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3581
Severity of the present-day climate in the Polar regions of Siberia
Published 2019-06-01“…Together with the space-time dynamics of the actual TA values, important values of TA are its threshold values (more than 30 and more than 45 units) which determine a degree of discomfort. …”
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3582
Social Capital Measurement in Turkiye: Creating an Index by Province
Published 2022-12-01“…Since social capital does not change in a short period of time for countries, regions, and cities, the index values for the years between 2007, 2011 and 2018 were created with the linear interpolation method using the data, as applied in similar studies. …”
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3583
Test-retest and intrasession reliability of assisted sprint outcome measurements using a motorized resistance device
Published 2025-06-01“…Furthermore, most outcome variables were rated as good and ok for SWC. Similar findings were observed for intrasession reliability with very high ICC values for all outcome measurements except maximum acceleration (0.85–0.93) and 0–5 time for session 2–4 (0.88–0.92). …”
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3584
CIRCADIAN BLOOD PRESSURE MONITORING AND ARTERIAL TONE FEATURES IN YOUNG PEOPLE WITH HIGH NORMAL BLOOD PRESSURE
Published 2010-12-01“…In participants with normal or decreased arteriolar tone, the values of time index, BP variability, morning surge rate and mean 24 BP were significantly lower. …”
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3585
Optimization of Chromium (VI) Adsorption using Microalgae Biomass (Spirulina sp.) and its Application in Leather Tannery Waste
Published 2023-12-01“…The values of the solution pH, adsorption time, and concentration of the best metal solution were used to determine the center points of the optimization variables through Response Surface Methodology (RSM). …”
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3586
A Calculus of Evolving Objects
Published 2008-12-01“…To this end we present an original calculus in which objects can adapt their behaviour at run-time. Both objects and environments are represented by first-class mappings between variables and values. …”
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3587
Mathematical Modelling and Optimisation of Low-Temperature Drying on Quality Aspects of Rough Rice
Published 2020-01-01“…Response surface methodology (RSM) with a central composite design was employed to study the effects of variables, i.e., temperature (X1), time (X2), and air velocity (X3) on responses, i.e., head rice yield (HRY), hardness, lightness, and cooking time. …”
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3588
Operational Semantics of Annotated Reflex Programs
Published 2019-12-01“…It stores a complete history of changes of the values of shared variables for a more precise description of the time properties of the program and its environment. …”
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3589
Economic Impacts of Disasters and Economic Events on Commercial Fishery—The Case of Mississippi Blue Crabs
Published 2025-01-01“…The estimated marine economic recovery model explained 93 percent of the variations in real dockside values. Two independent variables are statistically significant, including blue crab landings and time. …”
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3590
Detecting the Spatiotemporal Relationship of Vegetation Changes with Climatic Elements in Mazandaran Province
Published 2020-08-01“…One of the most important of these indices is EVI, which has a high sensitivity to structural variables of vegetation. On the basis, data from the MODIS satellite data and products by making time series of EVI were applied in the current study to determine the dynamics of this index relative to two main climate variables (land surface temperature and rainfall) over a period of time. 2-Materials and Methods In this study, spatiotemporal analysis of GIS was used to model the relationship between vegetation dynamics based on EVI from MODIS satellite. …”
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3591
Temporal analysis of Phoma leaf spot of coffee plants at different altitudes
Published 2025-04-01“…ABSTRACT Phoma leaf spot (Phoma spp.) of coffee causes losses of between 15 and 43%, and presents significant variability over time and space, especially in mountain coffee production. …”
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3592
Integrated Machine Learning Models for Bakery Product Defect Prediction
Published 2025-04-01“…The article also proposes different methods for adjusting the values of control variables based on historical data. …”
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3593
Lower Extremity Kinematic Waveform Analysis During a Single Leg Drop Task – Including a Single Subject Design
Published 2022-12-01“…Six out of the nine participants had bilateral differences for all six kinematic time-series. # CONCLUSIONS The lack of significant differences at the group level may have been masked by movement variability amongst participants. …”
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3594
Intransitive Temporal Multi-agent Logic with Agents’ Multi-valuations. Decidability
Published 2025-03-01“…This logic is defined in a semantic way, as a set of formulas, which are true at linear models with multi-valued variables by agents’ and clusters of states. …”
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3595
A Stochastic Model for Adsorption Kinetics
Published 2021-01-01“…These ranges indicate the flexibility of the stochastic model to obtain fractional n values, resulting in high R2 values. The variability in each system was evaluated based on σ2. …”
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3596
Notes on Recent Achievements in Proving Stability using KeYmaeraX
Published 2021-12-01“…While the plant is basically an aggregation of continuous variables whose values change over time accordingly to physical laws, the controller can be seen as an algorithm formulated in a classical programming language. …”
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3597
Assessment of test-retest reproducibility by [18F]Bavarostat for PET imaging of HDAC6
Published 2025-06-01“…Conclusions The test-retest variability of [18F]Bavarostat V T values demonstrated favorable results for a one-month scan interval, comparable to the reported values.…”
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3598
Data-Driven Pavement Performance: Machine Learning-Based Predictive Models
Published 2025-04-01“…Traditional methods for predicting pavement performance rely on complex finite element modelling and empirical equations, which are computationally expensive and time-consuming. However, machine learning models offer a time-efficient solution for predicting pavement performance. …”
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3599
PENDEKATAN SISTEM 2D MODEL STREETER-PHELPS UNTUK MODEL POLUSI SUNGAI
Published 2011-03-01“…Applications to positive 2D system can follow Steeter-Phelps model to river flow model. by modifying the discrete values. mathematical model structure provided by the river flow at time step t is proportional to the length of rivers and water velocity. …”
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3600
APPLICATION AND PERFORMANCE COMPARISON OF MULTI-OUTPUT MACHINE LEARNING FOR NUMERICAL-NUMERICAL AND NUMERICAL-CATEGORICAL OUTPUTS
Published 2025-04-01“…Multi-Output Machine Learning is an advancement of traditional machine learning, designed to predict multiple output variables simultaneously while considering the relationships between these output variables. …”
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