Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Linguistics and Literacies : Ideology in Discourses

Many people in "literate" societies, when asked to define literacy, almost always do so in terms of reading and writing abilities. This narrow interpretation of literacy, an offspring of reductionist psychology, has reigned supreme in many academic and educational contexts for decades, greatly shaping literacy theories and classroom practices. Within the past ten years, however, a large body of multidisciplinary research has begun to undermine the authority of this perspective by situating literacy in larger social practices. Support for this emerging interdisciplinary perspective has grown, and an increasing emphasis has been placed on the interplay between language, educational practice, and societal features of power and domination. A "cutting edge" exemplar of such work can be found in a series of monographs, anthologies, and textbooks entitled "Critical Perspectives on Literacy and Education. " Social Linguistics and Literacies: Ideology in Discourses, the hook reviewed here, is the introduction to this collection. Firmly located within the paradigm of "social" approaches to literacy, or what Gee calls the "New Literacy Studies," this volume validates many previous research findings and also makes some unique contributions. Gee provides further proof of literacy's ties to social behaviour. He also acknowledges that the indivisible bonds linking language use and social interaction have serious consequences, especially when literacy is deployed to wreak injustice on individuals or groups. Like earlier "New Literacy" researchers, Gee exposes the covert function of reductionist literacy paradigms, namely their justification of educational practices that are party to social, economic, and political inequities. Despite these similarities, Social Linguistics and Literacies (henceforth, SL&L) departs from other "New Literacy Studies" in the specific theoretical and pedagogical alternatives it proposes. According to Gee, this volume ". constitutes an overt theory of literacy and socially-based linguistics" (Introduction: xx) that counters traditional views and frames literacy in terms of abilities to display various social identities. Just as actors need more than lines to convincingly depict their characters, Gee argues that all humans engaged in any sort of social interaction must successfully integrate specific attitudes, beliefs, behaviours, thoughts and uses of language. Moreover, humans must be able to combine these elements in a myriad of ways in order to exhibit different social identities. Consequently, literacy as a mass term gives way to literacies as a count term. These ideas are thoughtprovoking and controversial, yet
Relationship between quadriceps echo intensity and functional and morphological 1 characteristics in older men and women 2 3 4

30 31 The age-related decrease in human skeletal muscle mass; i.e. sarcopenia, has received 32 much attention, but an age-related increase in the ratio of adipose tissue to muscle tissue 33 has received noticeably less. A few studies have shown that ultrasonographic echo 34 intensity, an index of the adipose-to-muscle ratio, is negatively associated with 35 functional capacity, but the best parameters by which to predict this ratio have not yet 36 been established for older individuals. The purpose of this study was to assess the 37 relationships between quadriceps femoris (QF) echo intensity and demographic, 38 functional and morphological characteristics of older men and women. Sixty-four 39 healthy men (n=27) and women (n=37) aged 62-88 years (72.0 ± 5.0 years) participated 40 in this study. The echo intensity and muscle thickness of the QF were calculated using 41 ultrasonography. Sit-up, supine-up, sit-to-stand, 5-m maximal walk and 6-min walk 42 tests were performed. There were no significant differences in QF echo intensity 43 between sexes, but QF echo intensity was significantly correlated with QF muscle 44 thickness. Stepwise multiple regression analysis with QF echo intensity as a dependent 45 variable revealed QF muscle thickness, sit-to-stand test in men and age, and QF muscle 46 thickness and sit-to-stand test in women, to be significant variables. These results 47 suggest that QF echo intensity can be explained by QF muscle thickness, sit-to-stand 48 and/or age in older men and women; however, an “age” effect was present only in men. 49 50 (234 words/max 250 words) 51
High Frequency RF Model of NMOS Transistors on 45 nm CMOS SOI technology

