Miracle-dz/UniFAR-FTUs huggingface dataset:
EDUCATION FOR SUSTAINABLE DEVELOPMENT. PERSPECTIVES ON INEQUALITIES THROUGH A DIGITAL SERIOUS GAME IN HIGHER EDUCATION FOR STUDENT TEACHERS

The background of our project is the 2030 Agenda of the United Nations, which was published in 2015 in the document "Transforming our World". The UN's 17 sustainable development goals are part of the 2030 Agenda, including gender equality, quality of education and climate protection. ESD and Global Learning have been developed accordingly. They also aim at transformative learning. ESD has received a lot of attention in recent years. It is now a crosscutting task for all teachers in schools in Germany, as they are expected to integrate ESD into their teaching, but this makes it clear that future teachers will have to acquire relevant competences and acquire specific expertise related to ESD in the course of their training. After all, they will be the ones who make future generations co-creators of a sustainable society. ESD is therefore an enormous challenge for the education sector. This is exactly where our project comes in. In an interdisciplinary teaching and research project funded by TU Dortmund University, we are developing a digital Escape Room in which students have to solve puzzles that map dilemmas from SDG 10 (Less Inequality). The BNE Room cartography simulates a school building or a classroom in which the students act out different situations. The avatars are student teachers who are confronted with concrete tasks and dilemmas from SDG 10 that can only be solved in an interdisciplinary small group. This is achieved by designing the Escape Room like an adventure game or treasure hunt. SDG 10 is the biggest educational challenge for us, as many students in Germany are disadvantaged. As the students come together from different disciplines, we use the opportunity for interdisciplinary exchange of student teachers, combined with the aim to raise awareness of social inequalities (poverty, inclusion, gender, etc.) in the school context.
Alignement de termes de longueurs variables en corpus comparables spécialisés

Nous proposons dans cet article une adaptation de l'approche compositionnelle etendue capable d'aligner des termes de longueurs variables a partir de corpus comparables, en modifiant la represen-tation des termes complexes. Nous proposons egalement de nouveaux modes de ponderation pour l'approche standard qui ameliorent les resultats des approches etat de l'art pour les termes simples et complexes en domaine de specialite. ABSTRACT Alignment of variable length terms in specialized comparable corpora We propose in this paper an adaptation of the extended compositional approach able to align terms of variable lengths from comparable corpora, by modifying the representation of complex terms. We also propose new weighting modes for the standard approach that improve the results of state-of-the-art approaches for simple and complex terms in specialised domains. MOTS-CLES : Multilinguisme, alignement, corpus comparables, vecteur de contexte.
Water management and climate change : dealing with uncertainties

1. Introduction 2. Adapting to climate change: towards societal water security in dry-climate countries 3. Australian water policy in a climate change context: some reflections 4. Characterizing the water extremes of the new century in the US South-west: a comprehensive assessment from state-of-the-art climate model projections 5. Impacts of climate change on the hydrological cycle in Mexico 6. Climate change projections of streamflow in the Iberian peninsula 7. Downscaled climate change projections over Spain: application to water resources 8. The application of hydrological planning as a climate change adaptation tool in the Ebro basin 9. Measures against climate change and its impacts on water resources in Greece 10. Water and disasters: a review and analysis of policy aspects 11. Managing drought risk in water supply systems in Europe: a review
Towards place-based privacy: Challenges and opportunities in the “smart” world

The emergence of “smart” technologies has given rise to new interaction models merging our physical realities with our digital environments. As a result, new privacy threats have emerged, substantially impacting both individuals and groups. In this short paper, we summarize many of the privacy challenges we face in the smart and connected world, and identify opportunities for further research. Drawing from the recent literature on geoprivacy, user-tailored privacy, and group privacy, we explore this topic through the lens of contextually aware, place-based, or platial, information analysis.
Control of Deterministic Chaotic Modes in Power Systems

The paper examines a new approach to controlling deterministic dynamical chaotic mode of power system with two electric generate-sources. A control law is synthesized in the class of one-parameter structurally stable mappings from catastrophe theory. Analytical calculations and a numerical experiment in MatLab showed that the proposed system excludes the generation of a deterministic chaotic mode for any changes in the uncertain system parameters. The study of the control system is carried out by the gradient-velocity method Lyapunov vector functions
Sports Courage in Malaysian Silat Athletes: 2 Confirmatory Factor Analysis of the Malay Language 3 Version 4

