Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Complexity Leadership Behaviour In SMEs : Lessons From A Turbulent Business Environment

This paper seeks to analyze complexity leadership behavior in Small and Medium Enterprises (SMEs) that operate in a turbulent business environment such as this one in South-Eastern Europe. Exploratory research in four case-studies has been conducted. The investigation was based on the analysis of both primary and secondary data. The former gathered through indepth face-to-face interviews with managers while the latter refers to documentation analysis regarding regulations and procedures. Findings indicate that loose organic structures, job rotations, intra organizational relationships, and allowance of self-organization are the most prevalent management behaviors that can enhance business effectiveness. In addition, the lack of role clarity, internal mess, ambiguity, and lack of strategic vision have negative consequences on organizational performance. The contribution of this study lies in the fact that expands our knowledge on complexity view of organizations by exploring managerial attitude in SMEs within a complex business environment as well as by identifying appropriate complex leadership styles nurturing organizational effectiveness. In this respect it attempts to provide a systematic view of the impact of different Complexity Leadership behavior exhibited on the organizational performance.
FIFTH INTERNATIONAL CONGRESS ON SOUND AND VIBRATION DECEMBER 15-18, 1997 ADELAIDE, SOUTH AUSTRALIA Invited Paper A CONVENIENT ACCURACY CRITERION FOR TIME DOMAIN FE-CALCULATIONS

An accuracy criterion that is well suited to time domain finite element (FE) calculations is presented. It is then used to develop a method for selecting time steps and element meshes that produce accurate results without significantly overburdening the computer. Use of this method is illustrated with a simple example, where comparison with an analytical solution shows that results are sufficiently accurate, which is not always the case with more primitive methods for determining the discretisation.
UvA-DARE ( Digital Academic Repository ) The psychological roots of populist voting : Evidence from the United States , the Netherlands and Germany

What are the psychological roots of support for populist parties or outfits such as the Tea Party, the Dutch Party for Freedom or Germany’s Left Party? Populist parties have as a common denominator that they employ an anti-establishment message, which they combine with some ‘host’ ideology. Building on the congruency model of political preference, it is to be expected that a voter’s personality should match with the message and position of his or her party. This article theorises that a low score on the personality trait Agreeableness matches the anti-establishment message and should predict voting for populist parties. Evidence is found for this hypothesis in the United States, the Netherlands and Germany. The relationship between low Agreeableness and voting for populist parties is robust, controlling for other personality traits, authoritarianism, sociodemographic characteristics and ideology. Thus, explanations of the success of populism should take personality traits into account.
ON BIOCONTROL RELATED GENES OF Trichoderma sp . AND Chaetomium spp

In order to identify the bio-control related genes from Trichoderma harzianum, Chaetomium cuperium and C. globosum, the expressed sequence tags (ESTs) of these plant disease bio-control fungi were determined. The cDNA libraries of those fungi were constructed from their mycelia and induced cultures. ESTs of the fungi were sequenced. Analysis of those sequences showed that more than 100 genes from the fungi are plant disease bio-control related genes although more possible bio-control related genes are still to be investigated. The biocontrol related genes are very important for new bio-fungicide development in the future.
regolith thickness feedback − weathering Emergence of pediments , tors , and piedmont junctions from a bedrock

