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Showing 479 results for Quality
Volume 0, Issue 0 (1-2024)
Abstract
Mexican limes have a limited shelf life due to color changes and reduced freshness. This study evaluated the effects of melatonin (ML) and pomegranate seed oil (PSO) on maintaining postharvest quality at 20 ± 2°C and 50-60% relative humidity. The results showed that melatonin at 100 µM+PSO and 200 µM+PSO exhibited the highest overall fruit acceptability. The control group displayed the most weight loss (20.8%), while PSO demonstrated the least (12.5%). With the exception of the PSO treatment, all other treatments exhibited significantly elevated levels of phenols, flavonoids, and antioxidants. The PSO and control treatments demonstrated the lowest catalase (69 U/g FW) and peroxidase (53.5 U/g FW) activities, while the highest polyphenol oxidase activity (99.6 U/g FW) was also observed in these groups. The control and PSO treatments also exhibited the highest total soluble solids (TSS) content (8.2%) and the lowest acidity (8.5%). Overall, most traits exhibited significant differences between the treatment groups and the control, excluding the PSO treatment.
Keywords Citrus, Postharvest quality, Shelf life, Antioxidant.
Keywords Citrus, Postharvest quality, Shelf life, Antioxidant.
Volume 0, Issue 0 (12-2024)
Abstract
Aim and Introduction
This paper examines the distribution of income in Iran from 2006 to 2016 and evaluates the validity of one of the latest economic theories concerning income distribution, namely, the Econophysics Two-Class Theory of Income Distribution (EPTC).
According to this model, income distribution generally comprises two classes. The lower class of this distribution, typically representing 97 to 99% of th society, follows the exponential (thermal) Boltzmann-Gibbs distribution, primarily driven by labor income. This distribution remains stable over time and undergoes minimal fundamental changes. Conversely, the income distribution of the upper class, constituting approximately 1 to 3% of society, follows the Pareto distribution, recognized as a superthermal distribution in econophysics. Notably, this distribution exhibits high variability over time, closely mirroring fluctuations in the stock market.
For this study, a review of the theoretical literature on the statistical distribution of income is conducted, tracing its evolution from Pareto's initial attempts to the formulation of the two-class distribution of income. In the methodology section, emphasis is placed on delineating the characteristics of two Probability Density Functions (PDFs) and Complementary Cumulative Distribution Functions (CCDFs) associated with exponential and Pareto distributions. The methodology elaborates on the approach to detecting income distribution patterns within the framework of the aforementioned theory. Subsequently, in the data and findings section, an examination of the income data spanning the specified time period in Iran is undertaken. The section meticulously explores the compatibility of these data with the EPCT, offering detailed discussions on the observed patterns and their alignment with the theoretical framework. Finally, the implications of the EPCT are elucidated, and the paper's conclusions are presented in the concluding remarks section.
Methodology
In complex systems concluding big data or complex models, alternative approaches beyond conventional statistical tests may be employed to estimate distributions. Visual inspection and descriptive analysis, facilitated by histograms and distribution charts, serve as effective tools for approximating distributions without relying on statistical tests. The selection of distributions is informed by theoretical considerations that align with the underlying characteristics of the system. These alternative methods offer practicality and informativeness, particularly in scenarios where traditional statistical assumptions may not hold or when dealing with extensive and unconventional data. The present article adopts this methodological approach to analyze income distribution in Iran.
The initial step involves drawing the histogram and probability density function (PDF). The shape of the histogram guides the identification of distribution. Given the potential complexity arising from large datasets, and the ambiguity that may arise from visual inspection of merely the PDF, a Complementary Cumulative Distribution Function (CCDF) plot serves as a valuable aid. Subsequently, following the first step and the selection of candidate theoretical distributions, the CCDFs are plotted to ascertain the optimal fit with the experimental data distribution. Consequently, the combined use of PDF and CCDF serves as indispensable tools for delineating annual income distribution patterns.
The resemblance between the graphs of the PDF for both exponential and Pareto distributions on a linear-linear scale poses challenges in distinguishing between these distributions. Similarly, the CCDF curve lacks clarity on a linear-linear scale due to this similarity. However, employing a logarithmic-linear scale to plot the survival function related to the data of the lower part of society proves beneficial, as it reveals a smooth line representative of the exponential Boltzmann-Gibbs law. Similarly, plotting the survival function for the upper part of the society on a logarithmic-logarithmic scale serves to elucidate the Pareto power law. Consequently, plotting the survival function for the entire dataset on a logarithmic-logarithmic scale, as per the hypothesis of the EPTC, should unveil two distinct segments: exponential and Pareto.
