Malaysian and Italian trend line for Covid-19: A study on trend analysis

The first objective of this study was to evaluate trend line pattern, obtain the appropriate statistical equation model, and predict individual numbers infected by Covid-19. The second objective is to obtain a predictive equation model and forecast death rate for Malaysia and Italy. Malaysia's first positive case Covid-19 recorded January 24, 2020, consisting of three cases. Collected from January 24 to March 29, 2020. Sixty-six day-observations, based on their trend line pattern, earned special attention. Although the first positive case was identified on January 31, 2020, involving two patients. From January 31 to March 29, 2020, approximately 59 observations were collected from Italy. On 18 March 2020, the pattern will contrast with the Malaysian Movement Control Order (MCO). Malaysia and Italy collect death figures. A similar methodology will be applied to find the best-fitted model that fits both countries' death-number scenario. In Italy, the number of Covid-19-infected patients rises and meets quadratic trend line patterns. This induces extreme public distress and diversion. The quadratic trend line series analysed individual Covid-19-infected results. After March 18, 2020, it will continue to use a linear pattern. However, trend deaths also follow quadratic trend line pattern. Trend-line quadratic matched Italy's results. The quadratic line-of-trend model projection demonstrated dominance in estimating infected Covid-19. The quadratic death line from daily death collection data also showed superiority in estimating death number. The fitted quadratic model is better fitted in the Malaysian case, but the pattern shifts to linear trend line after MCO is implemented.

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KEPUASAN KERJA SEBAGAI KUNCI OPTIMALISASI KINERJA PEGAWAI PADA DINAS KEHUTANAN SULAWESI TENGAH

Wahana ◽

10.35591/wahana.v22i1.147 ◽

2019 ◽

Vol 22 (1) ◽

pp. 28-40

Author(s):

Harries Madiistriyatno ◽

Nahardi Nahardi ◽

Ida Musdafia Ibrahim

Keyword(s):

Job Satisfaction ◽

Career Development ◽

Structural Equation ◽

Research Method ◽

Employee Performance ◽

Equation Model ◽

Service Work ◽

Collection Data ◽

Work Units ◽

Central Sulawesi

Job satisfaction is one of the keys to accomplish optimal performance. Therefore, conditioning the organization to create job satisfaction is very important. This study aims to prove that the optimization of employee performance can be achieved especially if the job satisfaction has been realized, using career development, competence, and compensation as indicators. This research method was descriptive-verification with the collection data using survey that sampling uses saturated sampling and analyzed using the Structural Equation Model. The object research was employees of the Regional Forestry Service work units of Central Sulawesi Province. The results proved that the job satisfaction was a very important factor in mediating (full mediating variables) the variables of career development, competence, and compensation in improving employee performance, which is indicated by a positive and significant effect. Furthermore, it was proven that the biggest contribution affecting employee performance was the variable job satisfaction, with career development contributes to the highest influence on job satisfaction, followed by competence, and compensation. Keywords: Job satisfaction, career development, competence, compensation, and employee’s performance.

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Structural trend line pattern and strain partitioning around the Gibraltar Arc accretionary wedge: Insights as to the mode of orogenic arc building

Tectonics ◽

10.1029/2005tc001932 ◽

2007 ◽

Vol 26 (2) ◽

pp. n/a-n/a ◽

Cited By ~ 49

Author(s):

J. C. Balanyá ◽

A. Crespo-Blanc ◽

M. Díaz Azpiroz ◽

I. Expósito ◽

M. Luján

Keyword(s):

Accretionary Wedge ◽

Line Pattern ◽

Strain Partitioning ◽

Structural Trend ◽

Trend Line

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The relationship between SPAD chlorophyll and disease severity index in Ganoderma-infected oil palm seedlings

Journal of the Bangladesh Agricultural University ◽

10.3329/jbau.v17i3.43211 ◽

2019 ◽

Vol 17 (3) ◽

pp. 355-358 ◽

Cited By ~ 1

Author(s):

M.R.M. Rakib ◽

A.H. Borhan ◽

A.N. Jawahir

Keyword(s):

