Publications by authors named "Ye Wenhao"

This study employed Mendelian randomization (MR) analysis to explore potential causal relationships between 731 immune cell subtypes and periodontitis. Utilizing a 2-sample MR design, our study delved into the diverse landscape of immune cell interactions with periodontitis-associated factors. Multiple MR methods, including inverse variance weighting, weighted median, and MR-Egger tests, were employed to ensure reliability and mitigate potential pleiotropic effects.

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  • The study investigates the relationship between gut microbiota (GM) and Parkinson's disease (PD), focusing on whether inflammatory cytokines (ICs) play a mediating role.
  • Using Mendelian randomization analysis, the researchers identified various positive and negative associations between GM, ICs, and PD, but found that after adjusting for false discovery rate (FDR), none were statistically significant.
  • The findings suggest a strengthened link between GM and PD risk, indicating that inflammatory cytokines might mediate some of these relationships, warranting further exploration.
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To address the limitations of traditional optimization methods in achieving high accuracy in high-dimensional problems, this paper introduces the snow leopard optimization (SLO) algorithm. SLO is a novel meta-heuristic approach inspired by the territorial behaviors of snow leopards. By emulating strategies such as territory delineation, neighborhood relocation, and dispute mechanisms, SLO achieves a balance between exploration and exploitation, to navigate vast and complex search spaces.

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Real-time and continuous monitoring of physiological status via noninvasive sweat sensing shows promise for personalized healthcare and fitness management. However, the largely varied perspiration rates in different body statuses introduce challenges for effective sweat collection and accurate sensing. Herein, a fully printable strategy was developed to realize fully integrated patches for wireless sensing of sweat biomarker levels and perspiration rates with desirable stability and versatility.

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  • Recent advancements in artificial vision systems inspired by biological compound eyes offer diverse visual functions but face challenges due to complex electronics and mismatches between components.
  • A novel pinhole compound eye integrates a 3D-printed honeycomb optical structure with a high-density nanowire photodetector array, eliminating lenses and allowing for customizable designs.
  • The system demonstrates impressive features like an ultra-wide field of view, accurate positioning, and motion tracking, showing promise for enhanced robotic vision applications.
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Steel slag is a by-product of the steel industry and usually contains a high amount of f-CaO and f-MgO, which will result in serious soundness problems once used as a binding material and/or aggregates. To relieve this negative effect, carbonation treatment was believed to be one of the available and reliable methods. By carbonation treatment of steel slag, the phases of f-CaO and f-MgO can be effectively transformed into CaCO and MgCO, respectively.

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The spontaneous healing of critical-sized bone defects is often limited, posing an increased risk of complications and suboptimal outcomes. Osteogenesis, a complex process central to bone formation, relies significantly on the pivotal role of osteoblasts. Despite the well-established osteogenic properties of vitamin D (VD), its lipophilic nature confines administration to oral or muscle injection routes.

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To further ameliorate current additive engineering of perovskites for viable applications, the inherent limitations should be overcome; these include weakened coordination of the dopants to the [PbI] octahedra during crystallization and ubiquity of ineffective bonding sites. Herein, we introduce a facile strategy for synthesizing a reduction-active antisolvent. Washing with reduction-active PEDOT:PSS-blended antisolvent substantially enhances the intrinsic polarity of the Lewis acid (Pb) in [PbI] octahedra, which causes significant strengthening of the coordinate bonding between additives and perovskite.

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  • - Goose astrovirus (GAstV) is a contagious pathogen affecting young goslings, causing gout with serious symptoms and up to 50% mortality.
  • - A new duplex real-time reverse transcription-polymerase chain reaction (rRT-PCR) assay was developed to quickly detect GAstV-1 and GAstV-2, showing high specificity and sensitivity without interfering with other pathogens.
  • - Testing of infected samples revealed positive rates of 36.36% for GAstV-1 and 54.55% for GAstV-2 in field samples, with a co-infection rate of 21.21%, making this assay a valuable tool for monitoring and studying GAstV.
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  • Semiconductor chemiresistive gas sensors are essential for ensuring safety and health in smart cities, but they face challenges in sensitivity and selectivity.
  • A new sensor design utilizing a 3D tin oxide nanotube array and platinum nanocluster decoration significantly improves sensitivity and selectivity for detecting nitrogen oxide (NO), achieving an unprecedented sensitivity limit of 107 parts per trillion.
  • The development includes a wireless sensor system for effective indoor and on-road NO detection, laying the groundwork for real-time gas monitoring in smart home and smart city environments.
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In this paper, a highly sensitive optical fiber gas pressure sensor is proposed and experimentally verified. The sensor is composed of two Fabry-Pérot (F-P) cavities, and two F-P cavities are fabricated by a single-mode fiber and two quartz capillaries with different inner diameters splicing. Among them, the small inner diameter capillary is used as a gas channel connecting the large inner diameter capillary and the external environment.

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Real-time monitoring of health threatening gases for chemical safety and human health protection requires detection and discrimination of trace gases with proper gas sensors. In many applications, costly, bulky, and power-hungry devices, normally employing optical gas sensors and electrochemical gas sensors, are used for this purpose. Using a single miniature low-power semiconductor gas sensor to achieve this goal is hardly possible, mostly due to its selectivity issue.

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The accelerated evolution of communication platforms including Internet of Things (IoT) and the fifth generation (5G) wireless communication network makes it possible to build intelligent gas sensor networks for real-time monitoring chemical safety and personal health. However, this application scenario requires a challenging combination of characteristics of gas sensors including small formfactor, low cost, ultralow power consumption, superior sensitivity, and high intelligence. Herein, self-powered integrated nanostructured-gas-sensor (SINGOR) systems and a wirelessly connected SINGOR network are demonstrated here.

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Osteoarthritis (OA) is an unavoidable degenerative disease of the human body. A relatively efficient and desirable treatment exists that leads to the ecological restoration of cartilage through the adjustments of the micro-environment of the human body and relies on its self-repairing ability. In the present study, lubricants were injected into the knee joints of rats.

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