Miracle-dz/UniFAR-FTUs huggingface dataset:
Additional Functionalities to SOAP, WSDL and UDDI for a Better Web Services' Administration

The Web services' standards have some limits: UDDI registries provide a simple classification of Web services by sectors and don't use practically the Meta data describing their usage and WSDL doesn't provide any Web services topologies' description. Since these limits can influence Web services research's results' quality, this work aims to remedy these limits in order to propose an approach that permit an optimised classification, a pertinent research and a better administration of Web services. For that, we added some informations to SOAP, WSDL et UDDI in order to ensure the Web services invocations' traceability, to deduce the Meta data relative to Web services' usage, to enrich the Web services' description with intensional data describing Web services' topologies and to generate Web services' cognitive "maps".
English as a medium of instruction: students’ strategies

Although English-medium instruction (EMI) is now widely spread throughout the world, there is surprisingly little research into the challenges students face as they try to learn subject matter by means of a non-native language, or how learners attempt to address these challenges. The study reported in this article employed a qualitative approach, using video-recording, an open-ended questionnaire, and stimulated-recall interviews to investigate the difficulties faced by students working in International Relations and Psychology classes in a Turkish university. The students were also asked to identify the strategies they used in an attempt to cope with these difficulties. The students were indeed able to list a number of difficulties, but numerous strategies were also suggested to deal with the problems they faced. Implications are suggested for student support and teacher training, as well as suggestions for ongoing research.
The research on establishment of database for autonomous-driving in downtown

The waypoint tracking method of many methods is common. The raw-data included information(road shapes, speed bumps, signal lights, stop lines, etc) to need when do autonomous driving in downtown suggest a available method and a effective data-management method. The existing waypoint tracking method is greater reliance on raw-data. That's because of the only latitude and longitude data. This is not flexible in using data, so with INS, the reduction zone of speed and stop live such as speed bumps, intersections, turnings, crosswalks compared to stopping zone like railroad, these data is stored with waypoint data. Data made by this way becomes essential information to speed planning by road shape and activation time of suitable sensor in necessity. Additionally, the waypoints with latitudes and longitudes information include various road information. The real road of in downtown is stored by segment through polynomial fitting. If certain format is stored about all the roads, not only efficient data management, speed planning of road shape and environment perception but also avoidance path planning of multilane road and path planning of in downtown such as lane change based on necessary information can be realized and it can be possible to drive more efficiently.
An Improved Level-Set Re-initialization Method and Application Research

With regard to the critical problem in the re-initialization process of Level Set interface capture method, a formula of smoothing parameter in Level Set re-initialization equation and an implicit re-initialization method are proposed. The effectiveness is verified by numerical experiments, and the improved method is used in computing the propagation of small curvature bending detonation wave problem. Numerical results show that the improved Level Set method is significantly better than the traditional method in computation accuracy.
Enhancing support for the mental wellbeing of parents of children with a disability: Developing a resource based on the perspectives of parents and professionals

ABSTRACT Background: Raising a child with a disability can place significant strain on the mental wellbeing of parents and carers. This study developed a mental wellbeing resource specifically for parents and carers of children and adolescents with a disability. Methods: Interviews with 20 parents and carers and 13 health and disability service professionals were conducted to determine resource content and format. Results: Key information areas for the resource were information about parent/carer wellbeing; understanding the barriers to wellbeing, including lack of support, being unable to ask for help, being isolated from the community, and having insufficient time or income to spend on self; suggestions on how to organise respite; and opportunities for increasing wellbeing. Conclusions: Given parental mental health is key to the quality of life of the child and family, it is recommended that the resource is distributed to parents and professionals, and adapted for different cultural and linguistic backgrounds.
Cryptographic methods for securing the YML framework

YML framework is a well-adapted advanced tool to support designing and executing portable parallel applications over large scale peer to peer and grid middlewares. We believe that it is necessary to consider the crucial security concerns for the improvement and extension of the framework. In this paper, two security mechanisms were introduced for the first time. To ensure the computing resources being utilized properly and legitimately, a lightweight authentication protocol was proposed, enabling the user to log in YML with 2 XOR and 1 HASH operation, meanwhile, a splitting way was adopted to distribute the secret key, making only the application requester can obtain the result. To safeguard the process of data exchanging, an efficient threshold encryption scheme was proposed. By generating a set of matched pieces of key, the data can be transformed into efficiently-recoverable half-ciphertext, which is able to transfer in public channel securely. Furthermore, dynamical addition of peers is supported in the scheme.
Applicability of Xpert MTB/RIF assay for routine diagnosis of tuberculosis: a four-year single-center experience.

