Miracle-dz/UniFAR-FTUs huggingface dataset:
A hierarchical architecture for on-line control of private cloud-based systems

Several enterprise data centers are adopting the private cloud computing paradigm as a scalable, cost-effective, robust way to provide services to their end users. The management and control of the underlying hw/sw infrastructure pose several interesting problems. In this paper we are interested to evidence that the monitoring process needs to scale to thousands of heterogeneous resources at different levels (system, network, storage, application) and at different time scales; it has to cope with missing data and detect anomalies in the performance samples; it has to transform all data into meaningful information and pass it to the decision process (possibly through different, ad-hoc algorithms for different resources). In most cases of interest for this paper, the control management system must operate under real-time constraints. We propose a hierarchical architecture that is able to support the efficient orchestration of an on-line management mechanism for a private cloud-based infrastructure. This architecture integrates a framework that collects samples from monitors, validates and aggregates them. We motivate the choice of a hierarchical scheme and show some data manipulation, orchestration and control strategies at different time scales. We then focus on a specific context referring to mid-term management objectives. We have applied the proposed hierarchical architecture successfully to data centers made of a large number of nodes that require short to mid-term control and in our experience we can conclude that it is a viable approach for the control of private cloud-based systems.
The Magnitude of Cultural Factors That Affect School Enrolment and Retention in Afghanistan: An Analysis Through Hofstede’s Cultural Model

This study aims to measure the magnitude of the cultural factors that affect enrolment and retention in both primary and secondary education levels in Afghanistan and advocate cultural transformation or modification in Afghanistan to enhance enrolment and retention in school. The study uses quantitative and particularly qualitative data regarding cultural constraints to school enrolment and retention in Afghanistan from secondary sources like Afghan government publications, private publications, publications from non-government organizations, journal articles, newspaper articles, newsletter articles, web documents, dissertations, published interviews, database articles, and books. It employs Hofstede’s cultural dimensions model to analyze the cultural factors. However, the study found out that on the scale of Geert Hofstede’s cultural dimensions model, Afghan culture was characterized by high degree of power distance, masculinity, i.e., conventional gender role focus, high level of uncertainty avoidance, and long term orientation that were deterrents to education in Afghanistan. Finally, it recommends a culture with low level of power distance, femininity focus, low degree of uncertainty avoidance, and long term orientation to increase school enrolments and retention in Afghanistan.
Au Nanoparticle Formation from Amorphous Au/Si Multilayer

By direct observations of transmission electron microscopy (TEM), irreversible morphological transformations of as-deposited amorphous Au/Si multilayer (a-Au/a-Si) were observed on heating. The well arrayed sequence of the multilayer changed to zigzag layered structure at 478 K (=Tzig). Finally, the zigzag structure transformed to Au nanoparticles at 508 K. The distribution of the Au nanoparticles was random within the thin film. In situ X-ray diffraction during heating can clarify partial crystallization Si (c-Si) in the multilayer at 450 K (= ), which corresponds to metal induced crystallization (MIC) from amorphous Si (a-Si) accompanying by Au diffusion. On further heating, a-Au started to crystallize at around 480 K (=Tc) and gradually grew up to 3.2 nm in radius, although the volume of c-Si was almost constant. Continuous heating caused crystal Au (c-Au) melting into liquid AuSi (l-AuSi) at 600 K (= ), which was lower than bulk eutectic temperature ( ). Due to the AuSi eutectic effect, reversible phase transition between liquid and solid occurred once temperature is larger than . Proportionally to the maximum temperatures at each cycles (673, 873 and 1073 K), both and Au crystallization temperature approaches to . Using a thermodynamic theory of the nanoparticle formation in the eutectic system, the relationship between and the nanoparticle size is explained.
The reasoning skills and thinking dispositions of problem gamblers: a dual‐process taxonomy

We present a taxonomy that categorizes the types of cognitive failure that might result in persistent gambling. The taxonomy subsumes most previous theories of gambling behavior, and it defines three categories of cognitive difficulties that might lead to gambling problems: The autonomous set of systems (TASS) override failure, missing TASS output, and mindware problems. TASS refers to the autonomous set of systems in the brain (which are executed rapidly and without volition, are not under conscious control, and are not dependent on analytic system output). Mindware consists of rules, procedures, and strategies available for explicit retrieval. Seven of the eight tasks administered to pathological gamblers, gamblers with subclinical symptoms, and control participants were associated with problem gambling, and five of the eight were significant predictors in analyses that statistically controlled for age and cognitive competence. In a commonality analysis, an indicator from each of the three categories of cognitive difficulties explained significant unique variance in problem gambling, indicating that each of the categories had some degree of predictive specificity. Copyright © 2006 John Wiley & Sons, Ltd.
Robustness and Up-to-us-ness

