cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20044385
title: Tabela de Obras Incluídas na revisão por tema

description: Tabela com as obras incluidas na investigação
DOI: 10.6084/m9.figshare.20044399
title: Exact Barrier Option Valuation with Deterministic Volatility

description: Focus, in the past four decades, has been obtaining closed-form expressions for the noarbitrage prices and hedges of modified versions of the European options, allowing the dynamic of the underlying assets to have non-constant parameters. In this paper, we obtain a closed-form expression for the price and hedge of an up-and-out European barrier option, assuming that the volatility in the dynamic of the risky asset is an arbitrary deterministic function of time. Setting a constant volatility, the formulas recover the Black and Scholes results, which suggestsminimum computational effort. We introduce a novel concept of relative standard deviation for measuring the exposure of the practitioner to risk (enforced by a strategy). The notion that is found in the literature is different and looses the correct physical interpretation. The measure serves aiding the practitioner to adjust the number of rebalances during the option's lifetime.
DOI: 10.6084/m9.figshare.20044399.v1
title: Exact Barrier Option Valuation with Deterministic Volatility

description: Focus, in the past four decades, has been obtaining closed-form expressions for the noarbitrage prices and hedges of modified versions of the European options, allowing the dynamic of the underlying assets to have non-constant parameters. In this paper, we obtain a closed-form expression for the price and hedge of an up-and-out European barrier option, assuming that the volatility in the dynamic of the risky asset is an arbitrary deterministic function of time. Setting a constant volatility, the formulas recover the Black and Scholes results, which suggestsminimum computational effort. We introduce a novel concept of relative standard deviation for measuring the exposure of the practitioner to risk (enforced by a strategy). The notion that is found in the literature is different and looses the correct physical interpretation. The measure serves aiding the practitioner to adjust the number of rebalances during the option's lifetime.
DOI: 10.6084/m9.figshare.20044402.v1
title: On High Order Barycentric Root-Finding Methods

description: ABSTRACT. To approximate a simple root of a real function f we construct a family of iterative maps, which we call Newton-barycentric functions, and analyse their convergence order. The performance of the resulting methods is illustrated by means of numerical examples.
DOI: 10.6084/m9.figshare.20044402
title: On High Order Barycentric Root-Finding Methods

description: ABSTRACT. To approximate a simple root of a real function f we construct a family of iterative maps, which we call Newton-barycentric functions, and analyse their convergence order. The performance of the resulting methods is illustrated by means of numerical examples.
DOI: 10.6084/m9.figshare.20044405.v1
title: Sistemas Lineares Aproximados Derivados de Problemas de Fluxo Multiproduto em Métodos de Pontos Interiores

description: ABSTRACT One of the approaches used to solve the linear system that arises at each iteration in the primal-dual interior points methods is reduce it to an equivalent symmetrical positive defined linear system, known as normal equation system and apply the factorization in the system matrix. The major disavantage of this approach is the filling generated during factorization, which may turn their use impractical for limited time and memory. In order, to deal with the fill-in problem in the Cholesky factorization, in this paper, we proposed an approach that solve directly approximate normal equations linear systems derived from the multiproduct commodity problems and apply some control over the filling.
DOI: 10.6084/m9.figshare.20044405
title: Sistemas Lineares Aproximados Derivados de Problemas de Fluxo Multiproduto em Métodos de Pontos Interiores

description: ABSTRACT One of the approaches used to solve the linear system that arises at each iteration in the primal-dual interior points methods is reduce it to an equivalent symmetrical positive defined linear system, known as normal equation system and apply the factorization in the system matrix. The major disavantage of this approach is the filling generated during factorization, which may turn their use impractical for limited time and memory. In order, to deal with the fill-in problem in the Cholesky factorization, in this paper, we proposed an approach that solve directly approximate normal equations linear systems derived from the multiproduct commodity problems and apply some control over the filling.
DOI: 10.6084/m9.figshare.20044408
title: On the Stability of Volterra Difference Equations of Convolution Type

