Miracle-dz/UniFAR-FTUs huggingface dataset:
MOOCS Y SPOCS (SMALL PRIVATE ONLINE COURSES): SUS POSIBILIDADES PARA LA FORMACIÓN DEL PROFESORADO MOOC's and SPOC's (Small Private Online Courses): possibilities for teacher education

The main goal of this article is to highlight the benefit of implementing Massive Online Open Courses (MOOCs) in the context of teacher training programs. The article analyzes the design of a “Small Private Online Course” (SPOC). The SPOC takes as starting point the MOOC “ICT for teaching and lerning” and offered it to a reduced group, providing them with tutoring and support materials. The MOOC course chosen was jointly designed by professors from the UNED and the Polytechnic University of Cartagena. So far, there have been three editions of this course. Two of them were offered in the UNED-COMA platform and the third in the MiriadaX platform. These three editions jointly exceeded 12,700 participants enrolled, of whom only 9.9% obtained a certificate. This MOOC served as basis for the development of a SPOC. The course was offered to professors from the Faculty of Medicine of the University of El Salvador. The professors enrolled in the SPOC benefited from three main areas that characterize blended-learning systems: independent generation of
Nonlinear Network Speech Recognition Structure in a Deep Learning Algorithm

As a result of the fast rise of globalization, people in China are learning English at a rapid pace. However, there is a severe shortage of English teachers in the region, which is a major hindrance. To address these concerns, a deep learning-based algorithm is proposed that can not only check English pronunciation but also help learners distinguish between phonemic and quality phonemic while listening and differentiating, as well as correct phonemic errors, thereby increasing their language learning capacity. In order to study the application of nonlinear network identification technology in English learning, this paper evaluates the English pronunciation quality through the deep learning algorithm of deep learning combined with the related contents of neural network data model, and the experimental results of speech recognition structure are analyzed and discussed in detail. The concordance between machine and manual intonation evaluation is 80%, the concordance rate of adjacent intonation evaluation is 98.33%, and the Pearson correlation coefficient is 0.627 that shows the technique is reliable. The method of English pronunciation and speech identification model is sensible and dependable, which can give beginners a punctual, exact and impartial judgment and response guidance, assist learners to get on the differences between their phonemic and standard phonemic, and correct phonemic mistakes, in order to enhance the ability of oral English learning.
Food Recommendations for Reducing Water Footprint

Most existing food-related research efforts focus on recipe retrieval, user preference-based food recommendation, kitchen assistance, or nutritional and caloric estimation of dishes, ignoring personalized and conscious food recommendations resources of the planet. Therefore, in this work, we present a personalized food recommendation scheme, mapping the ingredients to the most resource-friendly dishes on the planet and in particular, selecting recipes that contain ingredients that consume as little water as possible for their production. The system proposed here is able to understand the user’s behavior and to suggest tailor-made recipes with lower water quantity used in production. By continuously using the system, the user can gradually reduce their water footprint and benefit from a healthier diet. The proposed recommendation system was compared with the results of two papers available in the literature that represent the state of the art, obtaining similar results. Therefore, the results of the presented recommendation system can be considered reliable.
Metabolic Diversity of Flavonoids and Antioxidant Potential for Characterization of Underutilized Citrus Species for Nutritional Security