Findings
The data utilized in this study were derived from the raw tables pertaining to the household expenditure-income (budget) plan, annually published by the Statistical Center of Iran. Specifically focusing on data sourced from the urban population, which constituted approximately three-quarters of the total population during the study period. Data preparation commenced with the meticulous removal of zero and negative values, followed by deflation adjustments based on the consumer price index. Subsequently, data normalization was conducted utilizing the slope of the line of the CCDF for the lower part of the dataset, plotted on a logarithmic-linear scale for each year. This normalization process was initiated based on the initial estimate of the border income, set at the 99.7th percentile. Finally, an appropriate binning strategy was selected, with a uniform value of 0.4 (∆r≈0.4T) applied to all data subsequent to the initial 0.2 portion.
Plotting the PDF of the income pertaining to the lower class of the society across three scales—linear-linear, logarithmic-linear, and logarithmic-logarithmic—alongside the fitting line of the exponential distribution function for the year 2016 revealed a notable alignment, indicative of a robust fit with the theoretical exponential distribution.
Alternatively, the survival function chart was employed to analyze the income distribution among the upper class of society. Presenting this data graphically across three scales—linear-linear, logarithmic-linear, and logarithmic-logarithmic—for the entirety of 2016 underscored two key findings. Firstly, the tail-end distribution of income follows the Pareto distribution. Secondly, and of paramount significance, these graphical representations unequivocally affirmed the appropriateness of dividing the dataset into two distinct segments.
Plotting the PDF for the 11-year period revealed that the data pertaining to the lower part of the society, representing 99.7% of the total population, converged onto a singular curve following normalization across the entire duration under study. Subsequently, depicting the survival functions for the aforementioned 11-year time frame in a unified graph, utilizing both logarithmic-linear and logarithmic-logarithmic scales, served as a more definitive validation of the two-class theory of income distribution.
Discussion and Conclusion
The analysis of income data in Iran from 2006 to 2016 reveals a distinct two-class structure in the country's income distribution.
Firstly, the lower class, encompassing approximately 97 to 99.7% of the population, follows the exponential Boltzmann-Gibbs distribution, primarily driven by labor income. This statistical distribution reflects a cumulative process characterized by a constant rate of decrease, as indicated by the exponential distribution's parameter. The consistency observed in the exponential fit graphs of the survival function and data histogram across different years suggests the stability of income distribution within the lower class over time. This stability parallels thermal equilibrium in physics, suggesting that the majority of the population is in a stable equilibrium. Notably, the high-resolution histogram of the PDF reveals a sharp and narrow peak at low incomes, attributed to governmental policies such as the imposition of minimum wage regulations.
Conversely, the upper class, constituting approximately 0.3 to 3% of the population, follows a Pareto distribution, predominantly influenced by capital income. However, unlike the lower class, the distribution of income within this part does not align along a single line in the power law segment. This part undergoes discernible fluctuations from year to year, indicating instability within this economic sector. These fluctuations are attributed to the variability of capital income
This paper examines the distribution of income in Iran from 2006 to 2016 and evaluates the validity of one of the latest economic theories concerning income distribution, namely, the Econophysics Two-Class Theory of Income Distribution (EPTC).
According to this model, income distribution generally comprises two classes. The lower class of this distribution, typically representing 97 to 99% of th society, follows the exponential (thermal) Boltzmann-Gibbs distribution, primarily driven by labor income. This distribution remains stable over time and undergoes minimal fundamental changes. Conversely, the income distribution of the upper class, constituting approximately 1 to 3% of society, follows the Pareto distribution, recognized as a superthermal distribution in econophysics. Notably, this distribution exhibits high variability over time, closely mirroring fluctuations in the stock market.
For this study, a review of the theoretical literature on the statistical distribution of income is conducted, tracing its evolution from Pareto's initial attempts to the formulation of the two-class distribution of income. In the methodology section, emphasis is placed on delineating the characteristics of two Probability Density Functions (PDFs) and Complementary Cumulative Distribution Functions (CCDFs) associated with exponential and Pareto distributions. The methodology elaborates on the approach to detecting income distribution patterns within the framework of the aforementioned theory. Subsequently, in the data and findings section, an examination of the income data spanning the specified time period in Iran is undertaken. The section meticulously explores the compatibility of these data with the EPCT, offering detailed discussions on the observed patterns and their alignment with the theoretical framework. Finally, the implications of the EPCT are elucidated, and the paper's conclusions are presented in the concluding remarks section.
