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Business Intelligence for Teaching Analytics: A Case Study
No full textIn recent years, there has been a radical change in the world of teaching and training. This is causing numerous schools, universities and companies to adopt the most modern Information and Communication Technologies, mainly based on the Web, for distance education. Moreover, the widespread use of web-based environments is producing a considerable volume of data which could be used to monitor the learning processes to improve them. While Educational Data Mining analyzes this data from a technical point of view, Learning Analytics focuses on educational aspects to optimize online learning opportunities, involving all the stakeholders. In this paper, we present a case study concerning the analysis of data generated by a learning process, in a Learning Management System (LMS). The main goal is to test a particular Business Intelligence platform, the Knime platform, to extract hidden significant educational features from data. The case study strengthens our approach, with interesting pedagogical results.n
Covid-19 in management studies: A systematic literature review
No full textIn 2020, the whole world had to face a pandemic with inevitable profound changes in all aspects of life, from the social to the economic sphere. The profound economic crisis that followed the rise of the pandemic has pushed firms and researchers to question the necessary changes and new challenges for the survival of businesses. In this scenario, the aim of the paper is to analyze and classify the main contributions published on the topic of COVID-19 in managerial literature, seeking to discover the perspective and the gaps and outline future avenues of research. A systematic review of the literature has been performed. The results highlight the orientation of studies in this field and the various links between different aspects that emerged. Limitations and implications complete the research
Monochromic Radiations Provided by Light Emitted Diode (LED) Modulate Infection and Defense Response to Fire Blight in Pear Trees
No full textPathogenesis-related (PR) proteins are part of the systemic signaling network that perceives pathogens and activates defenses in the plant. Eukaryotic and bacterial species have a 24-h 'body clock' known as the circadian rhythm. This rhythm regulates an organism's life, modulating the activity of the phytochromes (phys) and cryptochromes (crys) and the accumulation of the corresponding mRNAs, which results in the synchronization of the internal clock and works as zeitgeber molecules. Salicylic acid accumulation is also under light control and upregulates the PR genes expression, increasing plants' resistance to pathogens. Erwinia amylovora causes fire blight disease in pear trees. In this work, four bacterial transcripts (erw1-4), expressed in asymptomatic E. amylovora-infected pear plantlets, were isolated. The research aimed to understand how the circadian clock, light quality, and related photoreceptors regulate PR and erw genes expression using transgenic pear lines overexpressing PHYB and CRY1 as a model system. Plantlets were exposed to different circadian conditions, and continuous monochromic radiations (Blue, Red, and Far-Red) were provided by light-emitting diodes (LED). Results showed a circadian oscillation of PR10 gene expression, while PR1 was expressed without clear evidence of circadian regulation. Bacterial growth was regulated by monochromatic light: the growth of bacteria exposed to Far-Red did not differ from that detected in darkness; instead, it was mildly stimulated under Red, while it was significantly inhibited under Blue. In this regulatory framework, the active form of phytochrome enhances the expression of PR1 five to 15 fold. An ultradian rhythm was observed fitting the zeitgeber role played by CRY1. These results also highlight a regulating role of photoreceptors on the expression of PRs genes in non-infected and infected plantlets, which influenced the expression of erw genes. Data are discussed concerning the regulatory role of photoreceptors during photoperiod and pathogen attacks.8s
Una comunità dentro la storia. Meldola e la Romagna nel Novecento: spazi locali e reti transnazionali (1912-1970)
No full textEditorial: Mining, Designing, Mechanisms and Applications of Extremophilic Enzymes
