Fast Fight Detection

Action recognition has become a hot topic within computer vision. However, the action recognition community has focused mainly on relatively simple actions like clapping, walking, jogging, etc. The detection of specific events with direct practical use such as fights or in general aggressive behavior has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like prisons, psychiatric centers or even embedded in camera phones. As a consequence, there is growing interest in developing violence detection algorithms. Recent work considered the well-known Bag-of-Words framework for the specific problem of fight detection. Under this framework, spatio-temporal features are extracted from the video sequences and used for classification. Despite encouraging results in which high accuracy rates were achieved, the computational cost of extracting such features is prohibitive for practical applications. This work proposes a novel method to detect violence sequences. Features extracted from motion blobs are used to discriminate fight and non-fight sequences. Although the method is outperformed in accuracy by state of the art, it has a significantly faster computation time thus making it amenable for real-time applications

Legal knowledge acquisition and multimedia applications

Search, retrieval, and management of multimedia contents are challenging tasks for users and researchers alike. The aim of e-sentencias Project is to develop a software-hardware system for the global management of the multimedia contents produced by the Spanish Civil Courts. We apply technologies such as the Semantic Web, ontologies, NLP techniques, audio-video segmentation and IR. The ultimate goal is to obtain an automatic classification of images and segments of the audiovisual records that, coupled with textual semantics, allows anefficient navigation and retrieval of judicial documents and additional legal sources

Ageism and nursing students, past or reality?: a systematic review

Objective: This systematic review aimed to summarise and update existing knowledge about ageism among nursing students through the following research question: what is the perception and attitudes of ageism among student nurses? Design: A systematic review of longitudinal and cross-sectional studies of ageism in nursing students was carried out. Data sources: The literature search was conducted in the scientific databases Pubmed and Scopus in February 2021. Review methods: After the screening process, 22 studies meeting the selection criteria were selected; 8 more were identified after manually searching the selected paper' reference lists. A total of 30 studies were included in the review. The JBI Critical Appraisal Checklists for Analytical Cross-Sectional studies and for Cohort Studies were used to appraise the articles' quality. Results: There was large variability in the manifestation of ageism among student nurses, as well as in the instruments used for assessment. Most of the articles analysed attitudes towards old age, the majority of which were positive. Being a female student, being on the final year of study and having regular contact or cohabitation with an older adult were three of the main determinants in the expression of positive attitudes towards the elderly. Conclusions: Our findings suggest that student nurses generally have positive attitudes towards old age, although ageist beliefs and discriminatory behaviours were identified and should be studied in greater depth. Training programs for future care professionals have a responsibility to educate from a non-stereotypical perspective based on current societal needs

Propéptido natriurético cerebral como marcador de evolución digestiva en el recién nacido prematuro

Introducción: Antecedentes y objetivo: el ductus arterioso persistente hemodinámicamente significativo (DAP-HS) se asocia a mayor riesgo de enterocolitis necrotizante (ECN) y peor tolerancia enteral en los recién nacidos prematuros (RNPT). Se ha demostrado asociación entre el propéptido natriurético cerebral (proBNP) y el DAP-HS. Nuestro objetivo fue analizar la relación entre los niveles de proBNP y la tolerancia enteral, el riesgo de ECN y la ganancia ponderal en el RNPT. Material y métodos: estudio retrospectivo observacional, que incluyó a RNPT menores de 32 semanas de gestación y/o 1.500 g, con estudio ecocardiográfico y determinación de niveles de proBNP a las 48-72 horas de vida. Resultados: de 117 pacientes incluidos, el 65, 8% tuvo un DAPHS y el 9, 4% presentó ECN confirmada. El DAP-HS se asoció a mayor duración de la nutrición parenteral (p < 0, 001), a ECN confirmada (p = 0, 006) y a peor ganancia ponderal durante el ingreso (p < 0, 001). Los valores de proBNP se relacionaron con la ECN (no ECN 12.189, 5 pg/ml, rango 654-247.986; ECN 41.445 pg/ml, rango 15.275-166.172; p < 0, 001), sin encontrar asociación con el resto de variables de evolución digestiva. En el análisis multivariante de regresión logística, las variables relacionadas de forma independiente con el desarrollo de ECN fueron la edad gestacional y el proBNP superior a 22.400 pg/ml (OR 13, 386; IC 95% 1, 541-116, 262; p = 0, 019). Conclusiones: el proBNP podría ser un marcador precoz de patología digestiva grave en el RNPT. Los niveles elevados podrían relacionarse con mayor riesgo de ECN en los neonatos más inmaduros. Introduction: Background and objective: hemodynamically significant patent ductus arteriosus (HS-PDA) is associated with an increased risk of necrotizing enterocolitis (NEC) and worse enteral tolerance in preterm newborns (PN). An association has been demonstrated between brain natriuretic propeptide (proBNP) and HS-PDA. Our objective was to analyze the relationship between proBNP levels and enteral tolerance, NEC risk and weight gain in PN. Material and methods: a retrospective study was performed in neonates born before 32 weeks' gestation or with birth weight below 1500 grams, in whom proBNP determination and echocardiography were performed at 48 to 72 h of life. Results: 117 patients were included. 65.8% had a HS-PDA and 9.4% had an outcome of NEC. HS-PDA was associated with longer duration of parenteral nutrition (p < 0.001), a confirmed NEC (p = 0.006) and worse weight gain during admission (p < 0.001). ProBNP levels were associated to NEC (no NEC 12189.5 pg / mL, range 654-247986; NEC 41445 pg/mL, range 15275-166172, p < 0.001). No association was found with the rest of gastrointestinal outcomes. Multivariate logistic regression analysis showed a significant association of NEC with gestational age and proBNP above 22, 400 pg/mL (OR 13, 386, 95% CI 1, 541-116, 262, p = 0.019). Conclusions: proBNP could be an early marker of severe digestive pathology in PN. Increased proBNP levels could be associated with a significant increased risk of NEC in very immature newborns

