Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-theorising the pre-adolescent child in School Age Care

School Age Care is a setting that is little researched and the research that has been conducted has not often sought the perspectives of older children. This article describes a participatory and ethnographic research project that sought a deeper insight into older children’s experiences of an Australian School Age Care setting, seeking their views about how to successfully program for other children their age. Older children in School Age Care are commonly spoken of as rebellious, bored, disruptive and unsuited to School Age Care. The Foucauldian theories underpinning the research challenged the normative developmental discourses that circulate School Age Care. The research shows that older children have access to these developmental and maturational discourses. The participants actively engaged with language, architecture and resources in the School Age Care setting to actively construct themselves as a more mature, distinct category of child. The findings suggest that School Age Care practitioners should be aware of how developmental discourses are both enacted by children and reinforced through programming design and consider the impacts of segregating routines and practices on children’s play and leisure. While this research does not ‘solve’ the question of older children in School Age Care, it unsettles dominant understandings, therefore inviting practitioners to imagine new programming approaches that might improve School Age Care for older children.
A REAL-TIME BRAIN-MACHINE INTERFACE COMBINING PLAN AND PERI-MOVEMENT ACTIVITIES

Brain-machine interfaces (BMI) map relevant neural activities to the intended movement, known as ‘decoding’. Information about various states of a movement are encoded in the motor areas. These include the kinematic states such as velocity and higher level states such as the intended target. Realtime BMIs have mostly focused on decoding individually either the goal of a movement or its kinematics. However, for goal-directed movements, target information can greatly improve the kinematics decoding.
Empowering teachers and learners in and beyond classrooms: focus on OEPs in reading activities

The present contribution is situated in the framework of a broad government project (entitled Pacte pour un Enseignement d’Excellence) and is specifically devoted to the learning and teaching of modern languages. Our group has been working on the collection, selection, and validation of innovative tools for foreign language learning targeting all levels of proficiency in compulsory education. The present paper reports on a case study that addresses reading strategies outside the classroom for Dutch as a foreign language at A1 level and using a mobile hunt in the Hergé Museum4 (Louvain-laNeuve, Belgium). The intended outcomes of our case study include (1) the promotion of mobile and classroom Open Educational Practices (OEPs) for L2 reading, (2) the development of in-service teachers’ and learners’ digital literacy skills (including among others the coconstruction of Open Educational Resources (OERs) and reflective practices on image rights), and (3) the creation of Professional Learning Communities (PLCs) and communities of practice. The Actionbound mobile app was used for the mobile hunt. The participants involved in 1. Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium; fanny.meunier@uclouvain.be; https://orcid.org/0000-0003-2186-2163 2. Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium; alice.meurice@uclouvain.be; https://orcid.org/0000-0001-7892-1422 3. Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium; julie.vandevyver@uclouvain.be; https://orcid.org/0000-0001-8820-8380 4. See http://www.museeherge. com/en How to cite this chapter: Meunier, F. , Meurice, A. , & Van de Vyver, J. (2019). Empowering teachers and learners in and beyond classrooms: focus on OEPs in reading activities. In A. Comas-Quinn, A. Beaven & B. Sawhill (Eds), New case studies of openness in and beyond the language classroom (pp. 173-186). Research-publishing.net. https://doi.org/10.14705/rpnet.2019. 37.974
Multimodal Cross-guided Attention Networks for Visual Question Answering

Visual Question Answering (VQA) is an attractive topic combining computer vision with natural language processing. It is more challenging than text-based question answering because of its multimodal nature. The VQA reasoning process requires both effective semantic embedding and fine-grained visual comprehension. Existing approaches predominantly infer answers from visual spatial information, while neglecting important semantic information in questions and the guidance information between images and questions. To remedy this, we imitate the human mechanism of cross-reasoning about visual and textual information and propose a multimodal cross-guided attention network (MCAN) for VQA which employs a cross-guided joint learning strategy with a gated activation learning method, which can simultaneously capture both rich visual spatial information and significant semantic information. We evaluate the proposed model on two public datasets: VQA dataset and COCO-QA dataset. Extensive experiments show state-of-the-art performance on the datasets. Keywords—visual question answering; attention; cross-guided; gated activation
THREE-DIMENSIONAL COLLABORATIVE VIRTUAL ENVIRONMENTS FOR SUPPORTING B-LEARNING

