Miokarditis vezan uz slinavku i šap u sisajuće teladi.

Foot-and-mouth disease (FMD) can lead to myocarditis in young animals, but the age distributions of calves with myocarditis have not been described, nor the biochemical profile in these calves. In an area endemic with foot-and-mouth disease, calves less than 6 months of age in infected farms were examined for clinical lesions and abnormalities in respiratory rate, heart rate and heart rhythm. In total, 53 calves were identified to be suspected of having foot-and-mouth disease infection. In 6 calves myocarditis was suspected based on tachypnea, tachycardia and gallop rhythm. In these 6 calves, cardiac troponin-I (cTnI) and aspartate aminotransferase (AST) were significantly higher (P<0.0001), but the levels of Creatinine Kinase MB (CK-MB) and Lactate dehydrogenase (LDH) were not. These 6 calves died within 2 days and histopathology confirmed myocarditis. All calves with myocarditis were younger than 2-months old, suggesting that myocarditis caused by FMD is mainly found in very young suckling calves.Slinavka i šap može dovesti do miokarditisa u mladih životinja. Dosada nije opisana dobna raspodjela miokarditisa ni biokemijski profil u teladi oboljele od slinavke i šapa. U jednom području gdje se slinavka i šap javlja endemijski, telad mlađa od šest mjeseci bila je na zaraženim farmama klinički pretražena posebice na poremećaje u frekvenciji bila, disanja i srčanog ritma. Ukupno su 53 teleta bila sumnjiva na slinavku i šap. Sumnja na miokarditis postavljena je u šest teladi i to na osnovi tahipneje, tahikardije i galopirajućeg ritma. U te su teladi razine srčanog troponina-I (cTnI) i aspartat-aminotransferaze (AST) bile značajno više (P<0,0001), dok razine kreatinin-kinaze MB (CK-MB) i laktat-dehidrogenaze (LDH) nisu. Tih šest teleta uginulo je unutar dva dana te je u njih miokarditis bio potvrđen patohistološki. Sva telad s miokarditisom bila je mlađa od dva mjeseca, što upućuje na zaključak da se miokarditis uzrokovan virusom slinavke i šapa pretežito javlja u sisajuće teladi najranije dobi

Alzheimer's Disease: a Review of its Visual System Neuropathology. Optical Coherence Tomography-a Potential Role As a Study Tool in Vivo

Alzheimer's disease (AD) is a prevalent, long-term progressive degenerative disorder with great social impact. It is currently thought that, in addition to neurodegeneration, vascular changes also play a role in the pathophysiology of the disease. Visual symptoms are frequent and are an early clinical manifestation; a number of psychophysiologic changes occur in visual function, including visual field defects, abnormal contrast sensitivity, abnormalities in color vision, depth perception deficits, and motion detection abnormalities. These visual changes were initially believed to be solely due to neurodegeneration in the posterior visual pathway. However, evidence from pathology studies in both animal models of AD and humans has demonstrated that neurodegeneration also takes place in the anterior visual pathway, with involvement of the retinal ganglion cells' (RGCs) dendrites, somata, and axons in the optic nerve. These studies additionally showed that patients with AD have changes in retinal and choroidal microvasculature. Pathology findings have been corroborated in in-vivo assessment of the retina and optic nerve head (ONH), as well as the retinal and choroidal vasculature. Optical coherence tomography (OCT) in particular has shown great utility in the assessment of these changes, and it may become a useful tool for early detection and monitoring disease progression in AD. The authors make a review of the current understanding of retinal and choroidal pathological changes in patients with AD, with particular focus on in-vivo evidence of retinal and choroidal neurodegenerative and microvascular changes using OCT technology.info:eu-repo/semantics/publishedVersio

Comparing Static and Dynamic Weighted Software Coupling Metrics

Coupling metrics that count the number of inter-module connections in a software system are an established way to measure internal software quality with respect to modularity. In addition to static metrics, which are obtained from the source or compiled code of a program, dynamic metrics use runtime data gathered, e.g., by monitoring a system in production. Dynamic metrics have been used to improve the accuracy of static metrics for object-oriented software. We study weighted dynamic coupling that takes into account how often a connection (e.g., a method call) is executed during a system’s run. We investigate the correlation between dynamic weighted metrics and their static counterparts. To compare the different metrics, we use data collected from four different experiments, each monitoring production use of a commercial software system over a period of four weeks. We observe an unexpected level of correlation between the static and the weighted dynamic case as well as revealing differences between class- and package-level analyses

