Miracle-dz/UniFAR-FTUs huggingface dataset:
Coranderrk: We will show the country

We interview Dr Nanni here below. First, some background to the play is given. Coranderrk: We Will Show the Country is a groundbreaking theatrical performance that combines theatre and history to provide unprecedented insight into a remarkable yet little-known chapter of Australia's past. Consisting entirely of the actual words spoken and written by Aboriginal and European men and women at the 1881 Parliamentary Coranderrk Inquiry, and drawing on petitions, letters and newspaper articles dated from the time, this unique play enables the voices of key historical figures such as William Barak and Anne Bon to be brought before contemporary audiences.
High-sensitivity troponin I concentrations are a marker of an advanced hypertrophic response and adverse outcomes in patients with aortic stenosis

Aims High-sensitivity cardiac troponin I (cTnI) assays hold promise in detecting the transition from hypertrophy to heart failure in aortic stenosis. We sought to investigate the mechanism for troponin release in patients with aortic stenosis and whether plasma cTnI concentrations are associated with long-term outcome. Methods and results Plasma cTnI concentrations were measured in two patient cohorts using a high-sensitivity assay. First, in the Mechanism Cohort, 122 patients with aortic stenosis (median age 71, 67% male, aortic valve area 1.0 ± 0.4 cm2) underwent cardiovascular magnetic resonance and echocardiography to assess left ventricular (LV) myocardial mass, function, and fibrosis. The indexed LV mass and measures of replacement fibrosis (late gadolinium enhancement) were associated with cTnI concentrations independent of age, sex, coronary artery disease, aortic stenosis severity, and diastolic function. In the separate Outcome Cohort, 131 patients originally recruited into the Scottish Aortic Stenosis and Lipid Lowering Trial, Impact of REgression (SALTIRE) study, had long-term follow-up for the occurrence of aortic valve replacement (AVR) and cardiovascular deaths. Over a median follow-up of 10.6 years (1178 patient-years), 24 patients died from a cardiovascular cause and 60 patients had an AVR. Plasma cTnI concentrations were associated with AVR or cardiovascular death HR 1.77 (95% CI, 1.22 to 2.55) independent of age, sex, systolic ejection fraction, and aortic stenosis severity. Conclusions In patients with aortic stenosis, plasma cTnI concentration is associated with advanced hypertrophy and replacement myocardial fibrosis as well as AVR or cardiovascular death.
Using Attack Injection on Closed Protocols

Many network servers rely on the correctness and security of closed protocols. However, the unavailability of the protocol specification hinders any attempt to adequately test the implementations of that protocol. The paper addresses this problem by complementing an attack injection methodology with a protocol reverse engineering component. We introduce a new approach to automatically infer the message formats and the protocol state machine based only on network traces, without requiring access to the source code or binaries. Keywords-protocol reverse engineering; attack injection;
Classifying and searching hidden-web text databases

The World-Wide Web continues to grow rapidly, which makes exploiting all available information a challenge. Search engines such as Google index an unprecedented amount of information, but still do not provide access to valuable content in text databases “hidden” behind search interfaces. For example, current search engines largely ignore the contents of the Library of Congress, the US Patent and Trademark database, newspaper archives, and many other valuable sources of information because their contents are not “crawlable. ” However, users should be able to find the information that they need with as little effort as possible, regardless of whether this information is crawlable or not. As a significant step towards this goal, we have designed algorithms that support browsing and searching—the two dominant ways of finding information on the web—over “hidden-web” text databases. To support browsing, we have developed QProber, a system that automatically categorizes hidden-web text databases in a classification scheme, according to their topical focus. QProber categorizes databases without retrieving any document. Instead, QProber uses just the number of matches generated from a small number of topically focused query probes. The query probes are automatically generated using state-of-the-art supervised machine learning techniques and are typically short. QProber's classification approach is sometimes orders of magnitude faster than approaches that require document retrieval. To support searching, we have developed crucial building blocks for constructing sophisticated metasearchers, which search over many text databases at once through a unified query interface. For scalability and effectiveness, it is crucial for a metasearcher to have a good database selection component and send queries only to databases with relevant content. Usually, database selection algorithms rely on statistics that characterize the contents of each database. Unfortunately, many hidden-web text databases are completely autonomous and do not report any summaries of their contents. To build content summaries for such databases, we extract a small, topically focused document sample from each database during categorization and use it to build the respective content summaries. A potential problem with content summaries derived from document samples is that any reasonably small sample will suffer from data sparseness and will riot contain many words that appear in the database. (Abstract shortened by UMI.)
Towards a Model-Based Approach for Context-Aware Composition and Adaptation: A Case Study using WF/.NET

