622 research outputs found
Interview with Mostafa Moharram
هذه المقابلة مع المؤلف والسيناريست المصري مصطفى محرم. يستعرض كتاباته وأفلامه ، ويؤكد على أهمية السيناريو والكتابات المتخصصة . يشرح دور كاتب السيناريو وهو المسؤول عن خلق عمل فعال وجيد ، وكذلك التعامل بطريقة جيدة مع فريق التمثيل . أجرت المقابلة درية شرف الدينIn this interview, Egyptian author and screenwriter Mostafa Moharram speaks about his movies and the importance of scenarios in creating good work. The interview was conducted by Dorreya Sharaf al-Din
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
Author Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
Detection and Analysis of Epilepsy Biomarkers in Electrocorticography
Author Mostafa MohammadpourDissertation Johannes Kepler Universität Linz 202
Towards a trustworthy data-driven clinical decision support system: breast cancer use-case
Artificial Intelligence (AI) research has emerged as a powerful tool for health-related applications. With the increasing shortage of radiologists and oncologists around the world,
developing an end-to-end AI-based Clinical Decision Support (CDS) system for fatal disease
diagnosis and survivability prediction can have a significant impact on healthcare professionals as well as patients. Such a system uses machine learning algorithms to analyze
medical images and clinical data to detect cancer, estimate its survivability and aid in
treatment planning. We can break the CDS system down into three main components:
the Computer-Aided Diagnosis (CAD), the Computer-Aided Prognosis subsystem (CAP)
and the Computer-Aided Treatment Planning (CATP). The lack of trustworthiness of these
subsystems is still considered a challenge that needs to be addressed in order to increase
their adoption and usefulness in real-world applications. In this thesis, using the breast
cancer use case, we propose new methods and frameworks to address existing challenges
and research gaps in different components of the system to pave the way toward its usage
in clinical practice.
In cancer CAD systems, the first and most important step is to analyze medical images to identify potential tumors in a specific organ. In dense prediction problems like
mass segmentation, preserving the input image resolution plays a crucial role in achieving good performance. However, this resolution is often reduced in current Convolution
Neural Networks (CNN) that are commonly repurposed for this task. In Chapter 3, we
propose a double-dilated convolution module in order to preserve spatial resolution while
having a large receptive field. The proposed module is applied to the tumor segmentation
task in breast cancer mammograms as a proof-of-concept. To address the pixel-level class
imbalance problem in mammogram screenings, different loss functions (i.e., binary crossentropy, weighted cross-entropy, dice loss, and Tversky loss) are evaluated. We address
the lack of transparency in current medical image segmentation models by employing and
quantitatively evaluating different explainability methods (i.e., Grad-CAM, Occlusion Sensitivity, and Activation visualization) for the image segmentation task. Our experimental
analysis shows the effectiveness of the proposed model in increasing the similarity score and
decreasing the miss-detection rate. [...
A comparison of patient cohort discovery tools
The patient cohort discovery tools from UNC Chapel Hill, Harvard and Stanford medical centers are compared in terms of features, access to data and query limitations
L’année de Bacchus d’El Mostafa Bouignane entre devoir de la mémoire et exaltation de la vie
This study will discuss the approach to the structure and narrative composition of the novel entitled L\u27année de Bacchus by Mostafa Bouignane, published by Virgule Editions in 2020. This text adds to a series of stories of which Bouignane constructs a narrative universe to reveal the nature of man who, even submissive and reduced, remains capable of regaining his freedom and leading a peaceful life. Thus, our study will propose an analysis of the ideological and historical dimension of this text representative of the literary experience of the author, then at the end the questioning of his human and moral values
Ketamine versus magnesium sulfate with caudal bupivacaine block in pediatric inguinoscrotal surgery: A prospective randomized observer-blinded study
Introduction: Possible approaches for postoperative analgesia after pediatric inguinoscrotal surgery are caudal block by bupivacaine/ketamine (BK) and bupivacaine/magnesium sulfate (BM).
Aim: The purpose of the following study is to compare the analgesic efficacy and safety of ketamine and magnesium sulfate in combination with bupivacaine for caudal blockade in pediatric patients after inguinoscrotal operations.
Materials and Methods: Patients randomly received one of the two solutions for caudal epidural injection after induction of general anesthesia. Group-BK: Were given a mixture of 0.25% bupivacaine and 0.5 mg/kg of ketamine. Group-BM: Were given a mixture of 0.25% bupivacaine and 50 mg magnesium sulfate. Postoperatively, a blinded post-anesthesia care unit nurse assessed the quality of analgesia with a visual pain analog scale (VPAS). Significant pain is defined as one that has a VAPS of ≥3.
Results: Forty American Society of Anesthesiologists I-II children (20 in each group) completed the study. The two groups were comparable regards age, sex, body mass index, anesthesia and surgery durations, recovery time and sevoflurane concentration. The mean duration of caudal analgesia ± standard deviation was 462 ± 17.2 min versus 398.05 ± 12.9 min for BK and BM groups, receptively (P < 0.001). Supplemental rectal paracetamol within 12 h postoperatively were 15% for BK group versus 25% for BM (P = 0.05). Four patients in BK group only experienced postoperative nausea and vomiting (P = 0.053).
