Results 71 to 80 of about 481,083 (295)

Bridging the Risk Modeling Gap: Expanding Climate-Related Risk Insurance Through Global Risk Assessment [PDF]

open access: yes, 2016
In 2015, more than 1,000 natural disasters inflicted some $100 billion worth of economic damages around the world. These natural disasters included severe storms, flooding, extreme temperatures, droughts, and wildfires—all of which are expected to ...
Ben Bovarnick   +2 more
core  

Vulnerability Assessment of Settlements During Emergencies [PDF]

open access: yes, 2018
During emergencies which occur as a result of uncontrolled effects of natural disasters, major technical and technological accidents and major epidemics of infectious diseases, the health and life of people and the persistent environmental degradation ...
Djordvevic, Amelija   +3 more
core   +1 more source

Edible Pouch Motors

open access: yesAdvanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi   +3 more
wiley   +1 more source

LEARNING EFFECT AND SOCIAL CAPITAL: A CASE STUDY OF NATURAL DISASTER FROM JAPAN [PDF]

open access: yes
Using Japanese prefecture level data for the years between 1988 and 2001, this paper explores how and the extent to which social capital has an effect on the damage resulting from natural disasters.
yamamura, eiji
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Climate Change, Natural Disasters and Migration: An Empirical Analysis in Developing Countries [PDF]

open access: yes
The aim of this paper is to assess the relationship between natural disasters caused by climate change and migration by examining migration rates and levels of education in developing countries.
Drabo, Alassane, Mbaye, Linguère Mously
core  

A Self‐Healing Permanent Magnet Putty for Soft Robot Skins With Force Sensing and Functional Recovery

open access: yesAdvanced Robotics Research, EarlyView.
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao   +5 more
wiley   +1 more source

Machine learning approaches for mapping and predicting landslide-prone areas in São Sebastião (Southeast Brazil)

open access: yesNatural Hazards Research
This study employs machine learning techniques to map and predict landslide-prone areas in São Sebastião, Brazil, a region susceptible to landslides due to its steep terrain and intense rainfall.
Enner Alcântara   +4 more
doaj   +1 more source

Origami‐Inspired Structural Design for Aquatic‐Terrestrial Amphibious Robots

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a lightweight amphibious origami robot actuated by a single shape memory alloy wire. A rigid foldable origami structure with displacement amplification enables efficient terrestrial crawling and aquatic swimming. The addition of fan‐shaped units allows controllable turning in both environments.
Weiqi Liu   +5 more
wiley   +1 more source

Multi-Source Dataset Assessment and Variation Characteristics of Snow Depth in Eurasia from 1980 to 2018

open access: yesAtmosphere
Snow is an indicator of climate change. Its variation can affect surface energy, water balance, and atmospheric circulation, providing important feedback on climate change. There is a lack of assessment of the spatial characteristics of multi-source snow
Kaili Cheng   +3 more
doaj   +1 more source

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