51 research outputs found
Bracing Adult Scoliosis: From Immobilization to Correction of Adult Scoliosis
Unlike adolescent idiopathic scoliosis, bracing was used in adults less and was used more as a way of reducing pain. There is little publication of adult scoliosis series in the literature. The use of very high-rigidity and high-precision CAD/CAM technologies currently makes it possible to create corrective braces for the adult. The digital CAD/CAM cast in three blocks allows for precise correction at the pelvic, lumbar, and thoracic levels. This chapter presents the results of a series of 62 consecutive adult scoliotic patients treated with a corrective asymmetric detorsion brace of very high rigidity made in 2014–2016. Tolerance and angular correction results will be compared to those of 158 patients treated with the former bivalve polyethylene overlapping immobilization brace mainly used for lumbar scoliosis. The new Lyon adult ARTbrace is a detorsion brace adapted to all the curvatures which controls the sagittal plane. Despite a resistance four times greater than that of polyethylene of the same thickness, the tolerance of the Europlex’O is excellent as it is a “shock absorber,” and the anterior opening facilitates the use for very old people. Consequently, the aim of this chapter is to consider if it is possible to envisage for some patients an alternative to surgery, thanks to the new technologies of bracing
Underwater archaeological mosaicing
Archaeological mosaicing is one of the challenges of the computer vision community and it can be faced in a 2D or 3D approach. This contribution regards a methodology to do a mosaic of an underwater bi-dimensional scene. A number of problems arise from the acquisition of images by a remote operated vehicle. Radial distortion, poor luminosity, cloud water, presence of artefacts are part of the issues that can occur; for instance, the radial distortion has been corrected to improve the quality of the input images. Keypoints detection (through SIFT transform), Singular Value Decomposition, Random Samples Consensus are some of the techniques applied in our method. This contribution regards the mosaicing of seabed landscapes, in order to represent higher resolution photos of whole sites with wrecks in a fast and safe fashion. A stereo vision system has been arranged by adding two cameras to the payload aboard a Remotely Operated Vehicle. A number of problems arise due to poor luminosity, cloudy water, water distortion and presence of artifacts. A robust algorithm has been deÂŻned to reduce the radial distortion of the camera lenses and to enhance the results
Simvastatin Rapidly and Reversibly Inhibits Insulin Secretion in Intact Single-Islet Cultures
open10Epidemiological studies suggest that statins may promote the development or exacerbation of diabetes, but whether this occurs through inhibition of insulin secretion is unclear. This lack of understanding is partly due to the cellular models used to explore this phenomenon (cell lines or pooled islets), which are non-physiologic and have limited clinical transferability.openScattolini, Valentina; Luni, Camilla; Zambon, Alessandro; Galvanin, Silvia; Gagliano, Onelia; Ciubotaru, Catalin Dacian; Avogaro, Angelo; Mammano, Fabio; Elvassore, Nicola; Fadini, Gian PaoloScattolini, Valentina; Luni, Camilla; Zambon, Alessandro; Galvanin, Silvia; Gagliano, Onelia; Ciubotaru, CATALIN DACIAN; Avogaro, Angelo; Mammano, Fabio; Elvassore, Nicola; Fadini, GIAN PAOL
High-Intensity Ultrasonication as an Innovative Approach for the Softening of Wooden Breast Meat in Broilers
Considering the remarkable implications exerted by the occurrence of wooden breast (WB) abnormality on meat tenderness and marketability, the poultry processing industry demands the implementation of postmortem procedures that can improve the textural traits of chicken breasts affected by this defect. Within this scenario, this study aimed at exploring the effectiveness of high-intensity ultrasonication (HIU) in attenuating the toughness of WB fillets and evaluating its effects on the main technological properties and quality characteristics of chicken breast meat. Overall outcomes showed that HIU significantly reduced (P<0.01) the compression forces of both unaffected and WB raw meat without negatively affecting the main meat quality traits and technological properties, such as color and water holding capacity. The significant (P<0.05) increase in myofibrillar fragmentation index (MFI) observed in unaffected fillets might hint at an alteration of myofibril integrity following the mechanical action of ultrasonic waves. However, despite the effectiveness of HIUin improving the textural traits of raw WB meat, overall outcomes obtained through western blot and MFI analyses suggested that HIU did not remarkably alter the microstructure of myopathic muscles. The myodegenerative lesions typically occurring in WB muscles may have partially disguised the mechanical effects of ultrasonic waves on muscle cells’ structures, making the elucidation of the mechanisms that lead to the softening of WB meat particularly complex
Tailoring haemophilia A prophylaxis with BAY 81-8973: A case series
BAY 81-8973 is an unmodified, full-length third generation recombinant factor VIII (rFVIII) which offers a more favorable pharmacokinetic (PK) profile, compared to its predecessor sucrose-formulated rFVIII (rFVIII-FS). We here report on a retrospective case series of nine patients affected by hemophilia A (HA), with variable disease severity, bleeding phenotype and comorbidities, to underline our clinical practice on prophylaxis with a recently introduced standard hall-life recombinant Factor VIII. The current case series highlights how the current clinical management of hemophilia is able to personalize treatment in several specific conditions like concomitant illnesses with thrombotic risk and allergic reactions
Epithelial-to-mesenchymal transition in pancreas adenocarcinoma cells: effect of 2D versus 3D arrangement
