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Journal articles on the topic 'Biology Classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Kunimoto, Kayo, Yuki Yamamoto, and Masatoshi Jinnin. "ISSVA Classification of Vascular Anomalies and Molecular Biology." International Journal of Molecular Sciences 23, no. 4 (February 21, 2022): 2358. http://dx.doi.org/10.3390/ijms23042358.

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Vascular anomalies include various diseases, which are classified into two types according to the International Society for the Study of Vascular Anomalies (ISSVA) classification: vascular tumors with proliferative changes of endothelial cells, and vascular malformations primarily consisting of structural vascular abnormalities. The most recent ISSVA classifications, published in 2018, detail the causative genes involved in many lesions. Here, we summarize the latest findings on genetic abnormalities, with the presentation of the molecular pathology of vascular anomalies.

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2

Tsikitis, Vassiliki L., and Maureen A. Chung. "Biology of Ductal Carcinoma in Situ Classification Based on Biologic Potential." American Journal of Clinical Oncology 29, no. 3 (June 2006): 305–10. http://dx.doi.org/10.1097/01.coc.0000198740.33617.2f.

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3

Rindi, G. "Classification and Tumor Biology of Nets." Annals of Oncology 23 (September 2012): ix47. http://dx.doi.org/10.1093/annonc/mds384.

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4

Carey, Francis A. "Pulmonary adenocarcinoma: classification and molecular biology." Journal of Pathology 184, no. 3 (March 1998): 229–30. http://dx.doi.org/10.1002/(sici)1096-9896(199803)184:3<229::aid-path18>3.0.co;2-0.

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5

Wang, Yunxiang, and Yupei Wang. "BIOLOGY AND CLASSIFICATION OF PRYMNESIUM SALTANS." Acta Hydrobiologica Sinica 16, no. 3 (July 1, 1992): 193–99. http://dx.doi.org/10.3724/issn1000-3207-1992-3-193-j.

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6

Kerr, Keith M. "Classification of Lung Cancer: Proposals for Change?" Archives of Pathology & Laboratory Medicine 136, no. 10 (October 1, 2012): 1190–93. http://dx.doi.org/10.5858/arpa.2012-0240-sa.

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Clinical need and developments in pathology and molecular biology require our cancer classifications to be constantly updated to keep them relevant and useful. A review of lung cancer classification is due and has been initiated with new proposals on classification of lung adenocarcinoma. Other major lung cancer types also deserve a similar consideration. As well as addressing the categories of tumor, as signed out in surgical resection specimens, recent proposals on small diagnostic-sample reporting would be an important addition to any new classification. The huge increase in data on the molecular biology of lung cancer has improved our understanding of these diseases, has driven improved therapy for some patients, and must be reflected in the way lung cancer is classified.

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7

Kluge, Arnold G., and Alec L. Panchen. "Classification, Evolution and the Nature of Biology." Systematic Biology 42, no. 4 (December 1993): 591. http://dx.doi.org/10.2307/2992493.

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8

Lewall, D. B. "Hydatid disease: Biology, pathology, imaging and classification." Clinical Radiology 53, no. 12 (December 1998): 863–74. http://dx.doi.org/10.1016/s0009-9260(98)80212-2.

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9

Harrison, Terry. "Classification, evolution, and the nature of biology." International Journal of Primatology 15, no. 3 (June 1994): 503–5. http://dx.doi.org/10.1007/bf02696108.

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10

Stéphanou, A., and V. Volpert. "Hybrid Modelling in Biology: a Classification Review." Mathematical Modelling of Natural Phenomena 11, no. 1 (December 3, 2015): 37–48. http://dx.doi.org/10.1051/mmnp/201611103.

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11

Quicke, Donald L. J. "Classification, evolution and the nature of biology." Endeavour 17, no. 2 (January 1993): 99. http://dx.doi.org/10.1016/0160-9327(93)90232-r.

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12

Hedegaard, Claus. "Biological Classification—Organizing Organisms." Paleontological Society Special Publications 11 (2002): 63–76. http://dx.doi.org/10.1017/s2475262200009825.

