Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic web rules and ontologies for developing personalised mashups

The current trends for the future evolution of the web are without doubt the Semantic Web and Web 2.0. A common perception for these two visions is that they are competing. Nevertheless, it becomes more and more obvious that these two concepts are complementary. Semantic web technologies have been considered as a bridge for the technological evolution from Web 2.0 to Web 3.0, the web about recommendation and personalisation. Towards this perspective, in this work, we introduce a framework based on a three-tier architecture that illustrates the potential for combining Web 2.0 mashups and Semantic Web technologies. Based on this framework, we present an application for searching books from Amazon and Half eBay with a focus on personalisation. This implementation purely depends on ontology development, writing of rules for the personalisation, and on creation of a mashup with the aid of web APIs. However, there are several open issues that must be addressed before such applications can become commonplace. The aim of this work is to be a step towards supporting the development of applications which combine the two trends so as to conduce to the term Web 3.0, which is used to describe the next generation web.
Grain Physics and Rosseland Mean Opacities

Tables of mean opacities are often used to compute the transfer of radiation in a variety of astrophysical simulations, from stellar evolution models to protoplanetary disks. Often these tables, such as those in a recent paper by Ferguson and coworkers, are computed with a predetermined set of physical assumptions that may or may not be valid for a specific application. This paper explores the effects of several assumptions of grain physics on the Rosseland mean opacity in an oxygen-rich environment. We find that changing the distribution of grain sizes, either the power-law exponent or the shape of the distribution, has a marginal effect on the total mean opacity. We also explore the difference in the mean opacity between solid homogenous grains and grains that are porous or conglomerations of several species. Changing the amount of grain opacity included in the mean by assuming a grain-to-gas ratio significantly affects the mean opacity, but in a predictable way.
Immune-Mediated Therapies for Liver Cancer

In recent years, immunotherapy has gained renewed interest as an alternative therapeutic approach for solid tumors. Its premise is based on harnessing the power of the host immune system to destroy tumor cells. Development of immune-mediated therapies, such as vaccines, adoptive transfer of autologous immune cells, and stimulation of host immunity by targeting tumor-evasive mechanisms have advanced cancer immunotherapy. In addition, studies on innate immunity and mechanisms of immune evasion have enhanced our understanding on the immunology of liver cancer. Preclinical and clinical studies with immune-mediated therapies have shown potential benefits in patients with liver cancer. In this review, we summarize current knowledge and recent developments in tumor immunology by focusing on two main primary liver cancers: hepatocellular carcinoma and cholangiocarcinoma.
Automating Acceptance Tests for GUI Applications in an Extreme Programming Environment

Extreme Programming (XP) is focused on the fast and reliable delivery of high quality business value to the customer. In order to ensure that the expectations of the customer are met, the customer specifies acceptance test criteria. In XP, ideally, all tests should be automated, but it is not always worth automating every test. In particular the creation of automated acceptance tests for interactive graphical applications is far from trivial. I will make suggestions as to what to consider when automating acceptance tests. GUI Capture/Playback Test Tools try to cater for the above mentioned difficulties by providing facilities to exercise a GUI automatically and they include validation checks on the GUI level. In this paper, I will address problems with these tools and show how to avoid them. I will discuss ways of how the test tools can be incorporated into an XP project. Possible alternatives for test automation will also be described.
Studies of reversible capsid shell growth

Results from molecular dynamics simulations of simple, structured particles capable of self-assembling into polyhedral shells are described. The analysis focuses on the growth histories of individual shells in the presence of an explicit solvent and the nature of the events along their growth pathways; the results provide further evidence of the importance of reversibility in the assembly process. The underlying goal of this approach is the modeling of virus capsid growth, a phenomenon at the submicroscopic scale that, despite its importance, is little understood.
Calculation carrying programs - how to code program transformations

Proposes a new mechanism called "calculation-carrying programs" that can relax the tension between efficiency and clarity in programming. The idea is to accompany clear programs with some calculation specifying the intention of how to manipulate the programs to be efficient. This calculation specification can be executed automatically by our compiler to derive efficient programs. As a result, each calculation-carrying program becomes a complete document, including a concise specification of the given problem, as well as an effective way to derive both efficient and correct code.
Computational Modelling of Evolution of Language

This paper describes the uses of computer models in studying the evolution of language. Language is a complex dynamic system that can be studied at two fold one at the level of biological evolution of some innate linguistic ability, and other at the level of cultural evolution of specific languages and language families. The dynamics of language evolution or rather language acquisition occurs because of the interaction between these two levels that makes the complex system of language in a population. To investigate this complex dynamics of language evolution computer models are indispensable tool. Using computer models it make plausible to do as many hypothetical experiments as one wants. Thus, Computer modelling allows us to investigate the long-term dynamics of this system and to perform hypothetical experiments on it by changing parameters and investigating how they influence the model’s behavior. In this paper we investigate different computational models i.e., agent based models, genetic algorithm based models, and artificial life based models.
An analysis of Koch and Minkowski fractal antennas for cognitive systems

