scholarly journals Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

2020 ◽  
Vol 34 (05) ◽  
pp. 8775-8782
Author(s):  
Claudia Schulz ◽  
Damir Juric

A large number of embeddings trained on medical data have emerged, but it remains unclear how well they represent medical terminology, in particular whether the close relationship of semantically similar medical terms is encoded in these embeddings. To date, only small datasets for testing medical term similarity are available, not allowing to draw conclusions about the generalisability of embeddings to the enormous amount of medical terms used by doctors. We present multiple automatically created large-scale medical term similarity datasets and confirm their high quality in an annotation study with doctors. We evaluate state-of-the-art word and contextual embeddings on our new datasets, comparing multiple vector similarity metrics and word vector aggregation techniques. Our results show that current embeddings are limited in their ability to adequately encode medical terms. The novel datasets thus form a challenging new benchmark for the development of medical embeddings able to accurately represent the whole medical terminology.

2010 ◽  
Vol 60 (2) ◽  
pp. 331-337 ◽  
Author(s):  
Lorena C. Garcia ◽  
Eustoquio Martínez-Molina ◽  
Martha E. Trujillo

A novel actinomycete, designated strain GUI 15T, isolated from the root nodules of a Pisum sativum plant was characterized taxonomically by using a polyphasic approach. The 16S rRNA gene sequence of strain GUI 15T showed highest similarity to Micromonospora pattaloongensis TJ2-2T (98.7 %) and Polymorphospora rubra TT 97-42T (98.5 %). Phylogenetic analysis based on the gyrase B gene also supported the close relationship of these three strains, but indicated that strain GUI 15T should be assigned to the genus Micromonospora. Chemotaxonomic results confirmed the position of the isolate in the genus Micromonospora, but revealed differences at the species level. The novel strain could be distinguished from recognized Micromonospora species by using a combination of physiological and biochemical tests. Based on these observations, strain GUI 15T is considered to represent a novel species of the genus Micromonospora, for which the name Micromonospora pisi sp. nov. is proposed. The type strain is GUI 15T (=DSM 45175T=LMG 24546T).


2017 ◽  
Vol 16 (05) ◽  
pp. R02 ◽  
Author(s):  
Erik Stengler

Shroeder Sorensen analyses in depth the close relationship of the TV-series Cosmos [1980] with the popular culture, in its broadest sense, at the time of its release. The novel application of Fantasy-Theme analysis to the rhetorical vision of the series reveals how it is the product of a very careful and successful design. The book also compares the original series with its 2014 reboot Cosmos: A Spacetime Odyssey [2014].


2019 ◽  
Author(s):  
Mingguang Chen ◽  
Wangxiang Li ◽  
Anshuman Kumar ◽  
Guanghui Li ◽  
Mikhail Itkis ◽  
...  

<p>Interconnecting the surfaces of nanomaterials without compromising their outstanding mechanical, thermal, and electronic properties is critical in the design of advanced bulk structures that still preserve the novel properties of their nanoscale constituents. As such, bridging the p-conjugated carbon surfaces of single-walled carbon nanotubes (SWNTs) has special implications in next-generation electronics. This study presents a rational path towards improvement of the electrical transport in aligned semiconducting SWNT films by deposition of metal atoms. The formation of conducting Cr-mediated pathways between the parallel SWNTs increases the transverse (intertube) conductance, while having negligible effect on the parallel (intratube) transport. In contrast, doping with Li has a predominant effect on the intratube electrical transport of aligned SWNT films. Large-scale first-principles calculations of electrical transport on aligned SWNTs show good agreement with the experimental electrical measurements and provide insight into the changes that different metal atoms exert on the density of states near the Fermi level of the SWNTs and the formation of transport channels. </p>


2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio &amp; Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.


