Sacred Flow: Discovering Life in God\u27s Rhythm

Today\u27s Christian spirituality largely neglects or misappropriates the believer\u27s mutual indwelling with Christ, thus leading to a legalistic spirituality. This project employs a phenomenon commonly known as flow or peak-experience, as described in psychological research and illustrated in particularly in sport, to reorient Christianity. Flow is a harmonious state of consciousness and experience in which one becomes totally absorbed in what one is doing, and where the mind and body are working together effortlessly. When integrated with Christianity, flow\u27s nature, elements, and effects inform and inspire a faith of full engagement and graceful rhythm. This project engages decades of cross-cultural psychological research findings related to peak-experience in order to establish and expound sacred flow, a Christian spirituality absorbed in and empowered by God\u27s presence (the mutual indwelling) manifesting a life in harmonious rhythm with God

Packed bed heat transfer

The use of various published correlations to determine apparent thermal conductivities was found to give results of differing ma; magnitudes. For this reason when these values were utilized in the theoretical relationships proposed by McAdams: tw-t2/tw-t1 = 0.692e-23.14X + 0.1312e-121.9X + 0.0535e-299.6X in which X is defined as X = (KaL/CpGoD2t) For packed bed systems the results were found to be inconsistent. In this investigation a dimensionless equation: Ka/kg = 0.00105 (DpGo/εpμ)1.32 has been developed which permits the prediction of apparent thermal conductivities to air flowing through a 1 inch tube picked with glass beads. The equation gives satisfactory results for ratios of Dp/Dt from 0.15 to 0.22 and a modified Reynolds number of 526 to 3990. The effect of voids in the packing material was studied and a porosity was included in the modified Reynolds number used in correlating the data

Civil Commitment: Is There a Constitutionally Based Right to Treatment

O\u27Connor v. Donaldson, 422 U.S. 563 (1975). A constitutionally based right to treatment for the civilly confined mental patient is now in its formative stage. Dr. Birnbaum in his seminal article was the first to suggest that the right to treatment had constitutional bases. The first member of the judiciary to suggest that the right to treatment had roots in either the eighth amendment, the equal protection clause or the due process clause of the fourteenth amendment was Judge Bazelon\u27 in Rouse v. Cameron. Bazelon\u27s dicta touched off a wave of scholarly commentary\u27 but received limited judicial recognition until recently. It was the due process clause that emerged as the prime candidate for establishing a substantive constitutional basis for this asserted right

Defective Design: Second Collision Injuries and the Burden of Producing Evidence

Nanda v. Ford Motor Co., 509 F.2d 213 (7th Cir. 1974) Nanda v. Ford Motor Co. involved an action against the Ford Motor Company for injuries sustained in a second collision2 with the proximate cause being a defect in design. The facts were as follows: At about 3:30 P.M. on October 29, 1967, plaintiff Chitta R. Nanda, driving alone in his 1967 Ford Cortina, stopped in the inner northbound lane of Route 45 in Urbana, Illinois, to wait for an opening in southbound traffic so that he could turn left into an access road. While his vehicle was stopped, the Cortina was struck in the rear by a 1962 Oldsmobile traveling at a speed as low as ten miles per hour. This collision injured no one and caused only relatively minor damage to the front of the Oldsmobile. The Cortina, however, was spun around and pushed into the southbound lanes, where it was struck in the rear by a southbound Rambler. The Rambler was traveling at about forty miles per hour when the driver saw the Cortina and applied the brakes, which grabbed before the collision with the Cortina. There was evidence that the collision with the Oldsmobile caused a small fire which was the size and shape of a grapefruit with a stream coming up from it on the rear of the Cortina and which, when the Rambler struck the Cortina, grew into a huge ball, enveloping the Cortina and the front of the Rambler. Almost instantaneously after the second collision the inside of the Cortina was engulfed in flames. Plaintiff suffered permanently disfiguring and disabling burns. The plaintiff was faced with the alternative of pursuing an action in strict liability, warranty, or common law negligence. The plaintiff elected strict liability, and a federal district court verdict in his favor was appealed to the Seventh Circuit Court of Appeals which affirmed the district court’s decision

BEAT: Bio-Environmental Android Tracking

Abstract-The popularity of wireless devices has been pushing the envelope for medical applications. These devices, paired with a personal health monitoring framework can enable early detection and increased quality of life of citizen of developed nations. These devices are helping supplement the available disease detection and treatment techniques, as well as increasing the quality of life of the users of the system. BEAT (Bio-Environmental Android Tracking) provides methods for collecting, processing, and archiving ones' daily vital and spatiotemporal statistics using commercially available biologic and environmental sensors. The device analyzes the data and attempts to classify the behavior by using context information from accelerometers, GPS, previous behavior, and user feedback. Algorithms are executed to calculate statistics (e.g. heartbeat variance, time above/below certain thresholds, and flag abnormal readings). Options are available for adjusting thresholds used to issue user and third party alerts automatically. In addition, statistics, previous records, and realtime data, can be displayed to the user or transmitted to a medical professional for analysis. Integration of additional bio-sensors including blood pressure, glucose, and weight will enable the BEAT framework to be a complete personal health monitoring system

El deseo de existir: Reflexiones en torno a los actuales abordajes institucionales de infancias y adolescencias trans y no binaries

A partir de distintas líneas de trabajo que venimos desarrollando desde el equipo de investigación UBACYT y como parte de la organización de las “I Jornadas sobre Experiencias Travestis y Trans: diálogos entre la organización colectiva, el territorio y la universidad”, nos proponemos recuperar algunas discusiones respecto de las infancias y adolescencias trans y no binaries…Fil: Roca, Alejandra Rosario. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Departamento de Ciencias Antropológicas; ArgentinaFil: Dellacasa, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; ArgentinaFil: Sposaro, Sebastián. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Ciencias Antropológicas; ArgentinaFil: Leanza, José Carlos. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Ciencias Antropológicas; ArgentinaFil: Ayala, Estefanía. Universidad de Buenos Aires. Facultad de Filosofía y Letras. Instituto de Ciencias Antropológicas; Argentin

Fall Classification by Machine Learning Using Mobile Phones

Fall prevention is a critical component of health care; falls are a common source of injury in the elderly and are associated with significant levels of mortality and morbidity. Automatically detecting falls can allow rapid response to potential emergencies; in addition, knowing the cause or manner of a fall can be beneficial for prevention studies or a more tailored emergency response. The purpose of this study is to demonstrate techniques to not only reliably detect a fall but also to automatically classify the type. We asked 15 subjects to simulate four different types of falls–left and right lateral, forward trips, and backward slips–while wearing mobile phones and previously validated, dedicated accelerometers. Nine subjects also wore the devices for ten days, to provide data for comparison with the simulated falls. We applied five machine learning classifiers to a large time-series feature set to detect falls. Support vector machines and regularized logistic regression were able to identify a fall with 98% accuracy and classify the type of fall with 99% accuracy. This work demonstrates how current machine learning approaches can simplify data collection for prevention in fall-related research as well as improve rapid response to potential injuries due to falls