cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6461558
title: MOESM2 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 2: Table S2. The effects of Rhizoma coptidis on MAPK pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461621
title: MOESM6 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 6: Table S6. The effects of Rhizoma coptidis on Oxidative Stress pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461537
title: MOESM1 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 1: Table S1. The effects of Rhizoma coptidis on NF-ÎşB pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.6461537.v1
title: MOESM1 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 1: Table S1. The effects of Rhizoma coptidis on NF-ÎşB pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.5281/zenodo.10651478
title: Dinámica ideológica en el ámbito local: gobiernos de coalición. Estudio de caso: Alicante, Castellón y Valencia
DOI: 10.5281/zenodo.10651479
title: Dinámica ideológica en el ámbito local: gobiernos de coalición. Estudio de caso: Alicante, Castellón y Valencia
DOI: 10.6084/m9.figshare.6461591
title: MOESM4 of Cellular stress response mechanisms of Rhizoma coptidis: a systematic review

description: Additional file 4: Table S4. The effects of Rhizoma coptidis on PI3K-Akt pathways (â indicates inhibition/reduction, â indicates increase).
DOI: 10.6084/m9.figshare.21666149.v1
title: Mantle magmatism, metamorphism and anatexis: evidence from geochemistry and zircon U–Pb-Hf isotopes of Paleoproterozoic S-type granites, Khondalite Belt of the North China Craton

description: S-type granites constitute an important component of the Paleoproterozoic Khondalite Belt in the North China Craton. Here we present results from petrography, geochemistry and isotope geochronology on the porphyritic garnet-bearing syenogranite and garnet-bearing monzogranite samples in the Jining-Liangcheng area. The geochemical characteristics of these samples indicate formation through partial anatexis of the khondalites, with heat and material input from mantle-derived magma. Geochemical similarities between the porphyritic garnet-bearing syenogranite, garnet-bearing monzogranite, and metapelitic gneiss suggest their broad affinity. Sensitive high-resolution ion microprobe zircon U–Pb dating revealed that the S-type granites formed at ca. 1.92–1.90 Ga and were subsequently metamorphosed at ca. 1.85 Ga. The ca. 1.92–1.91 Ga porphyritic garnet-bearing syenogranite shows zircon εHf(t) values of −1.94–+3.38 with two-stage Hf crustal model ages (T<sub>DM2</sub>) ages of ca. 2.42–2.59 Ga. The 1.91–1.90-Ga garnet-bearing monzogranites show zircon εHf(t) values ranging from −4.36 to +0.38, with T<sub>DM2</sub> ranging from ca. 2.57 to ca. 2.82 Ga. The geochemical isotopic compositions suggest that the porphyritic garnet-bearing syenogranite and garnet-bearing monzogranite originated from the partial melting of pre-existing crust of heterogeneous compositions with the addition of mantle-derived material. On the basis of our results, combined with geological data on the Paleoproterozoic structural evolution of the Khondalite Belt, we assume that the timing of the metamorphism and anatexis in the Jining–Liangcheng area is correlated with a regional metamorphism and mantle-derived magmatism.
DOI: 10.6084/m9.figshare.22714862.v2
title: Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity

description: High-dimensional linear models are commonly used in practice. In many applications, one is interested in linear transformations β⊤x of regression coefficients β∈Rp, where <i>x</i> is a specific point and is not required to be identically distributed as the training data. One common approach is the plug-in technique which first estimates β, then plugs the estimator in the linear transformation for prediction. Despite its popularity, estimation of β can be difficult for high-dimensional problems. Commonly used assumptions in the literature include that the signal of coefficients β is sparse and predictors are weakly correlated. These assumptions, however, may not be easily verified, and can be violated in practice. When β is non-sparse or predictors are strongly correlated, estimation of β can be very difficult. In this article, we propose a novel pointwise estimator for linear transformations of β. This new estimator greatly relaxes the common assumptions for high-dimensional problems, and is adaptive to the degree of sparsity of β and strength of correlations among the predictors. In particular, β can be sparse or nonsparse and predictors can be strongly or weakly correlated. The proposed method is simple for implementation. Numerical and theoretical results demonstrate the competitive advantages of the proposed method for a wide range of problems. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.22714862.v1
title: Estimation of Linear Functionals in High Dimensional Linear Models: From Sparsity to Non-sparsity

