Miracle-dz/UniFAR-FTUs huggingface dataset:
Moderating Effect of Gender Role on the Association between Conflict Resolution and Marital Satisfaction of Iranian Married Students

The main purposes of the present study were first to examine the association between conflict resolution and marital satisfaction among married Iranian students in Malaysia and second to examine the degree to which gender role moderates the relationship between conflict resolution and marital satisfaction. Data from 387 participants were examined using measures of conflict resolution and marital satisfaction. The results indicated that conflict resolution is positively related to marital satisfaction. Although, based on gender role, there are some differences between conflict resolution and marital satisfaction; gender differences did not lead to the conclusion that gender has a moderating influence on the association between conflict resolution and marital satisfaction.
CLASSIFICATION OF COLORECTAL CARCINOGENIC TISSUE WITH DIFFERENT DNA CHIP TECHNOLOGIES

We explore increased or decreased colorectal gene expression levels since they are the reason for improper work of the cells in the colorectal region, i.e. the processes they are associated with are disrupted. In the previous work, we have unveiled the genes responsible for the colorectal cancer occurrence (the biomarkers), and made a model for classification which determines whether one patient is carcinogenic. The model uses a developed methodology that calculates the Bayesian posterior probability for classification. The gene expression profiling was done by using the DNA microarray technology from the Illumina microarray technology. The motivation of this research is the comparation between the two different DNA chip technologies, Illumina and Affymetrix, which misses in the literature, especially for the problem of colorectal cancer classification. We examined the gene expression data obtained from the Affymetrix, in order to analyze the differences in the classification process.
Design of a Switched-Capacitor DC-DC Converter With a Wide Input Voltage Range

A triple-mode step-up/step-down switched-capacitor DC-DC converter is proposed, and it can work with a wide input voltage range. There are three operational modes in the proposed converter: triple-step-up, double-step-up, and step-down modes. A built-in clock generator was designed to generate a constant switching frequency, independent of the input voltage. The proposed circuit was implemented by a 0.35-μm CMOS mixed-signal 2P4M 3.3/5 V polycide process with a die area of 1.56×1.47 mm2. The output voltage is fixed at 3.3 V, while the input voltage range is 1.8-5 V. The maximal load current for a 1.8-V input voltage is 10 mA, while it increases to 30 mA when the input voltage is larger than 3 V.
Do Dynamic Linkages Exist Among European Carbon Markets

In this paper we examine statistical relationships among European carbon markets from 2005 to 2010. We use a time-series approach using 1,220 daily (spot and forward) price data observations from Phase I and Phase II of the European Union Emissions Trading Scheme (EU ETS). Procedures such as unit root, cointegration, vector error correction models (VECMs), Granger causality, and generalised impulse response functions are employed in the analysis. The results reveal dynamic linkages among spot and forward carbon prices in Phases I and II, indicating that joint price discovery is taking place in carbon markets (at least in the short-run). However, evidence of constrained long-run information flows in Phase II, as indicated by the joint short- and long-run Granger causality testing, may be problematic for policy makers. This finding suggests that the coordinated policies designed to improve the operation and transparency of the EU ETS in Phase II may have actually been counter-effective. If carbon pricing mechanisms are dysfunctional, this has implications for the informational efficiency of carbon markets in Phase II and beyond, thus signalling the possibility of arbitrage and other profitable trading opportunities for market participants. Further research could attempt to address these issues.
Metabolic Interactions between the Lands Cycle and the Kennedy Pathway of Glycerolipid Synthesis in Arabidopsis Developing Seeds[W]

