Combining Life Cycle Assessment and Linear Regression Analysis to Determine Significant Design Characteristics

2012 ◽  
Author(s):  
Ashley DeVierno ◽  
Brian Thorn ◽  
Andres L. Carrano
Keyword(s):  
Regression Analysis ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Linear Regression ◽  
Environmental Impact ◽  
End Of Life ◽  
Significant Relationship ◽  
Linear Regression Analysis ◽  
Cellular Phones ◽  
Design Characteristics

For designers it is difficult to pin-point the design characteristics that could be changed to reduce the environmental impact of their products. This paper describes a method for determining the design characteristics that have a significant relationship with environmental impact that arises at product end-of-life. In this method, Life Cycle Assessment (LCA) and Linear Regression Analysis (LRA) are combined. LCA is used to quantify the environmental impact of products from the extraction of their raw materials to their disposal. LRA is used to determine the design characteristics that have the most significant relationship with environmental impact. Combining LCA and LRA gives the designer the ability to (1) establish a relationship between design characteristics and their environmental impact, (2) determine the most significant design characteristics that influence environmental impact, and (3) validate design changes with their influence on product environmental impact. In the case study described here, the design characteristic, Volume, is shown to have significant relationship with the end-of-life environmental impact of cellular phones. This trend is consistent with the results of the one-phase end-of-life disposition assessments that evaluated disassembled cellular phones. With the results of this method, designers can focus their sustainable design efforts on modifying and improving the design characteristics that have the strongest relationship with environmental impact.

scholarly journals PENGARUH KEPUASAN KERJA TERHADAP INTENSI TURNOVER PADA GURU DI YAYASAN PGRI CIPAYUNG JAKARTA TIMUR AYU SURYANI

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
AYU SURYANI ◽  
Harya Kuncara ◽  
Siti Nurjanah
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Negative Affect ◽  
Significant Relationship ◽  
Turnover Intention ◽  
Linear Regression Analysis ◽  
Likert Scale ◽  
F Test ◽  
Variance Explained

The purpose of this research is to gain proper knowledge (legal, valid and true), trustworthy, dependable (reliable) concerning the influence of intense job satisfaction on turnover of teachers in East Jakarta Cipayung PGRI Foundation. This study used a survey, which studied data from samples taken from a populace. Collecting data using a Likert scale questionnaire to variable job satisfaction and turnover intention teacher in East Jakarta Cipayung PGRI Foundation. The sample in this study are all teachers in East Jakarta Cipayung PGRI Foundation (Saturation Sampling). This study uses linear regression analysis. The result is the satisfaction worked intense negative affect turnover. That is, the higher the job satisfaction obtained, the lower turnover intense. In addition, using the f test to determine the significance of the variable to Y produces f of 4.623 with p <0.05, which means there are significant effect all dimensions of job satisfaction on turnover intense. 0.47 shows the determination is meant the proportion of variance explained by the intense turnover entire dimension job satisfaction. The conclusion of this study is that there is significant relationship between the variables of job satisfaction on turnover intention variable. The higher satisfaction received by the teacher, the lower the intention Turnover. So are suggested every teacher should work in a professional manner in order to increase job satisfaction and ultimately reduce intense turnover Keywords: Job Satisfaction, Turnover Intention

The relationship between adolescents’ nutrition literacy and food habits, and affecting factors

2020 ◽  
pp. 1-12
Author(s):  
Bennur Koca ◽  
Gulcihan Arkan
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Relationship ◽  
Food Habits ◽  
Linear Regression Analysis ◽  
Food Habit ◽  
Affecting Factors ◽  
Cross Sectional ◽  
Factors Affecting ◽  
The Relationship

