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This paper aims to focus on the absorption behaviour of single and binary mixtures of natural dyes on wool. Natural dyes are multi-components with different structures and properties.

In this research, the absorption behaviour of single and binary mixtures of natural dyes was investigated on wool fibre. Study was conducted via some natural dyes, including pomegranate peel as a yellow natural dye with tannin, weld as a yellow natural dye without tannin and madder as a red natural dye without tannin. Applied mordant was alum, which was used in the pre-mordant method. Different shades were obtained by varying dye concentration in the binary mixture. The effect of tannin on absorption behaviour of binary mixture of natural dyes was investigated by spectral reflectance and colour parameters of dyed samples measurements.

Obtained results indicate that tannin affects the absorption behaviour of natural dyes in binary mixtures.

Because natural dyes are multi-components with different structure and properties, the study of compatibility and absorption behaviour of natural dyes in binary mixture on wool is important in applied researches.

The study of compatibility and absorption behaviour of binary mixture of natural dyes on wool is novel.

Although the pathogenesis of stroke is not yet completely elucidated, factors such as oxidative stress and inflammation have been shown to play an important role in this regard. The purpose of this paper is to investigate the effects of whey protein plus lipoic acid on the inflammatory and oxidative stress markers and the prognosis in acute ischemic stroke (AIS) patients.

A double-blind, randomized controlled clinical trial was conducted among 42 patients with the first episode of AIS at the Imam Reza Hospital of the Tabriz University of Medical Sciences. The blind research staff randomly assigned patients to two groups of receiving usual hospital gavage (control group) and 1,200 mg of lipoic acid plus 20 g of whey protein in addition to usual hospital gavage (intervention group) for midday meal. Levels of albumin, Interleukin-6 (IL-6), tumor necrosis factor (TNF-α), high-sensitivity C-reactive protein (hs-CRP) and clinical outcomes including severity of neurologic damage according to National Institutes of Health Stroke Scale (NIHSS) and functional state based on modified Rankin Scale (mRS) were evaluated initially and three weeks later.

There were no significant differences in demographic and baseline characteristics between the two groups (p > 0.05). After three weeks, hs-CRP (p <* 0.01), IL-6 (p = 0.02) and TNF-α (p = 0.01) levels significantly reduced in the intervention group, but no significant changes were observed in cases of albumin, malondialdehyde (MDA) and total antioxidant capacity (TAC) in this group (p > 0.05). Instead, only IL-6 decreased significantly in the control group (p <* 0.01). In addition, comparing changes of assessed variables between two groups showed no significant improvement in the whey protein plus lipoic acid supplementation group vs the control group (p > 0.05). While there was significant betterment in clinical prognosis parameters within groups, no significant changes were found between groups.

The investigation implied that whey protein plus lipoic acid supplementation has no significant effects on inflammatory and oxidative stress markers compared to the control group of AIS patients. More studies in this field are needed to approve the result.

A Nash bargaining game data envelopment analysis (NBG-DEA) model is proposed to measure the efficiency of dynamic multi-period network structures. This paper aims to propose NBG-DEA model to measure the performance of decision-making units with complicated network structures.

As the proposed NBG-DEA model is a non-linear mathematical programming, finding its global optimum solution is hard. Therefore, meta-heuristic algorithms are used to solve non-linear optimization problems. Fortunately, the NBG-DEA model optimizes the well-formed problem, so that it can be solved by different non-linear methods including meta-heuristic algorithms. Hence, a meta-heuristic algorithm, called particle swarm optimization (PSO) is proposed to solve the NBG-DEA model in this paper. The case study is Industrial Management Institute (IMI), which is a leading organization in providing consulting management, publication and educational services in Iran. The sub-processes of IMI are considered as players where their pay-off is defined as the efficiency of sub-processes. The network structure of IMI is studied during multiple periods.

The proposed NBG-DEA model is applied to measure the efficiency scores in the IMI case study. The solution found by the PSO algorithm, which is implemented in MATLAB software, is compared with that generated by a classic non-linear method called gradient descent implemented in LINGO software.

The experiments proved that suitable and feasible solutions could be found by solving the NBG-DEA model and shows that PSO algorithm solves this model in reasonable central process unit time.

A growing number of human rights NGOs have placed international volunteers in conflict zones from Guatemala and Colombia to Palestine and Iraq. This study samples from contemporary high-risk transnational activists and highlights the variation in biographical steps taken toward the shared outcome of participation in human rights work (HRW). Data was collected through 6 weeks of participant observation in Israel-Palestine, 21 in-depth interviews, and 28 shorter focused interviews with human rights workers (N=49). Oversampling from the International Solidarity Movement reveals how the unique constraints and opportunities presented by a particular conflict zone and NGO culture impacts self-selection into HRW. Grounded theory and Boolean methodology aided in identifying four main pathways (the nonviolent activist, peace church, anarchist, and solidarity pathways) to HRW as well as biographical patterns and complexities that have been underemphasized in the existing literature. These include the salience of transformative events and attitude changes in the process of constructing a cosmopolitan identity and committing to high-risk transnational activism.

Every society has unique factors that contribute to the selection of marriage partner among young adults. These factors have been found to equally determine marital satisfaction and marital stability. This study focuses on married couples in Nigeria and factors that determined how they transcended from their dating period to marriage.

A total of 19 married couples participated in this study, which involved the use of focus group discussions to elicit data from them. Snowball sampling technique was used to obtain respondents who had similar characteristics.

The respondents were aged between 38 and 50 years, had courted for at least 7 years before marriage, and marriage was not less than 10 years. Data was analyzed using content analysis. Themes bordered on factors determining choice of partner, how they met, length of their dating, and courtship periods. Physical attractiveness, as a determining factor, was clearly evident among participants. Participants agreed that communication was vital to marriage stability.

