Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient approximate SPARQL querying of Web of Linked Data

The web of linked data represents a globally distributed dataspace which can be queried using the SPARQL query language. However, with the growth in size and complexity of the web of linked data, it becomes impractical for the user to know enough about its structure and semantics for the user queries to produce enough answers. This problem is addressed in the paper by making use of ontologies available on the web of linked data to produce approximate results. The existing approach, which generates multiple relaxed queries and executes them sequentially one by one, is improved by integrating the approximation steps with the query execution itself. Thus, by performing query relaxation on-the-fly at runtime, the shared data between relaxed queries are not fetched repeatedly, resulting in significant performance benefits. Further opportunities for optimization during query execution are identified and are used to prune relaxation steps which do not produce results. The implementation of our approach demonstrates its efficacy.
Peripheral vibro-tactile displays

We report from a study exploring the boundaries of the peripheral perception of vibro-tactile stimuli. For three days, we exposed 15 subjects to a continual vibration pattern that was created by a mobile device worn in their trouser pocket. In order to guarantee that the stimuli would not require the subjects' focal attention, the vibration pattern was tested and refined to minimise its obtrusiveness, and during the study, the participants adjusted its intensity to just above their personal detection threshold. At random times, the vibration stopped and participants had to acknowledge these events as soon as they noticed them. Only 6.5% of the events were acknowledged fast enough to assume that the cue had been on the focus of the participants' attention. The majority of events were answered between 1 and 10 minutes, which indicates that the participants were aware of the cue without focussing on it. In addition, participants reported not to be annoyed by the signal in 94.4% of the events. These results provide evidence that vibration patterns can form non-annoying, lightweight information displays, which can be consumed at the periphery of a user's attention.
An unsupervised method for lexical acquisition based on Bootstrapping

In this paper, we present an unsupervised method called Mutual Screening Graph Algorithm based on Bootstrapping (MSGA-Bootstrapping) for lexical acquisition. Bootstrapping is a weakly supervised algorithm that has been the focus of attention in many Natural Language Processing(NLP) and Information Extraction(IE) fields, especially in learning semantic lexicons. Our approach only needs unannotated corpuses to learn new words for each semantic category. MSGA-Bootstrapping hypothesizes the semantic class of a word based on collective information over a large body of extraction pattern contexts and the extraction patterns and words can mutual reinforced. Although there are some former algorithms on this task, their precision and stability can be enhanced. By counting on the impact of both the quality information and quantity information of words and patterns when scoring the words and patterns created by them, we improve the former bootstrapping algorithm. We also make MSGA-Bootstrapping run as an unsupervised method by changing the order of its processing. Experiments have shown that MSGA can outperform previous bootstrapping algorithm Basilisk and GMR (Graph Mutual Reinforcement based Bootstrapping). And the result of using MSGA-Bootstrapping as an unsupervised method is acceptable.
LDO Linear Regulator with Super-source Follower

A low dropout regulator with super-source follower is exhibited and a single-transistor-control low dropout based the flipped voltage follower is discussed in this paper. The buffered flipped voltage follower with super-source follower is proposed to lower its output impedance so that the impedance at the gate of the pass device can be reduced and the pole at the gate is pushed to higher frequency as well as. The proposed low dropout with super-source follower is designed and simulated in TSMC 0.18 μm CMOS technology process. The layout design area is 565μm x 508μm. It can be obtained that when power supply voltage Vdd is 3.3 V, the circuit can provide the output voltage of 1.999 V and the power consumption of 15.94 mW with a variation of 4 mV in a load current range from 2 mA to 100 mA.
ABBA: adaptive bicluster-based approach to impute missing values in binary matrices

Missing values frequently pose problems in binary matrices analysis since they can hinder downstream analysis of the datasets. Despite the presence of many imputation methods that have been developed to substitute missing values with estimated values, these available techniques have some common disadvantages: they need to fix some parameters (e.g., number of patterns, number of rows to consider) to estimate missing values---with little theoretical support to determine these parameters---; and, missing values need to be recomputed from scratch as parameters change. In this paper we propose a novel algorithm (ABBA: Adaptive Bicluster-Based Approach) that does not have the above limitations. Further, a formal framework that justifies the rationales behind ABBA is detailed. Finally, experimental results over both synthetic and real data confirm the viability of our approach and the quality of the results, that overcomes the ones achieved by the main competing algorithm (KNN).
Microservices: Migration of a Mission Critical System

