Why did they change that? Practical implications of the evolving classification of neuroendocrine tumours of the gastrointestinal tract

2020 ◽  
Vol 78 (1) ◽  
pp. 162-170
Author(s):  
Anthony J Gill
Keyword(s):  
Gastrointestinal Tract ◽  
Neuroendocrine Tumours ◽  
Practical Implications

scholarly journals A surrogate-based generic classifier for Chinese TV series reviews

2017 ◽  
Vol 45 (2) ◽  
pp. 66-74
Author(s):  
Yufeng Ma ◽  
Long Xia ◽  
Wenqi Shen ◽  
Mi Zhou ◽  
Weiguo Fan
Keyword(s):  
Design Methodology ◽  
Experimental Result ◽  
Digital Information ◽  
Data Set ◽  
Content Type ◽  
Category Labels ◽  
Information Supply Chain ◽  
Feature Selection Techniques ◽  
Practical Implications

Purpose The purpose of this paper is automatic classification of TV series reviews based on generic categories. Design/methodology/approach What the authors mainly applied is using surrogate instead of specific roles or actors’ name in reviews to make reviews more generic. Besides, feature selection techniques and different kinds of classifiers are incorporated. Findings With roles’ and actors’ names replaced by generic tags, the experimental result showed that it can generalize well to agnostic TV series as compared with reviews keeping the original names. Research limitations/implications The model presented in this paper must be built on top of an already existed knowledge base like Baidu Encyclopedia. Such database takes lots of work. Practical implications Like in digital information supply chain, if reviews are part of the information to be transported or exchanged, then the model presented in this paper can help automatically identify individual review according to different requirements and help the information sharing. Originality/value One originality is that the authors proposed the surrogate-based approach to make reviews more generic. Besides, they also built a review data set of hot Chinese TV series, which includes eight generic category labels for each review.

Classification of diseases of the gastrointestinal tract in the practice of a family doctor

2021 ◽  
pp. 8-13
Author(s):  
Aleksey Borisovich Petrukhin
Keyword(s):  
Gastrointestinal Tract ◽  
Digestive System ◽  
Family Doctor ◽  
The Body ◽  
Internal Organs ◽  
Important Place ◽  
High Prevalence ◽  
Classification Of Diseases ◽  
Diagnosis Of Diseases

Gastroenterology belongs to one of the leading branches of therapy. In the structure of diseases of the internal organs, diseases of the digestive system occupy a particularly important place due to their high prevalence, which increases with age. As a rule, these diseases have a chronic, progressive, recurrent course, which ultimately leads to severe disorders of the activity of many organs and systems of the body. The article presents the basic requirements for the formation of a clinical diagnosis of diseases of the gastrointestinal tract, which are most common in the practice of a family doctor.

A specific antibody to detect transcription factor T-Pit: a reliable marker of corticotroph cell differentiation and a tool to improve the classification of pituitary neuroendocrine tumours

2017 ◽  
Vol 134 (4) ◽  
pp. 675-677 ◽  
Author(s):  
Evelina Sjöstedt ◽  
Jens Bollerslev ◽  
Jan Mulder ◽  
Cecilia Lindskog ◽  
Fredrik Pontén ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Cell Differentiation ◽  
Specific Antibody ◽  
Neuroendocrine Tumours ◽  
Reliable Marker

Detecting sarcasm in customer tweets: an NLP based approach

2017 ◽  
Vol 117 (6) ◽  
pp. 1109-1126 ◽  
Author(s):  
Shubhadeep Mukherjee ◽  
Pradip Kumar Bala
Keyword(s):  
Language Processing ◽  
Social Issues ◽  
Customer Management ◽  
Function Words ◽  
Content Type ◽  
Management Perspective ◽  
Supervised Learning Algorithms ◽  
Practical Implications ◽  
Incorrect Classification

Purpose The purpose of this paper is to study sarcasm in online text – specifically on twitter – to better understand customer opinions about social issues, products, services, etc. This can be immensely helpful in reducing incorrect classification of consumer sentiment toward issues, products and services. Design/methodology/approach In this study, 5,000 tweets were downloaded and analyzed. Relevant features were extracted and supervised learning algorithms were applied to identify the best differentiating features between a sarcastic and non-sarcastic sentence. Findings The results using two different classification algorithms, namely, Naïve Bayes and maximum entropy show that function words and content words together are most effective in identifying sarcasm in tweets. The most differentiating features between a sarcastic and a non-sarcastic tweet were identified. Practical implications Understanding the use of sarcasm in tweets let companies do better sentiment analysis and product recommendations for users. This could help businesses attract new customers and retain the old ones resulting in better customer management. Originality/value This paper uses novel features to identify sarcasm in online text which is one of the most challenging problems in natural language processing. To the authors’ knowledge, this is the first study on sarcasm detection from a customer management perspective.

