scholarly journals Spatial variation of date production in Al-Zahdi and Al-Khistawi in Iraq for the duration (2010-2019) and its future predictions

2021 ◽  
Vol 1 (136) ◽  
pp. 81-106
Author(s):  
Dr. Amal Sabah Hassan
Keyword(s):  
Spatial Variation ◽  
Hierarchical Cluster ◽  
Spatial And Temporal Variation ◽  
Common Elements ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Production Quantity ◽  
Calculated Period ◽  
Ancient Times ◽  
Production Areas

The study is part of agricultural studies that address the productivity problem of the two most prominent types of dates in areas known to have been cultivated since ancient times. Palm cultivation and date production are constantly deteriorating in most of its production areas, so the study summarized the spatial variation of the production of Al-Zahdi and Al-Khistawi in iraq's production provinces for the period (2010-2019), to determine the volume of production and future predictions using approved statistical methods. The study was followed by two main approaches (geospatial analysis method) to determine spatial variations in production (and the inference analysis method) as the simple linear regression model was chosen to find the predictive value of its production in the study area by relying on a time series of production quantity (2010-2019) by provinces and for the two categories through a set of results such as correlation value coefficient and F value of the overall morality of the regression equation and the value (t) of the partial parameters of the parameters. According to this model, the production of the two categories was predicted until 2025, and the results showed a spatial and temporal variation in production at the level of the producing provinces. The hierarchical cluster analysis was used to divide the provinces into clusters with common elements and characteristics in production and which is unique from the rest of the provinces by producing one of the categories, indicating the specificity of these provinces in their production in quantity and quality. Based on the data available from the Ministry of Planning/Central Bureau of Statistics/Directorate of Agricultural Statistics on production volumes at the level of the provinces producing for the calculated period. The study included many tables, charts and illustrative maps, the study also came up with a number of conclusions and proposals, and the study relied on many important sources in the topic.

PENGARUH KINERJA PENGELOLAAN KEUANGAN DAERAH TERHADAP PERTUMBUHAN EKONOMI, PENGANGGURAN DAN KEMISKINAN DI KOTA DEPOK

2019 ◽  
Vol 2 (2) ◽  
pp. 372
Author(s):  
Suryanta Suryanta
Keyword(s):  
Economic Growth ◽  
Statistical Analysis ◽  
Financial Management ◽  
Regression Coefficient ◽  
Descriptive Analysis ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Quantitative Descriptive Analysis ◽  
Income Gap ◽  
Quantitative Descriptive

This study aims to analyze whether the performance of regional financial management influences economic growth in Depok City, analyzes whether the performance of regional financial management influences unemployment in Depok City, and analyzes whether the performance of regional financial management affects poverty in Depok City with the 2006 study period- 2015 The analysis method used is quantitative descriptive analysis and simple linear regression statistical analysis. Based on the results of hypothesis testing it can be proven that the performance of regional financial management (independence ratio) has a positive and significant effect on economic growth, this can be seen from the value of sig. 0.046 <0.05 with a regression coefficient of 1.883. Then the performance of regional financial management has a negative and significant effect on unemployment, this can be seen from the value of sig. 0.030 <0.05 with a regression coefficient of -6.864. But the performance of regional financial management has no significant effect on poverty, this can be seen from the sig. 0.065> 0.05 with a regression coefficient of -0.512. This can be due to the still high income gap in the community, so that the increasing regional income has not been able to significantly reduce poverty in Depok.

