Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effectiveness of Narrative Writing Text Learning by Using Direct Instructional Models and ARIAS Models Based on Learning Styles for VII Grade Junior High School Students

The purpose of this research is to examine the effectiveness of learning to present the creative ideas in the form of narrative text using direct instruction models and ARIAS models based on learning styles of students of class VII junior high school. So far, the learning process of writing is still theoretical, emphasizing aspects of knowledge and understanding only, the teacher in using the learning model is still less than optimal, while the aspect of practice has not gotten the teacher's attention. The results of this research can prove the effectiveness of the use of direct instruction models and ARIAS models for students who are visual and auditory learning styles so that their learning outcomes are optimal. The method used in this research is quasi-experimental. Research data collection techniques using test instruments of narrative text writing skills, learning style tests, and observations. Normality test using Kolmogorov Smirnov test on SPSS 16 program, a test of Levene test homogeneity, and hypothesis testing with 2x2 variant analysis. The conclusions of the results of this research are (1) the use of direct instruction models is more effective for students who have an auditory learning style and the use of the ARIAS model is more effective for students who have a visual learning style, (2) narrative text writing skills of students who have auditory learning styles are different from students' narrative text writing skills who have a visual learning style, (3) learning models and learning styles of students influence the writing skills of narrative text of VII grade junior high school students.
Optical anisotropic coatings for polarization control in high-power lasers

In this work, a novel multi-layer approach of high band-gap birefringent columnar coatings was proposed and investigated. The growth of anisotropic columnar nano-structures with elliptical shape cross-section was initiated by self-shadowing effect, which was induced by placing the substrate at oblique angle during the deposition process. Amorphous silica was deposited in so-called serial bi-deposition manner to form anisotropic films with high thickness uniformity. The combination of birefringent nano-structured and isotropic layers allows to form zero-order wave-plates with desirable phase delay difference (as an example, λ/4). Low optical losses and high transparency (T~99%) are demonstrated while indicating the potential to withstand laser fluences of 40 J/cm2 and 15 J/cm2 in nanosecond regime at 355 nm and 266 nm wavelengths, respectively.
Muscle-plotter: An Interactive System based on Electrical Muscle Stimulation that Produces Spatial Output

We explore how to create interactive systems based on electrical muscle stimulation that offer expressive output. We present muscle-plotter, a system that provides users with input and output access to a computer system while on the go. Using pen-on-paper interaction, muscle-plotter allows users to engage in cognitively demanding activities, such as writing math. Users write formulas using a pen and the system responds by making the users' hand draw charts and widgets. While Anoto technology in the pen tracks users' input, muscle-plotter uses electrical muscle stimulation (EMS) to steer the user's wrist so as to plot charts, fit lines through data points, find data points of interest, or fill in forms. We demonstrate the system at the example of six simple applications, including a wind tunnel simulator. The key idea behind muscle-plotter is to make the user's hand sweep an area on which muscle-plotter renders curves, i.e., series of values, and to persist this EMS output by means of the pen. This allows the system to build up a larger whole. Still, the use of EMS allows muscle-plotter to achieve a compact and mobile form factor. In our user study, muscle-plotter made participants draw random plots with an accuracy of ±4.07 mm and preserved the frequency of functions to be drawn up to 0.3 cycles per cm.
Analysis and Compensation of Imperfection Effects in Piezoelectric Vibratory Gyroscopes

i ACKNOWLEDGMENTS iii TABLE OF CONTENTS iv NOMENCLATURE vi LIST OF TABLES x LIST OF FIGURES xi CHAPTER 1-Introduction 1 1.1 Principles of Operation of Vibratory Gyroscopes 1 1.2 Review of Vibratory Gyroscope Designs 4 1.3 Effects of Imperfections 8 1.4 Research Objectives 11 1.5 Dissertation Layout 11 CHAPTER 2-Piezoelectric Resonator Modeling 13 2.
Exploring the relationship between mobile phone call intensity and taxi volume in urban area

