Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Electrolyte Service Life of Treating AZ91D by Micro Arc Oxidation

With the development of micro arc oxidation and the growing maturity of the industrialization, the electrolyte service life and stability attract more and more people. In this paper, the electrolyte service life was researched. Under the same technological conditions, it was found that the critical factors affecting the electrolyte service life are the single-processing area and the electrolyte volume. With prolonging the working time of the electrolyte, the gel deposition mass in the electrolyte and the initial voltage always change. The experiment indicates that the electrolyte service life will assume the curve extension when reducing the single-processing area or increasing the solution volume. To some extent, the initial voltage and gel deposition can indicate the active state of the electrolyte, and can be considered as the sign whether the electrolyte service life becomes due.
Tweet Data mining : the Cultural Microblog Contextualization Data Set

This paper presents an overview of the data set that was used for the Cultural Microblog Contextualization Workshop at CLEF 2016 and more specifically for the task 1: tweet contextualization. In this paper we first present a descriptive analysis of the data: we consider the variables or features associated with the tweets and analyse them. Then we also analyse the tweet textual content. The results of this work correspond to a first step toward data quality checking. It can also useful in order to understand better the data and its usefulness for some tasks or case studies.
Social Identity, Passion and Well-Being in University Students, the Mediating Effect of Passion

Abstract Research on positive emotions associated with the performance of an activity, such as work or study, has increased exponentially in recent years. Passion is understood as an attitude and intense emotion in the performance of an activity, and it has shown both positive and negative consequences for well-being. A link between social identity and positive emotions through social category membership has been described. The aim of this work is to study the relationship between social identity, the dimensions of passion and the positive impact on university responses. A quasi-experimental design was used on a sample of 266 university students from different Spanish universities (Universidad Nacional de Educación a Distancia, Universidad Miguel Hernández and Universidad de Alicante). Descriptive analyzes were performed on the study’s variables using SPSS 18. Structural equation modeling was carried out with AMOS 18 and the mediational analysis with MODMED macro developed by Preacher, Rucker, and Hayes (2007). The results show that the identity of the studies had an indirect effect on positive responses mediated by passion for the studies (RMSEA = .07; CFI = .97; NFI = .96; TLI = .92). It is observed that the harmonious and obsessive dimensions of passion differ in the mediating effect on happiness and satisfaction with studies. Practical and theoretical implications for well-being are discussed.
Principles of superplastic diffusion bonding

AbstractSuperplastic diffusion bonding is now established as an important technique for solid state bonding. There are two types of superplastic diffusion bonding using either transformation or isothermal superplasticity. In this overview, the principles of these two types are summarised and the applications are discussed, including superplastic forming with concurrent diffusion bonding (the SPF-DB process), pressure welding, and the use of superplastic diffusion bonding in sintering.MST/835
Speech Recognition for Illiterate Access to Information and Technology

—In rural Tamil Nadu and other predominantly illiterate communities throughout the world, computers and technology are currently inaccessible without the help of a literate mediator. Speech recognition has often been suggested as a key to universal access, but success stories of speech-driven interfaces for illiterate end users are few and far between. The challenges of dialectal variation, multilingualism, cultural barriers, choice of appropriate content, and, most importantly, the prohibitive expense of creating the necessary linguistic resources for effective speech recognition are intractable using traditional techniques. This paper, presents an inexpensive approach for generating the linguistic resources needed to support Tamil Market, a spoken dialog system that provides daily prices for crops, agricultural techniques, and daily local news bulletins to rural farmers in Tamil Nadu. In our approach, data collection is integrated into dialog design: users of a given village are recorded during interactions, and their speech semi-automatically integrated into the acoustic models for that village, thus generating the linguistic resources needed for automatic recognition of their speech. Our design is multi-modal, scalable, and modifiable. It is the result of an international, cross-disciplinary collaboration between researchers and NGO workers that serve the rural poor in Tamil Nadu. Our ground work includes user studies, stakeholder interviews and field recordings of literate and illiterate agricultural workers in three districts of Tamil Nadu over the summer and fall of 2005. Automatic speech recognition experiments simulating the spoken dialog systems' performance during initialization and gradual integration of acoustic data informed the holistic structure of the design. Our research addresses the unique social and economic challenges of the developing world by relying on modifiable and highly transparent software and hardware, by building on locally available resources, and by emphasizing community operation and ownership through training and education. Tamil Market is scheduled for deployment in the spring of 2006.
NETAL: HIGH-PERFORMANCE IMPLEMENTATION OF NETWORK ANALYSIS LIBRARY CONSIDERING COMPUTER MEMORY HIERARCHY( SCOPE (Seminar on Computation and OPtimization for new Extensions))

