Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulación de caudales de los ríos Amacuzac y San Jerónimo en el Estado de México, México

Se analiza el comportamiento hidrologico de los caudales de las cuencas de los rios Amacuzac y San Jeronimo hasta las estaciones hidrometricas Amacuzac y Coatepequito, respectivamente, con base en la aplicacion de dos modelos hidrologicos deterministicos de arquitectura diferente: CEQUEAU (Morin y Paquet, 1995) y SSARR (USACE, 1991). La aplicacion de estos modelos se llevo a cabo en la cuenca Amacuzac y conforme a los resultados obtenidos, CEQUEAU se aplico despues a la subcuenca del rio San Jeronimo. Es importante senalar que la principal diferencia entre ambos es que CEQUEAU tiene en consideracion las distintas caracteristicas fisiograficas que componen el sistema hidrologico mediante la discretizacion espacial de la cuenca, mientras que SSARR simula procesos con base en relaciones funcionales empiricas. Los datos hidrometeorologicos utilizados provienen de las bases de datos ERIC y Bandas (lMTA, 1996a-b). Para el rio Amacuzac, los periodos de registro utilizados en la calibracion y validacion del modelo fueron de 1961 a 1975 y de 1976 a 1985 respectivamente; para el rio San Jeronimo el periodo de calibracion fue de 1965 a 1970 y el de validacion fue de 1980 a 1985. De acuerdo con los criterios utilizados para determinar la calidad de las simulaciones, los dos modelos reconstituyen los caudales medios diarios de la cuenca Amacuzac de manera satisfactoria. Sin embargo, se destaca que CEQUEAU es un modelo mas amigable, con herramientas graficas y numericas que facilitan la simulacion de caudales.
Do Personality Traits and Cultural Norms Influence Investment Decisions? The Role of Financial Literacy and Investor Overconfidence

Behavioral finance assumes that investors are irrational and several psychological factors, behavioral biases, and personality traits influence their investment decisions. Therefore, this study intends to examine how behavioral factors, such as personality traits and cultural norms, affect Pakistani investors’ decisions while considering the moderating effect of financial literacy and the mediating role of investor overconfidence. The study used PLS-SEM for statistical analysis on a final useable sample of 396 observations obtained from surveying investors based in Karachi, Lahore, and Islamabad. Our results indicate that overconfidence, extroversion, introversion, individualism and collectivism positively affect investment decisions. Further, we found that overconfidence reduces herding bias while financial literacy moderates the relationship. The empirical results also show that overconfidence mediates the association between (i) financial literacy and herding bias and (ii) financial literacy and investment decisions. Hence, we argue that investors should enhance their financial literacy to improve their investment capabilities and skills that are imperative for unique and independent investment decisions. Investors should also become financially literate for outperforming the market and not imitate other investors. Similarly, we urge policymakers to regulate and protect investors' interests by encouraging them to enhance their financial literacy.
Gaia Data Release 3 The Gaia Andromeda Photometric Survey

Context. As part of Gaia Data Release 3 ( Gaia DR3), epoch photometry has been released for 1.2 million sources centred on M31. This is a taster for Gaia Data Release 4 where all the epoch photometry will be released. Aims. In this paper, the content of the Gaia Andromeda Photometric Survey (GAPS) is described, including statistics to assess the quality of the data. Known issues with the photometry are also outlined. Methods. Methods are given to improve interpretation of the photometry, in particular, a method for error renormalisation. Also, use of correlations between the three photometric passbands allows clearer identiﬁcation of variables, and is not a ﬀ ected by false detections caused by systematic e ﬀ ects. Results. GAPS presents a unique opportunity to look at Gaia epoch photometry that has not been preselected based on variability. This allows investigations to be carried out that can be applied to the rest of the sky using the mean source results. Additionally, scientiﬁc studies of variability can be carried out on M31 and the Milky Way in general.
identity development , intelligence structure , and interests : a cross-sectional study in a group of italian adolescents during the decision-making process

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Psychology Research and Behavior Management 2015:8 239–249 Psychology Research and Behavior Management Dovepress
HUME’S LEGACY A Cognitive Science Perspective

Hume’s naturalistic approach to the study of human beings is a central part of his philosophical project (Stroud 1977; Garrett 1997). But the naturalist interpretation gives rise to an important challenge: how can we evaluate the status of Hume’s positive account? Hume offers a series of empirical claims about why we think, feel, and act as we do. In order to determine the merits of these proposals, then, we must assess them in light of our best available theories and evidence from cognitive science. How well does Hume’s experimental philosophy fare when put to this test? Does it teach us anything of lasting importance? Some naturalist interpreters are pessimistic about its prospects. Consider the stance of Barry Stroud, for example, who refuses to endorse any of Hume’s specific proposals:
Are Underground Workers More Likely to be Underground Consumers

