Miracle-dz/UniFAR-FTUs huggingface dataset:
WaterFowl, a Compact, Self-indexed RDF Store with Inference-enabled Dictionaries

In this paper, we present a novel approach { called WaterFowl { for the storage of RDF triples that addresses some key issues in the contexts of big data and the Semantic Web. The architecture of our prototype, largely based on the use of succinct data structures, enables the representation of triples in a self-indexed, compact manner without requiring decompression at query answering time. Moreover, it is adapted to eciently support RDF and RDFS entailment regimes thanks to an optimized encoding of ontology concepts and properties that does not require a complete inference materialization or extensive query rewriting algorithms. This approach implies to make a distinction between the terminological and the assertional components of the knowledge base early in the process of data preparation, i:e:, preprocessing the data before storing it in our structures. The paper describes the complete architecture of this system and presents some preliminary results obtained from evaluations conducted on our rst prototype.
Early Breast Cancer Tumor Detection on Mammogram Images

This paper describes a system that enhances the mammogram to detect the possible lesion or tumor. First the pre-processing task is performed on the mammogram. The pre-processing phase has been sub divided into 4 parts to get the Region of interest and remove the external factors that affect the system in obtaining the possible lesion. Then the segmentation process is performed on the mammogram to get only those portions of the image which are greater than a particular predefined threshold value. After segmentation the edge detection process is performed on this segmented mammogram to display edges over masses. Morphological filtering is done to get masses highlighted with a border. Out of these masses the maximum probable mass that could be a lesion/tumor is highlighted. Finally this mass detected clear border mammogram image is superimposed over the original mammogram to enhance the mass from the mammogram.
QoS-Based and Secure Multipath Routing in Wireless Sensor Networks

With the growing demand for quality of service (QoS) aware routing protocols in wireless networks, QoS-based routing has emerged as an interesting research topic. A QoS guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. Furthermore, due to the increased use of sensor nodes in a variety of application fields, WSNs need to handle heterogeneous traffic with diverse priorities to achieve the required QoS. In this thesis, we investigate the problem of providing multi-QoS in routing protocols for WSNs. In particular, we investigate several aspects related to the application requirements and the network states and resources. We present multi-objective QoS aware routing protocol for WSNs that uses the geographic routing mechanism combined with the QoS requirements to meet diverse application requirements by considering the changing conditions of the network. The protocol formulates the application requirements with the links available resources and conditions to design heuristic neighbor discovery algorithms. Also, with the unlimited resource at the sink node, the process of selecting the routing path/paths is assigned to the sink. Paths selection algorithms are designed with various goals in order to extend network lifetime, enhance the reliability of data transmission, decrease end-to-end delay, achieve load balancing and provide fault tolerance. We also develop a cross-layer routing protocol that combines routing at network layer and the time scheduling at the MAC layer with respect to delay and reliability in an energy efficient way. A node-disjoint multipath routing is used and a QoS-aware priority scheduling considering MAC layer is proposed to ensure that real time and non-real time traffic achieve their desired QoS while alleviating congestion in the network. Additionally, we propose new mechanism for secure and reliable data transmission in multipath routing for WSNs. Different levels of security requirements are defined and depending on these requirements, a selective encryption scheme is introduced to encrypt selected number of coded fragments in order to enhance security and thereby reduce the time required for encryption. Node-disjoint multipath routing combined with source coding is used in order to enhance both security and reliability of data transmission. Also, we develop an allocation strategy that allocates fragments on paths to enhance both the security and probability of successful data delivery. Analysis and extensive simulation are conducted to study the performance of all the above proposed protocols.
MATS : A Model-Driven Adaptive Tuning System for Parallel Workloads

Building software that can effectively utilize underlying hardware resources has been a perennial challenge for the high-performance computing community. In recent years, the HPC community has responded to this challenge by creating adaptive compilation systems that allow domain experts to automatically tune their code to different architectures; thus relieving some of the burden of manual re- targeting of code. Although autotuning of applications holds great promise, the enormity and complexity of the optimization search space and the associated long tuning times, coupled with the emergence of multicore and manycore architectures pose significant challenges in its acceptance as a viable alternative to manual performance tuning. This paper describes the design and implementation of a model-driven, extensible autotuning framework that addresses current challenges in automatic performance tuning. The novel contributions of this framework include a mechanism for exposing tunable parameters for parallelism; a model-based search space pruning strategy based on the notion of tolerance values and the integration of multi-level code transformations within a single unified framework. With experimental evaluation on four different platforms, we demonstrate how these elements come together and facilitate efficient exploration of the multi - dimensional search space to obtain integer factor performance improvements on a range of scientific and engineering parallel applications.
DEVELOPMENT AND PRELIMINARY FEASIBILITY OF THE MOBILE PARTICIPATION ASSESSMENT TOOL: AN ECOLOGICAL MOMENTARY ASSESSMENT OF PARTICIPATION IN TRAUMATIC BRAIN INJURY