description: ABSTRACT In 4, S. Elaydi obtained a characterization of the stability of the null solution of the Volterra difference equation x n = ∑ i = 0 n - 1 a n - i x i , n ≥ 1 , by localizing the roots of its characteristic equation 1 - ∑ n = 1 ∞ a n z n = 0 . The assumption that (an ) ∈ ℓ1 was the single hypothesis considered for the validity of that characterization, which is an insufficient condition if the ratio R of convergence of the power series of the previous equation equals one. In fact, when R = 1, this characterization conflicts with a result obtained by Erdo¨ s et al. in 8. Here, we analyze the R = 1 case and show that some parts of that characterization still hold. Furthermore, studies on stability for the R &lt; 1 case are presented. Finally, we study some results related to stability via finite approximation.
DOI: 10.6084/m9.figshare.20044408.v1
title: On the Stability of Volterra Difference Equations of Convolution Type

description: ABSTRACT In 4, S. Elaydi obtained a characterization of the stability of the null solution of the Volterra difference equation x n = ∑ i = 0 n - 1 a n - i x i , n ≥ 1 , by localizing the roots of its characteristic equation 1 - ∑ n = 1 ∞ a n z n = 0 . The assumption that (an ) ∈ ℓ1 was the single hypothesis considered for the validity of that characterization, which is an insufficient condition if the ratio R of convergence of the power series of the previous equation equals one. In fact, when R = 1, this characterization conflicts with a result obtained by Erdo¨ s et al. in 8. Here, we analyze the R = 1 case and show that some parts of that characterization still hold. Furthermore, studies on stability for the R &lt; 1 case are presented. Finally, we study some results related to stability via finite approximation.
DOI: 10.6084/m9.figshare.6504251
title: Análise do Esforço Computacional das Funções Densidade de Probabilidade com Diferentes Distribuições

description: ABSTRACT When working with floating point numbers the result is only an approximation of a real value and errors generated by rounding or by instability of the algorithms can lead to incorrect results. We can’t affirm the accuracy of the estimated answer without the contribution of an error analysis. Using intervals for the representation of real numbers, it is possible to control this error propagation, because intervals results carry with them the security of their quality. To obtain the numerical value of the probability density functions of continuous random variables with distributions Uniform, Exponential, Normal, Gamma and Pareto is necessary to use numerical integration, once the primitive of the integral do not always is simple to obtain. Moreover, the result is obtained by approximation and therefore affected by truncation or rounding errors. Moreover, the result is obtained by approximation and therefore affected by truncation or rounding errors. In this context, this paper has aims to analyze the computational complexity to compute the probability density functions with Uniform, Exponential, Normal, Gamma and Pareto distributions in the real and interval forms. Thus, make sure that by using interval arithmetic to calculate the probability density function of the random variables with distributions, it is possible to have an automatic error control with reliables boundaries, and, at least, keep the existing computational effort in the calculation using the real arithmetic.
DOI: 10.6084/m9.figshare.6504251.v1
title: Análise do Esforço Computacional das Funções Densidade de Probabilidade com Diferentes Distribuições

description: ABSTRACT When working with floating point numbers the result is only an approximation of a real value and errors generated by rounding or by instability of the algorithms can lead to incorrect results. We can’t affirm the accuracy of the estimated answer without the contribution of an error analysis. Using intervals for the representation of real numbers, it is possible to control this error propagation, because intervals results carry with them the security of their quality. To obtain the numerical value of the probability density functions of continuous random variables with distributions Uniform, Exponential, Normal, Gamma and Pareto is necessary to use numerical integration, once the primitive of the integral do not always is simple to obtain. Moreover, the result is obtained by approximation and therefore affected by truncation or rounding errors. Moreover, the result is obtained by approximation and therefore affected by truncation or rounding errors. In this context, this paper has aims to analyze the computational complexity to compute the probability density functions with Uniform, Exponential, Normal, Gamma and Pareto distributions in the real and interval forms. Thus, make sure that by using interval arithmetic to calculate the probability density function of the random variables with distributions, it is possible to have an automatic error control with reliables boundaries, and, at least, keep the existing computational effort in the calculation using the real arithmetic.
DOI: 10.6084/m9.figshare.20044394.v1
title: Monthly data at 0.1 deg resolution

