cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11930229.v1
title: Assessment of sleep quality of patients with panic disorder and generalized anxiety disorder during remission: a case-control study

description: Abstract Background Sleep disorders are common in psychiatric diseases. Panic disorder (PD) and generalized anxiety disorder (GAD) are two major anxiety disorders that are associated with sleep disorders. Objective We hypothesized that poor sleep quality continues in PD and GAD during remission. Therefore, in this study we aimed to compare the sleep quality of patients with PD and GAD to that of healthy controls. Methods The study included patients with PD (n = 42) and GAD (n = 40) who had been in remission for at least 3 months and healthy control volunteers (n = 45). The patients were administered the Pittsburgh Sleep Quality Index (PSQI), Beck Anxiety Inventory (BAI), and Beck Depression Inventory (BDI). Results The total PSQI scores of the GAD group were significantly increased in comparison to those of the PD (p = 0.009) and control (p &lt; 0.001) groups. The rate of poor sleep quality in GAD during remission (77.5%) was greater than that of the PD (47.6%) and control (51.1%) groups (p = 0.011). Discussion GAD is a chronic and recurrent disease. In this study, it was found that the deterioration in sleep quality of patients with GAD may continue during remission. In the follow-up and treatment of patients, it is appropriate to question about sleep symptoms and to plan interventions according to these symptoms.
DOI: 10.6073/pasta/a34098c5e7bf42db8cf3c129babb3089
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 2 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-2 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.19967698
title: SELECTING PROFILES OF IN DEBT CLIENTS OF A BRAZILIAN TELEPHONE COMPANY: NEW LASSO AND ADAPTIVE LASSO ALGORITHMS IN THE COX MODEL

description: Variable selection plays an important rule in identifying possible factors that could predict the behavior of clients with respect to the bill payments. The Cox model is the standard approach for modeling the time until starting the lack of payments. Parsimony and capacity of predicting are some desirable characteristics of statistical models. This paper aims at proposing a new forward stagewise Lasso (least absolute shrinkage and selection operator) algorithm and applying it for variable selection in the Cox model. The algorithm can be easily extended to run the Adaptive Lasso (ALasso) approach.
DOI: 10.6084/m9.figshare.19967698.v1
title: SELECTING PROFILES OF IN DEBT CLIENTS OF A BRAZILIAN TELEPHONE COMPANY: NEW LASSO AND ADAPTIVE LASSO ALGORITHMS IN THE COX MODEL

description: Variable selection plays an important rule in identifying possible factors that could predict the behavior of clients with respect to the bill payments. The Cox model is the standard approach for modeling the time until starting the lack of payments. Parsimony and capacity of predicting are some desirable characteristics of statistical models. This paper aims at proposing a new forward stagewise Lasso (least absolute shrinkage and selection operator) algorithm and applying it for variable selection in the Cox model. The algorithm can be easily extended to run the Adaptive Lasso (ALasso) approach.
DOI: 10.6084/m9.figshare.19967701.v1
title: THE MULTIPLE CHOICE PROBLEM WITH INTERACTIONS BETWEEN CRITERIA

description: ABSTRACT An important problem in Multi-Criteria Decision Analysis arises when one must select at least two alternatives at the same time. This can be denoted as a multiple choice problem. In other words, instead of evaluating each of the alternatives separately, they must be combined into groups of n alternatives, where n = 2. When the multiple choice problem must be solved under multiple criteria, the result is a multi-criteria, multiple choice problem. In this paper, it is shown through examples how this problemcan be tackled on a bipolar scale. The Choquet integral is used in this paper to take care of interactions between criteria. A numerical application example is conducted using data from SEBRAE-RJ, a non-profit private organization that has the mission of promoting competitiveness, sustainable developmentand entrepreneurship in the state of Rio de Janeiro, Brazil. The paper closes with suggestions for future research.
DOI: 10.6084/m9.figshare.19967701
title: THE MULTIPLE CHOICE PROBLEM WITH INTERACTIONS BETWEEN CRITERIA

