Miracle-dz/UniFAR-FTUs huggingface dataset:
Integración de robótica educativa de bajo coste en el ámbito de la educación secundaria para fomentar el aprendizaje por proyectos = Low cost educational robotics integration at high school scope to promote project-based learning

To improve traditional system of education/learning it is necessary to introduce in classroom participative and collaborative dynamics and activities, that let the interaction of students on specific projects or activities where the educators change their traditional role by counselor one, while the students have to take a more active role learning though their own effort with specific and concrete goal, with a product as result. This is what promotes project-based learning, and as specific example, the use of Educational Robotics in classroom as interdisciplinary and transversal tool for learning sciences, technology, programming and languages. With the advantages of commercial educational robotic, but a price ten times lower, born EDUROVs project, based on built of underwater robots by secondary school students made from low cost materials using open source software and hardware
Thermal Transport in III-V Semiconductors and Devices

iii ACKNOWLEDGEMENTS I would like to acknowledge the support of my thesis advisor Dr. Samuel Graham. His guidance throughout this project has been tremendous and I have learned much that will benefit for the rest of my life. I would also like to thank Dr. Doolittle and Dr. Russell Dupuis for their knowledge base and their support of this project. Their generous offerings of fabricated devices, lab time, and other resources have helped in bridging the gap from theoretical models to experimental results and therefore a more complete story of heat transport in microelectronics can be told. I would also like to thank Dr. William King and Dr. Siva Gurrum for their help in AFM measurements. A huge thank you to all of my fellow graduate students who provided assistance to me, both large and small, during my work, especially vi LIST OF TABLES Table 1. An outline of the ITRS roadmap and the thermal requirements for the chip system. For comparison a desktop computer would correspond to a " cost-performance " system, a high-end server would correspond to a " high performance " system and a power electronics module would correspond to a " harsh " system. 22 Table 2. Solid state lighting roadmap as proposed by the 2002 Optoelectronics Industry Development Association (OIDA) [23]. For comparison purposes typical values for incandescent and fluorescent light sources are provided. Table 5. A graph of the MOCVD GaN sample wet etched in hot (180 o C) H 3 PO 4 for the specified times. All etch features were ~100nm in diameter and up to 50nm in height and were quickly etched once observed at 11:30. As a consequence of the features being raised it is deduced that this GaN sample had a N-polar terminating Table 7. Samples that were tested with the 3ω method. Samples with more than one material present were characterized simultaneously and then compared to the control sample (in red). Table 8. Outline of the material properties of sapphire used in the model. The sound speeds were calculated from the elastic constants from [99]. The coefficients found when performing the error minimization routine are also shown. The values here are assumed to be independent of frequency and temperature and have therefore been used to extrapolate out to high temperatures. Table 9. Outline of the material properties of ZnO used in the model. The sound speeds were determined from …
Method of feature pyramid and attention enhancement network for pavement crack detection

Abstract. The detection of pavement crack information plays an important role in the service evaluation of infrastructure engineering performance. The randomness of road noise, pollution, and spots make it difficult to ensure the accuracy of traditional image processing algorithms to detect cracks. Therefore, the crack identification technology under complex background conditions is particularly important. We propose a network architecture, named feature pyramid and attention enhancement network (FPAEN) for pavement crack detection. Through a new multiscale feature fusion module, the deep semantic information is integrated into the low-level convolution stage layer by layer, so the context information circulates throughout the whole network. In addition, the attention enhancement mechanism and the multiscale dilated convolution module are used to strengthen the network model’s ability to locate the crack pixels. To evaluate the performance of the proposed approach, we train FPAEN on the DeepCrack dataset and test it on four datasets. Experimental results show that our method outperforms other advanced crack detection approaches in F-score and mean intersection over union.
Using Instagram for Teaching Idioms to Iranian Upper-intermediate EFL Learners

