cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/h2uy82
title: Xylodon nespori (Bres.) Hjorstam Ryvarden, 4008

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19746257
title: Circular RNA circRNA-0039459 promotes the migration, invasion, and proliferation of liver cancer cells through the adsorption of miR-432

description: This study aimed to investigate the molecular mechanism of circular RNA circ-0039459 and its effects on the apoptosis, proliferation, invasion, and migration of hepatocellular carcinoma cells. The expression of circ-0039459, miR-432, and synoviolin 1 (SYVN1) mRNA was determined using real-time quantitative reverse transcription PCR. Cell proliferation was detected by cell counting kit-8 assay, and the apoptosis rate was detected using flow cytometry. Cell migration and invasion were detected using Transwell assay. The expression of E-cadherin, N-cadherin, and vimentin was detected using western blot. The targeting relationship between circ-0039459 and miR-432 as well as that between miR-432 and SYVN1 were detected using the dual-luciferase reporter and RNA pull-down assays. We found that circ-0039459 and SYVN1 mRNA were highly expressed, whereas miR-432 was lowly expressed in hepatocellular carcinoma cells and tissues. After treatment with ribonuclease R or actinomycin D, the expression of linear RNA was reduced, whereas that of circular RNA was not significantly changed. circ-0039459 knockdown or miR-432 overexpression can inhibit cell proliferation, invasion, and migration and the expression of N-cadherin and vimentin proteins in carcinoma cells as well as promote apoptosis and increase the E-cadherin level. circ-0039459 targeted and regulated miR-432, which targeted and regulated SYVN1. The decreased miR-432 expression reversed the effects of circ-0039459 knockout in cancer cells. Furthermore, SYVN1 overexpression reversed the effect of miR-432 overexpression in hepatoma cells. Hence, circ-0039459 can affect the proliferation, apoptosis, migration, and invasion of hepatocellular carcinoma cells through the adsorption of miR-432, thereby regulating the expression of SYVN1.
DOI: 10.6084/m9.figshare.19746257.v1
title: Circular RNA circRNA-0039459 promotes the migration, invasion, and proliferation of liver cancer cells through the adsorption of miR-432

description: This study aimed to investigate the molecular mechanism of circular RNA circ-0039459 and its effects on the apoptosis, proliferation, invasion, and migration of hepatocellular carcinoma cells. The expression of circ-0039459, miR-432, and synoviolin 1 (SYVN1) mRNA was determined using real-time quantitative reverse transcription PCR. Cell proliferation was detected by cell counting kit-8 assay, and the apoptosis rate was detected using flow cytometry. Cell migration and invasion were detected using Transwell assay. The expression of E-cadherin, N-cadherin, and vimentin was detected using western blot. The targeting relationship between circ-0039459 and miR-432 as well as that between miR-432 and SYVN1 were detected using the dual-luciferase reporter and RNA pull-down assays. We found that circ-0039459 and SYVN1 mRNA were highly expressed, whereas miR-432 was lowly expressed in hepatocellular carcinoma cells and tissues. After treatment with ribonuclease R or actinomycin D, the expression of linear RNA was reduced, whereas that of circular RNA was not significantly changed. circ-0039459 knockdown or miR-432 overexpression can inhibit cell proliferation, invasion, and migration and the expression of N-cadherin and vimentin proteins in carcinoma cells as well as promote apoptosis and increase the E-cadherin level. circ-0039459 targeted and regulated miR-432, which targeted and regulated SYVN1. The decreased miR-432 expression reversed the effects of circ-0039459 knockout in cancer cells. Furthermore, SYVN1 overexpression reversed the effect of miR-432 overexpression in hepatoma cells. Hence, circ-0039459 can affect the proliferation, apoptosis, migration, and invasion of hepatocellular carcinoma cells through the adsorption of miR-432, thereby regulating the expression of SYVN1.
DOI: 10.17894/ucph.03073ad0-5a36-4961-a5b1-09c919f253ab
title: High nitrogen-fixing rates associated with ground-covering mosses in a tropical mountain cloud forest will decrease drastically in a future climate
DOI: 10.5281/zenodo.6537384
title: Harmonized cancer and normal datasets, as well as the dataset for the BT474 cell line samples