: Sports courage is one of the most important attributes to help competitive athletes 17 overcome anxiety, nervousness, and other psychological obstacles but this field of study is still being 18 overlooked by most athletes and coaches. The purpose of this study is to validate the Malay 19 language version of the Sports Courage Scale (SCS-M) for Silat athletes using confirmatory factor 20 analysis (CFA). Data was collected during 9 th UPSI International Pencak Silat Championship in 21 Malaysia. A total of 258 competitors (male = 66.7%, female = 33.3%), with a mean age of 18 years (SD 22 = 2.6) volunteered to participate in this study. The original SCS with 50 items underwent forward 23 and backward translations into the Malay language and was pre-tested with ten martial arts 24 athletes. Then, Silat athletes were asked to complete the translated SCS-M questionnaire. There were 25 five factors in the SCS-M (i.e., mastery, determination, assertiveness, venturesome, and self- 26 sacrificial behaviour). The first hypothesised model with 50 items did not result in a good fit to the 27 data (RMSEA = 0.06, CFI = 0.93, NFI = 0.87, NNFI = 0.93, RMR = 0.14, SRMR = 0.09). A total of 17 28 problematic items were identified and were removed iteratively. The final measurement model with 29 33 items fit the data well (RMSEA = 0.06, CFI = 0.94, NFI = 0.89, NNFI = 0.94, RMR = 0.05, SRMR = 30 0.07). The reliability of each subscale based on Cronbach’s alpha ranged from 0.64 to 0.76. The 31 convergent and discriminant validity were achieved for the final measurement model. The revised 32 version of SCS-M with 33 items was considered valid and reliable for measuring the sports courage 33 in Silat athletes in Malaysia.
Inhalation of marijuana affects Drosophila heart function

Medical uses of marijuana have been recently approved in many countries, and after a long ban on research, there is despicable scientific evidence regarding its action and side effects. We investigated the effect of inhalation of vaporized marijuana on cardiac function in Drosophila melanogaster, a suitable genetic model for assessing cardiovascular function. Chronic exposure of adult flies to vaporized marijuana reduces heart rate, increments contractility and prolongs relaxation. These changes are manifested in the cardiomyocytes with no effect in calcium handling, and in the absence of the canonical cannabinoids receptors identified in mammals. Our results are the first evidence of the in vivo impact of phytocannabinoids in D. melanogaster and open new paths for genetic screenings using vaporized compounds, providing a simple and affordable platform prior to mammalian models.
Placement and Power Allocation for NOMA-UAV Networks

Unmanned aerial vehicles (UAVs) can be used as flying base stations to provide ubiquitous connections for mobile devices in over-crowded areas. On the other hand, non-orthogonal multiple access (NOMA) is a promising technique to support massive connectivity. In this letter, the placement and power allocation (PA) are jointly optimized to improve the performance of the NOMA-UAV network. Since the formulated joint optimization problem is non-convex, the location of the UAV is first optimized, with the total path loss from the UAV to users minimized. Then, the PA for NOMA is optimized using the optimal location of the UAV to maximize the sum rate of the network. Simulation results are presented to show the effectiveness and efficiency of the proposed scheme for NOMA-UAV networks.
An Analysis of the Performance of a Grid- Connected Hybrid Power Generation System Combining Wind and SOFCs, with an Ultracapacitor Storage Unit

This paper explores the usage of hybrid power generation system based on a Solid Oxide Fuel Cell (SOFC), Wind, and an Ultra-Capacitor (UC) in a grid-connected scheme. The UC acts as an energy storage system to compensate for the slow dynamic response of the SOFC. This combination of components effectively maintains a stable output of power from the Wind system. Control systems are implemented to manage the power converters associated with the energy system to meet the expected demand. The SOFC needs to increase its power in the face of changes in the inverter power or a decrease in Wind power, and in both cases, the UC supplies energy until the SOFC reaches the desired power output level. Recharging of the UC is done using Wind power. The hybrid system is capable of providing constant power irrespective of fluctuations in wind speed. Results obtained from simulations are presented to demonstrate the performance of the hybrid system with respect to the changing wind speed and load.
REDUCING ACCESS BARRIERS, HIDING LEARNING BARRIERS: AN ETHICAL (KANTIAN) CRITIQUE OF THE OPEN ADMISSIONS MODEL USED IN MOOCS

