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Gluconic Acid Production by Using Recombinant Escherichia coli Waksman pqq+ Cells with a Novel Approach from Biomass Sources
(PubMed Disclaimer, 2024 May 9)
Gluconic acid (GA) is widely used in the pharmaceutical, food, detergent, textile, leather, and concrete industries. However, cost-effective and high-yield production of GA remains a challenge. Due to currently high raw ...
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
(Elsevier Ltd, July 2024)
Early diagnosis of plant diseases is essential in reducing economic losses for farmers and increasing production efficiency. Therefore, Computer-Aided Diagnosis (CAD) systems supported by artificial intelligence technologies ...
Exploring the enablers for building resilience in solar photovoltaic Energy supply chains
(Springer, 2024)
A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, and module and panel manufacturing. Due to the wide range of uncertainties ...
Improving brain tumor classification with combined convolutional neural networks and transfer learning
(Elsevier B.V., 5 Septembe)
Brain tumors pose a serious threat, causing the deaths of thousands of people worldwide, and can lead to life-threatening consequences when not accurately diagnosed. The classification of brain tumors and the determination ...
Measurement-based V2V propagation modeling in highway, suburban, and urban environments
(Elsevier Inc., August 202)
Vehicle-to-vehicle (V2V) communication is one of the promising communication applications designed to optimize traffic conditions and has played a crucial role in the improvement of intelligent transportation technologies. ...
Metaverse in tourism education: A mixed method on vision, challenges and extended technology acceptance model
(Elsevier B.V., November 2)
The metaverse, an emerging educational frontier, presents boundless opportunities and distinct challenges for educators and students alike. This study delves into these aspects within the context of tourism education, ...
Prediction of effect of fabrication parameters on the properties of B4C ceramic particle reinforced AA2024 matrix nanocomposites using neural networks
(Elsevier Ltd, June 2024)
In the present study, a prediction model was created to predict the impact of B4C content, milling time and matrix size on the hardness and density of AA2024-B4C nanocomposites produced by means of flake powder metallurgy. ...
Public's social media use during the Kahramanmaraş earthquakes on 6 February 2023
(Elsevier Ltd, 15 June 20)
Social media facilitates crisis management and emergency response efforts by disseminating disaster information during disasters. Understanding the positive and negative contributions of social media to disaster management ...
ON LOCAL GOVERNMENTS OMBUDSMAN IN TURKEY: A COMPARATIVE ANALYSIS WITH THE LOCAL GOVERNMENTS OMBUDSMAN IN UK AND ITALY
(ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao, 2024)
Objective: The Ombudsman is essentially an independent, national-level institution that operates in response to complaints from citizens in order to steer public administrations away from bad administrative practices and ...
Performance of different fibre types in alkaline-activated concrete produced with industrial wastes: volcanic rock powder and blast furnace slag
(Taylor and Francis Ltd., 2024)
The objective of the study is to determine the effects of different fibre types and ratios on the mechanical and physical properties of alkali-activated concrete (AAC) and to optimise important properties such as workability, ...