153 results on '"SPLs"'
Search Results
2. Genome-wide identification of miR156 and SPL family genes and phenotypic analysis of vegetative phase change in pepper (Capsicum annuum L.)
- Author
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Wei, Liang, Liu, Jipeng, Huang, JiaJie, Wang, Chenjie, Zhang, Lu, and Feng, Shengjun
- Published
- 2023
- Full Text
- View/download PDF
3. Association of co-exposure to organophosphate esters and per- and polyfluoroalkyl substances and mixture with cardiovascular-kidney-liver-metabolic biomarkers among Chinese adults
- Author
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Yanbing Li, Yi Lv, Zexuan Jiang, Chaoying Ma, Ran Li, Mengwei Zhao, Yi Guo, Huicai Guo, Xiaoguang Zhang, Ang Li, and Yi Liu
- Subjects
OPEs ,PFAS ,Cardiovascular-kidney-liver-metabolic biomarkers ,BKMR ,SPLS ,Environmental pollution ,TD172-193.5 ,Environmental sciences ,GE1-350 - Abstract
Background: Organophosphate esters (OPEs) and Per- and polyfluoroalkyl substances (PFAS) are ubiquitous environmental contaminants with common exposure sources, leading to their widespread presence in human body. However, evidence on co-exposure to OPEs and PFAS and its impact on cardiovascular-kidney-liver-metabolic biomarkers remains limited. Methods: In this cross-sectional study, 467 adults were enrolled from January to May 2022 during physical visits in Shijiazhuang, Hebei province. Eleven types of OPEs and twelves types of PFAS were detected, among which eight OPEs and six PFAS contaminants were detected in more than 60% of plasma samples. Seventeen biomarkers were assessed to comprehensively evaluate the cardiovascular-kidney-liver-metabolic function. Multiple linear regression, multipollutant models with sparse partial least squares, and Bayesian kernel machine regression (BKMR) models were applied to examine the associations of individual OPEs and PFAS and their mixtures with organ function and metabolism, respectively. Results: Of the over 400 exposure–outcome associations tested when modelling, we observed robust results across three models that perfluorohexanoic acid (PFHxS) was significantly positively associated with alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and indirect bilirubin (IBIL). Perfluorononanoic acid was significantly associated with decreased AST/ALT and increased very-low-density lipoprotein cholesterol levels. Besides, perfluorodecanoic acid was correlated with increased high lipoprotein cholesterol and perfluoroundecanoic acid was consistently associated with lower glucose level. BKMR analysis showed that OPEs and PFAS mixtures were positively associated with IBIL and TBIL, among which PFHxS was the main toxic chemicals. Conclusions: Our findings suggest that exposure to OPEs and PFAS, especially PFHxS and PFNA, may disrupt organ function and metabolism in the general population, providing insight into the potential pathophysiological mechanisms of OPEs and PFAS co-exposure and chronic diseases.
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- 2024
- Full Text
- View/download PDF
4. Genome-Wide Analysis of SPL Gene Families Illuminate the Evolution Patterns in Three Rubber-Producing Plants.
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Su, Renping, Yuan, Boxuan, Yang, Yang, Ao, Guoen, and Wang, Juanying
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GENE families , *GENE expression , *HEVEA , *EUCOMMIA ulmoides , *RUBBER plants , *RUBBER , *LATEX - Abstract
Transcription factors SQUAMOSA Promoter-binding Protein-like (SPL) play a crucial role in regulating plant response to stress, root development, and flower production. However, analysis of SPL gene families in the three rubber-producing plants Taraxacum kok-saghyz, Hevea brasiliensis, and Eucommia ulmoides, renowned for their natural rubber production, has not yet been conducted. In this study, we utilized reference genomes to perform genome-wide analysis, and obtained new insights on the evolution of SPL gene families in these three rubber-producing plants. Our results revealed the following: (1) T. kok-saghyz, H. brasiliensis, and E. ulmoides harbored 25, 16, and 13 SPL genes, respectively, containing conserved structural domains of SBP. (2) A phylogenetic analysis categorized 90 SPL proteins from 25 TkSPLs, 16 HbSPLs, 13 EuSPLs, 17 AtSPLs, and 19 OsSPLs into eight groups. (3) Analysis of cis-acting elements demonstrated that the promoters of EuSPLs contained a significant number of light response elements, hormone regulatory elements, and stress response elements. (4) Transcriptome data analysis revealed that the EuSPL8 gene had strong expression in bark, as well as TkSPL4 and TkSPL8 exhibit high expression levels specifically in roots and latex. This study provides valuable insights into the biological functions of the SPL gene family in the three rubber plants and might serve as a reference for identifying efficient genes. [ABSTRACT FROM AUTHOR]
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- 2023
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- View/download PDF
5. Genome-Wide Identification of the SQUAMOSA Promoter-Binding Protein-like (SPL) Transcription Factor Family in Sweet Cherry Fruit.
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Sun, Yueting, Wang, Yanyan, Xiao, Yuqin, Zhang, Xiang, Du, Bingyang, Turupu, Maihemuti, Wang, Chao, Yao, Qisheng, Gai, Shilin, Huang, Jing, Tong, Shi, and Li, Tianhong
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ABSCISIC acid , *TRANSCRIPTION factors , *FRUIT ripening , *SWEET cherry , *FRUIT , *GENE families , *IMMOBILIZED proteins - Abstract
Plant-specific SQUAMOSA promoter-binding protein-like (SPL) transcription factors play important regulatory roles during plant growth and development, fruit ripening, inflorescence branching, and biotic and abiotic stresses. However, there have been no identification or systematic studies of the SPL gene family in the sweet cherry. In this study, 12 SPL genes were identified in the sweet cherry reference genome, which were distributed over 6 chromosomes and classified into six groups according to phylogenetic relationships with other SPL gene families. Nine PavSPLs were highly expressed at green fruit stages and dramatically decreased at the onset of fruit ripening, which implied that they were important regulators during fruit development and ripening. The expression patterns of PavSPL genes under ABA, GA, and MeJA treatments showed that the PavSPLs were involved in the process of fruit ripening. A subcellular localization experiment proved that PavSPL4 and PavSPL7 proteins were localized in the nucleus. The genome-wide identification of the SPL gene family provided new insights while establishing an important foundation for sweet cherry studies. [ABSTRACT FROM AUTHOR]
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- 2023
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6. Robotic Single-Site Gyn Surgery
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Fuhrich, Daniele Geras, Kahlon, Kudrit Riana, Locklear, Jacklyn, Caceres, Aileen, Gharagozloo, Farid, editor, Patel, Vipul R., editor, Giulianotti, Pier Cristoforo, editor, Poston, Robert, editor, Gruessner, Rainer, editor, and Meyer, Mark, editor
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- 2021
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7. Genome-Wide Analysis of SQUAMOSA-Promoter-Binding Protein-like Family in Flowering Pleioblastus pygmaeus.
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Yao, Wenjing, Li, Chuanzhe, Fu, Huajun, Yang, Meng, Wu, Hongyu, Ding, Yulong, Li, Long, and Lin, Shuyan
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FLOWER development , *MORPHOGENESIS , *FLOWERING time , *BAMBOO , *PLANT development , *PLANT species , *FLOWERING of plants , *PLANT growth - Abstract
SQUAMOSA Promoter-Binding Protein-Like (SPL) family is well-known for playing an important role in plant growth and development, specifically in the reproductive process. Bamboo plants have special reproductive characteristics with a prolonged vegetative phase and uncertain flowering time. However, the underlying functions of SPL genes in reproductive growth are undisclosed in bamboo plants. In the study, a total of 28 SPLs were screened from an ornamental dwarf bamboo species, Pleioblastus pygmaeus. Phylogenetic analysis indicates that 183 SPLs from eight plant species can be classified into nine subfamilies, and the 28 PpSPLs are distributed among eight subfamilies. Homologous analysis shows that as many as 32 pairs of homologous genes were found between P. pygmaeus and rice, and 83 pairs were found between P. pygmaeus and Moso bamboo, whose Ka/Ks values are all <1. MiRNA target prediction reveals that 13 out of the 28 PpSPLs have recognition sites complementary to miRNA156. To screen the SPLs involved in the reproductive growth of bamboo plants, the mRNA abundance of the 28 PpSPLs was profiled in the different tissues of flowering P. pygmaeus and non-flowering plants by RNA-Seq. Moreover, the relative expression level of eight PpSPLs is significantly higher in flowering P. pygmaeus than that in non-flowering plants, which was also validated by RT-qPCR. Combined with phylogenetic analysis and homologous analysis, the eight significant, differentially expressed PpSPLs were identified to be associated with the reproductive process and flower organ development. Among them, there are four potential miRNA156-targeting PpSPLs involved in the flowering process. Of significant interest in the study is the identification of 28 SPLs and the exploration of four key flowering-related SPLs from P. pygmaeus, which provides a theoretic basis for revealing the underlying functions of SPLs in the reproductive growth of bamboo plants. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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8. Moving window sparse partial least squares method and its application in spectral data.
- Author
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Feng, Zhenghui, Jiang, Hanli, Lin, Ruiqi, and Mu, Wanying
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LEAST squares , *CHEMICAL oxygen demand , *MONTE Carlo method , *DATA science , *PARTIAL least squares regression , *MULTICOLLINEARITY - Abstract
With the advancement of data science and technology, the complexity and diversity of data have increased. Challenges arise when dealing with a larger number of variables than the sample size or the presence of multicollinearity due to strong correlations among variables. In this paper, we propose a moving window sparse partial least squares method that combines the sliding interval technique with sparse partial least squares. By utilizing sliding interval partial least squares regression to identify the optimal interval and incorporating sparse partial least squares for variable selection, the proposed method offers innovations compared to traditional partial least squares (PLS) approaches. Monte Carlo simulations demonstrate its performance in variable selection and model prediction. We apply the method to seawater spectral data, predicting the concentration of chemical Oxygen demand. The results show that the method not only selects reasonable spectral wavelength intervals but also enhances predictive performance. • A moving window sparse partial least squares method is proposed. • Utilizing sliding window and incorporating sparse partial least squares. • Predicting the concentration of chemical Oxygen demand in seawater. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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9. Estimation of leaf nitrogen levels in sugarcaneusing hyperspectral models.
