Process validation test of CNTFET using Stanford model

DEVELOPMENT OF A TEACHING BOOK BASED ON LOCAL WISDOM OF JEPARA DISTRICT FOR CLASS V ELEMENTARY SCHOOL STUDENTSDEVELOPMENT OF A TEACHING BOOK BASED ON LOCAL WISDOM OF JEPARA DISTRICT FOR CLASS V ELEMENTARY SCHOOL STUDENTS

JURNAL PAJAR (Pendidikan dan Pengajaran) ◽

10.33578/pjr.v4i6.8124 ◽

2020 ◽

Vol 4 (6) ◽

Author(s):

Zaenal Arifin

Keyword(s):

Elementary School ◽

Data Collection ◽

Learning Outcomes ◽

Elementary School Students ◽

Descriptive Analysis ◽

School Students ◽

Initial Product ◽

Class V ◽

Validation Test ◽

Analysis Technique

This study aims to: (1) develop thematic textbooks based on local wisdom of our best friend's environmental theme material for grade V elementary school students, (2) Know the validity, practicality and effectiveness of thematic textbooks based on local wisdom of our best friend's environmental theme material for grade students V elementary school. The development of thematic textbook learning media based on local wisdom uses the Research and Development (R & D) method. The development stages include: (1) Potentials and problems, (2) Data collection, (3) Product design, (4) Design validation, (5) Design revision, (6) Product testing, (7) Product revision (Sugiyono, 2016). The research was conducted with 33 students from class V SDN 2 Sendang Jepara Regency. Initial product development is a process of making media based on needs analysis. Expert testing or validation was carried out by 2 experts, namely media experts and material experts. The data collection method in this research is observation, interview, and questionnaire. The data analysis technique used descriptive analysis and comparison test of two independent groups, namely using the independent t-test. Based on the results of the trial, this thematic teaching material is very valid, very interesting, effective and can be applied in learning. This can be seen from the results of the validation test from three experts which show that the product is good. The results of the effectiveness test showed that the experimental class students had better learning outcomes than the control class. This means that textbooks based on local wisdom of Jepara Regency are developed effectively

Download Full-text

Validation Test Report for OCEANS 1.0: The 1/40 Global, Reduced Gravity NRL Layered Ocean Model

10.21236/ada352049 ◽

1998 ◽

Author(s):

E. J. Metzger ◽

Robert C. Rhodes ◽

Dong S. Ko ◽

Harley E. Hurlburt

Keyword(s):

Ocean Model ◽

Reduced Gravity ◽

Test Report ◽

Validation Test

Download Full-text

Prediction of K562 Cells Functional Inhibitors Based on Machine Learning Approaches

Current Pharmaceutical Design ◽

10.2174/1381612825666191107092214 ◽

2020 ◽

Vol 25 (40) ◽

pp. 4296-4302 ◽

Cited By ~ 2

Author(s):

Yuan Zhang ◽

Zhenyan Han ◽

Qian Gao ◽

Xiaoyi Bai ◽

Chi Zhang ◽

...

Keyword(s):

Machine Learning ◽

Inclusion Bodies ◽

Cross Validation ◽

Independent Set ◽

K562 Cells ◽

Machine Learning Algorithms ◽

Learning Approaches ◽

Validation Test ◽

Excess Number ◽

Fold Cross Validation

Background: β thalassemia is a common monogenic genetic disease that is very harmful to human health. The disease arises is due to the deletion of or defects in β-globin, which reduces synthesis of the β-globin chain, resulting in a relatively excess number of α-chains. The formation of inclusion bodies deposited on the cell membrane causes a decrease in the ability of red blood cells to deform and a group of hereditary haemolytic diseases caused by massive destruction in the spleen. Methods: In this work, machine learning algorithms were employed to build a prediction model for inhibitors against K562 based on 117 inhibitors and 190 non-inhibitors. Results: The overall accuracy (ACC) of a 10-fold cross-validation test and an independent set test using Adaboost were 83.1% and 78.0%, respectively, surpassing Bayes Net, Random Forest, Random Tree, C4.5, SVM, KNN and Bagging. Conclusion: This study indicated that Adaboost could be applied to build a learning model in the prediction of inhibitors against K526 cells.

