Eamon Davenport
The escalating climate crisis necessitates a collective revaluation of practices across industries. This article examines the pivotal role of human behaviour in fostering horizontal cooperation within logistics to mitigate its climate impact. Analysing behavioural patterns, incentive structures, and collaborative frameworks, it sheds light on the potential for collective action to drive substantial environmental change in the logistics sector.
Lyra Kensington
This study delves into the critical assessment of biosecurity preparedness in both large-scale and small-scale poultry farms within the United Arab Emirates (UAE). As the poultry industry continues to expand in the region, understanding and evaluating the biosecurity measures undertaken by these farms becomes imperative. The research employs a comprehensive analysis, considering factors such as infrastructure, protocols, disease management strategies, and compliance with international standards. By examining the disparities and commonalities between large and small poultry farms, this study aims to provide insights into enhancing biosecurity measures, ultimately contributing to the overall sustainability and safety of the UAE's poultry industry.
Serena Hawthorne
The study of sodium clusters and their photoionization properties has garnered significant attention due to their intriguing electronic structures and potential applications. This article delves into the density functional approach applied to sodium cluster photoionization, exploring the profound impact of cluster dimension and exchange-correlation structure on these phenomena. Utilizing advanced computational methods and theoretical frameworks, this research aims to unravel the intricate interplay between cluster size, electronic interactions, and the choice of exchange-correlation functionals in understanding and predicting sodium cluster photoionization behavior. By scrutinizing these facets, this article aims to contribute to the deeper comprehension of fundamental processes governing the photoionization dynamics of sodium clusters.
Emmeline Rivers
Astaxanthin, a potent carotenoid pigment with diverse industrial applications, poses challenges in its efficient production. This article investigates the development of a fermentative bioprocess for biomass-bound astaxanthin, utilizing C. glutamicum. Through an investigation-based approach, this study delves into optimizing fermentation conditions, genetic manipulation of C. glutamicum, and downstream processing strategies to enhance astaxanthin synthesis and binding to cellular biomass. The article elucidates key findings, challenges, and potential applications of this innovative bioprocess for sustainable and scalable astaxanthin production.
Benjamin Turner
The study of sodium clusters and their photoionization properties has garnered significant attention due to their intriguing electronic structures and potential applications. This article delves into the density functional approach applied to sodium cluster photoionization, exploring the profound impact of cluster dimension and exchange-correlation structure on these phenomena. Utilizing advanced computational methods and theoretical frameworks, this research aims to unravel the intricate interplay between cluster size, electronic interactions, and the choice of exchange-correlation functionals in understanding and predicting sodium cluster photoionization behavior. By scrutinizing these facets, this article aims to contribute to the deeper comprehension of fundamental processes governing the photoionization dynamics of sodium clusters.
William Montague
Industrial Engineering, rooted in enhancing productivity and efficiency, finds immense value in Lean Principles. This article aims to elucidate the core tenets of Lean methodologies and their profound impact on minimizing waste while maximizing efficiency within industrial contexts. At its core, Lean thinking centers on the elimination of waste in all forms, encompassing overproduction, waiting time, unnecessary transportation, excess inventory, over-processing, defects, and underutilization of talent.
Caspian Thorne
Understanding the impact of protein mutations is vital in various scientific domains, from drug development to personalized medicine. Recent advancements in machine learning, particularly ensemble learning techniques coupled with supervised methods, have shown promise in predicting protein mutation effects. This article delves into the integration of large-scale protein language models into ensemble learning frameworks for enhanced accuracy and reliability in assessing mutation effects. By leveraging these sophisticated models, researchers can decipher intricate protein structures and anticipate the functional consequences of mutations, revolutionizing biotechnology and pharmaceutical research.
Kieran Ashbourne
Environmental pollution remains a pressing global challenge, demanding innovative strategies for remediation. Quinoid redox mediators, owing to their unique electron transfer properties and redox capabilities, have garnered attention for their potential role in pollution treatment. This article explores the multifaceted applications and mechanisms of quinoid redox mediators in mitigating environmental pollutants, encompassing diverse domains such as wastewater treatment, soil remediation, and air purification. Understanding the interactions and transformative potential of these mediators offers a promising avenue for sustainable and efficient pollution management.