description: Harmonized cancer and normal datasets, as well as the dataset for the BT474 cell line samples
DOI: 10.6084/m9.figshare.12213599
title: Confidence intervals based on L-moments for quantiles of the GP and GEV distributions with application to market-opening asset prices data

description: In a ground-breaking paper published in 1990 by the <i>Journal of the Royal Statistical Society</i>, J.R.M. Hosking defined the L-moment of a random variable as an expectation of certain linear combinations of order statistics. L-moments are an alternative to conventional moments and recently they have been used often in inferential statistics. L-moments have several advantages over the conventional moments, including robustness to the the presence of outliers, which may lead to more accurate estimates in some cases as the characteristics of distributions. In this contribution, asymptotic theory and L-moments are used to derive confidence intervals of the population parameters and quantiles of the three-parametric generalized Pareto and extreme-value distributions. Computer simulations are performed to determine the performance of confidence intervals for the population quantiles based on L-moments and to compare them to those obtained by traditional estimation techniques. The results obtained show that they perform well in comparison to the moments and maximum likelihood methods when the interest is in higher quantiles, or even best. L-moments are especially recommended when the tail of the distribution is rather heavier and the sample size is small. The derived intervals are applied to real economic data, and specifically to market-opening asset prices.
DOI: 10.6084/m9.figshare.12213599.v1
title: Confidence intervals based on L-moments for quantiles of the GP and GEV distributions with application to market-opening asset prices data

description: In a ground-breaking paper published in 1990 by the <i>Journal of the Royal Statistical Society</i>, J.R.M. Hosking defined the L-moment of a random variable as an expectation of certain linear combinations of order statistics. L-moments are an alternative to conventional moments and recently they have been used often in inferential statistics. L-moments have several advantages over the conventional moments, including robustness to the the presence of outliers, which may lead to more accurate estimates in some cases as the characteristics of distributions. In this contribution, asymptotic theory and L-moments are used to derive confidence intervals of the population parameters and quantiles of the three-parametric generalized Pareto and extreme-value distributions. Computer simulations are performed to determine the performance of confidence intervals for the population quantiles based on L-moments and to compare them to those obtained by traditional estimation techniques. The results obtained show that they perform well in comparison to the moments and maximum likelihood methods when the interest is in higher quantiles, or even best. L-moments are especially recommended when the tail of the distribution is rather heavier and the sample size is small. The derived intervals are applied to real economic data, and specifically to market-opening asset prices.
DOI: 10.6084/m9.figshare.14158946
title: Tail conditional moment for generalized skew-elliptical distributions

description: Substantial changes in the financial markets and insurance companies have needed the development of the structure of the risk benchmark, which is the challenge addressed in this paper. We propose a theorem that expands the tail conditional moment (TCM) measure from elliptical distributions to wider classes of skew-elliptical distributions. This family of distributions is suitable for modeling asymmetric phenomena. We obtain the analytical formula for the nth TCM for skew-elliptical distributions to help well to figure out the risk behavior along the tail of loss distributions. We derive four significant results and generalize the tail conditional skewness (TCS) and the tail conditional kurtosis (TCK) measures for generalized skew-elliptical distributions, which are used to determine the skewness and the kurtosis in the tail of loss distributions. The proposed TCM measure has been applied to well-known families of generalized skew-elliptical distributions. We also provide a practical example of a portfolio problem by calculating the proposed TCM measure for the weighted sum of generalized skew-elliptical distributions.
DOI: 10.6084/m9.figshare.14158946.v1
title: Tail conditional moment for generalized skew-elliptical distributions