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This is a personal guided tour of biological classification, not a quick-and-dirty manual, nor a comprehensive account of the history of systematic biology. This is a reflection on why and how we classify extinct and extant organisms. I wish to explore alternative views of hierarchy, permanence and delineation of categories, and the use of data. I hope to convince you that biological classifications are necessary tools, but also strong ideological statements. The prevailing approach to classification at any time reflects distinct views on nature, how it is organized, and how you use information.

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Hedegaard, Claus. "Biological Classification - Organizing Organisms." Paleontological Society Special Publications 9 (1999): 77–94. http://dx.doi.org/10.1017/s2475262200014027.

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This is a personal, guided tour of biological classification, not a quick-and-dirty manual, nor a comprehensive account of the history of systematic biology. This a reflection on why and how we classify extinct and extant organisms. I wish to explore alternative views of hierarchy, permanence and delineation of categories, and the use of data. I hope to convince you that biological classifications are necessary tools, but also strong ideological statements. The prevailing approach to classification at any time reflects distinct views on nature, how it is organized, and how you use information.

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14

Parshall, A. M., and R. G. Priest. "Nosology, Taxonomy and the Classification Conundrum of the Functional Psychoses." British Journal of Psychiatry 162, no. 2 (February 1993): 227–36. http://dx.doi.org/10.1192/bjp.162.2.227.

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The theory underlying medical classification is not always given sufficient regard. Here systematic methods developed in biology are summarised and compared with parallel developments in nosology. The classification of the functional psychoses is discussed as an example of a methodological problem in medicine. We consider that cladism could have a useful application in nosology, and could lead to classifications based on the concept of interrelationships of disease.

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15

Gnoli, Claudio. "Genealogical Classification." KNOWLEDGE ORGANIZATION 50, no. 7 (2023): 496–506. http://dx.doi.org/10.5771/0943-7444-2023-7-496.

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Genealogical classification, also described in different contexts as “genetic”, “phylogenetic”, “historical” or “evolutionary”, is the classification of any set of entities according to their origin from pre-existing entities. Entities that share a common ancestry are thus grouped together. Scientific taxonomies of organisms are famously based on this principle, especially after Darwin’s introduction of historical methodology in biology. The competing biological schools of cladistic, evolutionary and phenetic taxonomy are good examples of general issues involved in taking genealogy as, respectfully, the only principle, or just one principle along with diversity, or a completely excluded principle. However, a variety of other special sciences have also considered genetic principles for classification, including astronomy, Earth sciences, linguistics, cultural anthropology and musicology; tentative applications of “phylomemetics” to LIS have also been proposed. Many library classifications, notably the Bliss Bibliographic Classification, have applied evolutionary principles to the general order of disciplines. Other authors have suggested that historical relationships among disciplines themselves, or among individual scholars and works, can be represented by an analogous genealogical approach.

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16

Davydova, Irina Yu, V. V. Kuznetsov, A. I. Karseladze, and L. A. Meshcheryakova. "Serous ovarian borderline tumors: modern classification and biology." Russian Journal of Oncology 21, no. 5 (October 15, 2016): 228–32. http://dx.doi.org/10.18821/1028-9984-2016-21-5-228-232.

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In this article there are considered current views on biology of ovarian serous borderline tumors, there is presented a modern histological classification of 2014, which has undergone some changes. Variants of serous borderline tumors are described in terms of morphology, clinical course and prognosis. Also there is discussed the issue of the pathogenesis in the development of ovarian borderline tumors, the contribution of gene mutations in the occurrence of borderline, poorly or well differentiated ovarian tumors. There are described in details features of morphology of serous borderline tumors, the interrelationship of their occurrence and dedifferentiation in dependence on the molecular and genetic deteriorations. In the article there is considered the microinvasive version of the serous borderline tumors and specified criteria for the establishment of this diagnosis. There are given the definition and characterization of micropapillary serous borderline tumors, there is discussed their impact on the course of the disease and prognosis. The issue of terminology is considered in terms of current views and history.

