Theory on the coupled stochastic dynamics of transcription and splice-site recognition. by Rajamanickam Murugan, Gabriel Kreiman

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A lightweight practical consensus mechanism for supply chain blockchain by Mohammad Saidur Rahman, Ibrahim Khalil, Mohammed Atiquzzaman, Abdelaziz Bouras

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Infectivity and fatality of influenza in pre- and post-COVID-19 pandemic year. by Shuanglin Jing, Hao Wang

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APEX: an automated cloud-native material property explorer by Zhuoyuan Li, Tongqi Wen, Yuzhi Zhang, Xinzijian Liu, Chengqian Zhang, A. S. L. Subrahmanyam Pattamatta, Xiaoguo Gong, Beilin Ye, Han Wang, Linfeng Zhang, David J. Srolovitz

“…Abstract The ability to rapidly evaluate materials properties through atomistic simulation approaches is the foundation of many new artificial intelligence-based approaches to materials identification and design. …”
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Economic Peaks and Value-at-Risk Analysis: A Novel Approach Using the Laplace Distribution for House Prices by Jondeep Das, Partha Jyoti Hazarika, Morad Alizadeh, Javier E. Contreras-Reyes, Hebatallah H. Mohammad, Haitham M. Yousof

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Advanced AI techniques for landslide susceptibility mapping and spatial prediction: A case study in Medellín, Colombia by I.N. Gómez-Miranda, C. Restrepo-Estrada, A. Builes-Jaramillo, João Porto de Albuquerque

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OpenABM-Covid19-An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. by Robert Hinch, William J M Probert, Anel Nurtay, Michelle Kendall, Chris Wymant, Matthew Hall, Katrina Lythgoe, Ana Bulas Cruz, Lele Zhao, Andrea Stewart, Luca Ferretti, Daniel Montero, James Warren, Nicole Mather, Matthew Abueg, Neo Wu, Olivier Legat, Katie Bentley, Thomas Mead, Kelvin Van-Vuuren, Dylan Feldner-Busztin, Tommaso Ristori, Anthony Finkelstein, David G Bonsall, Lucie Abeler-Dörner, Christophe Fraser

“…OpenABM-Covid19 can evaluate non-pharmaceutical interventions, including both manual and digital contact tracing, and vaccination programmes. …”
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Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications by Natan L Nozella, Guilherme S Selmi, Nayrim B Guerra, Marcelo R Piton, Carlos F O Graeff, Rafael F de Oliveira

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Detectability of runs of homozygosity is influenced by analysis parameters and population-specific demographic history. by Gabriel A A Silva, Avril M Harder, Kenneth B Kirksey, Samarth Mathur, Janna R Willoughby

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An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England. by Jonathon Mellor, Maria L Tang, Emilie Finch, Rachel Christie, Oliver Polhill, Christopher E Overton, Ann Hoban, Amy Douglas, Sarah R Deeny, Thomas Ward

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Quantifying the relative contributions of divisive and subtractive feedback to rhythm generation. by Joël Tabak, John Rinzel, Richard Bertram

“…We instead develop a computational measure of the contribution of a process, by evaluating the sensitivity of the active (high activity) and silent (low activity) phase durations to the time constant of the process. …”
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Unveiling Trends of Chatbot and Conversational Agents: A Bibliometric Study by Alasali Tasnim K., Dakkak Omar, Türker İlker

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Memory consolidation from a reinforcement learning perspective by Jong Won Lee, Min Whan Jung, Min Whan Jung

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Phylogenetic and functional assessment of orthologs inference projects and methods. by Adrian M Altenhoff, Christophe Dessimoz

“…However, only a few reports have compared their accuracy, and indeed, several recent efforts have not yet been systematically evaluated. Furthermore, orthology is typically only assessed in terms of function conservation, despite the phylogeny-based original definition of Fitch. …”
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Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data. by Xueda Shen, Aaron Rumack, Bryan Wilder, Ryan J Tibshirani

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Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals by Luca Binci, Nicola Marzari, Iurii Timrov

“…We benchmark the novel computational scheme on prototypical transition-metal monoxides NiO and MnO, showing remarkable agreement with experiments and highlighting the fundamental role of these newly implemented Hubbard corrections. …”
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Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym by Ray Wang, Tahiya Chowdhury, Alejandra C. Ortiz

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Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction by Qi Wang, Yonggang Yao

“…However, these complexities pose grand challenges for traditional “trial-and-error” experimentation or computationally expensive “brute-force” ab initio calculations. …”
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Logistical constraints lead to an intermediate optimum in outbreak response vaccination. by Yun Tao, Katriona Shea, Matthew Ferrari

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SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…It also scored a fast computation time, averaging 0.3384 seconds. …”
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