Background/objective: The aim of this cross-sectional study is to determine the prevalence of opioid use in a large sample of fibromyalgia (FM) patients and examine the factors associated with opioid prescription/use despite multiple clinical guidelines that do not recommend opioid use in this population.
Methods: Data were collected from a convenience sample of 698 patients admitted from August 2017 to May 2019 into an intensive 2-day Fibromyalgia Treatment Program at a tertiary medical center in the United States after FM diagnosis. Patients were administered the Fibromyalgia Impact Questionnaire-Revised, the Center for Epidemiologic Study of Depression Scale, and the Pain Catastrophizing Scale upon admission to the program.
Two groups independently sequenced the Agrobacterium tumefaciens C58 genome in 2001. We report here consolidation of these sequences, updated annotation, and additional analysis of the evolutionary history of the linear chromosome, which is apparently limited to the biovar I group of Agrobacterium.
View Article and Find Full Text PDFThe brown planthopper, Nilaparvata lugens, is an economically significant pest of rice throughout Asia and has evolved resistance to many insecticides including the neonicotinoid imidacloprid. The resistance of field populations of N. lugens to imidacloprid has been attributed to enhanced detoxification by cytochrome P450 monooxygenases (P450s), although, to date, the causative P450(s) has (have) not been identified.
View Article and Find Full Text PDFThe aphid Myzus persicae is a globally significant crop pest that has evolved high levels of resistance to almost all classes of insecticide. To date, the neonicotinoids, an economically important class of insecticides that target nicotinic acetylcholine receptors (nAChRs), have remained an effective control measure; however, recent reports of resistance in M. persicae represent a threat to the long-term efficacy of this chemical class.
View Article and Find Full Text PDFThe purpose of our study is to identify and quantify the association between high breast mass density and breast malignancy using inductive logic programming (ILP) and conditional probabilities, and validate this association in an independent dataset. We ran our ILP algorithm on 62,219 mammographic abnormalities. We set the Aleph ILP system to generate 10,000 rules per malignant finding with a recall >5% and precision >25%.
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