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Adaptive Learning Path Recommendation based on Graph Theory and an Improved Immune Algorithm
( Cun-ling Bian ),( De-liang Wang ),( Shi-yu Liu ),( Wei-gang Lu ),( Jun-yu Dong ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5
Adaptive learning in e-learning has garnered researchers’ interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners’ requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners’ homework, final exam grades and satisfaction.
A novel ethylene-responsive factor IbERF4 from sweetpotato negatively regulates abiotic stress
Yu Yang,김호수,Ma Peiyong,Jia Zhaodong,Guo Xiaoding,Xie Yizhi,곽상수,Zhang Peng,Bian Xiaofeng 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.4
The ERF (ethylene-responsive element-binding factor) transcription factor family plays important roles in abiotic and biotic stress responses in plants. An EAR motif-containing ERF gene, IbERF4, was isolated from sweetpotato [Ipomoea batatas (L.) Lam]. IbERF4 was highly expressed in the early stage of storage roots and can be induced by various stresses. By overexpressing IbERF4 in Arabidopsis, the transgenic Arabidopsis showed greater sensitivity to drought and salt stress by down-regulating stress-related genes, such as rd22, rd29, AtCBF1 and AtCBF2. Overexpressing IbERF4 in sweetpotato made the transgenic sweetpotato more sensitive to salt stress and made propagating new seedlings more difficult. Consistently, the transcriptomic profiling results showed that genes involved in oxidative stress were significantly down-regulated in sweetpotato overexpression lines. These results indicated that IbERF4 plays as key regulators in sweetpotato abiotic stress.
SOME RESULTS ON FRACTIONAL n-FACTOR-CRITICAL GRAPHS
Yu, Jiguo,Bian, Qiuju,Liu, Guizhen,Wang, Na 한국전산응용수학회 2007 Journal of applied mathematics & informatics Vol.25 No.1
A simple graph G is said to be fractional n-factor-critical if after deleting any n vertices the remaining subgraph still has a fractional perfect matching. For fractional n-factor-criticality, in this paper, one necessary and sufficient condition, and three sufficient conditions related to maximum matching, complete closure are given.
Future prospects of mass-degenerate Higgs bosons in the CP -conserving two-Higgs-doublet model
Bian, Ligong,Chen, Ning,Su, Wei,Wu, Yongcheng,Zhang, Yu American Physical Society 2018 Physical Review D Vol.97 No.11
<P>The scenario of two mass-degenerate Higgs bosons within the general two-Higgs-doublet model (2HDM) is revisited. We focus on the global picture when two CP-even Higgs bosons of h and H are nearly mass-degenerate. A global fit to the signal strength of the 125 GeV Higgs measured at the LHC is performed. Based on the best-fit result of the 2HDM mixing angles (alpha, beta), theoretical constraints, charged and CP-odd Higgs boson direct search constraints and the electroweak precision constraints are imposed to the 2HDM parameter space. We present the signal predictions of the (4b, 2b2 gamma) channels for the benchmark models at the LHC 14 TeV runs. We also study the direct Higgs boson pair productions at the LHC, and the Z-associated Higgs boson pair production search at the ILC 500 GeV runs, as well as the indirect probes at the CEPC 250 GeV run. We find that the massdegenerate Higgs boson scenario in the Type-II 2HDM can be fully probed by these future experimental searches.</P>
Cooking, Textural, Sensorial, and Antioxidant Properties of Common and Tartary Buckwheat Noodles
Yu Jie Ma,Xu Dan Guo,Hang Liu,Bian Na Xu,Min Wang 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.1
Noodles made from flour of 3 common and 2tartary buckwheat cultivars were investigated into cooking,textural, sensorial, antioxidant properties, and polyphenol composition. Common buckwheat noodles possessed greater tensility, lower adhesiveness, and better sensory properties. Buckwheat noodles were found to be good sources of dietary polyphenols and tartary buckwheat noodles contained a higher level of total phenolics (182.65-221.27 mg GA eq./100 g d.w.) and flavonoids (183.33-218.69 mg rutin eq./100 g d.w.) than their counterparts (p<0.05). Tartary buckwheat noodles also showed higher antioxidant capacity measured by reducing power, DPPH radical scavenging,and ABTS•+ scavenging assay. HPLC analysis identified and quantified 12 polyphenol compounds and revealed that rutin and quercetin were the dominant phenolic compounds. Among them, p-hydroxybenzoic acid, protocatechuic acid,rutin, and quercetin were higher in tartary buckwheat noodles, while common buckwheat noodles had greater contents of chlorogenic acid. Overall, buckwheat noodles are good alternative food with high nutritional quality.
Bian Jing-Yang,Guo Xiao-Yu,Lee Dong Hun,Sun Xing-Rong,Liu Lin-Shuai,Shao Kai,Liu Kai,Sun Hu-Nan,Kwon Taeho 한국응용생명화학회 2024 Applied Biological Chemistry (Appl Biol Chem) Vol.67 No.-
Recently, non-thermal plasma (NTP) technologies have found widespread application across diverse fields, including plant growth, medical science, and biological and environmental research. Rice (Oryza sativa L.) is exceptionally sensitive to temperature changes. Notably, low-temperature stress primarily affects the germination and reproductive stages of rice, often leading to reduced crop yield. This study aimed to identify optimal conditions for enhancing rice seed germination and seedling growth under low temperatures using NTP technology. Our research indicated that NTP treatment at 15.0 kV for 30 s optimally promotes rice seed germination and growth under low-temperature stress. Furthermore, NTP treatment increases the activity and expression of antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD), under low-temperature conditions. Moreover, it downregulates the expression of β-ketoacyl-[acyl carrier protein] synthase I (KASI) and cis-epoxy carotenoid dioxygenase 3 (NCED3) and upregulates the expression of alternative oxidase (AOX1B), BREVIS RADIX-like homologous gene (BRXL2), WRKY transcription factor 29 (WRKY29), and EREBP transcription factor 2 (EREBP2) in roots after tandem 7 days lowtemperature (16 ℃) and 7 days room-temperature (28 ℃) treatments. Transcriptomic analysis revealed the involvement of various key genes in phosphotransferase activity, phosphate-containing compound metabolic processes, and defense responses. These analyses provide comprehensive information on gene expression at the transcriptional level, offering new insights for a deeper understanding of candidate genes required for root growth in rice.