Publications by authors named "Shuo Qin"

Study Objectives: COVID-19 mobility restrictions disrupted daily rhythms worldwide, but how this rhythm disruption differs across age groups is unclear. We examined the course of age-related differences in trajectories of rest-activity rhythm during the COVID-19 pandemic lockdown and reopening in Singapore. We also evaluated the association of these patterns with mental well-being.

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An underlying hypothesis for broad transfer from cognitive training is that the regional brain signals engaged during the training task are related to the transfer tasks. However, it is unclear whether the brain activations elicited from a specific cognitive task can generalize to performance of other tasks, esp. in normal aging where cognitive training holds much promise.

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The regularity of sleep/wake patterns across multiple days is emerging as an important determinant of health. However, the association between sleep regularity and health outcomes in the aging population is not well understood. The current systematic review identified 22 publications that examined the relationship between sleep regularity and selected health outcomes: cardiovascular risk, cognitive impairment, and mortality.

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Objectives: Cognitive training (CT) has been investigated as a means of delaying age-related cognitive decline in older adults. However, its impact on biomarkers of age-related structural brain atrophy has rarely been investigated, leading to a gap in our understanding of the linkage between improvements in cognition and brain plasticity. This study aimed to explore the impact of CT on cognitive performance and brain structure in older adults.

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Although many excellent nanozymes have been developed, designing and synthesizing highly active nanozymes is still challenging. Here, we developed a metal-based nanozyme (metal = Co, Fe, Cu, Zn) with a three-dimensional network structure. It possesses excellent peroxidase activity and catalyzes the reaction between HO and TMB to produce blue oxTMB, while antioxidants have different reducing power on the oxidation product of TMB (oxTMB), which leads to different absorbance and color changes.

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Nitrite pollution poses a serious threat to human health and the environment. In this study, a reliable and selective electrochemical (EC) sensor was developed for the quantitative determination of nitrite by combining flower-like three-dimensional (3D) MoS microspheres with two-dimensional (2D) CN nanosheets. Benefiting from the synergistic effects of MoS and CN, the 3D MoS/2D CN nanocomposite displayed numerous active sites, a 3D mesoporous structure, high conductivity and excellent catalytic activity.

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Object detection has been widely applied in various fields with the rapid development of deep learning in recent years. However, detecting small objects is still a challenging task because of the limited information in features and the complex background. To further enhance the detection accuracy of small objects, this paper proposes an efficient single-shot detector with weight-based feature fusion (WFFA-SSD).

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Article Synopsis
  • The paper investigates a new spiral plate mini-channel gas cooler designed for supercritical CO, focusing on its heat transfer and pressure drop characteristics.
  • Increasing the mass flux of CO and inlet water temperature improves the overall heat transfer coefficient, with vertical orientation yielding better results than horizontal.
  • A Matlab program confirmed the accuracy of heat transfer correlations based on Zhang's method, providing valuable insights for future gas cooler designs.
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Nanozymes have been relatively well explored, and bimetal-doped nanozymes have attracted much exploration due to their superior catalytic activity. We developed bimetallic FeCu/NPCs and Cu/NPCs nanozymes, which have good catalytic properties due to the coordination of Fe and Cu with N and P. The nanozymes acted as sensing elements in a cascade reaction system to effectively recognize seven terpenoids, including menthol (Men), paeoniflorin (Pae), camphor (Cam), paclitaxel (Pac), andrographolide (Andro), ginkgolide A (Gin A), and piperone (Pip).

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  • The study explores the relationship between physical fitness (strenuous physical activity and cardiorespiratory fitness) and cognitive control in older adults, focusing on how these factors influence brain activity as measured by BOLD signals during cognitive tasks.
  • Results show that high-fit older adults performed similarly to younger adults in terms of task accuracy and exhibited better brain activation patterns during cognitive challenges, specifically in areas associated with working memory.
  • The findings suggest that higher levels of physical fitness can help mitigate age-related declines in brain function and improve cognitive performance, indicating a positive link between physical fitness and cognitive control in older populations.
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Epidemiological studies have demonstrated that particulate matter (PM) can induce or exacerbate hypertension. High relative humidity has been associated with elevated blood pressure in certain regions. However, the coupling effect of humidity and PM on elevated blood pressure and the underlying mechanisms remain unknown.

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  • Multiple studies have shown a connection between sleep and cognitive function in older adults, but many rely on self-reported sleep data and general cognitive tests.
  • The current meta-analysis of 72 studies reveals that objectively measured sleep aspects, like lower night restlessness and shorter sleep onset, are linked to better memory and executive function in older adults.
  • Additionally, the analysis suggests that the quality of sleep (both macrostructure and microstructure) plays a crucial role, with factors such as age, education, and gender influencing these cognitive associations.
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Investigation into methods of addressing cognitive loss exhibited later in life is of paramount importance to the field of cognitive aging. The field continues to make significant strides in designing efficacious cognitive interventions to mitigate cognitive decline, and the very act of learning a demanding task has been implicated as a potential mechanism of augmenting cognition in both the field of cognitive intervention and studies of cognitive reserve. The present study examines individual-level predictors of complex skill learning and day-to-day performance on a gamified working memory updating task, the BirdWatch Game, intended for use as a cognitive intervention tool in older adults.