Massive Open Online Courses (MOOCs) is an innovative instructional technology that promises to democratize education. For more than a decade, highly reputable universities and companies have created MOOCs and offered them on online platforms such as Coursera, EdX, and Future Learn. The MOOCs platforms use an open admissions model: Users can enroll in a course with a click of a button and without applying for admissions. The fees for enrollment vary from platform to platform but they all tend to be relatively low. The open admissions model appears to be empowering learners by removing access barriers such as high costs and selective admissions. However, there is extensive empirical evidence that MOOCs have high dropout rates and that the completion of a MOOC requires strong academic and self-regulation skills, skills that not all learners have. This reality raises ethical concerns about whether MOOCs platforms are deceiving learners by encouraging them to enroll and pay for courses without giving them information about the learning barriers that they will likely encounter. In this article, I analyze the open admissions model of MOOCs platforms based on the Kantian theory of morality. The Kantian theory of morality rests on the concept of rational freedom and the duty to protect and promote rational freedom. Correspondingly, my analysis examines the extent to which MOOCs platforms are promoting and/or constraining rational freedom. I first argue that the open admissions model can positively contribute to the freedom of learners by giving them access to opportunities for developing their talents. I then argue that while the open admissions model facilitates access to learning, it is currently not supporting learners in understanding the barriers that they will likely encounter in a MOOC (such as the tendency of novice learners to overestimate their competences, the absence of expert guidance in MOOCs, and the need for high levels of self-regulation to succeed in a MOOC). To support learners in making free rational decisions as opposed to rushed uninformed decisions, MOOCs platforms should help them better assess their readiness for a course. This could be achieved by requiring learners to complete an assessment prior to enrolling in a course. Automated feedback on the assessment can support learners in better understanding the competences they need to have and the time commitment they need to make to successfully complete the course.
Cloud effects on evaporation at a sub-tropical site

Water usage impacts the management of our water resources. It is believed that accurate information on the hydrological cycle disseminated to the public, will considerably alter consumer usage behaviour. Evapotranspiration is one of the most variable and sensitive of the hydrological components and it is imperative that we fully understand what environmental factors directly or indirectly affect evapotranspiration. The objective of this study was to confirm the indirect affect of clouds on evaporation by examining how clouds affect variables used by the Penman-Monteith equation. As expected, during the day or night it was found that clouds had a negative correlation with solar radiation and temperature, and a positive correlation with humidity all at the earth's surface. There was no significant relationship between wind speed and clouds except during the night. Correlation coefficients, with respect to cloud, for temperature and humidity varied only slightly from day to night, but interestingly wind speed showed a significant change from 0.077 to 0.264. These findings may suggest that there are some occasions when 'water-wise' activities, for example watering the garden at night to decrease potential evaporation, may not be as beneficial as previously thought.
Exponential stability of impulsive stochastic functional differential systems with Markovian switching

This paper is concerned with the pth moment exponential stability of impulsive stochastic functional differential systems (ISFDSs) with Markovian switching. By using the Lyapunov function method and Razumikhin technique with stochastic version as well as stochastic analysis theory, some new stability criteria of pth moment exponential stability for ISFDSs with Markovian switching are obtained. Main results show that ISFDSs with Markovian switching may be exponentially stabilized by impulses. An example is also discussed to illustrate the efficiency of the results.
The Emission, Transport and Deposition of Aeolian Ammonia From Poultry Farm to Pumicestone Passage: Use of TAPM to Estimate Annual Loading.

The Air Pollution Model (TAPM) was used to investigate the transport of ammonia across the Sunshine Coast region, following its emission to the atmosphere from 41 poultry farms in the district. Both the dry and w et deposition of ammonia, directly into the Pumicestone Passage w ater body and also onto the surrounding catchment, were simulated for each hour over the entirety of 2005. The simulations indicate that most of the ammonia deposition occurs within a relatively short distance from the farms, although the annual loading into the w ater body is not insignificant and may contribute to the formation of algal blooms.
Analyzing Impact of Different Inter-Arrival Time Distributions on the Performance of IoT Systems

Poisson arrival-based analytical traffic models are found to be inappropriate for IoT networks. Many empirical studies confirm that beta, gamma, generalized exponential, generalized Pareto, lognormal and Weibull distributions characterize the inter-arrival time of different types of IoT traffic. It then becomes imperative to examine the impact of various arrival patterns on the quality of service measures of IoT systems. The paper presents GE/M/1 model where inter-arrival time follows generalized exponential distribution and service time is exponentially distributed. The key finding of the analysis of GE/M/1 model is that the mean queue length as well as mean delay remain lower than Poisson arrivals-based M/M/1 when shape parameter is greater than scale and vice-versa. Since, traffic models of generalized Pareto and Weibull distributions are analytically intractable, a detailed comparative performance study of various types of arrival patterns with exponential and deterministic service times have been performed using Monte-Carlo simulation. The results reveal that the parameters of inter-arrival time distributions play key role in determining the performance of IoT systems. These findings are useful for designing efficient congestion control algorithms for IoT networks.
DATA VISUALISATION AS A TOOL FOR PUBLIC ENGAGEMENT AND EMPATHY BUILDING

