The Effects of Coworker Relationships, Involvement, and Supportiveness on Job Satisfaction and Performance

Past research has indicated that relationships, involvement, and supportiveness have an effect on job satisfaction and performance. A study was done on Gettysburg College students who have had experience with group work. Sixty-four (29 males, 35 females) Gettysburg College students were used as participants in the study. The study was split fairly evenly between sophomores, juniors, and seniors. To start, the survey included two demographic questions: gender and class year. Participants completed an online survey about the relationships among group mates, group involvement, and group support experience. Questions about the overall satisfaction and performance were also included. A correlational design was used to analyze the data. The results of this study concluded that there was significant association between positive relationships and involvement and job satisfaction and group performance in a group scenario. There was a significant association between group support and job satisfaction, but not performance

SANICLAY-T: simple thermodynamic-based anisotropic plasticity model for clays

In this work the anisotropic model for clays SANICLAY proposed by Dafalias and Taiebat (2013) is reformulated within the framework of hyper-elastoplasticity. The model, called SANICLAY-T, is fully defined by two scalar potential functions, the free energy and the rate of dissipation. It is first presented in the triaxial space and then generalised in the multiaxial one. The model reproduces exactly the original one for the case of associate flow rule, while leads to a different outcome for non-associated flow. When compared to existing hyperplastic models accounting for rotational hardening, the proposed one proves to be more versatile, as characterised by less restrictive constraints on the hardening and asymptotic behaviour of the soil. The predictive capability of the model is illustrated with reference to experimental data on natural and reconstituted clays, highlighting its merits and limitations

Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset

The automatic categorization of crime news is useful to create statistics on the type of crimes occurring in a certain area. This assignment can be treated as a text categorization problem. Several studies have shown that the use of word embeddings improves outcomes in many Natural Language Processing (NLP), including text categorization. The scope of this paper is to explore the use of word embeddings for Italian crime news text categorization. The approach followed is to compare different document pre-processing, Word2Vec models and methods to obtain word embeddings, including the extraction of bigrams and keyphrases. Then, supervised and unsupervised Machine Learning categorization algorithms have been applied and compared. In addition, the imbalance issue of the input dataset has been addressed by using Synthetic Minority Oversampling Technique (SMOTE) to oversample the elements in the minority classes. Experiments conducted on an Italian dataset of 17,500 crime news articles collected from 2011 till 2021 show very promising results. The supervised categorization has proven to be better than the unsupervised categorization, overcoming 80% both in precision and recall, reaching an accuracy of 0.86. Furthermore, lemmatization, bigrams and keyphrase extraction are not so decisive. In the end, the availability of our model on GitHub together with the code we used to extract word embeddings allows replicating our approach to other corpus either in Italian or other languages

University Students' Online Learning During COVID-19: The Role of Grit in Academic Performance

The governmental restriction due to COVID-19 pandemic led to Italian Universities moving teaching from face-to-face, to online. This represented an unexpected transition from traditional learning to what can be considered “e-learning.” This, together with the psychological distress that may be associated with the experience of lockdown, might have affected students' performance. It was hypothesised that grit may be a protective factor in such situations. Indeed, compared to their less “gritty” peers, individuals with higher levels of grit are expected to exhibit greater persistence in the pursuit of goals despite setbacks. Within educational contexts, grit is portrayed as a potentially important influence on outcomes such as achievement level, retention and probability of graduation. A longitudinal study was conducted using an online survey in order to assess the moderated mediation effect of grit on students' achievement. One hundred seventy-six undergraduate students from two universities in the north of Italy participated in the survey. The results showed that grit affects students' grades in final exams; perceived self-efficacy in the management of complex problems had a mediation effect on grades, while psychological distress moderated the first part of the mediation process. These novel findings extended our knowledge regarding the role of grit in academic performance investigating for the first time the role of self-efficacy and psychological distress in a learning carried out entirely online

