Assessment of Non-Indexed Open Access Journals Impact

The journal impact factor remains a controversial metric and its widespread adoption has critical implications for the development of open access journals not indexed by the Web of Science. The present study evolved from collaborations with editors of a small open-access locally published social sciences journal to assess its global reach and research value according to the professed scope and mission of the journal. Using a combination of Google Scholar and BePress data, we built a customized multifaceted framework to measure the success of this journal beyond citation counts. Our analysis incorporated the bibliometric concepts of popularity and prestige, as well as measures of readership and global reach in order to quantify the journal\u27s impact for prospective contributors. This poster will highlight the issues and benefits of using various types of data available to assess the impact of a journal

Engaging Faculty and Students through Collection Assessment

How do faculty and graduate students provide input for collection development? How well have librarians understood the research needs of recently tenured faculty or recent graduates? Four librarians from four different collection areas- the humanities, the social sciences, and 2 unique areas in engineering- all set out to see if evaluating the collection against recent publications by faculty and students can foster stronger engagement between them and the subject collectors in their areas

mcLARO: Multi-Contrast Learned Acquisition and Reconstruction Optimization for simultaneous quantitative multi-parametric mapping

Purpose: To develop a method for rapid sub-millimeter T1, T2, T2* and QSM mapping in a single scan using multi-contrast Learned Acquisition and Reconstruction Optimization (mcLARO). Methods: A pulse sequence was developed by interleaving inversion recovery and T2 magnetization preparations and single-echo and multi-echo gradient echo acquisitions, which sensitized k-space data to T1, T2, T2* and magnetic susceptibility. The proposed mcLARO used a deep learning framework to optimize both the multi-contrast k-space under-sampling pattern and the image reconstruction based on image feature fusion. The proposed mcLARO method with R=8 under-sampling was validated in a retrospective ablation study using fully sampled data as reference and evaluated in a prospective study using separately acquired conventionally sampled quantitative maps as reference standard. Results: The retrospective ablation study showed improved image sharpness of mcLARO compared to the baseline network without multi-contrast sampling pattern optimization or image feature fusion, and negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values were obtained by the under-sampled reconstructions compared to the fully sampled reconstruction. The prospective study showed small or negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values by mcLARO (5:39 mins) compared to reference scans (40:03 mins in total). Conclusion: mcLARO enabled fast sub-millimeter T1, T2, T2* and QSM mapping in a single scan

The role of assistance dogs in society

Assistance dogs are specially trained to undertake a variety of tasks to help individuals with disabilities. This review gives an overview of the different types of assistance dogs in the UK, including guide dogs, hearing dogs, mobility assistance dogs, service dogs and dual purpose dogs. The literature describes many benefits of assistance dogs, including their impact on physical wellbeing and safety of their ‘owners,’ as well as on psychological wellbeing and social inclusion. The role of assistance dogs in society is widely recognized by the public, but is not currently acknowledged in government social policy. The current evidence on the benefits of assistance dogs is limited by the type and scale of current research. This article highlights the need for independent funding for high quality research to enable social care and policy makers to make evidence-based decisions on the value of assistance dogs to people with disabilities

A shared frequency set between the historical mid-latitude aurora records and the global surface temperature

Herein we show that the historical records of mid-latitude auroras from 1700 to 1966 present oscillations with periods of about 9, 10-11, 20-21, 30 and 60 years. The same frequencies are found in proxy and instrumental global surface temperature records since 1650 and 1850, respectively and in several planetary and solar records. Thus, the aurora records reveal a physical link between climate change and astronomical oscillations. Likely, there exists a modulation of the cosmic ray flux reaching the Earth and/or of the electric properties of the ionosphere. The latter, in turn, have the potentiality of modulating the global cloud cover that ultimately drives the climate oscillations through albedo oscillations. In particular, a quasi 60-year large cycle is quite evident since 1650 in all climate and astronomical records herein studied, which also include an historical record of meteorite fall in China from 619 to 1943. These findings support the thesis that climate oscillations have an astronomical origin. We show that a harmonic constituent model based on the major astronomical frequencies revealed in the aurora records is able to forecast with a reasonable accuracy the decadal and multidecadal temperature oscillations from 1950 to 2010 using the temperature data before 1950, and vice versa. The existence of a natural 60-year modulation of the global surface temperature induced by astronomical mechanisms, by alone, would imply that at least 60-70% of the warming observed since 1970 has been naturally induced. Moreover, the climate may stay approximately stable during the next decades because the 60-year cycle has entered in its cooling phase.Comment: 18 pages, 11 figure

Atypical glandular cells in conventional cervical smears: Incidence and follow-up

BACKGROUND: Atypical glandular cells on cervical smears are often associated with clinically significant uterine lesions. The frequency and accuracy of AGC-NOS (i.e. atypical glandular cells, not otherwise specified) diagnoses, regardless of the gland cell type or the degree of suspicion, and their outcome were investigated. METHODS: From January 1, 1990 to December 31, 1999 a total of 261 patients had an AGC-NOS diagnosis made by conventional cervical Papanicolaou smear interpretation representing 0.05% of all Pap-smears analyzed at the national level. 191 (73.2%) patients had a subsequent histological examination, 8 samples were not representative by origin and were excluded. RESULTS: Out of 183 AGC-NOS diagnosed, 56.3% (103/183) were associated with tissue-proven precancerous and/or cancerous lesions, 44% being of endocervical and 56% of endometrial origin. 75% of all AGC-patients were asymptomatic. 66.7% (6/9) of the patients with subsequent invasive endocervical adenocarcinoma (AC) and 56% (28/50) of those patients with invasive endometrial AC were without clinical symptoms. 3 patients out of 9 with an invasive endocervical AC were 35 years of age or less. 10.1% and 12.3% of all 'new' tissue-proven invasive endocervical or endometrial AC respectively recorded by the national Morphologic Tumour Registry (MTR) were first identified by a cytological AGC-NOS diagnosis. CONCLUSION: Our findings emphasize the importance of the cytological AGC-category even in the absence of a precise origin or cell type specification. 56% of the AGC-diagnoses being associated with significant cancerous or precancerous conditions, a complete and careful evaluation is required