Citrus fruits are grown commercially throughout the world. They are widely consumed due to their nutrients, use in energy supplements, and numerous health benefits. There is significant interest among consumers about this naturally available source, rich in flavonoids and antioxidants. However, underutilized citrus varieties remain unexplored due to the lack of information about the pool of nutritive properties they confer. Ten underutilized citrus varieties were collected from Nokrek Biosphere Reserve, West Garo Hills, Meghalaya, India, identified by UNESCO as a Biosphere reserve, to study the diversity in terms of limonin, ascorbic acid, carotenoids, browning, flavonoids, total phenol, and antioxidant activity, the contents of which varied significantly among different citrus cultivars. The results indicated that Citron and Pomelo were good sources of ascorbic acid (29.50 and 45.09 mg/100 mL), and that Khasi papeda was found to contain lower limonin content (9.21 ppm). However, in terms of flavonoids, Khasi papeda and Pomelo were found to exhibit a higher naringin content (189.13 ppm and 32.15 ppm), whereas the hesperidin content was highest in Kachai lemon, Khasi papeda, and Chinotto, at 199.51 ppm, 148.04 ppm, and 135.88 ppm, respectively. Antioxidant activity was assessed by three antioxidant assays (ABTS+ (radical cation azino-bis [3-ethylbenzthiazoline-6-sulfonic acid]) (ABTS), 2,2-diphenyl-1-picrylhydrazyl radical (DPPH), and Ferric Reducing Antioxidant Power (FRAP)). Khasi papeda (7.48 mM L−1 Trolox), Chinotto (7.48 mM L−1 Trolox), and Pomelo (7.48 mM L−1 Trolox) exhibited the highest reducing power with DPPH radical scavenging activity, and Khasi papeda (15.41 mg GAE L−1) possessed a higher phenolic content, whereas the antioxidant activity when assessed with ABTS and FRAP assays was highest among the underutilized species of Khasi papeda (4.84 mM L−1 Trolox, 1.93 mM L−1 Trolox) and Ada Jamir (4.96 mM L−1 Trolox, 2.03 mM L−1 Trolox), respectively. To the best of our knowledge, this is among the very few papers presenting comprehensive data on the metabolic diversity of flavonoids and antioxidant potential to characterize the underutilized citrus species. This study also demonstrated that Khasi papeda, Pomelo, Chinotto, and Kachai lemon can serve as potential sources of functional components, bioactive compounds, and antioxidants, which can be explored for further application in the processing industry for nutritional security.
Antimicrobial Resistance in Escherichia coli from the Broiler Farm Environment, with Detection of SHV-12-Producing Isolates

Antimicrobial resistance is an important One Health challenge that encompasses the human, animal, and environmental fields. A total of 111 Escherichia coli isolates previously recovered from manure (n = 57) and indoor air (n = 54) samples from a broiler farm were analyzed to determine their phenotypes and genotypes of antimicrobial resistance and integron characterization; in addition, plasmid replicon analysis and molecular typing were performed in extended-spectrum-beta-lactamase (ESBL) producer isolates. A multidrug-resistance phenotype was detected in 46.8% of the isolates, and the highest rates of resistance were found for ampicillin, trimethoprim–sulfamethoxazole, and tetracycline (>40%); moreover, 15 isolates (13.5%) showed susceptibility to all tested antibiotics. None of the isolates showed imipenem and/or cefoxitin resistance. Twenty-three of the one hundred and eleven E. coli isolates (20.7%) were ESBL producers and carried the blaSHV-12 gene; one of these isolates was recovered from the air, and the remaining 22 were from manure samples. Most of ESBL-positive isolates carried the cmlA (n = 23), tet(A) (n = 19), and aac(6′)-Ib-cr (n = 11) genes. The following genetic lineages were identified among the ESBL-producing isolates (sequence type-phylogroup-clonotype): ST770-E-CH116–552 (n = 12), ST117-B2-CH45–97 (n = 4), ST68-E-CH26–382/49 (n = 3), ST68-E-CH26–49 (n = 1), and ST10992-A/B1-CH11–23/41/580 (n = 4); the latter two were detected for the first time in the poultry sector. At least two plasmid replicon types were detected in the ESBL-producing E. coli isolates, with IncF, IncF1B, IncK, and IncHI1 being the most frequently found. The following antimicrobial resistance genes were identified among the non-ESBL-producing isolates (number of isolates): blaTEM (58), aac(6′)-Ib-cr (6), qnrS (2), aac(3)-II (2), cmlA (6), tet(A)/tet(B) (22), and sul1/2/3 (51). Four different gene-cassette arrays were detected in the variable region of class 1 (dfrA1-aadA1, dfrA12-aadA2, and dfrA12-orf-aadA2-cmlA) and class 2 integrons (sat2-aadA1-orfX). This work reveals the worrying presence of antimicrobial-resistant E. coli in the broiler farm environment, with ESBL-producing isolates of SHV-12 type being extensively disseminated.
Design of Interactive Cultural Brand Marketing System based on Cloud Service Platform