Sediment erosion laws form the basis for most landscape evolution models and guide geomorphologists in the pursuit of understanding how landscapes evolve. This focus on the alluvial surface, however, ignores the role of intrinsic feedbacks between sediment transport and bedrock weathering in shaping Earth’s landforms. Here, we present a new, parsimonious explanation for the origin and maintenance of pediments, piedmont junctions, and tors, which emerge spontaneously in a numerical model coupling bedrock weathering and sediment transport. The spatial uniformity of the thin regolith mantle that often characterizes pediments is a manifestation of a negative feedback between bedrock weathering and regolith thickness: if regolith thins (thickens) by sediment transport, the regolith production rate will increase (decrease), maintaining an equilibrium regolith thickness on the piedmont. We propose that high infiltration capacities and the instability of ephemeral channel banks in arid and semiarid environments suppress fluvial incision and promote the smoothness of pediments. A positive feedback between bedrock weathering and regolith thickness causes tor growth: if regolith thins locally below a critical value, regolith production slows while surrounding areas continue to weather and erode more rapidly. We suggest that many pedimented and tor-studded landscapes may therefore be a consequence of intrinsic sediment transport–weathering feedbacks mediated by climatic and tectonic conditions, not by lithologic templates.
EFFECT OF STOCKING DENSITY ON GROWTH PERFORMANCE , MEAT QUALITY AND FIBRE PROPERTIES OF BICEPS FEMORIS MUSCLE OF SLOW-GROWING RABBITS

The aim of the present work was to evaluate the effect of stocking density on growth performance, meat quality and fibre properties of Biceps femoris (BF) muscle of Czech White rabbits. A total of 20 rabbits (40 days old) were randomly allocated to two groups (10 rabbits per treatment) and reared at a different stocking density: group SC (small cage, 40 x 50 x 43 cm) at the density of 10 rabbits/m (2 animals/cage) and group LC (large cage, 60 x 80 x 43 cm) at the density of 4 rabbits/m (2 animals/cage). Animals were fed ad libitum pelleted feed. Rabbits were weighed every 7 days and feed intake was measured every day. At the end of experiment (89 days of age), all rabbits were slaughtered and used for the evaluation of carcass and meat traits. Stocking density had no significant effect on growth performance. There were no significant differences between groups with regard to hot carcass weight or the dressing-out percentage. The proportions of both perirenal and total dissectible fat were significantly lower in rabbits reared at the lower stocking density than in rabbits reared at the higher stocking density. There were no significant differences between groups for ultimate pH values or proximate chemical composition of hind leg meat. Similarly, meat colour (Lab) assessed on the BF surface was not affected by stocking density. Hind leg meat of rabbits reared at the lower stocking density contained less lauric (P=0.008) and myristic acid (P=0.033). There were significantly higher percentages of βR fibres and αR fibres and a significantly lower percentage of αW fibres in rabbits reared at the lower stocking density. The mean cross-sectional area and diameter of βR fibres were significantly smaller in rabbits reared at the lower stocking density than in rabbits reared at the higher stocking density. It can be concluded that a lower stocking density affected fatty acid profile and fibre characteristics of BF muscle of rabbits in a beneficial way and could provide an important nutritional benefit to humans.
Diversity of Yeasts and Their Ethanol Production at high Temperature

© 2018 Vasana Tolieng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License -NonCommercialShareAlikeUnported License (http://creativecommons.org/licenses/by-nc-sa/3.0/). *Corresponding Author Vasana Tolieng, Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok 10330, Thailand. E-mail: tvasana @ chula.ac. th Diversity of Yeasts and Their Ethanol Production at high Temperature
The Introduction of a CO 2 Emissions Trading System for Realizing an East Asian Low-Carbon Community

Based on a scenario study of the introduction of CO2 emissions trading system using Glocal Century Energy Environment Planning (G-CEEP) model, this study proposes a policy framework of East Asian Low-Carbon Community among Japan, Korea and China, which is similar to EU Emissions Trading System (EU ETS). Achieving the CO2 emission reduction targets in 2020, Japan, Korea and China would reduce 40.9%, 41.1% and 11.5% of their total abatement costs, if an East Asian Low-Carbon Community could be built by introducing carbon trading. For carbon credit selling countries such as China, they also gain extra carbon reductions and "cleaner" environments. The carbon leakage in this carbon trading scenario shows a negative result of -1.79%, indicating that there is no carbon leakage and even more carbon emissions are reduced than no trading scenario. In this sense, an East Asian Low-Carbon Community is worth considering to deal with the problem of global warming.
: Collection of siRNA , miRNA , and snoRNA database for RNA interference

