Academic literature on the topic 'Dian shi (yi shu)'

Abstract An important feature of Naitō Konan’s historiography is his progressive view of history. The development of this progressive view came not only from modern Western scholarship but also from early-modern Chinese and Japanese traditional scholarship. Examples of such Chinese scholarship are Du You’s Tong dian, Zhu Xi’s Zhuzi yu lei, Wang Yinglin’s Kunxue jiwen and Zhang Xuecheng’s Wen shi tong yi, which were all works that Naitō liked to read. This essay will show Naitō’s points of convergence with Zhang Xuecheng’s scholarship, in particular, his advocating that the Six Classics are all historical works, and will evaluate Naitō’s attempts to fi nd spiritual similarities between Chinese and Western scholarship.

The Longquanzhan deposit is one of the largest gold deposits in the Yi-Shu fault zone (central section of the Tan-Lu fault zone) in Shandong Province, China. It is an altered-rock type gold deposit in which ore bodies mainly occur at the contact zone between the overlying Cretaceous rocks and the underlying Neoarchean gneissic monzogranite. Shi et al. reported that this deposit formed at 96 ± 2 Ma using pyrite Rb–Sr dating method and represents a new gold mineralization event in the Shandong Province in 2014. In this paper, we present new He–Ar–S isotopic compositions to further decipher the sources of fluids responsible for the Longquanzhan gold mineralization. The results show that the δ34S values of pyrites vary between 0.9‰ and 4.4‰ with an average of 2.3‰. Inclusion-trapped fluids in ore sulfides have 3He/4He and 40Ar/36Ar ratios of 0.14–0.78 Ra and 482–1811, respectively. These isotopic data indicate that the ore fluids are derived from a magmatic source, which is dominated by crustal components with minor mantle contribution. Air-saturated water may be also involved in the hydrothermal system during the magmatic fluids ascending or at the shallow deposit site. We suggest that the crust-mantle mixing signature of the Longquanzhan gold deposit is genetically related to the Late Cretaceous lithospheric thinning along the Tan-Lu fault zone, which triggers constantly uplifting of the asthenosphere surface and persistent ascending of the isotherm plane to form the gold mineralization-related crustal level magma sources. This genetic model can be applied, to some extent, to explain the ore genesis of other deposits near or within the Tan-Lu fault belt.

Abstract Background. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor biology. As part of the NCI Human Tumor Atlas Network (HTAN), we conducted comprehensive genomic analyses on two large DCIS case-control cohorts. Methods. We performed smart3-seq and low-pass whole genome sequencing on two independent, retrospective, longitudinally sampled DCIS case-control cohorts. TBCRC 038 was a multicenter cohort diagnosed with DCIS between 1998 and 2016 at one of the Translational Breast Cancer Research sites; the RAHBT (Resource of Archival Human Breast Tissue) cohort included women identified through the St. Louis Breast Tissue Repository, and the Women’s Health Repository diagnosed between 1997 and 2001. We studied the spectrum of molecular changes present and sought genomic predictors of subsequent ipsilateral breast events (iBEs: DCIS recurrence or invasive progression) in both DCIS epithelium and stroma in formalin fixed paraffin embedded tissue. We generated de novo tumor and stroma-centric subtypes for DCIS that represents fundamental transcriptomic organization. Copy number analysis was performed using low-pass DNA sequencing. Non-negative matrix factorization (NMF) was applied to the RNA expression of all coding genes to identify clusters. A negative-binomial regression model was used to identify differentially expressed genes. Results. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up. In TBCRC samples, we identified three clusters via NMF in TBCRC referred to as ER low, quiescent, and ER high. The ER-low cluster had significantly higher levels of ERBB2 and lower levels of ESR1 compared to quiescent and ER-high clusters. Quiescent cluster lesions were less proliferative and less metabolically active than ER high and ER low subtypes. These findings were replicated in the RAHBT cohort. Focusing on the stromal component of DCIS from laser capture microdissection in RAHBT samples, we identified four distinct DCIS-associated stromal clusters. A “normal-like” stromal cluster with ECM organization and PI3K-AKT signaling; a “collagen-rich” stromal cluster; a “desmoplastic” stromal cluster with high fibroblast and total myeloid abundance, mostly associated with macrophages and myeloid dendritic cells (mDC); and an “immune-dense” stromal cluster. Further, we compared differentially expressed genes in patients with or without subsequent iBEs within 5 years of diagnosis. Hypothesizing that the resulting 812 DE genes (DESeq2) represent multiple routes to subsequent iBEs, we leveraged NMF to identify paths to progression. In both TBCRC and RAHBT cohorts, poor outcome groups exhibited increased ER, MYC signaling, and oxidative phosphorylation, supporting that these pathways are important for DCIS recurrence and progression. Conclusion. Comprehensive genomic profiling in two independent DCIS cohorts with longitudinal outcomes shows distinct DCIS stromal expression patterns and immune cell composition. RNA expression profiles reveal underlying tumor biology that is associated with later iBEs in both cohorts. These studies provide new insight into DCIS biology and will guide the design of diagnostic strategies to prevent invasive progression. Citation Format: Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West. The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS4-07.