Changes in the marketing environment and consumer behavior are the driving force for the development of online marketing. Although traditional marketing communication still exists, it has been unable to adapt to the marketing needs of modern cultural brands. On this basis, this paper combines the cloud service platform to design an interactive cultural brand marketing system. In view of the problems of improper task scheduling and resource waste in cloud platform resource scheduling in actual situations, a dynamic resource scheduling optimization model under the cloud platform environment is established, and fuzzy evaluation rules are designed. Moreover, through problem analysis, based on the reinforcement learning algorithm, this paper proposes a deep reinforcement learning resource scheduling algorithm based on tabu search, and combines the algorithm to design the functional module of the marketing system. On this basis, this paper designs an experiment to verify the performance of this interactive cultural brand marketing system. The research results prove that the marketing system constructed in this paper has certain reliability.
Study of the Hydraulic Control System of the Rotary Workbench Based on PLC

The rotary workbench is one of the main parts of NC machine,it's balance control has the important effect on working accuracy and quality of the workpiece.The rotary workbench of TK6915 NC boring and milling machine is taken as an example,designed the system of hydraulic control through PLC.It can improve the problem which exists in the balance control of the rotary workbench.
The Capacity of Battery-Electric and Plug-in Hybrid Electric Vehicles to Mitigate CO2 Emissions: Macroeconomic Evidence from European Union Countries

The decarbonisation of the transportation sector is crucial to reducing carbon dioxide (CO2) emissions. This study analyses evidence from European countries regarding achievement of the European Commission’s goal of achieving carbon neutrality by 2050. Using panel quantile econometric techniques, the impact of battery-electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) on CO2 emissions in twenty-nine European Union (EU) countries from 2010–2020 was researched. The results show that BEVs and PHEVs are capable of mitigating CO2 emissions. However, each type of technology has a different degree of impact, with BEVs being more suited to minimizing CO2 emissions than PHEVs. We also found a statistically significant impact of economic development (quantile regression results) and energy consumption in increasing the emissions of CO2 in the EU countries in model estimates for both BEVs and PHEVs. It should be noted that BEVs face challenges, such as the scarcity of minerals for the production of batteries and the increased demand for mineral batteries, which have significant environmental impacts. Therefore, policymakers should adopt environmentally efficient transport that uses clean energy, such as EVs, to reduce the harmful effects on public health and the environment caused by the indiscriminate use of fossil fuels.
Investigation of Phase Transitions in Ferromagnetic Nanofilms on a Non-Magnetic Substrate by Computer Simulation

Magnetic properties of ferromagnetic nanofilms on non-magnetic substrate are examined by computer simulation. The substrate influence is modeled using the two-dimensional Frenkel-Kontorova potential. The film has a cubic crystal lattice. Cases of different ratio for substrate period and ferromagnetic film period are considered. The difference in film and substrate periods results in film deformations. These deformations result in a change in the magnetic properties of the film. The Ising model and the Metropolis algorithm are used for the study of magnetic properties. The dependence of Curie temperature on film thickness and substrate potential parameters is calculated. Cases of different values for the coverage factor are considered. The deformation of the film layers is reduced away from the substrate when it is compressed or stretched. The Curie temperature increases when the substrate is compressed and decreases when the substrate is stretched. This pattern is performed for films with different thicknesses. If the coating coefficient for the film is different from one, periodic structures with an increased or reduced concentration of atoms are formed in the film first layer. These structures are absent in higher layers.
Optimisation of PLA Filament Consumption for 3D Printing Using the Annealing Method in Home Environment