description: Monthly data at 0.1 deg resolution
DOI: 10.6084/m9.figshare.7482629
title: Fusion of Online Assessment Methods for Gynecological Examination Training: a Feasibility Study

description: ABSTRACT The objective of this paper was to determine if a fusion of online assessment methods is a feasible methodology for online assessment of performance of users inside virtual reality simulators. Three different forms of the Fuzzy Naive Bayes method based on statistical distributions were used to assess specific tasks and the fusion of information was performed by a Weighted Majority Voting system. Data was compiled representing a portion of the Gynecological Examination, which is a checkup examination that is routinely performed for women and is paramount in finding earlier cases of cervical cancer. Confusion matrices and Kappa coefficients were obtained using a Monte Carlo simulation for this method. From the analysis of these results, it is possible to confirm that this method performed well, with a substantial agreement degree.
DOI: 10.6084/m9.figshare.7482629.v1
title: Fusion of Online Assessment Methods for Gynecological Examination Training: a Feasibility Study

description: ABSTRACT The objective of this paper was to determine if a fusion of online assessment methods is a feasible methodology for online assessment of performance of users inside virtual reality simulators. Three different forms of the Fuzzy Naive Bayes method based on statistical distributions were used to assess specific tasks and the fusion of information was performed by a Weighted Majority Voting system. Data was compiled representing a portion of the Gynecological Examination, which is a checkup examination that is routinely performed for women and is paramount in finding earlier cases of cervical cancer. Confusion matrices and Kappa coefficients were obtained using a Monte Carlo simulation for this method. From the analysis of these results, it is possible to confirm that this method performed well, with a substantial agreement degree.
DOI: 10.5281/zenodo.6629561
title: Supplementary NMR-package for "A Concise Synthesis of Tetrodotoxin"

description: This data package contains Supplementary Materials in form of raw NMR.fid files for our manuscript entitled "A Concise Synthesis of Tetrodotoxin".
DOI: 10.5281/zenodo.6629560
title: Supplementary NMR-package for "A Concise Synthesis of Tetrodotoxin"

description: This data package contains Supplementary Materials in form of raw NMR.fid files for our manuscript entitled "A Concise Synthesis of Tetrodotoxin".
DOI: 10.6084/m9.figshare.20044438
title: The defense of workers' rights in times of Covid-19: the case of the work of the Public Ministry of Labor of the 3rd Region (Minas Gerais)

description: Abstract The article analyzes the resistance action of the Public Ministry of Labor (MPT) to Provisional Measures 926, 927 and 936/2020 and Law 14200/2020, created to confront the effects of Covid-19. As a sample, they were chosen as Technical Notes of the MPT, Public Civil Actions and Annulment Actions of Conventional Clauses related to Covid-19, in the period from March 2020 to February 2021, authored by the Regional Labor Attorney of the 3rd Region (PRT / Minas Gerais). The study confirms the hypothesis that the MPT's actions oppose the deconstruction of labor law, a process that was deepened by the legislation of the emergency period.
DOI: 10.6084/m9.figshare.20044438.v1
title: The defense of workers' rights in times of Covid-19: the case of the work of the Public Ministry of Labor of the 3rd Region (Minas Gerais)

description: Abstract The article analyzes the resistance action of the Public Ministry of Labor (MPT) to Provisional Measures 926, 927 and 936/2020 and Law 14200/2020, created to confront the effects of Covid-19. As a sample, they were chosen as Technical Notes of the MPT, Public Civil Actions and Annulment Actions of Conventional Clauses related to Covid-19, in the period from March 2020 to February 2021, authored by the Regional Labor Attorney of the 3rd Region (PRT / Minas Gerais). The study confirms the hypothesis that the MPT's actions oppose the deconstruction of labor law, a process that was deepened by the legislation of the emergency period.
DOI: 10.5281/zenodo.6510472
title: UK HESA 2020 Academic women: Changing the Academic Gender Narrative through Open Access

