Results 171 to 180 of about 338,609 (329)

Pressure Induced Molecular‐Arrangement and Charge‐Density Perturbance in Doped Polymer for Intelligent Motion and Vocal Recognitions

Advanced Materials, EarlyView.
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu, Lei Zhang, Jingyan Jiang, Jian Song, Zhongchao Zhou, Wujian Wu, Ziqian Cheng, Tengfei Yan, Hong Hu, Tingting Zhao, Zhen Xu, Siyi Luo, Hui Li, Jianhua Zhang, Charles H. Lawrie   +14 more
wiley   +1 more source

Modeling leaf area index using time-series remote sensing and topographic data in pure Anatolian black pine stands. [PDF]

Int J Environ Sci Technol (Tehran), 2023
Günlü A, Bulut S.
europepmc   +1 more source

In vitro evaluation of iron-deficiency tolerance in an endemic putative apple rootstock [PDF]

, 2012
In most species of fruit trees, iron deficiency-induced chlorosis causes severaleconomic damages. Recently, in vitro culture techniques have been used to assessrootstocks for susceptibility to iron deficiency-induced chlorosis.
Mahdavikia, Hassan, Mahna, Nasser
core   +2 more sources

Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications

Advanced Materials, EarlyView.
This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho, Jong Won Beak, Mingyu Sagong, Seongcheol Ahn, Jong Seok Nam, Il‐Doo Kim   +5 more
wiley   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen, Shicheng Fan, Zheng Qiao, Zixiong Wu, Baobao Lin, Zhijie Li, Michael A. Riegler, Matthew Yu Heng Wong, Arve Opheim, Olga Korostynska, Kaare Magne Nielsen, Thomas Glott, Anne Catrine T. Martinsen, Vibeke H. Telle‐Hansen, Chwee Teck Lim   +14 more
wiley   +1 more source

Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning. [PDF]

Int J Remote Sens, 2022
Binh NA, Hauser LT, Hoa PV, Thao GTP, An NN, Nhut HS, Phuong TA, Verrelst J.   +7 more
europepmc   +1 more source

High‐Energy‐Density Aqueous Zinc‐Ion Batteries: Recent Progress, Design Strategies, Challenges, and Perspectives

Advanced Materials, EarlyView.
Strategies achieving high‐energy‐density aqueous zinc‐ion batteries are summarized and analyzed from both their separate advancements and the integrated effectiveness in this review. Then, perspectives are given for valuable guidance for further development of high‐energy‐density aqueous zinc‐ion batteries.
Mingcong Tang, Qun Liu, Xiaohong Zou, Biao Zhang, Liang An   +4 more
wiley   +1 more source

Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery. [PDF]

Plant Methods, 2022
Wu S, Deng L, Guo L, Wu Y.
europepmc   +1 more source

ESTIMATION OF MONTHLY LEAF AREA INDEX USING REMOTE SENSING DATA

, 1999
T. Ishii, Makoto Nashimoto, Yoichi Miyanaga   +2 more
openalex   +2 more sources

Modelling Plant Responses to Elevated CO2: How Important is Leaf Area Index? [PDF]

, 2004
Frank Ewert
openalex   +1 more source