Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards focused knowledge extraction: query-based extraction of structured summaries

A large part of Web resources consists of unstructuredtextual content. Processing and retrieving relevant contentfor a particular information need is challenging for both ma-chines as well as humans. While information retrieval tech-niques provide methods for detecting suitable resources fora particular query, information extraction (IE) techniquesenable the extraction of structured data [2, 3] and text sum-marization allows the detection of important sentences [1,5]. However, neither IE nor summarization techniques doconsider user interests when generating text summaries au-tomatically.This work presents an approach to extract focused knowl-edge, i.e. query-based and structured summaries accordingto particular user queries. In our case, summaries consistof structured data describing entities and their appearancecontexts.For identifying relevant statements and entities, we exploita novel approach based on POS pattern analysis and entityrecognition techniques.
Uncertain topology of 3D vector fields

We present a technique to visualize global uncertainty in stationary 3D vector fields by a topological approach. We start from an existing approach for 2D uncertain vector field topology and extend this into 3D space. For this a number of conceptional and technical challenges in performance and visual representation arise. In order to solve them, we develop an acceleration for finding sink and source distributions. Having these distributions we use overlaps of their corresponding volumes to find separating structures and saddles. As part of the approach, we introduce uncertain saddle and boundary switch connectors and provide algorithms to extract them. For the visual representation, we use multiple direct volume renderings. We test our method on a number of synthetic and real data sets.
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery

Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support systems and predictive modeling or mining of causal hypotheses. CPNs (a) have well-developed theory for induction of causal relationships, and (b) are suitable for creating sound and practical decision support systems. While several public domain and commercial tools exist for modeling and inference with CPNs, very few software tools and libraries exist currently that give access to algorithms for CPN induction. To that end, we have developed a software library, called Causal Explorer, that implements a suit of global, local and partial CPN induction algorithms. The toolkit emphasizes causal discovery algorithms. Approximately half of the algorithms are enhanced implementations of well-established algorithms, and the remaining ones are novel local and partial algorithms that scale to thousands of variables and thus are particularly suitable for modeling in massive datasets.
Ascorbate and Dehydroascorbic Acid as Reliable Biomarkers of Oxidative Stress: Analytical Reproducibility and Long-term Stability of Plasma Samples Subjected to Acidic Deproteinization

Lack of post-sampling stability of ascorbate and dehydroascorbic acid and failure to block their in vivo equilibrium have lowered their value as biomarkers of oxidative stress and limited the ability to further investigate their possible role in disease prevention. In the present article, analytic reproducibility was tested by repeated analysis of plasma aliquots from one individual over 4 years. The plasma was subjected to acidic deproteinization with an equal volume of 10% meta-phosphoric acid containing 2 mmol/L of EDTA and analyzed for ascorbate and dehydroascorbic acid by high-performance liquid chromatography with coulometric detection. In a parallel experiment, the stability of human plasma samples treated as above and stored at −80°C for 5 years was tested in a cohort of 131 individuals. No degradation or shift in the equilibrium between ascorbate and dehydroascorbic acid was observed in either of the experiments. In conclusion, ascorbate and dehydroascorbic acid could be adequately preserved in plasma stored at −80°C following acidic deproteinization with meta-phosphoric acid containing 2 mmol/L of EDTA. (Cancer Epidemiol Biomarkers Prev 2007;16(11):2513–6)
Sign language recognition

In this paper, an image processing algorithm is presented for the interpretation of the Taiwanese sign language, which is one of the sign languages used by the majority of the deaf community. The process involves two layer classifications. At first, coarse classification is done according to detection of hand motion and tracking the hand location and second classification is based on key frame selection and hand shape recognition of key frames. Motion history image and Fourier descriptor are used for motion direction recognition and key frame selection respectively. Generic cosine descriptor (GCD) has been proposed for feature extraction of hand postures. GCD is invariant to scale, translation and rotation of hand shapes. Our system tests 15 different hand gestures of 10 persons. The experimental results show that our system can achieve 100% recognition rate for test persons.
Loss of RAB1B promotes triple-negative breast cancer metastasis by activating TGF-β/SMAD signaling

