Over the past decade, there's been tremendous advancements in soft and highly stretchable circuitry for use in epidermal electronics for health monitoring, wearable computing, and soft robotics. As these technolog...
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Experimental Frequency-based substructuring (FBS) is a strong tool for coupling individual substructures in the frequency domain to obtain predictions of the coupled response. A high-fidelity hybrid model can be obtai...
This work is a supplement to the work of Sneddon on axisymmetric Boussinesq problem in 1965 in which the distributions of interior-stress fields are derived here for a punch with general profile.A novel set of mathema...
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This work is a supplement to the work of Sneddon on axisymmetric Boussinesq problem in 1965 in which the distributions of interior-stress fields are derived here for a punch with general profile.A novel set of mathematical procedures is introduced to process the basic elastic solutions(obtained by the method of Hankel transform,which was pioneered by Sneddon)and the solution of the dual integral *** processes then enable us to not only derive the general relationship of indentation depth D and total load P that acts on the punch but also explicitly obtain the general analytical expressions of the stress fields beneath the surface of an isotropic elastic *** usually known cases of punch profiles are reconsidered according to the general formulas derived in this study,and the deduced results are verified by comparing them with the classical ***,these general formulas are also applied to evaluate the von Mises stresses for several new punch profiles.
Communicating information to users is a crucial aspect of human-machine interaction. Vibrotactile feedback encodes information into spatiotemporal vibrations, enabling users to perceive tactile sensations. It offers a...
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Over the past few decades, there has been extensive research conducted in both academia and industry on conventional parallel manipulators. However, the exploration of generalized parallel mechanisms with coupling sub...
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Total knee arthroplasty (TKA) has undergone significant evolution from the initial concept of ivory components to the integration of artificial intelligence. Modern technologies, such as computers and surgical robots,...
Total knee arthroplasty (TKA) has undergone significant evolution from the initial concept of ivory components to the integration of artificial intelligence. Modern technologies, such as computers and surgical robots, are now employed to precisely place implants and achieve a neutral joint configuration with minimal incisions. Despite these advancements, achieving the desired preoperative outcome remains a challenge. Accurate implant alignment continues to be a prominent limitation in the field. Malalignment results in unbalanced stresses, restricted range of motion, patient discomfort, and ultimately, TKA failure. This study reviews the limitations of commercially available TKA techniques, including navigated TKA, robotic-assisted TKA, and artificial intelligence-based approaches. Compared with the conventional TKA, navigated TKA offers the advantage of smaller incisions, but does not consistently achieve the planned implant position. Conversely, robotic-assisted surgery theoretically provides perfect neutral alignment, but its widespread use is hindered by high operational costs and associated complications. While machine learning can predict the outcomes, its current level of accuracy is not yet clinically acceptable. Although most of the calculations for Patient-specific implants are performed during preoperative session, reducing surgery duration, drawbacks include the added expense of CT scans and MRI images, while the promised results have yet to be consistently achieved.
The global nitrogen cycle holds immense importance due to its crucial role in supporting life, supplying vital nutrients for plant growth, preserving environmental balance, and enabling the proper functioning of ecosy...
The global nitrogen cycle holds immense importance due to its crucial role in supporting life, supplying vital nutrients for plant growth, preserving environmental balance, and enabling the proper functioning of ecosystems. However, human activities frequently disrupt this cycle, leading to the accumulation of nitrates and nitrites in water bodies. This accumulation causes environmental pollution and health risks. Traditional methods for treating nitrogen pollution, including biological, physical, and chemical approaches, have inherent limitations. In recent years, electrocatalysis has emerged as a promising and sustainable approach for nitrogen management. This technology offers superior efficiency, high selectivity, and environmental *** not only enables accurate detection of nitrogen pollutants in the environment but also facilitates their conversion into harmless nitrogen gas. Moreover, recent advancements have focused on the upcycling of nitrogen pollutants into valuable compounds,such as ammonia and urea. In this comprehensive review, we showcase the applications of electrocatalysis in sustainable nitrogen management. Specifically, we highlight its use in the sensing, removal, and upcycling of major nitrogen pollutants,including nitrate(NO3-), nitrite(NO2-), and nitric oxide(NO). We discuss the use of catalysts, such as Pd alloys, Cu-based, and Fe-based materials, in electrochemical sensing and catalysis. Additionally, we explore recent advancements in the conversion of nitrogen pollutants into valuable compounds like ammonia and urea. The review also addresses current challenges and future opportunities in the field, including innovations in sensor and catalyst design, as well as large-scale treatment strategies. We anticipate that these perspectives will provide profound insights for effective nitrogen pollution control and sustainable utilization of nitrogen resources.
Resource-constrained flexible job shop scheduling problems are commonly encountered in some manufacturing industries, and have been widely studied in recent years. However, traditional resource constrained flexible jo...
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Sawdust is one of the industrial wastes which naturally contains low energy density. An effective method is needed to utilize this biomass as a solid fuel product. This work aimed to investigate the physical and combu...
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Floating ROVs have extensive applications on oceanographic research, environmental monitoring, and search and rescue operations. In this work, two levels of floating ROV stabilization is realized. First, the intrinsic...
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