Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Optimism, Pre-Entrepreneurial Curiosity and Entrepreneurial Curiosity

Abstract Background: Entrepreneurship and entrepreneurs become more and more interesting fields for a scientific research. This paper addresses the relationship between optimism, pre-entrepreneurial curiosity and entrepreneurial curiosity as three determinants of entrepreneurial psychology. Literature review showed optimism is important for entrepreneurs and influence them mostly in a positive way. Although entrepreneurial curiosity is important determinant for entrepreneurs and it was connected with entrepreneurial self-efficacy, openness, and company's growth the connection with optimism remained unexplored until this research. Methods: A multi-country empirical validation was conducted on a sample of entrepreneurs from Slovenia and USA. A structural equation modelling, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to develop a model, which complement theoretical predisposition and fit the data. Results: The results of the study show that higher levels of optimism lead to higher levels of pre-entrepreneurial curiosity and higher levels of pre-entrepreneurial curiosity lead to higher levels of entrepreneurial curiosity. Conclusions: The contribution of this study is manifold. From the theoretical view, a literature gap on the field of optimism and entrepreneurial curiosity combined is fulfilled and a structural equation model with optimism and entrepreneurial curiosity was established. Since openness, pre-entrepreneurial curiosity and entrepreneurial curiosity are related policy makers can test individuals according to their level of researched determinants and motivate more entrepreneurial perspective ones to become active in the entrepreneurship process. Thus, entrepreneurs can use these results to recruit more entrepreneurial oriented employees.
Title The Energy Endoscope : Real-time Detailed Energy Accounting for Wireless Sensor Nodes

This paper describes a new embedded networked sensor platform architecture that combines hardware and software tools providing detailed, fine-grained real-time energy usage information. We introduce the LEAP2 platform, a qualitative step forward over the previously developed LEAP [13] and other similar platforms. LEAP2 is based on a new low power ASIC system and generally applicable supporting architecture that provides unprecedente d capabilities for directly observing energy usage of multiple subsystems in real-time. Real-time observation with microsecond-scale time resolution now enables direct accounting of energy dissipation for each computing task as well as for each hardware subsystem. This new hardware architecture is exploited with our new software tools, etop andendoscope . A series of experimental investigations provide high-resolution power information in networking, sto rage, memory and processing for primary embedded networked sensing applications. Using these results obtained in real-time we show that for a large class of wireless sensor network nodes, there exist several interdependencies i n energy consumption between different subsystems. Through the use of our measurement tools we demonstrate that by carefully selecting the system operating points, energy sa vings of over60% can be achieved while retaining system
User Involvement in Product and Service Development: A Literature Review

A number of papers have introduced cases where users were incorporated into product or service development processes of companies. However, this literature is scattered and there is no consensus on how knowledge is created and learning achieved with users and then transferred within the organization. This paper provides a review to the literature surrounding user involvement in product and service development. The findings of a literature review are visualized into a framework where different product and service development processes and the stages of involvement are depicted. The visualization provided is of help to academics aiming for a shared context when discussing user involvement, and to managers who deal with user involvement in their jobs. The article seeks to find a common denominator in literature so that especially the suggested timing for involvement of users can be exposed.
Monte Carlo Simulation to Evaluate Mould Growth in Walls: The Effect of Insulation, Orientation, and Finishing Coating

Mould growth can have severe consequences both on the health of occupants and on constructions’ durability. Mould growth is a very complex process that depends on many factors such as temperature and relative humidity, presence of nutrients, and exposure time. Several mould prediction models, which allow estimating mould growth in building components and performing risk analysis, are available in the literature, such as the updated VTT model or the Biohygrothermal model. A Portuguese typical wall configuration was used for a sensitivity analysis. The importance of insulation (with and without insulation), orientation (north and south), and finishing coating (gypsum-based rendering, medium density fibreboard (mdf), and untreated wood) for the mould growth phenomenon was tested using both the updated VTT model and the Biohygrothermal model. A total of 12 case studies were investigated. The influence of indoor climate was evaluated by simulating 200 scenarios previously generated using the Monte Carlo method. Each of the scenarios has been applied to the 12 case studies, and 2400 hygrothermal simulations were carried out. Initially, the case studies were simulated using WUFI 1D since both mould growth models require the superficial temperature and relative humidity as input. Simulations were carried out for a one-year period. The updated VTT model produced results (mould index—M) ranging between 0.4 (gypsum-based rendering, insulated, and south oriented wall) and 5.9 (untreated wood, noninsulated, and north oriented wall) and the Biohygrothermal model (mould growth) between 10.1 and 406.4 mm for the same case studies. Despite that the effect of the orientation of the wall could be identified, the importance of insulation and nature of substrate was more evident. Although the two models produced overall comparable results, some differences could be found, creating the opportunity to discuss their strengths and weaknesses as well as their sensitivity to the input parameters.
STRATEGY FOR THE MODERNIZATION OF THE ARMED FORCES:A Study made with small and medium companies of the sector of the Spanish defence

