cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7051589
title: Trichodesmium NATL AHL experiment OG counts and annotations

description: Table of gene expression data from a study published by Frischkorn et al., 2018 in Limnology & Oceanography Letters entitled The Trichodesmium Microbiome Can Modulate Host N2 Fixation. <br>Metatranscriptome reads from Trichodesmium colony AHL amendment experiments were mapped to microbiome metagenomic genome bins and counts were summed across orthologous group gene families (OGs). See Frischkorn et al., 2017, ISME J (http://dx.doi.org/10.1038/ismej.2017.74) for more info. on metagenome analysis. Annotations for each OG were carried out against the UniRef database.
DOI: 10.6084/m9.figshare.7051589.v2
title: Trichodesmium NATL AHL experiment OG counts and annotations

description: Table of gene expression data from a study published by Frischkorn et al., 2018 in Limnology & Oceanography Letters entitled The Trichodesmium Microbiome Can Modulate Host N2 Fixation. <br>Metatranscriptome reads from Trichodesmium colony AHL amendment experiments were mapped to microbiome metagenomic genome bins and counts were summed across orthologous group gene families (OGs). See Frischkorn et al., 2017, ISME J (http://dx.doi.org/10.1038/ismej.2017.74) for more info. on metagenome analysis. Annotations for each OG were carried out against the UniRef database.
DOI: 10.6084/m9.figshare.7051589.v1
title: Trichodesmium NATL AHL experiment OG counts and annotations

description: Table of gene expression data from a study published by Frischkorn et al., 2018 in Limnology & Oceanography Letters entitled The Trichodesmium Microbiome Can Modulate Host N2 Fixation. <br>Metatranscriptome reads from Trichodesmium colony AHL amendment experiments were mapped to microbiome metagenomic genome bins and counts were summed across orthologous group gene families (OGs). See Frischkorn et al., 2017, ISME J (http://dx.doi.org/10.1038/ismej.2017.74) for more info. on metagenome analysis. Annotations for each OG were carried out against the UniRef database.
DOI: 10.6084/m9.figshare.7050458
title: A Hierarchical Model for Heterogenous Reliability Field Data

description: When analyzing field data on consumer products, model-based approaches to inference require a model with sufficient flexibility to account for multiple kinds of failures. The causes of failure, while not interesting to the consumer per se, can lead to various observed lifetime distributions. Because of this, standard lifetime models, such as using a single Weibull or lognormal distribution, may be inadequate. Usually cause-of-failure information will not be available to the consumer and thus traditional competing risk analyses cannot be performed. Furthermore, when the information carried by lifetime data are limited by sample size, censoring, and truncation, estimates can be unstable and suffer from imprecision. These limitations are typical, for example, lifetime data for high-reliability products will naturally tend to be right-censored. In this article, we present a method for joint estimation of multiple lifetime distributions based on the generalized limited failure population (GLFP) model. This five-parameter model for lifetime data accommodates lifetime distributions with multiple failure modes: early failures (sometimes referred to in the literature as “infant mortality”) and failures due to wearout. We fit the GLFP model to a heterogenous population of devices using a hierarchical modeling approach. Borrowing strength across subpopulations, our method enables estimation with uncertainty of lifetime distributions even in cases where the number of model parameters is larger than the number of observed failures. Moreover, using this Bayesian method, comparison of different product brands across the heterogenous population is straightforward because estimation of arbitrary functionals is easy using draws from the joint posterior distribution of the model parameters. Potential applications include assessment and comparison of reliability to inform purchasing decisions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7050458.v2
title: A Hierarchical Model for Heterogenous Reliability Field Data