The Kennedy pathway and the Lands cycle are two principal metabolic modules of glycerolipid metabolism. This work examines the crosstalk of these two pathways and shows that loss of Lands cycle activity leads to an enhanced de novo phosphatidylcholine PC synthesis through the Kennedy pathway and PC turnover in Arabidopsis developing seeds. It has been widely accepted that the primary function of the Lands cycle is to provide a route for acyl remodeling to modify fatty acid (FA) composition of phospholipids derived from the Kennedy pathway. Lysophosphatidylcholine acyltransferase (LPCAT) is an evolutionarily conserved key enzyme in the Lands cycle. In this study, we provide direct evidence that the Arabidopsis thaliana LPCATs, LPCAT1 and LPCAT2, participate in the Lands cycle in developing seeds. In spite of a substantially reduced initial rate of nascent FA incorporation into phosphatidylcholine (PC), the PC level in the double mutant lpcat1 lpcat2-2 remained unchanged. LPCAT deficiency triggered a compensatory response of de novo PC synthesis and a concomitant acceleration of PC turnover that were attributable at least in part to PC deacylation. Acyl-CoA profile analysis revealed complicated metabolic alterations rather than merely reduced acyl group shuffling from PC in the mutant. Shifts in FA stereo-specific distribution in triacylglycerol of the mutant seed suggested a preferential retention of saturated acyl chains at the stereospecific numbering (sn)-1 position from PC and likely a channeling of lysophosphatidic acid, derived from PC, into the Kennedy pathway. Our study thus illustrates an intricate relationship between the Lands cycle and the Kennedy pathway.
The Contribution of Trade to Wage Inequality: The Role of Skill, Gender, and Nationality

International trade has been cited as a source of widening wage inequality in industrial nations. Consistent with this claim, we find a significant export wage premium for high-skilled workers in German manufacturing and an export wage discount for lower skilled workers, using matched employer-employee data. Estimates suggest that the export wage premium to high-skilled workers represents up to one third of their overall skill premium. But, while an increase in exports increases wage inequality along the dimension of skill, it diminishes the wage inequality associated with both gender and nationality. In this way, trade contributes to narrowing wage gaps and mitigating wage inequality in German manufacturing.
A robust cosolvent-compatible halohydrin dehalogenase by computational library design

To improve the applicability of halohydrin dehalogenase as a catalyst for reactions in the presence of organic cosolvents, we explored a computational library design strategy (Framework for Rapid Enzyme Stabilization by Computational libraries) that involves discovery and in silico evaluation of stabilizing mutations. Energy calculations, disulfide bond predictions and molecular dynamics simulations identified 218 point mutations and 35 disulfide bonds with predicted stabilizing effects. Experiments confirmed 29 stabilizing point mutations, most of which were located in two distinct regions, whereas introduction of disulfide bonds was not effective. Combining the best mutations resulted in a 12-fold mutant (HheC-H12) with a 28°C higher apparent melting temperature and a remarkable increase in resistance to cosolvents. This variant also showed a higher optimum temperature for catalysis while activity at low temperature was preserved. Mutant H12 was used as a template for the introduction of mutations that enhance enantioselectivity or activity. Crystal structures showed that the structural changes in the H12 mutant mostly agreed with the computational predictions and that the enhanced stability was mainly due to mutations that redistributed surface charges and improved interactions between subunits, the latter including better interactions of water molecules at the subunit interfaces.
The role of antioxidants in protection from ototoxic drugs

