Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of Fiber Reinforced Cementitious Materials for Structural Applications

A great diversity of different cement based fibre reinforced (FRC) materials can be found today either in practical use or under development in research laboratories. These include materials with significantly different material properties as well as materials with very different constituents and structure. At the same time a need for design guidelines for the use of FRC-materials has been widely recognized both by researchers and practical engineers. Design guidelines based on a simple material classification as well as representation of (mechanical) material properties can be considered as a pre-requisite for further advancement of application of innovative FRC materials and for focusing of the research in such materials. The paper discusses and presents a fundamental classification based on the concepts of (pseudo) strain hardening and tension softening. The paper further sheds light on this classification by describing existing and possible structural applications based on the utilization of the material characteristics in serviceability and ultimate limit state. The classification is further substantiated, by presenting simple engineering representations of the mechanical behaviour in the two cases, suitable for structural design. The representation of mechanical properties is related to test methods and the availability of and requirements to standardized methods is discussed. Durability performance is discussed and the required durability performance testing for each class of material is described along with envisioned results. Finally, the implementation of results from durability in the various types of design approach is described.
IMPLEMENTASI MODEL PEMBELAJARAN INKUIRI DAN PROBLEM BASED LEARNING (PBL) TERHADAP KETERAMPILAN GENERIK SAINS BIOLOGI DITINJAU DARI KEMAMPUAN AKADEMIK SISWA

This study aims to analyze the differences of generic skills through the application of inquiry learning model and Problem Based Learning (PBL) in review of the students' different academic ability in SMAN 1 Kayangan. The type of research is quassi experiment with 2x2 factorial design. The population in this study are all students of science class X1, X2 and X3 in SMAN 1 Kayangan with sampling using purposive sampling technique, so that the samples taken are class X science 1 and class X science 2 by implementing different learning model. Data analysis technique using anakova test. Hypothesis test results obtained Fcount = 20,441 with significance level 0,000 (p <0,05) indicate there are difference of generic science skill significant between class X science 1 with mnggunakan inquiry model and kels X science 2 by using PBL learning model. Result of hypothesis test of generic science skill with applying of inquiry learning model to academic ability obtained Fhitung = 34.448 with significance level 0,000 (p <0,05) indicates the interaction of inquiry learning model and PBL toward generic science skill. Keywods: Generic skills, learning models
Evaluating interventions to disengage extremist offenders: a study of the proactive integrated support model (PRISM)

ABSTRACT The literature recognises that the evaluation of interventions to counter violent extremism (CVE) has been neglected. This paper fills this gap by providing results from a study of a disengagement programme in the Australian state of New South Wales. The Proactive Integrated Support Model (PRISM) is a pilot intervention delivered by Corrective Services NSW aimed at prison inmates who have a conviction for terrorism or have been identified as at risk of radicalisation. PRISM is delivered by a team of allied health staff and a Religious Support Officer who work with other stakeholders and professionals. This paper looks at early results of the PRISM intervention focusing on a range of issues, which include client engagement and the content of intervention plans, self-reported motivations to participate in the intervention, benefits of participation, tackling the ideological component of violent extremism, connection to the community corrections context, and implementation challenges. Data is derived from interviews with programme staff, corrective services personnel and also clients of the intervention (i.e. convicted terrorist and radicalised inmates and parolees). Results are linked to existing literature on disengagement and implications for CVE programme evaluation are highlighted. Limitations in the study design are acknowledged.
A Neural Networks filtering mechanism for foreign exchange trading signals

Neural Networks have been successfully used in several financial applications. In the stock market and foreign exchange domains, Neural Networks have been used with considerable success to predict the future prices of stocks and currency pairs, their rate of return, risk analysis, and several other features that might be of benefit. In this paper, we present a methodology to filter the high-frequency signals of a rule-based foreign exchange trading strategy, through a neural network-based, intelligent selection mechanism. We then compare the results vs. a random selection mechanism and again vs. the overall signal pool, in terms of profit and correctness. We can clearly show that the neural network filtering approach yields a better performance than its random baseline.
The Influence of Female Lead Characters in Political TV Shows: Links to Political Engagement

This study examined political television dramas with lead female characters, proposing a model that links viewing of these shows with political engagement. A survey revealed that regular viewers of Madam Secretary, The Good Wife, or Scandal reported feeling transported by these programs’ narratives and parasocial relationships with the main characters (i.e., women in positions of political leadership). These responses were also related to increases in political interest and self-efficacy, with interest predicting real-world political participation. The findings illustrate that these political dramas have prosocial implications, including the non-stereotypical representation of women as well as increased political engagement among viewers.
Costs of Sovereign Default Paoli of the Bank's Monetary Instruments and Markets Division, Glenn Hoggarth of the Bank's International Finance Division and Victoria Saporta of the Bank's Systemic Risk Reduction Division

