Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of the Process Organizational Structure in the Development of Intrapreneurship in Large Companies

Abstract Modern companies’ business environments have become increasingly complex, dynamic, and uncertain as a consequence of globalization and the rapid development of information communications technology. Companies are urged to increase their flexibility in order to keep their competitiveness in the global market. The affirmation of intrapreneurship becomes one of the basic ways for achieving higher adaptability and competitiveness of large companies in the modern business environment. In this context, the choice of an organizational solution that improves the development of entrepreneurial orientation and increases employee entrepreneurship and innovativeness becomes an important task for large companies. Research studies and business practices have indicated that various types of modern organizational forms enable the development of intrapreneurship. Therefore, the main aim of this paper is to identify dominant characteristics of organizational solutions and analyse their influence on the development of intrapreneurship in large companies in Bosnia and Herzegovina (BiH). The research results indicate that current organizational characteristics are not favourable for the development of intrapreneurship in large BiH companies and that improvement is necessary in order to create an enabling environment for intrapreneurship and innovativeness. Based on these findings, recommendations for appropriate organizational changes are presented that might result in a more intensive development of intrapreneurship in large BiH companies.
Label-Free Optical Detection of DNA Translocations through Plasmonic Nanopores

Solid-state nanopores are single-molecule sensors that hold great potential for rapid protein and nucleic-acid analysis. Despite their many opportunities, the conventional ionic current detection scheme that is at the heart of the sensor suffers inherent limitations. This scheme intrinsically couples signal strength to the driving voltage, requires the use of high-concentration electrolytes, suffers from capacitive noise, and impairs high-density sensor integration. Here, we propose a fundamentally different detection scheme based on the enhanced light transmission through a plasmonic nanopore. We demonstrate that translocations of single DNA molecules can be optically detected, without the need of any labeling, in the transmitted light intensity through an inverted-bowtie plasmonic nanopore. Characterization and the cross-correlation of the optical signals with their electrical counterparts verify the plasmonic basis of the optical signal. We demonstrate DNA translocation event detection in a regime of driving voltages and buffer conditions where traditional ionic current sensing fails. This label-free optical detection scheme offers opportunities to probe native DNA–protein interactions at physiological conditions.
THE RETURNS TO HUMAN CAPITAL AFTER TRADE LIBERALIZATION The most convincing evidence supporting the widening of wage differentials after trade liberalization comes from middle-income countries in Latin America and East Asia

Recent evidence shows that the returns to labor and the skill premium both increase in developing countries after trade liberalization, despite the low skill content of their exports. The author explains this apparent puzzle by arguing that trade increases technology transfers from industrial to developing countries and that the transfer technology is biased in favor of skilled labor. The relative demand for skilled labor increases during the transition following liberalization, and so the gains enjoyed by skilled labor are temporary, even in the absence of supply responses. The gains become longer lasting when the transferred technology is also skill-biased.
Level‐set topology optimization with many linear buckling constraints using an efficient and robust eigensolver

Linear buckling constraints are important in structural topology optimization for obtaining designs that can support the required loads without failure. During the optimization process, the critical buckling eigenmode can change; this poses a challenge to gradient‐based optimization and can require the computation of a large number of linear buckling eigenmodes. This is potentially both computationally difficult to achieve and prohibitively expensive. In this paper, we motivate the need for a large number of linear buckling modes and show how several features of the block Jacobi conjugate gradient (BJCG) eigenvalue method, including optimal shift estimates, the reuse of eigenvectors, adaptive eigenvector tolerances and multiple shifts, can be used to efficiently and robustly compute a large number of buckling eigenmodes. This paper also introduces linear buckling constraints for level‐set topology optimization. In our approach, the velocity function is defined as a weighted sum of the shape sensitivities for the objective and constraint functions. The weights are found by solving an optimization sub‐problem to reduce the mass while maintaining feasibility of the buckling constraints. The effectiveness of this approach in combination with the BJCG method is demonstrated using a 3D optimization problem. Copyright © 2016 John Wiley & Sons, Ltd.
Foreign Market Selection Factors in the Australian Construction Services Sector

A survey of Australian construction companies is described, aimed at identifying the mainfactors considered when choosing foreign markets for their international activities. Thishighlights the importance of the host country’s economic, political and structural factors,the interplay of company motivations for expansion and the availability of a relevant constructionproject. Other factors influence a company’s approach to overseas operations,but do not significantly affect the choice of country. Also identified is a need to improvegovernment approaches to construction service expansion to other countries, with a focuson specific projects and policy regulations to assist the industry, and to build closer relationsbetween construction companies and financial institutions.
Evolutionary Role of Interspecies Hybridization and Genetic Exchanges in Yeasts