We investigate the impact of working in the underground sector on the demand for underground commodities. Using a tax evasion model with costly information, we show that the presence of a network effect encourages underground workers to purchase underground commodities. The model is estimated using a unique Canadian microdata set for 1993. An increase in underground hours of work has a strong positive effect on the probability of purchasing underground commodities and on the level of expenditures. This relationship has a sizable effect on the impact of tax and enforcement parameters on the level of the underground economy.
The Role of Organizational Commitment and Procedural Justice in Moderating the Relationship between Budgetary Participation and Managerial Performance

The objective of this research is to identify the role of organizational commitment and procedural justice in moderating the relationship between budgetary participation and managerial performance. This research utilizes the mail survey method to collect primary data from September 2007 to mid-November 2007 by sending questionnaire forms to corporate managers involved in the budgeting process. The empirical result of this research indicates that budget participation has a positive and significant influence on managerial performance. The subsequent test finds that organizational commitment can strengthen the relation between budget participation and managerial performance. The last test shows that procedures have no influence on the relationship between budget participation and managerial performance.
Survey on fractions of Humic substances and its carbon distribution in tea soils of South India

Soil organic matter is considered as a key attribute of soil fertility and productivity because of its importance in physical, chemical as well as biological properties of soil. Most of the soil organic matter or organic carbon is formed by the biological transformation of plant and animal residues into humic substances (humic acid, fulvic acid and humin). The objective of this study was to quantify the extractable fractions of humic acid, fulvic acid and humin (humic substances) from tea soils of south India and to determine the distribution of organic carbon among them. Soil samples were collected from seven tea growing regions of south India based on different organic matter status. Humic acid, fulvic acid and humin were extracted by adopting classical method with certain modifications and organic carbon was determined in the above fractions as per standard method. The results showed that the yield of humic acid fraction was higher compared to fulvic acid fraction. Organic carbon had a positive correlation with humic acid fraction. The carbon content of humic acid fraction was higher when compared to fulvic and humin fractions. The Pearson correlation coefficient worked out between carbon content soil and humic acid fraction showed positive and significant correlation. It can be concluded from this study that the yield of humic acid fraction is positively correlated with soil organic matter and the distribution of organic carbon was higher in humic acid fraction compared to other fractions such as fulvic acid and humin which revealed that humic acid fraction plays a vital role in balancing the carbon content of tea soils in south India.
Historical Perspectives and Insights on Reactor Consequence Analyses

This paper has been prepared for use by the NRC Advisory Committee on Reactor Safeguards (ACRS) in its ongoing review of the State-Of-the-Art Reactor Consequence Analyses (SOARCA) Project. Major contributions to consequence assessment have been summarized to provide insights and historical perspectives on previous state-of-the-art analyses of the consequences of severe reactor accidents. The feasibility of using a simplified approach for updating results from earlier Level-3 probabilistic risk assessments (PRAs) such as the NUREG-1150 Study for comparison with aspects of SOARCA results has also been discussed. The views expressed in this paper are solely those of the author and do not necessarily represent the views of the ACRS.
Shared Memory vs Message Passing

his paper determines the computational strenght of the shared memory abstraction (a register) emulated over a message passing system, and compares it with fundamental message passing abstractions like consensus and various forms of reliable broadcast. We introduce the notion of Quorum failure detectors and show that this notion captures the exact amount of information about failures needed to emulate a shared memory in a distributed message passing system where processes can fail by crashing. As a corollary of our result, we determine the weakest failure detector to implement consensus in any environment, including those where half of the processes can crash. We also use our result to precisely compare the strenght of the shared memory abstraction with other distributed computing abstractions. In particular, we show that, in the general environment where up to $n-1$ processes can crash (out of the total number of processes $n$), various fundamental distributed computing abstractions, including shared memory, consensus, as well as terminating reliable broadcast, are, in a precise sense, equivalent.
Capitalizing on paradoxical activation of the MAPK pathway for treatment of Imatinib- resistant mast cell leukemia

1 Institute of Biochemistry and Molecular Immunology, Medical Faculty, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen University Medical School, Aachen, Germany. 3 Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany. 4 Department of Hematology, Oncology, Hemostaseology and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University Medical School, Aachen, Germany. 5 Department of Hematological Biology, Pitié-Salpêtrière Hospital, Pierre et Marie Curie University (UPMC), 83 Boulevard de l’Hôpital, 75013 Paris, France.
Crossing the great divide: Critiquing the sacred secular dichotomy in accounting research

