Miracle-dz/UniFAR-FTUs huggingface dataset:
Enterprise Risk Management: Factors Associated with Effective Implementation

Risk management is undergoing a great change, as organizations shift from the traditional and compartmental to an enterprise wide approach. Consequently, enterprise risk management (ERM) is gaining global attention among risk management professionals and academics. The demand for the adoption of ERM has led to several companies embracing it, yet its implementation has become challenging. Research shows that ERM approach emphasizes a holistic approach for assessing and evaluating the risks that an organization faces as against the “silo” approach of the traditional methods. The extant literature shows that through the reduction of the risk that an organization faces, ERM is capable of improving the performance and value. The study used a non-experimental correlational approach to explore the relationship between the presence of a chief risk officer (CRO) and an audit committee (AC), and the support of top management (TM) in relation to the implementation of ERM. A survey instrument was provided to self-identified risk-management professionals who are members of Survey Monkey Audience Service database. The target sample frame requested for analysis using a power of . 95 was (n = 119). However, the final number analyzed was (n = 134). Frequencies and percentages were conducted on the demographic survey items and regression and correlational analyses were also performed. The study findings show that there was a significant relationship between the role of a CRO, the presence of an AC, and the support of TM and the level of ERM deployment. The study also found significant correlations between management support level and CRO, and AC. In addition, a much strong positive correlation was noted between the presence of a CRO and an AC.
Cellular structure and related physico-chemical changes during ripening of Musa AAA 'Berangan'

Ripening is the result of complex changes and it turns an unpalatable fruit to be palatable. The distinct changes in eating quality of ripening fruits are determined by changes in their cellular structure and composition. This work was carried out to relate structural changes of Musa AAA 'Berangan' with related physico-chemical quality characteristics during ripening. The cell structure of Berangan banana was examined using scanning electron microscopy while pulp firmness, soluble solids concentration and starch pattern were determined as fruit ripened from mature green stage (ripening stage 1) until full yellow (ripening stage 6) at 27°C. As ripening progressed, the cellular structure of Berangan banana showed dramatic changes and coincided with changes in the physicochemical characteristics. The epicuticular wax and stomatal complex of peel degenerated while cell wall integrity was lost as fruit ripened. The starch began to degrade from the central core outward and concomitant with a decrease in starch granules sizes and increase of soluble solids concentration as ripening took place. The loss of cell wall integrity and conversion of starch into sugars as ripening progressed contributed to fruit softening. It is concluded that as ripening progressed, the increase in soluble solids concentration and decrease in firmness of Berangan banana fruit was closely related to the changes in the cellular structure. Keywords: Epicuticular wax, firmness, soluble solids concentration, starch granules, starch distribution pattern
Evaluation of Hungarian show-jumping results using different measurement variables

Many criteria have been proposed to appreciate the individual performance of horses in jumping competition. As no objective metric scale exists to express the horse’s performance (Hassenstein et al., 1998), the measurement of competition performance is complicated (Bruns, 1981; Tavernier, 1990). Most used criteria are based on transformations of the ranking, earnings or grading scores of the horses (table 1). These quantitative traits can be considered as repeating measurement during the career of the horse. Many complex traits studied in genetics have markedly non-normal distributions (Micceri, 1989; Allison et al., 1999), this often implies that the assumption of normally distributed residuals has been violated (Beasley et al., 2009). However, the validity of many statistical tests depends on the assumption that residuals from a fitted model are normally distributed (Berry, 1993). The residual maximum likelihood (REML) estimation introduced by Patterson and Thompson (1971) has been developed for estimating variance components in linear mixed models (O’Neill, 2010a), which method require the normality prerequisite mentioned above (Oehlert, 2012). Genetic parameters like heritability and repeatability values are derived from estimated variance components. The aim of the study was to compare different fitted models for show-jumping results of sport horses and to estimate heritability and repeatability value.
Non-equilibrium many-body effects in driven nonlinear resonator arrays

