860 resultados para Feature nasal


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Different types of network oscillations occur in different behavioral, cognitive, or vigilance states. The rodent hippocampus expresses prominentoscillations atfrequencies between 4 and 12Hz,which are superimposed by phase-coupledoscillations (30 –100Hz).These patterns entrain multineuronal activity over large distances and have been implicated in sensory information processing and memory formation. Here we report a new type of oscillation at near- frequencies (2– 4 Hz) in the hippocampus of urethane-anesthetized mice. The rhythm is highly coherent with nasal respiration and with rhythmic field potentials in the olfactory bulb: hence, we called it hippocampal respiration-induced oscillations. Despite the similarity in frequency range, several features distinguish this pattern from locally generatedoscillations: hippocampal respiration-induced oscillations have a unique laminar amplitude profile, are resistant to atropine, couple differentlytooscillations, and are abolished when nasal airflow is bypassed bytracheotomy. Hippocampal neurons are entrained by both the respiration-induced rhythm and concurrent oscillations, suggesting a direct interaction between endogenous activity in the hippocampus and nasal respiratory inputs. Our results demonstrate that nasal respiration strongly modulates hippocampal network activity in mice, providing a long-range synchronizing signal between olfactory and hippocampal networks.

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Durante su ciclo de vida las tortugas marinas están expuestas a muchos peligros, cada año mueren al ser capturadas accidentalmente en las redes de pesca, víctimas de la pérdida de hábitat de áreas de alimentación y anidación, debido al desarrollo costero e incremento del turismo, lo anterior ha ocasionado que se les considere como especies en peligro o amenazadas de extinción. La mayoría de las enfermedades de las tortugas marinas aún no han sido descritas; por lo que es necesario conocer las bacterias que se encuentran presente en el organismo y los posibles vectores de enfermedades. El objetivo del presente estudio fue determinar la composición de la flora bacteriana en el área nasal y cloacal de las tortugas marinas Lepidochelys olivacea durante su época de anidación entre los meses de junio a octubre del año 2012, se colectaron muestras bacteriológicas provenientes de 20 hembras anidantes mediante recorridos nocturnos en tres playas El Faro, El Cocal y Salinitas pertenecientes al Área Natural Protegida Complejos Los Cóbanos Departamento de Sonsonate, El Salvador. Las muestras se colectaron a través del uso de hisopos estériles que se introdujeron en la cloaca durante el desove y en uno de los conductos nasales. Estas fueron trasladadas en al laboratorio de Biología de la Universidad de El Salvador en menos de 24 horas para su posterior análisis. En el laboratorio las muestras nasales fueron cultivadas en agar sangre, MacConkey y agar manitol sal, las cloacales fueron cultivadas en agar sangre, MacConkey, TCBS y XLD, a todas las colonias aisladas se les realizaron pruebas bioquímicas rutinarias IMVIC. Además se utilizó API 20E.

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Resumen La conidiobolomicosis es una enfermedad causada por Conidiobolus spp. que afecta a varias especies de animales, incluyendo ovinos, llamas, ciervos, caballos, perros y humanos. En ovinos se caracteriza por lesiones granulomatosas en la cavidad nasal. Aunque la enfermedad es endémica en distintas regiones de Brasil, aún no ha sido reportada en Uruguay. El objetivo de este trabajo es describir un caso de conidiobolomicosis nasal en una oveja en Uruguay y proveer una breve revisión bibliográfica. El caso ocurrió en marzo del 2015 en una oveja de 19 meses de edad en un establecimiento ubicado en el departamento de Colonia. Los principales signos clínicos fueron debilidad, secreción nasal, obnubilación, torneo y exoftalmos unilateral. Los principales hallazgos patológicos fueron rinosinusitis granulomatosa necrotizante localmente extensiva, afectando la región posterior de la cavidad nasal, con desplazamiento del tabique nasal y osteítis necrotizante/osteolítica de los huesos faciales, con extensión al tejido subcutáneo facial y espacio retro-ocular derechos. Microscópicamente se constató la presencia de hifas intralesionales, identificadas por inmunohistoquímica como Conidiobolus spp., rodeadas por material de Splendore-Hoeppli. Se concluye que la conidiobolomicosis ocurre esporádicamente en Uruguay y que debe ser considerada dentro de los diagnósticos diferenciales de rinitis en ovinos en este País

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Tesis (Zootecnista). -- Universidad de La Salle. Facultad de Ciencias Agropecuarias. Programa de Zootecnia, 2014

