Savage Words

Savage Words is a realtime massive multiplayer online text space as well as a collaborative poem and asynchronous chatroom. It is a corner of the internet built on the platform Your World of Text, an infinite grid of text editable by visitors. Throughout the conference period, participants can join in a communal writing, a textual table of simultaneous and asynchronous shared writing. ASCII images, freewheeling conversations, \u27Poetry\u27, and other forms of experimental text will be woven together into a freewheeling shared work. Screenshots of the unfolding text will be saved at regular intervals, to be published after the conclusion of the conference. Savage Words serves simultaneously as a place of experimentation, documentation, poesis, and communal conversation. Savage Word

Detection of optimal PEEP for equal distribution of tidal volume by volumetric capnography and electrical impedance tomography during decreasing levels of PEEP in post cardiac-surgery patients

Background Homogeneous ventilation is important for prevention of ventilator-induced lung injury. Electrical impedance tomography (EIT) has been used to identify optimal PEEP by detection of homogenous ventilation in non-dependent and dependent lung regions. We aimed to compare the ability of volumetric capnography and EIT in detecting homogenous ventilation between these lung regions. Methods Fiftee

Effect of arbuscular mycorrhizal on growth and yield performance of aerobic rice - a review / Tusnar Tusman

Arbuscular mycorrhizae fungi (AMF) are the mainly common in crops that grow in soil mineral, and very important for growing plants in nutrient-deficient substrates such as soil and sand dunes surrounding the volcano. Arbuscular mycorrhizae (AM) fungi are the largest population in plant community with high diversity such as tropical rainforests and temperate grasslands where they have a lot of potential host plants and can take advantage of their ability to colonize a wide variety of hosts. Also mycorrhizae plays an important role in the field of sustainable development agriculture and has been help of symbiosis associations with plant roots. There are several types of arbuscular mycorrhizal (AM) and many types of arbuscular mycorrhizal well recognized to colonize more than a few vegetables, fruits, grains, cereal and industrial crops in Malaysia such as Rice, Oil palm, Rubber and Cocoa. This paper highlighted the arbuscular mycorrhizae fungus (AMF) symbiosis with aerobic rice has excellent impression. Function mycorrhizae increased uptake of nutrients, the performance on growth and yield of arbusuc1ar mycorrhizal symbiosis with aerobic rice and perform as a bio-protection and bio control against pathogens. In order to further enhance the benefits of arbuscular mycorrhiza, it requires proper application fertilizers that need for plants, especially phosphorus fertilizer and low tillage management practices

Acquisition of biomedical signals using microphones of MEMS technology

En el presente trabajo se estudia y desarrolla un sistema para la adquisición de señales biomédicas basado en micrófonos de tecnología MEMS (del inglés Micro-Electro-Mechanical Systems). Los micrófonos MEMS están diseñados para operar en frecuencias de audio, mientras que el contenido espectral de algunas señales biomédicas se encuentra en frecuencias fuera de este rango. Por lo tanto, cada señal biomédica requiere un abordaje especial. En particular, en este trabajo se analiza la capacidad de los micrófonos MEMS para adquirir señales de presión en la vía aérea, pulso arterial y sonidos cardíacos. Luego de la adquisición y muestreo de las señales, cada una es filtrada y amplificada considerando su ancho de banda y su amplitud, y la respuesta en frecuencia de los MEMS es compensada cuando es necesario. Al obtener simultáneamente las señales de sonido cardíaco y pulso arterial, el sistema desarrollado permite la medición del tiempo de tránsito de pulso (PTT, del inglés Pulse Transit Time) el cual puede ser utilizado para realizar una estimación continua de la presión arterial. Se desarrolló un dispositivo y se realizaron mediciones de las señales consideradas. Las señales de presión en la vía aérea no resultaron fisiológicamente comprensibles. En cambio, las señales de pulso arterial mostraron similitud con las observadas en la bibliografía. Para el sonido cardíaco se obtuvieron los sonidos s1, s2 y, en algunos casos, s3. Se pudo realizar la medición de PTT de manera no invasiva, siendo este trabajo, por tanto, simiente para desarrollos futuros.A system for biomedical signal acquisition using MEMS microphones (Micro Electro-Mechanical Systems) as sensors is studied and developed. While these microphones are designed for audio, typical biomedical signals? spectrums are far below audio frequencies. Therefore, a special approach is required for acquiring biomedical signals using MEMS microphones. This paper is focused on consider these microphones for acquiring signals of pressure in the airway, arterial pulse, and heart sounds. After acquisition and sampling of the signals, each one is properly filtered and amplified considering its bandwidth and amplitude, and the frequency response of the MEMS is compensated when required. In addition, the developed system allows the measurement of the pulse transit time (PTT), allowing a continuous estimation of blood pressure, because it was possible simultaneously obtaining the heart sounds and the arterial pulse signal. Measurements on the signals acquired were performed. Airway pressure signals obtained were not physiologically understandable. On the other hand, arterial pulse signals showed similarity with those observed in the literature. The cardiac sound s1 and s2 were successfully obtained and, in some cases, s3 was also detected. It was possible to measure the PTT in a non-invasive way, resulting this work a first step for future works.Fil: Dip, Christian Damián. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Electrónica; ArgentinaFil: Lomello, Franco. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Electrónica; ArgentinaFil: Comas, Diego Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; ArgentinaFil: Tusman, Gerardo Horacio. Hospital Privado de Comunidad. Departamento de Anestesiología y Cuidados Intensivos; ArgentinaFil: Meschino, Gustavo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentin

Inteligencia Computacional en la aproximación funcional de capnogramas

En el estudio de la fisiología respiratoria y la medicina de cuidados intensivos es de relevancia la estimación de parámetros fisiológicos derivados de Capnografías Volumétricas, las cuales consisten en el registro de la concentración de dióxido de carbono (CO2) vs. el volumen espirado. El presente trabajo propone la utilización de una función obtenida a partir de un modelo difuso para el ajuste de capnogramas con el fin de calcular dos variables derivadas de interés: el espacio muerto anatómico y la pendiente de fase III. La metodología propuesta se compara con otra basada en una aproximación funcional clásica. El modelo propuesto presenta mejor ajuste a la morfología en capnogramas con dificultad en su modelización por el método clásico.Sociedad Argentina de Informática e Investigación Operativ

Reevaluating the imaging definition of tumor progression: perfusion MRI quantifies recurrent glioblastoma tumor fraction, pseudoprogression, and radiation necrosis to predict survival

INTRODUCTION: Contrast-enhanced MRI (CE-MRI) represents the current mainstay for monitoring treatment response in glioblastoma multiforme (GBM), based on the premise that enlarging lesions reflect increasing tumor burden, treatment failure, and poor prognosis. Unfortunately, irradiating such tumors can induce changes in CE-MRI that mimic tumor recurrence, so called post treatment radiation effect (PTRE), and in fact, both PTRE and tumor re-growth can occur together. Because PTRE represents treatment success, the relative histologic fraction of tumor growth versus PTRE affects survival. Studies suggest that Perfusion MRI (pMRI)–based measures of relative cerebral blood volume (rCBV) can noninvasively estimate histologic tumor fraction to predict clinical outcome. There are several proposed pMRI-based analytic methods, although none have been correlated with overall survival (OS). This study compares how well histologic tumor fraction and OS correlate with several pMRI-based metrics. METHODS: We recruited previously treated patients with GBM undergoing surgical re-resection for suspected tumor recurrence and calculated preoperative pMRI-based metrics within CE-MRI enhancing lesions: rCBV mean, mode, maximum, width, and a new thresholding metric called pMRI–fractional tumor burden (pMRI-FTB). We correlated all pMRI-based metrics with histologic tumor fraction and OS. RESULTS: Among 25 recurrent patients with GBM, histologic tumor fraction correlated most strongly with pMRI-FTB (r = 0.82; P < .0001), which was the only imaging metric that correlated with OS (P<.02). CONCLUSION: The pMRI-FTB metric reliably estimates histologic tumor fraction (i.e., tumor burden) and correlates with OS in the context of recurrent GBM. This technique may offer a promising biomarker of tumor progression and clinical outcome for future clinical trials