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https://www.readbyqxmd.com/read/28229194/screening-level-assessment-of-metal-concentrations-in-streambed-sediments-and-floodplain-soils-within-the-grand-lake-watershed-in-northeastern-oklahoma-usa
#1
Ean M Garvin, Cas F Bridge, Meredith S Garvin
Metal releases have been received by the Grand Lake watershed from the Tri-State Mining District (TSMD) since the mid 1800s. To address data gaps in metal distributions in the Oklahoma portion of the watershed, streambed sediment and floodplain soil was sampled on various streams. The <63-µm fraction was analyzed for Cd, Pb, and Zn concentrations by portable X-ray fluorescence spectroscopy and inductively coupled plasma-mass spectrometry. Mean metal concentration results at reference transects indicated that background sediment/soil concentrations for Cd, Pb, and Zn within the watershed were 0...
February 22, 2017: Archives of Environmental Contamination and Toxicology
https://www.readbyqxmd.com/read/28229132/representing-documents-via-latent-keyphrase-inference
#2
Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R Voss, Jiawei Han
Many text mining approaches adopt bag-of-words or n-grams models to represent documents. Looking beyond just the words, i.e., the explicit surface forms, in a document can improve a computer's understanding of text. Being aware of this, researchers have proposed concept-based models that rely on a human-curated knowledge base to incorporate other related concepts in the document representation. But these methods are not desirable when applied to vertical domains (e.g., literature, enterprise, etc.) due to low coverage of in-domain concepts in the general knowledge base and interference from out-of-domain concepts...
April 2016: Proceedings of the International World-Wide Web Conference
https://www.readbyqxmd.com/read/28226908/s2ni-a-mobile-platform-for-nutrition-monitoring-from-spoken-data
#3
Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Niloofar Hezarjaribi, Cody A Reynolds, Drew T Miller, Naomi Chaytor, Hassan Ghasemzadeh, Hassan Ghasemzadeh, Cody A Reynolds, Naomi Chaytor, Niloofar Hezarjaribi, Drew T Miller
Diet and physical activity are important lifestyle and behavioral factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used in the past to objectively measure physical activity or detect eating time. Diet monitoring, however, still relies on self-recorded data by end users where individuals use mobile devices for recording nutrition intake by either entering text or taking images. Such approaches have shown low adherence in technology adoption and achieve only moderate accuracy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226494/upper-extremity-prosthesis-user-perspectives-on-unmet-needs-and-innovative-technology
#4
Heather L Benz, Jia Yao, Laura Rose, Okan Olgac, Karen Kreutz, Anindita Saha, Eugene F Civillico, Heather L Benz, Jia Yao, Laura Rose, Okan Olgac, Karen Kreutz, Anindita Saha, Eugene F Civillico, Laura Rose, Heather L Benz, Anindita Saha, Okan Olgac, Eugene F Civillico, Karen Kreutz, Jia Yao
The needs of individuals with upper limb amputation and congenital limb difference are not being fully met by current prostheses, as evidenced by prosthesis rejection, non-wear, and user reports of pain and challenging activities. Emerging technologies such as dexterous sensorized robotic limbs, osseointegrated prostheses, implantable EMG electrodes, and electrical stimulation for sensory feedback have the potential to address unmet needs, but pose additional risks. We plan to assess upper limb prosthesis user needs and perspectives on these new benefits and risks using an extensive quantitative survey...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225587/compms2miner-an-automatable-metabolite-identification-visualization-and-data-sharing-r-package-for-high-resolution-lc-ms-datasets
#5
William Matthew Bell Edmands, Lauren M Petrick, Dinesh Kumar Barupal, Augustin Scalbert, Mark Wilson, Jeffrey Wickliffe, Stephen M Rappaport
A long-standing challenge of untargeted metabolomic profiling by ultrahigh performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS) is efficient transition from unknown mass spectral features to confident metabolite annotations. The compMS2Miner (Comprehensive MS2 Miner) package was developed in the R language to facilitate rapid, comprehensive feature annotation using a peak-picker-output and MS2 data files as inputs. The number of MS2 spectra that can be collected during a metabolomic profiling experiment far outweigh the amount of time required for pain-staking manual interpretation, therefore a degree of software workflow autonomy is required for broad-scale metabolite annotation...
February 22, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28219417/documenting-research-with-transgender-and-gender%C3%A2-diverse-people-protocol-for-an-evidence-map-and-thematic-analysis
#6
Zack Marshall, Vivian Welch, James Thomas, Fern Brunger, Michelle Swab, Ian Shemilt, Chris Kaposy
BACKGROUND: There is limited information about how transgender, gender diverse, and Two-Spirit (trans) people have been represented and studied by researchers. The objectives of this study are to (1) map and describe trans research in the social sciences, sciences, humanities, health, education, and business, (2) identify evidence gaps and opportunities for more responsible research with trans people, (3) assess the use of text mining for study identification, and (4) increase access to trans research for key stakeholders through the creation of a web-based evidence map...