As urbanization increases rapidly, there is a need for better understanding of the city and how it functions. Increasing digital data produced by the city's inhabitants holds great potential for doing so. In this work, an analysis of mobile phone call intensity and taxi volume in Lisbon, Portugal was carried out. With one source of data describes how city operates socially over mobile phone network and the other characterizes urban dynamic in traffic network, we discovered the inter-predictability between them. Based on one month of observation, we found that the variation in the amount of mobile phone calls was strongly correlated with the taxi volume of the previous two hours. Hence taxi volume can be used to predict mobile phone call intensity of the next two hours. In addition, we found that the level of inter-predictability varied across different time of the day; taxi was a predictor during PM hours while mobile phone call intensity became a predictor for taxi volume in AM hours. Strong correlations between these two urban signals were observed during active hours of the day and active days of the week.
Fiscal Spillovers in the Euro Area

This paper analyses the dynamic effects of fiscal imbalances in a given EMU member state on the borrowing costs of other countries in the euro area. The estimation of a multivariate, multi-country time series model (specifically a Global VAR, or GVAR) using quarterly data for the EMU period suggests that euro-denominated government yields are strongly linked with each other. However, financial markets seem to be able to discriminate among different issuers. Consequently, fiscal imbalances in Italy and in other peripheral countries should be closely monitored by their EMU partners and the European institutions.
Do Errors Matter? The effects of actual and perceived L2 English errors in writing on native and non-native English speakers’ evaluations of the text, the writer and the persuasiveness of the text

Building on studies of L1 error effects in writing, the present study aimed to gain further insight into thecommunicative consequences of actual and perceived L2 errors in writing by investigating their effects beyond theevaluation of text quality. No studies of L2 writing would appear to have investigated the impact of errors onperception of the author and communicative outcomes. We investigated the effect of L2 English errors in persuasivewriting on native and non-native English speakers’ evaluation of the text, of the author, and of the persuasiveness ofthe text. Selected, authentic, errors from a corpus of petitions written in English by Dutch native speakers wereincluded in a stimulus text. Two versions of the text were presented to (non-teacher) participants in a 2 (errors vs. noerrors) by 2 (native vs. non-native judges) between-subject experimental design. It was found that, while actual errorhad no effect on the participants’ evaluation of the text, the author, or the persuasiveness of the text, perceived error(that is, if participants thought the text contained errors) had a significant negative effect on text attractiveness andthe author’s trustworthiness, friendliness and competence. Thus, the findings would suggest that perceived errorplays an important role in how non-teacher judges evaluate a text and its author, and, more generally, that suchjudges would seem to use their own standards of correctness against which to judge writing and the writer, regardlessof whether the judges are native or non-native speakers.
Unsustainable Working Conditions: The Association of Destructive Leadership, Use of Technology, and Workload with Workaholism and Exhaustion

Job demands typical of the current working environments and negative leadership styles may be considered unsustainable factors able to decrease workers well-being. Moreover, contrary to the idea that workaholism is an innate individual characteristic, a recent perspective considers the working context able to foster its insurgence. In order to investigate unsustainable dynamics within organizations, this study aimed at examining whether (1) destructive leadership increases workload and supplemental work supported by technology, (2) the three job demands increases workaholism, and (3) workaholism mediates their relationship with exhaustion. A convenience sample of 432 workers filled in a self-report questionnaire. The structural equation model results showed a positive relationship between destructive leadership and workload, off-work hour Technology-Assisted Job Demand (off-TAJD), and workaholism. Moreover, both workload and off-TAJD partially mediated the relationship between destructive leadership and workaholism. Finally, workaholism was a mediator between the three demands and exhaustion. The study confirmed a positive association between job demands and workaholism, and, in turn, their association with exhaustion, highlighting in particular the role of two under-investigated determinants, namely destructive leadership and off-TAJD, as unsustainable working conditions. Despite limitations, above all the cross-sectional design, this study provided useful indications for research and practice.
p62/SQSTM1 regulates cellular oxygen sensing by attenuating PHD3 activity through aggregate sequestration and enhanced degradation

