Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of coke deposition phenomena on SAPO _ 34 catalyst and its effects on light olefins selectivity during methanol to olefins reaction

In current contribution combined measurement of products selectivity with coke deposition has been performed in order to study the deactivation of SAPO_34 during methanol conversion to light olefins emphasizing the effects of coke formation on products selectivies as well as investigation of parameters affecting coke formation. Shape selective effect of coke formation favors lighter hydrocarbon products and depending on reaction condition, 14wt% to 23wt% coke content of zeolite bed is suggested to be an appropriate range in terms of light olefins production. Comparing Hydrogen Transfer Index (defined as [alkane/(alkene+alkane)] for Cn species) as the indicator of aromatics formation with coke content of catalyst led to a meaningful relation in which coke deposition behavior can be predicted through the Hydrogen Transfer Index change during methanol to olefins reaction. Analysis of coke compounds revealed that, by increasing temperature and as the time on stream went on, relative distribution of soluble/insoluble coke shifted towards insoluble coke. Depending on the species formed at different reaction temperature, these coke species removal by air treatment varies between the temperature ranges of 550–930 K. A mathematical relation between the initial reaction condition and time on stream with average coke content is proposed as deactivation model and verified. Page 1 of 45 RSC Advances
End-to-end coreference resolution baseline system for Polish

The following paper presents the results of the first attempt of coreference resolution for Polish, intended to create a useful baseline for future experiments with this topic. The resulting implementation is designed to run either on true mention boundaries (discovering coreference chains between them) or in an end-to-end manner, performing their automatic detection as the first step. The system uses a few rich rules, corresponding to syntactic constraints (elimination of nested nominal groups), syntactic filters (elimination of syntactic incompatible heads), semantic filters (wordnet-derived compatibility) and selection (weighted scoring). Results are evaluated against human annotation for two commonly used baseline variants of the resolver (all-singletons/head-match) and two target rule-based settings. The best working method is analysed, showing simple statistics about the two classes of errors made by the system.
A Peer-Assessment System Connecting On-line and a Face-to-face Smart Classroom

Peer assessment can enhance students’ learning effect by comparing their learning outcome with their peers’ outcome and by benchmarking them. It also helps students to increase their responsibility and autonomy. However, the peer assessment has usually been adapted in e-learning environment because of the easy use on the Web. On the other hand, many Education Collages in Universities encourage students to give presentations as one of class activities because the students can have confidence and build up their practical experience by their presentations. The peer assessment is a good way to use in presentation-based learning. Due to the advent of smart learning environment, students can learn anywhere and anytime. It means that smart learning eliminates the distinctions between on-line and off-line classes by using smart technologies. However, some instructional methods still have difficulties in performing in face-to-face classrooms because there is no system that keeps the class activities happened in our classroom like e-learning systems. In this paper, we design and implement a prototype of the peer-assessment system for students and teachers that can assess the peers and the students respectively. In addition, the proposed system stores the assessment result in a database and feedback the result to the students and the teachers for smart learning. [Park CJ, Hyun JS. A Peer-Assessment System Connecting On-line and a Face-to-face Smart Classroom. Life Sci J 2014;11(7):700-705] (ISSN:1097-8135). http://www.lifesciencesite. com. 101
Evaluating color combinations using abstract graphics versus pictures of simulated urban settings

Preference for ‘color combinations’ have received remarkably little empirical attention and no study compared people’s responses to ‘abstract color combinations’ and ‘color combinations in urban settings’. This study aims to fill this gap and focuses on color combinations rather than isolated colors. 22 color compositions (11 abstract graphics + 11 simulated urban settings) were created. Color compositions included analogous and complementary hues, warm and cool hues, low (5 hues) and high (10 or 11 hues) diversity color compositions. 104 participant evaluated color compositions for (1) arousal, (2) naturalness, (3) relaxation and preference for various objects and settings including (4) clothing, (5) bathroom walls, (6) mall indoors, (7) restaurant indoors, (8) house indoors, (9) building exteriors and (10) any type of object, using a 7-point bipolar scale. The results showed that; (1) color compositions of abstract graphics and pictures of simulated urban settings were rated similarly for ratings of naturalness and preference for any type of object and setting, (2) low and high diversity color compositions were rated similarly for all scales except preference for house indoors, (3) analogous and complementary color compositions were rated similarly for all scales except preference for clothing, (4) warm and cool color compositions were rated similarly for all scales except preference for bathroom walls. The applied value of these results and areas for future research are discussed.
A LIGHTWEIGHT SECURE PROCESS AUTHENTICATION MECHANISM USING ENCRYPTION TECHNIQUE

