Miracle-dz/UniFAR-FTUs huggingface dataset:
The importance of language vocabulary and language usage for sociocultural adjustment among Indonesian adolescents from three bilingual ethnic groups

ABSTRACT We investigated how the knowledge and usage of two languages relate to sociocultural adjustment in bilingual adolescent samples from three ethnic groups in Indonesia (214 Javanese, 108 Toraja, and 195 Chinese adolescents; 272 females; M age = 14.33 years). We tested a model specifying that the vocabulary knowledge of each language mediates the relation between language usage and sociocultural adjustment (here combining strongly correlated measures of adjustment to the ethnic and national culture). The results revealed the same partial mediation model in all groups; bilingualism is important for sociocultural adjustment in all ethnic groups. There were substantial group differences in ethnic language vocabulary scores, but the correlations between ethnic language usage with sociocultural adjustment were the same across groups. Results also showed that ethnic language usage matters more than ethnic language knowledge, and national language knowledge matters more than ethnic language knowledge for sociocultural adjustment. Moreover, our findings confirm that there is a language shift going on in Indonesia because Bahasa Indonesia as national language, which was the second language in the past, has become the dominant language across ethnic groups in Indonesia.
The Impact of Nurse Scheduling Management on Nurses’ Job Satisfaction in Army Hospital: A Cross-Sectional Research

There are many factors which affect nurse satisfaction level. This study aimed to identify the impact of nurse scheduling management on job satisfaction in Army hospital. This study used cross-sectional approach with total sample of 102 nurses. The sample was selected through stratified random sampling method with inclusion criteria of inpatient nurse with minimum pre-clinic level and at least 1-year experience. Pearson correlation, t-independent, one-way analysis of variance (ANOVA), and double linear regression were employed to analyze data. The results indicated that there was significant correlation between the implementation of nurse scheduling management with all management functions on nurse job satisfaction level (p = .0001–.014). Organizing and controlling nurse schedule were the dominant factors affecting nurse job satisfaction level. Authors concluded that the management of nurse scheduling statistically correlated with nurse job satisfaction level. Nurse manager should have the capability to improve nurse satisfaction by optimizing the management of nurse scheduling, especially on organizing and controlling aspect.
Exploiting software information for an efficient memory hierarchy

Power consumption is one of the most important factors in the design of today’s processor chips. Multicore and heterogeneous systems have emerged to address the rising power concerns. Since the memory hierarchy is becoming one of the major consumers of the on-chip power budget in these systems, designing an efficient memory hierarchy is critical to future systems. We identify three sources of inefficiencies in memory hierarchies of today’s systems: (a) coherence, (b) data communication, and (c) data storage. This thesis takes the stand that many of these inefficiencies are a result of today’s software-agnostic hardware design. There is a lot of information in the software that can be exploited to build an efficient memory hierarchy. This thesis focuses on identifying some of the inefficiencies related to each of the above three sources, and proposing various techniques to mitigate them by exploiting information from the software. First, we focus on inefficiencies related to coherence and communication. Today’s hardware based directory coherence protocols are extremely complex and incur unnecessary overheads for sending invalidation messages and maintaining sharer lists. We propose DeNovo, a hardware-software co-designed protocol, to address these issues for a class of programs that are deterministic. DeNovo assumes a disciplined programming environment and exploits features such as structured parallel control, data-race-freedom, and software information about data access patterns to build a system that is simple, extensible, and performance-efficient compared to today’s protocols. We also extend DeNovo to add two optimizations to address the inefficiencies related to data communication, specifically, aimed at reducing the unnecessary on-chip network traffic. We show that adding these two optimizations did not only result in addition of zero new states (or transient states) to the protocol but also provided performance and energy gains to the system, thus validating the extensibility of the DeNovo protocol. Together with the two communication optimizations DeNovo reduces the memory stall time by 32% and the network traffic by 36% (resulting in direct savings in energy) on average compared to a state-of-the-art implementation of the MESI protocol for the applications studied. Next we address the inefficiencies related to data storage. Caches and scratchpads are two popular organizations for storing data in today’s systems but they both have inefficiencies. Caches are power-hungry incurring expensive tag lookups and scratchpads incur unnecessary data movement as they are only locally visible. To address these problems, we propose a new memory organization, stash, which has the best of both cache and scratchpad organizations. Stash is a globally visible unit and its functionality is independent of the coherence protocol employed. In our implementation, we extend DeNovo to provide coherence for stash. Compared to a baseline configuration that has both scratchpad and cache accesses, we show that the stash configuration…
THE MOTOR ABILITIES OF HANDBALL PLAYERS OF DIFFERENT BIOLOGICAL MATURATION