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17

Synnergren, Jane, Björn Olsson, and Jonas Gamalielsson. "Classification of Information Fusion Methods in Systems Biology." In Silico Biology 9, no. 3 (2009): 65–76. http://dx.doi.org/10.3233/isb-2009-0391.

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18

STEIN, H. "Malignant lymphoma: current aspects in biology and classification." Journal of Internal Medicine 242 (July 1997): 53–54. http://dx.doi.org/10.1111/joim.1997.242.s740.53.

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19

Wang, Hong-Qiang, Gao-Jian Jing, and Chunhou Zheng. "Biology-constrained gene expression discretization for cancer classification." Neurocomputing 145 (December 2014): 30–36. http://dx.doi.org/10.1016/j.neucom.2014.04.064.

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20

Raffaghello, Lizzia, and Francesco Dazzi. "Classification and biology of tumour associated stromal cells." Immunology Letters 168, no. 2 (December 2015): 175–82. http://dx.doi.org/10.1016/j.imlet.2015.06.016.

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21

Williams, Jesse W., Chiara Giannarelli, Adeeb Rahman, Gwendalyn J. Randolph, and Jason C. Kovacic. "Macrophage Biology, Classification, and Phenotype in Cardiovascular Disease." Journal of the American College of Cardiology 72, no. 18 (October 2018): 2166–80. http://dx.doi.org/10.1016/j.jacc.2018.08.2148.

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22

Mayor, Charlie, and Lyn Robinson. "Ontological realism, concepts and classification in molecular biology." Journal of Documentation 70, no. 1 (January 7, 2014): 173–93. http://dx.doi.org/10.1108/jd-06-2013-0076.

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Purpose – The purpose of this article is to evaluate the development and use of the gene ontology (GO), a scientific vocabulary widely used in molecular biology databases, with particular reference to the relation between the theoretical basis of the GO, and the pragmatics of its application. Design/methodology/approach – The study uses a combination of bibliometric analysis, content analysis and discourse analysis. These analyses focus on details of the ways in which the terms of the ontology are amended and deleted, and in which they are applied by users. Findings – Although the GO is explicitly based on an objective realist epistemology, a considerable extent of subjectivity and social factors are evident in its development and use. It is concluded that bio-ontologies could beneficially be extended to be pluralist, while remaining objective, taking a view of concepts closer to that of more traditional controlled vocabularies. Originality/value – This is one of very few studies which evaluate the development of a formal ontology in relation to its conceptual foundations, and the first to consider the GO in this way.

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23

Carraro, Nicola. "Dualisers in Aristotle’s Biology." Apeiron 52, no. 2 (April 24, 2019): 137–65. http://dx.doi.org/10.1515/apeiron-2018-0004.

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Abstract Aristotle often claims that some animal kinds “dualise” between two opposite groups (e. g., terrestrial and aquatic, or biped and quadruped), i. e. that they belong “to both and to neither”. This claim is paradoxical since it appears to attribute incompatible features to the same kind. Some scholars have therefore suggested that, for Aristotle, dualisers are not an objective phenomenon, but rather a misleading appearance that depends of the ambiguity of terms like “aquatic”. Others have argued that Aristotle’s classifications contain overlaps because they are not meant to capture an essentialist hierarchy of kinds. I show that Aristotle sees dualisers as an objective feature of the world that does not depend on the ambiguity of our concepts, and that the passages on dualisers can be better understood on an essentialist (as opposed to a relativist) interpretation of classification. For Aristotle, dualisers belong “to both and to neither” of two opposite kinds because they belong to both in a spurious sense, but they are not full members of either.

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24

Funakoshi, Yusuke, Nobuhiro Hata, Daisuke Kuga, Ryusuke Hatae, Yuhei Sangatsuda, Yutaka Fujioka, Kosuke Takigawa, and Masahiro Mizoguchi. "Pediatric Glioma: An Update of Diagnosis, Biology, and Treatment." Cancers 13, no. 4 (February 12, 2021): 758. http://dx.doi.org/10.3390/cancers13040758.