PENGARUH KUALITAS PRODUK DAN KUALITAS LAYANAN TERHADAP KEPUASAN PELANGGAN

2017 ◽  
Vol 5 (3) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Nirmala Putri Sari
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Sampling Method ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
The City

The aim of this study was to analize the effects of product quality and service quality on the customer satisfaction. This study took place in the City of Bekasi and objects in this study are all customer who use the Matrass GM-9000. Primary data was obtained from customers of Matrass GM-9000 in Bekasi City through admission filling of questionnaire by using scale of Likert. The respondent of this study was chosen through accidental sampling method, and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that product quality and service quality positively and significant influenced the customer satisfaction

PENGARUH KUALITAS LAYANAN DAN NILAI PELANGGAN TERHADAP KEPUASAN PELANGGAN

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Silviana Fadilla Prasevie
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Sampling Method ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Central Java ◽  
Data Analysis Method

The purpose of this study was to analize the impacts of service quality and customer value on the satisfaction of customers. Questionnaires are used to collect data from Boks Café customer in Bumiayu, Kabupaten Brebes, Central java by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that service quality and customer value positively and significant influenced the satisfaction of customers. The conclution of this study is that customer value was dominant than service quality in influencing the satisfaction of customers

PENGARUH KUALITAS LAYANAN DAN CITRA PERUSAHAAN TERHADAP KEPUASAN NASABAH

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Elza Finnora
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Services Quality ◽  
Corporate Image ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
Data Analysis Method

The aim of this study was to analize the influence of services quality and corporate image on the satisfaction of customers. Primary data was obtained from customers of Standard Chartered Bank through admission filling of questionnaire by using scale of Likert. In this study, accident sampling method was used and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that services quality and corporate image positively and significant influenced the satisfaction of customers. The conclution of this study is that services quality was dominant than corporate image in influencing the satisfaction of customers.

scholarly journals Spatial and Temporal Variation in Microbial Diversity and Community Structure in a Contaminated Mangrove Wetland

2020 ◽  
Vol 10 (17) ◽  
pp. 5850
Author(s):  
Jiaojiao Ma ◽  
Ting Zhou ◽  
Chunyu Xu ◽  
Dawen Shen ◽  
Songjun Xu ◽  
...  
Keyword(s):  
Community Structure ◽  
Spatial Variation ◽  
Temporal Variation ◽  
Bacterial Diversity ◽  
Diversity Index ◽  
Total Carbon ◽  
Spatial And Temporal Variation ◽  
Rrna Gene ◽  
Mangrove Wetland ◽  
Mangrove Soils

Field and laboratory investigations were conducted to characterize bacterial diversity and community structure in a badly contaminated mangrove wetland adjacent to the metropolitan area of a megacity in subtropical China. Next-generation sequencing technique was used for sequencing the V4–V5 region of the 16s rRNA gene on the Illumina system. Collectively, Proteobacteria, Chloroflexi, Planctomycetes, Actinobacteria and Bacteroidetes were the predominant phyla identified in the investigated soils. A significant spatial variation in bacterial diversity and community structure was observed for the investigated mangrove soils. Heavy metal pollution played a key role in reducing the bacterial diversity. The spatial variation in soil-borne heavy metals shaped the spatial variation in bacterial diversity and community structure in the study area. Other environmental factors such as total carbon and total nitrogen in the soils that are affected by seasonal change in temperature could also influence the bacterial abundance, diversity and community structure though the temporal variation was relatively weaker, as compared to spatial variation. The bacterial diversity index was lower in the investigated site than in the comparable reference site with less contaminated status. The community structure in mangrove soils at the current study site was, to a remarkable extent, different from those in the tropical mangrove wetlands around the world.

scholarly journals Spatial distribution and temporal variation of microcrustaceans assembly (Cladocera and Copepoda) in different compartments of a reservoir in the brazilian semiarid region

2018 ◽  
Vol 30 (0) ◽  
Author(s):  
Josiane Souza Santos ◽  
Nadson Ressyé Simões ◽  
Sérgio Luiz Sonoda
Keyword(s):  
Spatial Distribution ◽  
Spatial Variation ◽  
Temporal Variation ◽  
Aquatic Macrophytes ◽  
Temporal Dynamics ◽  
Lateral Compartment ◽  
Spatial And Temporal Variation ◽  
Semiarid Region ◽  
Brazilian Semiarid ◽  
Significant Spatial Variation

