Miracle-dz/UniFAR-FTUs huggingface dataset:
Malware Behavior Capturing Based on Taint Propagation and Stack Backtracing

Although dynamic analysis is immune to polymorphic, metamorphic, and encryption techniques, it is an open issue how to precisely capture behavior of malware. A connection between system call and its module has been constructed using taint propagation and stack back tracing, and a method of capturing malware behavior is presented on the basis of this connection. This method works well on parasitic malware and the analysis results are more concise. Finally, a prototype Module-based Analysis Tool (MAT) on Windows XP has been implemented. The experimental results show that MAT can capture well behaviors of most kinds of malwares, and locate the real malicious module, which is very useful to remove malware.
The Importance of Authentic Assessments in Eligibility Determination for Infants and Toddlers

Population changes, legislative changes, time and cost constraints, and practitioner and family perceptions each affect the delivery of early intervention services. This pilot project examined current evaluation practices used with the birth to 3 population. The role of norm-referenced and authentic assessment tools in the eligibility determination process was examined through a convenience sample of child–caregiver dyads and interdisciplinary practitioners. A majority of the children in the project were given a norm-referenced assessment along with authentic assessment measures. For more than half of those children, interpretation of the norm-referenced scores was questioned as standardized procedures could not be followed due to home language differences. Practitioners reported using authentic assessment information rather than norm-referenced data to derive developmental needs in nearly 80% of the children evaluated. The results of the pilot project provide a foundation for future study of evidence-bas.
A practical algorithm for computing the Delaunay triangulation for convex distance functions

The Voronoi Diagram for a set of data points (called sites) is a subdivision of the plane into regions, one region for each site. The region belonging to a given site consists of that portion of the plane closer to it than to any of the other sites. Shamos and Hoey [SH75] gave an optimal O(n log n) algorithm for computing the Voronoi diagram and showed that it leads to optimal algorithms for a number of other problems in computer science. The diagram has been re-discovered many times for applications in geography, meteorology, biology, anthropology, archeology, astronomy, geology, physics, metallurgy, and statistics. Boots [B87] gives a summary of many of these applications, with dozens of references. The geometric dual of the Voronoi diagram is called the Delaunay diagram. It has the property that every edge is contained inside a circle with no sites (other than its endpoints) in its interior or on its boundary. If no four sites are cocircular, the Delaunay diagram is a triangulation of the sites. If not, it can be extended to a triangulation by arbitrarily triangulating regions with more than three sides. Any such triangulation is called a Delaunay triangulation. It has the property that every edge is contained in a circle with no sites in its interior. Such a circle is calledpoint-free. A number of generalizations of the Voronoi diagram have been presented. The ones relevant to this paper define the diagram for other distance measures. Hwang gives an algorithm for the Ll metric [H79]. Lee and Wong give an algorithm for the Ll and L, metrics bW80]. Lee gives an algorithm for general Lp metrics jL80]. Widmayer, Wu, and Wong give an algorithm for metrics where paths between points are limited to a fixed number of orientations [WWW87]. Chew and Drysdale give an algorithm for general distance measures that Minkowski called convex distance functions, where the “unit circle” can be defined to be any convex shape [CD85]. All of the other metrics Unfortunately, the algorithms discussed above are not easy to implement. Some do not handle special cases like cocircular points or points lying on a line parallel to a flat side of the convex shape. The data structures and algorithms to represent and manipulate bisector curves are complex. There can be problems with numerical stability. Robert Collins implemented Chew and Drysdale’s algorithm in 115 pages of very well documented Mesa code, with about three quarters of the code handling computing bisectors, * Dept. Math & CS, Dartmouth College, Hanover, NH 03755 + Supported in part by National Science Foundation Grant DMC-8704147.
A Comparison of Performance Tunabilities between OpenCL and OpenACC

To design and develop any auto tuning mechanisms for OpenACC, it is important to clarify the differences between conventional GPU programming models and OpenACC in terms of available programming and tuning techniques, called performance tunabilities. This paper hence discusses the performance tunabilities of OpenACC and OpenCL. As OpenACC cannot synchronize threads running on GPUs, some important techniques are not available to OpenACC. Therefore, we also design an additional compiler directive for thread synchronization. Evaluation results show that both OpenCL and OpenACC need architecture-aware optimizations, and similar approaches to performance optimization are effective for both OpenCL and OpenACC. The additional directive can allow OpenACC to describe more tuning techniques in the same approach as OpenCL. As it is obvious that OpenACC is more productive than OpenCL especially for legacy application migration, OpenACC is a very promising programming model if it can achieve the same performance as the conventional GPU programming models such as CUDA and OpenCL.
Speckle Noise and Dynamic Range in Coronagraphic Images

