Miracle-dz/UniFAR-FTUs huggingface dataset:
Stress reduction in thesis completion through peer tutoring method

This study aims to reduce stress in the completion of thesis through peer tutoring method in student of the Guidance and Counseling Study Program, UNY. This research is a classroom action research. The research subjects were 70 Guidance and Counseling Study Program students. Sampling techniques used purposive technique. Data collection used stress scale in the completion of thesis and observation guideline. The result of the pretest with the scale of stress in the completion of the thesis obtained a number of 14 students who were given an action. Data analysis technique used quantitative technique. The results showed a decrease in stress level in Guidance and Counseling student through peer tutoring method. This was indicated by the pretest average score of 104.8 (high category). After being given the action in cycle I, the average post test I score was 90.3 (medium category). This means that in cycle I there was a decrease in the average score of 14.5%. Provision of action continued in cycle II with the result of post test II obtained an average score of 72.2 (low category). This means that in cycle II there is a decrease in the average score of 18.1%. The decrease in the average score in the post test I and II obtained a total of 32.6%.
A grammar of Papuan Malay

This book presents an in-depth linguistic description of one Papuan Malay variety, based on fifteen hours of recordings of spontaneous narratives and conversations between Papuan Malay speakers. ‘Papuan Malay’ refers to the easternmost varieties of Malay (Austronesian). They are spoken in the coastal areas of West Papua, the western part of the island of New Guinea. The variety described here is spoken along West Papua’s northeast coast. After a general introduction to the language, its setting and its history, this grammar discusses the following topics, building up from smaller grammatical constituents to larger ones: phonology, word formation, noun and prepositional phrases, verbal and nonverbal clauses, non-declarative clauses, and conjunctions and constituent combining. Of special interest to linguists, typologists and Malay specialists are the following in-depth analyses and descriptions: affixation and its productivity across domains of language choice, reduplication and its gesamtbedeutung, personal pronouns and their adnominal uses, demonstratives and locatives and their extended uses, and adnominal possessive relations and their non-canonical uses. This study provides a point of comparison for further studies in other (Papuan) Malay varieties and a starting point for Papuan Malay language development efforts.
Ethnozoology in the mountains. What does the cognitive salience of wild animals tell us?

In recent times, ethnobiology has revived interest in cognitive aspects of humans’ communities. A concept commonly used in this area is cognitive salience. In this paper we assess the wild animal salience meaning for the rural people from an area of the mountain range of the Cordoba province (Argentina). We also analyzed the relationship of cultural and ecological factors over wild animal domain salience. The values of cognitive salience, perception and cultural value were obtained by means of free lists to 16 collaborators, while semi-structured interviews were used to inquire about local ecological knowledge and ease of observation about wild animals. The interdependence between the five variables elaborated was analyzed through a Principal Components Regression. The results show a qualitative relationship between Cognitive Salience and Cultural Value and a significant correlation between Cognitive Salience and Local Ecological Knowledge. Ease of Observation did not correlate with Cognitive Salience, but show a significant relationship with the Perceived Abundance. The results suggest a complex network of factors that are modeling the cognitive salience and local perceptions over wild animals. In our findings, highlight the Cultural Value given to harmful animals which reflects an increasing pattern in the region, the conflict between rural people and wild animals. In turn a mutual influences and causal feedback loops between cognitive salience and an ecological factor, the Perceived abundance, is proposed. Investigations over cognition and about how people perceived nature can give us an idea of how they act in it, a compelling factor when it comes to cultural and biological conservation issues.
Time Lags in Processing Market-Sensitive Information: A Case Study

This article analyzes a case study of time lag in processing market-sensitive information with intraday data. On February 2011, the Italian Parliament approved the government’s so-called Milleproroghe decree, which included, among others, a new important rule for banks transforming deferred-tax assets into tax credits. Although information on the law’s approval became available on February 8, on February 15 the market took 12 minutes to react to the news and almost an hour to fully absorb it. This delay created significant arbitrage opportunities that can be explained by traders’ inability to immediately process technical and complex matters. Failure to comply with these cognitive limitations prevents traders from promptly incorporating new information in market prices.
Effects of Structure Strategy Training and Signaling on Recall of Text.

