Results 231 to 240 of about 276,691 (330)

Future Range Shifts and Diversity Patterns of Antarctic Lecideoid Lichens Under Climate Change Scenarios

Global Change Biology Communications, EarlyView.
Modeling of current and future spatial distribution of Antarctic lecideoid lichens shows that warming will strongly increase the potential habitat. Under three climate‐change scenarios, most fungal and algal partners are projected to expand inland. Overall, climate change drives widespread range shifts and promotes colonization of interior Antarctica ...
Anna Götz, Mikhail Andreev, Robert R. Junker, Lea Maislinger, Leopoldo G. Sancho, Wolfgang Trutschnig, Ulrike Ruprecht   +6 more
wiley   +1 more source

Linked collectors and determiners for: The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve.

Bionomia
openalex   +1 more source

Eliminating disorderly A sites: Significantly enhanced external quantum efficiency of Bi3+ luminescence in double perovskite phosphor

InfoMat, EarlyView.
The structural transformation from disorder to order was achieved by regulating the A‐site of double perovskite, boosting IQE and EQE to 78% and 43%, respectively. The excellent luminescence properties of the representative CYNO:1%Bi3+ phosphor highlight the multifunctional application potential in solid‐state lighting, fingerprint recognition, and ...
Rui Wang, Asif Ali Haider, Hongzhi Zhang, Haonan Cui, Yiting Huang, Yuyao Fu, Zizhuo Yao, Shuangbao Wang, Jiyang Xie, Hong Li, Zhi Xie, Jing Zhu   +11 more
wiley   +1 more source

Wing mechanics and acoustic communication of a new genus of sylvan katydid (Orthoptera: Tettigoniidae: Pseudophyllinae) from the Central Cordillera cloud forest of Colombia. [PDF]

PeerJ
Holmes LB, Woodrow C, Sarria-S FA, Celiker E, Montealegre-Z F.   +4 more
europepmc   +1 more source

Peer Review #2 of "Characteristics of Central American brocket deer resting sites in a tropical mountain cloud forest in eastern Mexico (v0.1)"

, 2022
Patricia Black‐Décima
openalex   +1 more source

Application Research of Microstructured Flexible Sensors in Rehabilitative Wearable Sensing

iNew Medicine, EarlyView.
ABSTRACT Flexible sensors enable the continuous, real‐time monitoring of the physiological and movement signals of patients, providing data support for precise rehabilitation strategies and playing a crucial role in rehabilitation medicine. However, traditional rigid sensors are often incompatible with dynamic body contours due to their high material ...
Ling Zhu, Xinrui Shi, Zihao Song, Zhihao Qin, Runhuai Yang   +4 more
wiley   +1 more source

Use of high throughput DNA analysis to characterize the nodule-associated bacterial community from four ages of Inga punctata trees in a Costa Rican cloud forest. [PDF]

AIMS Microbiol
Eaton WD, Hamilton DA, Chen W, Lemenze A, Soteropoulos P.   +4 more
europepmc   +1 more source

Cloud fraction estimation using random forest classifier on sky images [PDF]

S. K. Sarangi, Chandan Sarangi, Niravkumar Patel, B.L. Madhavan, Shantikumar S. Ningombam, B. Ravindra, M. Venkat Ratnam   +6 more
openalex   +1 more source

Advances and challenges in point‐of‐care testing for pathogenic bacteria in battlefield injuries

Interdisciplinary Medicine, EarlyView.
This review explores trauma‐associated bacterial species, summarizes these biosensor advancements, addresses fabrication challenges, outlines future directions, and aims to guide POCT biosensor development for combat/trauma care bacterial detection.
Junjie Fan, Shuai Liu, Dan Luo, Hengjun Zhang, Xianling Dai, Hanqing Xu, Man Shen, Yingchun Huang, Yupeng Long, Ming Chen, Qiaofeng Li, Jing Bao   +11 more
wiley   +1 more source

Decoding temporal miRNA signatures of semen under in vitro exposure for forensic time since deposition estimation using machine learning‐driven modeling

Interdisciplinary Medicine, EarlyView.
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai, Qiong Lan, Tong Xie, Qinglin Liu, Ming Zhao, Xiaolian Wu, Xin Shi, Ruonan Shen, Yiman Wu, Chen Mao, Bin Cong, Bofeng Zhu   +11 more
wiley   +1 more source