SUMMARY Forced interspecific hybridization has been used in yeasts for many years to study speciation or to construct artificial strains with novel fermentative and metabolic properties. Recent genome analyses indicate that natural hybrids are also generated spontaneously between yeasts belonging to distinct species, creating lineages with novel phenotypes, varied genetic stability, or altered virulence in the case of pathogens. Large segmental introgressions from evolutionarily distant species are also visible in some yeast genomes, suggesting that interspecific genetic exchanges occur during evolution. The origin of this phenomenon remains unclear, but it is likely based on weak prezygotic barriers, limited Dobzhansky-Muller (DM) incompatibilities, and rapid clonal expansions. Newly formed interspecies hybrids suffer rapid changes in the genetic contribution of each parent, including chromosome loss or aneuploidy, translocations, and loss of heterozygosity, that, except in a few recently studied cases, remain to be characterized more precisely at the genomic level by use of modern technologies. We review here known cases of natural or artificially formed interspecies hybrids between yeasts and discuss their potential importance in terms of genome evolution. Problems of meiotic fertility, ploidy constraint, gene and gene product compatibility, and nucleomitochondrial interactions are discussed and placed in the context of other known mechanisms of yeast genome evolution as a model for eukaryotes.
Optimal design of hydrofoil and marine propeller using micro-genetic algorithm (Î¼GA)

This paper presents results from the application of the genetic algorithm (GA) technique to the design optimization of hydrofoil and marine propeller incorporating potential based boundary element method (BEM). Although, larger population size as implemented by simple genetic algorithm (SGA) could find the optimal individual after a fewer number of generations than smaller population size, it is penalized by a longer amount of time to evaluate fitness in every generation. An investigation is, therefore, conducted in this research to implement micro genetic algorithm (I¼GA) with a very small population, and with simple genetic parameters, in order to achieve faster convergence to better solution from generation to generation. The technique is applied here to optimize hydrofoils of different plan forms, e.g., rectangular, elliptical, trapezoidal etc. Firstly, the hydrofoil design parameters, such as, angle of incidence, maximum thickness and camber ratios, aspect ratio, taper ratio, angle of sweep etc. are initialized randomly and the generated hydrofoil is analyzed by potential based boundary element method. GA then updates the design parameters over generation after generation and finally, finds an improved hydrofoil of maximum lift-drag ratio or minimum drag coefficient satisfying some design constraints. An improved blade or hydrofoil section is also designed by GA satisfying some design constraints. Finally, the technique is applied to the optimum design of marine propeller. In this study, I¼GA is found useful and prospective tool for the design optimization of hydrofoil and marine propeller due to its faster convergence. Keywords: Genetic algorithm, boundary element method, hydrofoil, propeller, design optimization Â doi: 10.3329/jname.v1i1. 2038 Journal of Naval Architecture and Marine Engineering 1(2004) 47-61
Marine community ecology: importance of trait-mediated effects propagating through complex life cycles

Present theory of marine community structure includes the effect of environmental factors that act upon larval survival on distribution and abundance of benthic adults. The theory assumes that pre-settlement environmental factors produce a direct effect at the population level, determining the abundance of individuals that enter the benthic habitat. These are density effects that propagate from the larval to the benthic phase (abbreviated here as DEMPHs). However, recent information suggests that pre-settlement factors may also produce an effect on population abundance, mediated by changes in traits of settlers. For instance, larvae experiencing food stress may give rise to juveniles with reduced energy reserves, growth rate, and in consequence with a low life expectancy. Thus, such trait-mediated (e.g. life historical, physiological) effects propagate through different life phases of the complex life cycles of benthic invertebrates, ultimately affecting juvenile survival. In this paper, I discuss the potential role of this special kind of trait-mediated effect (abbreviated here as DELPHIs) on benthic communities. I show that DELPHIs may affect the shape of the stock-settlement function leading to an erroneous interpretation of the role of post-settlement factors on benthic communities. Mortality due to DELPHIs is the consequence of pre-settlement factors but may be confounded with mortality due to post-settlement factors. In this regard, I conclude that the only solution to avoid this error is to incorporate measurements of traits of individuals in settlement and recruitment studies. Besides, DELPHIs may allow for complex interactions between pre- and post-settlement processes, suggesting that dichotomous views about the role of pre- and post-settlement processes are not appropriate. Finally, I suggest that future field research in benthic communities should incorporate an estimation of DELPHIs as a tool to expand, and thus improve, marine community theory.
Lexicon-based Conversion Strategy Words Sentence Single Label Joy : 0 Fear : 0 Anger : 0 Surprise : 0 Sadness : 1