Nanoscale CMOS technology is an excellent platform for implementing single-chip systems because of its low manufacturing cost and integration capability with digital circuits [1]. Cutoff frequency fT and maximum oscillation frequency fMAX of advanced nanoscale Metal Oxide Semiconductor Field Effect Transistor (MOSFET) have surpassed 200 GHz mark, enabling microwave and mm-wave circuit operation [2]. Implementing microwave and mm-wave circuits with first time success remains elusive due to limited accuracy of the available device models on conductive Si substrates. Accordingly, comprehensive deep sub-100 nm MOSFET models that accurately capture DC, RF (including nonlinear) and noise characteristics of transistors are of great demand. Device modeling requires the knowledge and expertise in several distinct areas including mathematical modeling, device physics, high frequency and microwave measurement, electro-thermal analysis, noise analysis, programming, and statistics. Several MOSFET models have already been fully or partially developed [3]–[6]. The widely used threshold voltage based BSIM model employs hundreds of parameter many of them empirical to capture linear and nonlinear RF and noise behavior of modern submicron MOSFET devices. Extraction of so many parameters is cumbersome and has led to the development of many BSIM models with insufficient accuracy. The surface potential based Phillips MOS Model utilizes fewer empirical parameters compared to BSIM model. With over 200 parameters to be extracted, however, the model development is still an enormous challenge given the short time to market for advanced CMOS technologies. Another MOSFET model is the so-called virtual source (VS) model, which uses about ten parameters to describe the nonlinear DC performance of short-channel transistors. This model assumes a semi-ballistic transport mechanism inside nanoscale channels of MOSFETs, leading to a good modeling accuracy [4][7]. The VS model, however, has to be supplemented with bias and geometry dependent parasitic resistances, capacitances, and inductances to become suitable for deployment at high frequencies. To date, the VS model with high frequency capability has been demonstrated for GaN FETs [8]. This model, however, is still unproven for predicting the nonlinear RF to mm-wave behavior of MOSFETs. Furthermore, it has no apparent advantage in predicting the noise behavior of nanoscale MOSFETs at high frequencies over other available MOSFET models.
Title Some Properties of a Multi-Lane Extension of the Kinematic Wave Model Permalink

This paper extends an existing continuum multi-lane formulation for traffic flow, provides a discrete formulation for its numerical solution, and show initial results. The new formulation enables a natural treatment of boundary conditions such as merges, diverges, lane-drops and moving bottlenecks. The proposed model needs few extra parameters and is parsimonious. The look-ahead distance, for example, induces that non-local conditions affect the flow at any time-space point, causing smooth regime changes and fast waves. We find that as the look-ahead distance tends to zero, the solution tends to the KW one. The example of a lane-drop is analyzed.
GOALS, ATIRIBUTIONS AND SELF-EFFICACY AS RELATED TO COURSE CHOICE AND ACADEMIC ACHIEVEMENT OF FIRST-YEAR UNIVERSI1Y STUDENTS

Motivation is described within the context of the expectancy-value theory with emphasis on attributions, self-efficacy and goal orientation. Self-evaluation by means of cognitive capabilities of symbolizing, forethought, vicarious deduction, self-regulation and self-reflectivity, gives the student the necessary self-knowledge of the value he attaches to a learning task, and his expectancy of success. Self-evaluation influences motivation vicariously, as it helps the student to discern his reasons for engaging in a specific task, and to judge his abilities, effort and learning outcomes in the context of the type, and difficulty level of the task. Through guided self-appraisal, based on cognitive, affective and conative involvement, the student develops specific beliefs about the causes to which he attributes performances, his level of self-efficacy and the type of go~ls he pursues. Each of these three constructs, separately and interactionally, is described and the educational implications, for students and lecturers at university level, are discussed.
Optimal Schedulers for Time-Bounded Reachability in CTMDPs by

We study time-bounded reachability in continuous-time Mar kov decision processes for various scheduler classes. Such reach ability problems play a paramount rôle in dependability analysis and the modellin g of manufacturing and queueing systems. Consequently, their analysis has been st udied intensively, and techniques for the approximation of optimal control are wel l understood. From a mathematical point of view, however, the question of approx imation is secondary compared to the fundamental question whether or not optimal control exists. We demonstrate the existence of optimal schedulers for all c ommonly considered scheduler classes. For scheduler classes without full acce ss to time we provide an effective technique to determine simple optimal schedul ers that converge to an easy-to-compute memoryless scheduling policy after a finit e number of steps.
PREDICTING CYBERBULLYING TENDENCIES OF ADOLESCENTS WITH PROBLEMATIC INTERNET USE ERGENLERDE SİBER ZORBALIĞIN YORDAYICISI OLARAK PROBLEMLİ İNTERNET KULLANIMI

Internet technology is evolving rapidly and developments on internet technology bring both helpful and harmful new facts into individuals’ lives. Connecting and communicating with peers by using internet is frequent in popular culture. With many individuals interacting via internet, seeing certain problematic use and bad behaviors are some of the inevitable consequences of this phenomenon. The purpose of this study is to investigate the relationship between problematic Internet use and cyberbullying attitudes among adolescents. This relational study was conducted on 205 high school students. In order to collect data, “Problematic Internet Use Scale-Adolescent”, “Cyberbullying Attitude Scale” and “Personel Information Form” have been used. Research data was analyzed by using frequency and descriptive statistics, Pearson’s correlation test and Regression analysis. Result of the study indicates that there are significant positive relationships between problematic internet use, daily time spent online, cyberbullying attitude and its sub factors which are disguisement, pleasure, approval, anxiety. Although gender had no significant relationship with the most of the variables, female students’ anxiety levels of being cyber-victim was significantly higher than male students. Another finding of this study is that problematic internet use was significant predictor of cyberbullying attitudes, disguisement, pleasure, approval and anxiety. Results were discussed with the existing literature.
Provisional chapter Vitamin K 2 in Animal Health : An Overview