description: When analyzing field data on consumer products, model-based approaches to inference require a model with sufficient flexibility to account for multiple kinds of failures. The causes of failure, while not interesting to the consumer per se, can lead to various observed lifetime distributions. Because of this, standard lifetime models, such as using a single Weibull or lognormal distribution, may be inadequate. Usually cause-of-failure information will not be available to the consumer and thus traditional competing risk analyses cannot be performed. Furthermore, when the information carried by lifetime data are limited by sample size, censoring, and truncation, estimates can be unstable and suffer from imprecision. These limitations are typical, for example, lifetime data for high-reliability products will naturally tend to be right-censored. In this article, we present a method for joint estimation of multiple lifetime distributions based on the generalized limited failure population (GLFP) model. This five-parameter model for lifetime data accommodates lifetime distributions with multiple failure modes: early failures (sometimes referred to in the literature as “infant mortality”) and failures due to wearout. We fit the GLFP model to a heterogenous population of devices using a hierarchical modeling approach. Borrowing strength across subpopulations, our method enables estimation with uncertainty of lifetime distributions even in cases where the number of model parameters is larger than the number of observed failures. Moreover, using this Bayesian method, comparison of different product brands across the heterogenous population is straightforward because estimation of arbitrary functionals is easy using draws from the joint posterior distribution of the model parameters. Potential applications include assessment and comparison of reliability to inform purchasing decisions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7050458.v1
title: A Hierarchical Model for Heterogenous Reliability Field Data

description: When analyzing field data on consumer products, model-based approaches to inference require a model with sufficient flexibility to account for multiple kinds of failures. The causes of failure, while not interesting to the consumer per se, can lead to various observed lifetime distributions. Because of this, standard lifetime models, such as using a single Weibull or lognormal distribution, may be inadequate. Usually cause-of-failure information will not be available to the consumer and thus traditional competing risk analyses cannot be performed. Furthermore, when the information carried by lifetime data are limited by sample size, censoring, and truncation, estimates can be unstable and suffer from imprecision. These limitations are typical, for example, lifetime data for high-reliability products will naturally tend to be right-censored. In this article, we present a method for joint estimation of multiple lifetime distributions based on the generalized limited failure population (GLFP) model. This five-parameter model for lifetime data accommodates lifetime distributions with multiple failure modes: early failures (sometimes referred to in the literature as “infant mortality”) and failures due to wearout. We fit the GLFP model to a heterogenous population of devices using a hierarchical modeling approach. Borrowing strength across subpopulations, our method enables estimation with uncertainty of lifetime distributions even in cases where the number of model parameters is larger than the number of observed failures. Moreover, using this Bayesian method, comparison of different product brands across the heterogenous population is straightforward because estimation of arbitrary functionals is easy using draws from the joint posterior distribution of the model parameters. Potential applications include assessment and comparison of reliability to inform purchasing decisions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.7050416
title: Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for <i>Adaptive-Impute</i>

description: Over the past decade, various matrix completion algorithms have been developed. Thresholded singular value decomposition (SVD) is a popular technique in implementing many of them. A sizable number of studies have shown its theoretical and empirical excellence, but choosing the right threshold level still remains as a key empirical difficulty. This article proposes a novel matrix completion algorithm which iterates thresholded SVD with theoretically justified and data-dependent values of thresholding parameters. The estimate of the proposed algorithm enjoys the minimax error rate and shows outstanding empirical performances. The thresholding scheme that we use can be viewed as a solution to a nonconvex optimization problem, understanding of whose theoretical convergence guarantee is known to be limited. We investigate this problem by introducing a simpler algorithm, generalized- <i>softImpute</i>, analyzing its convergence behavior, and connecting it to the proposed algorithm.
DOI: 10.6084/m9.figshare.7050416.v1
title: Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for <i>Adaptive-Impute</i>

description: Over the past decade, various matrix completion algorithms have been developed. Thresholded singular value decomposition (SVD) is a popular technique in implementing many of them. A sizable number of studies have shown its theoretical and empirical excellence, but choosing the right threshold level still remains as a key empirical difficulty. This article proposes a novel matrix completion algorithm which iterates thresholded SVD with theoretically justified and data-dependent values of thresholding parameters. The estimate of the proposed algorithm enjoys the minimax error rate and shows outstanding empirical performances. The thresholding scheme that we use can be viewed as a solution to a nonconvex optimization problem, understanding of whose theoretical convergence guarantee is known to be limited. We investigate this problem by introducing a simpler algorithm, generalized- <i>softImpute</i>, analyzing its convergence behavior, and connecting it to the proposed algorithm.
DOI: 10.6084/m9.figshare.7049270.v2
title: The Impact of Corporate Governance upon the Performance Level of Jordanian Public Joint Stock Industrial Companies through Using the Balanced Scorecard (BSC)

