scholarly journals Bringing a Semantic MediaWiki Flora to Life

2018 ◽  
Vol 2 ◽  
pp. e25885 ◽  
Author(s):  
Jocelyn Pender ◽  
Joel L. Sachs ◽  
James Macklin ◽  
Hong Cui ◽  
Andru Vallance ◽  
...  
Keyword(s):  
Language Processing ◽  
Data Linkage ◽  
Current Status ◽  
Biodiversity Data ◽  
The Past ◽  
Biodiversity Knowledge ◽  
Modern Natural ◽  
Taxonomic Groups ◽  
Semantic Mediawiki ◽  
Ongoing Project

The existing web representation of the Flora of North America (FNA) project needs improvement. Despite being electronically available, it has little more functionality than its printed counterpart. Over the past few years, our team has been working diligently to build a new more effective online presence for the FNA. The main objective is to capitalize on modern Natural Language Processing (NLP) tools built for biodiversity data (Explorer of Taxon Concepts or ETC; Cui et al. 2016), and present the FNA online in both machine and human readable formats. With machine-comprehensible data, the mobilization and usability of flora treatments is enhanced and capabilities for data linkage to a Biodiversity Knowledge Graph (Page 2016) are enabled. For example, usability of treatments increases when morphological statements are parsed into finely grained pieces of data using ETC, because these data can be easily traversed across taxonomic groups to reveal trends. Additionally, the development of new features in our online FNA is facilitated by FNA data parsing and processing in ETC, including a feature to enable users to explore all treatments and illustrations generated by an author of interest. The current status of the ongoing project to develop a Semantic MediaWiki (SMW) platform for the FNA is presented here. New features recently implemented are introduced, challenges in assembling the Semantic MediaWiki are discussed, and future opportunities, which include the integration of additional floras and data sources, are explored. Furthermore, implications of standardization of taxonomic treatments, which work such as this entails, will be discussed.

Advances In Asthma Care

2003 ◽  
Vol 1 (1) ◽  
pp. 87-90 ◽  
Author(s):  
Chris Garvey
Keyword(s):  
Healthcare Costs ◽  
Professional Organizations ◽  
Current Status ◽  
Asthma Care ◽  
Advanced Level ◽  
Clinical Criteria ◽  
Asthma Knowledge ◽  
The Past ◽  
The Us ◽  
Examination Process

Asthma rates in the US have risen during the past 25 years, as have asthma-related morbidity and healthcare costs. Professional organizations involved in asthma care have identified the need to assure that an advanced level of asthma knowledge and skill is available to patients with asthma, their families, and insurers. This need led to development of the certification for asthma educators. The Certified Asthma Educator (AE-C) must meet specific clinical criteria and pass a standardized examination designed to evaluate knowledge and skill for providing competent asthma education and coordination. The development and current status of the Certified Asthma Educator examination process and content are discussed, as are goals of the certification

Five Years and Count(er)ing: Memoir after Memoir

CounterText ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 26-32
Author(s):  
Norbert Bugeja
Keyword(s):  
Guest Editor ◽  
Arab Countries ◽  
National Museum ◽  
Terror Attack ◽  
Special Issue ◽  
The Past ◽  
Personal Perspectives ◽  
The Moment ◽  
Ongoing Project

In this retrospective piece, the Guest Editor of the first number of CounterText (a special issue titled Postcolonial Springs) looks back at the past five years from various scholarly and personal perspectives. He places particular focus on an event that took place mid-way between the 2011 uprisings across a number of Arab countries and the moment of writing: the March 2015 terror attack on the Bardo National Museum in Tunis, which killed twenty-two people and had a profound effect on Tunisian popular consciousness and that of the post-2011 Arab nations. In this context, the author argues for a renewed perspective on memoir as at once a memorial practice and a political gesture in writing, one that exceeds concerns of genre and form to encompass an ongoing project of political re-cognition following events that continue to remap the agenda for the region. The piece makes a brief final pitch for Europe's need to re-cognise, within those modes of ‘articulacy-in-difficulty’ active on its southern borders, specific answers to its own present quandaries.

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

2020 ◽  
Author(s):  
Vadim V. Korolev ◽  
Artem Mitrofanov ◽  
Kirill Karpov ◽  
Valery Tkachenko
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Natural Science ◽  
Therapeutic Agent ◽  
Semantic Relations ◽  
Chemical Data ◽  
Processing Methods ◽  
Modern Natural

The main advantage of modern natural language processing methods is a possibility to turn an amorphous human-readable task into a strict mathematic form. That allows to extract chemical data and insights from articles and to find new semantic relations. We propose a universal engine for processing chemical and biological texts. We successfully tested it on various use-cases and applied to a case of searching a therapeutic agent for a COVID-19 disease by analyzing PubMed archive.

