Miracle-dz/UniFAR-FTUs huggingface dataset:
Future Planning Methodology - Liberative Consultancy with Community Organisations

Community groups of many kinds are typically finding they need to undertake critical reviews of their life at least as rigorously as those by corporations. Such reviews may be undertaken as part of showing accountability to funders, in preparation for making key appointments, or as a platform for various forms of strategic planning. This paper suggests a methodology for working with community groups that seeks to overcome what are claimed to be serious limitations of common approaches used. The approach proposed takes seriously some particularities of working with community groups and is designed to be ‘liberative’ for the organisation in the sense that the organisation is left more empowered to effect its own strategy and direction without undue dependence on the external consultant or on internal hierarchy.
Different Distribution Patterns of the Two Mannose 6-phosphate Receptors in Rat Liver

Two mannose 6-phosphate receptors, cation-dependent and -independent receptors (CDMPR and CIMPR), play an important role in the intracellular transport of lysosomal enzymes. To investigate functional differences between the two in vivo, their distribution was examined in the rat liver using immunohistochemical techniques. Positive signals corresponding to CIMPR were detected intensely in hepatocytes and weakly in sinusoidal Kupffer cells and interstitial cells in Glisson's capsule. In the liver acinus, hepatocytes in the perivenous region showed a more intense immunoreactivity than those in the periportal region. On the other hand, positive staining of CDMPR was detected at a high level in Kupffer cells, epithelial cells of interlobular bile ducts, and fibroblast-like cells, but the corresponding signal was rather weak in hepatocytes. In situ hybridization analysis also revealed a high level of expression of CIMPR mRNAs in hepatocytes and of CDMPR mRNA in Kupffer cells. By double immunostaining, OX6-positive antigen-presenting cells in Glisson's capsule were co-labeled with the CDMPR signal but were only faintly stained with anti-CIMPR. These different distribution patterns of the two MPRs suggest distinct functional properties of each receptor in liver tissue.
Evidence for a primary association of celiac disease to a particular HLA-DQ alpha/beta heterodimer

Typing of DNA from 94 unrelated children with celiac disease (CD) with HLA-DQA1 and -DQB1 allele-specific oligonucleotide probes revealed that all but one (i.e., 98.9%) may share a particular combination of a DQA1 and a DQB1 gene. These genes are arranged in cis position on the DR3DQw2 haplotype and in trans position in DR5DQw7/DR7DQw2 heterozygous individuals. Thus, most CD patients may share the same cis- or trans- encoded HLA-DQ alpha/beta heterodimer.
EvoGUITest - A Graphical User Interface Testing Framework based on Evolutionary Algorithms

Software testing has become an important phase in software applications’ lifecycle. Graphical User Interface (GUI) components can be found in a large number of desktops and web applications and also in a wide variety of systems like mobile phones. In the last years GUIs have become more and more complex and interactive. The GUI testing process requires interaction with the GUI components, mainly by generating mouse and keyboard events. Given their increased importance, GUIs verification for correctness can contribute to the establishment of the correct functionality of the corresponding software application. Most of the current GUI testing methodologies are ad hoc and manual, therefore they are resource consuming. This paper presents EvoGUITest, a novel GUI testing framework based on evolutionary algorithms which tests the GUI independently from the application code itself. EvoGUITest framework is designed for testing GUIs of web applications.
Influence of mobile user velocity on data transfer in a multi-network wireless environment

Heterogeneous wireless environments are now a reality in many urban areas. Designing and deploying a wireless network in such an environment is complicated by the unpredictable propagation paths of radio signals and by the unpredictable behaviour of the network users themselves. Network simulation and modelling can be used to assist in the design process. However, in order for simulation models to be effective they must be realistic. Efforts have been made to render simulation models more realistic through the analysis of real world wireless networks and through the examination and evaluation of existing simulation models. The most fundamental characteristics of a mobile user are their mobility, and the speed at which they move. The various velocities used in simulation models are unrealistic with respect to pedestrian behaviour in urban environments. In addition, the possible influence of mobile user velocity on the amount of data transferred by the user is not considered. In this paper we examine the influence of a mobile userpsilas velocity on throughput in a wireless network using a range of realistic velocities.
PIONIER: a 4-telescope visitor instrument at VLTI

