Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Creating in Routines: Dialogical Exchanges to Guide Repertoires of Potential Actions

We substantiate how generative routines, from a dialogical exchange perspective, guide repertoires of potential actions. Research on generative and emergent qualities of organisational routines, and their ability to assist actors arriving at new distinctions in practice, remains underdeveloped. Researchers have established that routines have the qualities of being generative, emergent and producers of ideas. Recent contributions argue for a dialogical approach to creating new organisational knowledge. This paper further develops the explanatory power of routines by combining dialogical exchanges within the ostensive-performative theory of routines. We examine the power of dialogical exchanges using words, understood as imaginal others within schemas, and text within artifacts, as a basis for a processual view appropriate for studying ‘knowledge creating’. We analyse data from a multi- level analysis in a university-industry context crossing the theory- practice divide. We find that words and texts within .
Two-layer Model of Reflective Ferromagnetic Films in Terms of Magneto-optical Ellipsometry Studies

Recently it has become necessary to synthesize new materials that would be applied in spintronics devices. This field of study has significantly developed and it dictates the properties that materials should have in order to be used for its purposes. It is well-known that the simplest method of generating a spin-polarised current in a metal is to pass the current through a ferromagnetic material. That is why, one of the perspective materials for spintronics is a ferromagnetic/semiconductor two-layered structure [1].
Neural networks: The natural road to artificial iiitelligence

Despite the many advances of artificial intelligence (Al) technology, most notably in the area of expert systems, efforts to build intelligent systems that would approach the conunonsense reasoning and sensory abilities of even a small child have not been rewarding. A small, but growing number of researches believe that the existing AI toolboxes of symbolic represen­ tation and heuristic search may not hold the answer, and that massively parallel networks of simple neuron-like processing elements may hold the key. In this overview article, we ex­ amine the use of neurally inspired concepts in the construction of intelligent machines, and address their practical applications, advantages, and limitations.
SOFT X-RAY TEMPERATURE TIDAL DISRUPTION EVENTS FROM STARS ON DEEP PLUNGING ORBITS

One of the puzzles associated with tidal disruption event candidates (TDEs) is that there is a dichotomy between the color temperatures of a few × 104 K for TDEs discovered with optical and UV telescopes and the color temperatures of a few × 105–106 K for TDEs discovered with X-ray satellites. Here, we propose that high-temperature TDEs are produced when the tidal debris of a disrupted star self-intersects relatively close to the supermassive black hole, in contrast to the more distant self-intersection that leads to lower color temperatures. In particular, we note from simple ballistic considerations that greater apsidal precession in an orbit is the key to closer self-intersection. Thus, larger values of β, the ratio of the tidal radius to the pericenter distance of the initial orbit, are more likely to lead to higher temperatures of more compact disks that are super-Eddington and geometrically and optically thick. For a given star and β, apsidal precession also increases for larger black hole masses, but larger black hole masses imply a lower temperature at the Eddington luminosity. Thus, the expected dependence of the temperature on the mass of the black hole is non-monotonic. We find that in order to produce a soft X-ray temperature TDE, a deep plunging stellar orbit with β > 3 is needed and a black hole mass of ≲5 × 106M⊙ is favored. Although observations of TDEs are comparatively scarce and are likely dominated by selection effects, it is encouraging that both expectations are consistent with current data.
Combining Pairwise SVM Classifiers for Bond Rating

Prior studies on financial applications of data mining techniques mainly focused on the applicability of artificial neural networks, but recent research tended to investigate applicability of novel data mining techniques just like support vector machines. Support vector machines (SVMs) were originally devised for binary classification. But, in reality, there exist many problems which cannot be solved by just binary classification models, those are multiclass classification problems including bond rating. Researchers have tried to extend original SVM to multiclass classification. However, their studies have only focused on classifying samples into nominal categories. This study proposes Ordinal Multiclass SVMs which apply ordinal pairwise partitioning (OPP) to conventional SVMs in order to handle ordinal multiple classes efficiently and effectively. Our suggested model may use fewer classifiers but predict more accurately because it utilizes additional hidden information, the order of the classes. To validate our model, we apply it to the real-world bond rating case. In this study, we compare the results of the model to those of other multiclass classification algorithms. The result shows that Ordinal Multiclass SVMs improve prediction performance.
Prior Learning Assessment with Latent Semantic Analysis