February 20, 2017: Systematic Reviews
https://www.readbyqxmd.com/read/28215179/development-of-a-definition-for-the-alcohol-hangover-consumer-descriptions-and-expert-consensus
#7
Marith Van Schrojenstein Lantman, A J A E van de Loo, Marlou Mackus, Joris C Verster
Up to now there is no adequate definition of the alcohol hangover. The purpose of the current study was to develop a useful definition, and consensus among those who will use it in scientific publications. A survey was conducted among N=1099 social drinkers who recently had a hangover. They were asked to provide their definition of the alcohol hangover. Text mining and content analysis revealed 3 potential definitions. These were submitted to members of the Alcohol Hangover Research Group, who were asked to give their expert opinion on the proposed definitions...
16, 2017: Current Drug Abuse Reviews
https://www.readbyqxmd.com/read/28203090/exploring-targeted-therapy-of-osteosarcoma-using-proteomics-data
#8
Parunya Chaiyawat, Jongkolnee Settakorn, Apiruk Sangsin, Pimpisa Teeyakasem, Jeerawan Klangjorhor, Aungsumalee Soongkhaw, Dumnoensun Pruksakorn
Despite multimodal therapeutic treatments of osteosarcoma (OS), some patients develop resistance to currently available regimens and eventually end up with recurrent or metastatic outcomes. Many attempts have been made to discover effective drugs for improving outcome; however, due to the heterogeneity of the disease, new therapeutic options have not yet been identified. This study aims to explore potential targeted therapy related to protein profiles of OS. In this review of proteomics studies, we extracted data on differentially expressed proteins (DEPs) from archived literature in PubMed and our in-house repository...
2017: OncoTargets and Therapy
https://www.readbyqxmd.com/read/28200120/nala-text-mining-natural-language-mutation-mentions
#9
Juan Miguel Cejuela, Aleksandar Bojchevski, Carsten Uhlig, Rustem Bekmukhametov, Sanjeev Kumar Karn, Shpend Mahmuti, Ashish Baghudana, Ankit Dubey, Venkata P Satagopam, Burkhard Rost
No abstract text is available yet for this article.
February 13, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28172927/p316-new-approaches-for-ibd-management-based-on-text-mining-of-digitalised-medical-reports-and-latent-class-modelling
#10
F Bergey, E Saccenti, D Jonkers, T van den Heuvel, S Jeuring, M Pierik, V Martins Dos Santos
No abstract text is available yet for this article.
February 1, 2017: Journal of Crohn's & Colitis
https://www.readbyqxmd.com/read/28152730/addressing-patient-needs-through-compilation-of-self-reported-verbatim-comments
#11
Diane Denny, Sarah Hizon, Danielle Kendrick, Maurie Markman
: 111 Background: Cancer Treatment Centers of America, Inc. (CTCA) is a national network of five hospitals that specialize in the treatment of patients fighting complex or advanced-stage cancer. The Symptom Inventory Tool (SIT) is an assessment that captures the patients' perceived symptom burden, from baseline and every 21 days thereafter. The SIT is comprised of questions utilizing the M.D. Anderson Symptom Inventory tool, with eight questions and a free text box added by CTCA. Patient comments are provided in approximately 5% of all assessments (representing 3,700 comments) since initiation of the SIT...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28150246/iptmnet-integrative-bioinformatics-for-studying-ptm-networks
#12
Karen E Ross, Hongzhan Huang, Jia Ren, Cecilia N Arighi, Gang Li, Catalina O Tudor, Mengxi Lv, Jung-Youn Lee, Sheng-Chih Chen, K Vijay-Shanker, Cathy H Wu
Protein post-translational modification (PTM) is an essential cellular regulatory mechanism, and disruptions in PTM have been implicated in disease. PTMs are an active area of study in many fields, leading to a wealth of PTM information in the scientific literature. There is a need for user-friendly bioinformatics resources that capture PTM information from the literature and support analyses of PTMs and their functional consequences. This chapter describes the use of iPTMnet ( http://proteininformationresource...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28150240/analysis-of-protein-phosphorylation-and-its-functional-impact-on-protein-protein-interactions-via-text-mining-of-the-scientific-literature
#13
Qinghua Wang, Karen E Ross, Hongzhan Huang, Jia Ren, Gang Li, K Vijay-Shanker, Cathy H Wu, Cecilia N Arighi
Post-translational modifications (PTMs) are one of the main contributors to the diversity of proteoforms in the proteomic landscape. In particular, protein phosphorylation represents an essential regulatory mechanism that plays a role in many biological processes. Protein kinases, the enzymes catalyzing this reaction, are key participants in metabolic and signaling pathways. Their activation or inactivation dictate downstream events: what substrates are modified and their subsequent impact (e.g., activation state, localization, protein-protein interactions (PPIs))...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28118920/a-tale-of-two-countries-international-comparison-of-online-doctor-reviews-between-china-and-the-united-states
#14
Haijing Hao, Kunpeng Zhang, Weiguang Wang, Gordon Gao
BACKGROUND: Worldwide, patients have posted millions of online reviews for their doctors. The rich textual information in the online reviews holds the potential to generate insights into how patients' experience with their doctors differ across nations and how should we use them to improve our health service. OBJECTIVE: We apply customized text mining techniques to compare online doctor reviews from China and the United States, in order to measure the systematic differences in patient reviews between the two countries, and assess the potential insights that can be derived from this large volume of online text data...