description: Substantial changes in the financial markets and insurance companies have needed the development of the structure of the risk benchmark, which is the challenge addressed in this paper. We propose a theorem that expands the tail conditional moment (TCM) measure from elliptical distributions to wider classes of skew-elliptical distributions. This family of distributions is suitable for modeling asymmetric phenomena. We obtain the analytical formula for the nth TCM for skew-elliptical distributions to help well to figure out the risk behavior along the tail of loss distributions. We derive four significant results and generalize the tail conditional skewness (TCS) and the tail conditional kurtosis (TCK) measures for generalized skew-elliptical distributions, which are used to determine the skewness and the kurtosis in the tail of loss distributions. The proposed TCM measure has been applied to well-known families of generalized skew-elliptical distributions. We also provide a practical example of a portfolio problem by calculating the proposed TCM measure for the weighted sum of generalized skew-elliptical distributions.
DOI: 10.6084/m9.figshare.12848153
title: A new robust ridge parameter estimator based on search method for linear regression model

description: A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. However, so far there is no ridge parameter estimator that can serve best for any sample size or any degree of collinearity among regressors. In this study we propose a new robust ridge parameter estimator that serves best for any case assuring that is free of sample size, number of regressors and degree of collinearity. This is in fact realized by choosing three best from enormous number of ridge parameter estimators performing well in different cases in developing the new ridge parameter estimator in a way of search method providing the smallest mean square error values of regression parameters. After that a simulation study is conducted to show that the proposed parameter is robust. In conclusion, it is found that this ridge parameter estimator is promising in any case. Moreover, a recent data set is used as an example for illustration to show that the proposed ridge parameter estimator is performing better.
DOI: 10.6084/m9.figshare.12848153.v1
title: A new robust ridge parameter estimator based on search method for linear regression model

description: A large and wide variety of ridge parameter estimators proposed for linear regression models exist in the literature. Actually proposing new ridge parameter estimator lately proving its efficiency on few cases seems endless. However, so far there is no ridge parameter estimator that can serve best for any sample size or any degree of collinearity among regressors. In this study we propose a new robust ridge parameter estimator that serves best for any case assuring that is free of sample size, number of regressors and degree of collinearity. This is in fact realized by choosing three best from enormous number of ridge parameter estimators performing well in different cases in developing the new ridge parameter estimator in a way of search method providing the smallest mean square error values of regression parameters. After that a simulation study is conducted to show that the proposed parameter is robust. In conclusion, it is found that this ridge parameter estimator is promising in any case. Moreover, a recent data set is used as an example for illustration to show that the proposed ridge parameter estimator is performing better.
DOI: 10.48370/ofd/ihlo0c
title: Xylodon brevisetus (P.Karst.) Hjorstam Ryvarden, 4014

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19746253
title: Alu methylation in fibroblasts from different ages data.xlsx

description: Alu methylation level measured in primary dermal fibroblasts obtained from Thai patients of different ages by surgical procedures
DOI: 10.6084/m9.figshare.19746253.v2
title: Alu methylation in fibroblasts from different ages data.xlsx

description: Alu methylation level measured in primary dermal fibroblasts obtained from Thai patients of different ages by surgical procedures
DOI: 10.6084/m9.figshare.19746253.v1
title: Alu methylation in fibroblasts from different ages data.xlsx

description: Alu methylation level measured in primary dermal fibroblasts obtained from Thai patients of different ages by surgical procedures
DOI: 10.6084/m9.figshare.19746190
title: cattle_data.map

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents.<br> Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.6084/m9.figshare.19746190.v2
title: cattle_data.map

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents.<br> Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.6084/m9.figshare.19746190.v1
title: cattle_data.map

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents.<br> Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.6084/m9.figshare.19746193
title: cattle_data.ped

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents. Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.48370/ofd/awul8c
title: Xylodon asperus (Fr.) Hjortstam Ryvarden, 4026

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.19746193.v2
title: cattle_data.ped

