Rhona L. Miller‐Cebert, Nahid A. Sistani and Ernst Cebert
The purpose of this paper is to describe how three traditional cruciferous vegetables: cabbage (Brassica oleracea var. capitata), collard greens (Brassica oleracea var. acephala…
Abstract
Purpose
The purpose of this paper is to describe how three traditional cruciferous vegetables: cabbage (Brassica oleracea var. capitata), collard greens (Brassica oleracea var. acephala) and kale (Brassica oleracea var. viridis) were compared to canola greens through sensory analysis to evaluate panelists' acceptance of canola as a potential source of leafy‐green vegetable.
Design/methodology/approach
Canola cultivars were grown at Alabama A&M University, Winfred Thomas Agricultural Research Station, Hazel Green, Alabama, and harvested at the rosette stage. Traditional vegetables (cabbage, collard and kale) were obtained from a local food specialty store. All vegetables were washed and refrigerated overnight. On the day of testing, vegetables were chopped uniformly in preparation for cooking. Using a nine‐point hedonic scale, vegetables were rated for color, flavor and texture. Overall preference was rated using most favorite, second favorite and third favorite.
Findings
Color of prepared canola was preferred significantly over other vegetables. There was no significant difference in preference based on texture among canola, collard greens and kale, however, cabbage was significantly preferred by panelists for texture and flavor. The rating for color and texture indicated significant difference among age groups. Response for texture and flavor showed a linear relationship (r2 of 0.69) for the model: color texture = flavor, while principal component analysis indicated African‐American females, ages 20‐29 as outliers. The results suggest that canola greens have the appeal of being accepted as an additional tasty Brassica vegetable. Originality/value – This research provides new data on canola as a potential new green leafy vegetable, based on consumer preference.
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C. Chellappan and G. Vijayalakshmi
The aim of this study is to demonstrate that hybrid redundancy systems are superior to the conventional N‐modular redundancy (NMR) systems.
Abstract
Purpose
The aim of this study is to demonstrate that hybrid redundancy systems are superior to the conventional N‐modular redundancy (NMR) systems.
Design/methodology/approach
The hybrid redundancy system is a synthesis of the NMR system and the standby redundancy. Each module of the NMR has access to k cold spares (k<N) and a repair facility. A semi‐Markov model for the hybrid redundancy system is developed and transient analysis is performed.
Findings
Some dependability measures such as availability, reliability, mean time to failure and steady‐state availability are obtained.
Originality/value
This paper presents the transient analysis of the hybrid redundancy systems. The results obtained will be useful to reliability engineers and reliability practitioners.
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Karen Desta Agulei, John T. Githaiga, Benson Dulo and Eric Oyondi Nganyi
This study aims to identify the bioactive compounds in the Onion (Allium burdickii [A.B]) bulb using Raman and Fourier transform infrared spectroscopy (FTIR) spectroscopy. It…
Abstract
Purpose
This study aims to identify the bioactive compounds in the Onion (Allium burdickii [A.B]) bulb using Raman and Fourier transform infrared spectroscopy (FTIR) spectroscopy. It assessed the extraction conditions of bioactive compounds from A.B. while evaluating the best extraction conditions.
Design/methodology/approach
The research opted for an experimental qualitative approach. It examined the extraction conditions of A.B., namely, temperature (°C), time (min) and mass-to-liquor ratio (M:R) using ultraviolet-visible spectrophotometry. Identification of bioactive compounds present in the dye was performed using Raman spectroscopy and the validation of the results was done by FTIR spectroscopy.
Findings
The study determined the best extraction conditions (time, temperature, M:R) for A.B bulb. The study confirmed the presence of bioactive compounds.
Research limitations/implications
The limitation was quantification of bioactive compounds in A.B bulb.
Practical implications
The findings prove that the A.B. bulb can provide a sustainable source of bioactive compounds (functionalized compounds). The study provides suitable extraction conditions for A.B. and further elaborates on the techniques for identifying bioactive compounds in A.B. bulb extracts.
Social implications
The study provides A.B. as a source of bioactive compounds and a clean dye for textile coloration.
Originality/value
To the best of the authors’ knowledge, there is no documented study on the qualitative analysis of bioactive compounds in A.B using Raman and FTIR. Therefore, the study fulfils the identified need to ascertain alternative procedures for the analysis of bioactive compounds.