Methodology
In complex systems concluding big data or complex models, alternative approaches beyond conventional statistical tests may be employed to estimate distributions. Visual inspection and descriptive analysis, facilitated by histograms and distribution charts, serve as effective tools for approximating distributions without relying on statistical tests. The selection of distributions is informed by theoretical considerations that align with the underlying characteristics of the system. These alternative methods offer practicality and informativeness, particularly in scenarios where traditional statistical assumptions may not hold or when dealing with extensive and unconventional data. The present article adopts this methodological approach to analyze income distribution in Iran.
The initial step involves drawing the histogram and probability density function (PDF). The shape of the histogram guides the identification of distribution. Given the potential complexity arising from large datasets, and the ambiguity that may arise from visual inspection of merely the PDF, a Complementary Cumulative Distribution Function (CCDF) plot serves as a valuable aid. Subsequently, following the first step and the selection of candidate theoretical distributions, the CCDFs are plotted to ascertain the optimal fit with the experimental data distribution. Consequently, the combined use of PDF and CCDF serves as indispensable tools for delineating annual income distribution patterns.
The resemblance between the graphs of the PDF for both exponential and Pareto distributions on a linear-linear scale poses challenges in distinguishing between these distributions. Similarly, the CCDF curve lacks clarity on a linear-linear scale due to this similarity. However, employing a logarithmic-linear scale to plot the survival function related to the data of the lower part of society proves beneficial, as it reveals a smooth line representative of the exponential Boltzmann-Gibbs law. Similarly, plotting the survival function for the upper part of the society on a logarithmic-logarithmic scale serves to elucidate the Pareto power law. Consequently, plotting the survival function for the entire dataset on a logarithmic-logarithmic scale, as per the hypothesis of the EPTC, should unveil two distinct segments: exponential and Pareto.
Findings
The data utilized in this study were derived from the raw tables pertaining to the household expenditure-income (budget) plan, annually published by the Statistical Center of Iran. Specifically focusing on data sourced from the urban population, which constituted approximately three-quarters of the total population during the study period. Data preparation commenced with the meticulous removal of zero and negative values, followed by deflation adjustments based on the consumer price index. Subsequently, data normalization was conducted utilizing the slope of the line of the CCDF for the lower part of the dataset, plotted on a logarithmic-linear scale for each year. This normalization process was initiated based on the initial estimate of the border income, set at the 99.7th percentile. Finally, an appropriate binning strategy was selected, with a uniform value of 0.4 (∆r≈0.4T) applied to all data subsequent to the initial 0.2 portion.
Plotting the PDF of the income pertaining to the lower class of the society across three scales—linear-linear, logarithmic-linear, and logarithmic-logarithmic—alongside the fitting line of the exponential distribution function for the year 2016 revealed a notable alignment, indicative of a robust fit with the theoretical exponential distribution.
Alternatively, the survival function chart was employed to analyze the income distribution among the upper class of society. Presenting this data graphically across three scales—linear-linear, logarithmic-linear, and logarithmic-logarithmic—for the entirety of 2016 underscored two key findings. Firstly, the tail-end distribution of income follows the Pareto distribution. Secondly, and of paramount significance, these graphical representations unequivocally affirmed the appropriateness of dividing the dataset into two distinct segments.
Plotting the PDF for the 11-year period revealed that the data pertaining to the lower part of the society, representing 99.7% of the total population, converged onto a singular curve following normalization across the entire duration under study. Subsequently, depicting the survival functions for the aforementioned 11-year time frame in a unified graph, utilizing both logarithmic-linear and logarithmic-logarithmic scales, served as a more definitive validation of the two-class theory of income distribution.
Discussion and Conclusion
The analysis of income data in Iran from 2006 to 2016 reveals a distinct two-class structure in the country's income distribution.
Firstly, the lower class, encompassing approximately 97 to 99.7% of the population, follows the exponential Boltzmann-Gibbs distribution, primarily driven by labor income. This statistical distribution reflects a cumulative process characterized by a constant rate of decrease, as indicated by the exponential distribution's parameter. The consistency observed in the exponential fit graphs of the survival function and data histogram across different years suggests the stability of income distribution within the lower class over time. This stability parallels thermal equilibrium in physics, suggesting that the majority of the population is in a stable equilibrium. Notably, the high-resolution histogram of the PDF reveals a sharp and narrow peak at low incomes, attributed to governmental policies such as the imposition of minimum wage regulations.
