Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Model for Android Package Information and Its Application to Risk Analysis System

Android Package (APK) analysis is one of the basic processes for risk analysis of Androids. It requires huge amounts of APK files and related information to produce meaningful output, but individual organizations collecting and accumulating these in isolation is inefficient; collaborative accumulation of information is of greater help. This paper provides a data model for describing and exchanging information on APK files that can be used for analyzing their security risks. The model facilitates efficient exchange, sharing, and accumulation of such information. We then introduce a prototype implementation that accumulates and analyzes APK information and that visualizes security risks of the Android terminals to demonstrate the usability of the proposed data model. The paper discusses future directions of this work based on the prototype.
Comfort goal of care and end-of-life outcomes in dementia: A prospective study

Background: Many people with dementia die in a nursing home. A comfort care goal may be beneficial. Little research has examined the relationship between care goals and outcome. Aim: To investigate whether family satisfaction with end-of-life care and quality of dying is associated with whether or not dementia patients have a comfort goal shortly after admission. Design and setting: Prospective data collection from 28 long-term care facilities (the Dutch End of Life in Dementia study). We included 148 patients who died after prospective follow-up. Main outcomes were family satisfaction (End-of-Life in Dementia–Satisfaction with Care scale; range: 10–40) and quality of dying (End-of-Life in Dementia-Comfort Assessment in Dying; range: 14–42). We performed generalized estimating equations regression analyses to analyze whether these outcomes are associated with a comfort goal established shortly after admission compared with another or no care goal as reported by the physician. Results: Families of patients were more satisfied with end-of-life care when a comfort goal was established shortly after admission. We found this pattern only for patients who died within 6 months of admission (adjusted b: 4.5; confidence interval: 2.8, 6.3 vs −1.2; confidence interval: −3.0, 0.6 for longer stay). For quality of dying, no such association was found. Conclusion: We found that family satisfaction with care is related to a comfort care goal shortly after admission, but quality of dying did not. Establishing a comfort goal at an early stage may be important to the family. Advance care planning interventions should be studied for their effects on patient and family outcome.
De-lurking in virtual communities: a social communication network approach to measuring the effects of social and cultural capital

The asymmetry of activity in virtual communities is of great interest. While participation in the activities of virtual communities is crucial for a community's survival and development, many people prefer lurking, that is passive attention over active participation. Often, lurkers are the vast majority. There could be many reasons for lurking. Lurking can be measured and perhaps affected by both dispositional and situational variables. This project investigates social and cultural capital, situational antecedents of lurking and de-lurking. We propose a novel way of measuring such capital, lurking, and de-lurking. We try to figure out what are the triggers to active participation. We try to answer this by mathematically defining a social communication network of activities in authenticated discussion forums. Authenticated discussion forums provide exact log information about every participant's activities and allow us to identify lurkers that become first time posters. The proposed social communication network approach (SCN) is an extension of the traditional social network methodology to include, beyond human actors, discussion topics (e.g. Usenet newsgroups threads) and subjects of discussions (e.g. Usenet groups) as well. In addition, the social communication network approach distinguishes between READ and POST link types. These indicate active participation on the part of the human actor. We attempt to validate this model by examining the SCN using data collected in a sample of 82 online forums. By analyzing a graph structure of the network at moments of initial postings we verify several hypotheses about causes of de-lurking and provide some directions towards measuring active participation in virtual communities.
Thyroid Cancer and Nonsteroidal Anti-Inflammatory Drug Use: A Pooled Analysis of Patients Older Than 40 Years of Age.

BACKGROUND Cyclooxygenase (COX-2) has been associated with tumor growth and metastasis in several cancers, including thyroid cancer. For this reason, several investigators have studied COX-2 inhibitors in preclinical models of thyroid cancer and found antineoplastic effects. Thus, the primary aim of this study was to assess if the use of nonsteroidal anti-inflammatory drugs (NSAIDs) is associated with a reduced incidence of thyroid cancer. A second aim of the study was to determine additional risk or protective factors for thyroid cancer. METHODS Three large prospective population-based studies (the NIH-AARP Diet and Health Study; the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial; and the U.S. Radiologic Technologists Study) were pooled to investigate the association between self-reported frequency of aspirin and nonaspirin NSAID use one year prior to baseline (no use, ≤ 2/week, >2-6/week, and ≥ 7/week) and subsequent risk of thyroid cancer. A Cox regression proportional hazard model was used to estimate aggregated hazard ratios (HR) adjusted for cohort, sex, race/ethnicity, weight, smoking status, and alcohol intake. RESULTS There were 388,577 participants in the pooled cohort, with 481 cases of thyroid cancer. No significant risk reduction was observed with regular use of nonaspirin NSAIDs (HR = 1.14 [confidence interval (CI) 0.84-1.55]), and/or regular use of aspirin (HR = 1.06 [CI 0.82-1.39]). The multivariate regression analysis confirmed as previously reported in the literature that female sex, obesity class I (body mass index [BMI] = 30-34.99 kg/m(2)), and obesity class II (BMI = 35-35.99 kg/m(2)) were independently associated with an increased thyroid cancer risk. Current smoking status and moderate and excessive alcohol use were also confirmed as independent risk factors associated with a reduced thyroid cancer risk. CONCLUSIONS Neither nonaspirin NSAIDs nor aspirin use is associated with a reduced risk of thyroid cancer. Women and obesity are associated with an increased risk of thyroid cancer, whereas smoking and alcohol use are associated with decreased risk of thyroid cancer.
Sparse Super-Resolution with Space Matching Pursuits

