Miracle-dz/UniFAR-FTUs huggingface dataset:
Micro-Drilling of ZTA and ATZ Ceramic Composit: Effect of Cutting Parameters on Surface Roughness

Ceramics are a class of materials widely used during last fifteen years for orthopaedic applications. It is well known that they are characterized by low wear rate, and friction coefficient. However, these materials are very difficult to machine into complex shapes because of their brittleness and high hardness. The most effective method to increase the crack resistance is the formation of a composite structure. This class of materials, composed by two or more different ceramics, can present higher characteristic respect to the single component, like fracture toughness and flexural strength. This paper presents a study of the influence of cutting parameters (cutting speed, feed rate and step number) onto the hole surface roughness and deformation due to the drill operation. The ceramic composite materials AZT (alumina toughened zirconia) and ZTA (zirconia toughened alumina) were first characterized in terms of hardness and roughness. After the drilling test, the holes were analyzed using scanning electron microscope (SEM) and an advanced 3-dimensional non-contact optical profilometer
D Smoothed Disturbance Variance Matrices for Linear State Space Models with Coloured Observation Noise 40 3

Three classes of models for time series on acyclic directed graphs are considered. At first a review of tree-structured models constructed from a nested partitioning of the observation interval is given. This nested partitioning leads to several resolution scales. The concept of mass balance allowing to interpret the average over an interval as the sum of averages over the sub-intervals implies linear restrictions in the tree-structured model. Under a white noise assumption for transition and observation noise there is an change-of-resolution Kalman filter for linear least squares prediction of interval averages (Chou 1991). This class of models is generalized by modeling transition noise on the same scale in linear state space form. The third class deals with models on a more general class of directed acyclic graphs where nodes are allowed to have two parents. We show that these models have a linear state space representation with white system and coloured observation noise.
Geomorphic evidence of recent activity along the Vodice thrust fault in the Ljubljana Basin (Slovenia) - a preliminary study

We investigated two prominent, ~ E-W trending scarps in Quaternary sediments, located close to the town of Vodice in the Ljubljana Basin (central Slovenia). By using detailed geomorphological analysis of the scarps, field surveying, and structural observations of deformed Quaternary sediments, we conclude that the scarps are the surface expression of a N-dipping thrust fault that has been active during the Quaternary. From Optically Stimulated Luminescence and Infrared Stimulated Luminescence dating of deformed Quaternary sediments we estimate a slip rate of 0.1 to 0.3 mm a -1 in the last 133 ka. Using the published empirical fault-scaling relationships, we estimate that an earthquake of magnitude 5.9 to 6.5 may be expected on the Vodice thrust fault. The fault may, therefore, present a major seismic hazard for the densely populated and urbanised region of central Slovenia.
Gaussian Process Models and Interpolators for Deterministic Computer Simulators

For many expensive deterministic computer simulators, the outputs do not have replication error and the desired metamodel (or statistical emulator) is an interpolator of the observed data. Realizations of Gaussian spatial processes (GP) are commonly used to model such simulator outputs. Fitting a GP model to n data points requires the computation of the inverse and determinant of n×n correlation matrices, R, that are sometimes computationally unstable due to near-singularity of R. This happens if any pair of design points are very close together in the input space. The popular approach to overcome near-singularity is to introduce a small nugget (or jitter) parameter in the model that is estimated along with other model parameters. The inclusion of a nugget in the model often causes unnecessary over-smoothing of the data. In this paper, we propose a lower bound on the nugget that minimizes the over-smoothing and an iterative regularization approach to construct a predictor that further improves the prediction accuracy. We also show that the proposed predictor converges to the GP interpolator.
Analysis on Human Safety Behavior Mode during the Production Process

With the rapid development of science and technology, the ratio of accidents that caused by human unsafe behavior is getting higher and higher in complex industrial systems. Aiming at the situation of lacking the basic theory research about human safety behavior, taking the construction of overall model of human safety behavior as the purpose, analysis of human safety behavior’s shaping factors as the main line, the characteristic analysis of human unsafe behavior as the basis, with the method of theoretical analysis and progression reasoning, the systematic research on the basic theory hierarchy construction of human safety behavior was carried out from the aspects of human unsafe behavior causation classification, human cognitive behavior model, human safety behavior types, which provided a theoretical basis for preventing and controlling accidents due to human
Identifying Differentially Expressed Genes Associated with Tolerance against Low Temperature Stress in Brassica napus through Transcriptome Analysis