Participation as a primary outcome of interest has gained increasing focus for disability and rehabilitation research and practice. Current means of assessing participation are limited by their static nature and reliance on an individual’s accurate and unbiased recall of past events. In particular, participation is an important outcome in traumatic brain injury (TBI) research and practice, and for these individuals accurate and unbiased recall can be impacted by the functional limitations that are commonly associated with this injury. Ecological momentary assessment (EMA) is an assessment approach that employs the repeated measurement of an outcome of interests in the natural, real-world environment. EMA may reduce the limitations of current measures of participation as well as enhance reporting accuracy and reliability of individuals with a history of TBI. The main objectives of this dissertation were to 1) develop a preliminary measure of participation that can be delivered using EMA techniques and 2) examine the feasibility and usability of EMA in a TBI population that exhibits cognitive impairment. The first aim of this study was the preliminary development of a participation assessment that could be delivered via EMA techniques. The Mobile Participation Assessment Tool (mPAT) was developed and underwent preliminary validation by the research team in conjunction with a group of experts in the field of rehabilitation and disability sciences and individuals with a history of TBI. An accompanying scoring algorithm was also developed by the group. The second aim of examining the feasibility of using EMA techniques to assess participation in community dwelling adults with TBI and presence of cognitive impairment was completed by asking adults with TBI (n=12) to complete a four week EMA protocol to assess participation in the real-world environment in which they live. This study was funded in part through the School of Health & Rehabilitation Sciences’ Dean’s Research Development Fund at the University of Pittsburgh.
Comparative Study of Supervised Learning Methods for Malware Analysis

Malware is a software designed to disrupt or even damage computer system or do other unwanted actions. Nowadays, malware is a common threat of the World Wide Web. Anti-malware protection and intrusion detection can be significantly supported by a comprehensive and extensive analysis of data on the Web. The aim of such analysis is a classification of the collected data into two sets, i.e., normal and malicious data. In this paper the authors investigate the use of three supervised learning methods for data mining to support the malware detection. The results of applications of Support Vector Machine, Naive Bayes and k-Nearest Neighbors techniques to classification of the data taken from devices located in many units, organizations and monitoring systems serviced by CERT Poland are described. The performance of all methods is compared and discussed. The results of performed experiments show that the supervised learning algorithms method can be successfully used to computer data analysis, and can support computer emergency response teams in threats detection. Keywords—data classification, k-Nearest Neighbors, malware analysis, Naive Bayes, Support Vector Machine.
Developmental trajectories of symptom severity and adaptive functioning in an inception cohort of preschool children with autism spectrum disorder.

IMPORTANCE Symptom severity and adaptive functioning are fundamental domains of the autism spectrum disorder (ASD) phenotype. To date, the longitudinal association between these 2 domains has not been examined. OBJECTIVE To describe the developmental trajectories of autistic symptom severity and adaptive functioning in a large inception cohort of preschool children with ASD. DESIGN, SETTING, AND PARTICIPANTS The sample consisted of 421 newly diagnosed preschool children with ASD 2 to 4 years old (355 boys; mean age at study enrollment, 39.87 months) participating in a large Canadian multisite longitudinal study (Pathways in ASD Study). Prospective data collected at 4 points from time of diagnosis to age 6 years were used to track the developmental trajectories of children. MAIN OUTCOMES AND MEASURES Autistic symptom severity was indexed using the Autism Diagnostic Observation Schedule. Adaptive functioning was indexed using the Vineland Adaptive Behavior Scales, Second Edition. RESULTS Two distinct trajectory groups provided the best fit to the autistic symptom severity data. Group 1 (11.4% of the sample) had less severe symptoms and an improving trajectory (P < .05), whereas group 2 (88.6% of the sample) had more severe symptoms and a stable trajectory. Three distinct trajectory groups provided the best fit to the adaptive functioning data. Group 1 (29.2% of the sample) showed lower functioning and a worsening trajectory, group 2 (49.9% of the sample) had moderate functioning and a stable trajectory, and group 3 (20.9% of the sample) had higher functioning and an improving trajectory (P < .05). Cross-trajectory overlap between the autistic symptom severity and adaptive functioning groups was low (φ = 0.13, P < .05). Sex was a significant predictor of autistic symptom severity group membership and age at diagnosis, and language and cognitive scores at baseline predicted membership in adaptive functioning trajectories. Trajectories of both symptom severity and adaptive functioning predicted several different outcomes at age 6 years. CONCLUSIONS AND RELEVANCE Findings confirm the heterogeneous nature of developmental trajectories in ASD. Change in adaptive functioning suggests that improvement is possible in roughly 20% of the sample. Autistic symptom severity appears to be more stable, with roughly 11% of the sample showing a marked decrease in symptom severity. During the preschool years, there appears to be only a small amount of "yoking" of developmental trajectories in autistic symptom severity and adaptive functioning. It is imperative that a flexible suite of interventions that target both autistic symptom severity and adaptive functioning should be implemented and tailored to each child's strengths and difficulties.
Deciphering the Role of RND Efflux Transporters in Burkholderia cenocepacia

