Search results

Transitional entrepreneurship in distressed economies is a fairly new concept with respect to new ventures in such challenging economic environments. Formal institutional voids are sometimes held up as a reason for the difficulties present in distressed economies, along with exogenous shocks and other upheavals. In this research, the authors seek to contribute empirically and theoretically as to ways in which formal institutions voids can be filled by a culture developed by transitional entrepreneurs. Indeed, in transition economies, formal institutions need to be enhanced by informal institutions to control corruption and other misbehavior by authorities. Iranian economists emphasize these essential reforms to be able to manage current difficulties, yet top down policies cannot help transitional entrepreneurs benefit from the country’s value-adding cultural heritage to informally address this. To study this, qualitative research methods were used to interpret transitional entrepreneurs’ ideology and ethical routines as the ingredients of a commercial culture that can establish soft law that substitutes for formal institutions. This helps to reduce the disfunctionality of formal institutions in distressed economies.

A thematic analysis interviewing key Iranian entrepreneurs and economists is conducted. Also based on an interpretive paradigm, a hermeneutic cycle has been carried out on selected texts. Results have been verified throughout related literature as to come up with a solid synthesized interpreted outcome.

This paper contributes to theory from a new perspective by discussing transitional entrepreneurship and navigating a distressed economy; in which, ideology and ethics as the ingredients of soft law (Newman and Posner, 2018) are discussed as the base to further develop a commercial culture that fills voids of formal institutions. The formal–informal institutional cycle in distressed economies as the major difficulty entrepreneurs face (Peng and Luo, 2000) is important, because they try to increasingly enhance their move toward a market orientation (Bruton et al., 2008). The authors contribute as to how transitional entrepreneurs can complete this process of adaptation and also the fact that those informal institutions do actually respond to those adaptations. The other contribution is to enrich theories about institutions from the point of view of culture. Knowing these facts helps transitional entrepreneurs, because in distressed communities, formal institutions’ function has an important effect on economic performance (Amorós, 2009). This research’s contributions shed light to help government leaders understand the pros and cons of their actions forced on the industry. As it has been characterized in this research, it can turn in to new formal set of legitimacies (Ahlstrom et al., 2008) to root out corruption and help set the economy on a path to innovation and new venture creation.

Transitional entrepreneurs can depend on the less formal cultural-cognitive aspect of ethics and ideology. These entrepreneurs can be working on the burgeoning private sector, who want to connect with the outside effectively to overcome an economy in distress. Transitional entrepreneurs may face governmental institutional intermediaries as a barrier. Formal intermediaries tend to benefit from inefficiencies caused by hierarchal orders and will improve informality in order to overcome difficulties. In this research, institutional theory from the third pillar of the cultural-cognitive sheds light on transitional entrepreneurship in distressed economies, where inquiry is to fill voids of formal institutions as a process of possible linking between new generated soft law derived by beliefs, ideology and professional morality in order to influence (old) legitimacies. The research’s focus evolves on values transitional entrepreneurs utilize to build informal institutions and then impact further on formal institutions to handle distressed communities. This theoretical background expands on subsections to define conceptual building blocks for the study, essential aspects such as individuals as transitional entrepreneurs, the values they utilize to generate soft law, informal institutions and soft law, to manage voids in formal institutions and legitimacy building aspects in policy agenda setting for transitional entrepreneurship in distressed economies.

The COVID-19 pandemic has caused significant mortality and morbidity worldwide. However, the role of dietary patterns as a potential risk factor for COVID-19 has not been well established, especially in studies with large samples. Therefore, this study aims to identify and evaluate the association between major dietary patterns and COVID-19 among adults from Iran.

In this cross-sectional study, the authors included 9,189 participants aged 20–70 who participated in the Yazd Health Study (YaHS) and Taghzieh Mardom-e-Yazd study (TAMIZ). They used factor analysis to extract dietary patterns based on a food frequency questionnaire (FFQ). Then, they assessed the relationship between these dietary patterns and the odds of COVID-19.

This study identified two major dietary patterns: “high protein and high fiber” and “transitional”. Participants in the highest tertile of the “high protein and high fiber” dietary pattern, which included vegetables, fruits, dairy and various kinds of meats such as red meat, fish and poultry, had a lower odds of COVID-19 compared with those in the lowest tertile. However, the “transitional” dietary pattern did not affect the risk of COVID-19.

In conclusion, a “high protein, high fiber” diet may lower the odds of COVID-19. This study suggests that dietary patterns may influence the severity and spread of future similar pandemics.

The purpose of this paper is to analyze zero valent iron nanoparticles (NZVIs) by a novel green method, taken from Thymus vulgaris (TV) plant extract, were synthesized and applied to degrade reactive black 5 (RB5) azo dye.

The optimum conditions for the highest removal of RB5 dye were determined. Characterization of NZVIs was done by scanning electron microscopy (SEM), transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM) and X-ray diffraction (XRD). The NZVIs were used for the removal of dye RB5, and the parameters affecting were discussed like pH, initial concentration, contact time and NZVIs dosage.

