Article
Forestry
Seongsu Park, Byung-Dae Park, Yongku Kim
Summary: This study analyzed the influence of manufacturing variables on the properties of MDF panels using Lasso and Elastic-net regression. The results showed that panel density and modulus of rupture were closely related to specific manufacturing variables. However, it is still unclear which variables predominantly affect the formaldehyde emission of MDF.
EUROPEAN JOURNAL OF WOOD AND WOOD PRODUCTS
(2023)
Article
Polymer Science
Roberto Magalhaes, Beatriz Nogueira, Samaritana Costa, Nadia Paiva, Joao M. Ferra, Fernao D. Magalhaes, Jorge Martins, Luisa H. Carvalho
Summary: This paper investigates the effect of panel moisture content on the physico-mechanical properties of MDF boards. It was observed that moisture content has a strong influence on internal bond strength, with a linear relationship between IB and MC. The study also found that this effect is reversible, with internal bond strength increasing again after drying.
Article
Polymer Science
Waheed Gul, Hussein Alrobei
Summary: The research demonstrated that adding graphene oxide nanoparticles to medium-density fiberboard can significantly enhance both mechanical and physical properties, including modulus of rupture, thickness swelling, and water absorption. The addition of nanoparticles also impacted the curing time of the resin and improved its thermal stability.
Article
Forestry
Oswaldo Moreno-Anguiano, Alain Cloutier, Jose Guadalupe Rutiaga-Quinones, Christian Wehenkel, Rigoberto Rosales-Serna, Pamela Rebolledo, Claudia E. Hernandez-Pacheco, Artemio Carrillo-Parra
Summary: This study evaluated the feasibility of using Agave durangensis Gentry bagasse fibers for the production of wood-based medium density fiberboard (MDF). It was found that the addition of 10% and 30% ADBF could meet the quality requirements of the panels, and up to 30% ADBF can be used.
Article
Automation & Control Systems
Viviana Consonni, Giacomo Baccolo, Fabio Gosetti, Roberto Todeschini, Davide Ballabio
Summary: This paper introduces the regression toolbox for MATLAB, which provides various regression methods for understanding the relationship between independent variables and response. The toolbox also includes modules for prediction and variable selection, making it a useful tool for data analysis in different scientific fields.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2021)
Article
Genetics & Heredity
Huanhuan Zhao, Zibei Lin, Majid Khansefid, Josquin F. Tibbits, Matthew J. Hayden
Summary: In plant breeding programs, incorporating correlated traits into genomic selection models can improve prediction accuracy. This study explored the genetic correlation between important agronomic traits in safflower and found moderate correlations between grain yield and plant height, as well as low correlations between grain yield and days to flowering. Including plant height in the models led to a 4%-20% improvement in prediction accuracy for grain yield. Selection responses for grain yield varied across sites, but simultaneous selection for grain yield and seed oil content showed positive gains across all sites. Incorporating gxE interaction into genomic selection resulted in more balanced selection responses across sites. Genomic selection is a valuable tool for breeding high grain yield, oil content, and adaptable safflower varieties.
FRONTIERS IN GENETICS
(2023)
Article
Engineering, Biomedical
Mark Taylor, Marco Viceconti, Pinaki Bhattacharya, Xinshan Li
Summary: Logistic regression classification (LRC) is used to predict femoral fracture risk, but models based solely on bone density perform poorly. By incorporating active shape and appearance models, a few key modes were identified to significantly influence fracture strength prediction.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2021)
Review
Chemistry, Applied
Adriano de Araujo Gomes, Silvana M. Azcarate, Paulo Henrique Gonsalves Dias Diniz, David Douglas de Sousa Fernandes, Germano Veras
Summary: Food analysis is crucial for ensuring the quality and integrity of food products, and selecting effective variables is key to improving the accuracy and robustness of models. By discarding non-informative and redundant signals, more accurate and interpretable models can be established.
