Miracle-dz/UniFAR-FTUs huggingface dataset:
A Visual Summary for Linked Open Data sources

In this paper we propose LODeX, a tool that produces a representative summary of a Linked open Data (LOD) source starting from scratch, thus supporting users in exploring and understanding the contents of a dataset. The tool takes in input the URL of a SPARQL endpoint and launches a set of predefined SPARQL queries, from the results of the queries it generates a visual summary of the source. The summary reports statistical and structural information of the LOD dataset and it can be browsed to focus on particular classes or to explore their properties and their use. LODeX was tested on the 137 public SPARQL endpoints contained in Data Hub (formerly CKAN), one of the main Open Data catalogues. The statistical and structural information extraction was successfully performed on 107 sources, among these the most significant ones are included in the online version of the tool.
VIP: Video-assisted inter-vehicle positioning system

Intelligent Transportation System (ITS) provides various services for vehicular environments. Many of them require accuracy information about vehicle's position. However, the current positioning techniques may not satisfy the accuracy requirement, especially for safety applications. In this paper, we propose a Video-Assisted Inter-Vehicle Positioning (VIP) system. The system integrates processed image data from video sensors equipped on part of vehicles and inter-vehicle communication techniques. The system equips each vehicle with a GPS and inter-vehicle communication modules, and a part of vehicles are equipped with a video sensor. The data extracted from video sensors will be exchanged among vehicles and assist each vehicle to validate the position received from neighboring vehicles so as to improve the accuracy of cooperative positioning. Simulation results shown that our approach can achieve 30 percent of improvement in the position accuracy when only half of vehicles were fully equipped, and improve the accuracy by factor of 40 percent (within 3m) if all vehicles were fully equipped.
${\cal L}_{\infty}$-Gain Adaptive Fuzzy Fault Accommodation Control Design for Nonlinear Time-Delay Systems

In this paper, an adaptive fuzzy fault accommodation (FA) control design with a guaranteed L∞-gain performance is developed for a class of nonlinear time-delay systems with persistent bounded disturbances. Using the Lyapunov technique and the Razumikhin-type lemma, the existence condition of the L∞ -gain adaptive fuzzy FA controllers is provided in terms of linear matrix inequalities (LMIs). In the proposed FA scheme, a fuzzy logic system is employed to approximate the unknown term in the derivative of the Lyapunov function due to the unknown fault function; a continuous-state feedback control strategy is adopted for the control design to avoid the undesirable chattering phenomenon. The resulting FA controllers can ensure that every response of the closed-loop system is uniformly ultimately bounded with a guaranteed L∞-gain performance in the presence of a fault. Moreover, by the existing LMI optimization technique, a suboptimal controller is obtained in the sense of minimizing an upper bound of the L∞-gain. Finally, the achieved simulation results on the FA control of a continuous stirred tank reactor (CSTR) show the effectiveness of the proposed design procedure.
Molecular characterization of Saccharomyces cerevisiae α-pheromone by mass spectrometry-based peptidomics.

Using modern peptide analytical MS technology ('Peptidomics'), it is possible to analyze yeast α-pheromone both qualitatively and semi-quantitatively directly from conditioned cell culture media. MS/MS analysis shows both forms of α-pheromone (MFα and MFα') detectable and identifiable straight from WT supernatants. In addition to the mature intact α-pheromones, also post-translationally modified α-pheromone peptides and fragments thereof are found to be present in the culture medium. This molecular analytical technique is complementary to the recently described quantitation method by Rogers et al. (2012, FEMS Yeast Res. 12:668) based on ELISA.
THE ENGINE AND THE REAPER: INDUSTRIALIZATION AND MORTALITY IN EARLY MODERN JAPAN

Economic development leads to improved health over time due to increased access to medical treatment, sanitation, and income, but in the short run the relationship may be negative given disease exposure from market integration. Using a panel dataset of vital statistics for Meiji Japan, I find mortality rates increased during the country's early industrialization, with railroad access accounting for over five percent of average mortality between 1886 and 1893. Estimates from a triple-differences framework indicate that communicable disease mortality accounts for 91 percent of the additional incidence, which suggests that improved transport may have operated as a vector for transmission.
Liquid–crystal phase transitions in suspensions of plate–like particles

We study the liquid–crystalline phase behaviour of suspensions of hard colloidal platelets, in particular, the relationship between their size polydispersity and the stability of a nematic, columnar and smectic phase. A first–order nematic–to–columnar transition is observed for suspensions up to 25% polydispersity in platelet diameter (σD). However, at densities slightly above nematic–columnar coexistence, the columnar order appears to vanish in the case of σD = 25%, while columnar stability persists for σD = 17%. The observed tolerance of polydispersity in the columnar phase, being a two–dimensional crystal, seems remarkable in light of current predictions for the terminal polydispersity for hard–sphere crystallization and hard–rod smectic ordering.
Evaluation of the Rutting Deformation Data of Asphalt Mixtures during Continuous Cycle Testing Based on Short-Cycle Wheel Tracking Testing

