scholarly journals Analysis of Plant-Production-Obtained Biomass in Function of Sustainable Energy

2020 ◽  
Vol 12 (13) ◽  
pp. 5486
Author(s):  
Siniša Škrbić ◽  
Aleksandar Ašonja ◽  
Radivoj Prodanović ◽  
Vladica Ristić ◽  
Goran Stevanović ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Factor Analysis ◽  
Linear Regression ◽  
Plant Production ◽  
Renewable Source ◽  
Agricultural Biomass ◽  
Low Degree ◽  
Biomass Potential ◽  
Expected Benefits ◽  
Biomass For Energy

This research analyzed the degree of utilization of the agricultural biomass for energy purposes (combustion), in order to indicate the reasons that limit its use. The biomass potential was studied by means of the methodology of the biomass potential, whereas the factors suggesting a low degree of biomass utilization were identified by means of factor analysis. The research results reveal that there is an enormous potential of the unused agricultural biomass. This dissertation research significantly contributes to the establishment of a genuine mathematical model based on multiple linear regression. The solution obtained by this analysis, in both a mathematical and a scientific manner, conveys the primary reasons for an insufficient utilization of the biomass for energy purposes. Moreover, the paper suggests the measures to be applied for a more substantial use of this renewable source of energy and presents the expected benefits to be gained.

POTENTIAL OF AGRICULTURAL BIOMASS FOR ENERGY PRODUCTION PURPOSES IN LUBELSKIE PROVINCE

2017 ◽  
Vol XIX (3) ◽  
pp. 98-103
Author(s):  
Anna Jędrejek ◽  
Zuzanna Jarosz
Keyword(s):  
Thermal Energy ◽  
Energy Production ◽  
Biogas Production ◽  
High Energy ◽  
Plant Production ◽  
Energy Potential ◽  
Agricultural Biomass ◽  
By Products ◽  
Biomass For Energy

The purpose of this paper was to estimate biomass and by-products from plant production (straw, hay, natural fertilizer) in Lubelskie province, as well as demonstrate energy potential possible to obtain from maize as a co-substrate for biogas production. The estimates and related assumptions show that this region has a high energy potential amounting to 26 966.6 TJ/year, which can be gain from biomass and by-products from plant production. The area also possesses significant sources of potential for agricultural biogas production and can provide 195 350.8 dam3/year biogas, which may be converted into thermal energy – 5586.4 TJ/year or electricity – 1241 GWh/year.

scholarly journals Teasing Apart Silvopasture System Components Using Machine Learning for Optimization

Soil Systems ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 41
Author(s):  
Tulsi P. Kharel ◽  
Amanda J. Ashworth ◽  
Phillip R. Owens ◽  
Dirk Philipp ◽  
Andrew L. Thomas ◽  
...  
Keyword(s):  
Machine Learning ◽  
Linear Regression ◽  
Regression Tree ◽  
Plant Production ◽  
System Level ◽  
Learning Approaches ◽  
Nutrient Distribution ◽  
Wetness Index ◽  
Variable Approach ◽  
Animal Grazing

Silvopasture systems combine tree and livestock production to minimize market risk and enhance ecological services. Our objective was to explore and develop a method for identifying driving factors linked to productivity in a silvopastoral system using machine learning. A multi-variable approach was used to detect factors that affect system-level output (i.e., plant production (tree and forage), soil factors, and animal response based on grazing preference). Variables from a three-year (2017–2019) grazing study, including forage, tree, soil, and terrain attribute parameters, were analyzed. Hierarchical variable clustering and random forest model selected 10 important variables for each of four major clusters. A stepwise multiple linear regression and regression tree approach was used to predict cattle grazing hours per animal unit (h ha−1 AU−1) using 40 variables (10 per cluster) selected from 130 total variables. Overall, the variable ranking method selected more weighted variables for systems-level analysis. The regression tree performed better than stepwise linear regression for interpreting factor-level effects on animal grazing preference. Cattle were more likely to graze forage on soils with Cd levels <0.04 mg kg−1 (126% greater grazing hours per AU), soil Cr <0.098 mg kg−1 (108%), and a SAGA wetness index of <2.7 (57%). Cattle also preferred grazing (88%) native grasses compared to orchardgrass (Dactylis glomerata L.). The result shows water flow within the landscape position (wetness index), and associated metals distribution may be used as an indicator of animal grazing preference. Overall, soil nutrient distribution patterns drove grazing response, although animal grazing preference was also influenced by aboveground (forage and tree), soil, and landscape attributes. Machine learning approaches helped explain pasture use and overall drivers of grazing preference in a multifunctional system.