Water resources management in Greece: current status and prospective outlook

1995 ◽  
Vol 32 (9-10) ◽  
pp. 267-272 ◽  
Author(s):  
A. Angelakis ◽  
E. Diamadopoulos
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Demand ◽  
Treatment Plant ◽  
Current Status ◽  
Reclaimed Wastewater ◽  
Resources Management ◽  
The Past ◽  
Precipitation Water ◽  
Pollution Loads

The basic aim of this paper is to present the existing conditions and problems of water resources management in Greece. Water demand has increased tremendously over the past 30 years. Despite adequate precipitation, water imbalance is often experienced, due to temporal and regional variations of the precipitation, the increased water demand during the summer months and the difficulty of transporting water due to the mountainous terrain. Integration of reclaimed wastewater originating from the wastewater treatment plant effluents into the water resources management is proposed. This plan exhibits the potential for reducing the pollution loads entering sea or inland waters, while at the same time providing water for irrigation.

Upcoming Drifts In Bio-Similars

2020 ◽  
Vol 15 ◽  
Author(s):  
Geeta Aggarwal ◽  
Manju Nagpal ◽  
Ameya Sharma ◽  
Vivek Puri ◽  
Gitika Arora Dhingra
Keyword(s):  
Metabolic Diseases ◽  
Market Competition ◽  
Current Status ◽  
Medicinal Products ◽  
The Past ◽  
Biologic Activity ◽  
Emerging Trends ◽  
Regulatory Guidelines ◽  
Food Drug Administration ◽  
Insight Into

Background: Biopharmaceuticals such as Biologic medicinal products have been in clinical use over the past three decades and have benefited towards the therapy of degenerative and critical metabolic diseases. It is forecasted that market of biologics will be going to increase at a rate of 20% per year, and by 2025, more than ˃ 50% of new drug approvals may be biological products. The increasing utilization of the biologics necessitates for cost control, especially for innovators products that have enjoyed a lengthy period of exclusive use. As the first wave of biopharmaceuticals is expired or set to expire, it has led to various opportunities for the expansion of bio-similars i.e. copied versions of original biologics with same biologic activity. Development of biosimilars is expected to promote market competition, meet worldwide demand, sustain the healthcare systems and maintain the incentives for innovation. Methods: Appraisal of published articles from peer reviewed journals, PubMed literature, latest news and guidelines from European Medicine Agency, US Food Drug Administration (FDA) and India are used to identify data for review. Results: Main insight into the quality requirements concerning biologics, current status of regulation of biosimilars and upcoming challenges lying ahead for the upgrading of marketing authorization of bio-similars has been incorporated. Compiled literature on therapeutic status, regulatory guidelines and the emerging trends and opportunities of biosimilars has been thoroughly stated. Conclusion: Updates on biosimilars will support to investigate the possible impact of bio-similars on healthcare market.

scholarly journals Teaching Science in Today’s Society: The Case of Particle Physics for Primary Schools

Universe ◽  
2021 ◽  
Vol 7 (6) ◽  
pp. 169
Author(s):  
Cristina Lazzeroni ◽  
Sandra Malvezzi ◽  
Andrea Quadri
Keyword(s):  
Particle Physics ◽  
Primary Schools ◽  
Scientific Information ◽  
Decision Makers ◽  
Educational Institutions ◽  
The Public ◽  
The Past ◽  
Rapid Changes ◽  
The Subject ◽  
Ongoing Project

The rapid changes in science and technology witnessed in recent decades have significantly contributed to the arousal of the awareness by decision-makers and the public as a whole of the need to strengthen the connection between outreach activities of universities and research institutes and the activities of educational institutions, with a central role played by schools. While the relevance of the problem is nowadays unquestioned, no unique and fully satisfactory solution has been identified. In the present paper we would like to contribute to the discussion on the subject by reporting on an ongoing project aimed to teach Particle Physics in primary schools. We will start from the past and currently planned activities in this project in order to establish a broader framework to describe the conditions for the fruitful interplay between researchers and teachers. We will also emphasize some aspects related to the dissemination of outreach materials by research institutions, in order to promote the access and distribution of scientific information in a way suited to the different age of the target students.

