Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge-based theories of the firm in strategic management : a review and extension

Large infrastructure projects are seldom completed on time or on budget. Unlike many other projects of this type, the construction of the Oresund Bridge was considered to be a successful infrastructure project. Since no plan can foresee all events, deviations from plans arise, and these have to be managed as they appear during construction. How deviations are managed is of strategic importance. This dissertation investigates the ability of the contractor organization, constructing the Oresund Bridge, to manage deviations from prescribed requirements. Deviations can be detected and corrected through formal routines (ISO 9000, a quality standard), or informal groups (communities of practice). The findings show that deviations were managed through both communities of practice as well as through formal routines. The development of communities of practice was both impeded and enhanced by the built-in surveillance and disciplining processes embedded in ISO 9000, as well as the ability to communicate using rich media. The performance of the communities studied was variable, and moreover, it can be concluded that some communities of practice are more important than others. The implications of this dissertation is that when knowledge-based capability of managing deviations is included as a metric of project performance several actions could have been taken to enhance the management of deviations.
A Geometric Model for Measuring Depth Perception in Immersive Virtual Environment

Study of three-dimensional (3D) gaze and depth perception in immersive virtual environment (IVE) systems is an important research area. Several approaches have been proposed, but the usage of gaze-screen information for depth perception measurement in IVE has never been reported. We suggest a new approach using geometric model to measure depth perception in IVE. We extend information from binocular gaze-screen mapping and obtain the depth information by line-crossing method. We also investigate error of depth perception by eye camera alignment and front/behind screen condition. Our simulation results show that the 2D gaze tracking estimation error of the proposed method is lower than 1° and yields depth measurement accuracy more than 84% on ±0.6 to ±1 meter depth of front/behind screen condition. Author
A Positive Theory of Social Entrepreneurship

I propose a theory aimed at advancing scholarly research in social entrepreneurship. By highlighting the key trade-off between value creation and value capture and explaining when situations of simultaneous market and government failure may arise, I suggest that social entrepreneurship is the pursuit of sustainable solutions to neglected problems with positive externalities. I further discuss the situations in which problems with externalities are likely to be neglected and derive the central goal and logic of action of social entrepreneurs, in contrast to commercial entrepreneurs. Overall, this article provides a conceptual framework that allows understanding the growing phenomena of social entrepreneurship and its role in the functioning of modern society.
I2R At ImageCLEF Wikipedia Retrieval 2010

We report on our approaches and methods for the ImageCLEF 2010 Wikipedia image retrieval task. A distinctive feature of this year’s image collection is that images are associated with unstructured and noisy textual annoations in three languages: English, French and German. Hence, besides following conventional text-based and multimodal approaches, we also focus some eort into investigating multilingual methods. We submitted a total of six runs along the following three directions: 1. augmenting basic text-based indexing with feature selection (three runs), 2. multimodal retrieval that re-ranks text-based results using visualnear-duplicates (VND), (one run), and 3. multilingual fusion that combines results from the three language resources indexed separately (two runs). Our best result (i2rcviu MONOLINGUAL, MAP of 0.2126) comes from the latter multilingual fusion approach, indicating the promise of exploiting multilingual resources. For our multimodal re-ranking run, we adopt a pseudo-relevance-feedback approach that builds a visual prototype model of each query without the need for any labeled example images. Essentially, we assume that the top-ranked image results from a text baseline retrieval are correct, and proceed to re-rank the result list such that images that are visually similar images to the top-ranked images are pushed up the ranks. This VND-based re-ranking is applied on the results of a text baseline (RUN i2rcviu I2R.baseline, MAP of 0.1847) that indexed images using all available annotations. This visual re-ranking run (i2rcviu I2R.VISUAL.NDK) achieves a MAP of 0.1984, a 7% improvement. Led by this encouraging result, we apply our VND re-ranking on the results from the multilingual run, and obtain our best retrieval result (not submitted) of 0.2338.
The post-Newtonian limit of dilaton gravity

We study the post-Newtonian limit of a generalized dilaton gravity in which gravity is coupled to dilaton and eletromagnetic fields. The field equations are derived using the post-Newtonian scheme, and the approximate solution is presented for a point mass with electric and dilaton charges. The result indicates that the dilaton effect can be detected, in post-Newtonian level, using a charged test particle but not a neutral one. We have also checked that the approximate solution is indeed consistent with the weak field expansion of charged dilaton black hole solution in the harmonic coordinate. E-mail address: rrhsu@mail.ncku. edu.tw E-mail address: phycrl@ccunix.ccu. edu.tw 1
Applying Fundamental Analysis and Neural Networks in the Australian Stockmarket

