Miracle-dz/UniFAR-FTUs huggingface dataset:
INTERNALS OF AN AGGREGATED WEB NEWS FEED

We present IJS NewsFeed, a pipeline for acquiring a clean, continuous, real-time aggregated stream of publically available news articles from web sites across the world. The articles are stripped of the web page chrome and semantically enriched to include e.g. a list of entities appearing in each article. The results are cached and distributed in an efficient manner.
SCALING ONTOLOGY ALIGNMENT

As ontologies become more prevalent in biomedicine and other fields, effective ontology alignment is a necessary for their economical and practical use. An ontology is a group of concepts derived from a corpus of knowledge. Ontology alignment determines the relationships between these concepts across different ontologies. Therefore ontology alignment is an area of active research, especially scaling ontology alignment, as the number and size of ontologies increases dramatically. This thesis describes an approach and implementation of ontology alignment called Parallel Ontology Bridge, which maintains good alignment quality while increasing scalability and speed of ontology alignment by matching linguistic and structural features in a support vector machine. This approach is based on Ontology Bridge [1] and provides the same advantages. It is able to handle non-equivalence relationships very effectively and is a general approach to ontology alignment that can be used across many domains. Parallel Ontology Bridge increases scalability by using map-reduce, an approach to breaking down problems and running them in parallel. This thesis describes how this is done. Parallel Ontology Bridge is almost two orders of magnitude faster than Ontology Bridge and shows very good scalability while maintaining quality as measured through F-Measure. The results of Parallel Ontology Bridge are compared against several other scalability approaches, both with experimental data and theoretical maximum scalability. Parallel Ontology Bridge is significantly more scalable in the experimental data and maintains this advantage during theoretical analysis.
STRAIN DEPENDENT IMPEDANCE IN SHALLOW FOUNDATIONS

1 Professor of Soil Mechanics, Univ. of Catania, Viale Andrea Doria 6, 95125 Catania, Italy, mmaugeri@isfa.ing. unict.it 2 Ph.D. of Geotechnical Eng, Univ. of Catania, Viale Andrea Doria 6, 95125 Catania, Italy, sar@mail.pandorasicilia. it 3 Full Professor of Soil Mechanics,Univ of Catania, Viale Andrea Doria 6, 95125 Catania, Italy, mmaugeri@isfa.ing. unict.it STRAIN DEPENDENT IMPEDANCE IN SHALLOW FOUNDATIONS
Synthetic graph generation for data-intensive HPC benchmarking: Scalability, analysis and real-world application

The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allows the emulation of a broad spectrum of application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report described the in-depth analysis of the generated synthetic graphs’ properties at a variety of scales using different generator implementations and examines their applicability to replicating real world datasets.
THE EFFECT OF FOCUS OF ATTENTION IN IMAGERY ON THE STATIC BALANCE OF YOUNG GIRLS

The purpose of this research was exploring the effect of focus of attention in imagery on the static balance of young girls. The participants included 30 female students of Al-Zahra University, with average age of 23/65 (± 3/07). Based on the results of the VMIQ-2 questionnaire, all participants had powerful imagery ability and voluntarily underwent a pretest-posttest research design for randomly assigned groups. The participants were randomly placed in two groups of internal focus of attention in internal imagery and external focus of attention in external imagery. The Sway Index of the participants in pretest, was measured by the Stabilometer. Then, each participant was engaged in a one-minute imagery task, based on the guidelines of the relevant group; following that, the 30-seconds test of static balance was repeated. The two-way repeated measures analysis of variance was measured at p<0/05. According to the results, the main effect of the group on the balance was not significant, however the effect of test on the balance was significant. Furthermore, the study findings suggested that there is not a significant reciprocal effect between the test and the group. The outcomes also supported that the type of the imagery and the focus of attention do not influence the static balance of young girls.
Depth estimation of face images