Cognitive systems call for wireless communications with antennas having stringent requirements. For example, software-defined radio, cognitive radio, and cognitive sensor networks operate over very wide bandwidth, with small dimensions, high gain, and omnidirectionally. A candidate capable of addressing such requirements is the fractal antenna. This paper describes selected simulations results of the following two fractal antenna: Koch and Minkowski. The variation trends of the voltage standing-wave ratio, the reflection coefficient, and the S11 parameters of the antenna have been studied for several successive iterates of the fractal shapes.
An Empirical Analysis of Earnings and Employment Risk

The mean and higher moments of the distribution of future income are crucial determinants of individual choices. These moments are usually estimated in panel data from past income realizations. Inthis article we rely instead on subjective expectations available in the 1995 Survey of Household Income and Wealth, a large random sample representative of Italian households. The survey elicits information on the distribution of future earnings and on the probability of unemployment. Analysis of this distribution helps us understand how individual uncertainty evolves over the life cycle and if attitudes toward risk affect occupational choices and income riskiness.
Positive and Negative Affect, Anxiety, and Academic Achievement among Medical Students in Saudi Arabia

Several studies have proven that an individual’s psychological well-being is an essential element of his or her health. Stress and anxiety both play roles in the overall functioning of the individual. They have been shown to have powerful influence on students and their overall academic achievement and performance in their courses. In the present study, we sought to evaluate the effects of anxiety on the academic performance of medical students. The study participants were 185 male medical students in the faculty of medicine at Al Baha University, Saudi Arabia, and in age range from 19 to 25 years (M = 21.6 ± 1.7 years). To investigate students’ experiences of positive and negative affect and also their anxiety levels, the Positive and Negative Affect Schedule (PANAS) and the Taylor Manifest Anxiety Scale (TMAS) were administered to medical students and correlation of the PANAS and TMAS measures with Grade Point Average (GPA) was performed. The present study findings revealed that the association of positive affect (p = 0.016) of PANAS is significantly and strongly related to GPA in Saudi medical students, whereas negative affect and the TMAS were not, suggesting that the positive affect component of PANAS enhances the grade performance. To confirm and establish these results, future studies including both males and females with various economic backgrounds are recommended.
Efficient stopping rule for turbo decoders

A new stopping rule for turbo codes, the input-output consistency (IOC) check is presented. It is based on an extended maximum a posteriori algorithm that also outputs (hard) extrinsic estimates on the coded bits. In parallel, the hard decisions of the info bits are re-encoded and if the two sequences coincide, iterative decoding is stopped. Remarkably, IOC beats other known stopping rules in terms of error rate and convergence speed, closely approaching ideal 'Genie'-aided decoding.
Towards Ecology-Inspired Software Engineering

Ecosystems are complex and dynamic systems. Over billions of years, they have developed advanced capabilities to provide stable functions, despite changes in their environment. In this paper, we argue that the laws of organization and development of ecosystems provide a solid and rich source of inspiration to lay the foundations for novel software construction paradigms that provide stability as much as openness.
A Bayesian Recognitional Decision Model

The recognition-primed decision (RPD) model (Klein, 1993) is an account of expert decision making that focuses on how experts recognize situations as being similar to past experienced events and thus rely on memory and experience to make decisions. A number of computational models exist that attempt to account for similar aspects of expert decision making. In this paper, I briefly review these extant models and propose the Bayesian recognitional decision model (BRDM), a Bayesian implementation of the RPD model based primarily on models of episodic recognition memory (Mueller & Shiffrin, 2006; Shiffrin & Steyvers, 1997). The proposed model accounts for three important factors used by experts to make decisions: evidence about a current situation, the prior base rate of events in the environment, and the reliability of the information reporter. The Bayesian framework integrates these three aspects of information together in an optimal way and provides a principled framework for understanding recognitional decision processes.
Catheter-Based Systems With Integrated Stretchable Sensors and Conductors in Cardiac Electrophysiology

