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Context prediction
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The presence of heterogeneity is a significant attribute within the context of ovarian cancer. This study aimed to assess the predictive accuracy of models utilizing quantitative 18F-FDG PET/CT derived inter-tumor heterogeneity metrics in determining progression-free survival (PFS) and overall survival (OS) in patients diagnosed with high-grade serous ovarian cancer (HGSOC).
13p
vishanshan
27-06-2024
2
1
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Prostate cancer (PCa) is one of the major tumor diseases that threaten men’s health globally, and biochemical recurrence significantly impacts its prognosis. Disulfidptosis, a recently discovered cell death mechanism triggered by intracellular disulfide accumulation leading to membrane rupture, is a new area of research in the context of PCa. Currently, its impact on PCa remains largely unexplored.
12p
vishanshan
27-06-2024
3
1
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This article examined student learning motivation and its use as an indicator to predict student learning strategies in an Indonesian school context. This article applied quantitative research design, with Motivated Strategies for Learning Questionnaire (MSLQ) used to collect the data.
11p
viohoyo
25-04-2024
5
2
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This research therefore has three main targets: to educate the holistic context of rural education management, to study the relationship of continuing education at the upper secondary level, and to construct an appropriate education program prediction model for high school students in a rural school.
15p
viarnault
25-04-2024
1
1
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A comprehensive understanding of cancer has been furthered with technological improvements and decreasing costs of next-generation sequencing (NGS). However, the complexity of interpreting genomic data is hindering the implementation of high-throughput technologies in the clinical context: increasing evidence on gene–drug interactions complicates the task of assigning clinical significance to genomic variants.
15p
vibransone
28-03-2024
3
2
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Clinical interpretation of genetic variants in the context of the patient’s phenotype is becoming the largest component of cost and time expenditure for genome-based diagnosis of rare genetic diseases. Artificial intelligence (AI) holds promise to greatly simplify and speed genome interpretation by integrating predictive methods with the growing knowledge of genetic disease.
19p
vibransone
28-03-2024
3
2
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Prediction of patient survival from tumor molecular ‘-omics’ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are applied in the context of “high dimension”, as the number p of covariates (gene expressions) greatly exceeds the number n of patients and e of events.
16p
vialfrednobel
23-12-2023
3
3
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Endometrial Cancer (EC) is one of the most prevalent malignancies that affect the female population globally. In the context of immunotherapy, Tumor Mutation Burden (TMB) in the DNA polymerase epsilon (POLE) subtype of this cancer holds promise as a viable therapeutic target.
13p
vioracle
29-09-2023
3
2
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Machine Reading Comprehension is one of the natural language processing fields; machines automatically have to answer questions based on specific passages for this task. In recent years, machine reading comprehension (MRC) has received much attention; many articles have been written about this task.
11p
viberkshire
09-08-2023
5
5
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The assessment of financial health of a company plays an important role in helping stakeholders making their decisions. There have been many tools to assess the financial situation, the use of artificial neural network has been recently applied widely and shown certain advantages. Artificial neural network (ANN) are information processing model, which were studied by the nervous system of the organism, including large numbers of neurons linked to process the information.
8p
nhanchienthien
25-07-2023
9
4
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The article studies the factors affecting the bankruptcy risk, thereby forecasting the bankruptcy risk of listed steel companies in Vietnam. By using the qualitative research methods and quantitative research method, the author has identified factors that affect bankruptcy risk including size, liabilities-toassets, working capital-to-assets, liquidity, return on asset, cash flow from operations-to-assets and growth rate of net income.
11p
nhanchienthien
25-07-2023
6
4
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The paper "Impact of labor on the economic growth of Vietnam: History, situation and prediction" aims to analyze the effects of the fluctuation in labor force and labor productivity on Vietnam’s economic growth. Using the neoclassical growth model with data from the General Statistics Office, the study shows that when the number of laborers increases by 1%, the economic growth rate will raise by 2.78%.
9p
nhanchienthien
25-07-2023
3
3
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Earnings management is the act of corporate to adjust financial reports to present positive earnings, positive profit growth and gain positive predictive analysis from report through accounting techniques. The financial statements are of great value to all users in decision making and the smoothing earnings will affect the quality of accounting information presented on the reports. Therefore, the research on earnings management is important to information users, attracting attention from the global academic community
8p
nhanchienthien
25-07-2023
6
4
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The study "Misstatements prediction on financial statements of listed real estate companies on the Vietnam stock market" is based on Positive Accounting theory as well as F-SCORE model. The research data included 56 listed real estate companies on Vietnam stock market during the period from 2010 to 2017. Random Effects Logistic Regression model (Logit REM) is used to estimate this model.
13p
nhanchienthien
25-07-2023
7
5
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The aim of this research is to deepen insight into the social-psychological factors that influence the formation of a desire to attend classical music concerts and to better predict people’s positive behavioural responses towards live classical music performances.
437p
runthenight04
02-02-2023
5
4
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Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely approached. In this context, Vietnam Petroleum Institute (VPI) has researched and deployed several effective prediction models, namely missing log prediction, fracture zone and fracture density forecast, etc.
7p
viharry
14-12-2022
8
4
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(BQ) Ebook Methods in human growth research: Part 2 presents the following content: Parametric models for postnatal growth; parameter estimation in the context of non-linear longitudinal growth models; univariate and bivariate growth references; latent variables and structural equation models; multilevel modeling; methods for the study of the genetics of growth and development; prediction; ordinal longitudinal data analysis.
195p
runordie7
30-08-2022
10
3
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Part 1 of the book "Software Architecture in Practice (Third Edition)" provide students with knowledge about: what is software architecture; why is software architecture important; the many contexts of software architecture; quality attributes; a design checklist for availability; interoperability general scenario; modifiability general scenario;...
291p
britaikridanik
05-07-2022
21
3
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The study aims to analyze change characteristics and predict the maximum and minimum temperature in Ninh Thuan in climate change. In this study, the author used non-parametric statistics with, Mann-Kendall and Theil-Sen.
12p
viellenkullman
16-05-2022
8
1
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It remains challenging to predict regulatory variants in particular tissues or cell types due to highly context-specific gene regulation. By connecting large-scale epigenomic profiles to expression quantitative trait loci (eQTLs) in a wide range of human tissues/cell types, we identify critical chromatin features that predict variant regulatory potential.
15p
vialfrednobel
29-01-2022
13
0
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