An increasing interest is growing around the idea of microservices and the promise of improving scalability when compared to monolithic systems. Several companies are evaluating pros and cons of a complex migration. In particular, financial institutions are positioned in a difficult situation due to the economic climate and the appearance of agile competitors that can navigate in a more flexible legal framework and started their business since day one with more agile architectures and without being bounded to outdated technological standard. In this paper, we present a real world case study in order to demonstrate how scalability is positively affected by re-implementing a monolithic architecture (MA) into a microservices architecture (MSA). The case study is based on the FX Core system, a mission critical system of Danske Bank, the largest bank in Denmark and one of the leading financial institutions in Northern Europe. The technical problem that has been addressed and solved in this paper is the identification of a repeatable migration process that can be used to convert a real world Monolithic architecture into a Microservices architecture in the specific setting of financial domain, typically characterized by legacy systems and batch-based processing on heterogeneous data sources.
Mixed Reality Architecture: initial experiences

In this paper, we describe our initial experiences with Mixed Reality Architecture (MRA) in use in an everyday office setting. Two offices and one meeting space were dynamically linked across a single virtual space for a period of three weeks. MRA has become useful for maintaining general background awareness of others but also as an easy to engage with tool for remote communication. We describe issues in the design of MRA, its implementation in an everyday office setting and outline early results from its evaluation before briefly describing its future extension.
Aspect-oriented programming with model checking

Aspect-oriented programming (AOP) is a programming paradigm such that crosscutting concerns including synchronization policies, resource sharing and performance optimizations over objects are modularized as aspects that are separated from objects. A compiler, called a weaver, weaves aspects and objects together into a program. In AOP, however, it is not easy to verify the correctness of a woven program because crucial behaviors are strongly influenced by aspect descriptions. In order to deal with such problem, this paper proposes an automatic verification approach using model checking that verifies whether the woven program contains unexpected behaviors such as deadlocks. The objectives of this paper are as follows: 1) to verify the correctness of AOP-based programs using model checking, 2) to provide AOP-based model checking frameworks.
Refinement in Personalize Web Search System with Privacy Protection

There are number of users searching for particular information with same topic. Personalized web search helps to improve the excellence of various searches on the Internet. But during searching the search engine may disclose or use user’s personal information to improve search performance. We propose a fine tuning in Personalize Web Search system by generalizing user profiles. We suggest a technique to generate online profile with user’s permission for query. Every time when user requests for certain information ,our system allows user to select profile information as per his or her requirement and risk of exposition of sensitive attributes such as name ,gender, contact number and many other different attributes. In addition our systems will also help to search accurate information based on user interests. Thus this system maintains stability between use of personalize information and the risk of exposing of personal profile by refining profile. This system is developed by GreedyIL algorithm which improves search quality and makes search computation fast
An Analysis of Likely Scalants in the Treatment of Produced Water From Nova Scotia

A significant barrier to further use of hydraulic fracturing to recover shale oil and/or gas is the treatment and/or disposal of hypersaline produced water. This work is an analysis of produced water from Nova Scotia, with the aim of understanding how scale impacts the choice of desalination system used in its treatment. Four water samples are presented, and for a representative case, the supersaturation of some likely scalants is estimated as a function of temperature, recovery ratio, and pH. This supersaturation map is then compared to conditions representative of common desalination systems, allowing the identification of limitations imposed by the water's composition. In contrast to many natural waters, it is found that sodium chloride is the most likely first solid to form at high recovery ratios, and that the top temperature of thermal desalination systems is unlikely to be scale-limited in the treatment of these waters.
Using Geospatial Technologies to Separate Soil Units and Predict Some of Their Characteristics in Basra Governorate (Indices)

