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Article
Open AccessSimultaneous de novo calling and phasing of genetic variants at chromosome-scale using NanoStrand-seq
The successful accomplishment of the first telomere-to-telomere human genome assembly, T2T-CHM13, marked a milestone in achieving completeness of the human reference genome. The upcoming era of genome study wi...
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Article
Construction and validation of a risk-prediction model for chemotherapy-related cognitive impairment in patients with breast cancer
To identify risk factors of chemotherapy-related cognitive impairment (CRCI) and construct and validate a visual prediction model of such for patients with breast cancer.
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Article
Open AccessMap** crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq
Single-cell whole-genome sequencing methods have undergone great improvements over the past decade. However, allele dropout, which means the inability to detect both alleles simultaneously in an individual dip...
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Article
Effects of a 12-week exercise-based intervention on weight management in overweight or obese breast cancer survivors: a randomized controlled trial
Breast cancer survivors face dual challenges: long-term sequelae of treatment and the risk of recurrent disease. Furthermore, obesity and a sedentary lifestyle can complicate both challenges. We aimed to asses...
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Article
scNanoHi-C: a single-cell long-read concatemer sequencing method to reveal high-order chromatin structures within individual cells
The high-order three-dimensional (3D) organization of regulatory genomic elements provides a topological basis for gene regulation, but it remains unclear how multiple regulatory elements across the mammalian ...
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Article
Effects of polysaccharides on the hydrodynamic parameters of sheet erosion on loessial slopes
The variations in hydrodynamic parameters at different polysaccharides rates and the relationships between sheet erosion modulus and hydrodynamic parameters were analyzed to reveal the hydrodynamic mechanism o...
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Article
Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network
Traditional object recognition algorithms cannot meet the requirements of object recognition accuracy in the actual warehousing and logistics field. In recent years, the rapid development of the deep learning ...
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Article
Remote sensing image classification algorithm based on ridge wave sparse collaborative representation convolutional neural network
Remote sensing image classification is a crucial link when processing remote sensing images. Through classification, remote sensing images are converted into classified features that can be understood and proc...
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Article
Development and validation of a nomogram to predict the risk of breast cancer-related lymphedema among Chinese breast cancer survivors
Breast cancer-related lymphedema (BCRL) is a major long-term complication for post-surgery breast cancer survivors. Although several risk factors have been identified, lifestyle characteristics have been negle...
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Article
Open Accessm6Am-seq reveals the dynamic m6Am methylation in the human transcriptome
N6,2′-O-dimethyladenosine (m6Am), a terminal modification adjacent to the mRNA cap, is a newly discovered reversible RNA modification. Yet, a specific and sensitive tool to directly map transcriptome-wide m6Am is...
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Article
Open AccessTissue-specific 5-hydroxymethylcytosine landscape of the human genome
5-Hydroxymethylcytosine (5hmC) is an important epigenetic mark that regulates gene expression. Charting the landscape of 5hmC in human tissues is fundamental to understanding its regulatory functions. Here, we...
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Article
Open AccessThe m6A methylome of SARS-CoV-2 in host cells
The newly identified Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a global health emergency because of its rapid spread and high mortality. The molecular mechanism of interactio...
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Article
Medical image segmentation algorithm based on multilayer boundary perception-self attention deep learning model
Traditional medical image segmentation methods have problems such as low segmentation accuracy and low adaptive ability. Therefore, many scholars have proposed a medical image segmentation method based on deep...
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Article
Breast Cancer Survivors Report Similar Concerns Related to Return to Work in Developed and Develo** Nations
Aim To determine whether breast cancer survivors (BCS) at work following the diagnosis and/or treatment of breast cancer, in a rapidly develo** country such as China experience similar to return to work challen...
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Article
Additive-multiplicative hazards model for case-cohort studies with multiple disease outcomes
Case-cohort design is an efficient and economical design to study risk factors for diseases with expensive measurements, especially when the disease rate is low. When several diseases are of interest, multiple...
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Chapter and Conference Paper
Hierarchical Attribute-Set Based Encryption for Scalable, Flexible and Fine-Grained Access Control in Cloud Computing
Cloud computing has emerged as the most influential paradigm in recent years. The new computing technology requires users to entrust their data to the cloud provider, which leads to security issues on the outs...
