36 research outputs found
Actividades prácticas para la asignatura de Seguridad de sistemas de información
La gran mayoría de los nuevos planes de estudios
están incorporando nuevas asignaturas dedicadas a
la Seguridad de Sistemas Informáticos. Un
aspecto clave de estas asignaturas es el trabajo
práctico y determinar qué actividades pueden ser
las más idóneas para mostrar a los alumnos los
diferentes aspectos de la Seguridad. En este
artículo presentamos dos actividades prácticas que
combinan los conceptos relativos a la
autenticación basada en tarjetas inteligentes y el
control de acceso en sistemas operativos Windows
y Linux.Peer Reviewe
A Systematic Literature Review of Digital Game-based Assessment Empirical Studies: Current Trends and Open Challenges
Technology has become an essential part of our everyday life, and its use in
educational environments keeps growing. In addition, games are one of the most
popular activities across cultures and ages, and there is ample evidence that
supports the benefits of using games for assessment. This field is commonly
known as game-based assessment (GBA), which refers to the use of games to
assess learners' competencies, skills, or knowledge. This paper analyzes the
current status of the GBA field by performing the first systematic literature
review on empirical GBA studies, based on 66 research papers that used digital
GBAs to determine: (1) the context where the study has been applied, (2) the
primary purpose, (3) the knowledge domain of the game used, (4) game/tool
availability, (5) the size of the data sample, (6) the data science techniques
and algorithms applied, (7) the targeted stakeholders of the study, and (8)
what limitations and challenges are reported by authors. Based on the
categories established and our analysis, the findings suggest that GBAs are
mainly used in formal education and for assessment purposes, and most GBAs
focus on assessing STEM content and cognitive skills. Furthermore, the current
limitations indicate that future GBA research would benefit from the use of
bigger data samples and more specialized algorithms. Based on our results, we
discuss the status of the field with the current trends and the open challenges
(including replication and validation problems) providing recommendations for
the future research agenda of the GBA field.Comment: 23 pages, 12 figures, 1 tabl
Aprendizaje de tecnologías informáticas en titulaciones de Ciencias de la Comunicación mediante ABP
La inclusión de contenidos tecnológicos informáticos
en titulaciones de posgrado en Ciencias de la Comunicación
es un reto desde el punto de vista docente.
En este sentido nos encontramos con alumnos que carecen
de una base tecnológica suficiente que permita
profundizar en detalles sobre el desarrollo o explotación
de las nuevas tecnologías de la información y las
comunicaciones, especialmente las relativas a las innovaciones
tecnológicas en el entorno móvil. Partiendo
de la dificultad que supone enfrentarse a este reto,
el presente artículo presenta la experiencia docente
con la asignatura Innovación Tecnológica en Contenidos
Digitales del Máster Interuniversitario en Comunicación
Móvil y Contenidos Digitales de la Facultad
de Comunicación y Documentación de la Universidad
de Murcia. En esta asignatura encontramos alumnos
con distinta formación, como Publicidad, Comunicación
Audivisual, Periodismo y Documentación. Hemos
puesto en práctica, de forma exitosa, una experiencia
docente de Aprendizaje Basado en Proyectos
(ABP) y en este artículo incluimos detalles sobre la
metodología, los recursos docentes y los resultados de
aprendizaje obtenidos. Además mostramos un resumen
de los proyectos desarrollados y la valoración de
los alumnos, así como unas reflexiones acerca de la
idoneidad de esta clase de enfoques docentes para estos
marcos de aprendizaje de la informática.Teaching about information technologies (IT) for students
of Communication Sciences is a challenging
task. Those students do not usually have enough skills
and knowledge about technological innovation in order
to deal with some details about the development
and deployment of information technologies, especially
those related to the mobile ecosystem. Based on
this fact, this paper presents the teaching experience
in the subject Technology Innovation in Digital Contents
of the Master's Degree in Mobile Communication
and Digital Contents of the Faculty of Communication
Sciences at our university. It is a subject with
students from different degrees, like Advertising, Audiovisual
Communication, Journalism, and Documentation.
As we will see, we have successfully implemented
a teaching experience based on Project-
Based Learning (PBL). We include details about the
process, the teaching resources and the obtained results.
