839 Result(s)
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Open AccessA-to-I RNA co-editing predicts clinical outcomes and is associated with immune cells infiltration in hepatocellular carcinoma
Aberrant RNA editing has emerged as a pivotal factor in the pathogenesis of hepatocellular carcinoma (HCC), but the impact of RNA co-editing within HCC remains underexplored. We used a multi-step algorithm to ...
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Open AccessVirtual Experiences, Real Memories? A Study on Information Recall and Recognition in the Metaverse
There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in the metaverse has been called into question when undertaking everyday activities (e.g., working,...
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Open AccessSource and level of dietary iron influence semen quality by affecting inflammation, oxidative stress and iron utilization levels in boars
Boars fed a mixed form of inorganic and organic iron in excess of the NRC recommended levels still develop anemia, which suggested that the current level and form of iron supplementation in boar diets may be i...
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Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning
To develop logistic regression nomogram and machine learning (ML)-based models to predict 3-month unfavorable functional outcome for acute ischemic stroke (AIS) patients undergoing reperfusion therapy.
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Lithology Identification of UAV Oblique Photography Images Based on Semantic Segmentation Neural Network Algorithm
Intelligent identification of the different lithology of outcrops has been a major research challenge in the field of geology. The manual identification of outcrop lithology is labor-intensive and lacks system...
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Optimizing Blasting Schemes: A Comprehensive Approach through Macro–Micro Simulation and Field Experiment
The contour sha** effect of hard granite tunnels is relatively unsatisfactory, and the research on the influence of various blasting parameters on this effect lacks sufficient depth. This paper aims to analy...
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A depression detection model based on multimodal graph neural network
Depression is a prevalent mental illness, especially major depression, which has a negative impact on individuals and society. In clinical practice, doctors diagnose depression primarily based on self-reported...
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Open AccessThe association between systemic immune-inflammation index and cardiotoxicity related to 5-Fluorouracil in colorectal cancer
The cardiotoxicity related to 5-Fluorouracil (5-FU) in cancer patients has garnered widespread attention. The systemic immune-inflammation index (SII) has recently been identified as a novel predictive marker ...
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Article
Acute lymphoblastic leukaemia
Acute lymphoblastic leukaemia (ALL) is a haematological malignancy characterized by the uncontrolled proliferation of immature lymphoid cells. Over past decades, significant progress has been made in understan...
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Open AccessDevelopment and application of a risk nomogram for the prediction of risk of carbapenem-resistant Acinetobacter baumannii infections in neuro-intensive care unit: a mixed method study
This study aimed to develop and apply a nomogram with good accuracy to predict the risk of CRAB infections in neuro-critically ill patients. In addition, the difficulties and expectations of application such a...
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Open AccessDevelopment of the neonatal pain response variable set: a mixed methods consensus process
While over 40 neonatal pain assessment scales have been published, owing to a lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality diff...
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Open AccessEfficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the clo...
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Open AccessTreatment of neonatal dural arteriovenous fistula with a spiral coil combined with glue
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Circ_100549 promotes tumor progression in lung adenocarcinoma through upregulation of BIRC6
Lung adenocarcinoma (LUAD) is a subtype of lung cancer with high incidence and mortality globally. Emerging evidence suggests that circular RNAs (circRNAs) exert critical functions in human cancers, including ...
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Migration and transformation mechanisms of iron in clayey sediments during compaction: studies using simulation experiments
The behavior of iron (Fe) in clayey aquitards has a significant effect on the groundwater environment. However, the release processes and impact of Fe within clayey sediments during compaction remain unknown. ...
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An effective parallel convolutional anomaly multi-classification model for fault diagnosis in microservice system
Microservice architecture is a new technology for deploying large-scale applications and services in the cloud. But multivariate time series data with anomalies are increasingly generated in the cloud. Effecti...
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Open AccessMTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamic...
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Open AccessPrediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning
Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2–5 days conventionally to return the re...
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Open AccessMulti-cohort study on cytokine and chemokine profiles in the progression of COVID-19
Various substances in the blood plasma serve as prognostic indicators of the progression of COVID-19. Consequently, multi-omics studies, such as proteomic and metabolomics, are ongoing to identify accurate bio...
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N-th root slant stack for enhancing weak seismic signals
Seismic imaging of complicated underground structures with severe surface undulation (i.e., double complex areas) is challenging owing to the difficulty of collecting the very weak reflected signal. Enhancing ...