Results 81 to 90 of about 15,053,099 (290)

Hydrophobic MFI‐Type Zeolites via Alkali‐Cation‐Induced Defect Healing: Implications for Adsorbent and Catalyst Design

Advanced Materials, EarlyView.
Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler, Pau Ferri, Francisco Javier Escobar‐Bedia, Álvaro Mayoral, Alejandro Vidal‐Moya, Richard Kendra, Chen Lei, Miguel Palomino, Fernando Rey, Lukáš Grajciar, Christopher James Heard, Pedro Serna, Mercedes Boronat, Cristina Martínez, Manuel Moliner   +14 more
wiley   +1 more source

Prediction of body fat percentage using a new hybrid intelligent feature selection: ANN-KGA & ANN-IKGA [PDF]

PeerJ Computer Science
Before initiating obesity treatment, it is essential to determine body fat percentage (BFP), a measure that cannot be assessed through conventional weighing alone.
Tohid Yousefi, Özlem Varlıklar
doaj   +2 more sources

Accommodating Complex Substitution Patterns in a Random Utility Model of Recreational Fishing [PDF]

We employed a cross-nested logit (CNL) model that permits a rich pattern of substitution among alternatives within a closed form choice model. The specification we employed is ideal for applications with many choice alternatives, such as the 431 fishing ...
Boots, Barry, Boxall, Peter C., Hunt, Len M.   +2 more
core  

UNBALANCED NESTED COMPONENT ERROR MODEL FOR ESTIMATING PEST DAMAGE FUNCTIONS [PDF]

, 2017
A recently developed nested error component model for unbalanced panel data is used to estimate insect damage functions. The model estimates the separate random effects for location and year on the variability of yield loss and has smaller standard ...
Yang, Juan, Mitchell, Paul D.
core   +1 more source

2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures

Advanced Materials, EarlyView.
A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti, Simona Achilli, Masoumeh Alihosseini, Adriana E. Candia, Enrico Beltrami, Paolo D'Agosta, Alessio Orbelli Biroli, Francesco Sedona, Andrea Li Bassi, Jorge Lobo‐Checa, Carlo S. Casari   +10 more
wiley   +1 more source

Predicting soil δ13C patterns in Brazil using nested datasets, feature selection, and machine learning

Ecological Informatics
Soil δ13C is an integrative indicator of carbon cycling, vegetation composition, and land use dynamics. Despite increasing availability of high-resolution environmental datasets, predicting soil δ13C remains challenging due to collinear and scale ...
Osmar Luiz Ferreira de Carvalho, Glauber das Neves, João Paulo Sena-Souza, Alexandre Tadeu Brunello, Vinicius Vasconcelos, Daniel Guerreiro e Silva, Maria Gabriella da Silva Araújo, Deoclecio Jardim Amorim, Luiz Antonio Martinelli, Gabriela Bielefeld Nardoto, Osmar Abílio de Carvalho, Júnior   +10 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A Comparison of Confidence Interval Methods of Fixed Effect in Nested Error Regression Model

SDÜ Fen Bilimleri Enstitüsü Dergisi, 2016
Linear mixed-effects models are very popular and powerful tools in many scientific fields such as zoology, biology, and education.  Estimators of fixed effects do not only depend on the variances of error terms but they also depend on random terms in mixed-effect models.
AKDUR, Hatice Tül Kübra, ÖZONUR, Deniz, BAYRAK, Hülya   +2 more
openaire   +6 more sources

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]

, 2006
Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core   +1 more source