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da Silva Barros, Pedro Paulo, Ricardo Fiorio, Peterson, Alexandre de Melo Demattê, José, Araújo Martins, Juliano, Fernando Montezano, Zaqueu, and Ferreira Dias, Fábio Luis
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GREENHOUSE gas mitigation , *RENEWABLE energy sources , *NITROGEN , *REMOTE sensing , *GROWING season , *PLANT growth , *LEAF physiology - Abstract
Sugarcane is a good source of renewable energy and helps reduce the emission of greenhouse gases. Nitrogen has a critical role in plant growth; therefore, estimating nitrogen levels is essential, and remote sensing can improve fertilizer management. This field study selects wavelengths from hyperspectral data on a sugarcane canopy to generate models for estimating leaf nitrogen concentrations. The study was carried out in the municipalities of Piracicaba, Jaú, and Santa Maria da Serra, state of São Paulo, in the 2013/2014 growing season. The experiments were carried out using a completely randomized block design with split plots (three sugarcane varieties per plot [variety SP 81- 3250 was common to all plots] and four nitrogen concentrations [0, 50, 100, and 150 kgha-1] per subplot) and four repetitions. The wavelengths that best correlated with leaf nitrogen were selected using sparse partial least square regression. The wavelength regions were combined by stepwise multiple linear regression. Spectral bands in the visible (700–705 nm), red-edge (710–720 nm), near-infrared (725, 925, 955, and 980 nm), and short-wave infrared (1355, 1420, 1595, 1600, 1605, and 1610 nm) regions were identified. The R² and RMSE of the model were 0.50 and 1.67 g.kg-1, respectively. The adjusted R² and RMSE of the models for Piracicaba, Jaú, and Santa Maria were 0.31 (unreliable) and 1.30 g.kg-1, 0.53 and 1.96 g.kg-1, and 0.54 and 1.46 g.kg-1, respectively. Our results showed that canopy hyperspectral reflectance can estimate leaf nitrogen concentrations and manage nitrogen application in sugarcane. [ABSTRACT FROM AUTHOR]
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- 2022
- Full Text
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10. Extracting Known Side Effects from Summaries of Product Characteristics (SmPCs) Provided in PDF Format by the European Medicines Agency (EMA) using BERT and Python
- Author
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Buakhao, Rinyarat and Buakhao, Rinyarat
- Abstract
Medicines and vaccines have revolutionized disease prevention and treatment, offering numerous benefits. However, they also raise concerns about Adverse Drug Reactions (ADRs), which can have severe consequences. Summaries of Product Characteristics (SmPCs), provided by the European Medicines Agency (EMA), and Structured Product Labelings (SPLs), provided by the Food and Drug Administration (FDA), are valuable sources of information on drug-ADR relations. Understanding these relations is crucial as it contributes to establishing labeled datasets for known ADRs and advancing statistical assessment methods. Uppsala Monitoring Centre (UMC) has developed a text mining pipeline to extract known ADRs from SPLs. While the pipeline works effectively with SPLs, it faces challenges with SmPCs provided in PDF format. This study explores extending the scanner component of the pipeline by utilizing Python PDF extraction libraries to extract text from SmPCs and fine-tuning domain-specific pre-trained BERT-based models for Named Entity Recognition (NER), which is a Natural Language Processing (NLP) task, aiming to identify known ADRs from SmPCs. The investigation finds pypdfium2 [1] to be the optimal Python PDF extraction library, and fine-tuned PubMedBERT—a domain-specific language model pre-training from scratch [2]—for the NER task achieves the best performance in identifying ADRs from SmPCs. The model's performance, evaluated using entity-level evaluation metrics including Exact, Covering, and Overlap match metrics, achieves F1-scores of 0.9138, 0.9268, and 0.9671, respectively, indicating significantly good performance. Consequently, the extension model investigated in this study will be integrated into the existing pipeline by UMC professionals.
- Published
- 2024
11. Association of co-exposure to organophosphate esters and per- and polyfluoroalkyl substances and mixture with cardiovascular-kidney-liver-metabolic biomarkers among Chinese adults.
- Author
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Li, Yanbing, Lv, Yi, Jiang, Zexuan, Ma, Chaoying, Li, Ran, Zhao, Mengwei, Guo, Yi, Guo, Huicai, Zhang, Xiaoguang, Li, Ang, and Liu, Yi
- Subjects
FLUOROALKYL compounds ,ASPARTATE aminotransferase ,ALANINE aminotransferase ,POLLUTANTS ,ESTERS ,BIOMARKERS ,ADULTS - Abstract
Organophosphate esters (OPEs) and Per- and polyfluoroalkyl substances (PFAS) are ubiquitous environmental contaminants with common exposure sources, leading to their widespread presence in human body. However, evidence on co-exposure to OPEs and PFAS and its impact on cardiovascular-kidney-liver-metabolic biomarkers remains limited. In this cross-sectional study, 467 adults were enrolled from January to May 2022 during physical visits in Shijiazhuang, Hebei province. Eleven types of OPEs and twelves types of PFAS were detected, among which eight OPEs and six PFAS contaminants were detected in more than 60% of plasma samples. Seventeen biomarkers were assessed to comprehensively evaluate the cardiovascular-kidney-liver-metabolic function. Multiple linear regression, multipollutant models with sparse partial least squares, and Bayesian kernel machine regression (BKMR) models were applied to examine the associations of individual OPEs and PFAS and their mixtures with organ function and metabolism, respectively. Of the over 400 exposure–outcome associations tested when modelling, we observed robust results across three models that perfluorohexanoic acid (PFHxS) was significantly positively associated with alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and indirect bilirubin (IBIL). Perfluorononanoic acid was significantly associated with decreased AST/ALT and increased very-low-density lipoprotein cholesterol levels. Besides, perfluorodecanoic acid was correlated with increased high lipoprotein cholesterol and perfluoroundecanoic acid was consistently associated with lower glucose level. BKMR analysis showed that OPEs and PFAS mixtures were positively associated with IBIL and TBIL, among which PFHxS was the main toxic chemicals. Our findings suggest that exposure to OPEs and PFAS, especially PFHxS and PFNA, may disrupt organ function and metabolism in the general population, providing insight into the potential pathophysiological mechanisms of OPEs and PFAS co-exposure and chronic diseases. [Display omitted] • Plasma concentrations of 12 PFAS and 11 OPEs were detected in Chinese adults. • OPEs and PFAS mixture was positively associated with IBIL and TBIL in BKMR. • PFHxS and PFNA were crucial for liver, renal function, and lipid metabolism. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
12. Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain
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Awwab Qasim Jumaah Althahab, Branislav Vuksanovic, Mohamed Al-Mosawi, Maria Machimbarrena, and Roi Arias
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ICUs ,SPLs ,noise analysis ,FFT ,histogram ,Chemical technology ,TP1-1185 - Abstract
Intensive care units (ICUs) are busy and noisy areas where patients and professional staff can be exposed to acoustic noise for long periods of time. In many cases, noise levels significantly exceed the levels recommended by the official health organisations. This situation can affect not only patient recovery but also professional staff, making ICUs unhealthy work and treatment environments. To introduce the measures and reduce the acoustic noise in the ICU, acoustic noise levels should first be measured and then appropriately analysed. However, in most studies dealing with this problem, measurements have been performed manually over short periods, leading to limited data being collected. They are usually followed by insufficient analysis, which in turn results in inadequate measures and noise reduction. This paper reviews recent works dealing with the problem of excessively high noise levels in ICUs and proposes a more thorough analysis of measured data both in the time and frequency domains. Applied frequency domain analysis identifies the cyclic behaviour of the measured sound pressure levels (SPLs) and detects the dominant frequency components in the SPL time series. Moreover, statistical analyses are produced to depict the patterns and SPLs to which patients in ICUs are typically exposed during their stay in the ICU. It has been shown that the acoustic environment is very similar every night, while it can vary significantly during the day or evening periods. However, during most of the observed time, recorded SPLs were significantly above the prescribed values, indicating an urgent need for their control and reduction. To effectively tackle this problem, more detailed information about the nature of noise during each of the analysed periods of the day is needed. This issue will be addressed in the continuation of this project.
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- 2022
- Full Text
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13. MIR156-Targeted SPL9 Is Phosphorylated by SnRK2s and Interacts With ABI5 to Enhance ABA Responses in Arabidopsis
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Huixue Dong, Suli Yan, Yexing Jing, Ruizhen Yang, Yunwei Zhang, Yun Zhou, Yingfang Zhu, and Jiaqiang Sun
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miR156 ,SPLs ,ABA ,ABI5 ,Arabidopsis ,Plant culture ,SB1-1110 - Abstract
The miR156-targeted SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play key roles in regulating plant development, but little is known about their function in abscisic acid (ABA) signaling. Here, we report that the miR156-targeted SPLs enhance ABA responses and contribute to the inhibition of pre-harvest sprouting. We find that SPL9 directly activates the expression of ABA responsive genes through binding to their promoters. SPL9 was further shown to physically interact with ABSCISIC ACID INSENSITIVE 5 (ABI5), a master transcription factor in ABA signaling, thus promoting its association with the promoters of ABA responsive genes. Furthermore, we reveal that the protein kinases SnRK2s interact with and phosphorylate SPL9, which is essential for its role in the activation of ABA responses. Together, our results disclose a SnRK2s-SPLs-ABI5 regulatory module in ABA signaling in Arabidopsis.
