Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the engineering education system – a students’ perception

Nowadays, we hear more and more complains about the quality of the Romanian educational system that decreased over the last decades. Therefore, one of the three pillars of the 2018-2030 strategy regarding the education system is “the adaptability of the educational system to external changes and trends of the future”. As everybody may notice, trends change with every new generation. Those who are now students, the so-called members of the Z-generation are different from those before them. The authors consider that to identify the best teaching methods for increasing the efficiency of the educational process, it is necessary to address to the representatives of the Z generation. Starting from their expectations, a more efficient strategy can be developed. This will lead to an increase in the quality of the educational activities and a better integration of the graduates on the labor market. The authors chose two universities in Romania (University “Politehnica” of Bucharest and University of Petrosani) for the pilot sample and leaded several focus groups that aimed to identify students’ dissatisfaction and expectations towards the educational process. After analyzing the results, there were identified several elements that can be implemented in the didactic process for improving it.
The Role of Instructional Videos in Psychology Students’ Course Success

Social presence in higher education online learning can be complex and challenging. To examine whether video instruction had an influence on course success, a between-subjects design was chosen to compare two groups of students enrolled in introductory psychology courses at a Christian College in the Southwest United States. The convenience sample (N = 281) was divided into two groups, including those that received video instruction (N = 144) and those that did not (N = 137). The results demonstrated that while there were higher numerical final course grades for the classes that received video instruction, there was not a statistically significant difference in overall course success between the two groups (U = 8947, p = .159). Implications and limitations are discussed.
Inverse Optimal Control for robot arm motions: Improving human-robot collaboration by incorporating human characteristics into optimal motion generation

Human-robot collaboration can be improved if the motions of the robot are more legible and predictable. This can be achieved by making the motions more human-like. It is assumed that humans move optimal with respect to a certain objective or cost function. To find this function an inverse optimal control approach is developed. It uses a bilevel optimization for finding what linear weighted combination of physically interpretable cost functions best mimics human point-to-point motions. The upper level compares the optimal result of the lower level with a reference motion. Two depth cameras are combined in a motion capture setup to record this reference motion. The human arm is modeled as a seven degrees of freedom manipulator, similar to a robot arm model of the YuMi. The bilevel optimization is done with both models, resulting in two differently weighted cost functions. The cost function that was derived using the robot model is then used to generate new motions for the corresponding real robot arm. The results of an experiment show that humans experience these motions as more anthropomorphic and feel at least equally as safe compared to existing motion planning strategies. This proves the validity of the inverse optimal control method and shows it is a step forward for better collaboration between humans and robots.
Assessment of Birth Order on Learning Abilities among Late Adolescent.

The present study assesses the intelligence of female university students in respect to the intelligence of elder and younger siblings. Based on reviews hypothesis were framed to see the significant difference between elder and younger the siblings with respect to their intelligences. Here, Intelligence has defined in ways of learning ability. The study was ex post facto research with n=20 female university students and birth order as main variable. Wechsler Adult Performance Intelligence Scale, subtest picture complication, blocks design, picture arrangement, object assembly has used to collect the score. Simple mean score and Mann Whitney U test has used to see the findings. Analysis and findings has discussed in the article.
Anthropometric characteristics of professional football players in relation to the playing position and their significance for success in the game

Background: Football is a game in which anthropometric characteristics are important factors for specific player positions, where morphological characteristics differ in relation to the competitive level and the position in the game. Body composition is an important indicator of the physical fitness and general health of athletes so today its often discussed in scientific literature. The aim of the research was to determine the differences in the anthropometric characteristics of the professional football players in relation to the player's position and to determine their importance in the game. Material: Twenty-nine male football players of the national team of Serbia participated in the research, in which the body height, weight and Body mass index were measured. Results: The results of the study indicate that statistically significant differences in body height and body weight were recorded between goalkeepers and midfielders (p <0.01) and goalkeepers and attackers (p <0.05) in favor of goalkeepers, while no statistically significant differences were recorded in the Body Mass Index. The lowest height, weight and BMI were recorded in the midfielders. Conclusions: Based on the results of the research it can be concluded that the morphological characteristics have a vital role in determining the success of athletes. Football coaches can use the results of this study as a means to better understand and interpret anthropometric characteristics and their importance in relation to the gaming position. The acquaintance of noticed differences could improve the training process as well as the selection at the early age.
The Influence of Intercultural Competence on Private Self-awareness and Well-being of Syrians Who Reside in Germany