This study was conducted to classify the soils of eastern Basra Governorate, southern Iraq, within the administrative borders of Abu Al-Khasib District extending south to Al-Faw District, using remote sensing techniques and geographic information systems. The soil units were separated by adopting remote sensing technology through the use of satellite image from Landsat8, the TIRS - OLI sensor (The Operational Land Imager), and spectral indices with field observations. A map of the soil units was prepared using the GIS program. Eight locations of soil pedons were identified, and they were divided The study area is divided into two paths, and each path contains four typical pedons within the boundaries of the study area as follows: 1 - First stripe: represents the river levees unit within pedons 1, 3, 5 and 7. 2 - Second stripe: represents the river basin unit within pedons 2, 4, 6 and 8. The results of Indices showed a variation in their values between all the pedons through which spatial variation in surface soil characteristics can be distinguished. The values of NDVI ranged between < 0 – 0.79, < 0 – 1.64 for BSI, and between < 0 – 0.408 for SAVI. The spectral indices NDVI and SAVI gave results that match the ground facts present on the ground, represented by vegetation, while the bare soil index BSI gave reflectivity values similar to barren lands. The lands of the study area were characterized by a lack of vegetation, especially in the low-lying areas of the river plains, while the areas of natural vegetation and the parts close to the river levees were characterized by a medium to high vegetation cover, and these results are consistent with the values of the NDVI and SAVI spectral indices.
Laboratory Investigation of Nanomaterials to Improve the Permeability and Strength of Concrete

Concretes containing various supplementary cementitious materials (SCMs) such as silica fume, fly ash, and slag have improved properties. Nanomaterials (a nanometer, nm, is 10 to the -9 power m), new SCMs with possible applications in concrete, have the smallest particle size that is less than 100 nm. Nanomaterials are very reactive because of the particles’ small size and large surface area and have great potential in improving concrete properties such as compressive strength and permeability. This study evaluated the use of a variety of nanomaterials in concrete compared with conventional concrete and concrete containing common SCMs. The potential benefits of using nanomaterials over other SCMs are their high reactivity; the need for smaller amounts, resulting in less cement replacement; and cost-effectiveness. Concretes containing nanosilica and nanoclay were prepared in the laboratory and compared to concretes containing silica fume, fly ash, slag, or only portland cement. Specimens were tested for compressive strength and permeability. The microstructure of selected concretes with improved compressive strength and permeability were analyzed using an atomic force microscope and nanoindenter to determine the reason for the improvements. The microstructure of the nanosilica concrete was denser and more uniform than that of the conventional concrete microstructure. In addition, the nanosilica had the largest improvement in both compressive strength and permeability among the nanomaterials tested. The results of this study indicate that some of the nanomaterials tested have potential in concrete applications. However, further evaluation is required before nanomaterials can be used in concrete. Specifically, they should be evaluated for improved dispersion to achieve uniformity, optimized amounts of ingredients, and cost-effectiveness.
The Oncogenic RNA-Binding Protein Musashi1 Is Regulated by HuR via mRNA Translation and Stability in Glioblastoma Cells

Musashi1 (Msi1) is an evolutionarily conserved RNA-binding protein (RBP) that has profound implications in cellular processes such as stem cell maintenance, nervous system development, and tumorigenesis. Msi1 is highly expressed in many cancers, including glioblastoma, whereas in normal tissues, its expression is restricted to stem cells. Unfortunately, the factors that modulate Msi1 expression and trigger high levels in tumors are largely unknown. The Msi1 mRNA has a long 3′ untranslated region (UTR) containing several AU- and U-rich sequences. This type of sequence motif is often targeted by HuR, another important RBP known to be highly expressed in tumor tissue such as glioblastoma and to regulate a variety of cancer-related genes. In this report, we show an interaction between HuR and the Msi1 3′-UTR, resulting in a positive regulation of Msi1 expression. We show that HuR increased MSI1 mRNA stability and promoted its translation. We also present evidence that expression of HuR and Msi1 correlate positively in clinical glioblastoma samples. Finally, we show that inhibition of cell proliferation, increased apoptosis, and changes in cell-cycle profile as a result of silencing HuR are partially rescued when Msi1 is ectopically expressed. In summary, our results suggest that HuR is an important regulator of Msi1 in glioblastoma and that this regulation has important biological consequences during gliomagenesis. Mol Cancer Res; 10(1); 143–55. ©2012 AACR.
Undergraduate physiotherapy students’ perspectives on optimising the curriculum for supported self-management education