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- 2021
- Full Text
- View/download PDF
14. MIR156-Targeted SPL9 Is Phosphorylated by SnRK2s and Interacts With ABI5 to Enhance ABA Responses in Arabidopsis.
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Dong, Huixue, Yan, Suli, Jing, Yexing, Yang, Ruizhen, Zhang, Yunwei, Zhou, Yun, Zhu, Yingfang, and Sun, Jiaqiang
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ARABIDOPSIS ,RESPONSE inhibition ,ABSCISIC acid ,PROTEIN kinases ,TRANSCRIPTION factors ,GERMINATION - Abstract
The miR156-targeted SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play key roles in regulating plant development, but little is known about their function in abscisic acid (ABA) signaling. Here, we report that the miR156-targeted SPLs enhance ABA responses and contribute to the inhibition of pre-harvest sprouting. We find that SPL9 directly activates the expression of ABA responsive genes through binding to their promoters. SPL9 was further shown to physically interact with ABSCISIC ACID INSENSITIVE 5 (ABI5), a master transcription factor in ABA signaling, thus promoting its association with the promoters of ABA responsive genes. Furthermore, we reveal that the protein kinases SnRK2s interact with and phosphorylate SPL9, which is essential for its role in the activation of ABA responses. Together, our results disclose a SnRK2s-SPLs-ABI5 regulatory module in ABA signaling in Arabidopsis. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
15. A variant of sparse partial least squares for variable selection and data exploration.
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Olson Hunt, Megan, Weissfeld, Lisa, Boudreau, Robert, Aizenstein, Howard, Newman, Anne, Simonsick, Eleanor, Van Domelen, Dane, Thomas, Fridtjof, Rosano, Caterina, and Yaffe, Kristine
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MRI ,SPLS ,high-dimensional ,inference ,multicollinearity ,network ,over-fitting ,tuning parameters - Abstract
When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed all-possible SPLS is proposed, which fits a SPLS model for all tuning parameter values across a set grid. Noted is the percentage of time a given predictor is chosen, as well as the average non-zero parameter estimate. Using a large number of multicollinear predictors, simulation confirmed variables not associated with the outcome were least likely to be chosen as sparsity increased across the grid of tuning parameters, while the opposite was true for those strongly associated. Lastly, variables with a weak association were chosen more often than those with no association, but less often than those with a strong relationship to the outcome. Similarly, predictors most strongly related to the outcome had the largest average parameter estimate magnitude, followed by those with a weak relationship, followed by those with no relationship. Across two independent studies regarding the relationship between volumetric MRI measures and a cognitive test score, this method confirmed a priori hypotheses about which brain regions would be selected most often and have the largest average parameter estimates. In conclusion, the percentage of time a predictor is chosen is a useful measure for ordering the strength of the relationship between the independent and dependent variables, serving as a form of inference. The average parameter estimates give further insight regarding the direction and strength of association. As a result, all-possible SPLS gives more information than the dichotomous output of traditional SPLS, making it useful when undertaking data exploration and hypothesis generation for a large number of potential predictors.
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- 2014
16. Development of a chemometric methodology based on FTIR spectra for paper dating.
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Xia, Jingjing, Huang, Yue, Zhang, Jixiong, Du, Xiayu, Yan, Hong, Li, Qianqian, Li, Yang, Xiong, Yanmei, and Min, Shungeng
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SUPPORT vector machines ,LEAST squares ,FOURIER transforms ,SEPARATION of variables - Abstract
The dating of documents is one of the pending issues to be resolved in many fields. Although there are a variety of analytical methodologies focused on the inks of documents to estimate the dating of documents, the analysis of documents itself attracted little attention. A non-destructive method based on Fourier transformed infrared (FTIR) was proposed in this research to estimate the dating of documents. First, FTIR spectra of journals dated from 1940 to 1980, naturally aged and conserved in the China Agriculture University library were collected. Second, the least squares support vector machines (LS-SVM) was applied to distinguish documents of different dating, and the accuracy was 99.26%. In order to find interested wavenumber that influence the dating process of documents, sparse partial least squares (sPLS) was applied to select informative variables. The average of selected variables was 483 after 100 runs, and the selected variables were focused on the absorption peaks of inorganic components and cellulose. Splicing sPLS with LS-SVM (sPLS–LS-SVM) built model to see the effective of selected variables. Average accuracy of sPLS–LS-SVM model was 99.34%, even the best result could reach 100.00% after 100 circle times. The present work indicates that the possibility of FTIR combined with chemometrics can estimate the dating of documents accurately. Additionally, the wavenumber which influence the dating of documents are mostly focused on cellulose and inorganic components. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
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17. miR172 Regulates WUS during Somatic Embryogenesis in Arabidopsis via AP2
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Katarzyna Nowak, Joanna Morończyk, Małgorzata Grzyb, Aleksandra Szczygieł-Sommer, and Małgorzata D. Gaj
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somatic embryogenesis ,miR172 ,AP2 ,WUS ,miR156 ,SPLs ,Cytology ,QH573-671 - Abstract
In plants, the embryogenic transition of somatic cells requires the reprogramming of the cell transcriptome, which is under the control of genetic and epigenetic factors. Correspondingly, the extensive modulation of genes encoding transcription factors and miRNAs has been indicated as controlling the induction of somatic embryogenesis in Arabidopsis and other plants. Among the MIRNAs that have a differential expression during somatic embryogenesis, members of the MIRNA172 gene family have been identified, which implies a role of miR172 in controlling the embryogenic transition in Arabidopsis. In the present study, we found a disturbed expression of both MIRNA172 and candidate miR172-target genes, including AP2, TOE1, TOE2, TOE3, SMZ and SNZ, that negatively affected the embryogenic response of transgenic explants. Next, we examined the role of AP2 in the miR172-mediated mechanism that controls the embryogenic response. We found some evidence that by controlling AP2, miR172 might repress the WUS that has an important function in embryogenic induction. We showed that the mechanism of the miR172-AP2-controlled repression of WUS involves histone acetylation. We observed the upregulation of the WUS transcripts in an embryogenic culture that was overexpressing AP2 and treated with trichostatin A (TSA), which is an inhibitor of HDAC histone deacetylases. The increased expression of the WUS gene in the embryogenic culture of the hdac mutants further confirmed the role of histone acetylation in WUS control during somatic embryogenesis. A chromatin-immunoprecipitation analysis provided evidence about the contribution of HDA6/19-mediated histone deacetylation to AP2-controlled WUS repression during embryogenic induction. The upstream regulatory elements of the miR172-AP2-WUS pathway might involve the miR156-controlled SPL9/SPL10, which control the level of mature miR172 in an embryogenic culture.
- Published
- 2022
- Full Text
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18. Characterization of Temperature Gradients According to Height in a Baroque Church by Means of Wireless Sensors
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Sandra Ramírez, Manuel Zarzo, Angel Perles, and Fernando-Juan García-Diego
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autocorrelation ,Holt-Winters ,LDA ,temperature gradient ,sPLS ,wireless sensors ,Chemical technology ,TP1-1185 - Abstract
The baroque church of Saint Thomas and Saint Philip Neri (Valencia, Spain), which was built between 1727 and 1736, contains valuable paintings by renowned Spanish artists. Due to the considerable height of the central nave, the church can experience vertical temperature gradients. In order to investigate this issue, temperatures were recorded between August 2017 and February 2018 from a wireless monitoring system composed of 21 sensor nodes, which were located at different heights in the church from 2 to 13 m from the floor level. For characterizing the temperature at high, medium and low altitude heights, a novel methodology is proposed based on sparse Partial Least Squares regression (sPLS), Linear Discriminant Analysis (LDA), and the Holt-Winters method, among others, which were applied to a time series of temperature. This approach is helpful to discriminate temperature profiles according to sensor height. Once the vertical thermal gradients for each month were characterized, it was found that temperature reached the maximum correlation with sensor height in the period between August 10th and September 9th. Furthermore, the most important features from the time series that explain this correlation are the mean temperature and the mean of moving range. In the period mentioned, the vertical thermal gradient was estimated to be about 0.043 ∘C/m, which implies a difference of 0.47 ∘C on average between sensor nodes at 2 m from the floor with respect to the upper ones located at 13 m from the floor level. The gradient was estimated as the slope from a linear regression model using height and hourly mean temperature as the predictor and response, respectively. This gradient is consistent with similar reported studies. The fact that such gradient was only found in one month suggests that the mechanisms of dust deposition on walls involved in vertical thermal gradients are not important in this case regarding the preventive conservation of artworks. Furthermore, the methodology proposed here was useful to discriminate the time series at high, medium and low altitude levels. This approach can be useful when a set of sensors is installed for microclimate monitoring in churches, cathedrals, and other historical buildings, at different levels and positions.
- Published
- 2021
- Full Text
- View/download PDF
19. Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain–Behavior Relationships.
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Mihalik, Agoston, Ferreira, Fabio S., Moutoussis, Michael, Ziegler, Gabriel, Adams, Rick A., Rosa, Maria J., Prabhu, Gita, de Oliveira, Leticia, Pereira, Mirtes, Bullmore, Edward T., Fonagy, Peter, Goodyer, Ian M., Jones, Peter B., Shawe-Taylor, John, Dolan, Raymond, and Mourão-Miranda, Janaina
- Subjects
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MACHINE learning , *VOXEL-based morphometry , *LEAST squares , *STABILITY criterion , *STATISTICAL correlation ,PSYCHIATRIC research - Abstract
In 2009, the National Institute of Mental Health launched the Research Domain Criteria, an attempt to move beyond diagnostic categories and ground psychiatry within neurobiological constructs that combine different levels of measures (e.g., brain imaging and behavior). Statistical methods that can integrate such multimodal data, however, are often vulnerable to overfitting, poor generalization, and difficulties in interpreting the results. We propose an innovative machine learning framework combining multiple holdouts and a stability criterion with regularized multivariate techniques, such as sparse partial least squares and kernel canonical correlation analysis, for identifying hidden dimensions of cross-modality relationships. To illustrate the approach, we investigated structural brain–behavior associations in an extensively phenotyped developmental sample of 345 participants (312 healthy and 33 with clinical depression). The brain data consisted of whole-brain voxel-based gray matter volumes, and the behavioral data included item-level self-report questionnaires and IQ and demographic measures. Both sparse partial least squares and kernel canonical correlation analysis captured two hidden dimensions of brain–behavior relationships: one related to age and drinking and the other one related to depression. The applied machine learning framework indicates that these results are stable and generalize well to new data. Indeed, the identified brain–behavior associations are in agreement with previous findings in the literature concerning age, alcohol use, and depression-related changes in brain volume. Multivariate techniques (such as sparse partial least squares and kernel canonical correlation analysis) embedded in our novel framework are promising tools to link behavior and/or symptoms to neurobiology and thus have great potential to contribute to a biologically grounded definition of psychiatric disorders. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
20. miR156-targeted SPL10 controls Arabidopsis root meristem activity and root-derived de novo shoot regeneration via cytokinin responses.
