Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Blaming and Other-Blaming Moral Emotions Are Complementary: Two Studies in Turkish Culture

The present paper reports results of empirical investigation for a model that posits a complementary relationship between self-blaming and other-blaming emotions and suggests that distinctive relationships between them depend on the relational context and associated moral codes. Relevant findings of two studies in Turkish culture that examined different aspects of the model are presented. The first study provided partial support for the relationship between shameand guilt-proneness and relational model preferences. The findings of the second study revealed strong support for the complementary relationship (1) between shame related to rejection or exclusion and disgust in contexts that represented the communal sharing relational model / divinity moral code; (2) between shame related to status loss and contempt in contexts that represented the authority ranking relational model / community moral code and (3) between guilt and anger in contexts representing equality matching or market pricing relational model / autonomy moral codes. Overall, these findings in Turkish culture provided initial empirical evidence for the connections between moral emotions, moral codes and relational models.
Students’ perspectives on social media-based learning of writing through Instagram

Teaching writing in an EFL classroom is generally accepted as a composite task. Time-consuming process with various steps is required to train the students to be able to produce successful essays. Many methods and approaches including traditional and modern ways have been practiced by teachers. However, there has been little study devoted to confirm its effectiveness, particularly that of technology-enhanced pedagogy. To fill this gap, this paper presents the results of a case study which investigated the perspective of students who participated in a technology-based writing class about their experience when joining the writing course which mainly employed Instagram. Close ended questionnaire and focus group discussion were used to collect the data. Based on the data analysis, the students’ perspectives indicate that: 1) they believed that their peers’ feedback on Instagram help them to correct grammar , 2) particular posts on Instagram help them learn new vocabularies and find better ideas to construct writing, 2) Instagram enhanced spelling correction, 3) students believed that negative comments and over-corrected feedback on Instagram make them not only feel under pressure but also become motivated to write a better essay, 4) ads in Instagram distracted their focus when writing, and 5) bad internet connection impeded the process of writing on Instagram. Finally, to maximize its strengths and minimized its weaknesses, it is suggested that students’ interaction, students’ knowledge of technology, teacher’s role, and accessible internet provided by the institution must be augmented. Keywords: writing, social media-based learning, Instagram, students’ perception
Construction of a Hybrid (Hierarchical) Identity-Based Encryption Protocol Secure Against Adaptive Attacks

The current work considers the problem of obtaining a hierarchical identity-based encryption (HIBE) protocol which is secure against adaptive key extraction and decryption queries. Such a protocol is obtained by modifying an earlier protocol by Chatterjee and Sarkar (which, in turn, is based on a protocol due to Waters) which is secure only against adaptive key extraction queries. The setting is quite general in the sense that random oracles are not used and security is based on the hardness of the decisional bilinear Diffie-Hellman (DBDH) problem. In this setting, the new construction provides the most efficient (H)IBE protocol known till date. The technique for answering decryption queries in the proof is based on earlier work by Boyen, Mei and Waters. Ciphertext validity testing is done indirectly through a symmetric authentication algorithm in a manner similar to the Kurosawa-Desmedt public key encryption protocol. Additionally, we perform symmetric encryption and authentication by a single authenticated encryption algorithm.
Gender differences of axis I and II comorbidity in subjects diagnosed with attention-deficit hyperactivity disorder as adults

Objective To investigate gender differences in psychiatric comorbidity patients diagnosed with attention-deficit hyperactivity disorder (ADHD) as adults. Methods Interviews about current ADHD symptoms and psychiatric comorbidity on axis I and II (Structured Clinical Interview for DSM-IV axis I and axis II) were conducted in a clinical cohort of 168 patients (78 women, 90 men). Independent information on childhood and current symptoms was collected from parents, partners and patient files. Results The lifetime prevalence of psychiatric comorbidity on axis I reached 92%, and current comorbidity, including autism spectrum disorders and Tourette's syndrome, was 47%. Women had a higher lifetime prevalence of mood and eating disorders compared with men, where substance-use disorders were more frequent. Ten per cent of patients fulfilled diagnostic criteria for a personality disorder. When excluding the general diagnostic criteria, 46% of the patients endorsed the specific criteria for at least one personality disorder. Gender differences were identified with predominance of histrionic personality traits in women and conduct disorder in men. Conclusion Patients diagnosed with ADHD as adults display an extremely high lifetime axis I comorbidity with a gender-specific pattern similar to the general population. No gender differences were identified with regard to personality disorders; however, an increased prevalence of deviant personality traits was confirmed. This study stresses the importance of evaluating comorbidity among patients diagnosed with ADHD as adults to secure optimal treatment.
A Telemonitoring Tool based on Serious Games Addressing Money Management Skills for People with Intellectual Disability

