68 resultados para CHP
Resumo:
Myxozoans evoke important economic losses in aquaculture production, but there is almost a total lack of disease control methods as no vaccines or commercial treatments are currently available. Knowledge of the immune responses that lead to myxozoan elimination and subsequent disease resistance is vital for shaping the future development of disease control measures. Different fish immune factors triggered by myxozoan parasites are reviewed in this chapter. Detailed information on the phenotypic and underlying molecular aspects of innate and adaptive responses, at both cellular and humoral levels, is provided for some well-studied fishmyxozoan systems. The importance of the local immune response, mainly at mucosal sites, is also highlighted. Myxozoan tactics to disable or avoid immune responses, such as modulation of immune gene transcription and immune evasion, are also reviewed. The existence of innate and acquired resistance to some myxozoan species suggest promising possibilities for controlling myxozooses through immune-based strategies, such as genetic selection for host resistance, vaccination, immune therapies and administration of immunostimulants.
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Patient-specific biomechanical models including local bone mineral density and anisotropy have gained importance for assessing musculoskeletal disorders. However the trabecular bone anisotropy captured by high-resolution imaging is only available at the peripheral skeleton in clinical practice. In this work, we propose a supervised learning approach to predict trabecular bone anisotropy that builds on a novel set of pose invariant feature descriptors. The statistical relationship between trabecular bone anisotropy and feature descriptors were learned from a database of pairs of high resolution QCT and clinical QCT reconstructions. On a set of leave-one-out experiments, we compared the accuracy of the proposed approach to previous ones, and report a mean prediction error of 6% for the tensor norm, 6% for the degree of anisotropy and 19◦ for the principal tensor direction. These findings show the potential of the proposed approach to predict trabecular bone anisotropy from clinically available QCT images.
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Nearly 10 years ago the usefulness of poly(ADP-ribose) polymerase (PARP) inhibitors to kill BRCA1 or BRCA2-deficient cells was reported, and this finding has served as a prime example of the concept of synthetic lethality in the context of anticancer therapy. The clinical translation of this finding has undergone several ups and downs, however. Despite spectacular responses seen in some patients with BRCA-deficient breast or ovarian cancers, other patients did not show the expected benefit from PARP inhibitor therapy. Thus, like for all novel tailored anti-cancer drugs, upfront and secondary resistance remain major hurdles in the implementation of the initial preclinical finding. We know at least one clinically relevant mechanism of PARP inhibitor resistance: the reversion of BRCA function by secondary mutations. Nevertheless, it is also clear that this mechanism does not explain all cases of resistance. At the moment, we only have a poor understanding of BRCA reversion-independent resistance mechanisms. Preclinical data have pointed in several directions, e.g. increased drug efflux, reduced drug target levels, or alternative DNA repair. Here, we discuss these mechanisms with a focus on potential DNA repair adaptations.
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The rotator cuff is a complex musculotendinous unit, which plays a major role in glenohumeral joint stability and mobilization. Tears of the rotator cuff tendon and its subsequent changes of the rotator cuff muscle are common, and the incidence increases with age. Several structures such as the muscle, tendon, and bone may contribute to the development of a tear as well as on the outcome following a rotator cuff repair. Knowledge of these structures may help to improve rotator cuff healing after rotator cuff tear. The goal of this chapter is to discuss the evidence which exists with regard to the pathophysiological changes in the muscle, tendon, and bone that lead to a rotator cuff rupture as well as the changes that occur in these structures after a tear has occurred.
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Acetabular retroversion is the result of an externally rotated hemipelvis rather than a focal overgrowth of the anterior wall and/or hypoplasia of the posterior wall. Acetabular retroversion is a cause of pincer impingement which, if left untreated, can lead to hip pain and osteoarthritis. The causal surgical treatment in hips with acetabular retroversion is acetabular reorientation with a reverse periacetabular osteotomy (PAO). Indication is based on a positive correlation among symptoms (typically groin pain), physical findings on examination (positive anterior impingement test and decreased flexion and internal rotation), and radiographic signs for acetabular retroversion. These include a positive crossover, posterior wall, and ischial spine sign. A reverse PAO is performed with four osteotomies and a controlled fracture. Unlike reorientation of the acetabular fragment in dysplastic hips, correction for acetabular retroversion is achieved by a combined extension and internal rotation of the acetabular fragment. Typically, a small supra-acetabular wedge resection is required to allow sufficient extension of the fragment. The quality of acetabular reorientation is evaluated by intraoperative AP pelvic radiographs. In addition, intraoperative testing of range of motion following acetabular reorientation is mandatory. An arthrotomy and offset correction of the femoral head-neck area is indicated in hips with decreased internal rotation following acetabular reorientation. In a 10-year follow-up study of reverse PAO, a favorable outcome with preservation of all native joints was found. Correct acetabular orientation and, if necessary, a concomitant offset correction were the keys of successful outcome.