The larger these default costs, the greater the incentive for debtors to avoid default or, if default occurs, to resolve the crisis as effectively as possible. But to the extent that these costs are not internalised, there may be a role for international official sector intervention, by an agency such as the IMF, to help prevent or resolve debt crises. Distinguishing the size and type of different costs of sovereign default may help to determine where efforts at crisis prevention and management should be most focused. (2)
Polymerization, Energy Transfer and Dielectric Polarization of Microtubules

The cytoplasm of eukaryotic cells includes several types of protein laments referred to jointly as the cytoskeleton. Microtubules are a key structural element of the cytoskeleton and they have been shown to participate in a number of important functions. The complex self-organization processes of microtubules and their networks have been demonstrated to depend crucially on both physical and chemical laboratory conditions. In this paper we discuss the main properties of microtubules and focus our attention on the following physical issues: (a) the assembly and disassembly kinetics, (b) the mechanism of energy transfer along microtubule protoolaments, (c) the role of electric elds, currents and electromagnetic waves, (d) the existence of dipolar phases and (e) the possibility of signal propagation along microtubules.
The Dipeptidyl Peptidase Family, Prolyl Oligopeptidase, and Prolyl Carboxypeptidase in the Immune System and Inflammatory Disease, Including Atherosclerosis

Research from over the past 20 years has implicated dipeptidyl peptidase (DPP) IV and its family members in many processes and different pathologies of the immune system. Most research has been focused on either DPPIV or just a few of its family members. It is, however, essential to consider the entire DPP family when discussing any one of its members. There is a substantial overlap between family members in their substrate specificity, inhibitors, and functions. In this review, we provide a comprehensive discussion on the role of prolyl-specific peptidases DPPIV, FAP, DPP8, DPP9, dipeptidyl peptidase II, prolyl carboxypeptidase, and prolyl oligopeptidase in the immune system and its diseases. We highlight possible therapeutic targets for the prevention and treatment of atherosclerosis, a condition that lies at the frontier between inflammation and cardiovascular disease.
A QoS management system and an efficient scheduling heuristic for network computing applications

The dynamic state conditions of the Network of Work stations (NOW) resources should be used to find the best acceptable tasks-to-machines allocation strate gy b fore a network computing (NC) application is launched. We developed an interactive QoS managemen t system that automatically finds the most efficien t tasks-to-machines mapping at startup time, and in a dition facilitates application adaptation at runti me. The system is self contained and relies on its own midd leware layer to do the resource monitoring and serv icing behind the scenes, at the application-level. It gro ups the available machines into clusters to scale d own the number of required QoS measurements and to facilita te the mapping process. A scheduler considers user requirements and constraints and uses an efficient mapping heuristic to find an acceptable assignment. The performance estimator predicts the overall running time of a given mapping based on application and network models as well as resource state informatio n. The estimated time is used to decide whether the mapping satisfies the QoS targets set by the user. Furthermore, we conducted many simulations that demonstrate the accuracy of the application and net work models as well as the quality of the obtained mappings in different kinds of scenarios and using different types of applications.
Faculty Define the Role of Writing in the Social Sciences of Agriculture

NACTA Journal • June 2015 Abstract Faculty members who teach writing-intensive courses in the social sciences of agriculture defined writing using four themes—writing in agriculture, characteristics of effective writers, teaching writing and writing factors. Writing, as described by faculty, is a window to the brain and helps students retain and transfer knowledge. Therefore, effective writers have an imagination, a dedication to communicating, an understanding of style, a framework for writing, an inquisitive mind, a motivation to write and a want to know more. To become critical thinkers and knowledge creators through writing, students should present and defend a topic to a variety of public audiences, write repetitively and receive rich, timely feedback. Additionally, implementing reading assignments in writing-intensive courses helps students understand the real-world application of writing as well as the language of their discipline. Writing instructors should spend more time, however, linking writing to learning at the beginning of class, explaining how writing can help students learn more about their disciplines and discussing how to transfer writing skills. More research needs to be conducted on each one of the writing factors to determine at what level they impact critical thinking and knowledge creation, if in fact they do at all.
Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization

We consider the search for a maximum likelihood assignment of hidden derivations and grammar weights for a probabilistic context-free grammar, the problem approximately solved by "Viterbi training. " We show that solving and even approximating Viterbi training for PCFGs is NP-hard. We motivate the use of uniformat-random initialization for Viterbi EM as an optimal initializer in absence of further information about the correct model parameters, providing an approximate bound on the log-likelihood.
Differential Host Immune Responses after Infection with Wild-Type or Lab-Attenuated Rabies Viruses in Dogs

