scholarly journals Mass Univariate Regression Analysis for Three-Dimensional Liver Image-Derived Phenotypes

2021 ◽  
pp. 165-176
Author(s):  
Marjola Thanaj ◽  
Nicolas Basty ◽  
Yi Liu ◽  
Madeleine Cule ◽  
Elena P. Sorokin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Three Dimensional ◽  
Liver Image

ESTIMATION OF GROWTH – TIME TEMPERATURE CHARACTERISTICS FOR ISOLATES OF FOMES PINI, A HEART ROT FUNGUS

1964 ◽  
Vol 42 (12) ◽  
pp. 1635-1652 ◽  
Author(s):  
Lee A. Paine ◽  
Gideon Schwarzbart ◽  
William G. O'Regan
Keyword(s):  
Regression Analysis ◽  
Cross Section ◽  
Growth Pattern ◽  
Storage Temperature ◽  
Three Dimensional ◽  
Douglas Fir ◽  
Growth Time ◽  
Optimum Temperature ◽  
Analysis Techniques ◽  
White Fir

Regression analysis techniques were applied to an estimation of three-dimensional surfaces representing the growth of Fomes pini as a function of time and temperature. These methods were judged to be valuable in their economy of data and in their provision of readily available plotting points for any desired cross section of the surface.The growth pattern of F. pini taken from Douglas fir was distinct from that of the form of F. pini found on nearby white fir. Growth of isolates from Douglas fir was more than twice that of white fir isolates after 18 days at near-optimum temperatures on malt agar. Estimates of growth trends and optimum temperatures were examined both for individual isolates of F. pini and for averages of isolates from the two host species, Douglas fir and white fir. Results suggest that chronological changes in the optimum temperature may be affected by the relation between the storage temperature preceding initial measurements and the terminal optimum temperature.

scholarly journals Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

2018 ◽  
Vol 65 (3) ◽  
pp. 115-121
Author(s):  
Zorana Lanc ◽  
Milan Zeljković ◽  
Aleksandar Živković ◽  
Branko Štrbac ◽  
Miodrag Hadžistević
Keyword(s):  
Surface Roughness ◽  
Regression Analysis ◽  
Multiple Regression ◽  
Strong Correlation ◽  
Three Dimensional ◽  
Multiple Regression Model ◽  
Infrared Images ◽  
Cooling Process ◽  
Brass Alloy

Abstract This paper presents the experimental determination of the dependence of emissivity of brass on surface roughness and temperature. The investigation was conducted using the infrared thermographic technique on brass alloy C27200 workpieces with different degrees of surface roughness, during the continuous cooling process. The results obtained showed that the emissivity of the chosen brass alloy increases with greater surface roughness and decreases during the cooling process, its value ranging from 0.07 to 0.19. It was concluded that surface roughness has a greater influence on the increase of the emissivity at higher temperatures, which can be seen in the three-dimensional infrared images. Multiple regression analysis confirmed a strong correlation between the examined parameters and the emissivity, and an original multiple regression model was determined.

scholarly journals HV Patients Show Greater Pronation of the First Metatarsal than Normals

2017 ◽  
Vol 2 (3) ◽  
pp. 2473011417S0000
Author(s):  
Bradley Campbell ◽  
Stephen Conti
Keyword(s):  
Regression Analysis ◽  
Hallux Valgus ◽  
Three Dimensional ◽  
Basic Sciences ◽  
Weak Correlation ◽  
Intermetatarsal Angle ◽  
First Metatarsal ◽  
Second Metatarsal ◽  
Three Dimensional Models ◽  
Standard Radiographs

