Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of couple patterns of problem solving on distress and nondistress in dating relationships.

A theory of couple patterns of problem solving that involves the Rusbult and Zembrodt (1983) exitvoice-loyalty-neglect typology of problem-solving responses is advanced and tested in a sample of dating relationships. Destructive problem-solving responses (exit and neglect) were more powerfully predictive of couple distress/nondistress than were constructive problem-solving behaviors (voice and loyalty). Tendencies to react with voice to mild relationship problems were also signihcantly predictive of couple functioning. Partner perceptions of one another's problem-solving styles were also related to couple distress/nondistress: Distress was greater to the extent that individuals perceived that their partners exhibit greater tendencies to engage in exit and neglect while showing lower levels of voice and (perhaps) loyalty. Certain interdependent patterns of partner problem solving were effectively predictive of couple health: Couple distress was greater to the degree that individuals reacted destructively and failed to respond constructively when their partners engage in destructive problem-solving responses. Reactions to partners' constructive responses were less effectively predictive of couple functioning. Thus it is the way in which partners react in response to destructive behaviors from their partners that is best predictive of relationship health. Lastly, in comparison with men, women engage in somewhat higher levels of voice and loyalty, and may behave less neglectfully.
Consumer’s choice on GM labeling: evidences from China

With the development of the biotechnology, more and more GM foods enter the food chain of the mankind. What are the consumers’ attitudes toward those foods? And what are their requirements for safety management derived from the emerging of those foods? By conducting a survey in Wuhan with a sample of 621 correspondents, the study collects the correspondents’ attitudes on GM foods and expectations on safety managements for those foods, and analyses impacts of consumers’ general preferences, specific perceptions on GM foods, and the special labeling usage behavior both on the attitudes formation in GM labeling and on the labeling choices using MNL models. The paper further proposes some suggestions in GM foods safety management based on the modeling results.
Stock Market Development and Economic Growth: Evidence from the European Union

The paper examines the causal relation between the stock markets development and economic growth in the EU countries. In particular, the nature and causality direction is investigated. Panel data techniques including cointegration tests, vector error correction models and Granger causality tests were applied to indicate the nature and direction of causality. Long‑run effects of the economic growth upon stock market development was detected in the sample of the Euro area member countries. In addition, the short‑run mutual relations between growth and stock markets were indicated in that country‑sample. In the non‑Euro area countries, only short‑run impact of the stock market development upon economic growth was found. The empirical findings bring up implications for macroeconomic stabilization and development policies. The indicated relations also play a role in predicting economic growth and stock markets’ development.
Farmers' participation in European agri-environmental policies

L'article examine les determinants de la participation des agriculteurs a differents programmes agri-environnementaux. L'utilisation d'un modele logit multinomial, permet a la fois d'expliquer la participation a un programme particulier, et la participation a plusieurs programmes simultanement. Les donnees de premiere main proviennent d'une enquete realisee dans huit pays de l'Union europeenne aupres d'agriculteurs participants ou non a ces programmes. Elles decrivent aussi bien les caracteristiques des exploitations agricoles que celles du chef d'exploitation, utilisees comme variables explicatives de la participation. Trois types de programmes sont distingues : ceux visant la protection du paysage, ceux visant la biodiversite et ceux visant la reduction des externalites negatives de l'agriculture intensive. Ces trois types de programmes correspondent donc a huit combinaisons, depuis l'absence de participation jusqu'a la participation simultanee aux trois types de programmes, pouvant etre choisies par les agriculteurs eligibles. L'estimation du modele confirme l'effet differencie de la plupart des variables explicatives selon les combinaisons de programmes. De plus l'analyse montre l'interet pour les pouvoirs publics de prendre en compte la participation simultanee, due a des jointures de production entre les differents services environnementaux vises, car elle est la source a la fois de benefices prives et de benefices publics.
Extreme Rainfall Events over the Amazon Basin Produce Significant Quantities of Rain Relative to the Rainfall Climatology

Although much effort has been made to characterize and understand extreme rainfall’s causes and effects, little is known about their frequency and intensity. Moreover, knowledge about their contribution to the total rainfall climatology is still minimal, especially over the Amazon where rainfall data are very scarce. In this paper we propose to classify extreme rainfall events by type and analyze their frequency and intensity over South America with a focus on the Amazon basin. Gridded daily data from the MERGE/CPTEC product over a period of 15 years (1998–2013) was used. An adaptation of Rx5d climate index was applied to select different kinds of extreme rainfall for the purpose of quantifying their frequency and intensity as well as their contribution to the accumulated rainfall climatology. According to the results, all kinds of extreme rainfall events can be observed over the studied area. However, the quantity of rainfall produced by each type is different, and consequently their percent contributions to the total accumulated rainfall climatology also differ. For example: in the Amazon region EET-I is responsible for 15% - 40% of the total accumulated rainfall. Moreover, in the Brazilian northeast there are regions where EET-I exceeds 40% of the total rainfall. In northeast Brazil EET-II is responsible up to 30% of the total accumulated rainfall. EET-III is responsible for 5% - 15% in the Amazon basin, 25% - 45% in northeast Brazil and 10% - 45% over Roraima State. Area-mean time variation shows that the quantity of rainfall extremes over the Amazon basin was reduced during the El Nino years of 2002, 2005, 2007 and 2010, while during the La Ni? a episodes of 1999, 2008 and 2011 the quantity of rainfall related to the extremes increased.
Calculation of absorbed dose in radiotherapy by solution of the linear Boltzmann transport equations

