Sensor System for Rescue Robots

A majority of rescue worker fatalities are a result of on-scene responses. Existing technologies help assist the first responders in scenarios of no light, and there even exist robots that can navigate radioactive areas. However, none are able to be both quickly deployable and enter hard to reach or unsafe areas in an emergency event such as an earthquake or storm that damages a structure. In this project we created a sensor platform system to augment existing robotic solutions so that rescue workers can search for people in danger while avoiding preventable injury or death and saving time and resources. Our results showed that we were able to map out a 2D map of the room with updates for robot motion on a display while also showing a live thermal image in front of the system. The system is also capable of taking a digital picture from a triggering event and then displaying it on the computer screen. We discovered that data transfer plays a huge role in making different programs like Arduino and Processing interact with each other. Consequently, this needs to be accounted for when improving our project. In particular our project is wired right now but should deliver data wirelessly to be of any practical use. Furthermore, we dipped our feet into SLAM technologies and if our project were to become autonomous, more research into the algorithms would make this autonomy feasible

One-way quantum computing with arbitrarily large time-frequency continuous-variable cluster states from a single optical parametric oscillator

One-way quantum computing is experimentally appealing because it requires only local measurements on an entangled resource called a cluster state. Record-size, but non-universal, continuous-variable cluster states were recently demonstrated separately in the time and frequency domains. We propose to combine these approaches into a scalable architecture in which a single optical parametric oscillator and simple interferometer entangle up to ($3\times 10^3$ frequencies) $\times$ (unlimited number of temporal modes) into a new and computationally universal continuous-variable cluster state. We introduce a generalized measurement protocol to enable improved computational performance on this new entanglement resource.Comment: (v4) Consistent with published version; (v3) Fixed typo in arXiv abstract, 14 pages, 8 figures; (v2) Supplemental material incorporated into main text, additional explanations added, results unchanged, 14 pages, 8 figures; (v1) 5 pages (3 figures) + 6 pages (5 figures) of supplemental material; submitted for publicatio

Latency and Selectivity of Single Neurons Indicate Hierarchical Processing in the Human Medial Temporal Lobe

Neurons in the temporal lobe of both monkeys and humans show selective responses to classes of visual stimuli and even to specific individuals. In this study, we investigate the latency and selectivity of visually responsive neurons recorded from microelectrodes in the parahippocampal cortex, entorhinal cortex, hippocampus, and amygdala of human subjects during a visual object presentation task. During 96 experimental sessions in 35 subjects, we recorded from a total of 3278 neurons. Of these units, 398 responded selectively to one or more of the presented stimuli. Mean response latencies were substantially larger than those reported in monkeys. We observed a highly significant correlation between the latency and the selectivity of these neurons: the longer the latency the greater the selectivity. Particularly, parahippocampal neurons were found to respond significantly earlier and less selectively than those in the other three regions. Regional analysis showed significant correlations between latency and selectivity within the parahippocampal cortex, entorhinal cortex, and hippocampus, but not within the amygdala. The later and more selective responses tended to be generated by cells with sparse baseline firing rates and vice versa. Our results provide direct evidence for hierarchical processing of sensory information at the interface between the visual pathway and the limbic system, by which increasingly refined and specific representations of stimulus identity are generated over time along the anatomic pathways of the medial temporal lobe

Factores de riesgo asociados a hipertensión arterial en gestantes de un hospital de Quevedo, 2022

