Age related factors influence HIV testing within subpopulations: a cross sectional survey of MSM within the Celtic nations

Objectives: Despite a recent fall in the incidence of HIV within the UK, men who have sex with men (MSM) continue to be disproportionately affected. As biomedical prevention technologies including pre-exposure prophylaxis are increasingly taken up to reduce transmission, the role of HIV testing has become central to the management of risk. Against a background of lower testing rates among older MSM, this study aimed to identify age-related factors influencing recent (≤12 months) HIV testing. Methods: Cross-sectional subpopulation data from an online survey of sexually active MSM in the Celtic nations—Scotland, Wales, Northern Ireland and Ireland (n=2436)—were analysed to compare demographic, behavioural and sociocultural factors influencing HIV testing between MSM aged 16–25 (n=447), 26–45 (n=1092) and ≥46 (n=897). Results: Multivariate logistic regression demonstrated that for men aged ≥46, not identifying as gay (OR 0.62, CI 0.41 to 0.95), location (Wales) (OR 0.49, CI 0.32 to 0.76) and scoring higher on the personalised Stigma Scale (OR 0.97, CI 0.94 to 1.00) significantly reduced the odds for HIV testing in the preceding year. Men aged 26–45 who did not identify as gay (OR 0.61, CI 0.41 to 0.92) were also significantly less likely to have recently tested for HIV. For men aged 16–25, not having a degree (OR 0.48, CI 0.29 to 0.79), location (Republic of Ireland) (OR 0.55, CI 0.30 to 1.00) and scoring higher on emotional competence (OR 0.57, CI 0.42 to 0.77) were also significantly associated with not having recently tested for HIV. Conclusion: Key differences in age-related factors influencing HIV testing suggest health improvement interventions should accommodate the wide diversities among MSM populations across the life course. Future research should seek to identify barriers and enablers to HIV testing among the oldest and youngest MSM, with specific focus on education and stigma

Informing theoretical development of salutogenic, asset-based health improvement to reduce syndemics among gay, bisexual and other men who have sex with men: empirical evidence from secondary analysis of multi-national, online cross-sectional surveys

Globally, gay, bisexual and other men who have sex with men (GBMSM) experience an increased burden of poor sexual, mental and physical health. Syndemics theory provides a framework to understand comorbidities and health among marginalised populations. Syndemics theory attempts to account for the social, environmental, and other structural contexts that are driving and/or sustaining simultaneous multiple negative health outcomes, but has been widely critiqued. In this paper, we conceptualise a new framework to counter syndemics by assessing the key theoretical mechanisms by which pathogenic social context variables relate to ill-health. Subsequently, we examine how salutogenic, assets-based approaches to health improvement could function among GBMSM across diverse national contexts. Comparative quantitative secondary analysis of data on syndemics and community assets are presented from two international, online, cross-sectional surveys of GBMSM (SMMASH2 in Scotland, Wales, Northern Ireland and the Republic of Ireland and Sex Now in Canada). Negative sexual, mental and physical health outcomes were clustered as hypothesised, providing evidence of the syndemic. We found that syndemic ill-health was associated with social isolation and the experience of stigma and discrimination, but this varied across national contexts. Moreover, while some of our measures of community assets appeared to have a protective effect on syndemic ill-health, others did not. These results present an important step forward in our understanding of syndemic ill-health and provide new insights into how to intervene to reduce it. They point to a theoretical mechanism through which salutogenic approaches to health improvement could function and provide new strategies for working with communities to understand the proposed processes of change that are required. To move forward, we suggest conceptualising syndemics within a complex adaptive systems model, which enables consideration of the development, sustainment and resilience to syndemics both within individuals and at the population-level

Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study

Some real-world domains, such as Agriculture and Healthcare, comprise early-stage disease indications whose recording constitutes a rare event, and yet, whose precise detection at that stage is critical. In this type of highly imbalanced classification problems, which encompass complex features, deep learning (DL) is much needed because of its strong detection capabilities. At the same time, DL is observed in practice to favor majority over minority classes and consequently suffer from inaccurate detection of the targeted early-stage indications. To simulate such scenarios, we artificially generate skewness (99% vs. 1%) for certain plant types out of the PlantVillage dataset as a basis for classification of scarce visual cues through transfer learning. By randomly and unevenly picking healthy and unhealthy samples from certain plant types to form a training set, we consider a base experiment as fine-tuning ResNet34 and VGG19 architectures and then testing the model performance on a balanced dataset of healthy and unhealthy images. We empirically observe that the initial F1 test score jumps from 0.29 to 0.95 for the minority class upon adding a final Batch Normalization (BN) layer just before the output layer in VGG19. We demonstrate that utilizing an additional BN layer before the output layer in modern CNN architectures has a considerable impact in terms of minimizing the training time and testing error for minority classes in highly imbalanced data sets. Moreover, when the final BN is employed, minimizing the loss function may not be the best way to assure a high F1 test score for minority classes in such problems. That is, the network might perform better even if it is not confident enough while making a prediction; leading to another discussion about why softmax output is not a good uncertainty measure for DL models.Comment: Accepted for presentation and inclusion in ICPR 2020, the 25th International Conference on Pattern Recognitio

Numerical Investigation of Dam-Break Flow over a Bottom Obstacle Using Eulerian Finite Element Method

Dam-break flows can cause major destructions in case settlements located atthe downstream area. Since many people live in the settlements, investigations regarding the dam-break flow have great importance.Dam break flow characteristics can become variousbased on different downstream conditions. In this study, an investigation was made relating tothe dam break flow in a channel with symmetrical triangular-shaped bottom obstacle using Finite Element Method (FEM) formulation. Numerical results of the present study were compared with experimental results. It was concluded that numerical and experimental results are in good agreement

Observations of Temporal Group Delays in Slow-Light Multiple Coupled Photonic Crystal Cavities

We demonstrate temporal group delays in coherently coupled high- Q multicavity photonic crystals, in an all-optical analog to electromagnetically induced transparency. We report deterministic control of the group delay up to 4x the single cavity lifetime in our room-temperature chip. Supported by three-dimensional numerical simulations and theoretical analyses, our multipump beam approach enables control of the multicavity resonances and intercavity phase, in both single and double transparency peaks. The standing-wave wavelength-scale photon localization allows direct scalability for chip-scale optical pulse trapping and coupled-cavity quantum electrodynamics

Yükseköğretimde Karma bir Dersin Tasarımında İyi Uygulama İlkeleri

This study examines students’ perceptions of a blended course which uses the Seven Principles for Good Practice in Undergraduate Education. A blended teacher education course was designed with teaching and learning activities to introduce the Seven Principles for Good Practice. The participants included 47 pre-service teachers in an undergraduate teacher education program in Turkey. Data were collected using both qualitative and quantitative methods, including a questionnaire, student interviews, and discussion forum transcripts. The results indicate that the students’ perceptions of the blended course were mostly positive; the students felt that the blended environment was very useful. The participants perceived six of the seven principles to be helpful, including student-faculty contact, cooperation, time on task, diversity of ways to learn, feedback, and active learning. However, the students also thought that the seventh “expectations” principle needed to be improved.Bu çalışmada, üniversite eğitiminde İyi Uygulama için Yedi İlke’den faydalanılarak tasarlanan “karma bir öğrenme ortamı”a yönelik öğrencilerin algılarına bakılmıştır. Lisans düzeyinde bir ders İyi Uygulama İlkeleri yardımıyla yeniden tasarlanmıştır. Çalışmanın örneklemini Türkiye’deki bir öğretmen eğitimi programında okuyan 47 lisans öğrencisi oluşturmaktadır. Nitel ve nicel veriler üç farklı anket, öğrencilerle yapılan görüşmeler ve tartışma listesi çıktıları yoluyla toplanmıştır. Nitel ve nicel sonuçlar, öğrencilerin iyi uygulama ilkelerinden faydalanılarak tasarlanan karma derse karşı algılarının büyük ölçüde olumlu olduğunu göstermiştir. Sonuçlar öğrencilerin yedi temel ilkeden altısını oluşturan “öğrenci-öğretim elemanları arası iletişim”, “işbirliği”, “zamanlama”, “çeşitlilik ve öğrenme yolları”, “anlık geribildirim” ve “aktif öğrenme”nin karma ortamda desteklendiğini düşündüklerini göstermektedir. Yalnızca “beklenti” unsuruna yönelik öğrenci algılarının diğerlerine göre daha az olumlu olduğu ve bu unsurun geliştirilmesi gerektiği görülmektedir