This paper highlights the need for process authentication for user-level applications in modern operating system. In most systems, the process name and installation path is used for process authentication purpose which is not reliable. We propose a lightweight secure credential generation mechanism for process authentication in which user-level applications need to prove their identity to the kernel at runtime and it is stored in the encrypted space of the disk. The process identity is encrypted and stored in credential registrar when application is run for first time. Subsequent run of the application generates new credential and is verified with the stored value in credential registrar for authenticity. Our prototype evaluation results in low overhead and proves that it is feasible approach for process authentication in operating system. KeywordsOperating system; process authentication; credential registrar; Authentication framework
Towards Givenness and Relevance-Theoretic Open World Reference Resolution

Robots participating in natural dialogue may need to discuss, reason about, or initiate actions concerning dialoguereferenced entities. To do so, the robot must first identify or create new representations for those entities, a capability known as reference resolution. We previously presented GH-POWER: an algorithm that used a Givenness Hierarchy theoretic approach to resolving definite, indefinite, anaphoric, and deictic noun phrases in uncertain and open worlds. In this work, we introduce GROWLER: a new reference resolution algorithm which enables more robust reference resolution by extending GH-POWER with a model of relevance, and discuss how this extension is able to handle some cases not handled by our original algorithm.
Advanced semantics for accelerated graph processing

Large-scale graph applications are of great national, commercial, and societal importance, with direct use in fields such as counter-intelligence, proteomics, and data mining. Unfortunately, graph-based problems exhibit certain basic characteristics that make them a poor match for conventional computing systems in terms of structure, scale, and semantics. Graph processing kernels emphasize sparse data structures and computations with irregular memory access patterns that destroy the temporal and spatial locality upon which modern processors rely for performance. Furthermore, applications in this area utilize large data sets, and have been shown to be more data intensive than typical floating-point applications, two properties which lead to inefficient utilization of the hierarchical memory system. Current approaches to processing large graph data sets leverage traditional HPC systems and programming models, for shared memory and message-passing computation, and are thus limited in efficiency, scalability, and programmability. The research presented in this thesis investigates the potential of a new model of execution that is hypothesized as a promising alternative for graph-based applications to conventional practices. A new approach to graph processing is developed and presented in this thesis. The application of the experimental ParalleX execution model to graph processing balances continuation-migration style fine-grain concurrency with constraint-based synchronization. A collection of parallel graph application kernels provide experiment control drivers for analysis and evaluation of this innovative strategy. Finally, an experimental software library for scalable graph processing, the ParalleX Graph Library, is defined using the HPX runtime system, providing an implementation of the key concepts and a framework for development of ParalleX-based graph applications.
Elliptic Flow in Pb-Pb Collisions at ffiffiffiffiffiffiffi sNN p = 5 . 02 TeV

sNN p 1⁄4 5.02 TeV with the ALICE detector at the LHC. The J=ψ mesons are reconstructed at midrapidity (jyj < 0.9) in the dielectron decay channel and at forward rapidity (2.5 < y < 4.0) in the dimuon channel, both down to zero transverse momentum. At forward rapidity, the elliptic flow v2 of the J=ψ is studied as a function of the transverse momentum and centrality. A positive v2 is observed in the transverse momentum range 2<pT <8GeV=c in the three centrality classes studied and confirms with higher statistics our earlier results at ffiffiffiffiffiffiffiffi
Somatosensory Dance Interaction System Based on Motion Evaluation Algorithm

Square dance is a way of physical exercise, entertainment and social interaction with high participation. In view of the characteristics of square dance activities and the problems of the actual implementation, this paper analyzed and improved the motion evaluation algorithm, and evaluated the human skeleton sequence which the Kinect captured in real time. This paper designed and integrated a motion sensing dance interaction system based on Kinect to serve the grass-roots public culture, to give full play to the effect of motion sensing interactive experience. Users can fully mobilize body subjective in the process of participation. It provides new activity way and convenience for grass-roots mass cultural activities.
Investigation of water vapour permeation and antibacterial properties of nano silver loaded cellulose acetate film

The study describes water vapour permeation and antibacterial properties of silver nanoparticles (SN) loaded cellulose acetate films. The water vapour permeability of plain cellulose acetate film was found to increase with temperature and activation energy for permeation (Ep) was found to be 46.28 kJ mol-1. In addition, increase in relative humidity also enhanced the permeability parameters of the plain cellulose acetate film. Similarly, use of poly ethyleneglycol (PEG) as plasticizer enhanced the water vapour transmission properties of films but it also produces adverse effect on mechanical properties of the films. The silver nanoparticles loaded films have been characterized by surface plasma resonance (SPR), X-ray diffraction, transmission scanning electron microscopy (TEM) and differential scanning calorimetry (DSC). The average size of the silver nanoparticles, as determined using Scherre’s equation, was found to be nearly 84nm. The film showed fair antibacterial activities against model bacteria E. coli. The moisture barrier action of cellulose acetate film was also tested, using grapes pulp as model substract. The grape pulp when entrapped within the cellulose acetate film, exhibited a slower moisture loss as compared to the pulp exposed to open air.
Supplement to “The cyclical dynamics of illiquid housing, debt, and foreclosures”