In this study, the efficacy of using Instagram as a smartphone assisting tool on teaching idioms to Iranian upper-intermediate EFL learners was examined. Oxford Placement Test (OPT) was utilized to determine the level of the learner's proficiency. Then, 60 selected participants were divided into two groups namely experimental and control groups. The learners in the experimental group learned idioms through Instagram (pictures, examples, and texts) and the learners in the control group learned them through the traditional method (texts, meaning, and examples). T-test was used to determine the significance of the experimental group improvement in learning idioms compared with the control group. The findings showed that the experimental group learners outperformed the control group learners and the increase in their scores was significant showing that Instagram is a good application for learning idioms. The results of this study might be useful for both EFL students and professors to learn and teach better.
Trauma-informed Care Interventions in Emergency Medicine: A Systematic Review

Introduction Trauma exposure is a highly prevalent experience for patients and clinicians in emergency medicine (EM). Trauma-informed care (TIC) is an effective framework to mitigate the negative health impacts of trauma. This systematic review synthesizes the range of TIC interventions in EM, with a focus on patient and clinician outcomes, and identifies gaps in the current research on implementing TIC. Methods The study was registered with PROSPERO (CRD42020205182). We systematically searched peer-reviewed journals and abstracts in the PubMed, EMBASE (Elsevier), PsycINFO (EBSCO), Social Services Abstract (ProQuest), and CINAHL (EBSCO) databases from 1990 onward on August 12, 2020. We analyzed studies describing explicit TIC interventions in the ED setting using inductive qualitative content analysis to identify recurrent themes and identify unique trauma-informed interventions in each study. Studies not explicitly citing TIC were excluded. Studies were assessed for bias using the Newcastle-Ottawa criteria and Critical Appraisal Skills Programme (CASP) Checklist. Results We identified a total of 1,372 studies and abstracts, with 10 meeting inclusion criteria for final analysis. Themes within TIC interventions that emerged included educational interventions, collaborations with allied health professionals and community organizations, and patient and clinician safety interventions. Educational interventions included lectures, online modules, and standardized patient exercises. Collaborations with community organizations focused on addressing social determinants of health. All interventions suggested a positive impact from TIC on either clinicians or patients, but outcomes data remain limited. Conclusion Trauma-informed care is a nascent field in EM with limited operationalization of TIC approaches. Future studies with patient and clinician outcomes analyzing universal TIC precautions and systems-level interventions are needed.
International Journal of Multidisciplinary Research and Growth Evaluation www.allmultidisciplinaryjournal.com

ISSN (online): 2582-7138 Volume: 03 Issue: 03 May-June 2022 Received: 17-04-2022; Accepted: 03-05-2022 Page No: 226-241 DOI: https://doi.org/10.54660/anfo. 2022.3. 3.15 Abstract The aim of this research is to develop an enhanced reference monitor algorithm for Software Defined Networking (SDN) controller for 5G security. It is anticipated that by 2025, the network infrastructure should be able to provide connectivity for almost everything. This is expected to bring over 50 billion connections which cannot be handled by the current 4G. While 4G networks main focus is ubiquitous mobile broadband, 5G technology characteristics will have to increase immensely. The flexibility provided by software is key to meeting the unforeseen future service requirement. In this regard, Software Defined Networking (SDN) has recently gathered momentum in the networking industry and specific standard is yet to be adopted on how to check security challenges on SDN for 5G. This work proposes to adopt 5-ENSURE framework of integrating Reference Monitor (RM) to SDN controllers in order to impose access control policy. The Study will also isolate and handle malicious packets in a distributed manner among nodes rather than only permitting or denying access based on access policy. This work would contribute in security standardization of SDN for 5G which is currently under study across the world.
Kantian Remorse with and without Self-Retribution

