Assessing the Impact of Environmental and Management Variables on Mountain Meadow Yield and Feed Quality Using a Random Forest Model by Adrián Jarne, Asunción Usón, Ramón Reiné

“…Seasonal climate variability and agronomic management profoundly influence both the productivity and nutritive value of temperate hay meadows. …”
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Optimum Combination of Spectral Variables for Crop Mapping in Heterogeneous Landscapes based on Sentinel-2 Time Series and Machine Learning by J. G. de Oliveira Júnior, J. C. D. M. Esquerdo, J. C. D. M. Esquerdo, R. A. C. Lamparelli, R. A. C. Lamparelli

“…Given the results found, the C2 classification scenario (with bands B3, B4, B5, B6, B7, B8, and B8A and the NDRE1, RESI, and MSR indexes) demonstrated the best LULC classification accuracy at the crop pattern level, compared to the other scenarios, with average values of 0.91, 0.88, 0.91, 0.89, and 0.89 (Global Accuracy, Producer Accuracy, User Accuracy, Kappa index, and F1-Score, respectively, for the TempCNN model), the which emphasized the importance of both qualitative and quantitative variability of sampling data and variables based on the Red Edge region for improving LULC classification processes in large-scale heterogeneous landscapes.…”
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The impacts of different eyes, individual differences, and different time points in healthy rats on the variability of visual electrophysiological examination indicators by Hong Chen, Yu Cheng, Ke Diao, YiFan Wang, Jing An, Haijiang Zhang, RongRong Li, Dan Zhang, SuMian Cheng, Minglian Zhang, LiFei Wang

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Heart Rate Variability Analysis in Congestive Heart Failure: The Need for Standardized Assessment Protocols by Monika Míková, David Pospíšil, Jan Řehoř, Marek Malik

“…Heart rate variability (HRV) analysis is a noninvasive tool that allows cardiac autonomic control to be assessed. …”
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Determination Method of Variable T2 Cutoff Value in NMR Logging of Low Permeability Reservoir in Daqing Oilfield X7 Area by LI Pengju, CHEN Chonghang, XU Ruogu, LIU Shuo, SHEN Zhongshan, FU Yan

“…Finally the distribution of T2 cutoff values in the T2 spectrum of multiple cores is analyzed, and a method for continuously calculating the variable T2 cutoff values is established according to the T2 spectrum morphology. …”
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Evaluation of the Variability of Micro and Macro Spray Parameters as a Function of Sampling Time Using a Laser Doppler Analyzer by Dariusz Lodwik, Mariusz Koprowski

“…The research was conducted for variable measurement times. The main issue of the research was an attempt to reduce the measurement cycle time, important in the case of point tests performed with an analyzer. …”
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Trends and Variability of PM2.5 at Different Time Scales over Delhi: Long-term Analysis 2007–2021 by Chetna, Surendra K. Dhaka, Gagandeep Longiany, Vivek Panwar, Vinay Kumar, Shristy Malik, A. S. Rao, Narendra Singh, A. P. Dimri, Yutaka Matsumi, Tomoki Nakayama, Sachiko Hayashida

“…Abstract The present study investigated the long-term inter-annual, seasonal, and monthly trend analysis and variability of PM2.5 on different times scales over the national capital, Delhi, India, using high-resolution surface observations from six stations during 2007–2021. …”
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The Pivotal Role of Evaporation in Lake Water Isotopic Variability Across Space and Time in a High Arctic Periglacial Landscape by Pete D. Akers, Ben G. Kopec, Eric S. Klein, Hannah Bailey, Jeffrey M. Welker

“…The δ18O, δ2H, and deuterium‐excess values of these samples, representing 196 unique sites, grant unprecedented insight into the environmental drivers of the regional hydrology and water isotopic variability. …”
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Uncovering the Uncertainties and Variability of Travel Time and Fuel Consumption Using Floating Car Data: A Case Study in Wuhan by Wenxin Teng, Fei Liu, Jianbing Yang, Chaoyang Shi, Yunfei Zhang, Fuqiang Wang