description: This Zenodo entry includes the full data files (.csv and .xlsx) for Figure 6: 'Percentages of women academic staff (headcount) in a subset of 165 United Kingdom universities by grouping, 2020', included in the manuscript "Changing the Academic Gender Narrative through Open Access", authored by members of the Curtin Open Knowledge Initiative (COKI). The analysis is of publicly available data sourced from the United Kingdom Higher Education Statistics Agency (HESA).
DOI: 10.5281/zenodo.6510471
title: UK HESA 2020 Academic women: Changing the Academic Gender Narrative through Open Access

description: This Zenodo entry includes the full data files (.csv and .xlsx) for Figure 6: 'Percentages of women academic staff (headcount) in a subset of 165 United Kingdom universities by grouping, 2020', included in the manuscript "Changing the Academic Gender Narrative through Open Access", authored by members of the Curtin Open Knowledge Initiative (COKI). The analysis is of publicly available data sourced from the United Kingdom Higher Education Statistics Agency (HESA).
DOI: 10.6073/pasta/9fab738a06e15d960c4bc950e35d3425
title: Annual density and biomass of seagrass fauna on the Virginia Coast, 2019

description: These data are annual estimates of the density (counts) and biomass (dry mass) of infauna and epifauna in restored seagrass meadows of the Virginia coastal bays. Estimates are separated into taxonomic groups: worms, isopods, amphipods, bivalves, crabs, gastropods, and shrimp. Infauna were collected by hand using benthic cores and epifauna were collected using throw traps. Sampling was conducted in July at 50 sites, with 3 replicates per sampling method per site. Data collection began in the summer of 2019 and continues annually.
DOI: 10.25919/prya-6t17
title: RV Investigator Voyage IN2022_V03 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) data archive from the Marine National Facility (MNF) RV Investigator voyage IN2022_V03, titled "SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania". The voyage took place between May 4, 2022 and May 15, 2022 (AEST), departing from Hobart and returning to Hobart. Projects: - SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania (Primary). - Ecological and carbon sequestration role of mesopelagic organisms in the Southern Ocean (Supplementary). - Argo float deployments (Piggy-back). - Cloud Aerosol Precipitation Radiation Interactions eXperiment (CAPRIX) (Piggy-back). - Quantification of dust deposition to the ocean using thorium isotopes in seawater and aerosol sampling (Piggy-back). For further information please refer to the voyage documentation links. Instruments used and data collected include: Regular measurements: Lowered ADCP (LADCP), Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Greenhouse Gas Analysers (Picarro), Cloud Condensation Nuclei counter (CCN), Condensation Particle Counters (CPC), Disdrometer, Radon sensor, Scanning Mobility Particle Sizers (SMPS), CTD, Hydrochemistry, Fisheries Echosounder (EK60, EK80), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), GPS Positioning System, Doppler Velocity Log, Thermosalinographs (TSG), Fluorometer, Oxygen Optode, Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), pCO2, Gravimeter, Multiangle Absorption Photometer (MAAP), Ozone Sensor, Nephelometer, Atmospheric Temperature, Humidity, Pressure, Wind and Rain sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Starboard and Portside Radiometers, Air Sampler, Ultra Short BaseLine Underwater Positioning System (USBL), Weather Radar, Expendable Bathythermographs (XBTs). Voyage-specific measurements: Moorings, Core Argo floats, Biogeochemical (BGC) Argo floats, Continuous Plankton Recorder (CPR), Profiling Lagrangian Acoustic Optical System (PLAOS), Rectangular Midwater Trawl (RMT), Radiosonde, Cloud Radar (BASTA), Micro Rain Radar (MRR), Autonomous Surface Vehicle CO2 sensor (ASVCO2), Cloud and Aerosol Backscatter Lidar (RMAN). The archive for the IN2022_V03 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (https://data.csiro.au/), providing access to voyage participants and processors of the data collected on the voyage. All voyage documentation is available electronically to MNF support via the local network. Applications to access voyage documentation by non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.6084/m9.figshare.20044436
title: Extended Data TE Repetition Suppression