description: ABSTRACT An important problem in Multi-Criteria Decision Analysis arises when one must select at least two alternatives at the same time. This can be denoted as a multiple choice problem. In other words, instead of evaluating each of the alternatives separately, they must be combined into groups of n alternatives, where n = 2. When the multiple choice problem must be solved under multiple criteria, the result is a multi-criteria, multiple choice problem. In this paper, it is shown through examples how this problemcan be tackled on a bipolar scale. The Choquet integral is used in this paper to take care of interactions between criteria. A numerical application example is conducted using data from SEBRAE-RJ, a non-profit private organization that has the mission of promoting competitiveness, sustainable developmentand entrepreneurship in the state of Rio de Janeiro, Brazil. The paper closes with suggestions for future research.
DOI: 10.6084/m9.figshare.19967704
title: METAHEURISTICS EVALUATION: A PROPOSAL FOR A MULTICRITERIA METHODOLOGY

description: ABSTRACT In this work we propose a multicriteria evaluation scheme for heuristic algorithms based on the classic Condorcet ranking technique. Weights are associated to the ranking of an algorithm among a set being object of comparison. We used five criteria and a function on the set of natural numbers to create a ranking. The discussed comparison involves three well-known problems of combinatorial optimization - Traveling Salesperson Problem (TSP), Capacitated Vehicle Routing Problem (CVRP) and Quadratic Assignment Problem (QAP). The tested instances came from public libraries. Each algorithm was used with essentially the same structure, the same local search was applied and the initial solutions were similarly built. It is important to note that the work does not make proposals involving algorithms: the results for the three problems are shown only to illustrate the operation of the evaluation technique. Four metaheuristics - GRASP, Tabu Search, ILS and VNS - are therefore only used for the comparisons.
DOI: 10.6084/m9.figshare.19967704.v1
title: METAHEURISTICS EVALUATION: A PROPOSAL FOR A MULTICRITERIA METHODOLOGY

description: ABSTRACT In this work we propose a multicriteria evaluation scheme for heuristic algorithms based on the classic Condorcet ranking technique. Weights are associated to the ranking of an algorithm among a set being object of comparison. We used five criteria and a function on the set of natural numbers to create a ranking. The discussed comparison involves three well-known problems of combinatorial optimization - Traveling Salesperson Problem (TSP), Capacitated Vehicle Routing Problem (CVRP) and Quadratic Assignment Problem (QAP). The tested instances came from public libraries. Each algorithm was used with essentially the same structure, the same local search was applied and the initial solutions were similarly built. It is important to note that the work does not make proposals involving algorithms: the results for the three problems are shown only to illustrate the operation of the evaluation technique. Four metaheuristics - GRASP, Tabu Search, ILS and VNS - are therefore only used for the comparisons.
DOI: 10.6084/m9.figshare.19967703.v1
title: GRAPH PROPERTIES OF MINIMIZATION OF OPEN STACKS PROBLEMS AND A NEW INTEGER PROGRAMMING MODEL

description: The Minimization of Open Stacks Problem (MOSP) is a Pattern Sequencing Problem that often arises in industry. Besides the MOSP, there are also other related Pattern Sequencing Problems of similar relevance. In this paper, we show that each feasible solution to the MOSP results from an ordering of the vertices of a graph that defines the instance to solve, and that the MOSP can be seen as an edge completion problem that renders that graph an interval graph. We review concepts from graph theory, in particular related to interval graphs, comparability graphs and chordal graphs, to provide insight to the structural properties of the admissible solutions of Pattern Sequencing Problems. Then, using Olariu'scharacterization and other structural properties of interval graphs, we derive an integer programming model for the MOSP. Some computational results for the model are presented.
DOI: 10.6084/m9.figshare.19967707
title: A NEW MATHEMATICAL MODEL FOR THE WORKOVER RIG SCHEDULING PROBLEM