A number of studies have shown that cisplatin and gentamicin ototoxic effects may result from free radical-mediated damage due to the reduction of antioxidant substances and an increased lipid peroxidation. The authors summarize the results obtained evaluating the auditory and vestibular functions and the inner ear hair cell morphology and survival after administration of antioxidant agents against cisplatin and gentamicin. In the first experiment, albino guinea pigs were treated with gentamicin (100 mg/kg per day, i.m.) alone or gentamicin (100 mg/kg per day, i.m.) plus α-tocopherol (100 mg/kg per day, i.m.) for 2 weeks. In a second experiment, albino guinea pigs were injected with cisplatin (2.5 mg/kg per day) or cisplatin (2.5 mg/kg per day) plus tiopronin (300 mg/kg) for 6 days. Electrocochleographic recordings were made from an implanted round window electrode. In all experiments compound action potentials (CAPs) were measured at 2–16 kHz. Changes in cochlear function were characterized as CAP threshold shifts. To evaluate vestibular function, the animals underwent sinusoidal oscillations in the dark about their vertical and longitudinal axes to evoke horizontal and vertical vestibulo-ocular reflexes (VOR). Frequency stimulation parameters ranged from 0.02 to 0.4 Hz and peak-to-peak amplitude was 20°. Morphological changes were analysed by light microscopy and scanning electron microscopy. Both hearing loss and vestibular dysfunction induced by gentamicin were significantly attenuated by α-tocopherol. However, tiopronin co-therapy slowed the progression of hearing loss in cisplatin-treated animals and significantly attenuated the final threshold shifts. Cisplatin had little effect on the hair cells of cristae ampullares and maculae. Vestibular function was completely preserved in tiopronin co-treated animals. In conclusion, antioxidants such as α-tocopherol or tiopronin interfere with gentamicin and cisplatin damage and this suggests that they may be useful in preventing oto-vestibulotoxicity. Therefore, it is important to develop protective strategies that permit the avoidance of the toxic side effects of these drugs without interfering with their therapeutic effects.
Good Practice Guidelines: Leading Teaching Teams

1.The University of Wollongong is committed to providing an excellent teaching and learning experience for its staff and students. The University recognises that: a. the leadership of the Subject Coordinator can facilitate the development of a community of practice; b. an effective community of practice can result in a significant reduction in the overall time required for effective subject coordination; c. communities of practice entail a culture of respect, participatory engagement and collegiality where teaching and teachers are valued; d. teaching teams inspire teachers when they function as communities of practice; and e. the teaching team is a key site for the development of professional identity. 2. These Guidelines provide information to assist Subject Coordinators in their leadership role and the building of a community of practice.
The Hausdorff dimension of recurrent sets in symbolic spaces

Let (�, σ ) be the one-sided shift space on m symbols. For any x = (xi)i1 ∈ � and positive integer n, define Rn(x) = inf{j n : x1x2 ··· xn = xj +1xj +2 ··· xj +n}. We prove that for each pair of numbers α, β ∈ [0, ∞] with α β, the following recurrent set Eα,β = � x ∈ � : lim inf n→∞ log Rn(x) n = α, lim sup n→∞ log Rn(x) n = β
A hybrid heuristic algorithm for single and multi-objective imprecise traveling salesman problems

Normally, Travelling salesman problems (TSPs) are formulated with deterministic parameters and either total cost or time is minimized. In real life TSPs, the travel costs and times are not defined precisely and represented by fuzzy or rough data. Very often, in addition to single objective cost or time, both total cost and time are also minimized. These uncertain problem are difficult to optimize. In this paper, some TSPs are formulated as linear programming's problems with imprecise data and there cost, time, or both are minimized by a hybrid heuristic algorithm combining Ant colony optimization (ACO) and Genetic algorithm (GA). Here, hybrid algorithm consumes less resources such as CPU time, then the single heuristic methods. Developed algorithm is capable of solving both single and multi-objective constrained large TSPs with crisp, fuzzy and rough data. In the algorithm, different types of crossovers (multi-point crossover, order crossover, partially mapped crossover) and mutations (single point, multi point) are randomly used. Performance of the algorithm is tested against standard test problems from TSPLIB. Proposed TSPs are solved with proposed and existing algorithms and results are compared. Both the problems and algorithm are illustrated with numerical examples. Some sensitivity analyses are also presented.
Control of multivehicle systems in the presence of uncertain dynamics