Objective: The discovery of sequence specific gene silencing which occurs due to the presence of double-stranded RNAs has considerable impact on biology, revealing an unknown level of regulation of gene expression. This process is known as RNA interference (RNAi) or RNA silencing in which RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecule. Two types of small RNA molecules-small interfering RNA (siRNA) and microRNA (miRNA) are central to RNA interference. Therefore, SiMiSnoRNA database has been developed to focus on the efficient storage of RNA interferences or small RNA sequences and qualitative analysis of its structures across variety of organisms. Methods: SiMiSnoRNA database is developed using WAMP server which implements Apache, MySQL, and PHPas principal components. Results: A flexible web-based search engine is developed to obtain fast access to specific small RNA sequence information. Conclusion: BLAST search analysis within SiMiSnoRNA enables users to compare their own query sequence data with SiMiSnoRNA database to retrieve related information. To facilitate data consistency, publicly available information from NCBI has been integratedinto database that can be conveniently used for research on the experimental and molecular biology.
Equation of state data of plastic foams at Mbar pressures

In this paper we present Hugoniot data for plastic foams obtained with laser-driven shock. Relative Equation-of-State data for foams were obtained using Al as a reference material. The diagnostics consisted in the detection of shock breakout from double layer Al/foam targets. The foams (poly(4methyl-1-pentene) with density 130 > ρ > 60 mg/cm) were produced at the Institute of Laser Engineering of Osaka University. The experiment was performed using the Prague PALS iodine laser working at 0.44 μm wavelength and irradiances up to a few 10 W/cm. Pressure as high as 3.6 Mbar (previously unreached for such low density materials) were generated in the foams. Samples with four different values of initial density were used, in order to explore a wider region of the phase diagram. Shock acceleration when the shock crosses the Al / foam interface were also measured.
Parents' Linguistic Alignment Predicts Children's Language Development

Children quickly gain enormous linguistic knowledge during early development, in part due to low-level features of their parents’ speech. Some posit that parents contribute to their child’s language development by tuning their own language according to their child’s developmental abilities and needs (Bruner, 1985; Snow, 1972). Here, we investigate this hypothesis by examining ‘alignment’ at the level of syntax and function words in a large-scale corpus of parent-child conversations and measuring its association with language development outcomes. To do so, we employ a statistical model of alignment to estimate its presence in our dataset and its predictive impact on a measure of vocabulary development. Our results corroborate previous findings, showing strong alignment for both parents and children; in addition, we demonstrate that parental alignment is a significant predictor of language maturity independent of demographic features, suggesting that parental tuning has strong ties to a child’s language development.
Source Code Preprocessing Call graph Text Hybrid Clustering Entry Point Selection Clusters FEAT Topoi

Program understanding aims at discovering humanreadable properties of a software project from the analysis of its source code. Recently, we proposed a smart approach based on hierarchical agglomerative clustering that extracts socalled program topoi from source code. These topoi are highlevel observable properties of the project. Based on textual and structural representations of the source code, our multi-steps approach clusters program topoi in an effective and efficient way. In this paper, we depict novel exploitation tasks of this program understanding approach and report on its application to Software Heritage. Software Heritage is an ambitious project which aims at collecting and archiving the biggest corpus of publicly available software source code. One of the project goals is to provide a new scientific instrument for computer scientists to evaluate advanced machine learning and software engineering methods on a very large source code repository. Our in-depth experiments reveal that unsupervised learning is the appropriate tool to mine and understand the biggest corpus of software source code ever produced.
Burning Velocity Measurements in Aluminum-Air Suspensions Using Stabilized Dust Flames .

