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Hoa chuông (Sinningia speciosa (G. Lodd.) Hiern), họ Gesneriaceae là một trong những loài hoa lạ, hấp dẫn vì vẻ đẹp về màu sắc và hình dáng cũng như độ bền của hoa. Nghiên cứu sử dụng đoạn thân của cây hoa chuông in vitro xử lý EMS (Ethyl... more
Hoa chuông (Sinningia speciosa (G. Lodd.) Hiern), họ Gesneriaceae là một trong những loài hoa lạ, hấp dẫn vì vẻ đẹp về màu sắc và hình dáng cũng như độ bền của hoa. Nghiên cứu sử dụng đoạn thân của cây hoa chuông in vitro xử lý EMS (Ethyl Methane Sulfonate) với các nồng độ (0%; 0,4%; 0,8%; 1,2% và 1,6%) trong 1 giờ và 1,5 giờ. Kết quả ghi nhận nghiệm thức (NT) có kiểu hình khác biệt so với đối chứng là các mẫu xử lý EMS với các nồng độ (0,4%; 0,8%) trong 1 giờ và 1,5 giờ. Kỹ thuật ISSR (Inter simple sequence repeat) được sử dụng để khảo sát khác biệt di truyền 8 cây hoa chuông được tái sinh từ các nghiệm thức xử lý EMS ở các nồng độ khác nhau so với mẫu đối chứng. Với 8 mồi ISSR sử dụng ghi nhận tổng cộng 250 băng có kích thước 242-2276 cặp nucleotide trung bình thu được 31,25 băng/mồi. Số băng đơn hình 14,5 băng/mồi, chiếm 46,4%, số băng đa hình 16,75 băng/mồi, chiếm 53,6%. Chỉ số PIC trung bình thu được là 0,24. Giản đồ phả hệ dựa trên dấu ISSR cho thấy có sự khác biệt về mặt di t...
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Energy storage plays an important role in the adoption of renewable energy to help solve climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy storage due to their properties. In order to ensure the... more
Energy storage plays an important role in the adoption of renewable energy to help solve climate change problems. Lithium-ion batteries (LIBs) are an excellent solution for energy storage due to their properties. In order to ensure the safety and efficient operation of LIB systems, battery management systems (BMSs) are required. The current design and functionality of BMSs suffer from a few critical drawbacks including low computational capability and limited data storage. Recently, there has been some effort in researching and developing smart BMSs utilizing the cloud platform. A cloud-based BMS would be able to solve the problems of computational capability and data storage in the current BMSs. It would also lead to more accurate and reliable battery algorithms and allow the development of other complex BMS functions. This study reviews the concept and design of cloud-based smart BMSs and provides some perspectives on their functionality and usability as well as their benefits for...
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This paper presents methods of fuzzy reasoning, linguistic reasoning and the comparison of them. It is shown that in some conditions the same results can be given by both the methods.
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Clustering is an unsupervised machine learning method with many practical applications that has gathered extensive research interest. It is a technique of dividing data elements into clusters such that elements in the same cluster are... more
Clustering is an unsupervised machine learning method with many practical applications that has gathered extensive research interest. It is a technique of dividing data elements into clusters such that elements in the same cluster are similar. Clustering belongs to the group of unsupervised machine learning techniques, meaning that there is no information about the labels of the elements. However, when knowledge of data points is known in advance, it will be beneficial to use a semi-supervised algorithm. Within many clustering techniques available, fuzzy C-means clustering (FCM) is a common one. To make the FCM algorithm a semi-supervised method, it was proposed in the literature to use an auxiliary matrix to adjust the membership grade of the elements to force them into certain clusters during the computation. In this study, instead of using the auxiliary matrix, we proposed to use multiple fuzzification coefficients to implement the semi-supervision component. After deriving the p...
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Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common... more
Clustering is an unsupervised machine learning technique with many practical applications that has gathered extensive research interest. Aside from deterministic or probabilistic techniques, fuzzy C-means clustering (FCM) is also a common clustering technique. Since the advent of the FCM method, many improvements have been made to increase clustering efficiency. These improvements focus on adjusting the membership representation of elements in the clusters, or on fuzzifying and defuzzifying techniques, as well as the distance function between elements. This study proposes a novel fuzzy clustering algorithm using multiple different fuzzification coefficients depending on the characteristics of each data sample. The proposed fuzzy clustering method has similar calculation steps to FCM with some modifications. The formulas are derived to ensure convergence. The main contribution of this approach is the utilization of multiple fuzzification coefficients as opposed to only one coefficien...
