Miracle-dz/UniFAR-FTUs huggingface dataset:
META: Memory Exploration Tool for Android Devices

Handheld devices are becoming increasingly common in today's world. With every passing year, the diversity of applications (apps) being supported by mobile platforms is growing manyfold. In addition, Android, the most popular handheld OS in the market is releasing a new version every year, with a newer and richer set of APIs, enabling the next generation of feature-rich applications. To support these apps, hardware requirements of these devices are increasing rapidly. Mobile SoCs need a larger number of faster cores, better GPUs and above all, higher DRAM capacities to do justice to user experience. To augment capacity requirements, non-volatile memories (NVMs) have been proposed as a potential addition to LPDDR variants, which have been the mainstay of mobile SoCs. However, few tools exist to carry out architectural design space exploration of main memory hierarchies featuring NVMs for newer Android and app versions. In this paper, we present META, a trace based tool for facilitating the exploration of memory hierarchies in mobile devices. META uses an enhanced version of Android emulator for generating raw instruction traces. These traces are then fed into a cache hierarchy and memory simulation modules to carry out design space exploration for a wide variety of apps and memory technologies.
Effect of Terminal Group Modification on the Solution Properties of Dendrimers: A Molecular Dynamics Simulation Study

We study the static and dynamic properties of amphiphilic dendrimers of generation 3 through 7 in an explicitly modeled solvent with molecular dynamics. All interior monomers are solvophobic while the terminal monomers are varied from all solvophobic to all solvophilic, with a number of nonuniform solvophobic/solvophilic terminal monomer arrangements investigated. For generations 6 and 7, crowding at the dendrimer surface forces some solvophilic monomers into the interior of the molecule. The nonuniformly surface-modified dendrimers are studied to examine how different arrangements of terminal monomers might affect dendrimer conformation. In all cases with solvophilic terminal monomers we find the solvophilic monomers congregating at the surface; thus, the dendrimer adopts the form of a unimolecular micelle. For generation 5 and smaller, the terminal monomer arrangement has no effect on the static or dynamic properties. For generations 6 and 7, a minimum number of bonds between the two types of terminal m.
Brackets with (τ,σ)-derivations and (p,q)-deformations of Witt and Virasoro algebras

Abstract The aim of this paper is to study some brackets defined on (τ,σ)-derivations satisfying quasi-Lie identities. Moreover, we provide examples of ( p , q ) ${(p,q)}$ -deformations of Witt and Virasoro algebras as well as 𝔰 ⁢ 𝔩 $\mathfrak{sl}$ (2) algebra. These constructions generalize the results obtained by Hartwig, Larsson and Silvestrov on σ-derivations, arising in connection with discretizations and deformations of algebras of vector fields.
Using Facebook as a Collaborative and Communicative Tool

This study discusses the acceptance of the utilisation of Facebook as a communication tool and collaborative educational tool amongst secondary school students in the district of Kulim, Kedah, Malaysia. This study is based on the five constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) model proposed by Venkatesh, Morris, Davis and Davis (2003). These five constructs are performance expectancy, effort expectancy, social influence, facilitating conditions and behavioral intentions. The respondents for this study were 210 secondary school students who were randomly selected in the Kulim district. The data for this study was elicited through questionnaires adapted from Venkatesh et al. (2003). The data were analyzed using the Statistical Package for the Social Science (SPSS) and Partial Least Squares (SmartPLS). The results showed that performance expectations (PE) (β =-0.018, p > 0.01), effort expectations (EE) (β = 0.242, p > 0.01) facilitating conditions (FC) (β = 0.330, p > 0.01and for social influence (SI) (β = 0.260, p >0.01) do not have a significant positive impact on behavioral intentions (BI). The value for R2 = 0.532 indicates that 53.2 % of the variance in the use of Facebook applications for communication and collaboration can be explained by the BI. The study also revealed that the either PE, EE, SI or FC showed a significant correlation with the BI. These findings have an important implication for the development of education. The use of Facebook applications and other social media as a medium for collaboration and communication in the classroom could not promote quality teaching and learning. This study only examines the four constructs of the UTAUT model proposed by Venkatesh et al. (2003). However, given the model’s robustness in predicting user acceptance of technology, it is recommended that future studies look at different constructs such as attitudes and motivation, and also examine the moderating effects of age and sex on the BI and Use Behavior. DOI: 10.5901/mjss.2015. v6n1s1p286
Strategies for mitigating ammonia emissions from agroecosystems

