Publications by authors named "Zhou Yiyi"

In phase-sensitive optical time domain reflectometer (φ-OTDR) based distributed acoustic sensing (DAS), correct identification of event types is challenging in complex environments where multiple events happen simultaneously. In this study, we have proposed a convolutional neural network (CNN) with a separation module and an identification module to simultaneously separate a mixed event into individual single-event components and identify each type of component contained in the mixed event. The domain transfer method is used in the training, fine-tuning, and testing of the proposed CNN, which saves 94% of the workload for massive DAS data collection and signal demodulation.

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Purpose: The purpose of this study is to investigate the underlying relationship of diagnosis and therapy between glutamine-fructose-6-phosphate transaminase 2 (GFPT2) and various cancers.

Methods: The Cancer Genome Atlas (TCGA) database was utilized to get gene expression RNAseq and clinical data for 33 tumors. The immunotherapeutic cohorts, including GSE35640, GSE78220, GSE67501, GSE181815, and IMvigor210, were derived from the Gene Expression Omnibus database (GEO) and a previously released article.

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Article Synopsis
  • The article presents a Dynamic Transformer Network (DTNet) designed for vision and language tasks, offering a customizable approach for processing inputs based on their unique characteristics.
  • Unlike traditional static models that depend on expert input and struggle with diverse semantic data, DTNet adapts its processing pathways to enhance accuracy in image captioning.
  • The researchers demonstrate the effectiveness of DTNet through experiments on the MS-COCO dataset, achieving new state-of-the-art results, and make the source code publicly available for further use.
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Disparities in HIV care by socioeconomic status, place of residence, and race/ethnicity prevent progress toward epidemic control. No study has comprehensively characterized the HIV care cascade among people with HIV enrolled in Medicaid - an insurance source for low-income individuals in the US. We analyzed data from 246,127 people with HIV enrolled in Medicaid 2001-2015, aged 18-64, living in 14 US states.

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Article Synopsis
  • Pre-training and fine-tuning are the standard methods for vision-language models, but scaling these models comes with high storage costs and challenges in optimization.
  • Recent advancements in NLP led to a technique called LoRA, which aims to make fine-tuning more efficient by updating only low-rank parameters, but it suffers from significant approximation errors.
  • The proposed momentum imitation learning (MoIL) method improves upon LoRA by optimizing the approximation error and making the adaptation process more efficient, showing better performance in experiments across several vision-language tasks with minimal parameter updates.
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Studies have reported lower incidence of prostate cancer in men living with HIV compared with men without HIV for reasons that remain unclear. Lower prostate cancer screening in men living with HIV could explain these findings. We describe receipt of prostate-specific antigen (PSA) test each calendar year by HIV status in Medicaid beneficiaries enrolled in 14 U.

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Background: People with human immunodeficiency virus (HIV; PWH) in the United States have a lower incidence of colon cancer than the general population. The lower incidence may be explained by differences in receipt of screening. Thus, we sought to estimate colon cancer incidence under scenarios in which Medicaid beneficiaries, with or without HIV, followed the same screening protocols.

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Disparities in HIV care by socioeconomic status, place of residence, and race/ethnicity prevent progress toward epidemic control. No study has comprehensively characterized the HIV care cascade among people with HIV enrolled in Medicaid - an insurance source for low-income individuals in the US. We analyzed data from 246,127 people with HIV enrolled in Medicaid 2001-2015, aged 18-64, living in 14 US states.

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Article Synopsis
  • * Out of 405 stool samples, RLDT identified more cases of Shigella (21%) and ETEC (17%) compared to traditional methods like qPCR and culture, demonstrating a high level of accuracy with sensitivities of 93% for Shigella and 98% for ETEC.
  • * The findings suggest that RLDT is a user-friendly and effective tool for disease surveillance in resource-poor settings, allowing for
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Visible-infrared person re-identification (VI-ReID) is the task of matching the same individuals across the visible and infrared modalities. Its main challenge lies in the modality gap caused by the cameras operating on different spectra. Existing VI-ReID methods mainly focus on learning general features across modalities, often at the expense of feature discriminability.

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Background: An increasing number of cases of autoimmune encephalitis (AE) with co-existing multiple anti-neuronal antibodies have been reported in recent years. However, the clinical significance of the concurrent presence of multiple anti-neuronal antibodies in patients with AE remains unclear.

Methods: We retrospectively enrolled AE patients with multiple anti-neuronal antibodies treated at our center between August 2019 and February 2022.

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The diagnostic assays currently used to detect spp. (Shigella) and enterotoxigenic (ETEC) are complex or elaborate which make them difficult to apply in resource poor settings where these diseases are endemic. The simple and rapid nucleic acid amplification-based assay "Rapid LAMP-based Diagnostic Test (RLDT)" was evaluated to detect (Shigella) and enterotoxigenic Escherichia coli (ETEC) and determine the epidemiology of these pathogens in Kolkata, India.