Abstract Aim: The objective of this study was to investigate the spatial and temporal variation of microcrustacean assemblages of a reservoir in the Brazilian semiarid region. Methods Physical and chemical water variables and samples of microcrustaceans were collected at eight sites of the reservoir between July 2013 and November 2014, in a total of seven campaigns. For this study, the reservoir was categorized in two compartments: lateral and central. Results Limnological variables showed significant temporal variation (PERMANOVA, Pseudo-F = 19.51, p = 0.001). Higher turbidity values and suspended solids were observed in the rainiest months, while during the dry months, we measured higher values of transparency, dissolved oxygen, and chlorophyll-a. It was not found significant spatial variation of limnological variables (PERMANOVA, Pseudo-F = 0.96; p = 0.394). During the study period, ten species were recorded: four Cladocera (Ceriodaphnia cornuta, Daphnia gessneri, Diaphanosoma birgei and Diaphanosoma spinulosum ) three Copepoda Calanoida (Argyrodiaptomus azevedoi, Notodiaptomus cearensis and Notodiaptomus iheringi) and three Copepoda Cyclopoida (Macrocyclops albidus, Thermocyclops minutus and Thermocyclops decipiens). The microcrustacean assemblages showed significant temporal variation (PERMANOVA, Pseudo-F = 4.34; p = 0.001) as well as significant spatial variation (PERMANOVA, Pseudo-F = 9.46; p = 0.001). The highest values of abundance and richness were observed in the lateral compartment, this result is mainly related to the presence of aquatic macrophytes in this region, because the analysis of partial RDA indicated that limnological variables explained only 11% of this variation (Pseudo-F = 2.08, p = 0.001). Conclusions The results suggest that the seasonality of the semiarid is an important factor in the temporal dynamics of the limnological variables, while the aquatic macrophytes play an important role in the spatial distribution of the microcrustacean assembly.

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

Spatial variation in CO2 efflux from the soil in a mature beech forest ecosystem.

2021 ◽  
Author(s):  
Yihan Cai ◽  
Takahiro Nishimura ◽  
Hideyuki Ida ◽  
Mitsuru Hirota
Keyword(s):  
Spatial Variation ◽  
Temporal Variation ◽  
Forest Ecosystem ◽  
Linear Regression Analysis ◽  
Basal Area ◽  
Beech Forest ◽  
Controlling Factors ◽  
Spatial And Temporal Variation ◽  
Canopy Openness ◽  
Co2 Efflux

&lt;p&gt;&amp;#160;Soil respiration (Rs) is the second largest carbon flux between the atmosphere and terrestrial ecosystem. Because of the large proportion, even small change in Rs would considerably impact the global carbon cycle. Therefore, it is important to accurately estimate Rs by taking its spatial and temporal variation into consideration. While the temporal variation of Rs and its controlling factors have been well-described, large unexplainable part still has been remained in the spatial variation of Rs especially in the forest ecosystems with complex structures. The objective of this study is to fill the knowledge gap about spatial variation of Rs and its controlling factors in a typical mature beech forest in Japan. Hypotheses of this study were, 1) Rs would show large spatial variation in the mature beech forest, 2) the spatial variation of Rs was mainly influenced by soil water content (SWC) and soil temperature (ST), 3) the two key factors were determined by the forest structures. This study was conducted in a 1- ha permanent study plot in the mature beech forest with significant gap-mosaic structures. To examine these hypotheses, Rs, SWC, ST and parameters related to forest structure, i.e. sum of basal area, diameter at breast height, number of trees, number of species within a radius of 5 m from the Rs measurement points, and canopy openness were measured at 121 points in different season between 2012 to 2013. In this study, all the measurements of Rs were conducted by using alkali-absorption technique.&lt;/p&gt;&lt;p&gt;&amp;#160;Coefficient of variation of Rs was between 25 - 28 % which was similar to that of SWC in all the measurements. The spatial variation of Rs was relatively higher in July, August and September than that in June and October. There was no significant relationship in the spatial variation between Rs and ST in all the measurements, meanwhile, Rs was well explained by SWC in measurements conducted in August, September and October. Multiple linear regression analysis indicated that canopy openness and sum of basal area showed significant positive and negative correlation with SWC, respectively. And canopy openness explained SWC much more than sum of basal area did. This result suggested that SWC, the key factor determined the spatial variation of Rs, cannot be only explained by stems distribution and their characteristics, but also canopy architecture in the forest ecosystem.&lt;/p&gt;