Laminar burning velocity (sometimes also referred in literature as fundamental or normal flame propagation speed) is probably the most important combustion characteristic of the premixed combustible mixture. The majority of experimental data on burning velocities in gaseous mixtures was obtained with the help of the Bunsen conical flame [1]. The Bunsen cone method was found to be sufficiently accurate for gaseous mixtures with burning velocities higher than 10-15 cm/s at normal pressure [1,2]. Hans Cassel [3] was the first to demonstrate that suspensions of micron-size solid fuel particles in a gaseous oxidizer can also form self-sustained Bunsen flames. He was able to stabilize Bunsen flames in a number of suspensions of different nonvolatile solid fuels (aluminum, carbon, and boron). Using the Bunsen cone method he estimated burning velocities in the premixed lean aluminum-air mixtures (particle size less than 10 microns) to be in the range of 30-40 cm/s. Cassel also found, that the burning velocity in dust clouds is a function of the burner diameter [4]. In our recent work [5], we have used the Bunsen cone method to investigate dependence of burning velocity on dust concentration in fuel-rich aluminum dust clouds. Burning velocities in stoichiometric and fuel-rich aluminum dust suspensions with average particle sizes of about 5 microns were found to be in the range of 20-25 cm/s and largely independent on dust concentration. These results raise the question to what degree burning velocities derived from Bunsen flame specifically and other dust flame configurations in general, are indeed fundamental characteristics of the mixture and to what degree are they apparatus dependent. Dust flames in comparison to gas combustion, are thicker, may be influenced by radiation heat transfer in the flame front, respond differently to heat losses [6], and are fundamentally influenced by the particular flow configuration due to the particles inertia. Since characteristic spatial scales of dust flames are larger, one can expect that they will also be more sensitive than homogeneous combustion to a particular experimental geometric configuration of the flame and the flow. With such sensitivity the introduction of the very concept of the fundamental flame speed may be problematic for dust combustion. With this in mind, the objective of the present work is to further investigate Bunsen dust flames and evaluate to what degree do burning velocities derived from Bunsen cone depend on experimental conditions (i.e. flow rate and nozzle diameter).
Statistical Evaluation of Recovery of Copper from Printed Circuit Board (PCB) by using Hydrometallurgical Method and RSM Model

This manuscript deals with copper recovery from PCB by using hydrometallurgical methods and its evaluation by developing a quadratic model by using Box –Behnken experimental design and Response Surface Methodology (RSM) considering the factors: the concentration of H2SO4 (X1) and H2O2 (X2), the solid (X3)/Liquid ratio, times (X4) and temperature. Hydrometallurgical methods are more predictable and calculative in comparison to pyrometallurgical methods. RSM is a collection of statistical and mathematical methods that are useful for the modeling and analyzing engineering problems used in this study. By hydrometallurgical method 85 % of copper can recovered from 20.09 % available in printed circuit board (PCB). Box Behnken design total 27 experiments were performed, a model was developed for optimization of copper recovery. A second order polynomial model was developed using multiple linear regression analysis. This study showed that RSM based on Box-Behnken method is a useful tool for optimizing the operating parameters for copper recovery using leaching process. The statistical data of summary fit shows R Square is 0.99 indicates a better fit to the data. The Adjusts R Square is 0.98 also indicate better correlation in models with all variables. Root Mean Square (RMS) Error estimates the standard deviation of the random error. It was observed the RMS 2.91 and 60.06 mean of response for 27 observations.
RRP 1 B Targets PP 1 to Mammalian Cell Nucleoli and Is Associated with Pre-60 S Ribosomal Subunits