Chlorophyll Content ◽

Disease Severity ◽

Oil Palm ◽

Single Photon ◽

Linear Trend ◽

Severity Index ◽

Quadratic Model ◽

Wood Block ◽

Disease Severity Index ◽

The Relationship

Establishment of disease in oil palm seedlings through artificial inoculation of Ganoderma are widely used for studies of various aspects of plant pathology, including epidemiology, etiology, disease resistance, host-parasite interaction and disease control. The estimation of chlorophyll content in the infected seedlings possibly could provide a good indicator for degree of disease or infection, and changes during pathogenesis. Thus, the objective of this study was to evaluate the relationship between disease severity index (DSI) and chlorophyll content in Ganoderma infected oil palm seedlings. Three-month-old oil palm seedlings were infected with Ganoderma inoculum on rubber wood block (RWB), where 44 isolates of Ganoderma were tested. Disease severity index (DSI) and chlorophyll content using a single-photon avalanche diode (SPAD) meter were recorded at 4 weeks interval for a period of 24 weeks after inoculation (WAI). Pearson's correlation analysis and regression analysis were performed to evaluate the relationship between the variables. It was found that the relationship between DSI and SPAD chlorophyll value was inversely proportional (R = -0.92) in a linear trend (R2 = 0.85). Furthermore, the increasing trend of the DSI across the weeks were fitted in a quadratic model (R2 = 0.99). In contrast, the SPAD chlorophyll value declined in a linear trend (R2 = 0.98). The SPAD chlorophyll value could be considered as a better alternative over the DSI as the SPAD chlorophyll value was strongly related to DSI, as well as able to detect physiological changes in the infected oil palm seedlings at the early stages of pathogenesis. J Bangladesh Agril Univ 17(3): 355–358, 2019

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Fig. 8. Trajectories in neighborhood greenness (relative to city means) are fitted with linear trend line (solid lines) and generalized additive model lines (dashed) for each race category (A). The distribution of regression line slopes (i.e. slope of linear trend line in A) per census tract are displayed using a violin plot with data medians and interquartile ranges plotted with dots and horizontal bars (B).

10.21504/rur.14413709 ◽

2021 ◽

Author(s):

Zander S Venter ◽

Charlie M. Shackleton ◽

Francini Van Staden ◽

Odirile Sebogoe ◽

Vanessa A Masterson

Keyword(s):

South Africa ◽

Low Income ◽

Green Infrastructure ◽

Linear Trend ◽

Regression Line ◽

Additive Model ◽

Racial Groups ◽

Public And Private ◽

Trend Line ◽

Urban South

<p>Urban green infrastructure provides ecosystem services that are essential to human wellbeing. A dearth of national-scale assessments in the Global South has precluded the ability to explore how political regimes, such as the forced racial segregation in South Africa during and after Apartheid, have influenced the extent of and access to green infrastructure over time. We investigate whether there are disparities in green infrastructure distributions across race and income geographies in urban South Africa. Using open-source satellite imagery and geographic information, along with national census statistics, we find that public and private green infrastructure is more abundant, accessible, greener and more treed in high-income relative to low-income areas, and in areas where previously advantaged racial groups (i.e. White citizens) reside.</p>

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BENTUK PENYAJIAN SILEK KAPAK SEBAGAI BUDAYA TRADISI MASYARAKAT DI KANAGARIAN PADANG LAWEH KECAMATAN KOTO TUJUAH KABUPATEN SIJUNJUNG

Jurnal Sendratasik ◽

10.24036/jsu.v9i2.110537 ◽

2020 ◽

Vol 10 (1) ◽

pp. 148

Author(s):

Chelina Dewi ◽

Indrayuda Indrayuda

Keyword(s):