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In this paper we present the fuzzy description logic ALCFH introduced, where primitive concepts are modified by means of hedges taken from hedge algebras. ALCFH is strictly more expressive than Fuzzy-ALC defined in [11]. We show that... more
In this paper we present the fuzzy description logic ALCFH introduced, where primitive concepts are modified by means of hedges taken from hedge algebras. ALCFH is strictly more expressive than Fuzzy-ALC defined in [11]. We show that given a linearly ordered set of hedges primitive concepts can be modified to any desired degree by prefixing them with appropriate chains of hedges. Furthermore, we define a decision procedure for the unsatisfiability problem in ALCFH, and discuss knowledge base expansion when using terminologies, truth bounds, expressivity as well as complexity issues. We extend [8] by allowing modifiers on non-primitive concepts and extending the satisfiability procedure to handle concept definitions.
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Research Interests: Mathematics and Inverse
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Research Interests: Physics and Combinatorics
Research Interests: Mathematics, Algebra, Computer Science, Pragmatics, Fuzzy Logic, and 15 moreGenetic Algorithms, Fuzzy set theory, Fuzzy Sets, Genetic Algorithm, Training data, Generators, Fuzzy Classification, Fuzzy Set, Type 2 Fuzzy Set Theory, Input Output, Fuzzy C-Means Clustering Algorithm, Rule Based, Defuzzification, Fuzzy Number, and Fuzzy Logic System
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To investigate the prevalences of reproductive tract infections (RTI)/sexually transmitted infections (STI) among married women in a rural district of Vietnam, and analyse the influence of socioeconomic, sociodemographic, and other... more
To investigate the prevalences of reproductive tract infections (RTI)/sexually transmitted infections (STI) among married women in a rural district of Vietnam, and analyse the influence of socioeconomic, sociodemographic, and other determinants possibly related to RTI/STI. A community-based cross-sectional study. Married women aged 18-49 years (n = 1012) were interviewed and underwent a gynaecological examination. Specimens were collected for laboratory diagnosis of chlamydia, gonorrhoea, trichomonas, bacterial vaginosis (BV), candidiasis, hepatitis B, HIV, and syphilis. In total, 37% of the women were clinically diagnosed with an RTI/STI. Aetiologically confirmed RTI/STI was identified in 39% of the women (including 6% with STI). Endogenous infections were most prevalent (candidiasis 26%, BV 11%) followed by hepatitis B 8.3%, Chlamydia trachomatis 4.3%, Trichomonas vaginalis 1%, Neisseria gonorrhoeae 0.7%, genital warts 0.2%, and HIV and syphilis 0%. Fifty per cent of the STI cases were asymptomatic. Younger age and intrauterine devices were significantly associated with an increased risk of BV. Determinants of candidiasis were vaginal douching, high education level and low economic status, whereas a determinant of chlamydia was high economic status. Outmigration of the husband was associated with an increased risk of hepatitis B surface antigen seroposivity among women. RTI/STI were prevalent among married women in a rural population of Vietnam. Syndromic algorithms should be consistently supplemented by risk assessment in order to reduce under and overtreatment. Microscopic diagnosis could be applied in primary care settings to achieve more accurate diagnoses. The promotion of health education aimed at reducing RTI/STI prevalences is an important tool in STI/HIV control programmes. Vaccination to prevent hepatitis B for migrants should be considered.
Research Interests: Medical Microbiology, Adolescent, Medicine, Chlamydia trachomatis, Rural Health, and 15 morePopulation, Humans, Female, Population based study, Regression Analysis, Clinical Sciences, Chlamydia, Prevalence, Middle Aged, Adult, Public health systems and services research, Respiratory Tract Infections, Bacterial Vaginosis, Cross Sectional Studies, and gonorrhea
In this paper, we present the fuzzy description logic ALCF LH. ALCF LH is based on ALCFH, but linear hedges are used instead of exponential ones. This allows to solve the entailment and the subsumption problem in a fuzzy description... more
In this paper, we present the fuzzy description logic ALCF LH. ALCF LH is based on ALCFH, but linear hedges are used instead of exponential ones. This allows to solve the entailment and the subsumption problem in a fuzzy description logic, where arbitrary concepts and ...