We intend to study the mediating role of the Maximum of benefits, Innovation of products and differentiation and Innovation in processes in the relation between those predictors and the Increment of the market share. We have used a sample of 236 small and medium companies of the sector of the Spanish defence. The results show the direct effect of all the predictive variables on the criterion market share increment variable. The results show that the influence of the cost reduction on the increment of the market share can be either direct or indirect through the intermediate variables. However, the results did not show any mediating effect between the previous Results of Innovation on the sector and Increment of the market share. Among other implications, we intended to list the main tendencies, the most competitive, namely, in military terms and technologies in its most comprehensive meaning, aiming at strengthening the national industry, not only of the defence, but also of other transversal sectors.
Isolation and Characterization of Pathogenic Fungi from Vitis Vinifera from the Historical Site Agra Fort

Vitis vinifera or common grape vine is familiar enough to the human race owing to its industrial importance. This plant can survive for 350-400 years. The plant under consideration is a historical one because wine has been extracted from this plant since the period of the Mughal emperor Jahangir in 1630. In medieval India, under the rule of the Mughals, the city of Agra flourished. The Mughals continued to live in the Agra Fort for years where they had a unique vineyard in the name of Anguri Bagh built by Jahangir in 1630. In the present day, the sole remnants happen to be one or two plants, which too are badly infected with pathogenic fungi. Three such detached leaves were collected and the organism isolated was found to be Guignardia sp. Characters on the basis of reproductive structures were established, as well as the SPM (suspended particulate matter) count was determined and compared with the control, which indicated substantial air pollution. Fungicide bioassay was performed and the reduction in percentage germination and germ tube length on application of the fungicide was 14.49% and 24.14 μm respectively in absence of sugar, and 88.46% and 9.8 μm respectively in presence of sugar.
Classifying the form of iconic hand gestures from the linguistic categorization of co-occurring verbs

This paper deals with the relation between speech and form of co-occurring iconic hand gestures. It focuses on multimodal expression of eventualities. We investigate to what extent it is possible to automatically classify gestural features from the categorization of verbs in a wordnet. We do so by applying supervised machine learning to an annotated multimodal corpus. The annotations describe form features of gestures. They also contain information about the type of eventuality, verb Aktionsart and Aspect, which were extracted from plWordNet 2.0. Our results confirm the hypothesis that the Eventuality Type and Aktionsart are related to the form of gestures. They also indicate that it is possible to some extent to classify certain form characteristics of gesture from the linguistic categorization of their lexical affiliates. We also identify the gestural form features which are most strongly correlated to the Viewpoint adopted in gesture.
Nexuses between economic factors and stock returns in China

Economist and stock managers always focus on stock market return. This study investigated short and long run relationship between economic factors and stock returns in China by applying ARDL approach from 01/2000 to 12/2016. Estimated results of bound test for co-integration shows that long run relationships exist among the variables except inflation rate. Results of short and long run ARDL demonstrate that exchange rate and inflation rate have positive effect on stock returns in China while interest rate have negative effect on stock returns. Results indicate that stock returns in China are very sensitive and can be affected positively or negatively with increase and decrease in economic factors. Both local and regional factors in China can directly and indirectly explain Shanghai Stock Exchange stock returns.
A Hybrid Approach for Emotion Extraction