Objetivo: Esse estudo objetivou investigar percepções de estudantes de Odontologia quanto ao medo e à ansiedade em relação ao manejo de pacientes e ao risco de infecção por COVID-19. Materiais e métodos: Esse estudo transversal envolveu todos os alunos regularmente matriculados em Odontologia, no primeiro semestre de 2020, da Universidade Federal de Pelotas. Um questionário foi aplicado, coletando dados demográficos, nível de formação e perguntas relacionadas ao medo e ansiedade frente à pandemia de COVID-19. Quatro comparações de acordo com a fase da graduação (fase pré-clínica ou clínica), nível de graduação e pós-graduação e de acordo com os sexos foram feitas. Análises independentes para as comparações entre os sexos foram realizadas para os alunos de graduação e de pós-graduação (α<5%). Resultados: Foram incluídos 408 estudantes. Na graduação, mulheres relataram sentirem-se mais ansiosas ao realizar tratamento em pacientes com suspeita de COVID-19 (54%) e sentem mais medo ao ouvir que a infecção tem causado mortes (92,4%), na pós-graduação, responderam ser mais nervosas para conversar com pacientes em ambientes fechados em comparações com homens (P<0,05). Alunos em fase pré-clínica possuem significativamente menor receio (65,5%), ansiedade (32,3%) e nervosismo (28,3%) do contágio do COVID-19 quando comparados com aqueles na fase clínica. Conclusões: Mulheres e alunos na fase clínica apresentam maior ansiedade e nervosismo. Descritores: Ansiedade; Estudantes de Odontologia; Medo; Infecções por Coronavírus. Referências Chang J, Yuan Y, Wang D. [Mental health status and its influencing factors among college students during the epidemic of COVID-19]. Nan Fang Yi Ke Da Xue Xue Bao. 2020;40(2):171-176. World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19- 11 March 2020. 2020. Disponível em: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. Acesso em: 8 de novembro de 2020. Pascarella G, Strumia A, Piliego C, Bruno F, Del Buono R, Costa F, Scarlata S, Agrò FE. COVID-19 diagnosis and management: a comprehensive review. J Intern Med. 2020;288(2):192-206. Chen E, Lerman K, Ferrara E. Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health Surveill. 2020;6(2):e19273. Iyer P, Aziz K, Ojcius DM. Impact of COVID-19 on dental education in the United States. J Dent Educ. 2020;84(6):718-722. Meng L, Hua F, Bian Z. Coronavirus Disease 2019 (COVID-19): Emerging and Future Challenges for Dental and Oral Medicine. J Dent Res. 2020;99(5):481-487. Peng X, Xu X, Li Y, Cheng L, Zhou X, Ren B. Transmission routes of 2019-nCoV and controls in dental practice. Int J Oral Sci. 2020;12(1):9. Machado RA, Bonan PRF, Perez DEDC, Martelli Júnior H. COVID-19 pandemic and the impact on dental education: discussing current and future perspectives. Braz Oral Res. 2020;34:e083. Ataş O, Talo Yildirim T. Evaluation of knowledge, attitudes, and clinical education of dental students about COVID-19 pandemic. PeerJ. 2020;8:e9575. Deery C. The COVID-19 pandemic: implications for dental education. Evid Based Dent. 2020;21(2):46-47. Basudan S, Binanzan N, Alhassan A. Depression, anxiety and stress in dental students. Int J Med Educ. 2017;8:179-186. Elani HW, Allison PJ, Kumar RA, Mancini L, Lambrou A, Bedos C. A systematic review of stress in dental students. J Dent Educ. 2014; 78(2):226-42. Sahu P. Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff. Cureus. 2020;12(4):e7541. Ahmed MA, Jouhar R, Ahmed N, Adnan S, Aftab M, Zafar MS, Khurshid Z. Fear and Practice Modifications among Dentists to Combat Novel Coronavirus Disease (COVID-19) Outbreak. Int J Environ Res Public Health. 2020;17(8):2821. Talevi D, Socci V, Carai M, Carnaghi G, Faleri S, Trebbi E, di Bernardo A, Capelli F, Pacitti F. Mental health outcomes of the CoViD-19 pandemic. Riv Psichiatr. 2020;55(3):137-44. Mijiritsky E, Hamama-Raz Y, Liu F, Datarkar AN, Mangani L, Caplan J, Shacham A, Kolerman R, Mijiritsky O, Ben-Ezra M, Shacham M. Subjective Overload and Psychological Distress among Dentists during COVID-19. Int J Environ Res Public Health. 2020;17:5074. Rymarowicz J, Stefura T, Major P, Szeliga J, Wallner G, Nowakowski M, Pędziwiatr M. General surgeons' attitudes towards COVID-19: A national survey during the SARS-CoV-2 virus outbreak. Eur Surg. 2020;1-6. Adams JG, Walls RM. Supporting the Health Care Workforce During the COVID-19 Global Epidemic. JAMA. 2020;323(15):1439-40. Naz N, Iqbal S, Mahmood A. Stress, anxiety and depression among the dental students of university college of medicine and dentistry Lahore; Pakistan. Pak J Med Health Sci. 2017;11(4):1277-81. Waqas A, Iftikhar A, Malik Z, Aedma KK, Meraj H, Naveed S. Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study. Global Psychiatry. 2019;2(2):211-20. Wang Y, Di Y, Ye J, Wei W. Study on the public psychological states and its related factors during the outbreak of coronavirus disease 2019 (COVID-19) in some regions of China. Psychol Health Med. 2020;1-10. Xiong J, Lipsitz O, Nasri F, Lui LMW, Gill H, Phan L, Chen-Li D, Iacobucci M, Ho R, Majeed A, McIntyre RS. Impact of COVID-19 pandemic on mental health in the general population: A systematic review. J Affect Disord. 2020;277:55-64. Liu N, Zhang F, Wei C, Jia Y, Shang Z, Sun L, Wu L, Sun Z, Zhou Y, Wang Y, Liu W. Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Res. 2020;287;112921. Terán E, Mayta-Tovalino F. Risk Factors, Self-perceived Stress, and Clinical Training among Dentistry Students in Peru: A Cross-sectional Study. J Contemp Dent Pract. 2019;20(5):561-5. Uraz A, Tocak YS, Yozgatligil C, Cetiner S, Bal B. Psychological well-being, health, and stress sources in Turkish dental students. J Dent Educ. 2013:77(10):1345-55. Agius AM, Gatt G, Vento Zahra E, Busuttil A, Gainza-Cirauqui ML, Cortes ARG et al. Self-reported dental student stressors and experiences during the COVID-19 pandemic. J Dent Educ. 2020. doi: 10.1002/jdd.12409. Hu J, Zou H, Dai Y, Feng Z. How to keep students engaged in oral health education during the COVID-19 pandemic. J Dent Educ. 2020. doi: 10.1002/jdd.12420. Liu S, Yang L, Zhang C, Xiang YT, Liu Z, Hu S, Zhang B. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e17-8. Maia BR, Dias PC. Anxiety, depression and stress in university students: the impact of COVID-19. Estudos de Psicologia (Campinas). 2020;37:e200067.

