Miracle-dz/UniFAR-FTUs huggingface dataset:
Formation and evolution of a population of strike-slip faults in a multiscale cellular automaton model

SUMMARY This paper describes a new model of rupture designed to reproduce structural patterns observed in the formation and evolution of a population of strike-slip faults. This model is a multiscale cellular automaton with two states. A stable state is associated with an ‘intact’ zone in which the fracturing process is confined to a smaller length scale. An active state is associated with an actively slipping fault. At the smallest length scale of a fault segment, transition rates from one state to another are determined with respect to the magnitude of the local strain rate and a time-dependent stochastic process. At increasingly larger length scales, healing and faulting are described according to geometric rules of fault interaction based on fracture mechanics. A redistribution of the strain rates in the neighbourhood of active faults at all length scales ensures that long range interactions and non-linear feedback processes are incorporated in the fault growth mechanism. Typical patterns of development of a population of faults are presented and show nucleation, growth, branching, interaction and coalescence. The geometries of the fault populations spontaneously converge to a configuration in which strain is concentrated on a dominant fault. In these numerical simulations, the material properties are uniform, so the entire process of fault development arises spontaneously from the pattern of interactions between the elements of the system over time. Furthermore, homogenization of the strain rate along faults and structural regularization of the fault trace can be quantified by analysis of the output patterns. The time dependent stochastic process allows relocation of faults by branching from bends and irregularities of the fault traces. This relocation mechanism involves partitioning of the strain and competition between faults. Possible relationships between the seismic regime and the geometry of the fault population suggest that the fault system may be attracted by a critical point. Towards this critical point, the correlation length (i.e. the length of the largest fault) increases, the proportion of large event is higher and larger faults are able to slip at lower stresses.
DISINFLATION AND EXCHANGE-RATE PASS-THROUGH

This paper analyzes exchange-rate dynamics following a money-based disinflation under different degrees of exchange-rate pass-through. Using a microfounded dynamic general equilibrium model with imperfect competition and nominal rigidities, it is shown that a monetary slowdown causes an appreciation of the exchange rate and a short-run fall in employment. Varying the degree of pass-through, however, significantly alters the magnitudes of these effects. As the degree of pass-through is reduced, the extent of the short-run appreciation of the exchange rate increases and the short-run impact of the disinflation on employment falls.
An autonomic nervous system model applied to the analysis of orthostatic tests

One of the clinical examinations performed to evaluate the autonomic nervous system (ANS) activity is the tilt test, which consists in studying the cardiovascular response to the change of a patient's position from a supine to a head-up position. The analysis of heart rate variability signals during tilt tests has been shown to be useful for risk stratification and diagnosis on different pathologies. However, the interpretation of such signals is a difficult task. The application of physiological models to assist the interpretation of these data has already been proposed in the literature, but this requires, as a previous step, the identification of patient-specific model parameters. In this paper, a model-based approach is proposed to reproduce individual heart rate signals acquired during tilt tests. A new physiological model adapted to this problem and coupling the ANS, the cardiovascular system (CVS), and global ventricular mechanics is presented. Evolutionary algorithms are used for the identification of patient-specific parameters in order to reproduce heart rate signals obtained during tilt tests performed on eight healthy subjects and eight diabetic patients. The proposed approach is able to reproduce the main components of the observed heart rate signals and represents a first step toward a model-based interpretation of these signals.
Air Compressor Control System for Energy Saving in Locomotive Service Plant

The actuality and disadvantages of traditional high power asynchronism motor drive air compressor in locomotive ser-vice plant are discussed. In order to reduce the energy consumption and obtain safe running, a variable frequency con-trol method to the motor is supplied. A PLC with touch screen is used for monitoring the status of the compressor and its control system. It also presents energy consumption analysis caused by the variable frequency control method in a locomotive service plant.
Automatic Entity Relation Extraction Based on Maximum Entropy

Entity relation extraction (RE) is an very important research domain in information extraction, we can regard RE as a classification problem in this paper, RE is still original study field in Chinese language now, maximum entropy (ME)-based machine learning is the first time to be used to extract entity relations between named entities from Chinese texts, Thirteen features have been designed for entity relation extraction, which includes morphology, grammar and semantic feature. The system architecture for RE has been constructed. Experiment shows that the performance is promising. So it is useful for ME-based machine learning to solve RE problem
A high performance architecture of EBCOT encoder in JPEG 2000