The use of network analysis has increased in various fields. In particular, a lot of attention has been paid to centrality metrics using shortest paths, which require a comparatively smaller amount of computation, and the global characteristic features within the network. While theoretical and experimental progress has enabled greater control over networks, large amounts of computation required for dealing with large-scale networks is a major hurdle. This research is on high-performance network analysis considering the memory hierarchy in a computer; it targets extremely important kernel types called shortest paths and centrality. Our implementation, called NETAL (NETwork Analysis Library), can achieve high efficiency in parallel processing using many-core processors such as the AMD Opteron 6174, which has the NUMA architecture. We demonstrated through tests on real-world networks that NETAL is faster than previous implementations. In the all-pairs shortest paths for the weighted graph USA-road-d.NY. gr (n =264K, m =734K), our implementation solved the shortest path distance labels in 44.4 seconds and the shortest paths with multiple predecessors in 411.2 seconds. Compared with the 9th DIMACS benchmark solver, our implementation is, respectively, 302.7 times and 32.7 times faster. NETAL succeeded in solving the shortest path distance labels for the USA-road-d.USA. gr (n =24M, m =58M) without preprocessing in 7.75 days. Numerical results showed that our implementation performance was 432.4 times that of the ∆-stepping algorithm and 228.9 times that of the 9th DIMACS benchmark solver. Furthermore, while GraphCT took 18 hours to compute the betweenness of web-BerkStan, our implementation computed multiple centrality metrics (closeness, graph, stress, and betweenness) simultaneously within 1 hour. A performance increase of 2.4-3.7 times compared with R-MAT graph was confirmed for SSCA#2.
A Novel Web Service Catalog System Supporting Distributed Service Publication and Discovery

Current proposals for Web services infrastructures focus on centralized approaches such as UDDI. However, with the growing number of Web services available on the Web, such a centralized approach quickly becomes impractical. In this paper, we present a novel distributed Web services catalog system, to support decentralized Web service publication and discovery. By utilizing the distributed hash table (DHT) functionality of peer-to-peer (P2P) computing, Web service catalog information is routed directly to each node in this system, and each node shoulders part of the catalog. But in P2P network, every peer is equally treated, and it does not allow peers with common business interest to federate partnerships. In fact, most applications only focus on publication and discovery of services with interest to their respective business domains. In our work, we have made improvements for this limitation, and proposed the hierarchical Web services catalog system, which enables efficient Web service publication and discovery within a specific business domain. Our initial experiments have shown that the distributed catalog system has good scalability
A PRECISE PHYSICAL ORBIT FOR THE M-DWARF BINARY GLIESE 268

We report high-precision interferometric and radial velocity (RV) observations of the M-dwarf binary Gl 268. Combining measurements conducted using the IOTA interferometer and the ELODIE and Harvard Center for Astrophysics RV instruments leads to a mass of 0.22596 ± 0.00084 M☉ for component A and 0.19230 ± 0.00071 M☉ for component B. The system parallax as determined by these observations is 0.1560 ± 0.0030 arcsec—a measurement with 1.9% uncertainty in excellent agreement with Hipparcos (0.1572 ± 0.0033). The absolute H-band magnitudes of the component stars are not well constrained by these measurements; however, we can place an approximate upper limit of 7.95 and 8.1 for Gl 268A and B, respectively. We test these physical parameters against the predictions of theoretical models that combine stellar evolution with high fidelity, non-gray atmospheric models. Measured and predicted values are compatible within 2σ. These results are among the most precise masses measured for visual binaries and compete with the best adaptive optics and eclipsing binary results.
Topology Optimization for Hybrid Electric Vehicles With Automated Transmissions

