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Diversity in Daily Living – An International Survey for Individual Practices
Monica Mastrantonio,
Raveenthiran Vivekanantharasa,
Lidia Martinez
Issue:
Volume 3, Issue 2, June 2022
Pages:
60-65
Received:
28 February 2022
Accepted:
22 March 2022
Published:
29 April 2022
DOI:
10.11648/j.sf.20220302.11
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Abstract: This study uses the concept of diversity from Science applying it to Social Studies to understand the diversity of relationships and inputs present in human everyday living. Diversity requires a multi-ethnical, cultural, age, gender, religious background to be developed. This means diversity in relationships need diversity as a concept in all human relations. Diverse living and lifestyle can potentially support the individual through harsh periods meanwhile diminishing prejudice and intolerance. The present study applied the Diversity Survey Questionnaire (DSQ) containing 47 questions (40 questions using a 5-multiple choice scale ranging from always to never, and 7 questions with written answers). A total of 333 individuals participated in the research. The DSQ was created by Dr. Monica Mastrantonio to measure how diverse and inclusive a person’s life be can possibly be. The results were collected and measured using the Google platform, and automatically using metrics to reach quantitative results. The collected data shows that diversity has crucial importance in everyday living. Nevertheless, data also showed that people lack significant opportunities to engage in multiple life experiences. Participants also agreed on various aspects that can be done to improve diversity as a method of living. It is concluded that this survey brought important aspects in how people engage in a plural and diverse society, and what needs to be done in that direction.
Abstract: This study uses the concept of diversity from Science applying it to Social Studies to understand the diversity of relationships and inputs present in human everyday living. Diversity requires a multi-ethnical, cultural, age, gender, religious background to be developed. This means diversity in relationships need diversity as a concept in all human...
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Applying Deep Learning Technology on Prediction of Gini Coefficient
Issue:
Volume 3, Issue 2, June 2022
Pages:
66-73
Received:
2 May 2022
Accepted:
18 May 2022
Published:
31 May 2022
DOI:
10.11648/j.sf.20220302.12
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Abstract: Over the last few decades, income inequality has grown dramatically in the United States, with the top twenty percent earning more than the bottom eighty percent combined. The studies about the income inequality is becoming more and more important in the economics and politics area. The research of this paper combined the computer technology and the economic problem solving together. The project applied Deep Learning technology for creating a model to predict the most important indicator of income inequality, Gini coefficient in the future based on the historical relevant data, so that observe the ever widening gap between the rich and the poor. It also found the major elements that governed this widening behavior through analyzing the impacts of the related attributes. This study obtained and analyzed substantial amount of data, which contain information on the income, expenses and the financial footprints of families in the United States, to draw empirical conclusions. The results may help the public and the economic research society for their decision making. Using Deep Learning algorithms, the data analysis was far more efficient, and by generating the Deep Learning multi-layer Neural Networks, the prediction was quite accurate. This study has obtained some promising results. It showed an encouraging direction on the prediction of Gini coefficient, through applying Deep Learning models.
Abstract: Over the last few decades, income inequality has grown dramatically in the United States, with the top twenty percent earning more than the bottom eighty percent combined. The studies about the income inequality is becoming more and more important in the economics and politics area. The research of this paper combined the computer technology and th...
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Carbon Sequestration Potential of Grazing Lands in Abijata-Shalla Lake National Park, Oromia Regional State, Ethiopia
Meseret Tilahun,
Tessema Zewdu,
Abule Ebro
Issue:
Volume 3, Issue 2, June 2022
Pages:
74-87
Received:
8 March 2022
Accepted:
2 June 2022
Published:
9 June 2022
DOI:
10.11648/j.sf.20220302.13
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Abstract: This study aimed to estimate the carbon sequestration potential and soil properties of the Abijata-Shalla Lake National Park in Ethiopia. The random sampling techniques were used for dead wood, litter, soil, woody trees and herbaceous) under the different grazing pressure. The DBH (> 2cm) and height of woody trees were used for biomass estimation with allometric equation and the dead wood volumes by smallian formula. The specific wood density was used for each species to estimate the total biomass. The high proportion of (45.35%) woody species found in (10-20cm) DBH classes in the highly grazed area and (38.78%) in the low grazed area. The densities of woody trees decrease as the height and the DBH increases in the study area. The overall mean of carbon stock of aboveground, belowground, dead wood and litter were 112.3, 22.5, 6.9 and 0.95 t C ha-1, respectively. The soil physical properties (sand and silt) and the electric conductivity (EC) PH, Av.p, CEC shows the significance difference (P < 0.05) with grazing pressure and across soil depth. Generally, the overgrazing has negative impacts on the vegetation biomass and the soil quality. Therefore, the sustainable management, such as destocking of livestock, rotational grazing and intervention of community based conservation was suggested to sustain the ecosystem health and enhance the carbon sequestration potentials.