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Barrera-Rojas, Carlos Hernán, Rocha, Gabriel Henrique Braga, Polverari, Laura, Brito, Diego Armando Pinheiro, Batista, Diego Silva, Notini, Marcela M, Cruz, Ana Claudia Ferreira da, Morea, Edna Gicela Ortiz, Sabatini, Sabrina, Otoni, Wagner Campos, and Nogueira, Fabio Tebaldi Silveira
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CYTOKININS , *ROOT development , *ARABIDOPSIS , *MERISTEMS , *ROOT growth , *PLANT shoots - Abstract
Root growth is modulated by different factors, including phytohormones, transcription factors, and microRNAs (miRNAs). MicroRNA156 and its targets, the SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes, define an age-dependent pathway that controls several developmental processes, including lateral root emergence. However, it remains unclear whether miR156-regulated SPL s control root meristem activity and root-derived de novo shoot regeneration. Here, we show that MIR156 and SPL genes have opposing expression patterns during the progression of primary root (PR) growth in Arabidopsis, suggesting that age cues may modulate root development. Plants with high miR156 levels display reduced meristem size, resulting in shorter primary root (PRs). Conversely, plants with reduced miR156 levels show higher meristem activity. Importantly, loss of function of SPL10 decreases meristem activity, while SPL10 de-repression increases it. Meristem activity is regulated by SPL10 probably through the reduction of cytokinin responses, via the modulation of type-B ARABIDOPSIS RESPONSE REGULATOR1 (ARR1) expression. We also show that SPL10 de-repression in the PRs abolishes de novo shoot regenerative capacity by attenuating cytokinin responses. Our results reveal a cooperative regulation of root meristem activity and root-derived de novo shoot regeneration by integrating age cues with cytokinin responses via miR156-targeted SPL10. [ABSTRACT FROM AUTHOR]
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- 2020
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21. MOEA/D with chain-based random local search for sparse optimization.
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Li, Hui, Sun, Jianyong, Wang, Mingyang, and Zhang, Qingfu
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EVOLUTIONARY algorithms , *MATHEMATICAL optimization , *SPARSE approximations , *COMPRESSED sensing , *NP-hard problems , *COMBINATORIAL optimization - Abstract
The goal in sparse approximation is to find a sparse representation of a system. This can be done by minimizing a data-fitting term and a sparsity term at the same time. This sparse term imposes penalty for sparsity. In classical iterative thresholding methods, these two terms are often combined into a single function, where a relaxed parameter is used to balance the error and the sparsity. It is acknowledged that the setting of relaxed parameter is sensitive to the performance of iterative thresholding methods. In this paper, we proposed to address this difficulty by finding a set of nondominated solutions with different sparsity levels via multiobjective evolutionary algorithms (MOEAs). A new MOEA/D is developed specifically for sparse optimization, in which a chain-based random local search (CRLS) is employed for optimizing subproblems with various sparsity levels. The performance of the proposed algorithm, denoted by MOEA/D-CRLS, is tested on a set of sixteen noise-free or noisy test problems. Our experimental results suggest that MOEA/D-CRLS is competitive regarding the solution precision on the noise-free test problems, and clearly superior on the noisy test problems against three existing representative sparse optimization methods. [ABSTRACT FROM AUTHOR]
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- 2018
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22. Noise in ICUs: Review and Detailed Analysis of Long-Term SPL Monitoring in ICUs in Northern Spain.
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Althahab, Awwab Qasim Jumaah, Vuksanovic, Branislav, Al-Mosawi, Mohamed, Machimbarrena, Maria, and Arias, Roi
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FREQUENCY-domain analysis ,INTENSIVE care units ,TIME series analysis - Abstract
Intensive care units (ICUs) are busy and noisy areas where patients and professional staff can be exposed to acoustic noise for long periods of time. In many cases, noise levels significantly exceed the levels recommended by the official health organisations. This situation can affect not only patient recovery but also professional staff, making ICUs unhealthy work and treatment environments. To introduce the measures and reduce the acoustic noise in the ICU, acoustic noise levels should first be measured and then appropriately analysed. However, in most studies dealing with this problem, measurements have been performed manually over short periods, leading to limited data being collected. They are usually followed by insufficient analysis, which in turn results in inadequate measures and noise reduction. This paper reviews recent works dealing with the problem of excessively high noise levels in ICUs and proposes a more thorough analysis of measured data both in the time and frequency domains. Applied frequency domain analysis identifies the cyclic behaviour of the measured sound pressure levels (SPLs) and detects the dominant frequency components in the SPL time series. Moreover, statistical analyses are produced to depict the patterns and SPLs to which patients in ICUs are typically exposed during their stay in the ICU. It has been shown that the acoustic environment is very similar every night, while it can vary significantly during the day or evening periods. However, during most of the observed time, recorded SPLs were significantly above the prescribed values, indicating an urgent need for their control and reduction. To effectively tackle this problem, more detailed information about the nature of noise during each of the analysed periods of the day is needed. This issue will be addressed in the continuation of this project. [ABSTRACT FROM AUTHOR]
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- 2022
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23. Sistemas Produtivos Localizados (SPLs) como mecanismo de regulação e governação das dinâmicas socioeconômicas dos territórios
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Jorge Amaral de Moraes and Sérgio Schneider
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Sistemas Produtivos Localizados ,SPLs ,Dinâmicas Socioeconômicas ,Desenvolvimento territorial ,Regulação ,Governação ,Human ecology. Anthropogeography ,GF1-900 ,Social Sciences ,Social sciences (General) ,H1-99 - Abstract
Com os desequilíbrios regionais-locais e a reestruturação da produção capitalista globalizada, cresceu a importância da produção flexível, da inovação, das vantagens competitivas e das externalidades. O objetivo deste artigo é apresentar os Sistemas Produtivos Localizados (SPLs) como mecanismo de mediação entre os efeitos da globalização e as dinâmicas socioeconômicas locais de desenvolvimento dos territórios, através da regulação e da governação, aproveitando as oportunidades externas e as potencialidades endógenas dos territórios. Esses, então, passam a ser representados pelas suas dinâmicas locais de desenvolvimento e tomam a forma de seus SPLs, quando são analisados do ponto de vista organizacional, produtivo, social e institucional e de suas articulações externas e internas, resultantes das ações humanas de reciprocidade, cooperação e concorrência. Através desse mecanismo, atores e instituições passam a gerenciar a produção e os recursos endógenos, executando ações de regulação e governação do território.
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- 2011
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24. The Mulberry SPL Gene Family and the Response of MnSPL7 to Silkworm Herbivory through Activating the Transcription of MnTT2L2 in the Catechin Biosynthesis Pathway
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Hongshun Li, Bi Ma, Yiwei Luo, Wuqi Wei, Jianglian Yuan, Changxin Zhai, and Ningjia He
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QH301-705.5 ,phylogenetic analysis ,Organic Chemistry ,silkworm herbivory ,General Medicine ,Catalysis ,mulberry ,SPLs ,MnSPL7/MnTT2L2 module ,Computer Science Applications ,Inorganic Chemistry ,Chemistry ,Physical and Theoretical Chemistry ,Biology (General) ,Molecular Biology ,QD1-999 ,Spectroscopy - Abstract
SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes, as unique plant transcription factors, play important roles in plant developmental regulation and stress response adaptation. Although mulberry is a commercially valuable tree species, there have been few systematic studies on SPL genes. In this work, we identified 15 full-length SPL genes in the mulberry genome, which were distributed on 4 Morus notabilis chromosomes. Phylogenetic analysis clustered the SPL genes from five plants (Malus × domestica Borkh, Populus trichocarpa, M. notabilis, Arabidopsis thaliana, and Oryza sativa) into five groups. Two zinc fingers (Zn1 and Zn2) were found in the conserved SBP domain in all of the MnSPLs. Comparative analyses of gene structures and conserved motifs revealed the conservation of MnSPLs within a group, whereas there were significant structure differences among groups. Gene quantitative analysis showed that the expression of MnSPLs had tissue specificity, and MnSPLs had much higher expression levels in older mulberry leaves. Furthermore, transcriptome data showed that the expression levels of MnSPL7 and MnSPL14 were significantly increased under silkworm herbivory. Molecular experiments revealed that MnSPL7 responded to herbivory treatment through promoting the transcription of MnTT2L2 and further upregulating the expression levels of catechin synthesis genes (F3′H, DFR, and LAR).
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- 2022
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25. Estimation of leaf nitrogen levels in sugarcane using hyperspectral models
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Pedro Paulo da Silva Barros, Peterson Ricardo Fiorio, José Alexandre de Melo Demattê, Juliano Araújo Martins, Zaqueu Fernando Montezano, and Fábio Luis Ferreira Dias
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sensoriamento remoto ,regression model ,General Veterinary ,reflectance ,Agriculture (General) ,Agriculture ,Saccharumspp ,nitrogen fertilization ,sPLS ,Saccharumspp,adubação nitrogenada ,S1-972 ,remote sensing ,Animal Science and Zoology ,modelo de regressão ,reflectância ,Agronomy and Crop Science - Abstract
Sugarcane is a good source of renewable energy and helps reduce the emission of greenhouse gases. Nitrogen has a critical role in plant growth; therefore,estimating nitrogen levels is essential, and remote sensing can improve fertilizer management. This field study selects wavelengths from hyperspectral data on a sugarcane canopy to generate models for estimating leaf nitrogen concentrations. The study was carried out in the municipalities of Piracicaba, Jaú, and Santa Maria da Serra, state of São Paulo, in the 2013/2014 growing season. The experiments were carried out using a completely randomized block design with split plots (three sugarcane varieties per plot [variety SP 81-3250 was common to all plots] and four nitrogen concentrations [0, 50, 100, and 150 kgha-1] per subplot) and four repetitions. The wavelengths that best correlated with leaf nitrogen were selected usingsparse partial least square regression. The wavelength regionswere combinedby stepwise multiple linear regression. Spectral bands in the visible (700-705 nm), red-edge (710-720 nm), near-infrared (725, 925, 955, and 980 nm), and short-wave infrared (1355, 1420, 1595, 1600, 1605, and 1610 nm) regions were identified. The R² and RMSE of the model were 0.50 and 1.67 g.kg-1, respectively. The adjusted R² and RMSE of the models for Piracicaba, Jaú, and Santa Maria were 0.31 (unreliable) and 1.30 g.kg-1, 0.53 and 1.96 g.kg-1, and 0.54 and 1.46 g.kg-1, respectively. Our results showed that canopy hyperspectral reflectance can estimate leaf nitrogen concentrations and manage nitrogen application in sugarcane. RESUMO: A cana-de-açúcar se destaca como uma das fontes de energia renovável frente às estratégias para reduzir a emissão de gases causadores do efeito estufa. O nitrogênio é um dos mais significativos devido ao seu impacto no crescimento de folhas e colmos. Portanto, o monitoramento eficiente do nitrogênio aplicado é essencial e o sensoriamento remoto se apresenta como uma alternativa na melhoria do gerenciamento da adubação. O presente trabalho teve por objetivo selecionar comprimentos de onda a partir de dados hiperespectrais de dossel da cana-de-açúcar para geração de modelos na predição da concentração de Nitrogênio. O estudo foi realizado em experimentos de campo instalados nos municípios de Piracicaba, Jaú e Santa Maria da Serra, estado São Paulo, na safra 2013/2014. Cada experimento foi alocado em blocos ao acaso, com parcelas subdivididas e quatro repetições, com variedades de cana-de-açúcar na parcela (três variedades por local, sendo a SP 81-3250 comum à todos) e doses de nitrogênio (0, 50, 100 e 150 kg.ha-1) na subparcela. Na seleção dos comprimentos de onda que melhor se correlacionam com o TFN foi utilizada a metodologia sPLS. Posteriormente, foi realizada a combinação linear dos comprimentos de onda selecionados pela metodologia sPLS, por meio de Regressão Linear Múltipla por Stepwise (SMLR). Foram identificadas bandas importantes nas regiões do visível (700 a 705 nm), red-edge(710 a 720 nm), infravermelho próximo (725, 925, 955 e 980 nm) e infravermelho de ondas curtas (1355, 1420, 1595, 1600, 1605 e 1610 nm). O modelo de predição de TFN teve valores de R² de 0,50 e o RMSE de 1,67 g.kg-1. Os modelos gerados para Piracicaba, Jaú e Santa Maria obtiveram R² ajustados e RMSE, respectivamente, de 0,31 considerado não confiável (1,30 g.kg-1), 0,53 (1,96 g.kg-1) e 0,54 (1,46 g.kg-1). Os sensores hiperespectrais de dossel podem ser utilizados para predição do TFN e monitoramento de aplicação de nitrogênio em cana-de-açúcar.
