Miracle-dz/UniFAR-FTUs huggingface dataset:
The growth of ICT in this era persuade involvement of youth in e-commerce.

Daily routine of people today is related in Information Communication and Technology (ICT) either activities and socioeconomic. The ICT through digital economy had opened new way business activity called electric commerce known as e-commerce (Berisha Shaqiri,2015). This research study about involvement youth generations doing e-commerce activities, which is to investigate the factors that persuade their involvement, to identify the medium and type of product sold in e-commerce, also to analyze the problems that facing by them in doing e-commerce selling. The research conduct by online survey questionnaire as the method to find research data and the respondents target is youth in age 18-21. This study identifies that medium effectively used in doing e-commerce is Instagram, followed by WhatsApp and then Facebook. While the most factor youth doing e-commerce determined that it able to help increase stipend and then, next factor is the power of internet to help youth selling their product. As a conclusion we can say, the involvement of youth generation as a seller in e-commerce still growth since this is the easy way to increase their monthly income.
Supported ionic liquid membrane in membrane reactor

Membrane reactor is a device that integrates membrane based separation and (catalytic) chemical reaction vessel in a single device. Ionic liquids, considered to be a relatively recent magical chemical due to their unique properties, have a large variety of applications in all areas of chemical industries. Moreover, the ionic liquid can be used as membrane separation layer and/or catalytically active site. This paper will review utilization of ionic liquid in membrane reactor related applications especially Fischer-Tropsch, hydrogenation, and dehydrogenation reaction. This paper also reviews about the capability of ionic liquid in equilibrium reaction that produces CO2 product so that the reaction will move towards the product. Water gas shift reaction in ammonia production also direct Dimethyl Ether (DME) synthesis that produces CO2 product will be discussed. Based on a review of numerous articles on supported ionic liquid membrane (SILM) indicate that ionic liquids have the potential to support the proce.
Deep Residual Fusion Network for Single Image Super-Resolution

Convolutional neural networks have been applied in the field of single-image super-resolution (SISR) and have achieved a series of outstanding results. However, most of the SISR research still attempt to pursue wider and deeper network structure, without paying enough attention to the correlations between different features. In order to solve these problems, deep residual fusion network (DRFN) is proposed for more powerful feature expression and feature learning. Specifically, we propose a feature fusion group (FFG) structure, which can effectively use the relevant features extracted from the residual attention group (RAG) and fuse them to be more discriminative. Residual attention group (RAG) includes channel attention module (CAM) and spatial attention module (SAM), which uses attention mechanism to refine features. DRFN also makes full use of nested residual connections, skipping redundant low-frequency information to enhance circulation, thereby focusing the calculation on more important high-frequency components. Extensive experimental results have proved the effectiveness of our model. And our model finally achieves excellent performance in terms of both quantitative metrics and visual quality.
Density functional theory simulation of magnetism due to atomic vacancies in graphene using siesta

Spintronics generally refers to technology where devices utilise the spin of the electron in addition to its charge for information transmission, processing and storage.Graphene is a sheet of carbon atoms bound together with double bonds (called the sp2bonds) in a thin, one atom thick layer. It is a very special material because of the large spin relaxation length and ballistic transport characteristics that can provide a great platform for developing spin-polarized devices. The carbon atom itself does not own any magnetic moment, therefore, the researches on graphene-based spintronics mainly focus on the substantial magnetism in graphene due to the presence of defects. This study will investigate the magnetism originating from quasilocalised states inducedby defects in graphene sheet using first principle approach. The density functional theory calculations were performed using SIESTA software in the spin-unrestrictedmanner, using the diagonalization-based method for solving Kohn-Sham equations.The calculation was done in parallel modes. The generalized gradient approximation(GGA) exchange-correlation functional of Perdew, Burke and Ernzerhof (PBE) was used throughout this work. In addition, all the calculations for the models were carried out using the double-zeta plus one polarization (DZP) basis set. In this study, the magnetic moments generated due to atomic vacancies were calculated for supercellsof different sizes namely 3×3, 4×4, 5×5, and 6×6 multiples of the graphene unitcell.The results show that the values of the magnetic moment in graphene supercell sstrongly depend on the size of the supercell, the number of the vacancies as well as on the sublattice where the vacancies are located. This is generally consistent with Lieb’stheorem regarding the magnetism in materials with different sublattices. Furthermore the presence of exchange splitting in the density of states (DOS) for electrons with different spins can be considered as indication that this magnetism is of the itinerant type and this should enhance the potential of using graphene for spintronic devices
External contexts and movement behaviors in ecological momentary assessment studies: a systematic review and future directions