Established classes of high-performance electronics have driven advances in interventional biomedicine. However, the large size, planar geometry and stiff mechanical properties of standard conventional electronics employed in medical devices give rise to important integration challenges with soft biological tissue. Stretchable and flexible biointegrated electronics could improve treatment procedures across a broad range of applications, including cardiac, neural and endovascular therapies. Here we present novel mechanics, materials and integration strategies for this new class of bioelectronics onboard minimally invasive catheter based systems. Co-located arrays of sensors and actuators affixed to cardiac and angioplasty balloon catheters capture new sensory information during ablation procedures, offering physicians the ability to adjust placement and treatment intra-procedurally. New circuit topologies, enabled by stretchable electronics, also overcome long standing challenges associated with transmitting vast amounts of data through narrow catheter lumens, thus allowing for a large number of sensors to be multiplexed for mapping electrophysiological activity with high spatiotemporal resolution and with a minimal number of routing wires. We present representative examples that highlight the clinical significance of soft bio-integrated electronics, along with the mechanics and processes that enable this technology.
Ongoing Clinical Trials of Human Immunodeficiency Virus Latency-Reversing and Immunomodulatory Agents

In chronic human immunodeficiency virus (HIV)-1 infection, long-lived latently infected cells are the major barrier to virus eradication and functional cure. Several therapeutic strategies to perturb, eliminate, and/or control this reservoir are now being pursued in the clinic. These strategies include latency reversal agents (LRAs) designed to reactivate HIV-1 ribonucleic acid transcription and virus production and a variety of immune-modifying drugs designed to reverse latency, block homeostatic proliferation, and replenish the viral reservoir, eliminate virus-producing cells, and/or control HIV replication after cessation of antiretroviral therapy. This review provides a summary of ongoing clinical trials of HIV LRAs and immunomodulatory molecules, and it highlights challenges in the comparison and interpretation of the expected trial results.
Why Do Some Individuals Fear Immigration More than Others? Evidence from Europe

In this paper we show that the individuals' perception of immigration is shaped by their cultural and social characteristics. In order to account for cultural differences in a broader sense, we rely on linguistic relativity theory according to which linguistic differences in grammatical structure may induce speakers of different languages to conceptualize and experience the world differently (Sapir, 1921; Whorf and Carroll, 1964). Linguistic variation is measured by means of a specific linguistic marker developed in Kovacic et al. (2015) based on the number of grammatical categories (moods) concerned with the expression of uncertainty. We show that more intensive users of these specific grammatical forms are significantly more intolerant toward immigration with respect to other identical individuals speaking a different language/s. In line with Kovacic et al. (2015), this result can be interpreted as a direct consequence of individual unobserved general attitude towards uncertainty reflected by the specific linguistic marker used to measure the degree of linguistic variation. The results are robust to the inclusion of additional set of explanatory and control variables, country and year fixed effects, and alternative estimation methods.
On stability and passivity of haptic devices characterized by a series elastic actuation and considerable end-point mass

Series elastic actuators have considerable potential in rehabilitation robotics. However, the reflected mass of the motor and considerable robot's end-point mass, both linked by an elastic element, result in a potentially unstable coupled mechanical oscillator. Since rehabilitation devices are in constant contact with patients, safety concerns and consequently the devices' stability are very important. In this study, the conservative conditions that guarantee the stability of the haptic device (with a considerable end-point mass and driven by a series elastic actuator) were established. We have shown that sufficient damping should be presented in parallel to the spring in order to achieve the passivity of the haptic device. Theoretical results were confirmed in an experimental evaluation on previously developed rehabilitation device.
Oxidation of tryptophan-21 alters the biological activity and receptor binding characteristics of mouse nerve growth factor.

The tryptophan residues of P nerve growth factor (J3NGF) were modified by reaction with varying concentrations of N-bromosuccinimide. Analysis of the oxidized derivatives by electrophoresis under denaturing conditions, before and after reduction or oxidation of disulfide bonds, revealed partial hydrolysis of specific peptide bonds. Analysis of the newly created NH2 termini by the 5-dimethylaminonaphthalene-1-sulfonyl procedure showed that the peptide bonds contained the carbonyl group of the reacted tryptophan residues and that the oxidation reaction proceeded in the order Trp21, Trp-99, and Trp-76. To obtain PNGF modified only at Trp-21, 0.9 tryptophan residues/NGF chain were oxidized. The dose-response curves for the PNGF-induced neurite outgrowth on sensory and PC12 cells showed that 20to 30-fold higher concentrations for the 0.9 Trp-OX-NGF YNGF oxidized with N-bromosuccinimide) derivative and about 1000-fold higher concentrations for a 2.0 Trp-OX-NGF derivative were required to elicit half-maximum biological response when compared with native PNGF. This decrease in biological activity was paralleled by a decreased binding to NGF receptors on both sensory and PC12 cells. On sensory cells, the affinity of 0.9 Trp-OX-NGF was 2.5% and the affinity of 2.0 Trp-OX-NGF was 0.05% of that of native PNGF. Tested on PC12 cells, 0.9 Trp-OX-NGF bound with 1.2% of the affinity of native PNGF. At the highest concentration tested, 2.0 Trp-OX-NGF did not compete with the binding of PNGF to PC12 cells. That the residual binding affinity and biological activity of 0.9 TrpOX-NGF were not due to unmodified PNGF in the preparation was ascertained by the PNGF-dependent cytotoxicity assay, which showed that less than 0.2% of unmodified PNGF remained. In contrast to the significant decrease in biological and binding activity, the derivative modified at Trp-21 retained 25% of the antigenicity of the native protein.
Metabotropic Glutamate Receptor 3 Genotype May Predict N-Acetylaspartate Measures in the Dorsolateral Prefrontal Cortex