This paper quantitatively accounts for the cyclical dynamics of key macroeconomic housing and mortgage market variables using a tractable, search-theoretic model of housing with equilibrium mortgage default. To explain these dynamics, the model highlights the importance of liquidity spirals that arise from the interaction of search frictions and endogenous credit constraints. During housing busts, longer selling times spill over into higher foreclosure risk, thereby magnifying the response of credit constraints to the depressed housing market. This contraction in credit then deepens the downturn. During booms, the reverse occurs. Based on these insights, I consider a foreclosure reform that makes all mortgages full recourse, and I show that implementing such a reform would reduce foreclosures and dampen housing dynamics.
Dementia After Cholinesterase Inhibitor Therapy Changes in Cerebral Glucose Metabolism in Patients with Parkinson Disease with

Published online: November 7, 2008. 2008;49:2006-2011. J Nucl Med. Phil Hyu Lee, Seok Woo Yong and Young-Sil An Dementia After Cholinesterase Inhibitor Therapy Changes in Cerebral Glucose Metabolism in Patients with Parkinson Disease with http://jnm.snmjournals. org/content/49/12/2006 This article and updated information are available at: http://jnm.snmjournals. org/site/subscriptions/online.xhtml Information about subscriptions to JNM can be found at: http://jnm.snmjournals. org/site/misc/permission.xhtml Information about reproducing figures, tables, or other portions of this article can be found online at:
GRENHART, WILLIAM CHARLES MCCLURE. Modifying Digital Games to Train Working Memory: A Tale of Two Games. (Under the direction of Dr. Jason Allaire.) A growing number of studies indicate that playing digital games

GRENHART, WILLIAM CHARLES MCCLURE. Modifying Digital Games to Train Working Memory: A Tale of Two Games. (Under the direction of Dr. Jason Allaire.) A growing number of studies indicate that playing digital games can improve various cognitive abilities. However, the lack of experimental control in commercially available games limits conclusions about the mechanisms that connect digital gameplay to improved cognitive functioning. One common hypothesis suggests that specific cognitive abilities benefit from experiences which place demands on those functions. This has been tested with game-like cognitive tasks which attempt to control the cognitive processes utilized during gameplay. This intervention compares two approaches to game-based cognitive interventions by modifying a real-time strategy game (StarCraft 2) to exercise working memory. Seventy three young adults were randomly assigned to play either the original version (SC2) or a working memory version (WMSC2) of the game, or to the no-contact control group. Between-group analysis of change in working memory and visual processing ability from pretest to posttest indicated the WMSC2 group improved in visuospatial working memory. Additionally, an examination the moderating effects of the experience of flow and regular digital game use on cognitive change yielded minor effects. Modifying Digital Games to Train Working Memory: A Tale of Two Games by William Charles McClure Grenhart A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Master of Science
Demystifying Soft Error Assessment Strategies on ARM CPUs: Microarchitectural Fault Injection vs. Neutron Beam Experiments

Fault injection in early microarchitecture-level simulation CPU models and beam experiments on the final physical CPU chip are two established methodologies to access the soft error reliability of a microprocessor at different stages of its design flow. Beam experiments, on one hand, estimate the devices expected soft error rate in realistic physical conditions by exposing it to accelerated particles fluxes. Fault injection in microarchitectural models of the processor, on the other hand, provides deep insights on faults propagation through the entire system stack, including the operating system. Combining beam experiments and fault injection data can deliver deep insights about the devices expected reliability when deployed in the field. However, it is yet largely unclear if the fault injection error rates can be compared to those reported by beam experiments and how this comparison can lead to informed soft error protection decisions in early stages of the system design.
Microseismic Geomechanical Modelling of Asymmetric Upper Montney Hydraulic Fractures

