The aim of this work is to present a novel methodology for fast evaluation of the visual perceptibility of sink marks on surfaces of injection molded parts. Based on previous research work on the ...detection of surface defects, a new model for the calculation of the visibility of sink marks from CCD-images was developed. A new calculated surface model function was used to determine the amplitudes of the second derivatives (ASD) as a measure for the visual perceptibility of sink marks. This model parameter is quickly calculable and, therefore, ideally suited to application in a machine vision system used for in-line quality inspection. In order to test the model parameter, injection molding parts were produced using predefined processing conditions, and the influence of process parameter variation on the visual perceptibility of the sink marks was evaluated.
The management and diagnosis of nasal airway obstruction requires an understanding of the form and function of the nose. Nasal airway obstruction can be structural, physiologic, or a combination of ...both. Anatomic causes of airway obstruction include septal deviation, internal nasal valve narrowing, external nasal valve collapse, and inferior turbinate hypertrophy. Thus, the management of nasal air obstruction must be selective and carefully considered. The goal of surgery is to address the deformity and not just enlarge the nasal cavity.
Controlling the shape of the nasal bones has long been a frustrating problem. Conventional osteotomies are associated with bleeding, loss of reduction, inability to achieve the desired alignment, ...improperly placed osteotomy sites, and spicule formation. A nonpowered osteotomy method empirically provided the safest and most controlled technique to achieve the desired anatomic result. The nasal bones should be thought of as 2 thin nasal plates that can be released from their medial and lateral attachments to become mobile units that can affect the dorsal width and bony base independently. There is a learning curve to osteotomies.
Automated surface inspection is an important task in many manufacturing industries and often requires machine learning driven solutions. Supervised approaches, however, can be challenging, since it ...is often difficult to obtain large amounts of labeled training data. In this work, we instead perform one-class unsupervised learning on fault-free samples by training a deep convolutional neural network to complete images whose center regions are cut out. Since the network is trained exclusively on fault-free data, it completes the image patches with a fault-free version of the missing image region. The pixel-wise reconstruction error within the cut out region is an anomaly image which can be used for anomaly detection. Results on surface images of decorated plastic parts demonstrate that this approach is suitable for detection of visible anomalies and moreover surpasses all other tested methods.
Pan-allergens like profilins, calcium-binding proteins (CBPs), and nonspecific lipid transfer proteins have been suggested as possible specific markers for multiple pollen sensitizations, and could ...be used to predict cross-sensitization/poly-sensitization to several pollen allergens. Therefore, the purification and characterization of cross-reacting allergens in pollen is an extremely important task towards correct allergy diagnosis. New pan-allergens were identified by screening a ragweed pollen cDNA library with sera of patients allergic to mugwort pollen. Resulting proteins were cloned, expressed, purified and characterized. We report complete cDNA sequences of two profilin isoforms (Amb a 8.01 and Amb a 8.02), two isoforms of a 2EF-hand CBP (Amb a 9.01 and Amb a 9.02), a new 3EF-hand CBP (Amb a 10) from ragweed pollen and a 2EF-hand CBP from mugwort (Art v 5). All these proteins were expressed in Escherichia coli, purified to homogeneity and characterized by biochemical and immunological means. The identified proteins are novel pan-allergens and can be used as diagnostic markers for polysensitization and used in component-resolved diagnosis.
PDF