Ammonia (NH3) volatilization is a significant pathway of nitrogen (N) loss from cropping systems. A number of studies have investigated the effects of management practices on NH3 emission, but the findings are sometimes contradictory or inconclusive. A meta-analysis was conducted to quantitatively synthesise the global literature on the strategies for mitigating NH3 emission from agricultural systems. Unlike qualitative reviews, a meta-analysis combines results from different studies to identify patterns among study results. The mitigation strategies included in our meta-analysis were: irrigation, N application method (deep placement), fertilizer type (ammonium-based vs. urea) and the use of urease inhibitors and controlled release fertilizers. Irrigation after fertilization and deep placement of N fertilizers decreased NH3 emission by around 35% and 65%, respectively. Ammonium-based fertilizers decreased NH3 loss by 31-75% when compared to urea. Both urease inhibitors and controlled release fertilisers effectively decreased NH3 volatilization by 54-68%. The findings provide critical information on how to minimize NH3 volatilization and increase N use efficiency and productivity in cropping systems.
The N3 Radical as a Discriminator between Ion-irradiated And UV-photolyzed Astronomical Ices

Infrared spectroscopy has been used to show that irradiation of solid N2 and N2-rich ices with 0.8 MeV protons produces the N3 (azide) radical. In contrast, no N3 was observed after solid N2 and N2-rich ices were photolyzed by far-UV photons. Isotopic substitution experiments support the N3 identification, as does an analysis of the reactions occurring in the ices. This is the first documented difference in reaction products between the radiation chemistry and photochemistry of a nonpolar astronomical ice analog. We suggest that this difference in reaction chemistries could be used to identify ion-irradiated ices on interstellar grains and in the outer solar system. Further, N3 might be used as a tracer of solid-phase interstellar N2, which is expected to exist in dark, molecular clouds but is difficult to observe directly. Although the absolute strength of the N3 band in solid N2 is unknown, we estimate that it is at least 100 times greater than that of the fundamental vibration of N2.
Disjoint bilinear programming: a two-stage robust optimization perspective

In this paper, we focus on a subclass of quadratic optimization problems, that is, disjoint bilinear programming problems. We show that disjoint bilinear programming problems can be cast as two-stage robust linear optimization problems with fixed-recourse and right-hand-side uncertainty, and techniques for two-stage robust optimization can be used to solve the resulting problems. To this end, a scheme based on a blending of Fourier-Motzkin elimination and linear decision rules is used. Moreover, we show that the approximation via linear decision rules for the two-stage robust optimization reformulation is equivalent to applying a reformulation-linearization technique to the original disjoint bilinear problem. We then extend our approach to solve general bilinear problems. Numerical experiments on bimatrix games and concave quadratic minimization problems show that the proposed method is superior to the off-the-shelf solvers SCIP and CPLEX.
On the Convergence of the Truncated Lanczos Approach for the Trust-Region Subproblem