This paper is concerned with the theoretical properties of high-contrast coronagraphic images in the context of exoplanet searches. We derive and analyze the statistical properties of the residual starlight in coronagraphic images and describe the effect of a coronagraph on the speckle and photon noise. Current observations with coronagraphic instruments have shown that the main limitations to high-contrast imaging are due to residual quasi-static speckles. We tackle this problem in this paper and propose a generalization of our statistical model to include the description of static, quasi-static, and fast residual atmospheric speckles. The results provide insight into the effects on the dynamic range of wave front control, coronagraphy, active speckle reduction, and differential speckle calibration. The study is focused on ground-based imaging with extreme adaptive optics, but the approach is general enough to be applicable to space, with different parameters.
A case study on the incorporation of gender-awareness into the university journalism curriculum in Spain

ABSTRACT As in other disciplines, ‘gender mainstreaming’ is becoming an increasingly important principle in Journalism. This implies bringing gender equality into the mainstream of the media industry, by means of an adjustment of the educational issues and the practice related to this profession, which is influential in society. In light of the gap existing in this line of research committed to re-education for change [North, L. 2010. “The Gender Problem in Australian Journalism Education. ” Australian Journalism Review 32 (2): 103–115; Adhikary, N. M. , and L. D. Pant 2011. “Journalism Education in Nepal: Gender Perspective. ” Shweta Shardul 8: 119–123], this paper analyses the curricular integration of gender-related issues into journalism studies, taking as a casestudy the undergraduate programmes of the Spanish public and private universities. The study employs content analysis and qualitative questionnaires to the academic staff. The results prevent from understanding equality as one of the main teaching and learning strategies in journalism studies in Spain, even if the invigorating curriculum reform carried out by these universities leads to posit some positive outcome in terms of a more gender-aware higher education. As discussed in the conclusions, the inclusion of the gender perspective depends on the academic staff’s own initiative, in contrast with the involvement showed by university institutions in promoting parity in many other aspects.
The Relationship Between Chronic Atrial Fibrillation and Reduced Pulmonary Function in Cases of Preserved Left Ventricular Systolic Function

Background and Objectives The purpose of this study was to investigate the relationship between chronic atrial fibrillation (AF) and reduced pulmonary function. Subjects and Methods Eighty-six chronic AF patients who were enrolled from annual health examination programs were studied using echocardiography and pulmonary function tests (PFT). Echocardiography and PFT matched for age, gender, and year performed were selected by the control group who had normal sinus rhythms. Patients with ejection fractions <50%, valvular heart disease, or ischemic heart disease were excluded. Results In the chronic AF patients, the forced expiratory volume at one second (FEV1), FEV1%, and FEV1/forced vital capacity (FVC) were significantly reduced, and the right ventricular systolic pressure was significantly increased. Episodes of heart failure were more frequently associated with the chronic AF patients than the controls. In particular, the FEV1% had the most meaningful relationship to chronic AF after an adjustment for cardiovascular risk factors {p=0.003, Exp (B)=0.978, 95% confidence interval (CI):0.963-0.993}. Conclusion Reduced FEV1%, which represents the severity of airway obstruction, was associated with chronic AF, and the greater the pulmonary function impairment, the greater the co-existence with AF and congestive heart failure in those with preserved left ventricular systolic function.
Modification of anxiety sensitivity and P300 using an interpretation modification program

OF THE THESIS Modification of Anxiety Sensitivity and P300 Using an Interpretation Modification Program by Anna M. Stoermann Master of Arts in Psychology San Diego State University, 2016 Anxiety disorders are common, debilitating, and associated with functional impairment and cognitive biases, such as interpretation biases for negative information. Although efficacious treatments exist for these disorders, many affected individuals do not have access to them. One treatment that has been shown to be efficacious in the last 10 years for anxiety is computerized cognitive bias modification (CBM). Moreover, it is possible to use a specific form of CBM (interpretation bias modification, IBM) to reduce the negative interpretations and increase benign interpretations of ambiguous events, and this in turn can reduce anxiety responses to a stressor. Additionally, IBM interventions can reduce levels of anxiety about anxiety sensations (i.e., anxiety sensitivity, AS). However, studies demonstrating the effect of IBM on AS have not generalized to other response systems (e.g., reduction of physiological responding). To address this issue, in Experiment 1 I tested a single-session IBM intervention to determine if interpretation biases could be modified in 18 participants. In Experiment 2, I used electroencephalogram (EEG) before and after one session of IBM to measure the P300 in 10 undergraduates with high self-reported Anxiety Sensitivity Index (ASI) scores. For both experiments, I hypothesized that after one session of IBM participants would: 1) endorse more benign and fewer negative interpretations of ambiguous scenarios and 2) show a decrease in ASI scores; additionally, for Experiment 2 I hypothesized that IBM participants would: 3) show reduced P300 amplitude for the oddball stimuli. As predicted, there was a significant Time x Valence interaction in the training group for both experiments, such that negative biases significantly decreased and neutral biases did not significantly change. Also, ASI scores significantly decreased in Experiment 1, and there was a significant main effect of Time in Experiment 2 indicating that ASI scores significantly decreased across both conditions. Finally, P300 amplitude for oddball stimuli did not reduce over time. Results from this study suggest that individuals high in AS have interpretation biases that can be modified; however, a multi-session program or more participants may be needed to obtain differential reductions in AS or change of the P300.
Extensions and limitations of analytical airfoil broadband noise models