Under direct-seeding method of sowing, seedling survival is adversely affected due to low temperature. The purpose of this study was to understand the morphological, physiological and molecular response of rapeseed resistance to low temperature stress at seedling establishment. Two varieties Qinyou No.7 (resistant biotype) and Fengyou 730 (sensitive biotype) were used for morphological and physiological experiments under low temperature stress and the resistant variety was used for transcriptome analysis based on the Illumina HiSeq 2000 platform. Results showed resistant variety initiated osmotic regulation system firstly and then triggered the antioxidant enzyme system when exposed to low temperature stress for long duration. The MDA content firstly tended to increase and then decreased in resistant variety, but it continued to increase in sensitive variety. Through transcriptome analysis of Qinyou No. 7 under low temperature for 0 h, 24 h, 48 h and 96 h, 2254 differentially expressed unigenes clustering in 7 expression patterns were participated in low temperature stress. Proteinserine/threonine kinases, myo-inositol-1-phosphate synthases and calmodulins, as the members of ABA and IP3/Ca2+ signal transduction pathway, played an important role in the low temperature stress. Different expressed genes dataset provides useful candidate genes for functional analysis of rapeseed resistance to low temperature. © 2017 Friends Science Publishers
Modelling the effect of habitat fragmentation on climate‐driven migration of European forest understorey plants

The rate of climate change might exceed the migration capacity of plants, particularly where habitats became fragmented by human land use. Except for some tree species, the extent to which habitat fragmentation decreases migration rates has nevertheless been little evaluated. Here, we compare simulated migration rates of understorey herbs, which comprise the big part of temperate forest plant diversity, under varying levels of fragmentation at a continental scale.
Bison selectivity and grazing response of little bluestem in tallgrass prairie.

The perennial bunchgrass little bluestem (Schizachyrium scoparium [Michx.] Nash) was examined in a 5-yr study on tallgrass prairie to determine how fire influences its use by bison and its responses to grazing. On unburned prairie, bison grazed only 5% of the available little bluestem, selecting it only 30% as frequently as big bluestem, the dominant co-occurring species. On burned prairie, grazing frequency of little bluestem was over 3-fold greater and equal to that of its dominant neighbor. Grazing frequency of little bluestem was affected by plant size (basal area). On burned sites, plants of intermediate size classes were least abundant ( 50%). Small plants were most abundant but were grazed least frequently. Density, tiller numbers, and basal area of little bluestem were significantly greater in annually burned compared to infrequently burned sites but were decreased by > 50% in grazed compared to ungrazed sites. Grazing shifted the population size distribution toward higher frequencies of smaller individuals ( 200 cm2 basal area) individuals. In unburned prairie, little bluestem accumulates a persistent clump of standing dead tillers that appear to serve as a physical deterrent to grazing. Although burning enhances its growth, it also removes its canopy of dead tillers exposing the plant to grazers. The shift in population structure toward a high frequency of smaller (and perhaps less drought- or grazing-tolerant) individuals may contribute to the decline of little bluestem populations under persistent grazing. Thus, plant growth form, population size structure, and fire interact to influence bison grazing patterns and responses of little bluestem to grazing on tallgrass prairie.
Neuro Dynamic Susceptibility Contrast MRI in Gliomas : What the Radiologist Needs to Know

Perfusion MRI analyses tissues’ temporal responses to the inflowing exogenous contrast agents or labeled blood to characterize the hemodynamics properties of the tissues. Perfusion MRI techniques are sensitive to microvasculature, thus, can be a robust tool to study brain tumors where the neovascularization is a hallmark of malignancy. The derived indices can be helpful in many aspects, including tumor grading, prediction of malignant transformation, patient management planning, and monitoring treatment responses. A major MRI perfusion approach using exogenous contrast agent is dynamic susceptibility contrast MRI (DSC-MRI). With the increasing need for perfusion MR imaging in clinical practice, it is important to understand the basic principles of the technique and its meaningful clinical applications. In this review, we discuss the most commonly used perfusion sequence, DSC-MRI. We provide a comprehensive overview of the principles for clinical neuroradiologists and neuroscientists to help improve their understanding of the underlying theory and the technical aspects of DSC-MRI, as well as image acquisition, image analysis, its possible pitfalls, and its clinical applications in tumor imaging. Abstract Submission: 27/06/2016 | Acceptance: 19/09/2016
The Impacts of Technical Standards on Global Trade and Economic Efficiency

In summary, the fundamental role of multinational trade agreements such as the TPP and the TTIP is to eliminate tariff and non-tariff barriers across substantially all trade categories, which includes goods, services and investments in productive assets. The ultimate objective is to integrate national markets into regional ones and thereby realize greater efficiencies by facilitating specialization on the supply side and the realization of economies of scale through access to larger markets. Individual domestic economies will realize greater market opportunities and easier access to critical inputs, thereby promoting innovation, productivity, and overall competitiveness.However, such globalization of supply chains and related markets poses a threat to domestic industries protected through previously erected trade barriers. Inefficient industries will have to be restructured and domestic workers will have to be reskilled, in order for targeted comparative advantages to be realized. Thus, the removal of tariffs and quotas will initially cause shifts in location of various high-tech products and services, as effective relative prices adjust. Such “transition costs” must be managed by each economy and the international organizations overseeing implementation of trade agreements.
Modeling regional to global CH4 emissions of boreal and arctic wetlands