2015 ◽  
Vol 2 ◽  
pp. 110-121
Author(s):  
María Shcherbakova

В течение последних нескольких десятилетий проблемы терминологии привлекли внимание многих исследователей и ученых, что может объясняться растущей важностью науки в жизни людей. Развитие медицинской терминологии началось много веков назад и продолжается по сей день. Основная цель этой работы заключается в рассмотрении терминологического глоссария сердечно-сосудистой системы, созданного на основе  Nomina Anatomical 2001 года, а также в комплексном анализе перевода специализированной терминологии. Наряду с разработкой испано-русского двуязычного глоссария, мы также обратили внимание на анализ собранных данных и комментарии, которые могут предотвратить ошибки и путаницу среди переводчиков и получателей переведенной информации. Для достижения целей мы прибегли к методу анализа параллельных текстов на выбранную тему в испанском и русском языках, а также к методу визуализации, что позволило нам перевести термины из списка и гарантировать высокий уровень точности, объективности, корректности, эквивалентности и адекватности. Основной гипотезой данной статьи является то, что, несмотря на греческое и латинское происхождение большинства выбранных терминов на испанском и значительной их части в русском языке, дословный перевод представляет собой наиболее серьезную и наиболее распространенную ошибку, которую совершают переводчики медицинских текстов, что объясняется особенностями развития медицинских систем в русском и испанском языках, где каждая отрасль терминологии сосредоточилась на своих собственных эволюционных принципах.Resumen: En las últimas décadas, los problemas de la terminología han llamado la atención de muchos investigadores y científicos, lo cual se explica por la creciente importancia que adquiere la ciencia en la vida de las personas. La terminología médica empezó su formación hace siglos y sigue desarrollándose hasta el momento. El objetivo de nuestro trabajo es dar cuenta de la creación de un glosario de la terminología del sistema cardiovascular basada en la Nómina Anatómica del año 2001 y un análisis exhaustivo de la traducción de términos realizada. Además de la elaboración de un glosario bilingüe español-ruso también nos hemos centrado en el análisis de datos recogidos y comentarios que pueden prevenir errores y confusiones para los traductores y otros destinatarios. Para conseguir los objetivos propuestos hemos optado principalmente por el método de análisis de textos paralelos acerca del tema elegido en español y en ruso, así como el de la metodología de visualización, lo que nos ha permitido traducir los términos de la lista representada garantizando el máximo nivel de fidelidad, objetividad, precisión, equivalencia y adecuación. La hipótesis principal del presente artículo consiste en que, a pesar del origen griego y latín de la mayoría de los términos seleccionados en castellano y una gran parte de los términos en ruso, la traducción literal de éstos representa el error más grave y más frecuente de los traductores de los textos médicos ya que debido a las peculiaridades del desarrollo de los sistemas de lenguajes médicos en español y en ruso, la terminología de cada idioma ha seguido sus propias pautas de evolución.Abstract: During the last few decades the problems of terminology have caught the attention of many researchers and scientists which can be explained by the growing importance of science in the lives of people. Medical terminology formation began centuries ago and keeps developing nowadays. The main objective of this paper is to discuss the terminological glossary of the cardiovascular system created based on the Nomina Anatomical 2001 as well as the comprehensive analysis of specialized terminology translation. Apart from the development of the Spanish-Russian bilingual glossary, I have also focused on the analysis of data collected and comments that can prevent errors and confusion among translators and recipients of the translated information. To achieve the objectives the method of analysis of parallel texts on the subject chosen has been used in Spanish and in Russian, as well as that of visualization, which allowed us to translate the terms from the list and guarantee the highest level of fidelity, objectivity, accuracy, equivalence and adequacy. The main hypothesis of this article is that, despite the Greek and Latin origin of most of the terms selected in Spanish and a large part of the terms in Russian, their literal translation represents the most serious and most common mistake that translators in healthcare setting make due to the peculiarities of the development of medical systems in Spanish and Russian languages, where each language terminology has followed its own guidelines of evolution.  


Author(s):  
Cristina Vatulescu

This chapter approaches police records as a genre that gains from being considered in its relationships with other genres of writing. In particular, we will follow its long-standing relationship to detective fiction, the novel, and biography. Going further, the chapter emphasizes the intermedia character of police records not just in our time but also throughout their existence, indeed from their very origins. This approach opens to a more inclusive media history of police files. We will start with an analysis of the seminal late nineteenth-century French manuals prescribing the writing of a police file, the famous Bertillon-method manuals. We will then track their influence following their adoption nationally and internationally, with particular attention to the politics of their adoption in the colonies. We will also touch briefly on the relationship of early policing to other disciplines, such as anthropology and statistics, before moving to a closer look at its intersections with photography and literature.


IoT ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 140-162
Author(s):  
Hung Nguyen-An ◽  
Thomas Silverston ◽  
Taku Yamazaki ◽  
Takumi Miyoshi

We now use the Internet of things (IoT) in our everyday lives. The novel IoT devices collect cyber–physical data and provide information on the environment. Hence, IoT traffic will count for a major part of Internet traffic; however, its impact on the network is still widely unknown. IoT devices are prone to cyberattacks because of constrained resources or misconfigurations. It is essential to characterize IoT traffic and identify each device to monitor the IoT network and discriminate among legitimate and anomalous IoT traffic. In this study, we deployed a smart-home testbed comprising several IoT devices to study IoT traffic. We performed extensive measurement experiments using a novel IoT traffic generator tool called IoTTGen. This tool can generate traffic from multiple devices, emulating large-scale scenarios with different devices under different network conditions. We analyzed the IoT traffic properties by computing the entropy value of traffic parameters and visually observing the traffic on behavior shape graphs. We propose a new method for identifying traffic entropy-based devices, computing the entropy values of traffic features. The method relies on machine learning to classify the traffic. The proposed method succeeded in identifying devices with a performance accuracy up to 94% and is robust with unpredictable network behavior with traffic anomalies spreading in the network.


Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 126
Author(s):  
Hai-Feng Ling ◽  
Zheng-Lian Su ◽  
Xun-Lin Jiang ◽  
Yu-Jun Zheng

In a large-scale epidemic, such as the novel coronavirus pneumonia (COVID-19), there is huge demand for a variety of medical supplies, such as medical masks, ventilators, and sickbeds. Resources from civilian medical services are often not sufficient for fully satisfying all of these demands. Resources from military medical services, which are normally reserved for military use, can be an effective supplement to these demands. In this paper, we formulate a problem of integrated civilian-military scheduling of medical supplies for epidemic prevention and control, the aim of which is to simultaneously maximize the overall satisfaction rate of the medical supplies and minimize the total scheduling cost, while keeping a minimum ratio of medical supplies reservation for military use. We propose a multi-objective water wave optimization (WWO) algorithm in order to efficiently solve this problem. Computational results on a set of problem instances constructed based on real COVID-19 data demonstrate the effectiveness of the proposed method.


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