Conversely, the upper class, constituting approximately 0.3 to 3% of the population, follows a Pareto distribution, predominantly influenced by capital income. However, unlike the lower class, the distribution of income within this part does not align along a single line in the power law segment. This part undergoes discernible fluctuations from year to year, indicating instability within this economic sector. These fluctuations are attributed to the variability of capital income
Volume 1, Issue 1 (11-2009)
Abstract
This article, using a sociological perspective, attempts to understand the application of empirical methods in the Iranian-Islamic golden age, especially during 130-500 Hegri. It distinguishes different approaches to rational knowledge and laying emphasis on empirical science in the mentioned period. The theoretical framework of the present paper is the sociology of science, especially the interpretative sociology of science in the Weberian and Mertonian traditions. This framework provides the possibility of studying internal cultural factors, beyond cultural exchange and external transfer of scientific knowledge. The author, through studying the history of natural sciences and humanities at the Iranian-Islamic golden age, shows how applying empirical methodology of science to, for example, historical, geographical, and anthropological knowledge, have been influenced by the social interpretation of prophetic religion. In particular, it is indicated that the cultural elements of social belonging, equality and mutual understanding of Shoobieh ethics influenced the above mentioned areas of scientific endeavor.
Volume 1, Issue 1 (10-2011)
Abstract
The recent concept of the cultural landscape is the result of the development of the contemporary society and it`s valuables. In the past years, often the special art works and important monuments were being noticed, but after the world war and its destructions and the enormous industrial development in the decade of 1950’s, people understood that their lives had a close relationship with the environment in which they had lived or worked, and this became a basis for the recognition of the cultural identity and a spiritual reference for a balanced way in their lives. Due to the considerable influence of the cultural regeneration on the desirable components of quality in the living environment of the citizens; the concepts of quality of citizen’s life and the effect of indexes of the objective quality on the citizen’s life, would be studied. On this basis, nowadays paying attention to the urban centers and the solutions based on the necessity of increase in quality of life is very important for the managers and urban program designers; because the desirable quality of the spaces have an undeniable effect on the humanity sensations and spaces are the basis of social and public activities, holding the ceremonies, identification factor of the cities, the arena for the believes to emerge, their thoughts and the way of living.In addition, regarding the fact that one of the main aspects and concentrations of urban buildings and building the large cities was based on the urban complexes, and nowadays the neglectfulness of the urban managers about these type of spaces has made a lot of problems for these centers which have degraded the quality of the life environments of the citizens. Zandiye complex of shiraz, which is a special kind of cultural landscape within the urban environment; is going to be studied and instructions based on the regeneration would be presented to improve the quality of the citizen’s life in this urban complex. The effects of this complex on Shiraz are so that it has defined a part of the identity of this city during the history, because the national and religious ceremonies have been held in this complex. Regardless of the vastness and importance of the Karimkhan complex of buildings due to the diverse and new functions, the zand street passing through the complex and some social-cultural issues, have affected the living quality and sustainable presence of the citizens; So a qualitative coordinator design seems to be very essential. It is obvious that the improvement of the quality of life in the cultural landscape in urban space needs to have access to the criteria’s and conditions which meet the consent of the citizen by providing their spiritual and non-spiritual requirements. The investigation procedure of this paper is based on the descriptive-analytic research method or the historical case study approach. The resources of this research are libraries and field observations.
Volume 1, Issue 1 (6-2020)
Abstract
The item of livability is one of the closest concepts to the quality of life that through it an ideal environmental society can be estimated. Therefore, any increasing or decreasing in the amount of livability is a means to evaluate staying inhabitants in the neighborhoods, regions, and cities. Also, it is a measurement for estimating the quality of life. While the city is developing, at the same time, all its traditional, new and periphery neighborhoods are facing to variety of physical, cultural, etc changes. So, due to existence of some challenging issues and necessity of livability to inhabitants, this needs to be assessed. In this study, three different neighborhoods including Haji, Etemadieh, and Mazdaghineh are investigated. It is interesting that all of them situated in 2 region municipality in Hamedan. There would be four components including physical-spatial, social-cultural, economic, and environmental items. The analytical-comparative methodology is used and in order to data analyzing and final evaluations, SPSS 19 and Expert Choice 10 technique is implemented and finally AHP method is used. To gather data observing, completion questionaires by residetial neighborhood and interviews with experts are used. Final results exhibited that the amount of livability in the neighborhood of Etemadieh is the most, nearly 0.431 points, and Haji and Mazdaghineh respectively are the second and the third livability neighborhoods with 0.322 and 0.246 points. The physical and economic components in Haji neighborhood are more favorable than other neighborhoods, but the social component in Mazdaqineh neighborhood is superior to the other two neighborhoods. The Etemadiyeh neighborhood is also a priority in the environmental component over other neighborhoods.