Kalz, M. , Van Bruggen, J., Giesbers, B. , & Koper, R. (2007). Prior Learning Assessment with Latent Semantic Analysis. In F. Wild, M. Kalz, J. Van Bruggen & R. Koper (Eds.). Proceedings of the First European Workshop on Latent Semantic Analysis in Technology Enhanced Learning (pp. 24-25). Heerlen, The Netherlands: Open University of the Netherlands.
Photometric and spectroscopic evidence for a dense ring system around Centaur Chariklo

In this work we aim to study if the variability in the absolute magnitude of Chariklo and the temporal variation of the spectral ice feature, even its disappearance in 2007, can be explained by an icy ring system whose aspect angle changes with time. We modeled the light reflected by a system as the one described above to explain the variations on the absolute magnitude of Chariklo and its rings. Using X-Shooter at VLT we obtained a new reflectance spectra, here we compared this new set of data with the ones available in the literature. We showed how the water ice feature is visible in 2013 in accordance with the ring configuration, which had an opening angle of nearly 34$^o$ in 2013. Finally we also used models of the scattering of light to fit the visible and near-infrared spectra showing different characteristic to obtain information on the composition of Chariklo and its rings. {We showed that past absolute photometry of Chariklo from the literature and new photometric data that we obtained in 2013 can be explained by a ring of particles whose opening angle changes as a function of time. We used the two possible pole solutions for the ring system and found that only one of them, $\alpha$=151.30$\pm0.5$, $\delta=41.48\pm0.2$ $^o$ ($\lambda=137.9\pm0.5$, $\beta=27.7\pm0.2$ $^o$) provides the right variation of the aspect angle with time to explain the photometry, whereas the other possible pole solution fails to explain the photometry. From spectral modeling, using the result on the pole solution, we derived the composition of Chariklo surface and of that of the rings. Chariklo surface is composed by nearly 60% of amorphous carbon, 30% of silicates and 10\% of organics, no water ice was found on the surface. Whereas the ring contains 20% of water ice, 40-70% of silicates and 10-30% of tholins and small quantities of amorphous carbon.
Intelligent decision making based on pattern matching & mind-maps

This paper will represent a novel technique of decision making based on Mind-maps. The Mind-maps of the previously learned activities are stored in database. These Mind-maps are clustered based on their closeness factor and number-weighting. The closeness may be activity specific or decision specific. The classification of Mind-maps is done based on SVM (Support Vector Machine). Every Mind-map has its own behavioral features and a feature extraction based on activity centric mechanism is used to generate a feature vectors. These feature vectors are used for clustering and classification. As the approach takes in to account the decision and related data the way human being perceives it, it has great potential to address difficult decision problems.
Customer satisfaction and loyalty as success factors in organic food retailing

In this paper we discuss the impact of customer satisfaction and enthusiasm on the economic performance of small retailers in the organic market. The joint analysis of customer satisfaction and shop data confirm essential economic effects. The study is based on 948 customer interviews and an analysis of management ratios of 12 organic food shops in Germany. The results show that customer satisfaction is a relevant key to sales performance. Regression analysis reveals that overall satisfaction of customers accounts for 32 % of sales per square meter sales area. An additional factor analysis identifies service and product quality as main determinants of customer satisfaction. Customers consider the freshness of fruit and vegetables as representative of the quality of the whole assortment. A correlation analysis demonstrates that customer enthusiasm is a greater source for recommendation of shops than customer satisfaction. The paper ends with managerial and scientific implications.
Peptoanaerobacter stomatis interactions with neutrophils.