Currently, many different topologies are designed with different transmission technologies such as automated manual transmission (AMT) and continuously variable transmission (CVT). The choice of topology determines the energy-flow efficiency between the hybrid system, the engine, and the vehicle wheels. The optimal topology minimizing fuel consumption is influenced by the transmission technology. Therefore, an AMT (high efficiency) and a push-belt CVT (moderate efficiency), are used in this research for comparison. In addition, a controlled switching topology is introduced as a benchmark, where controlled coupling with additional clutches of the electric machine before or after the transmission minimizing transmission losses and improving hybrid performance is investigated. The results showed that a switching topology can significantly improve CO2 emission reduction (average relative improvements between 2% and 7%), particularly for CVT-based hybrid vehicles. Moreover, in case of an AMT, a precoupled topology is preferable, and in the case of a CVT, a postcoupled is preferable for full-hybrid vehicles. For these cases, selecting the optimal fixed topology can improve the relative CO2 emission reduction between 2% and 8%.
Auditory Function After Spinal Anesthesia

Objective. To determine the effect of spinal anesthesia using 26-gauge needles on hearing. Methods. Eighteen male patients undergoing transurethral resection of the prostate (TURP) or other transurethral procedures under spinal or epidural anesthesia were studied prospectively to reveal possible auditory side effects of dural puncture or absorption of irrigation fluid to the blood stream. Measurement of auditory function by pure tone, Bekesy and speech audiometry, and measurement of serum concentrations of sodium, potassium, urea, and glucose were performed preoperatively and postoperatively. Clinical examination of cranial nerve functions was performed postoperatively. Results. No mean change in hearing ability was seen in any group. One patient had severe, transient, low-frequency hearing loss with simultaneous severe postdural puncture headache. A statistically significant postoperative fall in serum osmolarity was noted in the epidural TURP group. Conclusion. Transient, severe hearing loss may still occur after spinal anesthesia using a 26-gauge needle. Minor hearing loss does not seem to be a problem with this needle size.
Shigella and Autophagy

Bacterial invasion of eukaryotic cells, and host recognition and elimination of the invading bacteria, determines the fate of bacterial infection. Once inside mammalian cells, many pathogenic bacteria enter the host cytosol to escape from the lytic compartment and gain a replicative niche. Recent studies indicate that autophagy also recognizes intracellular bacteria. Although autophagy is a conserved membrane trafficking pathway in eukaryotic cells that sequesters undesirable or recyclable cytoplasmic components or organelles and delivers them to lysosomes, autophagy has recently been described as playing a pivotal role as an intracellular surveillance system for recognition and eradication of the pathogens that have invaded the cytoplasm. Indeed, unless they are able to circumvent entrapping by autophagosomes, bacteria ultimately undergo degradation by delivery into autolysosomes. In this review we discuss recent discoveries regarding Shigella strategies for infecting mammalian cells, and then focus on recent studies of an elegant bacterial survival strategy against autophagic degradation.
Microstructure and properties of polyhydroxybutyrate-calcium phosphate cement composites