Supported self-management (SSM) assists development of the skills people living with long-term conditions require to manage their health and live well. Physiotherapy students should learn how to deliver SSM but how to facilitate optimal student learning of SSM is currently not known. This mixed methods study aimed to determine, from a student perspective, how to best teach undergraduate physiotherapists to optimise their learning of the knowledge and skills in delivering SSM. Final year physiotherapy students were invited to participate in a nominal group session (n = 17) and then three rounds of an e-Delphi survey. Round one (n = 33) elicited ideas and themes for subsequent rounds, while rounds two (n = 25) and three (n = 13) measured consensus on ideas for improving the current SSM curriculum. Consensus was reached that learning SSM should be frequent, interesting, explicit, and incorporated into all years of training. Practical opportunities were favoured over theoretical learning via lectures. Learning SSM was seen as an ongoing process, important in providing person-centred care and improving health outcomes. Increasing learning opportunities that provide students with clear knowledge of SSM and a chance to practise using these skills in a real-life setting should be incorporated into entry-level physiotherapy education.
Antibacterial Action and Physicochemical Properties of Stabilized Silver and Gold Nanostructures on the Surface of Disperse Silica

This work is devoted to the synthesis and stabilization of nanosized Ag/SiO2 and Au/SiO2 disperse materials and investigation their morphology, optical and antimicrobial properties. First, Ag and Au nanoparticles (NPs) were produced in colloids via chemical (Ag) or photochemical (Au) reduction of appropriate ions. To prevent the oxidation of Ag NPs in colloid solution, external binary stabilizing agents PVP and SDS were used. Then, Ag and Au NPs (0.01-0.05% wt) were adsorbed from their colloid solutions on high disperse silica surface (Ssp=260m2/g) and samples prepared were dried. Materials obtained were studied by UV-vis, XRD, and TEM methods. Ag and Au NPs adsorbed on silica demonstrated a fair crystallinity in XRD. The surface plasmon resonance (SPR) band positions inherent to Ag and Au NPs on silica surface as well as the intensities of optical spectra were stable during 7 month and more. Obtained Ag NPs in colloids and Ag/SiO2 composites demonstrated excellent antimicrobial activity against a series of the microorganisms (Escherichia coli, Staphylococcus aurous, and Candida albicans). Au/SiO2 samples did not reveal any bactericide properties relative to the test microorganisms grown. The mechanisms of Ag(Au) NPs interaction with silica surface were analyzed.
limma powers differential expression analyses for RNA-sequencing and microarray studies

limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Cholesterol metabolism, apolipoprotein E, adenosine triphosphate-binding cassette transporters, and Alzheimer's disease

Purpose of review Recent evidence suggests that cholesterol metabolism participates in the pathogenesis of Alzheimer's disease. Apolipoprotein E is the main lipid carrier in the brain and the best-established risk factor for late-onset Alzheimer's disease. Intracellular cholesterol levels influence the generation of amyloid-β peptides, the toxic species thought to be a primary cause of Alzheimer's disease. Finally, compounds that modulate cholesterol metabolism affect amyloid-β generation. This review summarizes data linking apolipoprotein E and adenosine triphosphate-binding cassette transporters to aspects of cholesterol metabolism and Alzheimer's disease pathogenesis. Recent findings In vivo, the lipidation status of apolipoprotein E affects amyloid-β burden in mice with Alzheimer's disease, which appears to caused by the modulation of amyloid-β deposition or clearance rather than amyloid-β production. State-of-the-art in-vivo assays reveal that amyloid-β is cleared from the brain by multiple pathways. Members of the adenosine triphosphate-binding cassette superfamily of transporters regulate lipid homeostasis and apolipoprotein metabolism in the brain, and may affect Alzheimer's disease pathogenesis by modulating apolipoprotein E lipidation as well as intracellular sterol homeostasis. Summary Proteins involved in brain cholesterol metabolism may affect the pathogenesis of Alzheimer's disease. Compounds that modulate the expression of these proteins may be of therapeutic benefit in Alzheimer's disease.
Discourse, Health and Well-Being of Military Populations Through the Social Media Lens

Social media can provide a resource for characterizing communities and small populations through activities and content shared online. For instance, studying the language use in social media within military populations may provide insights into their health and well-being. In this paper, we address three research questions: (1) How do military populations use social media? (2) What do military users discuss in social media? And (3) Do military users talk about health and well-being differently than civilians? Military Twitter users were identified through keywords in the profile description of users who posted geo-tagged tweets at military installations. The data was anonymized for the analysis. User tweets that belong to military populations were compared to non-military populations. Our results indicate that military users talk more about events in their military life, whereas non-military users talk more about school, work, and leisure activities. Additionally, we identified significant differences in communication behavior between two populations, including health-related