Article
Engineering, Civil
Tao Wang, Zhengliang Li, Wenliang Fan, Alfredo H. -S Ang
Summary: A new adaptive hybrid dimension-reduction model was proposed in this article to approximate performance functions with different characteristics, followed by the development of a highly flexible point estimation method that yielded satisfactory results in examples with different performance function forms.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Plant Sciences
Zhongyu Yu, Chang Tian, Yunxiao Guan, Jun He, Zhenxing Wang, Likai Wang, Sisi Lin, Zhiyong Guan, Weimin Fang, Sumei Chen, Fei Zhang, Jiafu Jiang, Fadi Chen, Haibin Wang
Summary: This study reveals that autopolyploidization of Chrysanthemum nankingense leads to differential expression of TCP family genes, thereby affecting plant characteristics, specifically the enlargement of leaves and petals.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Mathematics, Applied
Yuwen He, Jun Li, Lingsheng Meng
Summary: This paper proposes three preconditioners for solving double saddle point problems, investigates the solvability of the problem under suitable assumptions, proves that all eigenvalues of the preconditioned matrices are 1, analyzes the eigenvector distribution and the upper bound of minimum polynomial degree, and carries out numerical experiments to demonstrate the effectiveness of the proposed preconditioners.
Article
Multidisciplinary Sciences
Iftikhar Uddin, Ikram Ullah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Saeed Islam, M. S. Zobaer, K. S. Nisar, C. Ahamed Saleel, Saad Alshahrani
Summary: This study utilizes intelligent neural networks to solve the mathematical model of unsteady thin film flow of magnetized Maxwell fluid on a rotating disk, exploring the effects of various parameters on film thickness and temperature distribution. The effectiveness of the model is validated through data sets and computational methods.
SCIENTIFIC REPORTS
(2021)
Article
Psychology, Multidisciplinary
Xin Zhang, Weibin Zhao, Kai Zhou
Summary: This study aims to explore the public's psychological cognition of the current education system under the implementation of the double reduction policy. By collecting public opinion data, and using SPSS and Amos software for quantitative analysis, a structural model equation is established to analyze the public's opinion on the implementation of the double reduction policy. The study found that the public has their own psychological views on education under the implementation of the double reduction policy, and provides the ideological connotation of popularizing the double reduction policy for the general public.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Carlos H. S. Coelho, Joao A. Martino, Marcello Bellodi, Eddy Simoen, Anabela Veloso, Paula G. D. Agopian
Summary: This study experimentally investigates the ZTC bias point of GAA-NS nMOS devices for different dimensions and its influencing factors. The threshold voltage variation with temperature and temperature transconductance degradation factor are crucial aspects impacting the gate to source voltage at ZTC. While a simple analytical model describes ZTC behavior in the linear region, factors such as series resistance and carrier saturation velocity have a significant influence on ZTC performance at high drain bias.
MICROELECTRONICS JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Bingxian Chu, Qiuxia Ma, Zesheng Li, Bolin Li, Furong Huang, Qi Pang, Yibo Chen, Bin Li, Jin Zhong Zhang
Summary: The study involved the fabrication of novel three-dimensional hetero-electrocatalysts by incorporating silver nanoclusters onto nickel-cobalt layered double hydroxide nanosheets. Both experimental and theoretical investigations demonstrated the exceptional catalytic performance of the resulting hetero-electrocatalysts for oxygen evolution reactions (OERs). The high performance was attributed to the synergistic effects between the silver nanoclusters and LDHs, paving the way for the further development of highly efficient electrocatalysts for OERs.
Article
Automation & Control Systems
Osama S. Faragallah, Walid El-Shafai, Ashraf Afifi, Ibrahim Elashry, Mohammed A. AlZain, Jehad F. Al-Amri, Ben Soh, Heba M. El-Hoseny, Hala S. El-Sayed, Fathi E. Abd El-Samie
Summary: This paper presents an optical ciphering framework using Double Random Phase Encoding (DRPE) for secure transmission of Three-Dimensional Videos (3DVs). The proposed framework is examined and investigated through visual inspection and various security statistical metrics, showing that it is secure and effective in mitigating different multimedia attacks.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2021)
Article
Electrochemistry
Tsuyoshi Nagasawa, Takaaki Shimura, Naoki Shikazono, Katsunori Hanamura
Summary: The distribution of electrochemical reaction sites in a composite cathode of a solid oxide fuel cell was investigated through active sites imaging by oxygen isotope labeling combined with three-dimensional microstructure observation. The study revealed the impact of the distribution of reaction sites on the calculated oxide ion flux and effective reaction thickness.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Automation & Control Systems
Hongjie Zhang, Junyan Tan, Jinxin Zhang, Yingyi Chen, Ling Jing
Summary: This paper proposes a novel unsupervised multi-view dimensionality reduction method called DIPCCA, which integrates two cross double weight graphs with CCA to explore the similarity and dissimilarity information of data. By maintaining the local structure and dispersing embedded samples of distinct clusters, DIPCCA is able to extract more discriminative features.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Aerospace
Francis R. Phillips, Trent White, Todd C. Henry, John T. Hrynuk, Darren Hartl
Summary: This study demonstrates a novel uncoupled static aeroelastic analysis method, which accurately predicts the pressure and displacement fields of a flexible wing and reduces computational expense by reusing fluid data sets. Furthermore, the method is suitable for preliminary design optimization of the internal structure of wings.
