scholarly journals Geochemical Anomaly Separation by Statistical and Fractal Methods in the Sehezar Valley of Tonekabon – Northern Iran

2019 ◽  
Author(s):  
Meysam Yazdani ◽  
Firouz Alinia
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Pearson Correlation ◽  
Univariate Analysis ◽  
Screening Method ◽  
Bivariate Analysis ◽  
Geochemical Anomaly ◽  
Threshold Method ◽  
Fractal Methods

Sehezar area is located in southern Tonokabon in Mazandaran province, north of Iran, near the Tarom – Hashdtjin belt. The existence of granitoid masses in the region can be important in terms of the potential of mineralization. Geochemical anomaly separation from the background is one of the important steps in mineral exploration. In the past decades, geochemical anomalies have been identified by means of various methods. Some of these separation methods include: statistical analysis methods (like univariate, bivariate, multivariate statistics), spatial statistical methods and fractal and multi-fractal methods. To identify the anomalous area, 71 stream sediment samples were collected from the area and analyzed by the ICP-MS method, and then interpreted. Initially, data were normalized and afterwards, univariate analysis (threshold limit and screening (P.N) methods) was used, in which results of the probable and definite anomaly of the threshold method were confirmed by the P.N screening method. Finally, the maps of the anomal zones were drawn. Then, bivariate analysis (Pearson correlation coefficients) and multivariate analysis on normal data were performed on SPSS software, in which factor analysis and cluster analysis were used for multivariate analysis. As a result of using the factor analysis method, six factors were identified and factor maps were drawn by the Surfer software. Also, by using cluster analysis, the variables were divided into two groups. In order for a better separation of the geochemical anomaly from the background, in addition to the threshold method, the Concentration - Area fractal method was used. Here, the fractal geometry using full-logarithmic graphs of the Concentration - Area obtained is capable of separating the stairs of different sections (background, threshold, and anomaly) with respect to the angle coefficient of the Concentration - Area plot. Then, in conclusion, results of these methods were compared and investigated, and finally, the anomalies area maps of the Au, Ag, Cu, Fe, W elements were drawn by Concentration - Area fractal and threshold methods and anomalous zones were introduced.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

scholarly journals Environmental Scanning Mechanism and Its Effects on the Performance: Evidence from UAE

2017 ◽  
Vol 13 (1) ◽  
pp. 190
Author(s):  
Mansour S. M. A. M. Lotayif
Keyword(s):  
Multivariate Analysis ◽  
Multiple Regression ◽  
Descriptive Analysis ◽  
Univariate Analysis ◽  
Bivariate Analysis ◽  
Environmental Scanning ◽  
Significant Relationships ◽  
Scanning Frequency ◽  
Scanning Mechanism

The current Research aims at figuring out relationships between performance (as measured by ROE and PM) and demographics, interest in scanning, kinds of scanning, scanning frequency, sources of scanning (impersonal and personal), and obstacles of scanning. Experiences of 292 UAE executives have been used to fulfill these objectives. Via SPSS package release ten and seventeen, multivariate analysis (e.g. Multiple Regression), bivariate analysis (e.g. WSRT), and univariate analysis (e.g. descriptive analysis like mean, percentage, and sum) were conducted to explore the network of relationships amongst variables. Significant relationships between performance (as measured ROE) and interest in scanning, scanning frequency, sources of scanning (impersonal), and obstacles of scanning are existed. Significant relationships between performance (as measured by PM) and interest in scanning, scanning frequency, sources of scanning (personal), and sources of scanning (impersonal) are also existed. Finally, the current study revealed that UAE businesses are conducting regular, proactive, and hoc scanning more often than irregular, reactive, and primitive scanning.

scholarly journals DETERMINAN PEMILIHAN METODE KONTRASEPSI JANGKA PANJANG PADA AKSEPTOR KB AKTIF DI PUSKESMAS PEDAMARAN

2019 ◽  
Vol 1 (01) ◽  
Author(s):  
Lusia Weni ◽  
Muhammad Yuwono ◽  
Haerawati Idris
Keyword(s):  
Multivariate Analysis ◽  
Family Planning ◽  
Information Needs ◽  
Large Population ◽  
Univariate Analysis ◽  
Bivariate Analysis ◽  
Contraceptive Methods ◽  
Long Acting ◽  
Selection Of