Diabetes Mellitus has been becoming a disease of the century, and disease incidence is still rising worldwide. It causes many serious complications, especially in the eye, heart, kidneys, brain, and vascular system, such as diabetic nephropathy, diabetic retinopathy, liver fa­ilure, etc. Moreover, the process of controlling this disease is complicated. Meanwhile, the antidiabetic drugs on the market are facing some problems with a wide range of adverse reactions. Therefore, finding new drugs to treat diabetes has always been a topic that many researchers are interested in, especially drugs derived from nature like microorganisms and medicinal plants. This review is to provide knowledge concerning the effects of α-glucosidase inhibitors, which are oral antidiabetic drugs commonly used for diabetes mellitus type 2. Besides, we show readers the variety of active ingredients originating from nature, particularly the secondary metabolites of Aspergillus spp., which have many applications in the chemical and medicinal industry. Keywords: Diabetes, α-glucosidase inhibitors, Aspergillus. References [1] W. H. Organization, Classification of Diabetes Mellitus, https://www.who.int/westernpacific/health-topics/diabetes (accessed on: May 11th, 2021).[2] J. Thrasher, Pharmacologic Management of Type 2 Diabetes Mellitus: Available Therapies, Am J Cardiol, Vol. 120, No. 1, 2017, pp. S4-S16, https://doi.org/10.1016/j.amjcard.2017.05.009.[3] W. Hakamata, M. Kurihara, H. Okuda, T. Nishio, T. Oku, Design and Screening Strategies for Alpha-glucosidase Inhibitors Based on Enzymological Information, Curr Top Med Chem, Vol. 9, No. 1, 2009, pp. 3-12, https://doi.org/10.2174/156802609787354306.[4] US, Patent Version Number: US4062950A, Amino Sugar Derivatives, https://patents.google.com/patent/US4062950A/en(accessed on: May 11th, 2021).[5] A. S. Dabhi, N. R. Bhatt, M. J. Shah, Voglibose: an Alpha- glucosidase Inhibitor, J Clin Diagn Res, Vol. 7, No. 12, 2013, pp. 3023-3027, https://doi.org/10.7860/JCDR/2013/6373.3838.[6] P. Durruty, M. Sanzana, L. Sanhueza, Pathogenesis of Type 2 Diabetes Mellitus, Type 2 Diabetes - from Pathophysiology to Modern Management, Intechopen, United Kingdom, 2019, pp. 1-18.[7] L. N. Khue, T. H. Dang, T. H. Quang, N. T. Khue et al., Guidelines for Diagnosis and Treatment of Diabetes Type 2, Ministry of Health, Vietnam, 2021 (in Vietnamese).[8] M. Okuyama, W. Saburi, H. Mori, A. Kimura, Alpha-Glucosidases and Alpha-1,4-Glucan Lyases: Structures, Functions, and Physiological Actions, Cell Mol Life Sci, Vol. 73, 2016, pp. 2727-2751, https://doi.org/10.1007/s00018-016-2247-5.[9] V. L. Yip, S. G. Withers, Nature's Many Mechanisms for The Degradation of Oligosaccharides, Org Biomol Chem, Vol. 19, No. 2, 2004, pp. 2707-2713, https://doi.org/10.1039/B408880H.[10] B. Henrissat, A. Bairoch, New Families in The Classification of Glycosyl Hydrolases Based on Amino Acid Sequence Similarities, Biochem J, Vol. 293, No. 3, 1993, pp. 781-788, https://doi.org/10.1042/bj2930781.[11] B. Henrissat, A Classification of Glycosyl Hydrolases Based on Amino Acid Sequence Similarities, Biochem J, Vol. 280, No. 2, 1991, pp. 309-316, https://doi.org/10.1042/bj2800309.