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Recent research has promoted elucidation of the diverse biological processes that occur in pediatric central nervous system (CNS) tumors. Molecular genetic analysis is essential not only for proper classification, but also for monitoring biological behavior and clinical management of tumors. Ever since the 2016 World Health Organization classification of CNS tumors, molecular profiling has become an indispensable step in the diagnosis, prediction of prognosis, and treatment of pediatric as well as adult CNS tumors. These molecular data are changing diagnosis, leading to new guidelines, and offering novel molecular targeted therapies. The Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) makes practical recommendations using recent advances in CNS tumor classification, particularly in molecular discernment of these neoplasms as morphology-based classification of tumors is being replaced by molecular-based classification. In this article, we summarize recent knowledge to provide an overview of pediatric gliomas, which are major pediatric CNS tumors, and describe recent developments in strategies employed for their diagnosis and treatment.

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25

Hasserjian, Robert P., Todd W. Kelley, Olga K. Weinberg, Elizabeth A. Morgan, and Falko Fend. "Genetic Testing in the Diagnosis and Biology of Myeloid Neoplasms (Excluding Acute Leukemias)." American Journal of Clinical Pathology 152, no. 3 (July 2, 2019): 302–21. http://dx.doi.org/10.1093/ajcp/aqz069.

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AbstractObjectivesThe 2017 Workshop of the Society for Hematopathology/European Association for Haematopathology reviewed the role of genetic testing in the diagnosis of hematopoietic neoplasms, including non–acute leukemia myeloid malignancies.MethodsThe workshop panel assigned 98 submitted cases to the category of non–acute leukemia myeloid neoplasms, of which 13 were selected for oral presentation.ResultsData from both conventional karyotyping and genetic sequencing had important impact on diagnosis, classification, and prognostication. However, some cases had genetic results that appeared discordant from the morphology and/or clinical features. Thus, the workshop underscored the need for careful management of genetic data by the pathologist and clinician, in the context of other findings.ConclusionsThe workshop cases highlighted the significance of genetic aberrations in the diagnosis and treatment of non–acute leukemia myeloid neoplasms. Many genetic data have already been incorporated in the most recent World Health Organization classification, and undoubtedly they will factor increasingly in future classifications.

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26

Guo, Chunfeng, Bin Wei, and Kun Yu. "Deep Transfer Learning for Biology Cross-Domain Image Classification." Journal of Control Science and Engineering 2021 (December 15, 2021): 1–19. http://dx.doi.org/10.1155/2021/2518837.

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Automatic biology image classification is essential for biodiversity conservation and ecological study. Recently, due to the record-shattering performance, deep convolutional neural networks (DCNNs) have been used more often in biology image classification. However, training DCNNs requires a large amount of labeled data, which may be difficult to collect for some organisms. This study was carried out to exploit cross-domain transfer learning for DCNNs with limited data. According to the literature, previous studies mainly focus on transferring from ImageNet to a specific domain or transferring between two closely related domains. While this study explores deep transfer learning between species from different domains and analyzes the situation when there is a huge difference between the source domain and the target domain. Inspired by the analysis of previous studies, the effect of biology cross-domain image classification in transfer learning is proposed. In this work, the multiple transfer learning scheme is designed to exploit deep transfer learning on several biology image datasets from different domains. There may be a huge difference between the source domain and the target domain, causing poor performance on transfer learning. To address this problem, multistage transfer learning is proposed by introducing an intermediate domain. The experimental results show the effectiveness of cross-domain transfer learning and the importance of data amount and validate the potential of multistage transfer learning.

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27

Stoler, Mark H. "Human Papillomavirus Biology and Cervical Neoplasia: Implications for Diagnostic Criteria and Testing." Archives of Pathology & Laboratory Medicine 127, no. 8 (August 1, 2003): 935–39. http://dx.doi.org/10.5858/2003-127-935-hpbacn.