Factors of Dementia Caregiver Burden Differentially Contribute to Desire to Institutionalize

2021 ◽  
pp. 089198872110361
Author(s):  
John T. Martin ◽  
Kimberly R. Chapman ◽  
Christopher Was ◽  
Mary Beth Spitznagel
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Living Arrangements ◽  
Regression Analyses ◽  
Loved One ◽  
Dementia Caregiver ◽  
Future Work ◽  
Made In

The experience of dementia caregiver burden is multidimensional. Little is known about how different aspects of burden contribute to the consideration of moving a loved one to a structured living facility. In the present study, caregiver burden (Zarit Burden Interview; ZBI) and consideration of structured living arrangements (Desire to Institutionalize Scale; DIS) were self-reported by 339 caregivers. Exploratory factor analysis was used to determine the ZBI factor structure; these factors were then examined via hierarchical linear regression for prediction of DIS. Factor analysis indicated a 4-factor ZBI solution: Impact on Life, Guilt, Embarrassment/Frustration, and Escape/Uncertainty. Regression analyses indicated that only Escape/Uncertainty ( p < .001) was associated with DIS. Of the 4 identified factors of caregiver burden, desire to escape the caregiving role was most related to consideration of structured living arrangements. Future work should explore longitudinal contribution of this factor to determine its role in actual changes made in living arrangements.

Methodology of Estimation of Fire Separation Distances between Construction Facilities by Calculation

2020 ◽  
Vol 1006 ◽  
pp. 93-100
Author(s):  
Vadym Nizhnyk ◽  
Yurii Feshchuk ◽  
Volodymyr Borovykov
Keyword(s):  
Mathematical Model ◽  
Heat Flux ◽  
Linear Regression ◽  
Ignition Temperature ◽  
Oil Products ◽  
Regression Equations ◽  
Fire Load ◽  
Literary Sources ◽  
Tabular Method

Based on analysis of appropriate literary sources we established that estimation of fire separation distances was based of two criteria: heat flux and temperature. We proposed to use “ignition temperature of materials” as principal criterion when determining fire separation distances between adjacent construction facilities. Based on the results derived while performing complete factorial we created mathematical model to describe trend of changing fire separation distances depending on caloric power of fire load (Q), openings factor of the external enclosing structures (k) and duration of irradiation (t); moreover, its adequacy was confirmed. Based on linear regression equations we substantiated calculation and tabular method for the determination of fire separation distances for a facility being irradiated which contains combustible or otherwise non-combustible façade and a facility where liquid oil products turn. We developed and proposed general methodology for estimation of fire separation distances between construction facilities by calculation.

KEY FACTORS FOR REDUCING LIVE POULTRY LOSSES DURING TRANSPORTATION

2021 ◽  
Vol 113 ◽  
pp. 115-131
Author(s):  
Valery KURGANOV ◽  
Mikhail GRYAZNOV ◽  
Egor TIMOFEEV ◽  
Liliya POLYAKOVA
Keyword(s):  
Mathematical Model ◽  
Factor Analysis ◽  
Economic Impact ◽  
Processing Plant ◽  
Poultry Farm ◽  
Key Factors ◽  
Live Poultry

The results of this study on the loss of live poultry at various stages of delivery from the farm to the processing plant by road are given. A factor analysis of the reasons for the loss of livestock delivered from the farm to the processing plant was carried out. The dependencies of livestock losses on loading delays and the duration of the movement of the loaded poultry farm to the processing plant were established. Methodological recommendations for rationing the number of injuries observed during delivery were developed. The study of losses of live birds during delivery to the processing plant from the density of stocking in shipping boxes was carried out; the economic and mathematical model for optimizing the landing of live birds in shipping boxes was proposed. The calculation of the economic impact of the implementation of the results of the study is given.