Summary The hypoxia-inducible factor (HIF) prolyl hydroxylase PHD3 regulates cellular responses to hypoxia. In normoxia the expression of PHD3 is low and it occurs in cytosolic aggregates. SQSTM1/p62 (p62) recruits proteins into cytosolic aggregates, regulates metabolism and protein degradation and is downregulated by hypoxia. Here we show that p62 determines the localization, expression and activity of PHD3. In normoxia PHD3 interacted with p62 in cytosolic aggregates, and p62 was required for PHD3 aggregation that was lost upon transfer to hypoxia, allowing PHD3 to be expressed evenly throughout the cell. In line with this, p62 enhanced the normoxic degradation of PHD3. Depletion of p62 in normoxia led to elevated PHD3 levels, whereas forced p62 expression in hypoxia downregulated PHD3. The loss of p62 resulted in enhanced interaction of PHD3 with HIF-&agr; and reduced HIF-&agr; levels. The data demonstrate p62 is a critical regulator of the hypoxia response and PHD3 activity, by inducing PHD3 aggregation and degradation under normoxia.
An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads

Reducing energy consumption in multi-processor systems-on-chip (MPSoCs) where communication happens via the network-on-chip (NoC) approach calls for multiple voltage/frequency island (VFI)-based designs. In turn, such multi-VFI architectures need efficient, robust, and accurate run-time control mechanisms that can exploit the workload characteristics in order to save power. Despite being tractable, the linear control models for power management cannot capture some important workload characteristics (e.g., fractality, non-stationarity) observed in heterogeneous NoCs, if ignored, such characteristics lead to inefficient communication and resources allocation, as well as high power dissipation in MPSoCs. To mitigate such limitations, we propose a new paradigm shift from power optimization based on linear models to control approaches based on fractal-state equations. As such, our approach is the first to propose a controller for fractal workloads with precise constraints on state and control variables and specific time bounds. Our results show that significant power savings (about 70%) can be achieved at run-time while running a variety of benchmark applications.
Effects of Common Polymorphisms rs11614913 in miR-196a2 and rs2910164 in miR-146a on Cancer Susceptibility: A Meta-Analysis

Background MicroRNAs regulate gene expression at the post-transcriptional level and involved in diverse biological and pathological processes, including tumorigenesis. Rs11614913 in miR-196a2 and rs2910164 in miR-146a are shown to associate with increased/decreased cancer risk. We performed a meta-analysis to systematically summarize the possible association. Methodology/Principal Findings We assessed published studies of the association between these microRNA polymorphisms and cancer risk from eleven studies with 16,771 subjects for miR-196a2 and from ten studies with 15,126 subjects for miR-146a. As for rs11614913, the contrast of homozygote (TT vs CC: OR = 0.92, 95% CI = 0.85–0.99, P heterogeneity = 0.45), allele (T vs C: OR = 0.96, 95% CI = 0.92–0.99, P heterogeneity = 0.61) and recessive model (OR = 0.90, 95% CI = 0.84–0.97, P heterogeneity = 0.50) produced statistically association. Subgroup analysis by ethnicity, statistically significantly decreased cancer risks were found among Asians for allele contrast (OR = 0.95, 95% CI = 0.90–0.99, P heterogeneity = 0.74) and the recessive genetic model (OR = 0.90, 95% CI = 0.82–0.98, P heterogeneity = 0.85). According to subgroup analysis by tumor types, the protective effect of C/T polymorphism was only found in breast cancer under allele contrast (T vs C: OR = 0.94, 95% CI = 0.88–0.99, P heterogeneity = 0.26). For rs2910164, no significant associations were found among overall analysis model with relatively large heterogeneity. Through the stratified analysis, heterogeneity decreased significantly. In the subgroup analyses by cancer types, the C allele of rs2910164 was associated with protection from digestive cancer in allele contrast (C vs G: OR = 0.86, 95% CI = 0.77–0.96, P heterogeneity = 0.51). Conclusions/Significance Our meta-analysis suggests that the rs11614913 most likely contributes to decreased susceptibility to cancer, especially in Asians and breast cancer. Besides, the C allele of the rs2910164 might be associated with a protection from digestive cancer.
Competition vs. Fairness – Analyzing Structured Networks by Means of User Experiments