The present paper is a state-of-the-art of a special class of analytical models to predict the broadband noise generated by thin airfoils in a flow, either clean or disturbed. Three generating mechanisms are addressed, namely the noise from the impingement of upstream turbulence called turbulence-interaction noise, the noise due to the scattering of boundary-layer turbulence as sound at the trailing edge for an attached flow called trailing-edge noise, and the noise generated due to the formation of a coherent vortex shedding in the near wake of a thick trailing edge, called vortex-shedding noise. Different analytical models previously proposed for each mechanism are reviewed, as declinations of the same basic approach inherited from the pioneer work performed by Amiet in the seventies and based on an extensive use of Schwarzschild's technique. This choice is only an alternative to other models available in the literature and is made here for the sake of a unified approach. Issues dealing with the input data and related to the practical applications to fan noise predictions are rapidly outlined. The validity of the models is ckeched against dedicated experiments with thin airfoils and the limitations as the real configurations depart from the model assumptions are pointed out.
Effects of molecular weight and temperature on liquid–liquid phase separation in particles containing organic species and inorganic salts

Abstract. Atmospheric particles containing organic species and inorganic salts may undergo liquid–liquid phase separation when the relative humidity varies between high and low values. To better understand the parameters that affect liquid–liquid phase separation in atmospheric particles, we studied the effects of molecular weight and temperature on liquid–liquid phase separation in particles containing one organic species mixed with either ammonium sulfate or ammonium bisulfate. In the molecular-weight-dependent studies, we measured liquid–liquid phase separation relative humidity (SRH) in particles containing ammonium sulfate and organic species with large molecular weights (up to 1153 Da). These results were combined with recent studies of liquid–liquid phase separation in the literature to assess if molecular weight is a useful parameter for predicting SRH. The combined results, which include results from 33 different particle types, illustrate that SRH does not depend strongly on molecular weight (i.e., a clear relationship between molecular weight and SRH was not observed). In the temperature-dependent studies, we measured liquid–liquid phase separation in particles containing ammonium sulfate mixed with 20 different organic species at 244 ± 1 K, 263 ± 1 K, and 278 ± 1 K; a few particles were also studied at 290 ± 1 K. These new results were combined with previous measurements of the same particle types at 290 ± 1 K. The combined SRH data illustrate that for the organic–ammonium sulfate particles studied, the SRH does not depend strongly on temperature. At most the SRH varied by 9.7% as the temperature varied from 290 to 244 K. The high SRH values (> 65%) in these experiments may explain the lack of temperature dependence. Since water is a plasticizer, high relative humidities can lead to high water contents, low viscosities, and high diffusion rates in the particles. For these cases, unless the temperature is very low, liquid–liquid phase separation is not expected to be kinetically inhibited. The occurrence of liquid–liquid phase separation and SRH did depend strongly on temperature over the range of 290–244 K for particles containing α,4-dihydroxy-3-methoxybenzeneacetic acid mixed with ammonium bisulfate. For this particle type, a combination of low temperatures and low water content likely favored kinetic inhabitation of the liquid–liquid phase separation by slow diffusion rates in highly viscous particles. The combined results suggest that liquid–liquid phase separation is likely a common occurrence in atmospheric particles at temperatures from 244–290 K, although particles that do not undergo liquid–liquid phase separation are also likely common.
Premalignant Pancreatic Cancer Diagnosis Using Proteomic Pattern Analysis

Pancreatic cancer is one of the deadliest cancers due to the fact that it does not exhibit symptoms in the early stages. Furthermore, when pancreatic cancer gets diagnosed, it is usually too late. Consequently, early diagnosis is highly essential. The dawn of proteomics has brought with it a glimpse of hope of uncovering biomarkers that can be indicative of early pancreatic cancer. Proteome profiling techniques have become popular in the recent years to try to make sense of high-dimensional proteomic data and to find discrepancies between proteomes of healthy samples and cancerous samples. However, the high dimensionality of proteomics data coupled with small sample size poses a challenge. In this paper, we propose a framework using a hybrid logistic tree technique together with a feature selection technique to diagnose premalignant pancreatic cancer. We have validated our framework on a pancreatic cancer peptide mass spectrometry dataset. Satisfactory preliminary experimental results demonstrate the efficacy of our framework. 
Density-dependent growth as a key mechanism in the regulation of fish populations: evidence from among-population comparisons

