Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural Change in the Transition Economies, 1989 to 1999

This report gives an overview of patterns of structural change in Central and Eastern European economies over the decade 1989-1999. The analysis in this paper is restricted to a sub-sample of transition economies, namely the countries of Central and Eastern Europe (CEECs) - with the exception of the Baltic countries - which are currently also candidate countries for EU accession. While it would be interesting to extend the analysis to a wider range of transition economies, we were restricted by the use of a disaggregated database which allows reliable cross-country comparative analysis of patterns of structural change. * Furthermore, we only deal with a subset of issues which come under the heading of 'structural change' the focus of the analysis is on changes in the structures of production, employment and in the positions of CEECs in the European division of labour, i.e. on the CEECs' international specialization. The structure of the paper is as follows section 1 presents the broad patterns of sectoral change, i.e. the processes of deagrarization, deindustrialization and tertiarization which have taken place since the beginning of transition. Section 2 reviews some of the evidence on industrial restructuring and shows some interesting inter-country and inter-industry differences in this respect. Section 3 refers to the role which FDI plays in industrial restructuring and in the processes of industrial specialization of CEE economies. Section 4 reviews the developments of inter-industry and intra-industry specialization of CEECs in international trade with the EU. Section 5 refers to the evolving position of different CEECs in the European-wide division of labour and whether we can detect patterns of convergence in structure with different groups of EU economies. Section 6 reports the results of an econometric analysis of patterns of industry-level catching-up; the first part (6a) of this section deals with catching-up in productivity levels and wage rates, the second part (6b) with catching-up in product quality (measured by export unit values at a very detailed product level). Section 7 concludes with some remarks on the impact that EU accession might have on patterns of structural transformation and further East-West European integration.
Transcriptome characterization of the dimorphic and pathogenic fungus Paracoccidioides brasiliensis by EST analysis

Paracoccidioides brasiliensis is a pathogenic fungus that undergoes a temperature‐dependent cell morphology change from mycelium (22° C) to yeast (36° C). It is assumed that this morphological transition correlates with the infection of the human host. Our goal was to identify genes expressed in the mycelium (M) and yeast (Y) forms by EST sequencing in order to generate a partial map of the fungus transcriptome. Individual EST sequences were clustered by the CAP3 program and annotated using Blastx similarity analysis and InterPro Scan. Three different databases, GenBank nr, COG (clusters of orthologous groups) and GO (gene ontology) were used for annotation. A total of 3938 (Y = 1654 and M = 2274) ESTs were sequenced and clustered into 597 contigs and 1563 singlets, making up a total of 2160 genes, which possibly represent one‐quarter of the complete gene repertoire in P. brasiliensis. From this total, 1040 were successfully annotated and 894 could be classified in 18 functional COG categories as follows: cellular metabolism (44%); information storage and processing (25%); cellular processes—cell division, posttranslational modifications, among others (19%); and genes of unknown functions (12%). Computer analysis enabled us to identify some genes potentially involved in the dimorphic transition and drug resistance. Furthermore, computer subtraction analysis revealed several genes possibly expressed in stage‐specific forms of P. brasiliensis. Further analysis of these genes may provide new insights into the pathology and differentiation of P. brasiliensis. All EST sequences have been deposited in GenBank under Accession Nos CA580326–CA584263. Copyright © 2003 John Wiley & Sons, Ltd.
Rotated multi-D constellations in Rayleigh fading: Mutual information improvement and a pragmatic approach for near-capacity performance in high-rate regions

This paper studies the mutual information improvement attained by rotated multidimensional (multi-D) constellations via a unitary precoder G ε CN×Nin Rayleigh fading. At first, based on the symmetric cut-off rate of the N-D signal space, we develop a design criterion with regard to the precoder G. It is then demonstrated that the use of rotated constellations in only a reasonably low dimensional signal space can significantly increase the mutual information in high-rate regimes. By considering the QPSK system, we then propose a class of good unitary rotation G in 4-D signal space using parameterization approach, which are shown to provide remarkable improvement. To further illustrate the potential of multi-D constellation and to show the practical use of mutual information improvement, we propose a simple yet powerful coded modulation scheme in which a (multi-D) mapping technique employed in a multi-D rotated constellation is concatenated with a short-memory high-rate convolutional code (CC). By using extrinsic information transfer (EXIT) charts, it is demonstrated that the proposed technique provides an exceptionally good error performance. For example, by using the derived 4×4 rotation, together with QPSK constellation, and a simple rate-3/4 outer convolutional code, it is shown that the proposed system can operate 1.39 dB lower than the traditional coded modulation capacity at the bit error rate (BER) level around 10–6.
Liouville Theory and Special Coadjoint Virasoro Orbits

