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721
PREDICTION OF ECONOMIC GROWTH RATE OF TUBAN REGENCY WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM ALGORITHM
Published 2025-07-01“…In the application of ANFIS, two types of variables are required, namely, input variables which include road length, the number of electricity customers, the number of health workers, the number of high schools, and the number of cases of ordinary theft. …”
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722
The Truck Platooning Routing Optimization Model Based on Multicommodity Network Flow Theory
Published 2023-01-01“…To explore the impact of the restrictions on the number of trucks in truck platooning on overall fuel consumption savings, road networks are constructed and the truck platooning routing optimization model is solved by the commercial solver CPLEX. …”
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723
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724
Interpretable machine learning insights into the association between PFAS exposure and diabetes mellitus
Published 2025-09-01Get full text
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725
Physiotherapy in improving the interincisal mouth opening in oral submucous fibrosis: Meta-analysis
Published 2025-07-01Get full text
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726
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727
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728
Development of a Virtual Telehandler Model Using a Bond Graph
Published 2024-12-01“…The electrification of non-road mobile machinery (NRMM), particularly self-propelled Rough-Terrain Variable Reach Trucks (RTVRT) equipped with telescopic booms, presents notable stability challenges. …”
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729
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730
Study on Mechanical Properties and Damage Evolution of High-Porosity Concrete under Cyclic Loading and Unloading
Published 2021-01-01“…Understanding the mechanical properties and energy response of high-porosity concrete under the cyclic loading and unloading is the foundation of road construction in sponge city. In this study, the concrete with the porosity of 15% was taken as the research object, and the cyclic loading and unloading tests on the high-porosity concrete were performed under the stress amplitude of 25 MPa, 30 MPa, and 35 MPa in the elastic stage. …”
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731
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732
Forward stratigraphic modeling in rift sedimentary basins
Published 2025-12-01Get full text
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733
Spatiotemporal heterogeneity of bicycle ridership based on GTWR model.
Published 2025-01-01“…In previous studies on the relationship between the built environment and bicycle behavior, the built environment variable only took into account the number or density of facilities. …”
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734
Operator realizations of non-commutative analytic functions
Published 2025-01-01Get full text
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735
Multi-path adjustment in digital transformation and enhancement of enterprise competitiveness
Published 2025-07-01Get full text
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736
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737
Aggregate crash prediction model based on gravity model: Introducing crash risk distribution concept
Published 2025-03-01“…For model calibration, the frequency of severe crashes (including the total of fatal and injury crashes) between each origin-destination (OD) pair of traffic analysis zones (TAZs) in the city of Qom in Iran has been used as the dependent variable. The number of trip distributions by purpose, traffic characteristics on the links, and road network characteristics has been used as the explanatory variables. …”
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738
How Do Urban Environments Impact Walkability? An Analysis Using Multi-Source Data of Beijing
Published 2024-12-01“…Contributions: First, the study developed a matrix of dependent variables for street usage frequency and walking experience, and an independent variable matrix for street environment factors. …”
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739
The risks of unconcern: low sensitivity to threat can have unfortunate consequences
Published 2024-11-01“…Each one of us is confronted with warnings of danger or threats to wellbeing in our everyday life, whether in the form of certain road signs, Public Service Announcements, ominous changes in bodily functioning, or cautionary tales heard from family or friends. …”
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740
Evaluating Effect of Operating Speed on Crashes of Rural Two-Lane Highways
Published 2023-01-01“…Recently, the role of speed in crashes has been recognized as a significant factor, prompting its incorporation as a variable in crash modeling. Nevertheless, previous research studies that examined speed-related factors are mostly concentrated on higher functional class roads where speed data are abundant. …”
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