Miracle-dz/UniFAR-FTUs huggingface dataset:
The Macroeconomics of Deposit Insurance in a Two-country Model

This paper develops a macroeconomic framework to analyze the implications of different deposit insurance regimes in the Eurozone. I develop a two-country model with banks that are subject to endogenous and costly bank runs. The two countries are financially integrated as home banks can lend to foreign banks. I analyze the macroeconomic effect of having deposit insurance either at the national level or harmonized or fully joint for the two countries. I find that harmonized or joint deposit insurance increases steady-state consumption and output and reduces volatilities following macroeconomic shocks, thus leading to welfare gains. However, the two countries do not agree on the welfare ranking of harmonized versus joint deposit insurance. *École Polytechnique Fédérale de Lausanne, E-mail: corinne.dubois@epfl.ch.
MILITARY SPENDING , INEQUALITY AND ECONOMIC GROWTH : EVIDENCE FROM PAKISTAN

A broad strand of literature envisages military spending as a cogent factor for economic growth. A little effort has been made for finding this link for inequality. This study breaks the ice by exploring the link among military spending, inequality and economic growth applying the Generalized Method of Moments (GMM) technique over the period of 1972 to 2016. Using the augmented Solow growth model with Harrod-neutral technology, the study finds positive link between military spending and growth. Inequality turns out to be negatively associated with growth. The study also enlists some policy implications.
Use of hydroxyapatite Ca 5 ( PO 4 ) 3 OH obtained from refuse of cattle slaughterer as a catalyst support : an alternative material for heterogeneous photocatalysis

The composite TiO2/hydroxyapatite, prepared by the impregnation method, has been characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), electronic spectroscopy, and the surface area has been evaluated by Brunauer-Emmett-Teller (BET) technique. The photocatalytic activity was tested in degradation of three different classes of organic molecules in aqueous medium: atrazine (ATR), diclofenac (DFC) and indigo carmine (IC). Electrospray ionization mass spectrometry (ESI-MS) was used to identify the main by-products generated. Based on these results, a mechanism was proposed for the degradation of each component after the photocatalytic process. The degradation rate of each compound was determined by the data acquired from high performance liquid chromatography (HPLC) measurements. Finally, eco-toxicological tests with Artemia salina showed little differences in the toxicity of diclofenac (DFC) and indigo carmine (IC), before and after the degradation process. However, the toxic effects of ATR were reduced by half using the same oxidation approach.
A Novel Feature Selection Technique for Text Classification Using Na \ ve Bayes Subhajit

With the proliferation of unstructured data, text classification or text categorization has found many applications in topic classification, sentiment analysis, authorship identification, spam detection, and so on. There are many classification algorithms available. Näıve Bayes remains one of the oldest andmost popular classifiers. On one hand, implementation of naı̈ve Bayes is simple and, on the other hand, this also requires fewer amounts of training data. From the literature review, it is found that naı̈ve Bayes performs poorly compared to other classifiers in text classification. As a result, this makes the näıve Bayes classifier unusable in spite of the simplicity and intuitiveness of the model. In this paper, we propose a two-step feature selection method based on firstly a univariate feature selection and then feature clustering, where we use the univariate feature selection method to reduce the search space and then apply clustering to select relatively independent feature sets. We demonstrate the effectiveness of our method by a thorough evaluation and comparison over 13 datasets.The performance improvement thus achievedmakes näıve Bayes comparable or superior to other classifiers.The proposed algorithm is shown to outperform other traditional methods like greedy search based wrapper or CFS.
Draft genome sequences for three unisolated Alnus-infective Frankia Sp+ strains, AgTrS, AiOr and AvVan, the first sequenced Frankia strains able to sporulate in-planta

