Miracle-dz/UniFAR-FTUs huggingface dataset:
Event analytics via social media

In this work, we analyze the responses of users to public events through social media. We apply analytical methods on transcripts from public speeches and tweets from Twitter users to provide a deeper understanding of the feedback of individuals on events through Twitter. In particular, we develop a joint statistical model of the messages posted by Twitter users and the paragraphs from speeches, based on their topical connections. Our analysis of President Obama's speech on the Middle East on May 19, 2011 and a sample of 800 tweets contributed during the speech shows that the majority of users on Twitter do not directly comment on a specific paragraph of a speech. On the contrary, their feedback is high level and related to the general topics of the event. In addition, the tweets that directly comment on a specific paragraph in the speech are related to topics of high interest in the Middle East.
Network-level properties of modern anonymity systems

This paper shows the network-level view of the behaviour of two popular and deployed anonymity systems; Tor and JAP (AN.ON). The analysis uses the fact that both of them depend on TCP (transmission control protocol) and shows cases when network conditions may affect the systemspsila operations. The main topics are: on-off traffic, difference in available bandwidth between peers, and usage of the window mechanism in the TCP. The analysis is divided into two parts: from both the senderpsilas and receiverpsilas point of view. We present the results of experiments made on live systems, showing that the analyzed effects may be encountered in practice.
Arabidopsis Bax Inhibitor-1 inhibits cell death induced by pokeweed antiviral protein in Saccharomyces cerevisiae

Apoptosis is an active form of programmed cell death (PCD) that plays critical roles in the development, differentiation and resistance to pathogens in multicellular organisms. Ribosome inactivating proteins (RIPs) are able to induce apoptotic cell death in mammalian cells. In this study, using yeast as a model system, we showed that yeast cells expressing pokeweed antiviral protein (PAP), a single-chain ribosome-inactivating protein, exhibit apoptotic-like features, such as nuclear fragmentation and ROS production. We studied the interaction between PAP and AtBI-1 (Arabidopsis thaliana Bax Inhibitor-1), a plant anti-apoptotic protein, which inhibits Bax induced cell death. Cells expressing PAP and AtBI-1 were able to survive on galactose media compared to PAP alone, indicating a reduction in the cytotoxicity of PAP in yeast. However, PAP was able to depurinate the ribosomes and to inhibit total translation in the presence of AtBI-1. A C-terminally deleted AtBI-1 was able to reduce the cytotoxicity of PAP. Since anti-apoptotic proteins form heterodimers to inhibit the biological activity of their partners, we used a co-immunoprecipitation assay to examine the binding of AtBI-1 to PAP. Both full length and C-terminal deleted AtBI-1 were capable of binding to PAP. These findings indicate that PAP induces cell death in yeast and AtBI-1 inhibits cell death induced by PAP without affecting ribosome depurination and translation inhibition.
The quality of sustainability reports and impression management: A stakeholder perspective

Purpose - The purpose of this research is to analyze the perceptions of stakeholders – more specifically, socially responsible investment (SRI) practitioners – of the quality of sustainability reports using the Global Reporting Initiative (GRI) framework. Design/methodology/approach - This paper is based on 33 semi-structured interviews carried out with different stakeholders and experts (e.g., consultants, fund managers, analysts, consultants) in the field of SRI in Canada Findings - The perceptions of SRI practitioners shed more light on the elastic and uncertain application of the GRI principles in determining the quality of sustainability reports. Their perceptions tend to support the argument that sustainability reports reflect the impression management strategies used by companies to highlight the positive aspects of their sustainability performance and to obfuscate negative outcomes. Originality/value - 1. Undertake empirical research on stakeholders’ perceptions – which have been largely overlooked – of the quality of sustainability reports. 2. Shed new light on the impression management strategies used in sustainability reporting. 3. Show the reflexivity and the degree of skepticism of practitioners with regard to the reliability of information on sustainability performance.
Title Stata.com Mgarch — Multivariate Garch Models

