Alien Registration- Haggan, Thomas (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7080/thumbnail.jp

Alien Registration- Haggan, Jennie (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7078/thumbnail.jp

Alien Registration- Haggan, Helena (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7077/thumbnail.jp

A State Teachers College Serving Eastern Kentucky

Typescript of a radio broadcast by Henry Clay Haggan on November 14, 1935 on WCMI Ashland, Kentucky.https://scholarworks.moreheadstate.edu/college_histories/1012/thumbnail.jp

Alien Registration- Haggan, Maria (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7079/thumbnail.jp

Perceptions of trends in Seychelles artisanal trap fisheries: comparing catch monitoring, underwater visual census and fishers' knowledge

Fisheries scientists and managers are increasingly engaging with fishers' knowledge (FK) to provide novel information and improve the legitimacy of fisheries governance. Disputes between the perceptions of fishers and scientists can generate conflicts for governance, but can also be a source of new perspectives or understandings. This paper compares artisanal trap fishers' reported current catch rates with landings data and underwater visual census (UVC). Fishers' reports of contemporary 'normal' catch per day tended to be higher than recent median landings records. However, fishers' reports of 'normal' catch per trap were not significantly different from the median CPUE calculated from landings data, and reports of 'good' and 'poor' catch rates were indicative of variability observed in landings data. FK, landings and UVC data all gave different perspectives of trends over a ten-year period. Fishers' perceptions indicated greater declines than statistical models fitted to landings data, while UVC evidence for trends varied between sites and according to the fish assemblage considered. Divergence in trend perceptions may have resulted from differences in the spatial, temporal or taxonomic focus of each dataset. Fishers may have experienced and understood behavioural changes and increased fishing power, which may have obscured declines from landings data. Various psychological factors affect memory and recall, and may have affected these memory-based estimates of trends, while different assumptions underlying the analysis of both interview data and conventional scientific data could also have led to qualitatively different trend perceptions. Differing perspectives from these three data sources illustrate both the potential for 'cognitive conflicts' between stakeholders who do not rely on the same data sources, as well as the importance of multiple information sources to understand dynamics of fisheries. Collaborative investigation of such divergence may facilitate learning and improve fisheries governance

Acute upper gastrointestinal bleeding: a clinical review

Acute upper gastrointestinal bleeding (AUGIB) is one of the most common medical emergencies, with around 85 000 cases per year in the UK, and carries a 10% hospital mortality rate. Despite significant improvements in treatments, this mortality rate has not improved significantly in the past 50 years. Deaths are rarely directly associated with exsanguination but are related to poorly tolerated blood loss and resultant shock, aspiration and complications of therapeutic procedures. As such, mortality from AUGIB is strongly associated with advanced age and presence of severe comorbidity. This clinical review will define what AUGIB is and discuss its treatment and management. In addition, it will consider and critique the available scoring systems used for risk stratification of this condition, as well as offer insight into the research underpinning the relevant guidelines and service provision across the NHS

Adult Discouragement: Traditonal College Students

This study resulted in the development of the Discouragement Scale for Adults (DSA), an assessment instrument for the Adlerian construct of discouragement in adults more than 18 years of age. The DSA is a 60-item instrument that contains five sub-scales corresponding to five life tasks identified in Adlerian literature as work, love, society, self, and spirituality. Age, gender, and ethnicity norms were established for the DSA using a diverse sample (N=586). Additional normative data was developed with a presumed discouraged sample (N=47), and a special sample of traditional college students aged 18-27 years (N=531). Findings on the norm sample indicated that females are less discouraged than males on the Total DSA and on society and spirituality sub-scales. The 18-34 year old group was more discouraged than other age groups on the Total DSA and on work, society, and spirituality sub-scales. Presumed discouraged sample findings indicated that females were less discouraged than males on the society sub-scale. College student findings indicated that females were less discouraged than males on the Total DSA and sub-scales of love, society, spirituality, and work. A significant difference was found among ethnic groups in self sub-scales. Students with no absences per week were less discouraged than students with two absences per week. Students with lower grade point averages (GPA) were more discouraged on the Total DSA and work sub-scales. DSA internal consistency coefficients were .9392, .9496, and .9327 for norm, presumed discouraged, and college student samples respectively. Correlations between DSA and two social interest surveys reflect an inverse relationship between discouragement and social interest. Results indicate that the DSA is a useful assessment instrument for research and counseling purposes with college students. Further research should include greater geographical and ethnic diversity as well as validation among diverse college samples and non-traditional students. Additionally, a standard range of scores should be established to indicate varying levels of discouragement

Detecting periodicity in experimental data using linear modeling techniques

Fourier spectral estimates and, to a lesser extent, the autocorrelation function are the primary tools to detect periodicities in experimental data in the physical and biological sciences. We propose a new method which is more reliable than traditional techniques, and is able to make clear identification of periodic behavior when traditional techniques do not. This technique is based on an information theoretic reduction of linear (autoregressive) models so that only the essential features of an autoregressive model are retained. These models we call reduced autoregressive models (RARM). The essential features of reduced autoregressive models include any periodicity present in the data. We provide theoretical and numerical evidence from both experimental and artificial data, to demonstrate that this technique will reliably detect periodicities if and only if they are present in the data. There are strong information theoretic arguments to support the statement that RARM detects periodicities if they are present. Surrogate data techniques are used to ensure the converse. Furthermore, our calculations demonstrate that RARM is more robust, more accurate, and more sensitive, than traditional spectral techniques.Comment: 10 pages (revtex) and 6 figures. To appear in Phys Rev E. Modified styl