The aim of this research was to determine the differences between the results from the tests of motor abilities carried out on a selected group of handball players in relation to their biological maturation. A total of 23 handball players, belonging to a selected group, took part in this research. The overall sample of participants was divided into three groups based on their biological maturation. The measurements of motor abilities were carried out using the following tests: explosive power, sprint speed and rapid changes in direction. The statistical analysis included descriptive statistics, a univariate analysis of variance and the Bonferroni PostHoc test in order to determine whether a statistically significant difference could be detected between the groups on the tests of motor abilities. Based on the statistical analysis (ANOVA method), a difference was determined between the peak height velocity (PHV) groups for all the variables. The PostHoc test later determined that there were no differences for any of the variables between the PrePHV and MidPHV groups. Differences in all the variables were determined between the PrePHV and PostPHV groups. Differences between the MidPHV and PostPHV groups were determined for 7 variables, while no statistically significant difference was determined for 3 of the variables (5JT, T-test and the Slalom). The main contribution of this research is that it indicates to coaches the inevitability of being familiar with the biological maturation of their players for optimal selection, for adequate training design, and a decrease in the risk of injury.
Knoocks - Ontology Visualization Plug-in for Protege

When searching the World Wide Web for information we use search engines such as Google, Yahoo! or Bing. Full text search works well when finding some articles or documents, but it will not directly answer the questions as ”How much something costs? ” or ”Where can I go for lunch? ”. Wanted information can be available on the Web as web pages or data (from services) but both without semantics. Ontologies are proposed by W3C to enable inclusion of semantics in web pages. This paper presents Knoocks visualization plug-in for Protege-OWL editor. The Knoocks approach combines the traditional ontology visualization (e.g., node-link or space-filling) strategies to enhance understandability of OWL Lite ontologies. The re-implementation of Knoocks as a plug-in for Protege-OWL extends the editor with a new ontology visualization technique and makes the Knoocks visualization publicly available for users. The Knoocks plug-in is good at visualizing of non-trivial ontologies.
Social capital and feminist power: promoting gender mainstreaming in Taiwan

ABSTRACT Feminist researchers have used social movement concepts such as the “velvet triangle,” mobilizing structures, and political opportunity to explain why national governments and international organizations adopt gender mainstreaming. However, these theories are unable to explain patriarchy’s profound influence on bureaucrats or to propose strategies to reduce bureaucratic resistance. This study suggests that Putnam’s social capital theory allows us to see that, in the political process of gender mainstreaming, feminist activists need social relations to strengthen their mobilizing solidarity, potential allies, legitimacy, and power. We examined how and why the Taiwanese feminist activists who participated in women’s policy machineries from 2005 to 2009 successfully institutionalized gender mainstreaming throughout the central government, including the installation of individual gender equality committees in all ministries. We found that their success lay in their ability to utilize political opportunities, emotion work, and confrontational tactics to enhance their social capital. They also created and established important social capital with and among politicians and civil servants. Their experience shows that gender equality mechanisms that allow civil society groups to engage in decision-making processes and that provide regular opportunities for dialogue between feminists and state actors can improve gender mainstreaming implementation and reduce bureaucratic resistance.
Research on virtual classroom implementation

The functional modules of the virtual classroom system are virtual classroom supportive platform,learning supportive tools and system information database.Virtual classroom supportive platform is divided into two sub-platforms,teaching-based platform and students-based platform.Through virtual classroom a successful implementation of electronic teaching and class management is achieved.Learning supportive tools include shared electronic whiteboard,synchronized explorer,notes system and real-time multimedia system.The paper presents the difficulties of implementing these tools and the relevant methods and functional modules.Because the whole virtual classroom system needs much information,suchas teachers,students,teaching schedules and the courseware database.Therefore,in the last part of the paper,we provide the developing methods of the information database,which makes our system a complete method of implementing the virtual classroom system.
Conceptions of "Success": The Ethics and Rhetoric of Hand Transplantation