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- 2021
26. Genome-Wide Characterization of SPL Gene Family in Codonopsis pilosula Reveals the Functions of CpSPL2 and CpSPL10 in Promoting the Accumulation of Secondary Metabolites and Growth of C. pilosula Hairy Root
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Xiaozeng Yang, Zhonglong Guo, Wentao Wang, Xiaoyan Cao, and Jing Yang
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hairy root ,Oryza sativa ,biology ,biomass ,Codonopsis pilosula ,secondary metabolites ,Lateral root ,fungi ,food and beverages ,QH426-470 ,biology.organism_classification ,Physcomitrella patens ,Vegetative phase change ,expression patterns ,SPLs ,Botany ,Genetics ,Arabidopsis thaliana ,Gene family ,Gene ,Genetics (clinical) - Abstract
SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play critical roles in regulating diverse aspects of plant growth and development, including vegetative phase change, plant architecture, anthocyanin accumulation, lateral root growth, etc. In the present study, 15 SPL genes were identified based on the genome data of Codonopsis pilosula, a well-known medicinal plant. Phylogenetic analysis clustered CpSPLs into eight groups (G1-G8) along with SPLs from Arabidopsis thaliana, Solanum lycopersicum, Oryza sativa and Physcomitrella patens. CpSPLs in the same group share similar gene structure and conserved motif composition. Cis-acting elements responding to light, stress and phytohormone widely exist in their promoter regions. Our qRT-PCR results indicated that 15 CpSPLs were differentially expressed in different tissues (root, stem, leaf, flower and calyx), different developmental periods (1, 2 and 3 months after germination) and various conditions (NaCl, MeJA and ABA treatment). Compared with the control, overexpression of CpSPL2 or CpSPL10 significantly promoted not only the growth of hairy roots, but also the accumulation of total saponins and lobetyolin. Our results established a foundation for further investigation of CpSPLs and provided novel insights into their biological functions. As far as we know, this is the first experimental research on gene function in C. pilosula.
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- 2021
27. Genome-Wide Characterization of SPL Gene Family in
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Jing, Yang, Zhonglong, Guo, Wentao, Wang, Xiaoyan, Cao, and Xiaozeng, Yang
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hairy root ,Codonopsis ,biomass ,secondary metabolites ,Gene Expression Profiling ,fungi ,food and beverages ,Codonopsis pilosula ,Exons ,Plant Roots ,Introns ,Article ,expression patterns ,SPLs ,Promoter Regions, Genetic ,Genome, Plant ,Phylogeny ,Transcription Factors - Abstract
SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play critical roles in regulating diverse aspects of plant growth and development, including vegetative phase change, plant architecture, anthocyanin accumulation, lateral root growth, etc. In the present study, 15 SPL genes were identified based on the genome data of Codonopsis pilosula, a well-known medicinal plant. Phylogenetic analysis clustered CpSPLs into eight groups (G1-G8) along with SPLs from Arabidopsis thaliana, Solanum lycopersicum, Oryza sativa and Physcomitrella patens. CpSPLs in the same group share similar gene structure and conserved motif composition. Cis-acting elements responding to light, stress and phytohormone widely exist in their promoter regions. Our qRT-PCR results indicated that 15 CpSPLs were differentially expressed in different tissues (root, stem, leaf, flower and calyx), different developmental periods (1, 2 and 3 months after germination) and various conditions (NaCl, MeJA and ABA treatment). Compared with the control, overexpression of CpSPL2 or CpSPL10 significantly promoted not only the growth of hairy roots, but also the accumulation of total saponins and lobetyolin. Our results established a foundation for further investigation of CpSPLs and provided novel insights into their biological functions. As far as we know, this is the first experimental research on gene function in C. pilosula.
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- 2021
28. Characterization of temperature gradients according to height in a baroque church by means of wireless sensors
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Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, COMISION DE LAS COMUNIDADES EUROPEA, Ramírez, Sandra, Zarzo Castelló, Manuel, Perles, Angel, García Diego, Fernando Juan, Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada, Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat, Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, COMISION DE LAS COMUNIDADES EUROPEA, Ramírez, Sandra, Zarzo Castelló, Manuel, Perles, Angel, and García Diego, Fernando Juan
- Abstract
[EN] The baroque church of Saint Thomas and Saint Philip Neri (Valencia, Spain), which was built between 1727 and 1736, contains valuable paintings by renowned Spanish artists. Due to the considerable height of the central nave, the church can experience vertical temperature gradients. In order to investigate this issue, temperatures were recorded between August 2017 and February 2018 from a wireless monitoring system composed of 21 sensor nodes, which were located at different heights in the church from 2 to 13 m from the floor level. For characterizing the temperature at high, medium and low altitude heights, a novel methodology is proposed based on sparse Partial Least Squares regression (sPLS), Linear Discriminant Analysis (LDA), and the Holt-Winters method, among others, which were applied to a time series of temperature. This approach is helpful to discriminate temperature profiles according to sensor height. Once the vertical thermal gradients for each month were characterized, it was found that temperature reached the maximum correlation with sensor height in the period between August 10th and September 9th. Furthermore, the most important features from the time series that explain this correlation are the mean temperature and the mean of moving range. In the period mentioned, the vertical thermal gradient was estimated to be about 0.043 ºC/m, which implies a difference of 0.47 ºC on average between sensor nodes at 2 m from the floor with respect to the upper ones located at 13 m from the floor level. The gradient was estimated as the slope from a linear regression model using height and hourly mean temperature as the predictor and response, respectively. This gradient is consistent with similar reported studies. The fact that such gradient was only found in one month suggests that the mechanisms of dust deposition on walls involved in vertical thermal gradients are not important in this case regarding the preventive conservation of artworks. Furthermore, th
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- 2021
29. Overexpression of OsmiR156k leads to reduced tolerance to cold stress in rice (Oryza Sativa)
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Cui, Na, Sun, Xiaoli, Sun, Mingzhe, Jia, Bowei, Duanmu, Huizi, Lv, Dekang, Duan, Xu, and Zhu, Yanming
- Abstract
The microRNA156 (miR156) family ‘has’ been well demonstrated to regulate plant growth and development. However, no reports focused on the roles of miR156s in environmental stress responses. In previous studies, we identified 18 cold stress responsive microRNAs in rice by using microarray analysis. Here, in the present study, we focused on the biological function of one of these cold responsive microRNAs, OsmiR156k. We generated the transgenic rice overexpressing OsmiR156k under the control of CaMV35S promoter, and verified the presence of OsmiR156k by using Southern blot analysis. We found that overexpression of OsmiR156k inhibited the seedling growth at the very early seedling stage under cold stress. Furthermore, OsmiR156k overexpression decreased plant cold tolerance at the young seedling growth stage, as evidenced by lower survival rates, chlorophyll contents and proline contents. As expected, we also suggested the down-regulated expression of the cold stress responsive genes, 01g22249 and OsP5CS, and OsmiR156k-tagated SPL genes, SPL3, SPL14 and SPL17, in the OsmiR156k transgenic lines. Taken together, our findings suggest that overexpression of OsmiR156k decreased the tolerance to cold stress in rice. [ABSTRACT FROM AUTHOR]
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- 2015
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30. Epigenetic control of juvenile-to-adult phase transition by the Arabidopsis SAGA-like complex.
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Kim, Ji‐Yun, Oh, Jee Eun, Noh, Yoo‐Sun, and Noh, Bosl
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EPIGENETICS , *ARABIDOPSIS proteins , *ANIMAL young , *TRANSCRIPTION factors , *BEHAVIORAL embryology - Abstract
During growth and development, plants undergo a series of phase transitions from the juvenile-to-adult vegetative phase to the reproductive phase. In Arabidopsis, vegetative phase transitions and flowering are regulated by SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) factors. SPL mRNAs are post-transcriptionally regulated by miR156 in an age-dependent manner; however, the role of other mechanisms in this process is not known. In this study, we demonstrate that the HAG1/GCN5- and PRZ1/ADA2b-containing SAGA-like histone acetyltransferase (HAT) complex directly controls the transcription of SPLs and determines the time for juvenile-to-adult phase transition. Thus, epigenetic control by the SAGA-like HAT complex determines the transcriptional output of SPLs, which might be a prerequisite for the subsequent post-transcriptional regulation by miR156. Importantly, this epigenetic control mechanism is also crucial for miR156-independent induction of SPLs and acceleration of phase transition by light and photoperiod or during post-embryonic growth. [ABSTRACT FROM AUTHOR]
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- 2015
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31. A variant of sparse partial least squares for variable selection and data exploration.
