Optimum management of time as an important practice for boosting productivity in organizations

Starting point of obtaining skills in time management is individually different .Most people think they can get better than what they are with the help of time management. The best opportunities or the worst ones usually occur at unexpected time which we might not be ready for. Here, the question is "what is time management?" It can be said it is the best use of seconds and opportunities one faces .Therefore, in this paper, efforts has been done to provide practical ways so as to use the time in an optimum way. By definition, time management is determining main purposes as a first step and writing them down on a paper followed by next and main step: regular planning as well as hard efforts which finally lead to aims access. However, in the case of absence of one of the mentioned factors, it would be either impossible to realizing aims or you may be exercised lots of expenses leading to no qualitative results

Optimum management of time as an important practice for boosting productivity in organizations

Starting point of obtaining skills in time management is individually different .Most people think they can get better than what they are with the help of time management. The best opportunities or the worst ones usually occur at unexpected time which we might not be ready for. Here, the question is "what is time management?" It can be said it is the best use of seconds and opportunities one faces .Therefore, in this paper, efforts has been done to provide practical ways so as to use the time in an optimum way. By definition, time management is determining main purposes as a first step and writing them down on a paper followed by next and main step: regular planning as well as hard efforts which finally lead to aims access. However, in the case of absence of one of the mentioned factors, it would be either impossible to realizing aims or you may be exercised lots of expenses leading to no qualitative results

Evaluation of mercury contamination in soils of industrial estates of Arak city

Background and Aims: Mercury is generally considered one of the most toxic heavy metals that rapid industrial development and industry uses of mercury cause accumulation of mercury in soil. The purpose of this study was to investigate the concentration and degree of mercury pollution in topsoil of three major industrial estates of Arak city.Materials and Methods: In this study three estates was investigated. Soil samples were collected from thedepth of 0 to 20 cm . 22 samples were taken and analyzed. Mercury concentrations in soil samples were determined by Advanced Mercury Analyzer (Model; Leco, AMA 254).Results: The mercury concentrations in soil samples range from 68.43 to 137.03 μg/ kg for soils, with a mean value of 102.07 μg/ kg. Means comparison showed significant difference among industrial town 2 with other industrial towns .Also there was no significant correlation between soil pH and Hg concentration.Conclusion: The result of this research showed that: Compared to earth crust, surface soils in industrial towns had higher mercury concentrations, but compared to other soils around the world, it did not show high levels of mercury and it seems that most of the sources of mercury pollution are natural. Despite the concentration of total Hg in soils are not acute, however the planning for emission control of this metal and other pollutants, with application of green plants purification technology should be considered seriously.Key words: Mercury, Soil, Industrial estate, Arak cit

Optimization of Nonlinear Parameters of Muskingum NL5 model With SHO algorithm

The Muskingum method was first developed by U.S. Army engineers to study flood control in the Muskingum River Basin in Ohio. To evaluate the performance of the SHO algorithm, the results of its implementation have been compared with other basic algorithms such as GA and ICA. The coding of SHO, GA and ICA algorithms was done in the MATLAB (R2018b) software programming section. The results showed that the statistical parameters obtained for the river studied by SHO algorithm in two nonlinear models of Muskingum indicate the proper performance of these algorithms in estimating the optimal values ​​of nonlinear masking modeling parameters in flood detection compared to other algorithms

An Investigation of Cultural Components in Arabic Translation of “Kharidare Eshgh” According Newmark’s Theory

Cultural elements as major parts of texts play an important role in conveying the main concepts to the readers. Understanding these concepts is the main concern of translators of different scripts. Therefore, a translator can convey not only the meaning of the text but also the sentiments of the author to the readers using cultural synonyms. To this end, in this paper, we analyze the “Kharidar Eshgh” novel by Mohammad Ali Behzad Rad using the cultural pattern of Mark Newman. Moreover, we investigate how a translator deals with cultural elements and how he/she approaches finding the equivalent of cultural expression in Arabic and Persian language. We use a descriptive-analytical method in our research and we show that the translator of this novel has concentrated more on interpreting the meaning of text rather than conveying the author’s sentiments and feelings. Hence, word-by-word translation in some cases led to the ambiguity of translation. Furthermore, the actual meaning of expressions and metaphors have not been apprehended properly and inappropriate synonyms for words have been chosen. Among cultural components in this novel, cultural contents, proverbs, and ecology have the highest frequency, respectively

Designing a Conceptual Model of Research Problem Finding Using Meta-Synthesis Method