(v) LIST OF FIGURES . (viii) CHAPTER 1: INTRODUCTION . 1 CHAPTER 2: RESEARCH HYPOTHESIS AND SPECIFIC AIMS . 17 CHAPTER 3: MATERIALS AND METHODS.19 CHAPTER 4: RESULTS.29 CHAPTER 5: DISCUSSION.57 CHAPTER 6: SUMMARY AND CONCLUSION.66 REFERENCES.68 CURRICULUM VITA.75
Influência de substâncias bioativas na estabilidade fisico-química e funcional de emulsões fotoprotetoras

The usage of isolated ultraviolet filters in photoprotective formulations produces products with limited protection against the solar radiations, which highlights the need for active compounds (filters and bioactive compounds) combinations. Previous studies have demonstrated that rutin, a bioactive compound, interacts with filters incorporated in sunscreens. Therefore, this work aimed at evaluating the influence of rutin on the physicochemical and functional stability of sunscreen emulsions. Sixteen formulations were developed, submitted to the Preliminary Stability Testing and characterized according to pH value, rheological profile and in vitro photoprotective efficacy. The formulation with the best performance and the correspondent formulation without rutin were submitted to the Normal Stability Testing. All formulations presented pH values compatible with the skin and similar rheological behavior. Formulation F16 and the same formulation without rutin were submitted to the Normal Stability Testing and presented similar pH values and rheological profiles that were maintained during the days of analysis. The antioxidant activity was stable only for formulations stored at 5.0 ± 0.5 °C. The in vitro photoprotective efficacy demonstrated similar results among both formulations that were also observed on all days of analysis.
Depressive Symptoms Life Satisfaction and Cognitive Health Status Among University Students in Nigeria by Gender and Ethnicity

Background: The health determinant model indicates that certain socio-cultural, socio-demographic, environmental, and lifestyle factors influence health status and wellbeing of any population group in any given nation Previous studies have suggested the need for regional and interregional comparison of health inequalities due to the interaction of these factors. Aims: This study investigated mental health indicators and cognitive health status by sex and ethnicity among university students in Nigeria. Method: The study was cross sectional. Full time university students were recruited from six universities within the major three ethnic groups in Nigeria. Data collection was with an anonymous questionnaire. One thousand five hundred and forty-nine responses were valid, while 563 responses were rejected for missing data especially sex and ethnicity. The variables examined were, psychosomatic health complaints and cognitive behaviours. Descriptive tests, chi-square tests and analysis of variance (ANOVA) tests were conducted. Results: With regard to mental health indicators, the results showed that while depression indicate significant differences by gender and ethnicity, life satisfaction showed significant differences by ethnicity alone. Cognitive health status showed sex*ethnicity interaction effect for self-efficacy, sense of coherence and powerful others locus of control. Conclusion: The findings indicated that the mental health of female students in the sample was poorer than those of male students; with female students from the Hausa ethnic group, demonstrating the worst possible health outcome.
SELF REFERENCED EDGE DETECTION FOR CMOS PWM TRANSCEIVER

Technique is used to implement the CMOS PWM Transceiver circuit is presented. In this paper, A Self Referenced Edge Detection technique is implemented to analyze a CMOS PWM Transceiver circuit, by comparing the rising edge that is self-delayed by about 0.5 T and the modulated falling edge in one carrier clock cycle. An Area-efficient and high robustness (against timing fluctuations) edge detection enabling PWM communication is achieved without requiring elaborate phase-locked loops. Self-referenced edge detection circuit has the capability of timing error measurement while changing the length of self delay element, adaptive data-rate optimization and delay-line calibration are realized. The measured results with a 65-nm CMOS prototype demonstrate a 2-bit PWM communication, high data rate (4Gbps), small peak to peak jitter(4.8ns), and high reliability (BER > 10−12) with small area occupation (540 μ m2) and with high RMS (1.3). For reliability improvement, error check and correction associated with intercycle edge detection is introduced and its effectiveness is verified by 2-bit PWM measurement.
Distal-end Browning ('Bolverkleuring') of Fuerte Fruit in the Kwazulu/Natal Midlands