Triple-negative breast cancer (TNBC) is a highly aggressive tumor subtype associated with a poor prognosis. The mechanism involved in TNBC progression remains largely unknown. To date, there are no effective therapeutic targets for this tumor subtype. In this study, by performing quantitative proteomic analyses in highly metastatic and parental breast cancer cell line, we found that RAB1B, a member of the RAS oncogene family, was significantly down-regulated in highly metastatic breast cancer cells. Moreover, down-regulation of RAB1B was also found to promote the proliferation and migration of TNBC cells in vitro and in vivo. Mechanistically, loss of RAB1B resulted in elevated expression of TGF-β receptor 1 (TβR1) through decreased degradation of ubiquitin, increased levels of phosphorylated SMAD3 and TGF-β-induced epithelial-mesenchymal transition (EMT). Furthermore, low RAB1B expression correlated with poor prognosis in breast cancer patients. Taken together, our findings reveal that RAB1B acts as a metastasis suppressor in TNBC by regulating the TGF-β/SMAD signaling pathway and RAB1B may serve as a novel biomarker of prognosis and the response to anti-tumor therapeutics for patients with TNBC.
Levels of DNA topoisomerases, single-stranded-DNA-binding protein, and DNA polymerase I in rho+ and rho-15 strains of Escherichia coli

The Escherichia coli rho-15 mutant, which is highly defective in transcription termination, was examined to see whether its reduced DNA superhelicity could be explained by altered expression of proteins that may affect DNA structure. Levels of DNA gyrase and topoisomerase I were normal; levels of single-stranded-DNA-binding protein, DNA polymerase I, and a protein tentatively identified as Lon were significantly altered.
Design and microfabrication of a high-aspect-ratio PDMS microbeam array for parallel nanonewton force measurement and protein printing

Cell and protein mechanics has applications ranging from cellular development to tissue engineering. Techniques such as magnetic tweezers, optic tweezers and atomic force microscopy have been used to measure cell deformation forces of the order of piconewtons to nanonewtons. In this study, an array of polymeric polydimethylsiloxane (PDMS) microbeams with diameters of 10–40 µm and lengths of 118 µm was fabricated from Sylgard® with curing agent concentrations ranging from 5% to 20%. The resulting spring constants were 100–300 nN µm−1. The elastic modulus of PDMS was determined experimentally at different curing agent concentrations and found to be 346 kPa to 704 kPa in a millimeter-scale array and ∼1 MPa in a microbeam array. Additionally, the microbeam array was used to print laminin for the purpose of cell adhesion. Linear and nonlinear finite element analyses are presented and compared to the closed-from solution. The highly compliant, transparent, biocompatible PDMS may offer a method for more rapid throughput in cell and protein mechanics force measurement experiments with sensitivities necessary for highly compliant structures such as axons.
Agile Data Streaming for Grid Applications

The grid is proposed to be the new computing infrastructure for cross-domain resource sharing and collaboration in virtual organizations. While most current work in grid computing community focus on adaptability of grid resource management, agility is proposed in this work as another essential requirement, aiming to provide mass customization and personalization on grid computing service provision. This work is focused on data streaming aspects of grid agility. Since volumes of data streams are usually extremely high but available bandwidth and storage are often very limit in a grid environment, an enabling environment for grid data streaming applications is implemented with supports of on-demand data transfers and just-in-time data cleanups in this work. The implementation includes performance sensors, predictors and a scheduler, with real-time measurements, prediction and scheduling capabilities. The GridFTP is utilized and data transfer schedules are performed using the on-the-fly adjustable GridFTP parallelism. Experimental results show that the data streaming environment is agile enough to meet dynamically changing application data processing requirements and scale well regarding to storage and bandwidth usage.
I-REGION GENES ARE EXPRESSED ON T AND B LYMPHOCYTES