In this paper, we present a cooperative control architecture for high-order multivehicle systems having non-identical nonlinear uncertain dynamics. The proposed methodology consists of a local cooperative controller and a vehicle-level controller for each vehicle. The former controller receives the relative output measurements of the neighbouring vehicles in order to solve a containment problem formulated on a leader–follower framework. Specifically, the leaders generate trajectories in which the vehicles (followers) converge to the convex hull formed by those of the leaders. For a special case with one leader, this controller synchronises the output of the vehicles with the output of the leader. The latter controller receives the internal-state measurements for suppressing the nonlinear uncertain dynamics of the vehicle by using a decentralised adaptive control approach. The interaction topology between vehicles is described by undirected graphs and extensions to directed graphs are further discussed. The stability and convergence properties of the proposed cooperative control architecture are analysed by using the results from linear algebra and the Lyapunov theory. Several numerical examples are provided to demonstrate the efficacy of the proposed cooperative control architecture.
Information Retrieval of Jumbled Words

It is known that humans can easily read words where the letters have been jumbled in a certain way. This paper examines this problem by associating a distance measure with the jumbling process. Modifications to text were generated according to the Damerau-Levenshtein distance and it was checked if the users are able to read it. Graphical representations of the results are provided.
Post-NPM Reforms or Administrative Hybridization in the French Health Care System?

New public management (NPM) provides an opportunity to analyze a reform trajectory that is influenced by country-specific institutional and social traditions. France adopted its own version of NPM, embracing some of its “traditional” elements such as quasi-markets and performance evaluation and rejecting others. NPM reforms in France pursued a re-centralization agenda rather than a disaggregation of public agencies. Outcomes were below expectations in core areas such as citizen participation and physician professional satisfaction. Subsequent health reforms indicate convergence toward a hybrid system rather than toward a post-NPM paradigm.
Scaling a Convolutional Neural Network for Classification of Adjective Noun Pairs with TensorFlow on GPU Clusters

Deep neural networks have gained popularity inrecent years, obtaining outstanding results in a wide range ofapplications such as computer vision in both academia andmultiple industry areas. The progress made in recent years cannotbe understood without taking into account the technologicaladvancements seen in key domains such as High PerformanceComputing, more specifically in the Graphic Processing Unit(GPU) domain. These kind of deep neural networks need massiveamounts of data to effectively train the millions of parametersthey contain, and this training can take up to days or weeksdepending on the computer hardware we are using. In thiswork, we present how the training of a deep neural networkcan be parallelized on a distributed GPU cluster. The effect ofdistributing the training process is addressed from two differentpoints of view. First, the scalability of the task and its performancein the distributed setting are analyzed. Second, the impact ofdistributed training methods on the training times and finalaccuracy of the models is studied. We used TensorFlow on top ofthe GPU cluster of servers with 2 K80 GPU cards, at BarcelonaSupercomputing Center (BSC). The results show an improvementfor both focused areas. On one hand, the experiments showpromising results in order to train a neural network faster. The training time is decreased from 106 hours to 16 hoursin our experiments. On the other hand we can observe howincreasing the numbers of GPUs in one node rises the throughput, images per second, in a near-linear way. Morever an additionaldistributed speedup of 10.3 is achieved with 16 nodes taking asbaseline the speedup of one node.
What High-Achieving Low-Income Students Know About College

Previous work (Hoxby and Avery 2014) shows that low-income higher achievers tend not to apply to selective colleges despite being extremely likely to be admitted with financial aid so generous that they would pay less than they do to attend the non-selective schools they usually attend. The Expanding College Opportunities project is a randomized controlled trial that provides such students with individualized information about the college application process and colleges' net prices. In other work (Hoxby and Turner 2013), we show that the informational intervention substantially raises students' probability of applying to, being admitted at, enrolling at, and progressing at selective colleges. In this study, we show that the intervention actually changes students' informedness on key topics such as the cost of college, the availability of the curricula and peers they seek, and the different types of colleges available to them. We highlight topics on which the control students, who experienced no intervention, are seriously misinformed.
Bank business models and the separation issue

