Understanding eINVs through the lens of prior research in entrepreneurship, international business and international entrepreneurship

In this chapter we examine the growing phenomenon of internet-based international new ventures, which we label “eINVS,” through the lens of previous research in the fields of entre- preneurship, international business and international entrepreneurship. Our purpose is to iden- tify where these existing bodies of research help us to understand eINVs, and where there are gaps that constitute important questions for future research. We define an eINV by adapting a widely used definition of international new ventures (INV) (Oviatt and McDougall 2005: 5): an eINV is a venture whose business model is enabled by a digital platform and that, from incep- tion, seeks to derive significant competitive advantage from international growth. With a focus explicitly on how extant research helps us understand eINVs, this review differs from that of Reuber and Fischer (2011b), who focus on firm-level internet-related resources that are related to the internationalization of ventures in general; that of Pezderka and Sinkovics (2011), who focus on risk and the online foreign market entry decisions of small and medium-sized enter- prises (SMEs); and that of Chandra and Coviello (2010), who focus on consumers using the internet to pursue international opportunities

Risks and Prevalence of Diabetic Retinopathy in Children and Young People with Type 1 Diabetes Mellitus

Diabetic retinopathy is a progressive ophthalmic microvascular complication of diabetes and is one of the commonest complications of Type 1 diabetes (T1D). The prevalence of diabetic eye disease varies within different population and age groups, and many risk factors are associated with the development and progression of diabetic retinopathy in T1D. This review discusses the current prevalence of diabetic retinopathy in children and young people (0-18 years) with T1D and the risk factors associated with the presence of diabetic eye disease in this population

Predation of Belugas and Narwhals by Polar Bears in Nearshore Areas of the Canadian High Arctic

On 18 August 1988 we found four narwhals and two dead belugas stranded on a low beach at Creswell Bay, Somerset Island. All of the narwhals and two of the belugas had been attacked and partially eaten by polar bears. At Cunningham Inlet, where belugas concentrate in large numbers, we have noted ten strandings over the period 1980-88, without bear predation on these occasions. One bear, hunting from an ice floe in deep water at Cunningham Inlet, killed two sub-adult belugas in July 1985. Belugas seem to exhibit curiosity towards swimming polar bears that might serve to drive bears out of the area and reduce the risk of predation. The potential large summer food resource for bears represented by odontocete whales in the High Arctic Archipelago seems to be underutilized. The timing and location of beluga concentrations are known and dates of probable strandings are somewhat predictable, which might allow us to assess the extent of bear predation on whales in the future.

Women at Fuller: A History

In 1947, when Fuller Theological Seminary was founded, it was assumed that all students preparing for ministry would be men; women, however, saw it differently. At their insistence, by the following year women were taking individual courses, and by 1950 a degree specifically for women—the Bachelor of Sacred Theology, a modified version of the Bachelor of Divinity—was created, with Helen Clark its first graduate in 1952. That year also saw the hiring of Fuller’s first faculty member, Rebecca Price, who taught and administered a second degree designed with women in mind, the Master of Religious Education. By 1966, all Fuller’s degree programs were opened to women. With the 1970s came the creation of an Office of Women’s Concerns, courses on women in ministry initiated and taught by Roberta Hestenes, and Fuller’s first female tenure-track faculty member, Hendrika Vande Kemp. “We made it clear that women are welcome, and they showed up,” said trustee Max De Pree about that time more than 40 years ago. “If you were a woman and you felt called to ministry, you could go to Fuller.” For decades now, Fuller has welcomed women equally into all its programs

Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis

Introduction Undiagnosed diabetes is a global health issue. Previous studies have estimated that about 24.1%–75.1% of all diabetes cases are undiagnosed, leading to more diabetic complications and inducing huge healthcare costs. Many current methods for diabetes diagnosis rely on metabolic indices and are subject to considerable variability. In contrast, a digital approach based on retinal image represents a stable marker of overall glycemic status.Research design and methods Our study involves 2221 subjects for developing a classification model, with 945 subjects with diabetes and 1276 controls. The training data included 70% and the testing data 30% of the subjects. All subjects had their retinal images taken using a non-mydriatic fundus camera. Two separate data sets were used for external validation. The Hong Kong testing data contain 734 controls without diabetes and 660 subjects with diabetes, and the UK testing data have 1682 subjects with diabetes.Results The 10-fold cross-validation using the support vector machine approach has a sensitivity of 92% and a specificity of 96.2%. The separate testing data from Hong Kong provided a sensitivity of 99.5% and a specificity of 91.1%. For the UK testing data, the sensitivity is 98.0%. The accuracy of the Caucasian retinal images is comparable with that of the Asian data. It implies that the digital method can be applied globally. Those with diabetes complications in both Hong Kong and UK data have a higher probability of risk of diabetes compared with diabetes subjects without complications.Conclusions A digital machine learning-based method to estimate the risk of diabetes based on retinal images has been developed and validated using both Asian and Caucasian data. Retinal image analysis is a fast, convenient, and non-invasive technique for community health applications. In addition, it is an ideal solution for undiagnosed diabetes prescreening

Unleashed:walking dogs off the lead greatly increases habitat disturbance in UK lowland heathlands

Human population growth is associated with increased disturbance to wildlife. This effect is particularly acute in urban and periurban areas, where the area of effective disturbance extends beyond that of human presence by the roaming behaviour of pet dogs. Dogs are globally the dominant companion animal, with a population of ~ 12 million in the UK. As urban areas extend, dogs are exercised in green space close to housing. In southeast and southern England these areas include lowland heath, a habitat of high conservation value. To quantify disturbance caused by dog walkers and their dogs, we used GPS units to track the movement of people and their dogs across four lowland heath sites, used a questionnaire to ask about dog walking habits, and mapped potential areas of disturbance caused by dog walkers. Questionnaires were completed by 798 dog walkers and the walks of 162 owners and their 185 dogs were recorded. Mean (± SE) walk time was 56 ± 23 min, walk distance 3.75 ± 1.68 km and dogs were a median distance of 20 m from the owner during walks. Dogs were walked once (44%) or twice (56%) a day. Most (always: 85%; always or occasionally: 95%) dogs were walked off the lead even when signs were present requesting that dogs were kept on a lead. This resulted in up to a 21% increase in reserve area disturbed. In one reserve (Snelsmore Common), > 90% of the area was disturbed by dogs, greatly eroding its conservation value. This work highlights the importance of considering how dog ownership can exacerbate levels of disturbance in sensitive periurban habitats when housing developments are planned

Increasing the use of trauma-sensitive lens for school case managers: a training assessment

This manuscript reports on a study to determine the efficacy of a one-day training for school-based case managers on the impact of trauma on students, utilizing a trauma sensitive lens in schools, and using various trauma assessments and screens. The one-day training was presented to 25 case managers providing direct social services in schools. We gathered data at three points in time (pretest, post-test, and post-test one month after training) and found statistically different scores at each point in time. We discuss the implications for training school based professionals