Ensemble learning for software fault prediction problem with imbalanced data

Fault prediction problem has a crucial role in the software development process because it contributes to reducing defects and assisting the testing process towards fault-free software components. Therefore, there are a lot of efforts aiming to address this type of issues, in which static code characteristics are usually adopted to construct fault classification models.  One of the challenging problems influencing the performance of predictive classifiers is the high imbalance among patterns belonging to different classes. This paper aims to integrate the sampling techniques and common classification techniques to form a useful ensemble model for the software defect prediction problem. The empirical results conducted on the benchmark datasets of software projects have shown the promising performance of our proposal in comparison with individual classifiers

The role of corrective feedback in Vietnamese high school students’ writing

Through the history of language teaching and among many controversies in teaching second language writing, there are various concepts of corrective feedback. In fact, roles of corrective feedback including teacher and peer feedback are highly appreciated in contributing students’ writing improvement .Especially, in teaching writing to second language learners, the use of peer evaluation might be more motivated than the traditional type of teacher evaluation. This finding, as well as students’ data explanations of their choices, 48 high school gifted students at Experimental High School in Ho Chi Minh City participated in the study. Results of the study indicated the overall effect of corrective feedback on Vietnamese high school students’ attitude towards their learning in writing English, and how the combination of teacher feedback and peer feedback influence effectively on their work

Survey on Mutation-based Test Data Generation

The critical activity of testing is the systematic selection of suitable test cases, which be able to reveal highly the faults. Therefore, mutation coverage is an effective criterion for generating test data. Since the test data generation process is very labor intensive, time-consuming and error-prone when done manually, the automation of this process is highly aspired. The researches about automatic test data generation contributed a set of tools, approaches, development and empirical results. In this paper, we will analyse and conduct a comprehensive survey on generating test data based on mutation. The paper also analyses the trends in this field

THE SITUATION OF MENTAL HEALTH OF VIETNAM DISABLED ATHLETES IN WEIGHTLIFTING AND JAVELIN BEFORE PARALYMPIC GAMES 2021

The purpose of this study was to find out the situation of Vietnam disabled athletes' mental health before Paralympic Games 2021. Seven athletes from the Vietnam disabled team (including 4 male and 3 female athletes in weightlifting and javelin contents) were chosen to identify their mental health before Paralympic Games. The International Olympic Committee's (IOC) Sports Metal Health Assessment Tool 1 (SMHAT-1) was used to determine the risk or experience of symptoms and mental health disorders of national team athletes with disabilities, facilitating timely referral for athletes in need of adequate support and treatment. The study identified the mental health of disabled Vietnam athletes in weightlifting and javelin. Thus, it led the management and coaches to have a specific plan for the appropriate pre-competition preparation for athletes, thereby getting good results in the upcoming Paralympic Games 2021.  Article visualizations

BaAl1.4Si0.6O3.4N0.6:Eu2+ green phosphors’ application for improving luminous performance

The molten salt synthesis (MSS) method was used to effectively prepare green phosphors BaAl1.4Si0.6O3.4N0.6:Eu2+ (or BSON:Eu2+) via one homogeneous sphere-like morphology utilizing NaNO3 in the form of the reacting agent. The phosphors produced one wide stimulation spectrum between 250 and 460 nm, as well as a significant green emission has a maximum point at 510 nm owing to the 4f65d1-4f7 (8S7/2) shifts for Eu2+ ions. With illumination under 365 as well as 450 nm, the ideal discharge strengths for the specimen prepared utilizing melted salt would receive a boost of 17% and 13%, surpassing the specimen prepared utilizing the traditional solid-state reaction (SSR) approach. The abatement of concentration for the ions of Eu2+ from BSON:Eu2+ is 5 mol%. In addition, the interactivity of dipole-dipole would be the cause of said abatement. Heat abatement would be studied utilizing the formation coordinate method with abatement temperature reaching ∼200 oC. Elemental mapping as well as power-dispersing X-ray spectroscopy (EDS) spectra demonstrated that the expected BaAl1.4Si0.6O3.4N0.6:Eu2+ materials were formed

Efficacy and Toxicity of Folfoxiri for Patients with Metastatic Colorectal Cancer

