Abou-Elhagag A. Hermas, Abobakr Mohamed Elnady and Reham M. Ali
Although stainless steel (SS) has good corrosion resistance in most aqueous solutions, it suffers corrosion in some solutions which contain aggressive ions such as sulfide ions…
Abstract
Purpose
Although stainless steel (SS) has good corrosion resistance in most aqueous solutions, it suffers corrosion in some solutions which contain aggressive ions such as sulfide ions. This study aims to use some cephalosporins (cefotaxime, cephapirin and cefazolin) as corrosion inhibitors of commercial SS in 0.5 M H2SO4 solution containing sulfide ions at 30°C.
Design/methodology/approach
The study was carried out using weight loss method, potential-time, linear polarization, potentiodynamic polarization, electrochemical impedance measurements, scanning electron microscopy, Fourier transform infrared and energy dispersive X-ray analysis.
Findings
The presence of the cephalosporin compound in the corrosive medium shifted the corrosion potential of SS to much positive side, which enhances self-passivation of SS, and the shifting increased with increasing inhibitor concentration. The cephalosporin compounds worked as effective inhibitors with mainly anodic and the efficiency increase as cefotaxime < cephapirin < cefazolin. The inhibitors form a protective adsorbed layer, which enriches the surface content of Ni and Cr and thus assists the SS to be passive.
Originality/value
The antibiotics cephalosporins could be used as effective corrosion inhibitors for SS in acidic solutions containing sulfide ions. The inhibitors enhances the the passive oxide film of SS even in presence of aggressive ions such as sulfide ions.
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Rajasshrie Pillai, Brijesh Sivathanu, Bhimaraya Metri and Neeraj Kaushik
The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning…
Abstract
Purpose
The purpose of this paper is to investigate students' adoption intention (ADI) and actual usage (ATU) of artificial intelligence (AI)-based teacher bots (T-bots) for learning using technology adoption model (TAM) and context-specific variables.
Design/methodology/approach
A mixed-method design is used wherein the quantitative and qualitative approaches were used to explore the adoption of T-bots for learning. Overall, 45 principals/directors/deans/professors were interviewed and NVivo 8.0 was used for interview data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique.
Findings
The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness, personalization, interactivity, perceived trust, anthropomorphism and perceived intelligence. The ADI influences the ATU of T-bots, and its relationship is negatively moderated by stickiness to learn from human teachers in the classroom. It comprehends the insights of senior authorities of the higher education institutions in India toward the adoption of T-bots.
Practical implications
The research provides distinctive insights for principals, directors and professors in higher education institutes to understand the factors affecting the students' behavioral intention and use of T-bots. The developers and designers of T-bots need to ensure that T-bots are more interactive, provide personalized information to students and ensure the anthropomorphic characteristics of T-bots. The education policymakers can also comprehend the factors of T-bot adoption for developing the policies related to T-bots and their implications in education.
Originality/value
T-bot is a new disruptive technology in the education sector, and this is the first step in exploring the adoption factors. The TAM model is extended with context-specific factors related to T-bot technology to offer a comprehensive explanatory power to the proposed model. The research outcome provides the unique antecedents of the adoption of T-bots.
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Akram M. Mohammed, Ayman Mohammed El-Anany, Sami A. Althwab, Raghad M. Alhomaid, Hend F. Alharbi, Reham M. ALgheshairy and Rehab F.M. Ali
The purpose of this current investigation is to evaluate the effect of adding different levels of cheeseweed Malva parviflora L. mallow leaves powder (MPLP) on the nutritional and…
Abstract
Purpose
The purpose of this current investigation is to evaluate the effect of adding different levels of cheeseweed Malva parviflora L. mallow leaves powder (MPLP) on the nutritional and quality characteristics of bread.
Design/methodology/approach
Wheat flour was partially replaced with MPLP at 0%, 1%, 2%, 3%, 4% and 5% levels to obtain the wheat– MPLP composite flour. Chemical composition, phenolics, flavonoids and antioxidant activity by 2,2-diphenyl-1-picrylhydrazyl of wheat flour and MPLP were determined. Physicochemical and sensory characteristics of bread enriched with various levels of MPLP were evaluated.