The study brought to light that in spite of strong traditional values, Nigerians displayed romantic characteristics similar to Western societies such as the United States and the United Kingdom. The study was limited because of the method adopted for selecting participants. Also, some variables such as ethnic background and educational background were not included in the study. The study recommends future studies which may be longitudinal, involving couples’ personality traits, families of origin, and so on, in order to yield more salient issues.

The external confinement provided by the fiber-reinforced polymer (FRP) sheets leads to an improvement in the axial compressive strength (CS) and strain of reinforced concrete structural members. Many studies have proposed analytical models to predict the axial CS of concrete structural members, but the predictions for the axial compressive strain still need more investigation because the previous strain models are not accurate enough. Moreover, the previous strain models were proposed using small and noisy databases using simple modeling techniques. Therefore, a rigorous approach is needed to propose a more accurate strain model and compare its predictions with the previous models.

The present work has endeavored to propose strain models for FRP-confined concrete members using three different techniques: analytical modeling, artificial neural network (ANN) modeling and finite element analysis (FEA) modeling based on a large database consisting of 570 sample points.

The assessment of the previous models using some statistical parameters revealed that the estimates of the newly recommended models were more accurate than the previous models. The estimates of the new models were validated using the experimental outcomes of compressive members confined with carbon-fiber-reinforced polymer (CFRP) wraps. The nonlinear FEA of the tested samples was performed using ABAQUS, and its estimates were equated with the calculations of the analytical and ANN models. The relative investigation of the estimates solidly substantiates the accuracy and applicability of the recommended analytical, ANN and FEA models for predicting the axial strain of CFRP-confined concrete compression members.

The research introduces innovative methods for understanding FRP confinement in concrete, presenting new models to estimate axial compressive strains. Utilizing a database of 570 experimental samples, the study employs ANNs and regression analysis to develop these models. Existing models for FRP-confined concrete's axial strains are also assessed using this database. Validation involves testing 18 cylindrical specimens confined with CFRP wraps and FE simulations using a concrete-damaged plastic (CDP) model. A comprehensive comparative analysis compares experimental results with estimates from ANNs, analytical and finite element models (FEMs), offering valuable insights and predictive tools for FRP confinement in concrete.

Due to the Coronavirus 2019 (COVID-19) pandemic, education has been disrupted right from kindergarten to University. Globally, states are advocating for online learning. The COVID-19 pandemic had led to the closure of universities and it was not clear how long this would last. e-Learning was crucial. Lecturers were asked to complete their syllabuses and continue to teach and administer tests remotely. So far, there is a dearth of information on how Kenya’s higher education responded to the pandemic through online learning. This qualitative study utilized online platforms (zoom and Skype) for interviews. This study employed a constructivist approach to explore the faculty officials’ perception of online learning in Kenya’s institutions of higher education. Approximately 45 faculty officials from public universities were involved in this study. The study was carried out in three public universities in Western Kenya. The participants argued that online education was beneficial and primarily promoted online research and enabled them to connect with other practitioners in the global community. There were challenges associated with online learning for instance unreliable internet. This study’s results are hoped to inform the ministry of education and higher learning policies on making online effective and efficient to both the students and the lecturers. This will also be a fairer spring-ball for Kenya toward the realization of Vision 2030.

While studies have established the important role of change agents throughout organizational change programs and emphasized the change agents’ impact on outcomes of change efforts, it could be argued that the decision-making procedure for the selection of change agents may also influence the success of organizational change programs in several ways. This research aims to explore and compare the potential influence of a traditional change agent selection procedure with a more systematic and objective approach.

A qualitative case study has been conducted, before and after testing a group decision support system for the selection of change agents in an organization that was on the verge of a major rebranding.

The main findings suggest the importance of objectivity, transparency and attention to competency in the selection procedure for the role, while providing evidence for using a systematic participative decision-support process for the selection of change agents, leading to several desirable organizational outcomes, including improvements in perception of objectivity, trust, transparency, fairness and competency related to the selection process.

Drawing from the previous studies and the presented findings, this study offers evidence on the importance of paying attention to the selection procedure for the change agent role as it could potentially have an influence on the employees across organizations and, consequently, the success of change programs.

In today’s world, one of the most important factors of the country’s economic development is improving the productivity of manufacturing industries. Identifying factors affecting the productivity of manufacturing industries and prioritizing them is effective in promoting productivity and can promise to achieve organizational and national productivity. The purpose of this research is to identify the effective factors in improving the productivity of manufacturing industries.

The present research method is a descriptive-survey and the data collection tool is a questionnaire. In the first step, according to the studies conducted by reviewing the research literature using a comparative method, library studies and asking opinions from experts, potential factors affecting the productivity of industries were identified and analyzed. Then the factors were divided into four main categories, and the selected factors were determined by using a questionnaire and combining the opinions of experts. Then, the importance of the selected factors was determined using the Fuzzy SWARA decision-making method, and the final ranking of the selected industries of the province was done using the MOORA method.

The results of this research showed that the factors “profit margin,” “The ratio of sales on current assets” and “The ratio of exports to sales,” respectively, have the highest importance, among the pharmaceutical and household appliances industries of the province that are present in the stock exchange, Caspian Tamin Company has the highest productivity with a productivity score of 0.437.

Looking at the background of the research, no comprehensive research has been conducted to identify indicators that affect productivity in the manufacturing industry, and only a few studies have evaluated productivity indicators for small, specialized industries. Therefore, in the current research, considering the uncertainty in experts' opinions, a hybrid model is presented to identify and comprehensively evaluate the productivity indicators of manufacturing industries using the decision-making method of Fuzzy SWARA and MOORA, which is unique in its turn.