Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Science
Title: Bi-objective stochastic programming models for determining depot locations in disaster relief operations
Abstract: This paper presents two-stage bi-objective stochastic programming models for disaster relief operations. We consider a problem that occurs in the aftermath of a natural disaster: a transportation system for supplying disaster victims with relief goods must be established. We propose bi-objective optimization models with a monetary objective and humanitarian objective. Uncertainty in the accessibility of the road network is modeled by a discrete set of scenarios. The key features of our model are the determination of locations for intermediate depots and acquisition of vehicles. Several model variants are considered. First, the operating budget can be fixed at the first stage for all possible scenarios or determined for each scenario at the second stage. Second, the assignment of vehicles to a depot can be either fixed or free. Third, we compare a heterogeneous vehicle fleet to a homogeneous fleet. We study the impact of the variants on the solutions. The set of Pareto-optimal solutions is computed by applying the adaptive Epsilon-constraint method. We solve the deterministic equivalents of the two-stage stochastic programs using the MIP-solver CPLEX.
Extracted statement — Second-stage2: Transport
Research field: Science
Title: Understanding multi-articled documents
Abstract: A document understanding method based on the tree representation of document structures is proposed. It is shown that documents have an obvious hierarchical structure in their geometry which is represented by a tree. A small number of rules are introduced to transform the geometric structure into the logical structure which represents the semantics. The virtual field separator technique is employed to utilize the information carried by special constituents of documents such as field separators and frames, keeping the number of transformation rules small. Experimental results on a variety of document formats have shown that the proposed method is applicable to most of the documents commonly encountered in daily use, although there is still room for further refinement of the transformation rules.<<ETX>>
Extracted statement — Logical Structure Representation: tree
Research field: Science
Title: Document image segmentation and text area ordering
Abstract: A system for document image segmentation and ordering text areas is described and applied to both Japanese and English complex printed page layouts. There is no need to make any assumption about the shape of blocks, hence the segmentation technique can handle not only skewed images without skew-correction but also documents where column are not rectangular. In this technique, on the bottom-up strategy, the connected components are extracted from the reduced image, and classified according to their local information. The connected components are merged into lines, and lines are merged into areas. Extracted text areas are classified as body, caption, header, and footer. A tree graph of the layout of body texts is made, and we get the order of texts by preorder traversal on the graph. The authors introduce the influence range of each node, a procedure for the title part, and extraction of the white horizontal separator. Making it possible to get good results on various documents. The total system is fast and compact.<<ETX>>
Extracted statement — Logical Structure Representation: tree
Research field: Science
Title: A fast trilateral filterbased adaptive support weight method for stereo matching
Abstract: Adaptive support weight (ASW) methods represent the state of the art in local stereo matching, while the bilateral filter-based ASW method achieves outstanding performance. However, this method fails to resolve the ambiguity induced by nearby pixels at different disparities but with similar colors. In this paper, we introduce a novel trilateral filter (TF)-based ASW method that remedies such ambiguities by considering the possible disparity discontinuities through color discontinuity boundaries, i.e., the boundary strength between two pixels, which is measured by a local energy model. We also present a recursive TF-based ASW method whose computational complexity is O(N) for the cost aggregation step, and O(NLog2(N)) for boundary detection, where N denotes the input image size. This complexity is thus independent of the support window size. The recursive TF-based method is a nonlocal cost aggregation strategy. The experimental evaluation on the Middlebury benchmark shows that the proposed method, whose average error rate is 4.95%, outperforms other local methods in terms of accuracy. Equally, the average runtime of the proposed TF-based cost aggregation is roughly 260 ms on a 3.4-GHz Inter Core i7 CPU, which is comparable with state-of-the-art efficiency.
