Results 141 to 150 of about 274,578 (309)

Exposure to heavy metals, bisphenol A, and phthalates: Implications for precocious or delayed puberty. [PDF]

PLoS One
Choe SA, Kim E, Ha M.
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

The Potential of <i>Pontederia crassipes</i> to Remediate Heavy Metals in Water. [PDF]

Plants (Basel)
Fan Y, Zhang S, Wang X, Yang L, Li H, Gao K.   +5 more
europepmc   +1 more source

Physicochemical Properties and Heavy Metal Concentration in Soil of Industrial Area, Zirani, Savar, Dhaka

, 2015
Md. Shiblur Rahaman, Fakhrun Nessa, MM Hoque, Mausumi Rehnuma, Md. Shahidul Islam   +4 more
openalex   +2 more sources

Purcell‐Enhanced Spectrally Precise Emission in Dual‐Microcavity Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Spectrally precise emission from broadband organic light‐emitting diodes is realized via a dual‐microcavity strategy. This architecture achieves narrowband emission (full width at half maximum, FWHM = 21 nm) with ultrapure color approaching BT.2020 by enhancing the Purcell effect via coupling of excitons with dual‐microcavity resonance.
Jun Yong Kim, Sang Youn Lee, Kwan Hyun Cho, Yun Seon Do   +3 more
wiley   +1 more source

The Development Of An Inhibitive Assay For Heavy Metals Using The Acetylcholinesterase From Periophtalmodon schlosseri

, 2014
Siti Aqlima Ahmad
openalex   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Correction: Direct Regeneration of Spent Lithium-Ion Battery Cathodes: From Theoretical Study to Production Practice

Nano-Micro Letters
Meiting Huang, Mei Wang, Liming Yang, Zhihao Wang, Haoxuan Yu, Kechun Chen, Fei Han, Liang Chen, Chenxi Xu, Lihua Wang, Penghui Shao, Xubiao Luo   +11 more
doaj   +1 more source

Analytical Determination of Heavy Metals in Water Using Carbon-Based Materials. [PDF]

Molecules
Mukatayeva Z, Konarbay D, Bakytkarim Y, Shadin N, Tileuberdi Y.   +4 more
europepmc   +1 more source

Physico-Chemical and Heavy Metals in the Groundwater Samples Collected from Arsenic Endemic Areas of Shuklaganj (Unnao)

, 2012
Anju Agrawal, Nishi Kumar Shukla
openalex   +1 more source