Description Syntax Remarks and examples References Also see Description mgarch estimates the parameters of multivariate generalized autoregressive conditional-heteroskedasticity (MGARCH) models. MGARCH models allow both the conditional mean and the conditional covariance to be dynamic. The general MGARCH model is so flexible that not all the parameters can be estimated. For this reason, there are many MGARCH models that parameterize the problem more parsimoniously. mgarch implements four commonly used parameterizations: the diagonal vech model, the constant conditional correlation model, the dynamic conditional correlation model, and the time-varying conditional correlation model.
The threshold number of protons to induce an adaptive response in zebrafish embryos

In this study, microbeam protons were used to provide the priming dose to induce an in vivo radioadaptive response (RAR) in the embryos of zebrafish, Danio rerio, against subsequent challenging doses provided by x-ray photons. The microbeam irradiation system (Single-Particle Irradiation System to Cell, acronym SPICE) at the National Institute of Radiological Sciences (NIRS), Japan, was employed. The embryos were dechorionated at 4 h post fertilisation (hpf) and irradiated at 5 hpf by microbeam protons. For each embryo, one irradiation point was chosen, to which 5, 10, 20, 30, 40, 50, 100, 200, 300 and 500 protons each with an energy of 3.4 MeV were delivered. The embryos were returned to the incubator until 10 hpf to further receive the challenging exposure, which was achieved using 2 Gy of x-ray irradiation, and then again returned to the incubator until 24 hpf for analyses. The levels of apoptosis in zebrafish embryos at 25 hpf were quantified through terminal dUTP transferase-mediated nick end-labelling (TUNEL) assay. The results revealed that at least 200 protons (with average radiation doses of about 300 and 650 mGy absorbed by an irradiated epithelial and deep cell, respectively) would be required to induce RAR in the zebrafish embryos in vivo. Our previous investigation showed that 5 protons delivered at 10 points on an embryo would already be sufficient to induce RAR in the zebrafish embryos. The difference was explained in terms of the radiation-induced bystander effect as well as the rescue effect.
Interactions of the Human MCM-BP Protein with MCM Complex Components and Dbf4

MCM-BP was discovered as a protein that co-purified from human cells with MCM proteins 3 through 7; results which were recapitulated in frogs, yeast and plants. Evidence in all of these organisms supports an important role for MCM-BP in DNA replication, including contributions to MCM complex unloading. However the mechanisms by which MCM-BP functions and associates with MCM complexes are not well understood. Here we show that human MCM-BP is capable of interacting with individual MCM proteins 2 through 7 when co-expressed in insect cells and can greatly increase the recovery of some recombinant MCM proteins. Glycerol gradient sedimentation analysis indicated that MCM-BP interacts most strongly with MCM4 and MCM7. Similar gradient analyses of human cell lysates showed that only a small amount of MCM-BP overlapped with the migration of MCM complexes and that MCM complexes were disrupted by exogenous MCM-BP. In addition, large complexes containing MCM-BP and MCM proteins were detected at mid to late S phase, suggesting that the formation of specific MCM-BP complexes is cell cycle regulated. We also identified an interaction between MCM-BP and the Dbf4 regulatory component of the DDK kinase in both yeast 2-hybrid and insect cell co-expression assays, and this interaction was verified by co-immunoprecipitation of endogenous proteins from human cells. In vitro kinase assays showed that MCM-BP was not a substrate for DDK but could inhibit DDK phosphorylation of MCM4,6,7 within MCM4,6,7 or MCM2-7 complexes, with little effect on DDK phosphorylation of MCM2. Since DDK is known to activate DNA replication through phosphorylation of these MCM proteins, our results suggest that MCM-BP may affect DNA replication in part by regulating MCM phosphorylation by DDK.
A Research on BIT Single-Fault Threshold Value Setting Approach Based on ROC