The idea for this paper came with the outbreak of the Covid-19 pandemic when almost all countries started experiencing shortages of different, previously abundant, materials. As with all other communities, these shortages prompted the 3D printing community to become more involved in the global fight against the Covid-19. This fight was further facilitated by a large number of world-famous companies which provided their 3D models of protective masks, visors, and other aids to medical staff free of charge together with the recommended parameters and open-source files used for their printing. The idea of these companies was to support their countries by providing protective equipment for everyone who sorely needed it, especially at the beginning of the pandemic, but this mass 3D printing led to a shortage of 3D printing filaments. One of the main ideas behind this paper is to show that this problem can be drastically reduced by optimising filament consumption when printing those models. One way of doing this is strengthening the printed element by annealing it, which is the topic of this paper. By strengthening it afterwards, one could reduce filament consumption by reducing the infill percentage in the G code creation procedure. For this research, we opted for a polylactide acid (PLA) filament, because it is the most widely used 3D printing material. By varying its annealing temperature and time, and testing it, the results gave us an optimal procedure for strengthening the PLA prints, as well as an optimal solution for consumption reduction that would be the most suitable during material shortages. These results could be of great significance if applied globally.
Transitioning to Emergency Online University Education: An Analysis of Key Factors

Restrictions and lockdown measures implemented in response to the Covid-19 pandemic exerted unprecedented pressure on higher education institutions to switch to online-only teaching. This transition was characterised by swift implementation of policy, and the adoption of a wide range of information technologies at extraordinary speed and scale. Our aim was to explore which factors contributed to a successful switch and to what extent. We collected data from university students related to their experience with the deployment of emergency remote teaching. Using a framework of Person, Artefact, and Task factors as indicators, we conducted a hierarchical logistic regression analysis to predict problem-free transition to online-only university education. Transparency of tasks and difficulties with practicals emerged as the most important predictors, among factors related to IT equipment (availability, experience, and attitude), and teachers' availability to communicate with students. We present an impact-prevalence analysis of the predictors to provide guidance for managerial decision-making and prioritisation for future intervention and research. The findings are used to provide an evaluative reflection of the transition, and to promote improvement and planning. Knowledge generated within the pandemic context is especially valuable for future contingencies, such as natural emergencies and disasters, times of conflict, and other unforeseen events. © 2022 Eskisehir Osmangazi University. All rights reserved.
An Improved Gated System that Combines the Techniques of the Internet of Things for Community Security

Residential security is important in today’s society. As Taiwan will soon enter a super-aged society, there will be manpower shortages and scheduling problems in the dispatched resident guard service. Hence, how to develop a new security method and business model that uses the techniques of the Internet of Things to improve resident security is a top priority. In addition, in response to the severe global COVID-19 epidemic, residents’ access to and from residential areas shall be strictly controlled, such as body temperature records and access records, in order to enhance epidemic prevention within communities. Therefore, this paper proposes an improved gated system that combines the techniques of the Internet of Things (IoT) to ensure community security. In terms of access control, a facial recognition system is designed, which integrates with the functions of body temperature measurement, RFID, and QR codes. The QR code function is mainly used to allow guests to enter residential areas. Regarding the COVID-19 epidemic, the information recorded by the system can help to effectively control the contact history and body temperature of community residents. The advantages of this paper, including practicality, residential security, and integration, are explained in the experimental section.
Evaluating Family Medicine Resident Narrative Comments Using the RIME Scheme

