A Real-time Cerebral Bleeding in an Extremely Preterm Newborn

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Inheritance pattern of downy mildew resistance in advanced generations of sorghum

In a project aimed to incorporate downy mildew resistance into sorghum hybrid seed parents, we screened F4 and F5 families for resistance to the ICRISAT Centre isolate of the pathogen using a greenhouse seedling screening technique. The families originated from a cross of 296B (susceptible) and IS 18757 [(QL-3) resistant]. The F4s were obtained from agronomic selection in F2s and F3s, and the F5 families from advancing plants identified as resistant in segregating F4 families. The resistant plants were more than double the number of susceptible plants in the F4 and almost so in the F5 suggesting that resistance to downy mildew was dominant. Of the four genetic models examined (a single-locus model and three two-locus models with complementary, inhibitory, and a combination of complementary and inhibitory interactions), the two-locus model with independent segregation and a combination of complementary and inhibitory inter-allelic interaction appeared to be most appropriate in explaining the segregation patterns within and among F4 and F5 families. Accordingly, for resistance to P. sorghi, the suggested genotypes for IS 18757 is PlaPlaPlbPlb and for 296B is PlaPlaPlbPlb

Case Report: Could topical epidermal growth factor be considered a new therapy for skin injuries in premature infants?

In this case report, we present the experience of a premature neonate born at 28 weeks of gestation who, following prolonged respiratory support, developed a pressure injury on the columella despite the implementation of all appropriate preventive techniques. This injury did not improve with standard therapies; therefore, it was necessary to apply a topical galenic therapy containing epidermal growth factor, resulting in complete healing of the lesion

Two newborns with crooked mouths

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The Green Computing Continuum: the OPERA Perspective

Cloud computing is an emerging paradigm in which users’ access to a shared pool of computing resources is dynamically allocated (i.e. ubiquitous computing service), depending on their specific needs. Such paradigm exploits the infrastructural capabilities of modern data centers to provide computational power and storage space required to satisfy modern application demands. The seamless integration of Cyber-Physical Systems (CPS) and Cloud infrastructures allows the effective processing of the huge amount of data collected by smart embedded systems, towards the creation of new services for the end users. However, trying to continuously increase data center capabilities comes at the cost of an increased energy consumption. The OPERA project aims at bringing innovative solutions to increase the energy efficiency of Cloud infrastructures, by leveraging on modular, high-density, heterogeneous and low-power computing systems, spanning data center servers and remote CPS. The effectiveness of the proposed solutions is demonstrated with key scenarios: a road traffic monitoring application, the deployment of a virtual desktop infrastructure, and the deployment of a compact data center on a truck