The role of vitamin K in animal health has not received much attention. Vitamin K studies have, for the most part, addressed the use of animals in the investigation of vitamin K physiology and pathophysiology, often using the rodent as a model system. However, vitamin K performs the same role in animals as it does in man and there are areas, such as animal nutrition, where a better understanding of animal requirements in general, and with ageing, could benefit animal health and continued well‐being.
Association between a Polymorphism in miR-34 b / c and Susceptibility to Cancer-a Meta-analysis

MicroRNAs (miRNAs) are a class of non-coding RNA of approximately 20-24 nucleotides in length and highly evolutionarily conserved, which act the role of significant regulators in post transcription of gene expression. Emerging evidence indicates that miRNAs are related with various biological processes, such as cell proliferation, apoptosis, differentiation and metabolism, particularly in carcinogenesis that act as regulators to regulate the expression of tumor genes (Ambros, 2004; Jansson et al., 2012; Ji et al., 2014). Although the exact mechanism underlying miRNA deregulation in cancers remains unknown, some key dysregulated miRNAs have already been used as molecular biomarkers, which could improve diagnosis, prognosis, and monitoring of treatment response for cancers (Ruan et al., 2009). Single nucleotide polymorphisms (SNPs) are a kind of genetic variations associated with population diversity, disease susceptibility, drug metabolism and genome evolution (Hanchard, 2005). SNPs located in miRNA genes region could affect miRNA expression or maturation and then contribute to cancer risk (Parlayan et al., 2014). Thus, SNPs in miRNAs are ideal predictive factor for cancer risk, because they could generate significant effect in the development of cancers.
Éradication de l’infection Helicobacter pylori et prévention du cancer gastrique

Le cancer gastrique reste la seconde cause de deces par cancer dans le monde. Il existe une relation etroite entre infection a Helicobacter pylori et cancer gastrique. Le but de cette revue est de faire le point sur l'interet de l'eradication de Helicobacter pylori dans la prevention du cancer gastrique. La prevention primaire (avant la survenue de lesions preneoplasiques: atrophie et metaplasie intestinale), la prevention secondaire (en presence de lesions pre-neoplasiques), la prevention tertiaire (apres exerese endoscopique d'un cancer superficiel) sont envisagees. Meme si l'effet benefique d'une eradication au stade precoce de la cancerogenese en zone de forte incidence du cancer est bien demontre, les resultats d'etudes randomisees en cours devraient determiner l'impact reel d'un tel traitement.
The purchasing power parity in Australia : Evidence from unit root tests with structural breaks

The unit root tests with structural break developed by Perron and Rodriguez (Journal of Econometrics , 2003, 115, 1-27) are used to study the purchasing power parity in Australia for the period 1977:1 to 2004:4. The results indicate that there is a break in 1985:2 which coincides with the exchange rate crisis in 1985, occurring after the establishment of the dirty flexible exchange rate system. We also show that there is no tendency to the purchasing power parity in Australia to hold in the long run during this period.
MULTI-OBJECTIVE DESIGN AND MAINTENANCE OPTIMIZATION OF THE HEATED HOLD-UP TANK MULTI-OBJECTIF CONCEPTION ET MAINTENANCE OPTIMISATION DU RESERVOIR CHAUFFÉ

Résumé Nous présentons une méthode numérique pour la conception et la maintenance du système de réservoir chauffé. Un problème multi-objectif est consideré pour maximiser simultanément le bénéfice d’exploitation et la fiabilité. Le système est constitué d’un réservoir contenant un fluide dont le niveau est contrôlé par trois composants: deux pompes d’entrée et une soupape de sortie. Une source thermique chauffe le fluide. Les taux de panne des composants dépendent de la température, la position des trois composants controle le niveau de liquide et ce dernier détermine la température. Nous modélisons le système par des processus Markoviens déterministes par morceaux. Pour trouver la solution optimale, un algorithme de tri génétique non-dominé (NSGA-II) est utilisé.
EMPATHY AND MORAL JUDGMENT IN TROLLEY-LIKE DILEMMAS