Rabies virus (RABV) induces encephalomyelitis in humans and animals. One of the major problems with rabies is that the infected individuals most often do not develop virus neutralizing antibodies (VNA). In this study we have investigated the host immune response to RABV infection in dogs, using a live-attenuated (TriGAS) or a wild-type (wt) (DRV-NG11) RABV isolated from a rabid dog. Methodology/Principal Findings The experimental infection of dogs with TriGAS induced high levels of VNA in the serum, whereas wt RABV infection did not. Dogs infected with TriGAS developed antibodies against the virus including its glycoprotein, whereas dogs infected with DRV-NG11 only developed rabies antibodies that are presumably specific for the nucleoprotein, (N) and not the glycoprotein (G). We show that infection with TriGAS induces early activation of B cells in the draining lymph nodes and persistent activation of DCs and B cells in the blood. On the other hand, infection with DRV-NG11 fails to induce the activation of DCs and B cells and further reduces CD4 T cell production. Further, we show that intrathecal (IT) immunization of TriGAS not only induced high levels of VNA in the serum but also in the CSF while intramuscular (IM) immunization of TriGAS induced VNA only in the serum. In addition, high levels of total protein and WBC were detected in the CSF of IT immunized dogs, indicating the transient enhancement of blood-brain barrier (BBB) permeability, which is relevant to the passage of immune effectors from periphery into the CNS. Conclusions/Significance IM infection of dogs with TriGAS induced the production of serum VNA whereas, IT immunization of TriGAS in dogs induces high levels of VNA in the periphery as well as in the CSF and transiently enhances BBB permeability. In contrast, infection with wt DRV-NG11 resulted in the production of RABV-reactive antibodies but VNA and antibodies specific for G were absent. As a consequence, all of the dogs infected with wt DRV-NG11 succumbed to rabies. Thus the failure to activate protective immunity is one of the important features of RABV pathogenesis in dogs.
Decentralized control of multi-articular snake-like robot for efficient locomotion

The mechanism of multi-articular muscles that contributes to the emergence of macroscopic behavior of animals has not been clarified thus far. To address this issue, we focus on the slithering motion of snakes, which have numerous antagonistic muscle-tendon chains that span several tens of vertebrae. From theoretical analyses based on the continuum model, the acceleration of the body in the longitudinal direction is found to be proportional to the number of segments spanned by each muscle. On the basis of this theoretical result, we propose a decentralized control scheme for the efficient locomotion of a multi-articular snake-like robot. We conduct simulations using this control scheme, and the results show that the locomotion efficiency increases as the number of segments spanned by each muscle increases
The Evolution of Leadership Research in Higher Education for Two Decades (1995-2014): A Bibliometric and Content Analysis

ABSTRACT The present study aims to examine the leadership research in higher education in order to shed light on its development during the last two decades by revealing the evolving trends in research on leadership in higher education, the most prominent scholars working on related research, the most popular topics in related research, and the countries in which the related studies are based. Bibliometric method was employed in the analysis of the original research and review papers published in five prominent higher education journals between 1995 and 2014: Higher Education, Research in Higher Education, Studies in Higher Education, The Journal of Higher Education and The Review of Higher Education. The results of this bibliometric analysis show that the majority of the related articles come from three countries: the U.S.A. , the UK and Australia. It is also found that the leadership research in higher education is still very scarce and has not shown any meaningful increase during the last two decades. In addition, content analysis is used to provide more in-depth information about the topical focus, purpose and methodology of the selected articles. The results of content analyses are discussed in detail, and suggestions for the future research are provided.
Dual Targeting of Endothelial Cells and Pericytes in Antivascular Therapy for Ovarian Carcinoma