Data Collection ◽

Secondary Data ◽

Primary Data ◽

Cultural Tradition ◽

Horizontal Line ◽

Line Pattern ◽

Data Presentation ◽

Straight Line ◽

Collection Data ◽

Analyze Data

The research aims to reveal, describe and analyze about the Form of Presentation of Silek Axe as a Culture of Community Tradition in Kanagarian Padang Laweh District Koto Tujuah Sijunjung Regency. This type of research is qualitative research with descriptive methods of analysis. The data type uses primary data and secondary data. The main instruments are the researchers themselves and are assisted with supporting instruments such as stationery and cameras. Data collection techniques are conducted by way of literature, observation, interview and documentation. The steps to analyze data are data collection, data reduction, data presentation, and conclusion drawing. The results of this study show that Silek Kapak is a tradition of Padang Laweh people. Silek Axe was performed by 2 players, which was displayed in the courtyard of Rumah Gadang during the day. The form of presentation of Silek Axe in Kanagarian Padang Laweh Sub-District Koto Tujuah Sijunjung Regency is representative. Elements of Silek Axe Presentation Form as follows: (1) opening greeting motion, amuak kapalo, amuak dado, pata tobu, klotiak and closing greetings. (2) Silek Axe floor pattern uses a straight line pattern or horizontal line. (3) Silek Axe's accompanying music consists of: talempong, drums, gongs. (4) the costume used by the player in Silek Axe taluak balango in black, black pants, asamping and deta. (5) In addition, Silek Axe uses the Original Axe property as supporting silek axe show.Keywords: Form of Presentation, Silek Axe, Cultural Tradition

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KEPUASAN KERJA SEBAGAI KUNCI OPTIMALISASI KINERJA PEGAWAI PADA DINAS KEHUTANAN SULAWESI TENGAH

Wahana ◽

10.35591/whn.v22i1.147 ◽

2019 ◽

Vol 22 (1) ◽

pp. 28-40

Author(s):

Harries Madiistriyatno ◽

Nahardi Nahardi ◽

Ida Musdafia Ibrahim

Keyword(s):

Job Satisfaction ◽

Career Development ◽

Structural Equation ◽

Research Method ◽

Employee Performance ◽

Equation Model ◽

Service Work ◽

Collection Data ◽

Work Units ◽

Central Sulawesi

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The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17186839 ◽

2020 ◽

Vol 17 (18) ◽

pp. 6839

Author(s):

Jerónimo García-Fernández ◽

Pablo Gálvez-Ruiz ◽

Moisés Grimaldi-Puyana ◽

Salvador Angosto ◽

Jesús Fernández-Gavira ◽

...

Keyword(s):

Physical Activity ◽

Structural Equation ◽

Equation Model ◽

Ease Of Use ◽

Perceived Usefulness ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Online Questionnaire ◽

Fitness Centers ◽

Collection Data

E-Lifestyles are individual forms of behavior in the digital environment that reflect the values, activities, interests, and opinions of consumers. Likewise, fitness Apps are considered technological tools for promoting physical activity online. Although there are studies related to sports lifestyles, it has not been analyzed yet how e-lifestyles are related to the use of fitness Apps. Based on this, this study represents a step to clarify how e-lifestyles influence different relationships with perceived ease of use, perceived usefulness, attitude, and intentions to use Fitness Apps. Therefore, the objective of the study was to analyze the relationship between the e-lifestyles of consumers of Boutique fitness centers and their relationship with the perceived ease of use, the perceived usefulness, the attitude, and the intention to use Fitness Apps. The sample was 591 customers (378 women and 213 men) of 25 Boutique fitness centers. An online questionnaire was used for data collection. Data was analyzed with confirmatory factor analysis and structural equation model. Findings provide an insight into the importance of e-lifestyles in the intention of using fitness Apps and therefore in promoting physical activity through online fitness services. The results showed positive relationships between e-lifestyles, perceived ease of use, perceived usefulness and attitude toward fitness Apps. Finally, the attitude toward fitness Apps offered a very high predictive value on use intention. This study provides a better understanding of consumer´s intention to use fitness Apps. The conclusions and recommendations for sports managers of fitness centers highlight the importance of e-lifestyles as a predecessor for the use of fitness Apps.

