Determining citizens’ opinions about stories in the news media: analysing Google, Facebook and Twitter

We describe a method whereby a governmental policy maker can discover citizens’ reaction to news stories. This is particularly relevant in the political world, where governments’ policy statements are reported by the news media and discussed by citizens. The work here addresses two main questions: whereabouts are citizens discussing a news story, and what are they saying? Our strategy to answer the first question is to find news articles pertaining to the policy statements, then perform internet searches for references to the news articles’ headlines and URLs. We have created a software tool that schedules repeating Google searches for the news articles and collects the results in a database, enabling the user to aggregate and analyse them to produce ranked tables of sites that reference the news articles. Using data mining techniques we can analyse data so that resultant ranking reflects an overall aggregate score, taking into account multiple datasets, and this shows the most relevant places on the internet where the story is discussed. To answer the second question, we introduce the WeGov toolbox as a tool for analysing citizens’ comments and behaviour pertaining to news stories. We first use the tool for identifying social network discussions, using different strategies for Facebook and Twitter. We apply different analysis components to analyse the data to distil the essence of the social network users’ comments, to determine influential users and identify important comments

Celebrando los 50 años de la revista interamericana de psicologia/interamerican journal of psychology: un análisis de contenido

The Revista Interamericana de Psicologia/Interamerican Journal of Psychology (RIP/IJP) was first published in 1967. During its fifty-year history, the goal of the journal has been to promote collaboration and communication among psychologists on the Americas through the dissemination of theoretical and applied research. The authors reviewed 1,200 articles published in the RIP/IJP between 1967 and 2016 (Volumes 1-50). The articles were coded into seven main content categories, which included type of article, research design, sample characteristics, data collection strategies, data analysis, thematic analysis, and author’s characteristics and affiliations. Results indicated that up to date, 2,688 authors from 30 identified countries have contributed research on a diverse array of psychological topics on primarily three languages: Spanish, English, and Portuguese. Data also suggest these articles are characterized by a broad range of research methodologies, data collection procedures and analysis, and sample characteristics.La Revista Interamericana de Psicología/ /Interamerican Journal of Psychology (RIP/IJP) se publicó por primera vez en el 1967. Durante sus cincuenta años de historia, el objetivo de la revista ha sido promover la colaboración y la comunicación entre los psicólogos de las Américas a través de la difusion de investigaciones teoricas y aplicadas. Los autores revisaron 1.200 artículos publicados en el RIP/IJP entre 1967 y 2016 (volúmenes 1-50). Los artículos se codificaron en siete categorías principales de contenido que incluyeron el tipo de artículo, el diseño de la investigación, las características de la muestra, las estrategias de recopilación de datos, el análisis de datos, el análisis temático y las características y afiliaciones del autor. Los resultados indicaron que hasta la fecha, 2,688 autores de 30 países han contribuido con investigaciones sobre una gran variedad de temas psicológicos en principalmente tres idiomas: español, inglés y portugués. Los datos también sugieren que estos artículos se caracterizan por una amplia gama de metodologías de investigación, procedimientos y análisis de recopilación de datos y características de la muestra.Fil: Torres Fernandez, Ivelisse. New Mexico State University.; Estados UnidosFil: Polanco, Fernando Andrés. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Pereira, Steve R.. New Mexico State University.; Estados UnidosFil: Béria, Josiane Sueli. Universidad Nacional de San Luis. Facultad de Psicología. Departamento de Formación Profesional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; ArgentinaFil: Zapico, Martín Gonzalo. Universidad Nacional de San Luis; Argentin

Liderazgo transformacional y rendimiento laboral del colaborador en la Universidad San Martin de Porres, Santa Anita 2021

El estudio de investigación tuvo como objetivo general determinar la relación entre liderazgo transformacional y rendimiento laboral del colaborador en la Universidad San Martin de Porres, Santa Anita 2021. La metodología que se utilizó fue la investigación aplicada, de enfoque cuantitativo, correlacional, diseño no experimental de corte transversal. La población estuvo conformada por 350 colaboradores, entre docentes y administrativos que laboran en la institución. Posteriormente, para la recolección de datos, la técnica utilizada fue la encuesta, a través del cuestionario, previamente validados, se demostró la validez y la confiabilidad, mediante la técnica de opinión de expertos y el Alfa de Cronbach que como resultado se obtuvo el valor de 0.959. Para las variables, los instrumentos, se graduaron en la escala de Likert. Con resultados para la comprobación de hipótesis se utilizó el Rho Spearman obteniéndose 0.770, indicando una correlación positiva en ambas variables; además un valor de significancia de, 0.01 indicando que hay relación entre ambas variables. Como conclusión, se determinó la relación entre liderazgo transformacional y rendimiento laboral del colaborador en la Universidad San Martin de Porres, Santa Anita 2021