: With the growth of internet the amount of content that gets produced everyday has increased significantly. Many different types of textual/image documents are produced on varying types of platforms such as social media, news, blogs etc. This paper presents a hybrid approach for emotion extraction from the text documents. With such large amounts of textual content being produced every day, one cannot ignore the importance of mining and extracting opinions, sentiments and also emotions that are embedded in the text. The task of opinion mining, extraction and sentiment analysis has been extensively used in many fields. This is because emotions form an important part of any communication and opinion and have profound effect on the sentiments that the text represents. This makes emotion recognition or extraction from text as well as other media of communication such as speech images videos a crucial task. Emotion analysis is the task of making the computers makes sense of emotions. Emotion extraction is focused on delivery of the exact emotional state of a user at the time when the document was being prepared. In this paper, the main focus of the proposed work is to improve emotion extraction and the study of different approaches and methods that have already been developed and deployed for use. A number of approaches have been developed for emotion extraction and each of them has some strengths and weaknesses. Many machine learning techniques have been used such as Support Vector Machines, Naive Bayes classifier, Vector Space Model and others. Many others combine machine learning techniques with other rule-based techniques or keyword-based techniques. Our approach combines the SVM with k-NN algorithm while still employing the rule based technique to take the advantage of all while avoiding their weaknesses. Our algorithm will be implemented and evaluated using a standard benchmark GRIMM’s data set. The new approach will be evaluated on the basis of accuracy of the emotions that are assigned to the sentences in a document
Ultrasound Examination of Steel Pipes

Non-intrusive testing of pipelines has become a growing industry, and is expected to keep growing as the demands on quality control and safety keep increasing. In order to meet the oil industrys demands for pipe monitoring of sub sea pipelines, the SmartPipe project was initiated by SINTEF in Trondheim, Norway. One of the primary objectives of the SmartPipe project is develop a system for in-service monitoring of the pipelines that are placed on the seabed by the offshore oil industry. This thesis presents a very early step in the research required for the development of such a system. The purpose of the presented work was to carry out introductory experimental work in order to find out whether it is possible to develop relatively simple techniques for in-service testing of sub sea steel pipes. A so-called pitch-catch setup and various wedges was used in order to test the area between a pair of 5 MHz ultrasound transducers. Measuring over a distance of 1.00 m, rather than just single points on the pipe, could provide more general information about the condition of the pipe. Tests with over 4 m distance between transducers were also carried out. Measurement stability and mechanical coupling are of crucial importance in ultrasonic test systems, and useful knowledge on the subjects has been gained and are documented in this thesis. Results from measurements indicate that comprehensible results can be attained even with very simple measurement setups. Especially when using special wedges for introduction of Rayleigh waves, the received signals had high amplitudes and the signal envelope had a simple shape. The effect that the damage to the pipe had on the Rayleigh waves, was found to be equally simple and predictable. Shear waves and longitudinal waves that are less sensitive to the surrounding medium, were also shown to be applicable in flaw detection. Results and discussion include both time domain, frequency domain and energy considerations.
New Evidence of Short-Run Underpricing in Australian IPOs

The short-run market performance of the initial public offerings (IPOs) indicates that the prices are often underpriced which is widely accepted as a universal phenomenon. To find out whether the Australian IPOs are underpriced, this paper analyses the short-run market performance of 254 IPOs by industry, listing year and issue year over the period 2006 to 2011.To measure the performance, the first listing day returns are divided into the first day opening price primary market and the closing price secondary market and further examine the post-day listing returns. The study found that overall the Australian IPOs are underpriced by 25.47% based on abnormal returns and 26.43% on raw returns on the first listing day primary market and it is statistically significant at 1% level. However, the secondary market analysis indicates that the Australian IPOs are overpriced by 1.55% and 1.54% on abnormal and raw returns respectively which is statistically significant at 5% level. The examination of post listing returns shows that Australian IPOs are underpriced based on cumulative abnormal returns (CARs) in the 3rd, 6th and 10th days by 24.63%, 24.06% and 23.34% respectively. The primary and post listing analysis shows that the industrial sector IPOs are more attractive to investors whereas the chemical and material sector IPOs are less attractive compared to other sectors . As far as the investors’ wealth is concerned, the study concludes that the short-run market performance analysis should consider both the first day and post-day returns.
Comparison of errors and stability in FDTD and FVTD

Abstract. The methods of finite-difference time-domain (FDTD) and finite-volume time-domain (FVTD) are well known techniques for solving electromagnetic problems. While for FDTD a number of commercial codes is available there are only few based on FVTD. However, FVTD has advantages since it allows completely unstructured meshes. This paper 1. deals with the principle errors made in both approaches and 2. gives a theoretical comparison of the (local) stability of an FVTD scheme as opposed to the conventional Yee-scheme commonly used in FDTD. Finally the principles of a new FVTD program is presented. Its capabilities are demonstrated by the field of an antenna array.
S-Adenosyl-L-Methionine protects the probiotic yest, Saccharomyces boulardii , from acid-induced cell death

