Results 51 to 60 of about 557,810 (361)
Increasing sedentary time, minimum dietary energy requirements, and food security assessment
Applied Economic Perspectives and Policy, EarlyView.Abstract We compute corrections for sedentary behavior in physical activity levels (PALs) and incorporate them along with corrections for over estimation of basal metabolic rates (BMRs) into threshold caloric intakes, known as minimum dietary energy requirements (MDERs).
Jacob Michels +2 more
wiley +1 more source
Humanities & Social Sciences CommunicationsDespite growing recognition of social bots’ role in swaying public opinion, evidence of their specific impact on public cognition remains limited. Applying the network agenda-setting theory and multiple regression quadratic assignment procedure (MRQAP ...
Han Lin +3 more
doaj +1 more source
Intrinsic Identification and Mitigation of Multipath for Enhanced GNSS Positioning
Sensors, 2020 In global navigation satellite system (GNSS)-based positioning and applications, multipath is by far the most obstinate impact. To overcome paradoxical issues faced by current processing approaches for multipath, this paper employs an intrinsic method to
Qianxia Li +6 more
doaj +1 more source
Labor shortages and farmer adaptation strategies
Applied Economic Perspectives and Policy, EarlyView.Abstract Labor shortages are a growing challenge for U.S. agricultural producers, but little is known about farmers' adaptation strategies. We estimate the statistical relationship between farm labor shortages and adaptation strategies among California farmers.
Myat Thida Win +2 more
wiley +1 more source
Frontiers in Psychology, 2022 Taking cities at prefecture-level and above in China as the research object, we theoretically analyze the effects of land finance on housing prices and economic growth as well as the effects of housing prices on economic growth, consider the mediating ...
Qian Sun +7 more
doaj +1 more source
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion [PDF]
arXiv, 2023 Although generative AI has been successful in many areas, its ability to model geospatial data is still underexplored. Urban flow, a typical kind of geospatial data, is critical for a wide range of urban applications. Existing studies mostly focus on predictive modeling of urban flow that predicts the future flow based on historical flow data, which ...
arxiv
Advanced Energy and Sustainability Research, EarlyView.It is very difficult to predict spot prices in Japan, where solar power generation has entered the market. Herein, It is attempted to predict the timing of sudden price changes by using price sensitivity, which will begin to be made public in 2021. The impact of price sensitivity on forecasting will be examined by making other variables general.
Shinji Hirota +4 more
wiley +1 more source
Impact of urbanization on predator and parasitoid insects at multiple spatial scales [PDF]
, 2019 Landscapes are becoming increasingly urbanized, causing loss and fragmentation of natural habitats, with potentially negative effects on biodiversity. Insects are among the organisms with the largest diversity in urbanized environments.
Caruso, Valerio +5 more
core +2 more sources
Advanced Energy and Sustainability Research, EarlyView.A rapid design strategy is presented for efficient Al‐doped Mn3O4‐based photocatalysts by integrating density functional theory calculations, machine learning (ML) modeling, and experiments. The optimized Al0.5Mn2.5O4/35 wt%‐Ag3PO4 heterojunctions achieved a 27‐fold improvement in methylene blue degradation under visible light compared to pristine ...
Haoxin Mai +6 more
wiley +1 more source
Journal of Advances in Modeling Earth Systems, 2021 Vegetation plays a key role in regulating the material and energy exchanges among the biosphere, the atmosphere, and the pedosphere. Modeling and predicting vegetation key variables such as leaf area index (LAI) and gross primary productivity (GPP) are ...
Zhicheng Zhang, Qinchuan Xin, Wanjing Li
doaj +1 more source