Lista de chequeo dirigida a la identificación de rasgos de psicopatía subclínica en el ámbito de la violencia conyugal desde un contexto colombiano (LCRPS-R)

Curso Especial Interés: Perfilación CriminalEl objetivo del trabajo fue diseñar una checklist para identificar rasgos de psicopatía subclínica en agresores conyugales por parte de víctimas de violencia de pareja en el contexto colombiano, teniendo en cuenta las posibles relaciones entre la psicopatía subclínica y las diferentes manifestaciones de maltrato psicológico en las relaciones de pareja, brindando soporte a instituciones gubernamentales encargadas de la recepción de denuncias.INTRODUCCIÓN 1. JUSTIFICACION 2. PLANTEAMIENTO DE PROBLEMA 3. OBJETIVO GENERAL Y ESPECIFICOS 4. MARCO TEORICO 5. MARCO LEGAL 6. MARCO ETICO 7. ESTUDIO DE MERCADEO 8. RESULTADOS DISCUSIÓN REFERENCIAS APENDICESPregradoPsicólog

Evaluación del intelecto desde el enfoque de la teoría de la actividad

Licenciatura en Psicología Educativ

The Role of Exosome-Derived microRNA on Lung Cancer Metastasis Progression

The high mortality from lung cancer is mainly attributed to the presence of metastases at the time of diagnosis. Despite being the leading cause of lung cancer death, the underlying molecular mechanisms driving metastasis progression are still not fully understood. Recent studies suggest that tumor cell exosomes play a significant role in tumor progression through intercellular communication between tumor cells, the microenvironment, and distant organs. Furthermore, evidence shows that exosomes release biologically active components to distant sites and organs, which direct metastasis by preparing metastatic pre-niche and stimulating tumorigenesis. As a result, identifying the active components of exosome cargo has become a critical area of research in recent years. Among these components are microRNAs, which are associated with tumor progression and metastasis in lung cancer. Although research into exosome-derived microRNA (exosomal miRNAs) is still in its early stages, it holds promise as a potential target for lung cancer therapy. Understanding how exosomal microRNAs promote metastasis will provide evidence for developing new targeted treatments. This review summarizes current research on exosomal miRNAs’ role in metastasis progression mechanisms, focusing on lung cancer

Role of IL-10-Producing Natural Killer Cells in the Regulatory Mechanisms of Inflammation during Systemic Infection

Natural killer (NK) cells have the dual ability to produce pro-inflammatory (IFNγ) and anti-inflammatory (IL-10) cytokines during systemic infection, which points to their crucial role both as inflammatory effectors for infection clearance and as regulators to counterbalance inflammation to limit immune-mediated damage to the host. In particular, immunosuppressive IL-10 secretion by NK cells has been described to occur in systemic, but not local, infections as a recent immunoregulatory mechanism of inflammation that may be detrimental or beneficial, depending on the timing of release, type of disease, or the infection model. Understanding the factors that drive the production of IL-10 by NK cells and their impact during dualistic inflammatory states, such as sepsis and other non-controlled inflammatory diseases, is relevant for achieving effective therapeutic advancements. In this review, the evidence regarding the immunoregulatory role of IL-10-producing NK cells in systemic infection is summarized and discussed in detail, and the potential molecular mechanisms that drive IL-10 production by NK cells are considered

Predictive Modeling of Soft Stretchable Nanocomposites Using Recurrent Neural Networks

Human skin is characterized by rough, elastic, and uneven features that are difficult to recreate using conventional manufacturing technologies and rigid materials. The use of soft materials is a promising alternative to produce devices that mimic the tactile capabilities of biological tissues. Although previous studies have revealed the potential of fillers to modify the properties of composite materials, there is still a gap in modeling the conductivity and mechanical properties of these types of materials. While traditional Finite Element approximations can be used, these methodologies tend to be highly demanding of time and processing power. Instead of this approach, a data-driven learning-based approximation strategy can be used to generate prediction models via neural networks. This paper explores the fabrication of flexible nanocomposites using polydimethylsiloxane (PDMS) with different single-walled carbon nanotubes (SWCNTs) loadings (0.5, 1, and 1.5 wt.%). Simple Recurrent Neural Networks (SRNN), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRU) models were formulated, trained, and tested to obtain the predictive sequence data of out-of-plane quasistatic mechanical tests. Finally, the model learned is applied to a dynamic system using the Kelvin-Voight model and the phenomenon known as the bouncing ball. The best predictive results were achieved using a nonlinear activation function in the SRNN model implementing two units and 4000 epochs. These results suggest the feasibility of a hybrid approach of analogy-based learning and data-driven learning for the design and computational analysis of soft and stretchable nanocomposite materials

Nolanville Comprehensive Plan 2021-2041

Nearly five years after the completion of the 2015 Comprehensive Plan, TxTC partnered with the City of Nolanville again in 2019 with the ENDEAVR project. ENDEAVR (Envisioning the Neo-traditional Development by Embracing the Autonomous Vehicles Realm)— is an ambitious project to re-envision ”smart” city solutions in small towns with students from a wide range of university degree programs in urban planning, landscape architecture, visualization, computer science, and civil, electrical and mechanical engineering. ENDEAVR launched in 2018 with a $300,000 grant from the Keck Foundation, which supports projects that promote inventive educational approaches. The City of Nolanville sought to explore “smart” city solutions to make efficient and prudent improvements to traffic flow, public safety, optimize utility systems, high-bandwidth digital networks, and foster autonomous vehicles. Additionally, TxTC included these “smart” city solutions to update its 2015 comprehensive plan. The new 2020 comprehensive plan embeds “smart” city solutions into its priorities and capital improvement projects to foster diversity and continue to make Nolanville “A Great Place to Live”