BACKGROUND/AIM The aim of this study is to assess the Xpert MTB/RIF assay for diagnosis of the Mycobacterium tuberculosis complex in clinical samples and to compare the results by reference to the diagnostic method, Bactec MGIT 960. MATERIALS AND METHODS A total of 7407 samples were included from patients not primarily suggesting pulmonary or extrapulmonary tuberculosis (TB), collected from patients required to be screened for TB and excluding TB diagnoses since it was a differential diagnosis. Also included were a total of 411 samples from patients primarily suggesting pulmonary or extrapulmonary TB. RESULTS In the first group, 152 of 7407 samples yielded positive results with the Bactec MGIT 960, 131 (1.77%) were found positive with Löwenstein-Jensen medium, and 295 (3.99%) were found positive with Ziehl-Neelsen staining. In the second group, 24 (5.8%), 17 (4.1%), and 28 (6.8%) of 411 samples were found positive. Xpert MTB/RIF [27 (6.6%) of 411 samples] detected 3 additional samples as positive, and these 3 cases were clinically compatible with TB. CONCLUSION The Xpert MTB/RIF assay shows superior performance for the diagnosis of TB. Its usefulness in culture-negative patients and the best method for integrating this diagnostic method into current tuberculosis diagnostic algorithms both need further study.
Caring about virtual perts: an ethical interpretation of Tamagotchi

A prevailing sense of anxiety and ambiguity clouds my thinking when I think of the reality of virtual pets. What I feel towards them has been instrumental in the writing of this article, it has been a sticking point that has forced me to confront whether or not they really matter, and whether I care. Virtual pets are things I would rather did not enter my world, and yet they are here and have affected me and many others.3 This one small toy has opened up a space for a whole new generation of toys that are so called 'responsive' entertainment.
Banking in the Lagos-Wright Monetary Economy

We introduce banks in a monetary economy and analyze the effect of monetary friction on the banking sector. The basic model is a cash-in-advance economy which is a simplified version of Lagos and Wright's (2005) model. We introduce the banks using Diamond and Rajan (2001) in this economy: Bankers can produce goods more efficiently than depositors but cannot pre-commit to the use of human capital on behalf of the latter. Demand deposit contracts work as a commitment device for bankers, while leaving banks susceptible to bank runs. We show that as the inflation rate increases, the size of the banking sector expands, and the probability of bank runs occurring rises.
A Dynamic Digital Environment For The Exploratory Learning of Physics Pedagog

A new physics teacher faces a daunting task. All too frequently he or she is asked to teach physics without the benefit of sufficient background in either the content or pedagogy of physics. Yet, obtaining that background information is not easy for an in-service, under-prepared teacher. The Physics Teaching Web Advisory (Pathway) is addressing this problem by creating a dynamic digital library for physics teaching. This library provides information which can help teachers of all levels of proficiency prepare for their classes including a large corpus of virtual video laboratories and demonstrations that emphasize hands-on and mindson activities as well as conceptual understanding of the physics. Pathway is integrated with a novel system by which users can easily obtain valuable assistance through interactions with live and virtual experts in the field. To make these materials accessible Pathway includes state-of-the-art video retrieval tools. Pathway builds on the Informedia Digital Video Library, which is addressing the problem of information extraction from video and audio content, and Synthetic Interviews of expert physics teachers, with pedagogical advances developed at Kansas State University and with materials contributed by master teachers. The Synthetic Interview is a technology and technique that creates an anthropomorphic interface into video of a person responding to questions and has been successfully used by Carnegie Mellon researchers in numerous other domains. With Synthetic Interviews developed for Pathway, the new-to-physics teachers, pre-service teachers, and experienced teachers will be able to “converse” with knowledgeable experts on their classroom techniques and how those techniques are related to contemporary issues in physics teaching Pathway builds on a unique collaboration between several longstanding research projects in digital video libraries, advanced distance learning technologies, collaboration technologies, and nationally known experts in physics pedagogy and high quality content. The result is a state-of-the-art system in which all users interact, both virtually and directly, with experts in physics teaching to become more effective teachers of physics.
Side information-free PTS-PAPR reduction via pilot assisted estimation of phase factors in an OFDM frame with a preamble

A new partial transmit sequence (PTS) technique for orthogonal frequency division multiplexing (OFDM) signals which does not require side information, is proposed. In the proposed method, the transmitter applies PTS to reduce the peak-to-average power ratio (PAPR) and does not send the side information on the PTS phase factors to the receiver. Based on the OFDM symbol structure having pilot subcarriers, the receiver jointly estimates the channel and PTS phase factors from the pilot subcarriers. The proposed technique inherently causes bit error rate (BER) loss depending on the PTS subgroup size. However, simulation results demonstrate that if the PTS subgroup size is carefully chosen, the proposed method can reduce the PAPR significantly with a negligible BER loss.
Ju n 20 08 P – Values for Classification

