When milling corners in high speed, it will lead the mutation of cutting force that affects the processing quality and processing efficiency. In order to study the influence of milling parameters on ...milling force in the corner. Firstly, an orthogonal experimental of corner is designed to study the influence of various cutting parameters on cutting force. Axial cutting depth, radial depth, spindle speed and feed speed, as the major influence factors, impact on cutting force in corner milling. Then, a cutting force model of corner is established based on a method of orthogonal experiment linear regression. The significance test of regression equation and regression coefficient shows that cutting force model is accurate. The cutting force model is used to predict the cutting force, and then select the appropriate cutting parameters.
Objectives: Anger is a common feeling among family caregivers of elderly dependents. However, this feeling has received less attention than other emotional effects of caring. This study measures ...anger in caregivers and analyzes its predictors.
Method: Trait anger and anger expression (expression-in, expression-out and expression index), caregiver and care recipient features, stressors (e.g. care demands and support), appraisal (e.g. burden) and resources (e.g. coping, self-efficacy) were assessed in 111 caregivers of elderly dependent relatives. Staged stepwise multiple linear regression analyses were carried out for each of the four anger scores.
Results: Caregivers presented mild anger levels and showed expression-in rather than expression-out of anger. Stepwise multiple linear regression analyses showed that a bad relationship between caregiver and care recipient, the presence of disruptive behaviors and caregivers' low efficacy to handle them, and mostly the use of emotion-focused coping were the significant predictors of trait anger, anger expression index and anger expression-out. Explained variance for each of these regression models was 38%, 33% and 27%, respectively. Burden was the only significant predictor for internal anger expression (8% explained variance).
Conclusion: Results highlight that interventions aimed to improve caregivers' strategies to address memory and behavior problems and to promote the use of effective coping strategies could be helpful to prevent anger and expression-out of anger. Reducing burden in caregivers might result in reductions of anger expression-in. Data underscore the need to consider anger feeling and both in-expression and out-expression of anger separately in order to understand anger experience in caregivers.
Celotno besedilo
Dostopno za:
BFBNIB, DOBA, IZUM, KILJ, NUK, OILJ, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
BACKGROUND: Assessment of physical fitness is a common and effective method for evaluating the health status of teenage students. OBJECTIVES: The present study was conducted to assess physical ...fitness in adolescents residing in Shanghai, and investigate the relationships among anthropometry, muscle fitness, and a 20-meter shuttle run test (20-m SRT). METHODS: A total of 449 middle school students (12–17 years old, 246 boys and 203 girls) from four different regions of Shanghai, China were included as study participants. RESULTS: Multiple linear regression analyses indicate that upper extremity muscle strength and standing vertical jump were positively related to age and weight, while negatively related to gender, scapular skinfold, and calf skinfold. Strong positive correlations were also demonstrated between the number of laps accomplished on the 20-m SRT and upper extremity muscle strength as well as standing vertical jump height. CONCLUSION: Muscle strength is an important anthropometric characteristic that may be used for the assessment of sprinting ability in adolescents.
Objective: To assess the impact of reference pricing and extension of generic substitution on the daily cost of antipsychotic drugs in Finland during the first year after its launch. Furthermore, the ...additional impact of reference pricing on prior implemented generic substitution is assessed. Methods: A retrospective analysis was performed between 2006 and 2010. A segmented linear regression analysis of interrupted time series was used to estimate changes in the levels and trends in the cost of one day of treatment. Of the study drugs, clozapine belonged to generic substitution already at the start of the study period while olanzapine and quetiapine were included in generic substitution alongside with reference pricing in 2009. Risperidone was included in generic substitution in 2008, before reference pricing. Results: A substantial decrease in the daily cost of all four antipsychotic substances was seen after one year of the implementation of reference pricing and the extension of generic substitution. The impact ranged from -29.9% to -66.3%, and it was most substantial on the daily cost of olanzapine. Also in the daily cost of risperidone a substantial decrease of -43.3% was observed. However, most of these savings, -32.6%, were generated by generic substitution which had been adopted prior. Conclusions: Reference pricing and the extension of generic substitution produced substantial savings on antipsychotic medication costs during the first year after its launch, but the intensity of the impact differed between active substances. Furthermore, our results suggest that the additional cost savings from reference pricing after prior implemented generic substitution, are comparatively low.
We present a method for the estimation of annual radon concentration based on
short-term (three months) measurements. The study involves results from two
independent sets of indoor radon ...concentration measurements performed in 16
cities of the Republic of Macedonia. The first data set contains winter and
annual radon concentration obtained during the National survey in 2010 and
the second, contains only the radon concentration measured during the winter
of 2013. Both data sets pertain to radon concentration from the same cities
and have been measured applying the same methodology in ground floor
dwellings. The results appeared to be consistent and the dispersion of radon
concentration was low. Linear regression analysis of the radon concentration
measured in winter of 2010 and of the 2010 annual radon concentration
revealed a high coefficient of determination R2 = 0.92, with a relative
uncertainty of 3%. Furthermore, this model was used to estimate the annual
radon concentration solely from winter-term measurements performed in
2013. The geometrical mean of the estimated annual radon concentration of
the 2013: radon concentration (A-2013) =98 Bqm-3 was almost equal to the
geometrical mean of the annual radon concentration from the 2010, radon
concentration (A-2010) = 99 Bqm-3. Analysis of the influence of building
characteristics, such as presence/absence of a basement in the building, or
the dominant building material on the estimated annual radon concentration
is also reported. Our results show that a low number of relatively
short-term radon measurements may produce a reasonable insight into a gross
average obtained in a larger survey.