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents. Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.6084/m9.figshare.19746307
title: Supplementary Material for: Infrequent Intranasal Oxytocin Followed by Positive Social Interaction Improves Symptoms in Autistic Children: A Pilot Randomized Clinical Trial

description: <b><i>Introduction:</i></b> There are currently no approved drug interventions for social behavior dysfunction in autism spectrum disorder (ASD). Previous trials investigating effects of daily intranasal oxytocin treatment have reported inconsistent results and have not combined it with positive social interaction. However, in two preclinical studies we established that treatment every other day rather than daily is more efficacious in maintaining neural and behavioral effects by reducing receptor desensitization. <b><i>Objective:</i></b> We aimed to establish whether a 6-week intranasal oxytocin compared with placebo treatment, followed by a period of positive social interaction, would produce reliable symptom improvements in children with ASD. <b><i>Methods:</i></b> A pilot double-blind, randomized, crossover design trial was completed including 41 children with ASD aged 3–8 years. Primary outcomes were the Autism Diagnostic Observation Schedule-2 (ADOS-2) and social responsivity scale-2 (SRS-2). Secondary measures included cognitive, autism- and caregiver-related questionnaires, and social attention assessed using eye-tracking. <b><i>Results:</i></b> Significant improvements were found for oxytocin relative to placebo in primary outcome measures (total ADOS-2 and SRS-2 scores, <i>p</i>s &lt; 0.001) and in behavioral adaptability and repetitive behavior secondary measures. Altered SRS-2 scores were associated with increased saliva oxytocin concentrations. Additionally, oxytocin significantly increased time spent viewing dynamic social compared to geometric stimuli and the eyes of angry, happy, and neutral expression faces. There were no adverse side effects of oxytocin treatment. <b><i>Conclusions:</i></b> Overall, results demonstrate that a 6-week intranasal oxytocin treatment administered every other day and followed by positive social interactions can improve clinical, eye tracking, and questionnaire-based assessments of symptoms in young autistic children.
DOI: 10.6084/m9.figshare.19746307.v1
title: Supplementary Material for: Infrequent Intranasal Oxytocin Followed by Positive Social Interaction Improves Symptoms in Autistic Children: A Pilot Randomized Clinical Trial

description: <b><i>Introduction:</i></b> There are currently no approved drug interventions for social behavior dysfunction in autism spectrum disorder (ASD). Previous trials investigating effects of daily intranasal oxytocin treatment have reported inconsistent results and have not combined it with positive social interaction. However, in two preclinical studies we established that treatment every other day rather than daily is more efficacious in maintaining neural and behavioral effects by reducing receptor desensitization. <b><i>Objective:</i></b> We aimed to establish whether a 6-week intranasal oxytocin compared with placebo treatment, followed by a period of positive social interaction, would produce reliable symptom improvements in children with ASD. <b><i>Methods:</i></b> A pilot double-blind, randomized, crossover design trial was completed including 41 children with ASD aged 3–8 years. Primary outcomes were the Autism Diagnostic Observation Schedule-2 (ADOS-2) and social responsivity scale-2 (SRS-2). Secondary measures included cognitive, autism- and caregiver-related questionnaires, and social attention assessed using eye-tracking. <b><i>Results:</i></b> Significant improvements were found for oxytocin relative to placebo in primary outcome measures (total ADOS-2 and SRS-2 scores, <i>p</i>s &lt; 0.001) and in behavioral adaptability and repetitive behavior secondary measures. Altered SRS-2 scores were associated with increased saliva oxytocin concentrations. Additionally, oxytocin significantly increased time spent viewing dynamic social compared to geometric stimuli and the eyes of angry, happy, and neutral expression faces. There were no adverse side effects of oxytocin treatment. <b><i>Conclusions:</i></b> Overall, results demonstrate that a 6-week intranasal oxytocin treatment administered every other day and followed by positive social interactions can improve clinical, eye tracking, and questionnaire-based assessments of symptoms in young autistic children.
DOI: 10.6084/m9.figshare.19746193.v1
title: cattle_data.ped

