Results 61 to 70 of about 8,480,938 (247)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

open access: yesAdvanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Mapping Large-Scale Local Climate Zones From High-Resolution Multiview Satellite Imagery

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Large-scale and reliable local climate zone (LCZ) information is crucial for the study of urban climate, such as urban heat island. Existing research for LCZ generation predominantly relies on planar information derived from single-view medium-resolution
Chun Liu   +4 more
doaj   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

open access: yesAdvanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Midwestern Regional Climate Center [PDF]

open access: yes, 2001
Made available in DSpace on 2016-11-14T22:36:27Z (GMT). No. of bitstreams: 2 ISWSIEM2001-01.pdf: 146176 bytes, checksum: 791a8da476fabb8bec8c3d10ae0a0993 (MD5) license.txt: 3973 bytes, checksum: 6c1c5beee39794d995a5ff442f5bd9ab (MD5) Previous issue ...
Midwestern Regional Climate Center
core  

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

open access: yesAdvanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao   +19 more
wiley   +1 more source

Mapping local climate zones for a Japanese large city by an extended workflow of WUDAPT Level 0 method

open access: yes, 2020
World Database and Access Portal Tools (WUDAPT) Level 0 method announced a workflow of mapping Local Climate Zones (LCZs). However, the low accuracy of LCZ classifications in Level 0 especially for the built-up areas caused by recognition of classes and ...
Ishida, Y   +5 more
core   +1 more source

Disrupted TFEB/GDNF–cAMP/ATP Coupling Underlies Astrocytic Dysfunction and Depression in LRRK2 G2019S Parkinson's Mice

open access: yesAdvanced Science, EarlyView.
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao   +5 more
wiley   +1 more source

Enhancing Global‐Scale Urban Land Cover Representation Using Local Climate Zones in the Community Earth System Model

open access: yesJournal of Advances in Modeling Earth Systems
Urban areas are increasingly vulnerable to the impacts of climate change, necessitating accurate simulations of urban climates in Earth system models (ESMs) in support of large‐scale urban climate adaptation efforts.
Yuan Sun   +8 more
doaj   +1 more source

A profile of local government climate actions in Ireland [PDF]

open access: yes, 2020
With climate change already being experienced in many countries worldwide there is growing acceptance that significant, far-reaching actions are required to minimise its impacts.
Clarke, Darren, O'Donoghue-Hynes, Bernie
core  

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

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