Abstract Objective: The current study aimed to investigate the relationship between nutrition literacy (NL) and food habits (FH) in adolescents, and the factors affecting the relationship. Design: The study used a cross-sectional design. The data were collected using socio-demographic information forms, the Adolescent Nutrition Literacy Scale (ANLS) and the Adolescent Food Habit Checklist (AFHC). The socio-demographic characteristics of adolescents were analysed using descriptive statistics, and the factors affecting NL and FH were determined using the t test, Mann–Whitney U test and ANOVA. The correlation between ANLS and AFHC scores was tested with correlation analysis, and linear regression analysis was employed to predict the change in the NL of adolescents at the level of FH. Setting: The study was conducted in the city of Izmir in Turkey. Participants: The study consisted of a total of 467 adolescents. Results: There was a statistically significant relationship between NL of adolescents and their gender, education level of the father, grade, BMI values and daily lifestyle behaviours (DLB), as well as between their FH and DLB. There was a positive and significant relationship between ANLS and AFHC. The ANLS and its subscales were found to have a statistically significant effect on AFHC. According to the linear regression analysis, the nutritional habits of adolescents were found to be significantly affected by NL (β = 0·357). Conclusions: As ANLS scores increased, AFHC scores were determined to increase as well. This finding shows that the FH of adolescents have changed positively with increase in their NL.

scholarly journals HUBUNGAN ANTARA PERSEPSI DUKUNGAN ORGANISASI DAN BUDAYA ORGANISASI DENGAN ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) PADA KARYAWAN PT. PERTAMINA UPMS V SURABAYA

2013 ◽  
Vol 3 (2) ◽  
pp. 141
Author(s):  
Faradisah Putrie ◽  
Mochammad Nursalim
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Organizational Support ◽  
Significant Relationship ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Citizenship Behavior

This study was aimed to examine the correlation between perception of organizational support, culture of organization, and support of organizational citizenship behavior (OCB) . Subjects were employees who are working at PT. Pertamina UPMS V Surabaya. The sample consists of 28 employees. Data collected using questionnaires and analysed using multiple linear regression analysis. The result showed that rxy= 0,411 which means that there is no significant relationship between perception of organizational support, culture of organization, and support of organizational citizenship behavior among participants. It can be assumed from the result that the higher perception of organizational support and organizational culture does not correlate to higher organizational citizenship behavior.Abstrak: Penelitian ini merupakan penelitian korelasional untuk menguji hubungan antara antara persepsi dukungan organisasi dan budaya organisasi dengan organizational citizenship behavior (OCB)  . Subjek penelitian adalah karyawan yang sedang bekerja di PT Pertamina UPMS V Surabaya. Populasi dalam penelitian ini berjumlah 30 karyawan dan sampelnya 28 karyawan. Pengumpulan data dalam penelitian ini menggunakan angket. Metode analisis data yang digunakan analisis Regresi Linier Berganda. Hasil penelitian menunjukkan tidak ada hubungan antara persepsi dukungan organisasi dan budaya organisasi dengan organizational citizenship behavior pada karyawan PT Pertamina UPMS V Surabaya dengan rxy= 0,411. Hal tersebut menunjukkan apabila persepsi dukungan organisasi dan budaya organisasi tinggi, maka tidak berarti organizational citizenship behavior tinggi pula.

scholarly journals Comparative life cycle assessment of lithium-ion capacitors production from primary ore and recycled minerals

2021 ◽  
Author(s):  
Peter I. Chigada ◽  
Olivia Wale ◽  
Charlotte Hancox ◽  
Koen Vandaele ◽  
Barbara Breeze ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
End Of Life ◽  
Product Life Cycle ◽  
Lithium Ion ◽  
Lca Methodology ◽  
Bottom Line ◽  
Recycled Materials ◽  
Lithium Ion Capacitor

The Life Cycle Assessment (LCA) methodology which allows quantification of environmental performance of products and processes based on complete product life cycle was utilised to evaluate the environmental burdens associated with manufacturing a 48 V lithium-ion capacitor (LIC) module. The prospective LCA compared the environmental impact of manufacturing a LIC module using primary ore materials and recycled materials from end-of-life LICs. For both the primary ore and recycled materials processes, the anode preparation stage was associated with the majority of the climate change and terrestrial acidification burdens. LIC module production utilising recovered materials from end-of-life LICs reduced the environmental impact compared to utilisation of primary ore resources. Application of the LCA methodology in early phase R&D activities was demonstrated with a case study on reagent choice decision-making process that accounted for environmental impact, technical performance and costs in alignment with the sustainability triple bottom line concept.

scholarly journals Risk factors for anxiety and depression in patients diagnosed with glaucoma at the Philippine General Hospital

