scholarly journals Modeling the Incidence of Yellowing Diseases to Whiteflies and Alternative Host

2021 ◽  
Vol 5 (2) ◽  
pp. 88-95
Author(s):  
Gusde Ida Bagus Gde Pranatayana ◽  
I Putu Sudiarta ◽  
Ali Nurmasyah ◽  
Ali Nurmasyah
Keyword(s):  
Host Plants ◽  
Least Squares Method ◽  
Virus Disease ◽  
Linear Regression Analysis ◽  
Ordinary Least Squares ◽  
Plant Diseases ◽  
P Value ◽  
Alternative Host ◽  
Yellowing Disease ◽  
The Relationship

Yellowing diseases is one types of plant diseases which are found in some of the centers of cultivation of yard long bean in Bali. The spread of yellowing diseases caused the presence of vector insects, such as whiteflies and alternative host plants, such as weeds and other crops. This problem is then examined through statistical modeling in order to determine the pattern of the relationship between the incidence of yellowing disease with the populations of whiteflies and the alternative host plants. Collection of data on the yellowing disease incidences, the abundance of whiteflies, and the existence of alternative host plants was done through a direct observation in 100 farmer fields in several centers of cultivation of yard long beans in Bali. Determination of the best mathematical model was performed by linear regression analysis with ordinary least squares method. The results indicated that the best models for the relationship between the incidence of yellowing disease (KPK) with the population of whiteflies (KB) as well as the alternative host plants of yellowing were as follows: KPK = 1,2265 KB0,9872 TIAK1,0936 (R2 = 98,43 %; P-value = 0,000). The incidence of yellowing disease was highly significant positively correlated with the population of whiteflies and yellowing symptomatic alternative host plants. The existence of alternative host plants around the field was very decisive in triggering the emergence of yellow virus disease in the crop.

Housing supply and its relationships with land supply

2015 ◽  
Vol 8 (3) ◽  
pp. 375-395 ◽  
Author(s):  
Guowei Gu ◽  
Lynne Michael ◽  
Yapeng Cheng
Keyword(s):  
Least Squares Method ◽  
Linear Regression Analysis ◽  
Time Lag ◽  
Housing Price ◽  
Construction Cost ◽  
Ordinary Least Squares ◽  
Price Impact ◽  
Housing Supply ◽  
Land Supply ◽  
Content Type

Purpose – This paper aims to explore the determinants of housing supply and the relationships between land supply and housing supply in terms of quantity and time in Shanghai, China. Design/methodology/approach – Official statistical and property registration data[] from Shanghai are used to carry out multiple linear regression analysis. Findings – The authors find that land supply affects housing supply with a three-year time lag. Both construction cost and housing price impact supply with a one-year time delay. The construction cost elasticities range from 0.74 to 1.51, while housing price elasticity is 2. The authors also find that plot ratio may play more important role in the developer’s first housing sale than either plot area or sales price. An average time period from obtaining the land for residential development until marketing the product is established at 36.8 months. Research limitations/implications – Only ordinary least squares method is applied in this analysis and the property portal on which this research relies is still at an early stage. Originality/value – This research contributes to a wider understanding of issues surrounding housing supply in the local markets within China and provides the foundation for local government to better manage supply.

scholarly journals Reduced left atrial strain in magnetic resonance imaging is associated with abnormal P-waves in patients after acute myocardial infarction

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
M Wester ◽  
J Pec ◽  
C Fisser ◽  
K Debl ◽  
O Hamer ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Linear Regression ◽  
Left Atrial ◽  
Regression Models ◽  
Linear Regression Analysis ◽  
P Wave ◽  
P Value ◽  
Linear Regression Models ◽  
The Relationship

