Presurgical CT Evaluation of Congenital Aural Atresia

Congenital aural atresia occurs in approximately 1 in 10,000‐20,000 births and may be surgically repaired if the middle ear malformation is limited in character. External auditory canal atresia is difficult to repair surgically, with significant risks and complications. Surgical candidacy in congenital aural atresia is based on multiple factors, central to which are the anatomy of the temporal bone and audiometric findings. High-resolution multidetector CT is the imaging technique of choice for anatomy delineation, although there are some specific indications for MR imaging in presurgical assessment. Various CT grading systems have been developed to determine surgical candidacy and are described in this review. The radiologist\u27s understanding and precise evaluation of important anatomic structures is critical in the assessment of surgical candidacy. This review serves to familiarize the radiologist with various abnormalities seen in congenital aural atresia.Learning Objectives: Recognize important CT-based classification systems used to determine surgical candidacy and contraindications to surgery for external auditory canal atresia repair, recognize the embryologic origin, and assess the EAC and ossicles in congenital aural atresia

Antioxidative Activities of Alfalfa and Timothy Varieties

The term functional foods is often used as a generic description for the beneficial effects of ingested foods that go beyond their traditional nutritive value (Bauman et al., 2001). Milk and dairy products are important dietary sources of nutrients, providing energy, high quality protein, and a variety of vitamins and minerals. Recent research has focused on altering the fat and protein content of milk and other dairy products in order to improve their nutrient content to more aptly reflect current dietary recommendations and trends. As a result, additional focus is being given to designing foods that have beneficial effects on human health. This study was carried out to investigate the antioxidative activities of forages grown in Korea

Human microglial cells synthesize albumin in brain

Albumin has been implicated in Alzheimer's disease since it can bind to and transport amyloid beta, the causative agent; albumin is also a potent inhibitor of amyloid beta polymerization. In a pilot phase study of Human Brain Proteome Project, we found evidence that albumin may be synthesized in immortalized human microglial cells, human primary microglial cells, and human fetal and adult brain tissues. We also found the synthesis and secretion is enhanced upon microglial activation by Amyloid [beta]~1-42~, lipopolysaccharide treatment or human Alzheimer's brain

Poly(A) RNA and Paip2 act as allosteric regulators of poly(A)-binding protein

When bound to the 30 poly(A) tail of mRNA, poly(A)binding protein (PABP) modulates mRNA translation and stability through its association with various proteins. By visualizing individual PABP molecules in real time, we found that PABP, containing four RNA recognition motifs (RRMs), adopts a conformation on poly(A) binding in which RRM1 is in proximity to RRM4. This conformational change is due to the bending of the region between RRM2 and RRM3. PABP-interacting protein 2 actively disrupts the bent structure of PABP to the extended structure, resulting in the inhibition of PABP-poly(A) binding. These results suggest that the changes in the configuration of PABP induced by interactions with various effector molecules, such as poly(A) and PABP-interacting protein 2, play pivotal roles in its function.X1143sciescopu

Yield and Nutritive Value of Heading and Headless Sorghum x Sudangrass Hybrids in Response to Cutting Frequency

Summer annual forages contribute greatly toward solving the problem of roughage supply for cattle in Korea. These forages support high levels of dairy and beef production during hot summer months when the quality and production of perennial herbage decreases due to unfavourable climatic conditions (Olson, 1971). This study investigated the effects of cutting frequency on dry matter (DM) yield and nutritive value of heading versus headless varieties of sorghum x sudangrass hybrid

Soft Computing Models for the Development of Commercial Conversational Agents

Proceedings of: 6th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2011). Salamanca, April 6-8, 2011In this paper we present a proposal for the development of conversational agents that, on the one hand, takes into account the benefits of using standards like VoiceXML, whilst on the other, includes a module with a soft computing model that avoids the effort of manually defining the dialog strategy. This module is trained using a labeled dialog corpus, and selects the next system response considering a classification process based on neural networks that takes into account the dialog history. Thus, system developers only need to define a set of VoiceXML files, each including a system prompt and the associated grammar to recognize the users responses to the prompt. We have applied this technique to develop a conversational agent in VoiceXML that provides railway information in Spanish.Funded by projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02- 02/TEC, CAM CONTEXTS (S2009/TIC-1485), and DPS2008-07029-C02-02.Publicad