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Abstract Human papillomaviruses are necessary for the development of cervical neoplasia. Progress in our understanding of the epithelial biology of this common pathogen has greatly influenced current concepts of cervical carcinogenesis. This understanding has provided a framework for understanding the biologic basis of many diagnostic criteria. Furthermore, classification schemes, diagnostic testing, and clinical management have been modified and clarified in light of this knowledge.

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Cheng, Betty Yee Man, Jaime G. Carbonell, and Judith Klein-Seetharaman. "Protein classification based on text document classification techniques." Proteins: Structure, Function, and Bioinformatics 58, no. 4 (January 11, 2005): 955–70. http://dx.doi.org/10.1002/prot.20373.

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29

Byeon, Jung-Ho, Il-Sun Lee, and Yong-Ju Kwon. "Explicit Categorization Ability Predictor for Biology Classification using fMRI." Journal of The Korean Association For Science Education 32, no. 3 (June 30, 2012): 524–31. http://dx.doi.org/10.14697/jkase.2012.32.3.524.

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30

Poppema, Sibrand. "Genetics, biology and classification of non-Hodgkin's lymphomas (NHL)." European Journal of Cancer Supplements 1, no. 6 (September 2003): 5–14. http://dx.doi.org/10.1016/s1359-6349(03)90004-8.

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31

BARDENSTEIN, D. "Ocular Adnexal Lymphoma: Classification, Clinical Disease, and Molecular Biology." Ophthalmology Clinics of North America 18, no. 1 (March 2005): 187–97. http://dx.doi.org/10.1016/j.ohc.2004.11.001.

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32

Prchal, Josef T. "Classification and molecular biology of polycythemias (erythrocytoses) and thrombocytosis." Hematology/Oncology Clinics of North America 17, no. 5 (October 2003): 1151–58. http://dx.doi.org/10.1016/s0889-8588(03)00090-x.

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33

Bomze, Immanuel M. "Non-cooperative two-person games in biology: A classification." International Journal of Game Theory 15, no. 1 (March 1986): 31–57. http://dx.doi.org/10.1007/bf01769275.

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34

Rapin, Isabelle. "Classification of Behaviorally Defined Disorders: Biology Versus the DSM." Journal of Autism and Developmental Disorders 44, no. 10 (May 10, 2014): 2661–66. http://dx.doi.org/10.1007/s10803-014-2127-5.

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35

HODDA, MIKE. "Phylum Nematoda*." Zootaxa 1668, no. 1 (December 21, 2007): 265–93. http://dx.doi.org/10.11646/zootaxa.1668.1.14.

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The systematics of nematodes is reviewed, including: an overview of the general biology, ecology, scientific and economic importance of the group; a history of classification; evolutionary affinities and origins of nematodes; and the current diagnosis of the group. Alternative classifications within the Phylum Nematoda are discussed, and a classification to family level incorporating the latest molecular, developmental and morphological research is presented. This classification reflects the current views on evolution within the phylum, as well as significant areas of uncertainty, particularly related to the early evolution of nematodes. It includes 5 classes, 9 subclasses, 23 superorders, 39 orders, 52 suborders, 89 superfamilies and 241 families. There are few changes at the superfamily and family levels.

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36

Farkas, Julia R., Mark Sharobim, and Jefree J. Schulte. "Updates on the pathologic diagnosis and classification of mesothelioma." Journal of Cancer Metastasis and Treatment 8 (2022): 37. http://dx.doi.org/10.20517/2394-4722.2022.89.

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Mesothelioma is a rare malignant tumor of the serosal membranes that can be challenging to diagnose, especially on small biopsy specimens. There are updated guidelines on the diagnosis and classification of mesothelioma, which incorporate advancements in understanding mesothelioma biology published in the literature over recent years. This review will discuss marked developments and/or improvements that have been made, including: (1) to the histologic classifications of mesothelioma; (2) the use of such classifications and nuclear grading in prognosis; (3) the indispensability of ancillary studies in the diagnosis of mesothelioma; (4) the application of these pleural based classifications and diagnostic schemes in peritoneal mesothelioma; and (5) the potential for diagnosis of mesothelioma in situ.