Developing software systems by assembling pre-existing software components (COTS), requires a composition and adaptation process of the component interfaces to solve both syntactical and behavioural mismatches. The use of context-aware computing is important in applications where the context changes depending on the conditions of the environment, as is the case in mobile and pervasive computing. These conditions are likely to change at run-time, therefore the systems developed must be able to alter their behaviour at run-time. In our proposal we outline an approach which supports model-based context-aware composition and adaptation of software components and services implemented using Windows Workflow Foundation (WF). To illustrate the proposal we depict a realistic and complex case study applied to mobile devices.
Fully characterizing the set of time consistent discount functions.

This paper reexamines the time consistency of discount functions as analyzed by Strotz (1956) and Koopmans (1960). Following on an observation by Heal (1998) regarding the time consistency of logarithmic discounting, I fully characterize the class of time consistent—but not necessarily autonomous—discount functions. I use my findings to explain an apparent “paradox” in the use of the gamma discounting method formulated by Weitzman (2001). One conclusion from the analysis is that a policymaker, when valuing intertemporal projects, can select a discount function which exhibits at most two of the following three properties: (1) time consistency, (2) autonomy, and/or (3) declining discount rates. The results of the paper suggest that the discounting debate be reframed to consider the costliness of time inconsistency against the benefits of employing declining discount rates and retaining autonomy. An interesting mathematical result of the paper is that time consistent discounting is equivalent to creating a metric space which is isometric to the real numbers.
On the Free Distance of Convolutional Turbo Codes

The free distance of convolutional codes is the most important parameter determining their performance under good channel conditions. In this paper, we investigate the free distance properties of turbo-like codes generated by non-terminated convolutional encoders and convolutional permutors. In particular, we prove the existence of such codes whose free distance exhibits the same asymptotic growth rate in the permuter memory as block turbo codes in the permuter size
Semantic Answer Validation using Universal Networking Language

we present a rule-based answer validation (AV) system based on textual entailment (TE) recognition mechanism that uses semantic features expressed in the Universal Networking Language (UNL). We consider the question as the TE hypothesis (H) and the supporting text as TE text (T). Our proposed TE system compares the UNL relations in both T and H in order to identify the entailment relation as either validated or rejected. For training and evaluation, we used the AVE 2008 development set. We obtained 58% precision and 22% F-score for the decision “validated. ” Keywords— question answering, textual entailment, Universal Networking Language, AVE 2008 data sets.
Analog-to-digital converter for input voltage measurements in low-power digitally controlled switch-mode power supply converters

This paper introduces a practical analog-to-digital (ADC) converter architecture for the input voltage measurements in low-power digitally controlled switch-mode power supplies (SMPS). The ADC utilizes known reference voltage and a duty ratio of a simple circuit mimicking operation of the converter to obtain the information about the input voltage value. The functionality of the ADC is verified through a discrete implementation, with a 1.5 V/3 W buck converter based experimental prototype. A better than 1.5% accuracy is observed over the entire 1.8 V to 3.3 V input voltage range. A small silicon size of about 0.025mm2 is also estimated, based on the synthesized digital logic and already existing on-chip integrated system functional blocks.
Error Analysis of a Security-Oriented User Interface

