Results 101 to 110 of about 1,424,917 (298)

Sampling system for estimating woody debris in an urban mixed tropical forest

Anais da Academia Brasileira de Ciências, 2018
Woody debris, defined as standing and downed deadwood, consists in an essential component of the forest carbon stock. However, few studies have been carried out to get an efficient and accurate sampling procedure for estimating it. This work proposes two
SYLVIO PÉLLICO NETTO, ALLAN L. PELISSARI, ANDRESSA BRIBEIRO, SEBASTIÃO A. MACHADO, RODRIGO G.M. NASCIMENTO   +4 more
doaj   +1 more source

Remote sensing and forest inventories in Nordic countries - roadmap for the future

, 2018
The Nordic countries have long traditions in forest inventory and remote sensing (RS). In sample-based national forest inventories (NFIs), utilization of aerial photographs started during the 1960s, satellite images during the 1980s, laser scanning ...
Sveriges lantbruksuniversitet., Nilsson, Mats,, Olsson, Håkan,, Fridman, Jonas,   +3 more
core   +1 more source

Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape

Advanced Science, EarlyView.
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim, Minju Lee, Yiming Wang, Eunjin Choi, Ji Sun Park, Kyungmin Park, Hayoung Jeon, Donghyun Kim, Donghyun Lee, Yeeun Lee, Kee‐Pyo Kim, Eunha Kim, Heebeom Koo   +12 more
wiley   +1 more source

A Novel Sparse Cellular Labeling System with Tunable Gradients and Long‐Term Stability

Advanced Science, EarlyView.
The Tri‐M (Multi‐recombinase, Multi‐recognition site, and Multi‐nested) sparse cellular labeling system, built upon competitive recombination, integrates transgenic mice with viral injection to achieve tunable and long‐term stable sparse labeling of specific cell types with region selectivity, from sparse populations to individual cells, facilitating ...
Xiaomei Tang, Zhenye Hou, Li Lu, Yige Song, Changdong Chai, Lanfang Li, Yuhang Shen, Shuo Wang, Ya Zhao, Jinyu Zeng, Yiqing Guo, Fuliang Jiang, Zhigao Xiang, Hao Li, Aodi He, Bing Zhang, Youming Lu, Xinyan Li   +17 more
wiley   +1 more source

Machine‐Learning‐Assisted Impedance Component Analysis Enables Standardizable Surface Protein Analysis of Extracellular Vesicles Using Engineered Nanovesicles

Advanced Science, EarlyView.
This study establishes a universally applicable framework for vesicle surface analysis by combining engineered amyloid‐β‐displaying nanovesicles with machine‐learning‐optimized impedance spectroscopy. Equivalent‐circuit modeling reveals that membrane capacitance correlates with the surface protein states, enabling label‐free quantification of vesicle ...
Jaeyoon Song, Neethu Ramakrishnan, Sehyeon Kim, Huiseop Lee, Youngeun Kwon, Jinsik Kim   +5 more
wiley   +1 more source

Retrospective Forest Volume Estimation in Southern Chile Using ALOS-PALSAR for Carbon MRV Applications

Remote Sensing
Accurate historical estimates of forest carbon stocks are essential for greenhouse gas inventories and REDD+ Measurement, Reporting and Verification (MRV) systems, particularly in remote and persistently cloudy regions where field inventories and optical
Pablo Alejandro, Cristina Gómez, Georgina Trujillo, Javier Velázquez   +3 more
doaj   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Efficient Sampling Methods for Forest Inventories and Growth Projections

, 2019
For operational forest management, a forest inventory is commonly conducted to determine the timber stocking and the value of standing trees in a stand. With time and costs constraints, appropriate sampling designs and models are required to perform the ...
Yang, Sheng-I
core  

The MoSR‐MoDde1 Regulatory Axis: A Novel Determinant of DMI Sensitivity and a Target for Sustainable Rice Blast Control

Advanced Science, EarlyView.
The transcription factor MoSR governs DMI fungicide sensitivity in Magnaporthe oryzae through dual regulation of ergosterol biosynthesis and the detoxification enzyme MoDde1. Targeting MoDde1 via a small‐molecule inhibitor or host‐induced gene silencing enhances DMI efficacy against rice blast, offering a sustainable disease management strategy ...
Fan‐Zhu Meng, Wen‐Kai Wei, Meng‐Yao Wu, Min‐Zheng Cai, Yu‐Fu Wang, Li Zhao, Shuai Meng, Liang‐Fen Yin, Guido Schnabel, Wei‐Xiao Yin, Chao‐Xi Luo   +10 more
wiley   +1 more source

Components of Manufacturing Inventories [PDF]

This paper presents a structural model of production and inventory accumulation based on the hypothesis of cost minimization. It differs from previous attempts in several respects.
Jerry R. Green, Alan J. Auerbach
core