Enhancing marine ecosystem monitoring through the integration of pop-up buoys with wireless communication an satellite connectivity

Upgrading underwater communication capabilities for seafloor monitoring: The PLOME project’s innovative pop-up buoy concept for near-real-time data collection and transmission.Peer Reviewe

Use of AMBR250 as a small scale model for manufacturing-scale single-use bioreactors

Quality by Design (QbD) has become an integral part of biopharmaceutical process development and manufacturing. To gain the enhanced process understanding required by QbD, a well-designed small scale model that accurately predicts behavior at manufacturing scale is essential. This process understanding should ideally be achieved with rapid, efficient experimentation to decrease both the time and cost required for development. The ambr250 automated microscale bioreactor system has the potential to address all of these challenges. By embedding the ambr250 into the upstream process development workflow, throughput can be dramatically increased allowing for greater exploration of parameter operating ranges and more complete process understanding. However, the value of such microscale technologies hinges on their ability to accurately mimic manufacturing scale. We embarked on a study to demonstrate the applicability of the ambr250 (250 mL) as a small scale model for a 2000-L single-use bioreactor (SUB). We evaluated consistency of cell culture process performance from the ambr250 to 2000-L SUB scale along with intermediate scales such as our legacy small scale model (3-L glass stirred-tank reactors) and 50-L to 1000-L SUBs. Scalability was assessed using two monoclonal antibody molecules expressed from different CHO hosts (CHO K1 and DG44) and cultivated in different media platforms (chemically-defined and yeastolate-containing) to ensure broad applicability of the small scale model. Engineering principles were applied to develop appropriate agitation and gassing strategies at each scale to ensure comparability, with a power input based scaling strategy performing the best. Based on both univariate and multivariate data analysis methods the ambr250 behaved comparably to both our legacy small scale model and the SUBs for the assets evaluated. Areas of focus to further refine the ambr250 as a small scale model have also been identified

A via dos esfingolipídeos como biossensor da quimiossensibilidade do câncer: Uma prova de princípio