Conclusion: Caudal administration of BK is efficient and safe for pediatric inguinoscrotal operations with longer postoperative analgesia than BM sulfate
Preparation of mesoporous palladium nanoclusters supported over hematite (α-Fe2O3) for selective catalytic hydrogenation of α,β-unsaturated aldehydes
In-situ preparation of sulfonated carbonaceous copper oxide-zirconia nanocomposite as a novel and recyclable solid acid catalyst for reduction of 4-nitrophenol
Abstract The missing-linker defects of UiO-66 were exploited to covalently anchor Cu nanoclusters (Cu/UiO-66). The molecular interactions between the metals and oxides as copper-zirconia interfaces in Cu/UiO-66 are essential for heterogeneous catalysis, leading to remarkable synergistic impacts on activity and selectivity. Homogeneously distributed carbonaceous mixed metal oxides (CuO/ZrO2@C) nanocomposite was prepared via carbonization of the Cu/UiO-66 at 600 °C for 3 h in air. To enhance the acidity properties of the CuO/ZrO2@C nanocomposite, a small amount of sulfuric acid was added and heated at 150 °C under an N2 atmosphere (CuO/ZrO2-SO3H@C). The synthesised Cu/UiO-66 and CuO/ZrO2-SO3H@C catalysts were used as novel catalysts in the reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP). The Cu/UiO-66 and CuO/ZrO2-SO3H@C catalysts displayed complete conversion of the 4-NP solution during (4 and 2 min) stirring at room temperature, respectively. These two catalysts exhibited a high reduction rate of 8.61 × 10–3 s−1, and 18.3 × 10–3 s−1, respectively. The X-ray photoelectron spectroscopic (XPS) analysis showed the charge of copper atoms in the Cu/UiO-66 catalyst was Cu0/CuII and in the CuO/ZrO2-SO3H@C catalyst was CuI/CuII with nearly the same ratio (65/35). The particle size and the elemental composition of the CuO/ZrO2-SO3H@C catalyst were analysed by using high resolution transmission electron microscopy (HR-TEM), and energy-dispersive X-ray spectroscopy (EDS), and elemental mapping, respectively. The key point beyond the high catalytic activity and selectivity of the CuO/ZrO2-SO3H@C catalyst is both the carbon–metal oxides heterojunction structure that leads to good dispersion of the CuO and ZrO2 over the carbon sheets, and the high acidity properties that come from the combination between the Brønsted acid sites from sulfuric acid and Lewis acid sites from the UiO-66. The catalysts exhibited good recyclability efficiency without significant loss in activity, indicating their good potential for industrial applications
Análisis espacio-temporal de eventos de sequía en la cuenca del Río Magdalena – Cauca, Colombia.
Este trabajo de investigación pretende analizar el comportamiento de eventos de sequía en una de las cuencas hidrográficas más importante de Colombia: la macro-cuenca Magdalena-Cauca, conformada por la confluencia de los ríos con el mismo nombre. Inicialmente se exponen diferentes impactos ocasionados por eventos de sequías a nivel mundial, y cómo estos pueden llegar a tener consecuencias devastadoras tanto para los ecosistemas, en términos de flora y fauna, como para el ser humano en diferentes aspectos de su desarrollo. Se mencionan también algunas metodologías implementadas por diferentes autores en diferentes locaciones de la tierra para el análisis de este tipo de eventos extremos, concluyendo con investigaciones similares en la cuenca de estudio escogida. Con lo anterior se definen los objetivos del trabajo de investigación, encaminados a determinar eventos de sequía y sus características para terminar en una discusión propuesta.
Para abordar los objetivos establecidos, se describe inicialmente el área de estudio en cuanto a sus características económicas, geográficas, físicas, e hidroclimatológicas. Se definen también conceptos y metodologías a ser utilizados para el desarrollo de la investigación. Esto es, la definición teórica del modelo hidrológico implementado, así como su montaje conceptual para la obtención de resultados espacial y temporalmente distribuidos en la cuenca mediante información hidrometeorológica a manera de raster; diferentes tipos de sequía; definición de índices de sequía escogidos; características de las sequías y finalmente metodologías adicionales para el análisis espacio-temporal del desarrollo y caracterización de las sequías.
Por último, se plasman los resultados más relevantes de los análisis realizados con las diferentes metodologías. Cabe aclarar que, dado el gran tamaño de la cuenca y el número de celdas analizadas mediante una grilla (análisis espacial), así como la serie temporal escogida (análisis temporal), no todos los resultados son mostrados, puesto que se encuentran almacenados en grandes bases de datos. Se analizan estos resultados, se realizan las conclusiones del estudio y se finaliza proponiendo una discusión para futuros estudios.This research work aims to analyse the behaviour of drought events in one of the most important hydrographic basins in Colombia: the Magdalena-Cauca macro-basin, formed by the confluence of the rivers of the same name. Initially, different impacts caused by drought events worldwide are presented, and how these can have devastating consequences both for ecosystems, in terms of flora and fauna, and for human beings in different aspects of their development. Some methodologies implemented by different authors in different locations on earth for the analysis of this type of extreme events are also mentioned, concluding with similar research in the chosen study basin. With the above, the objectives of the research work are defined, aimed at determining drought events and their characteristics, and ending with a proposed discussion.
In order to address the established objectives, the study area is initially described in terms of its economic, geographical, physical and hydroclimatological characteristics. Concepts and methodologies to be used for the development of the research are also defined. That is, the theoretical definition of the hydrological model implemented, as well as its conceptual assembly to obtain spatially and temporally distributed results in the basin by means of hydrometeorological information as a raster; different types of drought; definition of chosen drought indices; characteristics of the droughts and finally additional methodologies for the spatio-temporal analysis of the development and characterisation of the droughts.
Finally, the most relevant results of the analyses carried out with the different methodologies are presented. It should be clarified that, given the large size of the basin and the number of cells analysed using a grid (spatial analysis), as well as the time series chosen (temporal analysis), not all the results are shown, since they are stored in large databases. These results are analysed, the conclusions of the study are drawn and a discussion for future studies is proposed.Para ver el desarrollo computacional, visitar https://github.com/juancotrino/Drought-analysis-functions/MaestríaMagíster en Ingeniería Civi
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