Objective: To assess the level of intercultural competence of Syrians who reside in Germany in order to shed light on patterns and behaviours that are practiced by them in a different culture; and, to compare intercultural competence determinants not only with the respondents’ level of private self-awareness, particularly selfreflection and insight, but also with their level of well-being (depression, anxiety and hostility/aggression). Method: Intercultural competence was measured using a 20-item scale (Attitudes towards People and Things from Other Cultures = APTOC) that was taken from ICCS (Inventory of Cross Cultural Sensitivity a 32-item scale) Cushner (1986). After conducting factor and internal consistency analyses, the 20-item scale APTOC came to consist of 3 main subscales, namely Openness to Other Cultures, Global Mindset and Narrow Mindset. Private self-awareness was measured using the Selfreflection and Insight Scale (SRIS) Franklin and Langford (2002). Well-being was measured with three subscales of the Brief Symptom Inventory (BSI) (Derogatis, 1975) namely Depression, Anxiety and Hostility. In total, 308 respondents completed the questionnaire, and a Pearson correlation and Multivariate Analysis of Variance (MANOVA) were conducted to test the formulated hypotheses. Results: Openness to other Cultures, Global Mindset and Narrow Mindset were found to have a significant impact on Self-reflection and the well-being determinants (except Anxiety). There was no significant correlation between Insight and both Openness to Other Cultures and Global Mindset, but there was a significant negative correlation between Narrow Mindset and Insight. Conclusion: Intercultural competence was found to have a positive impact on Private Self-awareness (Self-reflection and Insight) and Well-being of Syrians who reside in Germany.
Design and Implementation of a Real-time Publish/Subscribe Middleware

Middleware has been widely adopted as an efficient approach to facilitate the development process of large-scale distributed systems. Although this approach can achieve simplified system design and reduced time consumption, it has a strong demand for real-time task processing and data transmitting. Traditional middleware, which lacks the real-time performance guarantee mechanism, cannot be adopted by the distributed systems with strict time restrictions.In order to meet the real-time requirements of distributed systems, the functional requirements of middleware are studied, and a real-time publish/subscribe middleware is designed and implemented in this paper. A hierarchical design is adopted to build this middleware from a model layer, a communication layer and a support layer. The middleware has the data synchronization on distributed objects, Ethernet-based publish/subscribe mechanism and the real-time performance guarantee mechanism.Experiments show that the proposed middleware satisfies the needs of distributed applications, and ensures that the end-to-end data communication delay is less than 1 millisecond, which meets the real-time requirements of data transmission in distributed systems.In this paper, we design and implement a real-time middleware based on the publish/ subscribe mechanism.
Complexity and accuracy analysis of common artificial neural networks on pedestrian detection

: With the development of computer version, deep learning and artificial neural networks approaches like SPP-net, Faster-RCNN and YOLO are proposed. This paper compares them in terms of efficiency and effectiveness. By analyzing the network architecture, SPP-net is more complex than Faster-RCNN and YOLO. By analyzing the experiments, SPP-net and Faster-RCNN are more accurate than YOLO in static detection while opposite in real-time system. Therefore, in real-time pedestrian detection situation, YOLO can perform better. In static pedestrian detection situation, Faster-RCNN or SPP-net can perform better.
Assessment of Student Scores Based on Specific Variables in the Web-Assisted English Grammar Exercises

The general purpose of this study is to assess English language grammar post scores of the learners when they have done web supported exercises; the assessment has been done according to gender, attending English courses, out-of-school learning of English language and the use of other sources other than English textbooks. In order to achieve this aim, the research was carried out with a control and experimental group. Experimental and control groups were formed according to the neutrality rule by equalizing certain variables. In the study, "English Grammar Test" ”and “personal data collection tool”, which are valid and reliable, were used as data collection tools. The experimental group followed the English exercise in a web-supported English learning environment. The data were analysed using statistical techniques. At the end of the study, there was a significant difference in favour of women among the subjects in the experimental group, while no significant differences in other factors were observed between the experimental and control groups. As the most important suggestion, mixed or separate learning environments related to and supporting grammar for speaking, writing, listening and reading skills should be developed or explored while learning English or other languages for learners in social media. Keywords: Web-assisted Learning, English Language Learning, Grammar, gender, social media, out-of-school learning.
Class level software fault prediction using step wise linear regression

