scholarly journals Can climate help fighting COVID-19 trauma? A case study of Maricopa County, Arizona, USA

2021 ◽  
pp. 105-116
Keyword(s):  
Linear Regression ◽  
Solar Radiation ◽  
The Other ◽  
Climatic Parameters ◽  
Factors Affecting ◽  
Regression Test ◽  
Spearman Correlation Test ◽  
Maximum Minimum

Introduction: Since the emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, the disease has spread rapidly throughout the world and became a traumatic stressor. Identification of the factors affecting the spread of the disease makes it possible to prevent its further propagation and save more people in similar situations. Environmental and climatic parameters are among the factors affecting the prevalence of diseases. Determination of environmental effects on Coronavirus disease (COVID-19) prevalence can help develop policies to suppress the spread. Methods: This study investigated the effect of climatic parameters on the spread of COVID-19 disease in County Maricopa from March 11, 2020, to November 30, 2020. These parameters include maximum, minimum, and mean daily temperature as well as maximum, minimum, and mean daily humidity, wind speed, solar radiation, and Air Quality Index (AQI) of particulate matter10 (PM10), PM2.5, and O3. A Shapiro-Wilk test was used to evaluate the normality of variables and the Spearman correlation test was used to determine the correlation between parameters and daily COVID-19 cases. A simple linear regression was applied on parameters that had significant Spearman’sranked correlation with the daily COVID-19 cases to determine their contribution to the pandemic. Results: The present study showed that the maximum, minimum, and mean temperature parameters and PM10 and PM2.5 particles had a positive and significant correlation (P<0.01) with the prevalence of COVID-19 disease. The effect of PM10 particles was higher than the other parameters (0.488, P<0.01). The parameters of maximum, minimum, and mean relative humidity along with solar radiation and O3 AQI had a significant and negative correlation with the development of COVID-19 disease (P<0.01). The effect of maximum humidity was higher than that of the other parameters (-0.364, P<0.01). A linear regression test showed that O3 (β=-15.16, P<0.001) and Tmean (β=18.47, P<0.01) significantly predicted daily COVID-19 cases. Conclusion: It can be concluded that climatic parameters can affect the COVID-19 pandemic and should be addressed.

scholarly journals PENGARUH PERAN KELOMPOK TANI TERHADAP KOHESIVITAS DI KELOMPOK TANI TRANGGULASI DESA BATUR, KECAMATAN GETASAN, KABUPATEN SEMARANG

2020 ◽  
Vol 14 (1) ◽  
pp. 28
Author(s):  
Eunice Gabriella ◽  
Sriroso Satmoko ◽  
Dyah Mardiningsih
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Farming System ◽  
The Other ◽  
Survey Method ◽  
Regression Test ◽  
Organic Vegetables ◽  
Vegetable Farming ◽  
Farmer Groups

The advanced farmer group that have many members, did not guarantee that the members of the group has intemacy value. Closed relation farmer members group would be shown by the strength of the farmer group role. The research aim was to identify the farmer groups role and the cohesiveness of organic vegetable farming system. The other research aim was to analyze the role of farmers groups influence on the cohesiveness of Tranggulasi organic vegetables farming system. The research was conducted at Tranggulasi farmer group, Desa Batur on 12-29 Mey 2018. Survey method was used and samples were conducted with 32 people of active members in farmer gtoup. The results showed that the farmer groups roles as learning class was in good category with percentage 53%, coorperation action was 63%, and unit of production was 69%. The cohesiveness of organic vegetable farming was good category with percentage 81%. Multiple linear regression test showed that the learning class, cooperation action, and unit of production, has significant effect on the cohesiveness of organic vegetable farming.

Alternative Method for the Determination of a Full S-N Fatigue Profile

2016 ◽  
Vol 250 ◽  
pp. 209-216 ◽  
Author(s):  
Przemysław Strzelecki ◽  
Janusz Sempruch ◽  
Tomasz Tomaszewski
Keyword(s):  
Fatigue Life ◽  
Linear Regression ◽  
Fatigue Limit ◽  
Fatigue Curve ◽  
The Other ◽  
Staircase Method ◽  
Alternative Method ◽  
Random Fatigue

This paper presents two methods for estimating the S-N fatigue curve. The first is the traditional linear regression and staircase method. The other, alternative, method is based on random fatigue life, fatigue limit and probability. The both methods provide similar results but the latter one requires fewer test samples

Proper determination of the δ18O–δD relationship for ice and water by least-squares cubic regression

1993 ◽  
Vol 30 (1) ◽  
pp. 109-112 ◽  
Author(s):  
C. R. Burn ◽  
M. G. Maxwell
Keyword(s):  
Mass Spectrometry ◽  
Functional Analysis ◽  
Linear Regression ◽  
Least Squares ◽  
Experimental Error ◽  
Regression Line ◽  
The Other ◽  
Analytical Error ◽  
Isotope Concentration