Article
Thermodynamics
Nadia Riaz, Muhammad Qasim, Muhammad Idrees Afridi, Abid Hussanan
Summary: This article explores the three-dimensional stagnation point flow over a radiative wavy cylindrical shaped body, using nonlinear Rosseland approximation to model radiative heat transfer phenomena. Numerical solutions are computed and compared with MATLAB software, showing significant differences in heat transfer rate between cases with and without thermal radiation.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Multidisciplinary Sciences
Yvo Pokern, Benjamin Eltzner, Stephan F. Huckemann, Clemens Beeken, JoAnne Stubbe, Igor Tkach, Marina Bennati, Markus Hiller
Summary: Electron-nuclear double resonance (ENDOR) is a powerful tool for spectroscopic investigations, measuring the hyperfine interaction of magnetic nuclei with paramagnetic centers across various fields from biophysics to material science. A statistical model was developed for ENDOR data analysis on a prototype amino acid radical in Escherichia coli ribonucleotide reductase, revealing new unexpected spectral contributions critical for biological function. The results show that model-based statistical analysis combined with state-of-the-art spectroscopic techniques provides access to information beyond standard approaches.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Physics, Multidisciplinary
Anmol Dwivedi, Sihui Wang, Ali Tajer
Summary: This paper investigates the optimal design of linear dimensionality reduction to maximize the preservation of divergence between models. By analyzing Gaussian models, the study finds the optimal design for linear data transformation and explores different divergence measures. The research reveals that, under zero-mean Gaussian models, projections are not necessarily along the largest modes of the covariance matrix, and the optimal design remains the same across different divergence measures.
Article
Construction & Building Technology
Ke Yu, Congguang Zhang, Mohammed Shooshtarian, Weijian Zhao, Jiangpeng Shu
Summary: The study proposed an automated approach to determine the residual capacity of cracked RC structures using point cloud three dimensional modeling and finite element analysis. Validation tests and simulation analyses showed promising results in modeling and assessing cracked RC beams.
STRUCTURAL CONCRETE
(2021)
Article
Genetics & Heredity
Hainan Wu, Dan Yao, Yuhua Chen, Wenguo Yang, Wei Zhao, Hua Gao, Chunfa Tong
G3-GENES GENOMES GENETICS
(2020)
Article
Plant Sciences
Sara K. Hotton, Meridith Kammerzell, Ron Chan, Bryan T. Hernandez, Hugh A. Young, Christian Tobias, Thomas McKeon, Jenny Brichta, Nathan J. Thomson, James G. Thomson
Article
Evolutionary Biology
Chunfa Tong, Dan Yao, Hainan Wu, Yuhua Chen, Wenguo Yang, Wei Zhao
JOURNAL OF HEREDITY
(2020)
Article
Agronomy
Jennifer Bragg, Pernell Tomasi, Li Zhang, Tina Williams, Delilah Wood, John T. Lovell, Adam Healey, Jeremy Schmutz, Jason E. Bonnette, Prisca Cheng, Lisa Chanbusarakum, Thomas Juenger, Christian M. Tobias
THEORETICAL AND APPLIED GENETICS
(2020)
Article
Genetics & Heredity
Yuhua Chen, Hainan Wu, Wenguo Yang, Wei Zhao, Chunfa Tong
Summary: In this study, a GWAS of tree height in Populus was conducted using a multivariate mixed linear model and high-throughput sequencing technology, identifying 41 SNPs significantly associated with tree height. These SNPs were distributed across various chromosomes and explained a considerable amount of phenotypic variance, offering insights into the molecular mechanisms of growth traits and facilitating marker-assisted breeding programs in Populus.
G3-GENES GENOMES GENETICS
(2021)
Article
Multidisciplinary Sciences
John T. Lovell, Alice H. MacQueen, Sujan Mamidi, Jason Bonnette, Jerry Jenkins, Joseph D. Napier, Avinash Sreedasyam, Adam Healey, Adam Session, Shengqiang Shu, Kerrie Barry, Stacy Bonos, LoriBeth Boston, Christopher Daum, Shweta Deshpande, Aren Ewing, Paul P. Grabowski, Taslima Haque, Melanie Harrison, Jiming Jiang, Dave Kudrna, Anna Lipzen, Thomas H. Pendergast, Chris Plott, Peng Qi, Christopher A. Saski, Eugene Shakirov, David Sims, Manoj Sharma, Rita Sharma, Ada Stewart, Vasanth R. Singan, Yuhong Tang, Sandra Thibivillier, Jenell Webber, Xiaoyu Weng, Melissa Williams, Guohong Albert Wu, Yuko Yoshinaga, Matthew Zane, Li Zhang, Jiyi Zhang, Kathrine D. Behrman, Arvid R. Boe, Philip A. Fay, Felix B. Fritschi, Julie D. Jastrow, John Lloyd-Reilley, Juan Manuel Martinez-Reyna, Roser Matamala, Robert B. Mitchell, Francis M. Rouquette, Pamela Ronald, Malay Saha, Christian M. Tobias, Michael Udvardi, Rod A. Wing, Yanqi Wu, Laura E. Bartley, Michael Casler, Katrien M. Devos, David B. Lowry, Daniel S. Rokhsar, Jane Grimwood, Thomas E. Juenger, Jeremy Schmutz
Summary: Climate change and environmental extremes threaten food and fuel security, as well as global crop productivity. Molecular and adaptive breeding strategies can help improve crop resilience, but require in-depth knowledge of productivity and adaptation genes. The study on the genome of switchgrass revealed extensive genomic evidence of climate adaptation and accelerated climate adaptation through gene flow during postglacial colonization. These findings not only provide insights into climate adaptation patterns, but also offer tools for breeders to increase switchgrass yield for sustainable bioenergy production.