Programming measurements was utilized for foreseeing issue in modules of programming ventures. Convenient forecast of flaws enhances programming quality and subsequently its dependability. In this paper, a framework towards subspace grouping of large data set was pro-posed at class level to minimize the error. We composed an iterative calculation for grouping of high dimensional datasets for improvement of a target work. At that point the bunched data sets were examined utilizing Step-Wise Linear Regression to investigate the relationship among a structure variable and the autonomous factors in order to anticipate of damaged and non-faulty classes. To evaluate the supportive-ness of the model, we drove a practical learning on the Attitude Survey Data. The proposed strategy specifically managed blunder variables and consequently gave precise fault prediction least standard error (0.003) when contrasted with the current technique (4.687). Root mean square error which measures the distinction between the assessed error and the real error was (0.8) in the proposed technique. The results demonstrated that the forecast models based on subspace clustering were essentially predominant to the current techniques.
How Does Collaborative Housing Address the Issue of Social Inclusion? A French Perspective

ABSTRACT Collaborative housing in France has reached a turning point. Following the pioneering initiatives of the self-organized groups, more and more original partnerships have recently been developed with local authorities and housing associations to promote more affordable projects, especially within the framework of social housing. But how do these projects deal with the issue of social inclusion? Does economic affordability necessarily imply social diversity and/or social inclusion of all the residents? What are the potential impacts of collaborative housing for disadvantaged groups? To answer these questions, the article is based mainly on a study carried out in 2016 in France, which explored the capacity of collaborative housing to be socially inclusive. The authors analyse different types of projects to discuss the challenge of social inclusion and the way it redefines collaborative housing, contributing at the same time to a better conceptual understanding of this phenomenon.
CONCURRENCY AND COMPUTATION : PRACTICE AND EXPERIENCE Concurrency Computat

Configuration and coordination are central issues in the design and implementation of middleware systems and are one of the reasons why building such systems is more complex than constructing stand-alone sequential programs. Through configuration, the structure of the system is established—which elements it contains, where they are located and how they are interconnected. Coordination is concerned with the interaction of the various components—when an interaction takes place, which parties are involved, what protocols are followed. Its purpose is to coordinate the behaviour of the various components to meet the overall system specification. The open and adaptive nature of middleware systems makes the task of configuration and coordination particularly challenging. We propose a model that can operate in such an environment and enables the dynamic integration and coordination of components by observing and coercing their behaviour through the interception of the messages exchanged between them. Copyright c © 2003 John Wiley & Sons, Ltd.
Use of conceptual relations for semantic integration of scientific publications and research data

The context of this research is the 4th Scientific Paradigm, better known as e-Science. E-Science is characterized by the intensive use of computer networks, distributed digital repositories, and the reuse of research data. This study argues that a scientific publication can be enriched and be closer to the new forms of modern scientific knowledge generation if it is configured according to a model that, through semantic relations, links research data and datasets to conventional publication. Such a publication model that integrates scientific data and search information with results through semantic relations is called an enhanced publication. This paper will present a methodology used for the semantic integration of data and publications made available in a distributed environment. This approach is based on the use of conceptual relations to establish links between distributed digital objects. The results are a taxonomy of relations and an interface model to be computationally implemented. 1. Context This research is developed within the context of an emerging scientific paradigm, known as e-Science or the 4th Scientific Paradigm. This new way of doing science is characterized by the intensive use of computer networks, distributed digital repositories, and the intensive generation and reuse of research data. The informational environment that has arisen as a consequence of these changes has had a significant impact on patterns of scientific communication, especially in terms of the means of communicating and disseminating research results. This work is the result of a doctoral thesis research project which is based on two premises: the first raises the need for a scientific publication model that can express and reflect the new pattern of generating scientific knowledge, rich in data, which can be integrated into publications; the second proposes that this can be accomplished according to the technological possibilities and patterns derived from theories of knowledge organization. These two premises embody the formulation of a hypothesis which argues that a scientific publication can be enriched and be closer to the new forms of modern scientific knowledge generation if it is configured according to a model that, through semantic relations, links research data and datasets to conventional publication. Such a publication model that integrates data and search information with results through semantic relations is called an enhanced publication.
Behind Closed Doors: The Role of Depressed Affect on Risky Choices Under Time Pressure