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Bin Sajid, Hassaan, Areeba Afzal, Soha Fatima, Nimra Tabassum, Muhammad Hamza Awan, and Muhammad Asif Raheem. "An Overview on Synthetic Biology: its Classification, Engineering Approaches, and Applications of Synthetic Biology." Asian Journal of Basic Science & Research 05, no. 03 (2023): 40–49. http://dx.doi.org/10.38177/ajbsr.2023.5304.

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38

Lever, Jake, Martin Krzywinski, and Naomi Altman. "Classification evaluation." Nature Methods 13, no. 8 (July 28, 2016): 603–4. http://dx.doi.org/10.1038/nmeth.3945.

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MOUND, LAURENCE A., and DAVID C. MORRIS. "The insect Order Thysanoptera: Classification versus Systematics*." Zootaxa 1668, no. 1 (December 21, 2007): 395–411. http://dx.doi.org/10.11646/zootaxa.1668.1.21.

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Two widely different classifications of the insect order Thysanoptera are discussed; an essentially phylogenetic system recognizing nine families in two suborders, and an essentially phenetic system recognizing 40 families in two orders. This paper emphasizes the distinction between “classification” and “systematics”, the former stressing the importance of differences, whereas the latter stresses the importance of derived similarities. A phylogenetic (i.e. systematic) classification incorporates predictions concerning evolutionary relationships that are important throughout biological studies, whether in host and parasite associations, biogeography, comparative physiology or development. The available phenetic classification of Thysanoptera serves no such broader purpose in biology. Recent molecular data derived from the gene 18S rDNA are analysed, but although some groups of taxa are well resolved, the deep relationships within the Thysanoptera remain unclear.

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Hernawati, Hernawati, Yayan Sanjaya, Fransisca Sudargo, Any Aryani, Zamzam Nursani, Dita Puspitasari, Try Kurniawan, and Rahadian Deden Juansa. "Analisis kemampuan klasifikasi mahasiswa pendidikan biologi pada pembelajaran biosistematik hewan." Assimilation: Indonesian Journal of Biology Education 4, no. 1 (March 30, 2021): 9–15. http://dx.doi.org/10.17509/aijbe.v4i1.34821.

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This study aims to analyze the classification ability in animal biosystematics learning as the basis for making numerical taxonomies in biology education students. The method in this research consists of qualitative and quantitative analysis. Descriptive method is used for qualitative analysis and correlation method for quantitative analysis. The mixed methods strategy uses simultaneous triangulation because both qualitative and quantitative data are collected at the same time, then compared to identify convergence of differences or combinations of data. The number of students was 57 people who were divided into 11 groups. Ability classification is determined based on indicators that refer to science process skills. The classification ability indicator is made into six indicators, where each indicator is broken down into four sub indicators. The results of the analysis show that the classification abilities of the six indicators are: (1) recording each observation separately 89.04%, (2) looking for similarities and differences of 66.23%, (3) contrasting the features of 57.89%, (4) comparing of group characteristics 67.32%, (5) determining the basis for grouping 73.46%, and (6) connecting the results of observations 76.32%. The ability of individuals to make classifications in animal biosystematic learning reached 71.72%, while in groups it was 71.98%. Based on the results above, it can be concluded that the classification ability of participants in animal biosystematic learning is good with the medium category, this can support in making numerical taxonomy.

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Ermolov, S. A. "APPROACHES TO ECOLOGICAL CLASSIFICATION OF EARTHWORMS: A REVIEW." Forest Science Issues 5, no. 1 (March 29, 2022): 1–28. http://dx.doi.org/10.31509/2658-607x-202251-101.

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Earthworms as critical components of natural communities have traditionally attracted the attention of researchers from various fields of biology and agriculture. From the observations of ancient times and up to our time, the research of earthworms has kept its relevance. One of the most interesting tasks has been the creation of an ecological classification of earthworms and its subsequent use. The purpose of this review is to consider various approaches to identifying ecological groups of earthworms (Oligochaeta, Lumbricidae) and the application of these approaches in scientific research. The article reviews the main types of Russian and world ecological classifications of earthworms and some recent additions to these classifications. Particular attention is paid to scientific research with different approaches to the study of ecological groups of earthworms.