Younger and older adults participated in 9 hr of either structure strategy training, interest strategy training, or no training Both trained groups reported positive changes in reading, but only the structure strategy group showed increased total recall from a variety of texts and an informative video. Structure strategy training increased the amount of information remembered as well as recall of the most important information. This training affected the organization of recall and was critical for producing readers who could use the structure strategy consistently across a variety of expository texts. In addition, it helped learners use signals in text more effectively. There was an additive effect of training plus signaling for use of the structure strategy consistently across five passages. The strategy switch hypothesis was supported, indicating that signaling affects encoding rather than retrieval processes. The findings have implications for both reading and writing.
Diversity in the College Composition Classroom: A Phenomenological Study of Faculty Experiences

While faculty members in higher education contribute to curricular diversity through active learning techniques and course content, over the last decade there has not been a substantial increase in their commitments. Literature examining diversity in colleges and universities establishes who is committing to diversity and how those commitments are enacted in the classroom, but a look beyond those parameters is necessary in order to understand what influences faculty members’ decision-making. This phenomenological study was aimed at exploring the nature of faculty members’ experiences with diversity in the classroom. Three English composition instructors in the Pacific Northwest were interviewed to understand how they are experiencing diversity, and the factors influencing their commitments to diversity. Participants’ lived experiences revealed that there are rewards and challenges that come with enacting commitments to diversity. While participants perceived receiving support in their diversity efforts from internal and external influences, they also perceived experiencing barriers from influences in departments and institutions. This study concluded that exploring the nature of faculty persistence with curricular diversity has the potential to help institutions further their commitments to diversity overall.
Journal of University Teaching & Learning Practice Journal of University Teaching & Learning Practice

Abstract While instructors and students generally value the integration of videos in the online classroom, there are a number of practical considerations that may mediate the utility of videos as a teaching and learning tool. The current survey examines faculty and student perceptions of videos in the online classroom with an emphasis on the practical factors that influence video integration. Results indicate differences in faculty and student acceptance and endorsements of videos for content presentation compared to assignment feedback. Faculty desire more opportunities to interact with their students (i.e., video-based discussions, video-conferencing, and student-generated videos) and highlighted efficiency as a key consideration. Students emphasized a desire for multiple opportunities to engage with course material; while students value text-based resources, they also want to have options to learn and interact via video and audio. Key to student recommendations is an awareness of the time involved to engage with online videos. Discussion highlights practical approaches to maximize the value and utility of videos in the online classroom.
Psychological impact of online support communities : can human participation in an online health community improve psychological well-being

Kolawole, Olatunbosun Psychological impact of online health communities Jyväskylä: University of Jyväskylä, 2019, 60 pp. Information systems science, Master’s Thesis Supervisor(s): Dr. Zhang, Yixin and Dr. Rönkkö, Mikko Online Health Communities (OHCs) have become a major source of social, emotional and informational support for people with health problems. There has been much debate surrounding the potential benefits and costs of online interaction. This debate is centred on the positive and negative effects online health communities have on it users. Social network is believed to have great impact on its participants as suggested by some works of literature, thus participants feel a sense of liberation from any perceived restriction placed in real world either legally, socially or politically. Online Health communities have been able to provide support to these individuals therefore, leading to a positive impact to the individual’s psychological well-being. On the other hand, other line of literature on virtual communities suggest that online social platform can have a negative effect on the participants’ psychological well-being. Therefore, this study focuses on the psychological impact of online health communities. The constructs formulated in this study was based on several construct formulated on studies related to online health communities and psychological well-being. The construct utilized to fit the current study includes, social support, social identification, online users behaviour and the psychological flourishing scale. Internet use, education, income level, age and gender were included as control variables. This study result showed that online behaviour, social identification and social support positively impact the psychological well-being of users’ after joining the online health community. While social identification played a positive predominant role in its impact, online behaviour and social support had a considerable positive impact on psychological well-being. Out of five control variables, only age influenced psychological well-being after joining the online community. Overall, the measurement model explained 81% of variance in the impact of online health communities on psychological well-being.
Deep learning for facial emotion recognition