Findings
MPLP contains 23.9% of protein, 10.1% of crude fiber and 9.8% of ash, respectively. MPLP had a significantly higher concentration of micronutrients than wheat flour. The content of total phenolics, flavonoids as well as free radical scavenging activity of MPLP were 17.6, 38.2 and 6.0 fold, respectively, higher compared to wheat flour. Protein content in bread samples increased with the addition of the MPLP in a range of 1.2%–6.6%. The increasing replacement of MPLP in the composite flours resulted in progressively higher dietary fiber and ash contents for fortified bread samples. The higher level of MPLP reduced the specific volume of fortified breads. The highest scores for the sensory attributes were noted for bread samples fortified with 2% and 3% of MPLP, whereas the lowest scores for bread samples fortified with 4% and 5% MPLP.
Research limitations/implications
Supplementation of wheat bread with different levels of MPLP resulted in significant increases in macro and microelements of fortified breads.
Originality/value
Supplementation of wheat bread with different levels of cheeseweed Mallow (Malva parviflora L.) leaves powder resulted in significant increases in macro and microelements of fortified breads.
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Ayman El-Anany, Rehab F.M. Ali, Mona S. Almujaydil, Reham M. ALgheshairy, Raghad Alhomaid and Hend F. Alharbi
This study aims to evaluate the nutrient content and acceptable qualities of plant-based burger patties (PBBP) formulated with chickpea flour, defatted sesame cake (DSC) flour…
Abstract
Purpose
This study aims to evaluate the nutrient content and acceptable qualities of plant-based burger patties (PBBP) formulated with chickpea flour, defatted sesame cake (DSC) flour, coffee silver skin and pomegranate juice as colorant.
Design/methodology/approach
The chemical composition, energy value, cholesterol content, amino acid composition, cooking loss, pH, color characteristics and sensory attributes of PBBP were analyzed using official procedures and compared to beef burger.
Findings
PBBP had a protein value of 16.0 g/100g, which is nearly close to the protein content of the beef burger (18.1 g/100g). The fat content of the PBBP was approximately three times lower than that of the beef burger. The fiber content in PBBP was approximately 23 times as high as that in beef burgers samples (p = 0.05). The raw PBBP samples supplies 178 Kcal/100g, whereas beef burger possessed 259 Kcal/100g. Neither the raw nor the cooked PBBP samples contained any cholesterol. Both the beef and PBBP displayed acceptability scores higher than 7.0, which suggests that PBBP was well accepted.
Originality/value
It is concluded that the PBBP sample exhibited a protein value of 16.0 g/100g, which is comparable to the protein level of beef burgers (18.1 g/100g). The fat level of the PBBP samples was significantly lower than that of the beef burger samples. Uncooked PBBP samples contained significantly higher fiber content compared to beef burger samples. No cholesterol was found in raw or cooked PBBP samples. Overall acceptance scores for both beef and PBBP samples exceeded 7.0, suggesting that the proposed product (PBBP) was received favorably.
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Rana M. Zaki and Reham I. Elseidi
The aim of this research is to explore how religiosity (RG) could influence the Islamic apparel brand personality (IABP) dimensions, and to determine the degree to which IABP…
Abstract
Purpose
The aim of this research is to explore how religiosity (RG) could influence the Islamic apparel brand personality (IABP) dimensions, and to determine the degree to which IABP, attitude (ATT), subjective norms (SN) and purchase intention (PI) are influenced by RG. In addition, this research attempts to investigate the significant relationship between IABP and the components of the theory of planned behavior in the apparel industry in Egypt.
Design/methodology/approach
This research adopts a quantitative research method to provide insights relating to relationships between variables. The research data were collected through a conducted survey of Muslim females in Egypt. A convenience nonprobability sampling technique for data collection was used. To achieve the research purposes, confirmatory factor analyses, reliability and validity tests and structural equation modeling were adopted.