Abstract Kant’s account of the pain of remorse involves a hybrid justification based on self-retribution, but constrained by forward-looking principles which say we must channel remorse into improvement and moderate its pain to avoid damaging our rational agency. Kant’s corpus also offers material for a revisionist but textually grounded alternative account based on wrongdoers’ sympathy for the pain they cause. This account is based on the value of care, and has forward-looking constraints much like Kant’s own account. Drawing on Kant’s texts and recent work in empirical psychology, I argue that sympathetic remorse may fulfil Kant’s forward-looking goals better than self-retributive remorse.
Dimensions of Emotional Intelligence for Supporting Childless Employees in Higher Education Institutions: A Systematic Review

In recent years’ childlessness as a workplace inclusion issue has developed from a taboo topic into an important awareness subject, especially being childless not by choice. This issue has become challenging for employers and leaders not only in business organisations but also in educational institutions. That includes such aspects as to be prepared with how to support employees within different struggle of life and to be aware of discussion and conversation topics. The article presents the systematic literature review on subject of emotional intelligence as an attribute of effective leadership which can be increased into higher education institutions. The aim of the study is to explore main findings of emotional intelligence in the context of effective leadership for supporting childless employees in higher education institutions. Since the context of childlessness and emotional intelligence has not been previously studied, author of this article decided to use the systematic review method including publications which were published in respectable databases(EbscoHost, Scopus, Science Direct, Emerald Publishing, Elsevier, Sage Journals)during the past ten years. The authors' review has helped to identify some of the main findings about models and dimensions of emotional intelligence, importance of emotional intelligence as an attribute of effective leadership in organisations and higher education institutions. Conclusions include future recommendations for higher education institutions and development of leaders and employees about emotional intelligence aspects and future research perspectives about terminology of childlessness and childlessness aspects at workplace. Most important conclusions highlight the necessity to improve work-life programs and policies of organisations including childlessness aspects as a workplace inclusion issue; the importance to study relationship between emotional intelligence of higher education institutions leaders and childlessness aspects in higher education institutions. The significance of the results is due to the fact that this is a completely new topic in management science in Latvia and future research should be carried out.
Turbulent Extreme Event Simulations for Lidar-Assisted Wind Turbine Control

This work presents a wind field generator which allows to shape wind fields in the time domain while maintaining the spectral properties. This is done by an iterative generation of wind fields and by minimizing the error between wind characteristics of the generated wind fields and desired values. The method leads towards realistic ultimate load calculations for lidar-assisted control. This is demonstrated by fitting a turbulent wind field to an Extreme Operating Gust. The wind field is then used to compare a baseline feedback controller alone against a combined feedback and feedforward controller using simulated lidar measurements. The comparison confirms that the lidar-assisted controller is still able to significantly reduce the ultimate loads on the tower base under this more realistic conditions.
The Role of IgG Fc Region N-Glycosylation in the Pathomechanism of Rheumatoid Arthritis

Anti-citrullinated protein antibodies (ACPAs) are involved in the pathogenesis of rheumatoid arthritis. N-glycosylation pattern of ACPA-IgG and healthy IgG Fc differs. The aim of this study is to determine the relative sialylation and galactosylation level of ACPAs and control IgG to assess their capability of inducing TNFα production, and furthermore, to analyze the correlations between the composition of Fc glycans and inflammatory markers in RA. We isolated IgG from sera of healthy volunteers and RA patients, and purified ACPAs on a citrulline-peptide column. Immunocomplexes (IC) were formed by adding an F(ab)2 fragment of anti-human IgG. U937 cells were used to monitor the binding of IC to FcγR and to trigger TNFα release determined by ELISA. To analyze glycan profiles, control IgG and ACPA-IgG were digested with trypsin and the glycosylation patterns of glycopeptides were analyzed by determining site-specific N-glycosylation using nano-UHPLC-MS/MS. We found that both sialylation and galactosylation levels of ACPA-IgG negatively correlate with inflammation-related parameters such as CRP, ESR, and RF. Functional assays show that dimerized ACPA-IgG significantly enhances TNFα release in an FcγRI-dependent manner, whereas healthy IgG does not. TNFα production inversely correlates with the relative intensities of the G0 glycoform, which lacks galactose and terminal sialic acid moieties.
EPGQ: Efficient and Private Feature-Based Group Nearest Neighbor Query Over Road Networks