PIONIER stands for Precision Integrated-Optics Near-infrared Imaging ExpeRiment. It combines four 1.8m Auxilliary Telescopes or four 8m Unit Telescopes of the Very Large Telescope Interferometer (ESO, Chile) using an integrated optics combiner. The instrument has been integrated at IPAG starting in December 2009 and commissioned at the Paranal Observatory in October 2010. It provides scientific observations since November 2010. In this paper, we detail the instrumental concept, we describe the standard operational modes and the data reduction strategy. We present the typical performance and discuss how to improve them. This paper is based on laboratory data obtained during the integrations at IPAG, as well as on-sky data gathered during the commissioning at VLTI. We illustrate the imaging capability of PIONIER on the binaries deltaSco and HIP11231. PIONIER provides 6 visibilities and 3 independent closure phases in the H band, either in a broadband mode or with a low spectral dispersion (R=40), using natural light (i.e. unpolarized). The limiting magnitude is Hmag=7 in dispersed mode under median atmospheric conditions (seeing 3ms) with the 1.8m Auxiliary Telescopes. We demonstrate a precision of 0.5deg on the closure phases. The precision on the calibrated visibilities ranges from 3 to 15% depending on the atmospheric conditions. PIONIER has been installed and successfully tested as a visitor instrument for the VLTI. It permits high angular resolution imaging studies at an unprecedented level of sensitivity. The successful combination of the four 8m Unit Telescopes in March 2011 demonstrates that VLTI is ready for 4-telescope operation.
A Methodological Review of the Articles Published in "Georgia Educational Researcher" from 2003-2010.

Methodological reviews, reviews that concentrate on research methods rather than research outcomes, have been used in a variety of fields to improve research practice, inform debate, and identify islands of practice. In this article, we report on the results of a methodological review of all of the articles published in Georgia Educational Researcher from 2003-2010. We examined the methodological characteristics, authorial characteristics, and methodological quality of those articles using quantitative content analysis. The major findings were that the (a) proportions of the type and traditions of articles published in Georgia Educational Researcher were similar to the proportions in education research articles in general, (b) case study research and correlational research were most prominent, (c) a few universities accounted for most of the articles published, (d) male and females were published in equitable proportions, and (e) there were no statistically significant differences in methodological quality between first author’s gender and among affiliations, type of research, or year of publication. We interpret these last two findings to be evidence of a lack of editorial bias. A few minor suggestions for improving the quality of qualitative research articles are given.
Development and Validation of an Enzyme Linked Immunosorbent Assay for Palivizumab Serum Determination

Palivizumab (Synagis®) is a humanized monoclonal antibody (IgG1K) composed of 95% human and 5% murine sequences. It is directed to an epitope in the A antigenic site of the F protein of respiratory syncytial virus (RSV). Palivizumab is used for prevention of serious lower respiratory tract disease caused by RSV in pediatric patients who are at increased risk of severe disease and is administered intramuscularly (IM) for a total of 5 monthly doses. Herein, we report on the development and validation of a very sensitive enzyme-linked immunosorbent assay (ELISA) to measure serum concentrations of palivizumab by a rabbit polyclonal antibody specifically produced against the murine sequence. The method was developed and validated according to the guidelines “Guidance for Industry” (1998) and has proved suitable for the determination of palivizumab serum levels in the target infant population. The ELISA assay was successfully applied to test the serum samples in an infant population who received palivizumab intramuscularly; thus, the assay could be used to determine serum levels in palivizumab-treated infants to optimize dosing and scheduling and to study the relationship between dose and clinical response.
Automatic MRI segmentation of the developing neonatal brain

Detailed morphometric analysis of the neonatal brain is required to characterise normal brain development and investigate the neuroanatomical correlates of cognitive impairments. The segmentation of the brain in Magnetic Resonance Imaging (MRI) is a prerequisite to obtain quantitative measurements of regional brain structures. These measurements obtained at termequivalent or early preterm age may lead to improved understanding of brain growth and may help evaluate long-term neurodevelopmental performance at an early stage. This thesis focuses on the development of an accurate segmentation algorithm for the neonatal brain MR images and its application in large cohorts of subjects. Neonatal brain segmentation is challenging due to the large anatomical variability as a result of the rapid brain development in the neonatal period. The lack of training data in the neonatal period, encoded in brain atlases, further hinders the development of automatic segmentation tools. A novel algorithm for the tissue segmentation of the neonatal brain is proposed. The algorithm is extended for the regional brain segmentation. This is the first segmentation method for the parcellation of the developing neonatal brain into multiple structures. A novel method is further proposed for the group-wise segmentation of the data that utilizes unlabelled data to complement the labelling information of brain atlases. Previous studies in the literature tended to overestimate the extent of the cortical region. A method based on the morphology of the cortex is introduced to correct for this over-segmentation. The segmentation method is applied on an extensive database of neonatal MR images. Regional volumetric, surface and diffusion tensor imaging measurements are derived from the early preterm period to term-equivalent age. These measurements allow characterisation of the regional brain development and the investigation of correlations with clinical factors. Finally, a spatio-temporal structural atlas is constructed for multiple regions of the neonatal brain.
Prosodic modeling for speaker recognition based on sub-band energy temporal trajectories