Category: Basic Sciences/Biologics, Bunion, Midfoot/Forefoot Introduction/Purpose: The progression of the hallux valgus (HV) deformity demonstrates dorsiflexion and abduction; concomitant pronation has not received adequate documentation and the extent of pronation in the pathology is unknown even though correction of the deformity may need to address all three angles. To overcome the inability of standard radiographs to capture pronation, we have developed a means to assess the three dimensional deformity using CT scans. Our goal was to document the extent of pronation/supination both of the first phalanx with respect to the first metatarsal and of the first metatarsal with respect to the second metatarsal. Furthermore, we wanted to regress pronation against the intermetatarsal (IMA) angle of hallux valgus patients. Methods: Three-dimensional models were reconstructed from loaded and unloaded CT files of patients (10 HV, 10 normal). The orientations of specific bones, in anatomic directions, were determined by selecting landmarks on the surface of the phalanx and of the first and second metatarsals. The resulting calculations output a set of angles to determine the pronation/supination of the first metatarsal relative to the second and of the first phalanx relative to the first metatarsal. A regression analysis was conducted to extrapolate any relationship between adduction and pronation (known intermetatarsal and pronation). Results: The average pronation of the first metatarsal relative to the second metatarsal was 19.8 ± 7.1 and 28.3 ± 10.8 in the normal and HV groups respectively (p < 0.05). The influence of weightbearing demonstrated pronation angle differences that were greater in the normal group than in the HV group for both the IM pronation and the HV pronation (p < 0.05) (Figure 1). The differences in HV angles and IM angles between normal and HV patients were 22° and 7° respectively. The regression analysis of the pronation and intermetatarsal angle was not found to be significant, with a weak correlation (r2 = 0.26). Conclusion: The pronation of the first metatarsal relative to the second metatarsal between normal and HV patients is significantly different. While the first metatarsal had measurable pronation in patients with hallux valgus but that value was not predicted by the IMA. The findings of this study indicate pronation should be considered in any surgical technique that seeks to restore native configurations.

Mathematical Model of Attaching Sleeve Based on the Change of Underarm Point

2011 ◽  
Vol 331 ◽  
pp. 611-615
Author(s):  
Yong Mei Liu ◽  
Lu Zhang ◽  
Gan Hong Feng
Keyword(s):  
Mathematical Model ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Three Dimensional ◽  
Morphological Characteristics ◽  
Horizontal Displacement ◽  
Regression Equation ◽  
Factors Affecting ◽  
Three Dimensional Configuration ◽  
Method Of Correlation

Armhole is a base part of the sleeve. The sleeve morphological characteristics affect the construction and shape of sleeve. The underarm point is one of key restraining factors affecting armhole’s three-dimensional configuration. The experiments of armhole’s three-dimensional configuration and attaching sleeve experiments were designed according to the changes of the vertical and horizontal displacement of underarm point. The regression equation is established through the method of correlation analysis and regression analysis.

scholarly journals Retarding contaminant migration through porous media using inclined barrier walls

2019 ◽  
Vol 67 (4) ◽  
pp. 339-348 ◽  
Author(s):  
Ayman Allam ◽  
Esam Helal ◽  
Mahmoud Mansour
Keyword(s):  
Porous Media ◽  
Regression Analysis ◽  
Numerical Model ◽  
Objective Function ◽  
Three Dimensional ◽  
Combined Effect ◽  
Migration Time ◽  
Contaminant Migration ◽  
Contamination Source ◽  
Objective Function Values

Abstract This study aims to assess the abilities of inclined barrier walls (BWs) to retard the migration of contaminants through porous media. Four cases of BW arrangements were considered, including a single inclined BW (BW1) and two adjacent BWs (BW1 and BW2) with different combinations of inclination ratios (i.e., I1 = θ1 /90° and I2 = θ2 /90°). Furthermore, the effect of the distance (L) between the contamination source and BW1 on the migration time (T) was evaluated. A numerical model (GeoStudio) containing two modules (SEEP/W and CTRAN/W) was used. The model proved its reliability to simulate contaminant migration through the porous media, where the normalized objective function values between the simulated and analytical results were 0.02 and 0.04 for the discharge of seepage and concentration of contamination, respectively. The results demonstrated that the migration time was strongly influenced by the inclination ratios of the BWs. Three-dimensional regression analysis was applied to demonstrate the combined effect of the inclination ratio, L and BW arrangements on T.

