Miracle-dz/UniFAR-FTUs huggingface dataset:
Recognizing Semi-Automatically Author's Intentions From Scientific Documents

The growing volume of electronic documents on the Web, make their retrieval difficult. One of the reasons of this difficulty is the lack of rich representation of their structures. Intentional Structures promise to be a new paradigm to extend the existing documents structures and to enhance the different phases of documents process such as creation, editing, search and retrieval. The objective of this work is to propose a model of intentional structure and, an analyzer to recognize the author’s intentions from written documents in a specific domain. On the one hand, this system is based on ontology of intentions. On the other hand, it is based on a set of algorithms which facilitate the building of intentional structure. The main principle of these algorithms is to reproduce writer’s skills. The role of the system is to recognize the intentional structure i.e., to make a segmentation in a semi-automatic way of a document according to the authors intentions, and to extract the intentional verbs accompanied by their concepts of each segment through the algorithms of our analyzer. This analyzer is also able to update the ontology of intentions for the enrichment of the knowledge base containing all possible intentions of a domain. This article presents experimentation on scientific publications in the field of computer science. Key-words: Information Research, Analyzer, Intentional Structure, Segmentation, Ontology.
Large Intergenic Cruciform-Like Supermotifs in the Lactobacillus plantarum Genome

ABSTRACT Twenty-four Lactobacillus plantarum supermotifs (LPSMs) with lengths from ∼800 to 1,000 nucleotides were identified in the L. plantarum genome. LPSMs were conserved in other L. plantarum strains but not in other species. Secondary structure analysis predicted that LPSMs may fold into cruciform-like structures. Preliminary experiments indicate that the LPSMs are transcribed.
Understanding Conceptualizations and Structural Environment for Improving Pre-Pregnancy Planning for Adolescent Girls and Young Women in Harare, Zimbabwe

Dissertation Abstract Zimbabwe has a high maternal mortality with adolescent girls and young women facing increased risk of maternal morbidity and mortality. Current approaches to reducing maternal mortality in Zimbabwe focus on the pregnancy period with antenatal care, obstetric care, and micronutrient supplementation during pregnancy. Although important, these approaches are not reaching a large number of women and may benefit from an integration with pre-pregnancy approaches. The importance of pre-pregnancy interventions to promote young women's health has been emphasized, yet many young women in developing countries like Zimbabwe do not have access to pre-pregnancy care because little is understood about the concept of pre-pregnancy planning. Furthermore, it is unknown which interventions will have the greatest impact on maternal outcomes of women in these countries. The purpose of this research was to work collaboratively with adolescent girls, young women, and key community stakeholders in Harare, Zimbabwe to bridge the knowledge gap around pre-pregnancy planning and to inform the development of a pre-pregnancy planning intervention. Interview data were collected from June-August 2015 from adolescent girls and young women (14-24 years) (n=48) and key community stakeholders (n=24) from two low-income high-density communities in Harare. Sixteen focus groups were also conducted in November 2015 with females aged 14-24 years, healthcare workers, and partners of females aged 14-24 years (n=134). Qualitative analysis with Nvivo 10 software indicated that adolescent girls and young women conceptualized pregnancy across 8 themes: carrying a child, motherhood, the best time for pregnancy, pregnancy decision
Effects of screen presentation on text reading and revising

Two studies using the methods of experimental psychology assessed the effects of two types of text presentation (page-by-page vs. scrolling) on participants' performance while reading and revising texts. Greater facilitative effects of the page-by-page presentation were observed in both tasks. The participants' reading task performance indicated that they built a better mental representation of the text as a whole and were better at locating relevant information and remembering the main ideas. Their revising task performance indicated a larger number of global corrections (which are the most difficult to make).
Transgenic Mice Overexpressing Protein Kinase C d in the Epidermis Are Resistant to Skin Tumor Promotion by 12-O-Tetradecanoylphorbol-13-acetate 1

