associations. …”
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Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Vilma Fernanda Noboa Silva, Rodney Orlando Santillán Murillo, Rolando Fabián Zabala Vizuete, Paul Awoyera, Siva Avudaiappan

“…These data entries represented ten (10) components of the steel fiber reinforced concrete such as C, W, FAg, CAg, PL, SF, FA, Vf, FbL, and FbD, which were applied as the input variables in the model and Cs, which was the target. …”
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Ecological and climatic transferability of airborne lidar-driven aboveground biomass models in Piñon-Juniper woodlands by Jessie F. Eastburn, Michael J. Campbell, Philip E. Dennison, William Rl Anderegg, Kevin J. Barrett, Patrick A. Fekety, Samuel W. Flake, David W. Huffman, Steven A. Kannenberg, Kelly L. Kerr, Andrew J. Sánchez Meador, Jody C. Vogeler

“…The dynamism of PJ woodland extent and abundance over space and time is attributable to variability in species compositions, stand structures, climatic conditions, and disturbance patterns. …”
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New equations to estimate 24-h urinary creatinine excretion by Gabriela Callo-Quinte, Jorge Leonid Aching Samatelo, Romildo Luiz Monteiro Andrade, Jose Geraldo Mill

“…Since the developed equations showed accuracy and outperformed previous ones, we recommend their use according to variables availability.…”
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A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement by Ziang Niu, Ting Huang, Chengjia Xu, Xinyue Sun, Mohamed Farag Taha, Yong He, Zhengjun Qiu

“…An efficient pixel filter-based depth inpainting algorithm was then designed to inpaint void and flying pixels and restore consistent, high-confidence depth values within semantic regions. A validation of this approach through leaf area measurements in practical maize field applications—challenged by a limited workspace, constrained viewpoints, and environmental variability—demonstrated near-laboratory precision, achieving an MAPE of 6.549%, RMSE of 4.114 cm², MAE of 2.980 cm², and <i>R²</i> of 0.976 across 60 maize leaf samples. …”
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