It is generally assumed that fish populations are regulated primarily in the juvenile (pre–recruit) phase of the life cycle, although density dependence in growth and reproductive parameters within the recruited phase has been widely reported. Here we present evidence to suggest that density–dependent growth in the recruited phase is a key process in the regulation of many fish populations. We analyse 16 fish populations with long–term records of size–at–age and biomass data, and detect significant density–dependent growth in nine. Among–population comparisons show a close, inverse relationship between the estimated decline in asymptotic length per unit biomass density, and the long–term average biomass density of populations. A simple population model demonstrates that regulation by density–dependent growth alone is sufficient to generate the observed relationship. Density–dependent growth should be accounted for in fisheries' assessments, and the empirical relationship established here can provide indicative estimates of the density–dependent growth parameter where population–specific data are lacking.
Heterogeneity of Signal Transducer and Activator of Transcription Binding Sites in the Long-Terminal Repeats of Distinct HIV-1 Subtypes

HIV-1 can be subdivided into distinct subtypes; the consequences of such a genomic variability remain largely speculative. The long terminal repeats (LTR) control HIV transcription and reflect the major differences of distinct viral subtypes. Three regions in the HIV-1 subtype B LTR are close matches to the Signal Transducer and Activator of Transcription (STAT) consensus sequence. Here, we show heterogeneity in these putative STAT binding sites among HIV-1 LTR subtypes A through G. Transfection of constitutively activated STAT5 lead to transcriptional activation of HIV-1 expression in 293T cells transfected with a reporter assay driven by HIV-1 LTR subtype B. Constitutively activated STAT5 transactivated the LTR of various subtypes in U937 cells with different potency. These findings support and expand the potential relevance of STAT5 activation in HIV infection and may bear relevance for a differential regulation of latency and expression of different subtypes of HIV-1.
Correlates and Long-Term Outcomes of Angiographically Proven Stent Thrombosis With Sirolimus- and Paclitaxel-Eluting Stents

Background— Stent thrombosis (ST) is a serious complication of drug-eluting stent (DES) implantation regardless of the timing (acute, subacute, or late). The correlates of ST with DES are not yet completely elucidated. Methods and Results— From a total cohort of 2974 consecutive patients treated with DES since April 2003, we identified 38 patients who presented with angiographic evidence of ST (1.27%). The ST occurred acutely in 5 patients, subacutely (≤30 days) in 25 patients, and late (>30 days) in 8 patients. The clinical, angiographic, and procedural variables of these patients were compared with the remaining 2936 consecutive patients who underwent DES implantation and did not experience ST during a follow-up of 12 months. Logistic regression analysis was conducted to determine the correlates of ST. Compared with patients without ST, patients with ST had a higher frequency of diabetes, acute postprocedural renal failure, and chronic renal failure. There were more bifurcation lesions, type C lesions, and a trend for smaller-diameter stents. Discontinuation of clopidogrel was higher in these patients (36.8% versus 10.7%; P<0.0001). The mean duration to ST from the stent implantation was 8.9±8.5 days in subacute and 152.7±100.4 days in late thrombosis cases. Mortality was significantly higher in patients with ST compared with those without ST at 6 months (31% versus 3%; P<0.001). Multivariate analysis detected cessation of clopidogrel therapy, renal failure, bifurcation lesions, and in-stent restenosis as significant correlates of ST (P<0.05). Conclusions— ST continues to be a serious complication of contemporary DES use. Careful management is warranted in patients with renal failure and in those undergoing treatment for in-stent restenosis and bifurcations. Special focus on clopidogrel compliance may minimize the incidence of ST after DES implantation.
Control Oriented Direct Feedback Scheduling

The performance of multitasking control systems with resource constraints depends not only on controller design, but also on efficient scheduling of the shared computing resources. To support codesign of feedback control and real-time scheduling under overload conditions, a direct feedback scheduling approach is proposed. The goal is to optimize the overall system performance through dynamically allocating limited CPU time based on control requirements. A control application oriented task model is suggested, providing an interface between control performance and task scheduling decision. Based on this model, a novel scheduling algorithm intended for control tasks is presented. The overload condition is effectively handled using a job skipping scheme. Preliminary simulations exhibit the benefits of the proposed approach,