Unidirectional mixed lymphocyte reactions (MLR) were performed between mouse strains differing for various segments within the H-2 complex. Thymocytes and purified lymph node T cells and B cells were used as stimulator cells. In three of five combinations studied, differing only within the I region, both T and B cells stimulated in the MLR. This suggests that the region codes for both T- and B-cell surface structures. However, if the difference was restricted to one I subregion (I-C), only T cells stimulated. This finding suggests that some of the I-region genes may be expressed either in T or in B cells.
USE OF SENSITIZED FLUORESCENCE FOR THE STUDY OF THE EXCHANGE OF SUBUNITS IN PROTEIN AGGREGATES *

The exchange of subunits between oligomer protein particles depends upon a cycle of dissociations and associations. To examine the dynamics of these cycles we have employed two methods based on the transfer of excitation energy between fluorochromes attached to different subunits of protein oligomers, at various temperatures and pressures. In the heterotransfer method, identical solutions independently labeled with two different fluorophores, donor D and acceptor A, are mixed. The fluorescence spectrum permits the determination of the subunit exchange by the increase in A and decrease in D fluorescence as mixed AD oligomers are formed. In the homotransfer method the aggregates are labeled with fluorescein to the extent that, ideally, each subunit carries a fluorophore. The emission is strongly depolarized because sufficiently often it takes place after a transfer to a fluorophore oriented differently from the one originally excited. Both dissociation and subunit exchange with unlabeled material result in an increase in polarization and can be independently determined by the homotransfer method. Both homo‐ and heterotransfer have been employed in the study of the effect of temperature on the stability of the aggregates and the relation between the rate of dissociation and the rate of exchange when dissociation of oligomers is induced by hydrostatic pressure.
The educative game as a sensitization strategy for the collection of data with adolescents.

UNLABELLED The aim of this study was to understand and analyze the potential of a game as a sensitization strategy for the performance of focal groups with adolescents in investigations into values. Twenty nine groups were realized in 10 social institutions of the municipality of Santo André. The sample was composed of 209 adolescents of 15 to 19 years of age. The results indicated that the majority expressed themselves without difficulties, discussing each of the valorative expressions drawn during the game with resourcefulness, involvement and respect for differing opinions, as well as being a method to promote reflection and stimulate debate about social values. CONCLUSIONS The game was adequate for the collection of data. The ludic character allowed the participation of adolescents in an intense, relaxed, enjoyable and interactive way, which facilitated the deepening of discussions on the topic. The evaluation also identified a strong motivation for adolescents to discuss social values.
Response of Human Gingival Epithelial Cells (HGE-15) to Bioactive Glass RKKP

Purpose: The purpose of this study was histological examination for bioactive glass (RKKP) by using human epithelial gingival cells (HGE-15) through SEM and TEM in vitro.Methods: Commercial titanium alloy (CT), RKKP, Plastic culture dishes (F) were used in this experiment. 10×105 HGE-15 cells were inoculated on the each samples, and cultured for 30 minutes, 1 hour, 2 hours, and 24 hours for SEM. For TEM, HGE-15 cells were cultured for 24 hours and 1 week. The cells were fixed in 2.5% glutaraldehyde, dehydrated conventionally, and subjected to critical point drying. The cells were then coated with gold and examined by SEM. For TEM, HGE-15 cells were fixed in 2.5% glutaraldehyde, postfixed in 1% osmium tetroxide, dehydrated, and embedded in Epon 812. The materials were removed with liquid nitrogen and re-embedded and double-stained, and examined.Results: SEM findings: On RKKP, though increase and spreading of cells were delayed compared with F and CT after 30 minutes, 1 hour and 2 hours, however, samples were mostly covered with polygonal-shaped cells conclusively 24 hours after incubation. TEM findings: We have observed the double-layer structure on F and CT at the interface. On RKKP, recognized the density layer near the interface. HGE-15 cells were bonded directly to the RKKP.Conclusion: We have concluded that the RKKP indicated biocompatibility and bioactive property to HGE-15 cells morphologically from SEM and TEM findings in vitro
A facile means for the identification of indolic compounds from plant tissues.