description: High dimensional linear models are commonly used in practice. In many applications, one is interested in linear transformations β⊤x of regression coefficients β∈Rp, where <i>x</i> is a specific point and is not required to be identically distributed as the training data. One common approach is the plug-in technique which first estimates β, then plugs the estimator in the linear transformation for prediction. Despite its popularity, estimation of β can be difficult for high dimensional problems. Commonly used assumptions in the literature include that the signal of coefficients β is sparse and predictors are weakly correlated. These assumptions, however, may not be easily verified, and can be violated in practice. When β is non-sparse or predictors are strongly correlated, estimation of β can be very difficult. In this paper, we propose a novel pointwise estimator for linear transformations of β. This new estimator greatly relaxes the common assumptions for high dimensional problems, and is adaptive to the degree of sparsity of β and strength of correlations among the predictors. In particular, β can be sparse or non-sparse and predictors can be strongly or weakly correlated. The proposed method is simple for implementation. Numerical and theoretical results demonstrate the competitive advantages of the proposed method for a wide range of problems.
DOI: 10.6084/m9.figshare.14850102
title: Supplemental Data for Rapid and Flexible Segmentation of Electron Microscopy Data Using Few-Shot Machine Learning

description: Scanning transmission electron microscopy images of three oxide material systems: epitaxial heterostructures, thin films, and nanoparticles. Included are the raw images, support sets, and query sets for few-shot learning methods in image segmentation.
DOI: 10.6084/m9.figshare.19728739.v1
title: Additional file 3 of LncRNA-PACERR induces pro-tumour macrophages via interacting with miR-671-3p and m6A-reader IGF2BP2 in pancreatic ductal adenocarcinoma

description: Additional file 3.  Sequences targeting related genes.
DOI: 10.6084/m9.figshare.22714978.v1
title: lncNALT knockdown ameliorates hypertensive retinopathy via PTEN/PI3K/AKT pathway

description: This study aimed to explore the role of the long non-coding RNA NOTCH1-associated lncRNA in T cell acute lymphoblastic leukemia (lncNALT) in the pathogenesis of hypertensive retinopathy (HR). LncNALT expression levels were determined using reverse transcription-quantitative polymerase chain reaction. The effects of lncNALT knockdown on the viability, proliferation, migration, and invasion of human retinal microvascular endothelial cells (RMECs) were determined via 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide, 5-ethynyl-2’-deoxyuridine staining, and Transwell assays. Protein expression levels were determined using western blotting. We found that lncNALT expression levels were increased in RMECs treated with hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), while the knockdown of lncNALT rescued the viability, proliferation, migration, and invasion of RMECs treated with H<sub>2</sub>O<sub>2</sub>. Moreover, lncNALT interacted with ELAV like RNA binding protein 1 to affect the phosphatase and tensin homolog (PTEN) expression. Knockdown of lncNALT enhanced the viability, proliferation, migration, and invasion of RMECs via the PTEN/phosphoinositide 3-kinase (PI3K)/serine-threonine kinase (AKT) pathway. Taken together, knockdown of lncNALT enhanced the viability, proliferation, migration, and invasion of RMECs via the PTEN/PI3K/AKT pathway, suggesting that lncNALT could be a potential therapeutic target for patients with HR. lncNALT interacts with HuR to increase the stability and expression levels of the PTENlncNALT regulates HR via the PTEN/PI3K/AKT pathwaylncNALT may be a potential diagnostic biomarker for HR lncNALT interacts with HuR to increase the stability and expression levels of the PTEN lncNALT regulates HR via the PTEN/PI3K/AKT pathway lncNALT may be a potential diagnostic biomarker for HR
DOI: 10.6084/m9.figshare.12228659
title: Coronavirus disease 2019 (COVID-19) and pregnancy: a systematic review

description: To summarize currently available evidence on maternal, fetal, and neonatal outcomes of pregnant women infected with Coronavirus Disease 2019 (COVID-19). PubMed, Google Scholar, CNKI, Wanfang Data, VIP, and CBMdisc were searched for studies reporting maternal, fetal, and neonatal outcomes of women infected with COVID-19 published from 1 January 2020 to 26 March 2020. The protocol was registered with the Open Science Framework (DOI: 10.17605/OSF.IO/34ZAV). In total, 18 studies comprising 114 pregnant women were included in the review. Fever (87.5%) and cough (53.8%) were the most commonly reported symptoms, followed by fatigue (22.5%), diarrhea (8.8%), dyspnea (11.3%), sore throat (7.5%), and myalgia (16.3%). The majority of patients (91%) had cesarean delivery due to various indications. In terms of fetal and neonatal outcomes, stillbirth (1.2%), neonatal death (1.2%), preterm birth (21.3%), low birth weight (&lt;2500 g, 5.3%), fetal distress (10.7%), and neonatal asphyxia (1.2%) were reported. There are reports of neonatal infection, but no direct evidence of intrauterine vertical transmission has been found. The clinical characteristics of pregnant women with COVID-19 are similar to those of non-pregnant adults. Fetal and neonatal outcomes appear good in most cases, but available data only include pregnant women infected in their third trimesters. Further studies are needed to ascertain long-term outcomes and potential intrauterine vertical transmission.
DOI: 10.6084/m9.figshare.12228659.v1
title: Coronavirus disease 2019 (COVID-19) and pregnancy: a systematic review