On the Introduction of Automatic Program Repair in Bloomberg

A key to the success of Automatic Program Repair techniques is how easily they can be used in an industrial setting. In this article, we describe a collaboration by a team from four UK-based universities with Bloomberg (London) in implementing automatic, high-quality fixes to its code base. We explain the motivation for adopting APR, the mechanics of the prototype tool that was built, and the practicalities of integrating APR into existing systems. IEE

On the Introduction of Automatic Program Repair in Bloomberg

A key to the success of automatic program repair (APR) techniques is how easily they can be used in an industrial setting. In this article, we describe a collaboration by a team from four U.K.-based universities with Bloomberg (London) in implementing automatic, highquality fixes to its code base. We explain the motivation for adopting APR, the mechanics of the prototype tool that was built, and the practicalities of integrating APR into existing systems.10.13039/501100000266-Engineering and Physical Sciences Research Council (Grant Number: EP/S005730/1)

Towards developer-centered automatic program repair: findings from Bloomberg

Acknowledgements: We are very grateful to the Bloomberg developers who participated in our focus groups and gave of their time and expertise.This paper reports on qualitative research into automatic program repair (APR) at Bloomberg. Six focus groups were conducted with a total of seventeen participants (including both developers of the APR tool and developers using the tool) to consider: the development at Bloomberg of a prototype APR tool (Fixie); developers’ early experiences using the tool; and developers’ perspectives on how they would like to interact with the tool in future. APR is developing rapidly and it is important to understand in greater detail developers' experiences using this emerging technology. In this paper, we provide in-depth, qualitative data from an industrial setting. We found that the development of APR at Bloomberg had become increasingly user-centered, emphasising how fixes were presented to developers, as well as particular features, such as customisability. From the focus groups with developers who had used Fixie, we found particular concern with the pragmatic aspects of APR, such as how and when fixes were presented to them. Based on our findings, we make a series of recommendations to inform future APR development, highlighting how APR tools should 'start small', be customisable, and fit with developers' workflows. We also suggest that APR tools should capitalise on the promise of repair bots and draw on advances in explainable AI.This work was supported by an Engineering and Physical Sciences Research Council grant (EP/S005730/1)

Does COVID-19 Vaccination Warrant the Classical Principle " ofelein i mi vlaptin"?

The current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic warrants an imperative necessity for effective and safe vaccination, to restrain Coronavirus disease 2019 (COVID-19) including transmissibility, morbidity, and mortality. In this regard, intensive medical and biological research leading to the development of an arsenal of vaccines, albeit incomplete preconditioned evaluation, due to emergency. The subsequent scientific gap raises some concerns in the medical community and the general public. More specifically, the accelerated vaccine development downgraded the value of necessary pre-clinical studies to elicit medium- and long-term beneficial or harmful consequences. Previous experience and pathophysiological background of coronaviruses' infections and vaccine technologies, combined with the global vaccines' application, underlined the obligation of a cautious and qualitative approach, to illuminate potential vaccination-related adverse events. Moreover, the high SARS-CoV-2 mutation potential and the already aggregated genetical alterations provoke a rational vagueness and uncertainty concerning vaccines' efficacy against dominant strains and the respective clinical immunity. This review critically summarizes existing evidence and queries regarding SARS-CoV-2 vaccines, to motivate scientists' and clinicians' interest for an optimal, individualized, and holistic management of this unprecedented pandemic

Extracting Vascular Networks under Physiological Constraints via Integer Programming

Abstract. We introduce an integer programming-based approach to vessel net-work extraction that enforces global physiological constraints on the vessel struc-ture and learn this prior from a high-resolution reference network. The method accounts for both image evidence and geometric relationships between vessels by formulating and solving an integer programming problem. Starting from an over-connected network, it is pruning vessel stumps and spurious connections by evaluating bifurcation angle and connectivity of the graph. We utilize a high-resolution micro computed tomography (µCT) dataset of a cerebrovascular corro-sion cast to obtain a reference network, perform experiments on micro magnetic resonance angiography (µMRA) images of mouse brains and discuss properties of the networks obtained under different tracking and pruning approaches.