Twenty years since the first modern attempts at human hand transplantation (HTX) in 1998 and 1999, these operations are a fringe hybrid of the clinical specialties of reconstructive microsurgery and transplant immunology, offered only under experimental protocols in most cases. Despite having paved the way for face transplants, womb transplants, and penis transplants, fewer than 100 hand transplants have been performed so far, complicating clinical research efforts to parse results “objectively. ” Through ethnographic oral history fieldwork and close rhetorical analysis of the medical literature on hand transplantation, my dissertation argues that despite its ubiquity across hand transplant rhetorics, “success” is a misnomer and a distracting frame for discussions of effectiveness in the science and ethics of this field since the reality of lived experience for patients involves lifelong unfolding tradeoffs of medications management, care activities, surveillance, managed complications, and relational upkeep which are never fully resolved. By placing the question of “success” in the frame of HTX patients’ self-reported experiences of dis/ability and the ongoing construction of their identity—rather than in medicalized notions of function or ability and progress-oriented histories of transplant science internationally—I show that parsing cause and effect in a many-faceted procedure like hand transplantation is a nuanced task that betrays the inherent subjectivity of data interpretation in medical science. Following in the stream of discourse on narrative medicine, person-centered healthcare, and the social construction of disability, my dissertation challenges norms for doctors representing vulnerable others to their colleagues and the public. Along with empirical insights from the oral histories, my analysis of hand transplant literature contributes to knowledge in disability studies, rhetoric of science, feminist bioethics, and science and technology studies (STS) bringing novel substance to 21st century debates about the options that should or should not be made available to those navigating the personal and putative binaries of ability/disability, beauty/deformity, and health/illness.
An Unconstrained Optimization Test Functions Collection

A collection of unconstrained optimization test functions is presented. The purpose of this collection is to give to the optimization community a large number of general test functions to be used in testing the unconstrained optimization algorithms and comparisons studies. For each function we give its algebraic expression and the standard initial point. Some of the test fnctions are from the CUTE collection established by Bongartz, Conn, Gould and Toint, (1995), others are from More, Garbow and Hillstrom, (1981), Himmelblau (1972) or from some other papers or technical reports.
Developing Learning Analytics Design Knowledge in the "Middle Space": The Student Tuning Model and Align Design Framework for Learning Analytics Use

This paper addresses a relatively unexplored area in the field of learning analytics: how analytics are taken up and used as part of teaching and learning processes. Initial steps are taken towards developing design knowledge for this “middle space,” with a focus on students as analytics users. First, a core set of challenges for analytics use identified in the literature are compiled. Then, a process model is presented for conceptualizing students’ learning analytics use as part of a self-regulatory cycle of grounding, goal-setting, action and reflection–the Student Tuning Model. Finally, the Align Design Framework is presented with initial validation as a tool for pedagogical design that addresses the identified challenges and supports students’ use of analytics as part of the tuning process. Together, the framework’s four interconnected principles of Integration, Agency, Reference Frame and Dialogue / Audience provide a useful starting point for further inquiry into well-designed learning analytics implementations.
Automatic Scoring in a Task of Retelling Stories for Language Learners

In this paper, we propose a novel method for automatic scoring of retelling stories. By taking consideration of possible paraphrases, new scoring features on contents are proposed with the use of ASR in addition to traditional evaluation measures. Linear models are introduced to combine different features for automatic scoring. We evaluated machine scores by correlating them with human scores which were manually rated by an expert. Experimental results show the correlation between machine scores and human scores can be improved.
Lithology identification based on genetic optimized radial basis probabilistic neural network

Lithology identification is the most critical procedure in the logging data interpretation field,while the traditional lithology identification methods have a lot of defects such as slow explain efficiency,low accuracy,and big influenced human factors.To resolve these problems,a new kind lithology identification method was put forward using genetic optimized Radial Basis Probability Neural Network(RBPNN). Probabilistic Neural Network(PNN) and the Radial Basis Function Neural Network(RBFNN) were combined to construct RBPNN.To optimize network structure,upgrade convergence speed and accuracy,Genetic Algorithm(GA) was used to search for the optimal hidden center vector and matching kernel function control parameters of the RBPNN structure which must satisfy minimum error of RBPNN training and form genetic optimized RBPNN network model.The case study shows that lithology identification based on genetic optimized RBPNN can achieve the actual application standards,and it is feasible and effective,it also can provide scientific theoretical supports and dependences for oil geological exploration field.
Code pattern analysis of object-oriented programming languages

Code patterns, including programming patterns and design patterns, are good references for programming language feature improvement and software re-engineering. However, to our knowledge, no existing research has attempted to detect code patterns based on code clone detection technology. In this study, we build upon the previous work and propose to detect and analyze code patterns from a collection of open source projects using NiPAT technology. Because design patterns are most closely associated with object-oriented languages, we choose Java and Python projects to conduct our study. The tool we use for detecting patterns is NiPAT, a pattern detecting tool originally developed for the TXL programming language based on the NiCad clone detector. We extend NiPAT for the Java and Python programming languages. Then, we try to identify all the patterns from the pattern report and classify them into several different categories. In the end of the study, we analyze all the patterns and compare the differences between Java and Python patterns.
PRAGMATICS ROLE IN THE EFL TEACHING TO INDONESIAN JUNIOR AND SENIOR HIGH SCHOOL STUDENTS

