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5041
mbX: An R Package for Streamlined Microbiome Analysis
Published 2025-05-01“…Here, we introduce the mbX package: an R-based tool designed to streamline 16S rRNA gene microbiome data analysis following taxonomic classification. …”
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5042
Eye-tracking Analysis of Interactive 3D Geovisualization
Published 2017-05-01“…This paper describes a new tool for eye-tracking data and their analysis with the use of interactive 3D models. …”
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5043
Clinicopathological analysis of IgA nephropathy combined with hyperuricemia
Published 2016-01-01“…Objective To investigate the clinicopathological characteristics of IgA nephropathy combined with hyperuricemia in order to reveal the clinical significance of IgA nephropathy associated with hyperuricemia.Methods We retrospectively reviewed the clinical data of 270 patients with IgA nephropathy diagnosed by renal biopsy from June 2006 to December 2012.The patients were divided into the two groups:IgA nephropathy patients with or without hyperuricemia.The sex,age,systolic blood pressure,24-h urine protein,serum uric acid,and serum creatinine were measured.All patients underwent renal pathological examination and Lee’s classification.A comparative analysis of clinical manifestations and renal pathological injuries was performed between the two groups,and the pathological parameters of patients with normal renal function were further analyzed.Results The prevalence of hyperuricemia in patients with IgA nephropathy was 25.19%.The systolic blood pressure,24-h urine protein and serum creatinine level were higher in the hyperuricemia group than in the normal group.The renal pathological changes in the hyperuricemia group were more severe than those in the normal uric acid group.The proportion of renal tubular interstitial lesions and renal artery lesions in the hyperuricemia group was higher than in the normal renal function group.The proportion of renal artery stenosis and renal tubular interstitial chronic lesions in the patients with hyperuricemia group was higher than in normal serum uric acid group.Conclusions The clinical manifestations and renal pathological changes of patients with IgA nephropathy combined with hyperuricemia are more serious than those with normal serum uric acid level,in particular,the effects of renal tubular interstitial lesions and renal vascular lesions were more obvious,and the clinical prognosis is not good.Timely and effective treatments are needed.…”
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5044
Analysis of Factors Affecting the Innovation Level of Agricultural Operators
Published 2024-02-01“…In this research, considering the characteristics of the data collected by the questionnaire, the linear regression model, which uses functional forms in regression models, was used. …”
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5045
Artificial intelligence analysis in cyber domain: A review
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5046
Population pharmacokinetic analysis of intravenous voriconazole in cancer patients.
Published 2025-01-01“…<h4>Purpose</h4>The pharmacokinetics of voriconazole have been studied across various populations but data specific to the Pakistani cancer population has not yet been reported. …”
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5047
ANALYSIS OF SEDIMENTATION TRENDS IN EFFORTS FOR SUSTAINABILITY AT WONOREJO RESERVOIR
Published 2022-03-01Get full text
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5048
Acupuncture for the Treatment of Liver Cirrhosis: A Meta-analysis
Published 2020-01-01“…Further, we used Review Manager 5.3 software for the analysis of the data and Stata 14.0 software for the Egger test to assess publication bias. …”
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5049
Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women.
Published 2016-01-01“…In agreement with previous studies, functional analysis suggested that labour was characterised by an increase in the expression of inflammatory genes and network analysis suggested a strong neutrophil signature. …”
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5050
Gene circuit analysis of the terminal gap gene huckebein.
Published 2009-10-01“…We show how considering variability in the data combined with analysis of parameter determinability significantly improves the biological relevance and consistency of the approach. …”
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5051
The cancer stem cells characteristics analysis of LGR5 + cells that influence lung cancer risk by using single cell RNA-seq analysis
Published 2025-05-01“…The FindMarkers function and “ClusterProlifer” package was used for differentially expressed genes (DEGs) and function enrichment analysis. …”
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5052
An Analysis Of Religious And Cautionary Inscription And Sticker Texts In Nigeria
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5053
Hardcoded vulnerability detection approach for IoT device firmware
Published 2022-10-01“…With the popularization of IoT devices, more and more valuable data is generated.Analyzing and mining big data based on IoT devices has become a hot topic in the academic and industrial circles in recent years.However, due to the lack of necessary detection and protection methods, many IoT devices have serious information security risks.In particular, device hard-coded information is closely related to system encryption and decryption, identity authentication and other functions, which can provide confidentiality protection for core data.Once this information is exploited by malicious attackers, serious consequences such as sensitive information leakage, backdoor attacks, and unauthorized logins will occur.In response to this problem, a multi-type character recognition and positioning scheme was designed and a hard-coded vulnerability detection method in executable files was proposed based on the study of the characteristics of hard-coded vulnerabilities in IoT devices.The proposed method extracted the firmware of IoT devices and filtered all executable files as the source to be analyzed.Then, a solution to identify and locate three types of hard-coded characters was provided.Further, the reachability of the function, where the hard-coded character was located, was analyzed according to the function call relationship.Meanwhile, the instruction heterogeneity was mitigated by an intermediate representation (IR) model.The character and parameter hard-coded values was obtained through a data flow analysis approach.A symbolic execution method was devised to determine the trigger conditions of the hard-coded vulnerabilities, and then the vulnerability detection result was output.On the one hand, the proposed method introduced the method of symbolic execution based on the use of the intermediate representation model, which eliminated the dependency of instruction architecture and reduces the false positive rate of vulnerabilities; On the other hand, this method can integrate characters, files, and cryptographic implementation to realize the different characteristics of three types of hard-coded characters, which increased the coverage of vulnerability detection and improves the versatility of the detection method.The experimental results show that the proposed method can effectively detect three types of hard-coded vulnerabilities of characters, files and cryptographic implementation in various IoT devices, and has good detection accuracy, which can provide certain guidance for the deployment of subsequent security protection technologies.…”
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5054
Wearable Sensors and Computational Intelligence in Alpine Skiing Analysis
Published 2025-01-01“…This paper focuses on motion analysis in alpine skiing using real accelerometric, gyroscopic, positioning, and video data to evaluate ski movement patterns. …”
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5055
Citespace-Based Bibliometric Analysis of Englishes: Insights and Trends
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5056
COMPARATIVE ANALYSIS OF CONTRACTS FOR THE TRANSFER OF RESIDENTIAL PREMISES FOR USE
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5057
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5058
Bayesian technical efficiency analysis of groundnut production in Ghana
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5059
A different perspective on studying stroke predictors: joint models for longitudinal and time-to-event data in a type 2 diabetes mellitus cohort
Published 2025-04-01“…Both submodels were then combined into a joint model. To optimize the analysis, a univariate analysis was first performed for each longitudinal predictor to select the functional form that gave the best fit via the deviance information criterion. …”
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5060
Prognostic analysis of bladder cancer with neddylation-related genes
Published 2025-06-01“…Additionally, a protein–protein interaction (PPI) network, gene set enrichment analysis (GSEA), and BLCA single-cell sequencing data were utilized to explore the functional roles of hub genes in BLCA and their impact on biological pathways. …”
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