Abstract: This study aimed to estimate the carbon sequestration potential and soil properties of the Abijata-Shalla Lake National Park in Ethiopia. The random sampling techniques were used for dead wood, litter, soil, woody trees and herbaceous) under the different grazing pressure. The DBH (> 2cm) and height of woody trees were used for biomass estimation w...
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Terra Preta: Organic Manure from Septage for Improving Crop Productivity
Ravikiran Shet,
Nand Nitin Kamat,
Shree Sharan,
Srikanth Mutnuri
Issue:
Volume 3, Issue 2, June 2022
Pages:
88-95
Received:
13 May 2022
Accepted:
26 May 2022
Published:
9 June 2022
DOI:
10.11648/j.sf.20220302.14
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Abstract: The lost nutrient rich top soil from the surface of the earth can be replenished by the use of organic fertilizers. Terra Preta (TP) is high quality organic fertilizer with potential to replace chemical fertilizers (CF). This organic fertilizer competes with CF in providing adequate nitrogen, phosphorous and potassium (NPK) to soil as well as crops. The present study focuses on production of TP using septage sludge, which was tested on two different agricultural crops at field scale. Field experiments were conducted at Santa Cruz, Goa, India, in two different crops namely Capsicum frutescens (chili) and Oryza sativa (paddy) at one acre capacity. In this, standard CF was treated with TP on yield and other plant growth parameters. Different ratios of CF with TP (TP, TP+50% CF, TP+75% CF, TP+100% CF), recommended dose of CF and farmer’s practice were studied. The results of the study suggested that the use of TP increased yield by 15% and 16% for C. frutescens and O. sativa respectively when compared to control. The increase in other parameters such as plant height and leaf length was also significant with TP as 15% and 10% respectively. However for O. sativa, the plant height was found to be 10.7% higher than 23% more biological yield.
Abstract: The lost nutrient rich top soil from the surface of the earth can be replenished by the use of organic fertilizers. Terra Preta (TP) is high quality organic fertilizer with potential to replace chemical fertilizers (CF). This organic fertilizer competes with CF in providing adequate nitrogen, phosphorous and potassium (NPK) to soil as well as crops...
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The Fishery Value of Licorice (Glycyrrhiza uralensis Fiseh): Current Situation, Problems and Suggestions
Wenbo Wang,
Shan Wang,
Pin Liu,
Lingling Dou,
Yue Ning,
Ping Wang,
Yalong Feng,
Qin Zhao,
Ruimin Xi,
Yishan Lu
Issue:
Volume 3, Issue 2, June 2022
Pages:
96-101
Received:
5 May 2022
Accepted:
18 May 2022
Published:
27 June 2022
DOI:
10.11648/j.sf.20220302.15
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Abstract: More and more herbal medicines have been applied to aquaculture. It is reported that herbal medicines can effectively improve immune functions of fish and shrimp, increase their non-specific killing activities to kinds of pathogens and enhance their resistance to diseases, which is very beneficial to prevention and cure of fish diseases and development of natural fish medicines. Licorice (Glycyrrhiza cyrrhiza uralensis Fiseh), a perennial herb of the genus Glycyrrhiza cyrrhiza in Leguminosae, is mainly distributed in Northeast China, North China and Northwest China. In aquaculture practice, if licorice can be used reasonably, not only can the resistance of pathogens caused by chemical drugs and antibiotics be avoided, but also because of its pure natural characteristics, the pollution of water and fish is relatively less than usual, thus it will avoid the problem of drug residues exceeding the standard. This opens up a new way for the prevention of fish diseases and the development of green fish medicine. However, there are still some problems to be solved in the use of licorice, such as the quality, dosage, specialized prescriptions and professional terms. In this paper, the fishery value of licorice was summarized from its active ingredients, application situation, problems and suggestions.
Abstract: More and more herbal medicines have been applied to aquaculture. It is reported that herbal medicines can effectively improve immune functions of fish and shrimp, increase their non-specific killing activities to kinds of pathogens and enhance their resistance to diseases, which is very beneficial to prevention and cure of fish diseases and develop...
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