cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24518815
title: Supplementary Material for: Ayurveda for a type 1 diabetes patient with peripheral arterial occlusive disease (PAOD)

description: Introduction: The effect of Ayurvedic therapy in type 2 diabetes (t2d) is well documented. For people with type 1 diabetes (t1d), there is little evidence on the applicability of Ayurvedic therapy. This case illustrates the course of Ayurvedic treatment in a person with t1d accompanied by peripheral arterial occlusive disease (PAOD). Case presentation: The patient had insulin-dependent t1d since the age of 6 years. At 39 years of age, he developed progressive bilateral peripheral arterial occlusive disease (PAOD) of the femoral arteries. He presented claudication symptoms at a walking distance of 150m. 10 surgical interventions for recanalization have been performed. The PAOD put heavy psychological strains on the patient. He developed moderate depression with anxiety and complains of tinnitus and sleep disturbances. Through an initial outpatient Ayurvedic treatment focused on dietary and lifestyle changes, phytotherapeutics and a subsequent 6-week inpatient Ayurvedic treatment in India, a weight reduction of 12 kg, a reduction in insulin requirement to 65% of baseline, as well as a walking performance without restriction at medium load could be achieved. The depression and inner tension completely retreated, one-sided tinnitus, and existing sleep disturbances dissolved completely. The lasting effect was still perceptible 5 months after the inpatient stay. Conclusions: For this person with t1d with PAOD, outpatient and inpatient Ayurvedic therapy could generate a significant improvement of his situation. The case demonstrates that people with t1d can benefit from individualized Ayurvedic therapy. This case motivates to invest in Ayurvedic research for people with t1d and complications.
DOI: 10.6084/m9.figshare.24518815.v1
title: Supplementary Material for: Ayurveda for a type 1 diabetes patient with peripheral arterial occlusive disease (PAOD)

description: Introduction: The effect of Ayurvedic therapy in type 2 diabetes (t2d) is well documented. For people with type 1 diabetes (t1d), there is little evidence on the applicability of Ayurvedic therapy. This case illustrates the course of Ayurvedic treatment in a person with t1d accompanied by peripheral arterial occlusive disease (PAOD). Case presentation: The patient had insulin-dependent t1d since the age of 6 years. At 39 years of age, he developed progressive bilateral peripheral arterial occlusive disease (PAOD) of the femoral arteries. He presented claudication symptoms at a walking distance of 150m. 10 surgical interventions for recanalization have been performed. The PAOD put heavy psychological strains on the patient. He developed moderate depression with anxiety and complains of tinnitus and sleep disturbances. Through an initial outpatient Ayurvedic treatment focused on dietary and lifestyle changes, phytotherapeutics and a subsequent 6-week inpatient Ayurvedic treatment in India, a weight reduction of 12 kg, a reduction in insulin requirement to 65% of baseline, as well as a walking performance without restriction at medium load could be achieved. The depression and inner tension completely retreated, one-sided tinnitus, and existing sleep disturbances dissolved completely. The lasting effect was still perceptible 5 months after the inpatient stay. Conclusions: For this person with t1d with PAOD, outpatient and inpatient Ayurvedic therapy could generate a significant improvement of his situation. The case demonstrates that people with t1d can benefit from individualized Ayurvedic therapy. This case motivates to invest in Ayurvedic research for people with t1d and complications.
DOI: 10.5281/zenodo.10079846
title: Pollen nutrients_FabianARuedenauer
DOI: 10.5281/zenodo.10079841
title: Old_people_INE_Chile
DOI: 10.5281/zenodo.10079842
title: Old_people_INE_Chile
DOI: 10.5281/zenodo.10079879
title: Top 100 Song 2023 de CloundSound
DOI: 10.5281/zenodo.10079878
title: Top 100 Song 2023 de CloundSound
DOI: 10.5281/zenodo.10079836
title: Online appendix to State of the CArt: Evaluating Covering Array generators at scale

