Total and regional body fat status among children and young people with cerebral palsy: A scoping review

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151256/1/cob12327_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151256/2/cob12327.pd

Binary and nonbinary description of hypointensity for search and retrieval of brain MR images

Diagnosis accuracy in the medical field, is mainly affected by either lack of sufficient understanding of some diseases or the inter/intra-observer variability of the diagnoses. We believe that mining of large medical databases can help improve the current status of disease understanding and decision making. In a previous study based on binary description of hypointensity in the brain, it was shown that brain iron accumulation shape provides additional information to the shape-insensitive features, such as the total brain iron load, that are commonly used in clinics. This paper proposes a novel, nonbinary description of hypointensity in the brain based on principal component analysis. We compare the complementary and redundant information provided by the two descriptions using Kendall's rank correlation coefficient in order to better understand the individual descriptions of iron accumulation in the brain and obtain a more robust and accurate search and retrieval system

Challenges associated with formal education in rural areas, Policy brief Rural NEET Youth Network

The youth demographic in rural areas continues to experience a global decline despite significant efforts from both national and international organisations to downturn this ne gative trend. Such efforts aim to create conditions for learning as well as opportunities that can enable young people to develop knowledge, skills, and competencies. Despite the economic recovery trends of recent years (before the COVID-19 pandemic), young people continue to be particularly vulnerable and especially during times of crisis. Youth disengagement from the labour market can lead to economic loss, demotivation, margina lisation, and be reflected in challenges such as a lack of qualifications, health issues, poverty, and other forms of social exclusion. To address such challenges, it is vital that a detailed understan ding of youth needs is developed. This work should be based on heterogeneous characteristics (personal vs institutional) that include (although not limited to) socio-economic, demographic, financial, technical, and institutional perspectives. This information should subsequently inform both future policy-making and decision-making processes

Multispectral images of peach related to firmness and maturity at harvest

wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm and 450 nm). R/IR histograms were able to correct the effect of 3D shape on light reflectance and thus more Gaussian histograms were produced than R images. As fruits ripened, the R/IR histograms showed increasing levels of intensity. Reference measurements such as firmness and visible spectra also varied significantly as the fruit ripens, firmness decreased while reflectance at 680 nm increased (chlorophyll absorption peak)

Classification d'expressions vocales passives versus actives

Six expressions sont généralement considérées pour caractériser les états émotifs humains : Sourire, Surprise, Colère, Tristesse, dégoût et Neutre. Différentes mesures peuvent être extraites à partir du signal de parole pour caractériser ces expressions, à savoir la fréquence fondamentale, l'énergie, le SPI (rapport des énergies des HF et des BF dans le signal) et le débit de parole. Une classification automatique des cinq expressions basées sur ces caractéristiques présente des conflits entre la Colère, la Surprise et le Sourire d'une part et le Neutre et la Tristesse d'autre part. Ce conflit entre classes d'expressions est également retrouvé chez le classifieur humain. Nous proposons donc de définir deux classes d'expressions: Active regroupant le Sourire, la Surprise et la Colère et Passive regroupant le Neutre et la Tristesse. Une telle classification est également plus réaliste et plus appropriée pour l'intégration d'information de parole dans un système de classification multimodale combinant la parole et la vidéo, ce qui est à long terme le but de notre travail. Dans ce papier, différentes méthodes de classification sont testées: un classifieur Bayésien, une Analyse Discriminante Linéaire (ADL), le classifieur au K plus proches vosins(KNN) et un classifieur à Machine à Vecteur de Support (SVM) avec une fonction de base gaussienne. Pour les deux classes considérées, les meilleurs taux de classification sont obtenus avec le classificateur SVM avec un taux de reconnaissance de 89.74% pour l'état Actif et de 86.54 % pour l'état Passif

Biomedical image time series registration with particle filtering (Parçacık süzgeci ile biyomedikal görüntü zaman serisi çakıştırma)

We propose a family of methods for biomedical image time series registration based on Particle filtering. The first method applies an intensity-based information-theoretic approach to calculate importance weights. An effective second group of methods use landmark-based approaches for the same purpose by automatically detecting intensity maxima or SIFT interest points from image time series. A brute-force search for the best alignment usually produces good results with proper cost functions, but becomes computationally expensive if the whole search space is explored. Hill climbing optimizations seek local optima. Particle filtering avoids local solutions by introducing randomness and sequentially updating the posterior distribution representing probable solutions. Thus, it can be more robust for the registration of image time series. We show promising preliminary results on dendrite image time series