Associations of Demographic Information and Philosophies of Human Nature

2005 ◽  
Vol 97 (2) ◽  
pp. 363-377
Author(s):  
Karen S. Callen ◽  
Shiretta F. Ownbey
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Human Nature ◽  
Employment Status ◽  
Demographic Information ◽  
University Campuses ◽  
Scheffe Test ◽  
Demographic Traits ◽  
Scale Scores ◽  
Strength Of Association

A sample of 1117 students (53% women, 47% men; 50% 18–20 yr. old, 41% 21–23, 9% over 23 years) in classes on two university campuses completed a questionnaire comprised of the Philosophies of Human Nature Scale and demographic items. Factor analysis was conducted on the scale scores. Multiple linear regression was used to examine the strength of association between each factor and the 6 demographic traits. One-way analysis of variance comparing subjects' scale scores for each factor indicated significant association for demographic traits. The Scheffé test was used to identify differences among groups. Sex, age, employment status, year in school, and consistency in practicing faith orientation were associated with factors of the Philosophies of Human Nature Scale.

scholarly journals THE EFFECTS OF PSYCHOLOGICAL CAPITAL, PERSONALITY ON HOTEL STAFF WORKING ENGAGEMENT AT HO CHI MINH CITY

2020 ◽  
Vol 1 (37) ◽  
pp. 12-23
Author(s):  
Giao Khanh Nam Ha ◽  
Anh Diep Tram Huynh ◽  
Ngan Thi Kim Nguyen ◽  
Tung Son Nguyen ◽  
Phuc Pham Hanh Nguyen ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Psychological Capital ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Ho Chi Minh City ◽  
Viet Nam ◽  
Research Outcomes

The research was conducted to determine the effects of psychological capital on the personality on hotel staff working in an engagement setting in Ho Chi Minh City, Viet Nam. Data was collected by surveying 378 staffs who are working in hotels in Ho Chi Minh City which are rated 3 stars or more. Descriptive analysis, exploratory factor analysis, and linear regression analysis were used with SPSS 20 statistical package for data analysis. The results show that all psychological capital factors, including hope, efficacy, resilience and optimism have hadpositive impacts on hotel staffs’ work ethic. The study also demonstrated the effects of personality on the hotel staffs’ engagement with their work. The research outcomes suggest some managerial solutions to management problems by adapting psychological capital data and to take into consideration the personality of staff to enhance employees  working in engagement settings in Ho Chi Minh City.

Factors Affecting Towards Green Purchase Behavior Among Young Consumers in India

2018 ◽  
pp. 183-210
Author(s):  
Nagendra Kumar Sharma ◽  
Gyaneshwar Singh Kushwaha
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Exploratory Factor Analysis ◽  
Linear Regression Analysis ◽  
Measurement Instrument ◽  
Purchase Behavior ◽  
Green Product ◽  
Factors Affecting ◽  
Young Consumers

The objective of the chapter is to examine the factors that are essential for the green purchase behavior among the young consumers in India. The study consists of 343 young respondents, who were surveyed with the help of structured measurement instrument. The sample has been analyzed with the help of exploratory factor analysis and linear regression analysis. It was found in the study that the awareness towards the green product, attitude towards eco-labeling, and satisfaction via green products are significantly and positively linked to the green purchase behavior, whereas the attitude towards green pricing and ecologically concerned consumers are not associated with the green purchase behavior.

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