User interfaces form a critical juncture between humans and computers. When the interface fails, the user fails, and the mission is lost. For example, in computer security applications, human-made configuration errors can expose entire systems to various forms of attack. To avoid interaction failures, a dependable user interface must facilitate user-task completion as quickly and as accurately as possible. Defects in the interface cause user errors (e.g., goal, plan, action and perception errors), that impinge on accuracy goals, and can lead to mission failure. This paper explores the causes of goal errors, asking what aspects of a user interface contribute to or detract from a user’s propensity to commit goal errors. A design principle (anchor-based subgoaling) was formulated for avoiding goal errors. Implementing this principle requires presenting the user with a salient representation, or anchor, of the goal state, and providing a framework to facilitate a user’s creation and pursuit of subgoals to complete a task. Two interfaces for setting user file permissions were tested: Windows XP and an alternative. The alternative supported anchor-based subgoaling, and Windows did not. Experiments with 24 human subjects demonstrated the increased effectiveness of the alternative interface, obtaining as much as a four-fold increase in accuracy in a representative user task, and a 94% reduction in the number of goal-error occurrences.
The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression

SUMMARY Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or subgroups. Here, we borrow ideas from the OASIS methods in the bioinformatics and statistics literature to develop the 'most informative spacing test' (MIST) for unsupervised detection of such transcriptomic features. In an example application involving 14 cases of pediatric acute megakaryoblastic leukemia, MIST more robustly identified features that perfectly discriminate subjects according to gender or the presence of a prognostically relevant fusion-gene than did seven other OASIS methods in the analysis of RNA-seq exon expression, RNA-seq exon junction expression and micorarray exon expression data. MIST was also effective at identifying features related to gender or molecular subtype in an example application involving 157 adult cases of acute myeloid leukemia. AVAILABILITY MIST will be freely available in the OASIS R package at http://www.stjuderesearch. org/site/depts/biostats CONTACT stanley.pounds@stjude.org SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
P-Value Segment Selection Technique for Speaker Verification

This paper presents a segment selection technique for discarding portions of speech that result in poor discrimination ability in speaker verification tasks. Theory supporting the significance of a frame selection procedure for test segments, prior to making decisions, is also developed. This approach has the ability to reduce the effect of the acoustic regions of speech that are not accurately represented due to a lack of training data. Compared with a baseline system using both CMS and variance normalization, the proposed segment selection technique brings 24% relative reduction in error rate over the entire testing data of the 2002 NIST Dataset in terms of minimum DCF. For short test segments, i.e. less than 15 seconds, the novel frame dropping technique produces a significant relative error rate reduction of 23% in terms of minimum DCF.
Monitoring of flowing charges with an electrostatic voltmeter

This paper describes a simple method of monitoring the net electric charge of powders transported pneumatically through a dielectric pipe. An electrostatic voltmeter (ESVM) is used to measure the voltage induced on an isolated ring electrode placed on the outside surface of the pipe. An equivalent circuit model of the measurement system was constructed and experimentally verified using an electrophotographic toner and an aluminum oxide powder (Al/sub 2/O/sub 3/). Knowledge of the voltage induced by flowing charged particles on the electrode allows for the calculation of the total charge that flew through the pipe. However, in order to obtain an accurate voltage measurement, the input impedance of the instrument used for that purpose must be very high. The high impedance of an ESVM makes it uniquely suited for this application.
Multidimensional Change in Therapeutic Communities for Addictions: The Interplay Between Participant Characteristics, Perceptions of the TC Treatment Process and Time in Treatment

