Miracle-dz/UniFAR-FTUs huggingface dataset:
Do they Compete Differently? Strategies of MNEs and Domestic Companies in the Environment of the Czech Republic

Purpose of the article: The Czech Republic is still considered an emerging economy and MNEs are important players in most of its markets. Hence, knowledge of their strategies is essential and valuable not only for companies already present on the Czech market, but also for those who intend to enter the Czech market. Methodology/methods: The analysis centres on a sample of 155 foreign multinationals and 118 Czech companies. Using the empirical data, a logistic regression model was subsequently employed to determine whether the strategies chosen by the firms are related to any of the environmental variables. I employed ANOVA and linear regression model to determine whether certain strategy choices are related to higher company performance for MNEs and DCs. Scientific aim: This study examines the strategy-environment configurations adopted by multinational and domestic companies in the Czech Republic and makes an assessment of which strategy is the most advantageous. Findings: The author concludes that the strategies of MNE and domestic companies differ in such a dynamic and hostile environment. The performance implications of the strategies deployed are also examined. The most significant result indicates that the adoption of a heterogeneous strategy-environment configuration by MNEs and domestic companies in a small-scale transition economy leads to better performance for both of them. Conclusions: The results imply that the adoption of a heterogeneous strategy-environment configuration by MNE and domestic companies in smaller transition economy leads to better performance for both of them. This study offers a different insight into the strategic behaviour of companies and extends the existing knowledge by adding the ownership variable into the strategy-environment relationship. Output of this study can serve as the basis for decision-making in companies already active in the Czech marketplace and, particularly, as important entry information for companies considering entering the market.
Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation

Abstract Hydrologic data assimilation has become an important tool for improving hydrologic model predictions by using observations from ground, aircraft, and satellite sensors. Among existing data assimilation methods, the ensemble Kalman filter (EnKF) provides a robust framework for optimally updating nonlinear model predictions using observations. In the EnKF, background prediction uncertainty is obtained using a Monte Carlo approach where state variables, parameters, and forcing data for the model are synthetically perturbed to explicitly simulate the error-prone representation of hydrologic processes in the model. However, it is shown here that, owing to the nonlinear nature of these processes, an ensemble of model forecasts perturbed by mean-zero Gaussian noise can produce biased background predictions. This ensemble perturbation bias in soil moisture states can lead to significant mass balance errors and degrade the performance of the EnKF analysis in deeper soil layers. Here, a simple method of bi.
D inkjet-printed UV-curable inks for multi-functional lectromagnetic applications

Inkjet printing of multiple materials is usually processed in multiple steps due to various jetting and curing/sintering conditions. In this paper we report on the development of all inkjet-printed UVcurable electromagnetic responsive inks in a single process, and the electromagnetic characterization of the developed structure. The ink consists of iron oxide (Fe3O4) nanoparticles (nominal particle size 50–100 nm) suspended within a UV curable matrix resin. The viscosity and surface tension of the inks were tuned to sit within the inkjet printability range. D inkjet printing V curable ink ron oxide ink lectromagnetic Multiple layers of the electromagnetic active ink were printed alongside passive UV-curable ink in a single manufacturing process to form a multi-material waffle shape. The real permittivity of the cured passive ink, active ink and waffle structure at a frequency of 8–12 GHz were 2.25, 2.73 and 2.65 F/m, respectively. This shows the potential of additive manufacturing (AM) to form multi-material structures etic d by dditive manufacturing with tunable electromagn
Exploiting supplier capabilities to maximise product design opportunities in the fuzzy front end activities