The ability to perceive and interpret human emotions is an essential aspect of daily life. The recent success of deep learning (DL) has resulted in the ability to utilize automated emotion recognition by classifying affective modalities into a given emotional state. Accordingly, DL has set several state-of-the-art benchmarks on static affective corpora collected in controlled environments. Yet, one of the main limitations of DL based intelligent systems is their inability to generalize on data with nonuniform conditions. For instance, when dealing with images in a real life scenario, where extraneous variables such as natural or artificial lighting are subject to constant change, the resulting changes in the data distribution commonly lead to poor classification performance. These and other constraints, such as: lack of realistic data, changes in facial pose, and high data complexity and dimensionality increase the difficulty of designing DL models for emotion recognition in unconstrained environments. This thesis investigates the development of deep artificial neural network learning algorithms for emotion recognition with specific attention to illumination and facial pose invariance. Moreover, this research looks at the development of illumination and rotation invariant face detection architectures based on deep reinforcement learning. The contributions and novelty of this thesis are presented in the form of several deep learning pose and illumination invariant architectures that offer state-of-the-art classification performance on data with nonuniform conditions. Furthermore, a novel deep reinforcement learning architecture for illumination and rotation invariant face detection is also presented. The originality of this work is derived from a variety of novel deep learning paradigms designed for the training of such architectures.
An integrated model for multi-resource constrained scheduling problem considering multi-product and resource-sharing

This paper studies a multi-resource constrained scheduling problem considering multi-product and resource-sharing in the manufacturing supply chain, in which many independent production units coordinate with a truck resource manager. A mixed integer programming model is formulated to minimise the total system cost and some analytical properties are proposed to tighten the model. A Lagrangian relaxation-based heuristic with several enhancements, e.g. warm startup, approximating solve and parallel computation of subproblems, is proposed to solve the model. Finally, computational experiments are conducted to verify that (i) the proposed method has a better performance in both objective and CPU time than CPLEX, (ii) all three enhancements can help reduce the total computation time and (iii) a certain degree of resource-sharing can help reduce the total cost of the system.
Context-dependent categorisation of vowels: a mismatch negativity study of positional neutralisation

ABSTRACT Studies exploring the mismatch negativity (MMN) response to speech sounds have identified neural activity associated with processing of phonologically distinctive information and language-specific perceptual categorisation. Yet little attention has been given to a basic fact of phonology, namely, that not all phoneme distinctions in a language are functional in all phonological contexts. The present ERP study explores a case in which the low-mid versus high-mid vowel distinction is limited to stressed syllables, resulting in category merger elsewhere – i.e. “positional neutralisation”. We provide evidence that the sensitivity of MMN generator processes to vowel distinctions parallels their position-dependent phonological status (functional versus neutralised). As an additional finding, the MMN peaked earlier for stressed than for unstressed distinctions, indicating that stress facilitates automatic auditory discrimination. The results fit neatly into models assuming that MMN reflects a mismatch between a deviant stimulus and an abstract representation of standards that omit phonologically non-distinctive information.
Main Effects and Interactions in Mixed and Incomplete Data Frames

Abstract A mixed data frame (MDF) is a table collecting categorical, numerical, and count observations. The use of MDF is widespread in statistics and the applications are numerous from abundance data in ecology to recommender systems. In many cases, an MDF exhibits simultaneously main effects, such as row, column, or group effects and interactions, for which a low-rank model has often been suggested. Although the literature on low-rank approximations is very substantial, with few exceptions, existing methods do not allow to incorporate main effects and interactions while providing statistical guarantees. The present work fills this gap. We propose an estimation method which allows to recover simultaneously the main effects and the interactions. We show that our method is near optimal under conditions which are met in our targeted applications. We also propose an optimization algorithm which provably converges to an optimal solution. Numerical experiments reveal that our method, mimi, performs well when the main effects are sparse and the interaction matrix has low-rank. We also show that mimi compares favorably to existing methods, in particular when the main effects are significantly large compared to the interactions, and when the proportion of missing entries is large. The method is available as an R package on the Comprehensive R Archive Network. Supplementary materials for this article are available online.
Leaving Work at Work: A Meta-Analysis on Employee Recovery From Work

After reviewing the various ways employee recovery from work has been conceptualized in existing literature as well as the predominant theoretical frameworks used to study recovery, we meta-analyze the relationships between employee recovery, demands, resources, well-being, and performance. We also quantitatively examine the conceptualizations of recovery as activities, experiences, or states in terms of both their intercorrelations and differing effects with demands, resources, well-being, and performance. Results of meta-analyses using a total of 198 empirical samples indicated general support for the hypothesized positive relationships between employee recovery and resources, well-being, and performance as well as a negative relationship with demands. However, the size and consistency of observed effects differed markedly based on the conceptualization utilized. Additionally, various conceptualizations of recovery were shown to be only modestly related, while recovery experiences and the state of being recovered were shown to have substantial temporal consistency. Implications of these findings for scholars studying recovery and practitioners are discussed.
Frailty as a Predictor of Cognitive Disorders: A Systematic Review and Meta-Analysis