Genotoxic mixtures and dissimilar action: Concepts for prediction and assessment

This article has been made available through the Brunel Open Access Publishing Fund. This article is distributed under the terms of the creative commons Attribution license which permits any use, distribution, and reproduction in any medium, provided the original author(s)and the source are credited.Combinations of genotoxic agents have frequently been assessed without clear assumptions regarding their expected (additive) mixture effects, often leading to claims of synergisms that might in fact be compatible with additivity. We have shown earlier that the combined effects of chemicals, which induce micronuclei (MN) in the cytokinesis-block micronucleus assay in Chinese hamster ovary-K1 cells by a similar mechanism, were additive according to the concept of concentration addition (CA). Here, we extended these studies and investigated for the first time whether valid additivity expectations can be formulated for MN-inducing chemicals that operate through a variety of mechanisms, including aneugens and clastogens (DNA cross-linkers, topoisomerase II inhibitors, minor groove binders). We expected that their effects should follow the additivity principles of independent action (IA). With two mixtures, one composed of various aneugens (colchicine, flubendazole, vinblastine sulphate, griseofulvin, paclitaxel), and another composed of aneugens and clastogens (flubendazole, doxorubicin, etoposide, melphalan and mitomycin C), we observed mixture effects that fell between the additivity predictions derived from CA and IA. We achieved better agreement between observation and prediction by grouping the chemicals into common assessment groups and using hybrid CA/IA prediction models. The combined effects of four dissimilarly acting compounds (flubendazole, paclitaxel, doxorubicin and melphalan) also fell within CA and IA. Two binary mixtures (flubendazole/paclitaxel and flubendazole/doxorubicin) showed effects in reasonable agreement with IA additivity. Our studies provide a systematic basis for the investigation of mixtures that affect endpoints of relevance to genotoxicity and show that their effects are largely additive.UK Food Standards Agenc

Observations of zero-order bandgaps in negative-index photonic crystal superlattices at the near-infrared

We present the first observations of zero-n bandgaps in photonic crystal superlattices consisting of alternating stacks of negative index photonic crystals and positive index dielectric materials in the near-infrared. Guided by ab initio three-dimensional numerical simulations, the fabricated nanostructured superlattices demonstrate the presence of zero-order gaps in remarkable agreement with theoretical predictions across a range of different superlattice periods and unit cell variations. These volume-averaged zero-index superlattice structures present a new type of photonic band gap, with potential for complete wavefront control for arbitrary phase delay lines and open cavity resonances.Comment: 14 pages, 3 Figure

Evaluating the performance of SURFEXv5 as a new land surface scheme for the ALADINcy36 and ALARO-0 models

The newly developed land surface scheme SURFEX (SURFace EXternalisee) is implemented into a limited-area numerical weather prediction model running operationally in a number of countries of the ALADIN and HIRLAM consortia. The primary question addressed is the ability of SURFEX to be used as a new land surface scheme and thus assessing its potential use in an operational configuration instead of the original ISBA (Interactions between Soil, Biosphere, and Atmosphere) scheme. The results show that the introduction of SURFEX either shows improvement for or has a neutral impact on the 2m temperature, 2m relative humidity and 10m wind. However, it seems that SURFEX has a tendency to produce higher maximum temperatures at high-elevation stations during winter daytime, which degrades the 2m temperature scores. In addition, surface radiative and energy fluxes improve compared to observations from the Cabauw tower. The results also show that promising improvements with a demonstrated positive impact on the forecast performance are achieved by introducing the town energy balance (TEB) scheme. It was found that the use of SURFEX has a neutral impact on the precipitation scores. However, the implementation of TEB within SURFEX for a high-resolution run tends to cause rainfall to be locally concentrated, and the total accumulated precipitation obviously decreases during the summer. One of the novel features developed in SURFEX is the availability of a more advanced surface data assimilation using the extended Kalman filter. The results over Belgium show that the forecast scores are similar between the extended Kalman filter and the classical optimal interpolation scheme. Finally, concerning the vertical scores, the introduction of SURFEX either shows improvement for or has a neutral impact in the free atmosphere