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In this chapter the basic aspects helping to understand the microbiome in terms of quantity, diversity, complexity, function, and interaction with the host are discussed. First the nomenclature, definitions of taxa, and measures of diversity as well as methods to unravel this kingdom are outlined. A brief summary on its physiological relevance for general health and the functions exerted specifically by the microbiome is presented. Differences in the composition of the microbiome along the gastrointestinal tract and across the gut wall and its interindividual variations, enterotypes, and stability are highlighted. The reader will be familiarized with all different modulators impacting on the microbiome, namely, intrinsic and extrinsic factors. Intrinsic factors include gastrointestinal secretions (gastric acid, bile, pancreatic juice, mucus), antimicrobial peptides, motility, enteric nervous system, and host genotype. Extrinsic factors are mainly dietary choices, hygiene, stress, alcohol consumption, exercise, and medications. The second part of the chapter focuses on quantitative and qualitative changes in microbiome in liver cirrhosis. The mechanisms contributing to dysbiosis, small intestinal bacterial overgrowth, and bacterial translocation are delineated underscoring their role for the liver-gut axis.
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This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are used to extract features from dialogue transcripts: maximum entropy classifiers for dialogue acts, latent semantic analysis for topic segmentation, or decision tree classifiers for discourse markers. A rule-based approach is proposed for solving cross-modal references to meeting documents. The methods are trained and evaluated thanks to a common data set and annotation format. The integration of the components into an automated shallow dialogue parser opens the way to multimodal meeting processing and retrieval applications.
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We present a novel surrogate model-based global optimization framework allowing a large number of function evaluations. The method, called SpLEGO, is based on a multi-scale expected improvement (EI) framework relying on both sparse and local Gaussian process (GP) models. First, a bi-objective approach relying on a global sparse GP model is used to determine potential next sampling regions. Local GP models are then constructed within each selected region. The method subsequently employs the standard expected improvement criterion to deal with the exploration-exploitation trade-off within selected local models, leading to a decision on where to perform the next function evaluation(s). The potential of our approach is demonstrated using the so-called Sparse Pseudo-input GP as a global model. The algorithm is tested on four benchmark problems, whose number of starting points ranges from 102 to 104. Our results show that SpLEGO is effective and capable of solving problems with large number of starting points, and it even provides significant advantages when compared with state-of-the-art EI algorithms.
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This work deals with parallel optimization of expensive objective functions which are modelled as sample realizations of Gaussian processes. The study is formalized as a Bayesian optimization problem, or continuous multi-armed bandit problem, where a batch of q > 0 arms is pulled in parallel at each iteration. Several algorithms have been developed for choosing batches by trading off exploitation and exploration. As of today, the maximum Expected Improvement (EI) and Upper Confidence Bound (UCB) selection rules appear as the most prominent approaches for batch selection. Here, we build upon recent work on the multipoint Expected Improvement criterion, for which an analytic expansion relying on Tallis’ formula was recently established. The computational burden of this selection rule being still an issue in application, we derive a closed-form expression for the gradient of the multipoint Expected Improvement, which aims at facilitating its maximization using gradient-based ascent algorithms. Substantial computational savings are shown in application. In addition, our algorithms are tested numerically and compared to state-of-the-art UCB-based batchsequential algorithms. Combining starting designs relying on UCB with gradient-based EI local optimization finally appears as a sound option for batch design in distributed Gaussian Process optimization.
