Trust Levels Definition on Virtual Learning Platforms Through Semantic Languages

Trust level concept is a topic that has opened a knowledge area about the profile evaluation and the people participation in Social Networks. These have presented a high knowledge profit, but at the same time it is necessary to analyze a group of variables to determine the trust participants' degree. In addition, this is a topic that from some years ago has been presenting a big expectation to settle some alternatives to generate confidence in an activer community on internet. To establish these parameters it is important to define a model to abstract some variables that are involved in this process. For this, it is relevant to take into account the semantic languages as one of the alternatives that allow these kinds of activities. The purpose of this article is to analyze the Trust Levels definition in the contents that are shared on Open Source Virtual learning Platforms through the use of a model of representation of semantic languages. The last ones allow determining the trust in the use of learning objects that are shared in this kind of platforms

An Overview of Ocean Climate Change Indicators: Sea Surface Temperature, Ocean Heat Content, Ocean pH, Dissolved Oxygen Concentration, Arctic Sea Ice Extent, Thickness and Volume, Sea Level and Strength of the AMOC (Atlantic Meridional Overturning Circulation)

Global ocean physical and chemical trends are reviewed and updated using seven key ocean climate change indicators: (i) Sea Surface Temperature, (ii) Ocean Heat Content, (iii) Ocean pH, (iv) Dissolved Oxygen concentration (v) Arctic Sea Ice extent, thickness, and volume (vi) Sea Level and (vii) the strength of the Atlantic Meridional Overturning Circulation (AMOC). The globally averaged ocean surface temperature shows a mean warming trend of 0.062 ± 0.013 ºC per decade over the last 120 years (1900–2019). During the last decade (2010–2019) the rate of ocean surface warming has accelerated to 0.280 ± 0.068 ºC per decade, 4.5 times higher than the long term mean. Ocean Heat Content in the upper 2,000 m shows a linear warming rate of 0.35 ± 0.08 Wm-2 in the period 1955–2019 (65 years). The warming rate during the last decade (2010–2019) is twice (0.70 ± 0.07 Wm-2) the warming rate of the long term record. Each of the last six decades have been warmer than the previous one. Global surface ocean pH has declined on average by approximately 0.1 pH units (from 8.2 to 8.1) since the industrial revolution (1770). By the end of this century (2100) ocean pH is projected to decline additionally by 0.1-0.4 pH units depending on the RCP (Representative Concentration Pathway) and SSP (Shared Socioeconomic Pathways) future scenario. The time of emergence of the pH climate change signal varies from 8 to 15 years for open ocean sites, and 16-41 years for coastal sites. Global dissolved oxygen levels have decreased by 4.8 petamoles or 2% in the last 5 decades, with profound impacts on local and basin scale habitats. Regional trends are varying due to multiple processes impacting dissolved oxygen: solubility change, respiration changes, ocean circulation changes and multidecadal variability. Arctic sea ice extent has been declining by -13.1% per decade in summer (September) and by -2.6% per decade in winter (March) during the last 4 decades (1979–2020). The combined trends of sea ice extent and sea ice thickness indicate that the volume of non-seasonal Arctic Sea Ice has decreased by 75% since 1979. Global mean sea level has increased in the period 1993–2019 (the altimetry era) at a mean rate of 3.15 0.3 mm year-1 and is experiencing an acceleration of ~ 0.084 (0.06–0.10) mm year-2. During the last century (1900–2015; 115y) global mean sea level (GMSL) has rised 19 cm, and near 40% of that GMSL rise has taken place since 1993 (22y). Independent proxies of the evolution of the Atlantic Meridional Overturning Circulation (AMOC) indicate that AMOC is at its weakest for several hundreds of years and has been slowing down during the last century. A final visual summary of key ocean climate change indicators during the recent decades is provided.Versión del edito

The global integrated world ocean assessment: linking observations to science and policy across multiple scales

In 2004, the United Nations (UN) General Assembly approved a Regular Process to report on the environmental, economic and social aspects of the world's ocean. The Regular Process for Global Reporting and Assessment of the State of the Marine Environment, including Socioeconomic Aspects produced the first global integrated assessment of the marine environment in December 2016 (known as the first World Ocean Assessment). The second assessment, to be delivered in December 2020, will build on the baselines included in the first assessment, with a focus on establishing trends in the marine environment with relevance to global reporting needs such as those associated with the UN Sustainable Development Goals. Central to the assessment process and its outputs are two components. First, is the utilization of ocean observation and monitoring outputs and research to temporally assess physical, chemical, biological, social, economic and cultural components of coastal and marine environments to establish their current state, impacts currently affecting coastal and marine environments, responses to those impacts and associated ongoing trends. Second, is the knowledge brokering of ocean observations and associated research to provide key information that can be utilized and applied to address management and policy needs at local, regional and global scales. Through identifying both knowledge gaps and capacity needs, the assessment process also provides direction to policy makers for the future development and deployment of sustained observation systems that are required for enhancing knowledge and supporting national aspirations associated with the sustainable development of coastal and marine ecosystems. Input from the ocean observation community, managers and policy makers is critical for ensuring that the vital information required for supporting the science policy interface objectives of the Regular Process is included in the assessment. This community white paper discusses developments in linking ocean observations and science with policy achieved as part of the assessment process, and those required for providing strategic linkages into the future.Agência financiadora - United Nations Division for Ocean Affairs and the Law of the Seainfo:eu-repo/semantics/publishedVersio

