Pixel-Bit

Resumen tomado de la publicaciónEn esta era marcada por el auge de las Nuevas Tecnologías en la que las innovaciones se multiplican conforme se aceleran los cambios en la sociedad, y no pudiendo la educación quedarse al margen, ampliándose las funciones de los profesores, debiendo enfrentarse a nuevos problemas y obligaciones bajo la presión de una sociedad cada vez más insatisfecha con los resultados de su sistema educativo; las reformas educativas exigen un cambio en el quehacer diario del profesor, que debe adoptar roles de facilitador frente al de mero instructor, así como adquirir nuevos conocimientos que le posibiliten esta actuación. Se resumen algunos de los principales aspectos desarrollados e investigados en la tesis doctoral dedicada al estudio de las actitudes del profesorado hacia la informática en los centros de Primaria con Proyecto Atenea de la Región de Murcia.ES

Demographic and clinical characteristics and outcomes among adult dengue patients with and without CSB.

<p>Demographic and clinical characteristics and outcomes among adult dengue patients with and without CSB.</p

Secondary multivariate analysis (excluding menorrhagia) of clinical variables predictive of CSB in (n = 4299) adult dengue patients.

<p>Secondary multivariate analysis (excluding menorrhagia) of clinical variables predictive of CSB in (n = 4299) adult dengue patients.</p

Multivariate analysis of clinical variables predictive of CSB in adult dengue patients (stratified by gender).

<p>Multivariate analysis of clinical variables predictive of CSB in adult dengue patients (stratified by gender).</p

Multivariate analysis of clinical factors on admission that were predictive of CSB according to the final model (N = 4383).

<p>Multivariate analysis of clinical factors on admission that were predictive of CSB according to the final model (N = 4383).</p

The Networked Community of Urban Mobility during the Pandemic

The COVID-19 pandemic has altered urban mobility patterns as various travel restrictions were imposed at different stages of the pandemic. Such dynamics inevitably affect the structure of urban spatial interactions underlying disease spreading. Understanding the spatial interaction structure and its dynamics is crucial for disease control. Through detecting networked communities, we identified latent movement boundaries emerged from actual human movement flows. We analyzed intra- and intercommunity flows that not only capture the regional and cross-region urban mobility structures but also facilitate the expansion and relocation diffusion processes. Networks representing four snapshots (prepandemic, lockdown, transition, and normal) were analyzed. The intracommunity flow intensities indicated similar patterns across four snapshots, suggesting the relative stability of the local expansion diffusion patterns throughout the study period. The intercommunity analysis showed the changes of spatial interaction intensities within the city, signifying the dynamic of the cross-regions disease spreading. Analyzing the intra- and intercommunity network structures provided a more holistic understanding of the dynamic urban mobility structures during the pandemic, highlighting the potential disease diffusion processes. This framework can also be used for disease management strategies simulation and future mobility-related urban planning.</p

Serum metabolome changes in adult patients with severe dengue in the critical and recovery phases of dengue infection

<div><p>Dengue virus (DENV) is the most prevalent arbovirus leading to an estimated 100 million symptomatic dengue infections every year. DENV can cause a spectrum of clinical manifestations, ranging from mild dengue fever (DF) to more life threatening forms such as dengue hemorrhagic fever (DHF). The clinical symptoms of DHF become evident typically at the critical phase of infection (5–7 days after onset of fever), yet the mechanisms that trigger transition from DF to DHF are not well understood. We performed a mass spectrometry-based metabolomic profiling of sera from adult DF and DHF patients at the critical and recovery phases of infection. There were 29 differentially expressed metabolites identified between DF and DHF at the critical phase. These include bile acids, purines, acylcarnitines, phospholipids, and amino acids. Bile acids were observed up to 5 fold higher levels among DHF compared to DF patients and were significantly correlated to the higher levels of aspartate transaminase (AST) and alanine transaminase (ALT), suggestive of liver injury among DHF. Uric acid, the most abundant antioxidant in the blood, was observed to be 1.5 fold lower among DHF compared to DF patients. This could result in decreased capacity of endogenous antioxidant defense and elevated oxidative stress among DHF patients. In the recovery phase, the levels of eight metabolites were still significantly higher or lower among DHF patients, including chenodeoxyglycocholic acid, one of the bile acids observed at the critical phase. This indicates potential prolonged adverse impact on the liver due to DENV infection in DHF patients. Our study identified altered metabolic pathways linked to DHF in the critical and recovery phases of dengue infection and provided insights into the different host and DENV interactions between DF and DHF. The results advance our understanding on the mechanisms of DHF pathogenesis, alluding to possible novel therapeutic targets to dengue management.</p></div

Crude and adjusted odds ratios of the association of DHF with multiple co-morbidities in year 2007–2008 epidemic.

*<p>Adjusted odds ratio was obtained from a multivariate logistic regression being adjusted by age groups, gender, ethnicity, diabetes mellitus and hypertension.</p><p>DHF- Dengue Hemorrhagic Fever.</p><p>COR- Crude odds ratio.</p><p>AOR- Adjusted odds ratio.</p><p>CI- Confidence interval.</p

Box plots of representative differentially expressed metabolites between dengue fever (DF) and dengue hemorrhagic fever (DHF) patients during critical phase.

<p><b>A.</b> Chenodeoxyglycocholic acid <b>B.</b> Glycocholic acid <b>C.</b> Glycoursodeoxycholic acid <b>D.</b> Uric acid <b>E.</b> Hypoxanthine <b>F.</b> Uridine <b>G.</b> 3-Hydroxyoctanoyl carnitine <b>H.</b> 2-Octenoylcarnitine <b>I.</b> L-phenylalanine. Horizontal lines represent median value. * <i>p</i><0.05, ** <i>p</i><0.01, *** <i>p</i><0.001, by Mann-Whitney test. The statistical comparison was with DF levels.</p

Distribution of demographic characteristics and co-morbidities by cases (DHF) and controls (DF) in year 2006 and year 2007–2008 epidemics.

Δ<p>Person's Chi-square, unless otherwise annotated.</p>∧<p>Mann-Whitney U test.</p>#<p>Fisher's Exact test.</p><p>DHF-Dengue hemorrhagic fever.</p><p>DF- Dengue fever.</p><p>DBP- Days before presentation in hospital.</p