Analyzing community responses to HIV and AIDS : operational framework and typology

This paper presents a framework for analyzing the community response to HIV and AIDS. On the basis of a review of the literature, six criteria are proposed for characterizing such community responses: (1) the types of organizations and structures implementing the response, (2) the types of activities or services implemented and the beneficiaries of these, (3) the actors involved in and driving community responses, (4) the contextual factors that influence community responses, (5) the extent of community involvement in the response, and (6) the extent to which community responses involve wider partnerships and collaboration.Disability,Civil Society,Community Development and Empowerment,HIV AIDS,Health Monitoring&Evaluation

Innovaci?n en oftalmolog?a

Ponencia: "Innovaci?n en oftalmolog?a" presentada por Nuria Olivier Pascual en la Mesa Redonda 2 sobre "Proyectos innovadores en el ?rea Sanitaria de Ferrol", en la 1? Jornada de Innovaci?n en Salud del ?rea Sanitaria de Ferrol, celebrada en Ferrol el 22 de septiembre de 2022.Ponencia: "Innovaci?n en oftalmolox?a" presentada por Nuria Olivier Pascual na Mesa Redonda 2 sobre "Proxectos innovadores na ?rea Sanitaria de Ferrol", na 1? Xornada de Innovaci?n en Sa?de da ?rea Sanitaria de Ferrol, celebrada en Ferrol o 22 de setembro de 2022

Guía itinerario formativo tipo (GIFT) Oftalmología

Guía del itinerario formativo de los residentes en el servicio de Oftalmología del Complejo Hospitalario Universitario de FerrolGuía do itinerario formativo dos residentes no servizo de Oftalmoloxía do Complexo Hospitalario Universitario de Ferro

Validation of a LISP simulator

We have developed a LISP simulator (CoreSim). CoreSim is an Internet-scale LISP deployment simulator. It is able to replay a packet trace and simulate the behavior of a LISP Ingress Tunnel Router (ITR) and the associated Mapping Resolver, on top of a topology based on measurements performed by the iPlane infrastructure. It reports mapping lookup latency, the load imposed on each node of the MS and cache performance statistics. The simulator implements LISP-ALT and LISP-DHT. In this technical report we validate our LISP-DHT implementation, present an estimator for the latencies not reported by iPlane and discuss the architecture of CoreSim.Preprin

Enhancing Pathological Detection and Monitoring in OCT Volumes with Limited Slices using Convolutional Neural Networks and 3D Visualization Techniques

Cursos e Congresos, C-155[Abstract] Optical Coherence Tomography (OCT) is a non-invasive imaging technique with a crucial role in the monitoring of a wide range of diseases. In order to make a good diagnosis it is essential that clinicians can observe any subtle changes that appear in the multiple ocular structures, so it is imperative that the 3D OCT volumes have good resolution in each axis. Unfortunately, there is a trade-off between image quality and the number of volume slices. In this work, we use a convolutional neural network to generate the intermediate synthetic slices of the OTC volumes and we propose a few variants of a 3D reconstruction algorithm to create visualizations that emphasize the changes present in multiple retinal structures to aid clinicians in the diagnostic processXunta de Galicia; ED431C 2020/24This research was funded by Government of Spain, Ministerio de Ciencia e Innovación y Universidades, Government of Spain, RTI2018-095894-B-I00 research project; Ministerio de Ciencia e Innovación, Government of Spain through the research projects with reference PID2019-108435RB-I00, PDC2022-133132-I00 and TED2021-131201B-I00; Consellería de Cultura, Educación e Universidade, Xunta de Galicia through the Grupos de Referencia Competitiva, grant ref. ED431C 2020/24; CITIC, as Research Center accredited by Galician University System, is funded by ”Consellería de Cultura, Educación e Universidade from Xunta de Galicia”, supported in an 80% through ERDF Funds, ERDF Operational Programme Galicia 2014-2020, and the remaining 20% by ”Secretaría Xeral de Universidades”, grant ref. ED431G 2019/01. Emilio López Varela acknowledges its support under FPI Grant Program through PID2019-108435RB-I00 project

