scholarly journals Synthetic Biology Research and Innovation Profile 2018: Publications and Patents

2018 ◽  
Author(s):  
Philip Shapira ◽  
Seokbeom Kwon
Keyword(s):  
Synthetic Biology ◽  
Search Algorithm ◽  
Special Collections ◽  
Research And Innovation ◽  
Basic Patent ◽  
Using Data ◽  
The Uk ◽  
Search Approach ◽  
Tree Search Algorithm ◽  
Biology Research

A profile of synthetic biology research and innovation is presented using data on publications and patents worldwide and for the UK and selected benchmark countries. The search approach used to identify synthetic biology publications identifies a core set of synthetic biology papers, extracts and refines keywords from these core records, searches for additional papers using those keywords, and supplements with articles published in dedicated synthetic biology journals and curated synthetic biology special collections. For the period from 2000 through to mid-July 2018, 11,369 synthetic biology publication records are identified worldwide. For patents, the search approach uses the same keywords as for publications then identifies further patents using a citation-tree search algorithm. The search covered patents by priority year from 2003 to early August 2018. Following geographical matching, 8,460 synthetic biology basic patent records were identified worldwide. Using this data, analyses of publications are presented which look at the growth of synthetic biology outputs, top countries and leading organizations, international co-authoring, leading subject categories, citations, synthetic biology on the map of science, and funding sponsorship. For patents, the analysis examines growth in patenting, national variations in publications compared with patenting, leading patent assignees, and the positioning of synthetic biology on a visualized map of patents.

FEATURES

2014 ◽  
Vol 18 (05) ◽  
pp. 25-43
Keyword(s):  
Synthetic Biology ◽  
The Uk ◽  
Biology Research

China's Synthetic Biology Research. Synthetic Biology in Japan. Synthetic Biology in Singapore. The UK Synthetic Biology Scene.

scholarly journals Science and Technology Studies in Policy: The UK Synthetic Biology Roadmap

2019 ◽  
Vol 45 (1) ◽  
pp. 34-61 ◽  
Author(s):  
Claire Marris ◽  
Jane Calvert
Keyword(s):  
Synthetic Biology ◽  
Science And Technology Studies ◽  
Science And Technology ◽  
Final Report ◽  
Technology Studies ◽  
Research And Innovation ◽  
Economic Progress ◽  
Uncertain Future ◽  
The Uk ◽  
Responsible Research

In this paper, we reflect on our experience as science and technology studies (STS) researchers who were members of the working group that produced A Synthetic Biology Roadmap for the UK in 2012. We explore how this initiative sought to govern an uncertain future and describe how it was successfully used to mobilize public funds for synthetic biology from the UK government. We discuss our attempts to incorporate the insights and sensibilities of STS into the policy process and why we chose to use the concept of responsible research and innovation to do so. We analyze how the roadmapping process, and the final report, narrowed and transformed our contributions to the roadmap. We show how difficult it is for STS researchers to influence policy when our ideas challenge deeply entrenched pervasive assumptions, framings, and narratives about how technological innovation necessarily leads to economic progress, about public reticence as a roadblock to that progress, and about the supposed separation between science and society. We end by reflecting on the constraints under which we were operating from the outset and on the challenges for STS in policy.

scholarly journals Incorporation of Potential Fields and Motion Primitives for the Collision Avoidance of Unmanned Aircraft

2021 ◽  
Vol 11 (7) ◽  
pp. 3103
Author(s):  
Kyuman Lee ◽  
Daegyun Choi ◽  
Donghoon Kim
Keyword(s):  
Collision Avoidance ◽  
Search Algorithm ◽  
Unmanned Aircraft ◽  
Artificial Potential Field ◽  
Tree Search ◽  
Local Minima ◽  
Collision Risk ◽  
Motion Primitives ◽  
Multiple Uavs ◽  
Tree Search Algorithm

Collision avoidance (CA) using the artificial potential field (APF) usually faces several known issues such as local minima and dynamically infeasible problems, so unmanned aerial vehicles’ (UAVs) paths planned based on the APF are safe only in a certain environment. This research proposes a CA approach that combines the APF and motion primitives (MPs) to tackle the known problems associated with the APF. Since MPs solve for a locally optimal trajectory with respect to allocated time, the trajectory obtained by the MPs is verified as dynamically feasible. When a collision checker based on the k-d tree search algorithm detects collision risk on extracted sample points from the planned trajectory, generating re-planned path candidates to avoid obstacles is performed. After rejecting unsafe route candidates, one applies the APF to select the best route among the remaining safe-path candidates. To validate the proposed approach, we simulated two meaningful scenario cases—the presence of static obstacles situation with local minima and dynamic environments with multiple UAVs present. The simulation results show that the proposed approach provides smooth, efficient, and dynamically feasible pathing compared to the APF.

scholarly journals Rapid, remote and responsive research during COVID-19

2021 ◽  
Vol 14 (1) ◽  
pp. 205979912110085
Author(s):  
Jane Richardson ◽  
Barry Godfrey ◽  
Sandra Walklate
Keyword(s):  
Criminal Justice ◽  
Social Science ◽  
Health Research ◽  
Applied Research ◽  
Data Gathering ◽  
Policy And Practice ◽  
Research And Innovation ◽  
The Uk ◽  
Practical Recommendations