We describe the Hamiltonian reduction of the coadjoint Kac–Moody orbits to the Virasoro coadjoint orbits explicitly in terms of the Lagrangian approach for the Wess–Zumino–Novikov–Witten theory. While a relation of the coadjoint Virasoro orbit Diff S1/SL(2, R) to the Liouville theory has already been studied, we analyze the role of special coadjoint Virasoro orbits Diff $S^1 /\tilde T_{\pm, n}$corresponding to stabilizers generated by the vector fields with double zeros. The orbits with stabilizers with single zeros do not appear in the model. We find an interpretation of zeros xi of the vector field of stabilizer $\tilde T_{\pm, n}$ and additional parameters qi, i = 1, …, n, in terms of quantum mechanics for n-point particles on the circle. We argue that the special orbits are generated by insertions of "wrong sign" Liouville exponential into the path integral. The additional parmeters qi are naturally interpreted as accessory parameters for the uniformization map. Summing up the contributions of the spe.
Leadership* And Entrepreneurship During The Crisis Period

We assist today to interesting and challenging times for everyone, regardless of his hierarchical position or his field of activity. The globalization process that have brought a lot of positive effects at international, national and regional level, proved to be one of the most important carrier for an unexpected and unwished economic phenomenon: the economic crisis. It’s important to understand that for SME’s sector the leadership is a crucial variable that has to be carefully managed under these circumstances. Leadership is a hot subject, from the boardroom to the shop floor, throughout the organization, influencing to a large extent the performances and evolution of any company.
Spectral Models of the Type Ic Supernova SN 1994I in M51

We present detailed non-LTE (NLTE) synthetic spectra for comparison with a time series of observed optical spectra of the Type Ic supernova SN 1994I which occurred in M51. With the exceptions of Si I and S I, we treat the important species in the formation of the spectrum in full NLTE. We present results for both a hydrodynamic model that has been fitted to the light curve and for an illustrative custom-crafted model that is more massive. Both models give reasonable fits to the overall observed spectra; however, neither is able to reproduce all the observed features. Some conspicuous observed features are absent, and some predicted features are unobserved. No model that we have explored is able to reproduce satisfactorily the observed infrared feature near 1 μm on 1994 April 15 (+7 days), which has been attributed to the triplet He I λ10830 transition. The low-mass hydrodynamic model produces an infrared feature with a blend of He I, C I, O I, and Si I-Si II lines, but it predicts a strong unobserved absorption feature near 6100 Å due to Fe III, and the observed feature just blueward of 6000 Å most likely due to Na D is not reproduced. The more massive model does a better job of reproducing the observed infrared line shape, but also predicts the unobserved feature near 6100 Å. The early-time spectrum of the low-mass model is far too blue; thus, a more massive model may be slightly favored. Since the predicted infrared feature is produced by a blend of so many elements, and there is no overwhelming evidence for other helium features such as λ5876, it may be premature to conclude that SNe Ic unambiguously contain helium. Thus, we conclude that pure C + O cores are still viable progenitors for SNe Ic.
Three-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: design of an antenna-array element

We are investigating a new ultrawide-band (UWB) microwave radar technology to detect and image early-stage malignant breast tumors that are often invisible to X rays. We present the methodology and initial results of three-dimensional (3-D) finite-difference time-domain (FDTD) simulations. The discussion concentrates on the design of a single resistively loaded bowtie antenna element of a proposed confocal sensor array. We present the reflection, radiation, and scattering properties of the electromagnetic pulse radiated by the antenna element within a homogeneous, layered half-space model of the human breast and the polarization and frequency-response characteristics of generic tumor shapes. We conclude that the dynamic range of a sensor array comprised of such elements in conjunction with existing microwave equipment is adequate to detect small cancerous tumors usually missed by X-ray mammography.
ProADD: A database on Protein Aggregation Diseases

ProADD, a database for protein aggregation diseases, is developed to organize the data under a single platform to facilitate easy access for researchers. Diseases caused due to protein aggregation and the proteins involved in each of these diseases are integrated. The database helps in classification of proteins involved in the protein aggregation diseases based on sequence and structural analysis. Analysis of proteins can be done to mine patterns prevailing among the aggregating proteins. Availability http://bicmku.in/ProADD
HSV-1 Genome Subnuclear Positioning and Associations with Host-Cell PML-NBs and Centromeres Regulate LAT Locus Transcription during Latency in Neurons