description: The study aimed to identify the impact of corporate governance upon the performance level of Jordanian public joint stock industrial companies through using the balanced scorecard. The population of the current study consists of financial managers who were working in Jordanian public joint stock industrial companies. The number of those companies is sixty six (66) companies. The researcher of the current study proposed several recommendations. The researcher found the number of results 1. There is a statistically significant impact for having an effective framework for corporate governance upon the performance level of Jordanian public joint stock companies that are listed on the Amman Stock Exchange through using the balanced scorecard (BSC) 2. There is a statistically significant impact for equity and the main functions of the owners of property rights on the performance level of Jordanian public joint stock companies that are listed on the Amman Stock Exchange through using the balanced scorecard (BSC) These recommendations are represented in the following ones 1) The researcher recommended having an effective framework for implementing corporate governance due to the major impact it has upon companies’ performance level 2) The researcher recommended increasing the transparency level of the disclosed financial statements of the company.
DOI: 10.6084/m9.figshare.7049249
title: Cooperation data file for ProcB from Bottlenose dolphins can understand their partner's role in a cooperative task

description: Behavioural data for both dyads and all four trial phases
DOI: 10.6084/m9.figshare.7049249.v1
title: Cooperation data file for ProcB from Bottlenose dolphins can understand their partner's role in a cooperative task

description: Behavioural data for both dyads and all four trial phases
DOI: 10.6084/m9.figshare.7048727
title: Supplementary Files, Isodictya sp transcriptomics

description: Supplementary data accompanying the paper "Warm Temperatures, Cool Sponges: The Effect of Increased Temperatures on the Antarctic Sponge <i>Isodictya</i> sp." by M. González-Aravena, N.J. Kenny, M. Osorio, A. Font, A. Riesgo, C.A. Cárdenas
DOI: 10.6084/m9.figshare.7048727.v1
title: Supplementary Files, Isodictya sp transcriptomics

description: Supplementary data accompanying the paper "Warm Temperatures, Cool Sponges: The Effect of Increased Temperatures on the Antarctic Sponge <i>Isodictya</i> sp." by M. González-Aravena, N.J. Kenny, M. Osorio, A. Font, A. Riesgo, C.A. Cárdenas
DOI: 10.6084/m9.figshare.7048487

description: Groups are the most fundamental and rich algebraic structure with respect to some binary operation in the study of algebra. In this paper, for the first time, we introduced the notion of neutrosophic triplet which is a group of three elements that satisfy certain properties with some binary operation.
DOI: 10.6084/m9.figshare.7048427
title: SAOM estimation code for RSiena from Social interactions shape individual and collective personality in social spiders

description: R code used to estimate models in RSiena
DOI: 10.6084/m9.figshare.7048427.v1
title: SAOM estimation code for RSiena from Social interactions shape individual and collective personality in social spiders

description: R code used to estimate models in RSiena
DOI: 10.6084/m9.figshare.7048385
title: Farmers’ vulnerability to climate shocks: insights from the Niger basin of Benin

