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Harmony or Discordance between Sacramental and Liturgical Theology?
(MDPI, 2024)
Gutiérrez, Sebastián
This paper aims to show a way of approximating between liturgical studies and sacramental theology, trying to undo a too formal separation between the two sciences. The paramount cause is to be found at the request of Sacrosanctum Concilium, starting from the link between the two to achieve a greater and more fruitful participation of those faithful to the sacraments. In the words of Card. Ratzinger, this request has not been fully met. The dichotomy and relationship between the notions of theoria and praxis in both sciences are presented as the need for a solid foundation or philosophical frame of reference with a metaphysical or realistic background, attending to the problems raised by the International Theological Commission in the document on “The Reciprocity between Faith and Sacraments in the Sacramental Economy” (1999). The pathway is open, some solutions are proposed, and an attempt is made to show the importance of this subject for the understanding of man himself and his Christian life.
10
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Mutation profile in liquid biopsy tested by next generation sequencing in Mexican patients with non-small cell lung carcinoma and its impact on survival
(AME Publishing Company, 2024)
Martínez-Herrera, José Fabián
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Sánchez Domínguez, Gisela
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Juárez-Vignon Whaley, Juan J.
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Carrasco-Cara Chards, Sonia
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López Vrátný, Claudia
Background: Lung cancer represents a significant global health concern, often diagnosed in its advanced stages. The advent of massive DNA sequencing has revolutionized the landscape of cancer treatment by enabling the identification of target mutations and the development of tailored therapeutic approaches. Unfortunately, access to DNA sequencing technology remains limited in many developing countries. In this context, we emphasize the critical importance of integrating this advanced technology into healthcare systems in developing nations to improve treatment outcomes. Methods: We conducted an analysis of electronic clinical records of patients with confirmed advanced non-small cell lung cancer (NSCLC) and a verified negative status for the epidermal growth factor receptor (EGFR) mutation. These patients underwent next-generation sequencing (NGS) for molecular analysis. We performed descriptive statistical analyses for each variable and conducted both univariate and multivariate statistical analyses to assess their impact on progression-free survival (PFS) and overall survival (OS). Additionally, we classified genetic mutations as actionable or non-actionable based on the European Society for Medical Oncology Scale of Clinical Actionability of Molecular Targets (ESCAT) guidelines. © 2024 AME Publishing Company. All rights reserved.
8 1
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A Framework for Mars Sample Return: Who Gets Access and What Issues Must Be Addressed
(2022)
Seltikova, Ekaterina
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Zarate-Villazon, Ángel M.
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Balaji, Anirudh
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De Winter, Bram
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García González, Brenda
The space industry is in an age where we are beginning to look at human exploration on the surface of other planets. Leading the charge is the NASA-ESA collaboration of the Mars Sample Return campaign to bring samples back from the surface of Mars via robotic missions ahead of future crewed missions to Mars. As exciting as it is knowing that one day soon humans will have physical access to a Martian sample, there are many questions regarding sample policy that must be addressed besides the extensive work of research organizations like COSPAR and MEPAG. This work is done under the auspices of the Space Generation Advisory Council by young scientists and engineers which were part of the Space Generation Congress (SGC) 2021 Mars Sample Return working group. Using a foundation of the current and past sample return policy framework, we focus, from a science and engineering point of view, on how it is decided which research projects are most important and how to engage the different categories of stakeholders. This paper recommends a Mars sample return framework that takes into account these aforementioned issues. Furthermore, we are addressing questions such as: how do we guarantee findings are disseminated sufficiently, and how do we ensure that sample protection measures are adhered to? With the importance of commercial Martian space explorations in the future, the paper will address questions for both commercial and institutional exploration missions. Additionally, with the growing capacities of space emerging nations, such a framework shall consider mechanisms to foster equal opportunities for all nations to benefit from future Martian exploration endeavors. By the end of this paper, a first draft of such an equitable Mars sample return framework will be proposed and additional concerns that need to be addressed will be highlighted. © 2022 by the International Astronautical Federation (IAF). All rights reserved.
9 1
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Review of system controller for smart homes/building applications
(2017)
Gutiérrez, Sebastián
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Alvarez, J.
22 1
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Predicting climate conditions using Internet-of- Things and artificial hydrocarbon networks
(2017)
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Gutiérrez, Sebastián
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Montoya Pacheco, Alejandro
The prediction and understanding of environmental conditions is of great importance to prevent and analyze changes in environment, supporting meteorological based sectors, such as agriculture. In that sense, this paper presents an Internet of Things (IoT) system for predicting climate conditions, i.e. temperature, using artificial intelligence by means of a supervised learning method, the artificial hydrocarbon networks model. It allows predicting the temperature of remote locations using information from a web service comparing it with a field temperature sensor. Experimental results of the supervised learning model are presented in two modes: offline training to detect the suitable parameters of the model and testing to validate the model with new data retrieval from the web service. Preliminary results conclude that artificial hydrocarbon networks model predicts remote temperature with mean error of 0.05°c in testing mode. © 2018 IMEKO-International Measurement Federation Secretariat. All rights reserved.
12 2
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Surgical repair of right atrial wall rupture after blunt chest trauma
(2012-08)
Telich, Eduardo
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Anaya-Ayala, Javier E.
