Mentor Teaching in Four Communities of Catholic Sisters in the Mid-Twentieth Century (1940-1965)

This dissertation is a qualitative study that explores mentoring experiences of Catholic teaching nuns– hereafter called sisters and/or women religious– who served in parochial schools in the mid-twentieth century in the Diocese of Syracuse, NY. Teaching sisters comprised the majority of the professional workforce in Catholic schools through ministry as classroom teachers, building principals, diocesan-level administrators, service providers, and more. The purpose of this qualitative study was to develop an understanding of how teaching sisters engaged in mentoring to develop instructional and pedagogical skills in the mid-twentieth century, specifically 1940 through 1965. In addition to researching archival records, this study employs a phenomenological approach and uses oral history methods, enabling sisters to share their experiences in focus groups and oral history interviews. Interview data were recorded, transcribed and analyzed. This study asks the following research questions: 1) What do teaching sisters’ oral histories reveal about their development of teaching skills?; 2) What do teaching sisters’ oral histories reveal about how formal and informal networks supported their development of these skills?; 3) What do teaching sisters reveal about how support evolved over time?; 4) What do teaching sisters’ oral histories reveal about the roles formal and informal networks played in their development as teachers?; 5) Did their support for each others’ teaching change over time? The findings suggest that during the first half of the period studied, mentoring was a critical practice that sisters depended upon to develop skills in pedagogical practices, including lesson planning, instructional delivery, student assessment, and daily operations. In the second half of the time period under consideration mentoring practices continued; however, sisters began providing support to help them cope with substantial changes occurring in religious life. Sisters have shared empathy and symbiotic penchants to provide emotional and compassionate support to cultivate congregational and professional success. This research provides individual and congregational experiences that illuminate how mentoring was used as a form of occupational support. First-person narratives, based on the lived experiences of teaching sisters, further add to the existing literature on the history of women religious

Malware Detection using Machine Learning and Deep Learning

Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies have been proposing solutions to defend attacks from these malware. The velocity, volume, and the complexity of malware are posing new challenges to the anti-malware community. Current state-of-the-art research shows that recently, researchers and anti-virus organizations started applying machine learning and deep learning methods for malware analysis and detection. We have used opcode frequency as a feature vector and applied unsupervised learning in addition to supervised learning for malware classification. The focus of this tutorial is to present our work on detecting malware with 1) various machine learning algorithms and 2) deep learning models. Our results show that the Random Forest outperforms Deep Neural Network with opcode frequency as a feature. Also in feature reduction, Deep Auto-Encoders are overkill for the dataset, and elementary function like Variance Threshold perform better than others. In addition to the proposed methodologies, we will also discuss the additional issues and the unique challenges in the domain, open research problems, limitations, and future directions.Comment: 11 Pages and 3 Figure

How HEXACO personality traits predict different selfie-posting behaviors among adolescents and young adults

Selfies are usually defined as self-portrait photos shared on social networks. Recent studies investigated how personality traits, and specifically narcissism, can be associated to different kinds of selfies. The HEXACO model, a new theory on personality structure, investigates personality on six dimensions, among which there is the Honesty/Humility trait, found strongly and negatively associated to narcissism. Thus, this study aims to investigate how different kinds of selfies could be predicted by HEXACO personality traits, controlling for age, gender and sexual orientation. Participants were 750 adolescents and young adults (59.1% girls, N = 443) from 13 to 30 years (Mage = 20.96; SDage = 4.23) who completed an online survey composed by the Kinsey scale, three questions about the frequency of different kinds of selfies (i.e. own selfies, group selfies and selfies with partner) and 60-item Hexaco Personality Inventory-Revised. Results showed that females, adolescents and not- exclusively heterosexuals posted more own selfies, and that adolescents posted also more group selfies and selfies with partner. Moreover lower Honesty/Humility, lower Conscientiousness, higher Emotionality and higher Extraversion significantly predict both own selfies and group selfies. Finally, only lower Honesty/Humility and higher Emotionality predict selfies with partner. Results suggested a common pattern of personality traits that can explain selfies behaviors according to literature on HEXACO model. Specifically, these findings enlightened that Honesty/Humility and Emotionality traits seem to be relevant in understanding selfies. People who post more selfies are lower in Honesty/Humility, showing a strong sense of self-importance and feeling superior. Moreover, they show higher Emotionality that is related to looking for social reinforcement on social networks. Only for own and group selfies, people high in Extraversion probably feel self-confident in groups, also in the online dimension, and low extraverted people probably posted less frequently because they feel uncomfortable being at the center of attention. Finally, people with high Conscientiousness spend less time online because they consider social networks as a distraction from their tasks. Thus, HEXACO model allows to better understand which personality traits can predict different kinds of selfies. Limitations and implications for future research are discussed