Research on rutting deformation was performed using a wheel tracking machine (WTM) in the laboratory. The limited capabilities of the equipment, which can run for 1,260 cycles, are often an obstacle to accomplishing more in-depth analysis. This study evaluated the use of two types of asphalt mixtures based on the penetration value and the temperatures. The goal of this study was to use the WTM at a short cycle capacity to collect up to 3,780 cycles to reach plastic deformation (secondary zone). The curve is not continuous due to the lag time between each step of the test. The model was developed based on the changes in the deformation for each cycle. A method is proposed to evaluate the relationship between the rutting deformation curve and the load cycles of WTM during testing. The results showed that the curve is the power function with R2 values from 0.963 to 1.000. This model can improve the shape of the curve with the addition of a reload step in the WTM short cycle.
Numerical simulations of nanotribology

We present a 3D multiscale coupling method to address sliding contact simulations at the nanoscale. The components of the model are a molecular dynamics engine, a finite element program and a coupling scheme. We consider the normal loading of a rough (fractal) surface and discuss the influence of dislocation interactions beneath contacting asperities on the contact response. We then conduct a sliding simulation between two rough surfaces, which yields a direct prediction of the evolution of contact clusters.
The production of post-Golgi vesicles requires a protein kinase C-like molecule, but not its phosphorylating activity

We have recently described a system that recreates in vitro the generation of post-Golgi vesicles from purified Golgi fractions obtained from virus-infected MDCK cells in which the vesicular stomatitis virus-G envelope glycoprotein had been allowed to accumulate in vivo in the TGN. Vesicle formation, monitored by the release of the viral glycoprotein, was shown to require the activation of a GTP- binding ADP ribosylation factor (ARF) protein that promotes the assembly of a vesicle coat in the TGN, and to be regulated by a Golgi- associated protein kinase C (PKC)-like activity. We have now been able to dissect the process of post-Golgi vesicle generation into two sequential stages, one of coat assembly and bud formation, and another of vesicle scission, neither of which requires an ATP supply. The first stage can occur at 20 degrees C, and includes the GTP-dependent activation of the ARF protein, which can be effected by the nonhydrolyzable nucleotide analogue GTP gamma S, whereas the second stage is nucleotide independent and can only occur at a higher temperature of incubation. Cytosolic proteins are required for the vesicle scission step and they cannot be replaced by palmitoyl CoA, which is known to promote, by itself, scission of the coatomer-coated vesicles that mediate intra-Golgi transport. We have found that PKC inhibitors prevented vesicle generation, even when this was sustained by GTP gamma S and ATP levels reduced far below the K(m) of PKC. The inhibitors suppressed vesicle scission without preventing coat assembly, yet to exert their effect, they had to be added before coat assembly took place. This indicates that a target of the putative PKC is activated during the bud assembly stage of vesicle formation, but only acts during the phase of vesicle release. The behavior of the PKC target during vesicle formation resembles that of phospholipase D (PLD), a Golgi-associated enzyme that has been shown to be activated by PKC, even in the absence of the latter's phosphorylating activity. We therefore propose that during coat assembly, PKC activates a PLD that, during the incubation at 37 degrees C, promotes vesicle scission by remodeling the phospholipid bilayer and severing connections between the vesicles and the donor membrane.
The health and well-being of Australia’s future medical doctors: protocol for a 5-year observational cohort study of medical trainees

Introduction Clinical training in the undergraduate medical course places multiple stressors on trainees, which have been held to lead to heightened distress, depression, suicide, substance misuse/abuse and poor mental health outcomes. To date, evidence for morbidity in trainees is largely derived from cross-sectional survey-based research. This limits the accuracy of estimates and the extent to which predispositional vulnerabilities (biological and/or psychological), contextual triggers and longer-term consequences can be validly identified. Longitudinal clinical assessments embedded within a biopsychosocial framework are needed before effective preventative and treatment strategies can be put in place. Methods and analysis This study is an observational longitudinal cohort study of 330 students enrolled in the undergraduate medicine course at the University of New South Wales (UNSW) Sydney, Australia. Students will be recruited in their fourth year of study and undergo annual assessments for 4 consecutive years as they progress through increasingly demanding clinical training, including internship. Assessments will include clinical interviews for psychiatric morbidity, and self-report questionnaires to obtain health, psychosocial, performance and functioning information. Objective measures of cognitive performance, sleep/activity patterns as well as autonomic and immune function (via peripheral blood samples) will be obtained. These data will be used to determine the prevalence, incidence and severity of mental disorder, elucidate contextual and biological triggers and mechanisms underpinning psychopathology and examine the impact of psychopathology on performance and professional functioning. Ethics and dissemination Ethics approval has been granted by the UNSW human research ethics committee (reference HC16340). The findings will be disseminated through peer-reviewed publications and conference presentations, and distributed to key stakeholders within the medical education sector. The outcomes will also inform targeted preventative and treatment strategies to enhance stress resilience in trainee doctors.
A collateral missing value estimation algorithm for DNA microarrays