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): ReForM-B-Program Background Abnormal P-wave terminal force in lead V1 (PTFV1) is associated with atrial remodeling. The relationship between PTFV1 and atrial function after acute myocardial injury is insufficiently understood and may be elucidated by detailed feature tracking (FT) strain analysis of cardiac magnetic resonance images (CMR). Purpose We investigated the relationship between PTFV1 and left atrial (LA) strain (measured by CMR) in a patient cohort presenting with acute myocardial infarction (MI). Methods 56 patients with acute MI underwent CMR within 3-5 days after MI. PTFV1 was measured as the product of negative P-wave amplitude and duration in lead V1 (Fig. A). A PTFV1 >4000 ms*µV was defined as abnormal. CMR cine data were retrospectively analyzed using a dedicated FT software. LA strain (ε) and strain rate (SR) for atrial reservoir ([εs]; [SRs]), conduit ([εe]; [SRe]) and booster function ([εa]; [SRa]) were measured in two long-axis views (Fig. A). Results Patients with abnormal PTFV1 had significantly reduced LA conduit function εe and SRe (Fig. B + D). There was a significant negative correlation between the extent of PTFV1 and both εe and SRe (Fig. C + E). In univariate and multivariate regression models, both PTFV1 and age predicted atrial conduit function. In contrast, multiple clinical co-factors had no significant influence on εe (Table). Interestingly, linear regression models revealed only mild dependency of PTFV1 on conventional parameters of cardiac function such as left ventricular ejection fraction (p = 0.059; R²(adj.)=0.047), and no dependency on structural parameters such as LA area (p = 0.639; R²(adj.)=0.016), or LA fractional area change (p = 0.825; R²(adj.)=0.020). Conclusion Abnormal PTFV1 was associated with reduced LA function independent from numerous clinical co-factors in patients presenting with acute myocardial infarction. Table N = 56 Linear Regression Analysis Multiple Linear Regression Analysis (R2 (adj.)=0.376, p = 0.016) Variable B 95% CI P value R2 (adj.) B 95% CI P value PTFV1 [µV*ms] -1.628 17085.298 to 27210.854 0.013 0.092 -1.315 -2.614 to -0.016 0.047 Age [y] -425.775 24985.168 to 54634.995 0.002 0.145 -610.815 -982.78 to -238.849 0.001 Body mass indes [kg/m2] -185.653 -3259.187 to 47020.775 0.671 -0.015 -506.096 -1327.357 to 315.165 0.219 Creatinine kinase [U/l] -1.571 14806.991 to 24842.272 0.121 0.027 -1.791 -3.72 to 0.138 0.067 Male sex -893.28 10701.206 to 23504.066 0.802 -0.017 4275.631 -3842.517 to 12393.78 0.292 Estimated glomerular filtration rate [ml/min/1.73m2] 88.617 -4564.177 to 21395.361 0.202 0.012 -163.981 -331.343 to 3.381 0.054 Systolic blood pressure [mmHg] -2.001 14045.786 to 22037.253 0.095 0.038 29.331 -108.243 to 166.906 0.668 nt-pro brain natriuretic peptide [pg/ml] 24.629 -4060.804 to 30920.828 0.716 -0.016 1.015 -1.778 to 3.809 0.466 Univariate and multivariate linear regression models for left atrial conduit strain Abstract Figure

scholarly journals HUBUNGAN KARAKTERISTIK MASYARAKAT DENGAN KEJADIAN COVID 19 DI DESA PAYUNG KECAMATAN WELERI

2021 ◽  
pp. 1-16
Author(s):  
Sri Hesthi Sonyorini ◽  
Sulastri Sulastri
Keyword(s):  
Large Scale ◽  
Virus Disease ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
P Value ◽  
Community Characteristics ◽  
Chi Square ◽  
Gender Education ◽  
The Government ◽  
The Relationship