scholarly journals Assessment of burnout in medical students using the Maslach Burnout Inventory-Student Survey: A cross-sectional data analysis

2020 ◽  
Author(s):  
Michael Obregon ◽  
Jessica Luo ◽  
Jarod Shelton ◽  
Terri Blevins ◽  
Martin MacDowell
Keyword(s):  
Regression Analysis ◽  
Medical Student ◽  
Medical Students ◽  
Medical School ◽  
Three Dimensional ◽  
Maslach Burnout Inventory ◽  
Student Survey ◽  
Cross Sectional ◽  
Student Burnout ◽  
Wellness Initiatives

Abstract Background: Medical student burnout can cause emotional and physical exhaustion and detachment. The objectives of this study were to evaluate burnout using the Maslach Burnout Inventory-Student Survey (MBI-SS), identify factors that may predict burnout, and assess wellness initiatives effectiveness at reducing burnout. Methods: The MBI-SS was administered to all medical students (Classes 2019 to 2022) at the University of Illinois College of Medicine (UICOM) from February to May 2019. Factor analysis and internal consistency of the MBI-SS were assessed. Mean MSBI-SS subscale scores for burnout were calculated for cynicism (CY), emotional exhaustion (EE), and academic efficacy (AE). Multiple regression analysis was used to identify student factors that may predict burnout.Results: A total of 273 (21.6%) UICOM students completed the survey and 110 (40.3%) respondents reported self-perceived burnout. MBI-SS subscale scores were significantly higher for CY and EE, and significantly lower for AE in students who reported suffering from burnout versus students who did not report burnout. Mean ± SD subscale scores for CY, EE, and AE in burnout students were 14.44 ± 5.59, 23.23 ± 4.74, and 24.81 ± 5.35, respectively. In comparison, mean ± SD subscale scores for CY, EE, and AE in non-burnout students were 7.59 ± 5.16, 14.96 ± 5.71, and 28.74 ± 3.21, respectively. Regression analysis denoted significant associations between burnout and being out-of-phase in the curriculum, the effectiveness of wellness initiatives, and strength of motivation for medical school (SMMS) in both the two- and three-dimensional MBI-SS models. Gender was significantly associated with burnout in only the two-dimensional model.Conclusions: Self-reported burnout in medical students at UICOM was validated using the MBI-SS. Being out-of-phase in the curriculum, being female, rating wellness initiatives as less effective, and demonstrating lower motivation for continued medical school education may be used as predictors of medical student burnout. This investigation may act as a guide for measuring burnout in medical student populations and how the implementation of wellness initiatives may ameliorate burnout.

Fabric movement and washing performance in a front-loading washer with a built-in pulsator

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4732-4745 ◽  
Author(s):  
Hyewon Kim ◽  
Changsang Yun ◽  
Chung Hee Park
Keyword(s):  
Tensile Strength ◽  
Regression Analysis ◽  
Three Dimensional ◽  
Mechanical Action ◽  
Depth Direction

The objective of this study was to investigate the change of fabric movement by introducing a pulsator in a front-loading washer. To examine the effect of the changed fabric movements on washing performance, detergency, mechanical action, wrinkling, tangling, and tensile strength were also investigated. Three-dimensional fabric movement was analyzed by representing the fabric center in the washer as XYZ coordinate values. Seven indexes of fabric movement were used to analyze the correlation between fabric movement and detergency. On comparing fabric movements using the indexes, the front-loading washer with a built-in pulsator showed more diverse fabric movements than the conventional washer and, in particular, movement in the depth direction of the drum occurred more frequently in the newly developed system. This led to 7.6% higher detergency compared to the conventional one, possibly due to the increased interaction between fabrics. Regression analysis verified that the diversified fabric movements induced by the pulsator in the front-loading washer resulted in the improvement of detergency. The different fabric movements in the newly developed system also affected fabric damage, tangling and wrinkling.

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