This article presents a telemonitoring tool based on computer games, aimed at money management skill improvement for people with Intellectual Disabilities (ID). The presented tool is divided into two parts: on one hand, some training activities related to payments and currency discrimination based on Serious Games are proposed to the user using a multitouch device. On the other hand, the psychologists and specialist who work with them, can access to the Serious Games results using an online application in order to evaluate their evolution. The results are measured according to the number of errors they have during the proposed activities, the time they need to complete them and the score. The article show the results of an experiment made with a clinical sample of 12 users with ID between 12 and 15 years, taking into account that all of them are capable of correct oral communication and they do not have severe physical coordination problems. Only two users completed all the games without errors. Males obtained a mean of 28.25 errors, whereas females obtained a mean of 17.75. The results show significant difference between the selection of games 1, 2 or 3, because all of them prefer the game 1 related with “Payments” probably because it permits more interaction using the multitouch device. The authors also made a qualitative evaluation and the results have been very promising and satisfactory.
The Role of Heating and Enrichment in Galaxy Formation

We show that the winds identified with high-redshift low-mass galaxies may strongly affect the formation of stars in more massive galaxies that form later. With three-dimensional realizations of a simple nonlinear growth model, we track gas shocking, metal enrichment, and cooling, together with dark halo formation. We show that outflows typically strip baryonic material out of previrialized intermediate-mass halos, suppressing star formation. More massive halos can trap the heated gas but collapse later, leading to a broad bimodal redshift distribution, with a larger characteristic mass and metallicity associated with the lower redshift peak. This scenario accounts for the observed bell-shaped luminosity function of early-type galaxies, explains the small number of Milky Way satellite galaxies relative to standard cold dark matter prescriptions, and provides a reasonable explanation for the lack of metal-poor stars in the solar neighborhood and the more general lack of low-metallicity stars in other massive galaxies relative to "closed-box" models of chemical enrichment. Heating of the intergalactic medium by early outflows should produce spectral distortions in the cosmic microwave background that will be measurable with the next generation of experiments.
Development of big five domains and facets in adulthood: mean-level age trends and broadly versus narrowly acting mechanisms.

Data from a cross-sectional sample (N = 601 men and women) and a longitudinal sample (N = 125 women) were used to test hypotheses about the development of Big Five domains and facets from early adulthood through middle age. Analyses of mean-level age trends indicated that overall Agreeableness and Conscientiousness increased with age and that several facets showed distinctive trends that replicated across the samples. Cross-sectional analyses of trait intercorrelations and covariances indicated that interrelations between the Big Five domains, and between their more specific facets, were quite similar at older versus younger ages. Finally, longitudinal analyses of individual-level changes indicated that (a) different people's personalities changed in markedly different ways; (b) these changes were predominantly independent, rather than correlated, across Big Five domains; and (c) the pattern of change correlations between Big Five facets could be explained by the facets' interrelations at the first assessment time. Taken together, these results suggest that a complete understanding of personality development requires consideration of facet-level traits and that adult personality development is predominantly influenced by narrowly acting mechanisms that each affect a single Big Five domain, or a small cluster of related facets, rather than by broadly acting mechanisms that simultaneously affect previously independent traits.
Frictional and hydrologic properties of a major splay fault system, Nankai subduction zone

We report on laboratory experiments examining the frictional and hydrologic properties of fault gouge and wall rock along a borehole transect that crosses a major out‐of‐sequence thrust splay fault within the Nankai accretionary complex. At 25 MPa effective normal stress, the fault zone material is frictionally weak (μ ≤ 0.44) and exhibits low permeability after shearing (k < 5.5 × 10−20 m2). Fault zone samples are weaker and less permeable than the surrounding wall rocks, consistent with their slightly higher clay abundance. All samples exhibit velocity‐strengthening frictional behavior over most of the experimental conditions we explored, consistent with aseismic slip at shallow depths. The fault and wall rock both exhibit prominent minima in the friction rate parameter (a − b) for sliding velocities of 1–10 μm/s (∼0.1–1.0 m/day), comparable to rates for slow slip events. This suggests that the frictional properties of fault zone material play a central role in governing the mode of slip on subduction megathrusts.
The EXC toolkit for real-world experiments with wireless multihop networks

In this paper, we present a methodology and a toolkit to conduct tightly controlled real-world experiments in wireless multihop networks. The main features of our EXC toolkit are a plug-in architecture for easy integration of new functionality, simple scheduling of experiment runs, direct monitoring of experiments, easy management of node mobility, and high portability. EXC does not require specific hardware and can be used for investigating applications and algorithms in real-world environments. We explain the basic features of the toolkit and examine these by means of an experiment with a special focus on repeatability.
High radiofrequency radiation at Stockholm Old Town: An exposimeter study including the Royal Castle, Supreme Court, three major squares and the Swedish Parliament

