RETENTION OF FIRST-TIME FRESHMAN CADETS AT A SENIOR MILITARY COLLEGE

The purpose of this research was to explore whether there were aspects of the culture of the Corps of Cadets at the University of North Georgia that influenced the departure of first-time freshman cadets prior to entering their second year. The topic of college student retention has been extensively researched and documented, and strategies for college student success abound; however, little research has been done on first-time freshman cadet retention at senior military colleges. Recruiting cadets has become increasingly difficult resulting from a combination of a waning United States fertility rate, a declining eligibility to serve in the military among Americans age 17 to 24, and a persistently low propensity to serve in the military among men and women in this age group. Because of recruiting difficulties, retaining cadets has become increasingly important. To explore whether there were aspects of the culture that influenced first-time freshman cadet departure, an examination of the interaction among four areas of inquiry was used: (a) the generation of students from which UNG was recruiting and of which the Corps of Cadets was composed (Generation Z), (b) organizational socialization theory, (c) the culture of the Corps of Cadets, and (d) theories of leadership. The problem was explored within the conceptual framework of organizational socialization within the culture of the Corps of Cadets and through the lens of leadership theories. The research method used was qualitative ethnography employing narrative interviews, observations, and document collection. The findings confirmed that while transformational leadership was interspersed among the cadet leadership, there were some highly transactional and destructive aspects of the culture of leadership within the Corps of Cadets that influenced first-time freshman cadet departure

Planning and Implementing a Successful NSA-NSF GenCyber Summer Cyber Academy

The GenCyber program is jointly sponsored by the National Security Agency (NSA) and the National Science Foundation (NSF) to help faculty and cybersecurity experts provide summer cybersecurity camp experiences for K-12 students and teachers. The main objective of the program is to attract, educate, and motivate a new generation of young men and women to help address the nationwide shortage of trained cybersecurity professionals. The curriculum is flexible and centers on ten cybersecurity first principles. Currently, GenCyber provides cyber camp options for three types of audiences: students, teachers, and a combination of both teachers and students. In 2016, over 120 GenCyber camps were funded, serving 5,000+ students and teachers, and the NSA hopes to double the program in 2017. GenCyber camps can be offered at colleges, universities, public or private school systems, or non-profit institutions. The purpose of this paper is to describe the GenCyber program, provide lessons learned from a successful program implementation, and encourage PI’s to plan and implement a GenCyber summer cyber academy

Approaches toward Community Participation Enhancement in Ecotourism

A vast majority of scholarship share a similar view that collective participation of different stakeholders serves as a prerequisite for ecotourism sustainable development. Local community participation is considered to be an important pillar of ecotourism development as local communities are capable of influencing success or failure of ecotourism development projects. Socio-economic and socio-cultural well-being of local communities are crucial ingredients for maintaining rapport amongst stakeholders and sustaining ecotourism development. Despite being promulgated as a central pillar of ecotourism development, literature reveals that local communities have not been actively participating in planning and decision-making processes regarding ecotourism development. Adoption of Western-centric oriented participation frameworks by numerous state authorities coupled with lacking necessary skills have been identified as the main factors that hinder active participation of local communities in ecotourism development initiatives. It has therefore, been suggested that ecotourism destinations need to adopt and implement participatory approaches that suit their specific contexts and promote bottom-up ecotourism development procedures. Based on its potential for influencing review and amendment of existing tourism-related policies, a local community participation improvement model has been developed. The model is aimed at facilitating inclusive and active participation of all stakeholders in ecotourism development processes

Bacteriophage K1F targets Escherichia coli K1 in cerebral endothelial cells and influences the barrier function