This paper advances the use of the Three-Dimensional (3D) Collaborative Virtual Environments in blended learning context as tool to help in the interaction between students, teachers and learning resources. These environments promote new concepts, new approaches and new strategies which have been changing the paradigm of teaching and learning. In addition to these benefits, the virtual words are now being used as environment/development platforms. The development of 3D virtual environments requires a systematic process, led by a series of well-defined phases and activities, which helps us to efficiently develop high-quality applications. The research presented here focus on a enhanced students' performance model based on the methodologies mentioned above and it consists in five main phases: planning, analysis, design, implementation and assessment. The whole process begins with the analysis of students and environment characteristics. The content analysis is performed to explore the structure of environment. The identification of learning events, learning units and instructional methods are included in the design. The assessment is a critical factor to ensure well-designed blended learning environment, therefore the evaluation design process is discussed in detail. The study highlights also a set of design guidelines that help the educators developing appropriate learning styles and preferences according to students' learning needs. Additionally, it stimulates the acquisition of knowledge and provide high-level of interactivity, allowing the exchange of information, experience and the necessary validation of knowledge. The people learn on their own as well as interact in group.
Style of pictorial representation is shaped by intergroup contact

Abstract Abstract Pictorial representation is a key human behaviour. Cultures around the world have made images to convey information about living kinds, objects and ideas for at least 75,000 years, in forms as diverse as cave paintings, religious icons and emojis. However, styles of pictorial representation vary greatly between cultures and historical periods. In particular, they can differ in figurativeness, i.e. varying from detailed depictions of subjects to stylised abstract forms. Here we show that pictorial styles can be shaped by intergroup contact. We use data from experimental microsocieties to show that drawings produced by groups in contact tended to become more figurative and transparent to outsiders, whereas in isolated groups drawings tended to become abstract and opaque. These results indicate that intergroup contact is likely to be an important factor in the cultural evolution of pictorial representation, because the need to communicate with outsiders ensures that some figurativeness is retained over time. We discuss the implications of this finding for understanding the history and anthropology of art, and the parallels with sociolinguistics and language evolution.
Concept of Control of the Reliability of Customs Information

In this paper deals with the problem of modeling customs information and the criterion for controlling its reliability in the process of managing customs clearance of goods is considered. As the main object of the study, the information of the cargo customs declaration, which is submitted to the customs authorities in electronic form for customs clearance of goods, is considered. The main criteria for determining the reliability of customs information, based on the classical methods used by other fields of science, are given.
Factors Influencing the Ethical Sensitivity of Nurses Working in a University Hospital

*Corresponding Author: Asuman Şener, Health Services Vocational School, Ondokuz Mayıs University, Samsun, Turkey E-mail: asuman.sener@omu.edu. tr, Tel: 0 (362) 312 19 19-6398, Fax: 55139 "Bir Üniversite Hastanesinde Çalışan Hemşirelerin Etik Duyarlılıklarını Etkileyen Faktörler" adlı çalışmamız 25.05. 2017-27.05. 2017 tarihli Uluslararası Katılımlı 4.Temel Hemşirelik Bakımı Kongresi'nde (Muğla) poster bildiri olarak sunulmuştur. Received: 13.09. 2018, Accepted: 30.05. 2019 ORIGINAL ARTICLE
Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density

The goal of this work was to analyze the behavior of drivers on third class roads with and without horizontal lane marking. The roads have low traffic volume, and therefore a conventional short-term study would not be able to provide enough data. We used recording devices for long-term (weeks) recording of the traffic and designed a system for analyzing the trajectories of the vehicles by means of computer vision. We collected a dataset at 6 distinct locations, containing 1 010 hours of day-time video. In this dataset, we tracked over 12 000 cars and analyzed their trajectories. The results show that the selected approach is functional and provides information that would be difficult to mine otherwise. After application of the horizontal markings, the drivers slowed down and shifted slightly towards the outer side of the curve.
Visual Analysis of Floating Taxi Data based on selection areas

Tracked movement from numerous observed objects includes often large data size and is difficult to handle, especially in terms of visualization. In the following we describe the possibility of getting more insight into massive movement data. Our inspected data set consists of more than 7000 observed taxis in Shanghai and is referred to as Floating Car Data (FCD). With this term numerous approaches appeared in the last decades facing the problem of how to connect digitized road network with tracked positions of moving objects. The aim is often to improve the modelling of traffic in road networks. Since FCD sets of taxis have often large size not only problems of reasonable processing are appearing but as well advanced ideas of geovisualization. Established interactive traffic maps show one possible solution for the visual inspection. Other approaches use advanced techniques for the detection of interesting patterns, which may be connected with appearing events (e.g. congestion).
Entrepreneurial path dependency in labour market regions: a longitudinal panel study of related and unrelated variety

