Results 61 to 70 of about 492,455 (357)

Measuring spatio-temporal autocorrelation in time series data of collective human mobility

open access: yesGeo-Spatial Information Science, 2019
Massive spatio-temporal big data about human mobility have become increasingly available. Revealing underlying dynamic patterns from these data is essential for understanding people’s behavior and urban deployment.
Yong Gao   +3 more
semanticscholar   +1 more source

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

open access: yesAdvanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu   +3 more
wiley   +1 more source

Increased spatial and temporal autocorrelation of temperature under climate change

open access: yesScientific Reports, 2018
Understanding spatiotemporal variation in environmental conditions is important to determine how climate change will impact ecological communities. The spatial and temporal autocorrelation of temperature can have strong impacts on community structure and
Grace J. Di Cecco, T. Gouhier
semanticscholar   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

Analysis of City Demographics Using Spatial Data Mining

open access: yesProceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, 2018
The main purpose of data mining in private and public sector institutions is to process and analyse data with the aim of generating reliable information for decision-making.
Krystyna Kurowska   +2 more
doaj  

Spatial Autocorrelation Panel Regression: Agricultural Production and Transport Connectivity

open access: yesNetworks and Spatial Economics, 2017
Transport infrastructure is an important determinant of agricultural productivity. Using various new spatial data, the paper measures different types of transport accessibility and estimates their impacts in Ethiopia.
Atsushi Iimi   +2 more
semanticscholar   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

open access: yesAdvanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak   +14 more
wiley   +1 more source

Process Capability Analysis in the Presence of Autocorrelation [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2011
The classical method of process capability analysis necessarily assumes that collected data are independent; nonetheless, some processes such as biological and chemical processes are autocorrelated and violate the independency assumption.
Mohsen Mohamadi   +2 more
doaj  

An Observation of Autocorrelation of Wilson Loops on Lattice

open access: yes, 2001
An observation of autocorrelation of Wilson loops on lattice is presented, especially for the small seperation in Markov chain. We give a possible explanation for such behavior.
Chen, Ying, Liu, Da Qing, Wu, Ji Min
core   +1 more source

Increased Anti‐Psoriatic Effect of Anti‐Inflammatory Dendrimers Using Fluid Catanionic Vesicle‐Based Topical Formulations

open access: yesAdvanced Healthcare Materials, EarlyView.
Next‐Generation Psoriasis Therapy – With advanced dendrimer‐based formulations, this study paves the way for highly effective, skin‐permeable treatments. Encapsulated in fluid catanionic vesicles, IMD‐006 and its analogues show promising anti‐psoriatic effects offering a targeted, non‐invasive approach to managing chronic skin inflammation.
Ranime Jebbawi   +10 more
wiley   +1 more source

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