cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25133661.v2
title: Statistical study and investigation of the cut-resistant and thermo-physiological performance of protective gloves: a new prospective

description: <i>Objectives</i>. This research investigated the performance properties of protective gloves alongside improvement in thermo-physiological comfort properties. <i>Methods</i>. Knitted gloves prepared from filament stainless steel, filament Kevlar, staple spun Kevlar and filament glass were used in the core, while 100% viscose rayon and 50/50% polyester/viscose rayon were used in the sheath. Gloves were tested for cut resistance, tear resistance, puncture resistance and abrasion resistance as the prime focus, and thermo-physiological comfort properties were also tested. In this research, a multi-response optimization technique, i.e., principal component analysis, was applied to identify the best yarn combination for gloves based on the aforementioned properties. Thermal images were also taken in constant ambient conditions for temperature distribution maps across the hand’s surface. <i>Results</i>. All of the results were evaluated statistically with analysis of variance, and concluded that the effects of the core yarn on thermo-physiological properties were less significant. <i>Conclusion</i>. The results revealed that samples having dual-core yarn exhibited better in terms of overall properties. The sample having dual-core filament Kevlar and staple spun Kevlar ranked the best. In addition, developed samples exhibited better comfort properties than the control sample.
DOI: 10.6084/m9.figshare.17204727
title: Additional file 4 of Identification of Gm15441, a Txnip antisense lncRNA, as a critical regulator in liver metabolic homeostasis

description: Additional file 4. The complete list of mRNAs highly correlated with Txnip and Gm15441.
DOI: 10.6084/m9.figshare.17204727.v1
title: Additional file 4 of Identification of Gm15441, a Txnip antisense lncRNA, as a critical regulator in liver metabolic homeostasis

description: Additional file 4. The complete list of mRNAs highly correlated with Txnip and Gm15441.
DOI: 10.6084/m9.figshare.17204716
title: Additional file 1 of Transcriptional responses of Daphnis nerii larval midgut to oral infection by Daphnis nerii cypovirus-23

description: Additional file 1. All the different expression genes in the midgut after DnCPV-23 infection.
DOI: 10.6084/m9.figshare.17204716.v1
title: Additional file 1 of Transcriptional responses of Daphnis nerii larval midgut to oral infection by Daphnis nerii cypovirus-23

description: Additional file 1. All the different expression genes in the midgut after DnCPV-23 infection.
DOI: 10.5281/zenodo.10584345
title: Linked collectors and determiners for: Invertebrate collection of University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Invertebrate collection of University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10584346
title: Linked collectors and determiners for: Invertebrate collection of University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Invertebrate collection of University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10704667
title: Linked collectors and determiners for: Invertebrate collection of University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Invertebrate collection of University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4b5ccd8b-c137-4844-8e87-d681f48fc474. Formatted as a Frictionless Data package.
DOI: 10.6084/m9.figshare.11961882.v1
title: Threshold Regression With A Threshold Boundary*

description: This paper studies computation, estimation, inference and testing for linearity in threshold regression with a threshold boundary. We first put forward a new algorithm to ease the computation of the threshold boundary, and develop the asymptotics for the least squares estimator in both the fixed-threshold-effect framework and the small-threshold-effect framework. We also show that the inverting-likelihood-ratio method is not suitable to construct confidence sets for the threshold parameters, while the nonparametric posterior interval is still applicable. We then propose a new score-type test to test for the existence of threshold effects. Comparing with the usual Wald-type test, it is computationally less intensive, and its critical values are easier to obtain by the simulation method. Simulation studies corroborate the theoretical results. We finally conduct two empirical applications in labor economics to illustrate the nonconstancy of thresholds.
DOI: 10.6084/m9.figshare.17204763
title: Additional file 2 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 2.
DOI: 10.6084/m9.figshare.17204763.v1
title: Additional file 2 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 2.
DOI: 10.6084/m9.figshare.17204766
title: Additional file 3 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 3.
DOI: 10.6084/m9.figshare.17204766.v1
title: Additional file 3 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 3.
DOI: 10.6084/m9.figshare.17204769
title: Additional file 4 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 4.
DOI: 10.6084/m9.figshare.17204769.v1
title: Additional file 4 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 4.
DOI: 10.6084/m9.figshare.17204772
title: Additional file 5 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 5.
DOI: 10.6084/m9.figshare.17204772.v1
title: Additional file 5 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 5.
DOI: 10.6084/m9.figshare.17204775
title: Additional file 6 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 6.
DOI: 10.6084/m9.figshare.17204775.v1
title: Additional file 6 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 6.
DOI: 10.6084/m9.figshare.17204781
title: Additional file 7 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 7.
DOI: 10.6084/m9.figshare.17204781.v1
title: Additional file 7 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 7.
DOI: 10.6084/m9.figshare.17204787
title: Additional file 8 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 8.
DOI: 10.6084/m9.figshare.17204787.v1
title: Additional file 8 of Genetic stability of Aedes aegypti populations following invasion by wMel Wolbachia