Genetic microarray expression data often contains multiple missing values that can significantly affect the performance of statistical and machine learning algorithms. This paper presents an innovative missing value estimation technique, called collateral missing value estimation (CMVE) which has demonstrated superior estimation performance compared with the K-nearest neighbour (KNN) imputation algorithm, the least square impute (LSImpute) and Bayesian principal component analysis (BPCA) techniques. Experimental results confirm that CMVE provides an improvement of 89%, 12% and 10% for the BRCA1, BRCA2 and sporadic ovarian cancer mutations, respectively, compared to the average error rate of KNN, LSImpute and BPCA imputation methods, over a range of randomly selected missing values. The underlying theory behind CMVE also means that it is not restricted to bioinformatics data, but can be successfully applied to any correlated data set.
The Arabidopsis cytochrome P450 CYP86A1 encodes a fatty acid ω-hydroxylase involved in suberin monomer biosynthesis

The lipophilic biopolyester suberin forms important boundaries to protect the plant from its surrounding environment or to separate different tissues within the plant. In roots, suberin can be found in the cell walls of the endodermis and the hypodermis or periderm. Apoplastic barriers composed of suberin accomplish the challenge to restrict water and nutrient loss and prevent the invasion of pathogens. Despite the physiological importance of suberin and the knowledge of the suberin composition of many plants, very little is known about its biosynthesis and the genes involved. Here, a detailed analysis of the Arabidopsis aliphatic suberin in roots at different developmental stages is presented. This study demonstrates some variability in suberin amount and composition along the root axis and indicates the importance of ω-hydroxylation for suberin biosynthesis. Using reverse genetics, the cytochrome P450 fatty acid ω-hydroxylase CYP86A1 (At5g58860) has been identified as a key enzyme for aliphatic root suberin biosynthesis in Arabidopsis. The corresponding horst mutants show a substantial reduction in ω-hydroxyacids with a chain length <C20, demonstrating that CYP86A1 functions as a hydroxylase of root suberized tissue. Detailed expression studies revealed a strong root specificity and a localized expression in the root endodermis. Transgenic expression of CYP86A1 fused to GFP distributed CYP86A1 to the endoplasmic reticulum, indicating that suberin monomer biosynthesis takes place in this sub-cellular compartment before intermediates are exported in the apoplast.
Learning with queries corrupted by classification noise

Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this approach in several ways, in order to tackle algorithms that use "membership queries": focusing on the more stringent model of "persistent noise". The main ingredients in the general analysis are: (1) Smallness of dimension of both the targets' class and the queries' class. (2) Independence of the noise variables. Persistence restricts independence forcing repeated invocation of the same point x to give the same label. We apply the general analysis and ad-hoc considerations to get noise-robust version of Jackson's Harmonic Sieve (1995), which learns DNF under the uniform distribution. This corrects an error in his earlier analysis of noise tolerant DNF learning.
ScreenAvoider: Protecting Computer Screens from Ubiquitous Cameras

We live and work in environments that are inundated with cameras embedded in devices such as phones, tablets, laptops, and monitors. Newer wearable devices like Google Glass, Narrative Clip, and Autographer offer the ability to quietly log our lives with cameras from a `first person' perspective. While capturing several meaningful and interesting moments, a significant number of images captured by these wearable cameras can contain computer screens. Given the potentially sensitive information that is visible on our displays, there is a need to guard computer screens from undesired photography. People need protection against photography of their screens, whether by other people's cameras or their own cameras. We present ScreenAvoider, a framework that controls the collection and disclosure of images with computer screens and their sensitive content. ScreenAvoider can detect images with computer screens with high accuracy and can even go so far as to discriminate amongst screen content. We also introduce a ScreenTag system that aids in the identification of screen content, flagging images with highly sensitive content such as messaging applications or email webpages. We evaluate our concept on realistic lifelogging datasets, showing that ScreenAvoider provides a practical and useful solution that can help users manage their privacy.
Structural insight into operator dre-sites recognition and effector binding in the GntR/HutC transcription regulator NagR