Distal-end browning otherwise known as 'Bolverkleuring', 'Bulb-discolouration' or 'Dusky cold' is well known in the industry. However, little has been published on this disorder. Leclercq (1989) described the skin discolouration as an ill-defined light to hazy brown colour which usually affects the distal portion of the fruit. The symptoms were poorly developed at storage temperatures but manifested clearly after several hours at ambient temperatures. In that year, Edranol and Fuerte were particularly susceptible to the disorder and the tolerance level for skin discolouration was set at 2.5 %. In addition the incidence of the disorder on Fuerte fruit decreased as the season progressed and it was suggested that moisture loss may have been responsible for the disorder.
Spin dynamics of two-dimensional electrons with Rashba spin-orbit coupling and electron-electron interactions

We study the spin dynamics of two-dimensional electron gases with Rashba spin-orbit coupling by taking account of electron-electron interactions. The diffusion equations for charge and spin densities are derived by making use of the path-integral approach and the quasiclassical Green’s function. Analyzing the effect of the interactions, we show that the spin-relaxation time can be enhanced by the electron-electron interaction in the ballistic regime.
Comfort versus discomfort in interracial/interethnic interactions: Group practices on campus

Purpose – Responding to findings of psychological discomfort impeding interracial/interethnic attitude and skill development, the purpose of this paper is to investigate group-level factors as possible antecedents to individuals’ comfort in interracial/interethnic interactions. Among individuals experiencing diversity during a key developmental stage in life, college students, the study inquires whether group practices that foster a sense of belonging and inclusion among all members differentiate comfortable from uncomfortable interracial/interethnic interactions. As part of the analysis, the construct interracial/interethnic comfort is developed and tested as a measure of interactions that are experienced with ease and confidence. Design/methodology/approach – Scale development methods and structural equation modeling were used to analyze survey data from 360 members of a voluntary service organization at 50 US colleges. Findings – The structural equation analyses indicate that the group practices – shar.
The persistence of equatorial spread F – an analysis on seasonal, solar activity and geomagnetic activity aspects

The persistence (duration) of Equatorial Spread F (ESF), which has significant impact on communication sys- tems, is addressed. Its behavior during different seasons and geomagnetic activity levels under the solar maximum (2001) and minimum (2006) conditions, is reported using the data from the magnetic equatorial location of Trivandrum (8.5 N; 77 E; dip 0.5 N) in India. The study reveals that the persis- tence of the irregularities can be estimated to a reasonable extent by knowing the post sunset F region vertical drift ve- locity (Vz) and the magnetic activity index Kp. Any sort of advance information on the possible persistence of the iono- spheric irregularities responsible for ESF is important for understanding the scintillation morphology, and the results which form the first step in this direction are presented and discussed.
PROPERTIES OF LOW-FAT ULTRA-FILTERED CHEESES PRODUCED WITH PROBIOTIC BACTERIA

Probiotics are live microorganisms that in certain numbers may confer a health benefit on the host. Nowadays, there are many dairy products on the market, especially fermented milks, with probiotics, and their popularity is rising. The aim of this article was to investigate the viability of commercial probiotic bacteria (Lactobacillus acidophilus LAFTI®L10 i Bifidobacterium lactis LAFTI®B94, DSM, Netherland) as well as their influence on the changes of composition, pH, proteolysis, microbiological status and sensory properties of low-fat ultra-filtered (UF) cheeses within 2 months of ripening. Low-fat cast ultra-filtered (UF) cheeses were produced according to the defined production procedure by mixing UF milk protein powder, skim milk and cream, without (control cheese A) and with adjunct probiotic culture (cheese B). The compositional parameters (milk fat, proteins and dry-matter content), pH, proteolysis parameters (water soluble nitrogen, nitrogen soluble in 5% PTA, urea and SDS PAG electrophoresis), as well as the numbers of starters and probiotic bacteria, were determined during ripening. In addition, sensory evaluations of cheeses were performed throughout the ripening time. A significant influence of probiotic strains on the composition, pH and primary proteolysis of cheese during ripening was not found. The counts of commercial probiotic bacteria were maintained at high levels (>107 cfug-1) during the overall ripening period, as a prerequisite of their therapeutic effects. The adjunct probiotic cultures enhanced the rate of secondary proteolysis, which was shown by the significantly higher levels of PTAN/TN of experimental compared to the control cheeses. The sensory evaluation showed that the overall aroma of low-fat cheeses was remarkably improved by the addition of the probiotic cultures used. Based on the results it can be concluded that the low-fat UF cheeses differ in good dietetic and functional properties as well as very acceptable sensory properties, and can be used as carriers of probiotics. [Projekat Ministarstva nauke Republike Srbije, br. III 046009 i br. 046010]
Assessment of Glyphosate and Quizalofop Mediated Toxicity to Greengram [Vigna radiata (L.) Wilczek], Stress Abatement and Growth Promotion by Herbicide Tolerant Bradyrhizobium and Pseudomonas species