We study the non-equilibrium behavior of optically driven dissipative coupled resonator arrays. Assuming each resonator is coupled with a two-level system via a Jaynes–Cummings interaction, we calculate the many-body steady state behavior of the system under coherent pumping and dissipation. We propose and analyze the many-body phases using experimentally accessible quantities such as the total excitation number, the emitted photon spectra and photon coherence functions for different parameter regimes. In parallel, we also compare and contrast the expected behavior of this system assuming the local nonlinearity in the cavities is generated by a generic Kerr effect as described by the Bose–Hubbard (BH) model rather than a Jaynes–Cummings interaction. We find that the behavior of the experimentally accessible observables produced by the two models differs for realistic regimes of interactions even when the corresponding nonlinearities are of similar strength. We analyze in detail the extra features available in the Jaynes–Cummings–Hubbard (JCH) model originating from the mixed nature of the excitations and investigate the regimes where the BH approximation would faithfully match the JCH physics. We find that the latter is true for values of the light–matter coupling and losses beyond the reach of current technology. Throughout the study we operate in the weak pumping, fully quantum mechanical regime where approaches such as mean field theory fail, and instead use a combination of quantum trajectories and the time evolving block decimation algorithm to compute the relevant steady state observables. In our study we have assumed small to medium size arrays (from 3 up to 16 sites) and values of the ratio of coupling to dissipation rate g/γ ∼ 20, which makes our results implementable with current designs in circuit QED and with near future photonic crystal set ups.
Analysis of time-dependent spray structures in spra y processes in enclosures with square cross sections

Spray processes are influenced by the interaction o f the spray flow and the surrounding spray chamber. Spray chamber designs may have a significant influe nce on the recirculation and re-entrainment of spra y droplets. Flow structures induced by different spray ch amber geometries also affect the local concentratio n of droplets. In this paper the influence of different coni cal spray chamber designs with square cross section s on unsteady flow structures in the spray of twin-fluid atomizer s is discussed. Since the product properties of a s pray process highly depend on the local mass and heat transfer w ithin the spray, particle trajectories as well as l ocal droplet concentrations have to be assessed. Both phenomena are reviewed experimentally by using Particle Imagi ng methods in planar light sheets of the spray. The ef fect of coherent flow structures on the local parti cle concentration is the central point in this investigation.
Robust Domain Adaptation By Augmented Cyclic Adversarial Learning

Training a model to perform a task typically requires a large amount of data from the domains in which the task will be applied. However, it is often the case that data are abundant in some domains but scarce in others. Domain adaptation deals with the challenge of adapting a model trained from a data-rich source domain to perform well in a data-poor target domain. In general, this requires learning plausible mappings between domains. CycleGAN is a powerful framework that efficiently learns to map inputs from one domain to another using adversarial training and a cycle-consistency constraint. However, the conventional approach of enforcing cycle-consistency via reconstruction may be overly restrictive in cases where one or more domains have limited training data. In this paper, we propose an augmented cyclic adversarial learning model that enforces the cycle-consistency constraint via an external task specific model, which encourages the preservation of task-relevant content as opposed to exact reconstruction. This task specific model both relaxes the cycle-consistency constraint and complements the role of the discriminator during training, serving as an augmented information source for learning the mapping. We explore adaptation in speech and visual domains in low resource in supervised setting. In speech domains, we adopt a speech recognition model from each domain as the task specific model. Our approach improves absolute performance of speech recognition by 2% for female speakers in the TIMIT dataset, where the majority of training samples are from male voices. In low-resource visual domain adaptation, the results show that our approach improves absolute performance by 14% and 4% when adapting SVHN to MNIST and vice versa, respectively, which outperforms unsupervised domain adaptation methods that require high-resource unlabeled target domain.
Multimedia Search and Retrieval

Multimedia search and retrieval has become an active research field thanks to the increasing demand that accompanies many new practical applications. The applications include largescale multimedia search engines on the Web, media asset management systems in corporations, audio-visual broadcast servers, and personal media servers for consumers. Diverse requirements derived from these applications impose great challenges and incentives for research in this field.
Learning to innovate in construction: A case study

In the UK, recent changes in the economy, procurement routes and supply chain mechanisms have rendered it crucial for the UK construction industry to find new more efficient ways to deliver its services. There has been a realisation that the promotion of innovation and innovative thinking across the supply chain can offer the clients and service providers key benefits in terms of adaptability, financial growth and improved service delivery. This paper attempts to highlight the benefits of innovation and how organisations can promote innovation and innovative thinking. It presents a case study based on the measures taken by a leading service provider to promote innovation and innovative thinking with an aim to improve processes and service delivery across the supply chain. This case exemplar offers transferable learning opportunities for other construction firms seeking to promote innovation throughout their supply chains.
Economic Growth and Regional Income Disparities in Canada and the Northern United States

This paper compares the evolution of regional disparaties in per capita incomes in Canada and the 12 American states along Canada's southern border. The phenomenon of capital accumulation as described by the neoclassical growth model can explain much of the observed decline in regional dispersion in Canada relative to the northern states. However, it appears that Canadians are more likely than residents of the northern states to remain in regions where they do not have jobs, a factor which contributes to the persistently higher level of regional dispersion of output per capita in Canada.
Persistence of Idaho fescue on degraded rangelands: adaptation to defoliation or tolerance.