Rosalind Langley
Plant tissue culture techniques have revolutionized agricultural biotechnology, enabling the propagation of plants from cells and tissues. Understanding callus induction and regeneration in plant explants is crucial for crop improvement and genetic transformation. This article explores the application of machine learning algorithms to model callus induction and regeneration in Hypocotyl Explants of Fodder Pea (P. sativum var. arvense L.). Leveraging data-driven approaches, this study aims to predict and optimize the conditions necessary for efficient callus formation and subsequent plant regeneration, facilitating advancements in plant biotechnology and crop breeding.
DOI: 10.37421/2169-0316.2024.13.252
Hadiqa Amjad*, Nimra Jamil, Amna Azeem, and Saba Majeed
Big Data means the large amount of data. Data is rapidly increasing day by day. So, there’s a big issue how to secure the large amount of data. Securing information is become a priority as data is a most important asset in today’s world. In this paper we will discuss the challenges of Hadoop and provide the solutions for securing it. Some security challenges of Hadoop include Data Security, Network Security, Access Control Security etc. We have brief discussed about Hadoop framework, some security management modules and different approaches i.e. Kerberos technique, Bull Eye Algorithm, encryption techniques etc. in securing the Hadoop Ecosystem.
Human failures in workplace may lead to accidents which will affect the individual as well as to the organization. Attribution of human error as the cause of accidents and incidents is common in accident reports. In order to improve the safety aspects of the organization, time and financial resources are being spent. In spite of safety policies, rules and regulations, many accidents, and incidents are being reported from different sectors. The current study focuses on the errors management in medium and small scale manufacturing setups. Authors argue that it is important to view errors as a positive feedback and having a growth mindset towards errors can improve the safety culture thereby improving the overall productivity and efficiency of the organization. Questionnaire on error management culture of the manufacturing setups is prepared and distributed among the medium and small scale industrial operators of the manufacturing setups situated in the Mysore city. Statistical reliability analysis of error management questionnaire is carried out and it is found that instrument is reliable and can be used to assess the error management culture of the organization.
DOI: 10.37421/2169-0316.2021.10.300
Bangladesh has demonstrated strong economic fundamentals with a consistent GDP growth rate over 7 percent in last few years. With this rapid economic growth, the demand of electricity will also be increased. Since the development of power sector is dependent on many factors, the power sector of Bangladesh is very challenging. In this case study, a brief discussion on Power sector of Bangladesh has demonstrated with recent information and data including power crisis of the country. Future plans and programs of Power sector has been discussed too. A detailstudy on power demand and production is also calculated. Our main objective was to provide a genuine power scenario of Bangladesh and calculate the upcoming demand by 2042 which will be followed by some recommendations through which the Power sector of Bangladesh can improve. The forecasting was calculated by multiple regression analysis using GMDH Streamline software.
Wintana Solomun and Berihun Negash*
Proper lay out gives relief a lot of financial and non financial activates for both users and suppliers. Thus, the propose of this research is to improve the productivity of sewing production line through the layout rearrangement. So that, time, energy and less production gets crashed. The production losing and time consuming due to un proper lay out leads to company unprofitable and customer disaffection. The workers took high energy and time consuming to produce the existing less production because of un proper lay out. Thus, the study was conducted to improve productivities of the company by reducing time consuming process and factors affecting production rate of the company using data from DBL( Bangladesh owned production) manufacturing plc to produce proper lay out. The researcher’s analyzed existing lay out and new lay out to compare based on their efficiency, production and cycle time. so, that the existing lay out efficiency is 21.82%, production1387per day sample 3 blocks, and cycle times respectively for the improved lay out efficiency is 24.14%, production 1546 and cycle time.
Industrial Engineering & Management received 739 citations as per Google Scholar report
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