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A Pediatric Oncology Diverse Learning Course on Caring for nursing students’ reflection
Miao Hsing Chen,Shu-Chuan Chang,Yu-Ping Huang,Yueh Chih Chen 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10
Aim(s): This study aimed to determine if a pediatric oncology diverse learning course could enhance nursing students’ theoretical knowledge and understanding of clinical care for children with leukemia and their families. Method(s): This was a qualitative retrospective study. Data were collected in July 2016. Participants were college nursing students (N = 33) enrolled in a diverse learning course in pediatric oncology, which was taught between November 2014 and January 2015 at a science and technology university in Taiwan. The three-part course included reading picture books, participating in role-playing, and watching a cancer-related family movie. Focus group discussions occurred during each part. Students maintained written reflections during the course, which were submitted to an e-learning website. Reflections were analyzed using content analysis. Result(s): Students’ reflections resulted in five main themes: (1) Pediatric oncology nursing knowledge and skills learned; (2) Understanding children with leukemia and their families suffering; (3) Empathy parents’ and children’s reactions to the effects of leukemia; (4) Nursing skills necessary for caring for children with leukemia; and (5) Expect future role as a pediatric oncology nurse. Conclusion(s): The pediatric oncology simulation course employed multiple teaching strategies. The improvements in student cognition, empathy, and understanding of care requirements of children with leukemia and emotional needs of families as pediatric oncology nurses suggest the teaching objectives of enhancing student learning were achieved. The knowledge and skills acquired could assist students in developing professional competencies and values in nursing.
Miao-miao Luo,Lu-jing Ren,Sheng-lan Chen,Xiao-jun Ji,He Huang 한국생물공학회 2016 Biotechnology and Bioprocess Engineering Vol.21 No.6
Vitamin K2 (menaquinone or MK) plays an important role in blood clotting, cardiovascular disease, and anti-osteoporosis. A novel bacterial strain was isolated and identified as Bacillus natto based on 16SrDNA sequencing and LC-MS analysis. The objective of this study was to improve the extraction efficiency and productivity of MK-7 from B. natto. Acid-heating method efficiently disrupted B. natto cells for MK-7 extraction. Bacillus natto had a wide range of pH (5.0 ~ 9.0) for optimal growth. Its MK-7 yield was increased when rotation speed was increased to 200 rpm. The highest MK-7 yield was obtained when glycerol and soy peptone were used in the growth media. Batch fermentation was subsequently tested in 5 L bioreactor, which gave a high productivity of MK-7 (at 0.60 mg/L/h). A positive correlation between MK-7 yield and sporulation ratio was also found. This study provides valuable information on the extraction and production of menaquinone-7 from B. natto under submerged fermentation condition.
Link Prediction Algorithm for Signed Social Networks Based on Local and Global Tightness
( Miao-miao Liu ),( Qing-cui Hu ),( Jing-feng Guo ),( Jing Chen ) 한국정보처리학회 2021 Journal of information processing systems Vol.17 No.2
Given that most of the link prediction algorithms for signed social networks can only complete sign prediction, a novel algorithm is proposed aiming to achieve both link prediction and sign prediction in signed networks. Based on the structural balance theory, the local link tightness and global link tightness are defined respectively by using the structural information of paths with the step size of 2 and 3 between the two nodes. Then the total similarity of the node pair can be obtained by combining them. Its absolute value measures the possibility of the two nodes to establish a link, and its sign is the sign prediction result of the predicted link. The effectiveness and correctness of the proposed algorithm are verified on six typical datasets. Comparison and analysis are also carried out with the classical prediction algorithms in signed networks such as CN-Predict, ICN-Predict, and PSNBS (prediction in signed networks based on balance and similarity) using the evaluation indexes like area under the curve (AUC), Precision, improved AUC′, improved Accuracy′, and so on. Results show that the proposed algorithm achieves good performance in both link prediction and sign prediction, and its accuracy is higher than other algorithms. Moreover, it can achieve a good balance between prediction accuracy and computational complexity.
Analysis of the failure mechanism and support technology for the Dongtan deep coal roadway
Chen, Miao,Yang, Sheng-Qi,Zhang, Yuan-Chao,Zang, Chuan-Wei Techno-Press 2016 Geomechanics & engineering Vol.11 No.3
The stability of deep coal roadways with large sections and thick top coal is a typical challenge in many coal mines in China. The innovative Universal Discrete Element Code (UDEC) trigon block is adopted to create a numerical model based on a case study at the Dongtan coal mine in China to better understand the failure mechanism and stability control mechanism of this kind of roadway. The failure process of an unsupported roadway is simulated, and the results suggest that the deformation of the roof is more serious than that of the sides and floor, especially in the center of the roof. The radial stress that is released is more intense than the tangential stress, while a large zone of relaxation appears around the roadway. The failure process begins from partial failure at roadway corners, and then propagates deeper into the roof and sides, finally resulting in large deformation in the roadway. A combined support system is proposed to support roadways based on an analysis of the simulation results. The numerical simulation and field monitoring suggest that the availability of this support method is feasible both in theory and practice, which can provide helpful references for research on the failure mechanisms and scientific support designing of engineering in deep coal mines.
