Publications by authors named "Z D Lin"

Purpose: Peripheral optics have been suggested to play a role in myopia progression, with accommodation responses also considered a potential contributor. This study aimed to investigate whether modifications in peripheral optics through different spectacle lenses affect accommodation responses.

Methods: Dynamic accommodation responses were assessed using a double-pass instrument while switching the target from distance (3 m for 3 seconds) to near (0.

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As a potential alternative to next-generation LIBs, carbonous materials have garnered significant attention as anode materials for potassium-ion batteries due to their low cost and environmental friendliness. However, carbonaceous materials cannot fulfill the demand of anode for PIBs, due to volume expansion and poor stability during charging/discharging process. It is well-known that N doping can provide active sites for K-storage, and expand the layer distance between graphite layers.

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Due to the limited size of the quiet zone created by active headrests (AHR) near the human ear, noise reduction (NR) at the human ear decreases dramatically when the head moves. Combined with a head tracking system can improve the NR performance when the head moves, but most such studies currently only consider head translation. To improve the robustness when the head translates or rotates, an ear-positioning (EP) system based on a depth camera and human pose estimation model is presented in this paper and integrated with AHR.

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Chitosan oligosaccharide (COS) is receiving increasing attention as a feed additive in animal production. COS has a variety of biological functions, including anti-inflammatory and antioxidant activities. Mastitis is a major disease in dairy cows that has a significant impact on animal welfare and production.

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With the development of intelligent technology, data in practical applications show exponential growth in quantity and scale. Extracting the most distinguished attributes from complex datasets becomes a crucial problem. The existing attribute reduction approaches focus on the correlation between attributes and labels without considering the redundancy.

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