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Hunt, Megan J. Olson, Weissfeld, Lisa, Boudreau, Robert M., Aizenstein, Howard, Newman, Anne B., Simonsick, Eleanor M., Van Domelen, Dane R., Thomas, Fridtjof, Yaffe, Kristine, and Rosano, Caterina
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MULTICOLLINEARITY ,HYPOTHESIS ,ESTIMATION theory ,STATISTICAL correlation ,REGRESSION analysis - Abstract
When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed "all-possible" SPLS is proposed, which fits a SPLS model for all tuning parameter values across a set grid. Noted is the percentage of time a given predictor is chosen, as well as the average non-zero parameter estimate. Using a "large" number of multicollinear predictors, simulation confirmed variables not associated with the outcome were least likely to be chosen as sparsity increased across the grid of tuning parameters, while the opposite was true for those strongly associated. Lastly, variables with a weak association were chosen more often than those with no association, but less often than those with a strong relationship to the outcome. Similarly, predictors most strongly related to the outcome had the largest average parameter estimate magnitude, followed by those with a weak relationship, followed by those with no relationship. Across two independent studies regarding the relationship between volumetric MRI measures and a cognitive test score, this method confirmed a priori hypotheses about which brain regions would be selected most often and have the largest average parameter estimates. In conclusion, the percentage of time a predictor is chosen is a useful measure for ordering the strength of the relationship between the independent and dependent variables, serving as a form of inference. The average parameter estimates give further insight regarding the direction and strength of association. As a result, all-possible SPLS gives more information than the dichotomous output of traditional SPLS, making it useful when undertaking data exploration and hypothesis generation for a large number of potential predictors. [ABSTRACT FROM AUTHOR]
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- 2014
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32. Involvement of miR156 in the Regulation of Vegetative Phase Change in Plants.
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Lu Zhang, You-biao Hu, Hua-sen Wang, Sheng-jun Feng, and Yu-ting Zhang
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PLANT growth , *PLANT development , *DEVELOPMENTAL genetics , *PLANTS - Abstract
Plant growth and development are determined by complex exogenous and endogenous cues. A plant follows several temporally distinct developmental stages, including embryonic, vegetative, and reproductive. The vegetative stage, which is usually the longest stage, can be subdivided into juvenile and adult phases. The transition from the juvenile to the adult phase, also called the vegetative phase change, is characterized by anatomical, morphological, and physiological changes in the vegetative parts of the shoot. Recent studies in several systems have identified the genetic temporal mechanisms of this process, which is regulated by an endogenous age cue (i.e., microRNA156/157) and its targeted genes (i.e., Squamosa promoter binding protein-box transcription factors). This review summarizes the recent advances in the study of the underlying regulatory mechanisms of vegetative phase change. This review also describes the modes of miRNA action and the functions of their targeted genes in this highly conserved developmental process. [ABSTRACT FROM AUTHOR]
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- 2015
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33. Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain–Behavior Relationships
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Universidad de Sevilla. departamento de Fisiología Médica y Biofísica, Mihalik, Agoston, Ferreira, Fabio S., Moutoussis, Michael, Ziegler, Gabriel, Adams, Rick A., Rosa, Maria J., Romero García, Rafael, Mourão-Miranda, Janaina, Universidad de Sevilla. departamento de Fisiología Médica y Biofísica, Mihalik, Agoston, Ferreira, Fabio S., Moutoussis, Michael, Ziegler, Gabriel, Adams, Rick A., Rosa, Maria J., Romero García, Rafael, and Mourão-Miranda, Janaina
- Abstract
BACKGROUND: In 2009, the National Institute of Mental Health launched the Research Domain Criteria, an attempt to move beyond diagnostic categories and ground psychiatry within neurobiological constructs that combine different levels of measures (e.g., brain imaging and behavior). Statistical methods that can integrate such multimodal data, however, are often vulnerable to overfitting, poor generalization, and difficulties in interpreting the results. METHODS: We propose an innovative machine learning framework combining multiple holdouts and a stability criterion with regularized multivariate techniques, such as sparse partial least squares and kernel canonical correlation analysis, for identifying hidden dimensions of cross-modality relationships. To illustrate the approach, we investigated structural brain–behavior associations in an extensively phenotyped developmental sample of 345 participants (312 healthy and 33 with clinical depression). The brain data consisted of whole-brain voxel-based gray matter volumes, and the behavioral data included item-level self-report questionnaires and IQ and demographic measures. RESULTS: Both sparse partial least squares and kernel canonical correlation analysis captured two hidden dimensions of brain–behavior relationships: one related to age and drinking and the other one related to depression. The applied machine learning framework indicates that these results are stable and generalize well to new data. Indeed, the identified brain–behavior associations are in agreement with previous findings in the literature concerning age, alcohol use, and depression-related changes in brain volume. CONCLUSIONS: Multivariate techniques (such as sparse partial least squares and kernel canonical correlation analysis) embedded in our novel framework are promising tools to link behavior and/or symptoms to neurobiology and thus have great potential to contribute to a biologically grounded definition of psychiatric disorders.
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- 2020
34. Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics
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Féraud, Baptiste, Leenders, Justine, Martineau, Estelle, Giraudeau, Patrick, Govaerts, Bernadette, and de Tullio, Pascal
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- 2019
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35. Feedback control for switched positive linear systems.
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Zhang, Junfeng, Han, Zhengzhi, Zhu, Fubo, and Huang, Jun
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This study investigates the feedback control for a class of switched positive linear systems (SPLSs). By means of the linear programming approach, output‐feedback and state‐feedback controllers for the underlying systems with average dwell time are designed, respectively. Under these controllers, the closed‐loop systems are positive and asymptotically stable. These results obtained provide a way to solve the control synthesis problems of SPLSs by multiple linear copositive Lyapunov functions. Finally, an example is given to illustrate the validity of the present design. [ABSTRACT FROM AUTHOR]
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- 2013
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36. A View of the Dynamic Software Product Line Landscape.
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Bencomo, Nelly, Hallsteinsen, Svein, and Almeida, Eduardo Santana de
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COMPUTER software , *PRODUCT lines , *RESEARCH , *COMPUTER systems , *COMMERCIAL products - Abstract
Dynamic software product lines extend the concept of conventional SPLs by enabling software-variant generation at runtime. Recent studies yield insights into the current state of the DSPL field, research trends, and major gaps to address. [ABSTRACT FROM PUBLISHER]
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- 2012
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37. Single-port hernia repair: a prospective cohort of 102 patients.
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Soon, Y., Yip, E., Onida, S., and Mangat, H.
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HERNIA surgery , *LAPAROSCOPIC surgery , *INGUINAL hernia ,ROYAL Surrey County Hospital (Guildford, England) - Abstract
Background: Single-port laparoscopic surgery (SPLS) for totally extraperitoneal (TEP) groin hernia repair is a novel procedure, ensuring safe and effective repairs. The aim of this study was to assess the intra-operative and post-operative outcome for 102 patients undergoing SPLS TEP inguinal hernia repair at the Royal Surrey County Hospital in Guildford, UK. This follows on from our previously published series of 16 patients, demonstrating the safety and feasibility of SPLS in our cohort (Agrawal et al. in Surg Endosc 24:952-956, ). Methods: Between October 2008 and August 2010, we performed hernia repairs on 102 patients (98 men, 4 women) aged between 21 and 89 years (median 60). Patient demographics, type of hernia, incision length, operating time, complications, post-operative hospital stay, and recurrence were collected prospectively. Post-operative outcome was measured in terms of days to return to normal activities, work, and analgesia required. Results: Sixty patients had unilateral and 39 bilateral hernias, with 2 femoral hernias and one lipoma of cord. Operating time was 15-120 min (median 35 for unilateral and 45 for bilateral repairs). The incision length ranged between 15 and 40 mm (median 25). There was 1 intra-operative complication (major peritoneal incursion) and 13 minor post-operative complications, with 8 urinary retentions. There were no mortalities and one recurrence at follow-up (up to 713 days). Conclusion: The authors' experience has shown that SPLS TEP groin hernia repair is a feasible and safe alternative to three-port laparoscopic hernia repairs in a large patient cohort. There were minimal post-operative complications and good post-operative outcome. Recurrence rate was 0.98 %. Further studies are required to assess the long-term outcome of SPLS hernia repairs in direct comparison with three-port technique. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
38. Reproductive competence from an annual and a perennial perspective.
- Author
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Bergonzi, Sara and Albani, Maria C.