We investigate how to ensure efficiency (in the economic sense of the word) in structured networks, with a focus on heterogeneity. A network is structured if the network designer has predefined some relationships between individuals (aka. nodes). Structured networks have turned out to be surprisingly efficient - at least as long as nodes face the same costs and benefits, i.e., are homogeneous [S. Schosser et al., 2006]. However, the homogeneity assumption is unnatural and restrictive. Economic experiments in general (not with a focus on structured networks) suggest that heterogeneity is in the way of efficiency, i.e., reduces the sum of all payoffs. This is because individuals favor outcomes where everybody earns the same. This paper describes behavioral experiments that investigate this issue, i.e., the influence of heterogeneity on efficiency in structured networks. We show that most nodes in structured networks cooperate even if they earn less than others. Our explanation is that - with our design - competition enhances cooperation. This effect is rarely observed with other networks as well as in other, less specific settings where competition is in the way of cooperation. This result is an important step towards establishing networks that yield more tangible payoffs for its nodes.
Las estrategias de aprendizaje y las metas académicas en función del género, los estilos parentales y el rendimiento en estudiantes de secundaria

This paper aims to study the relationship between learning strategies, goal orientations and academic performance of students, considering the influence of parenting styles and gender differences. The Motivated Strategies for Learning Questionnaire (MSLQ), the Goal Orientation Scale and the Parental Bonding Instrument (PBI) were administered to a sample of 221 high school students, aged from 12 to 17 years. Results show significant differences: first with respect to gender, on organizational strategy and self-enchancing and avoidance task goal orientations; second regarding parenting styles, about strategies, goals and academic performance, with better result on democratic and permissive styles; and third about performance, with worse results for the lowest level of performance. This work suggests the need to consider the studied variables when guiding families and students to improve their learning processes and academic performance. Finally, this study draws some conclusions we think that should be taken into account in related future works.
Size, distribution, and persistence of genets in local populations of the late-stage ectomycorrhizal basidiomycete, Russula brevipes.

• The spatial mapping of genets from sporocarps allows determination of the primary modes of reproduction of ectomycorrhizal fungi. The goals of this research were to determine the relative size, density, and persistence of genets of Russula brevipes , a late successional basidiomycete, in mature stands of lodgepole pine ( Pinus contorta ) and Sitka spruce ( Picea sitchensis ). • Sporocarps were mapped and genets were identified using species-specific hypervariable microsatellite markers. • Most of the sporocarps sampled in clumped aggregations were the same genet and occupied areas less than 3 m. The largest distance measured between two sporocarps of the same genet was 18 m. In local populations of R. brevipes associated with Sitka spruce, genets were comprised of largely related individuals, whereas in lodgepole pine, most genets appeared unrelated. • High genotypic diversity in Sitka spruce stands suggests frequent mating and recombination between local inhabitants from primary establishment of basidiospores. In lodgepole pine, fewer, unrelated genotypes of R. brevipes indicates that multiple sources of colonization arose from infrequent, long distance spore dispersal events.
Pemanfaatan ICT dalam Meningkatkan Kemampuan Literasi Matematika