This paper explores the Fuzzy Front-End (FFE), i.e. the first phase of the Product Design and Development process where a company formulates a product concept to be developed and decides whether or not to invest resources in the further development of an idea. Our goal is to understand how companies leverage supply chain capabilities to improve product design opportunities in order to obtain optimized product concepts in the FFE. From the analysis of our pilot study, the results suggest that FFE is organized differently depending on design requirements and supply chain capabilities and that matching design requirements with supplier capabilities during the FFE improves performance. Therefore, the findings indicate that the proposed Conceptual Framework has the potential to be used by companies to design their FFE and to enhance the use of supply chain capabilities in their product design activities.
RELATIONSHIP BETWEEN SALTS AND GROWTH OF STREPTOMYCES COLONIES ISOLATED FROM MURAL PAINTINGS IN ANCIENT EGYPTIAN TOMBS

Mural paintings in ancient Egyptian tombs are often deteriorated by microbial colonization and, particularly by Streptomyces. These bacterial species commonly colonize hypogea environments, such as caves and tombs, characterized by darkness, low temperature and nutrients [1], this may be attributed to the ability of Streptomyces to utilize a wide range of carbon sources and to produce a wide range of enzymes. Enzymatic activities that could decompose complex polymers of chopped straw used as filler, or organic matters present in limestone or dead fungal hyphae, could be used by microorganisms as a carbon source [2-3]. Streptomyces colonies on mural paintings and stone surfaces are considered as indicators of an advanced deterioration stage and are the most dominant in the microbiota colonizing these paintings [4]. Each Streptomyces species seems to play a specific role in the deterioration of mural paintings and stone supports [5], causing discoloration and enhancement of mechanical deterioration in relationship to salt cycles [6]. Identification of microorganisms colonizing mural paintings is an important step in putting forward sound conservation strategies, but due to problems imposed by morphological methods in identification, molecular methods based on 16S rDNA sequence analysis have been used to identify Actinomycetes isolated from deteriorated stones and mural paintings, confirming the morphological and biochemical identification keys [7-12]. Streptomyces are involved significantly in the deterioration of mural paintings in cooperation with other deterioration agents, salts in particular. Several salts were detected in deteriorated mural paintings in ancient Egyptian tombs from different sources. The sources of these salts are the composition of building stone and leakage of underground water containing salt ions from the soil to the walls of the tombs, since NaCl
Recording of Leray-type singular events in a high speed wind tunnel

It has long been suspected that flows of incompressible fluids at very large or infinite Reynolds may present finite time singularities. We review briefly the theoretical situation on this point. Then we show that single point records of velocity fluctuations in the Modane wind tunnel show correlations between large velocities and large accelerations that are in agreement with the scaling laws for such singularities as derived by Leray in 1934. Conversely the experimental correlations between velocity and acceleration are not explainable by Kolmogorov scalings. This implies in particular that the singularities cannot be seen as the end of a cascade in the sense of Kolmogorov, but are best described as singular events in the sense of Leray.
Combining ability analysis for various yield and quality traits in rice (Oryza sativa L.)

An investigation was undertaken to assess the combining ability for yield and quality traits in rice. Three WA cytoplasmic male sterile lines of rice i.e., IR-58025A, IR-68897A and Pusa 6A were crossed with six restorer genotypes i.e., Sanwal Basmati, Pusa Sugandh-2, Pusa Sugandh-3, Pusa Sugandh-5, Pusa 2517-2-51-1 and HURJM- 59221 in line x tester design to generate 18 hybrids. Among the female parents, IR-58025A revealed significant desirable value of GCA effect for yield per plant and most of the quality traits. Among the pollen parents, Pusa Sugandh-3 revealed significant desirable value of GCA effect for most of the yield traits. However, Pusa Sugandh-5 revealed significant desirable value of GCA effect for most of the quality traits. Pusa 6A x Pusa Sugandh-2 evinced the highest significant value of SCA effect for grain yield followed by IR-58025A x Pusa Sugandh-5. However, IR- 68897A x Pusa 2517-2-51-1 followed by IR-58025A x Sanwal Basmati revealed the significant desirable value of SCA effect for most of the quality traits. For both yield and quality traits, IR-58025A x Pusa Sugandh-5, IR-68897A x HUR-JM-59221 and Pusa 6A x Pusa Sugandh-2 were found to be relatively better performing. Thus, present study aims to develop hybrids performing better for both yield and quality traits.
Dietary intake in a dog population measured by a validated questionnaire