EFL students crucially need pragmatic competence to communicate appropriately and effectively. However, teaching pragmatic aspects is easier said than done in the Indonesian classroom context. This study aimed to question (1) how Indonesian EFL textbook writers introduce pragmatic aspects to junior and senior high school students, (2) what barriers to teaching pragmatics are encountered by the Indonesian EFL teachers, and (3) to what extent EFL students make use of pragmatic aspects when they speak Indonesian and English. To address these questions, some English textbooks written by Indonesian writers were analyzed, and some Indonesian EFL teachers and students were selected to be respondents: answering questionnaires and composing short dialogues respectively. The result revealed that pragmatic aspects were partially discussed in the textbooks and rarely taught by the EFL teachers due to some obstacles. As a result, the EFL students’ pragmatic competence was not developed properly. Because of the importance of students’ pragmatic skills, a further study of a practical teaching is needed for the EFL teachers in order to facilitate the EFL students to develop their pragmatic competence.
Look How Far We Haven’t Come: The Possible Implications of Current Educational Context and Practices for Young Black Males by Amanda VandeHei Carter

Data that are derived from high stakes testing in the United States have created rhetoric of fear and criticism around our public K–12 educational system. Stakeholders often blame these low-test scores on the school, administration, or teachers. Due to the way that this data is shared with the general public Different from this narrative, within many schools, high stakes testing data are reported in an aggregated fashion, usually by students’ race. While the general public may be pointing their finger at schools, administrators, or teachers for poorly achieving students, these folks can quickly shift the blame to certain populations of students who are not performing well on standardized tests. Teachers spend time sorting and labeling children into groups and categories in an effort to “fix the problem”. While sometimes well intended, the planning, instruction, and assessment of daily and weekly instruction is focused on an end result of getting particular groups of students to score better on standardized tests. This article provides the counter narrative to this conversation and it strives to tell the story of a student who has fallen victim to standardized unauthentic curriculum. Multiple case study was the methodology used for this research. Consistent with this methodology, the data were gathered through one-on-one interviews, classroom observations, and small group discussions. Hardiman’s model of White Identity Development (WID) and Freebody and Luke’s four resources model were the conceptual frameworks that were used to guide the study. The findings shared in this article represent the data collected from one participant in this multiple case study.
Work-Life Conflict among University Employees in a Private Higher Education Institution in Malaysia

Work-life conflict can be described as the situation where conflict arises from incompatibility between fulfilling one’s roles in the work and non-work domains. The available literature has depicted work-life conflict as something negative, as it bring about stress to individuals due to lack of time and energy. From the organisation’s point of view, work-life conflict brings about an apathetic attitude at work and low motivation. The objective of this study is to examine the relationship between work-related, family-related and individual-related factors and work-life conflict amongst university employees in a selected private higher education institution in Malaysia. The outcome of the study revealed that work is the main and significant factor contributing to work-life conflict. Respondents in this study did not feel that family demands were contributing to their work-life conflict, but rather that support from their family helped in reducing the tension arising from the conflict. Regarding individual-related factors, the findings revealed that this aspect is significant but weakly related to work-life conflict. Finally, this study also found that the current issue of rising cost of living is contributing to the work-life conflict situation, suggesting that economic factors can also contribute to work-life conflict. The implications of this study for the surveyed institution and the employees in terms of work, pay and resources support are discussed. Keywords: Work-life conflict, Individual-related factors, Family-related factors, Work-related factors, Private Higher Institution, Malaysia.
Sampling design and statistical methods for environmental biologists.

INTRODUCTION. Purpose and Relation to Existing Literature. Background Assumed. Organization and Emphasis. PRINCIPLES. General Review. The Example. Ten Principles. DECISIONS. Introduction. Optimal Impact Study Design. Optimal and Suboptimal Designs--The Main Sequences. Forms of Simple Variables. Derived Variables. Selection of Variables. Biological Variables in Special Areas. Estimation of Necessary Sample Size, Number, and Allocation. Data Screening Before Analysis. Computer Programs. Visual Display of Results. SEQUENCES. Main Sequence 1: Permits an Optimal Impact Study Design. Main Sequence 2: Impact Inferred from Temporal Change Alone. Main Sequence 3: Baseline or Monitoring Study. Main Sequence 4: Impact Must Be Inferred from Spatial Pattern Alone. Main Sequence 5: "When and Where? " Is the Question. References. Index.