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WANG, JING-DOO. "COMPARING VIRUS CLASSIFICATION USING GENOMIC MATERIALS ACCORDING TO DIFFERENT TAXONOMIC LEVELS." Journal of Bioinformatics and Computational Biology 11, no. 06 (December 2013): 1343003. http://dx.doi.org/10.1142/s0219720013430038.

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In this paper, three genomic materials — DNA sequences, protein sequences, and regions (domains) are used to compare methods of virus classification. Virus classes (categories) are divided by various taxonomic level of virus into three datasets for 6 order, 42 family, and 33 genera. To increase the robustness and comparability of experimental results of virus classification, the classes are selected that contain at least 10 instances, and meanwhile each instance contains at least one region name. Experimental results show that the approach using region names achieved the best accuracies — reaching 99.9%, 97.3%, and 99.0% for 6 orders, 42 families, and 33 genera, respectively. This paper not only involves exhaustive experiments that compare virus classifications using different genomic materials, but also proposes a novel approach to biological classification based on molecular biology instead of traditional morphology.

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Tuinier, S., and W. M. A. Verhoeven. "Biology of personality disorders." Acta Neuropsychiatrica 7, no. 4 (December 1995): 127–31. http://dx.doi.org/10.1017/s0924270800037339.

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SummarySince the introduction of international psychiatric classification systems, systematic diagnostic methods have become available for personality disorders. Recent developments in the dimensional diagnostic approach of personality disorders have yielded relationships between this type of disorders and neurobiological processes including both monoaminergic and stress-hormonal systems. It is hypothesized that the pathogenesis of borderline personality disorders is related to an enhanced serotonergic tone in septo-hippocampal structures. Preliminary clinical data are suggestive for potential therapeutic effects of serotonin-modulating compounds in borderline personality disorders

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44

Kinch, Lisa N., Yuan Qi, Tim J. P. Hubbard, and Nick V. Grishin. "CASP5 target classification." Proteins: Structure, Function, and Genetics 53, S6 (2003): 340–51. http://dx.doi.org/10.1002/prot.10555.

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Kinch, Lisa N., Shuoyong Shi, Hua Cheng, Qian Cong, Jimin Pei, Valerio Mariani, Torsten Schwede, and Nick V. Grishin. "CASP9 target classification." Proteins: Structure, Function, and Bioinformatics 79, S10 (2011): 21–36. http://dx.doi.org/10.1002/prot.23190.

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46

Maskour, Lhoussaine, Anouar Alami, Moncef Zaki, and Boujemaa Agorram. "Plant Classification Knowledge and Misconceptions among University Students in Morocco." Education Sciences 9, no. 1 (March 3, 2019): 48. http://dx.doi.org/10.3390/educsci9010048.

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This study aims to assess learning outcomes and identify students’ misconceptions in plant classification. We conducted a questionnaire survey with undergraduate and master’s students. The qualitative analysis of the students’ responses made it possible to shed light on the difficulties of assimilation of many notions and also to identify the different misconceptions constructed during their learning courses about plant organisms. The findings indicate that some students are not motivated to take the course on plant classification. This demotivation is reinforced further by students’ perceptions of plant classification, especially that it is not important and not useful for learning other biology specialities. The findings also show that more than half of the students who participated in this study consider plant systematics a difficult subject. We also note that some of the students surveyed seem not to have acquired many concepts of plant biology including concepts related to the biology, reproduction and evolution of plants. Thanks to this, we could see different types of problems in plant classification, which constitute misconceptions hindering learning. Initial training in plant biology does not appear to have a significant effect in modifying students’ misconceptions related to plant classification.

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Klepka, Verônica, and Maria Julia Corazza. "O essencialismo na classificação de Lineu e a repercussão dessa controvérsia na Biologia." História da Ciência e Ensino: construindo interfaces 18 (November 28, 2018): 73–110. http://dx.doi.org/10.23925/2178-2911.2018v18p73-110.