STATISTICAL ANALYSIS OF LABOUR RESOURCES IN ROMANIA, BEFORE COVID-19 PANDEMIC CRISIS

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Ciprian Iftimoaei ◽  
Cristian-Ionuţ Baciu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Economic Transition ◽  
Linear Regression Analysis ◽  
Hierarchical Cluster ◽  
Developed Countries ◽  
The European Union ◽  
Simple Linear Regression

In the three decades since the collapse of communism in Romania (1989), human resources have gone through several distinct moments in the process of social and economic transition, from the state economy to the market economy: (1) the period 1990-2007 characterized by declining employment, rising unemployment, low wages, employee poverty, labour migration to developed countries; (2) the period 2007-2019 in which Romanian employees experienced the benefits of the European integration process, which meant economic macrostability, increased foreign investment, projects financed by European operational programs that led to increased living standards, increased employment, labour crisis; (3) the period beginning with the 2020 pandemic year and the economic and social crisis, the effects of which are already quantified by official statistics. This paper proposes a retrospective analysis of the evolution of labour resources in Romania, after joining the European Union. The methodology used combines descriptive statistical analysis (labour resources, activity rate, employment rate, unemployment rate, average net earnings), hierarchical cluster analysis to compare the employment situation in Romania in the year of accession to the European Union (2007) versus the year before the onset of the pandemic crisis (2019) and the simple linear regression analysis, having as an independent variable the „unemployment rate” and as a dependent variable „the number of employees”. Simple linear regression is used not only for teaching purposes, but in addition to testing the link between variables, we wanted to find out how much the number of employees decreases if the unemployment rate increases by one percentage point nationwide. The data used come from the TEMPO Online database of the National Institute of Statistics and were processed with the SPSS.

scholarly journals A Novel Analysis Method for Evaluating the Interplay of Oxygen and Ionizing Radiation at the Gene Level

2021 ◽  
Vol 12 ◽  
Author(s):  
Jeannette Jansen ◽  
Patricia Vieten ◽  
Francesca Pagliari ◽  
Rachel Hanley ◽  
Maria Grazia Marafioti ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Cell Line ◽  
Cell Lines ◽  
Radiation Treatment ◽  
Hierarchical Cluster ◽  
Specific Gene ◽  
Analysis Method ◽  
Whole Genome Analysis ◽  
Gene Level ◽  
The Impact

Whilst the impact of hypoxia and ionizing radiations on gene expression is well-understood, the interplay of these two effects is not. To better investigate this aspect at the gene level human bladder, brain, lung and prostate cancer cell lines were irradiated with photons (6 Gy, 6 MV LINAC) in hypoxic and normoxic conditions and prepared for the whole genome analysis at 72 h post-irradiation. The analysis was performed on the obtained 20,000 genes per cell line using PCA and hierarchical cluster algorithms to extract the most dominant genes altered by radiation and hypoxia. With the help of the introduced novel radiation-in-hypoxia and oxygen-impact profiles, it was possible to overcome cell line specific gene regulation patterns. Based on that, 37 genes were found to be consistently regulated over all studied cell lines. All DNA-repair related genes were down-regulated after irradiation, independently of the oxygen state. Cell cycle-dependent genes showed up-regulation consistent with an observed change in cell population in the S and G2/M phases of the cell cycle after irradiation. Genes behaving oppositely in their regulation behavior when changing the oxygen concentration and being irradiated, were immunoresponse and inflammation related genes. The novel analysis method, and by consequence, the results presented here have shown how it is important to consider the two effects together (oxygen and radiation) when analyzing gene response upon cancer radiation treatment. This approach might help to unrevel new gene patterns responsible for cancer radioresistance in patients.

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