Publications by authors named "Xinyan Xie"

Background: This study sought to identify sleep patterns in older adults residing in rural regions, as well as investigate the potential influence of dietary nutrient intake on these patterns.

Methods: Data were collected from a cross-sectional sample of Qingdao Town, Shandong Province, China. The study investigated 1,167 elderly participants using a general questionnaire, the Pittsburgh Sleep Quality Index, the simplified Food Frequency Questionnaire, and 24-h dietary recall methods.

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  • This study focused on creating machine learning models to identify predictive features of dementia in older adults who initially showed normal cognition.
  • Four models were developed and tested, with the random forest model showing the highest accuracy (93%) using factors like memory test results, education, and follow-up time.
  • The findings suggest that this machine learning approach can effectively predict dementia in primary healthcare settings, helping to track cognitive changes and enable early intervention.
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Background: The prevalence of depressive symptom in adolescents has sharply increased over the past decade. Depressive symptom during adolescence could hinder the development of social, cognitive, and psychological competencies, potentially influencing young adults' lifestyle factors. This study aimed to identify trajectories of depressive symptom from adolescence to early adulthood and evaluated their association with lifestyle factors in early adulthood.

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Background: Developmental dyslexia, a complex neurodevelopmental disorder, not only affects children's academic performance but is also associated with increased healthcare costs, lower employment rates, and reduced productivity. The pathogenesis of dyslexia remains unclear and it is generally considered to be caused by the overlap of genetic and environmental factors. Systematically exploring the close relationship between exposure to environmental compounds and susceptibility genes in the development of dyslexia is currently lacking but high necessary.

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  • The study examines the link between functional variants in long non-coding RNA genes and autism spectrum disorder (ASD), finding a significant association with the SNP rs2295412.
  • It shows that each additional C allele reduces the risk of ASD by 19%, but gut microbiota does not significantly mediate this relationship.
  • The findings suggest that lncRNA variants are important in ASD risk, and further research is needed to explore other potential mechanisms involved.
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Objectives: Fibromyalgia (FM) has been associated with decreased hippocampal volume; however, the atrophy patterns of hippocampal subregions have not yet been identified. We therefore aimed to evaluate the volumes of hippocampal subregions in FM patients with mild cognitive impairment (MCI), and to explore the relationship between different subregional alterations and cognitive function.

Methods: The study included 35 FM patients (21 with MCI and 14 without MCI) and 35 healthy subjects.

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Volume visualization plays a significant role in revealing important intrinsic patterns of 3D scientific datasets. However, these datasets are often large, making it challenging for interactive visualization systems to deliver a seamless user experience because of high input latency that arises from I/O bottlenecks and limited fast memory resources with high miss rates. To address this issue, we have proposed a deep learning-based prefetching method called RmdnCache, which optimizes the data flow across the memory hierarchy to reduce the input latency of large-scale volume visualization.

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Osteoporosis has gradually become a major public health problem. Further elucidation of the pathophysiological mechanisms that induce osteoporosis and identification of more effective therapeutic targets will have important clinical significance. Experiments on bone marrow stem cells (BMSCs) subjected to osteogenic and adipogenic differentiation and on surgical bilateral ovariectomy (OVX) mouse models revealed that exosomes of vascular endothelial cells (EC-EXOs) can promote osteogenic differentiation of BMSCs and inhibit BMSC adipogenic differentiation through miR-3p-975_4191.

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  • The study investigates the link between air pollution and the risk of mild cognitive impairment (MCI) in older adults in China, using data from the Hubei Memory and Aging Cohort Study.
  • Results show that higher levels of pollutants like PM2.5 and PM10 significantly increase the odds of developing MCI, particularly in older individuals.
  • The findings highlight the need for more research across different populations to further understand and address the impact of air pollution on cognitive health in aging populations.
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Objectives: The prevention of cognitive impairment in the elderly is one of the public health priority areas. However, the relationship between closed-eye unipedal standing and cognitive impairment remains unclear.

Methods: This study was conducted on a group of elderly individuals from a community, using a prospective cohort study design.

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Vascular endothelial cells have recently been shown to be associated with osteogenic activity. However, the mechanism of vascular endothelial cells promoting osteogenesis is unclear. Here, we found that exosomes secreted from human microvascular endothelial cells (HMEC-1) promoted osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) and inhibited adipogenic differentiation.