At this time there is a health problem that is in the spotlight and attention of the world, namely the Covid-19 disease. This disease is caused by a virus called Corona Virus Disease – 19 or more popularly known as Covid-19. In response to this, the government has issued a policy or regulation to prevent the increase in the number of cases, namely in the form of a health protocol for handling Covid-19. The government has issued health protocols for handling Covid-19, including health protocols, borders, communications, education areas, and public and transportation areas, including policies in the form of implementing Large-Scale Social Restrictions (PSBB) in several areas in Indonesia. This study aims to determine the relationship between community         characteristics and the incidence of covid 19 in Payung Village, Weleri District.              Research design is descriptive correlation with sampling technique using simple random sampling with a sample of 58 respondents. Statistical analysis using chi square. From the results of the study, it was found that there was a relationship between age, gender, education and occupation with the incidence of Covid-19 in Payung Village, Weleri District with a p value <0.05.

scholarly journals Human capital and its influence on the e-readiness of the company: an empirical case

2021 ◽  
Vol 9 (1) ◽  
pp. 79-107
Author(s):  
Martha Ríos-Manríquez
Keyword(s):  
Human Capital ◽  
Technological Innovation ◽  
Least Squares Method ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Ordinary Least Squares ◽  
Small Enterprises ◽  
Relevant Variables ◽  
Quantitative Descriptive ◽  
Medium Enterprises

Objective of the study: This article has two objectives, first to analyze how is the degree of e-Readiness on micro, small and medium enterprises (eRLMSMEs) of the state of Guanajuato, in Mexico, influenced by the technological preparation of human capital, ICT accessibility, the empowerment granted to human capital, the size and sector. The second objective is to analyze, by size and sector, which are the most relevant variables considered by the owners or managers in their e-Readiness (ER).Methodology/approach: With a sample of 182 MSMEs, a quantitative, descriptive, correlational, discriminant and linear regression analysis was performed, using the Ordinary Least Squares Method (OLS).Originality/Relevance: The study is relevant because it addresses the influence of human capital empowerment, e-Readiness and access to ICTs by companies in the ER of MSMEs, deepening the analysis by sector, industry, trade and services, and by size of micro, small and medium enterprises.Main results: It was determined that all the independent variables are relevant to explain eRLMSMEs. By size, the Human Capital e-Readiness, ICT Accessibility, and Human Capital Empowerment variables are significant only for small enterprises, whereas ER of human capital substantially influences industries, commercial and service companies.Theoretical/methodological contributions: This research goes deeper into the variables that influence the degree of e-Readiness on MSMEs in Mexico, considering the influence of the size and sector in their technological preparation.Social/management contributions: The ICT are considered a necessary technological innovation for the development of MSMEs, as well as the other variables dealt with in this research, which promote changes in the context of the adoption of technological innovation.

scholarly journals MACROECONOMIC VARIABLES AND VOLUME OF TRANSACTIONS ON TEHRAN STOCK EXCHANGE

2021 ◽  
Vol 33 (2) ◽  
pp. 163-173
Author(s):  
Farzaneh Haghighat Nia ◽  
Naser Shams Gharneh
Keyword(s):  
Exchange Rate ◽  
Least Squares ◽  
Analytical Method ◽  
Inflation Rate ◽  
Least Squares Method ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Macroeconomic Variables ◽  
The Relationship ◽  
Ordinary Least Squares Method

This paper examines the relationship between the volume of transactions and macroeconomic variables on the Tehran Stock Exchange. We are collect data for variables such as liquidity, inflation, exchange rate, the total value of imports and GDP for ten years period of 2009-2019. For analysis of data, have been used regression analytical method and ordinary least squares method (OLS) model. The results indicate that there are relationships between the macroeconomic variables of liquidity, inflation rate, and GDP with the volume of transactions. Therefore, the relationship between the volume of transactions with liquidity and GDP is positive and significant and with inflation is negative.