Methane (CH4) emission from boreal, arctic and subarctic wetlands constitutes a potentially positive feedback to global climate warming. Many process‐based models have been developed, but high uncertainties remain in estimating the amount of CH4 released from wetlands at the global scale. This study tries to improve estimates of CH4 emissions by up‐scaling a wetland CH4 emission model, PEATLAND‐VU, to the global scale with a spatial resolution of 0.5° for the period 2001–2006. This up‐scaling was based on the global circum‐arctic distribution of wetlands with hydrological conditions being specified by a global hydrological model, PCR‐GLOBWB. In addition to the daily hydrological output from PCR‐GLOBWB, comprising water table depths and snow thickness, the parameterization included air temperature as obtained from the ECMWF Operational Archive. To establish the uncertainty in the representations of the circum‐arctic distribution of wetlands on the CH4 emission, several existing products were used to aggregate the emissions. Using the description of potential peatlands from the FAO Digital Soil Map of the World and the representation of floodplains by PCR‐GLOBWB, the average annual flux over the period 2001–2006 was estimated to be 78 Tg yr−1. In comparison, the six‐year average CH4 fluxes were 37.7, 89.4, 145.6, and 157.3 Tg yr−1 for different estimates of wetland extends based on the studies by Matthews and Fung, Prigent et al., Lehner and Döll, and Kaplan, respectively. This study shows the feasibility to estimate interannual variations in CH4 emissions by coupling hydrological and CH4 emission process models. It highlights the importance of an adequate understanding of hydrology in quantifying the total emissions from northern hemispheric wetlands and shows how knowledge of the sub‐grid variability in wetland extent helps to prescribe relevant hydrological conditions to the emission model as well as to identify the uncertainty associated with existing wetland distributions.
The Relationship between Self Monitoring Personality and Career Success: Study on Management Postgraduate Students in Selected National Universities in Sri Lanka

As a significant determinant of career success, this study is to discuss the relationship between self-monitoring and career success by undertaking study on Management postgraduate students in selected national universities in Sri Lanka. There are relatively little research that has examined the interaction of person-based factors such as self-monitoring. This appears to be a fruitful area for research, examining the impact of self-monitoring on career success. The main objective of this research is to find out whether there is a significant relationship of self-monitoring personality on career success. The research problem of the study is “whether there is a significant positive relationship between self-monitoring personality and career success. The data were collected using convenient sample of 128 second year postgraduate management students within the selected national universities in Sri Lanka through a structured questionnaire which consisted of 30 questions with five point Likert scales, six point Likert scales and ratio scales. Data were analyzed using univariate analysis, correlation and regression analysis. The finding of the study is that self-monitoring personality of management postgraduate students was positively and strongly correlated with career success. Self-monitoring personality was positively correlated with objective career success of the management postgraduate students within the selected universities in Sri Lanka. Compared to the objective career success, less strong and positive significant relationship exists between self-monitoring personality and subjective career success of the sample. As per the regression analysis, 46 % of the variance in the career success of management postgraduate students has been accounted for by independent variable. It is concluded that self-monitoring personality is one of the major factors which affects career success of the individual and professionals those who have achieved significant career success and are highly self-monitored. Keywords: Self-monitoring, Career Success, Objective Career Success, Subjective Career Success
THE EFFECT OF PERCEPTUAL CHANGE: A STUDY OF CHINESE VISITORS SATISFACTION USING EXPECTANCY DISCONFIRMATION APPROACH

Since the mid 1990’s there has been a dramatic increase in the number of Chinese visitors to Australia, making China a significant inbound market. This study sought to ascertain how Chinese visitors perception of Australia changed as a result of their visit. It also examined Chinese visitors satisfaction across a range of tourism experiences. Research data was collected from 380 Chinese visitors and it was found that ‘food’, ‘shopping’ and ‘tour itinerary’ were areas where Australia underperformed on satisfaction. A gap between preand post-trip perceptions was detected and it was found that meeting visitors expectation of quality, variety and accessibility related aspects was particularly important in achieving greater satisfaction. The research findings offer Australian tourism operators and marketers an insight into the Chinese visitors trip experience and satisfaction.
Flexible borders–Co-creation in an interprofessional team: Caring for patients with ALS in a palliative context