Background: Saccharomyces boulardii is a probiotic yeast routinely used to prevent and to treat gastrointestinal disorders, including the antibiotic-associated diarrhea caused by Clostridium difficile infections. However, only 1-3% of the yeast administered orally is recovered alive in the feces suggesting that this yeast is unable to survive the acidic environment of the gastrointestinal tract. Results: We provide evidence that suggests that S. boulardii undergoes programmed cell death (PCD) in acidic environments, which is accompanied by the generation of reactive oxygen species and the appearance of caspaselike activity. To better understand the mechanism of cell death at the molecular level, we generated microarray gene expression profiles of S. boulardii cells cultured in an acidic environment. Significantly, functional annotation revealed that the up-regulated genes were significantly over-represented in cell death pathways Finally, we show that S-adenosyl-L-methionine (AdoMet), a commercially available, FDA-approved dietary supplement, enhances the viability of S. boulardii in acidic environments, most likely by preventing programmed cell death. Conclusions: In toto, given the observation that many of the proven health benefits of S. boulardii are dependent on cell viability, our data suggests that taking S. boulardii and AdoMet together may be a more effective treatment for gastrointestinal disorders than taking the probiotic yeast alone.
REVISING THE VISION : LEARNING ABOUT LEARNING WITH COMPUTER-BASED ASSESSMENT

Visions of an assessment method that is learning-oriented, time-efficient, with automated-marking and data collecting techniques are seductive in a post-compulsory world of increasing work with decreasing workers. In this paper, the authors describe how their design of computer-based assessment (CBA) in an Education course integrated student learning, student assessment and evaluative research. An essential aspect of this design was to incorporate an extended formative assessment period where students developed a range of strategies to maximize their learning performance in the summative CBA. As students learnt to learn, the authors were learning about learning and a shared vision of a learning community emerged.
The Kronecker summation method for robust stabilization applied to a chemical reactor

The paper focuses on robust stabilization where the suitable parameters of a simple continuous-time PI controller are determined through a combination of the Kronecker summation method, sixteen plant theorem, and an algebraic approach to control design in the ring of proper and stable rational functions. The initial theoretical background is followed by an illustrative experiment which includes computation of the controller and verification of control results for a continuous stirred tank reactor with exothermic reaction modelled as a fourth-order interval system.
Effect of leaf rust infection on mycorrhizal colonization of weeds

The present study reports the effect of leaf rusts Puccinia punctiformis (Str.) Rohl. , Melampsora euphorbiae (Schub.) Cast. and Uromyces rumicis (Schum.) Winter, on arbuscular mycorrhizal (AM) colonization of host weeds namely Cirsium arvense (L.) Scop. , Euphorbia helioscopia L. and Rumex dentatus L. , respectively. Healthy, moderately infected and severely infected plants of these test species were collected at flowering stage. Mycelial colonization was recorded in terms of percentage on the bases of presence and absence of these structures. Arbuscular and vesicular colonization were quantified by counting these structures per centimeter of root length on an average. Mycelial colonization was not significantly affected by disease in any of the three test species. There was very heavy colonization ranging from 90–100% in different healthy and diseased root samples. Response of arbuscular colonization to rust infection was variable with respect to host species. In both C. arvense and E. helioscopia effect of moderate rust infection was insignificant. Heavy disease infection significantly suppressed the number of arbuscules in C. ravens and increased in E. helioscopia. Conversely, in R. dentatus moderate rust infection significantly enhanced the number of arbuscules while heavy infection completely arrested the formation of these structures. Vesicular colonization was significantly enhanced by heavy infection in C. arvense while in E. helioscopia both moderate and heavy infections significantly reduced the number of arbuscules. In R. dentatus vesicular colonization was entirely lacking.
Hydraulic architecture of some diffuse-porous trees

The rate of flow of a dilute KCl solution through sections of stem, branches, and twigs was measured and expressed in microlitres per hour, under conditions of gravity flow, per gram fresh weight of leaves supplied by that section of xylem. This is called leaf-specific conductivity (LSC). It is not uniform throughout the tree, LSC of the stem being higher than that of branches. Furthermore, vascular junctions, such as the path from stem to branch, represent hydraulic constrictions. Distribution of LSC in the tree is primarily based on varying vessel diameters. Vessel diameters increase from top to bottom in the tree stem. They are smaller in branches than in the main stem, and there is a distinct constriction of diameters at the base of each branch. Functionally this means that when transpiration begins the pressure has to drop more rapidly in the xylem of lower lateral leaves than in those at the top of the tree. It also means that under conditions of water stress peripheral parts of the tree are more vu.