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Background: Hepatic fibrosis is a widespread disease worldwide. Millions of people lose their lives due to hepatic fibrosis every year. The main causes of hepatic fibrosis include viral infection, alcoholism, and obesity.

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Renal tubular epithelial cell (RTEC) is a critical target cell for the treatment of acute kidney injury (AKI). Despite various RTEC targeting strategies using ligand modified nanoparticles (NPs) following systemic administration, the nonspecific interaction between NPs and plasma proteins greatly weakens the targeting efficiency as well as the stability of NPs. Herein, celastrol (CLT) was entrapped in D-α-tocopherol polyethylene glycol 1000 succinate (TPGS) forming a CLT-loaded nanocomplex core (CT) with a high loading capacity of ~50%.

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Objectives: A study was conducted to investigate the value of preoperative peripheral blood inflammatory indicators in the prediction of tongue squamous cell carcinoma (TSCC) prognosis.

Methods: This retrospective analysis included 210 patients who underwent radical resection for TSCC in the Department of Oral and Maxillofacial Surgery of The First Affiliated Hospital of Zhengzhou University from January 2010 to December 2017. Receiver operating characteristic curve was conducted to determine the best cut-off values of platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR).

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Increases in cardiovascular risks such as high blood pressure and low physical fitness have been independently associated with altered default mode network (DMN) activation patterns in healthy aging. However, cardiovascular risk is a multidimensional health problem. Therefore, we need to investigate multiple cardiovascular risk factors and their contributions to cognition and DMN activations in older adults, which has not yet been done.

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2020 was an unprecedented year, with rapid and drastic changes in human mobility due to the COVID-19 pandemic. To understand the variation in commuting patterns among the Chinese population across stable and unstable periods, we used nationwide mobility data from 318 million mobile phone users in China to examine the extreme fluctuations of population movements in 2020, ranging from the Lunar New Year travel season (), to the exceptional calm of COVID-19 lockdown, and then to the recovery period. We observed that cross-city movements, which increased substantially in and then dropped sharply during the lockdown, are primarily dependent on travel distance and the socio-economic development of cities.

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Article Synopsis
  • This study investigates the diagnostic potential of circulating tumor cells (CTCs) in patients with oral squamous cell carcinoma (OSCC), comparing them to a control group of healthy individuals.
  • Results show that CTC levels in OSCC patients were significantly higher than in the control group, and they correlated with factors like age and tumor stage, but not with demographics like gender.
  • The CTC measurement demonstrated high diagnostic accuracy for OSCC with a sensitivity of 90.3% and specificity of 95.0% at a specific value, suggesting it could be a valuable tool for detecting the disease and assessing metastasis.
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Background: Human migration is one of the driving forces for amplifying localized infectious disease outbreaks into widespread epidemics. During the outbreak of COVID-19 in China, the travels of the population from Wuhan have furthered the spread of the virus as the period coincided with the world's largest population movement to celebrate the Chinese New Year.

Methods: We have collected and made public an anonymous and aggregated mobility dataset extracted from mobile phones at the national level, describing the outflows of population travel from Wuhan.

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Objectives: Arterial elasticity and physical fitness are 2 important cardiovascular health factors that influence cognition in older adults. Working memory capacity (WMC), a core component underlying cognitive aging across many cognitive domains, may be affected by individual differences in cardiovascular health in older adults. This study aims to identify in older adults: (a) separate and combined effects of these 2 cardiovascular health factors on WMC and (b) which of the 2 factors is more critical in influencing WMC.

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Objective: This study aims to evaluate the clinical effect of oral repair membrane and β-tricalcium phosphate (β-TCP) on the treatment of jaw cyst.

Methods: A retrospective analysis was performed on 81 cases of jaw cysts, and clinical data were collected for the comparison of traditional surgical curettage (group A, 27 cases), biofilm covering bone wounds after curettage (group B, 27 cases), and β-TCP filling combined with biofilm covering.

Results: No recurrence occurred in 81 patients, and no significant difference in preoperative CT value among the three groups (P<0.

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Article Synopsis
  • The study investigates how cardiovascular risk factors like high blood pressure and low fitness affect brain activity during task-switching in older adults, as previous research on this topic is limited.
  • It finds that both low physical fitness and low arterial plasticity independently reduce brain activity in certain areas, and their combined effects are even more significant.
  • The research also reveals that older adults with lower fitness levels show excessive activation in the frontal cortex, which may hinder their task performance and contribute to age-related changes in brain function.
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Background: A large amount of evidence has indicated an association between depression and HIV risk among men who have sex with men (MSM), but traditional questionnaire-based methods are limited in timely monitoring depressive emotions with large sample sizes. With the development of social media and machine learning techniques, MSM depression can be well monitored in an online and easy-to-use manner. Thereby, we adopt a machine learning algorithm for MSM depressive emotion detection and behavior analysis with online social networking data.

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Synopsis of recent research by authors named "Shuo Qin"

  • - Shuo Qin's recent research spans cognitive science, particularly focusing on the effects of cognitive training and physical activity on brain function and health in older adults, highlighting the relationship between cognitive performance and brain integrity.
  • - The author has also investigated the significance of sleep regularity on cardiovascular health and cognitive impairment in older adults, emphasizing its emerging role as a key determinant of health in this population.
  • - Additionally, Qin has contributed to advancements in nanozyme technology for biochemical sensing, exploring novel metal-based structures and their applications in detecting various health-related substances.