Bullying behavior and its relationship to children’s self-esteem

This study aims to determine whether bullying behavior influences children's self-esteem aged 5-6 years in Mutiara Cendekia Early Childhood Education (ECE) in Pekanbaru, Indonesia. This research is quantitative using the simple linear regression formula. The sampling technique used is total sampling. The results showed that bullying behavior is significantly related to the children's self-esteem. It also indicated that children aged 5-6 years who play online games have high self-esteem. While the remaining 43.6% is influenced by other factors not examined. These findings should be a concern to parents and teachers to control the use of online games for children.

Approximation, characterization, and continuity of multivariate monotonic regression functions

We deal with monotonic regression of multivariate functions [Formula: see text] on a compact rectangular domain [Formula: see text] in [Formula: see text], where monotonicity is understood in a generalized sense: as isotonicity in some coordinate directions and antitonicity in some other coordinate directions. As usual, the monotonic regression of a given function [Formula: see text] is the monotonic function [Formula: see text] that has the smallest (weighted) mean-squared distance from [Formula: see text]. We establish a simple general approach to compute monotonic regression functions: namely, we show that the monotonic regression [Formula: see text] of a given function [Formula: see text] can be approximated arbitrarily well — with simple bounds on the approximation error in both the [Formula: see text]-norm and the [Formula: see text]-norm — by the monotonic regression [Formula: see text] of grid-constant functions [Formula: see text]. monotonic regression algorithms. We also establish the continuity of the monotonic regression [Formula: see text] of a continuous function [Formula: see text] along with an explicit averaging formula for [Formula: see text]. And finally, we deal with generalized monotonic regression where the mean-squared distance from standard monotonic regression is replaced by more complex distance measures which arise, for instance, in maximum smoothed likelihood estimation. We will see that the solution of such generalized monotonic regression problems is simply given by the standard monotonic regression [Formula: see text].

Prediction of effective Lens position using anterior segment optical coherence tomography in Chinese subjects with angle closure

Purpose To assess the accuracy of biometric parameters measured by anterior segment optical coherence tomography (AS-OCT) and partial coherence interferometry (PCI) in prediction of effective lens position (ELP) compared with previous formulas in PACG patients. Methods 121 PACG eyes were randomly divided into training set (85 eyes) and validation set (36 eyes) with same procedure including AS-OCT, PCI, phacoemulsification and IOL implantation surgery. Preoperative anterior chamber depth (pre-ACD), scleral spur depth (SSD), scleral spur width (SSW), lens vault (LV) and cornea thickness (CT) were measured from AS-OCT image. Axial length (AL) and corneal power (K) were measured by PCI. All the 7 parameters were analyzed by multiple linear regression in training set and a statistic regression formula was developed. In validation set, one-way ANOVA was applied to compare the new regression formula with Sanders-Retzlaff-Kraff theoretic (SRK/T), Holladay 1, Haigis, and a regression formula developed in previous study. Results The coefficient of determination (R2) of different parameter combinations are 0.19 (pre-ACD, AL), 0.25 (AL, K) and 0.49 (SSD, AL, SSW) in training set. In validation set, the correlation between predicted and measured ELP are: new formula (R2 = 0.50, P = 0.9947) Holladay 1 (R2 = 0.12, P < 0.0001), SRK/T (R2 = 0.11, P < 0.0001) and Haigis (R2 = 0.06, P < 0.0001). Conclusion Among 7 tested parameters, pre-ACD contribute little in ELP prediction. Formula consist of SSD, AL and SSW showed better accuracy than other formulas tested.

Giving Incentives and the Impact on the Discipline of Economic Teachers in Implementing Their Assignment

This study aims to determine the effect of giving incentives to the discipline of economics teachers in carrying out assignments at SMA Negeri 12 Pekanbaru. The population is 8 teachers, because the population is small, the authors make the population as a sample. Data collection techniques that the author uses are questionnaires, interviews, and documentation. And the data processing technique that the author uses is a simple linear regression formula and product moment correlation with the help of the SPSS version 16.0 program. Based on the presentation and analysis of the data, it is known that the provision of incentives has a significant effect on the discipline of economics teachers in carrying out their duties at SMA Negeri 12 Pekanbaru. This is evidenced by the results of the analysis that observation = 0.938 is greater than Rtable at a significant level of 5% (0.838 > 0.707) this means that Ha is accepted, Ho is rejected. ro observation = 0.938 is greater than Rtable at a significant level of 1% (0.938 > 0.834) This means that Ha is accepted, Ho is rejected. Thus it can be concluded that there is a significant effect between the provision of incentives on the discipline of economics teachers in carrying out their duties of 0.881 X 100% = 88.1%.

Prediction of stature from long bones versus hand and foot measurements: A comparative study of the Kolhapur population

Background Estimation of stature is usually done by measurement of the long bones. Although hand and foot dimensions are useful in predicting stature, they are population-specific. Methods We compared the accuracy of predicting stature by hand and foot dimensions, with long bone (tibia and ulna) lengths, and developed a stature predictive regression formula from the parameters used for the sample population in Kolhapur. We recorded hand and foot measurements and long bone measurements of 1000 consenting participants 18–50 years of age using a stadiometer for height and an anthropometric rod compass for other measurements. Correlation between the variables and stature was determined using Pearson’s correlation analysis (p<0.05). A multiple linear regression formula was derived for the prediction of stature. Results A positive correlation was observed between mean stature and foot length (r=0.67, p<0.05), tibia (r=0.66, p<0.05), ulna (r= 0.75, p<0.05) and hand length (r=0.69 left, r=0.72 right, p<0.05). There was no correlation between foot breadth and stature. Multiple linear regression analysis of hand and foot dimensions returned R2=62.96 and standard error of estimate 4.689 with comparable computed and experimental measurements. Conclusion The dimensions of the hand and foot can be used to predict stature. The formula derived from the multiple regression analysis incorporating hand and foot dimensions is a good fit to estimate stature in the study population.