A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the spread of the virus have changed the way humans interact and conceive interaction. Due to geographical, behavioral, or economic factors, different sub-groups among a population are more (or less) likely to interact, and thus to spread/acquire the virus. In this work, we present a general multi-group SEIRA model for representing the spread of COVID-19 among a heterogeneous population and test it in a numerical case of study. By highlighting its applicability and the ease with which its general formulation can be adapted to particular studies, we expect our model to lead us to a better understanding of the evolution of this pandemic and to better public-health policies to control it

An alternate proton acceptor for excited-state proton transfer in green fluorescent protein: Rewiring GFP

The neutral form of the chromophore in wild-type green fluorescent protein (wtGFP) undergoes excited-state proton transfer (ESPT) upon excitation, resulting in characteristic green (508 nm) fluorescence. This ESPT reaction involves a proton relay from the phenol hydroxyl of the chromophore to the ionized side chain of E222, and results in formation of the anionic chromophore in a protein environment optimized for the neutral species (the I* state). Reorientation or replacement of E222, as occurs in the S65T and E222Q GFP mutants, disables the ESPT reaction and results in loss of green emission following excitation of the neutral chromophore. Previously, it has been shown that the introduction of a second mutation (H148D) into S65T GFP allows the recovery of green emission, implying that ESPT is again possible. A similar recovery of green fluorescence is also observed for the E222Q/H148D mutant, suggesting that D148 is the proton acceptor for the ESPT reaction in both double mutants. The mechanism of fluorescence emission following excitation of the neutral chromophore in S65T/H148D and E222Q/H148D has been explored through the use of steady state and ultrafast time-resolved fluorescence and vibrational spectroscopy. The data are contrasted with those of the single mutant S65T GFP. Time-resolved fluorescence studies indicate very rapid (<1 ps) formation of I* in the double mutants, followed by vibrational cooling on the picosecond time scale. The time-resolved IR difference spectra are markedly different to those of wtGFP or its anionic mutants. In particular, no spectral signatures are apparent in the picosecond IR difference spectra that would correspond to alteration in the ionization state of D148, leading to the proposal that a low-barrier hydrogen bond (LBHB) is present between the phenol hydroxyl of the chromophore and the side chain of D148, with different potential energy surfaces for the ground and excited states. This model is consistent with recent high-resolution structural data in which the distance between the donor and acceptor oxygen atoms is =2.4 Å. Importantly, these studies indicate that the hydrogen-bond network in wtGFP can be replaced by a single residue, an observation which, when fully explored, will add to our understanding of the various requirements for proton-transfer reactions within proteins

Solar urticaria in the visible spectrum successfully treated with astemizole

Three cases of solar urticaria in the visible spectrum successfully treated with astemizole, a H1 antihistamine, are reported. The administration of 10 mg a day of the drug increased the minimal urticarial dose from 2 to 12 times

Development of the first-mention bias

In many contexts, pronouns are interpreted as referring to the character mentioned first in the previous sentence, an effect called the ‘first-mention bias’. While adults can rapidly use the first-mention bias to guide pronoun interpretation, it is unclear when this bias emerges during development. Curiously, experiments with children between two and three years old show successful use of order of mention, while experiments with older children (four to five years old) do not. While this could suggest U-shaped development, it could also reflect differences in the methodologies employed. We show that children can indeed use first-mention information, but do so too slowly to have been detected in previous work reporting null results. Comparison across the present and previously published studies suggests that the speed at which children deploy first-mention information increases greatly during the preschool years.Psycholog