Predicting students' emotions using machine learning techniques

Detecting students' real-time emotions has numerous benefits, such as helping lecturers understand their students' learning behaviour and to address problems like confusion and boredom, which undermine students' engagement. One way to detect students' emotions is through their feedback about a lecture. Detecting students' emotions from their feedback, however, is both demanding and time-consuming. For this purpose, we looked at several models that could be used for detecting emotions from students' feedback by training seven different machine learning techniques using real students' feedback. The models with a single emotion performed better than those with multiple emotions. Overall, the best three models were obtained with the CNB classiffier for three emotions: amused, bored and excitement

Agricultural Academy

Abstract BELLITURK, Korkmaz, Fatma DANISMAN, Bahar SOZUBEK and Fuat YILMAZ, 2009. Ammonium sulfate transformation rate in Turkey soils. Bulg. J. Agric. Sci., The aim of this research conducted in the laboratory, is to determine the effect of ammonium sulfate application applied to twenty soil samples with different physical and chemical properties taken from Tekirdag region of Turkey on total mineral nitrogen and to determine the relations between ammonium sulfate transformation rate and soil properties. In the incubation test, 500 mg kg -1 nitrogen in the form of ammonium sulfate solution has been treated to the soil and left to incubation for 28 days. The rate of transformation of ammonium sulfate in the soil samples taken on the 1 st (D1), 7 th (D7), 14 th (D14) and 28 th (D28) days of the incubation has been determined. A significant correlation has been determined between the nitrogen loss in soil samples and the lime, magnesium and potassium content of the soils. A positive correlation in the level of r=0,457** has been determined between ammonium sulfate transformation rate (ASTR) emerged in the 7 th day of the test and the lime content of the soils. In the 28 th day of the test, also a positive correlation in the level of r=0,338* has been determined between ammonium sulfate transformation rate (ASTR) and magnesium content of the soils while a negative correlation in the level of r=-0,360* has been identified between ammonium sulfate transformation rate (ASTR) and potassium content of the soils. It has not been detected any significant correlation in 1 st and 14 th days of the test

On white-collar boxing and social class

This article is based on the first sociological research of white-collar boxing in the UK. Grounded in an ethnography of a boxing gym in the Midlands, the article argues that the term ‘white-collar boxing’ in this context is immediately misleading, and entails the term being used in a way with which sociologists are unaccustomed. Whereas white-collar boxing originated in the context of post-industrial New York City as a pastime only for the extremely wealthy, the situation in the UK is different. Participants actively reject this understanding of white-collar boxing. The term white-collar boxing does not signify the social class of participants, but refers to their novice status. Given that boxing is an example through which Bourdieu’s theory of distinction is discussed, and that white-collar boxing is a distinctly late-modern version of the sport containing an erroneous class signifier, this version of the sport is a site through which such discussions of consumption can be furthered. Whilst consumed by actors in various class positions, a logic of distinction is present in white-collar boxing, which becomes recognisable through analysis of the ‘plurality of consumption experiences’. This is proffered as a concept which can aid in the analysis of consumption beyond white-collar boxing

Inferring the Regulatory Network of the miRNA-mediated Response to Biotic and Abiotic Stress in Melon

[EN] Background: MiRNAs have emerged as key regulators of stress response in plants, suggesting their potential as candidates for knock-in/out to improve stress tolerance in agricultural crops. Although diverse assays have been performed, systematic and detailed studies of miRNA expression and function during exposure to multiple environments in crops are limited. Results: Here, we present such pioneering analysis in melon plants in response to seven biotic and abiotic stress conditions. Deep-sequencing and computational approaches have identified twenty-four known miRNAs whose expression was significantly altered under at least one stress condition, observing that down-regulation was preponderant. Additionally, miRNA function was characterized by high scale degradome assays and quantitative RNA measurements over the intended target mRNAs, providing mechanistic insight. Clustering analysis provided evidence that eight miRNAs showed a broad response range under the stress conditions analyzed, whereas another eight miRNAs displayed a narrow response range. Transcription factors were predominantly targeted by stressresponsive miRNAs in melon. Furthermore, our results show that the miRNAs that are down-regulated upon stress predominantly have as targets genes that are known to participate in the stress response by the plant, whereas the miRNAs that are up-regulated control genes linked to development. Conclusion: Altogether, this high-resolution analysis of miRNA-target interactions, combining experimental and computational work, Illustrates the close interplay between miRNAs and the response to diverse environmental conditions, in melon.The authors thank Dr. A. Monforte for providing melon seeds and Dra. B. Pico (Cucurbits Group - COMAV) for providing melon seeds and Monosporascus isolate respectively. This work was supported by grants AGL2016-79825-R, BIO2014-61826-EXP (GG), and BFU2015-66894-P (GR) from the Spanish Ministry of Economy and Competitiveness (co-supported by FEDER). The funders had no role in the experiment design, data analysis, decision to publish, or preparation of the manuscript.Sanz-Carbonell, A.; Marques Romero, MC.; Bustamante-González, AJ.; Fares Riaño, MA.; Rodrigo Tarrega, G.; Gomez, GG. (2019). Inferring the Regulatory Network of the miRNA-mediated Response to Biotic and Abiotic Stress in Melon. BMC Plant Biology. 1-17. https://doi.org/10.1186/s12870-019-1679-0S117Zhang B. MicroRNAs: a new target for improving plant tolerance to abiotic stress. J Exp Bot. 2015;66:1749–61.Zhu JK. Abiotic stress signaling and responses in plants. Cell. 2016;167:313–24.Bielach A, Hrtyan M, Tognetti VB. Plants under stress: involvement of auxin and Cytokinin. Int J Mol Sci. 2017;4(18):7.Zarattini M, Forlani G. 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