Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study on Risks and Benefits of Building Information Modeling (BIM) in a Construction Organization Bachelor of Science Thesis in 'Software Engineering and Management'

During the past three decades, the construction industry has seen substantial improvement by using information technology. BIM is a fine example. The purpose of this research is to improve the understanding of BIM’s benefits and risks in a construction organization, NCC AB. This study included different views about BIM from people in construction industry. People with extensive knowledge about BIM have been interviewed, from NCC, to get qualitative data for this research. In this research the qualitative data analysis had been used, empirical findings from this analysis helped to generate theories. The benefits and risks while using BIM in construction industry are being explored here. Several factors like communication and training which affect end-user and how NCC manages to make them adopt BIM are also have been discussed here.
Career learning and career learning environment in Dutch higher education

Purpose – The purpose of this paper is to focus on the effects of career development and guidance among students (age 17-23) enrolled in higher education in The Netherlands. First the paper explores whether the development of career competencies contribute to career identity, learning motivation, certainty of career choice and drop out, and also whether the learning environment affects these variables. In the study, four career competencies are identified: career reflection (reflective behavior), work exploration (exploring behavior), career action (pro-active behavior) and networking (interactive behavior). Aspects of the learning environment that are taken into account are practice- and inquiry-based curriculum and career guidance conversations. Design/methodology/approach – A questionnaire-based study was carried out among 4,820 students and 371 (school) career counsellors in 11 universities. Findings – The results show that career competencies are related to learning motivation, career identity, certa.
On the assessment and impact of liver fibrosis in patients with chronic hepatitis C

I. Ydreborg M, Soderstrom A, Hakansson A, Alsio A, Arnholm B, Malmstrom P, Hellstrand K, Westin J and Lagging M. Look-back screening for the identification of transfusion-induced hepatitis C virus infection in Sweden. Scand J Infect Dis. 2011 Jul;43(6-7):522-7. II. Ydreborg M, Westin J, Lagging M, Castedal M, Friman S. Impact of donor histology on survival following liver transplantation for chronic hepatitis C virus infection: a Scandinavian single-center experience. Scand J Gastroenterol. 2012 Jun;47(6):710-7. III. Ydreborg M, Lisovskaja V, Lagging M, Brehm Christensen P, Langeland N, Rauning Buhl M, Pedersen C, Morch K, Wejstal R, Norkrans G, Lindh M, Farkkila M, Westin J. A novel fibrosis index comprising a non-cholesterol sterol accurately predicts HCVrelated liver cirrhosis. Submitted IV. Ydreborg M, Westin J, Rembeck K, Lindh M, Norrgren H, Holmberg A, Wejstal R, Norkrans G, Cardell K, Weiland O, Lagging M. Impact of IL28B-related single nucleotide polymorphisms on liver transient elastography in chronic hepatitis C infection. PLoS One, 2013. In press
Investigation of Efficient Cryptic Algorithm for image files Encryption in Cloud

Received: Sep/12/2016, Revised: Sep/20/2016, Accepted: Oct/19/2016, Published: Oct/30/2016 AbstractWith the increasing demand of Cloud based resources, the customers have been attracted to the various offerings of cloud computing and mainly it has been seen that the Cloud storages have been centre of attraction because of free limited storage for users. Customers are moving their documents into cloud storages because of various options in cloud storages. We are using various mobile based apps to store images in our system but due to limited storage capacity of our system we prefer cloud storages for storing different files specially images. The image files include files of various formats like JPG Image Files, GIF Images, JPEG Files etc. The image documents on Cloud or server repository is increasing rapidly. Therefore, it becomes necessary to ensure confidentiality, integrity and authenticity of document or information over cloud storage and in addition, there must be some mechanism that helps users for fast encryption of their image to be stored in cloud and fast decryption of same image from cloud to their devices. Since the service level, agreements are very strong and there is no fear to keep the data in cloud because of strong SLA implementation policies. Therefore, we must investigate Conventional algorithm’s efficiency over cloud in terms encryption time, decryption time, key sizes. In this paper we will analyse the performance for exchange of Images with various block cipher SKC algorithms specially 3DES, AES and Blowfish to find more efficient symmetric block cipher algorithm in the term of encipherment and decipherment time at different settings like variable file sizes with fixed key sizes, variable file sizes with variable key size, Fixed file sizes with fixed key size and Fixed file sizes with variable key sizes.
Trade Structure and Equilibrium Indeterminacy in a Two-Country Model