A large body of recent research in the field of moral psychology has established the role of emotional processing in judgment. Previous findings support the dual-process model of moral judgment [Greene et. al., 2001] suggesting that it is driven both by controlled cognitive processes and automatic emotional processes. The present study provides data in support of this model exploring emotional empathy and its association with moral judgment of emotionally salient (personal) moral dilemmas. Strictly controlled stimuli are used in order to explore this correlation. Overall, personal dilemmas are judged as less permissible and receive lower permissibility ratings than impersonal dilemmas, which confirms the importance of the previously established in the literature personal-impersonal distinction. Results also show that individuals who score low on a measure of trait emotional empathy towards people and animals give higher permissibility ratings for the utilitarian action in personal trolley-like moral dilemmas, e.g. lower scores on emotional empathy scale is correlated with higher permissibility ratings for highly emotional personal moral dilemmas. No such correlation is observed for impersonal dilemmas. This pattern of results adds to previous findings revealing the importance of the emotional component in moral judgment and underscores the specific role of empathy in judgment of personal moral dilemmas.
Sistem Pendeteksi Pengirim Tweet dengan Metode Klasifikasi Naive Bayes Maresha

Until Januari 2015, social media users reached 29% of the world population. In Indonesia itself had 28% active users from total population of Indonesia. The usage of social media gives positives and negatives effect. The negatives effect are the increasing number of fraud by using SMS or social media, such as Twitter. Many people are deceived by the tweet messages sent from known user account when in fact the sender is other person. Because of that, there is a need to have a system to detect wheteher the tweet sender is the same person or not. Naive Bayes classifiers method is used to classify that. The data source is taken from tokens selected based on two models, the minimum n-time number of occurrences and the n-th highest number of occurrences. Each tweets also processed into six different types of tweets, such as formal tweet or lowercase tweet. The test uses tenfold cross-validation and measured by the value of accuracy, precision, recall, and F-score. The common result shows 82,145% level of accuracy. Second model to select the tokens shows consistency level of accuracy for each types of tweets. The fifth types of tweets also get the highest level of accuracy for both models to select the tokens. Keywords—Classifiers, Detection, Naive Bayes, Tweet.
Impact of Cereal Food Structures on Metabolic Responses and Satiety . The Role of Processing and Product Formulation

Insulin resistance, high blood glucose and raised total blood cholesterol are major risk factors for cardiovascular disease and type 2 diabetes. Partly they are caused by overweight and obesity. Diet is an important modifiable determinant for these risk factors and understanding how food characteristics, e.g. composition and structure, influence appetite and metabolic responses might aid in the development of healthy foods. In this thesis I examined how formulation, processing techniques (baking, cooking, extrusion) and process parameters affect rye, oat and wheat food characteristics (including structure and dietary fibre composition) and the implications of this for appetite and metabolic responses in humans. In vitro digestion methods were used to study structural changes, gastric disintegration, digesta viscosity and glucose release. In human trials, the effect of aeration method (fermentation or whipping) in rye crispbread production on appetite and metabolic responses was evaluated. When inulin was added to rye porridge, available water was reduced, decreasing starch gelatinisation and viscosity, changes with potentially counteracting effects on glucose response in humans. Smaller oat bran particles in bread increased degradation of β-glucan during fermentation, but also increased their solubility, events with opposing effects on digesta viscosity. Increased viscosity is an underlying mechanism for the ability of β-glucans, and certain other dietary fibres, to lower glucose response and total blood cholesterol. In fermented rye crispbread viscous fibres were more degraded and postprandial insulin response higher when compared with unfermented rye crispbread. However, the effect could also be attributed to slower gastric disintegration for the unfermented rye crispbread. Choice of aeration method had no observable impact on appetite. An amylose layer surrounding starch granules was observed only in sourdough-fermented soft rye bread. This seemed to inhibit glucose release, despite degraded viscous dietary fibres and rapid gastric disintegration. To conclude, processing and formulation were found to generally affect more than one food characteristic, which might be of relevance for a specific metabolic response. The net effect of characteristics associated with a targeted metabolic response should be considered when designing or selecting foods intended to promote health.
A Hybrid Diesel-Wind-PV-Based Energy Generation System with Brushless Generators

This paper presents an experimental implementation of a standalone micro grid topology based on a single voltage source converter (VSC) and brushless generators. The micro grid system is energized with different renewable energy sources namely wind and solar PV array. However, a diesel generator (DG) set and a battery energy storage system (BESS) are also used to maintain the reliability of the system. The proposed topology has the advantage of reduced switching devices and simple control. The implemented topology has DG set as an ac source. The wind generator and the solar PV array are dc sources which are connected to the dc link of the VSC. The BESS is also used at the dc link to facilitate the instantaneous power balance under dynamic conditions. Along with the system integration, the VSC also has the capability to mitigate the power quality problems such as harmonic currents, load balancing, and voltage regulation. A wide variety of test results are presented to demonstrate all the features of the proposed system.
Using Computational Text Classification for Qualitative Research and Evaluation in Extension

This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify evidence of cognitive presence, social presence, and teaching presence in the text contributions (44,000 unique posts) of more than 4,000 participants in an online environmental education course. Results indicate that computational text classification can significantly reduce labor costs and can help Extension research faculty scale, accelerate, and ensure reproducibility of their research.