The influence of principal leadership and organizational climate on teacher performance

This study examined the level of the principal's influence leadership and organizational climate on both partial and simultaneous on teacher’s performance. This study was quantitative methods. Data were analyzed using multiple linear regression formula using SPSS version 22.0 for windows. The results of this study indicate that there is a significant effect of principal leadership and organizational climate together on teacher performance with an f-count value of 114,997 f-table of 3.13. The conclusion of this study is that to improve teacher performance, principal leadership and a good organizational climate are needed.

Numerical Studies on the Stiffness of Arc Elliptical Cross-section Helical Spring Subjected to Circumference Force

Due to its excellent properties, elliptical cross-section helical spring has been widely used in automobile industry, such as valve spring, arc spring used in Dual Mass Flywheel and so on. Existing stiffness formulae of helical spring remain to be tested, and stiffness property of elliptical cross-section arc spring has been little studied. Hence, study on the stiffness of elliptical cross-section helical spring is significant in the development of elliptical cross-section helical spring. This paper proposes a method to study the stiffness property of elliptical cross-section helical spring that the experiment design method is adopted with finite element analysis. Firstly, the finite element analysis method was used to verify the cylindrical (circular cross-section and elliptical cross-section) springs. Then, the regression formula was designed and derived compared with the reference springs’ stiffness formulae by experimental design. Last, regression formula was verified with existing experiment data. The novelty in this paper is that simulation technology of arc spring was investigated and a stiffness regression equation of arc elliptical cross-section spring was obtained using orthogonal regression design, with significance in wide use of the arc elliptical cross-section helical spring promotion.

In-situ Monitoring and Prediction of the Height of the Water-conducting Fractured Zone in a Jurassic Coal Seam in Northwestern China

The height of the water-conducting fractured zone (HWFZ) plays a significant role in environmental protection and engineering safety during underground mining. In this study, to measure the HWFZ in the Cuimu coal mine (CCM), in-situ monitoring, including water leakage tests and video capture through a borehole camera, were conducted. Considering mining height, panel width, and buried depth, 26 sets of samples were collected from mines in the northwest to obtain a multi-factor regression formula. Additionally, we used the 26 sets of samples as training material for machine learning to predict the HWFZ. Then, to assess why the traditional empirical formula proposed to measure the HWFZ is inapplicable for the Jurassic coal mines in the northwest, the sedimentary environment of the Ordos Basin, the RQD of drilled cores, and the overburden structure characteristics were investigated. Finally, a strata subsidence model was built to analyze the mathematical mechanism of the HWFZ induced by mining activity. The results show that the proposed regression formula and machine learning model can accurately predict the HWFZ of mines in the northwest. Due to the more stable sedimentary environment, the RQD of drilled cores from the Jurassic coal seam is higher and the strata tend to have better continuity as compared to the cores from the Carboniferous coal seam. The strata subsidence model indicates that the residual bulging coefficient influences the HWFZ significantly, which can explain why the measured HWFZ in the northwest is much larger than the predicted values based on the traditional empirical formula. This study is useful to accurately predict and understand the HWFZ in Jurassic coal seams in northwestern China.

PENGARUH MINAT MEMBACA SISWA TERHADAP PRESTASI BELAJAR BAHASA INDONESIA SISWA KELAS III MIN 3 PURWOREJO

This research is field research that looks at the problems of reading interest on learning Bahasa Indonesia in grades III at MIN 3 Purworejo with the problems and how students reading interes, how is the achievement of Indonesian students in grade III and is there an effect of reading interest on Indonesian learning achievement achieved by students grade III at MIN 3 Purworejo. Therefore, the writer raised the title “The Influence of reading interest on Indonesian learning achievement of grade III students of MIN 3 Purworejo”. This type of research is quantitative research using inferential statistical techniques, namely statistical techniques, namely statistical techniques used to analyze sample data and the results aplly to the population. Research location at MIN 3 Purworejo. Furthermore, the population in this study were all grade III students at MIN 3 Purworejo. Data collection techniques were collected through questionnaires, interviews, and documentation which were then analyzed through parametric statistical statistics with a simple Linear regression formula. Based on the results of research and statistical analysis carried out using a simple linear regression formula, the results of the calculation of Pearson’s Product Moment correlation indicate that the statue = 0,828 > ttabel = 0,297 with a significant level of 5% means that reading interest has a strong relationship with Indonesia learning achievement. The result of the ttest calculation shows that thitung = 9,802 > tabal = 2,000 with a significance level of 5%. The result of the calculation of the test Fcount = 96,070 and Ftabel =2,2 with a significant level of 5% the result of the coefficient (R2) = 0.686 whitch show that reading interest affects the Indonesian language learning achievement by 68% while the other 32% is influenced by other factors.