Let (X,Y ) be a random variable consisting of an observed feature vecto r X ∈ X and an unobserved class label Y ∈ {1, 2, . , L} with unknown joint distribution. In addition, let D be a training data set consisting of n completely observed independent copies of (X,Y ). Usual classification procedures provide point predictors ( classifiers)Ŷ (X,D) of Y or estimate the conditional distribution of Y given X. In order to quantify the certainty of classifying X we propose to construct for each θ = 1, 2, . , L a p-valueπθ(X,D) for the null hypothesis that Y = θ, treatingY temporarily as a fixed parameter. In other words, the point pr edictorŶ (X,D) is replaced with a prediction region for Y with a certain confidence. We argue that (i) this approach is advantegeous over traditional approaches and (ii) any re asonable classifier can be modified to yield nonparametric p-values. We discuss issues such as opt imality, single use and multiple use validity, as well as computational and graphical aspects.
Extraction of Key Phrases from Biomedical Full Text with Supervised Learning Techniques

Key-phrase extraction plays useful a role in the research area of Information Systems (IS) such as digital libraries. Short metadata like key phrases could be beneficial for searchers to understand the concepts of documents’ concept. This paper evaluates the effectiveness of different supervised learning techniques on biomedical full-text: Naïve Bayes, linear regression, SVMs (reg1/2), all of which could be embedded inside an IS for document search. We use these techniques to extract key phrases from PubMed. We evaluate the performance of these systems using the well-established holdout validation method. The contributions of the paper are comparison among different classifier techniques, and a comparison of performance differences between full-text and abstract. We conducted experiments and found that SVMreg-1 improves the performance of key-phrase extraction from full-text while Naïve Bayes improves from the abstracts. These techniques should be considered for use in information system search functionality. Additional research issues also are identified.
Greenhouse Gas Emissions and the Australian Diet—Comparing Dietary Recommendations with Average Intakes

Nutrition guidelines now consider the environmental impact of food choices as well as maintaining health. In Australia there is insufficient data quantifying the environmental impact of diets, limiting our ability to make evidence-based recommendations. This paper used an environmentally extended input-output model of the economy to estimate greenhouse gas emissions (GHGe) for different food sectors. These data were augmented with food intake estimates from the 1995 Australian National Nutrition Survey. The GHGe of the average Australian diet was 14.5 kg carbon dioxide equivalents (CO2e) per person per day. The recommended dietary patterns in the Australian Dietary Guidelines are nutrient rich and have the lowest GHGe (~25% lower than the average diet). Food groups that made the greatest contribution to diet-related GHGe were red meat (8.0 kg CO2e per person per day) and energy-dense, nutrient poor “non-core” foods (3.9 kg CO2e). Non-core foods accounted for 27% of the diet-related emissions. A reduction in non-core foods and consuming the recommended serves of core foods are strategies which may achieve benefits for population health and the environment. These data will enable comparisons between changes in dietary intake and GHGe over time, and provide a reference point for diets which meet population nutrient requirements and have the lowest GHGe.
Neurological effects of inorganic arsenic exposure: altered cysteine/glutamate transport, NMDA expression and spatial memory impairment

Inorganic arsenic (iAs) is an important natural pollutant. Millions of individuals worldwide drink water with high levels of iAs. Chronic exposure to iAs has been associated with lower IQ and learning disabilities as well as memory impairment. iAs is methylated in tissues such as the brain generating mono and dimethylated species. iAs methylation requires cellular glutathione (GSH), which is the main antioxidant in the central nervous system (CNS). In humans, As species cross the placenta and are found in cord blood. A CD1 mouse model was used to investigate effects of gestational iAs exposure which can lead to oxidative damage, disrupted cysteine/glutamate transport and its putative impact in learning and memory. On postnatal days (PNDs) 1, 15 and 90, the expression of membrane transporters related to GSH synthesis and glutamate transport and toxicity, such as xCT, EAAC1, GLAST and GLT1, as well as LAT1, were analyzed. Also, the expression of the glutamate receptor N-methyl-D-aspartate (NMDAR) subunits NR2A and B as well as the presence of As species in cortex and hippocampus were investigated. On PND 90, an object location task was performed to associate exposure with memory impairment. Gestational exposure to iAs affected the expression of cysteine/glutamate transporters in cortex and hippocampus and induced a negative modulation of NMDAR NR2B subunit in the hippocampus. Behavioral tasks showed significant spatial memory impairment in males while the effect was marginal in females.
Twelve-year experience in identification of skeletal remains from mass graves.