Rangelands with histories of overgrazing are frequently depauperate of native grasses. Occasionally, remnant native grasses are found surviving in these areas. We hypothesized that these survivors have responded to livestock grazing, over the past 110 years, through development of genetically based ecotypes that are more tolerant of defoliation than populations protected from heavy use by domestic livestock. Transplanted individuals of a native grass, Idaho fescue (Festuca idahoensis Elmer), from heavily grazed and ungrazed rangelands were compared. Gardens were established in central Oregon at the Central Oregon Agricultural Experiment Station and in eastern Oregon at the Northern Great Basin Experimental Range. Plants were defoliated during the vegetative, boot, and anthesis stages in 1990 and 1991 and subsequent growth evaluated. Parameters measured were end of growing season basal area, relative biomass production, and height and phenology at about biweekly intervals. Grazing history had no consistent effect on Idaho fescue response to defoliation. There were, however, differences between the protected and grazed collections from central Oregon in that the protected population averaged greater height and relative growth than those from the grazed areas even with defoliation. While the limited number of ungrazed sources in this region limits broad speculation, these results suggest idaho fescue survival in heavily grazed areas might be the result of differences in growth form rather than overcompensation or variation in time of phenologic development. Results also suggest that Idaho fescue from this region may elicit some grazing tolerance despite evolving historically with few large herbivores.
Killer yeasts - cause of stuck fermentations in a wine cellar

Sluggish fermentations in five fermenters in a wine cellar were investigated. Methylene blue-stains of yeast suspensions revealed that approximately 90% of the total yeast population in each of the fermenters were dead. The viable cells in each fermenter were killer yeasts. Polyacrylamide gel electrophoresis of total soluble cell proteins showed that the same killer yeast occurred in each of the five fermenters. The effect of killer yeast on viability and fermentation activity of the wine yeast was studied in an enriched grape juice medium at 20°C and 30°C. Death rate of the wine yeast was considerably higher in the presence of the killer yeast and fermentations were retarded at both temperatures. The killer yeast induced flocculation of the non-flocculent wine yeast.
Know the Planet, Know the Star: Precise Stellar Densities from Kepler Transit Light Curves

The properties of a transiting planet’s host star are written in its transit light curve. The light curve can reveal the stellar density ( ) and the limb-darkening profile in addition to the characteristics of the planet and its orbit. For planets with strong prior constraints on orbital eccentricity, we may measure these stellar properties directly from the light curve; this method promises to aid greatly in the characterization of transiting planet host stars targeted by the upcoming NASA Transiting Exoplanet Survey Satellite mission and any long-period, singly transiting planets discovered in the same systems. Using Bayesian inference, we fit a transit model, including a nonlinear limb-darkening law, to 66 Kepler transiting planet hosts to measure their stellar properties. We present posterior distributions of ρ*, limb-darkening coefficients, and other system parameters for these stars. We measure densities to within 5% for the majority of our target stars, with the dominant precision-limiting factor being the signal-to-noise ratio of the transits. Of our measured stellar densities, 95% are in 3σ or better agreement with previously published literature values. We make posterior distributions for all of our target Kepler objects of interest available online at 10.5281/zenodo.1028515.
Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect Case Study

Sustainability of forest ecosystems and climate change are two critical issues for boreal forest ecosystems in Canada that require an understanding of the links and balance between productivity, soil processes and their interaction with natural and anth ropogenic disturbances. Forest ecosystem models can be used to understand and predict boreal forest ecosystem dynamics. EFIMOD 2 is an individual tree model of the forest-soil ecosystem capable of modelling nitrogen feedback to productivity in response to changes in soil moisture and temperature. It has been successfully applied in Europe, but has not been calibrated for any forest ecosystem in Canada. The objective of this study was to parameterize and validate EFIMOD 2 for jack pine in Canada. Simulated and measured results agreed for changes in tree biomass carbon and soil carbon and nitrogen with increasing stand age and across a climatic gradient from the southern to northern limits of the boreal forest. Preliminary results from scenario testing indic.
KEMAMPUAN PEMAHAMAN KONSEP MATEMATIKA MAHASISWA MELALUI PENERAPAN LEMBAR AKTIVITAS MAHASISWA (LAM) BERBASIS TEORI APOS PADA MATERI TURUNAN

