The study was aimed at determination of the position of the Fe-rich border of the metastable miscibility gap (MMG) and of the solubility limit of Cr in iron at 858 K. Towards this end a Fe73.7Cr26.3 alloy was isotherm...
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The emergence of many strains of the coronavirus, including the latest omicron strain, which is spreading at a very high speed, is leading to the World Health Organization's (WHO) concern about the creation of thi...
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This paper reviewed the application of airborne geophysical and remote sensing datasets in the mapping of orogenic gold deposits in different geologic settings around the world by examining more than forty publication...
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This paper reviewed the application of airborne geophysical and remote sensing datasets in the mapping of orogenic gold deposits in different geologic settings around the world by examining more than forty publications in peer-reviewed journals. The paper indicates the role of aeromagnetic, aeroradiometric datasets (airborne geophysical) and LandSat and ASTER datasets (remote sensing) in mapping epithermal orogenic gold deposits. The paper further highlighted the importance of understanding the geologic settings of epithermal gold mineralization in terms of the mineral system before mineral mapping can be done. Case studies drawn from fourteen (14) publications were presented to show the successful mapping of epithermal gold deposits using airborne geophysical and remote sensing datasets. However, the challenges of the methods of mapping as presented in the paper indicated the limitations of the methods in terms of ambiguity in interpretation, especially when a single method is used. Also, the cost of data acquisition and the inability of the exploration methods to estimate the tonnage and grade of the epithermal gold deposits pose a limitation to the use of airborne geophysical and remote sensing datasets in epithermal gold mapping. The paper was able to justify the use of the methods solely for mapping, which essentially is to focus exploration on certain areas, thereby, saving time and money. Further analyses on tonnage estimation can be done by wildcat drilling and geochemical analysis in mapped areas obtained from airborne geophysical and remote sensing datasets. In addition, the paper presented new technologies that are less expensive than conventional airborne geophysical methods that are capable of probing deep into the subsurface with higher resolution and the use of integrated techniques of airborne geophysical and remote sensing datasets to cater for the ambiguity associated with exploration data interpretation. The paper finally highlights ongoing resear
The paper considers a generalized mathematical model of a class of mechanical systems, which represent systems of rigid bodies elastically mounted on an Euler-Bernoulli beam. This model has the form of a hybrid system...
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In the current era of chatbots, this research delves into the advancements in AI chatbots, drawing on artificial intelligence (AI) and natural language processing (NLP) techniques to mimic human-like conversations. A ...
In the current era of chatbots, this research delves into the advancements in AI chatbots, drawing on artificial intelligence (AI) and natural language processing (NLP) techniques to mimic human-like conversations. A particular focus is given to the potential of chatbots in facilitating multitasking dialogues, offering emotional support, and addressing complex subject matter, all the while respecting user privacy and trust. The implemented chatbot model is trained on a neural network, using Keras and TensorFlow libraries. This model’s performance indicates a considerable dependence on the dataset’s size, with larger datasets leading to better outcomes by providing more extensive language usage and context examples. Additionally, we also analyze the effect of varying architectures and hyperparameters on chatbot performance. The significance of localizing chatbots to adapt to different languages and cultures is also highlighted. While promising, the study identifies areas of improvement, suggesting future research directions in enhancing language capture techniques, expanding training datasets, and integrating emotional intelligence within chatbot systems.
Escape routing is a critical problem in PCB routing, and its quality dramatically affects the cost of the PCB design. Unlike the traditional escape routing that works mainly for the BGA with unique line width and spac...
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Fuel cell hybrid vehicles use an electric energy storage system such as a battery that can provide additional traction power. This is needed to improve vehicle operation during acceleration and to avoid dynamic curren...
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The aim of the work is to present the development trends of high performance computers. The analysis focused on system architecture, processors and computing accelerators used. Particular attention was paid to interco...
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The current study investigates how perceived risks and trust factors affect customers' intentions to use mobile payment applications that utilize near-field communication (NFC) technology. The author created a con...
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At the University of appliedsciences Kaiserslautern, empirical user interface studies in the automotive sector are being conducted at the driving simulation environment K3F. To improve the workflow, the driving simul...
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