Emotion analysis of on-line user generated textual content is important for natural language processing and social media analytics tasks. Most of previous emotion analysis approaches focus on identifying users’ emotional states from text by classifying emotions into one of the finite categories, e.g., joy, surprise, anger and fear. However, there exists ambiguity characteristic for the emotion analysis, since a single sentence can evoke multiple emotions with different intensities. To address this problem, we introduce emotion distribution learning and propose a multi-task convolutional neural network for text emotion analysis. The end-to-end framework optimizes the distribution prediction and classification tasks simultaneously, which is able to learn robust representations for the distribution dataset with annotations of different voters. While most work adopt the majority voting scheme for the ground truth labeling, we also propose a lexiconbased strategy to generate distributions from a single label, which provides prior information for the emotion classification. Experiments conducted on five public text datasets (i.e., SemEval, Fairy Tales, ISEAR, TEC, CBET) demonstrate that our proposed method performs favorably against the stateof-the-art approaches.
A comparative analysis of tree-based models classifying imbalanced breath alcohol data

When applied to binary data, most classiﬁcation algorithms behave well provided the dataset is balanced. However, when one single class includes the majority of cases, a good predictive performance for the minority class is not easy to achieve. We examine the strengths and weaknesses of three tree-based models when dealing with imbalanced data. We also explore sampling and cost sensitive methods as strategies for improving machine learning algorithms. An application to a large dataset of breath alcohol content tests performed in Catalonia (Spain) to detect drunk drivers is shown. The Random Forest method proved to be the model of choice if a high performance is required, while down-sampling
Learning Style Preferences among Physiotherapy Students enrolled in a Malaysian University: A Cross Sectional Study

Current physiotherapy students face enormous challenge in paddling their canoes through learning process. This started off the students and the researchers mind to explore for various strategies to improve the students’ academic performance. One of the effective strategies is to identify the student’s learning style preferences. The objective of this study is to determine the association between gender, year of study and learning style preferences among physiotherapy students. Self-designed demographic questionnaire a n d V A R K questionnaire w e r e administered to all physiotherapy students of University Tunku Abdul Rahman. 97.99% (146 of 149) students participated in the survey. Majority of the students (male, 80.4% and female, 64.8%) were multimodal learners and most of students from each year of study (Y1= 67.8%, Y2=62.5%, Y3=73.8% and Y4=69.2%) were multimodal learners; with predominant kinesthetic preferences in learning mode. Learning preference, learning mode and types of modality mix, show no statistical difference between gender and year of study. However, presence of auditory component in student’s modality combinations show significant difference (p = 0.031) when compared with female (59.0%) and male (78.0%). Interestingly, number of working hours per week was successfully proved its significance when compared with learning mode (p = 0.000) and learning preference (p = 0.001). Academicians should be attentive and aware from these differences in order to investigate more effective teaching methods and enhancing opportunity which able to correlate with the students’ learning style preferences. Students who had the idea of their own learning style preferences should also take the initiative to approach and obtain study materials which can fit with their own learning style preferences.
Role of bacterial exopolymeric capsules in protection from deposit-feeder digestion

Digestion of diverse strains of sedimentary bacteria by deposit feeders occurs at markedly disparate efficiencies, thus altering the composition of bacteria in feces and surrounding sediments. In an earlier study. I explored 2 potential mechanisms for resistance to lysis by digestive fluids of Arenicola marina (Polychaeta: Arenicolidae), cell wall ultrastructure and exopolymeric capsules. This correlative study revealed no relationship between encapsulation and lytic susceptibility across strains, whereas cell wall type (Gram-positive or -negative) was not independent of susceptibility, with Grampositive strains always resistant. In this study, I tested the importance of capsules within strains by comparing susceptibility after manipulation of capsule quantity using 2 techniques: (1) mechanical removal of capsules, and (2) harvest of cells through various growth phases as capsule thickness changes. We found that resistant strains remained resistant regardless of capsule quantity. Two of 3 strains that normally exhlbit some susceptibility to lysis, Pseudornonas atlanhca and SS-1, however, increased in their susceptibility with mechanical removal of capsules. Further, capsule quantity per cell varied throughout the growth cycle for these 2 strains, and lytic susceptibility varied concomitantly during logarithmic phase, in an inverse manner. Susceptibility of the third susceptible strain, IQ-2, remained unaltered with removal of capsules. This strain also exhibited dramatic change in capsule thickness with culture age, but lytic susceptibility was positively correlated to capsule mass per cell, in marked contrast to P. atlantica and SS-1. Although capsules can reduce the susceptibility of some bacterial strains, their presence does not convey protection from digestion in all strains, nor is encapsulation the only mechanism of resistance. One common feature for all these strains was that susceptibility to lysis declined after cultures reached stationary phase. Consequently, deposit feeding may impact physiological as well as taxonomic structure of bacterial assemblages in sediments.
Does Compassion Fatigue Affect Nurse Educators in Practice