Absence of EZH2 Gene Mutation in Chronic Myeloid Leukemia Patients in Blast Crisis
Chen, Hao-Yue,Yao, Hong,Wu, Ling-Yu,Liu, Can-Jun,Zhu, Jian-Qin,Liu, Chun-Hua,Wang, Wei,Dong, Sha-Sha,Ping, Na-Na,Chen, Su-Ning,Sun, Miao Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.5
Biochemical Characterization of Exoribonuclease Encoded by SARS Coronavirus
Chen, Ping,Jiang, Miao,Hu, Tao,Liu, Qingzhen,Chen, Xiaojiang S.,Guo, Deyin Korean Society for Biochemistry and Molecular Biol 2007 Journal of biochemistry and molecular biology Vol.40 No.5
The nsp14 protein is an exoribonuclease that is encoded by severe acute respiratory syndrome coronavirus (SARS-CoV). We have cloned and expressed the nsp14 protein in Escherichia coli, and characterized the nature and the role(s) of the metal ions in the reaction chemistry. The purified recombinant nsp14 protein digested a 5'-labeled RNA molecule, but failed to digest the RNA substrate that is modified with fluorescein group at the 3'-hydroxyl group, suggesting a 3'-to-5' exoribonuclease activity. The exoribonuclease activity requires $Mg^{2+}$ as a cofactor. Isothermal titration calorimetry (ITC) analysis indicated a two-metal binding mode for divalent cations by nsp14. Endogenous tryptophan fluorescence and circular dichroism (CD) spectra measurements showed that there was a structural change of nsp14 when binding with metal ions. We propose that the conformational change induced by metal ions may be a prerequisite for catalytic activity by correctly positioning the side chains of the residues located in the active site of the enzyme.
Chen, Jin-Lian,Sun, Shi-Zhong,Miao, Cui-Ping,Wu, Kai,Chen, You-Wei,Xu, Li-Hua,Guan, Hui-Lin,Zhao, Li-Xing The Korean Society of Ginseng 2016 Journal of Ginseng Research Vol.40 No.4
Background: Biocontrol agents are regarded as promising and environmental friendly approaches as agrochemicals for phytodiseases that cause serious environmental and health problems. Trichoderma species have been widely used in suppression of soil-borne pathogens. In this study, an endophytic fungus, Trichoderma gamsii YIM PH30019, from healthy Panax notoginseng root was investigated for its biocontrol potential. Methods: In vitro detached healthy roots, and pot and field experiments were used to investigate the pathogenicity and biocontrol efficacy of T. gamsii YIM PH30019 to the host plant. The antagonistic mechanisms against test phytopathogens were analyzed using dual culture, scanning electron microscopy, and volatile organic compounds (VOCs). Tolerance to chemical fertilizers was also tested in a series of concentrations. Results: The results indicated that T. gamsii YIM PH30019 was nonpathogenic to the host, presented appreciable biocontrol efficacy, and could tolerate chemical fertilizer concentrations of up to 20%. T. gamsii YIM PH30019 displayed antagonistic activities against the pathogenic fungi of P. notoginseng via production of VOCs. On the basis of gas chromatography-mass spectrometry, VOCs were identified as dimethyl disulfide, dibenzofuran, methanethiol, ketones, etc., which are effective ingredients for antagonistic activity. T. gamsii YIM PH30019 was able to improve the seedlings' emergence and protect P. notoginseng plants from soil-borne disease in the continuous cropping field tests. Conclusion: The results suggest that the endophytic fungus T. gamsii YIM PH30019 may have a good potential as a biological control agent against notoginseng phytodiseases and can provide a clue to further illuminate the interactions between Trichoderma and phytopathogens.
Miao Du,Shikun Chen,Yang Chen,Xinxu Yuan,Huansheng Dong Asian Australasian Association of Animal Productio 2024 Animal Bioscience Vol.37 No.1
Objective: Testicular fat deposition has been reported to affect animal reproduction. However, the underlying mechanism remains poorly understood. The present study explored whether sperm meiosis and testosterone synthesis contribute to mouse testicular fat deposition-induced reproductive performance. Methods: High fat diet (HFD)-induced obesity CD1 mice (DIO) were used as a testicular fat deposition model. The serum hormone test was performed by agent kit. The quality of sperm was assessed using a Sperm Class Analyzer. Testicular tissue morphology was analyzed by histochemical methods. The expression of spermatocyte marker molecules was monitored by an immuno-fluorescence microscope during meiosis. Analysis of the synthesis of testosterone was performed by real-time polymerase chain reaction and reagent kit. Results: It was found that there was a significant increase in body weight among DIO mice, however, the food intake showed no difference compared to control mice fed a normal diet (CTR). The number of offspring in DIO mice decreased, but there was no significant difference from the CTR group. The levels of follicle-stimulating hormone were lower in DIO mice and their luteinizing hormone levels were similar. The results showed a remarkable decrease in sperm density and motility among DIO mice. We also found that fat accumulation affected the meiosis process, mainly reflected in the cross-exchange of homologous chromosomes. In addition, overweight increased fat deposition in the testis and reduced the expression of testosterone synthesis-related enzymes, thereby affecting the synthesis and secretion of testosterone by testicular Leydig cells. Conclusion: Fat accumulation in the testes causes testicular cell dysfunction, which affects testosterone hormone synthesis and ultimately affects sperm formation.