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Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis

open access: yesFrontiers in Psychology, 2021
Student performance prediction (SPP) aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the
Yupei Zhang   +11 more
doaj   +1 more source

An MRI Study on Effects of Math Education on Brain Development Using Multi-Instance Contrastive Learning

open access: yesFrontiers in Psychology, 2021
This paper explores whether mathematical education has effects on brain development from the perspective of brain MRIs. While biochemical changes in the left middle front gyrus region of the brain have been investigated, we proposed to classify students ...
Yupei Zhang   +5 more
doaj   +1 more source

Photonic (computational) memories: tunable nanophotonics for data storage and computing

open access: yesNanophotonics, 2022
Abstract The exponential growth of information stored in data centers and computational power required for various data-intensive applications, such as deep learning and AI, call for new strategies to improve or move beyond the traditional von Neumann architecture. Recent achievements in information storage and computation in the optical 
Chuanyu Lian   +5 more
openaire   +4 more sources

Comparative study of the neuroprotective activity of lithium compounds and their effect on the course of experimental alloxan diabetes mellitus in rats

open access: yesФармакокинетика и Фармакодинамика, 2021
A comparative study of the effects of an inorganic lithium salt (lithium carbonate) and an organic lithium salt (lithium ascorbate) on a model of alloxan diabetes mellitus was conducted.
O. A. Nazarenko   +4 more
doaj   +1 more source

Identifying colon cancer stage related genes and their cellular pathways

open access: yesFrontiers in Genetics, 2023
In the world, colon cancer is regarded as one of the most common deadly cancer. Due to the lack of a better understanding of its prognosis system, this prevailing cancer has the second-highest morbidity and mortality rate compared with other cancers.
Bolin Chen   +7 more
doaj   +1 more source

Predicting Stage-Specific Recurrent Aberrations From Somatic Copy Number Dataset

open access: yesFrontiers in Genetics, 2020
Exploring the evolution process of cancers and its related complex molecular mechanisms at the genomic level through pathological staging angle is particularly important for providing novel therapeutic strategies most relevant to every cancer patient ...
Chaima Aouiche   +5 more
doaj   +1 more source

DBSCAN Optimization Algorithm Based on KD-tree Partitioning in Cloud Computing [PDF]

open access: yesJisuanji gongcheng, 2017
The parallel RDD-DBSCAN algorithm has a repeated access to the data set in the data partition and region query steps,which reduces the efficiency of the algorithm.Aiming at the above problems,a parallel DBSCAN algorithm based on data partitioning and ...
CHEN Guangsheng,CHENG Yiqun,JING Weipeng
doaj   +1 more source

QoS Scheduling Algorithm in Cloud Computing Based on Discrete Particle Swarm Optimization [PDF]

open access: yesJisuanji gongcheng, 2017
In order to meet the varied Quality of Service(QoS) requirements of user tasks under cloud computing environment,taking into account of task deadline,scheduling budget and reliability,this paper proposes a task scheduling algorithm with multi-QoS ...
WANG Yue,LIU Yaqiu,GUO Jifeng,JING Weipeng
doaj   +1 more source

Web infrastructure for data management, storage and computation

open access: yesMedical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021
The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of
Serge, Brosset   +17 more
openaire   +3 more sources

Deep Learning Enables Accurate Prediction of Interplay Between lncRNA and Disease

open access: yesFrontiers in Genetics, 2019
Many studies have suggested that lncRNAs are involved in distinct and diverse biological processes. The mutation of lncRNAs plays a major role in a wide range of diseases.
Jialu Hu   +6 more
doaj   +1 more source

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