Volume 1, Issue 1 (6-2020)
Abstract
Almost all western theorists in the field of urban studies pointed to urban vitality in their books and articles. Also, vitality is a fashionable word in the lexicon of urbanism in Iran, but in fact, it received little support from urban planners, urban designers, and geographers. During the years of confrontation with western achievements and modernism in Iran, people experience the incorrect manner of using imported terms, theories and inventions. Urban vitality is another example of such experiences, and the exact meaning and position of vitality in Iranian urban contexts is still unclear. There are lots of articles and projects focusing on urban vitality without clarifying the situation on which people can pursue vitality for an urban context. In the present study, the meaning and position for urban vitality, and the misuses of this concept in Iranian urban contexts is discussed.
Volume 1, Issue 2 (6-2016)
Abstract
Introduction: Quality of life plays a considerable role in individual and social health. Low back pain is the most common musculoskeletal disorders and cause negative impacts on various aspects of life. The aim of study was to compare the quality of life of students with and without low back pain.
Methods and Materials: This was across-sectional study performed among students at the Faculty of Humanities, Islamic Azad University, and west branch in Tehran., Iran. 200 students took part in the study and the SF-36scale was used to assess the quality of life of the participants.
Findings: The mean score of overall quality of life, physical, and mental health of the participants were 67.87 ± 19.07, 72.36 ± 21.53, and 63.20 ± 21.34 respectively. There was a significant relationship between quality of life and socio-economic status (p = 0.007), physical activity (p = 0.002) and smoking (p = 0.007). About %60/3of all participants (N = 114) reported back pain history. There were significant relationship between quality of life and low back pain (p = 0.0001).
Quality of life in students with back pain was less than those without back pain.
Conclusion: Considering the underlying factors affecting the quality of life of students, this study showed low back pain could also diminish the quality of life of the students.
Volume 1, Issue 3 (9-2016)
Abstract
Background: Back injury in nurses is one of the most common health problems. The chronic low back pain leads to several problems including disability, daily activities, physical and emotional problems and decreasing quality of life. The purpose of this study was to assess the quality of life of nursing staff with chronic nonspecific low back pain in Yazd, Iran. Materials and Methods: This study was a descriptive-analytic study. A total of 119 nurses were selected with nonrandom purposive sampling method. Health-related quality of life of the participants was assessed using the 36-item short-form health survey questionnaire (SF-36) and analyzed through SPSS software version 20 by appropriate statistical tests. Results: This study showed that there were significant differences between the quality of life of nursing staff with chronic low back pain and Iranian normal population in all aspects (P < .0001). It was revealed that only in the area of physical function there was a significant relationship between age and the quality of life (P < .0001). Conclusion: The results confirmed the effect of income on dimensions such as physical role, bodily pain, mental health, and social function.
Volume 1, Issue 4 (10-2016)
Abstract
Background: Socio demographic characteristics of nurses who work in hospitals may impact on their quality of life. This study aimed to assess the relationship between quality of life of nursing staff with chronic nonspecific low back and their socio demographic characteristics. Materials and Methods: This study was a cross section study. A total of 119 nurses were participated in this study. The 36-item short-form health survey questionnaire (SF-36) was used to assess Health Related Quality of Life (HRQOL) of the participants. SPSS software version18 was applied to analyze data by appropriate statistical tests. Results: Totally 119 nurses including 93 female (78.1%) were participated in the study. The study showed that there was a significant relationship between age and physical function (P < 0.0001). Also there was significant relationship between income and physical role (P < 0.0001) as well as bodily pain (P = 0.015), mental health (P = 0.015), and social function (P = 0.03. ( Conclusions: The socio demographic characteristics of nurses could be considered while their QOL are assessed.
Volume 1, Issue 4 (10-2016)
Abstract
Background: Back pain is one of difficulties in communities that has negative effect on various aspect of life. The purpose of this study is to assess the aspects of life quality and its relationship with disability due to low back pain among students.
