High stakes decision making requires that any decision support systems must be able to come up with plausible explanations about the decisions they propose to the user. Several popular approaches to explaining black-b...
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WiFi channel state information (CSI) and machine learning-based environmental sensing have gained significant attention. However, it is empirically known that the accuracy of trained models degrades over time. In this...
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To solve the problem of dynamic and sequential air combat intention recognition in complex battlefield environment, a target tactical intention recognition method based on the extended multi-entities Bayesian network ...
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Aiming at some issues of the traditional unmanned craft practical training effected by the actual training site, time and climate and other factors, and the low training efficiency, equipment consumption, training cos...
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Ecological carrying capacity (ECC) assessment is a critical tool for coordinating regional human-land systems and promoting environmental sustainability. This study proposes a framework of "research status–asses...
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Trajectory data association algorithm is an important part of multi-target tracking method. Traditional association methods require priori information such as target motion model and clutter density to conduct associa...
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We propose the Dual Engines of Thoughts (DEoT), an analytical framework for comprehensive open-ended reasoning. While traditional reasoning frameworks primarily focus on finding "the best answer" or "th...
A numerical method for helicopter rotor/fuselage aerodynamic interaction has been established. Where the viscous vortex particle method is applied to model rotor wake and the vortex panel method is employed to model t...
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Finding out how diet impacts health and metabolism while concentrating on the functional qualities and bioactive components of food is the crucial scientific objective of nutritional research. The complex relationship...
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Finding out how diet impacts health and metabolism while concentrating on the functional qualities and bioactive components of food is the crucial scientific objective of nutritional research. The complex relationship between metabolism and nutrition could be investigated with cutting-edge "omics" and bioinformatics techniques. This review paper provides an overview of the use of omics technologies in nutritional research, with a particular emphasis on the new applications of transcriptomics, proteomics, metabolomics, and genomes in functional and biological activity research on ruminant livestock and products in the tropical regions. A wealth of knowledge has been uncovered regarding the regulation and use of numerous physiological and pathological processes by gene, m RNA, protein, and metabolite expressions under various physiological situations and guidelines. In particular, the components of meat and milk were assessed using omics research utilizing the various methods of transcriptomics, proteomics, metabolomics, and genomes. The goal of this review is to use omics technologies—which have been steadily gaining popularity as technological tools—to develop new nutritional, genetic, and leadership strategies to improve animal products and their quality control. We also present an overview of the new applications of omics technologies in cattle production and employ nutriomics and foodomics technologies to investigate the microbes in the rumen ecology. Thus, the application of state-of-the-art omics technology may aid in our understanding of how species and/or breeds adapt, and the sustainability of tropical animal production, in the long run, is becoming increasingly important as a means of mitigating the consequences of climate change.
Aiming at the difficulty of directly testing the heat protection effect of thermal barrier coating (TBC) on turbine blades in real working conditions of Aero-engines, in order to obtain the heat protection performance...
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