Download Full-text

Simulation of ionospheric scintillation signal based on AJ-Stanford model

IET International Radar Conference 2015 ◽

10.1049/cp.2015.1462 ◽

2015 ◽

Author(s):

Changjie Wang Changjie Wang ◽

Jian Shen Jian Shen

Keyword(s):

Ionospheric Scintillation ◽

Scintillation Signal ◽

Stanford Model

Download Full-text

4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network

Genes ◽

10.3390/genes12020296 ◽

2021 ◽

Vol 12 (2) ◽

pp. 296

Author(s):

Zeeshan Abbas ◽

Hilal Tayara ◽

Kil To Chong

Keyword(s):

Mouse Genome ◽

Matthews Correlation Coefficient ◽

Biological Functions ◽

Independent Dataset ◽

Validation Test ◽

Single Feature ◽

Proposed Model ◽

Dna Modifications ◽

Feature Encoding ◽

Feature Encoding Scheme

Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and it is linked to the development of cell proliferation and gene expression. To know different its biological functions, the accurate detection of 4mC sites is required. Although we have several techniques for the prediction of 4mC sites in different genomes based on both machine learning (ML) and convolutional neural networks (CNNs), there is no CNN-based tool for the identification of 4mC sites in the mouse genome. In this article, a CNN-based model named 4mCPred-CNN was developed to classify 4mC locations in the mouse genome. Until now, we had only two ML-based models for this purpose; they utilized several feature encoding schemes, and thus still had a lot of space available to improve the prediction accuracy. Utilizing only a single feature encoding scheme—one-hot encoding—we outperformed both of the previous ML-based techniques. In a ten-fold validation test, the proposed model, 4mCPred-CNN, achieved an accuracy of 85.71% and Matthews correlation coefficient (MCC) of 0.717. On an independent dataset, the achieved accuracy was 87.50% with an MCC value of 0.750. The attained results exhibit that the proposed model can be of great use for researchers in the fields of biology and bioinformatics.

Download Full-text

Injectable Hydrogels: From Laboratory to Industrialization

Polymers ◽

10.3390/polym13040650 ◽

2021 ◽

Vol 13 (4) ◽

pp. 650

Author(s):

Jose Maria Alonso ◽

Jon Andrade del Olmo ◽

Raul Perez Gonzalez ◽

Virginia Saez-Martinez

Keyword(s):

Industrial Process ◽

Functional Materials ◽

Point Of View ◽

Industrial Scale ◽

Injectable Hydrogels ◽

Safety And Efficacy ◽

Process Validation ◽

Characterization Techniques ◽

Hyaluronic Acid Hydrogel ◽

Lack Of Knowledge

The transfer of some innovative technologies from the laboratory to industrial scale is many times not taken into account in the design and development of some functional materials such as hydrogels to be applied in the biomedical field. There is a lack of knowledge in the scientific field where many aspects of scaling to an industrial process are ignored, and products cannot reach the market. Injectable hydrogels are a good example that we have used in our research to show the different steps needed to follow to get a product in the market based on them. From synthesis and process validation to characterization techniques used and assays performed to ensure the safety and efficacy of the product, following regulation, several well-defined protocols must be adopted. Therefore, this paper summarized all these aspects due to the lack of knowledge that exists about the industrialization of injectable products with the great importance that it entails, and it is intended to serve as a guide on this area to non-initiated scientists. More concretely, in this work, the characteristics and requirements for the development of injectable hydrogels from the laboratory to industrial scale is presented in terms of (i) synthesis techniques employed to obtain injectable hydrogels with tunable desired properties, (ii) the most common characterization techniques to characterize hydrogels, and (iii) the necessary safety and efficacy assays and protocols to industrialize and commercialize injectable hydrogels from the regulatory point of view. Finally, this review also mentioned and explained a real example of the development of a natural hyaluronic acid hydrogel that reached the market as an injectable product.

Download Full-text