No full textEnzymes play very important roles in industrial and environmental biotechnology. Their value has increased in recent decades mainly in food and detergent industries and is still growing, particularly in bioremediation (white biotechnology), and in medical, pulp/paper, textile, energy, and biosensor applications (Fernández-Lucas et al., 2017). Recent assessments have evaluated the global enzyme market at more than 10,000 million (Fernández-Lucas et al., 2017; Pasqualetti et al., 2019). Enzyme technologies provide economically viable and eco-friendly alternatives. The number of commercial enzymes continues to increase as we exploit, by traditional or molecular screening/selection methods, the astonishing microbial diversity to obtain new bio-catalysts and expand their range of application (Petruccioli et al., 1993; Xiao et al., 2015; Sysoev et al., 2021). Most extremophilic enzymes (extremozymes) come from microorganisms. Extremozymes remain active and stable in extreme conditions, such as high pH values, high salinity and hydrostatic pressure, and temperature extremes. They often have unique properties empowering them to satisfy the needs of many harsh industrial processes. From a commercial viewpoint, enzymes with high activity and adaptation to diverse extreme conditions show growing demand, since current applications of many existing enzymes are still constrained by activity, stability, and/or economic issues. One solution to this problem is searching for new enzymes from natural sources that show high activity/stability, uncommon specificity, and poly-extremophilic features (thermo/psychrophilic, acid/alkalophilic, and halophilic properties). However, not all extremozymes are isolated from extreme environments. Another winning strategy, which is expected to improve enzyme properties for biotechnological application, is protein engineering (Xiao et al., 2015; Liu et al., 2019). The objective of this Research Topic was to inspect new details in this growing research field, and to obtain a deeper understanding of the area, allowing us to outline its state-of-the-art: by showing enzymes that have high activity and stability in extreme or poly-extreme conditions; understanding their relative adaptation mechanisms; reporting successful mining, designing, characterization, and production of novel extremophilic enzymes also by bioinformatic tools. We cover 15 manuscripts that explore different aspects of this Research Topic.s
Le feste transnazionali. Il ``12 ottobre'' degli Italiani nelle comunit{\`a} di emigrazione
No full textWhy do banks react differently to short-selling bans? Evidence from the Asia-Pacific area and the United States
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Elite Food Between the Late Middle Ages and Renaissance: Some Case Studies from Latium
No full text© Association for Environmental Archaeology 2021. The study of plant and animal remains from archaeological sites provides important evidence about past human diets and habits: this includes species selection, food preparation, consumption and disposal practices. Furthermore, such information may also provide inferences about social status. Data from refuse disposal features identified in some elite contexts in central Italy–a high-status residence in Celleno Vecchio (Viterbo) and the Baglioni-Santacroce castle in Graffignano (Viterbo), both in northern Latium, as well as the Santi Quattro Coronati ecclesiastical complex in Rome–allow to explore, using archaeobotanical, archaeozoological and genetic data, some of the different ways in which people expressed wealth by means of food during a period between the late Middle Ages and Renaissance.n
Spatio-temporal Variation of the Bacterial Communities Along a Salinity Gradient within a Thalassohaline Environment (Saline di Tarquinia salterns, Italy
No full textThe “Saline di Tarquinia” salterns have been scarcely investigated regarding their microbiological aspects. This work studied the structure and composition of their bacterial communities along the salinity gradient (from the nearby sea through different ponds). The communities showed increasing simplification of pond bacterial diversity along the gradient (particularly if compared to those of the sea). Among the 38 assigned phyla, the most represented were Proteobacteria, Actinobacteria and Bacteroidetes. Differently to other marine salterns, where at the highest salinities Bacteroidetes dominated, preponderance of Proteobacteria was observed. At the genus level the most abundant taxa were Pontimonas, Marivita, Spiribacter, Bordetella, GpVII and Lentibacter. The α-diversity analysis showed that the communities were highly uneven, and the Canonical Correspondence Analysis indicated that they were structured by various factors (sampling site, sampling year, salinity, and sampling month). Moreover, the taxa abundance variation in relation to these significant parameters were investigated by Generalized Linear Models. This work represents the first investigation of a marine saltern, carried out by a metabarcoding approach, which permitted a broad vision of the bacterial diversity, covering both a wide temporal span (two years with monthly sampling) and the entire salinity gradient (from the nearby sea up to the crystallisation ponds).