Moreover, the paper includes a summary of the
projects and the evaluation of the students, as well as
a discussion about the suitability of this approach
A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios
Anomaly Detection systems based on Machine and Deep learning are the most promising solutions to detect cyberattacks in the industry. However, these techniques are vulnerable to adversarial attacks that downgrade prediction performance. Several techniques have been proposed to measure the robustness of Anomaly Detection in the literature. However, they do not consider that, although a small perturbation in an anomalous sample belonging to an attack, i.e., Denial of Service, could cause it to be misclassified as normal while retaining its ability to damage, an excessive perturbation might also transform it into a truly normal sample, with no real impact on the industrial system. This paper presents a methodology to calculate the robustness of Anomaly Detection models in industrial scenarios. The methodology comprises four steps and uses a set of additional models called support models to determine if an adversarial sample remains anomalous. We carried out the validation using the Tennessee Eastman process, a simulated testbed of a chemical process. In such a scenario, we applied the methodology to both a Long-Short Term Memory (LSTM) neural network and 1-dimensional Convolutional Neural Network (1D-CNN) focused on detecting anomalies produced by different cyberattacks. The experiments showed that 1D-CNN is significantly more robust than LSTM for our testbed. Specifically, a perturbation of 60% (empirical robustness of 0.6) of the original sample is needed to generate adversarial samples for LSTM, whereas in 1D-CNN the perturbation required increases up to 111% (empirical robustness of 1.11)
Forced Solid-State Interactions for the Selective “Turn-On” Fluorescence Sensing of Aluminum Ions in Water Using a Sensory Polymer Substrate
Selective and sensitive solid sensory substrates for detecting Al(III) in pure
water are reported. The material is a flexible polymer film that can be handled and exhibits gel
behavior and membrane performance. The film features a chemically anchored salicylaldehyde
benzoylhydrazone derivative as an aluminum ion fluorescence sensor. A novel procedure for
measuring Al(III) at the ppb level using a single solution drop in 20 min was developed. In this
procedure, a drop was allowed to enter the hydrophilic material for 15 min before a 5 min
drying period. The process forced the Al(III) to interact with the sensory motifs within the
membrane before measuring the fluorescence of the system. The limit of detection of Al(III)
was 22 ppm. Furthermore, a water-soluble sensory polymer containing the same sensory
motifs was developed with a limit of detection of Al(III) of 1.5 ppb, which was significantly
lower than the Environmental Protection Agency recommendations for drinking water.Spanish Ministerio de Economía
y Competitividad-Feder
(MAT2011-22544) and by the Consejería
de Educación - Junta
de Castilla y León (BU232U13)
Nondisjunction of a Single Chromosome Leads to Breakage and Activation of DNA Damage Checkpoint in G2
The resolution of chromosomes during anaphase is a key step in mitosis. Failure to disjoin chromatids compromises the fidelity of chromosome inheritance and generates aneuploidy and chromosome rearrangements, conditions linked to cancer development. Inactivation of topoisomerase II, condensin, or separase leads to gross chromosome nondisjunction. However, the fate of cells when one or a few chromosomes fail to separate has not been determined. Here, we describe a genetic system to induce mitotic progression in the presence of nondisjunction in yeast chromosome XII right arm (cXIIr), which allows the characterisation of the cellular fate of the progeny. Surprisingly, we find that the execution of karyokinesis and cytokinesis is timely and produces severing of cXIIr on or near the repetitive ribosomal gene array. Consequently, one end of the broken chromatid finishes up in each of the new daughter cells, generating a novel type of one-ended double-strand break. Importantly, both daughter cells enter a new cycle and the damage is not detected until the next G2, when cells arrest in a Rad9-dependent manner. Cytologically, we observed the accumulation of damage foci containing RPA/Rad52 proteins but failed to detect Mre11, indicating that cells attempt to repair both chromosome arms through a MRX-independent recombinational pathway. Finally, we analysed several surviving colonies arising after just one cell cycle with cXIIr nondisjunction. We found that aberrant forms of the chromosome were recovered, especially when RAD52 was deleted. Our results demonstrate that, in yeast cells, the Rad9-DNA damage checkpoint plays an important role responding to compromised genome integrity caused by mitotic nondisjunction
Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.
BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362