Super-resolution image zooming is possible when the image has some geometric regularity. Directional interpo- lation algorithms are used in industry, with ad-hoc regularity measurements. Sparse signal decompositions in dictionaries of curvelets or bandlets find indirectly the directions of regularity by optimizing the sparsity. However, super-resolution interpolations in such dictionaries do not outperform cubic spline interpolations. It is necessary to further constraint the sparse representation, which is done through projections over structured vector spaces. A space matching pursuit algorithm is introduced to compute image decompositions over spaces of bandlets, from which a super-resolution image zooming is derived. Numerical experi- ments illustrate the efficiency of this super-resolution procedure compared to cubic spline interpolations. I. INTRODUCTION
MAPGEN : mixed initiative planning and scheduling for the Mars '03 MER mission

The Mars Exploration Rovers Mars '03 mission is one of NASA's most ambitious science missions to date. The rovers will be launched in the summer of 2003 with each rover carrying instruments to conduct remote and in-situ observation to elucidate the planet's past climate, water activity, and habitability. Science is the primary driver of MER and, as a consequence, making best use of the scientific instruments, within the available resources, is a crucial aspect of the mission. To address this critically, the MER project has selected MAPGEN (Mixed-Initiative Activity Plan GENerator) as an activity planning tool. MAPGEN combines two exiting systems, each with a strong heritage: APGEN the Activity Planning tool from the Jet Propulsion Laboratory and the Europs Planning/Scheduling system from NASA Ames Research Center. This paper discusses the issues arising from combining these tools in the context of this mission.
Agency and adaptive development in the transition from university to work: A longitudinal study

(How) can individuals bring about adaptive changes in their development themselves? Building on the action-phase model (Heckhausen, 1999) a 4-wave longitudinal study was conducted to investigate agency and adaptation in the transition from university to work. The sample consisted of 523 university graduates from four selected fields of study with favorable vs. unfavorable employment opportunities. Semi-structured interviews were conducted with 15 participants one year after graduation. Findings from latent growth curve modeling showed that individuals changed indeed after graduation and that individual agency predicted the direction of these changes. Specific motivational orientations (i.e., learning goals, goal self-concordance) predicted adaptive goal engagement, which in turn predicted subjective and psychological well-being as well as selected aspects of work adaptation. Most findings generalized across favorable vs. unfavorable employment contexts. The results are discussed referring to different theoretical frameworks, highlighting points of convergence with the qualitative findings and considering potential applications.
Clustering Uncertain Data Using Voronoi Diagrams

We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises the k-means algorithm to handle uncertain objects, is very inefficient. The inefficiency comes from the fact that UK-means computes expected distances (ED) between objects and cluster representatives. For arbitrary pdf's, expected distances are computed by numerical integrations, which are costly operations. We propose pruning techniques that are based on Voronoi diagrams to reduce the number of expected distance calculation. These techniques are analytically proven to be more effective than the basic bounding-box-based technique previous known in the literature. We conduct experiments to evaluate the effectiveness of our pruning techniques and to show that our techniques significantly outperform previous methods.
Comparing HLA Shared Epitopes in French Caucasian Patients with Scleroderma