In order to solve the problem that setting the double threshold value hypothesis question under the single breakdown in the BIT, to decrease BIT's false alarm rate, and improve BIT’s testability. Researches were done on the subject’s quota relations between the ROC sensitivity, specificity and its FDR, FAR, and corresponding test index was got on the ROC. It was realized that more lower FAR can be obtained under certain prerequisite by using a parameter normal distribution model in the three states to simulating the actual measurement data and inputting the ROC analysis. The simulation results showed that it is valid and feasible that applies the method proposed to modify the value of BIT single failure threshold.
Testing the nonlinearity of the BVIcJHKs period-luminosity relations for the Large Magellanic Cloud Cepheids

Aims. A number of recent works have suggested that the period-luminosity (PL) relation for the Large Magellanic Cloud (LMC) Cepheids exhibits a controversial nonlinear feature with a break period at 10 days. Therefore, the aim of this Research Note is to test the linearity/nonlinearity of the PL relations for the LMC Cepheids in BV IcJHKs band, as well as in the Wesenheit functions. Methods. We show that simply comparing the long and short period slopes, together with their associated standard deviations, lea ds to a strictly larger error rate than applying rigorous stati stical tests such as the F-test. We applied various statistical tests to the current published LMC Cepheid data. These statistical tests include the F-test, the testimator test, and the Schwarz information cri terion (SIC) method. Results. The results from these statistical tests strongly suggest t hat the LMC PL relation is nonlinear in BV IcJH band but linear in the Ks band and in the Wesenheit functions. Using the properties of period-color relations at maximum light and multi-phase relations, we believe that the nonlinear PL relation is not caused by extinction errors.
An evolutionary system for automatic explicit rule extraction

The search for novel and useful patterns within large databases, known as data mining, has become of great importance owing to the ever-increasing amounts of data collected by large organizations. In particular, the emphasis is on heuristic search methods which are able to discover patterns that are hard or impossible to detect using standard query mechanisms and classical statistical techniques. In this paper, an evolutionary system that is capable of extracting explicit classification rules is presented. The results are compared with those obtained by other approaches.
Multi scale CRF based RGB-D image segmentation using inter frames potentials

This paper proposed a novel multi-scale approach to solve energy minimization problem which can be used to deal with indoor scene labeling problem. The principal idea of all multi-scale algorithms is solving their finer problems to efficiently initialize coarser. We propose the use of both color and depth information which is captured by Microsoft Kinect sensor. In order to create our energy function, we use the Conditional Random Field (CRF) approach, and add our geometrical constraint to pairwise potential as regions extraction method based on both edge of RGB and Range image and definition of Cliques between two consecutive frames. We evaluate our method on challenging NYU v1 dataset and Experimental results show that our proposed method reached 2.35 for Hausdorff criterion and enhances the time of image segmentation.
Developing and evaluating interventions for women firesetters in high secure mental healthcare

Purpose The purpose of this paper is to discuss the implementation and evaluation of interventions for women firesetters in high secure mental healthcare at the UK’s National Women’s Service. Design/methodology/approach Two types of Arson treatment programmes for women, one delivered to individuals, the other within a group context, were developed, delivered and evaluated. The evaluation incorporated qualitative and quantitative data, including psychometric measures. Qualitative data were analysed using thematic analysis. Findings The evaluation evidenced very high engagement with and attendance at treatment programmes, and several post-treatment gains. Participants’ ratings of programmes and qualitative feedback were similarly very positive. The study demonstrated that engaging women firesetters in their treatment is paramount and can be facilitated by consistent boundaries around therapy provision balanced with sensitivity, empathy and flexibility; providing interactive and varied teaching methods; ongoing service user involvement and recognising participants’ achievements; employing a mixed cognitive analytic therapy and cognitive behavioural therapy therapeutic approach; having input from fire service staff; and maintaining organisational support for firesetting interventions. Practical implications In all, 12 key recommendations are made for clinicians considering offering treatment programmes for women firesetters. Originality/value Amid few published papers on treating women firesetters this paper guides forensic clinicians in establishing and delivering interventions for women firesetters.
New Elite Multi-Parent Crossover Evolutionary Optimization Algorithm of Parameters Tuning of Fractional-Order PID Controller and Its Application