Neutral and Cationic [Bis(η1-amidosilyl)-η5-cyclopentadienyl]titanium and -zirconium complexes: synthesis, X-ray molecular structures and DFT calculations

Treatment of LiNHtBu with THF solutions of C5H4(SiMe2Cl)2 gave C5H4(SiMe2NHtBu)2 (1). Deprotonation of 1 with M(NMe2)4 (M = Ti, Zr) under different conditions provided the monocyclopentadienyl complexes [M{η5-C5H3- [SiMe2(NHtBu)]2}(NMe2)3] [M = Ti (2), Zr (3)] and the single (η-amidosilyl)cyclopentadienyl compounds [M{η5-C5H3[SiMe2(NHtBu)][SiMe2(η1-NtBu)]}(NMe2)2] [M = Ti (4), Zr (5)]. The related dibenzyl compounds [M{η5-C5H3[SiMe2- (NHtBu)][SiMe2(η1-NtBu)]}(CH2Ph)2] [M = Ti (6), Zr (7)] resulted from treatment of 1 with M(CH2C6H5)4 (M = Ti, Zr). Further deprotonation of the amido complexes 4 and 5 and the benzyl complexes 6 and 7 by heating in toluene solution gave the bis(η-amidosilyl)cyclopentadienyl complexes [M{η5-C5H3[SiMe2(η1-NtBu)]2}(NMe2)] [M = Ti (8), Zr (9)] and [M{η5-C5H3[SiMe2(η1-NtBu)]2}(CH2Ph)] [M = Ti (10), Zr (11)], respectively. Treatment of the monobenzyl complexes 10 and 11 with B(C6F5)3 yielded the cationic compounds [M{η5-C5H3[SiMe2(η1-NtBu)]2}]+ as [(CH2Ph)B(C6F5)3] − [M = Ti (12), Zr (13)] salts. All new compounds were characterized by NMR spectroscopy, and the crystal structures of 10 and 13 were studied by diffraction methods. DFT calculations for the neutral and cationic species are described and provide an explanation for the unusual η1 coordination of a phenyl ring to a group-4 metal cationThe authors acknowledge the MCyT (project MAT2001-1309) for\ud financial support and the EC (project COST-D12/0016/98). J. C.\ud acknowledges CAM for a fellowship

Fully automatic segmentation of the choroid in non-EDI OCT images of patients with multiple sclerosis

Emilio López Varela acknowledges its support under FPI Grant Program through PID2019-108435RB-I00 project.[Abstract]: Multiple Sclerosis (MS) is a chronic neurological disease, in which immune-mediated mechanisms lead to pathological processes of neurodegeneration. Optical coherence tomography (OCT) has recently begun to be used to diagnose and monitor patients with MS. Morphological changes in the choroid have been linked to the onset of MS, so an accurate segmentation of this layer is critical. Conventional OCT has several limitations in obtaining accurate images of the choroid, which has been improved through the use of systems such as Enhanced Depth Imaging (EDI) OCT. Unfortunately, many longitudinal studies that have collected samples over the years in the past have been performed using highly variable settings and without the use of the EDI protocol (or similar variants). For these reasons, in this work we propose a series of fully automatic approaches, based on convolutional neural networks, capable of robustly segmenting the choroid in OCT images without using the EDI protocol. To test the robustness and efficiency of our method, we performed experiments on a public dataset and a collected one. The Dice score obtained by the best proposed architecture is 89.7 for the public dataset, and 93.7 for the collected dataset.Instituto de Salud Carlos III; DTS18/00136Ministerio de Ciencia e Innovación y Universidades; RTI2018-095894-B-I00Xunta de Galicia; ED431C 2020/24Ministerio de Ciencia e Innovación; PID2019-108435RB-I00Axencia Galega de Innovación (GAIN); IN845D 2020/38Xunta de Galicia; ED431G 2019/0

Generation of synthetic intermediate slices in 3D OCT cubes for improving pathology detection and monitoring