Purpose: Pericytes are known to provide a survival advantage for endothelial cells. We hypothesize that strategies aimed at dual targeting of tumor-associated endothelial cells and pericytes will be highly efficacious. Experimental Design: Paclitaxel-sensitive (HeyA8 and SKOV3ip1) or paclitaxel-resistant (HeyA8-MDR) orthotopic tumors in mice were examined for therapeutic efficacy by targeting the endothelial cells (using a vascular endothelial growth factor receptor inhibitor, AEE788) and pericytes (using STI571) alone or in combination. Additional therapy and survival studies in combination with paclitaxel were also done. Following therapy, tumors were examined for endothelial cell apoptosis, pericyte coverage, microvessel density, and proliferation. Results: AEE788 inhibited tumor growth by 45% and 59% in the HeyA8 and SKOV3ip1 models, respectively, whereas STI571 alone was not effective. AEE788 plus STI571 resulted in 69% to 84% inhibition of tumor growth in both models. Moreover, combination of these agents with paclitaxel was even more effective, resulting in up to 98% inhibition of tumor growth. The triple combination was even effective in the HeyA8-MDR model. Remarkably, this triple combination also resulted in improved survival compared with all other groups (P < 0.001) and caused regression of formed tumors. Pericyte coverage was significantly decreased in the STI571 treatment groups, and microvessel density was significantly reduced in the AEE788 treatment groups. AEE788 induced endothelial cell apoptosis, which was further enhanced by the addition of STI571. Conclusions: Strategies targeting both endothelial cells and pericytes are highly effective for in vivo treatment of ovarian carcinoma. This antiangiogenic effect may be partially due to decreased pericyte coverage, thus increasing the sensitivity of tumor vasculature to therapy. These encouraging data support the development of clinical trials based on this strategy.
Real-time beat-synchronous analysis of musical audio

In this paper we present a model for beat-synchronous analysis of musical audio signals. Introducing a real-time beat tracking model with performance comparable to offline techniques, we discuss its application to the analysis of musical performances segmented by beat. We discuss the various design choices for beat-synchronous analysis and their implications for real-time implementations before presenting some beat-synchronous harmonic analysis examples. We make available our beat tracker and beatsynchronous analysis techniques as externals for Max/MSP.
Evaluating the Use of Residential Mailing Addresses in a Metropolitan Household Survey

On-site enumeration is generally regarded as the most comprehensive method for developing sampling frames for area household surveys. However, the time and expense associated with on-site enumeration often precludes it from being a viable option for many household surveys. Residential mailing lists provide an alternative that enables in-person surveys to be done cheaper and faster than is possible with on-site enumeration. The primary drawback of mailing lists is that the completeness of the lists is unknown. In this article, we evaluate the coverage of mailing addresses that were used as a sampling frame for a probability-based survey of 15,000 households in Dallas County, TX. The addresses were obtained from the Delivery Sequence File (DSF) offered by the U.S. Postal Service (USPS) through a nonexclusive license agreement with private companies. The DSF is a computerized file that contains all delivery point addresses serviced by the USPS, with the exception of general delivery. To evaluate the coverage of the mailing addresses, we used Kish's Half-Open Interval (HOI) procedure to search for missed housing units in the interval between the selected address and the next address in delivery sequence order. A total of 46 missed addresses (1.9 percent) were found among the 2,380 HOIs randomly selected for examination. In addition, we discovered that the vast majority of persons who maintained a residential P.O. box also have mail delivered to their street address. Finally, the mailing addresses yielded a 90 percent occupancy rate, which is consistent with metropolitan household surveys that use on-site enumeration methods
Self-paced brain-controlled wheelchair methodology with shared and automated assistive control

The consistency and reliability of the brain computer interface (BCI) system is often questioned to be safe for controlling a wheelchair as BCIs characteristically experience a low signal-to-noise ratio and low classification accuracy. Electroencephalogram (EEG) acquired non-invasively consists of multiple time-series which are highly correlated because of volume conduction and ambient noises, thus providing a rather blurred image of the brain activity. This low signal-to-noise ratio and low spatial resolution of the data can degrade the translational performance of the BCI. To overcome the low classification accuracy and the uncertainty in commands of the BCI systems, the user has to impart additional concentration and time to navigate the wheelchair to the desired location. This paper presents a brain-controlled wheelchair (BCW) control strategy that reduces the total time required to complete a task and the concentration effort imparted by the user. Two BCW approaches are investigated in this work; a synchronous BCW and a self-paced BCW. These methodologies involve a shared control methodology between the BCI/user component and the automated assistive control (AAC) component. The proposed BCW strategies are compared to state-of-the-art BCW control methodologies available in the literature. The results show that the proposed methods not only reduce the concentration time but also provide a safer and reliable control compared to other BCWs.
NTCIR-2 Experiments at Matsushita: Monolingual and Cross-Lingual IR Tasks

In this paper, we describe our results for NTCIR-2 monolingual and cross-lingual IR tasks utilizing MEISTER , a group of software libraries to construct high performance full-text search applications. The results show that the coordination level scoring ( CLS ) which we proposed in NTCIR-1 is again effective forboth short queries and long queries in Japanese monolingual task, and show that some modifications of CLS works slightly better than the original. In Japanese-English cross-lingual task, we show thatutilizing bilingual dictionary with corpus-based termtranslation slightly improves performance of ourapproach that we proposed in NTCIR-1