The bulk of indole-3-acetic acid (IAA) in plants is found in the form of conjugated molecules, yet past research on identifying these compounds has largely relied on methods that were both laborious and inefficient. Using recent advances in analytical instrumentation, we have developed a simple yet powerful liquid chromatography-mass spectrometry (LC-MS)-based method for the facile characterization of the small IAA conjugate profile of plants. The method uses the well-known quinolinium ion (m/z 130.0651) generated in MS processes as a signature with high mass accuracy that can be used to screen plant extracts for indolic compounds, including IAA conjugates. We reinvestigated Glycine max (soybean) for its indoles and found indole-3-acetyl-trytophan (IA-Trp) in addition to the already known indole-3-acetyl-aspartic acid (IA-Asp) and indole-3-acetyl-glutamic acid (IA-Glu) conjugates. Surprisingly, several organic acid conjugates of tryptophan were also discovered, many of which have not been reported in planta before. These compounds may have important physiological roles in tryptophan metabolism, which in turn can affect human nutrition. We also demonstrated the general applicability of this method by identifying indolic compounds in different plant tissues of diverse phylogenetic origins. It involves minimal sample preparation but can work in conjunction with sample enrichment techniques. This method enables quick screening of IAA conjugates in both previously characterized as well as uncharacterized species, and facilitates the identification of indolic compounds in general.
High‐performance peptide identification by tandem mass spectrometry allows reliable automatic data processing in proteomics

In a previous paper we introduced a novel model‐based approach (OLAV) to the problem of identifying peptides via tandem mass spectrometry, for which early implementations showed promising performance. We recently further improved this performance to a remarkable level (1–2% false positive rate at 95% true positive rate) and characterized key properties of OLAV like robustness and training set size. We present these results in a synthetic and coherent way along with detailed performance comparisons, a new scoring component making use of peptide amino acidic composition, and new developments like automatic parameter learning. Finally, we discuss the impact of OLAV on the automation of proteomics projects.
Natural Language and Inference in a Computer Game

We present an engine for text adventures - computer games with which the player interacts using natural language. The system employs current methods from computational linguistics and an efficient inference system for description logic to make the interaction more natural. The inference system is especially useful in the linguistic modules dealing with reference resolution and generation and we show how we use it to rank different readings in the case of referential and syntactic ambiguities. It turns out that the player's utterances are naturally restricted in the game scenario, which simplifies the language processing task.
Effects of current density, coating thickness, temperature, pH and particle concentration on internal stress during Ni–MoS2 electrocodeposition

Internal stress in plated deposits has been a common problem that may affect the functionality of coatings. Electrodeposition parameters and insoluble particles modify the characteristics and the level of internal stress of coatings. The influence of the electrocodeposition parameters and their interaction effects on the internal stress during the electrodeposition of Ni and Ni–MoS2 composite coatings were studied by fractional factorial design. The parameters studied and their ranges were: MoS2 particle concentration (0–10 g L−1), temperature (30–50°C), pH (2–4), current density (1·2–4·8 A dm−2), and coating thickness (25–50 μm). MoS2 addition into Watts bath resulted in the decrease in the tensile internal stress values or even changed the stress character from tensile to compressive. Moreover, low stress values were obtained when pH was 2 and coating thickness was 50 μm.
Adaptive Weighting for Flexible Estimation in Nonparametric Regression Models

OF DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Statistics The University of New Mexico Albuquerque, New Mexico May, 2011 Adaptive Weighting for Flexible Estimation in Nonparametric Regression Models. by Alvaro Nosedal-Sánchez B.S., Universidad Nacional Autónoma de México, 2000 M.S., Statistics, University of New Mexico, 2007 PhD, Statistics, University of New Mexico, 2011
Soft Correspondences in Multimodal Scene Parsing