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Mohammad Rezania, Akbar A. Javadi and Orazio Giustolisi
Analysis of many civil engineering phenomena is a complex problem due to the participation of a large number of factors involved. Traditional methods usually suffer from a lack of…
Abstract
Purpose
Analysis of many civil engineering phenomena is a complex problem due to the participation of a large number of factors involved. Traditional methods usually suffer from a lack of physical understanding. Furthermore, the simplifying assumptions that are usually made in the development of the traditional methods may, in some cases, lead to very large errors. The purpose of this paper is to present a new method, based on evolutionary polynomial regression (EPR) for capturing nonlinear interaction between various parameters of civil engineering systems.
Design/methodology/approach
EPR is a data‐driven method based on evolutionary computing, aimed to search for polynomial structures representing a system. In this technique, a combination of the genetic algorithm and the least‐squares method is used to find feasible structures and the appropriate constants for those structures.
Findings
Capabilities of the EPR methodology are illustrated by application to two complex practical civil engineering problems including evaluation of uplift capacity of suction caissons and shear strength of reinforced concrete deep beams. The results show that the proposed EPR model provides a significant improvement over the existing models. The EPR models generate a transparent and structured representation of the system. For design purposes, the EPR models, presented in this study, are simple to use and provide results that are more accurate than the existing methods.
Originality/value
In this paper, a new evolutionary data mining approach is presented for the analysis of complex civil engineering problems. The new approach overcomes the shortcomings of the traditional and artificial neural network‐based methods presented in the literature for the analysis of civil engineering systems. EPR provides a viable tool to find a structured representation of the system, which allows the user to gain additional information on how the system performs.
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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Abstract
Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
Enabling employees to find and leverage their unique strengths to reach their potential, these firms create an employee-led, value-adding organization that is a strong competitor.
Originality/value
The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
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Devendra Pratap, Kumaresh Halder, Rakhi Singh, Ankur Ojha, Thangalakshmi S. and Savita Rani
Although milk is considered a vital source of nutrition for the livelihood, as the beginning of civilization, its antioxidant potential is required to be improved. This paper aims…
Abstract
Purpose
Although milk is considered a vital source of nutrition for the livelihood, as the beginning of civilization, its antioxidant potential is required to be improved. This paper aims to increase antioxidant activities in milk and soy milk (Glycine max L.) has been found as a good compatible source. Hence, the present work was planned to investigate the impact of blending of different proportions of soy milk with standardized milk (i.e. 50 per cent soy milk with 50 per cent standardized milk, 60 per cent soy milk with 40 per cent standardized milk, 70 per cent soy milk with 30 per cent standardized milk and 100 per cent standardized milk as control sample) on antioxidant properties and sensory attributes of the blends.
Design/methodology/approach
Antioxidant properties of the blends were determined in terms of 2,2-diphenyl-1-picrylhydrazyl, ferric reducing antioxidant power and total phenol content. Sensory evaluation was carried out using a nine-point hedonic scale based on four selected quality attributes (i.e. smell, taste, color and appearance and mouthfeel) and ranked for their quality traits by fuzzy modeling.
Findings
A blend containing 70 per cent soy milk with 30 per cent standardized milk showed the highest antioxidant activities as compared to control milk sample (p <0.05). Blend of 50 per cent soy milk with 50 per cent standardized milk was found most acceptable on the basis of sensory analysis and its antioxidant activities were also appreciable as compared to control milk sample (p <0.05). Smell, taste, color and appearance and mouthfeel influenced the acceptability of formulated milk samples in decreasing order of significance (p <0.05).
Originality/value
The present attempt has been made to formulate liquid milk by mixing standardized milk and soy milk, in which enhancement in the antioxidant activities of standardized milk and masking of off-flavor of soy milk is done. It is not done before and it may improve the nutritional and commercial value of the milk. Further, fuzzy modeling used for choosing appropriate blend in terms of sensory scores is also found as a novel approach.
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Lee Yen Chaw and Chun Meng Tang
This study intends to examine whether the reasons learners like or dislike a learning environment can help explain the differences in the characteristics of the learner and…
Abstract
Purpose
This study intends to examine whether the reasons learners like or dislike a learning environment can help explain the differences in the characteristics of the learner and whether learner characteristics can influence a learner's preference for a learning environment.
Design/methodology/approach
This study adopted an exploratory sequential mixed methods research design. The study first conducted focus groups with university students to uncover their learner characteristics by examining the reasons they liked or disliked a learning environment. This was followed by a questionnaire survey to explore how these learner characteristics influenced learner inclination for a learning environment. The survey data were analysed using exploratory and confirmatory factor analysis (partial least squares structural equation modelling).
Findings
The findings showed that two types of learner characteristics, i.e. online learner characteristics and classroom learner characteristics, significantly affected learner inclination for a learning environment. Analyses also indicated that learner demographics had no major moderating effect between learner characteristics and learner inclination for a learning environment.