Bacterial neonatal meningitis results in high mortality and morbidity rates for those affected. Although improvements in diagnosis and treatment have led to a decline in mortality rates, morbidity rates have remained relatively unchanged. Bacterial resistance to antibiotics in this clinical setting further underlines the need for developing other technologies, such as phage therapy. We exploited an in vitro phage therapy model for studying bacterial neonatal meningitis based on Escherichia coli (E. coli) EV36, bacteriophage (phage) K1F and human cerebral microvascular endothelial cells (hCMECs). We show that phage K1F is phagocytosed and degraded by constitutive- and PAMP-dependent LC3-assisted phagocytosis and does not induce expression of inflammatory cytokines TNFα, IL-6, IL-8 or IFNβ. Additionally, we observed that phage K1F temporarily decreases the barrier resistance of hCMEC cultures, a property that influences the barrier permeability, which could facilitate the transition of immune cells across the endothelial vessel in vivo. Collectively, we demonstrate that phage K1F can infect intracellular E. coli EV36 within hCMECs without themselves eliciting an inflammatory or defensive response. This study illustrates the potential of phage therapy targeting infections such as bacterial neonatal meningitis and is an important step for the continued development of phage therapy targeting antibiotic-resistant bacterial infections generally

Evaluating the Effectiveness of the Strategies for Sustaining Nature-Based Tourism amid Global Health Crises: A Global Perspective

Nature-based tourism (NBT) is one of the most rapidly growing segments of the global service economic space. However, as its success and sustainability are dependent largely on human mobility, NBT is susceptible to economic disruptions triggered by the advent of unprecedented hazardous global phenomena. Literary evidence has revealed that certain strategies, such as strict health protocols and guidelines for tourism reactivation, have been implemented by tourist destinations to sustain tourism activities amid disastrous pandemics and epidemics. Health-related and general safety issues have been at the helm of policy and decision making in tourism-related initiatives to enhance the image of ideal tourist destinations. Such events, particularly the COVID-19 pandemic that introduced stringent regulations, have caused the tourism industry and its sub-sets to be completely transformed from being ‘normal sectoral environments characterized by optimistic economic prospects’ to ‘new normal environments characterized by uncertain economic prospects’. According to the business theory, the success of an enterprise is determined by assumptions relating to its environment, the accomplishment of its mission, its service competency, and the utilisation of resources that enable the achievement of its mission. The social exchange theory proposes interactions that create commitment and an enabling environment to build strong relationships under certain conditions. This is applicable to the tourist industry as tourists travel to destinations that adapt to unprecedented conditions on a par with evolving environmental demands

Predictive phage therapy for Escherichia coli urinary tract infections: cocktail selection for therapy based on machine learning models

This study supports the development of predictive bacteriophage (phage) therapy: the concept of phage cocktail selection to treat a bacterial infection based on machine learning (ML) models. For this purpose, ML models were trained on thousands of measured interactions between a panel of phage and sequenced bacterial isolates. The concept was applied to Escherichia coli associated with urinary tract infections. This is an important common infection in humans and companion animals from which multidrug-resistant (MDR) bloodstream infections can originate. The global threat of MDR infection has reinvigorated international efforts into alternatives to antibiotics including phage therapy. E. coli exhibit extensive genome-level variation due to horizontal gene transfer via phage and plasmids. Associated with this, phage selection for E. coli is difficult as individual isolates can exhibit considerable variation in phage susceptibility due to differences in factors important to phage infection including phage receptor profiles and resistance mechanisms. The activity of 31 phage was measured on 314 isolates with growth curves in artificial urine. Random Forest models were built for each phage from bacterial genome features, and the more generalist phage, acting on over 20% of the bacterial population, exhibited F1 scores of &gt;0.6 and could be used to predict phage cocktails effective against previously untested strains. The study demonstrates the potential of predictive ML models which integrate bacterial genomics with phage activity datasets allowing their use on data derived from direct sequencing of clinical samples to inform rapid and effective phage therapy.</p

Predictive phage therapy for Escherichia coli urinary tract infections: cocktail selection for therapy based on machine learning models