Extracted statement — Algorithm: Trilateral
Research field: Science
Title: Twitter for Crisis Communication: Lessons Learned from Japan's Tsunami Disaster
Abstract: Two weeks after the Great Tohoku earthquake followed by the devastating tsunami, we have sent open-ended questionnaires to a randomly selected sample of Twitter users and also analysed the tweets sent from the disaster-hit areas. We found that people in directly affected areas tend to tweet about their unsafe and uncertain situation while people in remote areas post messages to let their followers know that they are safe. Our analysis of the open-ended answers has revealed that unreliable retweets (RTs) on Twitter was the biggest problem the users have faced during the disaster. Some of the solutions offered by the respondents included introducing official hash tags, limiting the number of RTs for each hash tag and adding features that allow users to trace information by maintaining anonymity.
Extracted statement — Emergency Type: Tsunami
Research field: Science
Title: Twitter for Crisis Communication: Lessons Learned from Japan's Tsunami Disaster
Abstract: Two weeks after the Great Tohoku earthquake followed by the devastating tsunami, we have sent open-ended questionnaires to a randomly selected sample of Twitter users and also analysed the tweets sent from the disaster-hit areas. We found that people in directly affected areas tend to tweet about their unsafe and uncertain situation while people in remote areas post messages to let their followers know that they are safe. Our analysis of the open-ended answers has revealed that unreliable retweets (RTs) on Twitter was the biggest problem the users have faced during the disaster. Some of the solutions offered by the respondents included introducing official hash tags, limiting the number of RTs for each hash tag and adding features that allow users to trace information by maintaining anonymity.
Extracted statement — Technology: Twitter
Research field: Science
Title: User gains and PD aims
Abstract: We present a study of user gains from their participation in a participatory design (PD) project at Danish primary schools. We explore user experiences and reported gains from the project in relation to the multiple aims of PD, based on a series of interviews with pupils, teachers, administrators, and consultants, conducted approximately three years after the end of the project. In particular, we reflect on how the PD initiatives were sustained after the project had ended. We propose that not only are ideas and initiatives disseminated directly within the organization, but also through networked relationships among people, stretching across organizations and project groups. Moreover, we demonstrate how users' gains related to their acting within these networks. These results suggest a heightened focus on the indirect and distributed channels through which the long-term impact of PD emerges.
Extracted statement — participants: Users
Research field: Science
Title: Fatal Clostridium difficile infection of the small bowel after complex colorectal surgery
Abstract: Pseudomembranous colitis is a well recognized complication of antibiotic use1 and is due to disturbances of the normal colonic bacterial flora, resulting in overgrowth of Clostridium difficile. For recurrent or severe cases, oral vancomycin or metronidazole is the treatment of choice. Progression to acute fulminant colitis with systemic toxic effects occasionally occurs, especially in the elderly and in the immunosuppressed. Some of these patients may need surgical intervention for complications such as perforation.2 Clostridium difficile is commonly regarded as a colonic pathogen and there are few reports of C. difficile enteritis with involvement of the small bowel (Table 1). Pseudomembrane formation caused by C. difficile is generally restricted to the colon, with abrupt termination at the ileocaecal valve.1,3,5,8,9 We report a case of fulminant and fatal C. difficile infection with pseudomembranes throughout the entire small bowel and colon in a patient following complex colorectal surgery. The relevant literature is reviewed.
Extracted statement — Treatment: Vancomycin
Research field: Science
Title: Treatment of metronidazole-refractory Clostridium difficile enteritis with vancomycin
Abstract: BACKGROUND Clostridium difficile infection of the colon is a common and well-described clinical entity. Clostridium difficile enteritis of the small bowel is believed to be less common and has been described sparsely in the literature. METHODS Case report and literature review. RESULTS We describe a patient who had undergone total proctocolectomy with ileal pouch-anal anastomosis who was treated with broad-spectrum antibiotics and contracted C. difficile refractory to metronidazole. The enteritis resolved quickly after initiation of combined oral vancomycin and metronidazole. A literature review found that eight of the fifteen previously reported cases of C. difficile-associated small-bowel enteritis resulted in death. CONCLUSIONS It is important for physicians who treat acolonic patients to be aware of C. difficile enteritis of the small bowel so that it can be suspected, diagnosed, and treated.