Purpose – To introduce the three papers in the special section, an overflow from a recent special issue of the journal.Design/methodology/approach – Provides a brief review of the papers.Findings – The three papers focus on a common concern: the sacred secular dichotomy that has been employed in studies of accounting in religious organisations.Originality/value – This introduction focuses on papers that encourage interdisciplinary research in accounting that draws specifically on theological insights.
Evolutionary Game Theory

This is the Nash Equilibrium solution. However, an ESS can arise even when this condition is not met. If IE(D,D) = IE(H,D) and IE(D,H) > IE(H,D), then D is still an ESS. That is, while H mutants are not at a disadvantage when playing D’s, D nonetheless shares an advantage in the population because it does better against H than H does against itself. The Hawk-Dove game was originally developed by Maynard Smith and Price to describe animal conflict. Animals playing the Dove strategy (i.e., “Doves”) avoid conflict. When faced
BENCHMARKING HIERARCHICAL BAYES SMALL AREA ESTIMATORS WITH APPLICATION IN CENSUS UNDERCOVERAGE ESTIMATION

Linear mixed effects models such as the Fay-Herriot model (1979) and non-linear mixed effects models such as the unmatched area level models proposed by You and Rao (2002) have been used in small area estimation to obtain efficient model-based small area estimators. It is often desirable to benchmark the model-base d estimates so that they add up to the direct survey estimate s for large areas to protect against possible model mis-specification and possible overshrinkage. In this paper, hierarchical Bayes ( HB) unmatched area level models are considered. Posterior means and posterior variances of parameters of interest are first obtaine d using the Gibbs sampling method. Then we benchmark the HB estimators (posterior means) to obtain the benchmarked HB (BHB) estimators. Posterior mean squared error (PMSE) is then used as a measure of uncertainty for the BHB estimators. The PMSE can be represented as the sum of the usual posterior variance and a bias correction term. We evaluate the HB and the BHB estimators in the application of Canadian census undercoverage estimation. The sum of the provincial BHB census undercount estimates is equal to the direct survey estimate of the census undercount for the whole nation.
Psychometric Properties of the Brazilian Version of the Friendship Quality Questionnaire in a Community Sample of Children and Early Adolescents

El Cuestionario sobre Calidad de la Amistad (Friendship Quality Questionnaire [FQQ]) es un instrumento desarrollado para medir las percepciones de los ninos acerca de la cualidad de sus amistades. El objetivo de este estudio ha sido investigar las propiedades psicometricas del FQQ en una muestra de ninos y adolescentes de una comunidad en Brasil. 274 estudiantes de 9-13 anos de edad (M = 10.46; DE = 0.81), 52.2 % chicos, respondieron a la version brasilena del FQQ. El analisis factorial confirmatorio mostro la estructura original de seis factores del FQQ para esta muestra despues de la exclusion de un item relacionado a traicion. Con excepcion de la subescala “Conflicto”, los demas factores presentaron altas intercorrelaciones positivas. La escala total y todas las subescalas muestrearon adecuada consistencia interna. Las ninas tuvieron puntuaciones mas elevadas en la escala total y en las subescalas “Validacion y Cuidado” y “Cambios Intimos” cuando comparadas a los chicos. Nuestros resultados sugieren que el FQQ ha presentado adecuadas evidencias de validacion y confiabilidad para la medida de cualidad en la amistad de ninos y adolescentes brasilenos.
PERIPHERAL VASCULAR DISEASE Original Studies Technology Preview: X-Ray Fused With Magnetic Resonance During Invasive Cardiovascular Procedures

Background: We have developed and validated a system for real-time X-ray fused with magnetic resonance imaging, MRI (XFM), to guide catheter procedures with high spatial precision. Our implementation overlays roadmaps—MRI-derived soft-tissue features of interest—onto conventional X-ray fluoroscopy. We report our initial clinical experience applying XFM, using external fiducial markers, electrocardiogram (ECG)gating, and automated real-time correction for gantry and table movement. Methods: This prospective case series for technical development was approved by the NHLBI Institutional Review Board and included 19 subjects. Multimodality external fiducial markers were affixed to patients’ skin before MRI, which included contrast-enhanced, 3D T1weighted, or breath-held and ECG-gated 2D steady state free precession imaging at 1.5T. MRI-derived roadmaps were manually segmented while patients were transferred to a calibrated X-ray fluoroscopy system. Image spaces were registered using the fiducial markers and thereafter permitted unrestricted gantry rotation, table panning, and magnification changes. Static and ECG-gated MRI data were transformed from 3D to 2D to correspond with gantry and table position and combined with live X-ray images. Results: Clinical procedures included graft coronary arteriography, right ventricular free-wall biopsy, and iliac and femoral artery recanalization and stenting. MRI roadmaps improved operator confidence, and in the biopsy cases, outperformed the best available alternative imaging modality. Registration errors were increased when external fiducial markers were affixed to more mobile skin positions, such as over the abdomen. Conclusion: XFM using external fiducial markers is feasible during X-ray guided catheter treatments. Multimodality image fusion may prove a useful adjunct to invasive cardiovascular procedures. ' 2007 Wiley-Liss, Inc.
Research on Safety Operation and Maintenance Management and Health Status Assessment for Lithium Battery Energy Storage System

