A traffic surveillance function and conflict detection method for runway manoeuvres

Runway conflicts continue to occur regularly in commercial aviation. There have been several initiatives worldwide to implement new systems capable of detecting such conflicts. For example, ground based systems have been implemented in several airports improving the air traffic controller situational awareness. Unfortunately, however, these systems fail to provide support in situations where the time to conflict is very short. This paper discusses the implementation of an algorithm for traffic surveillance and runway conflict detection on board the aircraft to provide the necessary information directly to the crew. The rules on which the detection algorithm is based and the alert suppression logic to reduce the number of nuisance alerts are discussed. A description of the multi-threaded software architecture is also included

Design and preliminary pilot assessment of a directive runway conflict alerting and resolution system

The work described in this paper was carried out collaboratively between the Department of Electronic Systems Engineering of the University of Malta and Cranfield University’s Department of Aerospace Engineering and Department of Systems Engineering and Human Factors as part of the FLYSAFE project, funded under EC Framework Programme 6 (AIP4-CT-2005-516167).As runway incursions continue to occur, a radical change is required in the technique used for runway conflict mitigation. This paper presents the concept of an airborne runway conflict alerting and resolution system that generates directive alerts to the crew in order to instruct them on the action that should be taken to resolve the conflict. The system proposed utilises aircraft performance calculations to evaluate the viability of potential escape manoeuvres that could avert a collision as the basis of directing the crew into taking the safest action. A preliminary pilot assessment of the directive alerting philosophy has been carried out to qualitatively assess crew acceptance of this novel alerting philosophy in runway conflict mitigation.peer-reviewe

The economic feasibility of photovoltaic systems in the Maltese islands through MATLAB modelling

This research was aimed at the development of a mathematical model in MATLAB which can be used to analyze the performance of different photovoltaic systems available on the Maltese market. The model uses data regarding the solar radiation patterns of the Maltese islands and technical specifications of the photovoltaic systems to estimate the energy output and economic feasibility of a particular system. The model integrates a number of practical non-idealities such as inverter inefficiencies and yearly panel degradation and estimates their economic effects.Bajada New Energy, Bitmac ltd., Econetique, Energy Investment, JMV Vibro Blocks, Solar Engineering.peer-reviewe

Design of experiment for the pilot evaluation of an airborne runway incursion alerting system

Runway incursions pose a significant threat to the continued safety of commercial aviation. In response, the Runway Collision Avoidance Function (RCAF) was developed by the University of Malta and evaluated at Cranfield University as part of the European Programme FLYSAFE. This paper discusses the design of experiment developed in preparation of the said evaluations, addressing the objectives of the test programme and explains how these objectives were met.peer-reviewe

Profiles of learning. The Basic Skills Testing Program in New South Wales 1989

The 1989 Basic Skills Testing Program in New South Wales provides the most comprehensive picture yet compiled of literacy and numeracy learning in Australian primary schools. In 1989, some 53,800 Year 6 students in NSW government schools were tested in five aspects of literacy and numeracy. Another 2,300 Year 3 students took part in a pilot study. This book discusses the writing of the tests, the analysis of results, and the reporting of results to parents, teachers and schools. The aim of the basic skills tests is to describe, in positive terms, the skills that students have mastered, to identify areas in which students have special strengths and weaknesses, and to provide guides to further learning. The picture that emerges from this study is of widespread success in learning. The results point to much good teaching and a fine start in learning for most primary students. But this generally optimistic picture is over shadowed by the performances of some students who have not yet mastered essential Year 6 skills. Part I of the book describes the skills typical of students performing at each of five skill levels in each of five areas of learning (Reading, Language, Number, Measurement, and Space) on the tests. Part II shows how different subgroups of students performed on the tests. Results on each aspect of literacy and numeracy are reported separately for girls and boys, students with non-English-speaking backgrounds, Aboriginal and Torres Strait Islander students, and several age groupings. Part III explains and gives examples of reports mailed to parents, more detailed reports given to teachers, and summary tables generated for each school. Part IV describes procedures used to develop BSTP tests and to analyze students\u27 results in preparation for reporting. Numerous test items are presented

Crystal Structures of Malonyl-Coenzyme A Decarboxylase Provide Insights into Its Catalytic Mechanism and Disease-Causing Mutations

Malonyl-coenzyme A decarboxylase (MCD) is found from bacteria to humans, has important roles in regulating fatty acid metabolism and food intake, and is an attractive target for drug discovery. We report here four crystal structures of MCD from human, Rhodopseudomonas palustris, Agrobacterium vitis, and Cupriavidus metallidurans at up to 2.3 Å resolution. The MCD monomer contains an N-terminal helical domain involved in oligomerization and a C-terminal catalytic domain. The four structures exhibit substantial differences in the organization of the helical domains and, consequently, the oligomeric states and intersubunit interfaces. Unexpectedly, the MCD catalytic domain is structurally homologous to those of the GCN5-related N-acetyltransferase superfamily, especially the curacin A polyketide synthase catalytic module, with a conserved His-Ser/Thr dyad important for catalysis. Our structures, along with mutagenesis and kinetic studies, provide a molecular basis for understanding pathogenic mutations and catalysis, as well as a template for structure-based drug design

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707

Breast cancer management pathways during the COVID-19 pandemic: outcomes from the UK ‘Alert Level 4’ phase of the B-MaP-C study

Abstract: Background: The B-MaP-C study aimed to determine alterations to breast cancer (BC) management during the peak transmission period of the UK COVID-19 pandemic and the potential impact of these treatment decisions. Methods: This was a national cohort study of patients with early BC undergoing multidisciplinary team (MDT)-guided treatment recommendations during the pandemic, designated ‘standard’ or ‘COVID-altered’, in the preoperative, operative and post-operative setting. Findings: Of 3776 patients (from 64 UK units) in the study, 2246 (59%) had ‘COVID-altered’ management. ‘Bridging’ endocrine therapy was used (n = 951) where theatre capacity was reduced. There was increasing access to COVID-19 low-risk theatres during the study period (59%). In line with national guidance, immediate breast reconstruction was avoided (n = 299). Where adjuvant chemotherapy was omitted (n = 81), the median benefit was only 3% (IQR 2–9%) using ‘NHS Predict’. There was the rapid adoption of new evidence-based hypofractionated radiotherapy (n = 781, from 46 units). Only 14 patients (1%) tested positive for SARS-CoV-2 during their treatment journey. Conclusions: The majority of ‘COVID-altered’ management decisions were largely in line with pre-COVID evidence-based guidelines, implying that breast cancer survival outcomes are unlikely to be negatively impacted by the pandemic. However, in this study, the potential impact of delays to BC presentation or diagnosis remains unknown