Extracted statement — Treatment: Vancomycin
Research field: Science
Title: The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results
Abstract: Detection and tracking of faces in image sequences is among the most well studied problems in the intersection of statistical machine learning and computer vision. Often, tracking and detection methodologies use a rigid representation to describe the facial region 1, hence they can neither capture nor exploit the non-rigid facial deformations, which are crucial for countless of applications (e.g., facial expression analysis, facial motion capture, high-performance face recognition etc.). Usually, the non-rigid deformations are captured by locating and tracking the position of a set of fiducial facial landmarks (e.g., eyes, nose, mouth etc.). Recently, we witnessed a burst of research in automatic facial landmark localisation in static imagery. This is partly attributed to the availability of large amount of annotated data, many of which have been provided by the first facial landmark localisation challenge (also known as 300-W challenge). Even though now well established benchmarks exist for facial landmark localisation in static imagery, to the best of our knowledge, there is no established benchmark for assessing the performance of facial landmark tracking methodologies, containing an adequate number of annotated face videos. In conjunction with ICCV'2015 we run the first competition/challenge on facial landmark tracking in long-term videos. In this paper, we present the first benchmark for long-term facial landmark tracking, containing currently over 110 annotated videos, and we summarise the results of the competition.
Extracted statement — Video (v)/image (i): Video
Research field: Science
Title: Undifferentiated (Embryonal) Sarcoma of the Liver
Abstract: A 10‐year‐old girl with undifferentiated (embryonal) sarcoma of the liver reported here had abdominal pain, nausea, vomiting and weakness when she was 8 years old. Chemical analyses of the blood and urine were normal. Serum alpha‐fetoprotein was within normal limits. She died of cachexia 1 year and 8 months after the onset of symptoms. Autopsy showed a huge tumor mass in the liver and a few metastatic nodules in the lungs, which were consistent histologically with undifferenitated sarcoma of the liver. To our knowledge, this is the second case report of hepatic undifferentiated sarcoma of children in Japan, the feature being compatible with the description of Stocker and Ishaka.
Extracted statement — Symptoms and signs: vomiting
Research field: Science
Title: Comparative analysis of algorithms for identifying amplifications and deletions in array CGH data
Abstract: MOTIVATION Array Comparative Genomic Hybridization (CGH) can reveal chromosomal aberrations in the genomic DNA. These amplifications and deletions at the DNA level are important in the pathogenesis of cancer and other diseases. While a large number of approaches have been proposed for analyzing the large array CGH datasets, the relative merits of these methods in practice are not clear. RESULTS We compare 11 different algorithms for analyzing array CGH data. These include both segment detection methods and smoothing methods, based on diverse techniques such as mixture models, Hidden Markov Models, maximum likelihood, regression, wavelets and genetic algorithms. We compute the Receiver Operating Characteristic (ROC) curves using simulated data to quantify sensitivity and specificity for various levels of signal-to-noise ratio and different sizes of abnormalities. We also characterize their performance on chromosomal regions of interest in a real dataset obtained from patients with Glioblastoma Multiforme. While comparisons of this type are difficult due to possibly sub-optimal choice of parameters in the methods, they nevertheless reveal general characteristics that are helpful to the biological investigator.
Extracted statement — Algorithm: Wavelet
Research field: Science
Title: Information content based ranking metric for linked open vocabularies
Abstract: It is widely accepted that by controlling metadata, it is easier to publish high quality data on the web. Metadata, in the context of Linked Data, refers to vocabularies and ontologies used for describing data. With more and more data published on the web, the need for reusing controlled taxonomies and vocabularies is becoming more and more a necessity. Catalogues of vocabularies are generally a starting point to search for vocabularies based on search terms. Some recent studies recommend that it is better to reuse terms from "popular" vocabularies [4]. However, there is not yet an agreement on what makes a popular vocabulary since it depends on diverse criteria such as the number of properties, the number of datasets using part or the whole vocabulary, etc. In this paper, we propose a method for ranking vocabularies based on an information content metric which combines three features: (i) the datasets using the vocabulary, (ii) the outlinks from the vocabulary and (iii) the inlinks to the vocabulary. We applied this method to 366 vocabularies described in the LOV catalogue. The results are then compared with other catalogues which provide alternative rankings.
