Verificación de las Fórmulas Polinómicas en cuatro Infraestructuras Educativas para optimizar los recursos del estado en Gobierno Regional de Lambayeque

El presente trabajo de investigación denominado: “Verificación de las Fórmulas Polinómicas en cuatro Infraestructuras Educativas para optimizar los recursos del estado en Gobierno Regional de Lambayeque” de proyectos ejecutados en el año 2015, El método de investigación es no experimental, el tipo de acuerdo con el fin que persigue es aplicada, de acuerdo con la técnica de contrastación es descriptiva, y por el régimen de investigación es libre; no se pretende manipular las variables, si no realizar la descripción tal cual de los resultados. Nuestra Población la conforman todos los proyectos de Infraestructuras Educativas del Gobierno Regional de Lambayeque en el año 2015, y nuestra muestra está basada en 4 proyectos, los instrumentos usados son el S10 y el Excel que facilitaron el procesamiento de la información. A las conclusiones que se llegó son: Que existe una variación en los coeficientes de incidencia entre la Fórmula Polinómica del Expediente Técnico y la que se está planteando, en la del expediente técnico no consideran el índice N° 39 en los cuatro proyectos analizados

Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes

This study evaluates mobile apps using a theory-based evaluation framework to discover their applicability for patients at risk of gestational diabetes. This study assessed how well the existing mobile apps on the market meet the information and tracking needs of patients with gestational diabetes and evaluated the feasibility of how to integrate these apps into patient care. A search was conducted in the Apple iTunes and Google Play store for mobile apps that contained keywords related to the following concepts of nutrition: diet, tracking, diabetes, and pregnancy. Evaluation criteria were developed to assess the mobile apps on five dimensions. Overall, the apps scored well on education and information functions and scored poorly on engagement functions. There are few apps that provide comprehensive evidence-based educational content, tracking tools, and integration with electronic health records. This study demonstrates the need to develop apps that have comprehensive content, tracking tools, and ability to bidirectionally share data

Systematic Assessment of the Accuracy of Subunit Counting in Biomolecular Complexes Using Automated Single-Molecule Brightness Analysis.

Analysis of single-molecule brightness allows subunit counting of high-order oligomeric biomolecular complexes. Although the theory behind the method has been extensively assessed, systematic analysis of the experimental conditions required to accurately quantify the stoichiometry of biological complexes remains challenging. In this work, we develop a high-throughput, automated computational pipeline for single-molecule brightness analysis that requires minimal human input. We use this strategy to systematically quantify the accuracy of counting under a wide range of experimental conditions in simulated ground-truth data and then validate its use on experimentally obtained data. Our approach defines a set of conditions under which subunit counting by brightness analysis is designed to work optimally and helps in establishing the experimental limits in quantifying the number of subunits in a complex of interest. Finally, we combine these features into a powerful, yet simple, software that can be easily used for the analysis of the stoichiometry of such complexes

Lesión cardíaca por arma blanca inadvertida durante la evaluación inicial en el servicio de emergencia

Introducción. La incidencia reportada de traumatismo cardíaco es baja y su grado de resolución es variable, dependiendo de la causa, el mecanismo de la lesión, el lugar donde ocurra y las características del sistema sanitario. Su incidencia ha aumentado recientemente debido al incremento de los accidentes de tránsito y la violencia, predominando los traumatismos penetrantes asociados a heridas por armas cortopunzantes y de fuego. Los traumatismos cardíacos se acompañan de un alto grado de letalidad. Caso clínico. Mujer de 35 años que consultó a emergencia por trauma torácico penetrante ocasionado por arma blanca y fue intervenida de urgencia por derrame pleural izquierdo, sin mejoría hemodinámica. Fue reevaluada detectándose derrame pericárdico con taponamiento cardíaco, ocasionado por lesión cardíaca. Fue tratada quirúrgicamente con resultados satisfactorios. Resultados. Las manifestaciones clínicas en los traumatismos penetrantes generalmente son graves y fatales, pero en algunos casos puede no comprometer tanto la hemodinamia del paciente. Para consolidar el diagnóstico clínico pueden realizarse variados estudios, siendo la ecografía FAST extendida uno de los más recomendados por su elevada sensibilidad y especificidad. Dependiendo del adelanto tecnológico del centro hospitalario y la estabilidad hemodinámica del paciente, el tratamiento quirúrgico es el más indicado. Conclusión. El conocimiento del trauma cardíaco penetrante resulta de gran importancia, no solo para el médico del servicio de emergencia sino también para el médico general. Un diagnóstico rápido y acertado, unido a un manejo adecuado, pueden ser decisivos para salvar la vida del paciente

Perspectives of Cognitive Impairment and Behavioral Disturbances in Parkinson’s Disease Dementia

Parkinson’s disease dementia is a critical stage of the disease because that has a negative impact on the quality of life and functional independence in activities daily living. How the cognition progress to dementia is a key to be explored. The cognitive impairment shows two profiles: cortical (memory encoding, visuospatial abilities, and language) and subcortical, with a dysexecutive syndrome that includes deficits in recognition memory, attention processes, and visual perception as well as visual hallucinations and cognitive fluctuations. Behavioral problems such as apathy, anxiety, depression, and impulse control disorders take a significant part in the loss of autonomy and progression of the disease. To detect the risk of Parkinson’s disease dementia development, the integral evaluation of patients in all stages of the disease should consider the interplay of genetic and epigenetic factors, motor subtypes, and non-motor symptoms (NMS) in order to implement different therapeutics and supportive strategies when they are likely to have efficacy

