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Analysis of p53-Independent Functions of the Mdm2-MdmX Complex Using Data-Independent Acquisition-Based Profiling
Published 2025-05-01“…Background: We utilized data-independent acquisition (DIA) to study the poorly understood biology of Mdm2 and MdmX in a p53-null context. …”
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Retracted: Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis
Published 2023-01-01Get full text
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Retracted: Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget
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Exploratory analysis of the key role of immune function changes in BPD
Published 2024-12-01“…A similar analysis was done on the sequencing data of the hub genes and associated pathway screening to verify the accuracy. …”
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MapReduce Functions to Analyze Sentiment Information from Social Big Data
Published 2015-06-01“…Therefore, in this paper, we propose a method to extract sentiment information from various types of unstructured social media text data from social networks by using a parallel Hadoop Distributed File System (HDFS) to save social multimedia data and using MapReduce functions for sentiment analysis. …”
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Convolutional neural network model over encrypted data based on functional encryption
Published 2024-03-01“…Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication overhead caused by the above schemes would reduce system efficiency.Based on the low cost of functional encryption, a new convolutional neural network model over encrypted data was constructed using functional encryption.Firstly, two algorithms based on functional encryption were designed, including inner product functional encryption and basic operation functional encryption algorithms to implement basic operations such as inner product, multiplication, and subtraction over encrypted data, reducing computational and communication costs.Secondly, a secure convolutional computation protocol and a secure loss optimization protocol were designed for each of these basic operations, which achieved ciphertext forward propagation in the convolutional layer and ciphertext backward propagation in the output layer.Finally, a secure training and classification method for the model was provided by the above secure protocols in a module-composable way, which could simultaneously protect the confidentiality of user data as well as data labels.Theoretical analysis and experimental results indicate that the proposed model can achieve CNN training and classification over encrypted data while ensuring accuracy and security.…”
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Upper limb function in Duchenne muscular dystrophy: 24 month longitudinal data.
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Using multiplexed functional data to reduce variant classification inequities in underrepresented populations
Published 2024-12-01“…The resulting saturation-style functional data may help resolve variant classification disparities between populations, especially for Variants of Uncertain Significance (VUS). …”
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Safety Performance Functions for Low-Volume Roads
Published 2011-12-01“…CPMs are a useful tool for estimating the expected number of crashes occurring within the roads’ geometric components (intersections and road sections) as a function of infrastructural, environmental, and roadway features. …”
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Effect and safety of pemafibrate for patients with type 2 diabetes mellitus and hypertriglyceridemia: a retrospective analysis of clinical data
Published 2025-02-01“…Methods Patients with type 2 diabetes mellitus and hypertriglyceridemia who were started on PEMA for at least 3 months were included in the analysis. Changes in lipid metabolism, liver function, renal function, and blood tests from before to after 3 months of PEMA treatment were evaluated. …”
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Effect of Brain-Computer Interface Combined with Functional Electrical Stimulation on Upper Limb Function for stroke：A Meta-analysis
Published 2025-01-01“…ObjectiveTo evaluate the effect of brain-computer interface (BCI) combined with functional electrical stimulation (FES) technology on upper limb motor function in stroke patients using Meta-analysis method.MethodsThe database of CNKI, WanFang Data, VIP, PubMed, EMbase, Web of Science, The Cochrane Library, ClinicalTrials.gov, and CT.gov were selected to collect the randomized controlled clinicals (RCTs) that studied on the effects of BCI and FES (BCI-FES) on upper limb motor function in stroke patients, from the journal established for March 2025. …”
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Determinan Perceraian di Jakarta Timur Tahun 2014 (Studi Data Pengadilan Agama dan Pengadilan Negeri)
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Surrogate data analyses of the energy landscape analysis of resting-state brain activity
Published 2025-03-01“…The spatiotemporal dynamics of resting-state brain activity can be characterized by switching between multiple brain states, and numerous techniques have been developed to extract such dynamic features from resting-state functional magnetic resonance imaging (fMRI) data. However, many of these techniques are based on momentary temporal correlation and co-activation patterns and merely reflect linear features of the data, suggesting that the dynamic features, such as state-switching, extracted by these techniques may be misinterpreted. …”
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