A high performance architecture for EBCOT in JPEG 2000 is proposed. The architecture consists of a column-and-pass dual parallel context modeling unit capable of the simultaneous processing of four samples, and a pipelined binary arithmetic coder based on a two-context window running at double the clock frequency to match the processing rate of the context modeling unit. Simulation results show that this design reduces processing time by about 60% compared with existing pass-parallel architectures and is able to process a 512/spl times/512 grayscale image in approximately 4 ms at 100 MHz system clock rate.
Holocene shifts of the southern westerlies across the South Atlantic

The southern westerly winds (SWW) exert a crucial influence over the world ocean and climate. Nevertheless, a comprehensive understanding of the Holocene temporal and spatial evolution of the SWW remains a significant challenge due to the sparsity of high-resolution marine archives and appropriate SWW proxies. Here we present a north-south transect of high-resolution planktonic foraminiferal oxygen isotope records from the western South Atlantic. Our proxy records reveal Holocene migrations of the Brazil-Malvinas Confluence (BMC), a highly sensitive feature for changes in the position and strength of the northern portion of the SWW. Through the tight coupling of the BMC position to the large-scale wind field, the records allow a quantitative reconstruction of Holocene latitudinal displacements of the SWW across the South Atlantic. Our data reveal a gradual poleward movement of the SWW by about 1–1.5° from the early to the mid-Holocene. Afterward, variability in the SWW is dominated by millennial scale displacements on the order of 1° in latitude with no recognizable longer-term trend. These findings are confronted with results from a state-of-the-art transient Holocene climate simulation using a comprehensive coupled atmosphere-ocean general circulation model. Proxy-inferred and modeled SWW shifts compare qualitatively, but the model underestimates both orbitally forced multimillennial and internal millennial SWW variability by almost an order of magnitude. The underestimated natural variability implies a substantial uncertainty in model projections of future SWW shifts.
Mathematical Statistics , Mathematical Optimization , Linear Algebra , Geometry , Differential Equations , Mathematical Statistics , Cryptography and Cryptanalysis

Cloud Computing is popular choice for processing and analyzing large amounts of data. Organizations can easily manage and deploy powerful clusters that run different software environments and enable distributed processing. Scheduling is an important part of distributed computing that allows users to leverage the available resources for a faster computation time. In this paper we propose a generic scheduling algorithm that takes deadline constraints into
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

Measuring divergence between two distributions is essential in machine learning and statistics and has various applications including binary classification, change point detection, and two-sample test. Furthermore, in the era of big data, designing divergence measure that is interpretable and can handle high-dimensional and complex data becomes extremely important. In the paper, we propose a post selection inference (PSI) framework for divergence measure, which can select a set of statistically significant features that discriminate two distributions. Specifically, we employ an additive variant of maximum mean discrepancy (MMD) for features and introduce a general hypothesis test for PSI. A novel MMD estimator using the incomplete U-statistics, which has an asymptotically Normal distribution (under mild assumptions) and gives high detection power in PSI, is also proposed and analyzed theoretically. Through synthetic and real-world feature selection experiments, we show that the proposed framework can successfully detect statistically significant features. Last, we propose a sample selection framework for analyzing different members in the Generative Adversarial Networks (GANs) family.
Adjustment capacity in a monetary union: a DSGE evaluation of Poland and Slovakia

Once a country joins a monetary union, an efficient competitiveness channel is commonly considered to be the main substitute for the abandoned autonomous monetary and exchange rate policy. This paper attempts to make an empirical assessment of how the price competitiveness of domestic producers stabilizes the Polish and Slovak economies in comparison to the real interest rate, that could potentially be procyclical in EMU. To address this issue, we revisit the econometric studies of weighting the Monetary Conditions Index (MCI-ratio) to explore the relative importance of the two channels. We apply the IS-curve approach and -- as opposed to previous MCI-ratio literature -- we build a small open economy DSGE framework to be estimated with classical forward-looking techniques (FIML). We compare the estimates and impulse-response functions for Poland and Slovakia, concluding that the latter country seems to be more capable of handling asymmetric demand shocks under the common monetary policy. At the same time, it remains more vulnerable to asymmetric cost-push shocks. Also, we examine the consequences of a permanent fall in the interest rates in the home economy after the accession to the monetary union. If there was a natural interest rate disparity of 1 percentage point in favour of the catching-up economy and agents expected a 30-year long period of closing this gap, our model would predict a terms of trade appreciation for both countries in question, whereby the required appreciation would be more pronounced for Poland than for Slovakia (9.9% and 2.6% respectively).
Bracing Configurations Effect on Buckling Restrained Braced Frames