<span lang="IN">Determinant of the selection of long-term contraceptive methods on family planning acceptors in Pedamaran community health center. </span><span lang="EN"> The population problem faced by Indonesia is a large population with a low quality of life. Uncontrolled population rate will cause baby booming so information needs to be disseminated about the benefits of family planning (FP). Long-term contraceptive method has a high level of effectiveness and can reduce the rate of population growth. </span><span lang="EN">This study aim to determine the factors that affect the selection of long-term contraceptive methods in active family planning acceptors.</span><span lang="EN">This study used a cross-sectional study design and using</span><span lang="IN"> simple random sampling</span><span lang="EN"> technique, consisted of 243 acceptors. Analyzes of data were univariate analysis, bivariate analysis using chi-square test with α = 0.05 and 95% confidence interval value, and multivariate analysis using binary logistic regression.</span><span lang="EN">Based on multivariate analysis was the variables significantly related to the selection of long-acting contraception include </span><span lang="IN">age (p = 0.01; OR = 2,24; 95% CI: 1,17-4,29), education (p = 0.01; OR = 0,31; 95% CI: 0,13-0,75) and number of children (p = 0.03; OR = 2; 95% CI: 1,05-3,81).</span><span lang="EN"> Thus, age was the variable that had the greatest impact on determining the selection of long-acting contraception.</span><span lang="IN">The </span><span lang="EN">acceptors with ≥ 35 years old, low educated and have &gt;2 children more likely to choose long-acting contraception. It is hoped that family planning workers can educate and persuade people of all ages with </span><span lang="IN">different educational backgrounds so total fertility rate can be reduce.</span>

scholarly journals Biological Markers Predictive of Invasive Recurrence in DCIS

2008 ◽  
Vol 2 ◽  
pp. 117955490800200 ◽  
Author(s):  
Sharon Nofech-Mozes ◽  
Jacqueline Spayne ◽  
Eileen Rakovitch ◽  
Harriette J Kahn ◽  
Arun Seth ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Biological Markers ◽  
Pearson Correlation ◽  
Univariate Analysis ◽  
Breast Conserving Surgery ◽  
Invasive Disease ◽  
Current Approach ◽  
Time To Recurrence ◽  
Pathologic Features ◽  
Increased Risk

DCIS is a heterogeneous group of non-invasive cancers of the breast characterized by various degrees of differentiation and unpredictable propensity for transformation into invasive carcinoma. We examined the expression and prognostic value of 9 biological markers with a potential role in tumor progression in 133 patients with pure DCIS treated with breast conserving surgery alone, between 1982–2000. Histology was reviewed and immunohistochemical staining was performed. Pearson correlation coefficient was used to determine the associations between markers and histopathological features. Univariate and multivariate analysis examined associations between time to recurrence and clinico-pathologic features and biological markers. Median age at diagnosis was 55 years (25–85). With a median follow up of 8.91 years, 41/133 patients recurred (21 as invasive recurrence). In this cohort 13.5% had low, 43% intermediate and 42% high nuclear grade. Comedo necrosis was found in 65% of cases. Expression of ER (62.4%), PR (55.6%), HER2/neu (31.6%), MIB1 (39.8%), p53 (22.6%), p21 (39.8%), Cyclin D1 (95.5%) calgranulin (20.5%), psoriasin (12%), was found in DCIS. HER2/neu was overexpressed in 45% that recurred as DCIS and 42.9% that recurred as invasive cancer, and only in 26.1% in cases that never recurred. On univariate analysis, HER2/neu overexpression was the only marker associated with an increased risk for any recurrence (p = 0.044). The hazard ratio for recurrence for HER2/neu positive DCIS was 1.927 (confidence interval 1.016–3.653) compared to HER2 negative DCIS. On multivariate analysis, HER2/neu overexpression remained the only independent variable significantly associated with any recurrence (p = 0.014) and with invasive recurrence (p = 0.044). This data suggest that HER2/neu testing may become an important parameter in the management of DCIS and the treatment of cases with positive HER2/neu status could be modified accordingly, similar to the current approach for HER2/neu positive invasive disease.

scholarly journals Morphoanatomical study of Matricaria L. (Asteraceae) in Turkey

2019 ◽  
Vol 43 (2) ◽  
pp. 151-159
Author(s):  
Huseyin Inceer ◽  
Murat Bal
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Analysis Of Variance ◽  
Univariate Analysis ◽  
Principal Component ◽  
New Information ◽  
Turkish Flora ◽  
Pericarp Thickness ◽  
Diagnostic Traits

In the Turkish flora, the genus Matricaria is present with four taxa, namely M. aurea, M. chamomilla var. chamomilla, M. chamomilla var. recutita and M. matricarioides. This study presents an evaluation of selected diagnostic characters and anatomical traits of the achene (cypsela) of Matricaria in Turkey using univariate analysis (one-way analysis of variance) and multivariate analysis (cluster analysis, principal component analysis) to obtain new information. Three groups are found within the genus Matricaria based on morphoanatomical characteristics. The colour of disc florets, that of ribs on the achenes, the presence or absence of a slime envelope and pericarp thickness are useful for delimitation of Matricaria taxa, and a key to taxa based on these characters together with other diagnostic traits is provided.

scholarly journals Access to childbirth care by adolescents and young people in the Northeastern region of Brazil