Introduction: The municipal health services have been given greater responsibility for an increasing number of younger patients with neurological diseases. This has created new challenges regarding the use of resources and skills, in addition to co-ordination and organization of health services. Amyotrophic Lateral Sclerosis (ALS) leads to considerable loss of function. These patients are in need of care from interprofessional health teams; from municipal health services and specialists in hospital service. Aim: To investigate how health professionals from municipal and specialist health services experience interprofessional cooperation when caring for home-dwelling patients with ALS in the palliative phase. Methods: Design: An exploratory design with a qualitative approach, theoretically inspired by perspectives on interprofessional cooperation and person-centered care, was used. Material and methods: Data collection was carried out during four focus group interviews, consisting of twenty-three participants. Analyses were performed using Malterud’s and Kvale and Brinkmann’s approaches. Results: Team building and cooperative fellowship were important preconditions for the provision of interprofessional services to meet patients with ALS’ individual needs and desires. Throughout the disease trajectory patients with ALS present a diversity of problems. In order to provide relevant services during the palliative phase, staff changes should be avoided, the coordinator role should be clarified, and palliative skills must be developed. Co-creation and flexibility are essential to provide unique, person-centered services for patients with ALS and their families. Conclusions: Health personnel face challenges related to cooperating across health system borders. Addressing pit-falls of responsibility, the interprofessional team highlights co-creation and flexibility. Successful cooperation occurs when person-centeredness and flexibility are jointly used to co-create in clinical practice.
How investors evaluate firm entrepreneurial orientation? Empirical evidences from alternative investment market

The aim of this paper is to investigate the relationship between firm performances after the IPO and their entrepreneurial orientation (EO). In our work we want to test if more entrepreneurial oriented firms show better market performances signalling that investors valuate it positively. To this purpose, we focus on a particular sample of entrepreneurial firms, i.e. companies that went public on the Alternative Investment Market (AIM) through IPO during the period from 1995 to 2006. Along the lines of Miller (1983), Covin and Slevin (1991) and Lunpkin and Dess (1996), firms’ entrepreneurial orientation is measured in terms of risk taking, innovation and proactivity. Following the literature in management on investor valuation we use the percent price premium as dependent variable of our model. Our results confirm a positive impact of risk-taking and proactivity on investors’ valuation.
THE COOPERATIVE GAME-THEORETIC MODEL OF STABLE BENEFITS DISTRIBUTION FROM IT SOLUTION IMPLEMENTATION

2018, vol. 18, no. 3, pp. 150–156 150 Introduction Practical business shows that many IT initiatives that require significant changes in the existing Enterprise Architecture (EA) are not implemented. According to many experts, one of the obvious reason for this is the interaction between developers and stakeholders and the presence of a “human factor” [1–3]. In the theory of stakeholders it is noted [4] that managers of various departments (under the department is understood operationally independent functional units of the enterprise) are inclined to focus on achieving their own local goals, and only after them on the global goals of the whole enterprise. Mismatch for the purposes of different stakeholders is a source of conflict [5]. To prevent the conflict just an exchange of information between the stakeholders involved in the implementation of the project is not sufficient, stakeholders are jointly to choose and assess the proposed distribution of benefits from implementation. Thus, in this article, we hypothesize that before launching an IT project of implementing an economically reasonable IT solution, each coalition of stakeholders involved in project development should be acquainted with the benefits that they receive after implementing the solutions. This will contribute to avoiding the difficulties caused by the opportunistic behaviour of some stakeholders who are dissatisfied with the launch of EA development projects. The task of ensuring the alignment of interests within the stakeholder group in a new architectural solution (AS) selecting process and adopting it in implementation in the existing IT architecture is reduced to the tasks of an integrated assessment of the benefits from implementation and their subsequent distribution among the involved departments in the organization. This problem can be solved using the methods of game theory through modelling socioeconomic systems when making decisions or distributing costs / benefits as the game theory methods allow finding equilibrium states and effective distributions in situations of randomness, incompleteness of information and uncertainty, contradiction and conflict of interests. DOI: 10.14529/ctcr180316
STRATEGIC MANAGEMENT ACCOUNTING INFORMATION ELEMENTS

Motivated by the paucity of published empirical evidence on SMA this paper reports the results of an exploratory study carried out on Electrical and Electronics (E&E) companies operating in Malaysia. Specifically, it explores the extent of strategic management accounting (SMA) information elements usage among Malaysia’s E&E companies. The results indicate that E&E companies use SMA information elements extensively. The results imply that companies are extending their management accounting information towards more externally focused and strategic material. This finding enriches our current knowledge about the extent of SMA information usage among organisations. It also supports the findings of several previous researches which suggested that companies operating in today’s environment emphasise beyond traditional management accounting information.
Forecasting willingness-to-pay with direct price elicitation

Vorhersage von Zahlungsbereitschat mittels einer moderierten Regression. Praktische und theoritsche Untersuchung des Einluses von Involvement, Produktwissen und Praferenzunsicherheit auf die hypothetisch erfragte Zahlungsbereitschaft.