Funding for open access charge: Universidade da Coruña/CISUG[Absctract]: OCT is a non-invasive imaging technique commonly used to obtain 3D volumes of the ocular structure. These volumes allow the monitoring of ocular and systemic diseases through the observation of subtle changes in the different structures present in the eye. In order to observe these changes it is essential that the OCT volumes have a high resolution in all axes, but unfortunately there is an inverse relationship between the quality of the OCT images and the number of slices of the cube. This results in routine clinical examinations using cubes that generally contain high-resolution images with few slices. This lack of slices complicates the monitoring of changes in the retina hindering the diagnostic process and reducing the effectiveness of 3D visualizations. Therefore, increasing the cross-sectional resolution of OCT cubes would improve the visualization of these changes aiding the clinician in the diagnostic process. In this work we present a novel fully automatic methodology to perform the synthesis of intermediate slices of OCT image volumes in an unsupervised manner. To perform this synthesis, we propose a fully convolutional neural network architecture that uses information from two adjacent slices to generate the intermediate synthetic slice. We also propose a training methodology, where we use three adjacent slices to train the network by contrastive learning and image reconstruction. We test our methodology with three different types of OCT volumes commonly used in the clinical setting and validate the quality of the synthetic slices created with several medical experts and using an expert system.This research was funded by Instituto de Salud Carlos III, Government of Spain, DTS18/00136 research project; Ministerio de Ciencia e Innovación Universidades, Government of Spain, RTI2018-095894-B-I00 research project; Ministerio de Ciencia e Innovación, Government of Spain through the research project with reference PID2019-108435RB-I00; Consellería de Cultura, Educación e Universidade, Xunta de Galicia through the postdoctoral, grant ref. ED481B-2021-059; and Grupos de Referencia Competitiva, grant ref. ED431C 2020/24; Axencia Galega de Innovación (GAIN), Xunta de Galicia, grant ref. IN845D 2020/38; CITIC, as Research Center accredited by Galician University System, is funded by “Consellería de Cultura, Educación e Universidade from Xunta de Galicia”, supported in an 80% through ERDF Funds, ERDF Operational Programme Galicia 2014–2020, and the remaining 20% by “Secretaría Xeral de Universidades”, grant ref. ED431G 2019/01. Emilio López Varela acknowledges its support under FPI Grant Program through PID2019-108435RB-I00 project. Funding for open access charge: Universidade da Coruña/CISUG .Xunta de Galicia; ED481B-2021-059Xunta de Galicia; ED431C 2020/24Xunta de Galicia; IN845D 2020/38Xunta de Galicia; ED431G 2019/0

Avant-propos

La présente livraison de la revue Rives nord-méditerranéennes est en grande partie issue de la journée d’études qui s’est déroulée le 2 juin 2006 à la Maison Méditerranéenne des Sciences de l’Homme et qui a été organisée conjointement par l’UMR TELEMME et l’Institut de Recherches et d’Etudes sur le Monde Arabe et Musulman (IREMAM). Intitulée « Les produits textiles en Méditerranée (XVIe - XVIIIe siècle) : production, commercialisation et consommation », cette rencontre scientifique a rassembl..

Standardized spectral and radiometric calibration of consumer cameras

Consumer cameras, particularly onboard smartphones and UAVs, are now commonly used as scientific instruments. However, their data processing pipelines are not optimized for quantitative radiometry and their calibration is more complex than that of scientific cameras. The lack of a standardized calibration methodology limits the interoperability between devices and, in the ever-changing market, ultimately the lifespan of projects using them. We present a standardized methodology and database (SPECTACLE) for spectral and radiometric calibrations of consumer cameras, including linearity, bias variations, read-out noise, dark current, ISO speed and gain, flat-field, and RGB spectral response. This includes golden standard ground-truth methods and do-it-yourself methods suitable for non-experts. Applying this methodology to seven popular cameras, we found high linearity in RAW but not JPEG data, inter-pixel gain variations >400% correlated with large-scale bias and read-out noise patterns, non-trivial ISO speed normalization functions, flat-field correction factors varying by up to 2.79 over the field of view, and both similarities and differences in spectral response. Moreover, these results differed wildly between camera models, highlighting the importance of standardization and a centralized database