description: ABSTRACT One of the most important activities in the oil and gas industry is the intervention in wellsfor maintenance services, which is necessary to ensure the constant production of oil. These interventions are carried out by workover rigs. Thus, the Workover Rig Scheduling Problem (WRSP) consists of finding the best schedule to service the wells while considering the limited number of rigs with the objective of minimizing the total production loss. In this study, a 0-1 integer linear programming model capable of efficiently solving the WRSP with a homogeneous fleet of rigs is proposed. Computational experiments were carried out using instances based on real cases in Brazil to compare the results obtained by the proposed model with the results reported by other methods. The proposed model was capable of solving all instances considered in a reduced computational time, including the large instances for which only approximatesolutions were presently known.
DOI: 10.6084/m9.figshare.19967703
title: GRAPH PROPERTIES OF MINIMIZATION OF OPEN STACKS PROBLEMS AND A NEW INTEGER PROGRAMMING MODEL

description: The Minimization of Open Stacks Problem (MOSP) is a Pattern Sequencing Problem that often arises in industry. Besides the MOSP, there are also other related Pattern Sequencing Problems of similar relevance. In this paper, we show that each feasible solution to the MOSP results from an ordering of the vertices of a graph that defines the instance to solve, and that the MOSP can be seen as an edge completion problem that renders that graph an interval graph. We review concepts from graph theory, in particular related to interval graphs, comparability graphs and chordal graphs, to provide insight to the structural properties of the admissible solutions of Pattern Sequencing Problems. Then, using Olariu'scharacterization and other structural properties of interval graphs, we derive an integer programming model for the MOSP. Some computational results for the model are presented.
DOI: 10.6084/m9.figshare.19967707.v1
title: A NEW MATHEMATICAL MODEL FOR THE WORKOVER RIG SCHEDULING PROBLEM

description: ABSTRACT One of the most important activities in the oil and gas industry is the intervention in wellsfor maintenance services, which is necessary to ensure the constant production of oil. These interventions are carried out by workover rigs. Thus, the Workover Rig Scheduling Problem (WRSP) consists of finding the best schedule to service the wells while considering the limited number of rigs with the objective of minimizing the total production loss. In this study, a 0-1 integer linear programming model capable of efficiently solving the WRSP with a homogeneous fleet of rigs is proposed. Computational experiments were carried out using instances based on real cases in Brazil to compare the results obtained by the proposed model with the results reported by other methods. The proposed model was capable of solving all instances considered in a reduced computational time, including the large instances for which only approximatesolutions were presently known.
DOI: 10.6084/m9.figshare.19967709
title: CONSIDERATIONS REGARDING THE CHOICE OF RANKING MULTIPLE CRITERIA DECISION MAKING METHODS

description: ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been proposed to assist decision makers in the process of ranking alternatives. Given the variability of available methods, choosing an MCDM ranking method is a difficult task. There are key factors in the process of choosing an MCDM method such as: (i) available time; (ii) effort required by a given approach; (iii) importance of accuracy; (iv) transparency necessity; (v) conflict minimization necessity; and (vi) facilitator's skill with the method. However, the problem is further increased by the knowledge that the solution of MCDM ranking methods may be sensitive to slight variations in entrance data and, in some cases, might replace the best alternative for the worst when the weightings for the criteria are changed. Some researchers have addressed this problem through different approaches, including the evaluation of MCDM ranking methods in the sense of predicting the initial rankings given by the decision maker. The objective of this study is to propose an empirical experiment to evaluate the propensity for initial ranking prediction of the principal MCDM ranking methods, namely: SAW, TOPSIS, ELECTRE III, PROMETHEE II and TODIM. The study also aimed to assess possible common ranking problems in MCDM methods, such as reversibility, found in the literature. It was found that just up to 20% of initial ranking order was predicted entirely correct by some of the methods. It was also found that just a few methods did not present internal ranking inconsistency. The results of this study and those found in the literature give a warning regarding the choice of MCDM ranking methods. It is suggested that special care must be taken in the choice of methods and, besides axiomatic comparisons, ranking comparisons could be a useful way to enhance the decision making process, since MCDM methods are tools for learning about the problem and do not prescribe solutions.
DOI: 10.6084/m9.figshare.19967709.v1
title: CONSIDERATIONS REGARDING THE CHOICE OF RANKING MULTIPLE CRITERIA DECISION MAKING METHODS