Exposure to radiofrequency (RF) radiation was classified as a possible human carcinogen, Group 2B, by the International Agency for Research on Cancer at WHO in 2011. The exposure pattern is changing due to the rapid development of technology. Outdoor RF radiation level was measured during five tours in Stockholm Old Town in April, 2016 using the EME Spy 200 exposimeter with 20 predefined frequencies. The results were based on 10,437 samples in total. The mean level of the total RF radiation was 4,293 µW/m2 (0.4293 µW/cm2). The highest mean levels were obtained for global system for mobile communications (GSM) + universal mobile telecommunications system (UMTS) 900 downlink and long-term evolution (LTE) 2600 downlink (1,558 and 1,265 µW/m2, respectively). The town squares displayed highest total mean levels, with the example of Järntorget square with 24,277 µW/m2 (min 257, max 173,302 µW/m2). These results were in large contrast to areas with lowest total exposure, such as the Supreme Court, with a mean level of 404 µW/m2 (min 20.4, max 4,088 µW/m2). In addition, measurements in the streets surrounding the Royal Castle were lower than the total for the Old Town, with a mean of 756 µW/m2 (min 0.3, max 50,967 µW/m2). The BioInitiative 2012 Report defined the scientific benchmark for possible health risks as 30–60 µW/m2. Our results of outdoor RF radiation exposure at Stockholm Old Town are significantly above that level. The mean exposure level at Järntorget square was 405-fold higher than 60 µW/m2. Our results were below the reference level on 10,000,000 µW/m2 established by the International Commission on Non-Ionizing Radiation Protection (ICNIRP), which, however, are less credible, as they do not take non-thermal effects into consideration and are not based on sound scientific evaluation. Our highest measured mean level at Järntorget was 0.24% of the ICNIRP level. A number of studies have found adverse, non-thermal (no measurable temperature increase) health effects far below the ICNIRP guidelines.
Competing for Legitimacy: Agrarian Policy Legitimation in the People’s Republic of China from 1956 to 1983

Agrarian policy trends from 1956 to 1983 emerged from a legitimation process amplified by both the revolutionary background and factional politics of the People’s Republic of China. However, the process is not clear-cut but is characterized by an interweaving of various factors, specifically, factional politics, legitimacy, and the results and thrusts of agrarian policies. Thus, this paper asks the question, “what are the dimensions of policy legitimation that framed the publicized struggle of competing elites for policy content and consistency? ” To shed light on this issue, this paper would make more specific inquiries on the nature of the relationship between publicized factional elite competition at the national level and the struggle for policy consistency via policy legitimation. This study’s primary theoretical objective is to develop a bridge between the literatures on elite competition and regime legitimacy through a processual analysis of policy legitimation. Hence, this study’s primary objective is not to establish causality but to illustrate that it is in policy legitimation that elite competition collides with public sentiments emanating from the impact of objective conditions.
CLASSIFICATION OF HIGH DIMENSIONAL DATA WITH LIMITED TRAINING SAMPLES

An important problem in pattern recognition is the effect of limited training samples on classification performance. When the ratio of the number of training samples to the dimensionality is small, parameter estimates become highly variable, causing the deterioration of classification performance. This problem has become more prevalent in remlote sensing with the emergence of a new generation of sensors. While the new sensor technology provides higher spectral and spatial resolution, enabling a greater number of spectrally separable classes to be identified, the needed labeled samples for designing the classifier remain difficult and expensive to acquire. In this thesis, several issules concerning the classification of high dimensional data with limited training samples are addressed. First of all, better parameter estimates can be obtained using a large number of unlabeled samples in addition to training samples under the mixture model. However, the estimation method is sensitive to the presence of statistical out1:iers. In remote sensing data, classes with few samples are difficult to identify and may constitute statistical outliers. Therefore, a robust parameter estima.tion method for the mixture model is introduced. Motivated by the fact that covariance estimates become highly variable with limited training samples, a covariance estimator is developed using a Bayesian formulation. The proposed covariance estimator is adviintageous when the training set size varies and reflects the prior of each class. Finally, a binary tree design is proposed to deal with the problem of varying training sample size. The proposed binary tree can function as both a classifiler and a feature extraction method. The benefits and limitations of the proposed methods are discussed and demonstrated with experiments. Work leading to the report was supported in part by NASA Grant NAG5-3975. This. support is gratefully acknowledged. CHAPTER 1: INTRODUCTION
Waste oils as alternative fuel for diesel engine: A review