nema
In this paper we introduce a class of fuzzy clusterwise regression models with LR fuzzy response variable and numeric explanatory variables, which embodies fuzzy clustering, into a fuzzy regression ...framework. The model bypasses the heterogeneity problem that could arise in fuzzy regression by subdividing the dataset into homogeneous clusters and performing separate fuzzy regression on each cluster. The integration of the clustering model into the regression framework allows us to simultaneously estimate the regression parameters and the membership degree of each observation to each cluster by optimizing a single objective function. The class of models proposed here includes, as special cases, the fuzzy clusterwise linear regression model and the fuzzy clusterwise polynomial regression model. We also introduce a set of goodness of fit indices to evaluate the fit of the regression model within each cluster as well as in the whole dataset. Finally, we consider some cluster validity criteria that are useful in identifying the “optimal” number of clusters. Several applications are provided in order to illustrate the approach.
This paper aims to modeling the relationship between the error of visual-based systems developed for vehicle speed estimation (as dependent variable) and each of the detection region length, the ...camera angle, and the volume-to-capacity ratio (V/C), as independent variables. Simulation software (VISSIM) is used to generate a set of video clips of predefined traffic based on different values of the dependent variables. These videos are analyzed with a video-based detection and tracking model (VBDATM) developed in 2015. Errors are expressed as differences between each of the actual speeds generated by VISSIM and the speeds computed by the VBDATM divided by the actual speed. The results conducted by the forward stepwise regression analysis show that the V/C ratio does not affect the accuracy of the estimate and there are weak relationships between the estimation error and each of camera position and the detection region length.
GIS-based landslide susceptibility maps for the Kankai watershed in east Nepal are developed using the frequency ratio method and the multiple linear regression technique. The maps are derived from ...comparing observed landslides with possible causative factors: slope angle, slope aspect, slope curvature, relative relief, distance from drainage, land use, geology, distance from faults and mean annual rainfall. The consistency of the maps is evaluated using landslide density analysis, success rate analysis and spatially agreed area approach. The first two analyses produce almost identical quantitative results, whereas the last approach is able to reveal spatial differences between the maps and also to improve predictions in the agreed high landslide-susceptible area.
We examined the relationship between ladder exercise and reaction times of the upper limbs and whole body in preschool children. The participants were 167 children, aged 4-6 years, who practiced ...ladder tasks for 4 months. Thereafter, they completed a ladder achievement test. In addition, they performed three types of reaction-time tests (pushing a switch, removing their hands from the switch, and jumping to a mat in front of them). Relationships between the ladder scores and the three reaction-time test results were significant and relatively high (R = 0.707). In particular, the standard partial regression coefficient for whole-body reaction time (-0.417) was significant (p < 0.05). Therefore, ladder exercise may be particularly effective for developing various reaction movements of children in recent times.
Fadel, A., Faour G. and Slim K. 2016. Assessment of the trophic state and chlorophyll-a concentrations using Landsat OLI in Karaoun reservoir, Lebanon. Lebanese Science Journal, 17(2): 130-145. ...Harmful algal blooms have become a worldwide environmental problem. A regular and cost-effective monitoring of these blooms is highly needed by lakes managers. Satellite remote sensing imagery like Landsat Operational Land Imager (OLI) can be used to assess and monitor chlorophyll-a in water bodies over large areas in a cost-effective way. In this study, the accuracy of Landsat OLI to estimate chlorophyll-a was examined. Four field campaigns and cloud free images of Landsat OLI with 30 m resolution (01 May 2013, 21 August 2013, 10 July 2015, and 11 August 2015) were used in this study to determine the accuracy of Landsat OLI in estimating chlorophyll-a in a 12 km2 freshwater body, Karaoun reservoir. After atmospheric correction of these images, reflectance of single and multiple band combinations were compared to field chlorophyll-a data. Results of field campaigns showed that the trophic state of Karaoun reservoir is still eutrophic to hypereutrophic with high nutrient concentration and low phytoplankton biodiversity, dominated by cyanobacteria species, Microcystis aeruginosa and Aphanizomenon ovalisporum. On single band level, the in situ chlorophyll-a measurement correlated best with band 5 (0.85 - 0.88 µm), with R=0.75 and R2=0.57. Highest correlation (R=0.84 and R2=0.72) was obtained using band combination, B2:B4 band ratio multiplied by B5. Results indicated that Landsat OLI can be used effectively to determine chlorophyll-a concentration in lakes and reservoirs. We recommend the application of Landsat OLI as a satisfactory and cost effective method for monitoring chlorophyll-a in other lakes through-out the world
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