In this paper, we propose an efficient algorithm to reconstruct the 3D structure of a human face from one or more of its 2D images with different poses. In our algorithm, the nonlinear least-squares model is first employed to estimate the depth values of facial feature points and the pose of the 2D face image concerned by means of the similarity transform. Furthermore, different optimization schemes are presented with regard to the accuracy levels and the training time required. Our algorithm also embeds the symmetrical property of the human face into the optimization procedure, in order to alleviate the sensitivities arising from changes in pose. In addition, the regularization term, based on linear correlation, is added in the objective function to improve the estimation accuracy of the 3D structure. Further, a model-integration method is proposed to improve the depth-estimation accuracy when multiple non frontal view face images are available. Experimental results on the 2D and 3D databases demonstrate the feasibility and efficiency of the proposed methods. Index Terms: 3D face reconstruction, face recognition, nonlinear least-squares model.
Contextualizing Power in a Collaborative Design Project

Power relations are a major concern in participatory design (PD). We explore how power relations are played out in a commercial collaborative design project that has not been influenced by PD techniques or interests. The case reconfirms many of the underlying principles of PD in handling power. At the same time, our Foucault-inspired analysis of the contextual dynamics and hidden power structures in user practices suggests certain extensions and improvements to the analysis of power relationships in PD projects.
TECHNIQUES IN ENHANCING COMMUNITY-BASED ALTERNATIVES TO INCARCERATION — A EUROPEAN PERSPECTIVE

The techniques in enhancing community-based alternatives to incarceration are often divided into “front door policies” and “back door policies”. Another way would be to distinguish measures to be applied (1) before, (2) during and (3) after the court proceedings. This presentation follows the latter logic, however, with some reservations: Firstly, measures which have similar names may be placed in different phases in different jurisdictions (for example community service). Secondly, many of the newly developed community sanctions fail to follow the logic of these three phases, because they can be applied either before, during or after the trial (for example restitution).
Quantifying morphological variation in the Castilleja pilosa species complex (Orobanchaceae)

Robustly delimited species are of paramount importance, the identification of which relies on our ability to discern boundaries between one species and the next. This is not difficult to do when species are very distinct from one another. However, in recently evolved lineages where putative species may have relatively few diagnostic features (e.g., species complexes composed of very similar species, the boundaries between which are often unclear), defining species boundaries can be more challenging. Hence, the field of species delimitation has widely advocated the use of multiple lines of evidence to delimit species, particularly in species complexes. Excessive taxonomic confusion, often the result of species descriptions that shift through time (e.g., during revisionary work and regional treatments), can further complicate the search for diagnostic features in species complexes. Here, as a first step in robustly delimiting species boundaries, we quantify and describe morphological variation in the Castilleja pilosa species complex. We first infer the morphospace of the species complex and use fuzzy-clustering techniques to explore the morphological variation in the system. Next, we hypothesize the position of type specimens within that morphospace. In so doing, we aim to visualize the impact that regional treatments have had on the conceptualization of taxa through time. We find that there is limited morphological variation among members of this complex, and we determine that the morphological concept of these species have shifted through time and are no longer accurately represented by species descriptions.
Long-Term Impact of Toxoplasma gondii Infection on Human Monocytes

Toxoplasma gondii is a prevalent parasite of mammals and birds including up to 30% of humans world-wide. Primary infection of immunocompetent hosts leads to a robust cell-mediated immune response, which controls but does not clear the infection, thus enabling long-term parasite persistence in brain and muscle tissues. Chronic toxoplasmosis in mice is associated with resistance to heterologous pathogens and this has been related to increased numbers of inflammatory monocytes. Here we have analyzed whether chronic T. gondii infection impacts the subset distribution and the phenotype of peripheral human monocytes in vivo and their responses to parasite infection in vitro. CD14+ monocytes from T. gondii-seropositive blood donors expressed significantly less FcγRIII (CD16) than those from seronegative controls, but they did not show a shift in the distribution of classical, intermediate and non-classical monocyte subpopulations. Percentages of CD62L+ and CD64+ monocytes were however decreased and increased, respectively, in chronically infected individuals as compared to naïve controls. Infection of monocyte-enriched PBMCs from both seropositive and seronegative individuals with T. gondii led to an increase of CD14+CD16− classical monocytes and a decrease of CD14+CD16+ double positive monocytes. Remarkably, after in vitro parasite infection, expression of the chemokine receptor CCR2 was severely impaired in monocytes from both, individuals with chronic toxoplasmosis and seronegative controls. In contrast, only monocytes from chronically infected humans but not those from controls dose-dependently up-regulated HLA-DR, DP, DQ expression following in vitro infection. Furthermore, monocyte-enriched PBMCs from seropositive individuals up-regulated IL-12 mRNA more vigorously after in vitro infection than cells from naïve controls. Collectively, our results establish that infection of humans with T. gondii exerts long-term effects on the phenotype and responsiveness of blood monocytes. This may have important implications for innate immune responses to T. gondii and unrelated pathogens.
MODELING THE MELT POOL OF THE LASER SINTERED TI6AL4V LAYERS WITH GOLDAK’S DOUBLE-ELLIPSOIDAL HEAT SOURCE

