Proactive Stance of Social Workers and Physicians Toward Working with Individuals and Families Affected by Alcoholism

The University Archives has determined that this item is of continuing value to OSU's history.Presenter: Major John James Cassidy, Ph.D., Clinical Director, Tri Services Alcoholism Recovery Facility, United States Air Force, Tripler Army Medical Center, Honolulu, Hawaii - "Proactive Stance of Social Workers and Physicians Toward Working with Individuals and Families Affected by Alcoholism".The Ohio State University College of Social Wor

Irrotational flow over spillways of finite height

"Reprinted from Journal of the Engineering Mechanics Division Proceedings of the American Society of Civil Engineers, Volume 91, Number EM6, December, 1965.""December, 1965."Potential theory is used to analyze free-surface, irrotational flow over spillways of finite height. Numerical values were obtained for free-surface coordinates, pressures on the surface of the spillway, and discharge coefficients for three separate spillway shapes. The spillways considered included (a) one corresponding to the shape of the nappe produced by flow over a ventilated, sharp-crested weir, (b) one corresponding to the shape of the nappe produced by flow over a ventilated, sharp-crested weir with negative pressure head beneath the nappe equal to one-half the head on the weir, and (c) one having vertical upstream face, a cylindrical crest, and a downstream tangent inclined 30 degrees from the vertical. Because flows of several heads were analyzed for each spillway, certain conclusions were drawn relative to spillway operation under high heads

Designing for GDPR - Investigating Children’s Understanding of Privacy: A Survey Approach

The General Data Protection Regulation (GDPR) places new obligations on businesses that collect and process data from children. It goes so far as to say that privacy notices should be presented in child-friendly and age appropriate formats. Fulfilling GDPR obligations will require designers to have a better understanding of how children understand privacy issues. This research aims to investigate children’s understanding of privacy online. Thirty-two children from a UK primary school, aged between 8 years and 10 years old completed a survey to gauge their understanding of privacy. Eight different scenarios were presented to the children and they had to decide whether the information should be kept private or not and state the reason why. This work identifies that children do have an understanding of privacy, especially when related to online safety. However, children do not yet understand that their data has an inherent value, have misconceptions about data and what data should be protected. This highlights the challenges for designers of technology used by children to meet the GDPR obligations

Child-Centered Security

Children are spending more time online through the use of digital toys, games and the internet. These activities make children potentially vulnerable to security threats. This position paper puts forward an argument for and against creating a new research discipline in child-centered security, as a fusion of user-centered security and child computer interaction

Evaluation of Salmon (<i>Salmo salar</i>) and Rainbow Trout (<i>Oncorhynchus mykiss</i>) pin bones using textural analysis and micro X-ray computational tomography

Industrially, common problems arise with the deboning pin bone process, where Atlantic Salmon (Salmo salar) and Rainbow Trout (Oncorhynchus mykiss) fillets, post rigor, are subjected to a pulling process to remove the pin bones from the fillet. This study measured the length of pin bones from two species of fish and two different industrial graded weights, and then used a texture analyser and lCT X-ray to measure the pulling force, break point and volume of the pin bones of both species of fish. Results showed that salmon pin bones required significantly higher pulling force to remove pin bones from the fish fillet when compared with Trout pin bones. Interestingly Trout pin bones were significantly longer and stronger than Salmon pin bones, but had significantly lower volume. This research has progressed the issues surrounding pin boning industrially, however, more studies are required in order to understand if these differences affect the overall deboning pin bone process

The effect of collagenase, water and calcium chloride on the removal of <i>Salmo salar</i> (salmon) and <i>Oncorhynchus mykiss</i> (trout) pin bones

The aim of this study was to determine the influence of the fillet structure on the deboning force required to remove salmon and trout pin bones. Salmon and trout fillets with differing fillet structure were used, in order to study the importance of the fillet structure on the deboning process. In the first test naturally gaping and non-gaping fillets were compared. To confirm the role that the collagen plays within the fillet structure, the fillets underwent series of treatments. Fillets were put into (i) a collagenase solution to remove the collagen in the fillet (ii) a calcium chloride solution to determine if collagen was the main influential factor. Both treated salmon and trout fillets were again compared to untreated fillets from the same batch. The results indicate that collagenase and calcium chloride have a large interaction on deboning force compared to water or no treatments

Patterns, causes, and consequences of marine larval dispersal

Quantifying the probability of larval exchange among marine populations is key to predicting local population dynamics and optimizing networks of marine protected areas. The pattern of connectivity among populations can be described by the measurement of a dispersal kernel. However, a statistically robust, empirical dispersal kernel has been lacking for any marine species. Here, we use genetic parentage analysis to quantify a dispersal kernel for the reef fish Elacatinus lori, demonstrating that dispersal declines exponentially with distance. The spatial scale of dispersal is an order of magnitude less than previous estimates—the median dispersal distance is just 1.7 km and no dispersal events exceed 16.4 km despite intensive sampling out to 30 km from source. Overlaid on this strong pattern is subtle spatial variation, but neither pelagic larval duration nor direction is associated with the probability of successful dispersal. Given the strong relationship between distance and dispersal, we show that distance-driven logistic models have strong power to predict dispersal probabilities. Moreover, connectivity matrices generated from these models are congruent with empirical estimates of spatial genetic structure, suggesting that the pattern of dispersal we uncovered reflects long-term patterns of gene flow. These results challenge assumptions regarding the spatial scale and presumed predictors of marine population connectivity. We conclude that if marine reserve networks aim to connect whole communities of fishes and conserve biodiversity broadly, then reserves that are close in space (<10 km) will accommodate those members of the community that are short-distance dispersers.We thank Diana Acosta, Alben David, Kevin David, Alissa Rickborn, and Derek Scolaro for assistance with field work; Eliana Bondra for assistance with molecular work; and Peter Carlson for assistance with otolith work. We are grateful to Noel Anderson, David Lindo, Claire Paris, Robert Warner, Colleen Webb, and two anonymous reviewers for comments on this manuscript. This work was supported by National Science Foundation (NSF) Grant OCE-1260424, and C.C.D. was supported by NSF Graduate Research Fellowship DGE-1247312. All work was approved by Belize Fisheries and Boston University Institutional Animal Care and Use Committee. (OCE-1260424 - National Science Foundation (NSF); DGE-1247312 - NSF Graduate Research Fellowship)Published versio

A public communication system

Report: 55, [6] p., digital fileA study of the use of the new communications technology by government to enhance citizen participation and increase program effectiveness.Government of Ontario, Committee on Government Productivity; Institute of Urban Studie

Gibbs Sampling with Low-Power Spiking Digital Neurons

Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition. Inference and learning in these algorithms uses a Markov Chain Monte Carlo procedure called Gibbs sampling. A sigmoidal function forms the kernel of this sampler which can be realized from the firing statistics of noisy integrate-and-fire neurons on a neuromorphic VLSI substrate. This paper demonstrates such an implementation on an array of digital spiking neurons with stochastic leak and threshold properties for inference tasks and presents some key performance metrics for such a hardware-based sampler in both the generative and discriminative contexts.Comment: Accepted at ISCAS 201