Características clínicas respiratorias, y valores de gasometría arterial en la fase post aguda de pacientes con neumonía por covid-19 al momento del alta hospitalaria en el nosocomio Antonio Lorena del Cusco, de enero a mayo 2021

Antecedentes: Los primeros estudios sobre La Fase Post Aguda de Covid-19 aparecen a final del 2020, consideran que el tiempo de esta fase inicia después de las 3 semanas de iniciado el cuadro clínico. Moreno O. et al demuestran que síndrome agudo post Covid-19, como principal característica la está presente hasta en 50% de pacientes recuperados de Covid-19. Ani N. et al. Mencionan en su estudio que 66% de pacientes presentan persistencia de síntomas mayor a 3 semanas de iniciado el cuadro clínico. Métodos: La investigación del presente trabajo es de tipo observacional, analítico, retrospectivo y transversal. Tomando los datos de pacientes hospitalizados con dos diagnósticos: 1) Neumonía Atípica por Covid-19 detectada por PCR o prueba antigénica, 2) Insuficiencia Respiratoria Aguda en pacientes del Hospital Antonio Lorena durante Enero a Mayo del 2021. La muestra fueron 142 pacientes que tenían ambos diagnósticos y fueron dados de alta hospitalaria, poseían una evolución clínica y gasometría actualizada dentro de sus últimos días de estancia hospitalaria. Resultados: Con un total de 142 pacientes identificados en este estudio se determinó que el 61% (87 pacientes) se encontraban en la fase post aguda de Covid-19 al momento del alta hospitalaria. Dentro de este grupo de pacientes se determinó que las características clínicas respiratorias más relevantes fueron el dolor torácico en 73 (51.4% del total), tos en 72 (50.2% del total) y disnea hasta en 58 (40.8% del total) de los pacientes al momento del alta hospitalaria en esta fase post aguda. También se observó algún grado de hipoxemia hasta en 42.2 % de los pacientes y 40.1% fueron dados de alta con oxígeno domiciliario. Conclusiones: Se concluye que después de padecer una fase aguda de neumonía por SARS Cov-2, existe la persistencia de alteraciones respiratorias que pueden permanecer posteriores a las 3 semanas del inicio de síntomasBackground: The first studies on the Post Acute Phase of Covid-19 appear at the end of 2020, they consider that the time of this phase begins after 3 weeks from the beginning of the clinical. Moreno O. et al show that post-Covid-19 acute syndrome, as the main characteristic dyspnea is present in up to 50% of patients recovered from Covid-19. Ani N. et al. They mention in their study that 66% of patients have persistence of symptoms greater than 3 weeks after the onset of the clinical. Methods: The investigation of the present work is an observational, analytical, retrospective and transversal type. Taking the data of hospitalized patients with two diagnoses: 1) Atypical Pneumonia due to Covid-19 detected by PCR or antigenic test, 2) Acute Respiratory Failure in patients at the Antonio Lorena Hospital during January to May 2021. The sample was 142 patients who had both diagnoses and they were discharged from hospital, they had a clinical evolution and updated blood gas analysis within the last days of hospital stay. Results: With a total of 142 patients identified in this study, it was determined that 61% (87 patients) were in the post-acute phase of Covid-19 at the time of hospital discharge. Within this group of patients, it was determined that the most relevant respiratory clinical characteristics were chest pain in 73 (51.4% of the total), cough in 72 (50.2% of the total) and dyspnea in up to 58 (40.8% of the total) of the patients. patients at the time of hospital discharge in this post-acute phase. Some degree of hypoxemia was also found in up to 42.2% of the patients and 40.1% were discharged with home oxygen. Conclusions: It is concluded that after suffering an acute phase of SARS Cov-2 pneumonia, there is the persistence of respiratory alterations that can remain after 3 weeks of the onset of symptom