A validated mail and telephone questionnaire was used in a survey to investigate baseline data on feeding patterns and dietary intake of a Swedish dog population. Randomly selected pure-bred dogs between 1 and 3 years of age in the largest insurance database of Sweden were included in the study, and 461 dog owners completed the survey. This study has given data on dietary patterns, feed intake and previous diet in a defined population of dogs. A typical dog was fed restricted amounts twice a day, and the feeding patterns were seldom changed after the age of 6 months. The main constituent of the meals was dry feed with a topping of table foods, most commonly meat, sausage, pasta and bread. Few dogs were fed canned feed and home-made diets, although smaller dogs consumed canned feeds more often than larger individuals. Table foods generally supplied a higher content of fat and a lower content of carbohydrates than commercial feeds. Small breeds had a lower proportion of their total feed intake from commercial products than larger breeds (% of total diet as fed), and as a result small breeds had significantly lower fractions of their total intakes of protein, fat and carbohydrates from commercial products than did larger dogs. It was concluded that the validated questionnaire could provide reliable data on feeding patterns and dietary intake in free-living dogs. Further, this type of information could be used in future epidemiological studies on the importance of dietary factors on health and specific diseases.
A Study on Techniques for Online Feature Choice Method

Feature choice is a vital technique for data processing. Despite its importance, most studies of feature choice are restricted to batch learning. in contrast to ancient batch learning ways, on-line learning represents a promising family of economical and ascendable machine learning algorithms for large-scale applications. Most existing studies of on-line learning need accessing all the attributes/features of coaching instances. Such a classical setting isn't invariably acceptable for realworld applications once data instances square measure of high spatial property or it's overpriced to accumulate the total set of attributes/features. to deal with this limitation, we investigate the matter of on-line Feature choice (OFC) during which an internet learner is simply allowed to keep up a classifier concerned only atiny low and glued range of options. The key challenge of on-line Feature choice is a way to create correct prediction for associate degree instance employing a tiny range of active options. will be in distinction to the classical setup of on-line learning wherever all the options can be used for prediction. we tend to decide to tackle this challenge by finding out meagerness regularization and truncation techniques. Specifically, this article addresses 2 totally different tasks of on-line feature selection: (1) learning with full input wherever associate degree learner is allowed to access all the options to make a decision the set of active options, and (2) learning with partial input wherever solely a restricted range of options is allowed to be accessed for every instance by the learner. we tend to gift novel algorithms to unravel every of the 2 issues and provides their performance analysis. we tend to value the performance of the projected algorithms for on-line feature choice on many public data base, and demonstrate their applications to realworld issues as well as image classification in laptop vision and microarray gene expression analysis in bioinformatics. The encouraging results of our experiments validate the effectualness and potency of the proposed techniques. Keywords— Feature Choice; on-line Learning; Large-scale knowledge Mining; Classification.
INTEGRATED MULTI-NODAL TRAFFIC NETWORK SYSTEMS

Heuristically, traffic management is an important study. From the days of the ancients, and well into the future, the need to transport humans and cargo from one destination to another forms the backbone of a commerce driven culture. However, the ability to transport humans and materials also has altruistic benefits to society, one example being the ability to transport the injured from an accident scene. An integrated multi-nodal traffic network system is a particular direct class of automated system that provides 1) route navigation and obstacle awareness information to traffic network users; 2) coordinated traffic flow management; and 3) traffic movement analysis and reporting. By integrating all three major elements of any traffic network, it is possible to identify traffic hot spots, re-route vehicles from congested sections resulting from incidents, manage law-enforcement issues and plan for future needs. In this paper, we develop the requirements for a concept system called 'IMagiNaTioN' (Integrated Multi-Nodal Traffic Network system), and we demonstrate why this is a unique and beneficial system.
Phase Noise Robust Terahertz Communications