Actinobacteria from genus Frankia are able to form symbiotic associations with actinorhizal plants including alders. Among them, Sp+ strains are characterized by their ability to differentiate numerous sporangia inside host plant cells (unlike “Sp-” strains unable of in-planta sporulation). Here, we report the first genome sequences of three unisolated Sp+ strains: AgTrS, AiOr and AvVan obtained from Alnus glutinosa, A. incana and A. alnobetula (previously known as viridis), respectively (with genome completeness estimated at more than 98%). They represent new Frankia species based on Average Nucleotide Identity (ANI) calculations, and the smallest Alnus-infective Frankia genomes so far sequenced (~5 Mbp), with 5,178, 6,192 and 5,751 candidate protein-encoding genes for AgTrS, AiOr and AvVan, respectively.
Migration, Specialization, and Trade: Evidence from the Brazilian March to the West

Exploiting a large migration of farmers to the West of Brazil between 1950 and 2010, we study how migration shapes aggregate and regional comparative advantage. We document that farmers emigrating from regions with high employment in an activity are more likely to work in that activity and have higher income than other migrants doing so. We incorporate this heterogeneity into a quantitative model and find that, by reshaping comparative advantage, declines in migration costs contributed substantially to Brazil’s rise as a leading commodity exporter. Opportunities to migrate, moreover, account for a substantial share of the gains from trade.
Two-Variable Logic with Counting and Data-Trees

We show NExpTime-completeness of the finite satisfiability problem for two-variable logic with counting quantifiers and data-trees. The logic allows access to trees by the mother-daughter relation; data-value comparison is modelled by an equivalence relation. Apart from these relations, the logic allows for arbitrarily many other binary and unary relations, and thus properly extends two logics considered earlier: two-variable logic with counting and trees (without equivalence) and two-variable logic with counting and equivalence (without trees). Our decision procedure is based on a novel reduction to the latter of these.
Fast Parallelized Flow Simulations on Graphic Processing Units

To design a comfortable and safe indoor environment, it is crucial to know the distributions of air velocity, air temperature and contaminant concentrations in the indoor space. The distributions can be obtained by computer simulations, such as Computational Fluid Dynamics (CFD). However, the CFD requires intensive computing efforts to solve the Navier-Stokes equations, energy equation and species concentration equations. If the computing domain is as large as a building, the computing time on a single Central Processor Unit (CPU) will become too long for most design applications. Parallelized computing on multiprocessor-computers can reduce the computing time, but the costs of such computers and their maintenance is prohibitively high for many users. Hence, it is essential to seek an alternative to speed up the CFD calculations and to reduce the computing costs. This investigation performed flow simulations in parallel on a graphics process unit (GPU). A GPU consists of hundreds of processors, which offers a great power for parallel computing. The price of a GPU is less than $1,000 and it has almost no maintenance cost. A Fast Fluid Dynamics (FFD) model was implemented on the GPU. The FFD solves the Navier-Stokes equations as the CFD does. By scarifying some accuracy, the FFD can be about 50 times faster than the CFD with the same numerical settings. Our results show that the FFD simulations on the GPU can provide the same results as those on the CPU, but the GPU version is up to 30 times faster than the CPU version. As a result, it is possible to perform real-time simulations of airflow in a moderate size building by using the FFD on the GPU. Meanwhile, this study indicates that the GPU can be also used to accelerate other scientific computing, such as CFD simulations.
The Effect of Firm Growth on Brand Value: Evidence from Brand Finance Turkey-100

A variety of groups are increasingly using brand value for different purposes; thus, a range of consultancy firms calculate, by different methods, and publish brand values annually. The effect of many variables on brand value has been examined previously, but few studies have explored the relationship between brand value and firm growth. This study aims to bridge this gap in the literature, since this relationship is important to maximizing brand value. The research was based on the companies listed in Brand Finance Turkey-100 between 2012 and 2018. Sales, operating income, RD and there was no significant relationship between increased sales and brand value.
Diffusion of Hong Kong Office Property Prices Across Quality Classes : Ripple Down or Ripple Up ?