ABSTRACT We study entrepreneurial path dependency by tracing the development of related and unrelated variety in labour market regions in Norway between 1992 and 2012. Path dependency means that the current socioeconomic process is a function of previous states, related variety means that the regional industry structure is complementary with an overlapping knowledgebase, while unrelated variety means that the structure is fragmented with limited complementarity. With regard to related variety, we find a favourable long-term entrepreneurial path-dependent effect, as the regional industry structure reproduces a pattern of overlapping cognitive models that are transferred into the very fabric of new firms in the regional economy. With regard to unrelated variety, we find no entrepreneurial path-dependent effects at all. We finally find that the regional industry size has an entrepreneurial path-dependent effect on related and unrelated variety, but it is short-term and abates over time. We address the findings’ implications for entrepreneurship.
Güler and Linaro et al Model in an Investigation of the Neuronal Dynamics using noise Comparative Study

Recently, theoretical arguments, numerical simulation and experiments shown that ion channel noise in neurons can have deep impact on the behavior of the neuron's dynamical when there is a limited size for the membrane space. It can be create different models of Linaro al equations by using stochastic differential equations to find the impacts of ion channel noise, and it has been analytically put forward the Güler model. More recently, Güler has discussed that in small neurons the rate functions for the closing and opening of gates are under the effect of the noise. In this research, the investigation of dynamics neurons are determined with noise rate functions. The exact Markov simulations will be employ during the investigation with above analytical models. Comparatively, the results will be presented from these models. The research aims to show more details on the phenomenon recently outlined by Güler.
Hybrid position/force control

This project report presents a hybrid control scheme controlling the joint position and Cartesian contact force of a robot manipulator with inner computed-torque feedforward loop. The control scheme consists of two controllers: the proportional plus derivative position controller and the proportional plus velocity force controller. The controllers are designed based on the model reference control and orthogonal force/position constraints under the assumption of constant desired forces and slowly time-varying motion. Simulations studies performed on a 6 degree of freedom PUMA 560 robot model are presented.
Development of an Optimal Solution for a Location-Routing-Problem Based on 3rd Party Providers

The transportation is the movement of people, animals and goods from one place to another. Nowadays it includes several modes: air, rail, road, water and other modes. In mathematically, the transportation theory is to optimize transportation and allocation of results. In reality, the problem is more complicated: firstly, the distance between 2 places is not always the straight-line distance, that means the transport route will be divided into several parts; secondly the cost of each parts will not be always the same. For example, the high-way transportation cost is not equal to the city or state road cost, if a road transport plan includes both of high-way and normal road, then cost of each parts will be completely different. This means the total cost need to be calculate by adding the cost of all the parts, and the cost of each parts should be figured out first, it will be very tedious if the route is divided into a lot of parts. This paper will give a solution to solve this problem; it includes software using computer navigation technology, and shows how to get the optimize transportation mode by this software. Brief Introduction of Technology Background GPS Technology The main concept of GPS is to use the transmitted data by the satellite to figure out the location of the GPS receiver, the GPS receiver can measure the distance from a satellite to itself, and with this distance, the position of the receiver can be determined. In 2-dimention space, we need at least 3 satellites to determine the position of receiver. Figure 1 shows this situation[2]. Figure 1. Working principle of GPS With 3 equation[4], the location of receiver can be figured out:
Error Analysis on Prepositions Used by the Learners of English as a Second Language in Writing

This study examines omission errors, substitution errors and addition errors in the usage of prepositions by the learners of English as a Second Language (ESL) in writing tasks. The main purpose of the study is to investigate: whether the school children in lower grades tend to omit prepositions more often than in higher grades whereas in higher grades, they show more substitution and addition errors. A pool of 260 Sinhala speaking students from four grades (Grade 4, Grade 6, Grade 8 and Grade 10) participated in this study. A picture story writing task where prepositions needed to be abundantly used was administered, and errors in the use of prepositions were analysed. The main findings concluded; although more omission errors were found in the lower grades significantly, the increase in substitution errors towards higher grades is not very sharp. These findings can be used in the ESL classroom to facilitate teaching English prepositions.
NUMERICAL SIMULATION OF HIGH-SPEED IMPULSIVE NOISE OF THE PZL W3 A “ SOKÓŁ ” ( FALCON ) HELICOPTER MAIN ROTOR IN FORWARD FLIGHT