Article
Agronomy
Serge J. Edme, Gautam Sarath, Nathan Palmer, Gary Y. Yuen, Anthony A. Muhle, Rob Mitchell, Satyanarayana Tatineni, Christian Tobias
Summary: In a population of Summer-Kanlow switchgrass, genetic parameters and estimating breeding values were studied for various traits using a multivariate phenotypic and animal models. The results suggest that selecting high-biomass genotypes may increase lignin content and improve mosaic tolerance, with ethanol being a key factor in mitigating increased lignin content. The ABLUP model showed better accuracy and reliability compared to the PBLUP model in this study.
Article
Agronomy
Surya L. Shrestha, Hem S. Bhandari, Fred L. Allen, Christian M. Tobias, Santosh Nayak, Ken Goddard, Scott A. Senseman
Summary: Heterosis plays an important role in switchgrass breeding, with hybrid cultivars showing potential for biomass yield improvement. The study identified superior crosses for hybrid development through seasonal single cut, demonstrating significant differences in biomass yield across locations and showing a moderate to strong positive association between clonal mass scores and biomass yield.
Article
Multidisciplinary Sciences
Wenguo Yang, Dan Yao, Hainan Wu, Wei Zhao, Yuhua Chen, Chunfa Tong
Summary: Leaf morphology varies greatly between and within species, likely due to adaptation to environmental factors and genetic mechanisms. The genetic architecture of leaf shape is complex and requires further investigation, especially through genome-wide association studies.
Article
Plant Sciences
Sangwoong Yoon, Jennifer Bragg, Sheyla Aucar-Yamato, Lisa Chanbusarakum, Kurtis Dluge, Prisca Cheng, Eduardo Blumwald, Yong Gu, Christian M. Tobias
Summary: This paper introduces a centromere-mediated genome elimination strategy for efficient production of inbred lines. By using transgenic methods and different chimeric versions of CENH3, haploid individuals and aneuploids were successfully induced in switchgrass.
Article
Plant Sciences
Zhiliang Pan, Zhiting Li, Jinpeng Zhang, Shengjun Bai, Wei Zhao, Chunfa Tong
Summary: This study investigated the genome-wide distribution of InDels and the segregation patterns in the progeny of Populus deltoides and Populus simonii using RAD-seq data. The results showed a large number of common InDels in both species, with a higher proportion of InDels within genes. Moreover, Mendelian InDels were found to be suitable for genetic mapping in the F-1 hybrid population.
TROPICAL PLANT BIOLOGY
(2022)
Article
Plant Sciences
Zhiliang Pan, Jinpeng Zhang, Shengjun Bai, Zhiting Li, Chunfa Tong
Summary: This study presents an integrated pipeline, InDelGT, for rapid genotyping of a large number of insertion/deletion markers. The pipeline successfully constructs the parental genetic linkage maps.
APPLICATIONS IN PLANT SCIENCES
(2022)
Article
Genetics & Heredity
Zhiting Li, Jinpeng Zhang, Zhiliang Pan, Shengjun Bai, Chunfa Tong
Summary: We proposed a novel strategy to construct an integrated genetic linkage map by combining restriction-site-associated DNA sequencing (RADSeq) data with the traditional F-2 population genetic linkage maps. This approach has important applications in outbred forest trees.
Article
Genetics & Heredity
Surya L. Shrestha, Christian M. Tobias, Hem S. Bhandari, Jennifer Bragg, Santosh Nayak, Ken Goddard, Fred Allen
Summary: In this study, QTL mapping was conducted to identify marker-trait associations related to biomass yield, plant height, and crown size in switchgrass. Significant QTL were found on chromosomes 8N, 6N, and 8K, providing valuable insights for marker-assisted breeding in switchgrass for bioenergy production.
G3-GENES GENOMES GENETICS
(2023)
Article
Biochemical Research Methods
Dan Yao, Hainan Wu, Yuhua Chen, Wenguo Yang, Hua Gao, Chunfa Tong
BRIEFINGS IN BIOINFORMATICS
(2020)