Recent work has proposed the use of a discrete representation of the dynamics of the fundamental frequency and short-term energy temporal trajectories to characterize speaker and/or language information. Since the short-term energy trajectory is affected by several factors, like speaker, phone, and channel information, we propose the use of the temporal trajectories from frequency bands instead of the short-term energy in the speaker modeling. This approach allows us to use only the relevant information (i.e., speaker and phone) and discard the irrelevant information (i.e., channel). The proposed approach is evaluated on the 2001 and 2003 NIST Extended-data speaker detection tasks. We show that the proposed approach can achieve 12% relative improvement in performance over the approach using the short-term energy trajectory.
Antimicrobial Activity of Novel Dendrimeric Peptides Obtained by Phage Display Selection and Rational Modification

ABSTRACT A large 10-mer phage peptide library was panned against whole Escherichia coli cells, and an antimicrobial peptide (QEKIRVRLSA) was selected. The peptide was synthesized in monomeric and dendrimeric tetrabranched form (multiple antigen peptide [MAP]), which generally allows a dramatic increase of peptide stability to peptidases and proteases. The antibacterial activity of the dendrimeric peptide against E. coli was much higher than that of the monomeric form. Modification of the original sequence, by residue substitution or sequence shortening, produced three different MAPs, M4 (QAKIRVRLSA), M5 (KIRVRLSA), and M6 (QKKIRVRLSA) with enhanced stability to natural degradation and antimicrobial activity against a large panel of gram-negative bacteria. The MICs of the most potent peptide, M6, were as low as 4 to 8 μg/ml against recent clinical isolates of multidrug-resistant Pseudomonas aeruginosa and members of the Enterobacteriaceae. The same dendrimeric peptides showed high stability to blood proteases, low hemolytic activity, and low cytotoxic effects on eukaryotic cells, making them promising candidates for the development of new antibacterial drugs.
Two-dimensional Parity-based Concurrent Error Detection Method for AES Algorithm against Differential Fault Attack and its VLSI Implementation

This paper proposes a two-dimensional parity-based concurrent error detection method for AES algorithm against differential fault attack. Compared with previous parity-based CED methods, this scheme is able to detect errors in both horizontal and vertical direction in data matrix, therefore it has much higher fault coverage of multiple errors while remains 100% coverage of odd-bit errors. Since all of the parity calculation modules can be used for both horizontal and vertical parity computation, hardware cost of this two-dimensional parity-based CED method is 18%(maximal) higher than those of the traditional methods, whereas the critical path and throughput of this approach remain the same as the ones of traditional ways. It is a novel CED method for AES algorithm against differential fault attack, due to its high efficiency and low cost.
Life History Of The Yazoo Darter (Percidae: Etheostoma Raneyi ), A Species Endemic To North-Central Mississippi

The Yazoo darter, Etheostoma mneyi, is restricted to tributaries of the Little Tallahatchie and Yocona Rivers (Yazoo River drainage) in north-central Mississippi. The species inhabits small, clear streams, many of which are spring-fed, and have a variety of substrate types including silt, clay, sand and gravel. In Morris Creek, a second-order stream in Lafayette County, Mississippi, E. runeyi was found in a diversity of microhabitats. Etheostoma raneyi is short-lived, with very few individuals living more than two years. Yazoo darters are sexually dimorphic, with males larger and more brightly colored than females. Both sexes become reproductively mature during the first year of life. The sex ratio of the Morris Creek population is female-biased. Like other members of subgenus Nunostoma, Yazoo darters use the egg-attaching spawning strategy. Batch fecundity of Yazoo darters is 52, and the average diameter of ova in this size class is 1.05 mm. Based on gonadal condition, the spawning season lasts from March to June. Yazoo darters are the most abundant fish in Morris Creek.
WILCOCK AND MCARDELL : SURFACE-BASED FRACTIONAL TRANSPORT RA ES 1299 TABLE 1 . Mean of Hydraulic and Transport Observations for Experimental Runs and Summary of Transport Sampling Frequency