2016 ◽  
Vol 50 (0) ◽  
Author(s):  
Érida Zoé Lustosa Furtado ◽  
Keila Rejane Oliveira Gomes ◽  
Silvana Granado Nogueira da Gama
Keyword(s):  
Multivariate Analysis ◽  
Health Insurance ◽  
Young People ◽  
Univariate Analysis ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Northeast Region ◽  
Childbirth Care

ABSTRACT OBJECTIVE To identify the factors that interfere with the access of adolescents and young people to childbirth care for in the Northeast region of Brazil. METHODS Cross-sectional study with 3,014 adolescents and young people admitted to the selected maternity wards to give birth in the Northeast region of Brazil. The sample design was probabilistic, in two stages: the first corresponded to the health establishments and the second to women who had recently given birth and their babies. The data was collected by means of interviews and consulting the hospital records, from pre-tested electronic form. Descriptive statistics were used for the univariate analysis, Pearson’s Chi-square test for the bivariate analysis and multiple logistic regressions for the multivariate analysis. Sociodemographic variables, obstetrical history, and birth care were analyzed. RESULTS Half of the adolescents and young people interviewed had not been given guidance on the location that they should go to when in labor, and among those who had, 23.5% did not give birth in the indicated health service. Furthermore, one third (33.3%) had to travel in search of assisted birth, and the majority (66.7%) of the postpartum women came to maternity by their own means. In the bivariate analysis, the variables marital status, paid work, health insurance, number of previous pregnancies, parity, city location, and type of health establishment showed a significant association (p < 0.20) with inadequate access to childbirth care. The multivariate analysis showed that married adolescents and young people (p < 0.015), with no health insurance (p < 0.002) and from the countryside (p < 0.001) were more likely to have inadequate access to childbirth care. CONCLUSIONS Adolescents and young women, married, without health insurance, and from the countryside are more likely to have inadequate access to birth care. The articulation between outpatient care and birth care can improve this access and, consequently, minimize the maternal and fetal risks that arise from a lack of systematic hospitalization planning.

Consumption of milk and dairy products as dominant factor of underweight among children aged 24–59 months in Java Island, Indonesia (IFLS 2014)

2020 ◽  
pp. 1-14
Author(s):  
Ida Ayu Devi Qirani ◽  
Winda Mulia Ningsih ◽  
Ratu Ayu Dewi Sartika
Keyword(s):  
Multivariate Analysis ◽  
Dairy Products ◽  
Parental Education ◽  
Univariate Analysis ◽  
Secondary Data ◽  
Dominant Factor ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Milk And Dairy Products

INTRODUCTION: Underweight is one of the most common forms of undernutrition suffered by children and has implications for both short and long term health problems. Characteristics of children, parents, and environment are factors affecting underweight in children, especially aged 24–59 months. OBJECTIVES: This study aimed to find out the dominant factors affecting underweight in children aged 24–59 months in Java Island. METHODS: This cross-sectional study used secondary data from Indonesia Family Life Survey (IFLS) 2014. There were 1,270 children aged 24–59 months who were involved in this study. We conducted univariate analysis, bivariate analysis using chi-square, and multivariate analysis using binary logistic regression. RESULTS: This study found that 20.2% of children in Java were underweight. Based on bivariate analysis, variables that significantly associated (p <  0.05) with underweight were low birth weight (LBW), acute respiratory infection (ARI), diarrhoea, frequency of eating milk and dairy products, parental education level, and underweight father. Furthermore, based on multivariate analysis, low consumption of milk and dairy products was the dominant factor in this study (OR = 1.80). CONCLUSION: Factors related to underweight can be used to determine appropriate prevention and treatment in community levels, such as by promoting a balanced nutrition program and healthy behaviour.

scholarly journals Lingkar pinggang dan lingkar leher dengan kadar kolesterol total pada wanita usia subur obesitas

2019 ◽  
Vol 15 (3) ◽  
pp. 75
Author(s):  
Rifial Ramadhan Manik ◽  
Nurmasari Widyastuti ◽  
Choirun Nissa
Keyword(s):  
Multivariate Analysis ◽  
Waist Circumference ◽  
Total Cholesterol ◽  
Significant Relationship ◽  
Pearson Correlation ◽  
Neck Circumference ◽  
Reproductive Age ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Reproductive Age Women