- Subjects
- *
PLANTS , *FLOWERS , *PERENNIALS , *GENETICS , *ARABIDOPSIS thaliana , *ARABIDOPSIS - Abstract
Plants at early stages of development undergo a juvenile phase during which they are not competent to flower in response to environmental stimuli. The length of this phase varies among species and is extended in perennial plants particularly. In annuals, temporal changes in expression of microR156 (miR156), miR172, and their targets are correlated with the transition from the juvenile to the adult phase and flowering. This developmental transition in perennials is probably more complex than in other plants and the molecular mechanisms are less well understood. In addition, once perennials become adult and capable of reproduction they still keep some meristems in the vegetative state that contribute to their polycarpic growth habit. Juvenility and polycarpy, although considered as two different processes in perennials, might be related. [ABSTRACT FROM PUBLISHER]
- Published
- 2011
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- View/download PDF
39. FamiWare: a family of event-based middleware for ambient intelligence.
- Author
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Gámez, Nadia and Fuentes, Lidia
- Subjects
- *
MIDDLEWARE , *COMPUTER software , *AMBIENT intelligence , *AMBIENT sounds , *HUMAN-computer interaction , *UBIQUITOUS computing - Abstract
Most of the middlewares currently available focus on one type of device (e.g., TinyOS sensors) and/or are designed with one requirement in mind (e.g., data management). This is an important limitation since most of the AmI applications work with several devices (such as sensors, smartphones or PDAs) and use a high diversity of low-level services . Ideally, the middleware should provide a single interface for accessing all those services able to work in heterogeneous devices. To address this issue, we propose a family of configurable middleware (FamiWare) with a really flexible architecture, instead of building a single version of a middleware with a rigid structure. In this work, we present the architecture of our middleware that can be configured, following a Software Product Line approach, in order to be instantiated in a particular device fulfilling specific application requirements. Furthermore, we evaluate that the decisions taken at architecture and implementation are the adequate ones for this kind of constrained devices. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
40. Effects of neuropeptide S on the proliferation of splenic lymphocytes, phagocytosis, and proinflammatory cytokine production of pulmonary alveolar macrophages in the pig
- Author
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Yao, Yuan, Su, Juan, Yang, Guihong, Zhang, Guorui, Lei, Zhihai, Zhang, Fan, Li, Xun, Kou, Rui, Liu, Yanpeng, and Liu, Jing
- Subjects
- *
CYTOKINES , *NEUROPEPTIDES , *LYMPHOCYTES , *PHAGOCYTOSIS , *CELL proliferation , *MACROPHAGES , *PULMONARY alveoli , *LABORATORY swine - Abstract
Abstract: Neuropeptide S (NPS), a newly identified neuropeptide, is involved in many physiological and pathological activities through the NPS receptor (NPSR). Recently, the NPS and NPSR have been detected in peripheral systems of pigs including immune tissues, suggesting that NPS may play an important role in the regulation of immune function. The aim of this study was to demonstrate the presence and function of NPS and NPSR in splenic lymphocytes (SPLs) and pulmonary alveolar macrophages (PAMs) of pigs. By RT-PCR, the expression of NPS and NPSR mRNA was detected in the SPLs and PAMs. NPS immunoreactivity was observed in the membrane and cytoplasm of both SPLs and PAMs. We found that NPS could stimulate the proliferation of SPLs, when NPS was added at concentrations of 0.01, 0.1, 1, 10, 100 and 1000nM alone or in combination with PHA/LPS in vitro. In macrophages from bronchoalveolar lavage (BAL) fluid of pigs, various doses of NPS (0.01, 0.1, 1, 10, 100 and 1000nM) up-regulated the phagocytosis of PAMs in comparison to controls. In PAMs, NPS could induce the production of the pro-inflammatory cytokines IL-1β, IL-6 and TNF-α. Taken together, all data suggest that NPS is capable of inducing phagocytosis of non-opsonized E. coli. NPS might act as potent neuroimmunomodulatory factors and affects the maintenance of immune homeostasis. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
41. miR172 Regulates WUS during Somatic Embryogenesis in Arabidopsis via AP2.
- Author
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Nowak, Katarzyna, Morończyk, Joanna, Grzyb, Małgorzata, Szczygieł-Sommer, Aleksandra, and Gaj, Małgorzata D.
- Subjects
SOMATIC embryogenesis ,HISTONE acetylation ,ARABIDOPSIS ,GENE families ,SOMATIC cells ,TRANSCRIPTION factors - Abstract
In plants, the embryogenic transition of somatic cells requires the reprogramming of the cell transcriptome, which is under the control of genetic and epigenetic factors. Correspondingly, the extensive modulation of genes encoding transcription factors and miRNAs has been indicated as controlling the induction of somatic embryogenesis in Arabidopsis and other plants. Among the MIRNAs that have a differential expression during somatic embryogenesis, members of the MIRNA172 gene family have been identified, which implies a role of miR172 in controlling the embryogenic transition in Arabidopsis. In the present study, we found a disturbed expression of both MIRNA172 and candidate miR172-target genes, including AP2, TOE1, TOE2, TOE3, SMZ and SNZ, that negatively affected the embryogenic response of transgenic explants. Next, we examined the role of AP2 in the miR172-mediated mechanism that controls the embryogenic response. We found some evidence that by controlling AP2, miR172 might repress the WUS that has an important function in embryogenic induction. We showed that the mechanism of the miR172-AP2-controlled repression of WUS involves histone acetylation. We observed the upregulation of the WUS transcripts in an embryogenic culture that was overexpressing AP2 and treated with trichostatin A (TSA), which is an inhibitor of HDAC histone deacetylases. The increased expression of the WUS gene in the embryogenic culture of the hdac mutants further confirmed the role of histone acetylation in WUS control during somatic embryogenesis. A chromatin-immunoprecipitation analysis provided evidence about the contribution of HDA6/19-mediated histone deacetylation to AP2-controlled WUS repression during embryogenic induction. The upstream regulatory elements of the miR172-AP2-WUS pathway might involve the miR156-controlled SPL9/SPL10, which control the level of mature miR172 in an embryogenic culture. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
42. Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics
- Author
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UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles, Feraud, Baptiste, Leenders, Justine, Martineau, Estelle, Giraudeau, Patrick, Govaerts, Bernadette, de Tullio, Pascal, UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles, Feraud, Baptiste, Leenders, Justine, Martineau, Estelle, Giraudeau, Patrick, Govaerts, Bernadette, and de Tullio, Pascal
- Abstract
Introduction The pre-processing of analytical data in metabolomics must be considered as a whole to allow the construction of a global and unique object for any further simultaneous data analysis or multivariate statistical modelling. For 1D 1H-NMR metabolomics experiments, best practices for data pre-processing are well defined, but not yet for 2D experiments (for instance COSY in this paper). Objective By considering the added value of a second dimension, the objective is to propose two workflows dedicated to 2D NMR data handling and preparation (the Global Peak List and Vectorization approaches) and to compare them (with respect to each other and with 1D standards). This will allow to detect which methodology is the best in terms of amount of metabolomic content and to explore the advantages of the selected workflow in distinguishing among treatment groups and identifying relevant biomarkers. Therefore, this paper explores both the necessity of novel 2D pre-processing workflows, the evaluation of their quality and the evaluation of their performance in the subsequent determination of accurate (2D) biomarkers. Methods To select the more informative data source, MIC (Metabolomic Informative Content) indexes are used, based on clustering and inertia measures of quality. Then, to highlight biomarkers or critical spectral zones, the PLS-DA model is used, along with more advanced sparse algorithms (sPLS and L-sOPLS). Results Results are discussed according to two different experimental designs (one which is unsupervised and based on human urine samples, and the other which is controlled and based on spiked serum media). MIC indexes are shown, leading to the choice of the more relevant workflow to use thereafter. Finally, biomarkers are provided for each case and the predictive power of each candidate model is assessed with cross-validated measures of RMSEP. Conclusion In conclusion, it is shown that no solution can be universally the best in every case, but that 2D exp
- Published
- 2019
43. Characterization of Temperature Gradients According to Height in a Baroque Church by Means of Wireless Sensors.
- Author
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Ramírez, Sandra, Zarzo, Manuel, Perles, Angel, and García-Diego, Fernando-Juan
- Subjects
HISTORIC buildings ,PARTIAL least squares regression ,TEMPERATURE lapse rate ,FISHER discriminant analysis ,DETECTORS ,CONSERVATION & restoration ,LEAST squares - Abstract
The baroque church of Saint Thomas and Saint Philip Neri (Valencia, Spain), which was built between 1727 and 1736, contains valuable paintings by renowned Spanish artists. Due to the considerable height of the central nave, the church can experience vertical temperature gradients. In order to investigate this issue, temperatures were recorded between August 2017 and February 2018 from a wireless monitoring system composed of 21 sensor nodes, which were located at different heights in the church from 2 to 13 m from the floor level. For characterizing the temperature at high, medium and low altitude heights, a novel methodology is proposed based on sparse Partial Least Squares regression (sPLS), Linear Discriminant Analysis (LDA), and the Holt-Winters method, among others, which were applied to a time series of temperature. This approach is helpful to discriminate temperature profiles according to sensor height. Once the vertical thermal gradients for each month were characterized, it was found that temperature reached the maximum correlation with sensor height in the period between August 10th and September 9th. Furthermore, the most important features from the time series that explain this correlation are the mean temperature and the mean of moving range. In the period mentioned, the vertical thermal gradient was estimated to be about 0.043 ∘ C/m, which implies a difference of 0.47 ∘ C on average between sensor nodes at 2 m from the floor with respect to the upper ones located at 13 m from the floor level. The gradient was estimated as the slope from a linear regression model using height and hourly mean temperature as the predictor and response, respectively. This gradient is consistent with similar reported studies. The fact that such gradient was only found in one month suggests that the mechanisms of dust deposition on walls involved in vertical thermal gradients are not important in this case regarding the preventive conservation of artworks. Furthermore, the methodology proposed here was useful to discriminate the time series at high, medium and low altitude levels. This approach can be useful when a set of sensors is installed for microclimate monitoring in churches, cathedrals, and other historical buildings, at different levels and positions. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
44. Genome-Wide Characterization of SPL Gene Family in Codonopsis pilosula Reveals the Functions of CpSPL2 and CpSPL10 in Promoting the Accumulation of Secondary Metabolites and Growth of C. pilosula Hairy Root.