The safe operation and maintenance of lithium batteries not only needs to monitor the working status of lithium batteries timely and accurately, but also needs to evaluate its health status and automatically switch the backup battery when safety hazards are found. However, research on the safe operation and maintenance of lithium batteries is still lacking. In light of this, this paper constructs a safe operation and maintenance mechanism by monitoring the voltage and surface temperature of the lithium battery. In addition, a novel online health assessment model based on GRU-CNN is proposed to find out the potential safety hazards of lithium batteries timely. The working voltage, current and ambient temperature are used as the input features of the model to predict the degradation of lithium batteries in advance. In addition, a security operation and maintenance controller is designed to quickly switch the backup battery pack when a lithium battery pack appears to have performance degradation or security risks. The system realizes the real-time monitoring of the safe operation of lithium batteries and the rapid assessment of health status, providing technical guarantees for the reliable, stable, and safe operation of the lithium battery system. The experimental comparison verified that the proposed assessment model of the status of health (SOH for short) has less prediction error.
Numerical study on wave-induced drift forces and motions of a DTC ship in head and oblique waves using functional decomposition model

It is imperative to investigate the adequacy of propulsion power and steering mechanisms in order to maintain the manoeuvrability of ships in adverse wave conditions, as the drift forces caused by wave can result in deviation from the desired course. The primary objective of this research is to develop a hybrid approach, combining potential and viscous flows, known as SWENSE (Spectral Wave Explicit Navier-Stokes Equations), to accurately assess the wave-induced drift forces and motions experienced by ships in waves. SWENSE is a hybrid approach based on the functional decomposition model, in which the total field is composed of the incident field and complementary field. In this study, the incident filed waves are calculated by the Airy wave theory and the complementary field is solved by the SWENSE model. The wave conditions are selected according to the benchmark cases of the European Union research project SHOPERA (Energy Efficient Safe Ship Operation). The wave-induced loads and motions of DTC in head and oblique waves are calculated. Results of CFD (Computational Fluid Dynamics) are compared with those of EFD (Experimental Fluid Dynamics) and other numerical methods. In addition, the wave-induced drift forces of the fixed/3DOF (Degrees of Freedom) ships are compared with each other (3DOF includes heave, roll and pitch). SWENSE model is proven to be reliable for the predictions of the wave-induced drift forces and motions of ships in waves.
Identifying Parameters of Reactor Operation Digital Twin by Using Swarm and Evolutionary Algorithms

Digital twin (DT) technology is currently gaining popularity in a variety of industrial applications. Recently, the China Institute of Nuclear Power proposed a data driven by nuclear reactor digital twin. The digital twin solves the forward problem for physical field simulation and the inverse problem for parameter identification. The inverse problem can be viewed as a black-box optimization problem where the input parameters are identified by the Latin hypercube sampling (LHS) method based on a given partial observation. While LHS is relatively naive, in this paper, we proposed to apply swarm and evolutionary algorithms to solve the inverse problem. Specifically, we present an experimental comparative study for LHS and four popular SEAs, Particle Swarm Optimizer (PSO), Differential Evolution (DE), Evolutionary Strategy (ES), and evolution strategy with covariance matrix adaptation (CMA-ES). The results show that, for this inverse problem, SEAs are more accurate and efficient than LHS. We also investigate the comparative optimization algorithm’s searching capability under the conditions of noisy observations and no initial input parameter guesses. The experimental results show that DE and CMA-ES have strong robustness and high searching ability.
Preparation and Performance Study of Low Surface Energy Anti-Icing Coating for Transmission Lines

A low surface energy transmission line coating material is prepared and analyzed in this paper. Firstly, the super hydrophobic coating was developed and lubricated to obtain the super slip surface coating. Then, the resulting anti-ice coating was subjected to anti-ice performance tests and ice adhesion strength tests, respectively. Finally, the obtained results were analyzed. The results show that the developed anti-ice coating can greatly reduce the amount of ice covering, reduce the ice side force, and solve the problem of icing on transmission lines at low temperatures.