description: Additional file 8.
DOI: 10.6084/m9.figshare.13534781
title: Additional file 1 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 1. The calculated cell type-specificity and scores of genes in each cell type.
DOI: 10.6084/m9.figshare.13534781.v1
title: Additional file 1 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 1. The calculated cell type-specificity and scores of genes in each cell type.
DOI: 10.6084/m9.figshare.13534784
title: Additional file 2 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 2. The enriched GO terms for cell type-specific gene networks obtained using cell type score threshold of zero.
DOI: 10.6084/m9.figshare.13534784.v1
title: Additional file 2 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 2. The enriched GO terms for cell type-specific gene networks obtained using cell type score threshold of zero.
DOI: 10.6084/m9.figshare.13534790
title: Additional file 4 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 4. The genes, their cell type scores and SAFRI categories in the cell type-specific ASD gene modules obtained using cell type score threshold of one. The enriched GO terms are listed.
DOI: 10.6084/m9.figshare.13534790.v1
title: Additional file 4 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 4. The genes, their cell type scores and SAFRI categories in the cell type-specific ASD gene modules obtained using cell type score threshold of one. The enriched GO terms are listed.
DOI: 10.6084/m9.figshare.13534802
title: Additional file 8 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 8. The genes, their cell type scores and SZDB categories in the cell type-specific SCZ gene modules obtained using score threshold of one. The enriched GO terms are listed.
DOI: 10.6084/m9.figshare.13534802.v1
title: Additional file 8 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 8. The genes, their cell type scores and SZDB categories in the cell type-specific SCZ gene modules obtained using score threshold of one. The enriched GO terms are listed.
DOI: 10.6084/m9.figshare.13534808
title: Additional file 9 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 9. The genes, their cell type scores and BDgene database categories in the cell type-specific BPD gene modules obtained using score threshold of one. The enriched GO terms are listed.
DOI: 10.6084/m9.figshare.13534808.v1
title: Additional file 9 of An analytical method for the identification of cell type-specific disease gene modules

description: Additional file 9. The genes, their cell type scores and BDgene database categories in the cell type-specific BPD gene modules obtained using score threshold of one. The enriched GO terms are listed.
DOI: 10.26182/k2a5-1a71
title: Isotopic data from the Dampier Archipelago
DOI: 10.6084/m9.figshare.17204850
title: Additional file 4 of C1QTNF6 promotes oral squamous cell carcinoma by enhancing proliferation and inhibiting apoptosis

description: Additional file 4. The total amount of fluorescence expression of the C1QTNF6-shRNA group and Ctrl-shRNA group.
DOI: 10.6084/m9.figshare.17204850.v1
title: Additional file 4 of C1QTNF6 promotes oral squamous cell carcinoma by enhancing proliferation and inhibiting apoptosis

description: Additional file 4. The total amount of fluorescence expression of the C1QTNF6-shRNA group and Ctrl-shRNA group.
DOI: 10.15161/oar.it/143646
title: Dataset related to article "Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study"

description: Dataset description available on the downloadable file.
DOI: 10.15161/oar.it/143647
title: Dataset related to article "Clinical Features to Predict the Use of a sEMG Wearable Device (REMO®) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study"

description: Dataset description available on the downloadable file.
DOI: 10.15161/oar.it/143644
title: Dataset related to article "Clinical Predictors for Upper Limb Recovery after Stroke Rehabilitation: Retrospective Cohort Study"

description: Dataset description available on the downloadable file.
DOI: 10.15161/oar.it/143645
title: Dataset related to article "Clinical Predictors for Upper Limb Recovery after Stroke Rehabilitation: Retrospective Cohort Study"

description: Dataset description available on the downloadable file.
DOI: 10.6084/m9.figshare.14583463.v1
title: Additional file 2 of Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations

description: Additional file 2. Additional table.
DOI: 10.6084/m9.figshare.14583463
title: Additional file 2 of Deconvolution of sarcoma methylomes reveals varying degrees of immune cell infiltrates with association to genomic aberrations

description: Additional file 2. Additional table.
DOI: 10.5281/zenodo.10584451
title: Linked collectors and determiners for: Type specimens of invertebrate collection at University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Type specimens of invertebrate collection at University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10584452
title: Linked collectors and determiners for: Type specimens of invertebrate collection at University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Type specimens of invertebrate collection at University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10704753
title: Linked collectors and determiners for: Type specimens of invertebrate collection at University of Oulu Zoological Museum.

description: Natural history specimen data linked to collectors and determiners held within, "Type specimens of invertebrate collection at University of Oulu Zoological Museum". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/4ee3ee64-8ca4-4d5e-871e-09f437ae86df. Formatted as a Frictionless Data package.
DOI: 10.6084/m9.figshare.13010627
title: Additional file 1 of Clinical effect of conbercept on improving diabetic macular ischemia by OCT angiography

description: Additional file 1:.
DOI: 10.6084/m9.figshare.13010627.v1
title: Additional file 1 of Clinical effect of conbercept on improving diabetic macular ischemia by OCT angiography

description: Additional file 1:.
DOI: 10.6084/m9.figshare.17204926
title: Additional file 2 of Identification of immune subtypes of Ph-neg B-ALL with ferroptosis related genes and the potential implementation of Sorafenib

description: Additional file 2: Table S2. Genomic mutation detection panel.
DOI: 10.6084/m9.figshare.17204926.v1
title: Additional file 2 of Identification of immune subtypes of Ph-neg B-ALL with ferroptosis related genes and the potential implementation of Sorafenib

description: Additional file 2: Table S2. Genomic mutation detection panel.
DOI: 10.15161/oar.it/143642
title: Dataset related to article "Telerehabilitation for Stroke: A Personalized Multi-Domain Approach in a Pilot Study"

description: Dataset description available on the downloadable file.
DOI: 10.15161/oar.it/143643
title: Dataset related to article "Telerehabilitation for Stroke: A Personalized Multi-Domain Approach in a Pilot Study"

description: Dataset description available on the downloadable file.
DOI: 10.6084/m9.figshare.17204932
title: Additional file 3 of Identification of immune subtypes of Ph-neg B-ALL with ferroptosis related genes and the potential implementation of Sorafenib

description: Additional file 3.
DOI: 10.6084/m9.figshare.17204932.v1
title: Additional file 3 of Identification of immune subtypes of Ph-neg B-ALL with ferroptosis related genes and the potential implementation of Sorafenib

description: Additional file 3.
DOI: 10.6084/m9.figshare.5146315
title: A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes

description: Medical therapy often consists of multiple stages, with a treatment chosen by the physician at each stage based on the patient’s history of treatments and clinical outcomes. These decisions can be formalized as a dynamic treatment regime. This article describes a new approach for optimizing dynamic treatment regimes, which bridges the gap between Bayesian inference and existing approaches, like Q-learning. The proposed approach fits a series of Bayesian regression models, one for each stage, in reverse sequential order. Each model uses as a response variable the remaining payoff assuming optimal actions are taken at subsequent stages, and as covariates the current history and relevant actions at that stage. The key difficulty is that the optimal decision rules at subsequent stages are unknown, and even if these decision rules were known the relevant response variables may be counterfactual. However, posterior distributions can be derived from the previously fitted regression models for the optimal decision rules and the counterfactual response variables under a particular set of rules. The proposed approach averages over these posterior distributions when fitting each regression model. An efficient sampling algorithm for estimation is presented, along with simulation studies that compare the proposed approach with Q-learning. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.5146315.v1
title: A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes

description: Medical therapy often consists of multiple stages, with a treatment chosen by the physician at each stage based on the patient’s history of treatments and clinical outcomes. These decisions can be formalized as a dynamic treatment regime. This article describes a new approach for optimizing dynamic treatment regimes, which bridges the gap between Bayesian inference and existing approaches, like Q-learning. The proposed approach fits a series of Bayesian regression models, one for each stage, in reverse sequential order. Each model uses as a response variable the remaining payoff assuming optimal actions are taken at subsequent stages, and as covariates the current history and relevant actions at that stage. The key difficulty is that the optimal decision rules at subsequent stages are unknown, and even if these decision rules were known the relevant response variables may be counterfactual. However, posterior distributions can be derived from the previously fitted regression models for the optimal decision rules and the counterfactual response variables under a particular set of rules. The proposed approach averages over these posterior distributions when fitting each regression model. An efficient sampling algorithm for estimation is presented, along with simulation studies that compare the proposed approach with Q-learning. Supplementary materials for this article are available online.
DOI: 10.15161/oar.it/143640
title: Dataset related to article "Anti-SARS-CoV-2 IgG Antibody Response in Individuals Infected Post Complete Vaccination: A 6-Month Longitudinal Study in Healthcare Professionals"

description: Dati imputati: 1 foglio Excel contenente le informazioni raccolte per le analisi statistiche effettuate per lo studio.

Leggenda:


 
 ID: identificatore del campione anonimizzato
 
 
 Age: età del volontario alla prima acquisizione del campione biologico
 
 
 Sex: sesso del volontario
 
 
 effetti.collaterali: effetti collaterali dopo inoculazione del vaccino
 
 
 covid: infezione da Covid-19
 
 
 data infezione: data infezione da Covid-19
 
 
 M4D2: livello di anticorpi anti Covid-19 4 mesi dopo la seconda dose di vaccino
 
 
 M6D2: livello di anticorpi anti Covid-19 6 mesi dopo la seconda dose di vaccino
 
 
 P3D: livello di anticorpi anti Covid-19 6 al momento di inoculazione della terza dose di vaccino
 
 
 M1D3: livello di anticorpi anti Covid-19 1 mese dopo la terza dose di vaccino
 
 
 M2D3: livello di anticorpi anti Covid-19 2 mesi dopo la terza dose di vaccino
 
 
 M4D3: livello di anticorpi anti Covid-19 4 mesi dopo la terza dose di vaccino
 
 
 M6D3: livello di anticorpi anti Covid-19 6 mesi dopo la terza dose di vaccino
 
 
 sintomi.generici: descrizione sintomi da infezione da Covid-19
 
 
 sintomi: sintomi da infezione da Covid-19 classificati per livello di severità
DOI: 10.15161/oar.it/143641
title: Dataset related to article "Anti-SARS-CoV-2 IgG Antibody Response in Individuals Infected Post Complete Vaccination: A 6-Month Longitudinal Study in Healthcare Professionals"

description: Dati imputati: 1 foglio Excel contenente le informazioni raccolte per le analisi statistiche effettuate per lo studio.

Leggenda:


 
 ID: identificatore del campione anonimizzato
 
 
 Age: età del volontario alla prima acquisizione del campione biologico
 
 
 Sex: sesso del volontario
 
 
 effetti.collaterali: effetti collaterali dopo inoculazione del vaccino
 
 
 covid: infezione da Covid-19
 
 
 data infezione: data infezione da Covid-19
 
 
 M4D2: livello di anticorpi anti Covid-19 4 mesi dopo la seconda dose di vaccino
 
 
 M6D2: livello di anticorpi anti Covid-19 6 mesi dopo la seconda dose di vaccino
 
 
 P3D: livello di anticorpi anti Covid-19 6 al momento di inoculazione della terza dose di vaccino
 
 
 M1D3: livello di anticorpi anti Covid-19 1 mese dopo la terza dose di vaccino
 
 
 M2D3: livello di anticorpi anti Covid-19 2 mesi dopo la terza dose di vaccino
 
 
 M4D3: livello di anticorpi anti Covid-19 4 mesi dopo la terza dose di vaccino
 
 
 M6D3: livello di anticorpi anti Covid-19 6 mesi dopo la terza dose di vaccino
 
 
 sintomi.generici: descrizione sintomi da infezione da Covid-19
 
 
 sintomi: sintomi da infezione da Covid-19 classificati per livello di severità
DOI: 10.6084/m9.figshare.13010651
title: Additional file 10 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 10: Table S8. RNA-seq data (FPKM values) of CsWRKY genes under salt/heat treatment/powdery mildew /downy mildew infection.
DOI: 10.6084/m9.figshare.13010663
title: Additional file 3 of Genome-wide analysis of the WRKY gene family in the cucumber genome and transcriptome-wide identification of WRKY transcription factors that respond to biotic and abiotic stresses

description: Additional file 3: Table S1. List of the 61 CsWRKY genes identified in this study.