This paper explores a dynamic two-country model with production externalities in which capital goods are not traded and international lending and borrowing are allowed. Unlike the integrated world economy model based on the Heckscher-Ohlin setting, our model yields indeterminacy of equilibrium under a wider set of parameter values than in the corresponding closed economy model. Our finding demonstrates that the assumption on trade structure would be a relevant determinant in considering the relation between globalization and economic volatility.
DETERMINING EVOLVING FOCUSES IN SOCIAL TORRENTS VIA LINK-DIFFERENCE EXPOSURE

We're concerned in recognition of emerging topics from social streams that are widely-used to generate automated news, otherwise uncover hidden market needs. Within our work we advise a probability representation of mentioning performance of social networking user, and suggest realizing emergence in the novel subject from anomalies which are measured completely through model. Our work is dependent upon concentrating on social content of documents plus mixing this having a change-point analysis. We spotlight on materialization of topics which are signalled by social highlights of scalping systems and concentrate on mentions of users, links among users which are created energetically completely through replies, mentions, furthermore to re-tweets. Tracking of topics were studied broadly in subject recognition furthermore to tracking as well as in this situation major task should be to additionally classify one document into among recognized topics so that you can realize that it's associated with nobody of recognized groups. The fundamental concept of our strategy is to pay attention to on social feature of posts which are reflected in mentioning conduct of users as opposed to textual contents.
Energy Frontier Research Center for Solid-State Lighting Science: Exploring New Materials Architectures and Light Emission Phenomena

The Energy Frontier Research Center (EFRC) for Solid-State Lighting Science (SSLS) is one of 46 EFRCs initiated in 2009 to conduct basic and use-inspired research relevant to energy technologies. The overarching theme of the SSLS EFRC is the exploration of energy conversion in tailored photonic structures. In this article we review highlights from the research of the SSLS EFRC. Major research themes include: studies of the materials properties and emission characteristics of III-nitride semiconductor nanowires; development of new phosphors and II–VI quantum dots for use as wavelength downconverters; fundamental understanding of competing radiative and nonradiative processes in current-generation, planar light-emitting diode architectures; understanding of the electrical, optical, and structural properties of defects in InGaN materials and heterostructures; exploring ways to enhance spontaneous emission through modification of the environment in which the emission takes place; and investigating routes such.
Global Games and Equilibrium Selection

A global game is an incomplete information game where the actual payoff structure is determined by a random draw from a given class of games and where each player makes a noisy observation of the selected game. For 2 x 2 games, it is shown that, when the noise vanishes, iterated elimination of dominated strategies in the global game forces the players to conform to J. C. Harsanyi and R. Selten's risk dominance criterion. Copyright 1993 by The Econometric Society.
Graphical Determination of Groups and Outliers in Distance-Based Cluster Analysis

Cluster analysis is a popular unsupervised learning method. Its goal is to find a partition of a dataset of N objects into k well separated groups: elements within a group must be similar (in some sense) to one another, and different to elements in other groups. The fundamental problem of cluster analysis is to determine the real number of groups (k) in the dataset. In this paper, a new method of clustering is presented, to simultaneously determine the number of groups and the clustering in a dataset. This method is based on graph theory. Dissimilarity data between objects is used to form a dissimilarity graph, in which the vertices are the objects in dataset, and the edges are weighted according to the dissimilarity between the objects. Two vertices are then connected by an edge, when the dissimilarity among them is under some certain threshold. A statistical procedure is proposed to determine the appropriate threshold to split the graph into its connected components. As an additional result, cases which are isolated can be considered as outliers and may need to be further analyzed. This method has been tested on some different datasets, and results obtained are analyzed taking into account the resulting clustering.
Corporate Turn Around Strategies By Financially Distressed Companies Quoted At The Nairobi Securities Exchange

Firms that are experiencing financial distress take one action or another in order to turn around their performance. This study sought to find out what turnaround strategies are taken by companies that faced by financial distress. The financially distressed companies generally take actions that are aimed at reducing costs e.g. laying off employees, asset sales and dividend cuts or take actions that are aimed at increasing revenue generation e.g. asset acquisitions in order to improve efficiency. In severe cases of financial distress a company may opt or be forced into liquidation through bankruptcy proceedings. The Kenyan economy under the period of review had mixed results of growing and declining presumably as a result of among others, the global economic crises, the post election violence, loss of investor confidence at the NSE and increased inflation, thus the need to establish the restructuring strategies that the financially distressed companies took in order to turnaround their performance. This study carried out a survey of the companies that were listed for the entire period of the study (2002-2008). Performance of the companies was established by conducting the Z score analysis on each of the companies. The Z score analysis identified 8 companies has having been financially distressed at one point or another during the period of the study. The survey found out that employee layoff was the most preferred course of action being carried out by 63% by the companies. Asset restructuring was the second most preferred turnaround strategy being carried out by 50% of the companies. Debt restructuring and top management change were the least preferred turn around strategies each one of them being taken by one company each. The study also found out that, in the year of distress the restructuring strategies are more intensified and are carried out less intensively in the subsequent years after distress. This may is presumably because of reducing the immediate liquidity problems being faced by the firm. KEY WORDS: Financial Distress LIST OF ACRONYMS NSE Nairobi Securities Exchange NYSE New York Stock Exchange CBK Central Bank of Kenya US United States of America UK United Kingdom ROA Return on Assets CEO Chief Executive Officer EBIT Earnings before interest and taxes
Membrane Transport of Lactic Acid in the Filamentous Fungus Rhizopus