2019 ◽  
Vol 16 (4) ◽  
pp. 329-344
Author(s):  
Christine Siguan Bell ◽  
Nilo Vincent D.G. Florcruz
Keyword(s):  
Risk Factors ◽  
Visual Acuity ◽  
Regression Analysis ◽  
Linear Regression ◽  
Significant Relationship ◽  
Linear Regression Analysis ◽  
Tertiary Hospital ◽  
Anxiety And Depression ◽  
Mean Deviation ◽  
Sociodemographic Profile

Objective: The main objective of this study is to identify the risk factors associated with anxiety and depression among Filipino patients with glaucoma at a tertiary hospital in Manila. The study also aims to determine the sociodemographic profile of patients diagnosed with glaucoma based on age, sex, and social history. Additionally, the study seeks to determine the prevalence of anxiety and depression among Filipino glaucoma patients. Methods: This is a single-center, cross-sectional study. The levels of anxiety and depression in 82 glaucoma patients, seen in a tertiary hospital in Manila, were evaluated using the Filipino version of the Hospital Anxiety and Depression Scale (HADS-P) questionnaire, which consists of two subscales, representing HADS-anxiety (HADS-A) and HADS-depression (HADS-D). The sociodemographic profile of the glaucoma patients was identified using percentages and frequency distribution. The prevalence of anxiety and depression among the participants was determined using percentages. To identify the risk factors for anxiety and depression, Pearson correlation and linear regression analysis were performed with the HADS-A and HADS-D subscores as dependent variables and demographic and clinical features as independent variables. Results: After analyzing the data available, it was noted that HADS-A score ≥ 11 was present in 15% of cases, indicating anxiety among the glaucoma patients. Borderline cases of anxiety were observed in 20% (HADS-A score of 8-10), and 65% were normal, with HADS-A scores of ≤ 7. Clinically diagnosed (HADS-D score of ≥11) cases of depression were 1%, borderline cases (HADS-D 8-10) were 12%, and patients with normal HADS-D score were 87%. The linear regression analysis revealed the following results: a significant relationship between the HADS-A subscore and age (B = −0.07, p = 0.0129); a significant relationship between the logarithm of minimum angular resolution (logMAR) best corrected visual acuity (BCVA) of the worse eye and HADS-A subscore (B = 0.424, p = 0.086); and the mean deviation of the worse eye and HADS-A subscore (B = 0.078, p = 0.025). The linear regression analysis revealed the following statistically significant relationships: HADS-D subscores and age (B = −0.06, p = 0.0125); logMAR BCVA of the worse eye and HADS-D subscore (B = 0.541, p = 0.006); mean deviation of the worse eye and HADS-D subscore (B = 0.070, p = 0.016); and mean deviation of the better eye and HADS-D subscore (B = 0.097, p = 0.032). Conclusion: This study shows that the prevalence of anxiety is higher than that of depression in patients with glaucoma. It can also be concluded that younger age is a risk factor for both anxiety and depression. The patient’s visual acuity in the worse eye and visual field severity are also risk factors for both anxiety and depression. It is therefore essential for physicians to be aware of the risk factors for anxiety and depression in patients with glaucoma and to provide glaucoma patients with appropriate psychological care, in addition to ophthalmological care, to prevent the development of these psychological conditions.

scholarly journals Comparative life cycle assessment of LED lighting products

2017 ◽  
Vol 50 (6) ◽  
pp. 801-826 ◽  
Author(s):  
JL Casamayor ◽  
D Su ◽  
Z Ren
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
End Of Life ◽  
Product Life Cycle ◽  
Functional Unit ◽  
System Boundaries ◽  
Led Lighting ◽  
Life Cycle Stages ◽  
Life Options

The use of LED lighting products is growing rapidly. However, there are no in-depth, updated studies that show how to assess and compare these products for eco-design purposes. This research aims to inform eco-design by assessing and comparing the environmental impact of a new LED eco-lighting product with an existing LED lighting product. A cradle to grave life cycle assessment is conducted. The system boundaries include all product life cycle stages, except the maintenance of the luminaires and the manufacturing of the packaging. A novel functional unit is defined for the assessment, which is more suitable for LED lighting products. Six scenarios are considered, including three probable useful lives of the luminaires (1000, 15,000 and 40,000 hours) and two end of life options (domestic bin and recycling centre). The life cycle assessment results reveal that the new eco-lighting product has about 60% less environmental impact than the existing lighting product in all scenarios. The life cycle stages with the biggest impacts are, in decreasing order: (1) use, (2) manufacturing, (3) end of life and (4) transport. Recommendations for the eco-design of LED lighting products are proposed, and the challenges in applying life cycle assessment for eco-design are discussed.

