Data Processing In The Texas A & M University Library

The Texas A & M University Library embraced automation as a way of life when it became the first library in the Southwest to employ a Data Processing Supervisor as a full-time Library staff member in September, 1964. The creation of such a position as part of the Library staff was only one of several favorable circumstances which combined to provide the necessary foundation for the achievements outlined in this paper. In addition to an enthusiastic University administration which provided requested supplemental funds for a special conversion project, the Library has access to the University's centralized data processing facility, which is one of the largest such University installations in the Southwest. The Data Processing Center houses an IBM 7094-1401 computer system with 14 magnetic tape drives, two separate off-line 1401 tape systems (one with a 1404 printer), and a battery of high speed sorters, collators, and card punches. This tremendous hardware capability has proved to be a great asset to our automation program.published or submitted for publicatio

The Structural Evolution of Fort Frontenac

Fort Frontenac, located at the eastern end of Lake Ontario, in Kingston, Ontario, is among the earliest European sites in the Great Lakes Basin. The post was established in 1673 by Count Frontenac, then Governor of New France, as a means of intercepting furs destined for the Dutch and, later, the English merchants at Albany, New York. As the result of ongoing archaeological and historical research, a comprehensive structural history of the post has been developed. As the archaeological investigations have been restricted to the northwest bastion of the fort, that area will serve as the focus of the present review

After the Loyalists: The Archaeology of 19th Century Kingston

No abstract available at this time

A Case Report and Discussion Of Laryngotracheitis in Chickens

Respiratory diseases of poultry are some of the most costly problems plaguing today\u27s poultry industry. These respiratory diseases can be devastating to commercial and backyard flocks. Veterinarians in Iowa are occasionally asked to deal with acute resiratory disease outbreaks in one of the many backyard flocks in the state. One disease that must be considered under these circumstances is infectious laryngotracheitis (ILT). Few cases of ILT are diagnosed each year in Iowa. There may be more ILT cases which are incorrectly diagnosed due to the nondescript clinical signs of this disease

Comorbidity and polypharmacy in people with dementia:insights from a large, population-based cross-sectional analysis of primary care data

Background: The care of older people with dementia is often complicated by physical comorbidity and polypharmacy, but the extent and patterns of these have not been well described. This paper reports analysis of these factors within a large, cross-sectional Methods: Data were extracted for 291,169 people aged 65 years or older registered with 314 general practices in the UK, of whom 10,258 had an electronically recorded dementia diagnosis. Differences in the number and type of 32 physical conditions and the number of repeat prescriptions in those with and without dementia were examined. Age–gender standardised rates were used to calculate odds ratios (ORs) of physical comorbidity and polypharmacy. Results: People with dementia, after controlling for age and sex, had on average more physical conditions than controls (mean number of conditions 2.9 versus 2.4; P < 0.001) and were on more repeat medication (mean number of repeats 5.4 versus 4.2; P < 0.001). Those with dementia were more likely to have 5 or more physical conditions (age–sex standardised OR [sOR] 1.42, 95% confidence interval (CI) 1.35–1.50; P < 0.001) and were also more likely to be on 5 or more (sOR 1.46; 95% CI 1.40–1.52; P < 0.001) or 10 or more repeat prescriptions (sOR 2.01; 95% CI 1.90–2.12; P < 0.001). Conculsions: People with dementia have a higher burden of comorbid physical disease and polypharmacy than those without dementia, even after accounting for age and sex differences. Such complex needs require an integrated response from general health professionals and multidisciplinary dementia specialists

How does sex influence multimorbidity? Secondary analysis of a large nationally representative dataset

Multimorbidity increases with age and is generally more common in women, but little is known about sex effects on the “typology” of multimorbidity. We have characterized multimorbidity in a large nationally representative primary care dataset in terms of sex in ten year age groups from 25 years to 75 years and over, in a cross-sectional analysis of multimorbidity type (physical-only, mental-only, mixed physical and mental; and commonest conditions) for 1,272,685 adults in Scotland. Our results show that women had more multimorbidity overall in every age group, which was most pronounced in the 45–54 years age group (women 26.5% vs. men 19.6%; difference 6.9 (95% CI 6.5 to 7.2). From the age of 45, physical-only multimorbidity was consistently more common in men, and physical-mental multimorbidity more common in women. The biggest difference in physical-mental multimorbidity was found in the 75 years and over group (women 30.9% vs. men 21.2%; difference 9.7 (95% CI 9.1 to 10.2). The commonest condition in women was depression until the age of 55 years, thereafter hypertension. In men, drugs misuse had the highest prevalence in those aged 25–34 years, depression for those aged 35–44 years, and hypertension for 45 years and over. Depression, pain, irritable bowel syndrome and thyroid disorders were more common in women than men across all age groups. We conclude that the higher overall prevalence of multimorbidity in women is mainly due to more mixed physical and mental health problems. The marked difference between the sexes over 75 years especially warrants further investigation. © 2016 by the authors; licensee MDPI, Basel, Switzerland

Patient and public involvement in the ongoing applied artificial intelligence and complex health interventions co-design work

This briefing paper describes how we involved Patient and Public Involvement (PPI) methods in the ongoing applied artificial intelligence (AI) and complex interventions co-design project seeking to improve pathways of care for people with multiple long-term conditions (MLTCs) in Scotland. This project is part of the wider NIHR-funded programme called AIM-CISC (www.aim-cisc) which aims to use AI and state-of-the-art data science, social science, genomics, and health service research methods to understand the clustering of MLTCs within individuals, communities, and in key clinical contexts