Clinical utility of abdominal multidetector CT in 85 goats with suspected abdominal disease.

Diagnosing the cause of abdominal disease in goats can be challenging. Clinical history, physical investigation, and laboratory findings do not always allow definitive identification of intra-abdominal disease or the underlying cause. Multidetector CT (MDCT) has become more readily available and now often replaces or augments other abdominal imaging techniques. The objective of this retrospective, observational, descriptive study was to investigate the clinical utility of MDCT for evaluation of the abdomen in goats with suspected abdominal disease involving the urinary, gastrointestinal, reproductive tracts and abdominal wall. Medical records (1/2009-12/2017) were reviewed for all goats undergoing an abdominal MDCT. Signalment, clinical history, examination and MDCT findings and outcome were recorded and categorized by abdominal organ system and wall lesion. Clinical problems and MDCT findings were compared in the various abdominal categories. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic odds ratio (OR) were calculated for MDCT, using clinical examination findings as the reference standard. A total of 85 goats underwent an abdominal MDCT examination. The sensitivity of MDCT for detecting urinary, gastrointestinal, reproductive tract, and abdominal wall abnormalities in goats with clinical problems related to these body systems was high at 94.7 %, 78.3%, 94.1%, and 100%, and the specificity was high at 95.6%, 96.7%, 93.9%, and 100%, respectively. The PPV was 94.7%, 90.0 %, 80.0%, and 100.0%, the NPV was 95.6%, 92.1%, 98.4%, and 100%, and the OR were 387.0, 104.4, 248.0, and infinite. In conclusion, findings supported the use of MDCT as an adjunct diagnostic test for assessing goats with abdominal disease.

Comparison of Thoracic Radiography and Computed Tomography in Calves with Naturally Occurring Respiratory Disease.

OBJECTIVE: To evaluate the severity and extent of lung disease using thoracic computed radiography (CR) compared to contrast-enhanced multi-detector computed tomography (MDCT) of the thorax in calves with naturally occurring respiratory disease and to evaluate the feasibility and safety of performing contrast-enhanced thoracic multi-detector MDCT examinations in sedated calves. Furthermore, to evaluate if combining CR or MDCT with respiratory scoring factors will improve prediction of the chronicity of pulmonary disease in calves. ANIMALS: Thirty Jersey heifer calves ranging in age between 25 and 89 days with naturally occurring respiratory disease. PROCEDURES: All calves were evaluated via thoracic CR and contrast-enhanced MDCT. All calves were euthanized immediately following thoracic MDCT and submitted for necropsy. Imaging and histopathology results were compared with each other. RESULTS: Thoracic MDCT was superior for evaluation of pneumonia in calves due to the lack of summation in all areas of the lungs. Intravenously administered sedation provided an adequate plane of sedation for acquiring MDCT images of diagnostic quality, without the need for re-scanning. A diagnosis of pneumonia was made with equal rate on both thoracic CR and MDCT. Although mild differences in classification of lung pattern and extent of lung disease were seen when comparing an experienced and a less experienced evaluator, the overall differences were not statistically significant. The best intra- and inter-observer agreement was noted when evaluating the cranioventral aspects of the lungs in either modality. Clinical respiratory scoring is inadequate for diagnosing chronicity of pneumonia in calves with naturally occurring pneumonia. CONCLUSION AND CLINICAL IMPORTANCE: Both imaging modalities allowed diagnosis of pneumonia in calves. The cranial ventral aspects of the lungs were most commonly affected. Thoracic CR and MDCT provided similar diagnostic effectiveness in diagnosing pneumonia. However, MDCT provided better assessment of subtle details, which may be otherwise obscured due to summation artifact.

An Overview of Biomolecular Event Extraction from Scientific Documents.