Abstract Frankfurt-style cases purport to show that an agent can be morally responsible for an action despite not having any alternatives. Some critics have responded by highlighting various alternatives that remain in the cases presented, while Frankfurtians have objected that such alternatives are typically not capable of grounding responsibility. In this essay I address the recent suggestion by Seth Shabo that only alternatives associated with the ‘up to us’ locution ground moral responsibility. I distinguish a number of kinds of ability, suggest which kinds of abilities ground the truth of the ‘up to us’ locution, and outline how these distinctions apply to the indeterministic buffer cases.
A uniform description of an oscillator's resonant transition

Abstract A uniform approximation to the description of a linear oscillator's slow resonant transition is calculated. If the time scale of the transition is ɛ−1, the approximation contains explicitly the 0(1) and 0(ɛ½) terms, and fixes a uniform 0(ɛ) error bound.
R&D NETWORKS AND REGIONAL KNOWLEDGE PRODUCTION: AN AGENT-BASED SIMULATION OF THE AUSTRIAN COMPETENCE CENTRES PROGRAMME

Publicly funded competence centres have gained high recognition for improving science-industry collaboration. With the requirement for long-term and geographically concentrated R&D, competence centres provide an environment for joint learning and transfer of “sticky” knowledge. The objective of this paper is to investigate how a competence centres programme affects knowledge production in the regional innovation system. In order to address this issue, we draw on a simulation approach and develop an agent-based model of the Vienna Life Sciences innovation system. Companies, research organisations and universities are heterogeneous agents that create scientific publications, patents, as well as high-tech jobs. Simulation runs refer to long-term scenarios regarding the level and duration of public funding. By addressing the complexities of knowledge interaction in the context of the “local buzz” versus “global pipelines” discussion, the results show the potential of empirically calibrated simulation models for ex-ante impact assessment in R&D policy.
Preliminary genetic parameters for feed intake and efficiency in feedlot cattle.

D.L. Robinson, V.H. Oddy and C. Smith Animal Genetics and Breeding Unit’, NSW Agriculture & CRC for the Cattle and Beef Industry, University of New England, Armidale, NSW 235 1 SUMMARY Preliminary results are presented on feed efficiency of 1165 cattle with growth and feed intake measurements recorded at the Tullimba feedlot near Armidale, NSW. Feed efficiency was calculated as the residual from a regression equation relating feed intake to metabolic weight and gain, where gain was calculated (for the period intake was measured) either as the difference between start and end weights in the automatic feeder pens, or from a modelling process using random regression curves for each animal over the most or all the time animals were in the feedlot, irrespective of whether intake was being recorded. The latter measure of efficiency proved more heritable (28% vs 18%) and had lower genetic correlations with intake, rump and rib fat and intra-muscular fat (42%, 26%, 28% and 17%) than using actual gain (69%, 33%, 27% and 53%). A measure of feed efficiency derived from nutritional requirements for maintenance and weight gain was also analysed. The variance of this measure was dominated by measurement errors of weight gain, so had a heritability of 4%. Implications of these findings are discussed.
Multipurpose weighting for small area estimation

Sample surveys are generally multivariate, in the sense that they collect data on more than one response variable. In theory, each variable can then be assigned an optimal weight for estimation purposes. However, it is a distinct practical advantage to have a single weight for all variables collected in the survey. This article describes how such multipurpose sample weights can be constructed when small area estimates of the survey variables are required. The approach is based on the model-based direct (MBD) method of small area estimation described in Chandra and Chambers (2005). Empirical results reported in this article show that MBD estimators for small areas based on multipurpose weights perform well across a range of variables that are often of interest in business surveys. Furthermore, these results show that the proposed approach is robust to model misspecification when applied to variables (e.g., those that contain a significant proportion of zeros) that are not suited to linear model-based small area estimation methods.
CO 2 , CH 4 and N 2 O fluxes from soil of a burned grassland in Central Africa

