Publications by authors named "Zhuo Lu"

Traditional exercise fatigue monitoring technologies have faced challenges, including high costs, operational complexity, and invasiveness, which limit their practicality for daily training and health management. A biobased pulp wool triboelectric nanogenerator (PW-TENG) has been developed and integrated with a heart rate strap (HRS) and inertial measurement unit (IMU) to establish a multimodal fatigue monitoring system. Doping BaTiO particles, spraying conductive graphite, and bidirectional W-shape encapsulation have enhanced its output performance by 100%, tripled the contact-separation efficiency, and achieved ultrafast response and recovery times (8.

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Background: Mitochondria are central to plant growth, development, and stress resilience. Despite their importance, mitochondrial research in desiccation-tolerant mosses remains underexplored. To unravel the stress resistance mechanisms of the extremotolerant desert moss, establishing a method to isolate highly active and pure mitochondria is critical.

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Moss has remarkable abilities to survive harsh environmental conditions, making it a key species in habitat restoration following disturbances such as fire, exploring these abilities informs efforts to improve stress tolerance in other plants and enhances our understanding of the evolution of stress tolerance. Here, we report a new record of thermal tolerance for the dried moss Syntrichia caninervis. Dry moss cuttings survived 60 min at 120 °C, exceeding the previous record of 30 min at 120 °C.

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Glioma is a highly aggressive brain tumor with limited treatment success due to its resistance to conventional therapies. Sirtuin 5 (SIRT5) has emerged as a promising target for cancer therapy, though it exhibits dual roles in different cancer types. In this study, we investigate the role of SIRT5 in glioma and its corresponding mechanisms.

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The double spike (DS) technique is a highly effective approach for measuring the isotope ratios of many elements. However, it is common for some fraction of the prepared samples to be "overspiked." The usual solution for this problem involves repurifying and reanalyzing the samples to ensure data accuracy.

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Article Synopsis
  • * The LG-TENG improves signal strength by 390% and maintains stability for over 1500 seconds, achieving high accuracy (98.1% and 96.46%) in motion recognition through deep learning models.
  • * Integrating technologies like IoT and big data, this innovative device aims to help manage obesity-related health risks, offering a low-cost, eco-friendly solution for self-health management and exercise monitoring.
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Glioma, a malignant and infiltrative neoplasm of the central nervous system, poses a significant threat due to its high mortality rates. Branched-chain amino acid transaminase 1 (BCAT1), a key enzyme in branched-chain amino acid (BCAA) catabolism, exhibits elevated expression in gliomas and correlates strongly with poor prognosis. Nonetheless, the regulatory mechanisms underlying this increased BCAT1 expression remains incompletely understood.

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Glioblastoma is one of the most challenging malignancies with high aggressiveness and invasiveness and its development and progression of glioblastoma highly depends on branched-chain amino acid (BCAA) metabolism. The study aimed to investigate effects of inhibition of BCAA metabolism with cytosolic branched-chain amino acid transaminase (BCATc) Inhibitor 2 on glioblastoma, elucidate its underlying mechanisms, and explore therapeutic potential of targeting BCAA metabolism. The expression of BCATc was upregulated in glioblastoma and BCATc Inhibitor 2 precipitated apoptosis both in vivo and in vitro with the activation of Bax/Bcl2/Caspase-3/Caspase-9 axis.

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Aspect-level sentiment analysis can provide a fine-grain sentiment classification for inferring the sentiment polarity of specific aspects. Graph convolutional network (GCN) becomes increasingly popular because its graph structure can characterize the words' correlation for extracting more sentiment information. However, the word distance is often ignored and cause the cross-misclassification of different aspects.

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Article Synopsis
  • Liver fibrosis is a major global health issue caused by the excess production of proteins in liver tissue, and currently, there are no approved antifibrotic drugs to treat it.
  • Understanding the molecular mechanisms of liver fibrosis could help develop new therapies, enable early intervention, and improve disease predictions related to liver health.
  • Traditional natural products are gaining attention for their potential to treat liver fibrosis, and this review highlights recent advancements in this area, while addressing the challenges faced in developing these treatments and their potential impact on patient outcomes.
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Alfalfa (Medicago sativa L.), a perennial forage plant, is a rich source of nutrients such as vitamins, minerals, and proteins. Salt stress, however, impedes its growth.