Tujuan penelitian ini adalah untuk mengetahui kemampuan pemahaman konsep matematika mahasiswa melalui penerapan Lembar Aktivitas Mahasiswa (LAM) berdasarkan teori APOS (Aksi-Proses-Objek-Skema) pada materi turunan. Teori APOS merupakan teori pembelajaran matematika yang menganggap bahwa suatu konsep matematika dapat dikonstruksi melalui tahap aksi-proses-objek. Pemahaman menyeluruh dari tahap aksi-proses-objek membentuk suatu skema tentang konsep matematika. Penelitian ini menggunakan metode penelitian deskriptif kualitatif. Subjek penelitian ini adalah mahasiswa kelas 1C Program Studi Pendidikan Matematika FKIP Universitas PGRI Palembang semester ganjil tahun akademik 2014/2015 yang berjumlah 38 orang. Data penelitian dikumpulkan melalui tes dan wawancara. Data dianalisis secara deskriptif kualitatif. Berdasarkan hasil analisis data diketahui bahwa rata-rata kemampuan pemahaman konsep matematika mahasiswa melalui penerapan LAM berbasis teori APOS pada materi turunan termasuk dalam kategori cukup. Kata kunci: Turunan, Teori APOS, kemampuan pemahaman konsep matematika .
THEORETICAL CONCEPT OF PROMOTION OPTIMIZATION MODEL FOR HIGHER EDUCATIONAL INSTITUTIONS (UNIPOM)

There has been an increasing importance of using marketing communication tools not only for corporate goals but also for higher educational goals. Yet there is a lack in conscious, effective usage of these tools. On the one hand a reason is that many higher educational institutions have no marketing strategy at all and on the other hand there is a shortage of methodology in optimizing marketing communication tools. Beside lack of marketing strategy, further problem is that from the marketing tools available, higher educational institutions can only change their communication in short term. Shortage in financial resources that can be spent on communication makes matters worse. Beside shortage in financial sources another problem is the scare of time available for the potential students to evaluate all the information available about university choice. Therefore it is important to find out which marketing communication tools and which media to use, who to address the given message with determined content and when to use the given tools during the recruitment process. To solve the above mentioned problems, an optimization is needed for marketing communication tools that also considers scare of financial resources and the habits of potential students when searching for information about their future universities. UNIPOM is a solution to this problem.
The fracture energy of ruptures driven by flash heating

We present a model for dynamic weakening of faults based on local flash heating at microscopic asperity contacts coupled to bulk heating at macroscopic scale. We estimate the fracture energy G associated with that rheology and find that for constant slip rate histories G scales with slip δ as G∝δ2 at small slip, while G∝δ1/2 at large slip. This prediction is quantitatively consistent with data from laboratory experiments conducted on dry rocks at constant slip rate. We also estimate G for crack‐like ruptures propagating at constant speed and find that G∝δ2/3 in the large slip limit. Quantitative estimates of G in that regime tend to be several orders of magnitude lower than seismologically inferred values of G. We conclude that while flash heating provides a consistent explanation for the observed dynamic weakening in laboratory experiments with kinematically imposed slip, its contribution to the energy dissipation during earthquakes becomes negligible for large events when considering the elastodynamic coupling between strength and slip evolution.
Morphological Differences between Larvae of the Oriental Fruit Moth (Grapholita molesta Busck) and the Peach Fruit Moth (Carposina sasakii Matsumura) in Korea

The oriental fruit moth (Grapholita molesta Busck) and the peach fruit moth (Carposina sasakii Matsumura) are the most severe insect pests affecting apple orchards in Korea. To prevent an outbreak of these two species and to control these agricultural insect pests, it is important to identify them accurately. However, it is hard to classify them when they were in the larval stage since they tunnel into the apple fruit. In this study, surface structures of the two species of larvae were observed using stereo microscope and scanning electron microscope. Distinct differences between the two species of larvae were found. The prothorax spiracles of oriental fruit moth larvae were approximately twice as large as those of peach fruit moth larvae. The arrangements of subventral setae, located around the proleg, were different between oriental fruit moth and peach fruit moth larvae. Furthermore, subdorsal setae of oriental fruit moth were located next to the spiracle on the 8th abdominal segment, while that of peach fruit moth was located above the spiracle. The identification of the two species of larvae observed in this study was confirmed using polymerase chain reaction-restriction fragment length polymorphism method. Surface structural differences are intrinsic characteristics for each species of larvae and can easily be identified using stereo microscope. These specificities will be helpful where a large number of field-collected larvae need to be identified routinely in pest control research.