“…Coefficients of variation are consistently higher on weekdays than on weekends, emphasizing increased variability in urban mobility. Hot spot analysis further shows that areas with dense traffic signals and commercial activities tend to form clusters of high travel time and fuel consumption. …”
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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

“…To address the limitations of learning path planning such as insufficient personalization, the study proposes a learning path planning method based on learning path variability and ant colony optimization. First, dynamic time regularization is used to obtain learning path variability, and the K-means algorithm is used to classify students' learning types. …”
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Control of Wind-Power Systems Operating at Variable Wind Speeds to Optimize Energy Capture by Cristian Paul Chioncel, Samuel Ciucurita, Elisabeta Spunei

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Scheduled Review Methods for Controllable State Variables

“…In such systems, when the cost of reviews and out-of-range values of the state variable are considerable, this method may not be optimal. …”
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Blood pressure variability — 15 years later by V. M. Gorbunov, E. V. Platonova

“…Blood pressure variability (BPV) has been studied for a long time, and recently important new information has been obtained about the prognostic value of BPV and the influence of antihypertensive therapy on it. …”
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Spatial-Temporal Variability of the δ18O Values and the Snow Cover Structure on the Territory of the Meteorological Observatory of the Lomonosov Moscow State University by S. A. Sokratov, A. Yu. Komarov, Yu. K. Vasil’chuk, N. A. Budantseva, J. Yu. Vasil’chuk, Yu. G. Seliverstov, P. B. Grebennikov, D. M. Frolov

“…The isotopic composition (δ18O values) of snow layers, constructing snow cover to the time of reaching maximum snow water equivalent (SWE), was compared with the isotopic content of snow precipitated over the whole the winter season 2018/19 on the territory of the Meteorological Observatory of the Lomonosov Moscow State University (Moscow, Russia). …”
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Generalized Complex Variables of Drying Kinetics in Calculations of Drying Duration of Flat Thin Wet Materials by A. I. Ol’shanskii, A. N. Golubev

“…When processing the experiment, the relative drying rate, generalized drying time, the ratio of drying time by periods and the ratio of the current moisture content to the critical one were accepted as stable complex generalized variables when processing the experiment. …”
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Two-point boundary value problem for a partial differential equation in spaces of periodic functions by V.S. Ilkiv, Z.M. Nytrebych, P.Y. Pukach, M.I. Vovk

“…We investigate the two-point in time boundary value problem for the partial differential equations of the second-order with one spatial variable and constant coefficients. …”
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Design of a Real-Time Adaptively Tuned Dynamic Vibration Absorber with a Variable Stiffness Property Using Magnetorheological Elastomer by Toshihiko Komatsuzaki, Yoshio Iwata

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High Variability in Human Sperm Membrane Potential over Time Can Limit Its Reliability as a Predictor in ART Outcomes by Tomás J. Steeman, Carolina Baro Graf, Analia G. Novero, Mariano G. Buffone, Dario Krapf

“…Our results showed that <i>E</i>m values exhibited significant intra-donor variability over time (<i>p</i> = 0.007), with approximately half of the donors crossing the −48.6 mV functional threshold across sessions. …”
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An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer by Mohamed Abdel-Aty, Tarek Hasan, B M Tazbiul Hassan Anik

“…This research proposes an integrated and advanced real-time crash risk prediction framework for Variable Speed Limits (VSL) and Hard Shoulder Running (HSR) implemented freeways considering their operational periods. …”
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Evaluating interannual variability in 1-month CFSv2 forecasts with different lead times at monthly and daily scales in South Korea by Subin Ha, Quan J Wang, Jina Hur, Eun-Soon Im

“…Among various long-range forecast models, the NCEP Climate Forecast System version 2 (CFSv2) stands out with its 6 h initialization intervals and 9-month prediction range, providing a valuable resource for assessing forecast skill across different lead times. In this light, this study assesses the 1-month CFSv2 forecast skill over South Korea, focusing on the impact of varying lead times on predictability of interannual variability of temperature and precipitation. …”
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