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Background: In recent years, the physical fitness situation of college students is worrying in China. Exercise motivation is of great importance for the physical activity and physical fitness. However, existing studies have paid limited attention to the specific effect between exercise motivation, physical activity and physical fitness, and even less to the different genders and exercise motivation dimensions.

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Ethylene oxide is commonly used in industrial synthesis and medical disinfection. It is a known human carcinogen and has neurotoxicity. However, the association between ethylene oxide exposure and neurodevelopmental disorders remains unclear.

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Background: The psychological situation of high school students during adolescence is not promising, and the most obvious manifestation is the lack of subjective well-being (SWB). This network analysis presents a model of the interaction and correlation between different items of SWB, identifying the most central items for high school students.

Methods: Through offline and online surveys, 4,378 questionnaires were sent out and finally 4,282 Chinese high school students were available.

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  • Subjective cognitive decline (SCD) is reported in 58.33% of older adults, with higher rates in rural areas and among females.
  • The study involved 7,486 participants aged around 71, assessing correlations between SCD and objective cognitive decline (OCD) across various cognitive functions.
  • SCD could indicate early signs of OCD, suggesting the need for preventive measures against dementia, with health and lifestyle factors playing a significant role in increased SCD risk.
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  • Perchlorate, thiocyanate, and nitrate are chemicals that hinder iodide uptake in the thyroid and may affect child development, with no prior studies linking them specifically to dyslexia.
  • A study on 355 children with dyslexia and 390 without from China found a significant association between urinary thiocyanate levels and an increased risk of dyslexia, especially in boys and those with specific developmental factors.
  • The research highlights thiocyanate's potential neurotoxic effects related to dyslexia, suggesting further investigation is needed to understand the underlying mechanisms.
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Leaf numbers are vital in estimating the yield of crops. Traditional manual leaf-counting is tedious, costly, and an enormous job. Recent convolutional neural network-based approaches achieve promising results for rosette plants.

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Objective: Rising evidence has indicated that long non-coding RNA (lncRNA) may play an essential role in the development of autism spectrum disorder (ASD). However, identifying the lncRNAs associated with ASD and the risk loci on them remains a major challenge. This study aims to identify potential causative variants and explore the related mechanisms.

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  • * The highest infection rate was found in preweaned calves (33.7%), with lower rates in postweaned calves (24.5%), growing cattle (23.0%), and adults (17.3%).
  • * Genetic analysis showed that the majority of infections were due to assemblage E, while mixed infections with assemblage A were also detected; this study establishes important baseline data for managing protozoon infections in dairy cattle.
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Automated driving systems (ADSs) conceive an efficient and safe way of driving. The safety of ADSs depends on a precise object detector that needs to be upgraded continuously facing various environments. Massive annotations are required to utilize collected images of surroundings through vehicles and accommodate new environments.

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Temporal lobe epilepsy (TLE) is a chronic neurological disorder that is divided into two subtypes, complex partial seizures (CPS) and simple partial seizures (SPS), based on clinical phenotypes. Revealing differences among the functional networks of different types of TLE can lead to a better understanding of the symbology of epilepsy. Whereas Although most studies had focused on differences between epileptic patients and healthy controls, the neural mechanisms behind the differences in clinical representations of CPS and SPS were unclear.

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Background: Excessive exposure to manganese is harmful for neurodevelopment, causing intellectual disability, decreased cognitive ability and diminished language quotients. However, little is known about the link between manganese, genetic susceptibility and the risk of dyslexia. We aim to examine the association between manganese exposure and dyslexia and to test whether the SLC6A3 gene would modify this relationship.

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Numerous studies have been conducted to explore the risk factors for reading disabilities (RDs) among children. Based on these studies, factors such as gender, socioeconomic status, and the home literacy environment have been widely found to be associated with children who have RDs. However, children from a multiethnic city are seldom investigated.

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This study, nanoscale α-, β-, γ-cyclodextrin (CD)-metal-organic frameworks (MOFs) were successfully prepared using solvothermal assisted ultrasound method. CD-MOFs were used as nanocarriers to encapsulate catechin (CA), and their encapsulation capacities were evaluated. Encapsulation capacities of CD-MOFs to incorporate CA followed the order: β-CD-MOFs > γ-CD-MOFs > α-CD-MOFs.

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