Results 71 to 80 of about 159,168 (308)

Controllable synthesis of conjugated microporous polymer films for ultrasensitive detection of chemical warfare agents

Nature Communications, 2022
The high toxicity of nerve agents makes the development of fluorescence sensors with suitable limit of detection challenging. Here, the authors propose a sensor design based on a conjugated microporous polymer film for the detection of diethyl ...
Wanqi Mo, Zihao Zhu, Fanwei Kong, Xiaobai Li, Yu Chen, Huaqian Liu, Zhiyong Cheng, Hongwei Ma, Bin Li   +8 more
doaj   +1 more source

Developing STEM Identity of Nez Perce Students: Identifying Entry-Level Competencies for Forestry and Fire Management

, 2019
The purpose of this study was to identify the competencies that are required for entry-level forestry and fire management technicians. The strategy is a part of a larger goal to develop the STEM identity of Nez Perce students through the integration of ...
Dixon, Raymond A, Eitel, Karla, Zhu, Yudi   +2 more
core   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Practices of forest exploitation in priority investment projects: Benefits and implications [PDF]

, 2019
The paper discusses the topical issues of investment activities enhancement in the forest sector of the Russian economy by implementing the mechanism of priority investment projects in the field of forest exploitation - economic model of public-private ...
Pryadilina, N. K., Semin A. N., Skvortsov E., Zinovyeva, I. S.   +3 more
core  

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Perspectives de Recherche en Economie Forestière en France : Programmes Prioritaires pour la Période 2005-2008 [PDF]

The Laboratory of Forestry economics (LEF) was created in 2000 as a joint research unit of the French Institute of Forestry, Agricultural and Environmental Engineering (ENGREF) and the National Institute of Agronomic research (INRA).
Laboratoire d’Economie Forestière
core  

Fuzzy simulation of forest road surface parameters [PDF]

, 2019
The problem of construction of forest roads with the use of local low-strength substandard materials and industrial waste is considered. To solve the problem, the primary task is to develop a method for estimating the parameters of road surfaces taking ...
Kovalev, R. N., Kruchinin, I. N., Pobedinskiy, V. V.   +2 more
core  

Regionalization of landscape pattern indices using multivariate cluster analysis [PDF]

, 2014
This project was funded by the Government of Canada through the Mountain Pine Beetle Program, a six-year, $40 million program administered by Natural Resources Canada, Canadian Forest Service.
Long, Jed Andrew, Nelson, T.A., Wulder, M.A.   +2 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory

Frontiers in Forests and Global Change
IntroductionThis study delves into the spatiotemporal dynamics of land use and land cover (LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to forecast future scenarios from 2031 to 2051.
Muhammad Tariq Badshah, Muhammad Tariq Badshah, Khadim Hussain, Khadim Hussain, Arif Ur Rehman, Arif Ur Rehman, Kaleem Mehmood, Kaleem Mehmood, Kaleem Mehmood, Bilal Muhammad, Bilal Muhammad, Rinto Wiarta, Rinto Wiarta, Rato Firdaus Silamon, Rato Firdaus Silamon, Muhammad Anas Khan, Jinghui Meng, Jinghui Meng   +17 more
doaj   +1 more source