Objective This study was carried out to confirm prior evidence of an effect of a single nucleotide polymorphism (SNP) in the metabotropic glutamate receptor 3 (GRM3) gene (a putative risk factor for schizophrenia) on measures of N-acetylaspartate in healthy comparison subjects.
Sequence-based Mask Other Masks Errors in Detecting Bad Probes Probes with High-low Gc Content Analysis of Gene Expression Differences Other Methods Tested Single-tissue Dataset Two-tissue Dataset

All probes were mapped to human and chimp genomes (human genome hg18, chimp genome version 2.1.45 and cDNA (from NCBI36.45 build) with the PatMan (Prüfer et al., 2008) algorithm, allowing up to one mismatch. In order to have exact error estimates for our mask, we conservatively defined probes as having a sequence difference only when a probe had exactly one perfect match to the genome in one species and in another species lacks a perfect match, but had exactly one match with a single basepair difference. We defined probes without any sequence difference as probes with exactly one perfect match in both species. If there was no match to the genome sequence, then any number of matches in cDNA were also treated as a match. All expression based masks and the following computations were implemented in R, with help of Bioconductor " affy " package Gentleman et al. (2004). To construct a mask with the (Greenhall et al., 2007) method we used their webpage interface. In mask construction and in downstream analysis we use only probesets expressed in both groups, where a probeset is defined as expressed if there is a mas5 " P " call in at least 90% of samples in each group. We calculated the ratio of not detected BAD probes to all BAD probes (type 1 error) and the fraction of probes not differing in predicted binding affinity, detected as such (type 2 error). For the human-chimp dataset we used sequence-based mask as binding affinity prediction, for simulated datasets we used the information of which probes were flipped. Probes (all, or probes with desired middle nucleotide) were ordered according to their GC content and first/last 20% of them were used to simulate BAD probes. Gene expression was estimated with standard RMA method and quantile normalization,with affy Bioconductor package (Gautier et al., 2004). Differentially expressed probesets were found by a t-test, at a significance level 0.05 (lower cutoffs, and using instead a Wilcoxon rank test gave very similar results) We define as type 2 errors the fraction of probesets differing in expression between groups in the original data, which were not detected as differentially expressed after simulating BAD probes and masking. We define as type 1 errors the fraction of probesets not differing in expression in the original dataset that are detected as differentially expressed after simulation and masking. In constructing the method described in the paper, …
Comparative Analysis of Andrew Files System and Hadoop Distributed File System

—Sharing of resources is the main goal of distributed system. The sharing of stored information is the most important aspect of distributed resource sharing. A file system was originally developed to provide convenient programming interface to disk storage for the centralized system. With the advent of distributed systems distributed storage has become very prominent. A distributed file system enables users to store and access remote files exactly as they do local ones, allowing users to access files from any computer on a network. The objective of this paper is to compare very first open source wide distribution of distributed file system called Andrew file system and the latest widely used distributed file system-Hadoop distributed file system.
Cosmological Smoothed Particle Hydrodynamic Simulations with Four Million Particles: Statistical Properties of X-Ray Clusters in a Low-Density Universe

We present results from a series of cosmological smoothed particle hydrodynamics (SPH) simulations coupled with the particle-particle-particle-mesh solver for the gravitational force. The simulations are designed to predict the statistical properties of X-ray clusters of galaxies as well as to study the formation of galaxies. We have seven simulation runs with different assumptions about the thermal state of the intracluster gas. Following the recent work by Pearce and coworkers, we modify our SPH algorithm so as to phenomenologically incorporate galaxy formation by decoupling the cooled gas particles from the hot gas particles. All the simulations employ 1283 particles both for dark matter and for gas components and thus constitute the largest systematic catalogs of clusters simulated in the SPH method performed so far. These enable us to compare the analytical predictions about statistical properties of X-ray clusters against our direct simulation results in an unbiased manner. We find that the luminosities of the simulated clusters are quite sensitive to the thermal history and also to the numerical resolution of the simulations and thus are not reliable. On the other hand, the mass-temperature relation for the simulated clusters is fairly insensitive to the assumptions of the thermal state of the intracluster gas, is robust against the numerical resolution, and in fact agrees well with the analytic prediction. Therefore, prediction of the X-ray temperature functions of clusters on the basis of the Press-Schechter mass function and the virial equilibrium is fairly reliable.