The fungus Rhizopus is frequently used for fermentative production of lactic acid, but little is known about the mechanisms or proteins for transporting this carboxylic acid. Since transport of the lactate anion across the plasma membrane is critical to prevent acidification of the cytoplasm, we evaluated the functionality of two lactate-proton symport paralogs, LacA and LacB, from R. delemar. Both of these proteins showed significant ancestral homology to bacterial lactate permease with 46-50% identity to similar homologs from the genus Burkholderia. Based on qPCR, the highest level of expression in Rhizopus for the lacA gene was on complex medium containing pyruvate, while lacB transcript was barely detected with all of the tested culture conditions. A Saccharomyces cerevisiae jen1 deletion strain lacking the ability to transport monocarboxylates was restored for growth on lactate and pyruvate with the expression of LacA. Expression of the LacB in this same strain did not confer the ability to grow on either carbon source. LacA expression also allowed active transport of L-[C(U)]-lactate into yeast cells and this accumulation was inhibited by the proton uncoupler carbonyl cyanide p-(trifluoromethoxy) phenylhydrazone. Translation fusions with GFP showed that LacA accumulates primarily in the plasma and vacuolar membrane, while LacB is dispersed throughout the cytoplasm. These results indicate that the Rhizopus LacA is a functional lactate symport that is probably involved in uptake of pyruvate or lactate, while the physiological role of LacB is unknown.
Exact half-BPS flux solutions in $M$ theory with D(2,1;$c^\prime$;0)$^2$ symmetry: Local solutions

We construct local solutions to 11-dimensional supergravity (or M-theory), which are invariant under the superalgebra $D(2, 1; c'; 0)\oplus D(2, 1; c'; 0)$ for all values of the parameter $c'$. The BPS constraints are reduced to a single linear PDE on a complex function $G$. The PDE was solved in 0806.0605 modulo application of boundary and regularity conditions. The physical fields of the solutions are determined by $c'$, a harmonic function $h$, and the complex function $G$. $ h$ and $G$ are both functions on a 2-dimensional compact Riemannian manifold. The harmonic function $ h$ is freely chosen. We obtain the expressions for the metric and the field strength in terms of $G$, $h$, and $c'$ and show that these are indeed valid solutions of the Einstein, Maxwell, and Bianchi equations. Finally we give a construction of one parameter deformations of $AdS_7 \times S^4$ and $AdS_4 \times S^7$ as a function of $c'$.
The Human Face Detection Algorithms Research and exploration Based on Adaboost

In this thesis, we implement a fast human face detection system based on the the latest real-time feature detection algorithms presented by Paul Viola (1). Based on the implementation of the algorithms developed by Paul, we developed a quick image scanning algorithm and an algorithm for simple classifier initialization and its optimization and a method for image data preprocess of the training system. Through the experiment, we try to get the optimal parameters to construct a human face detector with high detection speed and detection rate. Finally, we will have an analysis on our experiment results and on the issue of feature selection with different system parameters and the detection result of the whole system.
Bank portfolio structure and absorption theory of economic development

The focus of this article was on theoretical proposition of Bank Portfolio Structure and Economic Absorption Theory of economic development. Specifically, this work sought to establish the basis of bank portfolio rigidity and to identify the causes of economic absorption problems and their implications on economic development. The theoretical and conceptual research designs were used. Existing literatures were reviewed using archival retrieval approach, library search and internet exploration. The information obtained was judgmentally, logically and qualitatively analyzed. It was discovered among other aspects, that, bank portfolio rigidity stems from regulatory policy defects using inconsistent monetary policy tools such as high liquidity ratio and cash ratio, etc. and compelling the banks to adhere to the regulatory requirement, as well as lack of adequate and quality stock of infrastructure and technology as the basic causes of economic absorption problems. Above all, low level of economic absorption has been discovered to hinder effective contributions of banks to economic development. Following from above, it was therefore recommended that regulatory tools used by Central Banks should be aligned with the development needs of the economy and the direction of governments. The monetary policy tools such as liquidity and cash ratios should also be moderated and stabilized for stable bank portfolio performance as well as aggressive improvement in the stock and quality of infrastructure and technology within an economy. With the new theory, it is expected that policy formulations and adjustments concerning bank portfolio structure and management would be designed with adequate flexibility and focus on long term loans and investments coupled with improved stock and quality of infrastructure to enhance economic development. This theory therefore provides another frontier of research on bank portfolio structure and contributions to economic development.
A Pilot Research Moored Array in the Tropical Atlantic (PIRATA)