Terahertz (THz) communications is envisaged as one of the key enablers for beyond fifth-generation (5G) wireless networks because of its massive bandwidth opportunities. However, wireless transmission at such high frequencies comes with its own challenges, including the increased power consumption and hardware complexity, the challenging task of channel estimation, as well as the strong impact of phase noise (PN). In this work, we consider coherent and noncoherent transmission techniques based on spatial modulation (SM) for the THz channel with PN impairments. SM schemes carry part of the information by the baseband modulated symbols and part by the used antenna or subarray index. Our investigations show that the index detection in the SM chain remains robust against the strong PN impairment, unlike the symbol detection which deteriorates as the modulation order increases. The robustness of index detection under PN coupled with low modulation order renders SM an attractive candidate for THz communications. Under strong PN, space-shift keying (SSK) schemes, i.e., SM schemes which solely transmit index information, are preferable.
Hele-Shaw rheometry

In this paper, we describe a novel approach to determine the flow behavior index of a power-law fluid by means of a microfluidic device. The concept of this method is based on a mathematical analysis by Aronsson and Janfalk [Eur. J. Appl. Math. 3, 343–366 (1992)] of Hele-Shaw flow of power-law liquids. We implement this approach by driving a non-Newtonian fluid through a glass microfluidic chip with a 100:1 contraction. The flow in this chip satisfies the Hele-Shaw flow conditions in most of the device. Two conjugate p-Laplace equations describe the pressure and stream function in such flows. These equations depend on the flow behavior index, n. Therefore, by fitting the p-Laplace equation to the velocity field obtained from a micro particle image velocimetry measurement of the flow, the flow behavior index of the fluid in the chip can be determined. Because in practice, fluids rarely show perfectly inelastic power-law behavior, conditions under which the assumption of inelastic flow is valid were derived by analyzing Hele-Shaw flow of an Oldroyd-B fluid. The concept was tested using three different classes of model fluids, a Newtonian fluid, an inelastic power-law fluid, and a Boger fluid. In all three cases, satisfactory results were obtained, with values of n deviating at most 4% from values measured using conventional rheometry. The method presented here is expected to be potentially useful in online quality control in, for example, polymer or food processing.
On Chua Dynamical System

The famous Chua piecewise dynamical system (Chua circuit) has been slightly mod- ified by introducing smoothed h-function. So, the C 1 function is obtained instead of C 0 one. Dynamics of such system is evidenced by numerical examination of the orbits in 3D phase space, Fourier spectrum, leading Lyapunov exponent bifurcation diagrams and Poincarmaps.
Critical practice in health and social care: understanding and developing learning and teaching opportunities in diverse learning environments

The health and social care work environment is being increasingly challenged to implement a range of strategic initiatives to respond to needs in diverse communities. Thus diverse communities of learning in higher education may represent an opportunity to educate students so that they can engage in critical and culturally competent practice in health and social care. This paper presents findings from a study that explored pedagogical approaches to diversity as forming an integral part of professional training for students in health and social care programmes.More specifically, the aim of the study was to develop an understanding of ‘interactional diversity’ and its potential impact on developing critical action and cultural competence among future practitioners. Data were collected using a cross-sectional survey and in-depth interviews with a sample of students and academic staff in programmes that educate future health and social care practitioners. The key findings suggest that both academic staff and students demonstrated some readiness for opportunities to engage more fully with the diverse learning communities in health and social care. Broadly speaking, staff and students in health programmes were less likely to recognise the value of interactional diversity, and this was reflected in the curriculum. Social work students, closely followed by students in physiotherapy, indicated high levels of confidence about future practice with diverse groups. However, the need for proactive strategies to develop interactional diversity, a curriculum that reflects diversity, learning environments that facilitate growth from conflict, and linkages between classroom and practice learning also emerged as relevant to reinforcing positive learning climates on the university campus. Interactional diversity as a learning and teaching tool has important implications for the development of health and social care practitioners who are able to respond to diverse groups of service users, and who also contribute to the development of socially cohesive communities
Comparative study of motivation and mental toughness between India and Sri Lanka female volleyball players of 12th South Asian games

