CTU Journal of Innovation and Sustainable Development最新文献_第3页

Study of the activation of Truc Thon ball clay by acids 研究酸对 Truc Thon 球粘土的活化作用

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-11-22 DOI: 10.22144/ctujoisd.2023.054

Truong Ngoc Mai Ngo, Minh Nhut Nguyen, Luu Ngoc Hanh Cao, Thi Bich Quyen Tran, Viet Nhan Hoa Nguyen, Nguyen Phuong Lan Tran

引用次数: 0

Characterization of single nucleotide polymorphisms in chloroplast genomes of Musaceae Juss. 麝香草叶绿体基因组中单核苷酸多态性的特征 Juss.

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-11-22 DOI: 10.22144/ctujoisd.2023.049

Bao Ngoc Mach, Hoang Dang Khoa Do

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Effects of seed soaking and foliar spraying of Kalanchoe pinnata aqueous leaf extracts against rice bacterial leaf blight 浸种和叶面喷洒 Kalanchoe pinnata 水提取物对水稻细菌性叶枯病的影响

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-11-22 DOI: 10.22144/ctujoisd.2023.047

Xa Truong Van, Kim Thoa Tran, Tran Anh Thu Thai, Dac Khoa Nguyen

{"title":"Effects of seed soaking and foliar spraying of Kalanchoe pinnata aqueous leaf extracts against rice bacterial leaf blight","authors":"Xa Truong Van, Kim Thoa Tran, Tran Anh Thu Thai, Dac Khoa Nguyen","doi":"10.22144/ctujoisd.2023.047","DOIUrl":"https://doi.org/10.22144/ctujoisd.2023.047","url":null,"abstract":"This study aims at evaluating the disease-reducing effects against rice bacterial leaf blight (Xanthomonas oryzae pv. oryzae). Under greenhouse conditions, the activities of the four enzymes [peroxidase (POX), catalase (CAT), polyphenol oxidase (PPO) and phenylalanine ammonia lyase (PAL)] after application of Kalanchoe pinnata aqueous leaf extracts using the combination of seed soaking and foliar spraying were studied. Overall, two extract concentrations [1 and 2% (w/v)] applied as seed soaking combined with the five extract concentrations [1, 2, 3, 4 and 5% (w/v)] applied as foliar spraying were tested. Three application methods were furthermore used for foliar spraying (7 days before pathogen inoculation (DBI), 14 DBI and their combination). Results showed the effects increased with the increase of extract concentrations and durations from application time points prior to pathogen inoculation. The combination of foliar spraying at 7 and 14 DBI provided stronger protection compared to single sprays. The effects involved induced resistance. Indeed, the activities of POX and CAT increased until 4 days after inoculation (DAI) and remained until 7 DAI, while those of PPO and PAL increased similarly then decreased until 7 DAI. Activities of these enzymes increased after pathogen inoculation and reached higher levels with extract applications.","PeriodicalId":310835,"journal":{"name":"CTU Journal of Innovation and Sustainable Development","volume":"37 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

1,3,4-Oxadiazole derivatives as potent antifungal agents: Synthesis, biological evaluation and an in silico study 作为强效抗真菌剂的 1,3,4-恶二唑衍生物：合成、生物学评价和一项硅学研究

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-11-22 DOI: 10.22144/ctujoisd.2023.057

Quy Nguyen, Cuong Quoc Nguyen, Quang De Tran, Dang Quang Le, T. Bui

引用次数: 0

Career preferences of Filipino senior high school students 菲律宾高中生的职业偏好

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-11-22 DOI: 10.22144/ctujoisd.2023.053

Chery Fernandez, Meshel B. Balijon, Inero V Ancho

{"title":"Career preferences of Filipino senior high school students","authors":"Chery Fernandez, Meshel B. Balijon, Inero V Ancho","doi":"10.22144/ctujoisd.2023.053","DOIUrl":"https://doi.org/10.22144/ctujoisd.2023.053","url":null,"abstract":"This research determined the trends and challenges in career preferences of the public high schools in Cebu City, Philippines. The study participants were 35 students, including five guidance counselors and advocates (GCA) from different identified public national high schools. This research used a quantitative-qualitative mixed design through a focused group discussion to confirm the responses of the respondents. The results show that students often choose careers that suit the needs of their families. Sometimes, they use Facebook, LinkedIn, Twitter, and My Space to seek a job, base their choices in popular courses/degrees today, they even use technology to do that or choose a career that fits their abilities. According to the GCAs, most of the students lack motivation and do not know the deeper reasons for the courses that they want and just pick a degree program just for the sake of having one. Sometimes, they lack information about different careers, base things on practicality, they cannot decide, they do not have a choice and their parents choose their career for them. The findings suggest GCAs need to encourage learners, and their parents to make use of a career pathing design for them to be guided in terms of their career decisions.","PeriodicalId":310835,"journal":{"name":"CTU Journal of Innovation and Sustainable Development","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detecting Vietnamese fake news 侦测越南假新闻

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-10-16 DOI: 10.22144/ctujoisd.2023.033