ABSTRACT This systematic review synthesized evidence from ecological momentary assessment (EMA) studies examining associations between external contexts (social, physical, or time-based) and everyday movement behaviors in children and adults. Published English articles were searched in multiple databases and assessed for methodological quality. The 29 eligible EMA studies differed in their sample size, EMA design, and activity measures. Available evidence indicated that specific external contexts may play a role in shaping individuals’ everyday movement behaviors. For social contexts, the presence of others or recent interaction with others was related to more physical activity and less sedentary time. For physical contexts, there were consistent findings suggesting that staying outdoors (vs. indoors) was related to increased physical activity and decreased sedentary behavior. For time-based contexts, time of day or weekend (vs. weekday) influence on movement behaviors was not consistent. Favorable weather conditions were associated with greater physical activity, while poor weather conditions were conducive to sedentary behavior. The influence of other social, physical, and time-based factors on movement behaviors was mixed or inconclusive. Future EMA work should include clinical and minority populations, examine moderators and other behavior parameters, and test the potential mechanisms explaining the associations between external contexts and everyday movement behaviors.
Effects of using cueing in instructional animations on learning and cognitive load level of elementary students in science education

ABSTRACT In this study, the effects of using cueing with a narrator in animations on science learning and cognitive load level of elementary students have been revealed. For this purpose, a quantitative research design is used in the study. 223 third grade students, 124 of them are girls and 99 of them are boys, have formed the sample. The results show that there is a significant difference between students’ pre-test and post-test scores in both experimental (cueing) and control (non-cueing) groups. Post-test scores of the students in the experimental group are higher than the control group. In addition, there is a meaningful difference in students’ learning, cognitive load levels and mental efforts in favor of the experimental group. On the other hand, there is no significant difference in terms of difficulty perceptions between groups. Lastly, negative and medium correlation is found between their learning and cognitive load levels in the experimental group. Consequently, using cueing in animations is important in order to increase students’ learning and reduce their cognitive load level.
Hybrid Iris Segmentation Method Based on CNN and Principal Curvatures

In this article the new hybrid iris image segmentation method based on convolutional neural networks and mathematical methods is proposed. Iris boundaries are found using modified Daugman’s method. Two UNet-based convolutional neural networks are used for iris mask detection. The first one is used to predict the preliminary iris mask including the areas of the pupil, eyelids and some eyelashes. The second neural network is applied to the enlarged image to specify thin ends of eyelashes. Then the principal curvatures method is used to combine the predicted by neural networks masks and to detect eyelashes correctly. The pro- posed segmentation algorithm is tested using images from CASIA IrisV4 Interval database. The results of the proposed method are evaluated by the Intersection over Union, Recall and Precision metrics. The average metrics values are 0.922, 0.957 and 0.962, respectively. The proposed hy- brid iris image segmentation approach demonstrates an improvement in comparison with the methods that use only neural networks.
Traffic Status Evolution Trend Prediction Based on Congestion Propagation Effects under Rainy Weather

In rainy weather, the accurate prediction of traffic status not only helps road traffic managers to formulate traffic management methods but also helps travelers design travel routes and even adjust travel time. In this paper, based on six-dimensional data (e.g., past and present spatiotemporal traffic status, road network structure, pavement type, water accumulation, and rainfall level), a fuzzy neural network (FNN) prediction system is proposed to predict traffic status. The traffic status evolution trend is related not only to the existing traffic but also to the new traffic demand. Therefore, the FNN prediction system designed includes offline and online parts using the data of the past and the day separately and avoids the forecast of new traffic demand. The fuzzy C-means clustering algorithm is applied to cluster traffic status data under similar rainy weather in the past to form an offline initial dataset, which is used to train FNN weight parameters. The online part uses real-time detection data and the parameters trained by the offline part to further predict the traffic status and returns the prediction errors to the offline part to correct the weight parameters to further improve prediction accuracy. Finally, the FNN prediction system is verified using real Beijing expressway network data. The verification results show that the prediction system can guarantee prediction accuracy and can be used to effectively identify traffic status.
Impact of condensed tannin-containing legumes on ruminal fermentation, nutrition, and performance in ruminants: a review