- Author
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Yang, Jing, Guo, Zhonglong, Wang, Wentao, Cao, Xiaoyan, and Yang, Xiaozeng
- Subjects
- *
ABSCISIC acid , *METABOLITES , *GENE families , *ROOT growth , *PHYSCOMITRELLA patens , *PROMOTERS (Genetics) , *ANTHOCYANINS , *RICE - Abstract
SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors play critical roles in regulating diverse aspects of plant growth and development, including vegetative phase change, plant architecture, anthocyanin accumulation, lateral root growth, etc. In the present study, 15 SPL genes were identified based on the genome data of Codonopsis pilosula, a well-known medicinal plant. Phylogenetic analysis clustered CpSPLs into eight groups (G1-G8) along with SPLs from Arabidopsis thaliana, Solanum lycopersicum, Oryza sativa and Physcomitrella patens. CpSPLs in the same group share similar gene structure and conserved motif composition. Cis-acting elements responding to light, stress and phytohormone widely exist in their promoter regions. Our qRT-PCR results indicated that 15 CpSPLs were differentially expressed in different tissues (root, stem, leaf, flower and calyx), different developmental periods (1, 2 and 3 months after germination) and various conditions (NaCl, MeJA and ABA treatment). Compared with the control, overexpression of CpSPL2 or CpSPL10 significantly promoted not only the growth of hairy roots, but also the accumulation of total saponins and lobetyolin. Our results established a foundation for further investigation of CpSPLs and provided novel insights into their biological functions. As far as we know, this is the first experimental research on gene function in C. pilosula. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
45. Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics
- Author
-
Patrick Giraudeau, Pascal de Tullio, Baptiste Feraud, Justine Leenders, Estelle Martineau, Bernadette Govaerts, Université de Liège, Chimie Et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Institut de Statistique, Biostatistique et Sciences Actuarielles (ISBA), Université Catholique de Louvain = Catholic University of Louvain (UCL), and UCL - SSH/LIDAM/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles
- Subjects
Data Analysis ,Magnetic Resonance Spectroscopy ,Computer science ,Group method of data handling ,Endocrinology, Diabetes and Metabolism ,MESH: Algorithms Biomarkers Computational Biology / methods* Data Analysis Magnetic Resonance Imaging / methods Magnetic Resonance Spectroscopy / methods* Metabolomics / methods* Software Workflow ,Clinical Biochemistry ,PLS ,sPLS ,computer.software_genre ,01 natural sciences ,Biochemistry ,Workflow ,03 medical and health sciences ,[CHIM]Chemical Sciences ,Metabolomics ,2D NMR ,Biomarker discovery ,Dimension (data warehouse) ,Cluster analysis ,L-sOPLS ,030304 developmental biology ,0303 health sciences ,010401 analytical chemistry ,1H-NMR ,Computational Biology ,Magnetic Resonance Imaging ,COSY spectra ,0104 chemical sciences ,Data set ,Vectorization (mathematics) ,Metabolomic informative content (MIC) ,Data mining ,Data pre-processing ,computer ,Pre-prossessing workflows ,Algorithms ,Biomarkers ,Software - Abstract
International audience; Introduction: The pre-processing of analytical data in metabolomics must be considered as a whole to allow the construction of a global and unique object for any further simultaneous data analysis or multivariate statistical modelling. For 1D 1H-NMR metabolomics experiments, best practices for data pre-processing are well defined, but not yet for 2D experiments (for instance COSY in this paper).Objective: By considering the added value of a second dimension, the objective is to propose two workflows dedicated to 2D NMR data handling and preparation (the Global Peak List and Vectorization approaches) and to compare them (with respect to each other and with 1D standards). This will allow to detect which methodology is the best in terms of amount of metabolomic content and to explore the advantages of the selected workflow in distinguishing among treatment groups and identifying relevant biomarkers. Therefore, this paper explores both the necessity of novel 2D pre-processing workflows, the evaluation of their quality and the evaluation of their performance in the subsequent determination of accurate (2D) biomarkers.Methods: To select the more informative data source, MIC (Metabolomic Informative Content) indexes are used, based on clustering and inertia measures of quality. Then, to highlight biomarkers or critical spectral zones, the PLS-DA model is used, along with more advanced sparse algorithms (sPLS and L-sOPLS).Results: Results are discussed according to two different experimental designs (one which is unsupervised and based on human urine samples, and the other which is controlled and based on spiked serum media). MIC indexes are shown, leading to the choice of the more relevant workflow to use thereafter. Finally, biomarkers are provided for each case and the predictive power of each candidate model is assessed with cross-validated measures of RMSEP.Conclusion: In conclusion, it is shown that no solution can be universally the best in every case, but that 2D experiments allow to clearly find relevant cross peak biomarkers even with a poor initial separability between groups. The MIC measures linked with the candidate workflows (2D GPL, 2D vectorization, 1D, and with specific parameters) lead to visualize which data set must be used as a priority to more easily find biomarkers. The diversity of data sources, mainly 1D versus 2D, may often lead to complementary or confirmatory results.
- Published
- 2018
- Full Text
- View/download PDF
46. miR156/157 Targets SPLs to Regulate Flowering Transition, Plant Architecture and Flower Organ Size in Petunia.
- Author
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Zhou Q, Shi J, Li Z, Zhang S, Zhang S, Zhang J, Bao M, and Liu G
- Subjects
- Arabidopsis genetics, Arabidopsis physiology, Flowers anatomy & histology, Flowers genetics, Organ Size genetics, Petunia genetics, Phenotype, Phylogeny, Plants, Genetically Modified, Time Factors, Flowers physiology, Gene Expression Regulation, Plant, MicroRNAs genetics, Petunia physiology
- Abstract
miR156/157 plays multiple pivotal roles during plant growth and development. In this study, we identified 11 miR156- and 5 miR157-encoding loci from the genome of Petunia axillaris and Petunia inflata, designated as PaMIR0156/157s and PiMIR0156/157s, respectively. Real-time quantitative reverse transcription PCR (qRT-PCR) analysis indicated that PhmiR156/157 was expressed predominantly in cotyledons, germinating seeds, flower buds, young fruits and seedlings. PhmiR156/157 levels declined in shoot apical buds and leaves of petunia before flowering as the plant ages; moreover, the temporal expression patterns of most miR156/157-targeted PhSPLs were complementary to that of PhmiR156/157. Ectopic expression of PhMIR0157a in Arabidopsis and petunia resulted in delayed flowering, dwarf plant stature, increased branches and reduced organ size. However, PhMIR0156f-overexpressing Arabidopsis and petunia plants showed only delayed flowering. In addition, downregulation of PhmiR156/157 level by overexpressing STTM156/157 led to taller plants with less branches, longer internodes and precocious flowering. qRT-PCR analysis indicated that PhmiR156/157 modulates these traits mainly by downregulating their PhSPL targets and subsequently decreasing the expression of flowering regulatory genes. Our results demonstrate that the PhmiR156/157-PhSPL module has conserved but also divergent functions in growth and development, which will help us decipher the genetic basis for the improvement of flower transition, plant architecture and organ development in petunia., (© The Author(s) 2021. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2021
- Full Text
- View/download PDF
47. Two data pre-processing workflows to facilitate the discovery of biomarkers by 2D NMR metabolomics
- Author
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Feraud, Baptiste, Leenders, Justine, Martineau, Estelle, Giraudeau, Patrick, Govaerts, Bernadette, de Tullio, Pascal, and UCL - SSH/IMMAQ/ISBA - Institut de Statistique, Biostatistique et Sciences Actuarielles
- Subjects
1H-NMR ,2D NMR ,PLS ,sPLS ,Biomarker discovery ,Metabolomic Informative Content (MIC) ,Pre-prossessing workflows ,COSY spectra ,L-sOPLS - Published
- 2018
48. Chemometrics for the Direct Analysis of Solid Samples by Spectroscopic and Chromatographic Techniques
- Author
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Dora, Melucci, Cocchi, Marina, Francesca, Corvucci, Michela, Boi, Laura, Tositti, Francesco, de Laurentiis, Alessandro, Zappi, Clinio, Locatelli, and Marcello, Locatelli
- Subjects
ATR ,SPLS ,Elastic-net ,Chemometrics ,LASSO ,Py-GC-MS ,Raman - Published
- 2017
49. Dynamic re-configuration of software product lines towards an exploratory study on DSPLs
- Author
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Danillo Sprovieri and Université Paris 1 Panthéon-Sorbonne (UP1)
- Subjects
Run-Time Adaptation ,Computer science ,business.industry ,Emerging technologies ,Exploratory research ,Complex system ,02 engineering and technology ,Business process reengineering ,DSPLs ,Software ,020204 information systems ,SPLs ,Software construction ,0202 electrical engineering, electronic engineering, information engineering ,Domain engineering ,020201 artificial intelligence & image processing ,[INFO]Computer Science [cs] ,Software engineering ,business ,Continuous evolution - Abstract
International audience; Context: Adaptations need to be considered at design-time (adapting complex systems to new technologies, reengineering due to new regulations etc.), but also during run-time (e.g. new emerging functional and non-functional requirement, context-specific decisions). Objective: I use SPLs as a strategy for coping with uncertainty and adapting to change, where conventionally change occurs in the requirements of the software product lines' market. Our idea is to design a variability mechanism in the domain of dynamic software product lines engineering in order to enable continuous evolution and adaptation of the software product lines at run-time. Method: I investigate dynamic change propagation of SPLs at run-time through an explorative study. A literature review and semi-structured personal interviews with relevant actors in the domain of SPLs are the fundament of our research. This analysis enables us to understand how SPLs are dynamically adapted and evolved in practice. Conclusion: This study will give us an overview of the domain of DSPLs and allows us to identify the research gap regarding run-time adaptation and evolution of SPLs.
- Published
- 2016
- Full Text
- View/download PDF
50. Strigolactone represses the synthesis of melatonin, thereby inducing floral transition in Arabidopsis thaliana in an FLC‐dependent manner.
- Author
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Zhang, Zixin, Hu, Qian, Liu, Yanan, Cheng, Peilei, Cheng, Hua, Liu, Weixin, Xing, Xiaojuan, Guan, Zhiyong, Fang, Weimin, Chen, Sumei, Jiang, Jiafu, and Chen, Fadi
- Subjects
- *
CAFFEIC acid , *ARABIDOPSIS thaliana - Abstract
The transition from vegetative to reproductive growth is a key developmental event in a plant's life cycle. The process is mediated by a combination of phytohormones, including melatonin (MT) and strigolactone (SL). Here, the Arabidopsis mutants, d14‐1 and max4‐1, which are compromised with respect to either SL synthesis or signaling, were shown to flower earlier than wild types. The tissue MT content in both mutants was higher than in wild types, as a result of the up‐regulation of various genes encoding enzymes involved in MT synthesis. The abundance in the mutants of transcripts derived from each of the genes SPLs, AP1, and SOC1 was reduced with exogenously supplied MT, while FLC was induced. Plants exposed to a high concentration of MT did not flower earlier than wild types. The tissue MT content of a mutant unable to synthesize caffeic acid O‐methyltransferase was less than that of wild type and flowered earlier than did wild types. The suggestion is that the flowering time of Arabidopsis is altered if the tissue content of MT is either higher than ~ 8 ng/g F.W, or lower than ~ 0.9 ng/g. Within this range, SL acts to determine flowering time by its regulation of SPL genes. The application of exogenous SL reduces tissue MT content. The flowering time of the flc‐3 mutant was unaffected by exogenously supplying either MT or/and SL. It is proposed that MT acts downstream of SL to activate FLC, inducing a delay to flowering if its concentration lies outside a certain range. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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