The δ18O–δD relationship for ice and water is frequently summarized with a line fitted by least-squares linear regression. This technique assumes that one variable is known exactly and all error can be ascribed to the other. Unfortunately, determinations by mass spectrometry of both δ18O and δD are subject to experimental error. Often a blanket laboratory precision is provided for δ18O and δD, in which case functional analysis, accounting for the relative error in the variables, is appropriate. Properly, however, each sample has an individual analytical error in both variables, defined by the variance in estimates of isotope concentration provided by the mass spectrometer. Where individual errors are known, the least-squares cubic method, which assigns a weight to each sample and generates the summary line by an iterative method, may be used. An algorithm sufficient to determine both the functional fit and the least-squares cubic regression line is presented. Illustrations are provided, one of which demonstrates that if the plot of δ18O versus δD is scattered (r2 < 0.9), both the functional fit and the least-squares cubic regression line may be significantly different from the least-squares linear regression lines.

scholarly journals Factors Influencing Tourist Visit in North Sulawesi, Indonesia

2021 ◽  
Vol 16 (4) ◽  
pp. 759-764
Author(s):  
Lisbeth Mananeke ◽  
Rizan Machmud
Keyword(s):  
High School ◽  
Data Analysis ◽  
Linear Regression ◽  
Research Method ◽  
The Other ◽  
Level Of Education ◽  
North Sulawesi ◽  
Factors Influencing ◽  
Regression Test ◽  
Tourism Destinations

This study aims to determine the factors that influence the level of tourism visit on several tourism destinations in North Sulawesi Province. The research method used in this research is quantitative. Population in this study is people or tourist that visited any tourism attraction in North Sulawesi Province. The sample size of 100 respondents is the visitors of the tourism attraction in North Sulawesi Province. Data analysis using linear regression test using SPSS. The results showed that the characteristics of the respondents were generally male, namely 55%, the level of education, namely Senior High School with 68%, The respondents in age between 21-30 years old are 70 respondents or contributed 70%. Attraction factors, price, promotion, and security are significantly influence on tourist visit, and on the other hand, place doesn’t have a significant influence because place is closely related to the mileage. The result of this research can be a reference for Tourism Department of North Sulawesi considering the Promotion (X4) as the strongest variable that can improve the tourist visit level in North Sulawesi Province.

scholarly journals Automatic determination of the dual system width of to a bivalent system

2018 ◽  
Vol XIX (1) ◽  
pp. 58-64
Author(s):  
Vasiliu Paul
Keyword(s):  
Dual System ◽  
The Other ◽  
Automatic Determination ◽  
Stable States ◽  
System A ◽  
Minimum Number

A system is a set of elements that can be found in one of the following states: operating state and fault. Any system has two stable states: functioning and defect, which is why, in the theory of reliability, it is called a bivalent system. A subset of defective elements is called the system cut if all the other elements of the system are in operation and the system is defective. The width of a bivalent system is equal to the minimum number of elements the system cuts have. In this paper is presented an algorithm for automatic determination of the dual system width to a bivalent system, a Matlab script that implements the algorithm, a case study and subsequent directions of development.

scholarly journals Understanding Teachers’ Integration of Moodle in EFL Classrooms: A Case Study

2019 ◽  
Vol 12 (4) ◽  
pp. 1
Author(s):  
Yasir Al Yafaei ◽  
Rais Attamimi
Keyword(s):  
Teaching And Learning ◽  
English Language ◽  
Case Study Research ◽  
Learning Processes ◽  
The Other ◽  
Factors Affecting ◽  
College Of Technology ◽  
Interpretive Approach ◽  
Working Mechanisms

The study explores the integration and implementation of the Moodle platform at the English Language Center of the Salalah College of Technology. To achieve this purpose, a qualitative, interpretive approach with a case study research design was used to collect the data and to deepen our understanding of the phenomena and how it was constructed in social reality of the school.Two teachers have been chosen to be the interviewees, to give their opinions and views on the topic under study, and the factors affecting both the implementation and integration of the Moodle programme. It was evident from the narratives of the two interviewees that the integration of Moodle was successful, and that it has proven to be a useful tool in the teaching and learning processes of English. In spite of some existing factors that may hinder the working mechanisms of the implementation and integration of Moodle, it may be concluded that this platform could be recommended to be extended to the other skills of the English language that it currently does not support. Following this process will inevitably improve the comprehension and production of the English language and related materials, online and real, respectively.

Variant-centered variation and the like conspiracy

2016 ◽  
Vol 16 (2) ◽  
pp. 221-246 ◽  
Author(s):  
Aaron J. Dinkin
Keyword(s):  
The Other ◽  
Top Down ◽  
Factors Affecting ◽  
Distinct Variable ◽  
Functional Variant ◽  
Full Picture ◽  
Multiple Variables ◽  
Object Of Study ◽  
S Model

The conventional methodology of variationist linguistics foregrounds the variable as the object of study: each variant is situated in the envelope of variation against the other variants it competes with. This paper argues that it is necessary to look beyond the context of the alternations a variant participates in in order to get a full picture of the factors affecting variation. The multi-functional variant like is used as a case study to illustrate the value of a variant-centered analysis: the fact that several distinct variables are all simultaneously changing toward the variant like suggests that a variant can be targeted for change across multiple variables, parallelling Campbell-Kibler (2011)’s model of the variant as the carrier of sociolinguistic meaning. It is conjectured that the set of changes toward like can be explained as a top-down discursive change targeting like as an indicator of vague literality, a function it retains in multiple distinct variable contexts.