description: An .xlsx formatted table of summary data for all neurons analyzed. Data is the average firing rate 75 to 375 ms post image onset. Each cell is the average of 4 trials for the given condition, presented in pseudorandom order during a recording session. Rows are neurons, columns are conditions. <br> Data Organization: <br> Row: rows 1-32 are monkey1, neurons 1-32, tetrad1 rows 33-111 are monkey2, neurons 1-79, tetrad1 rows 112-143 are monkey1, neurons 1-32, tetrad2 rows 144-222 are monkey2, neurons 1-79, tetrad2 <br> Column: 1: prime response, neither match condition, shape1 color1 2: prime response, neither match condition, shape1 color2 3: prime response, neither match condition, shape2 color1 4: prime response, neither match condition, shape2 color2 5: prime response, shape match condition, shape1 color1 6: prime response, shape match condition, shape1 color2 7: prime response, shape match condition, shape2 color1 8: prime response, shape match condition, shape2 color2 9: prime response, color match condition, shape1 color1 10: prime response, color match condition, shape1 color2 11: prime response, color match condition, shape2 color1 12: prime response, color match condition, shape2 color2 13: prime response, both match condition, shape1 color1 14: prime response, both match condition, shape1 color2 15: prime response, both match condition, shape2 color1 16: prime response, both match condition, shape2 color2 17: probe response, neither match condition, shape1 color1 18: probe response, neither match condition, shape1 color2 19: probe response, neither match condition, shape2 color1 20: probe response, neither match condition, shape2 color2 21: probe response, shape match condition, shape1 color1 22: probe response, shape match condition, shape1 color2 23: probe response, shape match condition, shape2 color1 24: probe response, shape match condition, shape2 color2 25: probe response, color match condition, shape1 color1 26: probe response, color match condition, shape1 color2 27: probe response, color match condition, shape2 color1 28: probe response, color match condition, shape2 color2 29: probe response, both match condition, shape1 color1 30: probe response, both match condition, shape1 color2 31: probe response, both match condition, shape2 color1 32: probe response, both match condition, shape2 color2
DOI: 10.6084/m9.figshare.20044436.v1
title: Extended Data TE Repetition Suppression

description: An .xlsx formatted table of summary data for all neurons analyzed. Data is the average firing rate 75 to 375 ms post image onset. Each cell is the average of 4 trials for the given condition, presented in pseudorandom order during a recording session. Rows are neurons, columns are conditions. <br> Data Organization: <br> Row: rows 1-32 are monkey1, neurons 1-32, tetrad1 rows 33-111 are monkey2, neurons 1-79, tetrad1 rows 112-143 are monkey1, neurons 1-32, tetrad2 rows 144-222 are monkey2, neurons 1-79, tetrad2 <br> Column: 1: prime response, neither match condition, shape1 color1 2: prime response, neither match condition, shape1 color2 3: prime response, neither match condition, shape2 color1 4: prime response, neither match condition, shape2 color2 5: prime response, shape match condition, shape1 color1 6: prime response, shape match condition, shape1 color2 7: prime response, shape match condition, shape2 color1 8: prime response, shape match condition, shape2 color2 9: prime response, color match condition, shape1 color1 10: prime response, color match condition, shape1 color2 11: prime response, color match condition, shape2 color1 12: prime response, color match condition, shape2 color2 13: prime response, both match condition, shape1 color1 14: prime response, both match condition, shape1 color2 15: prime response, both match condition, shape2 color1 16: prime response, both match condition, shape2 color2 17: probe response, neither match condition, shape1 color1 18: probe response, neither match condition, shape1 color2 19: probe response, neither match condition, shape2 color1 20: probe response, neither match condition, shape2 color2 21: probe response, shape match condition, shape1 color1 22: probe response, shape match condition, shape1 color2 23: probe response, shape match condition, shape2 color1 24: probe response, shape match condition, shape2 color2 25: probe response, color match condition, shape1 color1 26: probe response, color match condition, shape1 color2 27: probe response, color match condition, shape2 color1 28: probe response, color match condition, shape2 color2 29: probe response, both match condition, shape1 color1 30: probe response, both match condition, shape1 color2 31: probe response, both match condition, shape2 color1 32: probe response, both match condition, shape2 color2