Machine learning for rediscovering revolutionary ideas of the past

2021 ◽  
pp. 105971232098304
Author(s):  
R Alexander Bentley ◽  
Joshua Borycz ◽  
Simon Carrignon ◽  
Damian J Ruck ◽  
Michael J O’Brien
Keyword(s):  
Language Processing ◽  
Scientific Progress ◽  
Phylogenetic Inference ◽  
The Past ◽  
New Methods ◽  
Inherent Nature ◽  
Social Learning Processes ◽  
High Level ◽  
Scientific Ideas ◽  
Revolutionary Science

The explosion of online knowledge has made knowledge, paradoxically, difficult to find. A web or journal search might retrieve thousands of articles, ranked in a manner that is biased by, for example, popularity or eigenvalue centrality rather than by informed relevance to the complex query. With hundreds of thousands of articles published each year, the dense, tangled thicket of knowledge grows even more entwined. Although natural language processing and new methods of generating knowledge graphs can extract increasingly high-level interpretations from research articles, the results are inevitably biased toward recent, popular, and/or prestigious sources. This is a result of the inherent nature of human social-learning processes. To preserve and even rediscover lost scientific ideas, we employ the theory that scientific progress is punctuated by means of inspired, revolutionary ideas at the origin of new paradigms. Using a brief case example, we suggest how phylogenetic inference might be used to rediscover potentially useful lost discoveries, as a way in which machines could help drive revolutionary science.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

scholarly journals Research Trends of Acupuncture Therapy on Cancer Over the Past Two Decades: A Bibliometric Analysis

2020 ◽  
Vol 19 ◽  
pp. 153473542095944
Author(s):  
Jing Guo ◽  
Lixia Pei ◽  
Lu Chen ◽  
Hao Chen ◽  
Dongmei Gu ◽  
...  
Keyword(s):  
Neuropathic Pain ◽  
Acupuncture Therapy ◽  
Supportive Care ◽  
Bibliometric Analysis ◽  
Integrative Medicine ◽  
Clinical Studies ◽  
Current Status ◽  
Cancer Center ◽  
Future Research ◽  
The Past

Purpose: Acupuncture has been used for managing cancer-related symptoms. However, there are still few studies concerning the overall trends in acupuncture therapy on cancer based on bibliometric analysis. This study aims to demonstrate the current status and trends in this field over the past 2 decades. Methods: Articles were retrieved from the Web of Science from 2000 to 2019. CiteSpace was used for co-authorship network of countries/institutions, dual-map analysis, and detecting the keywords with citation bursts. VOSviewer was used to construct networks based on co-authorship and co-citation analysis of authors, and co-occurrence of keywords. Results: A total of 927 articles and reviews were included in the final analysis. The number of publications has steadily increased with some fluctuations among years. The country and institution contributing most to this field are the USA and Memorial Sloan Kettering Cancer Center. Mao JJ was the most productive author and Molassiotis A ranked first in the cited authors. The co-occurrence analysis revealed 5 clusters (including “clinical trials,” “clinical studies on chemotherapy/radiation-induced symptoms,” “CAM therapy for cancer,” “clinical studies on vasomotor symptoms,” and “systematic reviews”). Most recent keyword bursts were “neuropathic pain,” “arthralgia,” “prevention,” “supportive care,” and “integrative medicine”. Conclusions: The annual publication output would increase rapidly in the next decade, which shows a promising future in this research field. Future research hotspots would focus on the role of acupuncture in neuropathic pain, arthralgia, prevention, supportive care, and integrative medicine.

scholarly journals What is the prospect of indoleamine 2,3-dioxygenase 1 inhibition in cancer? Extrapolation from the past

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Yu Yao ◽  
Heng Liang ◽  
Xin Fang ◽  
Shengnan Zhang ◽  
Zikang Xing ◽  
...  
Keyword(s):  
Predictive Biomarkers ◽  
Kynurenine Pathway ◽  
Phase Iii ◽  
Current Status ◽  
The Past ◽  
Indoleamine 2,3 Dioxygenase ◽  
Negative Results ◽  
Rate Limiting Step ◽  
Pharmacodynamic Markers ◽  
Tumor Types

AbstractIndoleamine 2,3-dioxygenase 1 (IDO1), a monomeric heme-containing enzyme, catalyzes the first and rate-limiting step in the kynurenine pathway of tryptophan metabolism, which plays an important role in immunity and neuronal function. Its implication in different pathophysiologic processes including cancer and neurodegenerative diseases has inspired the development of IDO1 inhibitors in the past decades. However, the negative results of the phase III clinical trial of the would-be first-in-class IDO1 inhibitor (epacadostat) in combination with an anti-PD1 antibody (pembrolizumab) in patients with advanced malignant melanoma call for a better understanding of the role of IDO1 inhibition. In this review, the current status of the clinical development of IDO1 inhibitors will be introduced and the key pre-clinical and clinical data of epacadostat will be summarized. Moreover, based on the cautionary notes obtained from the clinical readout of epacadostat, strategies for the identification of reliable predictive biomarkers and pharmacodynamic markers as well as for the selection of the tumor types to be treated with IDO1inhibitors will be discussed.

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