Hasil studi PISA tahun 2015 menunjukkan bahwa kemampuan literasi matematika peserta didik di Indonesia masih rendah, yaitu berada pada posisi 64 dari 72 negara. Hal ini perlu menjadi perhatian, karena meskipun telah dilakukan pengembangan kurikulum oleh pemerintah dan tercatat sejak tahun 2000 – 2017 telah berganti sebanyak tiga kali, namun kenyataannya belum banyak perubahan yang dicapai, khususnya pada kemampuan literasi matematis peserta didik. Rendahnya kemampuan literasi matematis peserta didik dipengaruhi oleh rendahnya kualitas pembelajaran matematika. Pembelajaran dengan memanfaatkan ICT (Informastion and communication technologies) sebagai media sangat penting karena dilihat dari segi pengajaran maupun materi, keduanya mempengaruhi hasil dan minat peserta didik dalam belajar. ICT juga dapat membantu guru dalam menjelaskan materi-materi matematika yang bersifat abstrak sehingga mudah dipahami oleh siswa. Hasil dari beberapa penelitian menyatakan bahwa penggunaan ICT dalam pembelajaran matematika memberikan dampak positif terhadap kemampuan penalaran, komunikasi matematis, pemecahan masalah, dan koneksi matematis, dimana kemampuan-kemampuan tesebut termasuk ke dalam lima kompetensi pada literasi matematis. Sehingga secara tidak langsung, penggunaan ICT dalam pembelajaran matematika dapat meningkatkan kemampuan literasi matematis peserta didik.
Duration, Trading Volume and the Price Impact of Trades in an Emerging Futures Market

This paper examines the price impact of trading intensity on an emerging futures market. Utilizing a novel volume-augmented duration model of price discovery, the intensity effect is decomposed into liquidity and information components for the MexDer 28-day interest rate futures contract. We find that the duration between transactions exerts a positive influence on price changes. Increases in order flow and trade volume exert a positive and negative influence on price changes, respectively. The liquidity and information coefficients exhibit a contrasting effect on returns. The dominance of the liquidity component suggests that it is the liquidity traders who dictate the time to trade.
Fuzzy Autoregressive Rules: Towards Linguistic Time Series Modeling

Fuzzy rule–based models, a key element in soft computing (SC), have arisen as an alternative for time series analysis and modeling. One difference with preexisting models is their interpretability in terms of human language. Their interactions with other components have also contributed to a huge development in their identification and estimation procedures. In this article, we present fuzzy rule–based models, their links with some regime-switching autoregressive models, and how the use of soft computing concepts can help the practitioner to solve and gain a deeper insight into a given problem. An example on a realized volatility series is presented to show the forecasting abilities of a fuzzy rule–based model.
An Experimental Study on Dynamic Bank Partitioning of DRAM in Chip Multiprocessors

Concurrent execution of multiple applications on chip multiprocessors leads to interference at different level of shared resources like the banks of a DRAM. There are a few studies in literature suggest that we can dynamically partition the DRAM banks among the running processes. However, a detailed performance statistics is not available in existing literature. In this paper, we made a comparative study of DRAM bank allocation algorithms between static and dynamic bank allocation algorithms on a large number of SPEC CPU 2006 benchmarks. We conclude that, though per application performance increases for few applications, there is no benefit in overall system performance.
The Expression of Programmed Death-1 in Circulating CD4+ and CD8+ T Cells during Hepatitis B Virus Infection Progression and Its Correlation with Clinical Baseline Characteristics

Background/Aims Programmed death-1 (PD-1) expression was investigated in CD4+ and CD8+ T cells from hepatitis B virus (HBV)-infected patients at the chronic hepatitis B (CHB) infection, liver cirrhosis (LC), and hepatocellular carcinoma (HCC) stages. Methods PD-1 expression in circulating CD4+ and CD8+ T cells was detected by flow cytometry. The correlations between PD-1 expression and HBV viral load, alanine aminotransaminase (ALT) levels and aspartate aminotransferase (AST) levels were analyzed using GraphPad Prism 5.0. Results PD-1 expression in CD4+ and CD8+ T cells was significantly increased in both the CHB group and advanced-stage group (LC plus HCC). In the CHB group, PD-1 expression in both CD4+ and CD8+ T cells was positively correlated with the HBV viral load, ALT, and AST levels. However, in the LC plus HCC group, significant correlations between PD-1 expression and the clinical parameters were nearly absent. Conclusions PD-1 expression in peripheral CD4+ and CD8+ T cells is dynamic, changes with HBV infection progression, and is related to HBV viral load and liver function, especially in CHB. PD-1 expression could be utilized as a potential clinical indicator to determine the extent of virus replication and liver injury.