Using Cumulative Impact Mapping to Prioritize Marine Conservation Efforts in Equatorial Guinea

This is the final version. Available on open access from Frontiers Media via the DOI in this recordData Availability Statement Ensemble ecological niche models (EENMs) and threat maps (anthropogenic footprint, cumulative impact, and cumulative utilization and impact) for each species (Atlantic humpback dolphin Sousa teuszii; bottlenose dolphin Tursiops truncatus; humpback whale Megaptera novaeangliae; leatherback Dermochelys coriacea; and olive ridley sea turtle Lepidochelys olivacea) are available from the Dryad Digital Repository doi: 10.5061/dryad.v6wwpzgr9 (Trew et al., 2019).Marine biodiversity is under extreme pressure from anthropogenic activity globally, leading to calls to protect at least 10% of the world’s oceans within marine protected areas (MPAs) and other effective area-based conservation measures. Fulfilling such commitments, however, requires a detailed understanding of the distribution of potentially detrimental human activities, and their predicted impacts. One such approach that is being increasingly used to strengthen our understanding of human impacts is cumulative impact mapping; as it can help identify economic sectors with the greatest potential impact on species and ecosystems in order to prioritize conservation management strategies, providing clear direction for intervention. In this paper, we present the first local cumulative utilization impact mapping exercise for the Bioko-Corisco-Continental area of Equatorial Guinea’s Exclusive Economic Zone – situated in the Gulf of Guinea, one of the most important and least studied marine regions in the Eastern Central Atlantic. This study examines the potential impact of ten direct anthropogenic activities on a suite of key marine megafauna species and reveals that the most suitable habitats for these species, located on the continental shelf, are subject to the highest threat scores. However, in some coastal areas, the persistence of highly suitable habitat subject to lower threat scores suggests that there are still several strategic areas that are less impacted by human activity that may be suitable sites for protected area expansion. Highlighting both the areas with potentially the highest impact, and those with lower impact levels, as well as particularly damaging activities can inform the direction of future conservation initiatives in the region.Waitt FoundationWildlife Conservation SocietyDarwin InitiativeDepartment for Environment, Food and Rural Affairs (Defra)Waterloo FoundationNatural Environment Research Council (NERC)Marine Turtle Conservation Fund (United States Fish and Wildlife Service, United States Department of the Interior)Vaalco EnergyHarvest Natural ResourcesSea World and Busch Gardens Conservation FundTullow OilOld Dominion UniversityWWFWildlife Conservation SocietyUniversity of Exete

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

MONOLITHICALLY INTEGRATED SQW LASER AND HBT LASER DRIVER VIA SELECTIVE OMVPE REGROWTH

An AlGaAs/GaAs Npn HBT laser driver circuit and a pseudomorphic InGaAs/GaAs/AlGaAs graded index SQW laser have been laterally integrated to maintain surface planarity using selective OMVPE regrowth of the HBT. The self-aligned HBT's exhibit a dc current gain of 30 and an f(t) (f(max)) of 45 (60) GHz. The 980 nm lasers exhibit room temperature threshold current densities as low as 420 (320) A/cm2 for CW (pulsed) operation. The cavities measuring 40 (7) x 500 mum2 and have less than 1 (2) of series resistance. SPICE simulations of the integrated driver indicate operating speeds over 10 Gb/s are possible.5779179

Approach and avoidance of emotional faces in happy and sad mood

Contains fulltext : 116751.pdf (publisher's version ) (Open Access)Since the introduction of the associative network theory, mood-congruent biases in emotional information processing have been established in individuals in a sad and happy mood. Research has concentrated on memory and attentional biases. According to the network theory, mood-congruent behavioral tendencies would also be predicted. Alternatively, a general avoidance pattern would also be in line with the theory. Since cognitive biases have been assumed to operate strongly in case of social stimuli, mood-induced biases in approach and avoidance behavior towards emotional facial expressions were studied. 306 females were subjected to a highly emotional fragment of a sad or a happy movie, to induce either a sad mood or a happy mood. An Approach-Avoidance Task was implemented, in which single pictures of faces (with angry, sad, happy, or neutral expression) and non-social control pictures were presented. In contrast to our expectations, mood states did not produce differential behavioral biases. Mood-congruent and mood-incongruent behavioral tendencies were, however, present in a subgroup of participants with highest depressive symptomatology scores. This suggests that behavioral approach-avoidance biases are not sensitive to mood state, but more related to depressive characteristics.6 p