Abstract: Legume forages, such as sainfoin (Onobrychis viciifolia Scop.) and birdsfoot trefoil (Lotus corniculatus L.), can increase the forage quality and quantity of Western Canadian pastures, thus increasing producer profitability due to increased gains in grazing ruminants, while also reducing risk of bloat in legume pastures due to the presence of proanthocyanidins. Proanthocyanidins or condensed tannins (CT) are secondary plant polyphenol compounds that have been regarded as anti-nutritional due to their ability to bind protein in feeds, enzymes, and microbial cells, therefore disrupting microbial digestion and slowing ruminal protein and dry matter (DM) digestion. Research has shown that at high concentrations (>50 g·kg−1 DM), CT can disrupt microbial digestion. However, at low dietary inclusion rates (5–10 g·kg−1 DM), they reduce bloat risk, increase ruminal undegradable protein, reduce enteric methane production, and benefit anthelmintic activity. Yet, research gaps still exist regarding grazing persistence and forage yield of novel CT-containing forages and their biological activity due to their vast differences in CT stereochemistry, polymer size, and intermolecular linkages. The objectives of this review are to summarize information regarding the impact of CT on ruminal fermentation, carbohydrate and protein metabolism, and the potential to identify and select for forages that contain CT for ruminant production.
Addressing Educational Needs of Teachers in the EU for Inclusive Education in a Context of Diversity (INNO4DIV): Volume 3 - Part 1: Assessment guidelines for teacher education and training practices on intercultural and democratic competence development.

In spite of policy impetus, research shows that teachers struggle to address the increasing diversity in classrooms, among others, due to the lack of competences to deal with it. The acquisition of Intercultural Competence (IC), which could be defined as "the ability to mobilise and deploy relevant attitudes, skills, knowledge and values in order to interact effectively and appropriately in different intercultural situations", is a crucial need for teachers to deal with diversity and to be successful in their teaching. In this context, in 2019 the JRC launched the INNO4DIV project with the aim to support polices in the field of IC of teachers, through the analysis of literature and innovative good practices which have successfully addressed the existing barriers for teachers' IC development. In this context, it was necessary to identify innovative practices for overcoming barriers in the development of intercultural and democratic competences (IDC) of teachers. Given the wealth and variety of educational practices, and in order to preserve the scientific rigour of the identification process, this report offers the rationale and the description of the selection criteria that have been developed according to the conceptual framework of the project, Volume 1. Teachers' Intercultural Competence: Working definition and implications for teacher education. Similarly, the process for case identification and selection is also described. Following a brief explanation of the sources for the selection of cases (Section 2), the report focuses on establishing the selection criteria, which are divided into generic and specific criteria (Section 3). The generic criteria apply to all the cases. The specific criteria, however, relate to the scope of each specific Key Enabling Component (KEC), and are the most direct reference to the particular features of the cases. Finally, the document contains an elaborate protocol for case selection that will lead to the final list of selected cases.
Applying Software Metrics to RNN for Early Reliability Evaluation

Structural modeling is an important branch of software reliability modeling. It works in the early reliability engineering to optimize the architecture design and guide the later testing. Compared with traditional models using test data, structural models are often difficult to be applied due to lack of actual data. A software metrics-based method is presented here for empirical studies. The recurrent neural network (RNN) is used to process the metric data to identify defeat-prone code blocks, and a specified aggregation scheme is used to calculate the module reliability. Based on this, a framework is proposed to evaluate overall reliability for actual projects, in which algebraic tools are introduced to build the structural reliability model automatically and accurately. Studies in two open-source projects show that early evaluation results based on this framework are effective and the related methods have good applicability.
Future enhancements and propensities in forthcoming communication system – 5G Network Technology

Network technology and mobile technologies are two essential and booming technologies in today’s scenario that have emerged and quickly evaluated in terms of hardware, communication media, and architecture. Based on the communication system there are massive developments in underlying devices with hardware, software, and entire architecture. All we experienced with 2G, 3G, and 4G communication system, and in the future, we will going to experience next-generation communication system 5G. In underlying technology there have been many improvements and advances, mainly with data transfer speed and unlimited bandwidth that we have never experienced before. Not only is this technology limited to voice and data, but we also expect some IoT revolutions, a system for mobile communication, automated vehicles, industrial and manufacturing automation, human-machine interface, logistics and warehousing, etc. So this 5G technology gives the opportunity for researchers to perform research in related technologies. Here we analyzed the need, concept, service and features of fifth generation communication technologies in this paper. It was proposed the core technology incorporated with 5G and their architecture. Future trends and applications influenced by the 5G communication system were analysed.
Mapping U.S. Multinationals' Global AI R&D Activity

Many factors influence where U.S. tech multinational corporations decide to conduct their global artificial intelligence research and development (R&D). Company AI labs are spread all over the world, especially in North America, Europe and Asia. But in contrast to AI labs, most company AI staff remain concentrated in the United States. Roxanne Heston and Remco Zwetsloot explain where these companies conduct AI R&D, why they select particular locations, and how they establish their presence there. The report is accompanied by a new open-source dataset of more than 60 AI R&D labs run by these companies worldwide.
Critical Thinking Skills through Industrial Revolution 4.0 for Vocational Education