This study explores whether and how office property prices diffuse across quality classes in Hong Kong. The empirical results reveal that the trends in office property prices are stochastic and demonstrate significant price lead-lag relationships among office property classes. The lead-lag patterns are apparent in both the long run and the short run. In addition, shocks from Class C prices have the strongest and longest-lasting impact on office prices in Hong Kong. In addition to providing new evidence on the ripple effect of commercial property prices across quality classes, this is the first study to explore the ripple effect of commercial property prices in both the short run and the long run. This study is also the first to employ the Vogelsang test (1998) and impulse response analysis to investigate the diffusion of commercial property prices. The findings have implications for government authorities, investors, and financial institutions in terms of policy formation, the timing of office property investments, and the diversification of their office-property-related portfolios.
Microcredit and Social Business Movement as Catalyst for Poverty Eradication: The Grameen Experience

Being a country of developing world, Bangladesh has a long-standing history of fighting poverty by means of microcredit. Thanks to the development of group lending approach of Grameen Bank established by Nobel laureate Professor Mohammad Yunus, which has later been widely accepted as an alternative to the traditional collateral based lending in extending credit facilities to the door of hard core poor at affordable terms, Bangladesh has been able to register tremendous success in alleviating poverty. Apart from Bangladesh, Grameen type microcredit programmes are now being replicated in more than 100 countries both in the developing and developed world. At the same time, Grameen has constantly been devising new entrepreneurial solutions to the problems of the poor in the name of social business- a social cause driven, non-loss, non-dividend, self-reliant business dedicated to serve the most pressing needs of the disadvantaged. Muhammad Yunus has been successful to create a global infrastructure for social business which is working as a catalyst for encouraging social business experimentations around the world. The paper will critically examine the Grameen solidarity lending mechanism and social business framework and their efficiency in approaching poverty with their cross border experiences.
Numerical and experimental study of the aerodynamic and aeroelastic performance of a low pressure turbine

This work presents the results of an experimental and numerical investigation conducted in the framework of a project focused on the influence of inlet distortions on the aeroelastic and aerodynamic performance of a low pressure turbine. The measurements were carried out in the subsonic test turbine facility at the Institute of Thermal Turbomachinery and Machine Dynamics at Graz University of Technology. Flow measurements were performed by means of five-hole-probe. In addition, a telemetry system in combination with strain gauges was applied to acquire the rotor blades vibration data. The numerical investigation was carried out at Bionic Surface Technologies Gmbh employing the commercial tool ANSYS CFX. Reynolds-Averaged Navier-Stokes (RANS) equations were used for solving the flow-field. For the flutter analysis, the modal shapes of the rotor blades were calculated by pre-stressed modal analysis in ANSYS Mechanical and the aeroelastic solution was computed for different Inter Blade Phase Angles (IBPA).
Supporting informed , idiosyncratic privacy preferences through personalised exposure profiles

Paste the appropriate copyright statement here. ACM now supports three different copyright statements: • ACM copyright: ACM holds the copyright on the work. This is the historical approach. • License: The author(s) retain copyright, but ACM receives an exclusive publication license. • Open Access: The author(s) wish to pay for the work to be open access. The additional fee must be paid to ACM. This text field is large enough to hold the appropriate release statement assuming it is single spaced. Every submission will be assigned their own unique DOI string to be included here. Abstract Are there ‘good’ privacy decisions that can be considered universally appropriate for end-users? In this paper, we draw together findings from previous work on privacy attitudes regarding tracking of end-users by third parties via smartphone applications. In particular, we highlight a range of highly idiosyncratic privacy preferences which are elicited only after people have had the chance to explore and reflect upon detailed, complex and personalised information about their data flows.
QUALITY OF MECHANICALLY SEPARATED MEAT ( MSM ) AND SURIMI OBTAINED FROM LOW COMMERCIAL VALUE FISH