This paper demonstrates how neural networks may be successfully applied to the problem of security selection in the Australian Stockmarket. In practice, it is unrealistic for a trader to apply capital to all securities available in the market, and a selection technique must be employed to reduce the number of securities competing for capital. Selection techniques are generally based on either fundamental analysis procedures, or technical analysis procedures. This paper focuses on fundamental procedures, and implements a neural network which enhances the effectiveness of these procedures.
A Review: The Current In Vivo Models for the Discovery and Utility of New Anti-leishmanial Drugs Targeting Cutaneous Leishmaniasis

The current in vivo models for the utility and discovery of new potential anti-leishmanial drugs targeting Cutaneous Leishmaniasis (CL) differ vastly in their immunological responses to the disease and clinical presentation of symptoms. Animal models that show similarities to the human form of CL after infection with Leishmania should be more representative as to the effect of the parasite within a human. Thus, these models are used to evaluate the efficacy of new anti-leishmanial compounds before human clinical trials. Current animal models aim to investigate (i) host–parasite interactions, (ii) pathogenesis, (iii) biochemical changes/pathways, (iv) in vivo maintenance of parasites, and (v) clinical evaluation of drug candidates. This review focuses on the trends of infection observed between Leishmania parasites, the predictability of different strains, and the determination of parasite load. These factors were used to investigate the overall effectiveness of the current animal models. The main aim was to assess the efficacy and limitations of the various CL models and their potential for drug discovery and evaluation. In conclusion, we found that the following models are the most suitable for the assessment of anti-leishmanial drugs: L. major–C57BL/6 mice (or–vervet monkey, or–rhesus monkeys), L. tropica–CsS-16 mice, L. amazonensis–CBA mice, L. braziliensis–golden hamster (or–rhesus monkey). We also provide in-depth guidance for which models are not suitable for these investigations.
Predicting Cardiovascular Fitness in Ethnic Minority Youth: A Comparison of Demographic, Body Composition, and Physical Activity Variables

Prevalence of obesity, low physical activity, and poor physical fitness of youth in the United States are increasingly poor and in need of intervention to prevent later concerns like hypertension. The overall goal of this dissertation was to examine which factors weigh heaviest in predicting cardiovascular fitness in diverse youth, and how we might measure those factors by maximizing clinical utility and psychometric properties. The sample was gathered from a larger study examining physical activity in youth from Miami-Dade county enrolled in out-of-school programs. Participants (N = 58) were aged 6-17 and comprised exclusively of Hispanic and Non-Hispanic Black children and adolescents, the majority of whom were from low-income families. Predictors of fitness were gathered in three primary categories: demographic variables (age, gender, race/ethnic category, family income level), body composition (Body Mass Index [BMI] percentile, Bioelectrical Impedance Analysis [BIA]-measured body fat percentage), and habitual physical activity (accelerometer-measured counts per minute). These factors were entered in a hierarchical regression model to predict cardiorespiratory fitness measured by performance on a 20-meter shuttle run. Physical activity was not found to be significantly associated with fitness, and the effect size of this relationship was small, particularly when considering the impact of demographic and body composition variables. Overall, results reinforced the need for interventions to improve body composition and increase physical activity: the average participant was at the 81 st percentile of BMI, had 26% body fat, was sedentary for approximately 84% of awake time, and only spent a few minutes per day engaging in vigorous physical activity. There were significant main effects of gender and race/ethnic category such that males and Non-Hispanic Black participants generally spent a greater proportion of time engaging in physical activity, with less sedentary time. Being female, younger, and having less body fat was associated with performance in the healthy fitness range when considering the impact of other variables, even though boys and older participants had more laps on the shuttle run. Findings presented in this dissertation indicate a continued need to develop technology with high utility, validity, and reliability to measure and improve indicators of health in diverse, low-income youth. PREDICTING YOUTH FITNESS 1 CHAPTER I: STATEMENT OF THE PROBLEM
Engineered Context-Sensitive Agonism: Tissue-Selective Drug Signaling through a G Protein-Coupled Receptor

Drug discovery strives for selective ligands to achieve targeted modulation of tissue function. Here we introduce engineered context-sensitive agonism as a postreceptor mechanism for tissue-selective drug action through a G protein-coupled receptor. Acetylcholine M2-receptor activation is known to mediate, among other actions, potentially dangerous slowing of the heart rate. This unwanted side effect is one of the main reasons that limit clinical application of muscarinic agonists. Herein we show that dualsteric (orthosteric/allosteric) agonists induce less cardiac depression ex vivo and in vivo than conventional full agonists. Exploration of the underlying mechanism in living cells employing cellular dynamic mass redistribution identified context-sensitive agonism of these dualsteric agonists. They translate elevation of intracellular cAMP into a switch from full to partial agonism. Designed context-sensitive agonism opens an avenue toward postreceptor pharmacologic selectivity, which even works in target tissues operated by the same subtype of pharmacologic receptor.
Improved methodology for accessing industry based microbial database using Fuzzy Relational Algebra and proposing a microbial fuzzy database model

