Results 101 to 110 of about 150,456 (276)

Searching and Indexing Genomic Databases via Kernelization

Frontiers in Bioengineering and Biotechnology, 2015
The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes.
Travis eGagie, Simon ePuglisi
doaj   +1 more source

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC‐STM of Adsorbate–Substrate Superstructures

Advanced Materials Interfaces, EarlyView.
Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków, Paulina Wira, Anna Futyma, Radosław Wasielewski, Tomasz Kosmala   +4 more
wiley   +1 more source

Topological Point Defects in SmC* Liquid Crystals Under Mechanical Disturbance

Advanced Materials Interfaces, EarlyView.
Tangetial air jet shear inducess island formation and nucleates topological point defects in uniform SmC films. Island bounded by edge dislocation loops shrink and transform into isolated point defects under continued shear. Mechanical perturbatio provides a controllable route for defect engineering in smectric liquid crystal thin films.
Gunganist Kongklad, Vandana Molahalli, Apichart Pattanaporkratana, Nattaporn Chattham   +3 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Strong Plasmon–Exciton Coupling Tuned by Corner Etching of Gold Nanocubes and Nanotriangles

Advanced Optical Materials, EarlyView.
Systematic etching of gold nanocubes (AuNCs) and nanotriangles (AuNTs) reveals how nanoparticle morphology governs plasmon–exciton strong coupling. While rounding the corners of AuNCs weakens their coupling, triangular geometries robustly preserve deep strong coupling.
Jiyeon Lee, Seoyoung Hwang, Yoon‐Min Lee, Jeong‐Eun Park, Sangwoon Yoon   +4 more
wiley   +1 more source

Multilevel Optical Programming of Intrinsic Vacancies in Solution‐Processed MoS2 Films for Retinomorphic Color Differentiation

Advanced Optical Materials, EarlyView.
Solution‐processed MoS2 films with intrinsic sulfur‐vacancy traps are used to integrate light sensing and memory in a simple two‐terminal pixel. Successive optical pulses program persistent, multilevel conductance states, while oxygen exposure enables rapid erasure.
Jihyun Kim, Jiyong Yoon, Gwang Ya Kim, Kijeong Nam, Jaewon Heo, In Soo Kim, Dongjoon Rhee, Donghee Son, Joohoon Kang   +8 more
wiley   +1 more source

The Parameterized Complexity of Positional Games [PDF]

, 2017
To appear in the Proceedings of the 44th International Colloquium on Automata, Languages, and Programming (ICALP 2017)
Bonnet, Edouard, Gaspers, Serge, Lambilliotte, Antonin, Rümmele, Stefan, Saffidine, Abdallah   +4 more
openaire   +5 more sources

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

RNA inverse folding can be solved in linear time for structures without isolated stacks or base pairs

Algorithms for Molecular Biology
Inverse folding is a classic instance of negative RNA design which consists in finding a sequence that uniquely folds into a target secondary structure with respect to energy minimization. A breakthrough result of Bonnet et al. shows that, even in simple
Théo Boury, Samuel Gardelle, Laurent Bulteau, Yann Ponty   +3 more
doaj   +1 more source

On the Fine-grained Parameterized Complexity of Partial Scheduling to Minimize the Makespan. [PDF]

Algorithmica, 2022
Nederlof J, Swennenhuis CMF.
europepmc   +1 more source