Methods and Material: In this cross-sectional descriptive study, 200 eligible students were enrolled through purposive available sampling. Data was obtained based on demographic data questionnaire, the Roland-Morris Disability Questionnaire and SF-36 inventory. All data were entered into SPSS version 19 and analyzed.
Results: Results of this study showed that 60.3 percent (114 people) of students were living with low back pain. Based on Roland-Morris disability questionnaire, 80 percent (91 people) of those with low back pain were suffered from disability. The chi-square test showed there was a significant relationship between quality of life (QOL) (mental health and social function) and disability due to low back pain,. It also was shown that indirect relationship between all aspects of QOL and disability due to low back pain was existed.
Conclusion: This study indicated low back pain could affect not only on students' physical aspects of quality of life but also psychological and social aspects of quality of life could be decreased. Considering these effects of low back pain among students, multidimensional interventions regarding bio- psychosocial dimensions recommended to improve the quality of life of this target group.
Volume 1, Issue 4 (12-2023)
Abstract
Today, carbon dioxide emission is one of the concerns of all countries in the world, so in this paper, we examine the effect of export quality, energy efficiency, and economic complexity on CO2 emissions per capita during the period of 1990 to 2014 in emerging economies. For this purpose, first, energy efficiency is calculated using mathematical programming methods (DEA). Then, the effect of export quality, energy efficiency, and economic complexity on per capita carbon dioxide emissions in the panel of emerging economies is investigated using panel quantile regression. The energy efficiency results show that the average energy efficiency of the studied countries had been increasing from 1990 to 2014. The lowest efficiency score among the studied countries is related to China. The results of quantile regression indicate that the export quality and consumption per capita of fossil fuels have a positive and significant effect on CO2 emissions per capita in all quantiles. The results also show that the coefficient increases by moving in the level of quantiles, so that, the highest effect coefficient of export quality on CO2 emission is related to the quantile 90th and about 0.874. Energy efficiency has a negative and significant effect in all quantiles except 90th, and the highest coefficient of influence (0.133) is related to quantile 10th. The increase in economic complexity increases the co2 emissions in all quantiles except 10th, and the highest coefficient (about 0.487) is related to quantile 90th.
Volume 1, Issue 4 (12-2023)
Abstract
The quality of stable environments is crucial for maintaining the health of horses, minimizing air pollution, and potentially utilizing waste for fuel production. This study investigates the physical, chemical, and biological characteristics of dry horse bedding across twenty-four horse-riding clubs in Tehran. The objectives are to gather information on current stable practices and assess the suitability of used bedding for reuse or energy generation. Results revealed that the moisture content of the bedding ranged from 39.63% to 76.92%, leading to high drying costs. Ash content varied between 7.73% and 17.20%, while nitrogen content ranged from 0.78% to 1.77%. Hydrogen content was measured between 7.06% and 9.04%, with carbon content ranging from 14.74% to 24.46%. The particle size distribution showed that 70% to 94% of particles were smaller than 3.15 mm, with 0.5% to 1.5% below 0.075 mm, indicating potential health concerns. The average gross calorific value was 19.0372 MJ/kg. While the pellet samples did not meet specifications for non-industrial use, used horse bedding pellets exhibited greater suitability for industrial applications.
Volume 2, Issue 1 (3-2014)
Abstract
Water quality is a serious issue in tropical grasslands that must be addressed to ensure the continuity and sustainability of water resources. This study aimed to assess the stream water quality of tropical grassland under long-term moderate (2.7 animal unit ha-1 y-1 for 34 years) and short-term heavy (5 animal unit ha-1 y-1 for 2 years) grazing systems at catchment and farm scales in Kuala Lumpur, Malaysia. Water samples were collected in the streams of both grazed and ungrazed grasslands monthly throughout the year. Samples were analyzed forpH, EC, DO, NH3-N, COD, TSS, BOD5, fecal coliform (FC) and E. coli. Harkins’ index was used to classify stream water quality status. Mean values of NH3 and FC were similar amongst the streams in both catchment and farm (P>0.05). Mean values of TSS, COD, BOD and pH of streams in grazed grassland were higher than those in streams of ungrazed grassland in both catchment and farm (P<0.05). DO concentration was similar amongst the streams in the catchment or farm(P>0.05). Water quality of the streams in grazed grassland wasclassified as class II, however, the streams in ungrazed grassland had water quality of class I in the catchment. Water quality was not affected by short-term heavy grazing in farm scale. The negative impact of grazing on water quality was prominent in long-term moderately grazed grasslands than short-term heavily grazed grassland.