Buckling restrained bracing systems are effectively being used to reduce seismic response during recent years. But often configurations of these systems are ignored while evaluating their behaviour. Aim of this study is to consider the effect of different bracing configurations on the behaviour of Buckling Restrained Braced Frames(BRBFs). Five-storey three-bay braced frames with three different patterns are modelled using Finite Element Analysis software ANSYS. The main variables of this study are the bracing pattern and location of bracing. The effects of bracing configurations on seismic behaviour of buckling restrained braces are also considered. The best combinations of bracing pattern and location along with specific bay width and storey height in terms of seismic response are suggested finally.
Molecular Cell Pre-miRNA Surveillance by TUT 7 / 4 and the Exosome

Xuhang Liu,1,2 Qi Zheng,2,3 Nicholas Vrettos,1,2 Manolis Maragkakis,1,2 Panagiotis Alexiou,1,2 Brian D. Gregory,2,3 and Zissimos Mourelatos1,2,* 1Department of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine 2PENN Genome Frontiers Institute 3Department of Biology University of Pennsylvania, Philadelphia, PA 19104, USA *Correspondence: mourelaz@uphs.upenn. edu http://dx.doi. org/10.1016/j.molcel. 2014.07. 017
Drying shrinkage of hydrothermally cured cements with reactive magnesia and clay brick waste

In recent years, worldwide research and development in the cement industry has gathered momentum with an aim to explore innovative and sustainable methods to deliver environmentally responsible Portland Cement (PC) based construction products. This study investigated physical and mechanical properties of autoclaved cement-quartz sand blends with the addition of clay-brick waste (CB waste) and reactive magnesia (MgO) with the aim to lower CO2 emissions through the reduction of PC consumption. Mechanical properties and drying shrinkage showed improvements with the incorporation of CB waste due to increased amounts and crystallinity of Al-tobermorite. The addition of reactive MgO to PC in hydrothermal conditions was observed to have a negative effect on the compressive strength. XRD data indicated that MgO did not take part in the reaction during the hydration of the cement and may even retard tobermorite formation. However, the expansive nature from the hydration of MgO to brucite may have compensated for drying shrinkage.
ICT Attributes as Determinants of E-commerce Adoption by Formal Small Enterprises in Urban Kenya

In recent years, there has been increased Information Communication Technology (ICT) advancement in Kenya that provides opportunities for small enterprises to improve their business performance. In these regard, the purpose of this study is to gain a deeper understanding on the determinants of e-commerce adoption and usage by formal small enterprises in urban Kenya. The study examined relationship between e-commerce adoption and perceived ICT attributes. Previous studies carried out in Europe, America, Asia and South Africa have shown that innovative use of e-commerce is a crucial intervention tool that has catalytic effect on business performance. Stratified random sampling was used to select a sample of 400 small enterprises located in four main urban towns of Kenya. The survey instrument was a questionnaire administered to the business owners. Analysis of data was done using descriptive and inferential statistics. Results of the research show that small formal enterprises in urban Kenya are influenced to adopt e-commerce by being able to observe visible results emanating from its use such as simplification of work routines, efficient coordination among various value chain partners, increased productivity and improved customers services that leads to customer satisfaction. Majority of entrepreneurs viewed e-commerce as an avenue of venturing into new markets but not as a tool for developing new products and services. Based on the findings, the study recommends training institutions in collaboration with ICT board of Kenya and relevant line ministries to come up with ICT demonstration sites equipped with virtual businesses for entrepreneurs to train on effectively use e-commerce in their businesses.
Interval Analysis of Controllable Workspace for Cable Robots

Workspace analysis is one of the most important issues in the robotic parallel manipulator design. ‎‎unidirectional constraint imposed by cables causes this analysis more challenging in the cable driven redundant parallel manipulators. Controllable workspace is one of the general workspace in the cable driven redundant parallel manipulators due to the dependency on geometry parameters in the cable driven redundant parallel manipulators. In this paper, a novel tool is presented based on interval analysis for determination of ‎boundaries and proper assessment of the enclosed region of controllable workspace of cable-driven redundant parallel manipulators. This algorithm utilizes the fundamental wrench interpretation to analyze the controllable workspace of cable driven redundant parallel manipulators. Fundamental wrench is the newly definitions that opens new horizons for physical interpretation of controllable workspace of general cable driven redundant parallel manipulators. ‎‎proposed method is implemented on a spatial cable driven redundant manipulator of interest.
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The complement system is a critical component of innate immunity that requires regulation to avoid inappropriate activation. This regulation is provided by many proteins, including complement factor H (CFH), a critical regulator of the alternative pathway of complement activation. Given its regulatory function, mutations in CFH have been implicated in diseases such as age-related macular degeneration and membranoproliferative glomerulonephritis, and central nervous system diseases such as Alzheimer’s disease, Parkinson’s disease, and a demyelinating murine model, experimental autoimmune encephalomyelitis (EAE). There have been few investigations on the transcriptional regulation of CFH in the brain and CNS. Our studies show that CFH mRNA is present in several CNS cell types. The murine CFH (mCFH) promoter was cloned and examined through truncation constructs and we show that specific regions throughout the promoter contain enhancers and repressors that are positively regulated by inflammatory cytokines
Interferometric/daylight seismic imaging