description: This dataset includes the input models, figures, and resulting output of all CA generation tools evaluated in the context of the article "State of the CArt: Evaluating Covering Array generators at scale".
The file `models.tar.gz` includes the 295 input parameter models in four different dialects (ACTS, CTWedge/pMEDICI, PICT, and CASA).
The file `figures.zip` contains the underlying data of the figures included in the article and the resulting figures (as well as a number of additional visualizations that were not used in the published work).
The files beginning with `evaluation` contain the output, timing, and error messages produced by each of the competing tools, in one folder per strength (named after a timestamp in ascending order of strength).In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]where "toolname" is identical to the current folder,"model_filename" is the exact name of the model file (including suffix),"strength" is the combinatorial strength of the resulting CA (between 2 and 5),"iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),"suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV).
All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.
CASAConverterCLI.jar is a standalone Java program that converts CTWedge models to CASA models. It accepts the path to a CTWedge model and the strength as its parameters.
ct-eval-framework.tar.bz2 contains the evaluation framework itself. It can be used to replicate our results and evaluate your own CA generator. Setup instructions are provided in the README.md file wihtin the archive.
wca-gcc-11-fix.patch is a patch that enables the compilation of WCA under newer versions of GCC.
description: SBA Research (SBA-K1) is a COMET Centre within the framework of COMET -- Competence Centers for Excellent Technologies Programme and funded by BMK, BMDW, and the federal state of Vienna. The COMET Programme is managed by FFG. This work was performed partly under the following financial assistance award 70NANB21H124 from U.S. Department of Commerce, National Institute of Standards and Technology.
DOI: 10.5281/zenodo.7277955
title: Online appendix to State of the CArt: Evaluating Covering Array generators at scale

description: This dataset includes the input models, figures, and resulting output of all CA generation tools evaluated in the context of the article "State of the CArt: Evaluating Covering Array generators at scale".
The file `models.tar.gz` includes the 295 input parameter models in four different dialects (ACTS, CTWedge/pMEDICI, PICT, and CASA).
The file `figures.zip` contains the underlying data of the figures included in the article and the resulting figures (as well as a number of additional visualizations that were not used in the published work).
The files beginning with `evaluation` contain the output, timing, and error messages produced by each of the competing tools, in one folder per strength (named after a timestamp in ascending order of strength).In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]where "toolname" is identical to the current folder,"model_filename" is the exact name of the model file (including suffix),"strength" is the combinatorial strength of the resulting CA (between 2 and 5),"iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),"suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV).
All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.
CASAConverterCLI.jar is a standalone Java program that converts CTWedge models to CASA models. It accepts the path to a CTWedge model and the strength as its parameters.
ct-eval-framework.tar.bz2 contains the evaluation framework itself. It can be used to replicate our results and evaluate your own CA generator. Setup instructions are provided in the README.md file wihtin the archive.
wca-gcc-11-fix.patch is a patch that enables the compilation of WCA under newer versions of GCC.
description: SBA Research (SBA-K1) is a COMET Centre within the framework of COMET -- Competence Centers for Excellent Technologies Programme and funded by BMK, BMDW, and the federal state of Vienna. The COMET Programme is managed by FFG. This work was performed partly under the following financial assistance award 70NANB21H124 from U.S. Department of Commerce, National Institute of Standards and Technology.
DOI: 10.5281/zenodo.7277956
title: Online appendix to State of the CArt: Evaluating Covering Array generators at scale

description: This dataset includes the input models, figures, and resulting output of all CA generation tools evaluated in the context of the article "State of the CArt: Evaluating Covering Array generators at scale". The file `models.tar.gz` includes the 295 input parameter models in four different dialects (ACTS, CTWedge/pMEDICI, PICT, and CASA). The file `figures.zip` contains the underlying data of the figures included in the article and the resulting figures (as well as a number of additional visualizations that were not used in the published work). The files beginning with `evaluation` contain the output, timing, and error messages produced by each of the competing tools, in one folder per strength (named after a timestamp in ascending order of strength).<br> In each of these folders, files conform to the following syntax:[toolname]_[model_filename]_[strength]_[iteration].[suffix]<br> where "toolname" is identical to the current folder,<br> "model_filename" is the exact name of the model file (including suffix),<br> "strength" is the combinatorial strength of the resulting CA (between 2 and 5),<br> "iteration" takes values between 1 and 3 and refers to the round of execution (at lower strengths, tools were tested using 3 iterations; at higher strengths, some tools required too much execution time and were only run once),<br> "suffix" is one of the following: "time" for the output of GNU time in verbose mode; "out" for the resulting CA (in headerless CSV form); "err" for the standard output (usually empty). Note that additional intermediate files may exist for some tools (e.g. when their original output is not strictly a headerless CSV). All tools were executed in Docker containers based on the official OpenJDK image, which is itself based on Debian Buster (Docker identifier: openjdk:14-buster). The experiments were performed on a machine using a Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (16 physical cores, 32 logical cores) with 256 GB RAM.
description: SBA Research (SBA-K1) is a COMET Centre within the framework of COMET -- Competence Centers for Excellent Technologies Programme and funded by BMK, BMDW, and the federal state of Vienna. The COMET Programme is managed by FFG. This work was performed partly under the following financial assistance award 70NANB21H124 from U.S. Department of Commerce, National Institute of Standards and Technology.
DOI: 10.3886/e113111v1-45760
title: Replication data for: The Costs of Sovereign Default: Evidence from Argentina

