Results 131 to 140 of about 3,198,692 (262)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Morphometric Inverse Divergence Networks Combined with HYDRA Identify Parkinson's Disease Subtypes with Distinct Transcriptomic and Serum Biomarker Profiles. [PDF]

Int J Mol Sci
Bianco MG, Calomino C, Bonacci MC, Caligiuri ME, Cristiani CM, Scaramuzzino L, Buonocore J, Arcuri PP, Quattrone A, Quattrone A.   +9 more
europepmc   +1 more source

A least squares approach to Principal Component Analysis for interval valued data [PDF]

Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core  

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

Spectroscopic Monitoring and Chemometric-Based Feedback Control of the Diazotization Reaction. [PDF]

Org Process Res Dev
Fent M, Farkas A, Pataki H, Nagy ZK, Csontos I.   +4 more
europepmc   +1 more source

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

A Robust CS-DOA Method for Multi-UAV-Assisted Agricultural Vehicle Localization in Smart Tillage. [PDF]

Sensors (Basel)
Zhang J, Ma N, Li H, Dai F, Wang Y, Zhang X, Lu Z, Li L, Chen H, Zhang Y.   +9 more
europepmc   +1 more source

A note on least squares fitting of signal waveforms [PDF]

Signal waveforms are very fast dampening oscillatory time series composed of exponential functions. The regular least squares fitting techniques are often unstable when used to fit exponential functions to such signal waveforms since such functions are ...
Mishra, SK
core  

The diagnostic value of the circadian rhythm gene KLF10 in anxiety‐depressive disorders and its neuroimmune regulatory mechanisms

Animal Models and Experimental Medicine, EarlyView.
This graphical abstract illustrates the protective role and molecular mechanism of the circadian rhythm‐related gene KLF10, identified as a diagnostic biomarker and therapeutic target in anxiety‐depressive disorder. Model establishment and phenotypes: An anxiety‐depression model was successfully established by chronic restraint stress combined with ...
Anlan Liu, Weifeng Guo, Jianxiang Li, Tiange Zhang, Dan Xu   +4 more
wiley   +1 more source

Iteratively Weighted Least Squares as an Alternative Frontier Methodology, Applied to the Local Administrative Public Services Industry

, 2018
IPSE Studies is a collaboration between Delft University of Technology and foundation CAOP.
openaire   +3 more sources