Development Importance of The Regional Development Program (Comparative Study Between Babylon and Maysan Provinces For 2019)

In this research, the relationship between the regional development program and achieving spatial development goals (a comparative study between Babylon and Maysan provinces for 2019) will be discussed, as well as the factors that lead to a kind of moderation in the development of the provinces, and whether these factors help to distribute the spatial budget between administrative units, based on the application of development fundamentals and in accordance with planning standards in order to achieve the development goals of the regional program. Distributed (100) forms divided into (n=50 samples of executives and administrators from Babylon province, n=50 samples of executives and administrators from Maysan province) who are employees working in different administrative units in both provinces. Applied the statistical package program for social sciences( statistical package for social science(SPSS) v.2 Through it, the link tool was used Correlation In applying this questionnaire, it was found that there is a correlation between the dimensions of the predictive variable program of the development of the regions and they are (institutional dimension, economic dimension, urban social dimension, environmental dimension), and also that there is a correlation between the dimensions of the predictive variable program of regional development and (spatial dimension) of the variable achieving the objectives of spatial development for the province of Babylon and Maysan. Based on the above, we have found that the improvement in the dimensions of the predictive variable program of the development of the provinces leads to the achievement of the objectives of spatial development and in accordance with the planning standards of the province of Babylon and Maysan, either weakness in the axes or dimensions of the predictive variable leads to weakness or failure to achieve development goals in the provinces of Babylon and Maysan.

Predicting the risk of respiratory distress in newborns with congenital pulmonary malformations

ObjectivesMost children with prenatally diagnosed congenital pulmonary malformations (CPM) are asymptomatic at birth. We aimed to develop a parsimonious prognostic model for predicting the risk of neonatal respiratory distress (NRD) in preterm and term infants with CPM, based on the prenatal attributes of the malformation.MethodsMALFPULM is a prospective population-based nationally representative cohort including 436 pregnant women. The main predictive variable was the CPM volume ratio (CVR) measured at diagnosis (CVR first) and the highest CVR measured (CVR max). Separate models were estimated for preterm and term infants and were validated by bootstrapping.ResultsIn total, 67 of the 383 neonates studied (17%) had NRD. For infants born at term (>37 weeks, N=351), the most parsimonious model included CVR max as the only predictive variable (ROC area: 0.70±0.04, negative predictive value: 0.91). The probability of NRD increased linearly with increasing CVR max and remained below 10% for CVR max<0.4. In preterm infants (N=32), both CVR max and gestational age were important predictors of the risk of NRD (ROC area: 0.85±0.07). Models based on CVR first had a similar predictive ability.ConclusionsPredictive models based exclusively on CVR measurements had a high negative predictive value in infants born at term. Our study results could contribute to the individualised general risk assessment to guide decisions about the need for newborns with prenatally diagnosed CPM to be delivered at specialised centers.

Effects of Advertising on Food Consumption Preferences in Children

(1) Background: Childhood obesity is a public health problem. The purpose of this study was to know if exposure to commercial messages which advertise food products exerts any effect on the short-term consumption preferences of 4- to 6-year-old children. (2) Methods: A double-blind and randomized experimental design. Sample consisted of 421 boys and girls from twelve schools in a city in Spain. (3) Results: In three of the four product pairs shown, the products advertised in the intervention were preferred. In the results of applying the model for the first product pair presented, sugared cereals, the predictive variable which best explains the behavior of the preferences expressed is gender (Odds Ratio 0.285 (0.19–0.42); p < 0.05). For the second pair, chocolate cookies, the family’s nationality has a strong weight in the model. As regards the regression model calculated for the last pair (filled rolls), the predictive variable which showed having more influence was gender. Boys had a 1.39 times higher risk of selecting the advertised product than girls. (4) Conclusions: The persuasive effect of commercials has shown to be influential in a general, immediate, and significant way only in the case of products with wide brand awareness. This study reinforces the importance of advertising and emphasizes the need to initiate measures to control the content of TV commercials.

Effect of Mixed Spikes on Different Types of Complex Waves

This article treats analytically. This paper presents a novel approach to complex waves. This article outlines the understanding of the various effects of spike representations used to make models of the predictive variable effects of the second-order portion of power while revealing the relationship between the time series segments that are recorded from a single unit. MATLAB has been used to show the effects of mixed spikes in graphs. The resulting power portion has varied representation effects in which both the random and fixed effects are expressed as functions of the frequency domain.

PENGARUH KEPERCAYAAN SISWA PADA MATEMATIKATERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA

This study aims to describe the effect of student confidence in mathematics on students' mathematical problem solving abilities. This type of research is a quasiexperimental study and the sample in this study is a class XI student majoring in hotel accommodation with 31 students. Retrieval of data using questionnaire and test instruments. The results of this study obtained the average student confidence in mathematics at 60.23 with a standard deviation of 3.66. While the mathematical problem solving abilities of students obtained an average of 66.94 with a standard deviation of 9.63. Students 'trust in mathematics and students' mathematical problem solving abilities are quite sufficient. There is an influence of students 'trust in mathematics on students' mathematical problem solving abilities indicated by F count (4,746) ≥ F table (4,18) or significance number at 0,038 ≤ 0.05 ANOVA. The magnitude of the influence of student confidence in mathematics on students' mathematical problem solving abilities is 14.1%. The regression equation obtained by Y ̂ = 7.455 + 0.988X + ϵ. This means that if the value of student confidence in mathematics is 1 unit, then the value of the predictive variable will increase by 0.988. The higher the confidence of students in mathematics, the mathematical problem solving abilities of students will also increase.

Ability of 18F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma

Purpose. To investigate the value of SUV metrics and radiomic features based on the ability of 18F-FDG PET/CT in differentiating between breast lymphoma and breast carcinoma. Methods. A total of 67 breast nodules from 44 patients who underwent 18F-FDG PET/CT pretreatment were retrospectively analyzed. Radiomic parameters and SUV metrics were extracted using the LIFEx package on PET and CT images. All texture parameters were divided into six groups: histogram (HISTO), SHAPE, gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), neighborhood gray-level different matrix (NGLDM), and gray-level zone-length matrix (GLZLM). Receiver operating characteristics (ROC) curves were generated to evaluate the discriminative ability of each parameter, and the optimal parameter in each group was selected to generate a new predictive variable by using binary logistic regression. PET predictive variable, CT predictive variable, the combination of PET and CT predictive variables, and SUVmax were compared in terms of areas under the curve (AUCs), sensitivity, specificity, and accuracy. Results. Except for SUVmin (p=0.971), the averages of FDG uptake metrics of lymphoma were significantly higher than those of carcinoma (p≤0.001), with the following median values: SUVmean, 4.75 versus 2.38 g/ml (P<0.001); SUVstd, 2.04 versus 0.88 g/ml (P=0.001); SUVmax, 10.69 versus 4.76 g/ml (P=0.001); SUVpeak, 9.15 versus 2.78 g/ml (P<0.001); TLG, 42.24 versus 9.90 (P<0.001). In the ROC curves analysis based on radiomic features and SUVmax, the AUC for SUVmax was 0.747, for CT texture parameters was 0.729, for PET texture parameters was 0.751, and for the combination of CT and PET texture parameters was 0.771. Conclusion. The SUV metrics in 18FDG PET/CT images showed a potential ability in the differentiation between breast lymphoma and carcinoma. The combination of SUVmax and PET/CT texture analysis may be promising to provide an effectively discriminant modality for the differential diagnosis of breast lymphoma and carcinoma, even for the differentiation of subtypes of lymphoma.