Obituary: Alan Raybould

Professor Alan Raybould was born and raised in Wolverhampton, in the West Midlands, United Kingdom. He attained a First Class Degree in Botany from the University of Manchester, followed by his PhD in Population Genetics at the University of Birmingham in 1989, researching population genetics of Spartina anglica. Alan began his scientific career at the Institute of Terrestrial Ecology at Furzebrook, Dorset, which later became part of the United Kingdom Centre for Ecology and Hydrology. During this period (1990–2001), he progressed from a post-doctoral research position to becoming the lead scientist in molecular ecology, studying gene-flows from genetically-modified crops to related wild plant populations

Correction to: Two years later: Is the SARS-CoV-2 pandemic still having an impact on emergency surgery? An international cross-sectional survey among WSES members

Background: The SARS-CoV-2 pandemic is still ongoing and a major challenge for health care services worldwide. In the first WSES COVID-19 emergency surgery survey, a strong negative impact on emergency surgery (ES) had been described already early in the pandemic situation. However, the knowledge is limited about current effects of the pandemic on patient flow through emergency rooms, daily routine and decision making in ES as well as their changes over time during the last two pandemic years. This second WSES COVID-19 emergency surgery survey investigates the impact of the SARS-CoV-2 pandemic on ES during the course of the pandemic. Methods: A web survey had been distributed to medical specialists in ES during a four-week period from January 2022, investigating the impact of the pandemic on patients and septic diseases both requiring ES, structural problems due to the pandemic and time-to-intervention in ES routine. Results: 367 collaborators from 59 countries responded to the survey. The majority indicated that the pandemic still significantly impacts on treatment and outcome of surgical emergency patients (83.1% and 78.5%, respectively). As reasons, the collaborators reported decreased case load in ES (44.7%), but patients presenting with more prolonged and severe diseases, especially concerning perforated appendicitis (62.1%) and diverticulitis (57.5%). Otherwise, approximately 50% of the participants still observe a delay in time-to-intervention in ES compared with the situation before the pandemic. Relevant causes leading to enlarged time-to-intervention in ES during the pandemic are persistent problems with in-hospital logistics, lacks in medical staff as well as operating room and intensive care capacities during the pandemic. This leads not only to the need for triage or transferring of ES patients to other hospitals, reported by 64.0% and 48.8% of the collaborators, respectively, but also to paradigm shifts in treatment modalities to non-operative approaches reported by 67.3% of the participants, especially in uncomplicated appendicitis, cholecystitis and multiple-recurrent diverticulitis. Conclusions: The SARS-CoV-2 pandemic still significantly impacts on care and outcome of patients in ES. Well-known problems with in-hospital logistics are not sufficiently resolved by now; however, medical staff shortages and reduced capacities have been dramatically aggravated over last two pandemic years

Research and Design in Shifting from Analog to Digital

In this paper we track the evolution of computational design from its analog origins to its contemporary digital regime. Our long term goal is to qualify and quantify the implications of digital computation on design thinking and its influence on the architectural practice. Meanwhile, we present the results of our past few years of collaborative research in design and computation that illustrate the nature of the intellectual engagement required for appreciating the potential of digital design thinking and making. In a temporal frame, these results are expressed as a constellation of punctuated innovations emerging sporadically during the painstaking process of tackling architectural problems using digital means. In the long run, they hopefully amount to an approach to fleshing out a paradigm shift from analog to digital and building a knowledge foundation of architectural methods.

In Cloud We Trust: Risk-Assessment-as-a-Service

Part 1: Full PapersInternational audienceCloud computing is an emerging paradigm that allows adoption of on-demand services in a cost-effective way. Migrating services to the Cloud also means been exposed to new threats and vulnerabilities, thus, resulting in a modified assessment of risk. Assessing risk in the Cloud remains an open research issue, as it requires a given level of trust of the Cloud service provider for providing assessment data and implementing controls. This paper surveys existing knowledge, regarding risk assessment for the Cloud, and highlights the requirements for the design of a cloud-targeted method that is offered as a service, which is also in compliance with the specific characteristics of the Cloud

Accurate gingival recession quantification using 3D digital dental models

Objectives: To develop and validate a method for accurate quantitative assessment of gingival recessions based on superimposition of serial 3D digital models. Materials and methods: Gingival recessions of mild (0.5–2 mm) and increased (3–7 mm) severity were simulated on stone casts and surface models were created. The outlines of the gingival margins of the mild (A) and severe recessions (B) were compared to the original gingival margins following 3D best fit superimposition through a gold standard technique (GS), which used intact adjacent structures, and the tested method (CC), which used single tooth crowns at the position of recessions, as superimposition reference. The primary outcome was the distance between the most apical point of each corresponding gingival margin along the respective tooth long axis. Results: For mild recessions, the median difference of the test methods (CC_A) from the reference method (GS_A) was 0.008 mm (IQR: 0.093; range: − 0.143, 0.147). For severe recessions, the median difference of the test method (CC_B) from the reference method (GS_B) was 0.009 mm (IQR: 0.091; range: − 0.170, 0.198). The proposed method (CC) showed very high intra- and inter-operator reproducibility (median: 0.025 and 0.033 mm, respectively). Conclusions: The suggested method offers highly accurate monitoring of gingival margin changes and diagnosis of gingival recessions using 3D digital dental models. The method is applicable irrespective of changes in tooth position or form, allowing for assessments over any time span. Clinical relevance: The accurate detection and visualization of gingival margin changes in 3D will enhance diagnosis and patient-doctor communication. © 2022, The Author(s)

Longitudinal 3d study of anterior tooth wear from adolescence to adulthood in modern humans

In modern humans, tooth wear can easily be observed as a loss of tooth substance, but its precise measurement is problematic. The aim of this longitudinal cohort study was to determine the precise amount of occlusal tooth wear in the anterior permanent dentition from adolescence to adulthood. Corresponding tooth crowns from serial 3D digital dental models of 72 individuals were best fit-approximated by applying novel, highly accurate 3D superimposition methods. The superimposed crowns were simultaneously sliced on intact structures, and the differences in the volumes of the subsequent occlusal parts were calculated. Over a thirteen-year period, there was an average loss of anterior occlusal surfaces of 1.58 mm3 per tooth. Tooth surface loss in at least one tooth was higher than 1 mm3 in 93.1% of the human subjects. Tooth wear severity differed by sex and tooth type, with males showing higher values versus females and upper canines versus other anterior teeth. The study revealed the endemic occurrence of occlusal anterior tooth wear, highlighting the need for monitoring of the condition in the population to identify high-risk patients and enable timely interventions. The novel methods applied here on 3D digital models are recommended for this. © 2021 by the authors. Licensee MDPI, Basel, Switzerland