This study supports the development of predictive bacteriophage (phage) therapy: the concept of phage cocktail selection to treat a bacterial infection based on machine learning models (MLM). For this purpose, MLM were trained on thousands of measured interactions between a panel of phage and sequenced bacterial isolates. The concept was applied to Escherichia coli (E. coli) associated with urinary tract infections. This is an important common infection in humans and companion animals from which multi-drug resistant (MDR) bloodstream infections can originate. The global threat of MDR infection has reinvigorated international efforts into alternatives to antibiotics including phage therapy. E. coli exhibit extensive genome-level variation due to horizontal gene transfer via phage and plasmids. Associated with this, phage selection for E. coli is difficult as individual isolates can exhibit considerable variation in phage susceptibility due to differences in factors important to phage infection including phage receptor profiles and resistance mechanisms. The activity of 31 phage were measured on 314 isolates with growth curves in artificial urine. Random Forest models were built for each phage from bacterial genome features and the more generalist phage, acting on over 20% of the bacterial population, exhibited F1 scores of &gt;0.6 and could be used to predict phage cocktails effective against previously untested strains. The study demonstrates the potential of predictive models which integrate bacterial genomics with phage activity datasets allowing their use on data derived from direct sequencing of clinical samples to inform rapid and effective phage therapy.Significance Statement With the growing challenge of antimicrobial resistance there is an urgency for alternative treatments for common bacterial diseases including urinary tract infections (UTIs). Escherichia coli is the main causative agent of UTIs in both humans and companion animals with multidrug resistant strains such as the globally disseminated ST131 becoming more common. Bacteriophage (phage) are natural predators of bacteria and potentially an alternative therapy. However, a major barrier for phage therapy is the specificity of phage on target bacteria and therefore difficulty efficiently selecting the appropriate phage. Here, we demonstrate a genomics driven approach using machine learning prediction models combined with phage activity clustering to select phage cocktails based only on the genome sequence of the infecting bacterial strain

Implications of lowering threshold of plasma troponin concentration in diagnosis of myocardial infarction: cohort study

Objective To assess the relation between troponin concentration, assay precision, and clinical outcomes in patients with suspected acute coronary syndrome

Kids' Outcomes And Long-term Abilities (KOALA): protocol for a prospective, longitudinal cohort study of mild traumatic brain injury in children 6 months to 6 years of age

Introduction: Mild traumatic brain injury (mTBI) is highly prevalent, especially in children under 6 years. However, little research focuses on the consequences of mTBI early in development. The objective of the Kids' Outcomes And Long-term Abilities (KOALA) study is to document the impact of early mTBI on children's motor, cognitive, social and behavioural functioning, as well as on quality of life, stress, sleep and brain integrity. Methods and analyses KOALA is a prospective, multicentre, longitudinal cohort study of children aged 6 months to 6 years at the time of injury/recruitment. Children who sustain mTBI (n=150) or an orthopaedic injury (n=75) will be recruited from three paediatric emergency departments (PEDs), and compared with typically developing children (community controls, n=75). A comprehensive battery of prognostic and outcome measures will be collected in the PED, at 10 days, 1, 3 and 12 months postinjury. Biological measures, including measures of brain structure and function (magnetic resonance imaging, MRI), stress (hair cortisol), sleep (actigraphy) and genetics (saliva), will complement direct testing of function using developmental and neuropsychological measures and parent questionnaires. Group comparisons and predictive models will test the a priori hypotheses that, compared with children from the community or with orthopaedic injuries, children with mTBI will (1) display more postconcussive symptoms and exhibit poorer motor, cognitive, social and behavioural functioning;(2) show evidence of altered brain structure and function, poorer sleep and higher levels of stress hormones. A combination of child, injury, socioenvironmental and psychobiological factors are expected to predict behaviour and quality of life at 1, 3 and 12 months postinjury. Ethics and dissemination The KOALA study is approved by the Sainte-Justine University Hospital, McGill University Health Centre and University of Calgary Conjoint Health Research Ethics Boards. Parents of participants will provide written consent. Dissemination will occur through peer-reviewed journals and an integrated knowledge translation plan

US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.Comment: 102 pages + reference