Burkholderia cenocepacia J2315 is representative of a highly problematic group of cystic fibrosis (CF) pathogens. Eradication of B. cenocepacia is very difficult with the antimicrobial therapy being ineffective due to its high resistance to clinically relevant antimicrobial agents and disinfectants. RND (Resistance-Nodulation-Cell Division) efflux pumps are known to be among the mediators of multidrug resistance in Gram-negative bacteria. Since the significance of the 16 RND efflux systems present in B. cenocepacia (named RND-1 to -16) has been only partially determined, the aim of this work was to analyze mutants of B. cenocepacia strain J2315 impaired in RND-4 and RND-9 efflux systems, and assess their role in the efflux of toxic compounds. The transcriptomes of mutants deleted individually in RND-4 and RND-9 (named D4 and D9), and a double-mutant in both efflux pumps (named D4-D9), were compared to that of the wild-type B. cenocepacia using microarray analysis. Microarray data were confirmed by qRT-PCR, phenotypic experiments, and by Phenotype MicroArray analysis. The data revealed that RND-4 made a significant contribution to the antibiotic resistance of B. cenocepacia, whereas RND-9 was only marginally involved in this process. Moreover, the double mutant D4-D9 showed a phenotype and an expression profile similar to D4. The microarray data showed that motility and chemotaxis-related genes appeared to be up-regulated in both D4 and D4–D9 strains. In contrast, these gene sets were down-regulated or expressed at levels similar to J2315 in the D9 mutant. Biofilm production was enhanced in all mutants. Overall, these results indicate that in B. cenocepacia RND pumps play a wider role than just in drug resistance, influencing additional phenotypic traits important for pathogenesis.
The rite way: Integrating emotion and rationality in religious participation

This article employs a most-similar case study of two congregations in order to explore the organizational features of congregations that impact religious participation. The congregations were as similar as possible in terms of theology, organizational history, denominational affiliation, market location, and adherent demographics. However, they differed in one key aspect: one was thriving and the other declining. Two key organizational features emerged through field research and subsequent analysis: differential provision of selective incentives and variation in emotional energy through the use of rituals. These findings are considered both for what they add to the understanding of religious participation in Mainline Protestant congregations, as well as a possible way forward to integrating approaches to religious participation that have differing micro-foundations.
A generic 3D model for automated building roof reconstruction

This paper investigates into model-based reconstruction of complex polyhedral building roofs. A roof is modelled as a structured ensemble of planar polygonal faces. The modelling is done in two different regimes. One focuses on geometry, whereas the other is ruled by semantics. Inside the geometric regime, which is the primary topic of this paper, 3D line segments are grouped into planes and further into faces using a Bayesian analysis. In the second regime, the preliminary geometric models are subject to a semantic interpretation. It is shown, how the knowledge gained in this step can be used to infer missing parts of the roof model (by invoking the geometric regime once more) and to adjust the overall roof topology. Several successfully reconstructed complex roof structures corroborate the potential of the approach.
MAX-DOAS measurements in southern China: 1. automated aerosol profile retrieval using oxygen dimers absorptions

MAX-DOAS measurements in southern China: 1. automated aerosol profile retrieval using oxygen dimers absorptions X. Li, T. Brauers, M. Shao, R. M. Garland, T. Wagner, T. Deutschmann, and A. Wahner College of Environmental Sciences and Engineering, Peking University, Beijing, China Institute for Chemistry and Dynamics of the Geosphere (ICG-2), Forschungszentrum Jülich, Germany Biogeochemistry Department, Max Planck Institute for Chemistry, Mainz, Germany Satellite Group, Max Planck Institute for Chemistry, Mainz, Germany Institute for Environmental Physics, Universität Heidelberg , Heidelberg, Germany Received: 25 July 2008 – Accepted: 22 August 2008 – Published: 29 September 2008 Correspondence to: T. Brauers (th.brauers@fz-juelich.de) Published by Copernicus Publications on behalf of the European Geosciences Union.
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features

