scholarly journals BioHackathon 2015: Semantics of data for life sciences and reproducible research

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 136
Author(s):  
Rutger A. Vos ◽  
Toshiaki Katayama ◽  
Hiroyuki Mishima ◽  
Shin Kawano ◽  
Shuichi Kawashima ◽  
...  
Keyword(s):  
Research And Development ◽  
State Of The Art ◽  
Life Sciences ◽  
Biological Data ◽  
Reproducible Research ◽  
Future Research ◽  
Biomedical Data ◽  
Data Types ◽  
Wide Range ◽  
The World

We report on the activities of the 2015 edition of the BioHackathon, an annual event that brings together researchers and developers from around the world to develop tools and technologies that promote the reusability of biological data. We discuss issues surrounding the representation, publication, integration, mining and reuse of biological data and metadata across a wide range of biomedical data types of relevance for the life sciences, including chemistry, genotypes and phenotypes, orthology and phylogeny, proteomics, genomics, glycomics, and metabolomics. We describe our progress to address ongoing challenges to the reusability and reproducibility of research results, and identify outstanding issues that continue to impede the progress of bioinformatics research. We share our perspective on the state of the art, continued challenges, and goals for future research and development for the life sciences Semantic Web.

Semantic Information Retrieval on Medical Texts

2022 ◽  
Vol 54 (7) ◽  
pp. 1-38
Author(s):  
Lynda Tamine ◽  
Lorraine Goeuriot
Keyword(s):  
Information Retrieval ◽  
Health Informatics ◽  
Medical Information ◽  
State Of The Art ◽  
Lessons Learned ◽  
Semantic Search ◽  
Future Research ◽  
Cross Model ◽  
Wide Range ◽  
Search Systems

The explosive growth and widespread accessibility of medical information on the Internet have led to a surge of research activity in a wide range of scientific communities including health informatics and information retrieval (IR). One of the common concerns of this research, across these disciplines, is how to design either clinical decision support systems or medical search engines capable of providing adequate support for both novices (e.g., patients and their next-of-kin) and experts (e.g., physicians, clinicians) tackling complex tasks (e.g., search for diagnosis, search for a treatment). However, despite the significant multi-disciplinary research advances, current medical search systems exhibit low levels of performance. This survey provides an overview of the state of the art in the disciplines of IR and health informatics, and bridging these disciplines shows how semantic search techniques can facilitate medical IR. First,we will give a broad picture of semantic search and medical IR and then highlight the major scientific challenges. Second, focusing on the semantic gap challenge, we will discuss representative state-of-the-art work related to feature-based as well as semantic-based representation and matching models that support medical search systems. In addition to seminal works, we will present recent works that rely on research advancements in deep learning. Third, we make a thorough cross-model analysis and provide some findings and lessons learned. Finally, we discuss some open issues and possible promising directions for future research trends.

Security Solutions for Intelligent and Complex Systems

2020 ◽  
pp. 1232-1271
Author(s):  
Stuart Armstrong ◽  
Roman V. Yampolskiy
Keyword(s):  
Complex Systems ◽  
Research And Development ◽  
Social Engineering ◽  
Great Power ◽  
Future Research ◽  
Negative Effects ◽  
Safety Issues ◽  
The World ◽  
Particular Solution ◽  
Definition Of

Superintelligent systems are likely to present serious safety issues, since such entities would have great power to control the future according to their possibly misaligned goals or motivation systems. Oracle AIs (OAI) are confined AIs that can only answer questions and do not act in the world, represent one particular solution to this problem. However even Oracles are not particularly safe: humans are still vulnerable to traps, social engineering, or simply becoming dependent on the OAI. But OAIs are still strictly safer than general AIs, and there are many extra layers of precautions we can add on top of these. This paper begins with the definition of the OAI Confinement Problem. After analysis of existing solutions and their shortcomings, a protocol is proposed aimed at making a more secure confinement environment which might delay negative effects from a potentially unfriendly superintelligence while allowing for future research and development of superintelligent systems.

Economic Sanctions in Flux: Enduring Challenges, New Policies, and Defining the Future Research Agenda

2020 ◽  
Vol 21 (4) ◽  
pp. 438-477
Author(s):  
Bryan R Early ◽  
Menevis Cilizoglu
Keyword(s):  
Research Agenda ◽  
State Of The Art ◽  
Economic Sanctions ◽  
Future Research ◽  
Factors Affecting ◽  
The Past ◽  
Future Research Agenda ◽  
Policy Tool ◽  
Wide Range ◽  
New Policies

Abstract Policymakers employ economic sanctions to deal with a wide range of international challenges, making them an indispensable foreign policy tool. While scholarship on sanctions has tended to focus on the factors affecting their success, newer research programs have emerged that explore the reasons for why sanctions are threatened and initiated, the ways they are designed and enforced, and their consequences. This scholarship has yielded a wealth of new insights into how economic sanctions work, but most of those insights are based on sanctions observations from the 20th Century. The ways that policymakers employ sanctions have fundamentally changed over the past two decades, though, raising concerns about whether historically derived insights are still relevant to contemporary sanctions policies. In this forum, the contributors discuss the scholarly and policy-relevant insights of existing research on sanctions and then explore what gaps remain in our knowledge and new trends in sanctions policymaking. This forum will inform readers on the state of the art in sanctions research and propose avenues for future research.