Abstract. The impact of fire on soil fluxes of CO2, CH4 and N2O was investigated in a tropical grassland in Congo Brazzaville during two field campaigns in 2007–2008. The first campaign was conducted in the middle of the dry season and the second at the end of the growing season, respectively one and eight months after burning. Gas fluxes and several soil parameters were measured in each campaign from burned plots and from a close-by control area preserved from fire. Rain events were simulated at each campaign to evaluate the magnitude and duration of the generated gas flux pulses. In laboratory experiments, soil samples from field plots were analysed for microbial biomass, net N mineralization, net nitrification, N2O, NO and CO2 emissions under different water and temperature soil regimes. One month after burning, field CO2 emissions were significantly lower in burned plots than in the control plots, the average daily CH4 flux shifted from net emission in the unburned area to net consumption in burned plots, no significant effect of fire was observed on soil N2O fluxes. Eight months after burning, the average daily fluxes of CO2, CH4 and N2O measured in control and burned plots were not significantly different. In laboratory, N2O fluxes from soil of burned plots were significantly higher than fluxes from soil of unburned plots only above 70% of maximum soil water holding capacity; this was never attained in the field even after rain simulation. Higher NO emissions were measured in the lab in soil from burned plots at both 10% and 50% of maximum soil water holding capacity. Increasing the incubation temperature from 25 °C to 37 °C negatively affected microbial growth, mineralization and nitrification activities but enhanced N2O and CO2 production. Results indicate that fire did not increase post-burning soil GHG emissions in this tropical grasslands characterized by acidic, well drained and nutrient-poor soil.
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Abstract.Abstract. Abstract. In this paper, we propose a new technology that improves Diffie-Hellman’s safeness and keeps its good property.The technology is called “Hyperbolic Curve Cryptography System” (HCCS) which is designed on hyperbolic curve over finite filed. HCCS has a solid Abel group structure whose order is diverse over finite field and the system is secure which is mainly based on discrete logarithm problem (DLP) and hardness of solving fundamental solution. Compared with Diffie-Hellman, HCCS has the same calculation complexity, but it has excellently flexible. Therefore, HCCS can improve information technology’s safeness.
Medaka Proteome Study: Use of Cross-species Matching and Expressed Sequence Tag Data for Protein Identification

Proteomics aims to understand gene function and molecular processes of the living cell through a large-scale study of the expressed proteins. Although proteomics approach is largely applied on experimental models such as rodents, other animal models such as medaka fish (Oryzias latipes) also attracts considerable interest in proteomics field. Medaka is one of the most studied animal model in r eproductive or developmental biology. Although, its genome has been sequenced, only a few proteins are available in the databases. We pr esent the procedure used in one experiment as a model of identificatio n of proteins, in this case from liver of medaka treated by a hepatotoxic cyanotoxin, the microcystin. Because O. latipes is not listed in mascot search engine, the identification of proteins (selected because modified by the treatment) was done on closed related species. First, 15 spots were analyzed using peptide mass fingerprinting (PMF). However none could be reliably identified using mascot engine. The reason for low sequence coverage is due to the fact that the outcome of the research depends on the completness of the protein database obtained from NCBInr and the availability of cross-species for protein identification. In order to improve the identification, the PMF search was combined with a search in a medaka nucleotide specific database and confirmed by MS/MS ion searches which revealed successful. This identification procedure has been successfully applied in different experiments with the medaka model.
Stress perturbations and seismic response associated with the 2011 M9.0 Tohoku‐oki earthquake in and around the Tokai seismic gap, central Japan

The M9.0 Tohoku‐oki event is the largest earthquake in Japan's modern history. Social concerns and scientific interests require an urgent evaluation of this event's impact on other megathrust zones nearby Japan. Here we investigate the stress transfer from the Tohoku‐oki event on the Tokai subduction zone, where an M8‐class megathrust earthquake has been long‐time anticipated. First we demonstrate that the clear increase of crustal seismicity around Izu Peninsula, near the Tokai gap, is the consequence of a Coulomb static stress increase due to the Tohoku‐oki earthquake, calculated using a variable slip model for the mainshock and regional focal mechanisms of events occurred before and after the M9.0 earthquake. The largest stress increase is of about 1.0 bar, as estimated on earthquake nodal planes of maximum stress change. The time‐decay characteristics of the activated seismicity favor the triggering by static stresses. Such validations of the Coulomb hypothesis support our stress perturbation assessment on the Tokai gap. To precisely calculate the stress changes on the Tokai source, we use the curved plate interface and plate‐motion inferred rake directions. The computed stress changes are predominantly positive but have relatively small values, of less than 0.1 bar. The large afterslip (Mw8.6) and the aftershocks following the Tohoku‐oki earthquake caused additional, but minor, stress increases. Our results imply that the stress‐state on the Tokai plane did not change significantly after the Tohoku‐oki event, however static stress driven seismic activation in neighboring areas can bring a secondary impact on the interplate seismicity.
Generalized Einstein relation: A stochastic modeling approach

generalized Einstein relation between anomalous diffusion and the linear response of the walkers to an external fieldF is studied, using a stochastic modeling approach. A departure from the Einstein relation is expected for weak external fields and long times. We investigate such a departure using the Scher-Lax-Montroll model, defined within the context of the continuous time random walk, and which describes electronic transport in a disordered system with an effective exponent d,1. We then consider a collision model which for the force
Neural Fuzzy Inference System Modelling with Different Input Vectors for Rainfall-Runoff Prediction

