Institution
Boise State University
Education•Boise, Idaho, United States•
About: Boise State University is a education organization based out in Boise, Idaho, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.
Topics: Population, Computer science, Poison control, Context (language use), Educational technology
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the three strongest predictors of skin self-examination performance were attitude, having dermatology visits with skin biopsies and at least one skin carcinoma in the previous 3 years, and confidence in performance.
Abstract: BACKGROUND
Skin self-examination (SSE) may reduce the death rate from melanoma by as much as 63%. Enhancing SSE performance may reduce mortality and morbidity. This study determined predictors of SSE performance in a population of individuals who were at risk of developing melanoma or nonmelanoma skin carcinoma (NMSC).
METHODS
Patients (n = 200) were asked about their knowledge of the warning signs, their sense of the importance of SSE to them, their attitude about and confidence in their ability to perform SSE, and their impression of their partner's comfort and ability with assisting in the skin examination. The interval since last skin examination, the number of physician visits (nondermatologist and dermatologist), the number and type of skin malignancies, the time since initial diagnosis, the number of skin biopsies, and health insurance status were determined from the medical records for the prior 3 years.
RESULTS
Seventy percent of participants performed SSE. The three strongest predictors of SSE performance were attitude, having dermatology visits with skin biopsies and at least one skin carcinoma in the previous 3 years, and confidence in performance (P = 0.0001). Other predictors of SSE performance were perceived risk (P = 0.0001), knowledge (P = 0.004), and younger age (P = 0.045).
CONCLUSIONS
Annual skin examination by physicians and monthly SSE by patients reinforce one another in promoting early detection. In this high-risk population, the dermatologist reinforced SSE performance by biopsy of skin lesions that were skin malignancies. People have intimate knowledge of their own skin and bear the consequences for failure to detect and treat skin carcinoma early; thus, monthly SSE becomes relevant as a personal health-promotion habit. Cancer 2002;95:135–46. © 2002 American Cancer Society.
DOI 10.1002/cncr.10637
96 citations
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TL;DR: An exploration of top 20 ‘liked’ infographics on a popular infographic sharing website is reported on to better understand what makes an effective infographic in order to better prepare graduate students as consumers and designers of infographics.
Abstract: People learn and remember more efficiently and effectively through the use of text and visuals than through text alone. Infographics are one way of presenting complex and dense informational content in a way that supports cognitive processing, learning, and future recognition and recollection. But the power of infographics is that they are a way of delivering the maximum amount of content in the least amount of space while still being precise and clear; because they are visual presentations as opposed to oral or text presentations, they can quickly tell a story, show relationships, and reveal structure. The following paper reports on an exploration of top 20 ‘liked’ infographics on a popular infographic sharing website to better understand what makes an effective infographic in order to better prepare graduate students as consumers and designers of infographics. The paper concludes with recommendations and strategies on how educators might leverage the power of infographics in their classrooms.
96 citations
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TL;DR: A large set of personal emails is used for the purpose of folder and subject classifications and classification based on NGram is shown to be the best for such large text collection especially as text is Bi-language.
Abstract: Information users depend heavily on emails' system as one of the major sources of communication Its importance and usage are continuously growing despite the evolution of mobile applications, social networks, etc Emails are used on both the personal and professional levels They can be considered as official documents in communication among users Emails' data mining and analysis can be conducted for several purposes such as: Spam detection and classification, subject classification, etc In this paper, a large set of personal emails is used for the purpose of folder and subject classifications Algorithms are developed to perform clustering and classification for this large text collection Classification based on NGram is shown to be the best for such large text collection especially as text is Bi-language (ie with English and Arabic content)
95 citations
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TL;DR: A probable role for IFN-γ in modulating hepatocyte fate during liver regeneration, transplantation, hepatitis, fibrosis and hepatocellular carcinoma is described, and promising areas of research are highlighted that may lead to the development of IFn-γ as a therapy to enhance recovery from liver disease.
95 citations
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University of California, Irvine1, Oklahoma State University–Stillwater2, Stockholm University3, Yale University4, Uppsala University5, Concordia University6, Fairleigh Dickinson University7, École Polytechnique de Montréal8, California State University, Long Beach9, University of Alabama10, New York City College of Technology11, Boise State University12, Kuwait Institute for Scientific Research13, VU University Amsterdam14, Utrecht University15
TL;DR: In this paper, the authors define anthropogenic drought as a compound multidimensional and multiscale phenomenon, governed by the combination of natural water variability, climate change, human decisions and activities, and altered micro-climate conditions due to changes in land and water management.
Abstract: © 2021. American Geophysical Union. All Rights Reserved.Traditional, mainstream definitions of drought describe it as deficit in water-related variables or water-dependent activities (e.g., precipitation, soil moisture, surface and groundwater storage, and irrigation) due to natural variabilities that are out of the control of local decision-makers. Here, we argue that within coupled human-water systems, drought must be defined and understood as a process as opposed to a product to help better frame and describe the complex and interrelated dynamics of both natural and human-induced changes that define anthropogenic drought as a compound multidimensional and multiscale phenomenon, governed by the combination of natural water variability, climate change, human decisions and activities, and altered micro-climate conditions due to changes in land and water management. This definition considers the full spectrum of dynamic feedbacks and processes (e.g., land-atmosphere interactions and water and energy balance) within human-nature systems that drive the development of anthropogenic drought. This process magnifies the water supply demand gap and can lead to water bankruptcy, which will become more rampant around the globe in the coming decades due to continuously growing water demands under compounding effects of climate change and global environmental degradation. This challenge has de facto implications for both short-term and long-term water resources planning and management, water governance, and policymaking. Herein, after a brief overview of the anthropogenic drought concept and its examples, we discuss existing research gaps and opportunities for better understanding, modeling, and management of this phenomenon.
94 citations
Authors
Showing all 3902 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jeffrey G. Andrews | 110 | 562 | 63334 |
Zhu Han | 109 | 1407 | 48725 |
Brian R. Flay | 89 | 325 | 26390 |
Jeffrey W. Elam | 83 | 435 | 24543 |
Pramod K. Varshney | 79 | 894 | 30834 |
Scott Fendorf | 79 | 244 | 21035 |
Gregory F. Ball | 76 | 342 | 21193 |
Yan Wang | 72 | 1253 | 30710 |
David C. Dunand | 72 | 527 | 19212 |
Juan Carlos Diaz-Velez | 64 | 334 | 14252 |
Michael K. Lindell | 62 | 186 | 19865 |
Matthew J. Kohn | 62 | 164 | 13741 |
Maged Elkashlan | 61 | 294 | 14736 |
Bernard Yurke | 58 | 242 | 17897 |
Miguel Ferrer | 58 | 478 | 11560 |