scholarly journals Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery

2018 ◽  
Vol 10 (12) ◽  
pp. 1987 ◽  
Author(s):  
Rocío Ramos-Bernal ◽  
René Vázquez-Jiménez ◽  
Raúl Romero-Calcerrada ◽  
Patricia Arrogante-Funes ◽  
Carlos Novillo
Keyword(s):  
Change Detection ◽  
Vegetation Index ◽  
Thermal Emission ◽  
Principal Component ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Data Types ◽  
Statistical Parameters ◽  
Wide Range ◽  
The World

Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world. Remote sensing provides many data types and techniques that can be applied to monitor their effects through landslides inventory maps. Three unsupervised change detection methods were applied to the Advanced Spaceborne Thermal Emission and Reflection Radiometer (Aster)-derived images from an area prone to landslides in the south of Mexico. Linear Regression (LR), Chi-Square Transformation, and Change Vector Analysis were applied to the principal component and the Normalized Difference Vegetation Index (NDVI) data to obtain the difference image of change. The thresholding was performed on the change histogram using two approaches: the statistical parameters and the secant method. According to previous works, a slope mask was used to classify the pixels as landslide/No-landslide; a cloud mask was used to eliminate false positives; and finally, those landslides less than 450 m2 (two Aster pixels) were discriminated. To assess the landslide detection accuracy, 617 polygons (35,017 pixels) were sampled, classified as real landslide/No-landslide, and defined as ground-truth according to the interpretation of color aerial photo slides to obtain omission/commission errors and Kappa coefficient of agreement. The results showed that the LR using NDVI data performs the best results in landslide detection. Change detection is a suitable technique that can be applied for the landslides mapping and we think that it can be replicated in other parts of the world with results similar to those obtained in the present work.

scholarly journals Why Beliefs About Emotion Matter: An Emotion-Regulation Perspective

2018 ◽  
Vol 28 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Brett Q. Ford ◽  
James J. Gross
Keyword(s):  
Emotion Regulation ◽  
Clinical Outcomes ◽  
Underlying Mechanism ◽  
Future Research ◽  
Wide Range ◽  
The World ◽  
Emotion Beliefs

The world is complicated, and we hold a large number of beliefs about how it works. These beliefs are important because they shape how we interact with the world. One particularly impactful set of beliefs centers on emotion, and a small but growing literature has begun to document the links between emotion beliefs and a wide range of emotional, interpersonal, and clinical outcomes. Here, we review the literature that has begun to examine beliefs about emotion, focusing on two fundamental beliefs, namely whether emotions are good or bad and whether emotions are controllable or uncontrollable. We then consider one underlying mechanism that we think may link these emotion beliefs with downstream outcomes, namely emotion regulation. Finally, we highlight the role of beliefs about emotion across various psychological disciplines and outline several promising directions for future research.

Durability of Concrete Structure Research and Development Direction

2010 ◽  
Vol 44-47 ◽  
pp. 2346-2353
Author(s):  
Lei Jiang ◽  
Ji Tao Yao ◽  
Ren Xin ◽  
Wei Li
Keyword(s):  
Research And Development ◽  
Concrete Structure ◽  
International Research ◽  
Concrete Structures ◽  
Future Research ◽  
Development Direction ◽  
The World ◽  
Four Levels ◽  
Structure Research ◽  
Durability Of Concrete

Currently, durability of concrete structures is a hot area of civil engineering. This paper reviews the background to the study of concrete and the current international research developments. Recent accomplishments in the world are summarized on four levels—environment, materials, components, structure. Finally, directions of future research are also proposed.

scholarly journals High-Performance Emerging Solid-State Memory Technologies

MRS Bulletin ◽  
2004 ◽  
Vol 29 (11) ◽  
pp. 805-813 ◽  
Author(s):  
Herb Goronkin ◽  
Yang Yang
Keyword(s):  
Solid State ◽  
Research And Development ◽  
High Performance ◽  
New Technologies ◽  
State Of The Art ◽  
Electronic Equipment ◽  
Private Industry ◽  
Development Stages ◽  
The World ◽  
And Storage

AbstractThis article introduces the November 2004 issue of MRS Bulletin on the state of the art in solid-state memory and storage technologies.The memory business drives hundreds of billions of dollars in sales of electronic equipment per year. The incentive for continuing on the historical track outlined by Moore's law is huge, and this challenge is driving considerable investment from governments around the world as well as in private industry and universities. The problem is this: recognizing that current approaches to semiconductor-based memory are limited, what new technologies can be introduced to continue or even accelerate the pace of complexity? The articles in this issue highlight several commercially available memories, as well as memory technologies that are still in the research and development stages. What will become apparent to the reader is the huge diversity of approaches to this problem.