The biopolymer (polyhydroxybutyrate) microparticles-calcium phosphate composites were prepared by mechanical mixing of the basic composite components with the addition of hardening liquid after ethanol-composite mixture suspension moulding. The composite microstructures were more compact than the pure cement samples as confirmed by the lower values of specific areas and mesopore volumes. Both the specific areas and mesopore volumes decreased with soaking time in a simulated body fluid. The low polyhydroxybutyrate degradation in composites was found after soaking in simulated body fluid, which was terminated after one week. The formation of a dense apatite layer bonded directly to the surface of polyhydroxybutyrate microparticles was observed. The highest diametral tensile strength (13 MPa) and compressive strength (95 MPa) values of up to 50 % higher than in pure cement were measured in samples with 10 % of polyhydroxybutyrate. The addition of polyhydroxybutyrate microparticles had no effect on the setting time.
Mobile Customer Satisfaction Research Based on Structural Equation Model - Sampling of Student from Beijing University of Posts and Telecommunications

This article studies the practical significance of Chinese Mobile operators improve customer satisfaction, conducts researches based on students of Beijing University of Posts and Telecommunications, identifies the impact of mobile customer satisfaction index and uses structural equation modeling to identify the key dimensions that have impact on improving satisfaction. The results show that sales promotions, such as freebies, coupons and raffle have a positive correlation with mobile customer satisfaction, and customers prefer freebies among all kinds of sales promotions. This study also finds that customers personal values are positively correlated to sales promotions; however, there is no significant positive correlation between customers personal value and mobile customer satisfaction.
Modelling Multi-layer Seam Puckering

This paper presents a method for modelling the seam puckering of multi-layer fabrics by considering the thread shrinkage as well as seam structure and fabric compression properties. A theoretical investigation and numerical calculation of forces acting on the sewing thread were carried out. Based on this, the forces causing the thread tension puckering were analyzed and a seam model to calculate the deformation of a multi-layer seam when threads shrink is presented. Three types of seams were simulated and satisfactory results were obtained
Challenges in Converting Frame-Based Ontology into OWL: the Foundational Model of Anatomy Case-Study

A description logics representation of the Foundational Model of Anatomy (FMA) in the Web Ontology Language (OWL-DL) would allow developers to combine it with other OWL ontologies, and would provide the benefit of being able to access generic reasoning tools. However, the FMA is currently represented in a frame language. The differences between description logics and frames are not only syntactic, but also semantic. We analyze some theoretical and computational limitations of converting the FMA into OWL-DL. Namely, some of the constructs used in the FMA do not have a direct equivalent in description logics, and a complete conversion of the FMA in description logics is too large to support reasoning. Therefore, an OWL-DL representation of the FMA would have to be optimized for each application. We propose a solution based on OWL-Full, a superlanguage of OWL-DL, that meets the expressiveness requirements and remains application-independent. Specific simplified OWL-DL representations can then be generated from the OWL-Full model by applications. We argue that this solution is easier to implement and closer to the application needs than an integral translation, and that the latter approach would only make the FMA maintenance more difficult.
Acipimox, an Inhibitor of Lipolysis, Attenuates Atherogenesis in LDLR-Null Mice Treated With HIV Protease Inhibitor Ritonavir

Objectives—The advent of HIV protease inhibitors has greatly extended the life span of AIDS patients. With an aging HIV+ population, the cardiometabolic side effects of these drugs are becoming increasingly important clinical concerns. The purpose of this study was to test the hypothesis that inhibition of adipose lipolysis will retard atherogenic lesion development induced by the antiviral protease inhibitors. Methods and Results—LDLR-null mice receiving ritonavir were compared with those receiving ritonavir plus lipolysis inhibitor acipimox or vehicle alone to determine how acipimox would affect ritonavir-induced atherogenesis. Intermittent high-fat high-cholesterol diet was used to facilitate optimal atheromatous lesion development. Drug effects were assessed as changes in aortic lesion score, plasma lipid and lipoprotein profile, body fat mass, and insulin-induced suppression of plasma fatty acid concentrations. Ritonavir increased aortic lesions, in association with decreased body fat mass, impaired antilipolysis action of insulin, and increased proatherogenic plasma lipoproteins. All these adverse effects were attenuated by cotreatment with acipimox. Conclusions—Our results provide the first direct evidence that supports the hypothesis that dysregulation of adipose lipolysis is an important contributor to the proatherogenic role of selected HIV protease inhibitors.
Story Version Control and Graphical Visualization for Collaborative Story Authoring