The purpose of the study was “Comparison of motivation and mental toughness between India and Sri Lanka female Volleyball players”. The subject for this study was 12th South Asian Games 2016, which was organized by India in Guwahati (Assam). Total 24 (Thirty) female Vollleyball players, 12 players of India and 12 player of Sri Lanka were (20-35 years of age) selected. The sports motivation scale (sms28) developed by Luc G. Pelletier, Michelle Fortier, and the Sports Mental Toughness Questionnaire developed by ADr. Alan Goldberg (2012) were selected for this. The selected variables were motivation and mental toughness. The obtained data were analyzed by applying independent‘t’ test in order to comparison of motivation and mental toughness differential between India and Sri Lanka female Volleyball players. Further, the level of significance was set at 0.05 level of confidence. The finding of the study reveals that there was no significant difference was found in case of motivation and mental toughness between India and Sri Lanka female Volleyball players may be due to the reason both teams undergone with the high training schedule, good intellectual ability, very high fitness level, more highly motivated to win the Gold medal in 1th South Asian Games. They might have equal level of experience in terms of competition which must have been probable cause for the insignificant difference
Analysis of sub-3 nm particle growth in connection with sulfuric acid in a boreal forest

We analyzed nanoparticle growth during new-particle-formation events based on ten years of measurements carried out at a boreal forest site in Hyytiälä, Finland, concentrating on the sub-3 nm particles and the role of sulfuric acid in their growth. Growth rates of 1.5–3 nm diameter particles were determined from ion spectrometer measurements and compared with parameterized sulfuric acid concentration and other atmospheric parameters. The calculated growth rates from sulfuric acid condensation were on average 7.4% of the observed growth rates and the two did not correlate. These suggest that neither sulfuric acid monomer condensation nor coagulation of small sulfuric acid clusters was the primary growth mechanism in these atmospheric conditions. Also no clear sign of organic condensation being the single main growth mechanism was seen. These observations are consistent with the hypothesis that several factors have comparative roles in the sub-3 nm growth.
STUDIES ON THE EFFECT OF DRAIN EFFLUENTS ON THE WATER QUALITY OF LAKE MANZALA, EGYPT.

The water quality of Lake Manzala was studied seasonallyJ during the period from autumn 2000 to summer 2001. The results of physical parameters revealed that the values of transparency at the southern region are relatively low and reflect the type of effluents, characterized by high amounts of floating materials, which decrease the water transparency. Moreover, the electrical conductivity at these stations were somewhat high as a result of sewage and industrial wastes at that region. On the other hand, the chemical analysis of water showed high values of chemical oxygen demand (COD) and biological oxygen demand (BOD) but low levels of dissolved oxygen (DO) especially at the southern region opposite to Hadous and Bahr El-Baqar drains, in addition to high levels of trace metals.
Physicochemical, Proximate Composition, Microbiological and Sensory Analysis of Farmed and Wild Harvested White Shrimp Litopenaeus vannamei (Boone, 1931) Tissues

Physicochemical, proximate composition, microbiological and sensory analysis of farmed and wild harvested white shrimp Litopenaeus vannamei muscle were compared. The cultured white shrimp were obtained of two farms, whereas the wild shrimp were collected off the coasts of Sinaloa and Nayarit, Mexico. Both, the farmed and wild white shrimp muscle, supplied a good source of protein and polyunsaturated fatty acids. The physicochemical composition, microbiological and sensory properties could be associated to their origin and handling. The wild shrimp tended to have a better proximate composition than the farmed shrimp, due to the availability of a greater diet variety in their environment.