PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

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FilletCam AI: A handheld tool for precise fillet color profiling of Atlantic salmon and rainbow trout by Rakesh Ranjan, Harsh Shroff, Kata Sharrer, Scott Tsukuda, Christopher Good

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Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. by João A N Filipe, Eleanor M Riley, Christopher J Drakeley, Colin J Sutherland, Azra C Ghani

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DNFE: Directed network flow entropy for detecting tipping points during biological processes. by Xueqing Peng, Rui Qiao, Peiluan Li, Luonan Chen

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Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma. by Mohammad Fallahi-Sichani, Matthew A Schaller, Denise E Kirschner, Steven L Kunkel, Jennifer J Linderman

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A Very Compact AES-SPIHT Selective Encryption Computer Architecture Design with Improved S-Box by Jia Hao Kong, Li-Minn Ang, Kah Phooi Seng

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Language Learning, Representation, and Processing in Humans and Machines: Introduction to the Special Issue by Marianna Apidianaki, Abdellah Fourtassi, Sebastian Padó

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Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics by Emily Allaway, Chandra Bhagavatula, Jena D. Hwang, Kathleen McKeown, Sarah-Jane Leslie

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Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing by Guoce Yang, Mengyun Wang, June Sang Lee, Nikolaos Farmakidis, Joe Shields, Carlota Ruiz de Galarreta, Stuart Kendall, Jacopo Bertolotti, Andriy Moskalenko, Kairan Huang, Andrea Alù, C. David Wright, Harish Bhaskaran

“…Abstract The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. …”
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Robustness to Modeling Errors in Risk-Sensitive Markov Decision Problems With Markov Risk Measures by Shiping Shao, Abhishek Gupta

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Topographic Precipitation Diagnosis: Model Design and Validation in a Two-Dimensional Context by Xiangqian Wei, Yi Liu, Cong Cheng, Xinyu Chang, Jun Guo

“…The innovative use of the <i>z</i>-coordinate system allows for a focused simulation of dynamic processes in complex terrains, capable of real-time computation of the temporal variations in precipitation processes. …”
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Memory‐constrained implementation of lattice‐based encryption scheme on standard Java Card platform by Ye Yuan, Kazuhide Fukushima, Junting Xiao, Shinsaku Kiyomoto, Tsuyoshi Takagi

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A Comprehensive Integrated Security Model with Advanced Access Control for Enhancing WSN Computing in IoT Frameworks by Navaneethan S., Arun A.

“…Wireless Sensor Network (WSN) Computing has emerged as a pivotal intermediary process addressing latency challenges inherent in Cloud-oriented Internet of Things (IoT) services. …”
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Ionized Envelopes Around Protoplanets and the Role of Radiative Feedback in Gas Accretion by Matías Montesinos, Juan Garrido-Deutelmoser, Jorge Cuadra, Mario Sucerquia, Nicolás Cuello, Matthias R. Schreiber, María Paula Ronco, Octavio M. Guilera

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Mechanism Study of Two-Dimensional Precipitation Diagnostic Models Within a Dynamic Framework by Xiangqian Wei, Yi Liu, Xinyu Chang, Jun Guo, Haochuan Li

“…Further, a cloud microphysics precipitation scheme was incorporated to simulate precipitation triggering and falling processes following water vapor condensation. Model results demonstrate that the approach accurately reproduces key processes of water vapor transport, condensation, and precipitation formation. …”
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Privacy-Preserving Data Sharing and Computing for Outsourced Policy Iteration with Attempt Records from Multiple Users by Bangyan Chen, Jun Ye

“…In the actual use of this process, the computing resources possessed by a single user are limited so that the cooperation of multiple users are needed, but the joint learning of multiple users introduces the problem of privacy leakage. …”
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

“…The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. …”
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Quantifying the Impacts of Land Use and Land Cover Change on Watershed Hydrology Using Spatial Cloud Computing by Anwarelsadat Eltayeb Elmahal, Wifag Hassan Mahmoud, Ahmed Abdalla, Mohammed Mahmoud Ibrahim

“…We combined spatial cloud computing with hydrological analysis to investigate the relationship between LULCC and peri‐hydrological processes for four decades. …”
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Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques by Mohsen Rezahasani, Habib Amiri Savadroodbari, Milad Razbin, Majid Safar Johari

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Evaluating CPU, GPU, and FPGA performance in the context of modal reverberation: a comparative analysis by Romain Michon, Michele Ducceschi, Pierre Cochard, Travis Skare, Craig J. Webb, Riccardo Russo

“…By leveraging their respective architectures, these processors are assessed for their ability to manage the high computational demands of modal synthesis. …”
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