Selective laser melting process has been widely studied to elucidate the effects of process parameters (laser speed, laser power, scan strategy, hatch distance, layer thickness, etc.) on the manufactured parts. Experimental and numerical modeling studies have been investigating the melt pool shapes of the laser sintered layers to correlate the melt pool geometry with the part quality. Although modeling results agree with the experiments, the melt pool cross-section may form key holing rather than semi-circular shape due to Marangoni effect, recoil pressure, and sudden evaporation for some process parameters combinations. To accurately model the melt pool depth, this study proposes a finite element analysis (FEA) model that simulates the laser source as the Goldak’s double-ellipsoidal heat power density model. Single bead experiments of Ti6Al4V were conducted within the processing range of laser sintering system with the 400 W laser, and these experimental results allowed to verify simulated FEA results.
THE VOICE OF THE AUTHORIZED HERITAGE DISCOURSE

131 The study presents an investigation of a regional authorized heritage discourse, represented by the County Administrative Board on signs set up at ancient monuments and sites in the province of Skåne in southern Sweden. The starting point is a critical analysis of layout, texts and illustrations to ascertain the narratives conveyed by the signs. The results show that slightly less than half of the studied signs work well according to the criteria set up for the study. The result also demonstrates that more than half of the studied signs do not work well according to these criteria. Those that work well give detailed information about the ancient monument or site. The signs that do not work well give inadequate information and risk excluding a majority of the people who read them. The latter signs confirm what so many other discourse analyses have shown, that the authorized heritage discourse to a large extent still privileges the perspectives of a white, middle-class male. The former signs, that is, those that are judged to work well in terms of the criteria applied in this study, show that the authorized heritage discourse does not only offer something that privileges the perspectives of that white, middle class male, but also has the ability to offer narratives with other perspectives.
From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving network; and without considering the context of content, it may be impossible to arrive at a truthful interpretation. Traditional approaches to rumour detection, however, exploit solely a single content modality, e.g., social media posts, which limits their detection accuracy. In this paper, we cope with the aforementioned challenges by means of a multi-modal approach to rumour detection that identifies anomalies in both, the entities (e.g., users, posts, and hashtags) of a social platform and their relations. Based on local anomalies, we show how to detect rumours at the network level, following a graph-based scan approach. In addition, we propose incremental methods, which enable us to detect rumours using streaming data of social platforms. We illustrate the effectiveness and efficiency of our approach with a real-world dataset of 4M tweets with more than 1000 rumours.
Domain Adaptation for Word Sense Disambiguation using k-Nearest Neighbor Algorithm and Topic Model