Semantic traffic sensor data: The TRAFAIR experience

Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city''s future evolution. The TRAFAIR (Understanding Traffic Flows to Improve Air Quality) project seeks to understand how traffic affects urban air quality. The project develops a platform to provide real-time and predicted values on air quality in several cities in Europe, encompassing tasks such as the deployment of low-cost air quality sensors, data collection and integration, modeling and prediction, the publication of open data, and the development of applications for end-users and public administrations. This paper explicitly focuses on the modeling and semantic annotation of traffic data. We present the tools and techniques used in the project and validate our strategies for data modeling and its semantic enrichment over two cities: Modena (Italy) and Zaragoza (Spain). An experimental evaluation shows that our approach to publish Linked Data is effective

The enteric neural crest progressively loses capacity to form enteric nervous system

Cells of the vagal neural crest (NC) form most of the enteric nervous system (ENS) by a colonising wave in the embryonic gut, with high cell proliferation and differentiation. Enteric neuropathies have an ENS deficit and cell replacement has been suggested as therapy. This would be performed post-natally, which raises the question of whether the ENS cell population retains its initial ENS-forming potential with age. We tested this on the avian model in organ culture in vitro (3 days) using recipient aneural chick midgut/hindgut combined with ENS- donor quail midgut or hindgut of ages QE5 to QE10. ENS cells from young donor tissues (<= QE6) avidly colonised the aneural recipient, but this capacity dropped rapidly 2-3 days after the transit of the ENS cell wavefront. This loss in capability was autonomous to the ENS population since a similar decline was observed in ENS cells isolated by HNK1 FACS. Using QE5, 6, 8 and 10 midgut donors and extending the time of assay to 8 days in chorio-allantoic membrane grafts did not produce 'catch up' colonisation. NC-derived cells were counted in dissociated quail embryo gut and in transverse sections of chick embryo gut using NC, neuron and glial marker antibodies. This showed that the decline in ENS-forming ability correlated with a decrease in proportion of ENS cells lacking both neuronal and glial differentiation markers, but there were still large numbers of such cells even at stages with low colonisation ability. Moreover, ENS cells in small numbers from young donors were far superior in colonisation ability to larger numbers of apparently undifferentiated cells from older donors. This suggests that the decline of ENS-forming ability has both quantitative and qualitative aspects. In this case, ENS cells for cell therapies should aim to replicate the embryonic ENS stage rather than using post-natal ENS stem/progenitor cells

Early Development of the Human Pharyngeal Hypophysis--A Preliminary Report

Author Institution: The Ohio State Universit

Beyond electoralism: reflections on anarchy, populism, and the crisis of electoral politics

This paper is comprised of a series of short, conversational or polemical interventions reflecting on the political ‘moment’ that has emerged in the wake of the rise of right-populist politics, particularly in the Global North. We position the UK’s ‘Brexit’ vote and the election of Donald Trump as US President as emblematic of this shift, which has a longer genesis and a wider scale than these events alone. In particular, we draw on anarchist principles and approaches to consider opportunities for re-energising and re-orienting our academic and activist priorities in the wake of these turbulent times. Following a short introductory section, in which we collectively discuss key questions, challenges and tensions, each contributor individually draws from their own research or perspective to explore the possibilities of a politics beyond electoralism

Beyond electoralism, reflections on anarchy, populism, and the crisis of electoral politics. A collective of anarchist geographers

This paper is comprised of a series of short, conversational or polemical interventions reflecting on the political \u2018moment\u2019 that has emerged in the wake of the rise of right-populist politics, particularly in the Global North. We position the UK\u2019s \u2018Brexit\u2019 vote and the election of Donald Trump as US President as emblematic of this shift, which has a longer genesis and a wider scale than these events alone. In particular, we draw on anarchist principles and approaches to consider opportunities for re-energising and re-orienting our academic and activist priorities in the wake of these turbulent times. Following a short introductory section, in which we collectively discuss key questions, challenges and tensions, each contributor individually draws from their own research or perspective to explore the possibilities of a politics beyond electoralism