The uptake and metabolism of N-acetylglucosamine (GlcNAc) in Bacillus subtilis is controlled by NagR (formerly named YvoA), a member of the widely-occurring GntR/HutC family of transcription regulators. Upon binding to specific DNA operator sites (dre-sites) NagR blocks the transcription of genes for GlcNAc utilization and interaction of NagR with effectors abrogates gene repression. Here we report crystal structures of NagR in complex with operator DNA and in complex with the putative effector molecules glucosamine-6-phosphate (GlcN-6-P) and N-acetylglucosamine-6-phosphate (GlcNAc-6-P). A comparison of the distinct conformational states suggests that effectors are able to displace the NagR–DNA-binding domains (NagR–DBDs) by almost 70 Å upon binding. In addition, a high-resolution crystal structure of isolated NagR–DBDs in complex with palindromic double-stranded DNA (dsDNA) discloses both the determinants for highly sequence-specific operator dre-site recognition and for the unspecific binding of NagR to dsDNA. Extensive biochemical binding studies investigating the affinities of full-length NagR and isolated NagR–DBDs for either random DNA, dre-site-derived palindromic or naturally occurring non-palindromic dre-site sequences suggest that proper NagR function relies on an effector-induced fine-tuning of the DNA-binding affinities of NagR and not on a complete abrogation of its DNA binding.
Rupture and variable coupling behavior of the Mentawai segment of the Sunda megathrust during the supercycle culmination of 1797 to 1833

We refer to periods of subduction strain accumulation beneath the Mentawai Islands, Sumatra, as “supercycles,” because each culminates in a series of partial ruptures of the megathrust in its final decades. The finale of the previous supercycle comprised two giant earthquakes in 1797 and 1833 and whatever happened in between. This behavior between two great ruptures has implications for how the megathrust will behave between its more recent partial failure, during the Mw 8.4 earthquake of 2007, and subsequent large ruptures. We synthesize previously published coral microatoll records and a large new coral data set to constrain not only these two giant ruptures but also the intervening interseismic megathrust behavior. We present detailed maps of coseismic uplift during the two earthquakes and of interseismic deformation during the periods 1755–1833 and 1950–2000, as well as models of the corresponding slip and coupling on the underlying megathrust. The large magnitudes we derive (Mw 8.6–8.8 for 1797 and Mw 8.8–8.9 for 1833) confirm that the 2007 earthquakes released only a fraction of the moment released during the previous rupture sequence. Whereas megathrust behavior leading up to the 1797 and 2007 earthquakes was similar and comparatively simple, behavior between 1797 and 1833 was markedly different and more complex: several patches of the megathrust became weakly coupled following the 1797 earthquake. We conclude that while major earthquakes generally do not involve rupture of the entire Mentawai segment, they may significantly change the state of coupling on the megathrust for decades to follow, influencing the progression of subsequent ruptures.
An environmental social marketing intervention among employees: assessing attitude and behaviour change

Abstract The paper examines the impact of individual and organisational factors on two simultaneous environmental social marketing interventions (SmartPrint and heating/cooling) and types of behaviours (recycling, printing and heating/cooling), among employees of a British City Council. Using a quantitative methodology, in the form of a situated experiment, self-reported attitudes, perceptions of organisational support, self-reported behaviours and actual behaviours were measured before and after the interventions. The interventions generated significant changes in employees’ overall environmental behaviour, heating/cooling behaviour and in some perceptions of organisational support (support and incentives/rewards). Findings are used to detail recommendations for future campaigns aiming to improve organisations’ environmental performance and to drive enduring employee behavioural change.
Ink feeding control based on measured ink density

Printing ink volume control is one of the key factors in the printing process, which decides the printing color and reproduction quality. Printing ink volume is controlled through the console by adjusting ink key opening degree. The only parameter that reflects printing ink volume and general used is solid ink density measurement. According to the ink feed principle of sheeted print machines, a special test sheet was designed and printing test experiments were carried out to search for the relations between ink density and printing ink volume. The function between the ink density and the ink key opening, as well as printing relative contrast and dot gain curve was established by the experiment simply. The results can be used as a mathematical model for automatic printing ink volume control and the experimental method is very useful in practice.
A New Optimistic Mobility Model for Mobile Ad Hoc Networks

To produce a real-world environment within which an ad hoc network can be formed among a set of nodes, there is a need for the development of realistic, generic and comprehensive mobility models. Simulation environment is an important tool for the evaluation of new concepts in networking. Here, we show that the proposed mobility model has a significant impact on network performance, especially when compared to other mobility models. The mobile ad hoc networks depend on understanding protocols from simulations, before these protocols are implemented in a real-world setting. In this paper, we present a new mobility model for mobile ad hoc network. We have developed a complete environment in which network protocols can be studied on the basis of numerous performance metrics and we also observe that the performance of ad hoc network protocols is affected when different mobility scenarios are utilized.