description: The SNP array data (ped) of 13 GRL affected animals and 24 putative non-carrier parents. Article: A novel missense mutation in endothelin-2 (EDN2) causes a growth and respiratory lethal syndrome in bovine
DOI: 10.25824/redu/vlgivt
title: Capes_Doutorado.xlsx
DOI: 10.25824/redu/3kqvnu
title: ISI WoS.xlsx
DOI: 10.25824/redu/qty73s
title: Capes_Mestrado.xlsx
DOI: 10.25824/redu/nmoffy
title: SciELO.xlsx
DOI: 10.25824/redu/jy6omk
title: Dimensões da privatização da educação básica no Brasil a partir de 1990

description: Levantamento da produção bibliográfica na bases Web of Science, SciELO Brasil e Catálogo de Teses e Dissertações da Capes utilizada na Tese de Livre-Docência "Dimensões da privatização da educação básica no Brasil a partir de 1990: um diálogo com a produção acadêmica". Descritores: financiamento; escolha parental; subsídio; parceria público privada; parceria público privado; gestão privada; privatização; cooperativa; cogestão; charter; choice; financing; public-private partnership; co-management; aid; subvention; cooperative; privatization. Período: 1990 a 2014.
DOI: 10.48370/ofd/6nsxs2
title: Xylodon spathulatus (Schrad.) Kuntze, 4059

description: Fungarium Macromycetes
DOI: 10.34740/kaggle/dsv/3614137
title: Non-segmented
DOI: 10.48370/ofd/uodx6l
title: Xylodon spathulatus (Schrad.) Kuntze, 4064

description: Fungarium Macromycetes
DOI: 10.6084/m9.figshare.12296036
title: Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance

description: In prediction problems both response and covariates may have high correlation with a second group of influential regressors, that can be considered as background variables. An important challenge is to perform variable selection and importance assessment among the covariates in the presence of these variables. A clinical example is the prediction of the lean body mass (response) from bioimpedance (covariates), where anthropometric measures play the role of background variables. We introduce a reduced dataset in which the variables are defined as the residuals with respect to the background, and perform variable selection and importance assessment both in linear and random forest models. Using a clinical dataset of multi-frequency bioimpedance, we show the effectiveness of this method to select the most relevant predictors of the lean body mass beyond anthropometry.
DOI: 10.6084/m9.figshare.12296036.v1
title: Variable selection and importance in presence of high collinearity: an application to the prediction of lean body mass from multi-frequency bioelectrical impedance

description: In prediction problems both response and covariates may have high correlation with a second group of influential regressors, that can be considered as background variables. An important challenge is to perform variable selection and importance assessment among the covariates in the presence of these variables. A clinical example is the prediction of the lean body mass (response) from bioimpedance (covariates), where anthropometric measures play the role of background variables. We introduce a reduced dataset in which the variables are defined as the residuals with respect to the background, and perform variable selection and importance assessment both in linear and random forest models. Using a clinical dataset of multi-frequency bioimpedance, we show the effectiveness of this method to select the most relevant predictors of the lean body mass beyond anthropometry.
DOI: 10.25824/redu/vy25em
title: SA1-supMaterial_Updated_Material_URL.pdf

description: Updated material is hosted at LaBIS Official Website.
DOI: 10.5281/zenodo.6538807
title: Potential Vegetation of Ethiopia

description: These are the results (defuzzified) of modeling potential dispersal of plant associations across Ethiopia based on a fuzzy model using temperature and precipitation. IG: Last Interglacial<br> LGM: Last Glacial Maximum<br> REC: Recent conditions
DOI: 10.5281/zenodo.6538806
title: Potential Vegetation of Ethiopia

description: These are the results (defuzzified) of modeling potential dispersal of plant associations across Ethiopia based on a fuzzy model using temperature and precipitation. IG: Last Interglacial<br> LGM: Last Glacial Maximum<br> REC: Recent conditions
DOI: 10.48370/ofd/qg4onm
title: Xylodon spathulatus (Schrad.) Kuntze, 4077

description: Fungarium Macromycetes