The so-called Trust-Region Subproblem gets its name in the trust-region method in optimization and also plays a vital role in various other applications. Several numerical algorithms have been proposed in the literature for solving small-to-medium size dense problems as well as for large scale sparse problems. The truncated Lanczos approach proposed in [Gould, Lucidi, Roma and Toint, SIAM J. Optim. , 9:504–525 (1999)] is a natural extension of the classical Lanczos method for the symmetric linear system and the symmetric eigenvalue problem to the trust-region subproblem. It mimics the classical Rayleigh-Ritz procedure for eigenvalue computations and is suitable for large scale problems. In this paper, we analyze the convergence of the truncated Lanczos approach and reveals its convergence behavior in theory. In particular, we develop quite sharp upper bounds for both the optimal objective value as well as the optimal solution. These bounds can be numerically estimated in an economical way to serve as practical stopping criteria for the truncated Lanczos approach. Numerical examples are reported to support our analysis.
Binding of trifluoperazine to apocalmodulin revealed by a combination of small-angle X-ray scattering and nuclear magnetic resonance

Small-angle X-ray scattering (SAXS) and nuclear magnetic resonance (NMR) studies were performed to investigate the binding of trifluoperazine (TFP) to Ca2+-free calmodulin (apoCaM) with N- and C-terminal globular domains connected by a linker. The SAXS and NMR measurements were taken throughout the titration of TFP. The SAXS analyses indicate that the binding of TFP induces structural changes from a dumbbell shape to a compact globular shape in solution. The formation of the complete globular structure requires 5.0 added equivalents of TFP. An analysis of NMR chemical-shift changes indicates that the C-terminal domain of apoCaM is involved in the binding of TFP. The SAXS and NMR data reflect the high structural flexibility of apoCaM.
Does leadership matter for healthcare service quality? Evidence from NHS England

Abstract In this article, we provide first-hand evidence that leadership quality matters for the quality of healthcare provision, based on NHS England hospital trust data between 2010 and 2014. This is the first paper to study this relationship using individual leadership styles, namely, task-, relations-, change- and integrity-oriented as independent variables and four different metrics of quality of healthcare as dependent variables, including staff and patient satisfaction survey measures and clinical performance indicators. We find that task-oriented leadership has the strongest effect on staff-rated hospital quality while change-oriented leadership affects most patient satisfaction and the clinical measure. We also find some evidence that organizational autonomy and competition across hospitals moderates the effect of leadership quality on healthcare quality. Overall, our results have important policy implications for continued support for the development and funding of integrated leadership programs in healthcare.
An inter-laboratory comparison of EPMA analysis of alloy steel at low voltage

We present the results of an inter-laboratory comparison of EPMA analysis at low voltage (5-6 kV) of three monophasic alloy steel samples. The aim of the work was to obtain an estimate of the present situation of low-voltage analysis of steel and identify needs for improvement. EPMA analyses of the samples were conducted by seven participant groups using electron microprobes and scanning electron microscopes of different kind, equipped with wavelength- and/or energy-dispersive X-ray spectrometers, and employing their own methodology of analysis. The results using WDS showed essentially an underestimation of the Cr contents, with relative deviations from the reference values ranging from -0.7 % to -17 %, and an overestimation of Fe and Ni, with relative deviations from the reference composition ranging from -4 % to +30 %, and from +14 % to +42 %, respectively. The relative deviations obtained by using EDS showed larger scatter, ranging from -16 % to +54 % for Cr, -0.4 % to +66 % for Fe and from +13 % to +90 % for Ni. Reasons for the differences observed and the scatter of results are discussed.
Thermal emission from large area chemical vapor deposited graphene devices

The spatial variation of thermal emission from large area graphene grown by chemical vapor deposition, transferred onto SiO2/Si substrates and fabricated into field effect transistor structures, has been investigated using infra-red microscopy. A peak in thermal emission occurs, the position of which can be altered by reversal of the current direction. The experimental results are compared with a one dimensional finite element model, which accounts for Joule heating and electrostatic effects, and it is found that the thermal emission is governed by the charge distribution in the graphene and maximum Joule heating occurs at the point of minimum charge density.
Risk Arbitrage and the Prediction of Successful Corporate Takeovers