A mixed methods analysis of existing assessment and evaluation tools (AETs) for mental health applications

IntroductionMental health Applications (MH Apps) can potentially improve access to high-quality mental health care. However, the recent rapid expansion of MH Apps has created growing concern regarding their safety and effectiveness, leading to the development of AETs (Assessment and Evaluation Tools) to help guide users. This article provides a critical, mixed methods analysis of existing AETs for MH Apps by reviewing the criteria used to evaluate MH Apps and assessing their effectiveness as evaluation tools.MethodsTo identify relevant AETs, gray and scholarly literature were located through stakeholder consultation, Internet searching via Google and a literature search of bibliographic databases Medline, APA PsycInfo, and LISTA. Materials in English that provided a tool or method to evaluate MH Apps and were published from January 1, 2000, to January 26, 2021 were considered for inclusion.ResultsThirteen relevant AETs targeted for MH Apps met the inclusion criteria. The qualitative analysis of AETs and their evaluation criteria revealed that despite purporting to focus on MH Apps, the included AETs did not contain criteria that made them more specific to MH Apps than general health applications. There appeared to be very little agreed-upon terminology in this field, and the focus of selection criteria in AETs is often IT-related, with a lesser focus on clinical issues, equity, and scientific evidence. The quality of AETs was quantitatively assessed using the AGREE II, a standardized tool for evaluating assessment guidelines. Three out of 13 AETs were deemed ‘recommended’ using the AGREE II.DiscussionThere is a need for further improvements to existing AETs. To realize the full potential of MH Apps and reduce stakeholders’ concerns, AETs must be developed within the current laws and governmental health policies, be specific to mental health, be feasible to implement and be supported by rigorous research methodology, medical education, and public awareness

Stakeholders' views and opinions on existing guidelines on “How to Choose Mental Health Apps”

BackgroundMental health Applications (Mhealth Apps) can change how healthcare is delivered. However, very little is known about the efficacy of Mhealth Apps. Currently, only minimum guidance is available in Assessment and Evaluation Tools (AETs). Therefore, this project aims to understand AET developers' perspectives and end users' experiences and opinions on “how to choose a Mhealth App”.ObjectiveThe primary objectives were: (1) obtaining stakeholder's opinions and experiences of development and use of AETs for Mhealth Apps, their weaknesses and strengths, and barriers in their implementation of Mhealth Apps; (2) the experiences of App users, their analyzation and, obstacles in the use of apps; and (3) to quantify themes related to choosing a Mhealth App.MethodsThis qualitative study, used a sampling method to recruit six stakeholders (one App developer, two AET developers, an individual with lived experience of mental health illness, and two physicians) who were interviewed using a topic guide. These were examined by researchers (CT, WK, & FN) using thematic content analysis. Additionally, an anonymous online survey of 107 individuals was conducted.FindingsOur analyses revealed six main themes: (a) needs and opportunities; (b) views on Mhealth apps; (c) views & opinions on AETs; (d) implementation barriers; (e) system of evaluation and; (f) future directions. The first key concept was, all stakeholders agreed that Apps could significantly impact mental health and that end-users were unaware of mental health AETs and Apps. Secondly, due to commercial interests, end-users reliability of App evaluations requires clear conflict-free guidelines. Thirdly, AETs should be evaluated and developed through a rigorous methodology. Finally, stakeholders shared insights into future developments for AETs and Mhealth Apps. Additionally, online survey respondents chose a “health professional” as their preferred source of guidance in selecting a Mhealth app (84%) and best suited to develop guidelines (70%).ConclusionThe interviews and survey highlight the need for Mhealth Apps to be regulated and the importance of health professionals' engagement in the implementation process. Similarly, without well-defined roles for App evaluations within the health care system, it is unlikely that AETs will have wider spread use and impact without risk

The Problem of Colliding Networks and its Relation to Cancer

Complex systems, ranging from living cells to human societies, can be represented as attractor networks, whose basic property is to exist in one of allowed states, or attractors. We noted that merging two systems that are in distinct attractors creates uncertainty, as the hybrid system cannot assume two attractors at once. As a prototype of this problem, we explore cell fusion, whose ability to combine distinct cells into hybrids was proposed to cause cancer. By simulating cell types as attractors, we find that hybrids are prone to assume spurious attractors, which are emergent and sporadic states of networks, and propose that cell fusion can make a cell cancerous by placing it into normally inaccessible spurious states. We define basic features of hybrid networks and suggest that the problem of colliding networks has general significance in processes represented by attractor networks, including biological, social, and political phenomena

Prediction of Associations between microRNAs and Gene Expression in Glioma Biology

Despite progress in the determination of miR interactions, their regulatory role in cancer is only beginning to be unraveled. Utilizing gene expression data from 27 glioblastoma samples we found that the mere knowledge of physical interactions between specific mRNAs and miRs can be used to determine associated regulatory interactions, allowing us to identify 626 associated interactions, involving 128 miRs that putatively modulate the expression of 246 mRNAs. Experimentally determining the expression of miRs, we found an over-representation of over(under)-expressed miRs with various predicted mRNA target sequences. Such significantly associated miRs that putatively bind over-expressed genes strongly tend to have binding sites nearby the 3′UTR of the corresponding mRNAs, suggesting that the presence of the miRs near the translation stop site may be a factor in their regulatory ability. Our analysis predicted a significant association between miR-128 and the protein kinase WEE1, which we subsequently validated experimentally by showing that the over-expression of the naturally under-expressed miR-128 in glioma cells resulted in the inhibition of WEE1 in glioblastoma cells