Duc Vinh Vo, Phuc Do

引用次数: 0

Predicting graduation grades using Machine Learning: A case study of Can Tho University students 用机器学习预测毕业成绩:以芹苴大学学生为例

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-10-16 DOI: 10.22144/ctujoisd.2023.038

Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen

{"title":"Predicting graduation grades using Machine Learning: A case study of Can Tho University students","authors":"Minh Khiem Nguyen, Van Tu Huynh, Hung Dung Nguyen","doi":"10.22144/ctujoisd.2023.038","DOIUrl":"https://doi.org/10.22144/ctujoisd.2023.038","url":null,"abstract":"A number of factors influence a student's attainment of graduation. Besides scholastic performance within the academic curriculum, other variables such as living circumstances, gender, and choice of major significantly contribute to the probability of achieving graduation. The capacity to forecast academic performance at the time of graduation holds profound importance for universities, especially in discerning the influential factors that contribute to a student's successful completion of their educational pursuits. This study employs multiple machine learning algorithms, including K-nearest neighbor, Neural network, Decision tree, Random forest, and Gradient boosting, to prognosticate the graduation outcomes of 7,837 undergraduate students from Can Tho University during the academic year 2022. These selected students were enrolled in 16 colleges and institutes affiliated with Can Tho University. The efficacy of the employed algorithms was assessed through performance evaluation metrics encompassing accuracy, precision, recall, and F-measure. Furthermore, a 15-fold cross-validation technique was employed for validation. The findings revealed that the Random forest model yielded the most reliable predictions. The factors that significantly impact graduation grades comprise GPA, training point, residential address, college, major, and gender. Based on the experimental findings, these factors were ranked to ascertain their effects on student graduation.","PeriodicalId":310835,"journal":{"name":"CTU Journal of Innovation and Sustainable Development","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136183600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of Crowd concentrations with YOLO V3 用YOLO V3检测人群浓度

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-10-16 DOI: 10.22144/ctujoisd.2023.035

Ba Duy Nguyen, Thanh Nhan Dinh, Thanh Bach Nguyen, Quoc Dinh Truong

引用次数: 0

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-10-16 DOI: 10.22144/ctujoisd.2023.029

Bui Cong Giao

{"title":"Similarity join over multiple time series under Dynamic Time Warping","authors":"Bui Cong Giao","doi":"10.22144/ctujoisd.2023.029","DOIUrl":"https://doi.org/10.22144/ctujoisd.2023.029","url":null,"abstract":"Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time series. However, the task is extremely challenging since the computational time to search for couples of similar subsequences from two time series is very large. Moreover, the task needs to normalize two subsequences before conducting a distance measure on the normalized subsequences to consider the similar degree of the original subsequences. To address the problem, this paper proposes a method of similarity join over two time series under Dynamic Time Warping (DTW), supporting z-score normalization. The proposed method utilizes both a suite of state-of-the-art techniques for computing the DTW distance and a technique of incremental z-score normalization to reduce the computational costs. The method employs multithreading to improve runtime performance. If similar subsequences from two time series may not pair up because they are too far apart, the method might use a sliding window to constrain a scope for coupling similar subsequences. The experiments on the proposed method show that the method could return similar subsequences quickly and incur no false dismissals.","PeriodicalId":310835,"journal":{"name":"CTU Journal of Innovation and Sustainable Development","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136183421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Topic based document modeling for information filtering 用于信息过滤的基于主题的文档建模

CTU Journal of Innovation and Sustainable Development Pub Date : 2023-10-16 DOI: 10.22144/ctujoisd.2023.040

Tran Diem Hanh Nguyen

{"title":"Topic based document modeling for information filtering","authors":"Tran Diem Hanh Nguyen","doi":"10.22144/ctujoisd.2023.040","DOIUrl":"https://doi.org/10.22144/ctujoisd.2023.040","url":null,"abstract":"Information Filtering (IF), which has been popularly studied in recent years, is one of the areas that applies document retrieval techniques for dealing with the huge amount of information. In IF systems, modelling user’s interest and filtering relevant documents are major parts of the systems. Various approaches have been proposed for modelling the first component. In this study, we utilized a topic-modelling technique, Latent Dirichlet Topic Modelling, to model user’s interest for IFs. In particular, an extended model of it to represent user’s interest named Latent Dirichlet Topic Modelling with high Frequency Occurrences, shorted as LDA_HF, was proposed with the intention to enhance retrieving performance of IFs. The new model was then compared to the existing methods in modelling user’s interest such as BM25, pLSA, and LDA_IF over the big benchmark datasets, RCV1 and R8. The results of extensive experiments showed that the new proposed model outperformed all the state-of-the-art baseline models in user modelling such as BM25, pLSA and LDA_IF according to 4 major measurement metrics including Top20, B/P, MAP, and F1. Hence, the model LDA_HF promises one of the reliable methods of enhancing performance of IFs.","PeriodicalId":310835,"journal":{"name":"CTU Journal of Innovation and Sustainable Development","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136183877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0