Compassion fatigue is an unrecognized and understudied phenomenon that occurs in practicing nurses and most likely to affect nurse educators in practice. This unique form of burnout can impede nurse educators in caring for themselves and their students, patients, colleagues, schools and healthcare agencies. It is important to recognize the outcomes and implications of compassion fatigue and the growing need to mentor and care for both current and future nurse educators. Further research studies are needed on compassion fatigue in nurse educators to minimize the impact on educator health and professional nursing care.
Determination of the most common morphological patterns of anemia among Saudi anemic patients attending King Abdul-aziz Medical City-Riyadh

Background: Anemia is a medical condition in which the red blood cells (RBCs) count and hemoglobin (Hb) are less than the normal range. The main causes of anemia are a decrease in RBCs, their destruction and decrease of Hb synthesis. A useful method for diagnosis and classification of anemias is based on the morphological appearance of RBCs on an ideal stained blood smear. The main terms used in such classification are normocytic normochromic, microcytic hypochromic and macrocytic anemia. Aim: The aim of this study is to determine the most common morphological pattern of anemia in Saudi anemic patients who were admitted at King Abdul-aziz Medical City-Riyadh. Materials and Methods : Retrospectively we evaluated the results of complete blood count (CBC) and peripheral blood picture (PBP) of all anemic patients attending during the year 2013 (from 1 st January to 31 st December). Results: Participants in this study included 150 patients (13 infants, 27 children, 12 youths, 52 adults and 46 old). The gender distribution showed 70 males and 80 females. The results of CBC and PBP showed that 113 (75.3%), 36 (24%) and 1 (0.7%) of the patients had normocytic normochromic, microcytic hypochromic and macrocytic pattern of anemia respectively. Conclusion: The normocytic normochromic pattern of anemia is highly frequent among this sample of Saudi patients while the macrocytic pattern of anemia is the lowest. According to gender groups microcytic hypochromic pattern of anemia is more common among females; malnutrition, increase of blood loss due to pregnancy or menstruation, and lack of iron absorption are the main causes, while the normocytic normochromic is highly frequent among males, which are mainly due to blood loss or chronic diseases.
A MISSION PLANNER AND NAVIGATION SYSTEM FOR THE ARARA PROJECT

The ARARA project - Autonomous and RadioAssisted Reconnaissance Aircraft, is centered on the use of Unmanned Aircraft for image acquisition. Its main goal is the replacement of conventional aircraft used to take aerial photographs for the monitoring of crops and areas under environmental control. This work describes the SiNaCoM, a Navigation and Mission Control System for the ARARA project. The SiNaCom, jointly with a stability augmentation system (autopilot), will provide ARARA aircraft with fully autonomous mission accomplishment capability. The SiNaCoM is split into two modules: the Mission Planner and the Navigation Controller. The first module allows the user to define the route of a flight and a set of tasks to be carried out at each waypoint in this route. The second module controls the navigation of the aircraft along the route defined by the user, performing course corrections due to wind gusts. Navigation is based on the GPS positioning system and a set of on-board navigational sensors. The SiNaCoM has been bench tested and should be flying by the end of this year.
Interactions between a Top Order Predator and Exotic Mesopredators in the Australian Rangelands

An increase in mesopredators caused by the removal of top-order predators can have significant implications for threatened wildlife. Recent evidence suggests that Australia’s top-order predator, the dingo, may suppress the introduced cat and red fox. We tested this relationship by reintroducing 7 foxes and 6 feral cats into a 37 km2 fenced paddock in arid South Australia inhabited by a male and female dingo. GPS datalogger collars recorded locations of all experimental animals every 2 hours. Interactions between species, mortality rates, and postmortems were used to determine the mechanisms of any suppression. Dingoes killed all 7 foxes within 17 days of their introduction and no pre-death interactions were recorded. All 6 feral cats died between 20 and 103 days after release and dingoes were implicated in the deaths of at least 3 cats. Dingoes typically stayed with fox and cat carcasses for several hours after death and/or returned several times in ensuing days. There was no evidence of intraguild predation, interference competition was the dominant mechanism of suppression. Our results support anecdotal evidence that dingoes may suppress exotic mesopredators, particularly foxes. We outline further research required to determine if this suppression translates into a net benefit for threatened prey species.