Results 111 to 120 of about 156,833 (308)

Error processes in the integration of digital cartographic data in geographic information systems. [PDF]

, 1992
Errors within a Geographic Information System (GIS) arise from several factors. In the first instance receiving data from a variety of different sources results in a degree of incompatibility between such information. Secondly, the very processes used to
Rybaczuk, Krysia
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Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

Advanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen, Jiahe Wei, Jonathan Cedernaes, Christian Benedict, Athanasios Tsanas, Zhi Cao, Xiao Tan   +6 more
wiley   +1 more source

John C. Stennis Space Center

, 1991
Information about the history and work of the John C. Stennis Space Center in Mississippi. Includes discussions of the physical layout and infrastructure; the NASA space program; remote sensing studies; geographic information systems; the U.S.
John C. Stennis Space Center
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The event of space: geographic allusions in the phenomenological tradition

, 2016
n this essay I analyse the role of space in key texts belonging to the tradition of phenomenology. Starting from the assumption that phenomenology is uniquely positioned to answer the epistemological challenges posed by today's theoretical discourses ...
Strohmayer, Ulf
core   +1 more source

Natural Variation of COLD and CATECHINS REGULATOR 1 Coordinately Fine‐Tunes Cold Tolerance and Tea Quality in Tea Plants

Advanced Science, EarlyView.
Multi‐trait genome‐wide association mapping identifies a central hub regulator, COLD AND CATECHINS REGULATOR 1 (CCR1), and its excellent natural allele variation, coordinately enhancing cold tolerance and promoting catechins biosyntheis. CsCCR1 interacts with CsCBF1/3 and is transcriptionally activated by CsLUX and CsKUA1 to promote catechins ...
Yanli Wang, Wei Tong, Qiong Wu, Didi Wu, Yanrui Zhang, Qijuan Gao, Fangdong Li, Zhaoliang Zhang, Wenjie Wang, Chuankui Song, Enhua Xia   +10 more
wiley   +1 more source

Novel algorithms for novel data : machine learning for neuromorphic data from the International Space Station

, 2022
Unlike traditional cameras that generate image frames at a fixed rate, neuromorphic sensors generate event streams based on changes of light intensity at each pixel.
Cohen, Gregory (R18542), Doucette, Stefan, Dickey, Kevin, Welsh, Tim, McHarg, Matthew, Swinicki, Tom, Lape, Nicole   +6 more
core  

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

SPACE-TIME LAGS: SPECIFICATION STRATEGY IN SPATIAL REGRESSION MODELS [PDF]

he purpose of this article is to analyse the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena.
Coro Chasco Yrigoyen, Fernando A. López Hernández   +1 more
core  

Predicting trajectory destinations based on diffusion model integrating spatiotemporal features and urban contexts

International Journal of Digital Earth
Accurately predicting travel destinations in a city from partial trajectories is crucial for many location-based services. This task faces two challenges: data sparsity and the complex probability distribution of destinations.
Junjie Hu, Yong Gao, Zhou Huang
doaj   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source