A convenient and acceptable technique to develop mathematical models is through conceptual formulation and statistical development while integrating the effects of various variables on these physical processes. Overemphasizing on these techniques could result in an increase in complexity of model which in turn influence the performance of the model. In this study, one conjunction model combining wavelet-neuro-fuzzy for runoff forecast is proposed and compared with simple neuro-fuzzy inference system. The inflow series to the conjunction model has been decomposed by wavelet transform. The performance of the conjunction model under the changed inflow parameters has been compared with the simple model. The results show that both the model performed well, however, increase in complexity of a model does not necessarily increase the performance of the model.
Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration

Human intention inference is the ability of an artificial system to predict the intention of a person. It is important in the context of human-robot interaction and homeland security, where proactive decision making is necessary. Human intention inference systems at test time is given a partial sequence of observations rather than a complete one. At a trajectory level, the observations are 2D/3D spatial human trajectories and intents are 2D/3D spatial locations where these human trajectories might end up. We study a learning approach where we train a model from complete spatial trajectories, and use partial spatial trajectories to test intention predictions early and accurately. We use non-parametric Gaussian Process Regression (GPR) as the learning model since GPR has been shown to model subtle aspects of human trajectory very well. We also develop a simple geometric transfer technique called Naive Registration (NR) that allows us to learn the model using training data in a source scene and then reuse that model for testing data in a target scene. Our results on synthetic and real data suggests that our transfer technique achieves comparable results as the technique of training from scratch in the target scene.
Relation of soil-, surface-, and ground-water distributions of inorganic nitrogen with topographic position in harvested and unharvested portions of an aspen-dominated catchment in the Boreal Plain

Spatial distributions of soil extractable nitrate (NO3 ) and ammonium (NH4 ) concentrations were related to surface- and ground-water NO3 and NH4 concentrations in harvested and forested sections of a catchment dominated by trembling aspen (Populus tremuloides Michx.) in the subhumid boreal forest of Alberta, Canada. NO3 and NH4 con- centrations in soils varied spatially throughout the catchment and were larger in surface soils than in subsurface soils. Spatial distributions of soil inorganic nitrogen (N) concentrations were not explained by the harvested versus the unhar- vested condition; heterogeneity was instead related to topographic position. NO3 concentrations in both surface and subsurface soils were largest in ephemeral draws and wetlands. NH4 concentrations in subsurface soils were largest in ephemeral draws and wetlands, but this pattern was not apparent for surface soils. Soil NO3 and NH4 availability and surface- and ground-water NO3 and NH4 concentrations reflected soil NO3 and NH4 concentrations. N-rich surface soils in both forested and harvested areas have a large potential for releasing N to surface waters. This study indicates that even though topography is subtle in this catchment, topographic position and its soil moisture relations, along with vegetation demand, can influence N transformation and transport in both forested and harvested portions of the Boreal Plain landscape.
Authentic leadership, trust and work engagement amongst health care workers

In South Africa, the current state of public healthcare calls for urgent intervention in order to offer quality services to those in need. This sector requires the proper use of leadership, by means of employing an individual in a leadership positon who will be able to lead by example and conduct work in an authentic manner. The main aim of this study was to conduct a thorough investigation into the relationship between authentic leadership and work engagement, through the indirect effects of trust. In this study a non-experimental cross-sectional survey was used, with a total sample of 633 employees from various public health care institutes. Measuring instruments included the Authentic Leadership Inventory, Workplace Trust Survey and the Utrecht Work Engagement Scale. Structural equation modelling was utilised to assess the hypothesised measurement and structural models using Mplus. Both the trust referents (trust in co-worker and trust in supervisor) played a significant role in the relationship between authentic leadership and work engagement. Results indicated that authentic leadership through trust in co-worker had a greater indirect effect on work engagement than through trust in supervisor, although both showed a significant impact. It was also found that a direct path does not exist between authentic leadership and work engagement; however, factors such as trust in co-worker and trust in supervisor can help in strengthening the relationship between authentic leadership and work engagement in this sector. It is recommended that the public health care sector, develop interventions that will apply the principles of authentic leadership.