5,458 research outputs found
Chapter 5: A guide for understanding and creating polygenic risk scores - Appendix Resources
No full textGitHub link for resources highlighted in Chapter 5 (authors: Fazil Aliev, Sally I-Chun Kuo, Danielle M. Dick). Link will be updated as needed and applicable
A Digital Twin Framework for Industry 4.0/5.0 Technologies
No full textIndustry 4.0 Paradigm unleashed tremendous opportunities to boost economical and societal transitions for the business and improved living standards of society, while Industry 5.0 is extending previous technological breakthrough in steering transformation, stimulating industry and society to be human-centric, sustainable, resilient, and green. Digital Twins, in turn, play a key role as enabler in such transformation. Heterogeneity of manufacturing technologies imposes specific challenges in developing and adopting Digital Twins. The main goal of this paper is to propose, assess and justify a robust and open framework of Digital Twins for manufacturing technologies, such as collaborative and mobile robots, as well as subtractive manufacturing machines. A framework eventually can be used by SME, while also in Educational and Research Institutions
Enhancing Industrial Mobile Manipulators Through Cognitive Digital Twins
No full textThe paper discusses the design and implementation of a cognitive digital twin (CDT) to enhance the capabilities of autonomous industrial mobile manipulator (AIMM) in industrial settings. The integration of data in CDT facilitates enhanced positioning, even in the presence of obstacles, and optimized recharging schedules. The use of external sensors significantly improves the robot’s accuracy. The implementation of ML models facilitates intelligent planning of charging stops and minimizing downtime. This enhancement is achieved by creating a virtual representation of the physical system that incorporates cognitive capabilities, such as reasoning, learning, and planning. The study demonstrates the potential of CDTs to serve as advanced tools for decision-making, optimization, and predictive maintenance in industrial settings. The results also highlight the challenges in developing CDTs, particularly the need for high fidelity in replicating the physical system and the environment
Investigation on Additive Manufacturing Processes Performed by Collaborative Robot
No full textThe additive manufacturing (AM) applications using collaborative robots (cobot) are rapidly increasing in the manufacturing field. The integration of AM with a cobot abilities can help prototyping and manufacturing custom-made parts in a more efficient way. This paper relies on manufacturing cell that combines a fused deposition modeling (FDM) extruder with a 6-axis cobot controlled by IoT edge computing devices. The production processes are designed in a robot simulation software, where digital twin (DT) of the manufacturing cell is available. Direct and reverse communication between the simulation software and the physical manufacturing cell allows for implementing the real industrial cases. The manufacturing cell has been tested to demonstrate the viability of replacing traditional 3D printers in the industrial sector while taking advantage of working in a complex and dynamic environment. According to this approach this paper promotes the enlargement of the set of robot-abilities by adding additive manufacturing capabilities
Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems
No full textThe ecosystem of the Industry 4.0 involves many new technologies, such as autonomous mobile robots (AMR) and cobots (collaborative robots), these are characterized with higher flexibility and cost effectiveness which makes them more suitable for automated internal logistics systems. The evaluation of energy consumption of AMRs for a designed path in a real case scenario using analytical tools are challenging. This paper proposes a method of evaluation of the sustainability of new technologies of Industry 4.0 in internal logistics. The proposed framework demonstrates data management technique of the industrial robots. Since, the AMR with manipulator perform different tasks as a single system in logistics there is big demand to develop model of cyber physical system. During task execution measured robots' physical parameters used as input data to perform analytics. Moreover, acquired data from different condition use cases have been used to monitor the battery behaviour of the AMR and preliminary results of the linear regression model is presented
Search for a heavy top-quark partner in final states with two leptons with the ATLAS detector at the LHC
No full textContains fulltext :
103720.pdf (Publisher’s version ) (Open Access
Health Science Community Will Miss This Bright and Uniting Star: In Memory of Professor Gjumrakch Aliev, M.D, Ph.D.
No full textIt is with deep sadness that we offer our memorial on the unexpected demise of our dear colleague, Professor Gjumrakch Aliev [...]
Cryodamage of the vessel wall accelerates the development of atherosclerotic lesions in arterial vessels of Watanabe hyperlipidemic rabbits
No full textIn the present study we developed an experimental model, resembling human atherosclerosis, by removing the endothelial layer in Watanabe heritable hyperlipidemic (WHHL) rabbits (10 months old) by application of cryodamage on the external surface of arterial vessels. In age-matched New Zealand white (NZW) rabbits, used as control, after two months following cryodamage, carotid artery and infrarenal segments of abdominal aorta did not show any particular change in the ultrastructure of vessel wall. In WHHL rabbits, two months after cryodamage, atherosclerotic lesions (fatty streaks and fibrous plaques) were observed in both arteries. Many lipid-laden endothelial cells, subendothelial foam cells and smooth muscle cells were found in cryodamaged areas. In some areas, the cap of plaques appeared to be thinned and ruptured. Increased number of collagen and elastic fibrils was also observed in atherosclerotic regions. We conclude that this simple technique on WHHL rabbits provides a model of atherosclerosis with a high degree of morphological similarity between the artificially-induced plaque and human atherosclerotic plaque
Finding maximal torsion cosets on varieties
No full textWe describe a new algorithm for finding all maximal torsion cosets on varieties over \G_m^n. We illustrate the algorithm with some examples.The starting point for this study is the search for points on a given variety whose coordinates are roots of unity. Sometimes these points are isolated, butoften they are part of larger families of such points, called torsion cosets.(These are in fact elements of finite order in some quotient group of \G_m^n.)Of greatest interest are maximal torsion cosets, contained in no larger one.The number of maximal torsion cosets on a variety is known to be finite, and it of interest to find upper bounds for the number of these, in terms of the dimension and the total degree of the variety. We summarise what is known about such bounds
Low frequency noise due to magnetic inhomogeneities in submicron FeCoB/MgO/FeCoB magnetic tunnel junctions
No full textHerranz D, Gomez-Ibarlucea A, Schäfers M, Lara A, Reiss G, Aliev FG. Low frequency noise due to magnetic inhomogeneities in submicron FeCoB/MgO/FeCoB magnetic tunnel junctions. Applied Physics Letters. 2011;99(6): 62511.We report on room temperature low frequency noise due to magnetic inhomogeneities/domain walls (MI/DWs) in elliptic submicron FeCoB/MgO/FeCoB magnetic tunnel junctions with an area between 0.0245 and 0.0675 mu m(2). In the smaller area junctions we found an unexpected random telegraph noise (RTN1), deeply in the parallel state, possibly due to stray field induced MI/DWs in the hard layer. The second noise source (RTN2) is observed in the antiparallel state for the largest junctions. Strong asymmetry of RTN2 and of related resistance steps with current indicate spin torque acting on the MI/DWs in the soft layer at current densities below 5 x 10(5) A/cm(2). (C) 2011 American Institute of Physics. [doi:10.1063/1.3615798
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