PID control is one of the most common control method used for process control and fractional-order PIλDβ control that is the promotion and development of general integer-order PID control1. Compared to integer-order PID controller, fractional-order PIλDβ controller has more advantages that integer-order PID controller does not have, but the tuning method of fractional-order PID control is still a topic to be resolved, and it is rarely studied so far. In this paper, based on filtering algorithms and adopting the Matlab/Simulink software, a new method to effectively solve optimization problem of function is proposed, that is, on the basis of multi-parent crossover evolutionary optimization algorithm and by introduction of the elite-preservation strategy to enhance the selection pressure of parents in the process of crossover, the elite multi-parent crossover evolutionary optimization algorithm is constructed and the program EMPCOA1.0 is developed for the optimization of parameters tuning. Simulation results show that it is an effective tuning strategy, it also can be seen that better control quality can be achieved by using fractional-order PIλDβcontroller for nonlinear systems.
Design, optimization and analysis of the axial C-core Switched Reluctance Generator for wind power application

Switched reluctance generator (SRG) has been covered in several researches in the last two decades. These kind of machine is very promising for wind power application due to their low cost, high efficiency and high power density per volume. On the other hand, lots of researches are dedicated to the study and project of traditional SRG (radial flux). This article presents the electromagnetic design and optimization of the Axial Switched Reluctance Generator with C Core (C-SRG) using finite element method. Moreover, in order to better analyze the dynamic behavior of the C-SRG, a co-simulation was developed using the software Maxwell 3D and Simplorer. The simulation results indicate that the methodology adopted was suitable and can be applied to C-SRG electromagnetic design.
Acute effects of blood glucose on chromatic visually evoked potentials in persons with diabetes and in normal persons.

PURPOSE To determine whether specific chromatic pathways are selectively affected by short-term variations in blood glucose levels in observers with and without diabetes. METHODS Ten subjects with diabetes, all with type 1 diabetes and no retinopathy, and eight age-similar normal subjects were tested. Cortical visually evoked potentials (VEPs) in response to stimuli designed to selectively activate the short-wavelength-sensitive (S) or long- and middle-wavelength-sensitive (LM) chromatic (isoluminant) pathways or the achromatic pathway were recorded over a period of several hours. Capillary blood glucose also was measured repeatedly over the same period. The relation between VEP latency and blood glucose was determined. RESULTS The S-pathway VEP latency was correlated significantly with blood glucose in a slight majority (6/10) of persons with diabetes; S-pathway latency was longer at higher blood glucose levels. This association between S-pathway latency and blood glucose was not dependent on the pattern of blood glucose variation over time (i.e., significant correlations between blood glucose and latency were observed in persons for whom blood glucose increased, decreased, or rose and then fell over time). No dependence on blood glucose was observed for LM- or achromatic-pathway VEP latency in subjects with diabetes. CONCLUSIONS Acute variations in blood glucose of subjects with diabetes over hours selectively affect the function of the short-wavelength-sensitive chromatic pathway. The findings are discussed within the context of known mechanisms by which elevated glucose affects cellular metabolism with a time course consistent with the transient nature of the effect observed.
A Local Broadcast Layer for the SINR Network Model

