Zobrazeno 1 - 10
of 92 910
pro vyhledávání: '"Shrestha AS"'
We develop a hydrodynamic description of self-generated electrolyte flow in capillaries whose bounding walls feature both non-uniform distributions of charge and non-uniform active ionic fluxes. The hydrodynamic velocity arising in such a system has
Externí odkaz:
http://arxiv.org/abs/2412.15397
Blockchain technology has emerged as a transformative tool for data management in a variety of industries, including fintech, research and healthcare. We have developed a workable blockchain based system that utilizes non fungible tokens NFTs to toke
Externí odkaz:
http://arxiv.org/abs/2412.14096
Autor:
Akahori, Shizuka, Teruya, Shotaro, Shrestha, Pragyan, Yoshii, Yuichi, Michinobu, Ryuhei, Iizuka, Satoshi, Kitahara, Itaru
Ultrasound imaging of the medial elbow is crucial for the early identification of Ulnar Collateral Ligament (UCL) injuries. Specifically, measuring the elbow joint space in ultrasound images is used to assess the valgus instability of elbow. To autom
Externí odkaz:
http://arxiv.org/abs/2412.13010
Autor:
Plouff, David T., Scheuer, Laura, Shrestha, Shreya, Wu, Weipeng, Parvez, Nawsher J., Bhatt, Subhash, Wang, Xinhao, Gundlach, Lars, Jungfleisch, M. Benjamin, Xiao, John Q.
Altermagnets are a recently discovered class of magnetic material with great potential for applications in the field of spintronics, owing to their non-relativistic spin-splitting and simultaneous antiferromagnetic order. One of the most studied cand
Externí odkaz:
http://arxiv.org/abs/2412.11240
Creation and curation of knowledge graphs can accelerate disease discovery and analysis in real-world data. While disease ontologies aid in biological data annotation, codified categories (SNOMED-CT, ICD10, CPT) may not capture patient condition nuan
Externí odkaz:
http://arxiv.org/abs/2412.15256
Autor:
Baer-Way, Raphael, Chandra, Poonam, Modjaz, Maryam, Kumar, Sahana, Pellegrino, Craig, Chevalier, Roger, Crawford, Adrian, Sarangi, Arkaprabha, Smith, Nathan, Maeda, Keiichi, Nayana, A. J., Filippenko, Alexei V., Andrews, Jennifer E., Arcavi, Iair, Bostroem, K. Azalee, Brink, Thomas G., Dong, Yize, Dwarkadas, Vikram, Farah, Joseph R., Howell, D. Andrew, Hiramatsu, Daichi, Hosseinzadeh, Griffin, McCully, Curtis, Meza, Nicolas, Newsome, Megan, Gonzalez, Estefania Padilla, Pearson, Jeniveve, Sand, David J., Shrestha, Manisha, Terreran, Giacomo, Valenti, Stefano, Wyatt, Samuel, Yang, Yi, Zheng, WeiKang
While the subclass of interacting supernovae with narrow hydrogen emission lines (SNe IIn) consists of some of the longest-lasting and brightest SNe ever discovered, their progenitors are still not well understood. Investigating SNe IIn as they emit
Externí odkaz:
http://arxiv.org/abs/2412.06914
Autor:
Rivera, Gabriela Calistro, Heirich, Oliver, Shrestha, Amita, Ferenczi, Agnes, Duliu, Alexandru, Eppinger, Jakob, Castella, Bruno Femenia, Fuchs, Christian, Garbagnati, Elisa, Laidlaw, Douglas, Lützen, Pia, De Marco, Innocenzo, Moll, Florian, Prell, Johannes, Reeves, Andrew, Nonay, Jorge Rosano, Roubal, Christian, Torres, Joana S., Wagner, Matthias
The EAGLE-1 mission aims to develop Europe's first sovereign, end-to-end space-based quantum key distribution (QKD) system. The mission is led by the European Space Agency (ESA) and SES in collaboration with several European National Space Agencies a
Externí odkaz:
http://arxiv.org/abs/2412.03222
We solve a system of massless fermions constrained to two space-time dimensions interacting via a $d$ space-time dimensional Maxwell field. Through dimensional reduction to the defect and bosonization, the system maps to a massless scalar interacting
Externí odkaz:
http://arxiv.org/abs/2412.02514
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Autor:
Pokhrel, Sandesh, Bhandari, Sanjay, Ali, Sharib, Lambrou, Tryphon, Nguyen, Anh, Shrestha, Yash Raj, Watson, Angus, Stoyanov, Danail, Gyawali, Prashnna, Bhattarai, Binod
The integration of deep learning tools in gastrointestinal vision holds the potential for significant advancements in diagnosis, treatment, and overall patient care. A major challenge, however, is these tools' tendency to make overconfident predictio
Externí odkaz:
http://arxiv.org/abs/2412.01590
In frequency division duplex (FDD) massive MIMO systems, a major challenge lies in acquiring the downlink channel state information}\ (CSI) at the base station (BS) from limited feedback sent by the user equipment (UE). To tackle this fundamental tas
Externí odkaz:
http://arxiv.org/abs/2411.16043