Over the last decade, dose calculations which solve the linear Boltzmann transport equations have been introduced into clinical practice and are now in widespread use. However, knowledge in the radiotherapy community concerning the details of their function is limited. This review gives a general description of the linear Boltzmann transport equations as applied to calculation of absorbed dose in clinical radiotherapy. The aim is to elucidate the principles of the method, rather than to describe a particular implementation. The literature on the performance of typical algorithms is then reviewed, in many cases with reference to Monte Carlo simulations. The review is completed with an overview of the emerging applications in the important area of MR-guided radiotherapy.
The Communicative Ability of Universiti Teknologi MARA Sarawak’s Graduates

This study explores Universiti Teknologi MARA (UiTM) Sarawak graduating students’ oral proficiency, focusing on grammatical accuracy. Oral proficiency in English has always been the benchmark of language proficiency, and in the context of UiTM’s language teaching curriculum, efforts to enhance students’ oral proficiency are implemented through various languages proficiency-based and ESP courses. A small corpus of group discussions was analysed to identify and classify grammatical errors and other performance factors in students’ oral communication. The analysis was carried out using text analysis software used in corpus linguistics (Dagneaux et al, 1998, Scott, 1996). The software was used to classify grammatical errors into general categories such as grammar, word, lexical, formal, style, lexico grammar and register. It was found that the students who took part in group discussions displayed frequent lexical, grammatical and formal errors. Also there was much evidence of performance phenomena such as hesitation, repetitions, incomplete structures and redundancy. This provides evidence that, despite many years of ESL input, some UiTM graduating students still seem to require a great deal of practice with basic grammatical structures. The practical implications derived from the findings of the study suggest that teachers and curriculum developers ought to help students develop their proficiency in English language learning by giving them ample opportunity to use, produce and practice English language structures or sentences through simulated situations in various immersion activities in class and outside the classroom as well as introducing consciousness-raising techniques to sensitise learners to the various forms and meanings of structures used in everyday conversation in English.
Flow around a three-dimensional bluff body

Large Eddy Simulation (LES) is used to compute the flow around a sharp-edged surface-mounted cube. Different visualization techniques were used, and the results of these are presented. Since Large Eddy Simulation is a time-dependent three-dimensional numerical technique, it allows visualization that is unattainable in RANS (Reynolds Averaged Navier Stokes) methods or experiments.
A Time-Critical Investigation of Parameter Tuning in Differential Evolution for Non-Linear Global Optimization

Parameter searching is one of the most important aspects in getting favorable results in optimization problems. It is even more important if the optimization problems are limited by time constraints. In a limited time constraint problems, it is crucial for any algorithms to get the best results or near-optimum results. In a previous study, Differential Evolution (DE) has been found as one of the best performing algorithms under time constraints. As this has help in answering which algorithm that yields results that are near-optimum under a limited time constraint. Hence to further enhance the performance of DE under time constraint evaluation, a throughout parameter searching for population size, mutation constant and f constant have been carried out. CEC 2015 Global Optimization Competition’s 15 scalable test problems are used as test suite for this study. In the previous study the same test suits has been used and the results from DE will be use as the benchmark for this study since it shows the best results among the previous tested algorithms. Eight different populations size are used and they are 10, 30, 50, 100, 150, 200, 300, and 500. Each of these populations size will run with mutation constant of 0.1 until 0.9 and from 0.1 until 0.9. It was found that population size 100, Cr = 0.9, F=0.5 outperform the benchmark results. It is also observed from the results that good higher Cr around 0.8 and 0.9 with low F around 0.3 to 0.4 yields good results for DE under time constraints evaluation
All Things Considered: The Interaction of the Reasons for the Financial Crisis

The present paper reviews the causes that led to the financial crisis. Unlike other interpretations, this paper does not place main significance on a single source or on a set of causes. I consider all major standpoints highlighted by research and media prior, during and after the financial market turmoil in 2007. When evidence permits, reasons are validated and their potential consequences are reviewed by means of reductio ad absurdum, specifically by proof by contradiction. This analysis proposes arguments that are in favor and against a specific source whenever applicable, so as to address each cause’s major implications and deterrents. Ultimately, this analysis reveals through graph theory the interconnections among the analyzed sources for the crisis and their forbearance as a cluster that projected the final downturn.
Modification of Air Filter Media with Nylon-6 Nanofibers