scholarly journals A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction

2021 ◽  
Vol 11 (6) ◽  
pp. 7824-7835
Author(s):  
H. Alalawi ◽  
M. Alsuwat ◽  
H. Alhakami
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Future Research ◽  
Classification Algorithms ◽  
Classification Methods ◽  
Research Directions ◽  
The World ◽  
Modern Methods ◽  
Future Research Directions ◽  
Class Labels

The importance of classification algorithms has increased in recent years. Classification is a branch of supervised learning with the goal of predicting class labels categorical of new cases. Additionally, with Coronavirus (COVID-19) propagation since 2019, the world still faces a great challenge in defeating COVID-19 even with modern methods and technologies. This paper gives an overview of classification algorithms to provide the readers with an understanding of the concept of the state-of-the-art classification algorithms and their applications used in the COVID-19 diagnosis and detection. It also describes some of the research published on classification algorithms, the existing gaps in the research, and future research directions. This article encourages both academics and machine learning learners to further strengthen the basis of classification methods.

scholarly journals Cybersecurity of Microgrid: State-of-the-Art Review and Possible Directions of Future Research

2021 ◽  
Vol 11 (21) ◽  
pp. 9812
Author(s):  
Norziana Jamil ◽  
Qais Saif Qassim ◽  
Farah Aqilah Bohani ◽  
Muhamad Mansor ◽  
Vigna Kumaran Ramachandaramurthy
Keyword(s):  
Critical Infrastructure ◽  
State Of The Art ◽  
Advanced Technology ◽  
Future Research ◽  
Electrical System ◽  
Comprehensive Review ◽  
Electrical Systems ◽  
Wide Range ◽  
Future Work ◽  
The Impact

The infrastructure of and processes involved in a microgrid electrical system require advanced technology to facilitate connection among its various components in order to provide the intelligence and automation that can benefit users. As a consequence, the microgrid has vulnerabilities that can expose it to a wide range of attacks. If they are not adequately addressed, these vulnerabilities may have a destructive impact on a country’s critical infrastructure and economy. While the impact of exploiting vulnerabilities in them is understood, research on the cybersecurity of microgrids is inadequate. This paper provides a comprehensive review of microgrid cybersecurity. In particular, it (1) reviews the state-of-the-art microgrid electrical systems, communication protocols, standards, and vulnerabilities while highlighting prevalent solutions to cybersecurity-related issues in them; (2) provides recommendations to enhance the security of these systems by segregating layers of the microgrid, and (3) identifies the gap in research in the area, and suggests directions for future work to enhance the cybersecurity of microgrids.

scholarly journals Craniodental morphology and phylogeny of marsupials

2021 ◽  
Author(s):  
Robin M. D. Beck ◽  
Robert Voss ◽  
Sharon Jansa
Keyword(s):  
Phylogenetic Analysis ◽  
Dna Sequences ◽  
Morphological Characters ◽  
Molecular Data ◽  
Morphological Data ◽  
Future Research ◽  
Data Types ◽  
Wide Range ◽  
Morphological And Molecular Data ◽  
Dense Sampling

The current literature on marsupial phylogenetics includes numerous studies based on analyses of morphological data with relatively limited sampling of Recent and fossil taxa, and many studies based on analyses of molecular data that include a dense sampling of Recent taxa, but relatively few that combine both data types. Another dichotomy in the marsupial phylogenetic literature is between studies that focus on New World taxa, others that focus on Sahulian taxa. To date, there has been no attempt to assess the phylogenetic relationships of the global marsupial fauna, based on combined analyses of morphology and molecular sequences, for a dense sampling of Recent and fossil taxa. For this report, we compiled morphological and molecular data from an unprecedented number of Recent and fossil marsupials. Our morphological data consist of 180 craniodental characters that we scored for 97 species representing every currently recognized Recent genus, 42 additional ingroup (crown-clade marsupial) taxa represented by well-preserved fossils, and 5 outgroups (non-marsupial metatherians). Our molecular data comprise 24.5 kb of DNA sequences from whole-mitochondrial genomes and six nuclear loci (APOB, BRCA1, GHR, RAG1, RBP3 and VWF) for 97 marsupial terminals (the same Recent taxa scored for craniodental morphology) and several placental and monotreme outgroups. The results of separate and combined analyses of these data using a wide range of phylogenetic methods support many currently accepted hypotheses of ingroup (marsupial) relationships, but they also underscore the difficulty of placing fossils with key missing data (e.g., †Evolestes), and the unique difficulty of placing others that exhibit mosaics of plesiomorphic and autapomorphic traits (e.g., †Yalkaparidon). Unique contributions of our study are (1) critical discussions and illustrations of marsupial craniodental morphology, including descriptions and illustrations of some features never previously coded for phylogenetic analysis; (2) critical assessments of relative support for many suprageneric clades; (3) estimates of divergence times derived from tip-and-node dating based on uniquely taxon-dense analyses; and (4) a revised, higher-order classification of marsupials accompanied by lists of supporting craniodental synapomorphies. Far from the last word on these topics, this report lays the foundation for future research that may be enabled by the discovery of new fossil taxa, better-preserved material of previously described taxa, novel morphological characters, and improved methods of phylogenetic analysis.

Sign in / Sign up

Export Citation Format

Share Document