Article
Construction & Building Technology
Yue Liu, T. Tafsirojjaman, Attiq Ur Rahman Dogar, Alexander Hueckler
Summary: The structural performance of a newly developed lightweight and thermally efficient alternate of normal concrete, infra-lightweight concrete (ILC), has been improved by using a layer of high strength concrete (HSC) on each side of the ILC. The bond strength between ILC and HSC was enhanced by carbon and glass fiber-reinforced polymers, with glass fiber reinforcement showing the most significant improvement in bond strength.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Soil Science
Yongpeng Nie, Wankui Ni, Xiangfei Lu, Wenxin Tuo, Kangze Yuan
Summary: Understanding the mechanical behavior of compacted loess is crucial for construction on the Loess Plateau. Through a series of tests, including compression tests, shear tests, and scanning electron microscope imaging, the variations in compressibility, shear strength, and microstructure of compacted loess at different dry densities and water contents were investigated. The relationship between pore microscopic indicators and mechanical parameters was analyzed through statistical analysis. The results showed that the compression coefficient decreases with increasing dry density and cohesion and internal friction angle decrease with increasing water content. The structure of compacted loess evolves from overhead-mosaic-flocculation with increasing compactness and saturation.
SOIL & TILLAGE RESEARCH
(2023)
Article
Materials Science, Multidisciplinary
Mohammed A. Al-Osta, Abdulrahman Mohammed Sharif, Shamsad Ahmad, Saheed Kolawole Adekunle, Mohammed Al-Huri, Abdulla Mohammed Sharif
Summary: This study evaluated the effects of hybridization of straight and hooked steel fibers and curing methods on the mechanical properties of ultra-high-performance concrete (UHPC). The results showed that a higher amount of hooked fibers significantly improved the modulus of elasticity, flexural tensile strength, and flexural toughness of UHPC. UHPC cured using steam exhibited better performance compared to water curing in all aspects.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Chemistry, Analytical
Juliana da Cruz Souza, Sofacles F. C. Soares, Lauro Cassio M. de Paula, Clarimar J. Coelho, Mario Cesar Ugulino de Araujo, Edvan Cirino da Silva
Summary: This paper introduces a bat-inspired algorithm for variable selection in linear discriminant analysis (LDA). The algorithm simulates the echolocation behavior of bats when searching for prey and uses a cost function associated with the average risk of misclassification in LDA. The results show that the algorithm performs similarly to genetic algorithm (GA-LDA) and successive projection algorithm (SPA-LDA) in classifying coffee and vegetable oil samples, and outperforms them in classifying ovarian cancer samples.
MICROCHEMICAL JOURNAL
(2023)
Article
Acoustics
Jian Guo, Wu Guo
Summary: With the construction and development of half-through arch bridges and the increase of bridge service time, the damage to arch bridge suspenders has become more prominent. Real-time monitoring and regular detection of suspender health, as well as timely and accurate detection of damage location and extent, are of great importance in evaluating reliability and residual life. This paper proposes a prediction model based on an improved BP neural network by fireworks algorithm to address suspender damage identification difficulties. The model is verified and applied to a long-span arch bridge, providing a basis for bridge safety assessment.
SHOCK AND VIBRATION
(2023)
Article
Mechanics
S. M. Churilov
Summary: In this article, the linear approximation is used to study the propagation of long internal waves in a two-layer fluid with a free boundary in a channel of variable depth and width. By using the shallow-water approximation and assuming ideal, immiscible liquids with a small density difference, the conditions for wave propagation without reflection are determined and analyzed. Three classes of flows that satisfy these conditions are identified and compared with previous results for surface waves. Several specific solutions are presented to illustrate the general analysis of the problem. The results have implications for understanding natural phenomena involving internal waves.