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MCM8 and MCM9 form a functional helicase complex (MCM8/9) that plays an essential role in DNA homologous recombination repair for DNA double-strand break. However, the structural characterization of MCM8/9 for DNA binding/unwinding remains unclear. Here, we report structures of the MCM8/9 complex using cryo-electron microscopy single particle analysis.

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Background Aims: Radiation therapy is the standard treatment for patients with nasopharyngeal carcinoma (NPC), but relapse occurs in 10% to 20% of patients. The treatment of recurrent nasopharyngeal carcinoma (rNPC) remains challenging. Chimeric antigen receptors (CAR)-T-cell therapy has achieved good outcomes in the treatment of leukemia and seems to be a promising therapeutic strategy for solid tumors.

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The joint toxicological effects of Cd and As(V) mixture on wheat root as affected by environmental factors, such as pH, coexisting cations, and humic acids etc., were investigated using hydroponic experiments. The interaction and toxicological mechanisms of co-existing Cd and As(V) at the interface of solution and roots in presence of humic acid were further explored by incorporating root cell membrane surface potential ψ into a mechanistic model of combined biotic ligand model (BLM)-based Gouy-Chapman-Stern (GCS) model and NICA-DONNAN model.

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Anoikis has therapeutic potential against different malignancies including lung adenocarcinoma. This study used anoikis and bioinformatics to construct a prognostic model for lung adenocarcinoma and explore new therapeutic strategies. Several bioinformatic algorithms (co-expression analysis, univariate Cox analysis, multivariate Cox analysis, and cross-validation) were used to screen anoikis-related genes (ARGs) to construct a risk model.

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5-methyladenosine (m5C) modification regulates gene expression and biological functions in oncologic areas. However, the effect of m5C modification in chronic hypersensitivity pneumonitis (CHP) and idiopathic pulmonary fibrosis (IPF) remains unknown. Expression data for 12 significant m5C regulators were obtained from the interstitial lung disease dataset.

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Article Synopsis
  • The study focuses on identifying potential biomarkers for non-small cell lung cancer (NSCLC) through bioinformatics analysis and gene expression data.
  • Using various methods like gene set enrichment analysis and machine learning algorithms, the researchers pinpointed 181 differentially expressed genes (DEGs) and identified TOP2A as a key marker linked to poor prognosis in lung cancer.
  • TOP2A's overexpression was confirmed in laboratory experiments and has a negative correlation with certain immune cells, highlighting its potential as a biomarker for lung adenocarcinoma and a target for future treatment strategies.
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Background: This research explores the underlying link between diagnosis and therapy between bone morphogenetic protein 1 (BMP1) and various cancers.

Methods: Three immunotherapeutic cohorts, by the composition of IMvigor210, GSE35640, and GSE78220 were obtained from previously published articles and the Gene Expression Omnibus database. The different expressions of BMP1 in various clinical parameters were conducted, and prognostic analysis was executed utilizing Cox proportional hazard regression and Gene Expression Profiling Interactive Analysis.

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Objective: The diagnosis of neuronal intranuclear inclusion disease (NIID) is currently based on CGG repeat expansion in the 5'UTR of the gene, or p62-positive intranuclear inclusions in skin biopsy. The purpose of this study is to explore the value of non-invasive pathological findings in urine sediment cells from NIID patients.

Materials And Methods: Ten patients with clinically suspected NIID were enrolled for skin biopsy and gene screening.

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N6-methyladenosine (m6A) modification plays a pivotal role in post-transcriptionally regulating gene expression and biological functions. Nonetheless, the roles of m6A modification in the regulation of chronic hypersensitivity pneumonitis (CHP) and idiopathic pulmonary fibrosis (IPF) remain unclear. Twenty-two significant m6A regulators were selected from differential gene analysis between the control and treatment groups from the GSE150910 dataset.

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Article Synopsis
  • Image captioning has made progress but still struggles with the quality gap between easy and hard examples, which current methods fail to utilize effectively.
  • The authors introduce a new strategy called Metric-oriented Focal Mechanism (MFM), which focuses on hard examples during training by adjusting reward metrics based on their difficulty.
  • Through extensive testing, MFM demonstrates significant improvements in caption quality for challenging images, achieving state-of-the-art results on the MS COCO benchmark and also showing strong performance on the Flickr30k dataset.
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Despite the exciting performance, Transformer is criticized for its excessive parameters and computation cost. However, compressing Transformer remains as an open problem due to its internal complexity of the layer designs, i.e.

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Nicotinamide adenine dinucleotide (NAD+) metabolism has drawn more attention on neurodegeneration research; however, the role in Amyotrophic Lateral Sclerosis (ALS) remains to be fully elucidated. Here, the purpose of this study was to investigate whether the circulating NAD+ metabolic-related gene signature could be identified as a reliable biomarker for ALS survival. A retrospective analysis of whole blood transcriptional profiles and clinical characteristics of 454 ALS patients was conducted in this study.

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