This paper presents a review of state-of-the-art approaches to automatic extraction of biomolecular events from scientific texts. Events involving biomolecules such as genes, transcription factors, or enzymes, for example, have a central role in biological processes and functions and provide valuable information for describing physiological and pathogenesis mechanisms. Event extraction from biomedical literature has a broad range of applications, including support for information retrieval, knowledge summarization, and information extraction and discovery. However, automatic event extraction is a challenging task due to the ambiguity and diversity of natural language and higher-level linguistic phenomena, such as speculations and negations, which occur in biological texts and can lead to misunderstanding or incorrect interpretation. Many strategies have been proposed in the last decade, originating from different research areas such as natural language processing, machine learning, and statistics. This review summarizes the most representative approaches in biomolecular event extraction and presents an analysis of the current state of the art and of commonly used methods, features, and tools. Finally, current research trends and future perspectives are also discussed.

Histology image search using multimodal fusion.

This work proposes a histology image indexing strategy based on multimodal representations obtained from the combination of visual features and associated semantic annotations. Both data modalities are complementary information sources for an image retrieval system, since visual features lack explicit semantic information and semantic terms do not usually describe the visual appearance of images. The paper proposes a novel strategy to build a fused image representation using matrix factorization algorithms and data reconstruction principles to generate a set of multimodal features. The methodology can seamlessly recover the multimodal representation of images without semantic annotations, allowing us to index new images using visual features only, and also accepting single example images as queries. Experimental evaluations on three different histology image data sets show that our strategy is a simple, yet effective approach to building multimodal representations for histology image search, and outperforms the response of the popular late fusion approach to combine information.

Effect of feeding selenium-fertilized alfalfa hay on performance of weaned beef calves.

Selenium (Se) is an essential micronutrient in cattle, and Se-deficiency can affect morbidity and mortality. Calves may have greater Se requirements during periods of stress, such as during the transitional period between weaning and movement to a feedlot. Previously, we showed that feeding Se-fertilized forage increases whole-blood (WB) Se concentrations in mature beef cows. Our current objective was to test whether feeding Se-fertilized forage increases WB-Se concentrations and performance in weaned beef calves. Recently weaned beef calves (n = 60) were blocked by body weight, randomly assigned to 4 groups, and fed an alfalfa hay based diet for 7 wk, which was harvested from fields fertilized with sodium-selenate at a rate of 0, 22.5, 45.0, or 89.9 g Se/ha. Blood samples were collected weekly and analyzed for WB-Se concentrations. Body weight and health status of calves were monitored during the 7-wk feeding trial. Increasing application rates of Se fertilizer resulted in increased alfalfa hay Se content for that cutting of alfalfa (0.07, 0.95, 1.55, 3.26 mg Se/kg dry matter for Se application rates of 0, 22.5, 45.0, or 89.9 g Se/ha, respectively). Feeding Se-fertilized alfalfa hay during the 7-wk preconditioning period increased WB-Se concentrations (P Linear<0.001) and body weights (P Linear = 0.002) depending upon the Se-application rate. Based upon our results we suggest that soil-Se fertilization is a potential management tool to improve Se-status and performance in weaned calves in areas with low soil-Se concentrations.

Road map and principles for built environment sustainability.

The built environment, defined by the facilities and civil infrastructure systems that people use, is the fundamental foundation upon which a society exists, develops, and survives. As the main provider and the life cycle custodian of the built environment, the Architecture, Engineering, and Construction (AEC) industry plays a critical role in determining the quality, integrity, and longevity of this foundation. In the execution of these two roles, provider and custodian, the AEC industry has had a major direct and indirect impact on the natural environment, contributing both directly and indirectly to natural resource depletion and degradation, waste generation and accumulation, and environmental impact and degradation. These impacts are not unique to the AEC industry. Other industries face similar challenges, and for many years, a wide range of constituencies within them have been attempting the implementation of the concept of sustainability within what these industries do, how they do it, and with what as a possible mechanism to slow, reduce, eliminate these impacts, and even restore conditions to a better state. In the pursuit of sustainability, the AEC industry faces challenges posed by the unique attributes and characteristics nature of facilities and civil infrastructure systems, the complexities of the current processes for their delivery and use, and the diverse set of resources required for both their delivery and their use. This paper offers a road map and an initial set of principles to implement built environment sustainability as a starting point for an ongoing, industry-wide dialogue and debate.