5,129 research outputs found
The effects of eyestalk ablation on acid-base balance and haemocyanin concentration in grass shrimp, Penaeus monodon Fabricius, 1798 (Decapoda, Natantia).
No full texte-Health Interventions for Community-Dwelling Type 2 Diabetes: A Scoping Review
No full textBACKGROUND: Because type 2 diabetes mellitus is a critical health problem with increasing incidence, prevalence, and complications worldwide, e-health has been widely utilized for management in type 2 diabetes. INTRODUCTION: This scoping review of meta-analyses and systematic reviews on e-health interventions aimed to examine service platforms, program types, outcomes, current status of research activities, research gaps, and the effectiveness of type 2 diabetes self-care management among community-dwelling adults. MATERIALS AND METHODS: Arksey and O'Malley's method was adopted for this review. The Ovid MEDLINE and Ovid EMBASE databases were searched from inception until April 2018. Two reviewers independently screened, selected, and charted studies using a piloted charting form. Discrepancies were resolved by consensus, and results were collated, summarized, and thematically analyzed. RESULTS: The final studies (N = 81) related to e-health interventions included systematic reviews/meta-analyses on clinical effectiveness (n = 64), usability (n = 14), and behavioral outcomes (n = 47). The commonest e-health intervention subtypes for type 2 diabetes care were patient monitoring (53/163, 32.5%), treatment adherence (50/163, 30.7%), and diabetes-related advice/education (34/163, 20.9%). Mobile devices were most often used to provide e-health services (57/142, 40.1%), followed by the internet (41/142, 28.9%). The e-health strategy that was effective in controlling blood glucose in type 2 diabetes patients was a multimodal intervention comprising treatment advice or education, treatment adherence or reminder methods, and patient monitoring. Treatment adherence or reminder methods and/or patient monitoring showed behavioral effects, but the usability of e-health interventions was controversial. CONCLUSIONS: We suggest that e-health intervention should be complex intervention including treatment advice/education, patient monitoring, and treatment adherence or reminder methods
The effect of eyestalk ablation on growth, hemolymph composition and gill Na+, K+-ATPase activity of Penaeus-monodon juveniles.
No full textThe effects of eyestalk ablation on oxygen-consumption and ammonia-N excretion of juvenile shrimp Penaeus-monodon.
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Peer support for smoking cessation: a protocol of systematic review and meta-analysis
Full text linkAbstract Background Peer-support programs are a useful social support strategy for populations trying to quit smoking who are willing to maintain smoking abstinence. This study is a protocol for a systematic review and meta-analysis to assess the effectiveness of peer support for smoking cessation. Methods This protocol will be conducted in accordance with the Cochrane Handbook of Systematic Reviews of Interventions 6.2. We will conduct a comprehensive search in the Cochrane Central Register of Controlled Trials, ovidEmbase, PsycINFO, the Cumulative Index to Nursing and Allied Health Literature, ovidMEDLINE, Google Scholar, and Open Grey, as well as the Trials Register of Promoting Health Interventions in EPPI-Centre, ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform, and reference lists of included papers. The review will include randomized controlled trials of peer support interventions aimed to stop smoking in any population. Two reviewers will independently screen and select relevant studies. Version 2 of the Cochrane tool that assesses risk of bias in randomized trials will be used to assess the risk of bias in the included studies. The primary outcomes will be defined as the tobacco abstinence rate and adverse events. If a quantitative synthesis is not appropriate, a synthesis without meta-analysis will be undertaken. Discussion This review will provide the best available evidence regarding the effects of peer support interventions to quit smoking. The results from this study will help to inform healthcare providers on the optimal peer support intervention modalities such as intensity, delivery methods, type of support provider, and duration of the intervention. Systematic review registration PROSPERO CRD4202019628
Application of Transfer Learning and Convolutional Neural Networks for Autonomous Oil Sheen Monitoring