To determine the role of protein kinase Cd in mouse skin carcinogenesis, we have developed transgenic FVB/N mouse lines expressing in the epidermis an epitope-tagged protein kinase Cd (T7-PKCd) regulated by the human keratin 14 promoter. The untreated T7-PKCd mice displayed excessive dryness in the skin of the tail with a variable penetrance over time. Histologically, the tail skin showed hyperplasia with evidence of hyperkeratosis. The epidermis of the rest of the T7-PKCd mouse was unremarkable. Despite this mild phenotype, the effects of PKCd overexpression on mouse skin tumor promotion by 12O-tetradecanoylphorbol13-acetate (TPA) were dramatic. Two independent lines of T7-PKCd mice (16 and 37) expressing the T7-PKCd transgene were examined for responsiveness to skin tumor promotion by 7,12-dimethylbenz[a]anthracene and TPA. By immunoblot analysis, the T7-PKCd-16 and T7-PKCd-37 mice showed an 8and 2-fold increase of PKCd protein. The T7-PKCd-16 mice averaged 300% more T7-PKCd activity than the T7-PKCd-37 mice did. The T7-PKCd-37 mice did not manifest any difference in tumor burden or incidence. However, the reduction in papilloma burden at 25 weeks of promotion for the T7-PKC d-16 mice relative to wild-type mice averaged 72 and 74% for males and females, respectively. The T7-PKC d-16 mice reached 50% papilloma incidence between 12 and 13 weeks of promotion compared with 8 weeks for wild-type mice. Furthermore, the carcinoma incidence was also reduced in T7-PKCd-16 mice. Carcinoma incidence at 25 weeks of promotion treatment was: wild-type females, 78%; T7PKCd-16 females, 37%; wild-type males, 45%; and T7PKCd-16 males, 7%. Thus, PKCd when expressed at sufficient levels can suppress skin tumor promotion by TPA.
Out of samples extensions for SC-LLE, new nonlinear dimensionality reduction algorithm

In a previous paper a new version of nonlinear dimensionality reduction algorithm was proposed, the SC-LLE approach. This approach combines a supervised method, linear discriminant analysis (LDA, a simple but widely used algorithm in pattern recognition) with an unsupervised method, local linear embedding (LLE, manifold learning). SC-LLE method can generalize any linear classifier (like LDA) to nonlinear by transforming data into some low-dimensional feature space. This new concept (SC-LLE) applied to nonlinear data projection seems to be promising, and we show in this new paper that semi-supervised learning (SSL) is another interesting property of SC-LLE. Applications on 3D data show the interest of this method.
Maximum entropy pole-zero estimation

We describe a new Maximum Entropy pole-zero spectral estimation method. The model is designed to match given correlation and cepstral values, yet achieve the maximum possible entropy. The solution is based on solving a generalized symmetric almost-Toeplitz eigenvalue problem. We characterize this solution, present a fast computational algorithm, and give examples.
Complete Genome Sequence of Citrobacter freundii Myophage Mordin

ABSTRACT Citrobacter freundii is a Gram-negative opportunistic pathogen that is associated with urinary tract infections. Bacteriophages infecting C. freundii can be used as an effective treatment to fight these infections. Here, we announce the complete genome sequence of the C. freundii Felix O1-like myophage Mordin and describe its features.
Adoption of ILIAS Web Learning System for distance education

Applications of e-learning can be as effective as the traditional teaching and learning style, if the methods are right and implemented with care. This paper discusses the implementation of web learning technology within the context of academic development in higher education. ILIAS Web Learning System has been applied for this purpose currently used for distance education at Faculty of Manufacturing Technologies.
Static Detection of Bugs Caused by Incorrect Exception Handling in Java Programs

Exception handling is a vital but often poorly tested part of a program. Static analysis can spot bugs on exceptional paths without actually making the exceptions happen. However, the traditional methods only focus on null dereferences on exceptional paths, but do not check the states of variables, which may be corrupted by exceptions. In this paper we propose a static analysis method that combines forward flow sensitive analysis and backward path feasibility analysis, to detect bugs caused by incorrect exception handling in Java programs. We found 8 bugs in three open source server applications, 6 of which cannot be found by Find Bugs. The experiments showed that our method is effective for finding bugs related to poorly handled exceptions.
Reducing MANET neighborhood discovery overhead

Routing in MANETs still is a challenging task. Especially for proactive protocols where nodes periodically send control messages, a vast amount of the available data rate is used for link detection and the dissemination of topology information. Numerous enhancements to existing routing protocols to reduce the overhead caused by control messages have been proposed. Most of them use complex algorithms or keep track of previous messages. Due to the complexity and sometimes requirements for special hardware or information sources, none of these extensions are widely used. Therefore, we propose two extensions which are simple to implement yet provide significant overhead reduction for typical control messages. The first extension removes unnecessary bytes and redundancy from control messages. The second extension introduces smaller messages sent as replacements when the information did not change since the last message. Both extensions can be used in parallel or individually, providing a good amount of overhead reduction while being simple to implement and integrate.
Nonparametric Rotational Motion Compensation Technique for High-Resolution ISAR Imaging via Golden Section Search

A novel rotational motion compensation algorithm for high-resolution inverse synthetic aperture radar (ISAR) imaging based on golden section search (GSS) method is presented. This paper focuses on the migration through cross-range resolution cells (MTCRRC) compensation, which requires rotation angle and center as priori information. The method performs in a nonparametric way and uses entropy criterion to estimate rotation angle and rotation center, which are used for rotational motion compensation. Experimental results show that the rotational motion in ISAR imaging can be efiectively compensated. Moreover, the proposed method is robust and computationally more e-cient compared to the parametric methods.
Unsupervised Fusion Weight Learning in Multiple Classifier Systems

