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Review of Domenico Fiormonte, Sukanta Chaudhuri and Paola Ricaurte (eds). Global Debates in the Digital Humanities, University of Minessotta Press (2022), by Shanmugapriya T.

Food choice aims to identify the solution totheexiguity of the food. It is possible to do this through diversification. Finding the best selection of food alternatives is the goal of food diversification.. Multi-attribute decision-making (MADM) methods attempt to choose the best alternative from a group of possibilities based on several parameters. This paper provides the description of the entropy process use in the analysis and application of multi attribute decision-making (MADM) for choosing foods.

Cold-Formed steel built-up columns are commonly used as compression member in the industrial roof and long span bridge structures to carry larger load. To improve the strength and stiffness of the cold-formed section, the built-up column with additional stiffeners and lacings are used. This paper reports the results of experimental tests conducted on built-up cold-formed columns, composed with the combination of intermediate and closer stiffeners with pin-ended condition under axial compression. Totally twelve columns with or without intermediate and closer stiffeners were tested to failure. The experimental results aim to quantify the effect of cross-section, intermediate and closer stiffener on the overall performance, including strength, strain and failure modes for the built-up column. The Finite element model was developed by ANSYS software and the model is validated with the experimental results. The built-up column strength predicated by recommended design equations of American Iron and Steel Institute (AISI) exhibited good agreement with the ultimate load of built-up columns obtained both by experimental and numerical. Based on this study a recommendation is proposed to DSM for the CFS built -up columns with intermediate and closer stiffeners.

The proposed solar-powered UAV utilizes photovoltaic panels to convert solar energy into electrical power to supply the onboard electronic systems, including the propulsion system and sensors. To enhance the UAV's performance, loT technology is employed to enable the communication and coordination of the UAV with other connected devices, such as ground stations and sensors. This allows for real-time data collection and analysis, as well as improved situational awareness for the UAV. To optimize the performance of the UAV, SVM is used as a machine learning algorithm for object detection and classification. SVM has been widely used in UAVs to detect and classify objects in aerial images, and has been proven to be effective in a variety of applications. The proposed design utilizes SVM to detect and classify objects of interest, such as crops, buildings, and infrastructure, and to assist in the navigation and control of the UAV. The design and development of the proposed solar-powered UAV involves several key components, including the solar panels, propulsion system, control system, and communication system.