The characterization results of NZVIs by SEM, TEM, FTIR and XRD show that polyphenols, organic acids and proteins reduce not only the green synthesis of NZVIs but also the aggregation of nanoparticles. The maximum dye removal efficiency of 99.6 per cent occurred at pH 4, NZVIs dose of 600 mg/L, and contact time of 5 min. The adsorption of RB5 dye onto the NZVIs surface and scavenging of the azo bond (−N = N) by the strong reduction of NZVIs were the proposed mechanisms for dye removal. The application of NZVIs to treat wastewater containing reactive dye shows high degradation efficiency.

The findings may greatly benefit the application of the NZVIs taken from Thymus vulgaris (TV) in the fields of dye adsorption.

The present study is novel because it incorporated the morphological and structural properties of the synthesized NZVIs using a native plant of Iran and studied the capability of green-synthesized NZVIs to remove RB5 as a water contaminant.

The native plant presented here can be developed for reduced environmental pollution before discharge to accepted water.

The NZVIs is prepared via green-synthesized method, which is prepared with leaves of TV. There are two main innovations. One is that the novel NZVIs is prepared successfully by native plant via green-synthesized method. The other is that the optimized conditions were obtained for the removal of RB5 dye as a water contaminant. Furthermore, to the best of our knowledge, no study has ever investigated the removal of RB5 by NZVIs produced using a native plant in Iran.

The concentration of women entrepreneurs on influential events such as the development of green entrepreneurship, which lead to the coordination and dynamic balance between economic and environmental goals, can create a bright future for businesses with sustainable and environmentally friendly architecture. The main purpose of this study is to provide a framework for the successful entry of women entrepreneurs into green entrepreneurship.

The present qualitative applied descriptive-analytical study was conducted on a population of women entrepreneurs working in green businesses. This population was obtained by the non-probability chain sampling method and an exploratory interview with the saturation of 12 individuals. Thematic analysis was used to analyze the findings.

The results revealed that creating shared value, inclusive social acceptance, multifaceted interactions and green dynamic bedding are effective in the entry of women entrepreneurs into green entrepreneurship in the form of “competitive empowerment” and “multiplied green synergy”. Thus, managers and planners should consider some factors, including shared value, social acceptance, inclusive acceptance, building green culture, knowledge flows, multiple participation, networking dimension, green marketing, competitiveness, creating platforms, green technologies and risk management.

This research tries to present a framework for the entry of women entrepreneurs into green entrepreneurship area.

Tall towers have a high potential for being struck by lightning which is a major source of electromagnetic radiation with adverse effects on electric, electronic and telecommunication instruments. The paper aims to present an accurate method for predicting the radiated electromagnetic fields and current distribution along the lightning channel and the tower hit by the lightning.

The electromagnetic model is utilized to model the lightning channel and the tower is represented by lossy conducting wires. The finite difference time domain (FDTD) method is used to solve for the governing Maxwell’s equations. Due to the large computational space, the FDTD code is paralleled between several computer processors. To enhance the efficiency of the code, a non-uniform mesh is used, reducing the mesh length in the air-ground interface. For model evaluation, simulated current distribution along the lightning channel and tower, and the radiated electromagnetic fields are compared with the measurement data and those obtained using the engineering models.

The proposed modeling technique has proved to be more accurate than the conventional methods, particularly in the prediction of current distribution along the tall tower and the vertical component of the radiated electric field.

The main feature of the proposed technique is its ability to consider the impact of metallic structures in a large space around lightning channel on the predicted radiated electromagnetic fields, having no concern on computer memory requirements.

The purpose of this paper is to compare the stability of the three nanocarriers created by DNA origami method with different positions and numbers of crossovers

Nanocarriers are attractive components among a variety of nanostructures created by DNA origami and can have numerous applications in mechanical and medical engineering. For this reason, the current study compares three nanotubes with different positions and numbers of crossovers created by DNA origami method that can be utilized as nanocarriers. To investigate the structures, the DNA nanocarriers are studied at the human body temperature 310 K. Molecular dynamics simulations are used for this study. For a quantitative analysis of DNA nanocarriers, the areas of three hexagons at three different sites in each of the nanotubes are investigated. The results indicate that the number and position of crossovers are among the significant factors in the structure stability of nanocarriers. The analyses also revealed that although adding crossovers in locations with fewer crossovers increase structural stability, the position of crossovers can have different effects on the stability. DNA origami-based nanocarriers can be implemented in drug delivery, allow the nanocargoes to pass various surfaces and act as filters for passing cargoes of different dimensions and chemical structures.

The results indicate that the number and position of crossovers are among the significant factors in the structure stability of nanocarriers

In this paper, the stability of DNA origami nanocarriers with different positions and numbers of crossovers was investigated.

The purpose of this paper is to investigate indexers’ evaluation on the usability of ontology vs thesaurus in representation of concepts and semantic relations. To do so, “searching” category of ASIS&T thesaurus was selected and ASIS&TOnto was built based on it.