In this paper we present an unsupervised method to learn the weights with which the scores of multiple classifiers must be combined in classifier fusion settings. We also introduce a novel metric for ranking instances based on an index which depends upon the rank of weighted scores of test points among the weighted scores of training points. We show that the optimized index can be used for computing measures such as average precision. Unlike most classifier fusion methods where a single weight is learned to weigh all examples our method learns instance-specific weights. The problem is formulated as learning the weight which maximizes a clarity index; subsequently the index itself and the learned weights both are used separately to rank all the test points. Our method gives an unsupervised method of optimizing performance on actual test data, unlike the well known stacking-based methods where optimization is done over a labeled training set. Moreover, we show that our method is tolerant to noisy classifiers and can be used for selecting N-best classifiers.
Augmented Reality as a Tool to Achieve Common Ground for Network based Operations

In complex collaborative situations, such as crisis management, actors from different domains and organizations must work together. This is especially evident in network based operations where virtually anyone in an organization should be able to contact someone else. However, collaborative work across organizational borders is not simple and confusion regarding use of terminology is not rare. This position paper presents a multi-user Augmented Reality (AR) application, where AR is used as a tool to aid crosscultural communication in networked operations. AR is a technique that merges real and virtual information and presents it in the field of view of the user. An individual can thus look at a physical object at the same time as the AR-system overlays that particular object with a digital image, literally replacing its appearance with something else. Other objects such as text can also be placed in the field of vision. Earlier research has shown that humans normally have to spend significant effort at establishing a shared understanding, a common ground, when entering a collaborative activity. The larger the cultural differences and the competence level of the involved is, the more effort is needed. In future, network-based, operations, it is highly likely that people from different organizations, backgrounds or even countries will have to cooperate in ad-hoc situations. This paper suggests a way of using AR as a tool for enabling cooperation between users with different backgrounds by presenting personalized representations of for example map objects in a command center. By doing so, valuable time that normally would be spent on debating the meaning of an object, like when a military commander has to explain a military symbol to a civilian decision maker, can be reduced. Even differences in language could to some extent be bridged. The paper explains the potential of AR in a collaborative scenario and suggests a design for a simple experiment to test the assumptions described.
CN EMISSION IN ORION. THE HIGH DENSITY INTERFACE BETWEEN THE H II REGION AND THE MOLECULAR CLOUD

We present high angular-resolution (12′′ − 26′′) large-scale mapping (19′× 22′) of the Orion A molecular complex in the N = 1 → 0 and N = 2 → 1 rotational transitions of the CN radical. The CN emission is not only confined to the molecular ridge and the optical bar, but it reveals filamentary emission toward the north and southwest of the Trapezium cluster and surrounding M 43. The morphology and the kinematics of the CN emission supports the idea that the CN filaments represent the interfaces between the molecular cloud and the major ionization fronts of M 42 and M 43. The CN lines have been used to estimate the physical conditions of the molecular gas which confines the ionized material in M 42 and M 43. Surprisingly, the largest line intensity ratios between the N = 1 → 0 and the N = 2 → 1 lines are not observed toward the molecular ridge or the ionization fronts, but towards the Trapezium cluster and in the direction of the ionized gas in M 43. Model calculations for the CN excitation implies H2 densities of ∼ 105 cm−3 toward the ridge and ionization fronts and > 6 × 106 cm−3 toward the region surrounding the Trapezium stars. This suggests that for the first time we have detected the confining material behind M 42. We estimate that the CN emission arises from a thin (∼ 1.2 × 1015 cm), dense (> 6 × 106 cm−3) layer which might have been compressed by the expansion of the H II region. The morphology of the CN emission, dominated by the ionization fronts of the H II regions, indicates that this molecule is an excellent tracer of regions affected by UV radiation. The comparison between the HC3N and the CN abundance shows dramatic changes (more than 4 orders of magnitude) between the different features observed in OMC 1. The [HC3N]/[CN] abundance ratio varies from values of ∼ 10−3 for the ionization fronts surrounding the H II regions, to 100 for the hot core in Orion. Our data shows that the [HC3N]/[CN] abundance ratio is an excellent tracer of photon dominated regions (PDRs) and hot cores within regions of massive star formation. Send offprint requests to: A. Rodrı́guez-Franco to the IGN address
Characterization of neural cell adhesion sites: point contacts are the sites of interaction between integrins and the cytoskeleton in PC12 cells