Chiari Syndrome: Advances in Epidemiology and Pathogenesis: A Systematic Review

Arnold Chiari Syndrome; Hydrocephalus; ScoliosisSíndrome de Arnold Chiari; Hidrocefalia; EscoliosisSíndrome d'Arnold Chiari; Hidrocefàlia; EscoliosiArnold Chiari syndrome is a rare congenital disease of unknown prevalence and whose origin is still under study. It is encompassed within the posterior cranial malformations, showing a wide spectrum of symptomatology that can range from severe headache, dizziness, and paresthesia to complete asymptomatology. It is for this reason that early diagnosis of the disease is difficult, and it is usually diagnosed in adolescence. Treatment is based on remodeling and decompression of the malformed posterior cranial fossa, although the risk of residual symptoms after surgery is high. The aim of this review is to update all the existing information on this pathology by means of an exhaustive analysis covering all the scientific literature produced in the last 5 years. In addition, it has been carried out following the PRISMA model and registered in PROSPERO with code CRD42023394490. One of the main conclusions based on the results obtained in this review is that the origin of the syndrome could have a genetic basis and that the treatment of choice is the decompression of the posterior cerebral fossa

Trust Levels Definition On Virtual Learning Platforms Through Semantic Languages

Trust level concept is a topic that has opened a knowledge area about the profile evaluation and the people participation in Social Networks. These have presented a high knowledge profit, but at the same time it is necessary to analyze a group of variables to determine the trust participants’ degree.In addition, this is a topic that from some years ago has been presenting a big expectation to settle some alternatives to generate confidence in an activer community on internet. To establish these parameters it is important to define a model to abstract some variables that are involved in this process. For this, it is relevant to take into account the semantic languages as one of the alternatives that allow these kinds of activities. The purpose of this article is to analyze the Trust Levels definition in the contents that are shared on Open Source Virtual learning Platforms through the use of a model of representation of semantic languages. The last ones allow determining the trust in the use of learning objects that are shared in this kind of platform

(4-Nitrophenyl)methyl 2,3-dihydro-1H-pyrrole-1-carboxylate: crystal structure and Hirshfeld analysis

In the title compound, C12H12N2O4, the dihydropyrrole ring is almost planar (r.m.s. deviation = 0.0049 A ˚ ) and is nearly coplanar with the adjacent C2O2 residue [dihedral angle = 4.56 (9˚)], which links to the 4-nitrobenzene substituent [dihedral angle = 4.58 (8˚)]. The molecule is concave, with the outer rings lying to the same side of the central C2O2 residue and being inclined to each other [dihedral angle = 8.30 (7˚)]. In the crystal, supramolecular layers parallel to (105) are sustained by nitrobenzene-C—H...O(carbonyl) and pyrrole-C—H...O(nitro) interactions. The layers are connected into a three- dimensional architecture by π(pyrrole)–π(nitrobenzene) stacking [inter-centroid separation = 3.7414 (10) A ˚ ] and nitro-O...π(pyrrole) interactions

Desarrollo de una herramienta para la evaluación de los examen tipo test y sus aplicaciones en la mejora de la calidad y en los criterios de evaluación de estos exámenes

Depto. de Radiología, Rehabilitación y FisioterapiaFac. de MedicinaFALSEsubmitte

Teaching image and video processing with a practical cases-based methodology at the University of Alicante

At universities, the courses about computer vision and image processing have been usually taught using a classical methodology based on textbooks, notes and practical exercises which are explained on a blackboard, although sometimes the teachers use video projector and PC presentations for showing slides with static contents; mainly slides with text, figures and photos. However, this teaching model is focused in teacher instead of students and consequently, this approach is not effective when the teacher seeks to achieve cognitive objectives which involve a student's critical thinking. That is, student should be able to develop skills such as acquired knowledge about how filters, operators, methods and techniques for image processing are implemented by computer vision software libraries. Besides, student should be motived to use that background in order to solve practical and real problems in which it is advisable both a study and an analysis of features based on image processing. This manuscript will present the development, implementation, and assessment of a practical-cases-based engineering course, more specifically in image and video processing course at the University of Alicante. All course lectures and hands-on laboratory activities have the main goal that student acquires not only image-specific technical skills but also general knowledge in data analysis to discover phenomena in pixel regions of images and video frames. This way, our teaching-learning process accomplishes both knowledge assimilation and skill developments using a strategy continuous evaluation. In addition, this work will present a learning analysis based on a comparison of student results by considering the prior knowledge (at the beginning) and acquired knowledge as well as experience (at the end of the course) in issues related to specific subject. The image and video processing course is a compulsory subject of Degree in Multimedia Engineering at the University of Alicante, in Spain. It is taught during 14-week period of the third academic year and it also has a workload of 6 ECTS (European Credit Transfer and Accumulation System) distributed as 30 hours of computer and laboratory practices and 30 hours of theory class. Nowadays, 80 students are enrolled in this course