Volume 2, Issue 1 (1-2017)
Abstract
Work-related Musculoskeletal Disorders (WMD) are a common health related problem throughout the world. The aim of this study was to evaluate the effect of hydrotherapy training on health, function, motion, and occupational performance of the police personnel in Iran.
In this before/after prospective study, 30 participants were selected purposefully and divided into two experimental (n = 15) and control groups randomly (n = 15). The 8-week hydrotherapy training program was just assigned for intervention. The occupational performance and physical fitness tests, Health related Quality of Life (HRQoL) questionnaire and Visual analog Scale (VAS) were measured for both groups before and after intervention. data were analyzed through SPSS 16
Nematollah Mahmoudi, Mohammadreza Ahmadi, Manochehr Babanezhad, Jafar Seyfabadi, Aboulghasem Roohi,
Volume 2, Issue 2 (9-2013)
Volume 2, Issue 2 (9-2013)
Abstract
Factors affecting the spatial variations of water quality of the Mazandaran coastal ecosystem was determined in summer 2012. For this purpose, water quality parameters (nutrients, temperature, conductivity, salinity, dissolved oxygen, pH, chlorophyll α and turbidity) were evaluated along 4 transects (Amirabad, Babolsar, Noshahr and Ramsar) in the depths of 5, 10, 20 and 50m, using multivariate analysis methods. Based on the cluster analysis of data, the sampling sites could be classified into 5 distinct groups, including 35-50m water layer of station 50m in all transects, 0-5m layer in station 5m in all transects, Ramsar transect and the majority of surface and bottom layers of 3 transects including Noshahr, Babolsar and Amirabad. Based on discriminant analysis, 86.40% of the sampling sites were correctly classified. Factor analysis explained 87.53% of the total variance, the five principal components of which (viz. temperature, turbidity, nitrate, silica and ammonium) were considered as the most effective parameters on the spatial variation of water quality. This study suggests that the number of sampling locations can be reduced to two transects. Thermocline, transport of nutrients (specially phosphorus and ammonium) from rivers, sea floor, cage culture and the ctenophore, M. leidyi, were the most effective sources on spatial variations of water quality. Moreover, the multivariate statistical methods were found to be useful tools to recognize the spatial variations pattern along the Mazandaran coasts in summer.
Volume 2, Issue 2 (6-2014)
Abstract
The objective of this study was to classify the Shoosh Aquifer to several zones with different water quality in Khuzestan Province, Iran. In this regard, the performance of classification methods (Discriminant function and Cluster analysis) for the classification of groundwater based on the level of pollution with an emphasis on the problem of over-fitting in training data were considered. An over-fitted model will generally have poor predictiveperformance, as it can exaggerate minor fluctuations in the data. Cluster Analysis(CA) was adopted to spatially explain the similarity of sampling stations with respect to measured parameters. Three methods for variable selection were used including regularized discriminant analysis, principal component analysis and Wilks's lambda method. The best algorithm for variable selection was Wilks'lambda which resulted in reducing the generalization error of the test sample to 0.1 for leave-one-out and 4-fold cross-validation. The second best performed algorithm was regularized discriminant function with 0.167 and 0.133 misclassification error for the two above-mentioned methods, respectively. Principal component analysis did not proved to be a promising algorithm for variable selection in the classification methods.
Volume 2, Issue 2 (9-2021)
Abstract
Today, with the increase of population and the uncontrolled growth of cities and the advancement of technology and the consequent destruction of the environment, the living conditions of many living beings have become difficult, which has caused man to move away from nature and lack comfort and tranquility; Biophilic design by facilitating and improving the quality of human communication with nature around it, using global sustainable design strategies tries to control environmental degradation to environments with improved social and cultural conditions, along with creating the ability to understand and process and benefit from past experiences. Create to ultimately improve the quality of urban life. In his extensive research, Professor Beatle has identified Oslo as an ideal city for biophilic urban planning. For this purpose, in this research, by considering this city as a model and adapting this city with Moallem Boulevard in Ramsar city in order to improve the condition of the boulevard in terms of biophilic urban planning, the present article tries based on descriptive-analytical method and To evaluate the measurements qualitatively and by describing, analyzing and interpreting the contents, to provide effective solutions on improving the quality of the environment with the approach of environmental perception in biophilic urban design.The results show that Moallem Boulevard in Ramsar has the potential to achieve biophilic urban design based on a comparative study with the city of Oslo, and by using the components of environmental perception and biophilic design, proposes plans to improve the quality of citizenschr('39') environment And created visitors.