The subchondral bone in articular cartilage repair: current problems in the surgical management

As the understanding of interactions between articular cartilage and subchondral bone continues to evolve, increased attention is being directed at treatment options for the entire osteochondral unit, rather than focusing on the articular surface only. It is becoming apparent that without support from an intact subchondral bed, any treatment of the surface chondral lesion is likely to fail. This article reviews issues affecting the entire osteochondral unit, such as subchondral changes after marrow-stimulation techniques and meniscectomy or large osteochondral defects created by prosthetic resurfacing techniques. Also discussed are surgical techniques designed to address these issues, including the use of osteochondral allografts, autologous bone grafting, next generation cell-based implants, as well as strategies after failed subchondral repair and problems specific to the ankle joint. Lastly, since this area remains in constant evolution, the requirements for prospective studies needed to evaluate these emerging technologies will be reviewed

Aptitud combinatoria para parámetros de calidad de fibra y los componentes de producción de cápsulas en poblaciones intraespecíficas e interespecíficas de algodón

The major problem with the simultaneous improvement of yield with higher fiber quality is the negative association due to the linkage and pleiotropic effects between lint yield components and fiber quality parameters. The objectives of this research were to estimate the general combining ability (GCA) of parents and specific combining abilities (SCA) of hybrids for fiber quality parameters and within-boll yield components, and to determine the association of fiber quality parameters with basic within-boll lint yield components. In this study, eight cotton cultivars and 15 F1 hybrids obtained by crossing five lines and three testers in the line x tester mating system during 2006 were planted in a randomized block design with four replications in 2007. The predominance of non-additive gene action was estimated for all traits except for the upper half mean fiber length (UHM), fiber strength, and seeds per boll, which were controlled by an additive type gene action due to the high GCA variance. Among the parents, 'Askabat-100' and 'Carmen' were the best general combiners for fiber length, strength, and uniformity index (UI). Additionally, 'GW Teks' and 'Sahin-2000' were determined to be good combiners for lint weight per seed (L/S) and spinnable fibers per seed (F/S). The SCA effects showed that the best specific combination was 'Sealand-542' x 'Sahin-2000' and 'TAM 94L-25' x 'SG-125' for lint percentage, L/S, and lint weight unit per seed surface area. The most important fiber quality parameters, UHM, fiber strength, and UI, were negatively associated with the most basic within-boll lint yield components, L/S, and F/S.El principal problema para la mejora simultánea de la producción y la obtención de fibra de alta calidad en el algodón es la asociación negativa entre la producción de fibra y los parámetros de calidad de la misma debido al ligamiento y los efectos pleitrópicos. Los objetivos de este trabajo fueron estimar la aptitud combinatoria general (GCA) de los parentales y la aptitud combinatoria específica (SCA) de los híbridos para los parámetros de calidad de fibra y los componentes de producción de la cápsula del algodón, así como determinar la asociación entre los parámetros de calidad de fibra con componentes básicos de producción de fibra. En este estudio, se plantaron ocho cultivares de algodón y 15 híbridos F1 en 2007, en un diseño de bloques al azar con cuatro repeticiones. Los híbridos F1 fueron obtenidos en 2006 por cruzamientos de 5 líneas y 3 testigos mediante un sistema de cruce línea x testigo. Se estimó la predominancia de la acción génica no aditiva para todos los caracteres excepto para la longitud de la mitad superior de la fibra (UHM), resistencia de la fibra y semillas por cápsula, que fueron controlados por una acción génica de tipo aditivo debido a una varianza GCA alta. Entre los parentales, 'Askabat-100' y 'Carmen' fueron los que presentaron la mejor aptitud GCA para longitud de fibra, resistencia e índice de uniformidad (UI). Además, se determinó que 'GWTeks' y 'Sahin-2000' presentaron una buena aptitud combinatoria general para peso de fibra por semilla (L/S) y fibras por semilla (F/S). Los efectos SCA mostraron que las mejores combinaciones específicas fueron los cruces: 'Sealand-542' x 'Sahin-2000' y 'TAM 94L-25' x 'SG-125' para porcentaje de fibra, L/S, y unidad de peso de fibra por área de superficie de semilla. Los parámetros de calidad de fibra más importantes (UHM, resistencia de fibra y UI) estaban negativamente asociados con la mayoría de los componentes básicos de producción de fibra en cápsula (L/S y F/S)