Although many studies have analyzed HLA allele frequencies in several ethnic groups in patients with scleroderma (SSc), none has been done in French Caucasian patients and none has evaluated which one of the common amino acid sequences, 67FLEDR71, shared by HLA-DRB susceptibility alleles, or 71TRAELDT77, shared by HLA-DQB1 susceptibility alleles in SSc, was the most important to develop the disease. HLA-DRB and DQB typing was performed for a total of 468 healthy controls and 282 patients with SSc allowing FLEDR and TRAELDT analyses. Results were stratified according to patient’s clinical subtypes and autoantibody status. Moreover, standardized HLA-DRß1 and DRß5 reverse transcriptase Taqman PCR assays were developed to quantify ß1 and ß5 mRNA in 20 subjects with HLA-DRB1*15 and/or DRB1*11 haplotypes. FLEDR motif is highly associated with diffuse SSc (χ2 = 28.4, p<10−6) and with anti-topoisomerase antibody (ATA) production (χ2 = 43.9, p<10−9) whereas TRAELDT association is weaker in both subgroups (χ2 = 7.2, p = 0.027 and χ2 = 14.6, p = 0.0007 respectively). Moreover, FLEDR motif- association among patients with diffuse SSc remains significant only in ATA subgroup. The risk to develop ATA positive SSc is higher with double dose FLEDR than single dose with respectively, adjusted standardised residuals of 5.1 and 2.6. The increase in FLEDR motif is mostly due to the higher frequency of HLA-DRB1*11 and DRB1*15 haplotypes. Furthermore, FLEDR is always carried by the most abundantly expressed ß chain: ß1 in HLA DRB1*11 haplotypes and ß5 in HLA-DRB1*15 haplotypes. In French Caucasian patients with SSc, FLEDR is the main presenting motif influencing ATA production in dcSSc. These results open a new field of potential therapeutic applications to interact with the FLEDR peptide binding groove and prevent ATA production, a hallmark of severity in SSc.
WAP: A Novel Automatic Test Generation Technique Based on Moth Flame Optimization

In this work, we present a novel technique forautomatic test data generation that generates the whole test suitein a single run. The novelty of our proposed technique lies mainlyin (i) using Moth Flame Optimization (MFO) algorithm for thefirst time in automatic test generation, and (ii) introducing theuse of a generic objective function that is independent of themethod under test (MUT). The proposed objective functiondynamically evaluates the fitness of each solution, i.e. test case, with respect to the so-formed test suite, based on the effectivenessof adding this test case to the currently formed test suite. Thisdynamic approach replaces the use of a static fitness functionthat evaluates the fitness of each solution independently of othersolutions. The proposed technique tries to find small-sized testsuite with maximum coverage by iteratively eliminating test casesthat do not contribute to the overall coverage of the test suite. The results show that our technique is better than the randomgenerator with improvement up to two orders of magnitude. Italso outperforms Genetic Algorithm (GA) in four out of fivebenchmark methods achieving improvements between 74% and 83% in the number of generated test cases.
THE VELA CLOUD: A GIANT H i ANOMALY IN THE NGC 3256 GROUP

We present Australia Telescope Compact Array (ATCA) observations of a galaxy-sized intergalactic H i cloud (“the Vela Cloud”) in the NGC 3256 galaxy group. The group contains the prominent merging galaxy NGC 3256, which is surrounded by a number of H i fragments, the tidally disturbed galaxy NGC 3263, and several other peculiar galaxies. The Vela Cloud, with an H i mass of 3–5 , resides southeast of NGC 3256 and west of NGC 3263, within an area of 9′ × 16′ (100 kpc × 175 kpc for an adopted distance of 38 Mpc). In our ATCA data the Vela Cloud appears as three diffuse components and contains four density enhancements. The Vela Cloud's properties, together with its group environment, suggest that it has a tidal origin. Each density enhancement contains of H i gas, which is sufficient material for the formation of globular cluster progenitors. However, if we represent the enhancements as Bonnor–Ebert spheres, then the pressure of the surrounding H i would need to increase by at least a factor of 9 in order to cause the collapse of an enhancement. Thus we do not expect them to form massive bound stellar systems like super star clusters or tidal dwarf galaxies. Since the H i density enhancements have some properties in common with high-velocity clouds, we explore whether they may evolve to be identified with these starless clouds instead.
Performance of 1xEV-DO third-generation wireless high-speed data systems

Wireless high-speed data systems based on 1xEV-DO have recently been deployed commercially and in field trials. In this paper, the emphasis is placed on the validation of the simulated forward link system-level performance through comparison with field data. High spectrum efficiency observed both in simulations and in the field is explained by the salient features of 1xEV-DO that make it suitable for data communications in a cellular mobile environment. These features include, among others, the long-range channel estimation and rate prediction, incremental redundancy hybrid automatic request control (ARQ), turbo coding, and scheduling that exploits multi-user diversity in a fast fading environment. The paper also addresses the reverse link performance and the practical system constraints imposed by the signaling overhead necessary to support high throughput on the forward link.
Using geometric primitives to calibrate traffic scenes

In this paper, we address the problem of recovering the intrinsic and extrinsic parameters of a camera or a group of cameras in a setting overlooking a traffic scene. Unlike many other settings, conventional camera calibration techniques are not applicable in this case. We present a method that uses certain geometric primitives commonly found in traffic scenes in order to recover calibration parameters. These primitives provide needed redundancy and are weighted depending on the significance of there corresponding image features. We show experimentally that these primitives are capable of achieving accurate results suitable for most traffic monitoring applications.
Measurements of Envelope Frequency Dependent Nonlinearity in GaN HEMT Power Device