, Seyed Vali Hosseini,
Volume 2, Issue 4 (3-2014)
Volume 2, Issue 4 (3-2014)
Abstract
Quality deterioration of fish as the result of disintegration of proteins, even under chill storage, yields peptides and amino acids, which make the quality susceptible to further degradation as the result of bacterial conversion of these amino acids into hazardous biogenic amines (BAs). In this study, six biogenic amines (putrescine, cadaverine, spermidine, spermine, histamine and tyramine) in 16 days ice stored common carp (Cyprinus carpio) were evaluated at 5 intervals (0, 4, 8, 12 and 16 days). Higher levels of putrescine and cadaverine were detected at all intervals, indicating they can be good markers to determine the carp quality. Spermidine and spermine levels fluctuated during the storage and the levels of dangerous histamine and tyramine were too low to raise any concern.
Volume 2, Issue 4 (4-2021)
Abstract
Abstract
Aims: This study aimed to identify and rank the affective components of improving the quality of the urban landscape and sustainable design in the city of Pardis.
Methods: This research is based on descriptive and analytical research methods, citing internal and external library resources, and distribution of questionnaires, and also has a quantitative and qualitative approach. The statistical population of the study was urban landscape and urban design experts in the city of Pardis. Processing the collected data from descriptive statistics and ranking of components with the help of 5 Likert spectra in EXCEL software and using fuzzy TOPSIS has been done.
Findings: Due to the importance of improving the quality of the clean urban landscape, the ranking of components with the help of the 5 Likert scale showed that the criteria: functional-service, environmental, semantic-perceptual, physical-structural, cultural-social, aesthetic, economics Urban, and urban environment with a similarity index of 0.577, 0.567, 0.55, 0.509, 0.503, 0.489, 0.33 and 0.31, respectively, the most important to the least important criteria in the amount Improve the quality level of the landscape.
Conclusion: The results of the study according to the experts in the questionnaire showed that based on the similarity index of ranking the components of landscape quality improvement based on sustainable design in the city of Pardis is very important, so the distance to the ideal is significant and for Achieving the desired quality, the need for attention and coherent use of factors in the urban environment can be considered.
Aims: This study aimed to identify and rank the affective components of improving the quality of the urban landscape and sustainable design in the city of Pardis.
Methods: This research is based on descriptive and analytical research methods, citing internal and external library resources, and distribution of questionnaires, and also has a quantitative and qualitative approach. The statistical population of the study was urban landscape and urban design experts in the city of Pardis. Processing the collected data from descriptive statistics and ranking of components with the help of 5 Likert spectra in EXCEL software and using fuzzy TOPSIS has been done.
Findings: Due to the importance of improving the quality of the clean urban landscape, the ranking of components with the help of the 5 Likert scale showed that the criteria: functional-service, environmental, semantic-perceptual, physical-structural, cultural-social, aesthetic, economics Urban, and urban environment with a similarity index of 0.577, 0.567, 0.55, 0.509, 0.503, 0.489, 0.33 and 0.31, respectively, the most important to the least important criteria in the amount Improve the quality level of the landscape.
Conclusion: The results of the study according to the experts in the questionnaire showed that based on the similarity index of ranking the components of landscape quality improvement based on sustainable design in the city of Pardis is very important, so the distance to the ideal is significant and for Achieving the desired quality, the need for attention and coherent use of factors in the urban environment can be considered.
Volume 2, Issue 5 (3-2021)
Abstract
This study aimed to investigate the mediating role of job satisfaction in the relationship between social capital and quality of work-life (Case study: physical education teachers in Mazandaran province). The research is a descriptive survey of correlational type in terms of applied purpose and data collection. The statistical population of this study was 1350 physical education teachers in Mazandaran province that 302 people were selected as a sample using a simple random sampling method. Standard questionnaires of social capital, job satisfaction, and quality of work-life were used to collect data. The Pearson correlation test and model fit of fit indices using SPSS software version 24 and Amos software version 24 was used for data analysis. Data analysis showed that the relationship between social capital and job satisfaction with path coefficient (β = 0.69) has a significant positive effect and job satisfaction has a positive and significant effect on the quality of life with path coefficient (β = 0.28) and capital Social through the mediating variable of job satisfaction has a significant positive effect on the quality of life. Therefore, it can be said that if the social capital of employees increases, their job satisfaction will also increase. This process ultimately increases people's productivity and can help strengthen the quality of teachers' working lives.