Publications by authors named "Chen Xiaolong"

Objective: Failure to understand long-term quality of life and functional outcomes hinders effective decision making and prognostication. Therefore, the study aims to predict and analyse the unfavorable outcomes (FOs) in elderly patients undergoing lumbar fusion surgery.

Methods: Consecutive 382 patients who underwent lumbar fusion surgery for lumbar degenerative disease from March 2019 to July 2022 were enrolled in this study.

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Boson peaks are observed in glassy materials due to atom, spin, and strain disordered states that provide additional vibration modes at low temperatures. However, Boson peaks have not been observed in pure dipole disordered systems without structural disorder. Here, we report the observation of a Boson-peak-like hump in specific heat near 7 K in organic-inorganic hybrid crystal MA_{4}InCl_{7}(MA=CH_{3}NH_{3}).

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Study Design: Reliability study.

Objectives: The radiographic diagnosis of non-union is not standardized. Prior authors have suggested using a cutoff of <1 mm interspinous process motion (ISPM) on flexion-extension radiographs, but the ability of practicing surgeons to make these measurements reliably is not clear.

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Nephrolithiasis is one of the most common diseases in urology, characterized by notable incidence and recurrence rates, leading to significant morbidity and financial burden. Despite its prevalence, the precise mechanisms underlying stone formation remain incompletely understood, thus hindering significant advancements in kidney stone management over the past three decades. Investigating the pivotal biological molecules that govern stone formation has consistently been a challenging and high-priority task.

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The coordinated development of the carbon neutral peak target and dual cycle strategy is an important link to realize the transformation of ecological green and low carbon and also an important carrier of high-quality economic development. Based on the inherent requirements of the synergistic effect of pollution control and carbon emission reduction and high-quality economic development, the coupling mechanism of pollution control and carbon emission reduction and high-quality economic development was discussed. Taking the three major urban agglomerations in China as examples, the comprehensive index system of the synergistic effect of pollution control and carbon emission reduction and high-quality economic development were constructed, respectively.

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The application of peracetic acid (PAA) in the advanced oxidation process has been demonstrated to be an effective approach for treating aqueous organic pollutants. In this study, it is the first time that biogas residue biochar (BRBC) derived from sludge anaerobic digestion plants was prepared and used as a PAA activator for sulfamethoxazole (SMX) degradation. The optimal SMX removal could achieve 92 % within 120 min under acidic conditions.

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Conventional antibiotics are limited by drug resistance, poor penetration, and inadequate targeting in the treatment of bacterial biofilm-associated infections. Microbubble-based ultrasound (US)-responsive drug delivery systems can disrupt biofilm structures and enhance antibiotic penetration through cavitation effects. However, currently developed US-responsive microbubbles still depend on antibiotics and lack targeting capability.

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Article Synopsis
  • - The study analyzes the quality of life (QoL) of elderly rheumatoid arthritis (RA) patients in Zunyi, China, comparing those under 60 years old to those 60 and older, using data from 1166 patients.
  • - Results show that older patients experience lower recovery levels, higher inflammatory markers, and significantly worse QoL scores on various health metrics compared to younger patients.
  • - The findings highlight the urgent need to improve RA treatment strategies for elderly patients to address their increased disease activity, poorer QoL, and higher rates of health complications and infections.
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Metal organic frameworks (MOFs) are widely used as precursors due to their tunable morphology and high specific surface area. Molybdenum nitride (MoN) and molybdenum carbide (MoC) are promising catalyst materials with electronic structures similar to the noble metal platinum. However, the preparation and modification of the composite systems comprising MoN and MoC are complex, often leading to significant agglomeration and limiting their application in various catalytic fields.

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Empowered by wavefront shaping (WFS) techniques, scattering materials (SMs) hold significant potential in high-capacity, high-fidelity, and crosstalk-free 3D holographic projections. Here, we present an optimal accumulation algorithm (OAA) to generate binary amplitude holograms that enable simultaneous control of 3D intensity and polarization distributions through SMs. In particular, OAA is efficient for creating binary holograms since only addition and comparison operations are required.