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ResumoNos últimos dois séculos, Lineu e toda taxonomia tradicional têm sido acusados de exercerem uma prática essencialista, pautada na descrição de tipos. Ernest Mayr foi um dos que contribuíram para disseminar essas ideias que passaram a ser consideradas como verdades na Biologia. Entretanto, nas últimas duas décadas, historiadores e filósofos da Biologia contestaram esse argumento oferecendo novas análises que corrigem o anacronismo efetuado na história das classificações biológicas. Neste artigo, nosso objetivo é argumentar, com o auxílio de obras originais de Lineu e fontes secundárias provenientes de estudiosos da vida e do trabalho do sueco, bem como de historiadores e filósofos da Biologia, por que a classificação biológica lineana não é fundamentada no essencialismo platônico ou aristotélico. Observamos que as obras e o contexto de Lineu foram mal interpretados, que suas influências na ciência eram totalmente contrárias à lógica escolástica e que, apesar de usar termos como essência, gênero e espécie em suas obras, não há qualquer relação com a lógica aristotélica. Palavras-chave: Carl von Linné; Classificação dos Seres Vivos; História da Ciência. AbstractIn the last two centuries, Linnaeus and all traditional taxonomy has been accused of exercising an essentialist practice, based on the description of types. Ernst Mayr was one of those who contributed to disseminate these ideas that came to be considered as truths in Biology. However, in the last two decades historians and philosophers of biology have contested this argument by offering new analyzes that correct the anachronism in the history of biological classifications. In this article, our objective is to argue, with the help of original works by Linnaeus and secondary sources from scholars of the life and work of the Swedish, as well as historians and philosophers of Biology, because the linear biological classification is not based on essentialism Platonic or Aristotelian. We note that Linnaeus' works and context were misinterpreted, that his influences on science were wholly contrary to scholastic logic, and that in spite of using terms like essence, genus, and species in his works, he had no connection with Aristotelian logic. Keywords: Carl von Linné; Classification of Living Beings; History of Science.

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Shon, D. Judy, Angel Kuo, Michael J. Ferracane, and Stacy A. Malaker. "Classification, structural biology, and applications of mucin domain-targeting proteases." Biochemical Journal 478, no. 8 (April 28, 2021): 1585–603. http://dx.doi.org/10.1042/bcj20200607.

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Epithelial surfaces throughout the body are coated by mucins, a class of proteins carrying domains characterized by a high density of O-glycosylated serine and threonine residues. The resulting mucosal layers form crucial host-microbe interfaces that prevent the translocation of microbes while also selecting for distinct bacteria via the presented glycan repertoire. The intricate interplay between mucus production and breakdown thus determines the composition of the microbiota maintained within these mucosal environments, which can have a large influence on the host during both homeostasis and disease. Most research to date on mucus breakdown has focused on glycosidases that trim glycan structures to release monosaccharides as a source of nutrients. More recent work has uncovered the existence of mucin-type O-glycosylation-dependent proteases that are secreted by pathogens, commensals, and mutualists to facilitate mucosal colonization and penetration. Additionally, immunoglobulin A (IgA) proteases promote bacterial colonization in the presence of neutralizing secretory IgA through selective cleavage of the heavily O-glycosylated hinge region. In this review, we summarize families of O-glycoproteases and IgA proteases, discuss known structural features, and review applications of these enzymes to glycobiology.

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Moghaddam, Mostafa Ghafouri, Diana Carolina Arias-Penna, and Minoo Heidari Latibari. "Book review: Ichneumonid wasps (Hymenoptera, Ichneumonidae): their classification and biology." Journal of Hymenoptera Research 89 (February 28, 2022): 245–47. http://dx.doi.org/10.3897/jhr.89.81731.

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Fuoco, Domenico. "Classification Framework and Chemical Biology of Tetracycline-Structure-Based Drugs." Antibiotics 1, no. 1 (June 12, 2012): 1–13. http://dx.doi.org/10.3390/antibiotics1010001.

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