[12] R. Gupta, P. Gigras, H. Mohapatra, V. K. Goswami, B. Chauhan, Microbial A-amylases: A Biotechnological Perspective, Process Biochemistry, Vol. 38, No. 11, 2003, pp. 1599-1616, https://doi.org/10.1016/s0032-9592(03)00053-0.[13] C. V. D. Maarel, B. V. D. Veen, J. C .M. Uitdehaag, H. Leemhuis, L. Dijkhuizen, Properties and Applications of Starch-Converting Enzymes of The A-Amylase Family, Journal of Biotechnology, Vol. 94, No. 2, 2002, pp. 137-155, https://doi.org/10.1016/s0168-1656(01)00407-2.[14] N. R. Kim, D. W. Jeong, D. S. Ko, J. H. Shim, Characterization of Novel Thermophilic Alpha-Glucosidase from Bifidobacterium Longum, Int J Biol Macromol, Vol. 99, 2017, pp. 594-599, https://doi.org/10.1016/j.ijbiomac.2017.03.009.[15] D. R. Rose, M. M. Chaudet, K. Jones, Structural Studies of The Intestinal Alpha-Glucosidases, Maltase-glucoamylase and Sucrase-isomaltase, J Pediatr Gastroenterol Nutr, Vol. 66, No. 3, 2018, pp. S11-S13, https://doi.org/10.1097/MPG.0000000000001953.[16] L. Ren, X. Qin, X. Cao, L. Wang, F. Bai, G. Bai, Y. Shen, Structural Insight into Substrate Specificity of Human Intestinal Maltase-Glucoamylase, Protein Cell, Vol. 2, 2011, pp. 827-836, https://doi.org/10.1007/s13238-011-1105-3.[17] L. Sim, C. Willemsma, S. Mohan, H. Y. Naim, B. M. Pinto, D. R. Rose, Structural Basis for Substrate Selectivity in Human Maltase-Glucoamylase and Sucrase-Isomaltase N-Terminal Domains, J Biol Chem, Vol. 285, No. 23, 2010, pp. 17763-17770, https://doi.org/10.1074/jbc.M109.078980.[18] K. Jones, L. Sim, S. Mohan, J. Kumarasamy,H. Liu, S. Avery, H. Y. Naim, R. Q. Calvillo, B. L. Nichols, B. M. Pinto, D. R. Rose, Mapping The Intestinal Alpha-Glucogenic Enzyme Specificities of Starch Digesting Mal se-Glucoamylase and Sucrase-Isomaltase, Bioorg Med Chem, Vol. 19, 2011, pp. 3929-3934, https://doi.org/10.1016/j.bmc.2011.05.033.[19] P. T. T. Chau, P. T. Nghia, Enzyme and Application, Education Publisher, Vietnam, 2009.[20] Researchgate, Food Protein-Derived Bioactive Peptides in Management of Type 2 Diabetes - Scientific Figure, https://www.researchgate.net/figure/Mechanism-of-action-of-alpha-glucosidase-inhibitors_fig2_279991207 (accessed on: May 10th, 2021).[21] Z. Liu, S. Ma, Recent Advances in Synthetic Alpha-Glucosidase Inhibitors, Chem Med Chem, Vol. 12, No. 11, 2017, pp. 819-829, https://doi.org/10.1002/cmdc.201700216.[22] A. Lee, P. Patrick, J. Wishart, M. Horowitz, J. E. Morley, The Effects of Miglitol on Glucagon-Like Peptide-1 Secretion And Appetite Sensations in Obese Type 2 Diabetics, Diabetes Obes Metab, Vol. 4, No. 5, 2002, pp. 329-335, https://doi.org/10.1046/j.14631326.2002.00219.x.[23] I. Takei, K. Miyamoto, O. Funae, N. Ohashi, S. Meguro, M. Tokui, T. Saruta, Secretion of GIP in Responders to Acarbose in Obese Type 2 (NIDDM) Patients, Journal of Diabetes and Its Complications, Vol. 15, No. 5, 2001, pp. 245-249, https://doi.org/10.1016/s1056-8727(01)00148-9.[24] X. Bian, X. Fan, C. Ke, Y. Luan, G. Zhao, A. Zeng, Synthesis and Alpha-Glucosidase Inhibitory Activity Evaluation of N-Substituted Aminomethyl-Beta-D-Glucopyranosides, Bioorg Med Chem, Vol. 21, No. 17, 2013, pp. 5442-5450, https://doi.org/10.1016/j.bmc.2013.06.002.[25] J. B. Yang, J. Y. Tian, Z. Dai, F. Ye, S. C. Ma, A. G. Wang, α-Glucosidase Inhibitors Extracted from The Roots of Polygonum Multiflorum Thunb, Fitoterapia, Vol. 117, 2017, pp. 65-70, https://doi.org/10.1016/j.fitote.2016.11.009.