THE RELATION SHIP BETWEEN PROFITA BILITY AND FINANCIAL LIQUIDITY IN FOOD MANUFACT URING INDUSTRY IN POLAND

2018 ◽  
Vol XX (1) ◽  
pp. 58-63 ◽  
Author(s):  
Jacek Jaworski ◽  
Leszek Czerwonka ◽  
Magdalena Mądra-Sawicka
Keyword(s):  
Least Squares Method ◽  
Manufacturing Sector ◽  
Test Sample ◽  
Ordinary Least Squares ◽  
Positive Dependence ◽  
Food Manufacturing ◽  
Financial Liquidity ◽  
The Relationship ◽  
Ordinary Least Squares Method ◽  
A Current

The aim of the research was to recognize the relationship between profitability and financial liquidity of enterprises representing the food manufacturing sector. The research sample covers 1046 enterprises that report the financial data in 2012-2015. The ordinary least squares method was used for identification of the relationship. Statistically significant relationship for the entire test sample was not detected. Positive dependence was found for the sample of enterprises with a current liquidity ratio (CR) lower than 2.0.

Organizational capital, intellectual capital and cost stickiness (evidence from Iran)

2017 ◽  
Vol 18 (3) ◽  
pp. 625-642 ◽  
Author(s):  
Ali Mohammadi ◽  
Parastoo Taherkhani
Keyword(s):  
Intellectual Capital ◽  
Least Squares Method ◽  
Ordinary Least Squares ◽  
Low Rank ◽  
Organizational Capital ◽  
Content Type ◽  
Structural Capital ◽  
Significant Difference ◽  
The Relationship ◽  
Cost Stickiness

Purpose The purpose of this paper is to identify the relationship between organizational capital and the subsets of organizational capital (intellectual capital (IC)) cost and cost stickiness. Design/methodology/approach This study is causal correlational research. The data related to the company’s financial statements were collected using the Rahavard Novin Software and www.rdis.ir. In this study, panel data were run with the use of Eviews 8, in order to test the hypotheses. The ordinary least-squares method is used in this study to estimate the parameters of the model. Findings The results obtained from the study show that there is a significant relationship between organizational capital and cost stickiness. However, there is no significant difference between high and low rank in terms of organizational capital and cost stickiness. In addition, there is a significant difference between IC and cost stickiness. Moreover, there is no significant difference between the components of IC and cost stickiness. Also, IC has an effect on the intensity of the relationship between organizational capital and cost stickiness. Originality/value This study explores the relationship between organizational capital and the subsets of IC and cost stickiness. Independent variables used in this study include organizational capital, IC and its components in the Pulic model, i.e. the efficiency of capital employed, the efficiency of human capital and the efficiency of structural capital.

Geographical aggregation and incubator graduation performance: the role of incubator assistance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bojun Hou ◽  
Jin Hong ◽  
Yang Yang
Keyword(s):  
Positive Relationship ◽  
Technical Assistance ◽  
Least Squares Method ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Multiple Observations ◽  
Start Ups ◽  
The Relationship ◽  
Ordinary Least Squares Method

PurposeThis paper attempts to use agglomeration theory and ecological theory to explore how geographic agglomeration affects the graduation performance of incubator community. The authors argue that increasing the incubator community density can improve the opportunities for mutualism and learning among incubators. However, as the competition intensifies, the above positive relationship will weaken when the incubator density exceeds a certain level.Design/methodology/approachThe authors use a unique panel dataset of 438 National Technology Business Incubators (NTBIs) in China spanning from 2008 to 2012. Since each NTBIs contains multiple observations for different years, these observations that belong to a cross-section are not completely independent of each other; therefore, the regression using ordinary least squares method underestimates the standard deviations of the variables. To solve this problem, the authors regress this cluster panel data using the Newey–West robust variance estimator.FindingsThe empirical results show that incubator community density is conducive to promoting incubation performance, while the positive relationship between the incubator community density and incubation performance gradually weakens as the population density of incubators surpasses a certain level. Further, the authors examine how incubator assistance (technical assistance and business assistance) moderates the relationship between incubator density and incubation performance. The results indicate that this positive relationship is stronger when more business assistance is provided by incubator managers, while the moderating role of technical assistance is not supported.Originality/valueThis paper enriches the research on the relationship between incubator community density and graduation performance from the perspective of incubator assistance which helps start-ups to understand, absorb and transform external knowledge and resources, thereby promoting their growth.