Practical implications
The findings can be useful for education institutions, learning designers and academics to design engaging learning activities to better support different learning needs.
Originality/value
This study makes a novel attempt to distinguish learner characteristics based on the reasons learners like or dislike a learning environment and establishes that individual learners' characteristics play a role in influencing their preference for a specific learning environment.
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Shakila Ansari, Mohadeseh Abdi, Pardis Khalili and Sahar Saraf-Bank
Probiotic coadministration with soy beverages has been shown to have favorable results in human health. This study aims to conduct a systematic review of randomized clinical…
Abstract
Purpose
Probiotic coadministration with soy beverages has been shown to have favorable results in human health. This study aims to conduct a systematic review of randomized clinical trials to examine the effect of probiotic soy beverages (PSB) on human health aspects such as lipid profile, oxidative stress and kidney function.
Design/methodology/approach
The study was conducted based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Relevant articles were extracted from PubMed, SCOPUS, Web of Science, Science Direct and Google Scholar up to April 2024. This paper searched all databases using the following keywords: (“Soy milk” OR “Soy beverage” OR “Fermented soy milk” OR “Soy Fermented Beverages”) AND (“Probiotic” OR “Probiotics”). The literature search did not consider language, age and publication date restrictions.
Findings
A total of 2,183 subjects were included in this review. PSB beneficially decreased low-density lipoprotein cholesterol and total cholesterol levels and increased high-density lipoprotein cholesterol. PSB beneficially affected superoxide dismutase, glutathione peroxidase, glutathione reductase and glutathione. PSB decreased serum creatinine and increased estimated glomerular filtration rate. Cystatin-C and progranulin decreased significantly in the PSB group. PSB had no significant effect on anthropometric indices, while decreased systolic and diastolic blood pressure.
Originality/value
This study provides a brief overview of the effect of PSB on lipid profile, oxidative stress, inflammation and kidney function for the first time.
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Anil Kumar Budati, Ganesh Snv, Kumar Cherukupalli, Anil Kumar P. and Venkata Krishna Moorthy T.
The privacy of the information is a major challenge in the communication process. In the present modern generation, the cryptography plays a vital role in providing security for…
Abstract
Purpose
The privacy of the information is a major challenge in the communication process. In the present modern generation, the cryptography plays a vital role in providing security for data, such as text, images and video while transmitting from source to destination through internet or intranet. The Rivest-Shamir-Adleman (RSA) is an asymmetric key cryptographic system, where the security of the method works on the strength of the key.
Design/methodology/approach
In an asymmetric key crypto system, a pair of keys is generated one public key for encryption and one private key for decryption. The major challenge of implementing the RSA is the power function which becomes tedious and time consuming as the exponential value increases. The Chinese remainder theorem proves to be the best for data encryption when it comes to execution time of the algorithm. The proposed novel RSA algorithm with lookup table (LUT) is an extension to the Chinese remainder algorithm, which works better for image and video in terms of time complexity.
Findings
This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.
Originality/value
This paper presents a LUT approach for implementing the RSA with a minimal processing time. The proposed algorithm was compared with the standard algorithms like, Chinese remainder theorem, binary approach and squared multiplication approach. As the size of the exponent value increases, the proposed method shows better performance compared to other standard methods.
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Rachna Sehrawat, Parmjit S. Panesar, Reeba Panesar and Anit Kumar
Biopigments, natural colors from microbiological origin are of great interest because of their potential advantages over synthetic colorants. Therefore, this paper aims to…
Abstract
Purpose
Biopigments, natural colors from microbiological origin are of great interest because of their potential advantages over synthetic colorants. Therefore, this paper aims to evaluate the best possible fermentative conditions for the maximum production of biopigment using solid state fermentation and submerged fermentation by Monascus purpureus MTCC 369.
Design/methodology/approach
The biopigment was produced using solid state fermentation and submerged with optimized substrate to achieve higher yield. The statistical analysis was carried out using a Microsoft Excel ® (Microsoft Corporation).
Findings
On comparative analysis, it was observed that solid state fermentation resulted significant accumulation of biopigment (9.0 CVU/g) on the 9th day in comparison to submerged fermentation (5.1 CVU/g) on the 15th day.
Practical implications
Results revealed that sweet potato peel powder and pea pods provides necessary nutrients required for mycelial growth, and biopigment production, therefore, can be used as potent substrate for biopigment production by Monascus purpureus MTCC 369. Extracted color can be used in confectionery, beverages and pharmaceutical industries.
Originality/value
This work focuses on utilisation of waste for production of pigment as alternative source to synthetic colorant, and few studies have been carried out using wastes, but no work has been carried out on sweet potato peel to the best of the authors’ knowledge.