ABSTRACT Research is presented to map State Vocational High School (SMKN) in Boyolali based on Higher Order Thinking Skills (HOTS) owned by students. HOTS is indispensable in facing critical thinking skills in the 21st century. The research used uses a qualitative type of survey approach. Students in vocational schools are given cognitive questions oriented to HOTS which refers to Bloom's taxonomy, in the form of evaluating, analyzing, and creating. Questions are presented in multiple choice forms and have been validated with the questmaster program. The results showed that HOTS owned by students in Boyolali Vocational High School was still relatively low, ie 36% at SMKN 1 Kle g o, 37% in SMKN Nogosari, and 41% in students at SMKN 1 Klego .
Escuta clínica em um ambulatório de genética: uma experiência extensiva

This work seeks to report an extension practice in a University Hospital that had the objective to expand the care actions concerning people with birth defects in the Brazil’s Unified Health System (SUS). Therefore, it presents the psychology student’s experience in a genetic ambulatory, associating the clinical listening to the medical practice. This article also discusses the importance of the extension practice in attention to people with birth defects, through the emerging dialogue between medical practice and the clinical listening. The results set out the challenges faced by the students and the extension practice effects in a genetic service: an effective speaking and listening space; the genetical conditions complexity; the continuity of psychological support issue; and the implications in Psychology formation. Is stands out, lastly, the relevance of theoretical-clinical reflections concerning a first clinical listening experience double-sided: such as a therapeutic disposal and as a formative one.
The Mediating Role of Career Satisfaction in the Relationship Between Perceived Organizational Support and Life Satisfaction in Millennials

This study aimed to examine the mediating role of career satisfaction in the relationship between perceived organizational support (POS) and life satisfaction. This quantitative research study used the Satisfaction with Life Scale to measure life satisfaction, the short version of the Survey of Perceived Organizational Support to measure POS, and the Career Satisfaction Scale to measure career satisfaction. This study was conducted on employees who are part of the millennial generation (N = 107), which includes individuals aged 24-38 years old, and who had been working for a minimum of six months. The mediation analysis identified an insignificant direct effect (B = .03, SE = .12, p > .71) and a significant indirect effect (B = .10, SE = .07, BCa CI [.03,.20]), with a medium effect size (k = .13, BCa CI [.04,.24]). These results indicate that career satisfaction mediated the relationship between POS and life satisfaction. Therefore, companies should provide support that helps employees maintain their career satisfaction and feel satisfied with their lives.
Can Western Church Influence Explain Western Individualism? Comment on “The Church, Intensive Kinship, and Global Psychological Variation” by Jonathan F. Schulz et al.

In a recent contribution “The Church, Intensive Kinship, and Global Psychological Variation”, Schulz, Bahrami-Rad, Beauchamp & Henrich (2019) propose a central role for the medieval Church in the development of European individualism, primarily by its antagonism toward endogamy and the discouragement of the intensive kinship structures characteristic of other historical civilizations. This contrasts with my recently published book Individualism and the Western Liberal Tradition: Evolutionary Origins, History, and Prospects for the Future (MacDonald, 2019), which proposes that Western individualism, as expressed in the characteristic European marriage system and in a plethora of other cultural expressions, is ultimately the outcome of selection in the ancestral environments of northern Europe and northern Eurasia more widely. This commentary highlights the historical evidence bearing on these alternative explanations for European exceptionalism. The main conclusion is that European individualism, as expressed in kinship structure and social organization, was firmly established before the advent of Christianity.
Revisión de la biología reproductiva de Pistacia lentiscus (Anacardiaceae): una especie clave Mediterránea en el Antropoceno

Parejo-Farnes, C. , Aparicio, A. , Albaladejo, R.G. 2020. Review of the reproductive ecology of the Mediterranean key species Pistacia lentiscus in the Anthropocene. Ecosistemas 29(3):1992. https://doi.org/10.7818/ECOS.1992 The mastic tree (Pistacia lentiscus L., Anacardiaceae) is one of the most abundant and characteristic shrubs in the Mediterranean basin. Its fruits, drupe type, are the main claim and food source of the wintering frugivores of this region establishing a very important plant-animal interaction, but the past and current change in land use and the little natural cover that remains in the region may endanger this interaction between animals and plant and the future of mastic tree populations. Although there are numerous studies on the reproductive biology of this plant it is necessary to frame this knowledge in a context of habitat fragmentation. Extreme anthropogenic pressure can physically isolate the fragments and restrict safe microhabitats within forests for seeds to grow. By increasing the isolation, not only is the pollen cloud available to female plants less diverse, but also the abundance of dispersers is lower modifying the final destination of the seeds. Population bottlenecks are frequent in the populations of adult plants, but the effect of genetic structuring is not as evident as in other Mediterranean shrub species. This paper reviews existing knowledge on reproductive biology of P. lentiscus in the current context of global change and human impact on the landscape, in order to predict possible future scenarios and ensure the viability of this species.