Findings
The research results show that RG has a positive significant relationship with ATT, SN and PI of Islamic apparel. Moreover, it was that only ATT has a positive significant influence over the PI of Islamic apparel unlike SN and Perceived behavioral control (PBC). Results also found that there is a positive relationship between IABP with ATT and SN. However, the relationship between RG and IABP was not statistically supported.
Practical implications
The research provides practical implications for brand managers, designers and producers in the Islamic apparel sector on how to increase PIs by extending IABP as well as for Egyptian policymakers. The practical implications include the possible approaches that stakeholders of Islamic apparel brands need to address while promoting, and this will influence marketing strategies in general and branding specifically.
Originality/value
This study extends our understanding of consumers’ Islamic apparel purchasing intentions using TPB to determine its rationale. Unlike other studies, this study operated RG and IABP to assess their influence on Islamic apparel PI in Egypt.
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Reham Tarek Alnounou, Rawan Ahmed Asiri, Sara Ayman Alhindi, Layan Marwan Shams, Sadia Samar Ali and Eren Özceylan
Saudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a…
Abstract
Purpose
Saudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a market leader producing high-quality dairy products in the Kingdom and is a pioneer in the production industry. The company has recently increased the capacity of its milk factory to meet its vision. An investment was made to automate the pallet handling procedures at the milk factory to provide increased production for daily consumption. The new automation transition in Company ER's milk factory provides a unique opportunity to utilize lean management tools to improve the current automated processes before commercialization.
Design/methodology/approach
OEE (overall equipment effectiveness) will monitor losses for different operational losses in the new automated system and indicate system improvements, with 85% as the target. Based on DMADV (design, measure, analyze, design and validate) methodology, this study analyzes the entire automated pallet handling system. It uses lean tools to identify areas for improvement, identify waste elements and propose solutions to achieve Company ER's OEE targets.
Findings
In this paper, the outcomes will be presented as documented solutions that address the losses encountered in the production system, showing a 12.8% increase in the system's OEE.
Research limitations/implications
Owing the time and resource constraint, this study only involved automated pallet handling procedures in a milk production facility. Hence, the generalization of the result is slightly limited. More studies in several different processes and sectors are required.
Practical implications
This study provided a valuable tool for researchers for gaining deeper understanding regarding the lean manufacturing and its implementation. For practitioners, it is useful to evaluate the degree of lean manufacturing tools in their material handling systems.
Originality/value
This study is the first attempt to develop lean manufacturing constructs for evaluating the automated pallet handling procedures in a milk production facility.
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Rana M. Zaki, Amr Kheir El Din and Reham I. Elseidi
The Islamic modest fashion industry is growing rapidly and becoming more competitive within an increasing number of brands available in the market. Based on this reason, both…
Abstract
Purpose
The Islamic modest fashion industry is growing rapidly and becoming more competitive within an increasing number of brands available in the market. Based on this reason, both marketers and designers need to create differentiation in their brands. One of the ways to create such differentiation is by establishing a brand personality. Thus, the purpose of this study is to develop a reliable measure of Islamic apparel personality that incorporates the relevant dimensions/traits Muslim females attribute to their apparel.
Design/methodology/approach
Islamic apparel brand personality model was developed based on the Qur’an verses, hadith (sayings of Prophet Muhammad), traits in Aaker’s and other Islamic brand personality models. Focus groups were used to generate a list of traits. Following this, a survey research method was used to gather data. Then, exploratory and confirmatory factor analyses were conducted on a sample of 190 Egyptian Muslim females.
Findings
This study introduces five dimensions of the Islamic apparel brand personality model, namely, simplicity, feminine, modesty, Islamic and righteousness.
Practical implications
This study contributes to the branding as well as Islamic apparel marketing literature as it is the first Islamic apparel brand personality framework. With the Islamic apparel brand personality model, Islamic apparel designers, producers and marketers can create a strong brand image, use advertising strategies effectively and ultimately attract more potential consumers.
Originality/value
The Islamic apparel brand personality model being the first of its kind is significant for the Islamic apparel industry. It reflects dimensions that are supported by the Quran and hadith and therefore suits the Muslim customer market.
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Tawseef Ayoub Shaikh and Rashid Ali
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing…
Abstract
Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.