It was shown that three-dimensional (3D) cell cultures allow mimicking the functions of living tissues and provide pivotal information encoded in the tissue architecture [1]. Considered the primary role of epithelial-to-mesenchymal transition (EMT) in carcinoma progression [2], we aimed at investigating the effect of the 3D arrangement on the expression of some key markers of EMT in cultured human pancreas adenocarcinoma cells (PDAC). HPAC cells were cultured in both two-dimensional (2D) monolayers and in 3D spheroids, and were analyzed by morphological and molecular approaches. Immunofluorescence analysis for E-cadherin, β-catenin, actin, vimentin and collagen type I was performed on cells grown on 12 mm coverslips or on free-floating spheroids after 4% paraformaldehyde fixation. E-cadherin gene expression was assessed by real time PCR. Fluorescence and confocal microscopy analysis revealed that the E-cadherin/β-catenin complex was similarly expressed at the cell boundaries on the plasma membrane in 2D monolayers as well as in the 3D spheroids. Phalloidin-stained F-actin was mainly arranged into cortical actin filaments while vimentin was undetectable, suggesting an epithelial-like phenotype for HPAC cells in 2D and 3D arrangement. Interestingly, after 3D arrangement decreased E-cadherin mRNA levels and some cells expressing collagen type I were observed in spheroids. Our findings suggest that the 3D arrangement induced the expression of mesenchymal phenotype-related markers in HPAC cells, providing a model to better understand the biology of PDAC
Rapporto tecnico sulle attività di campionamento della “Campagna Oceanografica CISAS_2” Crotone 07-12 dicembre 2017
Le attività di campionamento ed acquisizione dati svolte durante la campagna CISAS_2 si inseriscono in seno al progetto “Centro internazionale di studi avanzati su ambiente ed impatti su ecosistema e salute umana (CISAS)” del CNR. L’obiettivo principale del progetto CISAS è la comprensione dei processi e dei meccanismi di trasferimento di alcuni contaminanti convenzionali (metalli pesanti, POPs, radionuclidi, ecc.) e di alcuni contaminanti emergenti (PDBE, composti farmaceutici di nuova generazione, ecc.) dall’ambiente inteso come l’insieme di atmosfera-suoli-acque sotterranee-matrici marine (acque e sedimento) all’ecosistema e all’uomo. Le aree di indagine del progetto sono i Siti di Interesse Nazionale (SIN) di Priolo, Milazzo-Pace del Mela e Crotone che, per specificità e modalità di impatto antropogenico sull’ambiente, l’ecosistema e la salute umana, coprono un ampio spettro di tipologie di interesse. La campagna oceanografica CISAS_ 2 è stata dedicata alla caratterizzazione ambientale del SIN di Crotone, nonché all’identificazione delle sorgenti dei contaminanti la cui distribuzione si ritiene di interesse (per i valori di concentrazione riscontrati nelle diverse matrici ambientali e per livello di tossicità associata agli effetti degli stessi sulla salute dell’ecosistema e dell’uomo) e i pathways di deposizione nelle aree di interesse
Validation of the Quantitative Checklist for Autism in Toddlers in an Italian Clinical Sample of Young Children With Autism and Other Developmental Disorders.
Background: The Quantitative Checklist for Autism in Toddlers (Q-CHAT) is parent-report screening questionnaire for detecting threshold and sub-threshold autistic features in toddlers. The Q-CHAT is a dimensional measure normally distributed in the general population sample and is able to differentiate between a group of children with a diagnosis of autism and unselected toddlers. Objectives: We aim to investigate the psychometric properties, score distribution, and external validity of the Q-CHAT in an Italian clinical sample of young children with autism versus children with developmental delay and typically developing children. Method: N = 126 typically developing children (TD), n = 139 children with autism, and n = 50 children presenting developmental delay (DD) were administered the Q-CHAT. Standardized measures of cognitive functions, language, and behaviors were also obtained. Results: The Q-CHAT scores were normally distributed and demonstrated adequate internal consistency and good item to total score correlations. The mean Q-CHAT score in the autism group was significantly higher than those found in the DD sample and TD children. No difference on the mean Q-CHAT score between DD and TD children was found. The accuracy of the Q-CHAT to discriminate between autism and TD was very good. Two different cut-points (27 and 31, respectively) maximized sensitivity and specificity for autism versus TD and DD, respectively. Finally, higher Q-CHAT scores were correlated with lower language and social communication skills. Conclusions: In clinical settings, the Q-CHAT demonstrated good psychometric properties and external validity to discriminate autism children not just from children with typical development but also from children with developmental delay
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Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening.
In the past two decades, several screening instruments were developed to detect toddlers who may be autistic both in clinical and unselected samples. Among others, the Quantitative CHecklist for Autism in Toddlers (Q-CHAT) is a quantitative and normally distributed measure of autistic traits that demonstrates good psychometric properties in different settings and cultures. Recently, machine learning (ML) has been applied to behavioral science to improve the classification performance of autism screening and diagnostic tools, but mainly in children, adolescents, and adults. In this study, we used ML to investigate the accuracy and reliability of the Q-CHAT in discriminating young autistic children from those without. Five different ML algorithms (random forest (RF), naĂŻve Bayes (NB), support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN)) were applied to investigate the complete set of Q-CHAT items. Our results showed that ML achieved an overall accuracy of 90%, and the SVM was the most effective, being able to classify autism with 95% accuracy. Furthermore, using the SVM-recursive feature elimination (RFE) approach, we selected a subset of 14 items ensuring 91% accuracy, while 83% accuracy was obtained from the 3 best discriminating items in common to ours and the previously reported Q-CHAT-10. This evidence confirms the high performance and cross-cultural validity of the Q-CHAT, and supports the application of ML to create shorter and faster versions of the instrument, maintaining high classification accuracy, to be used as a quick, easy, and high-performance tool in primary-care settings
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Use of Machine Learning to Investigate the Quantitative Checklist for Autism in Toddlers (Q-CHAT) towards Early Autism Screening.
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