We present the first algorithm that implements an abstract MAC (absMAC) layer in the Signal-to-Interference-plus-Noise-Ratio (SINR) wireless network model. We first prove that efficient SINR implementations are not possible for the standard absMAC specification. We modify that specification to an "approximate" version that better suits the SINR model. We give an efficient algorithm to implement the modified specification, and use it to derive efficient algorithms for higher-level problems of global broadcast and consensus. In particular, we show that the absMAC progress property has no efficient implementation in terms of the SINR strong connectivity graph G1-ε, which contains edges between nodes of distance at most (1-ε) times the transmission range, where ε>0 is a small constant that can be chosen by the user. This progress property bounds the time until a node is guaranteed to receive some message when at least one of its neighbors is transmitting. To overcome this limitation, we introduce the slightly weaker notion of approximate progress into the absMAC specification. We provide a fast implementation of the modified specification, based on decomposing the algorithm of [10] into local and global parts. We analyze our algorithm in terms of local parameters such as node degrees, rather than global parameters such as the overall number of nodes. A key contribution is our demonstration that such a local analysis is possible even in the presence of global interference. Our absMAC algorithm leads to several new, efficient algorithms for solving higher-level problems in the SINR model. Namely, by combining our algorithm with high-level algorithms from [26], we obtain an improved (compared to [10]) algorithm for global single-message broadcast in the SINR model, and the first efficient algorithm for multi-message broadcast in that model. We also derive the first efficient algorithm for network-wide consensus, using a result of [32]. This work demonstrates that one can develop efficient algorithms for solving high-level problems in the SINR model, using graph-based algorithms over a local broadcast abstraction layer that hides the technicalities of the SINR platform such as global interference. Our algorithms do not require bounds on the network size, nor the ability to measure signal strength, nor carrier sensing, nor synchronous wakeup.
Hydrogen peroxide in breath condensate during a common cold.

BACKGROUND: Hydrogen peroxide (H2O2) in exhaled air condensate is elevated in inflammatory disorders of the lower respiratory tract. It is unknown whether viral colds contribute to exhaled H2O2. AIM: To assess exhaled H2O2 during and after a common cold. METHODS: We examined H2O2 in the breath condensate of 20 normal subjects with acute symptoms of a common cold and after recovery 2 weeks later and, similarly, in 10 subjects without infection. H2O2 was measured with a fluorimetric assay. RESULTS: At the time of infection exhaled H2O2 (median, ranges) was 0.20 microM (0.03-1.2 microM), and this decreased to 0.09 microM (< 0.01-0.40 microM) after recovery (p = 0.006). There was no significant difference in lung function (forced vital capacity and forced expiratory volume in 1 sec) during and after colds. In the controls, exhaled H2O2 did not change over a 2-week period. CONCLUSIONS: H2O2 in exhaled air condensate is elevated during a common cold, and returns to normal within 2 weeks of recovery in healthy subjects. Hence, symptomatic upper respiratory tract infection may act as a confounder in studies of H2O2 as a marker of chronic lower airway inflammation.
Antimonotony-based delay avoidance for CHR

We present an optimisation for Constraint Handling Rules (CHR) that reduces the amount of variables a constraint delays on. This optimisation reduces the overhead of delaying on variables as well as the needless reawakening of delayed constraint. A correctness proof of the optimisation based on the refined operational semantics establishes the validity of the optimisation and sheds light on possible extensions as well as related optimisations. The delay avoidance optimisation shows good speedups for some programs and no noticable slowdown for others. Antimonotony-based Delay Avoidance for CHR Tom Schrijvers Bart Demoen {toms,bmd}@cs.kuleuven. ac.be Abstract We present an optimisation for Constraint Handling Rules (CHR) that reduces the amount of variables a constraint delays on. This optimisation reduces the overhead of delaying on variables as well as the needless reawakening of delayed constraint. A correctness proof of the optimisation based on the refined operational semantics establishes the validity of the optimisation and sheds light on possible extensions as well as related optimisations. The delay avoidance optimisation shows good speedups for some programs and no noticable slowdown for others.We present an optimisation for Constraint Handling Rules (CHR) that reduces the amount of variables a constraint delays on. This optimisation reduces the overhead of delaying on variables as well as the needless reawakening of delayed constraint. A correctness proof of the optimisation based on the refined operational semantics establishes the validity of the optimisation and sheds light on possible extensions as well as related optimisations. The delay avoidance optimisation shows good speedups for some programs and no noticable slowdown for others.