The rapidly growing location-based services enable service providers to accumulate plentiful descriptions on points of interest (POIs), which can be used to support expressive POI queries. In this article, we study a type of POI query, named feature-based group $k$ nearest neighbor query over road networks, in which a user has a feature set and several locations and wishes to find $k$ closest POIs that have similar sets of features to the query. As the POI data sets grow, service providers tend to outsource their data sets to a powerful yet not-fully trusted cloud, which calls for privacy preservation on data sets and user queries. Although many schemes have been proposed for privacy-preserving POI queries, none of them can simultaneously support privacy-preserving set similarity and road network distance comparison. To address this challenge, we propose an efficient and private feature-based group nearest neighbor query scheme. In our scheme, we achieve privacy-preserving distance comparison by employing the road network hypercube embedding technique, and design an encrypted index based on B+-tree for privacy-preserving set similarity range queries. Security analysis shows our proposed scheme can preserve the privacy of the data set and queries, and performance evaluation also demonstrates it is computationally efficient.
Enterovirus Type 71-Related Brainstem Encephalitis: A Case Report and Literature Review

Enterovirus type 71 (EV71) infections are mainly found in infants. The severe cases are characterised by nervous system damage, acute circulatory and respiratory failures. So far, there has been no report of EV71 infection involving central nervous system in teenagers or young adults. We first reported a case of 15-year-old Han Chinese male who was infected by EV71, developed neurogenic pulmonary oedema rapidly, and had the risk factors including hyperglycaemia, significant leukocytosis and acute flaccid paralysis. The nucleic acids for EV71 were positive by Reverse transcriptase polymerase chain reaction (RT-PCR). The patient didn't belong to high risk population. Maculopapular rashes and blisters were also not found in hand, foot and mouth. These might be responsible for the failure to make an early diagnosis. (Hong Kong j.emerg.med. 2014;21:176-180)
Influence of 40 Hz and 100 Hz Vibration on SH-SY5Y Cells Growth and Differentiation—A Preliminary Study

(1) Background: A novel bioreactor platform of neuronal cell cultures using low-magnitude, low-frequency (LMLF) vibrational stimulation was designed to discover vibration influence and mimic the dynamic environment of the in vivo state. To better understand the impact of 40 Hz and 100 Hz vibration on cell differentiation, we join biotechnology and advanced medical technology to design the nano-vibration system. The influence of vibration on the development of nervous tissue on the selected cell line SH-SY5Y (experimental research model in Alzheimer’s and Parkinson’s) was investigated. (2) Methods: The vibration stimulation of cell differentiation and elongation of their neuritis were monitored. We measured how vibrations affect the morphology and differentiation of nerve cells in vitro. (3) Results: The highest average length of neurites was observed in response to the 40 Hz vibration on the collagen surface in the differentiating medium, but cells response did not increase with vibration frequency. Also, vibrations at a frequency of 40 Hz or 100 Hz did not affect the average density of neurites. 100 Hz vibration increased the neurites density significantly with time for cultures on collagen and non-collagen surfaces. The exposure of neuronal cells to 40 Hz and 100 Hz vibration enhanced cell differentiation. The 40 Hz vibration has the best impact on neuronal-like cell growth and differentiation. (4) Conclusions: The data demonstrated that exposure to neuronal cells to 40 Hz and 100 Hz vibration enhanced cell differentiation and proliferation. This positive impact of vibration can be used in tissue engineering and regenerative medicine. It is planned to optimize the processes and study its molecular mechanisms concerning carrying out the research.
Robust Cadence and Power Tracking on a Switched FES Cycle With an Unknown Electromechanical Delay