La presente investigación tiene como objetivo determinar los factores de riesgo asociados con hipertensión arterial en gestantes de un hospital de Quevedo. El estudio se desarrolló con un enfoque cuantitativo e investigación aplicada y diseño no experimental, transeccional, de nivel descriptivo. Se trabajo con una con muestra censal de 51 gestantes con diagnóstico de hipertensión. Para la recolección de información se empleó la escala de factores de riesgo asociados a hipertensión arterial en gestantes diseñado y validado por Moran, (2022) para fines investigativos. El análisis de datos se realizó mediante el programa Excel. Los resultados muestran que en factores sociodemográficos predomina el grupo etario de 21 a 34 años (51%), no trabajan en el (47%) y su nivel económico es medio (76%). En factores familiares el (71%) de las gestantes tiene antecedentes familiares de HTA. El factor gineco obstétrico con mayor prevalencia es el peso gestacional inadecuado (65%), seguido de edad gestacional ≥ a 28 semanas (55%). Los factores personales determinaron una ingesta media de sal (78%) y grasas (71%), y el (45%) no realizan actividad física. En conclusión, el antecedente familiar de hipertensión, la situación laboral, los hábitos alimenticios y el peso gestacional se asocian con la hipertensión del embarazo

Accretion disk warping by resonant relaxation: The case of maser disk NGC4258

The maser disk around the massive black hole (MBH) in active galaxy NGC 4258 exhibits an O(10 deg) warp on the O(0.1 pc) scale. The physics driving the warp are still debated. Suggested mechanisms include torquing by relativistic frame dragging or by radiation pressure. We propose here a new warping mechanism: resonant torquing of the disk by stars in the dense cusp around the MBH. We show that resonant torquing can induce such a warp over a wide range of observed and deduced physical parameters of the maser disk.Comment: 4 pp, 2 figure

Comportamiento innovador de las PYME del departamento de Matagalpa, Jinotega, Estelí periodo 2016

La presente investigación tiene como propósito analizar el comportamiento Innovador, en las PYMES y el impacto en la empresa Navarrete soluciones en periodo 2016. La empresa Navarrete Soluciones es una empresa dedicada a la comercialización de productos y servicios en el sector de vidrio aluminio, cielo raso, gypsum y pvc. Como empresa tiene fijado su segmento de mercado a ingenieros, arquitectos, contratistas y administradores dueños casa o empresa. El propósito de la investigación es conocer el comportamiento innovador que realiza la empresa. Esta temática es de gran importancia tanto para los estudiantes como para la empresa, ya que le proporciona información muy importante para seguir innovando en los procesos y elaboración de productos y servicios. Mediante el estudio que se realizó se determina las diferentes innovaciones que se han aplicado en la empresa Navarrete Soluciones. La cual es de mucha importancia para el desarrollo en el mercado de bienes y servicios. La valoración del comportamiento innovador, es de mucha importancia ya que logra identificar donde está bien la empresa, y en que necesita mejorar para ser más productivo y satisfacer la demanda de los clientes. El comportamiento de la empresa Navarrete Soluciones es innovador Proactivo ya que ha visto que la empresa tiene una política de Investigación más Desarrollo, para innovar y diversificar sus productos con el fin de satisfacer a sus cliente

Evaluating potential policies for the UK perennial energy crop market to achieve carbon abatement and deliver a source of low carbon electricity

The electricity infrastructure in many developed countries requires significant investment to meet ambitious carbon emissions reduction targets, and to bridge the gap between future supply and demand. Perennial energy crops have the potential to deliver electricity generation capacity while reducing carbon emissions, leading to polices supporting the adoption of these crops. In the UK, for example, support has been in place over the past decade, although uptake and the market development have so far been relatively modest. This paper combines biophysical and socio-economic process representations within an agent-based model (ABM), to offer insights into the dynamics of the development of the perennial energy crop market. Against a changing policy landscape, several potential policy scenarios are developed to evaluate the cost-effectiveness of the market in providing a source of low carbon renewable electricity, and to achieve carbon emissions abatement. The results demonstrate the key role of both energy and agricultural policies in stimulating the rate and level of uptake; consequently influencing the cost-effectiveness of these measures. The UK example shows that energy crops have the potential to deliver significant emissions abatement (up to 24 Mt carbon dioxide equivalent year-1, 4% of 2013 UK total emissions), and renewable electricity (up to 29 TWh year-1, 8% of UK electricity or 3% of primary energy demand), but a holistic assessment of related policies is needed to ensure that support is cost-effective. However, recent policy developments suggest that domestically grown perennial energy crops will only play a niche role (<0.2%) of the UK energy balance