Nylon-6 fibers with average diameters below 500 nm were electrospun onto conventional air filter media at varying weight coverage levels using a multi-nozzle bank. The initial filtration efficiency of the air filter media was improved significantly with increasing coverage level and decreasing size of nylon-6 fibers. Nylon-6 fibers were very durable on the air filter media at the coverage level of 0.1 g/m2 due to the good adhesion with the air filter fibers. The production efficiency of the coated air filter media could be increased by using more nozzle banks for electrospinning without affecting the initial filtration efficiency of the air filter media significantly.
Conditional Oscillation of Half-Linear Differential Equations with Coefficients Having Mean Values

We prove that the existence of the mean values of coefficients is sufficient for second-order half-linear Euler-type differential equations to be conditionally oscillatory. We explicitly find an oscillation constant even for the considered equations whose coefficients can change sign. Our results cover known results concerning periodic and almost periodic positive coefficients and extend them to larger classes of equations. We give examples and corollaries which illustrate cases that our results solve. We also mention an application of the presented results in the theory of partial differential equations.
Atomic decompositions for operators in reproducing kernel Hilbert spaces

In this paper, we give some results concerning atomic decompositions for operators on reproducing kernel Hilbert spaces, using frame theory techniques. We provide also generalizations for atomic decompositions of some theorems for reproducing kernel Hilbert spaces. In particular, we obtain atomic decomposition results for operators on Bergman spaces and Fock spaces in a simple manner.
Rotary oscillations of a micropolar fluid sphere in a bounded medium

The present study examines the axisymmetric rotary oscillation of a micropolar fluid sphere in concentric spherical cavity filled with Newtonian viscous fluid. A continuity of velocity components and stress together with the spin vorticity relation are used at the interface between fluid-fluid regions. The torque exerted on the micropolar fluid sphere is obtained analytically and the real and imaginary torque coefficients are presented graphically. The effect of the micropolarity parameter, viscosity ratio and spin parameter on the torque are studied numerically. In the limiting cases, the torque acting on the rotating micropolar fluid sphere and solid sphere in concentric spherical cavity are obtained from the present analysis.
A GENETIC ALGORITHM APPROACH TO FEATURE SELECTION FOR COMPUTER AIDED DETECTION OF LUNG NODULES

A GENETIC ALGORITHM APPROACH TO FEATURE SELECTION FOR COMPUTER AIDED DETECTION OF LUNG NODULES Name: Sprague, Matthew J. University of Dayton Advisor: Dr. Russell C. Hardie Lung cancer is responsible for the majority of cancer related deaths in the United States. One way to improve the chance of survival is early detection of Lung Nodules. Lung nodules are small, spherical, potentially cancerous growths within the lung. Several Computer Aided Detection (CAD) systems have been developed to aid in the detection of lung nodules both in computed tomography (CT) and chest radiograph scans. To increase performance and reduce the number of false positives, or misclassifications, in the detection, a feature selection technique is often applied to CAD systems. Feature selection is a method of selecting an optimal subset of features from all features calculated. In this case, a feature is defined as a quantitative characteristic calculated for a potential lung nodule directly from the input scan. Examples of simple features calculated for CAD systems include size, brightness, and shape of potential lung nodules. Common algorithms for feature selection include genetic algorithms and sequential forward selection. This paper proposes a genetic algorithm approach to feature selection for lung nodule CAD systems. Using existing CAD systems with our new feature selection technique, performance is evaluated on both CT scans using the LIDC-IDRI dataset as well as Chest Radiograph scans using the JRST dataset. A total number of 503 features iii are evaluated for the CT CAD system and 117 features for chest radiographs. Both classification systems utilize the Fisher Linear Discriminant (FLD) classifier. A composite GA fitness function is implemented capable of minimizing the number of false positives in addition to the size of the subset selected. Experimental results indicate that for CAD systems employing a high number of features, a genetic algorithm approach is superior compared to sequential forward selection in both Computed Tomography and Chest Radiography CAD systems.
Similar Neural Correlates of Planning and Execution to Inhibit Continuing Actions