description: To summarize currently available evidence on maternal, fetal, and neonatal outcomes of pregnant women infected with Coronavirus Disease 2019 (COVID-19). PubMed, Google Scholar, CNKI, Wanfang Data, VIP, and CBMdisc were searched for studies reporting maternal, fetal, and neonatal outcomes of women infected with COVID-19 published from 1 January 2020 to 26 March 2020. The protocol was registered with the Open Science Framework (DOI: 10.17605/OSF.IO/34ZAV). In total, 18 studies comprising 114 pregnant women were included in the review. Fever (87.5%) and cough (53.8%) were the most commonly reported symptoms, followed by fatigue (22.5%), diarrhea (8.8%), dyspnea (11.3%), sore throat (7.5%), and myalgia (16.3%). The majority of patients (91%) had cesarean delivery due to various indications. In terms of fetal and neonatal outcomes, stillbirth (1.2%), neonatal death (1.2%), preterm birth (21.3%), low birth weight (&lt;2500 g, 5.3%), fetal distress (10.7%), and neonatal asphyxia (1.2%) were reported. There are reports of neonatal infection, but no direct evidence of intrauterine vertical transmission has been found. The clinical characteristics of pregnant women with COVID-19 are similar to those of non-pregnant adults. Fetal and neonatal outcomes appear good in most cases, but available data only include pregnant women infected in their third trimesters. Further studies are needed to ascertain long-term outcomes and potential intrauterine vertical transmission.
DOI: 10.6084/m9.figshare.22714862
title: Estimation of Linear Functionals in High-Dimensional Linear Models: From Sparsity to Nonsparsity

description: High-dimensional linear models are commonly used in practice. In many applications, one is interested in linear transformations β⊤x of regression coefficients β∈Rp, where <i>x</i> is a specific point and is not required to be identically distributed as the training data. One common approach is the plug-in technique which first estimates β, then plugs the estimator in the linear transformation for prediction. Despite its popularity, estimation of β can be difficult for high-dimensional problems. Commonly used assumptions in the literature include that the signal of coefficients β is sparse and predictors are weakly correlated. These assumptions, however, may not be easily verified, and can be violated in practice. When β is non-sparse or predictors are strongly correlated, estimation of β can be very difficult. In this article, we propose a novel pointwise estimator for linear transformations of β. This new estimator greatly relaxes the common assumptions for high-dimensional problems, and is adaptive to the degree of sparsity of β and strength of correlations among the predictors. In particular, β can be sparse or nonsparse and predictors can be strongly or weakly correlated. The proposed method is simple for implementation. Numerical and theoretical results demonstrate the competitive advantages of the proposed method for a wide range of problems. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.6462152
title: List of differentially regulated genes. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information of up-regulated and down-regulated genes identified from the transcriptome data of the control group and the treatment group.
DOI: 10.6084/m9.figshare.6462152.v1
title: List of differentially regulated genes. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information of up-regulated and down-regulated genes identified from the transcriptome data of the control group and the treatment group.
DOI: 10.6084/m9.figshare.6462161
title: Zhu_ tables _ESM 7.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462161.v1
title: Zhu_ tables _ESM 7.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462155.v1
title: Zhu_ tables _ESM 6.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462164
title: Zhu_ tables _ESM 9.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462167.v1
title: Zhu_ tables _ESM 8.xlsx from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the mechanism of grape response to waterlogging is necessary, for which the analysis of the regulation networks' response to waterlogging stress in grapevine leaves at the transcriptomic level was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
DOI: 10.6084/m9.figshare.6462146.v1
title: Detail information of differential expressed genes related to chlorophyll metabolic and photosynthesis of grapevine under waterlogging stress. from Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

description: The expression information and functional annotation of differentially regulated genes related to anaerobic fermentation and glycolysis.