description: We estimate the causal effect of sovereign default on the equity returns of Argentine firms. We identify this effect by exploiting changes in the probability of Argentine sovereign default induced by legal rulings in the case of NML Capital, Ltd. v. Republic of Argentina. We find that a 10 percent increase in the probability of default causes a 6 percent decline in the value of Argentine equities and a 1 percent depreciation of a measure of the exchange rate. We examine the channels through which a sovereign default may affect the economy.
DOI: 10.3886/e113111
title: Replication data for: The Costs of Sovereign Default: Evidence from Argentina

description: We estimate the causal effect of sovereign default on the equity returns of Argentine firms. We identify this effect by exploiting changes in the probability of Argentine sovereign default induced by legal rulings in the case of NML Capital, Ltd. v. Republic of Argentina. We find that a 10 percent increase in the probability of default causes a 6 percent decline in the value of Argentine equities and a 1 percent depreciation of a measure of the exchange rate. We examine the channels through which a sovereign default may affect the economy.
DOI: 10.3886/e113111v1
title: Replication data for: The Costs of Sovereign Default: Evidence from Argentina

description: We estimate the causal effect of sovereign default on the equity returns of Argentine firms. We identify this effect by exploiting changes in the probability of Argentine sovereign default induced by legal rulings in the case of NML Capital, Ltd. v. Republic of Argentina. We find that a 10 percent increase in the probability of default causes a 6 percent decline in the value of Argentine equities and a 1 percent depreciation of a measure of the exchange rate. We examine the channels through which a sovereign default may affect the economy.
DOI: 10.3886/e113111v2
title: Replication data for: The Costs of Sovereign Default: Evidence from Argentina

description: We estimate the causal effect of sovereign default on the equity returns of Argentine firms. We identify this effect by exploiting changes in the probability of Argentine sovereign default induced by legal rulings in the case of NML Capital, Ltd. v. Republic of Argentina. We find that a 10 percent increase in the probability of default causes a 6 percent decline in the value of Argentine equities and a 1 percent depreciation of a measure of the exchange rate. We examine the channels through which a sovereign default may affect the economy.
DOI: 10.6084/m9.figshare.24150604
title: Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates

description: As immunological and clinical studies become more complex, there is an increasing need to analyze temporal immunophenotypes alongside demographic and clinical covariates, where each subject receives matrix-valued time series observations for potentially high-dimensional longitudinal features, as well as other static characterizations. Researchers aim to find the low-dimensional embedding of subjects using matrix-valued time series observations and investigate relationships between static clinical responses and the embedding. However, constructing these embeddings can be challenging due to high dimensionality, sparsity, and irregularity in sample collection over time. In addition, the incorporation of static auxiliary covariates is frequently desired during such a construction. To address these issues, we propose a smoothed probabilistic PARAFAC model with covariates (SPACO) that uses auxiliary covariates of interest. We provide extensive simulations to test different aspects of SPACO and demonstrate its application to an immunological dataset from patients with SARS-CoV-2 infection. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24150604.v2
title: Smooth and Probabilistic PARAFAC Model with Auxiliary Covariates

description: As immunological and clinical studies become more complex, there is an increasing need to analyze temporal immunophenotypes alongside demographic and clinical covariates, where each subject receives matrix-valued time series observations for potentially high-dimensional longitudinal features, as well as other static characterizations. Researchers aim to find the low-dimensional embedding of subjects using matrix-valued time series observations and investigate relationships between static clinical responses and the embedding. However, constructing these embeddings can be challenging due to high dimensionality, sparsity, and irregularity in sample collection over time. In addition, the incorporation of static auxiliary covariates is frequently desired during such a construction. To address these issues, we propose a smoothed probabilistic PARAFAC model with covariates (SPACO) that uses auxiliary covariates of interest. We provide extensive simulations to test different aspects of SPACO and demonstrate its application to an immunological dataset from patients with SARS-CoV-2 infection. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24150604.v1
title: Smooth and probabilistic PARAFAC model with auxiliary covariates