Inhibition of action is involved in stopping a movement, as well as terminating unnecessary movement during performance of a behavior. The inhibition of single actions, known as response inhibition (Inhibition of the urge to respond before or after actions) has been widely investigated using the go/no-go task and stop signal task. However, few studies focused on phase and volition-related inhibition after an action has been initiated. Here, we used functional magnetic resonance imaging (fMRI) to investigate the neural correlates of planning and execution underlying the voluntary inhibition of ongoing action. We collected fMRI data while participants performed a continuous finger-tapping task involving voluntary and involuntary (externally directed) inhibition, and during the initiation of movement. The results revealed areas of significantly greater activation during the preparation of inhibition of an ongoing action during voluntary inhibition, compared with involuntary inhibition, in the supplementary (SMA) and pre-supplementary motor areas, dorsolateral prefrontal cortex, inferior frontal gyrus (IFG), inferior parietal lobe, bilateral globus pallidus/putamen, bilateral insula and premotor cortex. Focusing on the period of execution of inhibition of ongoing actions, an event-related fMRI analysis revealed significant activation in the SMA, middle cingulate cortex, bilateral insula, right IFG and inferior parietal cortex. Additional comparative analyses suggested that brain activation while participants were planning to inhibit an ongoing action was similar to that during planning to start an action, indicating that the same neural substrates of motor planning may be recruited even when an action is ongoing. The present finding that brain activation associated with inhibiting ongoing actions was compatible with that seen in response inhibition (urge to stop before/after actions) suggests that common inhibitory mechanisms for motor movement are involved in both actual and planned motor action, which makes our behavior keep going seamlessly.
Distensional Mediterranean and World Orogens - Their Possible Bearing to Mega-Dykes Active Rising

An overview of the modern progresses of the expanding Earth conceptions as they come out from new data and their possible interpretations is provided in this paper. The starting point of this review is the new detailed 3D distributions of relocated hypocenters laying under orogenic belts. The similarity of the hypocentral patterns under the Tethyan orogenic belts, and under the South American Pacific orogenic margin is considered to be a major font of information on which to build a more realistic global geodynamic model. Clusters and filaments of hypocenters are recognizable instead of regular patterns. These clusters taper downwards, leading to the idea of a deep origin in narrow regions of disturbance, besides other important facts that witness in favour of surfaceward movements of deep material along what can be called "mega-dykes". The outpouring of the material on the surface produces gravitational nappes and their overthrust on the sediments of the preexisting trough, forcing them on a burial path which emulate the subduction process, but without reaching depths greater than 50-70 km. Phenomenons like metamorphism, mixing, migmization, upward transport of fragments of the buried lithosphere etc. are possible at the boundary between uplifting material and down-pushed crust and lithosphere. Additional clues can be collected that confirm the new proposed framework. The astronomical indications of a coseismic displacement of the instantaneous Earth’s rotation axis in the occasion of the great Sumatra (Mw=9.3) and Honshu (Mw=9.0) earthquakes are especially significant because in complete disagreement with the plate tectonics modelled axis shift and in agreement with the shift expected in the new conception. Because of analogous opposite predictions of the length of day variation following the extreme magnitude earthquakes (∆LOD<0 vs ∆LOD>0), future improvements of the time measurement techniques could allow a final choice between rival geodynamical models.
The Impact of Local Content Requirements on the Indonesian Manufacturing Industry

Local content requirements (LCRs) are prohibited under the WTO law as they violate several WTO provisions including the national treatment principle. Nonetheless, many countries, including Indonesia, persistently use LCRs as part of their industrial policies. Countries implement LCRs for various reasons, including to protect local industries; to create employment; to boost export; to enhance local innovation capacity; and to support broader economic development in the country. This paper examines the impact of LCRs in manufacturing sector in Indonesia, with a particular interest on the machinery and transport industries. Since LCRs discourage foreign imports, hence it is expected they may affect firm’s use of imported inputs. The paper uses the Indonesian manufacturing census data, covering the period of 1990 to 2013. It finds the persistence impact of imported inputs on firms’ level of productivity, value added, output, export, and employment on the manufacturing sector in Indonesia. Our main finding indicates the ineffectiveness of LCRs in terms of reducing firm’s dependency on imported inputs. Given this finding, any unreasonably too restrictive LCRs may adversely affect industrial performance and thus its competitiveness.
Experimental postseismic recovery of fractured rocks assisted by calcite sealing

Postseismic recovery within fault damage zones involves slow healing of coseismic fractures leading to permeability reduction and strength increase with time. To better understand this process, experiments were performed by long‐term fluid percolation with calcite precipitation through predamaged quartz‐monzonite samples subjected to upper crustal conditions of stress and temperature. This resulted in a P wave velocity recovery of 50% of its initial drop after 64 days. In contrast, the permeability remained more or less constant for the duration of the experiment. Microstructures, fluid chemistry, and X‐ray microtomography demonstrate that incipient calcite sealing and asperity dissolution are responsible for the P wave velocity recovery. The permeability is unaffected because calcite precipitates outside of the main flow channels. The highly nonparallel evolution of strength recovery and permeability suggests that fluid conduits within fault damage zones can remain open fluid conduits after an earthquake for much longer durations than suggested by the seismic monitoring of fault healing.