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Background: Respiratory distress syndrome (RDS) is one of the most common diseases in neonates admitted to NICU. For this important cause of morbidity and mortality in preterm neonates, several treatment methods have been used. To date, non-invasive methods are preferred due to fewer complications. Objectives: Herein, two non-invasive methods of ventilation support are compared: NCPAP vs. NIPPV. Patients and Methods: This is a randomized clinical trial. Premature neonates with less than 34 weeks gestation, suffering from RDS entered the study, including 151 newborns admitted to Vali-Asr NICU during 2012-2013. Most of these patients received surfactant as early rescue via INSURE method and then randomly divided into two NCPAP (73 neonates) and NIPPV (78 neonates) groups. Both early and late complications are compared including extubation failure, hospital length of stay, GI perforation, apnea, intraventricular hemorrhage (IVH) and mortality rate. Results: The need for re-intubation was 6% in NIPPV vs. 17.6% in NCPAP group, which was statistically significant (P = 0.031). The length of hospital stay was 23.92 ± 13.5 vs. 32.61 ± 21.07 days in NIPPV and NCPAP groups, respectively (P = 0.002). Chronic lung disease (CLD) was reported to be 4% in NCPAP and 0% in NIPPV groups (P = 0.035). The most common complication occurred in both groups was traumatization of nasal skin and mucosa, all of which fully recovered. Gastrointestinal perforation was not reported in either group. Conclusions: This study reveals the hospital length of stay, re-intubation and BPD rates are significantly declined in neonates receiving NIPPV as the treatment for RDS.

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Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.

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This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.

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info:eu-repo/semantics/publishedVersion

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This paper describes a novel algorithm for tracking the motion of the urethra from trans-perineal ultrasound. Our work is based on the structure-from-motion paradigm and therefore handles well structures with ill-defined and partially missing boundaries. The proposed approach is particularly well-suited for video sequences of low resolution and variable levels of blurriness introduced by anatomical motion of variable speed. Our tracking method identifies feature points on a frame by frame basis using the SURF detector/descriptor. Inter-frame correspondence is achieved using nearest-neighbor matching in the feature space. The motion is estimated using a non-linear bi-quadratic model, which adequately describes the deformable motion of the urethra. Experimental results are promising and show that our algorithm performs well when compared to manual tracking.

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The Late Variscan deformation event in Iberia, is characterized by an intraplate deformation regime induced by the oblique collision between Laurentia and Gondwan. This episode in Iberia is characterized by NNE-SSW strike-slip faults, which are considered by the classic works as sinistral strike-slips. However, the absence of Mesozoic formations constraining the age of this sinistral kinematics, led some authors to consider it as the result of Alpine reworking. Structural studies in Almograve and Ponta Ruiva sectors (SW Portugal), not only shows that NNE-SSW faults presents a clear sinistral kinematics and are occasionally associated with E-W dextral shears, but also that this kinematics is related to the late deformation episodes of Variscan Orogeny. In Almograve sector, the late Variscan structures are characterized by NNE-SSW sinistral kink-bands, spatially associated with E-W dextral faults. These structures are contemporaneous and affect the previously deformed Carboniferous units. The Ponta Ruiva Sector constrains the age of deformation because the E-W dextral shears affect the Late Carboniferous (late Moscovian) units, but not the overlying Triassic series. The new exposed data shows that the NNE-SSW and the E-W faults are dynamically associated and results from the same deformation event. The NNE-SSW sinistral faults could be considered as second order dominoes structures related with first order E-W dextral shears, related with Laurasia-Gondwana collision during Late Carboniferous-Permian Times.

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This article reports the findings into patterns of governance on nonprofit boards in Australia. The research surveys 118 boards, upon which serve a total of 1405 directors. The findings indicate that nonprofit boards can mimic some aspects of a shareholder approach to governance. But nonprofit boards, in the main, indicate priorities and activities of a stakeholder approach to governance. The features of `isomorphism' that arise largely stem from legislative requirements in corporate governance. Generally, nonprofit directors are influenced by agenda and motivations that can be differentiated from the influences upon director activity in the corporate sector. The study indicates that nonprofit boards prize knowledge and loyalty to the sector when considering board composition. The survey suggests nonprofits ``compensate'' for the demands placed upon them about fiduciary duty and due diligence responsibilities with the diverse intellectual expertise of non-executive directors. Nonprofit boards possess greater diversity than boards in the corporate sector; they include more women as directors than corporate boards and they include a greater proportion of directors from minority groups. While strategic issues feature significantly as a task of the nonprofit board, they distinguish themselves from their corporate counterparts by engaging in operational management. The findings indicate that, in the main, directors on nonprofit boards deliberate and operate in ways distinctive from their corporate counterparts. Such findings offer a contribution to the reform of Corporations Law in other countries and the likely consequence on boards outside the corporate sector.

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The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data. HOS phase features retain phase information from the Fourier spectrum unlikeMel–frequency Cepstral coefficients (MFCC). Gaussian mixture models are constructed from Mel– Cepstral features and HOS features, respectively, for the same data from various speakers in the Switchboard telephone Speech Corpus. Feature clusters, model parameters and classification performance are analyzed. HOS phase features on their own provide a correct identification rate of about 97% on the chosen subset of the corpus. This is the same level of accuracy as provided by MFCCs. Cluster plots and model parameters are compared to show that HOS phase features can provide complementary information to better discriminate between speakers.