Environmental pollution due to wide spread use of agrochemicals is a major global threat to the sustainability of agro-ecosystems. Among various agrochemicals applied in agricultural practices, the intensive and uncontrolled use of herbicides over the years has caused serious problems (Ozkara et al., 2016). The productivity of legumes on the other hand often suffers from weed competition. And hence, to control weeds and consequently to enhance crop production, herbicides are applied consistently. Among legumes, greengram is known for its detoxification activities and is used to refresh International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 12 (2017) pp. 3001-3016 Journal homepage: http://www.ijcmas. com
strain field during orthogonal cutting of hardened steel with cBN tools

In the case of hard machining of steels, negative rake tools generate compressive deformation and high temperature under the cutting edge, leading to phase transformation or ”white layers”. The resulting surface integrity can be predicted by numerical simulations which may be validated by comparing simulated and measured strain fields. Recent high speed imaging devices have facilitated strain field measurement by Digital Image Correlation (DIC), even at high strain rates. However, the analyse is generally restricted to the primary shear zone and not to the workpiece under the machined surface. For this study, a double-frame camera and a pulsed Nd:YAG laser, generally used in the field of fluid mechanics, have been employed to record images during an orthogonal cutting operation of a hardened steel. The effect of the rake angle and the edge preparation of c-BN tools on the subsurface displacement field, which has been experimentally investigated by using DIC, are presented in this paper together with an analysis on the origins of the strains. The results of these measurements will be used to validate cutting numerical simulations or to improve hybrid modelling of surface integrity.
GAZI ISHTIAK JAHAN SELECTING MOST APPROPRIATE ONLINE MARKETING PLATFORMS FOR DELIVERING VALUE PROPOSITIONS

GAZI ISHTIAK JAHAN: SELECTING MOST APPROPRIATE ONLINE MARKETING PLATFORMS FOR DELIVERING VALUE PROPOSITIONS Tampere University of Technology Master of Science Thesis, 93 pages January 2017 Master’s Degree Programme in Industrial Engineering and Management Major: International Sales and Sourcing Examiners: Professor Petri Suomala and Dr. Jouni Lyly-yrjänäinen
Variation and Grammaticalisation in Bantu Complex Verbal Constructions: The Dynamics of Information Growth in Swahili, Rangi and SiSwati

Many Bantu languages have a system of complex verbal constructions, where several verbal forms combine to describe a single event. Typically, these consist of an auxiliary and a main verb, and often tense-aspect marking and subject agreement is found on both forms. In this paper we develop a parsing-based, Dynamic Syntax analysis of complex verbal constructions in three Bantu languages – Swahili, Rangi and siSwati – and show how concepts of structural underspecification, accumulation of information and contextual update can be harnessed to explain the use of several verbal forms for the building of one semantic structure. At the heart of the analysis is the idea that structure established early in the parse can be ‘re-built’ from subsequent lexical input as long as incrementality and information growth are respected. This correctly predicts the accumulation of tense-aspect information and the fact that multiple subject markers have to be interpreted identically, while maintaining a uniform pronominal analysis of Bantu subject markers. From a comparative perspective, we show that complex verbal constructions result from processes of grammaticalisation, and, especially with reference to the extensive auxiliary system of siSwati, we sketch different processes of lexical change underlying the stages of the grammaticalisation process.