AIM To present twelve-year (1993-2005) experience in identification of human remains found in mass graves in Croatia and Bosnia and Herzegovina (BH), as well as remains that presumably belonged to Croatian citizens given by Serbia and Montenegro. The unique experience of identification of more than a thousand of skeletal samples is valuable for better organization of post-mortem identifications. METHODS Standard forensic methods and methods based on DNA analysis were used for identification of human remains from mass graves. DNA was isolated using standard phenol/chloroform/isoamyl alcohol extraction. In some cases, decalcification and repurification were used prior to the extraction to overcome inhibition of amplification process. Different DNA systems were used for DNA quantitation and amplification (AluQuant, short tandem repeats (STR) commercial systems, Y chromosome STRs, and mitochondrial DNA [mtDNA]). Typing of PCR products was performed on AmpliType PM and AmpliType DQA1 DNA probe strips, ABI PRISM(R) 310 Genetic Analyzer and immobilized sequence-specific oligonucleotide (SSO) probes. RESULTS Up-to-date analysis of 1,155 skeletal samples resulted in 703 positively identified bodies: 577 using standard forensic methods, 109 by DNA typing, and 17 by combination of these two methods. The majority of identifications from 1993 to 1999 was, as usual, achieved by standard forensic methods. Later on, these methods were not sufficient and DNA analysis was requested. It was performed in 42% of all cases in 12 years. The crucial step in DNA analysis is extraction of genomic DNA. Standard phenol/chloroform/isoamyl alcohol extraction, complemented with other methods and modifications, proved as the most successful method for this step. In certain cases, the quality and/or quantity of nDNA was not satisfying and the analysis of the mtDNA was performed. CONCLUSION Our experience demonstrated that the advent of forensic DNA analysis methods greatly increased our ability to positively identify previously unknown skeletal remains by a comparative genetic analysis with presumptive relatives.
I THE TECHNOLOGY OF VIRTUAL REALITY Virtual environment technology

The technology which lies behind Virtual Reality is, in fact, quite straight-forward and easy to understand, the consequences of its usage and the potential this gives people rather less so. This chapter describes the Virtual Reality hardware and software currently available and how these have purportedly been built to be usable by people. Future trends of this technology are also considered as well as the challenges which lie ahead for its developers in making user-friendly technology which aids rather than hinders communication.
Ethnography of Female Diaspora Networks: The Emerging Case of Pakistani Female Entrepreneurs in London

Abstract The business environment of a host country reflects the complex interplay of multiple social, cultural and religious factors with the lives and work of ethnic minority women. The distinct social context of each ethnic or immigrant group determines its position in the host country. Every ethnic minority group has its unique characteristics, social and cultural conventions and resources that facilitate or constrain their entrepreneurial endeavours. As social actors, ethnic minority entrepreneurs draw support and resources from the ‘network of social relations’; hence it is the ‘social network’ that facilitates or constraints the social actors’. It is the formation and utilization of a network of relationships that shapes the entrepreneurial outcomes which are not independent of external factors. Exploration of the outcomes of the interplay of gender, ethnicity and religion shaping the personal network of Pakistani female entrepreneurs forms the focus of this article in which ethnographic inquiry is used to explore the ‘meaning and perception’ attached to social relations by Pakistani female entrepreneurs in a special ethnic and immigrant context. Gender as a ‘social practice’ influenced by religious and cultural values leads Pakistani females to maintain ‘women only networks’ and rely on kinship networks. Transition from ethnic to non-ethnic and expansion of network is the outcome of mistrust on ethnic community members.
IPv6 Calls for a New Type of the Internet Applications and Services Provider (IASP)

The main purpose of this document is to engage investors into aggressive support for IPv6. The paper calls for a new type of the Internet applications and services provider (IASP) that would utilize IPv6, mobility and sensor networks. It shows the new entity advantages in seizing IPv6 opportunity compared to a traditional ISP. It further argues why the business market leads wide IPv6 adoption immediately transferring realized benefits onto consumers. The paper is supported by a business case that includes financial projections and a sample service description with IPv6 addressing schema and bandwidth requirements. To the best of our knowledge utilizing IPv6 addresses for purposes outlined here has been tested neither in a lab nor in a production environment. To mitigate risks inherited into a new modus operandi the business case and the service description both reflect realities of a mature multi million IPv4 Internet access implementation at a traditional Tier 2ISP