description: This paper investigates the vulnerability of farm-based livelihood systems to climate shocks in the Niger basin of Benin using a household survey dataset relative to the 2012–2013 agricultural year. The integrated approach is used to assess the vulnerability to climate shocks as function of exposure, sensitivity, and adaptive capacity, and the indices are used as a dependent variable in an Ordinary Least Squares regression. The results reveal that 57.43% of the farm households are vulnerable to climate shocks (31.74% are very vulnerable). The findings highlight that the lowest adaptive capacity does not necessarily coincide with highest exposure and sensitivity to result in the highest vulnerability. Social capital is very important in building the resilience of farm-based livelihood systems. Vulnerability of farm-based livelihoods depends on the nature of climate shocks. Indeed, the econometric estimations show that vulnerability levels increase differently with respect to the type of shock; the increase is 0.87, 0.77, 1.27, and 1.28 for droughts, strong winds, heat waves, and erratic rainfall, respectively. Floods appear to be beneficial to the farm households as they negatively influence vulnerability to climate shocks. The simulations suggest that vulnerability to climate shocks will increase in the absence of adaptation.
DOI: 10.6084/m9.figshare.7048385.v2
title: Farmers’ vulnerability to climate shocks: insights from the Niger basin of Benin

description: This paper investigates the vulnerability of farm-based livelihood systems to climate shocks in the Niger basin of Benin using a household survey dataset relative to the 2012–2013 agricultural year. The integrated approach is used to assess the vulnerability to climate shocks as function of exposure, sensitivity, and adaptive capacity, and the indices are used as a dependent variable in an Ordinary Least Squares regression. The results reveal that 57.43% of the farm households are vulnerable to climate shocks (31.74% are very vulnerable). The findings highlight that the lowest adaptive capacity does not necessarily coincide with highest exposure and sensitivity to result in the highest vulnerability. Social capital is very important in building the resilience of farm-based livelihood systems. Vulnerability of farm-based livelihoods depends on the nature of climate shocks. Indeed, the econometric estimations show that vulnerability levels increase differently with respect to the type of shock; the increase is 0.87, 0.77, 1.27, and 1.28 for droughts, strong winds, heat waves, and erratic rainfall, respectively. Floods appear to be beneficial to the farm households as they negatively influence vulnerability to climate shocks. The simulations suggest that vulnerability to climate shocks will increase in the absence of adaptation.
DOI: 10.6084/m9.figshare.7048331
title: Association between impulsivity and flourishing in Substance Use Disorders

description: <i>Impulsivity and flourishing scores, using the impulsivity section of the Low Self-control Measure and the Flourishing Scale, from two studies (n = 60 and 45) with those with SUD</i>
DOI: 10.6084/m9.figshare.7048331.v1
title: Association between impulsivity and flourishing in Substance Use Disorders

description: <i>Impulsivity and flourishing scores, using the impulsivity section of the Low Self-control Measure and the Flourishing Scale, from two studies (n = 60 and 45) with those with SUD</i>
DOI: 10.25377/sussex.7048301
title: Data for research paper: Neuritis and vinblastine-induced axonal transport disruption lead to signs of altered dorsal horn excitability

description: <b>Data for paper appearing in ‘Molecular Pain’</b><br> <br> Dorsal horn electrophysiological, behavioural and immunohistochemical data following neuritis and vinblastine-induced axonal transport disruption. Data set includes ongoing activity rates, wind-up and mechanical responses from wide dynamic range neurons, numbers of c-Fos positive cells and area of substance p labelling in the dorsal horn.<br> <br> <b>Abstract from research paper:</b><b><br></b> <b>Background</b> Many patients with neuropathic pain present without signs of nerve injury on routine clinical examination. Some of these patients may have inflamed peripheral nerves (neuritis). In this study, we have examined whether neuritis causes changes within the dorsal horn that may contribute to a central pain mechanism. Comparisons have been made to a model of axonal transport disruption induced using vinblastine, since neuritis disrupts such processes.<br> <b>Results</b> At the peak of cutaneous hypersensitivities, recordings from wide dynamic range neurons revealed increases in wind-up following neuritis but not vinblastine treatment. Ongoing activity from these neurons was unchanged. Vinblastine treatment caused a reduction in the responses of wide dynamic range neurons to noxious mechanical stimulation of the receptive field. The response of neurons to innocuous mechanical stimulation was also reduced in wide dynamic range neurons that were at a depth ≥550 µm following vinblastine treatment. An examination of the superficial dorsal horn revealed an increase in c-Fos–positive neurons in both groups following electrical stimulation of the sciatic nerve. The area of dorsal horn expressing substance P was also decreased following vinblastine treatment.<br> <b>Conclusion</b> These findings indicate that a minor nerve insult, such as neuritis, can lead to changes within the dorsal horn that are consistent with a central neuropathic pain mechanism.<br>
DOI: 10.25377/sussex.7048301.v2
title: Data for research paper: Neuritis and vinblastine-induced axonal transport disruption lead to signs of altered dorsal horn excitability