Functional electrical stimulation (FES) is commonly used to facilitate cycling tasks for people with lower-limb movement disorders. In this work, FES and motor controllers are designed to track a desired power and cadence, respectively, and a Lyapunov-based switched systems analysis is performed to guarantee uniformly ultimately bounded power tracking and global exponential cadence tracking for a switched, delayed, nonlinear, and uncertain FES-cycling system. A unique challenge in this problem is that there is an unknown time-varying input delay to produce force, and a different unknown time-varying residual input delay where force is still produced after stimulation is removed. These delays impact the dwell-time conditions that dictate stimulation timing, and if not properly accounted for can lead to undesired effects such as antagonistic muscles exerting force at the same time or potential instabilities. The proposed controllers were validated by experimental analysis of four participants with neurological conditions (NCs) and five able-bodied participants, and yielded average power and cadence tracking errors of 0.01 ± 0.09 W and −0.05 ± 0.65 revolutions per minute (RPM), respectively, for the able-bodied participants and 0.01 ± 1.11 W and −0.07 ± 1.17 RPM, respectively, for the participants with NCs.
Les principaux enseignements du 6e rapport du groupe I du GIEC

Le groupe I du GIEC (Groupe d’experts intergouvernemental sur l’évolution du climat) a publié, en août 2021, son 6e rapport sur les bases scientifiques du changement climatique. Ce rapport réaffirme le fait que l’origine humaine des changements climatiques observés depuis la deuxième moitié du XIXe siècle est sans équivoque, qu’il s’agisse du réchauffement mondial (+ 1,1°C), du recul des neiges et des glaces, de l’acidification des océans ou de la hausse du niveau marin. L’une des avancées majeures du rapport est de mettre en évidence l’influence humaine sur l’intensité et la fréquence de phénomènes extrêmes tels que les vagues de chaleur ou les fortes pluies. Les évolutions observées du climat vont se poursuivre – il est notamment acquis que la température du globe atteindra le seuil de 1,5°C d’ici à vingt ans –, mais elles peuvent encore être contenues si des actions fortes, rapides et durables de réduction des émissions de CO2 sont menées.
15N as a marker for effed efficiency in beef cattle

Line 38. Specify which percentage does “extreme animals” refer to [AU]: Sorry but this specification was already shown in the first version “the top 20% highest and lowest animals within-CG in terms of RFI and FCE (extreme animals)” Introduction Line 70. Suggest “ranking individual animals” [AU]: Done Line 77. I think there is a leap in the explanation regarding feed sorting. Consider expanding with one or two sentences to clarify the point [AU]: Done, thank you. Materials and Methods Lines 119-120. Did the authors try running the analyses both with and without Study #8, as 15N abundance was not measured in plasma urea but in muscle? [AU]: In a previous experiment from our team (Nasrollahi et al.2020) we obtained similar relationships between Δ15N and feed efficiency regardless the isotopic analysis was conducted on plasma or muscle. We did not try to remove study ID#8 because we consider that all animal proteins once the isotopic equilibrium is reached has similar isotopic signatures (excepting the case of hair where no turnover exist). We have added in L178-181 the following statement to justify it: According to previous results from our team (Nasrollahi et al., 2020) and to allow sufficient time to reach an isotopic equilibrium, Δ15Nanimal-diet
Reducing Range Anxiety by Unifying Networks of Charging Stations

Availability of charging infrastructure is an important factor in penetration of electric vehicles into daily transportation system. Several factors in electric vehicle industry have caused range anxiety including insufficient charging stations, limited range of electric vehicles, long charging time, inaccurate estimation of available range, and energy consumption of auxiliary in-vehicle devices. However less attention has been paid to universality in charging station networks. This paper reviews the solutions to range anxiety. With regards to availability of charging station as one of the solutions, accessibility of charging stations by electric vehicle owners is also represented as another cause of range anxiety and a possible solution is provided.