Abstract The tropical Atlantic Ocean is characterized by a large seasonal cycle around which there are climatically significant interannual and decadal timescale variations. The most pronounced of these interannual variations are equatorial warm events, somewhat similar to the El Nino events for the Pacific, and the so-called Atlantic sea surface temperature dipole. Both of these phenomena in turn may be related to El Nino-Southern Oscillation variability in the tropical Pacific and other modes of regional climatic variability in ways that are not yet fully understood. PIRATA (Pilot Research Moored Array in the Tropical Atlantic) will address the lack of oceanic and atmospheric data in the tropical Atlantic, which limits our ability to make progress on these important climate issues. The PIRATA array consists of 12 moored Autonomous Temperature Line Acquisition System buoy sites to be occupied during the years 1997-2000 for monitoring the surface variables and upper-ocean thermal structure at key location.
The fractal shape of speckled darkness

Propagating three-dimensional speckle fields are threaded by random networks of nodal lines (optical vortices). We review our recent numerical superpositions of simulations of random plane waves modelling speckle (O'Holleran et al. Phys. Rev. Lett. in press), in which the nodal lines and loops were found to have the fractal structure of brownian random walks. We discuss this result, and its comparison with the discrete vortices of the Z3 lattice model for cosmic strings. We argue that the scaling depends on the geometry of small vortex loops and avoided crossings. The analytic statistics of these events, along with related singularities are discussed, and the densities of vorticity-vanishing points and anisotropy C lines are found explicitly.
Influence of GaAs substrate on the transmission performance of epitaxially grown Fabry-Peerot f ilter

The influence of GaAs substrate on the transmission performance of a multi-film Fabry-Peerot filter (FPF), fabricated by metalorganic chemical vapor deposition epitaxial growth on GaAs substrate, is investigated using the transfer matrix method. On the basis of the theoretical simulation, we determine that the quality of the resonant transmission peak of this epitaxially grown FPF (EG-FPF) deteriorates through splitting when the substrate is taken into account. Rapid periodic oscillation of peak-transmittivity along with the alteration of substrate thickness is also observed in the simulation results. Finally, a remarkably improved transmission performance of the EG-FPF is obtained by thinning the substrate down to a suitable thickness range through well-controlled grinding and polishing.
Deteção de fraude em telecomunicações com técnicas de Data Mining

This document presents the final report of the thesis “Telecommunication Fraud Detection Using Data Mining Techniques”, were a study is made over the effect of the unbalanced class data, generated by the Telecommunications Industry, in the performance of the classification algorithm Naive Bayes. In this subject, an unbalanced class data set is characterized by an uneven class distribution where the amount of fraudulent instances (positive class) is substantially smaller than the amount normal instances (negative class). This will result in a classifier which is most likely to classify data belonging to the normal class then to the fraud class. At first, an overall inspection is made over the data characteristics and the Naive Bayes model. A feature engineering stage is executed, with the intent to extend the information contained in the data creating a depper relation with the data itself and algorithm characteristics. A previously proposed solution that consists on undersampling the most abundant class (normal) before building the model, is presented and tested. In the end, the new proposals are presented. The first proposal is to study the effects of changing the intrinsic class distribution parameter in the Naive Bayes model and evaluate its performance. The second proposal consists in estimating margin values that when applied to the model output, attempt to bring more positive instances from previous negative classification. All of these suggested models are validated over a monte-carlo experiment, using data with and without the engineered features.
Active methodologies and teaching performance: a necessary relationship in the field of education

En la presente comunicación, presentamos el proyecto desarrollado dentro del Grupo de Innovación Docente (APAC) de la Facultad de Educación de la Universidad de Burgos: "Metodologías Activas y Desempeño Docente: un camino hacia la inclusión en el aula". El objetivo principal de este proyecto es aportar evidencia empírica sobre el impacto que tiene el uso de metodologías activas en el rendimiento docente en el aula. Sus resultados son la base para la transformación de la formación inicial del profesorado, porque las universidades son responsables de la formación de los profesores que estarán a la vanguardia de las escuelas en el 21 stdo. Por lo tanto, se les debe ofrecer acceso a los recursos en su educación inicial y de por vida que permitan el cambio, permitiéndoles construir el paradigma de la educación inclusiva, sostenible y de calidad.