Much Ado about Handwriting: Countersigning with the Other Hand in Stevenson’s The Strange Case of Dr. Jekyll and Mr. Hyde

2006 ◽  
Author(s):  
Jodey Castricano
Keyword(s):  
Structural Model ◽  
The Other ◽  
Multiple Personality Disorder ◽  
The Novel ◽  
Borderline Personality Disorders ◽  
Double Binds ◽  
Other Hand ◽  
Insight Into

Abstract Robert Louis Stevenson’s The Strange Case of Dr. Jekyll and Mr. Hyde has been seen as the nineteenth century prototype of the workings of the criminal mind. Similarly, current psychoanalytic readings of the novel suggest that it serves as a precursor to Freud’s theories on the structural model of personality, and repression and that Dr. Jekyll and Mr. Hyde can provide insight into the psychology of addiction, multiple personality disorder and borderline personality disorders, as these terms have currency in the discipline of modern psychology. Indeed, Stevenson’s novel can even be seen as a precursor to the very genre of Freud’s “case” study. In fact, current readings of Dr. Jekyll and Mr. Hyde continue to focus on its case study aspects, claiming that the novel shows “the composition and operation of the criminal mind” (Thomas qtd in Rosner, Spring 29). “Much Ado About Handwriting: Countersigning with the Other Hand in The Strange Case of Dr. Jekyll and Mr. Hyde is concerned with making a Gothic case “the composition and operation of the criminal mind,” but not because the word “composition” denotes a mental constitution that merely pre-exists the text or that the text refers to or represents a substantive criminal mind; instead the word suggests that there exists a displaced link between writing, reading, interpretation, and criminality as the shadowy “place” where the “other” begins and collusion enters the scene. Taking as a premise Jacques Derrida’s contention that “it is the ear of the other that signs,” this paper is concerned with “composition,” signatures and encryption as a way of exploring how these texts pose insoluble psychic double binds regarding the determination of criminality.

scholarly journals Analysis of the Rice Yield under an Agrivoltaic System: A Case Study in Japan

Environments ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 65
Author(s):  
Ruth Anne Gonocruz ◽  
Ren Nakamura ◽  
Kota Yoshino ◽  
Masaru Homma ◽  
Tetsuya Doi ◽  
...  
Keyword(s):  
Land Use ◽  
Solar Radiation ◽  
Rice Yield ◽  
Fertilizer Application ◽  
Agricultural Crops ◽  
Factors Affecting ◽  
Photovoltaic Panels ◽  
System A ◽  
Upper Limit

Agrivoltaic systems, comprising photovoltaic panels placed over agricultural crops, have recently gained increasing attention. Emerging interest in these systems led us to investigate their influence on rice crops. Various factors affecting rice crop yield, including fertilizer application, temperature, and solar radiation, were directly observed, and measured to evaluate changes associated with the shading rates of photovoltaic systems installed above rice crops. The results suggest that the allowable upper limit of the shading rate for agrivoltaic installations ranges from 27 to 39%, which sustains at least 80% of the rice yield, a condition set by the Japanese Ministry of Agriculture, Forestry and Fisheries for these systems. If such systems are applied to rice paddies in Japan at 28% density, they could generate 284 million MWh/yr. This is equivalent to approximately 29% of the total Japanese electricity demand, based on 2018 calculations. This projection indicates the potential of agrivoltaic systems for efficient land use and sustainable energy generation.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PENURUNAN POPULASI TERNAK KAMBING PERANAKAN ETAWA (Studi Kasus pada Kelompok Ternak Sukapala Kecamatan Kawalu Kota Tasikmalaya)

2021 ◽  
Vol 7 (1) ◽  
pp. 245
Author(s):  
Ane Novianty ◽  
Benizar M. Andrie
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Population Based ◽  
Production Factor ◽  
Case Study Method ◽  
Independent Variables ◽  
Maintenance System ◽  
Regression Test ◽  
Negative Effect

Etawa breeders are faced with a situation with a limited amount of capital, production factor and knowledge in an effort to achieve their goal. This condition causes the decline of PE goat’s population year by year even though the product produced has a strategic opportunity in the market. The purpose of this study is to determine the factors that influence the decline of PE goat’s population in Sukapala herd. The study is carried out in Sukapala herd, Kawalu district, Tasikmalaya city  which consists of 9 people by using a case study method. The factors that influence the decline of PE goat’s population based on multiple linear regression test are capital (X1), treatment and maintenance system (X2), seed’s quality (X3), and livestock breeds quality (X4). Based on the results of partially and simultaneously test, the four independent variables influence significantly in the decline of PE goat’s population and have a negative effect.

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