Extracted statement — App. Type: Web
Research field: Science
Title: Visualizing ontologies with VOWL
Abstract: The Visual Notation for OWL Ontologies (VOWL) is a well-specified visual language for the user-oriented representation of ontologies. It defines graphical depictions for most elements of the Web Ontology Language (OWL) that are combined to a force-directed graph layout visualizing the ontology. In contrast to related work, VOWL aims for an intuitive and comprehensive representation that is also understandable to users less familiar with ontologies. This article presents VOWL in detail and describes its implementation in two different tools: ProtegeVOWL and WebVOWL. The first is a plugin for the ontology editor Protege, the second a standalone web application. Both tools demonstrate the applicability of VOWL by means of various ontologies. In addition, the results of three user studies that evaluate the comprehensibility and usability of VOWL are summarized. They are complemented by findings from an interview with experienced ontology users and from testing the visual scope and completeness of VOWL with a benchmark ontology. The evaluations helped to improve VOWL and confirm that it produces comparatively intuitive and comprehensible ontology visualizations.
Extracted statement — App. Type: Web
Research field: Science
Title: graphVizdb: A scalable platform for interactive large graph visualization
Abstract: We present a novel platform for the interactive visualization of very large graphs. The platform enables the user to interact with the visualized graph in a way that is very similar to the exploration of maps at multiple levels. Our approach involves an offline preprocessing phase that builds the layout of the graph by assigning coordinates to its nodes with respect to a Euclidean plane. The respective points are indexed with a spatial data structure, i.e., an R-tree, and stored in a database. Multiple abstraction layers of the graph based on various criteria are also created offline, and they are indexed similarly so that the user can explore the dataset at different levels of granularity, depending on her particular needs. Then, our system translates user operations into simple and very efficient spatial operations (i.e., window queries) in the backend. This technique allows for a fine-grained access to very large graphs with extremely low latency and memory requirements and without compromising the functionality of the tool. Our web-based prototype supports three main operations: (1) interactive navigation, (2) multi-level exploration, and (3) keyword search on the graph metadata.
Extracted statement — App. Type: Web
Research field: Science
Title: Cyberbotics ltd. webots professional mobile robot simulation
Abstract: Cyberbotics Ltd. develops Webots™, a mobile robotics simulation software that provides you with a rapid prototyping environment for modelling, programming and simulating mobile robots. The provided robot libraries enable you to transfer your control programs to several commercially available real mobile robots. Webots™ lets you define and modify a complete mobile robotics setup, even several different robots sharing the same environment. For each object, you can define a number of properties, such as shape, color, texture, mass, friction, etc. You can equip each robot with a large number of available sensors and actuators. You can program these robots using your favorite development environment, simulate them and optionally transfer the resulting programs onto your real robots. Webots™ has been developed in collaboration with the Swiss Federal Institute of Technology in Lausanne, thoroughly tested, well documented and continuously maintained for over 7 years. It is now the main commercial product available from Cyberbotics Ltd.
Extracted statement — Name: Webots
Research field: Science
Title: Chemical Composition of the Essential Oil ofArtemisia herba-albaAsso Grown in Algeria
Abstract: Abstract The essential oil obtained by hydrodistillation from the aerial parts of Artemisia herba-alba Asso growing wild in M'sila-Algeria, was investigated using both capillary GC and GC/MS techniques. The oil yield was 1.02% based on dry weight. Sixty-eight components amounting to 94.7% of the oil were identifed, 33 of them being reported for the frst time in Algerian A. herba-alba oil and 21 of these components have not been previously reported in A. herba-alba oils. The oil contained camphor (19.4%), trans-pinocarveol (16.9%), chrysanthenone (15.8%) and β-thujone (15%) as major components. Monoterpenoids are the main components (86.1%), and the irregular monoterpenes fraction represented a 3.1% yield.