[26] Z. Yin, W. Zhang, F. Feng, Y. Zhang, W. Kang, α-Glucosidase Inhibitors Isolated from Medicinal Plants, Food Science and Human Wellness, Vol. 3, No.3-4, 2014, pp. 136-174, https://doi.org/10.1016/j.fshw.2014.11.003.[27] P. Qiu, Z. Liu, Y. Chen, R. Cai, G. Chen, Z. She, Secondary Metabolites with Alpha-Glucosidase Inhibitory Activity from The Mangrove Fungus Mycosphaerella sp. SYSU-DZG01, Mar Drugs, Vol. 17, No. 8, 2019, pp. 483-508, https://doi.org/10.3390/md17080483.[28] S. Munasaroh, S. R. Tamat, R. T. Dewi, Isolation and Identification of α-Glucosidase Inhibitor from Aspergillus Terreus F38, Indonesian Journal of Pharmacy, Vol. 29, No. 2, 2018, pp. 74-79, https://doi.org/10.14499/indonesianjpharm29iss2pp74.[29] R. T. Dewi, A. Suparman, H. Mulyani, P. D. N. Lotulung, Identification of A New Compound as α-Glucosidase Inhibitor from Aspergillus Aculeatus, Annales Bogorienses, Vol. 20, No. 1, 2016, pp. 19-23, https://doi.org/10.14203/ann. bogor .2016.v20.n1.19-23.[30] R. T. Dewi, S. Tachibana, A. Darmawan, Effect on α-Glucosidase Inhibition and Antioxidant Activities of Butyrolactone Derivatives from Aspergillus Terreus MC751, Medicinal Chemistry Research, Vol. 23, 2014, pp. 454-460, https://doi.org/10.1007/s00044-013-0659-4.[31] M. G. Kang, S. H. Yi, J. S. Lee, Production and Characterization of A New Alpha-Glucosidase Inhibitory Peptide from Aspergillus Oryzae N159-1, Mycobiology, Vol. 41, No. 3, 2013, pp. 149-154, https://doi.org/10.5941/MYCO.2013.41.3.149.[32] S. Onose, R. Ikeda, K. Nakagawa, T. Kimura, K. Yamagishi, O. Higuchi, T. Miyazawa, Production of The Alpha-Glycosidase Inhibitor 1-Deoxynojirimycin from Bacillus Species, Food Chem, Vol. 138, No. 1, 2013, pp. 516-523, https://doi.org/10.1016/j.foodchem.2012.11.012.[33] Y. P. Zhu, K. Yamaki, T. Yoshihashi, M. Ohnishi Kameyama, X. T. Li, Y. Q. Cheng, Y. Mori, L. T. Li, Purification and Identification of 1-Deoxynojirimycin (DNJ) in Okara Fermented by Bacillus Subtilis B2 from Chinese Traditional Food (Meitaoza), J Agric Food Chem, Vol. 58,No. 7, 2010, pp. 4097-4103, https://doi.org/10.1021/jf9032377.[34] A. Tabussum, N. Riaz, M. Saleem, M. Ashraf, M. Ahmad, U. Alam, B. Jabeen, A. Malik, A. Jabbar, α-Glucosidase Inhibitory Constituents from Chrozophora Plicata, Phytochemistry Letters, Vol. 6, No. 4. 2013, pp. 614-619, https://doi.org/10.1016/j.phytol.2013.08.005.[35] M. Yagi, T. Kouno, Y. Aoyagi, H. Murai, The Structure of Moranoline, A Piperidine Alkaloid from Morus Species, Journal of The Agricultural Chemical Society of Japan, Vol. 50, No. 11, 1976, pp. 571-572, https://doi.org/10.1271/nogeikagaku1924.50.11_571.[36] M. Hemker, A. Stratmann, K. Goeke, W. Schroder, J. Lenz, W. Piepersberg, H. Pape, Identification, Cloning, Expression, and Characterization of The Extracellular Acarbose-Modifying Glycosyltransferase, AcbD, from Actinoplanes Sp. Strain SE50, J Bacteriol, Vol. 183, No. 15, 2001, pp. 4484-4492, https://doi.org/10.1128/JB.183. 15.4484-4492.2001.[37] E. Truscheit, I. Hillebrand, B. Junge, L. Müller, W. Puls, D. 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Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 119-123). Also available in electronic version. Access restricted to campus users.