Geomechanical modelling is a powerful tool to quantitatively interpret a hydraulic fracture network model by validating it with the observed micoseismic deformation. Microseismic data recorded during an Upper Montney stimulation of a horizontal well with a sliding sleeve completion was used to calibrate a microseismic geomechanical model. The 3D hydraulic-mechanical model was populated using available geologic data, a microseismic constrained discrete fracture network (DFN), and a vertical 1D stress profile simulating the injection sequence. Synthetic microseismicity from the model was matched to the field observations to validate asymetric fracture growth associated with stress shadowing between stages. The calibrated model was then used to examine other engineering designs including the treatment and well completion. For a plug and perf completion scenario, stress shadowing between perforation clusters was shown to result in fracture assymetry. However, the assymetry and more importantly the corresponding reservoir contact with the propped portion of the fracture can be managed through the fracture design and cluster spacing. The case study illustrates a microseismic geomechanics workflow that uses field observations from an open hole, sliding sleeve completions strategy to calibrate the propagation of a hydraulic fracture during a single stage of injection. Results support the observed asymmetry and suggest stress shadow as a possible explanation for the asymmetric fracture propagation. The calibrated geomechanical model provides a workflow to leverage microseismic data for optimizing the hydraulic fracture and well design.
KINETICS AND MORPHOLOGICAL EVOLUTION DURING MELT CRYSTALLISATION OF MOULD FLUXES

Various metallurgical slags will be crystallised during a cooling process after the operation. Therefore, for better valorisation of the slags, it is essential to understand the kinetics and morphological evolution of crystallisation from the molten glassy phase. In this study, the effects of basicity (CaO/SiO2) and other components such as B2O3 and Li2O on the melt crystallisation behaviours of cuspidine (Ca4Si2O7F2) have been investigated under non-isothermal and isothermal conditions using a differential scanning calorimetry (DSC), which could be applied to various slag system such as tundish powder, mould flux, and electro slag re-melting slag. For analysis of the nonisothermal melt crystallisation kinetics of cuspidine in CaO-SiO2-CaF2-based slag system, the Matusita analysis is critically assessed to find that it is not suitable to depict non-isothermal melt crystallisation of glasses. Instead, the effective activation energy for non-isothermal crystallisation was estimated using differential iso-conversional method of Friedman analysis. Also, the investigation was carried out to understand how to control crystal morphology of CaO-SiO2-CaF2-based slag system. A thermodynamic method was introduced to estimate Jackson α factor of a crystal in multi-component slag system, and the parameters were calculated with the help of thermodynamic database, FactSage. Furthermore, the combined effects of Jackson α factor, undercooling and flux composition on crystal morphology in slags were discussed.
Characterization of the Micro fl uidic Oscillator

The microfluidic oscillator is a new microscale actuator developed for flow control applications. These patented devices can produce a 325m-wide oscillating gas jet at high frequencies (over 22 kHz) and very low flow rates ( 1 l=min or 1 g=min). Furthermore, microfluidic oscillators have no moving parts; the jet oscillations depend solely on the internal fluid dynamics. In this work, the flowfield of a microfluidic oscillator is characterized using pressure transducers, water visualization, and pressure-sensitive paint. The acoustic field and frequency spectrum were characterized for the oscillator at several flow rates. The results indicate that the external flowfield of the microfluidic oscillator is marked by two distinct operating regimes, separated by a transitional increase in turbulent noise. This work also demonstrates a significant advance in pressure-sensitive paint technology. New instrumentation was developed to resolve small-scale, time-resolved measurements of a high-frequency micro flowfield.Amacro imaging systemwasused to provide a spatial resolution of approximately 3mmper pixel and timeresolved, full-unsteady pressure measurements at oscillation frequencies up to 21 kHz.
Modeling Industrial Behavior and Feedback Between Energy and Material Flows and Capital Vintage: Implications for Material, Energy and Climate Change Policy Design

The goal of this study is to present a framework for quantifying the relationship between physical energy and material flows, capital structure and investment behavior in the US paper industry to the end of analyzing potential conflicts between energy and material use policy and goals for greenhouse gas emissions. A regional econometric engineering vintage model is developed which simultaneously incorporates investment decisions, physical material and energy flows, as well as incorporates directly the vintage structure of the capital stock  capturing the impact of capital inertia which in a mature industry greatly influences technological change and thus investment/management decisions. Each vintage or age-class of installed capital is specified by age-specific retirement rates, fiber, and energy intensities. Both embodied and disembodied technological change, are incorporated, as well as carbon dioxide emissions from fuel use and landfill methane generation. Results demonstrate the interdependence between material and energy flows and the central role energy prices have in decision-making. For instance, in the quest to reduce carbon emissions through fuel switching and improvements in energy efficiency, policymakers may want to increase the price of fossil fuels, based on their carbon content. Yet, this policy will disadvantage the use of waste-fibers, and thus discourage paper recycling which of course has important implications for greenhouse gas emissions as well as for the ultimate impact on energy efficiency. The results highlight the importance of taking a systems perspective, incorporating simultaneously material and energy flows, when estimating the impact of policy on increased sustainability of industrial systems.