New insights into the classification of gastric neuroendocrine tumours, expanding the spectrum of ECL‐cell tumours related to hypergastrinaemia

2020 ◽  
Vol 77 (6) ◽  
pp. 862-864
Author(s):  
Stefano La Rosa ◽  
Enrico Solcia
Keyword(s):  
Neuroendocrine Tumours ◽  
Ecl Cell

Practical Implications of the 2016 Revision of the World Health Organization Classification of Lymphoid and Myeloid Neoplasms and Acute Leukemia

2017 ◽  
Vol 35 (23) ◽  
pp. 2708-2715 ◽  
Author(s):  
John P. Leonard ◽  
Peter Martin ◽  
Gail J. Roboz
Keyword(s):  
Acute Leukemia ◽  
Clinical Trial Design ◽  
Daily Practice ◽  
World Health ◽  
Myeloid Neoplasms ◽  
New Information ◽  
Health Organization ◽  
Key Aspects ◽  
Practical Implications

A major revision of the WHO classification of lymphoid and myeloid neoplasms and acute leukemia was released in 2016. A key motivation for this update was to include new information available since the 2008 version with clinical relevance for the diagnosis, prognosis, and therapy of patients. With > 100 entities described, it is important for the clinician to understand features that may be important in daily practice, whereas researchers need to incorporate the new classification scheme into study development and analysis. In this review, we highlight the key aspects of the 2016 update with particular importance to routine patient care and clinical trial design.

Supply chain resilience: a systematic literature review and typological framework

2018 ◽  
Vol 48 (8) ◽  
pp. 842-865 ◽  
Author(s):  
Cigdem Gonul Kochan ◽  
David R. Nowicki
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Future Research ◽  
Exploratory Research ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Assessment Techniques ◽  
Practical Implications

PurposeThe study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.Design/methodology/approachThe paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.FindingsThe findings of this study outline the gaps in the SCRES literature and present an agenda for future research.Research limitations/implicationsThis paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.Practical implicationsThe typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.Originality/valueThe paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

scholarly journals Substantiating a technique to process hard rock involving extraction of valuable components and use of wastes to form mesorelief

2019 ◽  
Vol 109 ◽  
pp. 00003
Author(s):  
Kateryna Babii ◽  
Oleksandr Ikol ◽  
Yevhenii Malieiev
Keyword(s):  
Rock Mass ◽  
Hard Rock ◽  
Industrial Product ◽  
Power Dependence ◽  
Landscape Restoration ◽  
Hard Rocks ◽  
Mineral Losses ◽  
Scientific Value ◽  
Practical Implications

A technique to process rock mass from hard-rock technogenic media has been developed; it is aimed at recovery of mineral losses, restoration of the environment at the territory of mining enterprises by means of rock mass extraction, its processing and redistribution for the purposes of land recultivation and landscape restoration. Classification of dry ore-containing hard rocks of dumps has been developed; that has made it possible to improve technological scheme of the processing of rock mass from technogenic media, emphasize its variants of use, and specify the required facilities and their productivity. Scientific value of the paper is in determining the effect of changes in the losses in pre-processing dry wastes upon the yield of industrial product and wastes; the effect has demonstrated that the yield of industrial product is in polynomial dependence upon the pre-processing losses while yield of tailings is in the power dependence. Practical implications of the paper are in the fact that the proposed method helps form mesorelief with the properties close to the natural one. The method involves restoration of the initial landscape with the help of opening hard rocks followed, completed by laying water-bearing and potentially fertile layers.

Developing a domain ontology for knowledge management technologies

2018 ◽  
Vol 42 (1) ◽  
pp. 28-44 ◽  
Author(s):  
Parvin Hashemi ◽  
Ameneh Khadivar ◽  
Mehdi Shamizanjani
Keyword(s):  
Knowledge Management ◽  
Formal Ontology ◽  
Content Type ◽  
Web Environment ◽  
Km Strategy ◽  
The Many ◽  
Common Understanding ◽  
Taxonomic Relations ◽  
Practical Implications

Purpose The purpose of this paper is to develop a new ontology for knowledge management (KM) technologies, determining the relationships between these technologies and classification of them. Design/methodology/approach The study applies NOY methodology – named after Natalya F. Noy who initiated this methodology. Protégé software and ontology web language are used for building the ontology. The presented ontology is evaluated with abbreviation and consistency criteria and knowledge retrieval of KM technologies by experts. Findings All the main concepts in the scope of KM technologies are extracted from existing literature. There are 241 words, 49 out of them are domain concepts, eight terms are about taxonomic and non-taxonomic relations, one term relates to data property and 183 terms are instances. These terms are used to develop KM technologies’ ontology based on three factors: facilitating KM processes, supporting KM strategies and the position of technology in the KM technology stage model. The presented ontology is created a common understanding in the field of KM technologies. Research limitations/implications Lack of specific documentary about logic behind decision making and prioritizing criteria in choosing KM technologies. Practical implications Uploading the presented ontology in the web environment provides a platform for knowledge sharing between experts from around the world. In addition, it helps to decide on the choice of KM technologies based on KM processes and KM strategy. Originality/value Among the many categories of KM technologies in literature, there is no classifying according to several criteria simultaneously. This paper contributes to filling this gap and considers KM processes, KM strategy and stages of growth for KM technologies simultaneously to choice the KM technologies and also there exists no formal ontology regarding KM technologies. This study has tried to propose a formal KM technologies’ ontology.

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