Major human pathologies are caused by nuclear replicative viruses establishing life-long latent infection in their host. During latency the genomes of these viruses are intimately interacting with the cell nucleus environment. A hallmark of herpes simplex virus type 1 (HSV-1) latency establishment is the shutdown of lytic genes expression and the concomitant induction of the latency associated (LAT) transcripts. Although the setting up and the maintenance of the latent genetic program is most likely dependent on a subtle interplay between viral and nuclear factors, this remains uninvestigated. Combining the use of in situ fluorescent-based approaches and high-resolution microscopic analysis, we show that HSV-1 genomes adopt specific nuclear patterns in sensory neurons of latently infected mice (28 days post-inoculation, d.p.i.). Latent HSV-1 genomes display two major patterns, called “Single” and “Multiple”, which associate with centromeres, and with promyelocytic leukemia nuclear bodies (PML-NBs) as viral DNA-containing PML-NBs (DCP-NBs). 3D-image reconstruction of DCP-NBs shows that PML forms a shell around viral genomes and associated Daxx and ATRX, two PML partners within PML-NBs. During latency establishment (6 d.p.i.), infected mouse TGs display, at the level of the whole TG and in individual cells, a substantial increase of PML amount consistent with the interferon-mediated antiviral role of PML. “Single” and “Multiple” patterns are reminiscent of low and high-viral genome copy-containing neurons. We show that LAT expression is significantly favored within the “Multiple” pattern, which underlines a heterogeneity of LAT expression dependent on the viral genome copy number, pattern acquisition, and association with nuclear domains. Infection of PML-knockout mice demonstrates that PML/PML-NBs are involved in virus nuclear pattern acquisition, and negatively regulate the expression of the LAT. This study demonstrates that nuclear domains including PML-NBs and centromeres are functionally involved in the control of HSV-1 latency, and represent a key level of host/virus interaction.
Comments On "Multipath Matching Pursuit" by Kwon, Wang and Shim

Straightforward combination of tree search with matching pursuits, which was suggested in 2001 by Cotter and Rao, and then later developed by some other authors, has been revisited recently as multipath matching pursuit (MMP). In this comment, we would like to point out some major issues regarding this publication. First, the idea behind MMP is not novel, and the related literature has not been properly referenced. MMP has not been compared to closely related algorithms such as A* orthogonal matching pursuit (A*OMP). The theoretical analyses do ignore the pruning strategies applied by the authors in practice. All these issues have the potential to mislead the reader and lead to misinterpretation of the results. With this short paper, we intend to clarify the relation of MMP to existing literature in the area and compare its performance with A*OMP.
A Survey of Extract-Transform-Load Technology

The software processes that facilitate the original loading and the periodic refreshment of the data warehouse contents are commonly known as Extraction-Transformation-Loading (ETL) processes. The intention of this survey is to present the research work in the field of ETL technology in a structured way. To this end, we organize the coverage of the field as follows: (a) first, we cover the conceptual and logical modeling of ETL processes, along with some design methods, (b) we visit each stage of the E-T-L triplet, and examine problems that fall within each of these stages, (c) we discuss problems that pertain to the entirety of an ETL process, and, (d) we review some research prototypes of academic origin. [Article copies are available for purchase from InfoSci-on-Demand.com]
The Circle Criterion and Input-to-State Stability

This article provides an overview of the circle criterion and its connection with ISS. Classical absolute stability theory and the circle criterion in particular, is concerned with the analysis of a feedback interconnection of Lure type, which consists of a linear system in the forward path and a sector-bounded nonlinearity in the negative feedback path. Classical absolute stability results are revis ited in the context of systems described by differential inclusions and within a framework based on the complex Aizerman conjecture. Contrast with the classical literature that is focused mainly on asymptotic stability of the feedback interconnection, ISS issues are addressed and resolved.
Can methicillin-resistant Staphylococcus aureus prevalence from dairy cows in India act as potential risk for community-associated infections?: A review

Methicillin-resistant Staphylococcus aureus (MRSA) is classified as hospital associated (HA), community associated (CA), livestock associated (LA) and is a global concern. Developing countries, like India, are densely populated country challenging for public hygiene practices. HA-MRSA is comfortably recorded in India, and CA-MRSA is also reported as increasing one. CA-MRSA is serious disease which affects the community as endemic. MRSA is one among major mastitis-causing organisms in India as LA-MRSA. There were reports for transmission of MRSA as community between milk handlers and cow in global perspective. In India reports of MRSA in short among milk handlers and also transmission between animal and human. Hence, proper monitoring of MRSA transmission in India should be elucidated in account among milk handlers and dairy cows to avoid emerging CA-MRSA as outbreak.
A Distributed Spatial Data Sharing and Management System for Forest Farms

Spatial data has been extensively used in forest resource management and decision making in China. But research on spatial data sharing and interoperability in forest farm level is unavailable. This paper proposed an approach to address problems of distributed spatial data management, sharing, integration and interoperability for forest farms using OGC Web Feature Services (WFS), Web Map Service (WMS) and Geography Markup Language (GML). The System composed of a service aggregation and management component and service node component. Service aggregation and management component provides service management and chaining functionalities. Service node provides WMS, WFS, GML conversion service, and management mechanism for local spatial data. Service nodes can be deployed in different forest farms.
A Linguistic Approach to Model Urban Growth