March 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28118024/e-cigarette-topics-shared-by-medical-professionals-a-comparison-of-tweets-from-the-united-states-and-united-kingdom
#15
Elizabeth M Glowacki, Allison J Lazard, Gary B Wilcox
Medical professionals are now relying on social media platforms like Twitter to express their recommendations for the use or avoidance of products like electronic cigarettes (e-cigs), which may have long-term health consequences for users. The goal of this study is to compare how physicians from the United States and the United Kingdom talk about e-cigs on Twitter and identify the topics that these groups perceive as salient. Comparing tweets from the U.S. and U.K. will allow for a better understanding of how medical professionals from these countries differ in their attitudes toward e-cigs...
February 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28113438/improving-biochemical-named-entity-recognition-performance-using-pso-classifier-selection-and-bayesian-combination-method
#16
Abbas Akkasi, Ekrem Varoglu
Named Entity Recognition (NER) is a basic step for large number of consequent text mining tasks in the biochemical domain. Increasing the performance of such recognition systems is of high importance and always poses a challenge. In this study, a new community based decision making system is proposed which aims at increasing the efficiency of NER systems in the chemical/drug name context. Particle Swarm Optimization (PSO) algorithm is chosen as the expert selection strategy along with the Bayesian combination method to merge the outputs of the selected classifiers as well as evaluate the fitness of the selected candidates...
May 18, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28110455/influence-of-environmental-and-anthropogenic-factors-at-the-bottom-sediments-in-a-doce-river-tributary-in-brazil
#17
Deyse Almeida Dos Reis, Aníbal da Fonseca Santiago, Laura Pereira Nascimento, Hubert Mathias Peter Roeser
In developing countries, it is uncommon to find watersheds that have been the object of detailed environmental studies. It makes the assessment of the magnitude of environmental impacts and pollution of these sites difficult. This research demonstrated ways to understand the dynamics of river bottom sediments contamination, even for watersheds with a lack of environmental data. Based on geochemical affinity, we conducted a comprehensive study on the concentration of metals and metalloids. Then, we discussed the probable origin of the concentration of these elements at the bottom sediment along the Matipó River...
January 22, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28108733/systematic-analysis-of-molecular-mechanisms-for-hcc-metastasis-via-text-mining-approach
#18
Cheng Zhen, Caizhong Zhu, Haoyang Chen, Yiru Xiong, Junyuan Tan, Dong Chen, Jin Li
OBJECTIVE: To systematically explore the molecular mechanism for hepatocellular carcinoma (HCC) metastasis and identify regulatory genes with text mining methods. RESULTS: Genes with highest frequencies and significant pathways related to HCC metastasis were listed. A handful of proteins such as EGFR, MDM2, TP53 and APP, were identified as hub nodes in PPI (protein-protein interaction) network. Compared with unique genes for HBV-HCCs, genes particular to HCV-HCCs were less, but may participate in more extensive signaling processes...
January 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/28108352/commentary-on-epc-methods-an-exploration-of-the-use-of-text-mining-software-in-systematic-reviews
#19
Robin Paynter, Lionel L Bañez, Eileen Erinoff, Jennifer Matsuura, Shannon Potter
No abstract text is available yet for this article.
January 17, 2017: Journal of Clinical Epidemiology
https://www.readbyqxmd.com/read/28104580/leveraging-electronic-health-care-record-information-to-measure-pressure-ulcer-risk-in-veterans-with-spinal-cord-injury-a-longitudinal-study-protocol
#20
Stephen L Luther, Susan S Thomason, Sunil Sabharwal, Dezon K Finch, James McCart, Peter Toyinbo, Lina Bouayad, Michael E Matheny, Glenn T Gobbel, Gail Powell-Cope
BACKGROUND: Pressure ulcers (PrUs) are a frequent, serious, and costly complication for veterans with spinal cord injury (SCI). The health care team should periodically identify PrU risk, although there is no tool in the literature that has been found to be reliable, valid, and sensitive enough to assess risk in this vulnerable population. OBJECTIVE: The immediate goal is to develop a risk assessment model that validly estimates the probability of developing a PrU...
January 19, 2017: JMIR Research Protocols
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