ABSTRACT The objective of the current study is to investigate the association between time in treatment and participants' perceptions of the treatment process in therapeutic communities (TCs) for addictions. Using a linear mixed effect model, we assessed whether the rate of participant change was related to motivation, cluster B personality traits, and psychological distress. Longitudinal data were gathered among 155 adults in 4 traditional TCs for addictions in Belgium. The results provide evidence that with time in treatment participants develop more profound perceptions regarding the TC concepts and processes of self-change, which denotes the theoretical assumption of identity change and right living in TC treatment.
Mefloquine exerts anticancer activity in prostate cancer cells via ROS-mediated modulation of Akt, ERK, JNK and AMPK signaling

Mefloquine (MQ) is a prophylactic anti-malarial drug. Previous studies have shown that MQ induces oxidative stress in vitro. Evidence indicates that reactive oxygen species (ROS) may be used as a therapeutic modality to kill cancer cells. This study investigated whether MQ also inhibits prostate cancer (PCa) cell growth. We used sulforhodamine B (SRB) staining to determine cell viability. MQ has a highly selective cytotoxicity that inhibits PCa cell growth. The antitumor effect was most significant when examined using a colony formation assay. MQ also induces hyperpolarization of the mitochondrial membrane potential (MMP), as well as ROS generation. The blockade of MQ-induced anticancer effects by N-acetyl cysteine (NAC) pre-treatment confirmed the role of ROS. This indicates that the MQ-induced anticancer effects are caused primarily by increased ROS generation. Moreover, we observed that MQ-mediated ROS simultaneously downregulated Akt phosphorylation and activated extracellular signal-regulated kinase (ERK), c-Jun N-terminal kinase (JNK) and adenosine monophosphate-activated protein kinase (AMPK) signaling in PC3 cells. These findings provide insights for further anticancer therapeutic options.
Video-based Bio-Signal Measurements for a Mobile Healthcare System

In this paper, video-based bio-signal measurements for a mobile healthcare system are proposed. Our proposed method can indirectly measure a bio-signal such as pulse rate, oxygen saturation, respiration rate, and blood pressure from the color value of a video image. This method is capable of providing an estimation of the information regarding a user's health status without the use of a sensor attachment. The overall results of the experiment (mean absolute error (MAE)) show a 9.89 bpm pulse rate, 1.6 % oxygen saturation, a 19.93 mmHg systolic blood pressure, a 13.93 mmHg diastolic blood pressure, and a respiration rate of 3.71 times.
Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition

Pain is a vital sign of human health and its automatic detection can be of crucial importance in many different contexts, including medical scenarios. While most available computer vision techniques are based on RGB, in this paper, we investigate the effect of combining RGB, depth, and thermal facial images for pain intensity level recognition. For this purpose, we extract energies released by facial pixels using a spatiotemporal filter. Experiments on a group of 12 elderly people applying the multimodal approach show that the proposed method successfully detects pain and recognizes between three intensity levels in 82% of the analyzed frames, improving by more than 6% the results that only consider RGB data.
The Dark Side of the Halo Occupation Distribution

We analyze the halo occupation distribution (HOD) and two-point correlation function of galaxy-size dark matter halos using high-resolution dissipationless simulations of the concordance flat ΛCDM model. The halo samples include both the host halos and the "subhalos," distinct gravitationally bound halos within the virialized regions of larger host systems. We find that the HOD, the probability distribution for a halo of mass M to host a number of subhalos N, is similar to that found in semianalytic and N-body+gasdynamics studies. Its first moment, ⟨N⟩M, has a complicated shape consisting of a step, a shoulder, and a power-law high-mass tail. The HOD can be described by Poisson statistics at high halo masses but becomes sub-Poisson for ⟨N⟩M ≲ 4. We show that the HOD can be understood as a combination of the probability for a halo of mass M to host a central galaxy and the probability to host a given number Ns of satellite galaxies. The former can be approximated by a steplike function, while the latter can be well approximated by a Poisson distribution, fully specified by its first moment. The first moment of the satellite HOD can be well described by a simple power law ⟨Ns⟩ ∝ Mβ with β ≈ 1 for a wide range of number densities, redshifts, and different power spectrum normalizations. This formulation provides a simple but accurate model for the halo occupation distribution found in simulations. At z = 0, the two-point correlation function (CF) of galactic halos can be well fitted by a power law down to ~100 h-1 kpc with an amplitude and slope similar to those of observed galaxies. The dependence of correlation amplitude on the number density of objects is in general agreement with results from the Sloan Digital Sky Survey. At redshifts z ≳ 1, we find significant departures from the power-law shape of the CF at small scales, where the CF steepens because of a more pronounced one-halo component. The departures from the power law may thus be easier to detect in high-redshift galaxy surveys than at the present-day epoch. They can be used to put useful constraints on the environments and formation of galaxies. If the deviations are as strong as indicated by our results, the assumption of the single power law often used in observational analyses of high-redshift clustering is dangerous and is likely to bias the estimates of the correlation length and slope of the correlation function.
Discovery of X-Ray Emission from the Distant Lensing Cluster of Galaxies Cl 2236–04 at z = 0.552