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Background: Immune checkpoint inhibitors (ICIs) have emerged as a standard treatment for various malignancies. However, research indicates blocking the immune checkpoint pathway may exacerbate atherosclerotic lesions.

Objectives: We aimed to investigate whether ICI therapy increases the risk of arterial thromboembolic events (ATEs).

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Research Question: Can an automated sperm injection robot perform Automated Intracytoplasmic Sperm Injection (ICSIA) for use in human IVF?

Design: The ICSIA robot automated the sperm injection procedure, including injection pipette advancement, zona pellucida and oolemma penetration with piezo pulses, and pipette removal after sperm release. The robot was first tested in mouse, hamster and rabbit oocytes, and subsequently using discarded human oocytes injected with microbeads. A small clinical pilot trial was conducted with donor oocytes to study the feasibility of the robot in a clinical setting.

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Federated learning (FL) is a decentralized machine learning architecture, which leverages a large number of remote devices to learn a joint model with distributed training data. However, the system-heterogeneity is one major challenge in an FL network to achieve robust distributed learning performance, which comes from two aspects: 1) device-heterogeneity due to the diverse computational capacity among devices and 2) data-heterogeneity due to the nonidentically distributed data across the network. Prior studies addressing the heterogeneous FL issue, for example, FedProx, lack formalization and it remains an open problem.

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Double spike (DS) method has been extensively used in determining stable isotope ratios of many elements. However, challenges remain in obtaining high-precision isotope data for ultra-trace elements owing to the limitations of instrumental signal-to-noise ratios and the systematics of precision of DS-based measurements. Here, the DS-standard addition (SA) (DSSA) technique is proposed to improve measurements of isotope compositions of ultra-trace elements in natural samples.

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Article Synopsis
  • Nonalcoholic fatty liver disease (NAFLD) is a common condition worldwide, potentially linked to problems with branched chain amino acid (BCAA) metabolism.
  • This study investigates the effects of BCAA metabolism on NAFLD and the protective role of BCATc Inhibitor 2, which helps reduce lipid accumulation and cell death caused by oleic acid in liver cells.
  • The research shows that BCAA supplementation worsens NAFLD symptoms, while BCATc Inhibitor 2 improves mitochondrial function and reduces harmful signaling pathways, suggesting it could be an effective treatment for NAFLD.
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Acute liver failure (ALF) is an unfavorable condition characterized by the rapid loss of liver function and high mortality. Chrysophanol-8-O-glucoside (CPOG) is an anthraquinone derivative isolated from . This study aims to evaluate the protective effect of CPOG on lipopolysaccharide (LPS)/D-GalN-induced ALF and its underlying mechanisms.

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Temporal interference transcranial alternating current stimulation (TI-tACS) is a new technique of noninvasive brain stimulation. Previous studies have shown the effectiveness of TI-tACS in stimulating brain areas in a selective manner. However, its safety in modulating human brain neurons is still untested.

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Mitochondrial DNA (mtDNA) mutations are often associated with incurable diseases and lead to detectable pathogenic variants in 1 out of 200 babies. Uncoupling of the inheritance of mtDNA and the nuclear genome by spindle transfer (ST) can potentially prevent the transmission of mtDNA mutations from mother to offspring. However, no well-established studies have critically assessed the safety of this technique.

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Inhibiting cancer metabolism via glutaminase (GAC) is a promising strategy to disrupt tumor progression. However, mechanism regarding GAC acetylation remains mostly unknown. In this study, we demonstrate that lysine acetylation is a vital post-translational modification that inhibits GAC activity in non-small cell lung cancer (NSCLC).

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Venous thromboembolism (VTE) is a potential complication among lymphoma patients. We evaluated the incidence rate and predictors of VTE in lymphoma patients undergoing chemotherapy. The present study retrospectively studied 1,069 patients with lymphoma who were treated with chemotherapy from 2018 to 2020.

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Wearable motion-monitoring systems have been widely used in recent years. However, the battery energy storage problem of traditional wearable devices limits the development of human sports training applications. In this paper, a self-powered and portable micro-structure triboelectric nanogenerator (MS-TENG) has been made.

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Temporal interference (TI) stimulation is a new technique of non-invasive brain stimulation. Envelope-modulated waveforms with two high-frequency carriers can activate neurons in target brain regions without stimulating the overlying cortex, which has been validated in mouse brains. However, whether TI stimulation can work on the human brain has not been elucidated.

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