This study aimed to analyze the quality of and differences between mechanically separated meat (MSM) and surimi obtained from red porgy (Pagrus pagrus) and Brazilian flathead (Percophis brasiliensis) fish caught in the “mixed” trawl category at Niterói, Rio de Janeiro, Brazil. The surimi was produced from the MSM of both fish species subjected to washing. The chemical characterization of the products was carried out by chemical composition analyses (moisture, protein, lipids and ash content). Microbiological analyses, namely coagulase positive staphylococci, coliforms at 35 ° C, thermotolerant coliforms and Salmonella sp. counts, were performed. Surimi produced from red porgy and Brazilian flathead presented lower protein (7.84% and 7.34%) and lipid (0.73% and 0.74%) content and higher moisture content (91.71% and 90.15%), respectively, compared to MSM (P <0.05). The microbiological analyses indicated that the products were within the sanitary standards required by Brazilian legislation. In sum, the low added value fish from the “mix” category resulted in viable products (MSM and surimi) for use in fish technology. The MSM product exhibited higher nutritional richness than surimi, but with a higher bacterial load.
Literature Review on Transitions across Early Childhood and Compulsory School Settings in Europe.

The aim of this literature review, conducted as part of the START project, is to deepen the understanding of transitions across ECEC settings – and between these and CSE settings – by critically analysing the findings of empirical studies carried out in EU Member States over the last decade. In conducting this review, a systematic approach has been adopted in order to provide a comprehensive overview of existing research: both English language studies and studies written in the languages spoken in the countries participating to the project (Italian, Dutch and Slovenian) were included. Compared to literature reviews previously published on this topic (Dockett & Perry, 2013; Peters, 2010), the added value of the literature review conducted within the START project is the specific focus on EU-based research and the inclusion of studies published within edited books and monographies. Up to date, existing reviews on transition practices and approaches have included mostly findings derived from the analysis of publications retrieved through international research databases or indexed journals. This might imply that the findings derived from studies published within monographs, edited books and national scientific journals – which are the most typical forms of research dissemination in the EU landscape – tend to be overlooked and left at the margin of mainstream international debates. By shedding light on the findings derived from such publication sources, this literature review offers valuable insights in terms of investigating the multiple understandings and approaches underlying transition practices across a variety of policy contexts, educational systems and pedagogical traditions typical of EU Member States.
Using Intersection over Union loss to improve Binary Image Segmentation

In semantic segmentation tasks the Jaccard Index, or Intersection over Union (IoU), is often used as a measure of success. While this measure is more representative than per-pixel accuracy, state-of-the-art neural networks are still trained on accuracy by using Binary Cross Entropy Loss. In this research, an alternative is used where a neural network will be trained for a segmentation task on face detection by optimizing directly on an approximation of IoU. When using this approximation, IoU becomes differentiable and can be used as a loss function. The comparison between IoU loss and Binary Cross Entropy loss will be made by testing multiple models on multiple datasets and data splits. After testing it is found that training directly on IoU significantly increases performance for some models compared to training using the conventional Binary Cross Entropy loss.
Influence of Board Demographics on Performance of Commercial State Enterprises

This study sought to assess the influence of board demographics on the performance of commercial state owned enterprises in Kenya. The population of the study was 33 commercial state owned enterprises that had participated in performance contracting over the five year period 2010 to 2015 in Kenya. A sample of 24 commercial state owned corporation was selected. The main instrument of primary data collection was self-administered semi-structured questionnaire, administered on a stratified sample comprising senior managers. Secondary data was collected from the Commercial State Corporations Advisory Committee Secretariat as well as from company secretaries of selected corporations. Descriptive statistics of frequency, percentage were calculated. Regression analysis established that education level had statistically significant influence on performance of commercial state owned enterprises in Kenya. However, age, tenure and public service background did not statistically significantly influence performance of commercial state owned enterprises. The study recommends further studies on how education level affects the board decision making and influence on commercial state owned enterprises.
An Analysis of Entrepreneurial Mind-Set in Nigeria: A Case Study of Postgraduate Students in Gombe State University, Nigeria