Visualisations provide an accessible way to unveil new patterns or promote new perspectives on data. Data visualisations can also aid in highlighting the context and scope of social issues and is a compelling way to disseminate research findings to the general public. This paper presents an interactive exhibit displayed at the 2022 Accelerate Creativity and Innovation Festival, at the Smithsonian Institution's National Museum of American History. The exhibit utilised participatory and interactive visualisations, prompting visitors to share their experiences regarding trust and respect in maternity care. This case study showcases the potential impact of utilising participatory visualisation activities by a design research team to inform and actively involve museum visitors in exploring sensitive topics surrounding maternity care and postnatal care inequities. The use of these activities allowed for an inclusive experience, encouraging visitors to actively participate, reflect, and contribute to the conversation. Additionally, it allowed the team to disseminate and validate their findings.
3D Printed PLA-based SIW Bandpass Filter with Artificial Dielectric Material

It is well-known that filter is an essential component in wireless communication systems. Recently the development of wireless communication systems requires a compact and lightweight device. Therefore, in this paper, the structures of substrate integrated waveguide (SIW) and artificial dielectric material (ADM) are proposed for the development of compact and lightweight bandpass filter. The utilization of SIW structure can minimize losses at high frequencies while reducing the dimension. Whilst, the involvement of ADM structure can reduce the dimension of radio frequency (RF) device without deteriorating its performance. However, the combination of these two structures can increase the complexity of fabrication process, as well as the weight of filter significantly. Therefore, a 3D printing technology can be considered as a means in the fabrication process of SIW bandpass filter with ADM. Furthermore, the use of 3D printing technology with polylactic acid (PLA) as a filament can also reduce the weight of filter. It is noted that PLA is a lightweight material and widely used in 3D printing technology. After fabrication and coating process with high conductivity paint, the prototype of 3D printed PLA-based SIW bandpass filter with ADM is characterized experimentally. The characterization results show that the prototype can operate at multiple frequency bands with the center frequencies of 2.71 GHz, 3.835 GHz, 5.14 GHz, and 7.615 GHz, and the bandwidth responses of 0.27 GHz, 0.675 GHz, 1.25 GHz, and 0.63 GHz, respectively.
Metabolic flexibility

Human physiology needs to be well adapted to cope with major discontinuities in both the supply of and demand for energy. This adaptability requires ‘a clear capacity to utilize lipid and carbohydrate fuels and to transition between them’ ( Kelley et al. 2002b). Such capacities characterize the healthy state and can be termed ‘metabolic flexibility’. However, increasing evidence points to metabolic inflexibility as a key dysfunction of the cluster of disease states encompassed by the term ‘metabolic syndrome’. In obese and diabetic individuals this inflexibility is manifest in a range of metabolic pathways and tissues including: (1) failure of cephalic-phase insulin secretion (impaired early-phase prandial insulin secretion concomitant with failure to suppress hepatic glucose production and NEFA efflux from adipose tissue); (2) failure of skeletal muscle to appropriately move between use of lipid in the fasting state and use of carbohydrate in the insulin-stimulated prandial state; (3) impaired transition from fatty acid efflux to storage in response to a meal. Finally, it is increasingly clear that reduced capacity for fuel usage in, for example, skeletal muscle, as indicated by reduced mitochondrial size and density, is characteristic of the metabolic syndrome state and a fundamental component of metabolic inflexibility. Key questions that remain are how metabolic flexibility is lost in obese and diabetic individuals and by what means it may be regained.
N-Elements Pyramidal Horn Antenna Arrays for Ku Band Applications

Modern wireless systems require high gain, high bandwidth and antennas capable of good performance. In this article are presented the design and simulation of several linear and planar arrays of pyramidal horn antennas at the frequency of 13.3 GHz for satellite applications. First, antennas directivity is calculated for the three types of horn ($E-\text{plane}$ sectoral horn, $H- \text{plane}$ sectoral horn and pyramidal horn), and then the dependence of the distance between the elements and the phase dependence for each element is verify. The dependence of the radiation pattern on the element spacing the excitation of each element with different phase and half power beamwidth in the $E-\text{plane}$ and the $H-\text{plane}$ are discussed. In the linear and planar array with identical elements the optimal element spacing is $4\lambda$. In the case of a linear array, the beamwidth is reduced when the array consists of several identical elements and the distance between the elements is $4\lambda$. In a two-element linear array, two main lobes are obtained if the phase of one of the elements is 0° and the phase of the other is 180°. Good performances are obtained, for an optimal variant of a $2 \times 2$ antenna array, when the distance between the antennas is $4\lambda$, the current magnitude is the same and the phase of the elements is 0° or 180. The phase of each element determines the maximum radiation direction of the antenna array, which represents an important and positive aspect because there is no need to manufacture an antenna for each application, thus reducing manufacturing costs. These linear and planar arrays of pyramidal horn antennas can be used to receive signals transmitted from multiple satellites, depending on how many lobes have an equal maximum magnitude. The antenna array design was simulated by using MATLAB and HFSS software. It had resulted that the proposed antenna array can be used in the Ku frequency band.