Results 191 to 200 of about 103,207 (299)

Effectiveness of voluntary isocapnic hyperpnoea for mitigating hypoxemia and acute mountain sickness in normobaric hypoxia: a randomized crossover pilot trial. [PDF]

Sci Rep
Kowalski T, Rębiś K, Wilk A, Szwed P, Grochowska J, Debevec T.   +5 more
europepmc   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Analysis of Migration and Adaptive Evolution in Tibetan Sheep Populations. [PDF]

Animals (Basel)
Zhang W, Yuan C, Guo T, Chen B, Wang F, Liu J, Lu Z.   +6 more
europepmc   +1 more source

Quantifying aboveground herbaceous biomass in grassy ecosystems: a comparison of field and high‐resolution UAV‐LiDAR approaches

Remote Sensing in Ecology and Conservation, EarlyView.
The abundance of herbaceous vegetation in grassy ecosystems—which cover >25% of the world's land surface—is highly variable and impacts key ecological processes including carbon sequestration and support for grazing wildlife and livestock. Here, we present a method for using high‐resolution, UAV‐borne Light Detection and Ranging (LiDAR) to estimate ...
Tyler C. Coverdale, Peter B. Boucher, Jenia Singh, Andrew B. Davies   +3 more
wiley   +1 more source

Vaginal microecological characterization of women of childbearing age at different altitudes: a multi-omics exploration. [PDF]

BMC Womens Health
Wang Y, Xiang X, Jia Z, Zhang L, Ma Y, Lu M, Xu D, Chen D.   +7 more
europepmc   +1 more source

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

Remote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken, Kevin M. Ringelman, Anne Mini, J. Dale James, Mike Mitchell   +4 more
wiley   +1 more source

From appraisal to word-of-mouth: affective pathways through awe and restoration in high-altitude ecocultural tourism using a mixed-methods design. [PDF]

Front Psychol
Liao W, Khan MS, Liao G.
europepmc   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

Remote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan, Cristina Banks‐Leite, Mirko Kovac, Jenna Lawson, Lorenzo Picinali, Sarab S. Sethi   +5 more
wiley   +1 more source

Fetal growth and congenital heart disease at high altitude. [PDF]

Philos Trans R Soc Lond B Biol Sci
Giussani DA.
europepmc   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source