In March 2020, the UK Research and Innovation announced an emergency call for research to inform policy and practice responses to the COVID-19 pandemic. This call implicitly and explicitly required researchers to work rapidly, remotely and responsively. In this article, we briefly review how rapid response methods developed in health research can be used in other social science fields. After outlining the literature in this area, we use the early stages of our applied research into criminal justice responses to domestic abuse during COVID-19 as a case study to illustrate some of the practical challenges we faced in responding to this rapid funding call. We review our use of and experience with remote research methods and describe how we used and adapted these methods in our research, from data gathering through to transcription and analysis. We reflect on our experiences to date of what it means to be responsive in fast-changing research situations. Finally, we make some practical recommendations for conducting applied research in a ‘nimble’ way to meet the demands of working rapidly, remotely, responsively and, most importantly, responsibly.

scholarly journals A Modified Niching Crow Search Approach to Well Placement Optimization

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 857
Author(s):  
Jahedul Islam ◽  
Md Shokor A. Rahaman ◽  
Pandian M. Vasant ◽  
Berihun Mamo Negash ◽  
Ahshanul Hoqe ◽  
...  
Keyword(s):  
Optimization Problem ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Multimodal Optimization ◽  
Test Functions ◽  
Well Placement ◽  
Suggested Approach ◽  
Placement Optimization ◽  
Well Placement Optimization ◽  
Search Approach

Well placement optimization is considered a non-convex and highly multimodal optimization problem. In this article, a modified crow search algorithm is proposed to tackle the well placement optimization problem. This article proposes modifications based on local search and niching techniques in the crow search algorithm (CSA). At first, the suggested approach is verified by experimenting with the benchmark functions. For test functions, the results of the proposed approach demonstrated a higher convergence rate and a better solution. Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). The outcomes of the study revealed that the niching crow search algorithm is the most efficient and effective compared to the other techniques.

scholarly journals Enhanced Reinforcement Learning Method Combining One-Hot Encoding-Based Vectors for CNN-Based Alternative High-Level Decisions

2021 ◽  
Vol 11 (3) ◽  
pp. 1291
Author(s):  
Bonwoo Gu ◽  
Yunsick Sung
Keyword(s):  
Reinforcement Learning ◽  
Search Algorithm ◽  
Classification Criteria ◽  
Tree Search ◽  
Learning Method ◽  
Board Game ◽  
Ancient China ◽  
Monte Carlo Tree Search ◽  
High Level ◽  
Tree Search Algorithm

Gomoku is a two-player board game that originated in ancient China. There are various cases of developing Gomoku using artificial intelligence, such as a genetic algorithm and a tree search algorithm. Alpha-Gomoku, Gomoku AI built with Alpha-Go’s algorithm, defines all possible situations in the Gomoku board using Monte-Carlo tree search (MCTS), and minimizes the probability of learning other correct answers in the duplicated Gomoku board situation. However, in the tree search algorithm, the accuracy drops, because the classification criteria are manually set. In this paper, we propose an improved reinforcement learning-based high-level decision approach using convolutional neural networks (CNN). The proposed algorithm expresses each state as One-Hot Encoding based vectors and determines the state of the Gomoku board by combining the similar state of One-Hot Encoding based vectors. Thus, in a case where a stone that is determined by CNN has already been placed or cannot be placed, we suggest a method for selecting an alternative. We verify the proposed method of Gomoku AI in GuPyEngine, a Python-based 3D simulation platform.

scholarly journals Validation of the BATT score for prehospital risk stratification of traumatic haemorrhagic death: usefulness for tranexamic acid treatment criteria

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Francois-Xavier Ageron ◽  
Timothy J. Coats ◽  
Vincent Darioli ◽  
Ian Roberts
Keyword(s):  
Tranexamic Acid ◽  
Acid Treatment ◽  
Injury Severity ◽  
External Validation ◽  
Research Network ◽  
Brier Score ◽  
Trauma Patients ◽  
Using Data ◽  
The Uk ◽  
The Impact

Abstract Background Tranexamic acid reduces surgical blood loss and reduces deaths from bleeding in trauma patients. Tranexamic acid must be given urgently, preferably by paramedics at the scene of the injury or in the ambulance. We developed a simple score (Bleeding Audit Triage Trauma score) to predict death from bleeding. Methods We conducted an external validation of the BATT score using data from the UK Trauma Audit Research Network (TARN) from 1st January 2017 to 31st December 2018. We evaluated the impact of tranexamic acid treatment thresholds in trauma patients. Results We included 104,862 trauma patients with an injury severity score of 9 or above. Tranexamic acid was administered to 9915 (9%) patients. Of these 5185 (52%) received prehospital tranexamic acid. The BATT score had good accuracy (Brier score = 6%) and good discrimination (C-statistic 0.90; 95% CI 0.89–0.91). Calibration in the large showed no substantial difference between predicted and observed death due to bleeding (1.15% versus 1.16%, P = 0.81). Pre-hospital tranexamic acid treatment of trauma patients with a BATT score of 2 or more would avoid 210 bleeding deaths by treating 61,598 patients instead of avoiding 55 deaths by treating 9915 as currently. Conclusion The BATT score identifies trauma patient at risk of significant haemorrhage. A score of 2 or more would be an appropriate threshold for pre-hospital tranexamic acid treatment.

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