Background/Aim: Current evidence in the literature supports associations between frailty, cognitive impairment, and dementia. The study aim was to describe the risk of cognitive disorders associated with physical frailty in older adults from community-based studies. Methods: We performed a systematic review and meta-analysis, using MEDLINE, PsycINFO, Scopus, and Web of Science as databases for the search. Cohort and longitudinal studies were included in qualitative analysis and quantitative synthesis. For inclusion, studies had to assess dementia and cognitive impairment as a primary or secondary outcome, and describe the prevalence of frailty among participants at baseline and follow-up. Results: Of the 2,210 studies retrieved by the systematic review, 6 relevant studies were included in a meta-analysis. Baseline frailty was significantly associated with an increased risk of geriatric cognitive disorders (pooled OR = 1.80, 95% CI = 1.11–2.92; p = 0.02). Heterogeneity across the studies was significant (I2 = 79%). Conclusions: The analyses confirmed that frail older adults were at higher risk of incident cognitive disorders than non-frail elders. Frailty status seems to be most associated with the risk of incident dementia. Frailty may represent a risk factor for dementia and could constitute a novel modifiable target in early cognitive impairment.
Defying the Stereotypes - Factors that Influence the Persistence of Black Males in the Community College

Research on the success of Black male students in higher education at four-year institutions came to the forefront in the 1990s, but largely ignored Black males attending community colleges. In spite of their high rate of attendance at these two-year institutions, Black males were not persisting in numbers commensurate with their enrollment. Black males attending community colleges are often less academically, socially, and culturally prepared than their counterparts at four-year institutions. Yet, some do persist in spite of the barriers. The purpose of this qualitative study was to understand the factors that influence the persistence of this population. The setting for the study was one of the ampuses of a large, urban, predominantly Hispanic two-year institution in Florida. The participants were Black males who had completed at least two semesters of community college. Findings from the study suggest that familial, peer, and institutional support are important to Black males before they start college and continue to be of significance once they are enrolled. Their interaction with faculty and their own fortitude also play a part in their success. The results from this study contribute to the extant literature on the persistence of Black males attending community colleges. The findings can also serve to inform practice and policy in high schools and the community college system. They also have implications for policymakers at the state level.
The Structural Causes of Teacher Burnout in Hong Kong

Abstract Since the mid 1990s, teacher burnout has become a crucial phenomenon in the Hong Kong education system, as increasing numbers of Hong Kong teachers have been reported as stressed, exhausted, and depersonalized in their teaching. In the Hong Kong community, including the academic circle, many people have applied the psychological theory of burnout to study the psychological causes of teacher burnout. However, this article argues that teacher burnout has become a social issue and is not a purely psychological phenomenon. Thus, it is important for us to identify the structural causes rather than the psychological causes of teacher burnout, to obtain a more comprehensive understanding of teacher burnout, and to develop better solutions. This article therefore theoretically analyzes how teacher burnout can be caused by certain structural forces, including structural education reforms, the administrative structure of schools, and the occupational and career structure of teaching, from the perspective of the sociological theory of work alienation. The article also gives recommendations for further studies based on the theoretical analysis.
Attitudes of Men and Women Toward Sexual Assault: The Role of Stigma, Self-Stigma, and Gender Roles

Sexual assault is an issue pervaded with stigmas, whether imposed on a person from a social source or from oneself. Stigmas have shown to be harmful to a survivor’s recovery from trauma (Deitz, Williams, Rife, & Cantrell, 2015) and may influence whether or not a survivor of sexual assault reports an incident of sexual assault (Spencer, Mallory, Toews, Stith, & Wood, 2017). One factor that contributes to internalizing a stigma to form a self-stigma is the anticipated reaction a survivor faces when he or she discloses an incident of sexual abuse (Murray, Crowe, & Overstreet, 2018). To determine how gender roles, stigmas, and self-stigmas influence one another, a questionnaire was distributed to college students via Qualtrics survey platform. The author used the Attitudes Toward Women Scale (Spence, Helmrich, & Stapp, 1973) and other adapted instruments to measure participants’ gender role beliefs, levels of social stigma, and levels of self-stigma. Results show that levels of self-stigma are statistically significantly influenced by levels of social stigma ( r = .259, p < .001) and gender role attitudes ( r = -.259, p < .001); however, social stigma was not statistically significantly associated with beliefs about gender roles. The results of this study suggest that more conservative gender role beliefs and higher levels of social stigma are correlated with higher levels of self-stigmas that are formed by an internalized social stigma.