This paper presents a linguistic approach for modeling urban growth. The authors developed a methodological framework which utilizes Fuzzy Set theory to capture and describe the effect of urban features on urban growth and applies Cellular Automata techniques to simulate urban growth. Although several approaches exist that combine Fuzzy Logic and Cellular Automata for urban growth modeling, the authors focused on the ability to use partial knowledge and combine theory-driven and data driven knowledge. To achieve this, a parallel connection between the input variables is introduced which further allows the model to disengage from severe data limitations. In this approach, a number of parallel fuzzy systems are used, each one of which focuses on different types of urban growth factors, different drivers or restrictions of development. The effects of all factors under consideration are merged into a single internal thematic layer that maps the suitability for urbanization for each area, providing thus an information flow familiar to the human conceptualization of the phenomenon. Following, cellular automata techniques are used to simulate urban growth. The proposed methodology is applied in the Mesogeia area in the Attica basin (Athens) for the period 1990-2004 and provides realistic estimations for urban growth.
Public Sector Accounting Reform at Local Government Level in Indonesia

This paper describes and analyses the challenges encountered in attempting to reform public sector accounting in Indonesia, the main objective of which is to combat corruption and thus help improve governance. Our observations suggest that this reform has been seriously hindered by a lack of staff with adequate accounting skills — a problem exacerbated by the decision to continue to prepare old‐style cash‐based reports alongside the new accrual‐based reports. Our key contribution is to demonstrate the danger of rushing to copy public sector financial management techniques from quite different country contexts, especially when there are significant differences of opinion as to the appropriate design of these reforms among the influential policy‐making agencies.
Curation accuracy of model organism databases

Manual extraction of information from the biomedical literature—or biocuration—is the central methodology used to construct many biological databases. For example, the UniProt protein database, the EcoCyc Escherichia coli database and the Candida Genome Database (CGD) are all based on biocuration. Biological databases are used extensively by life science researchers, as online encyclopedias, as aids in the interpretation of new experimental data and as golden standards for the development of new bioinformatics algorithms. Although manual curation has been assumed to be highly accurate, we are aware of only one previous study of biocuration accuracy. We assessed the accuracy of EcoCyc and CGD by manually selecting curated assertions within randomly chosen EcoCyc and CGD gene pages and by then validating that the data found in the referenced publications supported those assertions. A database assertion is considered to be in error if that assertion could not be found in the publication cited for that assertion. We identified 10 errors in the 633 facts that we validated across the two databases, for an overall error rate of 1.58%, and individual error rates of 1.82% for CGD and 1.40% for EcoCyc. These data suggest that manual curation of the experimental literature by Ph.D-level scientists is highly accurate. Database URL: http://ecocyc.org/, http://www.candidagenome. org//
Analyzing content-based publish/subscribe systems

Publish/subscribe communication is increasingly often the basis for distributed, event-based, and loosely-coupled applications. With this communication paradigm, application components communicate indirectly by publishing notifications and by subscribing to those notifications of interest. To precisely specify the subscribers' interests, content-based publish/subscribe systems provide expressive filter models that, on the one hand, ease implementing versatile and entangled interaction patterns. On the other hand, however, resulting notification flows evolve dynamically and implicitly making an analysis the more challenging and complex. In this paper, we focus on modeling the interrelationship between the notifications being advertised, produced, and requested by publishers and subscribers, respectively. The presented analytical models, in their general form, support various data and filter models to compute matching and forwarding probabilities, which provide the basis to derive message rates as well as more advanced performance metrics. To demonstrate their applicability, we instantiate the general models with a specific data and filter model based on a non-uniform, multi-dimensional distribution of published and subscribed notifications. Our results show the impact of the distributions' skewness and, thereby, prove the necessity to precisely model the content interrelationships in order to make reliable performance predictions.
A COP for cooperation in a P2P streaming protocol

This paper introduces a Combinatory Optimization Problem (COP) which captures the performance in cooperation of a P2P Streaming Network, considered at the buffer level. A new family of strategies of cooperation is defined, which represents the order of query of pieces in a communication between peers. We define a measure of quality for each strategy, based on the most shocking video streaming parameters, namely the continuity and the start-up latency. Our aim is o find quasi-optimal strategies inside the proposed family, by means of on a model based on an Asymmetric Traveling Salesman Problem (ATSP). Finally, we solve this ATSP using an ACO (Ant Colony Optimization)-based algorithm. The results show substantial improvement with this approach, once compared with the ones obtained by previous defined strategies of cooperation.