本論文では語義曖昧性解消 (Word Sense Disambiguation, WSD)の領域適応に対す る手法を提案する. WSD の領域適応の問題は,2つの問題に要約できる. 1つは領 域間で語義の分布が異なる問題,もう 1つは領域の変化によりデータスパースネス が生じる問題である. 本論文では上記の点を論じ,前者の問題の対策として学習手 法に k-近傍法を補助的に用いること,後者の問題の対策としてトピックモデルを用 いることを提案する. 具体的にはターゲット領域から構築できるトピックモデルに よって,ソース領域の訓練データとターゲット領域のテストデータにトピック素性 を追加する. 拡張された素性ベクトルから SVM を用いて語義識別を行うが,識別 の信頼性が低いものには k-近傍法の識別結果を用いる. BCCWJ コーパスの 2つの 領域 PB(書籍)と OC(Yahoo! 知恵袋)から共に頻度が 50 以上の多義語 17 単語 を対象にして,WSD の領域適応の実験を行い,提案手法の有効性を示す. 別種の 領域間における本手法の有効性の確認,領域の一般性を考慮したトピックモデルを WSD に利用する方法,および WSD の領域適応に有効なアンサンブル手法を考案 することを今後の課題とする. キーワード:語義曖昧性解消,領域適応,トピックモデル,k-近傍法,教師なし学習
PROBABILISTIC SEISMIC HAZARD MAPPING IN SLOVENIA

This study of probabilistic seismic hazard mapping in Slovenia is based on: 1) the Poissonian temporal earthquake process, 2) five spatial models of expected seismicity, 3) doubly-truncated exponential recurrence relationship, 4) two published ground motion models given by Ambraseys, Simpson and Bommer ASB [1996] and by Pugliese and Sabetta – PS [1989, 1996] for rock, and 5) spatially smoothed seismicity modeling and classical seismic source zone modeling.
Damping identification of bridges from nonstatioary ambient vibration data

This research focused on the assessment of vortex-induced vibration on cablestayed bridge with identification of damping ratio using nonstationary ambient vibration data. The damping ratio has a strong effect on the vortex-induced vibration of longspan bridge. It can be identified by operational modal analysis based on the assumption of stationary white noise input. However, most bridges are generally subjected to a nonstationary excitation in service, and it can be a reason of random uncertainty. To deal with this nonstationarity, an amplitude-modulating function is calculated from measured responses to eliminate global trends caused by a nonstationary part. The Bind Source Separation is also implemented to extract the stationary process from the raw signal. In order to estimate the damping ratio, Natural Excitation Technique-Eigensystem Realization Algorithm is applied to the extracted stationary process. The comparative analysis is performed between extracted stationary process and nonstationary data to assess the effect of elimination of nonstationarity on damping estimation.
Multi – objective optimization with the naive M ID E A

EDAs have been shown to perform well on a wide variety of single– objective optimization problems, for binary and real–valued variables. In this chapter we look into the extension of the EDA paradigm to multi–objective optimization. To this end, we focus the chapter around the introduction of a simple, but effective, EDA for multi–objective optimization: the naive MIDEA (mixture–based multi–objective iterated density–estimation evolutionary algorithm). The probabilistic model in this specific algorithm is a mixture distribution. Each component in the mixture is a univariate factorization. As will be shown in this chapter, mixture distributions allow for wide–spread exploration of a multi–objective front whereas most operators focus on a specific part of the multi–objective front. This wide–spread exploration aids the important preservation of diversity in multi–objective optimization. To further improve and maintain the diversity that is obtained by the mixture distribution, a specialized diversity preserving selection operator is used in the naive MIDEA. We verify the effectiveness of the naive MIDEA in two different problem domains and compare it with two other well–known efficient multi–objective evolutionary algorithms (MOEAs).
Radioimaging PELVIC LYMPH NODE TOPOGRAPHY FOR RADIOTHERAPY TREATMENT PLANNING FROM FERUMOXTRAN-10 CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING

Purpose: To define a population-based pelvic lymph node clinical target volume (CTV) for radiotherapy treatment planning using magnetic resonance (MR) imaging and the ultrasmall superparamagnetic iron oxide lymph node contrast agent ferumoxtran-10. Methods and Materials: A total of 55 eligible patients with endometrial, cervical, prostate, or bladder cancer underwent MR imaging sessions before and after contrast administration on 2 consecutive days. Ferumoxtran-10 was administered immediately after the first scan. The three-dimensional spatial distribution of the pelvic lymph nodes was determined in relation to adjacent vessels and other musculoskeletal landmarks, from which guidelines for determining a nodal CTV in individual patients were developed. Results: On average, 30 lymph nodes (range, five to 62 nodes) were identified in each patient. The distribution of nodal distances to the closest artery or vein was observed to vary in different anatomic regions. Symmetrical threedimensional margins of expansion around the distal para-aortic (12 mm), common iliac (10 mm), external iliac (9 mm), and internal iliac (10 mm) vessels, drawn in continuity with a 12-mm expansion anterior to the sacrum and a 22-mm expansion medial to the pelvic sidewall, were shown to encompass the majority of detectable lymph nodes in most patients. Conclusion: Use of MR lymphography with ferumoxtran-10 provides an objective description of lymph node locations for radiotherapy planning. Use of this nodal CTV model in clinical practice could ensure a high probability of encompassing the regions at risk of harboring metastatic disease while minimizing the dose to adjacent normal tissues. 2009 Elsevier Inc.
TN COMPARISON OF THE SIMULATION AND MEASUREMENTS OF THE REPSONSE OF CENTRONIC HIGH-PRESSURE IONISATION CHAMBERS TO THE MIXED RADIATION FIELD OF THE CERF FACILITY

For the application of high-pressure ionisation chambers as radiation monitoring systems in a high-energy accelerator-specific environment, it is of great interest to know their response to mixed radiation fields. This Note describes the comparison of the simulation of such chambers of type IG5 by Centronic Ltd. to measurements previously performed in the mixed radiation field of the CERN-EU high-energy Reference Field (CERF) facility. Using calculated particlespecific response functions of these monitors it is studied how accurately their response in a mixed field of known particle and energy composition can be predicted by FLUKA Monte Carlo simulations. CERN, Geneva, Switzerland 06.05. 2004
Low SLC 29 A 1 expression is associated with poor prognosis in patients with hepatocellular carcinoma

Overall survival of patients with hepatocellular carcinoma (HCC) remains poor, and the multidrug resistance of HCC cells contributes to the limited efficacy of anti-cancer drugs, and reduced time to recurrence. We systematically screened the expression of transporter genes in HCC samples and found that solute carrier family 29 member A1 (SLC29A1) expression was significantly elevated in human HCC cells compared with para-carcinoma cell samples. The results of tissues microarray showed that SLC29A1 was an independent prognostic factor for overall survival and tumor recurrence, especially for patients with AFP ≤ 20 ng/ml, no microvascular invasion and early staging. In vivo and vitro analyses showed that down-regulation of SLC29A1 expression could enhance tumor cell proliferation, invasion and reduced drug sensitivity. Further microarray-based gene expression profile indicated that low SLC29A1 expression may contribute to HCC progression by promoting the epithelial-mesenchymal transition through zinc finger E-box binding homeobox 2 and transforming growth factor beta receptor activation, modifying cell adhesion through upor down-regulation of cell adhesion molecules, and activating the nuclear factor-kappaB pathway through tripartite motif-containing protein 9 inhibition. In conclusion, low SLC29A1 expression correlated with high recurrence risk and poor outcomes for patients with HCC after surgery. SLC29A1 might be a promising prognostic factor, a potential tumor suppressor, and a drug sensitizer for patients with HCC through its interaction with various signaling pathways involved in this disease.
Large Collections of Web Images and Videos for Storyline Reconstruction

In this paper, we address the problem of jointly summarizing large-scale Flickr images and YouTube user videos. Starting from the intuition that the characteristics of the two media are different yet complementary, we develop a fast and easily-parallelizable approach for creating not only high-quality video summary but also a novel structural summary of online images as storyline graphs, which can illustrate various events or activities associated with the topic in a form of a branching network. In our approach, the video summarization is achieved by diversity ranking on the similarity graphs between images and video frames. The reconstruction of storyline graphs is formulated as the inference of sparse time-varying directed graphs from a set of photo streams with assistance of videos. For evaluation, we create the datasets of 20 outdoor recreational activities, consisting of 2.7M of Flickr images and 16K of YouTube user videos. Due to the large-scale nature of our problems, we evaluate our algorithm via crowdsourcing using Amazon Mechanical Turk. In our experiments, we demonstrate that the proposed joint summarization approach outperforms other important baselines and our own methods using videos or images only.