scholarly journals PENGARUH INVESTASI PMA / PMDN DAN JUMLAH PENDUDUK TERHADAP PRODUK DOMESTIK REGIONAL BRUTO DAN PENDAPATAN ASLI DAERAH KOTA SAMARINDA

2013 ◽  
Vol 11 (2) ◽  
pp. 227
Author(s):  
Doni Julfiansyah
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Foreign Investment ◽  
Significant Relationship ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Domestic Product ◽  
Domestic Investment ◽  
The City

The objective of this study is to investigate and analyze whether or not the influence of foreign investment, domestic investment, and the population of the Gross Regional Domestic Product of Samarinda. In addition, to determine and analyze whether or not the influence of foreign investment, domestic investment, and the population of the city of Samarinda Revenue. Analysis of the data used is multiple linear regression analysis. The results showed that: the first model (1) there is a significant relationship between the variables of foreign investment, domestic investment, and the population of the Gross Regional Domestic Product simultaneously. (2) partially only population that significantly affect the Gross Regional Domestic Product. Whereas the second model results indicate that (1) there is a significant relationship between the variables of foreign investment, domestic investment, and the population of the region income simultaneously. (2) partially no good variable Foreign Investment, Domestic Investment, and the number of people who influence the Revenue.  

scholarly journals Environmental Impact of Subsidy Concepts to Stimulate Car Sales in Germany

2020 ◽  
Author(s):  
Malte Scharf ◽  
Ludger Heide ◽  
Alexander Grahle ◽  
Anne Syré ◽  
Dietmar Göhlich
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
End Of Life ◽  
Co2 Emissions ◽  
Balance Model ◽  
Car Sales

This paper establishes a prognosis of the long term environmental impact of various car subsidy concepts. The CO2 emissions of the German car fleet impacted by the purchase subsidies are determined. A balance model of the CO2 emissions of the whole car life cycle is developed. Consideration of production-, use- and End-of-Life processes are taken into account. The implementation of different subsidy scenarios directly affects the forecasted composition of the vehicle population and therefore the resulting life cycle assessment. All scenarios compensate the additional emissions required by the production pull-in within the considered period and hence reduce the accumulated CO2 emissions until 2030. The exclusive funding of BEVs is most effective with a break-even in 2025.

scholarly journals Comparison of COVID-19 outcomes with alpha-1-antitrypsin deficiency prevalence: A cross-sectional study.

2021 ◽  
Author(s):  
Yılmaz Sezgin ◽  
Sinan Becel
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Relationship ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Antitrypsin Deficiency ◽  
Alpha 1 Antitrypsin Deficiency ◽  
Alpha 1 Antitrypsin

Background: We hypothesized that the geographic distributions of COVID-19 prevalence and risky alpha-1-antitrypsin allele prevalence are similar. We aimed to investigate whether there is a relationship between the geographical density of the COVID-19 pandemic and the distributions of risky alpha-1-antitrypsin alleles. Methods: This research is a cross-sectional study. Alpha-1-antitrypsin PI*SZ and PI*ZZ genotypes frequencies of European and American countries were compared with the case and death data related to the COVID-19 pandemic as of March 30, 2021. The relationship between the data was evaluated using Linear regression analysis. Results: According to the linear regression analysis results, a significant relationship was found between the number of COVID-19 cases in both European and American countries and the sum of PI*SZ and PI*ZZ genotypes. Similarly, according to the linear regression analysis results, a significant relationship was found between the COVID-19 death numbers in both European and American countries and the sum of PI*SZ and PI*ZZ genotypes. Conclusions: The findings showed that the prevalence distribution of the risky alleles of the gene defect that causes alpha-1-antitrypsin insufficiency is related to the prevalence of COVID-19 pandemic data.

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