Numerous biological databases such as Microbial Genome Database for Comparative Analysis (MBGD), Microbial Identification and Typing Database (HPA) and National Microbiological Database (NMD) have been developed in recent times which triggered impacts in the different research fields of biological sciences. It has been observed that due to adaptability, evolution, and emergence, the biological systems are very much uncertain and hence require complexity analysis. Reports suggest that little work has been done in modeling uncertainty and developing methodologies for such databases at the industrial level. Although, there have been several proposals for extending relational database system to represent and retrieve data, the present concept emphasizes the use of fuzzy relational algebra to access the database as applicable in the Industries. Aim - To fill this gap an applicable Industry based Microbial Fuzzy database model and an improved methodology for accessing the Industry based Microbial Fuzzy Database using Fuzzy Relational Algebra (MBFRDB) is proposed in this paper. Methods- In the present proposal access to database is accomplished through a relation algebra which comprises of sequential applications of operations including an operation name, names of relations, names of domains to be operated on and an optional conditional expression. The algebra also contain other relational operations such as compliment, union, intersection and joins which performs the tasks on the relations and the domains specified in order to produce the desired information. Results- The approach focuses on solving the complexity in a robust system and managing its uncertainty at diversified industrial and lab scale respectively.
Forceps size and immune function in the earwig Forficula auricularia L.

Females of many species select their mates on the basis of the size or intensity of sexual ornaments, and it has been suggested that these provide reliable signals of a male’s ability to resist parasites and pathogens. European earwigs, Forficula auricularia, are sexually dimorphic in forceps shape and length. Male forceps are used as weapons in male contests for access to females, but recent findings suggest that females also choose males on the basis of their forceps length. In the present study, we tested the hypotheses that in the European earwig, F. auricularia, the size of forceps is correlated with immune function and that immune function differs between the sexes. We found that encapsulation rate was not correlated with the length of forceps in either sex, but was negatively correlated with body size. By contrast, lytic activity of the haemolymph increased with overall body size in both sexes but, in females, lytic activity increased with relative forceps length whereas, in males, it decreased with relative forceps length. After accounting for effects of body size, there was no remaining significant correlation in females but the negative correlation in males remained. Furthermore, we found that males had higher encapsulation rate and higher lytic activity than females, suggesting that males have stronger immune defence. The results of the study indicate that the size of forceps in male earwigs does not reliably reflect male immune defence. © 2007 The Linnean Society of London, Biological Journal of the Linnean Society, 2007, 90, 509–516.
Stereoscopic 3D mobile maps for indoor navigation in multi-level buildings

Autostereoscopic 3D (S3D) displays, enabling the perception of depth without requiring the viewer to wear special glasses, are now commercially available in a variety of sizes, from phones to large displays. In this paper, we present our research demonstrator where S3D display equipped mobile devices are used to provide a user interface (UI) for indoor navigation. The design approach suits especially for aiding navigation within multi-level buildings, such as shopping malls, airports and museums. Compared to the current 2D design approach of displaying building floor levels side-by-side, the use of stereoscopic 3D offers potential to improve understanding of the space, glanceability of map based UIs, and the ability to navigate between locations on different floor levels.
Higher Order Compact Scheme Combined with Multigrid Method for Momentum, Pressure Poisson and Energy Equations in Cylindrical Geometry

A higher-order compact scheme combined with the multigrid method is developed for solving Navier-Stokes equations along with pressure Poisson and energy equations in cylindrical polar coordinates. The convection terms in the momentum and energy equations are handled in an effective manner so as to get the fourth order accurate solutions for the flow past a circular cylinder. The superiority of the higher order compact scheme is clearly illustrated in comparison with upwind scheme and defect correction technique by taking a large domain. The developed scheme accurately captures pressure and velocity gradients on the surface when compared to other conventional methods. The pressure in the entire computational domain is computed and the corresponding fourth order accurate pressure fields are plotted. The local Nusselt number and mean Nusselt number are calculated and compared with available experimental and theoretical results.
Schema Matching Using Directed Graph Matching

