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2.
Muscles Ligaments Tendons J ; 7(3): 459-466, 2017.
Article in English | MEDLINE | ID: mdl-29387639

ABSTRACT

BACKGROUND: No investigation has analysed the RWL approaches since new rules by the International Judo Federation (IJF) regarding weigh-ins have been implemented in international competitions in 2014. The current study analyses the prevalence, most common methods and knowledge surrounding the effects of rapid weight loss (RWL) amongst adult UK judo athletes. Additionally, it examines differences in rapid weight loss behaviour (RWLB) between gender, weight-class, competitive level, age RWL began and "high"/"low" knowledge athletes. METHODS: A previously validated questionnaire developed to assess RWL in judo athletes was modified by adding a knowledge section and revalidated for content. The questionnaire provided a RWLB score (higher score equated to more aggressive RWL) and a knowledge score (out of 10). 256 athletes (189 males and 66 females, aged 18-67 years) completed the questionnaire between February and April 2015. Unpaired t test, one-way ANOVA-tests and Chi-squared tests were used to test differences of mean RWLB scores and prevalence between groups. RESULTS: The prevalence of RWL was 84%. The most common methods of RWL were increased exercise and decreased food/fluid intake. The mean knowledge score was 6.2±2.8, with most incorrect answers regarding physiological effects of RWL. No significant differences in RWLB scores were found between gender, "high"/"low" knowledge athletes or weight-classes. Statistically significant differences in RWLB scores were found between different competitive levels (p=0.014) and age RWL began (p<0.01) in males but not in females. CONCLUSION: RWL is highly prevalent in the UK adult judo population and athletes have moderate knowledge surrounding its effects. In males, RWLB is most aggressive in elite level athletes and those that began RWL at a younger age. Therefore, updated rulings to target elite and youth level athletes should be implemented to reduce dangerous RWL. LEVEL OF EVIDENCE: IV.

3.
J Neurol Sci ; 359(1-2): 78-83, 2015 Dec 15.
Article in English | MEDLINE | ID: mdl-26671090

ABSTRACT

OBJECTIVE: To provide an improved method for the identification and analysis of brain tumors in MRI scans using a semi-automated computational approach, that has the potential to provide a more objective, precise and quantitatively rigorous analysis, compared to human visual analysis. BACKGROUND: Self-Organizing Maps (SOM) is an unsupervised, exploratory data analysis tool, which can automatically domain an image into selfsimilar regions or clusters, based on measures of similarity. It can be used to perform image-domain of brain tissue on MR images, without prior knowledge. DESIGN/METHODS: We used SOM to analyze T1, T2 and FLAIR acquisitions from two MRI machines in our service from 14 patients with brain tumors confirmed by biopsies--three lymphomas, six glioblastomas, one meningioma, one ganglioglioma, two oligoastrocytomas and one astrocytoma. The SOM software was used to analyze the data from the three image acquisitions from each patient and generated a self-organized map for each containing 25 clusters. RESULTS: Damaged tissue was separated from the normal tissue using the SOM technique. Furthermore, in some cases it allowed to separate different areas from within the tumor--like edema/peritumoral infiltration and necrosis. In lesions with less precise boundaries in FLAIR, the estimated damaged tissue area in the resulting map appears bigger. CONCLUSIONS: Our results showed that SOM has the potential to be a powerful MR imaging analysis technique for the assessment of brain tumors.


Subject(s)
Brain Neoplasms/pathology , Glioblastoma/pathology , Glioma/pathology , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Adult , Aged , Aged, 80 and over , Brain Neoplasms/classification , Female , Humans , Male , Meningeal Neoplasms/pathology , Meningioma/pathology , Middle Aged , ROC Curve
4.
Ambio ; 44(3): 226-38, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25168463

ABSTRACT

Twenty-three south-Swedish public supply wells were studied to assess pesticide pollution of regional groundwater resources. Relations between pesticide occurrence, hydrogeology, and land use were analyzed using Kohonen's Self-Organizing Maps approach. Pesticides are demonstrated to be substantially present in regional groundwater, with detections in 18 wells. Concentrations above the drinking water threshold are confirmed for nine wells. Observations indicate considerable urban influence, and lagged effects of past, less restricted use. Modern, oxic waters from shallow, unconfined, unconsolidated or fracture-type bedrock aquifers appear particularly vulnerable. Least affected waters appear primarily associated with deeper wells, anoxic conditions, and more confined sediment aquifers lacking urban influence. Comprehensive, standardized monitoring of pesticides in groundwater need to be implemented nationwide to enable sound assessments of pollution status and trends, and to develop sound groundwater management plans in accordance with the Water Framework Directive. Further, existing water protection areas and associated regulations need to be reassessed.


Subject(s)
Conservation of Natural Resources , Drinking Water/analysis , Environmental Policy , Groundwater/analysis , Pesticides/analysis , Water Pollutants, Chemical/analysis , Environmental Monitoring , Sweden , Time Factors
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