Results 71 to 80 of about 126,068 (298)

Rapid identification of wood species using XRF and neural network machine learning

Scientific Reports, 2021
An innovative approach for the rapid identification of wood species is presented. By combining X-ray fluorescence spectrometry with convolutional neural network machine learning, 48 different wood specimens were clearly differentiated and identified with
Aaron N. Shugar, B. Lee Drake, Greg Kelley   +2 more
doaj   +1 more source

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

FEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner, Hainan Zhu, Carol Christine Bosholm, Heuy‐Ching Wang, Tracy Criswell, Anthony Atala, Jian‐Xing Ma, Yuanyuan Zhang   +7 more
wiley   +1 more source

Wood identification of 18th century furniture. Interpreting wood naming inventories [PDF]

, 2011
The 18th century Portuguese church furniture represents an extraordinary richness recognised worldwide, which demands safeguarding and valorisation.
Valente, Adelina, Pissarra, José, Bernal, Rocio Astrid   +2 more
core  

Wood products identification by internal characteristics readings [PDF]

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04., 2005
The traceability of products is an ever growing demand of quality for many areas. In the manufacturing process, traceability is required to follow-up all the production cycle of the product. Consequently, product traceability can result in a great control of the production process, thus allows improving control of production tools and reacting to their
Fuentealba, Cecilia, Simon, Christophe, Choffel, Denise, Charpentier, Patrick, Masson, Daniel   +4 more
openaire   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Chemometrics approach for species identification of pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki: -Species classification using near-infrared spectroscopy in combination with multivariate analysis [PDF]

, 2015
A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square ...
이, 원희, Horikawa, Yoshiki, Sugiyama, Junji, 황, 성욱   +3 more
core   +1 more source

AN INTELLIGENT RECOGNITION SYSTEM FOR IDENTIFICATION OF WOOD SPECIES [PDF]

Journal of Computer Science, 2014
The recognition of wood species is needed is many a reas like construction industry, furniture manufacturing, etc.,. The wood is traditionally cla ssified by human experts. But human identification of wood type is not accurate and the manual identifica tion is a time consuming process.
S. Mohan, K. Venkatachalapathy, P. Sudhakar   +2 more
openaire   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Machine Learning-Based Species Classification Methods Using DART-TOF-MS Data for Five Coniferous Wood Species

, 2022
Various problems worldwide are caused by illegal production and distribution of timber, such as deception about timber species and origin and illegal logging.
Ye-Seul Yoon, Ji-Young Ahn, Young-Pyo Jang, Jei-Wan Lee, Yun-Gyo Lee, Geonha Park   +5 more
core   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source