A pool of protein phosphatase 1 (PP1) accumulates within nucleoli and accounts for a large fraction of the serine/threonine protein phosphatase activity in this subnuclear structure. Using a combination of fluorescence imaging with quantitative proteomics, we mapped the subnuclear localization of the three mammalian PP1 isoforms stably expressed as GFP-fusions in live cells and identified RRP1B as a novel nucleolar targeting subunit that shows a specificity for PP1 and PP1 . RRP1B, one of two mammalian orthologues of the yeast Rrp1p protein, shows an RNAse-dependent localization to the granular component of the nucleolus and distributes in a similar manner throughout the cell cycle to proteins involved in later steps of rRNA processing. Quantitative proteomic analysis of complexes containing both RRP1B and PP1 revealed enrichment of an overlapping subset of large (60S) ribosomal subunit proteins and pre-60S nonribosomal proteins involved in mid-late processing. Targeting of PP1 to this complex by RRP1B in mammalian cells is likely to contribute to modulation of ribosome biogenesis by mechanisms involving reversible phosphorylation events, thus playing a role in the rapid transduction of cellular signals that call for regulation of ribosome production in response to cellular stress and/or changes in growth conditions.
A Practical Analysis of Kernelization Techniques for the Maximum Cut Problem

We examine the application of existing and new kernelization techniques for a well-known NP-hard problem, Max-Cut. Given an undirected graph, the task is to nd a bipartition of the vertex set that maximizes the total weight of edges that have their endpoints in di erent partitions. We primarily focus on the unweighted case, but we also consider the signed and weighted versions to some extent. Reduction rules are e ective for solving many NP-hard problems in practice. They compute a smaller problem instance – called a kernel – with the imposed requirement that solving it also allows one to (quickly) compute a solution for the initially given instance. Areas with interest in Max-Cut encompass both theory and practice. Practical elds where utilization exists include modeling of social networks [Har59], portfolio risk analysis [HLW02], network design [Bar96], VLSI (Very-Large Scale Integration) design and statistical physics [Bar+88], and image segmentation [SHK13]. Due to this, and the successful studies of kernelization in other hard problems [Abu+04] [Lam+17] [HSS18], we investigate the practical utility of kernelization for Max-Cut – a missing study until now. We consider reduction rules from previous works and further introduce new rules. We show from a theoretical and practical viewpoint that kernelization performs best on graphs containing loosely connected subgraphs and that no more than six rules are needed to achieve a kernel size not larger than what is possible with the reduction rules from previous works. Our results reveal that kernelization has a signi cant positive impact on a large collection of graphs, including both synthetic instances, and real-world graphs from VLSI design and image segmentation. In instances where kernelization succeeds in reducing the graphs, existing current state of the art Max-Cut solvers converge faster towards a maximum cut. In fact, in 9 of the 19 selected real-world instances, we compute a solution in seconds, whereas without kernelization 10 hours were not enough.
Is the Lunar Magnetic Field Correlated With Gravity or topography?

Magnetic field measurements made from orbit show that there are strong magnetic anomalies on the Moon, but many of these show no clear correlation with known geological processes. Given that the primary magnetic carrier on the Moon is metallic iron, which is considerably denser than the silicate minerals that make up the crust, we might expect that there would be a correlation between the magnetic field and gravity. If the magnetic anomaly were related to iron‐rich impact ejecta, there might also be a correlation between the magnetic field and topography. We use magnetic field, topography, and gravity data to test whether such correlations exist. Our results demonstrate that some magnetic anomalies show statistically significant positive correlations with free‐air gravity and topography, and the magnetic sources within these regions could potentially be iron‐rich impact ejecta. In a few cases, the magnetic anomalies show statistically significant positive correlations with Bouguer gravity, implying that the magnetic anomalies are associated with density anomalies within either the crust or upper mantle. The origin of the vast remainder of lunar magnetic anomalies remains enigmatic.
Thévenin Equivalent Determination Using Graphical Phasor Manipulation

This paper presents a new method for determining the Thévenin equivalent parameters of a power system at a node. A graphical method for deriving Thévenin equivalent parameters using online PMU measurements is developed based on representing and manipulating the measured voltage phasors in the complex voltage plane. The proposed method has the ability to use a large numbers of measurements for individual calculation thus providing greater tolerance of bad and erroneous measurements. The method is both computationally efficient and displays improved performance over similar methods when implemented using actual PMU data. Keywords— Phasor measurement, power system, Thévenin Equivalent.