Entrepreneurial mind-set is an important factor towards entrepreneurship. This study examined the effect of perceived feasibility, perceived desirability and self-efficacy on entrepreneurial mind-set of postgraduate students in Gombe State University. The study was underpinned on the growth theory of intelligence; data was collected from primary source through a structured 5-likert scale questionnaire. A sample size of 254 was drawn from a population of 711 postgraduate students of the university with the aid of the Yamane formula. Structural Equation Model (SEM) was used to analyses the data. Findings reveal a negative effect of perceived feasibility on entrepreneurial mindset while perceived desirability and self-efficacy both showed positive effects on entrepreneurial mind-sets of the students. The study concluded that entrepreneurial mind-set is essential to entrepreneurship but recommended a deliberate policy intervention by government to make financing options available and accessible to entrepreneurial start-ups to enable students perceive entrepreneurship as a feasible career option.
Treatment of idiopathic membranous nephropathy in adults: KDIGO 2012, cyclophosphamide and cyclosporine A are out, rituximab is the new normal

Abstract The 2012 Kidney Disease: Improving Global Outcomes (KDIGO) clinical practice guidelines for glomerulonephritis shed light on the complex world of glomerulonephritis therapy. However, they may no longer apply to idiopathic membranous nephropathy, as recently concluded by the KDIGO 2019 Working Group. This is due to the discovery of autoantibodies such as anti-phospholipase A2 receptor (anti-PLA2R) that allow disease monitoring as well as to results from recent clinical trials, comparative cohort studies and meta-analyses. Perhaps the most disruptive of them is the Membranous Nephropathy Trial of Rituximab (MENTOR) trial comparing rituximab with cyclosporine A, which supports the superiority of rituximab in efficacy and safety. Furthermore, rituximab results compared favourably with the short-term results of classical clinical trials that supported the KDIGO 2012 recommendation of immunosuppressive cyclophosphamide-based regimens as first choice for active treatment of idiopathic membranous nephropathy. Thus, the KDIGO recommendations for cyclophosphamide-based regimens or calcineurin inhibitors as the first line of active treatment regimens for idiopathic membranous nephropathy with nephrotic syndrome may no longer apply. By contrast, rituximab-based regimens or other B-cell-targeted therapies appear to represent the present and future of membranous nephropathy therapy.
The European Renal Association – European Dialysis and Transplant Association (ERA-EDTA) Registry Annual Report 2016: a summary

Abstract Background This article summarizes the ERA-EDTA Registry’s 2016 Annual Report, by describing the epidemiology of renal replacement therapy (RRT) for end-stage renal disease (ESRD) in 2016 within 36 countries. Methods In 2017 and 2018, the ERA-EDTA Registry received data on patients undergoing RRT for ESRD in 2016 from 52 national or regional renal registries. In all, 32 registries provided individual patient data and 20 provided aggregated data. The incidence and prevalence of RRT and the survival probabilities of these patients were determined. Results In 2016, the incidence of RRT for ESRD was 121 per million population (pmp), ranging from 29 pmp in Ukraine to 251 pmp in Greece. Almost two-thirds of patients were men, over half were aged ≥65 years and almost a quarter had diabetes mellitus as their primary renal diagnosis. Treatment modality at the start of RRT was haemodialysis for 84% of patients. On 31 December 2016, the prevalence of RRT was 823 pmp, ranging from 188 pmp in Ukraine to 1906 pmp in Portugal. In 2016, the transplant rate was 32 pmp, varying from 3 pmp in Ukraine to 94 pmp in the Spanish region of Catalonia. For patients commencing RRT during 2007–11, the 5-year unadjusted patient survival probability on all RRT modalities combined was 50.5%. For 2016, the incidence and prevalence of RRT were higher among men (187 and 1381 pmp) than women (101 and 827 pmp), and men had a higher rate of kidney transplantation (59 pmp) compared with women (33 pmp). For patients starting dialysis and for patients receiving a kidney transplant during 2007–11, the adjusted patient survival probabilities appeared to be higher for women than for men.