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Article Synopsis
  • - The study investigates intervertebral disc degeneration (IDD) using a multi-omics approach that integrates single-cell RNA sequencing and gene expression analysis to understand its genetic basis.
  • - Researchers identified 1,164 differentially expressed genes (DEGs) across four key cell types involved in IDD, with a focus on 122 genes related to programmed cell death.
  • - Key regulatory genes such as SLC40A1, PTGS2, and GABARAPL1 were highlighted for their potential therapeutic roles in treating IDD, and the study also uncovered distinct cell subpopulations and gene expression dynamics.
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A retrospective study reported that empagliflozin reduced the risk of urinary stone events in patients with diabetes mellitus. To further investigate empagliflozin's potential, we conducted an animal experiment to determine whether empagliflozin can prevent renal stone formation in hyperoxaluria rats. Hyperoxaluria rat models were constructed by administrating 0.

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Background: Intervertebral disc degeneration (IDD) is widely regarded as the primary contributor to low back pain(LBP). As an immune-privileged organ, upon the onset of IDD, various components of the nucleus pulposus (NP) are exposed to the host's immune system, accumulating cytokines. Cytokines facilitate intercellular communication within the immune system, induce immune cells polarisation, and exacerbate oxidative stress in IDD.

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True random numbers are crucial for various research and engineering problems. Their generation depends upon a robust physical entropy noise. Here, we present true random number generation from the conductance noise probed in structurally metastable 1T' molybdenum ditelluride (MoTe).

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Background: The shoulder microbiome is an emerging field in orthopedic research. Large synovial joints which were typically considered to be sterile now have strong evidence demonstrating the presence of native organisms colonizing the joint. Many of the conditions that surgeons see and treat in the shoulder, including osteoarthritis, rotator cuff tears, and adhesive capsulitis, have unclear etiology.

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Neural networks as a core information processing technology in machine learning and artificial intelligence demand substantial computational resources to deal with the extensive multiply-accumulate operations. Neuromorphic computing is an emergent solution to address this problem, allowing the computation performed in memory arrays in parallel with high efficiencies conforming to the neural networks. Here, scalable synaptic transistor memories are developed from solution-sorted carbon nanotubes.

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Background: Osteoporosis, a prevalent bone metabolic disease, often requires long-term drug treatments that may lead to serious side effects. Trehalose, a natural disaccharide found in various organisms, has been shown to have a promoting effect on autophagy. However, whether trehalose can improve bone mass recovery in ovariectomized rats and its underlying mechanisms remains unclear.

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Article Synopsis
  • The study investigates the effectiveness of the Enhanced Recovery After Surgery (ERAS) protocol for elderly patients over 70 undergoing complex spinal surgeries for degenerative conditions.
  • It compares clinical outcomes between patients treated under ERAS (2020-2021) and those who received standard care (2017-2018), focusing on factors like length of hospital stay (LOS) and complications.
  • Results show that ERAS significantly reduced LOS (from 14.89 days to 11.67 days) and the total number of complications, without affecting readmission rates, highlighting the benefits of ERAS for this patient group.
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Article Synopsis
  • Medical image segmentation is essential for accurate diagnosis and treatment, with a focus on both traditional techniques like thresholding and edge-based methods, and modern deep learning approaches.
  • Traditional methods are efficient but struggle with complex and noisy images, leading to a shift toward advanced deep learning models such as CNNs, U-Nets, and GANs for improved accuracy.
  • The review highlights the benefits of combining deep learning with traditional methods, addressing their limitations and showcasing how hybrid strategies can enhance segmentation, especially in challenging conditions.
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The Walker circulation is projected to slow down in response to greenhouse gas warming. However, detecting the impact of human activities on changes in the Walker circulation is challenging due to the significant influence of internal variability. Here, based on ensembles of multiple climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), we show evidence that the emergence of the human-induced weakening of Walker circulation tends to occur earlier in the middle-upper troposphere than at the surface.

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Background: Degenerative lumbar disease significantly impairs the quality of life in elderly individuals, with short-segment lumbar degenerative disease being particularly prevalent. When conservative treatment proves ineffective, surgical intervention becomes the optimal choice for managing lumbar disease. The implementation of Enhanced Recovery After Surgery (ERAS) in spinal surgery has been progressively refined, leading to greater patient benefits.

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With the diminishing availability of oil and gas resources, the Rotary Steerable System has become increasingly important. However, the vibrations and shocks during the drilling process pose challenges to the Measurement While Drilling. In recent years, the application of machine learning in the field of petroleum exploration has gradually expanded, especially in the estimation of geological parameters and lithology discrimination.

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Economic institutional change is a vital driving force behind the rapid rise of China's economy. However, the incremental approach to economic institutional change has caused unbalanced transformation and economic growth. To this end, we adopted the entropy method to measure the economic institutional change index, and employed social network analysis to reveal its spatial correlation characteristics.

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