scholarly journals The Role of Family Support in the Recovery of Corona Virus Disease-19 Patients

2021 ◽  
Vol 9 (E) ◽  
pp. 1005-1009
Author(s):  
Diadjeng Setya Wardani ◽  
Syamsul Arifin
Keyword(s):  
Family Support ◽  
Emotional Support ◽  
Virus Disease ◽  
Prevalence Ratio ◽  
P Value ◽  
Instrumental Support ◽  
Informational Support ◽  
Appraisal Support ◽  
The Relationship

BACKGROUND: Families have an important role in prevention for patients who are positive for coronavirus diseases (COVID)-19 with mild symptoms and without symptoms to recover. Support such as providing positive information, moral reinforcement, and special time given by the family is thought to strengthen mental health and can increase the immunity of the patient. AIM: The purpose of this study was to determine the role of family support in the recovery of COVID-19 patients. METHODS: Used was observational analytic with a cross-sectional approach. The subjects were 30 people who had family members diagnosed with COVID-19 and lived in one house and 30 patients recovered from COVID-19 in the islands of Java and Kalimantan. Data analysis used Fisher’s exact test and calculated the prevalence ratio to determine the most dominant role. RESULTS: The results showed that the p-value of the relationship between family support and the recovery of COVID-19 patients was 0.023, and the p-value of the relationship between components and the recovery of COVID-19 patients was emotional support (0.048), appreciation or appraisal support (0.007), informational support (0.023), and instrumental support (0.034). The prevalence ratio for each of these components was emotional support (PR = 0.714), followed by instrumental support (0.667), informational support (0.600), and appreciation or appraisal support (PR = 0.333). CONCLUSIONS: There is a significant role between family supports in the recovery of COVID-19 patients. Emotional support is the strongest component that plays a role in recovery of COVID-19 patients.

scholarly journals PENGETAHUAN BERHUBUNGAN DENGAN STIGMA PADA ORANG TERKONFIRMASI POSITIP CORONA VIRUS DISEASE -19

2021 ◽  
Vol 3 (2) ◽  
pp. 147-158
Author(s):  
Ni Kadek Muliawati ◽  
Ni Luh Putu Dewi Puspawati ◽  
Ni Kadek Kembar Dani Sintaningsih
Keyword(s):  
Quantitative Research ◽  
Virus Disease ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Bivariate Analysis ◽  
P Value ◽  
Corona Virus ◽  
Health Promotion Programs ◽  
Level Of Knowledge ◽  
The Relationship

People who are confirmed to have Corona Virus Disease 19 (covid 19) in the community cause a stigma that can lead to discrimination. This study was conducted to determine the relationship between knowledge and stigma in people who were confirmed to be positive for corona virus disease -19 in Banjar Tegal, Bebalang Village, Bangli, Bali Province. Descriptive correlation is a type of research used with a quantitative research design. The sample is 89 people with simple random sampling technique. The instrument uses a questionnaire which is distributed online via google form. Data collection using google form with 10 questions related to knowledge and 30 questions related to stigma. Data analysis using Spearman rank with the result that the majority of knowledge in the sufficient category is 65 people (73.0%), most of the stigma is in the moderate category, namely 54 people (60.7%). Bivariate analysis obtained p value of 0.000 and r value of -0.548. There is a relationship between knowledge and stigma in people who are confirmed to be positive for corona virus disease -19 in Banjar Tegal, Bebalang Village, Bangli, Bali Province. The better the level of knowledge, the lower the stigma against people who are confirmed positive for COVID-19. The results of the study can be used as a reference for implementing health promotion programs to reduce stigma in people who are confirmed positive for the corona virus disease -19.

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