Risk arbitrage, in its most common usage, refers to the purchase of the securities of a firm targeted for acquisition. By purchasing shares immediately after a definite cash tender or exchange offer is established, an investor is able to lock in the fixed spread that typically exists between the offer price and the postannouncement market price for the target firm. Of course, this price differential will only be guaranteed if the merger ultimately occurs. Thus, the primary function of the risk arbitrageur is to determine the likelihood that a proposed takeover will succeed, thereby substituting event risk for market risk in the process. Until recently, risk arbitrage has been a game played almost exclusively by the institutional specialist. Welles [17] noted that although the strategy has been employed since the 1930s it was not until the merger wave of the last decade that the "shroud of mystery" surrounding takeover arbitrage was lifted for the general public. Perhaps the biggest reason for this pro-
Video Based Measurement of Heart Rate and Heart Rate Variability Spectrogram from Estimated Hemoglobin Information

In this paper, we propose an accurate remote observation of the heart rate (HR) and heart rate variability (HRV) based on extracted hemoglobin information which is based on detail skin optics model. We perform experiments to measure subjects at rest and under cognitive stress with the proposed method putting a polarized filter in front of camera to evaluate the principal of the framework. From the results of the experiments, the proposed method shows a high correlation with the electrocardiograph (ECG) which is assumed as the ground truth. We also evaluated the robustness against illumination change in simulation. We confirmed that the proposed method could obtain accurate BVP detection compared with other conventional methods since the proposed method eliminates the shading component through the process of the extraction of hemoglobin component.
Robust classification of Multi Class brain Tumor in MRI images using Hybrid Descriptor and Pair of RBF Kernel – SVM

In medical imaging, detecting and classifying the brain tumors in Magnetic Resonance Image (MRI) is a demanding and critical task. MRI gives anatomical structure's information, and the potential abnormal tissues' information. Thus, this paper proposes a new system for MRI brain tumor segmentation and classification. This work includes the following stages: preprocessing, segmentation, extraction of feature, selection of a feature, and classifying the images. Removing of Speckle and white Gaussian noise in the given MRI images is done in the preprocessing stage, by using the Distribution based Adaptive Filtering (DAF) technique. It smoothens the image by removing the noise and enhancing the intensity of the image. In segmentation stage, the clustering and label formation processes are performed to predict the tumor part. Here, the Neighboring Cellular Automata (NCA) model is proposed for clustering. Then, the labels such as Back Ground (BG), border area, Gray Matter (GM) and White Matter (WM) are formed for the clustered image. Hence, the features of the segmented image are extracted by using the Differential Binary Pattern (DBP) technique. After extracting the feature vectors, the firefly optimization technique is employed to select the best features. After selecting the set of features, the Pointing Kernel Classifier (PKC) is employed to classify both the abnormal and normal brain images and the type of brain tumors. The performance of the proposed method is evaluated using sensitivity, specificity, accuracy, correction rate, positive likelihood and negative likelihood.
Using Topological Properties to Measure the Strength of Co-authorship Ties

Studying the strength of ties in social networks allows to identify impact at micro-macro levels in the network, to analyze how distinct relationships play different roles, and so on. Indeed, the strength of ties has been investigated in many contexts with different goals. Here, we aim to address the problem of measuring ties strength in co-authorship social networks. Specifically, we present four case studies detailing problems with current metrics and propose a new one. Then, we build a co-authorship social network by using a real digital library and identify how the strength of ties relates to the quality of publication venues when measured by different topological properties. Our results show the best ranked venues have similar patterns of strength of co-authorship ties.
Sparse Index Tracking : An L 1 / 2 Regularization Based Model and Solution