SUMMARY Claerbout’s daylight imaging concept is generalized to a theory of interferometric seismic imaging (II). Interferometric seismic imaging is defined to be any algorithm that inverts correlated seismic data for the reflectivity or source distribution. As examples, we show that II can image reflectivity distributions by migrating ghost reflections in passive seismic data and generalizes the receiver-function imaging method used by seismologists. Interferometric seismic imaging can also migrate free-surface multiples in common depth point (CDP) data and image source distributions from passive seismic data. Both synthetic and field data examples are used to illustrate the different possibilities of II. The key advantage of II is that it can image source locations or reflectivity distributions from passive seismic data where the source position or wavelet is unknown. In some cases it can mitigate defocusing errors as a result of statics or an incorrect migration velocity. The main drawback with II is that severe migration artefacts can be created by partial focusing of virtual multiples.
Core Core Core Core HThHTh Core HTh HTh Core HTh HTh Network on Chip Last Level Cache Memory Controller Memory

With their significant performance and energy advantages, emerging manycore processors have also brought new challenges to the architecture research community. Manycore processors are highly integrated complex system-on-chips with complicated core and uncore subsystems. The core subsystems can consist of a large number of traditional and asymmetric cores. The uncore subsystems have also become unprecedentedly powerful and complex with deeper cache hierarchies, advanced on-chip interconnects, and high-performance memory controllers. In order to conduct research for emerging manycore processor systems, a microarchitecture-level and cycle-level manycore simulation infrastructure is needed. This paper introduces McSimA+, a new timing simulation infrastructure, to meet these needs. McSimA+ models x86based asymmetric manycore microarchitectures in detail for both core and uncore subsystems, including a full spectrum of asymmetric cores from single-threaded to multithreaded and from in-order to out-of-order, sophisticated cache hierarchies, coherence hardware, on-chip interconnects, memory controllers, and main memory. McSimA+ is an application-level+ simulator, offering a middle ground between a full-system simulator and an application-level simulator. Therefore, it enjoys the light weight of an application-level simulator and the full control of threads and processes as in a full-system simulator. This paper also explores an asymmetric clustered manycore architecture that can reduce the thread migration cost to achieve a noticeable performance improvement compared to a state-of-the-art asymmetric manycore architecture.
Technology Acceptance of a Gold Dinar Based Electronic Payment System

This study is intended to solve a few constraints existed in physical gold dinar when used as a form of payment. One dinar is equal to 4.25 gram of fine gold. Specifically, this work proposes the use of e-commerce technology to solve those constraints. But before the actual system can be implemented, this research seeks to find out whether or not the public would be ready to adopt the concept of an electronic dinar payment system. The research framework is based on Unified Theory of Acceptance and Use of Technology (UTAUT) [1]. It measures the user acceptance based on these constructs; performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention to use. In addition, anxiety and perceived credibility are added as two new constructs. Data collection is based on a questionnaire survey. From the descriptive analysis results, it is discovered that most of the respondents participated in this survey generally agree with the idea of using the proposed dinar based payment system (mean rating of above 4.00).
Information Systems and Intra-Organisational Power: Exploring Power & Political Aspects Associated with the Adoption of a Knowledge Sharing System in an IT Services Department

It is widely accepted that the successful adoption of information systems in organisations is dependent on the contextual factors relating to organisational culture, power, structure, and strategy. Of these, organisational power has been least investigated, especially in relation to information systems of a knowledge sharing context. Moreover, IS and power theories belonging to the emergent perspective of power have not been explored in detail in recent times. In this paper, an attempt is made to illustrate the intra-organisational power and political aspects associated with designing, implementing, using, and maintaining an information system used for sharing knowledge. This was achieved by investigating a case study focused on a knowledge sharing system of an IT services department in an Australian university. The findings were derived based on the analysis conducted using the elements of Political Variant of the Interaction Theory (PVIT), which we argue is a theoretical framework belonging to the emergent perspective of power. The analysis provided insights into how the investigated information system shaped, and was shaped by, the power relations of the organisational context. Moreover, the investigation confirmed the analytical strength and the applicability of the PVIT to modern case studies despite its age and lack of use. Based on the findings implications for future use of the PVIT are also drawn in this paper.