The main hallmarks of the global financial crisis were too-big-to-fail institutions taking on too much risk with other people’s money while gains were privatised and losses socialised. It is shown that banks need little capital in calm periods, but in a crisis they need too much – there is no reasonable ex-ante capital rule for large systemically important financial institutions that will make them safe. The bank regulators paradox is that large complex and interconnected banks need very little capital in the good times, but they can never have enough in an extreme crisis. Separation is required to deal with this problem, which derives mainly from counterparty risk. The study suggests banks should be considered for separation into a ring-fenced non-operating holding company (NOHC) structure with ring-fencing when they pass a key allowable threshold for the gross market value (GMV) of derivatives, a case which is reinforced if the bank has high wholesale funding and low levels of liquid trading assets. The pricing of derivatives and repos would become more commensurate with the risks if the NOHC proposal were to be pursued as a unifying strategy for the different national approaches. Most of the objections to this structure are summarised and rebutted. Other national proposals for separation in Switzerland, the Volcker rule, the Vickers rule, and the Liikanen proposal are argued to be inferior to the ring-fenced NOHC proposal, on the grounds that empirical evidence about what matters for a safe business model is not taken properly into account. JEL classification: G01, G15, G18, G20, G21, G24, G28 Keywords: Financial crisis, derivatives, bank business models, distance-to-default, structural bank separation, banking reform, GSIFI banks
A Scenario Analysis of the Risk Premium in G7 Countries

In this investigation over 144,000 simulations are undertaken of country equity risk premia, based on a scenario analysis of the uncertainty surrounding the period of non-sustainable growth in earnings and stock returns. Final estimates, from the larger data-sets in Japan, the US and the UK, are around 3–6% in nominal terms, and compare well with other methodologies. However, except for Canada, the smaller data-sets in France, Germany and Italy reveal much higher risk premia than expected. Furthermore, given the spreads in estimates generally, the issue of sustainability is still contentious.
Quantitative Analysis of QRS Detection Algorithms Based on the First Derivative of the ECG

Accurate processing of electrocardiogram (ECG) signals requires a sensitive and robust QRS detection method. In this study, three methods are quantitatively compared using a similar algorithm structure but applying different transforms to the differentiated ECG. The three transforms used are the Hilbert transformer, the squaring function, and a second discrete derivative stage. The first two have been widely used in ECG and heart rate variability analysis while the second derivative method aims to explain the success of the Hilbert transform. The algorithms were compared in terms of the number of false positive and false negative detections produced for records of the MIT/BIH Arrhythmia Database. The Hilbert transformer and the squaring function both produced a sensitivity and positive predictivity of over 99%, though the squaring function had a lower overall detection error rate. The second derivative resulted in the highest overall detection error rate. Different algorithms performed better for diverse ECG characteristics; suggesting that an algorithm can be specified for different recordings, the algorithms can be combined based on each one's characteristics to determine a new more accurate method, or an additional detection stage can be added to reduce the number of false negatives
Applications of Lorenz Curves in Economic Analysis

The Lorenz curve relates the cumulative proportion of income units to the cumulative proportion of income received when units are arranged in ascending order of their income. In the past the curve has been mainly used as a convenient graphic device to represent the size distribution of income and wealth. In this paper the Lorenz curve technique is used as a tool to introduce distributional considerations in economic analysis. The concept has been extended and generalized to study the relationships among the distributions of different economic variables. The generalized Lorenz curves are called concentration curves and the Lorenz curve is only a special case of such curves, the concentration curve for income. Section 2 of the paper gives the derivation of the Lorenz curve. Section 3 provides some theorems relative to the concentration curve of a function and its elasticity, which provide the basis for studying relationships among the distributions of different economic variables. Section 4 discusses applications of the theorems.
Making and Changing Laws in Ancient Athens

This chapter explores the development of ideas about legislation and legislative procedures in ancient Athens. It isolates an ideology of legislation that mistrusted legal change, and that came into conflict with democratic ideas and practices. It then discusses the creation of nomothesia procedures at the end of the fifth century BCE that reconciled the need for legal change with that for consistent and stable laws, and follows the workings of these procedures throughout the fourth century BCE.