Integration of data from multiple sources has gained importance as data and the data providers explode at a faster rate. Schema matching is considered an important step in integrating data from multiple sources. Most of the available techniques for automated schema matching require interpretation of attribute names and data values. Such techniques fail when the data sources have incomprehensible attribute names and data values. An alternative schema matching technique, which uses statistics from the schema instances and does not require value interpretations, is proposed in this paper. In this work, functional dependency (FD) relationships between attributes of two schemas are represented in the form of a directed dependency graph. A primitive directed graph matching algorithm is used to find the matching between the two dependency graphs and therefore to find the corresponding attributes of the two schemas. The experimental results show that the proposed approach increases the accuracy of matching as it uses fine grained functional dependency relationships between attributes to compare two schemas.
Using multiple view in optimizing detector placement for petrochemical plant

The aim of this work is to provide current oil and gas industries with a method to determine the placement of visual detectors for processing plant such as petrochemical plant. Nowadays industries practices are replacing conventional IR and UV detector with more advanced visual fire detector, which are less prone to false alarm, and having similar properties as CCTV camera. Development of the proposed method will follow the conventional protocol of fire detector mapping used by oil and gas industry. Several restriction and limitation have been stated to narrow down the scope to provide more applicable solution. By using multiple views, the proposed method is able to estimate the optimal placement of detector as similar to 3D methods.
An Examination of Community Members’, Researchers’ and Health Professionals’ Perceptions of Barriers to Minority Participation in Medical Research: An Application of Concept Mapping

Objective. Some of the most promising medical treatments are currently being developed and used in clinical trials. In the US, rates of chronic disease among racial/ethnic minorities are disproportionately high. Unfortunately, the rates of minority participation in medical research are low, and the reasons are unclear. This study seeks to contribute to the body of knowledge that is currently available relating to the specific barriers to racial/ethnic minority participation in medical research through the conceptualization and measurement of these barriers. Design. Study participants included a convenience sample obtained from the National Cancer Institute's Special Populations Networks, and consisted of practitioners, researchers and community members who specialize in research related to the treatment and prevention of cancer. A structured form of concept mapping (Trochim 1989) was the methodology used in this study. The concept mapping process has three specific phases: (1) project planning—development of project focus statements and sample selection (2) idea generation and structuring and (3) analysis and interpretation. This method is analogous to a more formalized and structured focus group approach, and involved the gathering of 149 ideas and the sorting of 70 statements. Comparisons across participant demographics were conducted and are presented in the form of pattern matches. Results. The findings of this study suggest that there are two specific areas where barriers to minority participation may be addressed. The first area is the research system, specifically, the manner in which research studies are designed and implemented, including referral, recruitment and retention of racial/ethnic minorities. The data suggest that recruitment and retention will be aided by addressing patient concerns regarding the research process, and assuaging fears about clinical trials. The second area pertains to minority perceptions of the research process based on history and personal experiences. Conclusion. There appears to be a difference in the barriers to participation as defined by community members themselves, and health professionals’ perceptions of these barriers. Increased inclusion of minorities in the design, management, and implementation of medical research studies would help mitigate negative perceptions of the research process, and serve to increase participation among racial/ethnic minorities.
On SYZ mirror transformations

In this expository paper, we discuss how Fourier-Mukai-type transformations, which we call SYZ mirror transformations, can be applied to provide a geometric understanding of the mirror symmetry phenomena for semi-flat Calabi-Yau manifolds and toric Fano manifolds. We also speculate the possible applications of these transformations to other more general settings.
Automated Trading Systems: Developed and Emerging Capital Markets

Automated trading systems on developed and emerging capital markets are studied in this paper. The standard for developed market is automated trading system with 40-days simple moving average. We tested it for the index SIX Industrial for 1000 and 730 trading days of the slovak emerging capital market. The Buy and Hold trading system was 7.80 times more profitable than this etalon trading system for active trading. Taking of profitable standard trading system from a developed capital market does not lead to optimal results on the emerging capital markets. We then studied optimized standard trading system based on the simple moving average. The parameter of optimization was the number of weeks. An optimal system was that with 5 weeks. This trading system has some of its characteristics comparable with the etalon trading system on the NYSE Composite Index. The emerging market is more risky than the developed market. The profit on the emerging market is also higher. The range of optimized system parameter is quite robust. Observed was increase of number of trades in the range from the 21 weeks to the 25 weeks. This indicates creation of a new optimal middle range trading system. Results of testing for liquid shares are quantitatively similar.
Surface Architecture of Histoplasma Capsulatum

The dimorphic fungal pathogen Histoplasma capsulatum is the most frequent cause of clinically significant fungal pneumonia in humans. H. capsulatum virulence is achieved, in part, through diverse and dynamic alterations to the fungal cell surface. Surface components associated with H. capsulatum pathogenicity include carbohydrates, lipids, proteins, and melanins. Here, we describe the various structures comprising the cell surface of H. capsulatum that have been associated with virulence and discuss their involvement in the pathobiology of disease.