description: ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been proposed to assist decision makers in the process of ranking alternatives. Given the variability of available methods, choosing an MCDM ranking method is a difficult task. There are key factors in the process of choosing an MCDM method such as: (i) available time; (ii) effort required by a given approach; (iii) importance of accuracy; (iv) transparency necessity; (v) conflict minimization necessity; and (vi) facilitator's skill with the method. However, the problem is further increased by the knowledge that the solution of MCDM ranking methods may be sensitive to slight variations in entrance data and, in some cases, might replace the best alternative for the worst when the weightings for the criteria are changed. Some researchers have addressed this problem through different approaches, including the evaluation of MCDM ranking methods in the sense of predicting the initial rankings given by the decision maker. The objective of this study is to propose an empirical experiment to evaluate the propensity for initial ranking prediction of the principal MCDM ranking methods, namely: SAW, TOPSIS, ELECTRE III, PROMETHEE II and TODIM. The study also aimed to assess possible common ranking problems in MCDM methods, such as reversibility, found in the literature. It was found that just up to 20% of initial ranking order was predicted entirely correct by some of the methods. It was also found that just a few methods did not present internal ranking inconsistency. The results of this study and those found in the literature give a warning regarding the choice of MCDM ranking methods. It is suggested that special care must be taken in the choice of methods and, besides axiomatic comparisons, ranking comparisons could be a useful way to enhance the decision making process, since MCDM methods are tools for learning about the problem and do not prescribe solutions.
DOI: 10.6084/m9.figshare.19967710.v1
title: EMPIRICAL COMPARISON OF THE MULTIDIMENSIONAL MODELS OF ITEM RESPONSE THEORY IN E-COMMERCE

description: ABSTRACT The measurement of latent traits within the organizational field such as quality, effectiveness and learning has been conducted in several formats using a wide variety of quantitative methods, including Item Response Theory that consistently increased in organizational studies. The purpose of this article is to compare the hierarchical and non-hierarchical structures of three multidimensional models of ItemResponse Theory, based on the interface quality measurement in e-commerce sites. We compared the multiple unidimensional, compensatory multidimensional and bifactorial models, and also elaborated and applied 75 items in a sample of 441 e-commerce websites. As a result, we conducted a discussion of the latent construct, the quality in e-commerce and its multidimensional configuration to adjust and compare three multidimensional models.
DOI: 10.6084/m9.figshare.19967710
title: EMPIRICAL COMPARISON OF THE MULTIDIMENSIONAL MODELS OF ITEM RESPONSE THEORY IN E-COMMERCE

description: ABSTRACT The measurement of latent traits within the organizational field such as quality, effectiveness and learning has been conducted in several formats using a wide variety of quantitative methods, including Item Response Theory that consistently increased in organizational studies. The purpose of this article is to compare the hierarchical and non-hierarchical structures of three multidimensional models of ItemResponse Theory, based on the interface quality measurement in e-commerce sites. We compared the multiple unidimensional, compensatory multidimensional and bifactorial models, and also elaborated and applied 75 items in a sample of 441 e-commerce websites. As a result, we conducted a discussion of the latent construct, the quality in e-commerce and its multidimensional configuration to adjust and compare three multidimensional models.
DOI: 10.6084/m9.figshare.19967712
title: A NON-ARCHIMEDEAN DEA MODEL TO ASSESS GROUP COMPARISONS