The e-Sentencias prototype: a procedural ontology for legal multimedia applications in the Spanish Civil Courts

Search, retrieval, and management of multimedia contents are challenging tasks for users and researchers alike. We introduce a software-hardware system for the global management of the multimedia contents produced by Spanish Civil Courts. The ultimate goal is to obtain an automatic classification of images and segments of the audiovisual records that, coupled with textual semantics, allows an efficient navigation and retrieval of judicial documents and additional legal sources. This paper describes our knowledge acquisition process, sets a typology of Spanish Civil hearings as performed in practice, and a preliminary procedural ontology at its actual stage of development (e-Sentencias ontology). A discussion on procedural, contextual and multimedia ontologies is also provided

Accelerating semantic search with application of specific platforms

Semantic Search and Ontologies are one of the key technologies that can improve content management. Nonetheless, in order to be widely diffused, these technologies lack real-time capabilities, that speed up both the indexing and the retrieval processes. This contribution presents the approach and strategy proposed to tackle this problem, within the Spanish project E-Sentencias; a project for the development of a management system for lawyers that includes documentation and multimedia related to the management of their legal case

3D printing technologies in personalized medicine, nanomedicines, and biopharmaceuticals

3D printing technologies enable medicine customization adapted to patients' needs. There are several 3D printing techniques available, but majority of dosage forms and medical devices are printed using nozzle-based extrusion, laser-writing systems, and powder binder jetting. 3D printing has been demonstrated for a broad range of applications in development and targeting solid, semi-solid and locally applied or implanted medicines. 3D printed solid dosage forms allow the combination of one or more drugs within the same solid dosage form to improve patient compliance, facilitate deglutition, tailor the release profile, or fabricate new medicines for which no dosage form is available. Sustained release 3D-printed implants, stents and medical devices have been used mainly for joint replacement therapies, medical prostheses, and cardiovascular applications. Locally applied medicines such as wound dressing, microneedles, and medicated contact lenses have also been manufactured using 3D printing techniques. The challenge is to select the 3D printing tech-nique most suitable for each application and the type of pharmaceutical ink that should be devel-oped that possesses the required physicochemical and biological performance. The integration of biopharmaceuticals and nanotechnology-based drugs along with 3D printing ("Nanoprinting") brings printed personalized nanomedicines within the most innovative perspectives for the coming years. Continuous manufacturing through the use of 3D-printed microfluidic chips facilitates their translation into clinical practice

The voltage-dependent K+ channels Kv1.3 and Kv1.5 in human cancer

Voltage-dependent K+ channels (Kv) are involved in a number of physiological processes, including immunomodulation, cell volume regulation, apoptosis as well as differentiation. Some Kv channels participate in the proliferation and migration of normal and tumor cells, contributing to metastasis. Altered expression of Kv1.3 and Kv1.5 channels has been found in several types of tumors and cancer cells. In general, while the expression of Kv1.3 apparently exhibits no clear pattern, Kv1.5 is induced in many of the analyzed metastatic tissues. Interestingly, evidence indicates that Kv1.5 channel shows inversed correlation with malignancy in some gliomas and non-Hodgkin's lymphomas. However, Kv1.3 and Kv1.5 are similarly remodeled in some cancers. For instance, expression of Kv1.3 and Kv1.5 correlates with a certain grade of tumorigenicity in muscle sarcomas. Differential remodeling of Kv1.3 and Kv1.5 expression in human cancers may indicate their role in tumor growth and their importance as potential tumor markers. However, despite of this increasing body of information, which considers Kv1.3 and Kv1.5 as emerging tumoral markers, further research must be performed to reach any conclusion. In this review, we summarize what it has been lately documented about Kv1.3 and Kv1.5 channels in human cancer

Opinion dynamics: models, extensions and external effects

Recently, social phenomena have received a lot of attention not only from social scientists, but also from physicists, mathematicians and computer scientists, in the emerging interdisciplinary field of complex system science. Opinion dynamics is one of the processes studied, since opinions are the drivers of human behaviour, and play a crucial role in many global challenges that our complex world and societies are facing: global financial crises, global pandemics, growth of cities, urbanisation and migration patterns, and last but not least important, climate change and environmental sustainability and protection. Opinion formation is a complex process affected by the interplay of different elements, including the individual predisposition, the influence of positive and negative peer interaction (social networks playing a crucial role in this respect), the information each individual is exposed to, and many others. Several models inspired from those in use in physics have been developed to encompass many of these elements, and to allow for the identification of the mechanisms involved in the opinion formation process and the understanding of their role, with the practical aim of simulating opinion formation and spreading under various conditions. These modelling schemes range from binary simple models such as the voter model, to multi-dimensional continuous approaches. Here, we provide a review of recent methods, focusing on models employing both peer interaction and external information, and emphasising the role that less studied mechanisms, such as disagreement, has in driving the opinion dynamics. [...]Comment: 42 pages, 6 figure