Twenty-eight coupled observations of flow, transport, and bed surface grain size distribution were made in a laboratory flume using a wide range of flows and a sediment with a very poorly sorted, bimodal grain size distribution. These observations permit the transport rates of individual size fractions to be scaled by the proportion of each size immediately available for transport on the bed surface. The key to our observations is the use of a sediment in which each size fraction has been painted a different color, which permits reliable, repeatable, and nondestructive m asurement of he bed surface grain size distribution from photographs of the bed surface. At a given flow, the fractional transport ates may be divided into two parts: a finer-grained portion within which fractional transport rates are a function only of their proportion on the bed surface and total transport rate, and a coarser-grained portion for which fractional transport rates also depend on the proportion of individual grains within a fraction that remain essentially immobile throughout the experimental run. We define the latter condition as one of partial transport and observe that the grain size separating partial and fully mobilized transport consistently increases with flow strength. Complete mobilization ofa size fraction occurs at roughly twice the shear stress necessary for incipient motion of that fraction. Zones of partial and full mobility are quite distinct when fractional transport ates are scaled by the bed surface grain size distribution, although a region of partial transport isevident when these data and other experimental and field observations arescaled by the bulk grain size distribution ofthe sediment bed. Critical shear stresses for the incipient motion of individual fractions in our experimental sediment vary over an order of magnitude, a result strongly in contrast to many earlier observations, but consistent with our observations of incipient motion in sediments with bimodal grain size distributions.
Topic segmentation using Markov models on section level

Topic segmentation, i.e. the combined task of document segmentation and topic identification, is an interesting issue both from a theoretical point of view as well as for practical applications. Previous studies have mainly focussed on applications exposing rather weak correlations regarding the topic order (e.g. broadcast news). In this work, we concentrate on documents following a typical structure regarding the sequence and organization of the individual sections. We propose an algorithm allowing us to explicitly add such structures as additional knowledge sources by modeling the document structure on the level of complete sections. Specifically, we address the issues of explicit section length modeling and modeling of typical section start phrases. On a database of dictated reports, we show significant improvements over state-of-the-art approaches both on manually and automatically transcribed text. Moreover, we show that our approach is significantly more robust against recognition errors than a phrase matching approach exploiting merely the typical section start phrases.
Systematic quality trade-off support in the software product-line configuration process

Software product line engineering is a compelling methodology that accomplishes systematic reuse in families of systems by relying on two key principles: (i) the decomposition of complex systems into composable and reusable building blocks (often logical units called features), and (ii) on-demand construction of products and product variants by composing these building blocks. However, unless the stakeholder responsible for product configuration has detailed knowledge of the technical ins and outs of the software product line (e.g., the architectural impact of a specific feature, or potential feature interactions), he is in many cases flying in the dark. Although many initial approaches and techniques have been proposed that take into account quality considerations and involve trade-off decisions during product configuration, no systematic support exists. In this paper, we present a reference architecture for product configuration tooling, providing support for (i) up-front generation of variants, and (ii) quality analysis of these variants. This allows pro-actively assessing and predicting architectural quality properties for each product variant and in turn, product configuration tools can take into account architectural considerations. In addition, we provide an in-depth discussion of techniques and tactics for dealing with the problem of variant explosion, and as such to maintain practical feasibility of such approaches. We validated and implemented our reference architecture in the context of a real-world industrial application, a product-line for the firmware of an automotive sensor. Our prototype, based on FeatureIDE, is open for extension and readily available.
Refined approach for quantification of in vivo ischemia-reperfusion injury in the mouse heart

Cardiac ischemia-reperfusion experiments in the mouse are important in vivo models of human disease. Infarct size is a particularly important scientific readout as virtually all cardiocirculatory pathways are affected by it. Therefore, such measurements must be exact and valid. The histological analysis, however, remains technically challenging, and the resulting quality is often unsatisfactory. For this report we have scrutinized each step involved in standard double-staining histology. We have tested published approaches and challenged their practicality. As a result, we propose an improved and streamlined protocol, which consistently yields high-quality histology, thereby minimizing experimental noise and group sizes.
Trust Enhanced Cryptographic Role-Based Access Control for Secure Cloud Data Storage

Cloud data storage has provided significant benefits by allowing users to store massive amount of data on demand in a cost-effective manner. To protect the privacy of data stored in the cloud, cryptographic role-based access control (RBAC) schemes have been developed to ensure that the data can only be accessed by those who are allowed by access policies. However, these cryptographic approaches do not address the issues of trust. In this paper, we propose trust models to reason about and to improve the security for stored data in cloud storage systems that use cryptographic RBAC schemes. The trust models provide an approach for the owners and roles to determine the trustworthiness of individual roles and users, respectively, in the RBAC system. The proposed trust models consider role inheritance and hierarchy in the evaluation of trustworthiness of roles. We present a design of a trust-based cloud storage system, which shows how the trust models can be integrated into a system that uses cryptographic RBAC schemes. We have also considered practical application scenarios and illustrated how the trust evaluations can be used to reduce the risks and to enhance the quality of decision making by data owners and roles of cloud storage service.