Resumo:
Several tests for the comparison of different groups in the randomized complete block design exist. However, there is a lack of robust estimators for the location difference between one group and all the others on the original scale. The relative marginal effects are commonly used in this situation, but they are more difficult to interpret and use by less experienced people because of the different scale. In this paper two nonparametric estimators for the comparison of one group against the others in the randomized complete block design will be presented. Theoretical results such as asymptotic normality, consistency, translation invariance, scale preservation, unbiasedness, and median unbiasedness are derived. The finite sample behavior of these estimators is derived by simulations of different scenarios. In addition, possible confidence intervals with these estimators are discussed and their behavior derived also by simulations.
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Im Jahre 1879 stellte Paul Ehrlich erstmals eine starke Affinität einer bis dahin namenlosen, als grobkörnig granuliert (Wharton 1846) beschriebenen Blutzelle für den Farbstoff Eosin fest. Dieses Färbeverhalten war in der Folge namensgebend für den Eosinophilen (Ehrlich 1879).
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Early diagnosis of patients with compensated advanced chronic liver disease (cACLD) and portal hypertension is challenging in clinical practice. A growing amount of evidence regarding noninvasive diagnostic methods, and in particular liver stiffness measurement (LSM), suggests that these tools could be used in clinical practice and might potentially limit the use of invasive, reference diagnostic tools (HVPG measurement and endoscopy). Our panel aimed at better understanding the opinion of the Baveno faculty regarding the current practice and use of invasive and noninvasive methods in the field of screening and surveillance of varices; a specific questionnaire was electronically sent to all the faculty members. The results suggested that the experts agreed on the use of noninvasive methods to rule out/identify patients with cACLD. They also indicated that the persistence or removal of the causal agent which led to cirrhosis should guide the choice of using the shortest or the longest interval among those recommended for surveillance endoscopies. Finally, the use of noninvasive methods in these clinical scenarios was pointed out as a relevant field for future research.
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The introduction of transient elastography in clinical practice has allowed the early identification of patients with chronic liver disease (CLD) at risk of developing clinically significant portal hypertension (CSPH) (1b;A).
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The Center for Orbit Determination in Europe (CODE) is contributing as a global Analysis center to the International GNSS Service (IGS) since many years. The processing of GPS and GLONASS data is well established in CODE’s ultra-rapid, rapid, and final product lines. With the introduction of new signals for the established and new GNSS, new challenges and opportunities are arising for the GNSS data management and processing. The IGS started the Multi-GNSS-EXperiment (MGEX) in 2012 in order to gain first experience with the new data formats and to develop new strategies for making optimal use of these additional measurements. CODE has started to contribute to IGS MGEX with a consistent, rigorously combined triple-system orbit solution (GPS, GLONASS, and Galileo). SLR residuals for the computed Galileo satellite orbits are of the order of 10 cm. Furthermore CODE established a GPS and Galileo clock solution. A quality assessment shows that these experimental orbit and clock products allow even a Galileo-only precise point positioning (PPP) with accuracies on the decimeter- (static PPP) to meter-level (kinematic PPP) for selected stations.
Resumo:
Welchen berulichen Status haben junge Erwachsene in der Schweiz zehn Jahre nach Beendigung der obligatorischen Schule im Alter von durchschnittlich 26 Jahren erreicht – und welche Faktoren beeinlussen ihn? Wie nehmen junge Erwachsene ihren Status im Vergleich zum elterlichen wahr und wie, denken sie, wird er sich in Zukunt noch verändern? Diese Forschungsfragen werden auf der Basis der TREE-Daten (Transitionen von der Erstausbildung ins Erwerbsleben) analysiert. Die Ergebnisse dieses Beitrags zeigen, dass viele 26-Jährige den elterlichen Status bereits erreicht haben, in Zukunt aber noch mit einem weiteren Statusanstieg rechnen. Askriptive Merkmale wie Geschlecht, soziale Herkunt und Migrationshintergrund sowie der auf Sekundarstufe I besuchte Schultyp haben unter sonst vergleichbaren Bedingungen über den ganzen Bildungsverlauf hinweg einen bedeutsamen Einluss auf den berulichen Status. Dies deutet einerseits auf eine vergleichsweise hohe Status-“Vererblichkeit“ zwischen den Generationen hin, andererseits auf erhebliche Verletzungen des meritokratischen Prinzips, wonach für den Bildungserfolg und die erreichte Position in der Gesellschat vor allem die individuelle Leistung massgeblich sein sollte.