The usability examination method is used in order to compare the two semantic tools. Nine indexers were recruited as participants, who were proficient in English language, had experience in using the thesaurus and all had successfully passed the course of “information representation.” They were asked to think aloud while working with the tools and to answer a semi-structured interview. The data gathering was continued until it reached its saturation point.

The results of this study revealed that the definitions and scope notes represented in indexing tools such as thesauri and ontologies have an important role in improvement of indexers’ understanding. On comparing the hierarchical relations, results show that converting the structure of hierarchical relationships of ASIS&T thesaurus can enhance the indexers understanding of them, and also enriching the associative relations of ASIS&T thesaurus can cause indexers to have a better understanding and evaluation of the presented concepts and relations.

This study shares our findings on the usability of ASIS&T thesaurus as a core set of vocabulary for building a “searching” domain as a prototype ontology in the area of library and information science and provides the indexers viewpoints of the two semantic tools in this area.

This paper aims to explore the extent to which the internet has created new opportunities for Iranian women in Tehran. It analyses both challenges and opportunities offered to Iranian women by the internet as a means of economic empowerment.

This paper adopts a qualitative approach and based on 13 semi-structured interviews with female internet users between the ages of 20 and 55 years. The qualitative data was collected through open-ended questions in face-to-face interviews. This study uses ethnography as a research tool to explore the question of whether the internet has made a difference in the economic lives of Iranian women.

Result reveals that the internet and working online have significant impact on the economic lives of Tehrani women by enabling them to engage in new forms of online business. This technology is being used for online advertising to attract more clients, to establish business contacts with peers and to manage households positively.

The result of the research cannot be regarded as applicable to all women in Iran, as the opportunity to access online economic activities is only available to those women who are highly trained and well-educated. In addition, the result of the research may not reflect the barriers that women from different social classes and ethnic groups have faced in the achievement of economic empowerment online.

The study highlights that due to a generally lack of computer proficiency, women in these areas are unable to effectively maximise their participation in the online economic sphere. This barrier must be removed by enhancing women’s computer literacy and ICT (information, communication and technologies) and establishing development networking programme centres for internet skills training.

The internet has created opportunity for Iranian women to expand their participation in the online economic sphere. However, research in the field of online economic activities in Iran, especially concerning women working online, is scant. The key contribution of this paper is to fill the gap in this area of study, in particular offering insights into the ways in which women use the internet to overcome the boundaries of physical space and become empowered.

The purpose of this paper is to analyze nano zero-valent iron (nZVI)-activated carbon/Nickel (nZVI-AC/Ni) by a novel method. The synthesized adsorbent was used to degrade reactive orange 16 (RO 16) azo dye.

The optimum conditions for the highest removal of RO 16 dye were determined. Characterization of nZVI-AC/Ni was done by scanning electron microscopy, Fourier-transform infrared spectroscopy, X-ray diffraction and energy-dispersive X-ray spectroscopy. The nZVI-AC/Ni were used for the removal of dye RO 16 and the parameters affecting were discussed such as pH, adsorbent dosage, contact time and concentration of dye. To investigate the variables and interaction between them, an analysis of variance test was performed.

The characterization results show that the synthesis of nZVI-AC/Ni caused no aggregation of nanoparticles. The maximum dye removal efficiency of 99.45% occurred at pH 4, the adsorbent dosage = 0.1 gL-1 and the dye concentration of 10 mgL-1. Among various algorithms of feed-forward backpropagation neural network, Levenberg–Marquardt with mean square error (MSE) = 9.86 × 10^–22 in layer = 5 and the number of neurons = 9 was selected as the best algorithm. On the other hand, the MSE of the radial basis function model was 0.2159 indicating the good ability of the model to predict the percentage of dye removal.

There are two main innovations. One is that the novel nZVI-AC/Ni was prepared successfully. The other is that the optimized conditions were obtained for the removal of RO 16 dye from an aqueous solution. Furthermore, to the best of the knowledge, no study has ever investigated the removal of RO 16 by nZVI-AC/Ni produced.

A novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the atrial blood pressure, photoplethysmogram (PLETH), electrocardiogram (ECG) and respiratory (RESP) signals are considered as input signals.

Three machine learning approaches feed-forward artificial neural network (ANN), ensemble learning method and k-nearest neighbors searching methods are used to detect the false alarm. The proposed method has been implemented using Arduino and MATLAB/SIMULINK for real-time ICU-arrhythmia patients' monitoring data.

The proposed method detects the false alarm with an accuracy of 99.4 per cent during asystole, 100 per cent during ventricular flutter, 98.5 per cent during ventricular tachycardia, 99.6 per cent during bradycardia and 100 per cent during tachycardia. The proposed framework is adaptive in many scenarios, easy to implement, computationally friendly and highly accurate and robust with overfitting issue.

As ECG signals consisting with PQRST wave, any deviation from the normal pattern may signify some alarming conditions. These deviations can be utilized as input to classifiers for the detection of false alarms; hence, there is no need for other feature extraction techniques. Feed-forward ANN with the Lavenberg–Marquardt algorithm has shown higher rate of convergence than other neural network algorithms which helps provide better accuracy with no overfitting.