This paper proposes a measurement setup for analyzing and measuring the nonlinearity and memory effects in active power device as well as power amplifier (PA). In order to reduce the memory effect in the measurement data, new dynamic measurement setup with combination of two bias tees is developed for realizing short termination at envelope frequencies. Furthermore, for full automatic control of the measurement setup, controlling software using Agilent VEE programming software is developed. Moreover, measurement of envelope frequency dependent nonlinearity in GaN HEMT power device is presented
How Can I Describe The Social Studies Curriculum? A Case Study

Main function of the schools is to contribute individuals to internalize the culture in which they live as efficient citizens. Main objective of the social studies courses contained in the curriculum of primary schools is to contribute individuals to become a member of the society in which they live. In order to achieve such a contribution, teachers should definitely have a comprehensive perspective for the curriculum of social studies. In addition, the perceptions of the teachers about the nature of these courses are also important since individuals generally form their behaviors based on their perceptions. In this perspective, the objective of this study is to determine opinions of a classroom teacher instructing in a village school with multi-grade class about the nature of social studies courses, the structure of social studies curriculum, and teaching process regarding social studies. Based on the results of the study, it is seen that the teacher instructing in a village school with multi-grade class significantly pays attention to social studies curriculum and teacher’s guidebook and it is emphasized that the social studies curriculum implemented in schools in rural regions should be adapted in accordance with environmental conditions whereas the curriculum should be provided as a framework and it should enable the teacher to have more functional roles in designing the curriculum.
Localization using varying anchor range in randomly distributed wireless sensor network

Finding location in wireless sensor network (WSN) is a basic and crucial issue because sensed data without location information is useless. Mainly localization algorithms can be categorized into two classes: range-free and range-based. Range-free algorithms are more cost-effective than range based schemes; an additional ranging hardware is needed in range based algorithms. In this paper, we present a distributed range free localization algorithm: Varying Anchor Range Half Normal (VARHN) for WSN, in that connectivity, varying anchor ranges and method of half normal are used for providing a low estimated error than other range free algorithms. In VARHN algorithm, anchor nodes transmit beacon signals in the whole network at different range levels, which make multiple rings and circles of transmission ranges of anchors. The principle of half normal is used for estimating the position of unknown nodes. VARHN is also energy efficient because it doesn't need information exchange between nodes. Simulation results show that the proposed algorithm has more accuracy than Centroid, Weighted Centroid Localization (WCL) and Convex Position Estimation (CPE) localization algorithms.
Refinements of Pinsker's inequality

Let V and D denote, respectively, total variation and divergence. We study lower bounds of D with V fixed. The theoretically best (i.e., largest) lower bound determines a function L=L(V), Vajda's (1970) tight lower bound. The main result is an exact parametrization of L. This leads to Taylor polynomials which are lower bounds for L, and thereby to extensions of the classical Pinsker (1960) inequality which has numerous applications, cf. Pinsker and followers.
Query Rewriting Using Monolingual Statistical Machine Translation

Long queries often suffer from low recall in Web search due to conjunctive term matching. The chances of matching words in relevant documents can be increased by rewriting query terms into new terms with similar statistical properties. We present a comparison of approaches that deploy user query logs to learn rewrites of query terms into terms from the document space. We show that the best results are achieved by adopting the perspective of bridging the “lexical chasm” between queries and documents by translating from a source language of user queries into a target language of Web documents. We train a state-of-the-art statistical machine translation model on query-snippet pairs from user query logs, and extract expansion terms from the query rewrites produced by the monolingual translation system. We show in an extrinsic evaluation in a real-world Web search task that the combination of a query-to-snippet translation model with a query language model achieves improved contextual query expansion compared to a state-of-the-art query expansion model that is trained on the same query log data.
The relation between protocols and games

Both, games in a game theoretic sense and protocols in an informational sense describe rule based interactions between systems. Some similarities and differ- ences of both approaches are explored and illustrated with the example of the well known game tic tac toe. The main thesis of this article can be roughly states as "protocols, enriched by de- cisions are games without payoff evaluation". Introducing decisions as an additional input alphabet to determine the usually nondeterministic transition relation of a proto- col leads to a classification of decisions as being either spontaneous (or inducing) or selection decisions. Relating protocols and games, the complementarity of the focus of current game theory and informatics becomes better visible: the focus of current game theory to find distinguished strategies within single interactions requires the introduction of some often quite arbitrary payoff function for optimization purposes. The focus of current informatics to solve the coordination problem for finite systems, that is to determine the nondeterminacies of single interactions by other interactions may contribute to an inappropriate disregard of the decision and thereby the strategy concept of game theory.