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Gutiérrez, Sebastián
Right atrial wall rupture after blunt chest trauma is a catastrophic event associated with high mortality rates. We report the case of a 24-year-old woman who was ejected 40 feet during a motor vehicle accident. Upon presentation, she was awake and alert, with a systolic blood pressure of 100 mmHg. Chest computed tomography disclosed a large pericardial effusion; transthoracic echocardiography confirmed this finding and also found right ventricular diastolic collapse. A diagnosis of cardiac tamponade with probable cardiac injury was made; the patient was taken to the operating room, where median sternotomy revealed a 1-cm laceration of the right atrial appendage. This lesion was directly repaired with 4-0 polypropylene suture. Her postoperative course was uneventful, and she continued to recover from injuries to the musculoskeletal system. This case highlights the need for a high degree of suspicion of cardiac injuries after blunt chest trauma. An algorithm is proposed for rapid recognition, diagnosis, and treatment of these lesions.
Scopus© Citations 9 14 1
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Geolocation system of fire monitoring station through Lorawan
(2020)
Gutiérrez, Sebastián
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Luna, Pedro
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The evolution of the Internet of Things (IoT) over the last few years has a growing outcome, where LoRaWAN™ based solutions have a remarkable increase in its quality and innovation. This evolvement is pushing the integration of new capabilities, such as real-time responsiveness, resilient systems, massive management of devices, geolocation, tracking, and smarter notification systems. The current work presents a design and an implementation proposal of a LoRaWAN™ solution to monitor the probability of existing fire in a given location. This application is capable of integrating the above-mentioned features by exploiting the benefits of LoRaWAN™ protocol and its capability to interact with cloud services. The system makes use of The Thing Network (TTN) as LoRa™ Network Server (LNS), LoRa™ cloud Geolocation Services for tracking, Amazon Web Service Elastic Cloud Computing (AWS EC2) as a container of the application, and advanced features of Go programming language for the rest of features such as notifications, dashboards and data operations as extraction, transformation and load (ETL). ©2006-2021 Asian Research Publishing Network (ARPN). All rights reserved.
49 2
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Automatic classification of coronary stenosis using convolutional neural networks and simulated annealing
(CRC Press, 2022)
Gutiérrez, Sebastián
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Cruz-Aceves, Ivan
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Fernandez-Jaramillo, Arturo Alfonso
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Automatic detection of coronary stenosis plays an essential role in systems that perform computer-aided diagnosis in cardiology. Coronary stenosis is a narrowing of the coronary arteries caused by plaque that reduces the blood flow to the heart. Automatic classification of coronary stenosis images has been re-cently addressed using deep and machine learning techniques. Generally, the machine learning methods form a bank of empirical and automatic features from the angiographic images. In the present work, a novel method for the automatic classification of coronary stenosis X-ray images is presented. The method is based on convolutional neural networks, where the neural architecture search is performed by using the path-based metaheuristics of simulated annealing. To perform the neural architecture search, the maximization of the F1-score metric is used as the fitness function. The automatically generated convolutional neural network was compared with three deep learning methods in terms of the accuracy and F1-score metrics using a testing set of images obtaining 0.88 and 0.89, respectively. In addition, the proposed method was evaluated with different sets of coronary stenosis images obtained via data augmentation. The results involving a number of different instances have shown that the proposed architecture is robust preserving the efficiency with different datasets © 2023 Şaban öztürk. All rights reserved.
53 1
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Watermarked cardiac CT image segmentation using deformable models and the Hermite transform
(2015)
Gomez-Coronel, Sandra L.
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Escalante-Ramírez, Boris
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Gutiérrez, Sebastián
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Romero, Eduardo
Medical image watermarking is an open area for research and is a solution for the protection of copyright and intellectual property. One of the main challenges of this problem is that the marked images should not differ perceptually from the original images allowing a correct diagnosis and authentication. Furthermore, we also aim at obtaining watermarked images with very little numerical distortion so that computer vision tasks such as segmentation of important anatomical structures do not be impaired or affected. We propose a preliminary watermarking application in cardiac CT images based on a perceptive approach that includes a brightness model to generate a perceptive mask and identify the image regions where the watermark detection becomes a difficult task for the human eye. We propose a normalization scheme of the image in order to improve robustness against geometric attacks. We follow a spread spectrum technique to insert an alphanumeric code, such as patient's information, within the watermark. The watermark scheme is based on the Hermite transform as a bio-inspired image representation model. In order to evaluate the numerical integrity of the image data after watermarking, we perform a segmentation task based on deformable models. The segmentation technique is based on a vector-value level sets method such that, given a curve in a specific image, and subject to some constraints, the curve can evolve in order to detect objects. In order to stimulate the curve evolution we introduce simultaneously some image features like the gray level and the steered Hermite coefficients as texture descriptors. Segmentation performance was assessed by means of the Dice index and the Hausdorff distance. We tested different mark sizes and different insertion schemes on images that were later segmented either automatic or manual by physicians.
Scopus© Citations 4 11 1
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IoT system prototype based on LoRa and the Orion Context Broker data model of FIWARE
(2021)
Diana L. Hernandez
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Juan Arias
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Daniel Villanueva
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Gutiérrez, Sebastián
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Isidro Zavaleta
34 1

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