This paper presents a story version control and graphical visualization framework to enhance collaborative story authoring. We propose a media-agnostic story representation based on story beats, events, and participants that describes the flow of events in a storyline. We develop tree edit distance operations for this representation and use them to build the core features for story version control, including visual diff, conflict detection, and conflict resolution using three-way merge. Our system allows authors to work independently on the same story while providing the ability to automatically synchronize their efforts and resolve conflicts that may arise. We further enhance the collaborative authoring process using visualizations derived from the version control database that visually encode relationships between authors, characters, and story elements, during the evolution of the narrative. We demonstrate the efficacy of our system by integrating it within an existing visual storyboarding tool for authoring animated stories, and additionally use it to collaboratively author stories using video and images. We evaluate the usability of our system though two user studies. Our results reveal that untrained users are able to use and benefit from our system. Additionally, users are able to correctly interpret the graphical visualizations and perceive it to benefit collaboration during the story authoring process.
Distribution-based BRDFs

The bidirectional reflectance distribution function (BRDF) formalism is commonly used in computer graphics to represent surface reflection properties. Although many BRDF models have been proposed, most do not possess at least some of the desirable practical properties. In this paper we present a simple and flexible model which satisfies many of these requirements. We show that the proposed model provides a good approximation for many real world materials, obeys basic physical restrictions, allows straightforward hardware implementation and provides for efficient sampling in a Monte-Carlo rendering system. A procedure to fit the model to BRDF measurement data is presented which suggests a simplified way of measuring surface reflection.
Parameterizable Fonts Based on Shape Components

We propose a new, highly flexible font description method that explicitly describes characters as assemblies of parameterizable shape components. By varying global parameters, we can derive fonts that vary in weight, condensation, and shape. Fonts made of shape components are flexible parameterizable designs, which we can easily adapt to various display and printing conditions (such as condensed font when lacking display space, high-quality optical scaling, adaptation of fonts to existing character metrics). Besides applications related to typeface design, fonts based on parameterizable components may be used in portable devices where memory is scarce. A single parameterizable design and its variations may allow enough flexibility for providing both high-quality antialiased fonts at low resolution and typefaces for high-resolution printing.
Ex Vivo Soluble Fas Ligand Treatment of Donor Cells to Selectively Reduce Murine Acute Graft Versus Host Disease

Background. Allogeneic bone marrow transplantation (BMT) and donor lymphocyte infusion (DLI) provide valuable treatments for a range of diseases. However, the therapeutic utility of BMT and DLI is reduced by the high incidence of graft-versus-host disease (GvHD) mediated by activated donor T lymphocytes directed against recipient alloantigens. Methods. Using mouse models, we developed and evaluated a strategy to selectively enhance activation-induced cell death (AICD) of anti-recipient T cells within transplant donor cell populations, with the goal of reducing GvHD. Responder T lymphocytes were incubated ex vivo with irradiated allogenic stimulator cells in a mixed lymphocyte reaction (MLR) in the presence of soluble Fas ligand (sFasL) to induce AICD in alloreactive cells. Results. This ex vivo sFasL treatment reduced proliferation to the allogeneic stimulator cells in vitro and abrogated acute GvHD capacity in vivo. In contrast, the secondary immune responsiveness of the ex vivo sFasL-treated responder T cells to an unrelated model antigen was preserved. Furthermore, upon adoptive transfer in a DLI model, ex vivo sFasL-treated T cells were able to reject a model tumor. Finally, ex vivo sFasL treatment of bone marrow cells did not reduce their hematopoietic engraftment capacity. Conclusions. Thus, ex vivo treatment with sFasL appears to have potential for translation to clinical cell processing of BMT allografts and DLI infusions.