Waist circumference, and neck circumference correlated to total cholesterol among reproductive-age women with obesityBackground: Dyslipidemia is a metabolic disorder condition that is closely related to cholesterol and obesity. The prevalence of obesity in reproductive-age women (>18 years) in Indonesia increased dramatically. Reproductive age women with obesity are at greater risk of hypercholesterolemia compared with non-obese. Waist circumference (WC), mid-upper arm circumference (MUAC), and neck circumference (NC) can be used as a marker of higher or low cholesterol levels. Objective: This study aimed to determine the relationship between WC, MUAC, and NC with total cholesterol. Methods: The study design was cross-sectional with several subjects were 54 women of reproductive-aged 18-29 years. Subject with obese category (BMI ≥25kg/m2) was measured the WC, MUA, and NC as an independent variable and total cholesterol as the dependent variable, and dietary intake (total fat, cholesterol, and saturated fat) as confounding variables. The bivariate analysis used the Pearson correlation test. Multivariate analysis used multivariate linear regression. Results: Bivariate analysis showed there was a significant relationship between WC and NC to total cholesterol (p=0.006 and p=0.001), but not on MUAC (p=0.063). In multivariate analysis, NC is the most significantly related to total cholesterol (β=0.367; p=0.004; Adjusted R Square 24%) than WC. Conclusions: There is a significant relationship between WC and NC to the total cholesterol in women of reproductive age obesity. NC more significantly related to total cholesterol.

scholarly journals HUBUNGAN ASI EKSKLUSIFDENGAN STATUS GIZI ANAK USIA 6-24 BULAN DI WILAYAH KERJA PUSKESMAS BENTENG KABUPATEN INDRAGIRI HILIRI TAHUN 2019

2020 ◽  
Vol 2 (3) ◽  
pp. 72-77
Author(s):  
Indah Dwi Aryani Indah Dwi Aryani
Keyword(s):  
Multivariate Analysis ◽  
Nutritional Status ◽  
Exclusive Breastfeeding ◽  
Family Income ◽  
Univariate Analysis ◽  
Sampling Procedure ◽  
The Body ◽  
Bivariate Analysis ◽  
Nutritional Status Of Children ◽  
The Right

Abstract Nutritional status can be interpreted as a health status produced by a balance between nutritional needs and input. Nutritional status is largely determined by the availability of nutrients in sufficient quantities and in the right combination of time at the body cell level to develop and function normally. The purpose of this research is to know the relationship between exclusive breastfeeding and nutritional status of children aged 6-24 months in the working area of ​​Benteng Puskesmas, Indragiri Hilir Regency in 2019. This research is an observational analytic quantitative with the type of analytical cross section study. This research was conducted from June to July 2019. Data analysis was carried out in stages including univariate analysis, bivariate analysis and multivariate analysis. The sampling procedure is done by Purposive Sampling with Quota Sampling with a sample size of 220 toddlers. The results of multivariate analysis, the most influential variable was exclusive breastfeeding (POR = 5.263, 95% CI = 2.519-10.994) .. Education (POR = 4.146, 95% CI = 2.031-8.463). Family income (POR = 2,190, 95% CI = 1,068-4,491). The conclusion in this study is that exclusive breastfeeding, education, and income are related to nutritional status. It is expected that mothers who have toddlers to better understand and improve information and knowledge about exclusive breastfeeding and also about nutrition and nutrition for children aged 6-24 months.

scholarly journals Correlation between Hemoglobin Reticulocytes and Ferritin in Chronic Kidney Disease Patients Undergoing Hemodialysis at PKU Bantul

2021 ◽  
Vol 17 (2) ◽  
pp. 133
Author(s):  
Muhammad Salman Shalahuddin ◽  
Linda Rosita
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Serum Ferritin ◽  
Iron Status ◽  
Pearson Correlation ◽  
Univariate Analysis ◽  
Secondary Data ◽  
Cardiovascular Complications ◽  
Bivariate Analysis ◽  
Cross Sectional

Abstract: As many as 7 – 12% of the world's population has chronic kidney disease (CKD). CKD patients can experience various complications, one of which is anemia. Anemia can cause a variety of cardiovascular complications in CKD patients. Enforcement of the diagnosis of anemia and its type is carried out by laboratory examination, among others by examination of reticulocytes-hemoglobin (ret-he) and iron status such as serum ferritin. Examination of these parameters can help in planning the right treatment for CKD patients who have anemia. The purpose of this study was to determine the relationship of Ret-he with ferritin levels in CKD patients undergoing hemodialysis at PKU Bantul Hospital. This study used cross-sectional method. The data source used was secondary data obtained from medical records and the Indonesian Renal Registry (IRR). Sampling research used consecutive sampling method. The analysis used univariate analysis which was frequency distribution table, and bivariate analysis. Univariate analysis obtained that average levels of ret-he from 50 subjects was 28.87 ± 3.75 pg and median serum ferritin levels were 118,1 (9,76 – 1615) mL. Bivariate analysis with pearson correlation test found a significant correlation between serum ret-he and ferritin levels (r = 0.498, p = 0.000).There was a significant correlation between he-ret levels and serum ferritin levels Keywords: chronic kidney disease, anemia, reticulocytes-hemoglobin, serum ferritin.

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