Extracted statement — Collection site: Wild
Research field: Science
Title: Composition and intraspecific chemical vari- ability of the essential oil from Artemisia herba alba growing wild in a Tunisian arid zone
Abstract: The intraspecific chemical variability of essential oils (50 samples) isolated from the aerial parts of Artemisia herba‐alba Asso growing wild in the arid zone of Southeastern Tunisia was investigated. Analysis by GC (RI) and GC/MS allowed the identification of 54 essential oil components. The main compounds were β‐thujone and α‐thujone, followed by 1,8‐cineole, camphor, chrysanthenone, trans‐sabinyl acetate, trans‐pinocarveol, and borneol. Chemometric analysis (k‐means clustering and PCA) led to the partitioning into three groups. The composition of two thirds of the samples was dominated by α‐thujone or β‐thujone. Therefore, it could be expected that wild plants of A. herba‐alba randomly harvested in the area of Kirchaou and transplanted by local farmers for the cultivation in arid zones of Southern Tunisia produce an essential oil belonging to the α‐thujone/β‐thujone chemotype and containing also 1,8‐cineole, camphor, and trans‐sabinyl acetate at appreciable amounts.
Extracted statement — Collection site: Wild
Research field: Science
Title: Chemical Variability ofArtemisia herba-albaAsso Growing Wild in Semi-arid and Arid Land (Tunisia)
Abstract: Abstract Twenty-six oil samples were isolated by hydrodistillation from aerial parts of Artemisia herba-alba Asso growing wild in Tunisia (semi-arid land) and their chemical composition was determined by GC(RI), GC/MS and 13C-NMR. Various compositions were observed, dominated either by a single component (α-thujone, camphor, chrysanthenone or trans-sabinyl acetate) or characterized by the occurrence, at appreciable contents, of two or more of these compounds. These results confrmed the tremendous chemical variability of A. herba-alba.
Extracted statement — Collection site: Wild
Research field: Science
Title: Chemical composition and biological activities of a new essential oil chemotype of Tunisian Artemisia herba alba Asso
Abstract: The aim of the present study was to investigate the chemical composition, antioxidant, angiotensin Iconverting enzyme (ACE) inhibitory, antibacterial and antifungal activities of the essential oil of Artemisia herba alba Asso (Aha), a traditional medicinal plant widely growing in Tunisia. The essential oil from the air dried leaves and flowers of Aha were extracted by hydrodistillation and analyzed by GC and GC/MS. More than fifty compounds, out of which 48 were identified. The main chemical class of the oil was represented by oxygenated monoterpenes (50.53%). These were represented by 21 derivatives, among which the cis -chrysantenyl acetate (10.60%), the sabinyl acetate (9.13%) and the α-thujone (8.73%) were the principal compounds. Oxygenated sesquiterpenes, particularly arbusculones were identified in the essential oil at relatively high rates. The Aha essential oil was found to have an interesting antioxidant activity as evaluated by the 2,2-diphenyl-1-picrylhydrazyl and the β-carotene bleaching methods. The Aha essential oil also exhibited an inhibitory activity towards the ACE. The antimicrobial activities of Aha essential oil was evaluated against six bacterial strains and three fungal strains by the agar diffusion method and by determining the inhibition zone. The inhibition zones were in the range of 8-51 mm. The essential oil exhibited a strong growth inhibitory activity on all the studied fungi. Our findings demonstrated that Aha growing wild in South-Western of Tunisia seems to be a new chemotype and its essential oil might be a natural potential source for food preservation and for further investigation by developing new bioactive substances.
Extracted statement — Collection site: Wild