The purpose of this paper was to foster a better understanding of research problem finding by integrating the qualitative and quantitative findings of prior research under a conceptual model. It reviews key findings, themes and ideas from selected published academic papers on research problem finding, with a specific focus on what factors affecting problem finding. This article has conducted a meta-synthesis approach by adopting “Sandelowski and Barroso's” seven-step method to investigate what the features of research problem finding are, through interpretation of previous documents. The author conducted a literature review of all documents available in online databases that contained the word “problem finding” in either the title, abstract and/or keywords and with a discussion of problem finding in the main text. In total, 38 scientific documents were analyzed in order to create a meta-synthesis of the primary findings. This process revealed 138 codes, 24 themes and 4 categories that outline issues related to the research problem finding. Personality feature; psychological feature; thinking feature (creative thinking and critical thinking); and educational feature were the components of the conceptual model. Based on available data, this study is the first of its kind that has identified the features of research problem finding in four aspects. In addition, the number of factors identified in this study is greater and more comprehensive than that of any previous research. This study has also proposed a conceptual model and utilized a meta-synthesis approach that has never been conducted to date in the field of problem finding

Data onFe(II)biosorptiononto Sargassum hystrix algae obtainedfromthePersianGulfinBushehr Port, Iran

In thisarticle,weused Sargassum hystrix algae asbiosorbentfor removalofFe(II)fromaqueoussolutionsthatwascollectedalong the PersianGulfcoastline,Bushehr,Iran.Theconcentrationlevelof remaining Fe(II)inthesampleswasmeasuredbyusing flame atomic absorptionspectrometry(FAAS,VarianAA240,Australia). The isotherms,kineticsandmodelingdataofFe(II)biosorption onto Sargassum hystrix werealsopresented

EXPERIMENTAL STUDIES ON CONGO RED ADSORPTION BY TEA WASTE IN THE PRESENCE OF SILICA AND Fe2O3 NANOPARTICLES

In this work, the adsorption of the anionic dye, Congo red (CR), from aqueous solution by using tea waste (TW) has been carried out at 30 °C. The equilibrium sorption isotherms and kinetics were investigated. The equilibrium adsorption was studied by the Langmuir and Freundlich models of adsorption. The experimental results manifested that the Langmuir isotherm was the best model for the adsorption of CR by TW and implied the monolayer adsorption of CR on TW with the adsorption capacity of 40.6 mg/g at 30 °C. The kinetic data resulted from batch experiments were analyzed using pseudo-first-order and pseudo-second-order models. It was found that pseudo-second-order model provided the best fit for the experimental data (R2>0.99). The results illustrated that both silica and Fe2O3 nanoparticles increased the adsorption of CR on TW by about 5% and 10% at 30 °C, respectively. The results suggested that TW should be a potential low-cost adsorbent for the removal of CR from aqueous solution

Wet deposition of hydrocarbons in the city of Tehran-Iran

Air pollution in the city of Tehran has been a major problem for the past three decades. The direct effects of hydrocarbon contaminants in the air are particularly important such as their carcinogenic, mutagenic, and teratogenic effects which can be transported to other environments via dry and wet deposition. In the present study, rainwater samples were collected and analyzed for 16 polycyclic aromatic hydrocarbons (PAHs), benzene, toluene, ethyl benzene, and xylene (BTEX) as well as fuel fingerprints in two ranges of gasoline (C5–C11) and diesel fuel (C12–C20) using a gas chromatograph equipped with a flame ionization detector (GC/FID). Mean concentrations of ∑16 PAHs varied between 372 and 527 µg/L and for BTEX was between 87 and 188 µg/L with maximum of 36 µg/L for toluene. Both gasoline range hydrocarbons (GRH) and diesel range hydrocarbons (DRH) were also present in the collected rainwater at concentrations of 190 and 950 µg/L, respectively. Hydrocarbon transports from air to soil were determined in this wet deposition. Average hydrocarbon transportation for ∑PAHs, BTEX, GRH, and DRH was 2,747, 627, 1,152, and 5,733 µg/m2, respectively

<b>Predicting Corona Stress Based on Cognitive Distortions and Basic Psychological Needs in a Sample of Iranian Women</b>

Cognitive distortions and basic psychological needs play a significant role in the prediction and etiology of psychological injuries (Beck & Alford, 1967; Ryan, Deci, Grolnick, & LaGuardia, 2015). Therefore; a current research was conducted with the aim of investigating the role of cognitive distortions and basic psychological needs in predicting stress caused by the coronavirus pandemic in a sample of Iranian women. The method of conducting this research was descriptive-correlation. All female students of Tehran constituted the statistical population of this study. Using the available sampling method; 203 female students of the Islamic Azad University, Central Tehran Branch, were selected and completed online of cognitive distortions questionnaire (Abdollahzade & Salar, 2010), Activity-Feeling States Scale (Reeve & Sickenius, 1994) and the stress subscale of the DASS-21 questionnaire (Lovibond & Lovibond, 1995). To check the correlation between research variables, Pearson's correlation coefficient was used, and to check the role of cognitive distortions and basic psychological needs in predicting corona stress, standard multivariate regression analysis and structural equation modeling were used. The results showed that cognitive distortions and basic psychological needs can predict women's corona stress. In other words: satisfying basic psychological needs and transforming cognitive distortions into a more rational way of thinking act as mechanisms through which the stress caused by the coronavirus pandemic can be reduced in women. Despite the limitations; the findings of this study can be useful for national health decision makers and mental health professionals during pandemics, as well as for people suffering from Corona stress.</p