Increase in energy demand, stringent emission norms and depletion of oil resources have led the researchers to find alternative fuels for internal combustion engines. On the other hand, waste oils pose a very serious environment challenge because of their disposal problems all over the world. In this context, waste oils are currently receiving renewed interest. The properties of the oil derived from waste plastics, cooking and engines oils were analyzed and compared with the petroleum products and found that it has properties similar to that of diesel. This paper gives a brief review about using waste oil of these three types of oil as a fuel for diesel engines. The conversion process of each type of waste oil is presented. The results obtained from the experimental studies on a diesel engine are discussed. Key words: Waste oil, cooking, plastic, conversion, fuel, engine
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems. Nevertheless, this approach suffers from two challenges, which are (1) the feature extraction from various types of sensory data and (2) the selection of a suitable fusion level. It is usually difficult to choose an optimal feature or fusion level for a specific fault diagnosis task, and extensive domain expertise and human labor are also highly required during these selections. To address these two challenges, we propose an adaptive multi-sensor data fusion method based on deep convolutional neural networks (DCNN) for fault diagnosis. The proposed method can learn features from raw data and optimize a combination of different fusion levels adaptively to satisfy the requirements of any fault diagnosis task. The proposed method is tested through a planetary gearbox test rig. Handcraft features, manual-selected fusion levels, single sensory data, and two traditional intelligent models, back-propagation neural networks (BPNN) and a support vector machine (SVM), are used as comparisons in the experiment. The results demonstrate that the proposed method is able to detect the conditions of the planetary gearbox effectively with the best diagnosis accuracy among all comparative methods in the experiment.
From Research Skill Development to Work Skill Development

The thinking required by higher education student engagement in research processes may segue into the development of students’ work skills, enabling them to professionally transition to the workforce. However, although this transition may be facilitated before and during Work Integrated Learning [WIL] experiences, there is typically a gulf between the skills taught in higher education and skill requirements of industry. To address these challenges faced by WIL, and to connect students more effectively with contemporary and future employer needs, the first objective of this paper is to provide an overview of the use of a validated generic employability framework, the Work Skills Development [WSD] framework, and the second objective is to provide evidence about the framework’s effectiveness when used to articulate work skills and student autonomy. This overview of the WSD and its uses contributes to WIL pedagogy and has direct applicability to tertiary educators’ contribution to the development of student work mindset to bridge the gap between tertiary institutions and industry requirements.
PRACTICE IS IMPORTANT BUT HOW ABOUT ITS QUALITY?

Abstract This study explored the impact of contextualized practice on second language (L2) learners’ production of wh-questions in the L2 classroom. It examined the quality of practice (correct vs. incorrect production) and the contribution of declarative knowledge to proceduralization. Thirty-four university-level English as a foreign language learners first completed a declarative knowledge test. Then, they engaged in various communicative activities over five weeks. Their production of wh-questions was coded for accuracy (absence of errors) and fluency (speech rate, mean length of pauses, and repair phenomena). Improvement was measured as the difference between the first and last practice sessions. The results showed that accuracy, speech rate, and pauses improved but with distinct patterns. Regression models showed that declarative knowledge did not predict accuracy or fluency; however, declarative knowledge assisted the learners to engage in targetlike behaviors at the initial stage of proceduralization. Furthermore, whereas production of accurate wh-questions predicted accuracy improvement, it had no impact on fluency.
Effect of O. porcinus Tick Salivary Gland Extract on the African Swine Fever Virus Infection in Domestic Pig

African swine fever is a haemorrhagic disease in pig production that can have disastrous financial consequences for farming. No vaccines are currently available and animal slaughtering or area zoning to restrict risk-related movements are the only effective measures to prevent the spread of the disease. Ornithodoros soft ticks are known to transmit the African swine fever virus (ASFV) to pigs in farms, following the natural epidemiologic cycle of the virus. Tick saliva has been shown to modulate the host physiological and immunological responses during feeding on skin, thus affecting viral infection. To better understand the interaction between soft tick, ASFV and pig at the bite location and the possible influence of tick saliva on pig infection by ASFV, salivary gland extract (SGE) of Ornithodoros porcinus, co-inoculated or not with ASFV, was used for intradermal auricular inoculation. Our results showed that, after the virus triggered the disease, pigs inoculated with virus and SGE presented greater hyperthermia than pigs inoculated with virus alone. The density of Langerhans cells was modulated at the tick bite or inoculation site, either through recruitment by ASFV or inhibition by SGE. Additionally, SGE and virus induced macrophage recruitment each. This effect was enhanced when they were co-inoculated. Finally, the co-inoculation of SGE and virus delayed the early local spread of virus to the first lymph node on the inoculation side. This study has shown that the effect of SGE was powerful enough to be quantified in pig both on the systemic and local immune response. We believe this model should be developed with infected tick and could improve knowledge of both tick vector competence and tick saliva immunomodulation.