description: As immunological and clinical studies become more complex, there is an increasing need to analyze temporal immunophenotypes alongside demographic and clinical covariates, where each subject receives matrix-valued time series observations for potentially high-dimensional longitudinal features, as well as other static characterizations. Researchers aim to find the low-dimensional embedding of subjects using matrix-valued time series observations and investigate relationships between static clinical responses and the embedding. However, constructing these embeddings can be challenging due to high dimensionality, sparsity, and irregularity in sample collection over time. In addition, the incorporation of static auxiliary covariates is frequently desired during such a construction. To address these issues, we propose a smoothed probabilistic PARAFAC model with covariates (SPACO) that utilizes auxiliary covariates of interest. We provide extensive simulations to test different aspects of SPACO and demonstrate its application to an immunological dataset from patients with SARS-CoV-2 infection. Supplemental materials associated with this article are available online.
DOI: 10.6084/m9.figshare.24518973
title: A systemic analysis of monocarboxylate transporters in ovarian cancer and possible therapeutic interventions

description: Monocarboxylate transporters (MCTs) play an immense role in metabolically active solid tumors by regulating concentration-dependent transport of different important monocarboxylates including pyruvate and lactate and are encoded by the SLC16A family of genes. Given the vast array of functions, these transporters play in oncogenesis, our objective was to look into the association of MCT1 (SLC16A1), MCT2 (SLC16A7), MCT3 (SLC16A8), and MCT4 (SLC16A3) with Epithelial ovarian cancer (EOC) pathophysiology by exploiting various publicly available databases and web resources. Few of the <i>in silico</i> findings were confirmed via <i>in vitro</i> experiments in EOC cell lines, SKOV3 and OAW-42. MCT1 and MCT4 were found to be upregulated at the mRNA level in OC tissues compared to normal. However, only higher level of MCT4 mRNA was found to be associated with poor patient survival. MCT4 was positively correlated with gene families responsible for invasion, migration, and immune modification, proving it to be one of the most important MCTs for therapeutic intervention. We compared the effects of MCT1/2 blocker SR13800 and a broad-spectrum MCT blocker α-Cyano Hydroxy Cinnamic Acid (α-CHCA) and discovered that α-CHCA has a greater effect on diminishing the invasive behavior of the cancer cells than MCT1/2 blocker SR13800. From our study, MCT4 has emerged as a prospective marker for predicting poor patient outcomes and a potential therapeutic target.
DOI: 10.6084/m9.figshare.24518973.v1
title: A systemic analysis of monocarboxylate transporters in ovarian cancer and possible therapeutic interventions

description: Monocarboxylate transporters (MCTs) play an immense role in metabolically active solid tumors by regulating concentration-dependent transport of different important monocarboxylates including pyruvate and lactate and are encoded by the SLC16A family of genes. Given the vast array of functions, these transporters play in oncogenesis, our objective was to look into the association of MCT1 (SLC16A1), MCT2 (SLC16A7), MCT3 (SLC16A8), and MCT4 (SLC16A3) with Epithelial ovarian cancer (EOC) pathophysiology by exploiting various publicly available databases and web resources. Few of the <i>in silico</i> findings were confirmed via <i>in vitro</i> experiments in EOC cell lines, SKOV3 and OAW-42. MCT1 and MCT4 were found to be upregulated at the mRNA level in OC tissues compared to normal. However, only higher level of MCT4 mRNA was found to be associated with poor patient survival. MCT4 was positively correlated with gene families responsible for invasion, migration, and immune modification, proving it to be one of the most important MCTs for therapeutic intervention. We compared the effects of MCT1/2 blocker SR13800 and a broad-spectrum MCT blocker α-Cyano Hydroxy Cinnamic Acid (α-CHCA) and discovered that α-CHCA has a greater effect on diminishing the invasive behavior of the cancer cells than MCT1/2 blocker SR13800. From our study, MCT4 has emerged as a prospective marker for predicting poor patient outcomes and a potential therapeutic target.
DOI: 10.6084/m9.figshare.24492599
title: Leisure and social occupational choice within nursing home facilities in Ireland: Residents perspectives

description: National standards for nursing homes in Ireland require that residents are offered a choice of recreational and stimulating activities to meet their needs and preferences. To investigate residents’ perceptions of leisure and social occupational choice in nursing homes in Ireland to determine if occupational choice is facilitated. Qualitative-descriptive design – nursing home residents completed two semi-structured interviews that explored their experiences of leisure and social occupational engagement. Two overarching themes with six associated sub-themes emerged. From residents’ perspectives, social and leisure occupational choice was dependent on: Environmental factors (nursing homes’ Cultural, Social, Physical, and Temporal Environments) and Personal factors (residents’ Health Status and Personal Attitudes). The cultural environment had the most significant influence on residents’ leisure and social occupational choice, highlighting the importance of person-centred care within nursing homes, to promote occupational choice. Resident’s health status was also identified as a contributing factor. Occupational therapists could play a critical role in supporting the leisure and social occupational choices of nursing home residents by developing residents’ skills, educating staff and adapting tasks and the environment to limit/reduce occupational deprivation.