24 papers · ranked by Valyu relevance
Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh + 4 more
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, scalability, and resource efficiency. However, due to the trade-off…
Niklas Kowallik, Trever Schirmer, David Bermbach
Function-as-a-Service (FaaS) has become a central paradigm in serverless cloud computing, yet optimizing FaaS deployments remains challenging. Using function fusion, multiple functions can be combined into a single deployment unit, which can be used to reduce cost and latency of complex serverless applications…
Yannick Mahlich, Chengsheng Zhu, Henri Chung, Pavan K. Velaga + 4 more
Determining the repertoire of a microbe’s molecular functions is a central question in microbial biology. Modern techniques achieve this goal by comparing microbial genetic material against reference databases of functionally annotated genes/proteins or known taxonomic markers such as 16S rRNA. Here we describe a novel…
Trever Schirmer, Joel Scheuner, Tobias Pfandzelter, David Bermbach
—Serverless computing increases developer productivity by removing operational concerns such as managing hardware or software runtimes. Developers, however, still need to partition their application into functions, which can be error-prone and adds complexity: Using a small function size where only the smallest logical…
Marlena Duda, Jiayu Chen, Aysenil Belger, Judith Ford + 6 more
The precise relationship between brain structure and function has been investigated through a multitude of lenses, but one detail that is held constant across most neuroimaging studies in this space is the identification of a singular structural basis set of the brain, upon which functional activation signals can be…
Christopher S. Henry, Claudia Lerma-Ortiz, Svetlana Y. Gerdes, Jeffrey D. Mullen + 10 more
'Jeffrey D. Mullen' 'Ric Colasanti' 'Aleksey Zhukov' 'Océane Frelin' 'Jennifer J. Thiaville' 'Rémi Zallot' 'Thomas D. Niehaus' 'Ghulam Hasnain' 'Neal Conrad' 'Andrew D. Hanson' 'Valérie de Crécy-Lagard'] Background Gene fusions are the most powerful type of in silico-derived functional associations. However, many…
Gabriele Picco, Elisabeth D Chen, Luz Garcia Alonso, Fiona M Behan + 16 more
Many gene fusions have been reported in tumours and for most their role remains unknown. As fusions can be used clinically for diagnostic and prognostic purposes, and are targets for treatment, it is crucial to assess their functional implications in cancer. To investigate the role of fusions in tumor cell fitness, we…
Authors not listed
Identifying molecular structure based on spectroscopic readings is a key task in a va- riety of chemical and biological applications. Common spectroscopy techniques, such as Infrared (IR) Spectroscopy and Mass Spectrometry (MS), provide detailed information on the structure of molecular compounds but nonetheless…
Charlie Murphy, Olivier Elemento
The discovery of novel gene fusions in tumor samples has rapidly accelerated with the rise of next-generation sequencing. A growing number of tools enable discovery of gene fusions from RNA-seq data. However it is likely that not all gene fusions are driving tumors. Assessing the potential functional consequences of a…
Ya. Ye. Khaustov, Danhui Ye, Yevhen Ryzhov, E. Lychkovskyy + 1 more
'Yu. A. Nastishin'] We propose an algorithm for the fusion of partial images collected from the visual and infrared cameras such that the visual and infrared images are the real and imaginary parts of a complex function. The proposed image fusion algorithm of the complex function is a generalization for the algorithm…
Ludan Chen, Shiwen Wu, Stephen C. H. Leung
Introduction The advancement of medical robotic systems highlights the critical need for precise and high-quality visual data, particularly in low-quality imaging scenarios. This study explores the interdisciplinary physics underlying image fusion and analysis, addressing challenges such as integrating complementary…
Haowen Bai, Zixiang Zhao, Jiangshe Zhang, Yichen Wu + 4 more
'Yukun Cui' 'Shuang Xu' 'Baisong Jiang'] Abstract. Image fusion aims to combine information from multiple source images into a single one with more comprehensive informational content. The significant challenges for deep learning-based image fusion algorithms are the lack of a definitive ground truth as well as the…
Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo + 1 more
Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible…
Marwah Almasri, Khaled Elleithy, Abrar Alajlan, Lianqing Liu + 4 more
Autonomous mobile robots have become a very popular and interesting topic in the last decade. Each of them are equipped with various types of sensors such as GPS, camera, infrared and ultrasonic sensors. These sensors are used to observe the surrounding environment. However, these sensors sometimes fail and have…
Ary Lautaro Di Bartolo, Claudia Nora Tomes, Luis Segundo Mayorga, Diego Masone
The fusion pore controls the release of exocytotic vesicles contents through a precise orchestration of lipids from the fusing membranes and proteins. There is a major lipid reorganization during the different stages in life of the fusion pore: membrane fusion, nucleation and expansion, that can be scrutinized…
Dalton Deane, Thomas Cope, Anna Schulz, Edward Bennett + 1 more
Protein Kinase A (PKA) is a biologically important enzyme for cell regulation, often referred to as the “central kinase”. An immobilized PKA that retains substrate specificity and activity would be a useful tool for laboratory scientists, enabling targeted phosphorylation without interference from downstream kinase…
Authors not listed
Membrane fusion underpins many fundamental cellular processes, yet the design of artificial fusogens that can interact with specific cell surface markers in a precise and predictable manner remains a major challenge. Here we demonstrate that cholera toxin B-subunit (CTB), a naturally occurring glycolipid-binding…
Wenqing Wang, Ji He, Han Liu, Wei Yuan + 1 more
The fusion of multi-modal medical images has great significance for comprehensive diagnosis and treatment. However, the large differences between the various modalities of medical images make multi-modal medical image fusion a great challenge. This paper proposes a novel multi-scale fusion network based on…
Roozbeh Dehghannasiri, Donald Eric Freeman, Milos Jordanski, Gillian L. Hsieh + 3 more
The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce a new algorithm, DEEPEST, that uses statistical modeling to minimize…
Ayush Dogra, Bhawna Goyal, Dawa Chyophel Lepcha, Ahmed Alkhayyat + 4 more
'Devendra Singh' 'Durga Prasad Bavirisetti' 'Vinay Kukreja' 'Muhammad Shahid Farid'] Multimodal medical image fusion is a perennially prominent research topic that can obtain informative medical images and aid radiologists in diagnosing and treating disease more effectively. However, the recent state-of-the-art methods…
Stanton R. Price, Steven R. Price, Derek T. Anderson
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Chengjie Jiang, Xiaowen Liu, Bowen Zheng, Lu Bai + 1 more
fusion network via semantic and geometric domain transformation Authors: ['Chengjie Jiang' 'Xiaowen Liu' 'Bowen Zheng' 'Lu Bai' 'Jing Li'] Abstract. Infrared and visible image fusion has been developed from vision perception oriented fusion methods to strategies which both consider the vision perception and high-level…
julio coll
The respiratory syncytial virus (RSV) causes abundant annual fatalities on young children and elder adults by infecting human cells mediated by RSV fusion (F) surface homotrimeric proteins. Despite their RSV fusion in vitro inhibitors, anti-F therapeutic molecules are not yet clinically available because of emergent…
Authors not listed
Determining solubilities of organic molecules is critical in various fields such as pharmaceuticals, agrochemicals, and environmental science. Knowing how a solute will dissolve in different solvents and at different temperatures is essential for drug formulation, synthesis, purification, and crystallization.…