As developing or regenerating neurons grow, their axons seek cues in the extracellular matrix that are recognized by integrin receptors. To understand the regulation and structure of neural integrin complexes, we have examined the association of two functionally important integrins, alpha 1 beta 1 and alpha 3 beta 1, within PC12 cells. Detergent-resistant cytoskeletal ghosts were prepared from PC12 cells and examined by immunoblotting. In cells maintained in suspension the alpha 1, alpha 3, and beta 1 integrin subunits were solubilized by Triton X-100 detergent. In contrast, when cells were grown on collagen or laminin about 50% of the alpha 1 and beta 1 subunits were retained with the cytoskeleton, but alpha 3 remained soluble. Confocal immunofluorescence microscopy of whole cells demonstrated that all three integrin subunits were expressed in a punctate pattern on the cell surface in point contacts. Point contacts were also found to be the predominant adhesion structure of dorsal root ganglion neurons. After detergent extraction of PC12 cells, the point contacts remained only at the cell-substrate interface. Vinculin, which is found consistently in focal contacts on non-neural cells, showed only a partial colocalization with the point contacts, being expressed mainly at the tips of filopodia and the periphery of cell bodies. Talin showed no obvious codistribution with beta 1 integrin immunoreactivity in point contacts. Immunoreactivity to p125FAK was not detected in PC12 cells, although astrocytes, which have both focal contacts and point contacts have p125FAK only at focal contacts. These observations, together with previous data (Turner et al., 1989; Tawil et al., 1993), suggest that point contacts are functional adhesion sites and are structurally distinct from focal contacts found in non-neuronal cells.
Designer s Choice: Constructing a Study to Compare Display Interfaces for Early Design Sketching

Digital design tools provide several advantages over pen and paper, including a virtually unlimited workspace and easy design storage, transportation, duplication and access. However, the benefits of new tools are limited by the physical interfaces that are used to interact with them. In this paper, we describe and conduct an exploratory study designed to illuminate strengths and weaknesses of three digital sketching interfaces: Separated Overview+Detail (two standard desktop screens), Separated Focus+Context (one standard desktop screen with one large screen), and Single Large-Screen. The experimental tasks focus on the domain of early sketching and prototyping. Users performed one of three tasks on all three displays. Our results suggest that the Focus+Context system elicits higher user satisfaction, and possibly incurs fewer costs on perception resources and performance. Given the exploratory nature of this study, we close with suggestions for further research directions.
A Molecular and Genetic Characterization of the Mechanisms of Histone mRNA Metabolism in Drosophila

Jeremy M. Kupsco: A Molecular and Genetic Characterization of the Mechanisms of Histone mRNA metabolism in Drosophila (Under the direction of Dr. Robert Duronio) In metazoans the replication dependent histones are produced during S-phase of the cell cycle. The timely production of histones during S-phase is required to quickly package the newly synthesized DNA. Much of this S-phase regulation is achieved by the regulation of histone pre-mRNA processing. Histone mRNAs are the only mRNAs in metazoans that do not end in a poly(A) tail instead ending in a conserved 26 nucleotide sequence that forms a stem loop. A protein called Stem Loop Binding Protein (SLBP) binds to the stem loop which along with the U7 snRNP recruits an endonuclease complex to cleave the histone pre-mRNA to create the mature histone transcript. Drosophila contains a single SLBP gene, which is required for histone pre-mRNA processing during embryogenesis, the larval stages of development, and during oogenesis. In the absence of SLBP, histone mRNAs become polyadenylated by the use of cryptic polyadenylation sites downstream of the normal cleavage site. These polyadenylated transcripts perdure outside of S-phase in cells that are undergoing endocycles. In addition to Drosophila SLBP’s role in histone pre-mRNA processing, a 53 amino acid region of the N-terminus is required for viability of the organism but is dispensable for histone mRNA processing indicating a second function for SLBP in histone metabolism. At the end of S-phase histone mRNAs are rapidly destroyed. The human protein 3’hExo has been implicated in the degradation of histone mRNAs. Drosophila contains a single potential homologue of
Generating C4.5 Production Rules in Parallel

Induction systems that represent concepts in the form of production rules have proven to be useful in a variety of domains where both accuracy and comprehensibility of the resulting models are important. However, the computational requirements for inducing a set of rules from large, noisy training sets can be enormous, so that techniques for improving the performance of rule induction systems by exploiting parallelism are of considerable interest. Recent work to parallelize the C4.5 rule generator algorithm is described. After presenting an overview of the algorithm and the parallelization strategy employed, empirical results of the parallel implementation that demonstrate substantial speedup over serial execution are provided.
The lightweight simulation technology based on virtual environment

Virtual Reality technology is being widely used in various fields, especially in industry. it is widely used in practice for assembly simulation. However, the size of the data for simulation expands quickly along with the increase in components, which make it inconvenient for web publishing but can only be viewed locally. This paper proposes a approach to reduce the size of simulation file using lightweight models and Virtools. Thus the new assembly simulation file can be shared through internet or intranet, and people who have a computer connected to the internet or intranet can view the simulation file easily, and also it is convenient for worker training and operation guide. At Last, an example of assembly simulation in aircraft horizontal tail was given, and the result is proved to be effective.