Publications by authors named "Chenxi Ning"

Background: To date, the prolonged treatment duration and expensive second-line anti-tuberculosis drugs (SLDs) for multidrug-resistant tuberculosis (MDR-TB) can impose a significant financial burden, which may negatively impact treatment outcomes. This study examines the effect of a subsidy policy on treatment outcomes of MDR-TB patient..

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Article Synopsis
  • Quantum entanglement helps in cool tech like teleporting information, but it can be affected by something called decoherence, which messes things up.
  • The scientists came up with a new way to teleport information that doesn’t rely on traditional entangled bits, using a special kind of mixing called hybrid entanglement.
  • They showed that their new teleportation method works well in experiments using light, even when faced with decoherence problems.
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Background: Poor adherence increases the risk of unfavorable outcomes for tuberculosis (TB) patients. Mobile health (mHealth) reminders become promising approaches to support TB patients' treatment. But their effects on TB treatment outcomes remain controversial.

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Lignocellulosic biomass-derived nanocellulose has been attracting more and more attentions due to its distinguished advantages and various applications, but its development has been restricted by the preparation especially with environmental friendly approach. Herein, lignin-containing cellulose nanofibrils (LCNF) was prepared from corncob via the combined pretreatment of choline chloride-based DES (ChCl-DES) and enzymatic hydrolysis followed by high-pressure homogenization. The effects of different types of ChCl-DES on the properties of LCNF were investigated and compared.

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Predicting the associations between microRNAs (miRNAs) and diseases is of great significance for identifying miRNAs related to human diseases. Since it is time-consuming and costly to identify the association between miRNA and disease through biological experiments, computational methods are currently used as an effective supplement to identify the potential association between disease and miRNA. This paper presents a Multi-view Kernel Fusion Network (MvKFN) based prediction method (MvKFN-MDA) to address the problem of miRNA-disease associations prediction.

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Motivation: Predicting the association between microRNAs (miRNAs) and diseases plays an import role in identifying human disease-related miRNAs. As identification of miRNA-disease associations via biological experiments is time-consuming and expensive, computational methods are currently used as effective complements to determine the potential associations between disease and miRNA.

Results: We present a novel method of neural inductive matrix completion with graph convolutional network (NIMCGCN) for predicting miRNA-disease association.

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Objective/background: This study assessed the prevalence and correlates of various sleep disturbances in HIV-infected patients compared to sex- and age-frequency-matched HIV-uninfected controls in China.

Methods: This cross-sectional analysis included 1469 HIV-infected cases and 2938 HIV-uninfected controls. Insomnia symptoms, poor sleep quality (Pittsburgh Sleep Quality Index [PSQI] >5) as well as their specific domains, were assessed.

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Background: Inconclusive results have been reported in studies evaluating the association between HIV infection and subclinical atherosclerosis. Unsolved issues include whether the increased atherosclerosis burden observed in some studies is attributed to greater prevalence of traditional risk factors or HIV infection. Therefore, we evaluated the association of HIV infection with subclinical atherosclerosis as assessed by carotid artery intima-media thickness, while controlling for the effects of traditional risk factors as operationalised by the Framingham risk score (FRS).

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HIV-infected (HIV+) women may be more vulnerable to neurocognitive impairment (NCI) due to psychological and physiological factors but previous studies show mixed findings. We investigated the neurocognitive performances in HIV+ versus HIV- women and men. This cross-sectional analysis included 669 HIV+ patients (223 women) and 1338 HIV-uninfected (HIV-) controls (446 women) which were frequency matched on sex, education, and 5-year age categories.

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Magnetic FeO nanoparticles were prepared and embedded into the Combi-CLEAs to produce the magnetic Combi-CLEAs in this work. The process for magnetic Combi-CLEAs preparation was optimized, and its properties were investigated. The optimum temperature, thermal stability and optimum pH of magnetic Combi-CLEAs were similar to those of Combi-CLEAs.

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Herein, we reported that Rhodobacter sphaeroides (R. sphaeroides) can be engineered by heterologous expression of an alcohol dehydrogenase (adh) from Leifsonia sp. to build a light-driven cofactor regeneration system for synthesis of chiral alcohol.

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Purpose: There is a paucity of research on reducing dressing adherence. This is partly due to lack of an in vitro model, recreating the clinical variability of wounds. Previously we described an in vitro gelatin model to evaluate adherence in a standardized manner.

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Lodderomyces elongisporus LH703 isolated from soil samples contained three novel aldo-keto reductases (AKRs) (LEAKR 48, LEAKR 49, and LEAKR 50). The three enzymes were cloned, expressed, and purified to homogeneity for characterization. These three AKRs shared <40% amino acid identity with each other.

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An alternative strategy for cofactor regeneration in the synthesis of valuable chiral alcohols catalyzed by ketoreductases was developed. combi-CLEAs of ketoreductase and d-glucose dehydrogenase enabled the repeated and effective conversion of substrate ethyl 4-chloro-3-oxobutanoate (COBE) with several superiorities. Wide application of this strategy in production of various chiral alcohols could be expected in the future for its high efficiency with low cost.

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Traditional wound dressings, including cotton gauze, absorbent pads and bandages, can cause trauma and pain to wounds during dressing changes, leading to a variety of physical and psychosocial sequelae. The aim of this study was to adapt an in vitro model of adherence to evaluate the effects of various methods to theoretically reduce the adherence of wound dressings. Gelatin in liquid form was cast onto poly(ethylene terephthalate) (PET) fabric and allowed to solidify and progressively dry to simulate wound desiccation in the clinical setting.

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