We examine different features and classifiers for the categorization of opinion words into actor and speaker view. To our knowledge, this is the first comprehensive work to address sentiment views on the word level taking into consideration opinion verbs, nouns and adjectives. We consider many high-level features requiring only few labeled training data. A detailed feature analysis produces linguistic insights into the nature of sentiment views. We also examine how far global constraints between different opinion words help to increase classification performance. Finally, we show that our (prior) word-level annotation correlates with contextual sentiment views.
MATERNAL NON-DISCLOSURE OF A CHILDâ€™S BIOLOGICAL FATHER: METHODOLOGICAL REFLECTIONS FROM A JOHANNESBURG STUDY

Due to a dearth of research on mothers who have not disclosed the true biological identity of fathers to their children, there is lack of information on suitable methods for studying this topic. This article aims to share some methodological experiences from the field. Eight one-on-one narrative interviews were conducted with participants who were mothers or female guardians of a child who did not know his or her biological father. The study was located in Johannesburg and explored circumstances that contributed to non-disclosure of a biological father. Participants were recruited through snowballing and were a non-probability sample. They were aged between 33 and 60 years. Each participant was interviewed once. Methodological reflections reported here cover recruitment, interviews and ethics. This article reports a challenge with recruiting middle-class participants when gatekeepers felt that the topic was sensitive and may have legal repercussions for participants. We report on successful recruitment via online platforms and face-to-face community-based announcements. Whilst the response to recruitment was vast, not all interested parties were eligible, including men who did not know their fathers. Women in this study mainly opted for one-on-one interviews instead of focus group discussions. There was a challenge with maintaining complete privacy as some participants themselves agreedto have other family members nearby during the interview. Also, working in this community posed challenges with obtaining member-checking and receiving feedback on the transcripts. This article reports on a number of experiences that are relevant for future similar studies with women in low-income settings. The article suggests an adoption of gender-sensitive recruitment strategies with sensitivity regarding the gendered social gaze that is directed at women who have not disclosed the fatherâ€™s identity to a child. The positive response from prospective participants indicated willingness from the general population to talk to researchers about unknown fathers. Ethical imperatives such as auditory and visual privacy and the imperative to conduct member checking need to be adapted for local contexts.
Chiral Condensates in Finite Density Holographic NJL Model from String Worldsheets

We calculate the one-point function of certain chiral operators, known as open Wilson lines, in the holographic Nambu-Jona-Lasinio (NJL) model at finite temperature as well as finite chemical potential for quark (baryon) number density. These operators are holographically dual to Euclidean string worldsheets bounded by the flavor branes. Their one-point functions can serve as order parameters for chiral symmetry breaking in these models. Analyzing the behavior of the dual string worldsheets with respect to temperature and chemical potential (or quark density) enables us to determine how the order parameter depends on these parameters.
A Proposed Hybrid OCR System for Arabic and Indian Numerical Postal Codes

Arabic text recognition offers unique technical challenges and has been addressed more recently in the document analysis research field than other languages. Automatic Arabic/Indian numeral Optical Character Recognition (OCR) system for postal services are used in many countries, but still there are problems in such systems where machines still provide errors in reading the crucial information needed to distribute the mail efficiently. The need to investigate fast and efficient recognition methods is important so as to correctly read the postal codes from mail envelopes. The significance of this study is to recognize essential information, e.g., postal codes from the mail envelopes, by applying the OCR methods. The proposed system is a hybrid of three different feature extraction methods and classification methods. The proposed system, systematically compares the performance of each and every method, and makes sure that the numeral is recognized or rejected. The results provide a recognition rate of 99.4%.
Directional channel characteristics in elevation and azimuth at an urban macrocell base station

The objective of this paper is to improve the knowledge on directional channel characteristics at the base station, particularly concerning elevation. For this purpose a channel measurement campaign has been performed. A powerful new method for super-resolution channel estimation has been used to get a detailed picture of the directional characteristics of the channel. This has further led to improved knowledge of when processes like diffraction over rooftops and/or specular reflections are important. The findings herein have been incorporated into a model for the elevation angle dispersion which is proposed as an extension to some commonly used directional channel models such as the ITU-IMT-Advanced model.