BACKGROUND: In recent times, scientists have found new treatments for colorectal cancer patients. AIM: The study is to evaluate the efficacy and toxicity of triplet combination chemotherapy of 5-fluorouracil/leucovorin, oxaliplatin, and irinotecan (FOLFOXIRI) for patients with metastatic colorectal cancer in stage IV. METHODS: Uncontrolled clinical trial carried on 39 stage IV colorectal cancer patients. RESULTS: The overall response rate of the treatment was 79.4%. The average progression-free survival was 13.4 ± 9 months. The overall survival rate at 12th month and 24th month were 90% and 76%, respectively. The proportion of granulocytopenia was 48.9%, no grade 3 or 4. Side effect beyond hematology was most seen in hepatic toxicity with 52.5%, mainly at grade 1. Vomiting was 18.3%, all at grade 1. Other adverse event was very low at percentage. CONCLUSIONS: The triplet combination FOLFOXIRI chemotherapy improves the outcome of patients with metastatic colorectal cancer regarding rate of response, overall survival rate and progression-free survival, and the level of toxicity was acceptable

R&D investment and future firm performance: The role of managerial overconfidence and government ownership

We investigate the relationship among managerial overconfidence (MO), government ownership, and research and development (R&D) investment using data from Vietnamese public companies for the period 2007–2016. We also investigate how R&D investment, given MO and government ownership, affect future firm performance. Our results indicate that MO and government ownership are positively related to R&D investment. Conceptually, this study investigates novel factors affecting of R&D investment and their role in improving firm performance. Overall, this study emphasizes the importance of R&D investment in the corporate world, improving firm performance and, ultimately, economic prosperity

Estimates for the elastic moduli of 2D aggregate of hexagonal-shape orthorhombic crystals with in-plane random crystalline orientations

Numerical finite element simulations on the homogenization problem for large samples of particular 2D hexagonal-shape-geometry random orientation aggregates from the base crystals of orthorhombic symmetry have been performed. At sufficiently large random-aggregate samples, the scatter intervals of the macroscopic 2D bulk and shear elastic moduli converge toward the Voigt-Reuss-Hill bounds, and then our recently constructed theoretical estimates, which have been specified for the aggregates

Seeding Strategies for Multi-Objective Test Case Selection: An Application on Simulation-based Testing

The time it takes software systems to be tested is usually long. This is often caused by the time it takes the entire test suite to be executed. To optimize this, regression test selection approaches have allowed for improvements to the cost-effectiveness of verification and validation activities in the software industry. In this area, multi-objective algorithms have played a key role in selecting the appropriate subset of test cases from the entire test suite. In this paper, we propose a set of seeding strategies for the test case selection problem that generate the initial population of multi-objective algorithms.We integrated these seeding strategies with an NSGA-II algorithm for solving the test case selection problem in the context of simulation-based testing. We evaluated the strategies with six case studies and a total of 21 fitness combinations for each case study (i.e., a total of 126 problems). Our evaluation suggests that these strategies are indeed helpful for solving the multi-objective test case selection problem. In fact, two of the proposed seeding strategies outperformed the NSGA-II algorithm without seeding population with statistical significance for 92.8 and 96% of the problems

The effect green YF3:ER3+,YB3+ phosphor on luminous flux and color quality of multi-chip white light-emitting diodes

The purpose of this paper is to demonstrate the advantages of the green phosphor YF3:Er3+,Yb3+ combined with multi-chip package to the enhancement of lighting efficiency of modern WLEDs. In an effort to improve the quality of WLEDs and create a new generation of lighting device, green phosphor YF3:Er3+,Yb3+ is added into the phosphor compounding of the WLED package to improve the color quality and lighting capacity. Through experiments, WLEDs with YF3:Er3+,Yb3+ green phosphor has shown improved results in lighting performance specifically in color homogeneity and light output of WLEDs in the ACCT range from 5600-7000 K. However, the color quality scale (CQS) declines gradually. Therefore, if the appropriate concentration and size of YF3:Er3+,Yb3+ are determined, the performance of MCW-LEDs will be enhanced and become more stable