Zobrazeno 1 - 10
of 5 737
pro vyhledávání: '"Berent A"'
Autor:
Phanidhar Kukutla, Sherif G. Ahmed, Daniel M. DuBreuil, Ahmed Abdelnabi, Murat Cetinbas, Giulia Fulci, Berent Aldikacti, Anat Stemmer‐Rachamimov, Scott R. Plotkin, Brian Wainger, Ruslan I. Sadreyev, Gary J. Brenner
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 8, Iss 7, Pp 1508-1514 (2021)
Abstract Schwannomas are benign neoplasms that can cause gain‐ and loss‐of‐function neurological phenotypes, including severe, intractable pain. To investigate the molecular mechanisms underlying schwannoma‐associated pain we compared the RNA
Externí odkaz:
https://doaj.org/article/0c6960b73fb246928249556f72c49f88
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 3, p e1009273 (2022)
The understanding of bacterial gene function has been greatly enhanced by recent advancements in the deep sequencing of microbial genomes. Transposon insertion sequencing methods combines next-generation sequencing techniques with transposon mutagene
Externí odkaz:
https://doaj.org/article/62eb5e3090604adcb422522af5ac6b6e
A central ingredient in fault-tolerant quantum algorithms is the initialization of a logical state for a given quantum error-correcting code from a set of noisy qubits. A scheme that has demonstrated promising results for small code instances that ar
Externí odkaz:
http://arxiv.org/abs/2408.11894
Autor:
Hillmann, Timo, Berent, Lucas, Quintavalle, Armanda O., Eisert, Jens, Wille, Robert, Roffe, Joschka
Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to their impl
Externí odkaz:
http://arxiv.org/abs/2406.18655
Autor:
Wille, Robert, Berent, Lucas, Forster, Tobias, Kunasaikaran, Jagatheesan, Mato, Kevin, Peham, Tom, Quetschlich, Nils, Rovara, Damian, Sander, Aaron, Schmid, Ludwig, Schönberger, Daniel, Stade, Yannick, Burgholzer, Lukas
Quantum computers are becoming a reality and numerous quantum computing applications with a near-term perspective (e.g., for finance, chemistry, machine learning, and optimization) and with a long-term perspective (e.g., for cryptography or unstructu
Externí odkaz:
http://arxiv.org/abs/2405.17543
Autor:
Shannon N Tessier, Lauren D Bookstaver, Cindy Angpraseuth, Cleo J Stannard, Beatriz Marques, Uyen K Ho, Alona Muzikansky, Berent Aldikacti, Eduardo Reátegui, Daniel C Rabe, Mehmet Toner, Shannon L Stott
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0251290 (2021)
Extracellular vesicles (EVs) have emerged as promising candidates in biomarker discovery and diagnostics. Protected by the lipid bilayer, the molecular content of EVs in diverse biofluids are protected from RNases and proteases in the surrounding env
Externí odkaz:
https://doaj.org/article/37571d608dcc43d79e2f83e12ac8c324
Autor:
Eduardo Reátegui, Kristan E. van der Vos, Charles P. Lai, Mahnaz Zeinali, Nadia A. Atai, Berent Aldikacti, Frederick P. Floyd, Aimal H. Khankhel, Vishal Thapar, Fred H. Hochberg, Lecia V. Sequist, Brian V. Nahed, Bob S. Carter, Mehmet Toner, Leonora Balaj, David T. Ting, Xandra O. Breakefield, Shannon L. Stott
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
Extracellular vesicles can carry many different types of biological cargo and have been investigated as a biomarker for cancer diagnosis. Here the authors develop a microfluidic platform for rapid and sensitive isolation of tumor-specific extracellul
Externí odkaz:
https://doaj.org/article/849c53b9683c4d739bdab8480afd929d
Autor:
Fadeeva, Anastasiia, Schlattner, Philippe, Maksai, Andrii, Collier, Mark, Kokiopoulou, Efi, Berent, Jesse, Musat, Claudiu
The adoption of tablets with touchscreens and styluses is increasing, and a key feature is converting handwriting to text, enabling search, indexing, and AI assistance. Meanwhile, vision-language models (VLMs) are now the go-to solution for image und
Externí odkaz:
http://arxiv.org/abs/2402.15307
Updating machine learning models with new information usually improves their predictive performance, yet, in many applications, it is also desirable to avoid changing the model predictions too much. This property is called stability. In most cases wh
Externí odkaz:
http://arxiv.org/abs/2402.13655
Autor:
Mitrevski, Blagoj, Rak, Arina, Schnitzler, Julian, Li, Chengkun, Maksai, Andrii, Berent, Jesse, Musat, Claudiu
Digital note-taking is gaining popularity, offering a durable, editable, and easily indexable way of storing notes in the vectorized form, known as digital ink. However, a substantial gap remains between this way of note-taking and traditional pen-an
Externí odkaz:
http://arxiv.org/abs/2402.05804