description: ABSTRACT We consider the use of the non-Archimedean infinitesimal epsilon in DEA-CCR models. The application of interest is defined by the performance measure of the Brazilian Agricultural Research Corporation research centers. We characterize an assurance region for the non-Archimedean element and suggest a value for it. Types of DMUs are compared using fractional regression models and quasi maximum likelihood inference. We conclude that the research centers aimed at studying specific agricultural products are dominant. The classic DEA-CCR performance measures and the solution provided by non-Archimedean model have Spearman correlation over 90%.
DOI: 10.6084/m9.figshare.19967712.v1
title: A NON-ARCHIMEDEAN DEA MODEL TO ASSESS GROUP COMPARISONS

description: ABSTRACT We consider the use of the non-Archimedean infinitesimal epsilon in DEA-CCR models. The application of interest is defined by the performance measure of the Brazilian Agricultural Research Corporation research centers. We characterize an assurance region for the non-Archimedean element and suggest a value for it. Types of DMUs are compared using fractional regression models and quasi maximum likelihood inference. We conclude that the research centers aimed at studying specific agricultural products are dominant. The classic DEA-CCR performance measures and the solution provided by non-Archimedean model have Spearman correlation over 90%.
DOI: 10.6084/m9.figshare.19967715
title: INTRODUCING A CAUSAL PAR( p ) MODEL TO EVALUATE THE INFLUENCE OF CLIMATE VARIABLES IN RESERVOIR INFLOWS: A BRAZILIAN CASE

description: ABSTRACT The Brazilian electricity energy matrix is essentially formed by hydraulic sources which currently account for 70% of the installed capacity. One of the most important characteristics of a generation system with hydro predominance is the strong dependence on the inflow regimes. Nowadays, the Brazilian power sector uses the PAR(p) model to generate scenarios for hydrological inflows. This approach does not consider any exogenous information that may affect hydrological regimes. The main objective of this paper is to infer on the influence of climatic events in water inflows as a way to improve the model’s performance. The proposed model is called “causal PAR(p)” and considers exogenous variables, such as El Niño and Sunspots, to generate scenarios for some Brazilian reservoirs. The result shows that the error measures decrease approximately 3%. This improvement indicates that the inclusion of climate variables to model and simulate the inflows time series is a valid exercise and should be taken into consideration.
DOI: 10.6084/m9.figshare.19967715.v1
title: INTRODUCING A CAUSAL PAR( p ) MODEL TO EVALUATE THE INFLUENCE OF CLIMATE VARIABLES IN RESERVOIR INFLOWS: A BRAZILIAN CASE

description: ABSTRACT The Brazilian electricity energy matrix is essentially formed by hydraulic sources which currently account for 70% of the installed capacity. One of the most important characteristics of a generation system with hydro predominance is the strong dependence on the inflow regimes. Nowadays, the Brazilian power sector uses the PAR(p) model to generate scenarios for hydrological inflows. This approach does not consider any exogenous information that may affect hydrological regimes. The main objective of this paper is to infer on the influence of climatic events in water inflows as a way to improve the model’s performance. The proposed model is called “causal PAR(p)” and considers exogenous variables, such as El Niño and Sunspots, to generate scenarios for some Brazilian reservoirs. The result shows that the error measures decrease approximately 3%. This improvement indicates that the inclusion of climate variables to model and simulate the inflows time series is a valid exercise and should be taken into consideration.
DOI: 10.7302/dbfp-s644
title: Repository of current meter archive data used in Luecke et al. 2020 Journal of Geophysical Research Oceans paper

description: The locations ("locs") files in this directory contain indices pointing to the locations in the CMA superset datafiles that were used in the Luecke et al. 2020 comparison of HYCOM and MITgcm model output to CMA observations.
description: The current meter archive (CMA) data shown here is a superset of the CMA data used in Luecke et al. 2020, and is a quality-controlled subset of the larger CMA dataset created by Rob Scott.  See Luecke et al. 2020, especially Section 2.1, for a more precise description of the history and quality control methods.