Cancer is a complex genetic disease with reduced treatment alternatives due to tumor heterogeneity and drug multiresistance emergence. The sphingolipid (SL) metabolic pathway integrates different responses of cellular stress signals and defines cell survival. Therefore, we suggest studying the perturbations on the sphingolipid pathway (SLP) caused by chemotherapeutic drugs using a systems biology approach to evaluate its functionality as a drug response sensor. We used a sphingomyelin-BODIPY (SM-BOD) sensor to study SL metabolism by flow cytometry and live cell imaging in different cancer models. To decode pathway complexity, we implemented Gussian mixture models, ordinary differential equations models, unsupervised classification algorithms and a fuzzy logic approach to assess its utility as a chemotherapy response sensor. Our results show that chemotherapeutic drugs perturb the SLP in different ways in a cell line-specific manner. In addition, we found that few SM-BOD fluorescence features predict chemosensitivity with high accuracy. Finally, we found that the relative species composition of SL appears to contribute to the resulting cytotoxicity of many treatments. This report offers a conceptual and mathematical framework for developing personalized mathematical models to predict and improve cancer therapy.El cáncer es una enfermedad genética compleja con opciones terapéuticas limitadas, debido a la heterogeneidad tumoral y a la aparición de multirresistencia a los fármacos. La vía metabólica de los esfingolípidos (SL) se caracteriza por ser capaz de integrar diferentes tipos de señales de estrés celular y definir la supervivencia celular. Por lo tanto, sugerimos estudiar las perturbaciones en la vía de los esfingolípidos (SLP) causadas por fármacos quimioterapéuticos utilizando un enfoque de biología de sistemas y evaluar su funcionalidad como sensor de respuesta a fármacos. Usamos un sensor de esfingomielina-BODIPY (SM-BOD) para estudiar el metabolismo de SL mediante citometría de flujo e imágenes de células vivas en diferentes modelos de cáncer. Para decodificar la complejidad de la ruta, implementamos modelos de mezcla gaussianos, modelos de ecuaciones diferenciales ordinarias, algoritmos de clasificación no supervisados ​y un modelo de lógica difusa para evaluar su utilidad como sensor de respuesta a la quimioterapia. Nuestros resultados muestran que los fármacos quimioterapéuticos perturban la SLP de diferentes formas y de una manera específica de la línea celular. Además, encontramos que pocas características de fluorescencia de SM-BOD predicen la quimiosensibilidad con alta precisión. Finalmente, encontramos que la composición relativa de especies de SL parece contribuir a la citotoxicidad resultante de muchos tratamientos. Este informe ofrece un marco conceptual y matemático para desarrollar modelos matemáticos personalizados para predecir y mejorar la terapia del cáncer.O câncer é uma doença genética complexa com opções terapêuticas limitadas, devido à heterogeneidade tumoral e ao aparecimento de multirresistência aos fármacos. A via metabólica dos esfingolipídeos (SP) é caracterizada por ser capaz de integrar diferentes tipos de sinais de estresse celular e definir a sobrevivência celular. Portanto, sugerimos estudar as perturbações na rota dos esfingolipídeos (SP) causadas por fármacos quimioterápicos usando uma abordagem de biologia de sistemas e avaliar sua funcionalidade como sensor de resposta a fármacos. Usamos um sensor de esfingomielina-BODIPY (SM-BOD) para estudar o metabolismo do SP por citometria de fluxo e imagens de células vivas em diferentes modelos de câncer. Para decodificar a complexidade do caminho, implementamos modelos de mistura gaussiana, modelos de equações diferenciais ordinárias, algoritmos de classificação não supervisionados ​e um modelo de lógica difusa para avaliar sua utilidade como sensor de resposta à quimioterapia. Nossos resultados mostram que os fármacos quimioterápicos perturbam a rota dos SP de diferentes maneiras e de maneira específica da linhagem celular. Além disso, descobrimos que poucas características de fluorescência do SM-BOD predizem a quimiossensibilidade com alta precisão. Finalmente, descobrimos que a composição relativa de espécies de SP parece contribuir para a citotoxicidade resultante de muitos tratamentos. Este relatório oferece uma estrutura conceitual e matemática para o desenvolvimento de modelos matemáticos personalizados para prever e melhorar a terapia do câncer

Accurate quantification of atherosclerotic plaque volume by 3D vascular ultrasound using the volumetric linear array method.

Direct quantification of atherosclerotic plaque volume by three-dimensional vascular ultrasound (3DVUS) is more reproducible than 2DUS-based three-dimensional (2D/3D) techniques that generate pseudo-3D volumes from summed 2D plaque areas; however, its accuracy has not been reported. We aimed to determine 3DVUS accuracy for plaque volume measurement with special emphasis on small plaques (a hallmark of early atherosclerosis). The in vitro study consisted of nine phantoms of different volumes (small and medium-large) embedded at variable distances from the surface (superficial vs. >5 cm-depth) and comparison of 3DVUS data generated using a novel volumetric-linear array method with the real phantom volumes. The in vivo study was undertaken in a rabbit model of atherosclerosis in which 3DVUS and 2D/3D volume measurements were correlated against gold-standard histological measurements. In the in vitro setting, there was a strong correlation between 3DVUS measures and real phantom volume both for small (3.0-64.5 mm(3) size) and medium-large (91.1-965.5 mm(3) size) phantoms embedded superficially, with intraclass correlation coefficients (ICC) of 0.99 and 0.98, respectively; conversely, when phantoms were placed at >5 cm, the correlation was only moderate (ICC = 0.67). In the in vivo setting there was strong correlation between 3DVUS-measured plaque volumes and the histological gold-standard (ICC = 0.99 [4.02-92.5 mm(3) size]). Conversely, the correlation between 2D/3D values and the histological gold standard (sum of plaque areas) was weaker (ICC = 0.87 [49-520 mm(2) size]), with large dispersion of the differences between measurements in Bland-Altman plots (mean error, 79.2 mm(2)). 3DVUS using the volumetric-linear array method accurately measures plaque volumes, including those of small plaques. Measurements are more accurate for superficial arterial territories than for deep territories.S