X-ray emission from the distant lensing cluster Cl 2236-04 at z = 0.552 was discovered by ASCA and ROSAT/HRI observations. If the spherical symmetric mass distribution model of the cluster is assumed, the lensing estimate of the cluster mass is a factor of 2 higher than that obtained from X-ray observations as reported for many distant clusters. However, the elliptical and clumpy lens model proposed by Kneib and coworkers is surprisingly consistent with the X-ray observations, assuming that the X-ray-emitting hot gas is isothermal and in a hydrostatic equilibrium state. The existence of the cooling flow in the central region of the cluster is indicated by the short central cooling time and the excess flux detected by ROSAT/HRI compared to the ASCA flux. However, it is shown that, even if the Cl 2236-04 has a cooling flow in the central region, the temperature measured by ASCA, which is the mean emission-weighted cluster temperature in this case, should not be different from the virial temperature of the cluster. Therefore, we conclude that the effects of the clumpiness and nonzero ellipticity in the mass distribution of the cluster are essential to explain the observed feature of the giant luminous arc, and in this cluster there is no discrepancy between strong lensing and X-ray estimation of the cluster mass.
The catalytic A1 domains of cholera toxin and heat-labile enterotoxin are potent DNA adjuvants that evoke mixed Th1/Th17 cellular immune responses

DNA encoded adjuvants are well known for increasing the magnitude of cellular and/or humoral immune responses directed against vaccine antigens. DNA adjuvants can also tune immune responses directed against vaccine antigens to better protect against infection of the target organism. Two potent DNA adjuvants that have unique abilities to tune immune responses are the catalytic A1 domains of Cholera Toxin (CTA1) and Heat-Labile Enterotoxin (LTA1). Here, we have characterized the adjuvant activities of CTA1 and LTA1 using HIV and SIV genes as model antigens. Both of these adjuvants enhanced the magnitude of antigen-specific cellular immune responses on par with those induced by the well-characterized cytokine adjuvants IL-12 and GM-CSF. CTA1 and LTA1 preferentially enhanced cellular responses to the intracellular antigen SIVmac239-gag over those for the secreted HIVBaL-gp120 antigen. IL-12, GM-CSF and electroporation did the opposite suggesting differences in the mechanisms of actions of these diverse adjuvants. Combinations of CTA1 or LTA1 with IL-12 or GM-CSF generated additive and better balanced cellular responses to both of these antigens. Consistent with observations made with the holotoxin and the CTA1-DD adjuvant, CTA1 and LTA1 evoked mixed Th1/Th17 cellular immune responses. Together, these results show that CTA1 and LTA1 are potent DNA vaccine adjuvants that favor the intracellular antigen gag over the secreted antigen gp120 and evoke mixed Th1/Th17 responses against both of these antigens. The results also indicate that achieving a balanced immune response to multiple intracellular and extracellular antigens delivered via DNA vaccination may require combining adjuvants that have different and complementary mechanisms of action.