Exploiting multiple modalities for semantic scene parsing has been shown to improve accuracy over the singlemodality scenario. However multimodal datasets often suffer from problems such as data misalignment and label inconsistencies, where the existing methods assume that corresponding regions in two modalities must have identical labels. We propose to address this issue, by formulating multimodal semantic labeling as inference in a CRF and introducing latent nodes to explicitly model inconsistencies between two modalities. These latent nodes allow us not only to leverage information from both domains to improve their labeling, but also to cut the edges between inconsistent regions. We propose to learn intradomain and inter-domain potential functions from training data to avoid hand-tuning of the model parameters. We evaluate our approach on two publicly available datasets containing 2D and 3D data. Thanks to our latent nodes and our learning strategy, our method outperforms the state-of-the-art in both cases. Moreover, in order to highlight the benefits of the geometric information and the potential of our method in simultaneous 2D/3D semantic and geometric inference, we performed simultaneous inference of semantic and geometric classes both in 2D and 3D that led to satisfactory improvements of the labeling results in both datasets.
Dispersibility of Carbon Nanotubes

Availability of a stable carbon nanotube suspension is a prerequisite for production of polymer composites with carbon nanotube as additives. In this work nanotube suspensions, which have been prepared from various nanotubes in different dispersion agents, were compared. Dispersibility of the samples was investigated by scanning electon microscopy and atomic force microscopy. Solution of a non-ionic surfactant was also used successfully as a new dispersion agent. Geometrical parameters of the carbon nanotubes were determined by using atomic force microscopy. Correlation was found between the dispersibility and the parameters of the nanotubes and relative permittivity of the different solvents.
Associations of Body Mass Index with Sexual Risk-Taking and Injection Drug Use among US High School Students

The purpose of this study was to determine if body mass index (BMI) is associated with behaviors that may increase risk for HIV and other sexually transmitted diseases (STDs) among US high school students. We analyzed nationally representative data from the 2005–2011 national Youth Risk Behavior Surveys (YRBS) to examine associations of BMI categories with sexual risk behaviors and injection drug use among sexually active high school students, using sex-stratified logistic regression models. Controlling for race/ethnicity and grade, among female and male students, both underweight (BMI < 5th percentile) and obesity (BMI ≥ 95th percentile) were associated with decreased odds of being currently sexually active (i.e., having had sexual intercourse during the past 3 months). However, among sexually active female students, obese females were more likely than normal weight females to have had 4 or more sex partners (odds ratio, OR = 1.59), not used a condom at last sexual intercourse (OR = 1.30), and injected illegal drugs (OR = 1.98). Among sexually active male students, overweight (85th percentile ≤ BMI < 95th percentile) was associated with not using a condom at last sexual intercourse (OR = 1.19) and obesity was associated with injection drug use (OR = 1.42). Among sexually active students, overweight and obesity may be indicators of increased risk for HIV and other STDs.
A lower dimensional task function method for point-to-point control of non-redundant manipulators

This paper proposed a task function method for the point-to-point (PTP) control problem of non-redundant robot manipulators. A task function to compress the conventional task space to a new one with lower dimensions increases the redundancy degree so that the original manipulator becomes a redundant one, such that we can apply redundant control laws to achieve online subtasks, such as obstacle avoidance without trajectory replanning. The four basic properties of the task function method which are necessary to ensure the good performance of the PTP control problem are presented. The experiment results verify the effectiveness of the presented method.
A tag feedback based sorting algorithm for social search

The social search use social ability to participate in the screening and sorting of search results in order to make the result to tend to reflect the hopes of the people better. Based on the prototype of social search, the concept of user tag feedback scores is employed. Based on this concept, a tag-based feedback web ranking algorithm is designed. The algorithm can efficiently use the user's feedback. Finally, a variety of evaluation methods are used to analyze the search results of different sort. The experiments show that the new sorting algorithm can meet the user's real needs better.