Previous research suggests that depressive symptoms are associated with altered sensitivity to reward and punishment in various decision-making contexts. Building on this work, this study investigated whether depressed-affect symptoms influenced risky decision making under time pressure. The effect of depressed affect on risky choice was assessed in a reward (Experiments 1A and 1B) and loss (Experiment 2) context under low- and high-pressure conditions. Decisions involved learning to choose between a “sure” option and a “risky” option with identical expected values. In Experiment 1A, depressed affect predicted increased risky decision making under time pressure but did not affect decision making under low pressure. Experiment 1B replicated this effect. In contrast, in Experiment 2, depressed affect led to reduced risk taking in low-pressure condition but did not affect decision making under high pressure. These results suggest that the pattern of risky decision making among those experiencing symptoms of depressed affect depends on performance pressure demands.
Reconocimiento de eventos acústicos mediante el uso de deep learning

This project has implemented a system that can take a random audio signal as input and detect audio events in it that should mach with the source of that audio. For this task it has been considered a few deep learning tecniches, such as: DNN, LSTM and DNN; these are known as Neural Networks. As inspiration it has been used previous published research. Some of them had been done in the Universidad Autónoma de Madrid; for example: “Exploring convolutional, recurrent, and hybrid deep neural networks for speech and music detection in a large audio dataset”, written by Diego de Benito Gorrón, Alicia Lozano Díez, Doroteo Torre Toledano and Joaquín GonzalezRodriguez, or “Audio event detection on Google’s Audio Set database: Preliminary results using different types of DNNs”, written by Javier Darna Sequeiros and Doroteo Torre Toledano. To make this possible at a technical level, it has been necessary the use of two different programming languages: Bash and Python. The last one was chosen because there are some libraries of deep learning, exclusive of Python, that are needed: TensorFlow, that has implemented all the algorithmics, and Keras, the one used to make easier the usage of TensorFlow. It has also been used Numpy for data treatment, mainly matrices. The data needed to make possible the training and the trials has been AUDIOSET dataset. It is a huge set that has more than 2 million audio segments for the users. It is easy to access and it is completely free. Google allows everyone to download it from Youtube. It must be lightened the system implemented in “CNN architectures for large-scale audio classification”, it has been modified just to be part of this project because it allows the user to transform a random audio signal in a matrix of embeddings, which is the input format chosen for this project. Finally, for the evaluation task it has been used the performance measure mean Average Precision or mAP. This measure is the one mainly used for this type of research and even Google use it in their experiments with AUDIOSET dataset. It takes the performance achieved in each class by the classifier and calculate the mean of those values; the result is a number between 0 and 1, been 1 the best result possible.
USI National report on student mental health in third level education.

The primary aim of this survey was to provide an overview of students mental health in third level education in Ireland. The objectives were to: • Describe the demographics of students in third level education in Ireland • Explore the proportion of third level students that report mental health distress and ill health • Provide information on the mental health of specific groups such as LGBTI+, third level students and students with disabilities • Report on the availability and usage of mental health support services for third level students • Produce recommendations for policy relating to student mental health at third level
The Effect of Profesionalism and Auditor Experience on Level of Materiality Judgements with Profesional Ethics and Client’s Credibility as a Moderation

: Opinion about the subject of a financial report makes the public accounting or auditor to be an important profesion. The auditor considers the decisions regarding opinions in the audit report whether or not the material of a commission is influenced by the professionalism and experience of the auditor. Previous research revealed that there were other factors that could weaken and strengthen the direct influence of auditor professionalism and auditor experience on materiality levels, namely professional ethics & client credibility. The number of samples in this study were 86 auditors. The sampling technique uses saturated samples. The number of respondents who filled in completely and returned the results of the questionnaire was 74 auditors. The analysis technique used is MRA. The test results show that (1) professional ethics is not able to moderate the influence of professionalism on the consideration of materiality levels, (2) professional ethics reinforces the experience of the auditor on consideration of materiality levels, (3) client credibility strengthens the influence of professionalism and auditor experience on materiality.