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Estimation of Leaf Area by Linear Dimensions in Coffea dewevrei

International Journal of Plant & Soil Science ◽

10.9734/ijpss/2019/v28i630129 ◽

2019 ◽

pp. 1-8

Author(s):

Omar Schmildt ◽

Enilton Nascimento de Santana ◽

Vinicius de Souza Oliveira ◽

Rafael Ruy Gouvea ◽

Lucas Corrêa Souza ◽

...

Keyword(s):

Leaf Area ◽

Technical Assistance ◽

Absolute Error ◽

Equation Model ◽

Quadratic Model ◽

Linear Dimensions ◽

Independent Variable ◽

Student’S T ◽

Simple Linear Equation ◽

The City

The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2.

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Study the Trend Pattern in COVID-19 using Spline-Based Time Series Model: A Bayesian Paradigm

10.20944/preprints202007.0306.v1 ◽

2020 ◽

Author(s):

Varun Agiwal ◽

Jitendra Kumar ◽

Yau Chun Yip

Keyword(s):

Time Series ◽

Time Trend ◽

Spline Function ◽

Linear Time ◽

Linear Trend ◽

Model Parameters ◽

Linear Pattern ◽

Linear Time Trend ◽

Proposed Model ◽

Non Linear

A vast majority of the countries is under the economic and health crises due to the current epidemic of coronavirus disease 2019 (COVID-19). The present study analyzes the COVID-19 using time series, which is an essential gizmo for knowing the enlargement of infection and its changing behavior, especially the trending model. We have considered an autoregressive model with a non-linear time trend component that approximately converted into the linear trend using the spline function. The spline function split the COVID-19 series into different piecewise segments between respective knots and fitted the linear time trend. First, we obtain the number of knots with its locations in the COVID-19 series and then the estimation of the best-fitted model parameters are determined under Bayesian setup. The results advocate that the proposed model/methodology is a useful procedure to convert the non-linear time trend into a linear pattern of newly coronavirus case for various countries in the pandemic situation of COVID-19.

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RISK OF KNOWLEDGE, SMOKING AND PATIENT'S CONTACT ON TUBERCULOSIS DISEASE IN PUUWATU HEALTH CENTRE IN KENDARI CITY

INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) ◽

10.36566/ijhsrd/vol2.iss1/13 ◽

2020 ◽

Vol 2 (1) ◽

pp. 46-53

Author(s):

La Djabo Buton ◽

Fitri Rachmillah Fadmi

Keyword(s):

Time Series ◽

Linear Trend ◽

Health Centre ◽

Developed Countries ◽

Quadratic Model ◽

Pulmonary Tb ◽

Average Decrease ◽

Series Analysis ◽

Exponential Trend ◽

The City

Background: Tuberculosis is a contagious disease that is still a problem in the world today, not only in developing countries but also in developed countries. Likewise in Kendari City in 2012 - 2017. Efforts that can be made to prevent the increasing number of tuberculosis cases in the future is to make predictions. This study aims to determine the time series analysis in predicting the incidence of tuberculosis by sex and working area of ??health centre in the city of Kendari in 2018-2022. Methods: This type of research is quantitative descriptive with times series analysis design. The source of the research data was obtained from the Kendari City Health Institution, Southeast Sulawesi Province, namely the data on the case of pulmonary TB which included the gender and working area of ??the Health Centre in 2012 - 2017 in the city of Kendari to be processed and analyzed in time series using the trend method approach into 3 models. linear trend, quadratic trend, and an exponential trend. Results: The results showed that the best model for the prediction of pulmonary TB cases in Kendari City was the quadratic model. Cases of tuberculosis by sex are predicted to decrease in the period 2018 to 2022, with an average decline with an average decrease of 79 cases in men and 286 cases in women. Pulmonary TB cases based on the health centre area are predicted to experience an increase in cases from 2018 until 2022 with the highest average increase being in the Kemaraya Health Centre area. While the highest average decrease in cases in the area of ??the Eye Health Center. It is expected to become information for policymakers so that prevention and promotion efforts can be made early to the community. Conclusion: Based on the results of the study, the conclusion of this study is the Science, knowledge about risk and Patient Contact History is a risk factor for tuberculosis in the work area of Puuwatu Health Centre, Kendari City.

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