No full textOil sheen on the water surface can indicate a source of hydrocarbon in underlying subaquatic sediments. Here, we develop and test the accuracy of an algorithm for automated real-time visual monitoring of the water surface for detecting oil sheen. This detection system is part of an automated oil sheen screening system (OS-SS) that disturbs subaquatic sediments and monitors for the formation of sheen. We first created a new near-surface oil sheen image dataset. We then used this dataset to develop an image-based Oil Sheen Prediction Neural Network (OS-Net), a classification machine learning model based on a convolutional neural network (CNN), to predict the existence of oil sheen on the water surface from images. We explored the effectiveness of different strategies of transfer learning to improve the model accuracy. The performance of OS-Net and the oil detection accuracy reached up to 99% on a test dataset. Because the OS-SS uses video to monitor for sheen, we also created a real-time video-based oil sheen prediction algorithm (VOS-Net) to deploy in the OS-SS to autonomously map the spatial distribution of sheening potential of hydrocarbon-impacted subaquatic sediments
RDLS-SS-DWT v. 0.9
No full textThis fileset contains the implementation of RDLS-DWT and SS-DWT in JPEG 2000 (RDLS-SS-DWT v. 0.9), which was used in a research described in: R. Starosolski, “Application of reversible denoising and lifting steps to DWT in lossless JPEG 2000 for improved bitrates,” Signal Processing: Image Communication, Vol. 39, Part A, pp. 249-63, DOI: 10.1016/j.image.2015.09.013, 2015 and R. Starosolski, “Skipping selected steps of DWT computation in lossless JPEG 2000 for improved bitrates,” submitted. This software is intended for research purposes only; it is provided "as is"; author makes no warranty of any kind, either express or implied, with respect to this software. <br
Residential Radon Exposure and Cigarette Smoking in Association with Lung Cancer: A Matched Case-Control Study in Korea
Full text linkResidential radon exposure and cigarette smoking are the two most important risk factors for lung cancer. The combined effects thereof were evaluated in a multi-center matched case-control study in South Korea. A total of 1038 participants were included, comprising 519 non-small cell lung cancer cases and 519 age- and sex- matched community-based controls. Residential radon levels were measured for all participants. Multivariate logistic regression was used to calculate odds ratios (OR) for lung cancer according to radon exposure (high ≥ 100 Bq/m3 vs. low < 100 Bq/m3), smoking status, and combinations of the two after adjusting for age, sex, indoor hours, and other housing information. The median age of the participants was 64 years, and 51.3% were women. The adjusted ORs (95% confidence intervals [CIs]) for high radon and cigarette smoking were 1.56 (1.03–2.37) and 2.53 (1.60–3.99), respectively. When stratified according to combinations of radon exposure and smoking status, the adjusted ORs (95% CIs) for lung cancer in high-radon non-smokers, low-radon smokers, and high-radon smokers were 1.40 (0.81–2.43), 2.42 (1.49–3.92), and 4.27 (2.14–8.52), respectively, with reference to low-radon non-smokers. Both residential radon and cigarette smoking were associated with increased odds for lung cancer, and the difference in ORs according to radon exposure was much greater in smokers than in non-smokers
Exposure-Response and Clinical Outcome Modeling of Inhaled Budesonide/Formoterol Combination in Asthma Patients
Full text linkExposure-response and clinical outcome (CO) model for inhaled budesonide/formoterol was developed to quantify the relationship among pharmacokinetics (PK), pharmacodynamics (PD) and CO of the drugs and evaluate the covariate effect on model parameters. Sputum eosinophils cationic proteins (ECP) and forced expiratory volume (FEV1) were selected as PD markers and asthma control score was used as a clinical outcome. One- and two-compartment models were used to describe the PK of budesonide and formoterol, respectively. The indirect response model (IDR) was used to describe the PD effect for ECP and FEV1. In addition, the symptomatic effect on the disease progression model for CO was connected with IDR on each PD response. The slope for the effect of ECP and FEV1 to disease progression were estimated as 0.00008 and 0.644, respectively. Total five covariates (ex. ADRB2 genotype etc.) were searched using a stepwise covariate modeling method, however, there was no significant covariate effect. The results from the simulation study were showed that a 1 puff b.i.d. had a comparable effect of asthma control with a 2 puff b.i.d. As a result, the 1 puff b.i.d. of combination drug could be suggested as a standardized dose to minimize the side effects and obtain desired control of disease compared to the 2 puff b.i.d
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