Article
Automation & Control Systems
Hubin Liu, Yuhui Yuan, Ge Wang, Weijie Xu, Longlian Zhao, Junhui Li
Summary: This paper proposes a variable selection method called IFRI based on the information gain and Fisher's criterion. It improves the interpretability of selected variables by selecting variables that have strong associations with the property of interest. IFRI does not depend on the PLS model parameters, making it more interpretable and reproducible for the same dataset. It can be applied to variable selection of different types of high-dimensional data by combining with other modeling methods.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Forestry
James H. Perdue, John A. Stanturf, Timothy M. Young, Xia Huang
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2019)
Article
Chemistry, Multidisciplinary
Qijun Zhang, Qian Li, Timothy M. Young, David P. Harper, Siqun Wang
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2019)
Article
Statistics & Probability
Timothy M. Young, Olga Khaliukova, Nicolas Andre, Alexander Petutschnigg, Timothy G. Rials, Chung-Hao Chen
JOURNAL OF APPLIED STATISTICS
(2019)
Article
Green & Sustainable Science & Technology
John A. Stanturf, James H. Perdue, Timothy M. Young, Xia Huang, Zhimei Guo, Derek Dougherty, Michael Pigott
ENERGY SUSTAINABILITY AND SOCIETY
(2019)
Article
Environmental Sciences
A. F. Astner, D. G. Hayes, H. O'Neill, B. R. Evans, S. V. Pingali, V. S. Urban, T. M. Young
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Forestry
Ying Li, Brian K. Via, Tim Young, Yaoxiang Li
Article
Chemistry, Multidisciplinary
Timothy M. Young, Robert A. Breyer, Terry Liles, Alexander Petutschnigg
APPLIED SCIENCES-BASEL
(2020)
Article
Biochemistry & Molecular Biology
Thomas Sepperer, Gianluca Tondi, Alexander Petutschnigg, Timothy M. Young, Konrad Steiner
Article
Mathematics
Rudolf Schraml, Karl Entacher, Alexander Petutschnigg, Timothy Young, Andreas Uhl
Article
Forestry
Yujie Meng, Cristian I. Contescu, Peizhi Liu, Siqun Wang, Seung-Hwan Lee, Junjie Guo, Timothy M. Young
Summary: An electron microscopy investigation was performed to understand the relationship between the microstructure and properties of carbonized cellulose and lignin, revealing structural differences that explain the higher surface area and porosity of carbonized cellulose. Additionally, the presence of certain well-ordered carbon in carbonized lignin indicates potential for obtaining acceptable moduli of carbon fiber from lignin with appropriate modifications. This research contributes to an improved understanding of the carbonization mechanism of cellulose and lignin components in biomass materials.
WOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Mathematics
Timothy M. Young, Ampalavanar Nanthakumar, Hari Nanthakumar
Summary: This study investigates the issue of positive autocorrelation in data collected from online sensors in manufacturing applications, focusing on the performance of 'Copula' based control charts in the presence of correlated observations following the AR(1) model. Preliminary results indicate that the Clayton Copula and Farlie-Gumbel-Morgenstern Copula outperform other Archimedean Copulas, with the Clayton Copula showing more robustness to changes in process standard deviation.
Article
Mathematics
Timothy M. Young, Edward Sobek, Faramarz Farahi
Summary: The natural variation of airborne aerosols from calibrated cigarette particles was quantified using enhanced Bonferroni methods. Improving analytical methods for understanding the natural variation of airborne particles is of great significance for mitigating harmful airborne particles.
Article
Engineering, Environmental
Qijun Zhang, Qian Li, Longfei Zhang, Siqun Wang, David P. Harper, Qiang Wu, Timothy M. Young
CHEMICAL ENGINEERING JOURNAL
(2020)
Article
Forestry
Timothy M. Young, Patricia K. Lebow, Stan Lebow, Adam Taylor
FOREST PRODUCTS JOURNAL
(2020)
Article
Materials Science, Paper & Wood
Christoph Metzner, Maximilian Platzer, Timothy M. Young, Bogdan Bichescu, Marius-Catalin Barbu, Timothy G. Rials