description: <b>Data for paper appearing in ‘Molecular Pain’</b><br> <br> Dorsal horn electrophysiological, behavioural and immunohistochemical data following neuritis and vinblastine-induced axonal transport disruption. Data set includes ongoing activity rates, wind-up and mechanical responses from wide dynamic range neurons, numbers of c-Fos positive cells and area of substance p labelling in the dorsal horn.<br> <br> <b>Abstract from research paper:</b><b><br></b> <b>Background</b> Many patients with neuropathic pain present without signs of nerve injury on routine clinical examination. Some of these patients may have inflamed peripheral nerves (neuritis). In this study, we have examined whether neuritis causes changes within the dorsal horn that may contribute to a central pain mechanism. Comparisons have been made to a model of axonal transport disruption induced using vinblastine, since neuritis disrupts such processes.<br> <b>Results</b> At the peak of cutaneous hypersensitivities, recordings from wide dynamic range neurons revealed increases in wind-up following neuritis but not vinblastine treatment. Ongoing activity from these neurons was unchanged. Vinblastine treatment caused a reduction in the responses of wide dynamic range neurons to noxious mechanical stimulation of the receptive field. The response of neurons to innocuous mechanical stimulation was also reduced in wide dynamic range neurons that were at a depth ≥550 µm following vinblastine treatment. An examination of the superficial dorsal horn revealed an increase in c-Fos–positive neurons in both groups following electrical stimulation of the sciatic nerve. The area of dorsal horn expressing substance P was also decreased following vinblastine treatment.<br> <b>Conclusion</b> These findings indicate that a minor nerve insult, such as neuritis, can lead to changes within the dorsal horn that are consistent with a central neuropathic pain mechanism.<br>
DOI: 10.25377/sussex.7048301.v1
title: Data for reserach paper: Neuritis and vinblastine-induced axonal transport disruption lead to signs of altered dorsal horn excitability

description: <b>Data for paper appearing in ‘Molecular Pain’</b><br> <br> Dorsal horn electrophysiological, behavioural and immunohistochemical data following neuritis and vinblastine-induced axonal transport disruption. Data set includes ongoing activity rates, wind-up and mechanical responses from wide dynamic range neurons, numbers of c-Fos positive cells and area of substance p labelling in the dorsal horn.<br> <br> <b>Abstract from research paper:</b><b><br></b> <b>Background</b> Many patients with neuropathic pain present without signs of nerve injury on routine clinical examination. Some of these patients may have inflamed peripheral nerves (neuritis). In this study, we have examined whether neuritis causes changes within the dorsal horn that may contribute to a central pain mechanism. Comparisons have been made to a model of axonal transport disruption induced using vinblastine, since neuritis disrupts such processes.<br> <b>Results</b> At the peak of cutaneous hypersensitivities, recordings from wide dynamic range neurons revealed increases in wind-up following neuritis but not vinblastine treatment. Ongoing activity from these neurons was unchanged. Vinblastine treatment caused a reduction in the responses of wide dynamic range neurons to noxious mechanical stimulation of the receptive field. The response of neurons to innocuous mechanical stimulation was also reduced in wide dynamic range neurons that were at a depth ≥550 µm following vinblastine treatment. An examination of the superficial dorsal horn revealed an increase in c-Fos–positive neurons in both groups following electrical stimulation of the sciatic nerve. The area of dorsal horn expressing substance P was also decreased following vinblastine treatment.<br> <b>Conclusion</b> These findings indicate that a minor nerve insult, such as neuritis, can lead to changes within the dorsal horn that are consistent with a central neuropathic pain mechanism.<br>