In recent years, sparse modeling has attracted extensive attention and successfully applied in mean-variance portfolio selection for promoting out-ofsample properties and decreasing transaction costs. The existing applications are, however, L1 regularization based, which is invalid for the index tracking with budget and no-short selling constraints, and ineffective sometimes in promotion of sparsity and selection of regularization parameter. In this paper we propose an L1/2 regularization based sparse index tracking model to cater for the index tracking with budget and no-short selling constraints. We formalize a hybrid half thresholding algorithm for fast solution of the model, by applying the half thresholding representation theory in L1/2 regularization paradigm. The proposed model and algorithm are empirically tested on eight data sets from OR-library. The tests show that the new model can effectively solve the index tracking problems, and the resulted tracking portfolio is of higher sparsity, lower out-of-sample prediction error and higher consistency of in-sample and out-of-sample performance, as compared with other competitive methods. The algorithm suggested is parameter-free and allows the regularization parameter to be set adaptively in a nearly optimal way whenever the number of constituents of expected portfolio is fixed, the algorithm therefore provides a very convenient and fast solver for the index tracking, especially for the large scale problems.
An Effective Implementation Approach for Adapting of HPC Applications

The work considers an approach to the adaptation of applications that use algorithms proven to be successful and developed with the help of computers that do not have a high degree of parallelism, though in a number of implementations they require a sharp reduction in the computing time. A natural way-out is to transfer the algorithm solution to a highly parallel heterogeneous processing environment, i.e. hybrid supercomputer. Unfortunately, the result does not always meet expectations. The challenge is the need to consider architectural features of the supercomputer and the corresponding translation of the generic algorithm, while maintaining its semantic features, i.e. the development of parallel software of the generic algorithm scalable to allocated supercomputer resources. Available approaches to the software parallelization deliver superb results when algorithms demonstrate obvious parallelism. Otherwise, their transformation to the parallel representation requires an analysis of dependencies in parallel threads on data and costs of the parallel supercomputer execution. In this paper, we present an algorithm analysis technique that allows to determine fragments for a significant reduction in the computing time during the parallel execution. The result is a algorithm specification work schedule that ensures the effective solution, using the supercomputer. The schedule is used to create the dedicated control over the execution of an parallelized algorithm for its effective solution with the help of hybrid supercomputer resources. The work shows results of the implementation of the developed technique in terms of the genetic research.
ALMA HINTS AT THE PRESENCE OF TWO COMPANIONS IN THE DISK AROUND HD 100546

HD 100546 is a well-studied Herbig Be star-disk system that likely hosts a close-in companion with compelling observational evidence for an embedded protoplanet at 68 AU. We present Atacama Large Millimeter/Submillimeter Array observations of the HD 100546 disk which resolve the gas and dust structure at (sub)millimeter wavelengths. The CO emission (at 345.795 GHz) originates from an extensive molecular disk (390 ± 20 AU in radius) whereas the continuum emission is more compact (230 ± 20 AU in radius), suggesting radial drift of the millimeter-sized grains. The CO emission is similar in extent to scattered light images indicating well-mixed gas and micrometer-sized grains in the disk atmosphere. Assuming azimuthal symmetry, a single-component power-law model cannot reproduce the continuum visibilities. The visibilities and images are better reproduced by a double-component model: a compact ring with a width of 21 AU centered at 26 AU and an outer ring with a width of 75 ± 3 AU centered at 190 ± 3 AU. The influence of a companion and protoplanet on the dust evolution is investigated. The companion at 10 AU facilitates the accumulation of millimeter-sized grains within a compact ring, ≈20–30 AU, by ≈10 Myr. The injection of a protoplanet at 1 Myr hastens the ring formation (≈1.2 Myr) and also triggers the development of an outer ring (≈100–200 AU). These observations provide additional evidence for the presence of a close-in companion and hint at dynamical clearing by a protoplanet in the outer disk.
Linking Organizational Structure, Technological Support and Process Innovation: the Mediating Role of Knowledge Sharing in the Iraqi Textile Industry

This paper investigates the relationships among organizational structure, technological support, knowledge sharing and process innovation and whether knowledge sharing has a mediating effect on these relationships. Based on the survey among employees in the Iraqi textile industry, the results revealed that organizational structure and technological support positively and significantly influence knowledge sharing. Knowledge sharing was also found to be an important mediator between organizational structure, support technology and process innovation. The findings bear implications to the Iraqi government’s call for innovation in the Iraqi textile industry.