The paper presents result of the numerical simulation of the flow and acoustic field generated by the PZL W-3A “Sokół” (Falcon) helicopter main rotor in high-speed forward flight based on the URANS approach and chimera overlapping grids technique. A refined CFD model (40+ million of volumes, 600+ blocks chimera grid) was designed to resolve the flow-field together with the low-frequency content of the acoustic pressure spectrum in the near-field of the rotor blades to allow for the high-speed impulsive (HSI) noise prediction. The detailed, 3d data was recorded for one rotor revolution (approx. 3 TB) allowing exceptional insight into physical mechanisms initiating the occurrence and development of the HSI noise phenomenon.
Diversified assessment benchmark of vision dataset-based perception in ship navigation scenario

Visual object detection is one of the most important aspects of the autonomous ship's perception. In order to make various deep learning-based target detection models have a unified performance evaluation standard, we provide an image dataset in various ship navigation scenarios and its corresponding target detection benchmarks, optimize the target classification strategy, and use the real navigation scene dataset to train the milestone target detection models, which effectively proves that the object detection SOTA model has uneven performance in real specific scenarios. It is difficult to realize the industrial deployment of visual perception for autonomous ship navigation.
UAV Charging Path Planning Based on Adaptive Hover-Improved Particle Swarm Algorithm

When the large number of sensors in wireless rechargeable sensor network (WRSNS), for the traditional one-to-one charging mode of low efficiency, put forward an adaptive hover charging algorithm AHPA, to minimize the charging time in the target area, using the improved particle swarm algorithm for path planning.First, the sensor network in the target area is fully covered based on the minimum circle coverage algorithm, and the initial charging and suspension position of UAV is determined by the minimum circle coverage algorithm.During the process of charging, UAV automatically adjusts the hover position in 3D space according to the sensor position and power state in the region.In the simulation experiments, this algorithm is compared with the one-to-one charging method, the cluster partition algorithm and the node hover genetic algorithm, the results show that this algorithm has obvious advantages in the charging completion time.
ACADEMIC PERFORMANCE AND EDUCATIONAL VIDEO GAMES: DOES GENDER MATTER?

The academic literature suggests that differences between male and female students regarding video gaming habits are blurring. While it persists slightly differences in media affinity regarding the use of video games -mainly based on video game genres-our research question addresses precisely if gender matters regarding students’ performance while playing an educational video game. To answer our research question, a post-test pre-experimental design was used with students playing an educational video game designed to learn English vocabulary. Our main results suggest no gender differences on students´ performance while playing the educational video game (measured both as a subjective measure: students´ perceived performance: and as an objective one: students´ video game scores) nor in the test that students´ took after playing the educational video game. Therefore, despite gender differences were found in media affinity (with male students playing more video games than female students) these differences did not affect students´ performance. The main limitations of the study and future research opportunities are also addressed.
What Does an Emerging Intelligence Augmentation Economy Mean for HF/E? Can Learning Engineering Help?

The emergence of an intelligence augmentation economy will fundamentally change the nature of work and what people need to learn and do to be its contributors and beneficiaries. This paper explores what this means for the science and practice of human factors/ergonomics design and engineering as well as how we teach it. We summarize the augmented economy and HFES relevant examples of learning within it. We them point out some of the challenges to HFES within this setting. Finally, we propose the learning engineering process as one model that might help advance the field respond to the intelligence augmentation economy.
Dissecting the genetic architecture of sunflower head diameter using genome-wide association study

Sunflower (Helianthus annuus L.) plays an essential role in meeting the edible oil demand worldwide. Sunflower seed yield can be decomposed into several yield component traits, one of which is the head diameter. In 2019, 2020, and 2022, we evaluated the head diameter phenotypic variation on a set of diverse sunflower accessions (N=342) in replicated field trials. By combining three years of field data, the broad sense heritability (H2) of the head diameter trait was estimated to be 0.88. Then, a subset of N=274 accessions was genotyped by using the tunable genotyping-by-sequencing (tGBS) method, resulting in 226,779 high-quality SNPs. With these SNPs and the head diameter phenotype, the genome-wide association study (GWAS) was conducted using two statistical approaches: 1) the mixed linear model (MLM) and 2) the fixed and random model circulating probability unification (farmCPU). The MLM and farmCPU GWAS approaches identified 106 and 8 significant SNPs that were placed close to 53 and 21 genes, respectively. Two significant peaks were identified in MLM, with a strong signal on chromosome 10 and a less strong signal on chromosome 16. The farmCPU method detected the same signals on chromosomes 10 and 16 and several additional significant signals on other chromosomes. The head diameter associated genetic loci and the underlying candidate genes can be leveraged for further functional validation and serve as a basis for sunflower oil yield improvement.