Background In 2013, the Accreditation Council on Graduate Medical Education (ACGME) launched the Next Accreditation System, which required explicit documentation of trainee competence in six domains. To document narrative comments, the University of North Carolina Family Medicine Residency Program developed a mobile application to document real time observations. Objective The objective of this work was to assess if the Reporter, Interpreter, Manager, Expert (RIME) framework could be applied to the narrative comments in order to convey a degree of competency. Methods From August to December 2020, 7 individuals analyzed narrative comments of four family medicine residents. The narrative comments were collected from July to December 2019. Each individual applied the RIME framework to the comments and the team met to discuss. Comments where 5/7 individuals agreed were not further discussed. All other comments were discussed until consensus was achieved. Results 102 unique comments were assessed. Of those comments, 25 (25.5%) met threshold for assessor agreement after independent review. Group discussion about discrepancies led to consensus about the appropriate classification for 92 (90.2%). General comments on performance were difficult to fit into the RIME framework. Conclusions Application of the RIME framework to narrative comments may add insight into trainee progress. Further faculty development is needed to ensure comments have discrete elements needed to apply the RIME framework and contribute to overall evaluation of competence.
Geometric Habits of Mind: The Meaning of Quadrilaterals for Elementary School Student Teachers

ARTICLE INFO The primary purpose of this study is to determine the geometric habits of mind of classroom teacher candidates and the level of these habits. The study was conducted with 55 elementary education program students studying at an education faculty in the 2017-2018 spring term. The criterion used in the determination of the study group is that the teacher candidates should have knowledge about almost all the courses in the classroom education program and have taken courses I and II in mathematics teaching. Three worksheets were distributed to the teacher candidates as a data collection tool. Since the research is like a case study, the mathematical ideas developed by the teacher candidates about quadrilaterals and their written answers were summarized and interpreted according to the predetermined themes. When the findings obtained as a result of the research are examined in general, it can be said that teacher candidates are not sufficient in finding relationships between quadrilaterals, generalizing the relationships they find by using strategies, associating the feature valid for a quadrilateral with quadrilaterals that may have that feature, namely the whole, and making judgments.
Impact of Myeloid p38α/MAPK on Orthodontic Tooth Movement

Objectives: Myeloid p38α/MAPK regulate and coordinate osteoclastogenesis. The present study was conducted to investigate the role of myeloid p38α/MAPK during orthodontic tooth movement. Methods: Orthodontic tooth movement was performed in wildtype and p38αΔmyel mice lacking p38α/MAPK expression in myeloid cells. First, bone parameter as well as osteoblast and osteoclast number were determined in tibiae. RNA was isolated from the untreated and orthodontically treated maxillary jaw side and expression of genes involved in inflammation and bone remodelling were analysed. Finally, periodontal bone loss, alveolar bone density and extent of orthodontic tooth movement were assessed. Results: Bone density was increased in p38αΔmyel mice compared to wildtype mice in tibiae (p = 0.043) and alveolar bone (p = 0.003). This was accompanied by a reduced osteoclast number in tibiae (p = 0.005) and TRAP5b in serum (p = 0.015). Accordingly, expression of osteoclast-specific genes was reduced in p38αΔmyel mice. Extent of tooth movement was reduced in p38αΔmyel mice (p = 0.024). This may be due to the higher bone density of the p38αΔmyel mice. Conclusions: Myeloid p38α/MAPK thus appears to play a regulatory role during orthodontic tooth movement by regulating osteoclastogenesis.
Modulation of Notch Signaling Pathway by Bioactive Dietary Agents

Notch signaling is often aberrantly activated in solid and hematological cancers and regulates cell fate decisions and the maintenance of cancer stem cells. In addition, increased expression of Notch pathway components is clinically associated with poorer prognosis in several types of cancer. Targeting Notch may have chemopreventive and anti-cancer effects, leading to reduced disease incidence and improved survival. While therapeutic agents are currently in development to achieve this goal, several researchers have turned their attention to dietary and natural agents for targeting Notch signaling. Given their natural abundance from food sources, the use of diet-derived agents to target Notch signaling offers the potential advantage of low toxicity to normal tissue. In this review, we discuss several dietary agents including curcumin, EGCG, resveratrol, and isothiocyanates, which modulate Notch pathway components in a context-dependent manner. Dietary agents modulate Notch signaling in several types of cancer and concurrently decrease in vitro cell viability and in vivo tumor growth, suggesting a potential role for their clinical use to target Notch pathway components, either alone or in combination with current therapeutic agents.