Stat3 oxidation-dependent regulation of gene expression impacts on developmental processes and involves cooperation with Hif-1α. by Michela Grillo, Carolyn Palmer, Nadine Holmes, Fei Sang, Andrew C Larner, Rahul Bhosale, Peter E Shaw

“…Our further computational analysis revealed enrichment of hypoxia response elements (HREs) within DE gene promoters, implying a role for Hif-1. …”
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High‑Temperature Image Pre‐Processing Based on ε‐Ga2O3 Photo‐Synapses by Yingtong Lin, Yuhan Zhu, Feng Wang, Yuchen Cai, Zhengqiao Li, Shuhui Li, Xueying Zhan, Jun He, Chao Jiang, Zhenxing Wang

“…Edge‐based neuromorphic computing with data pre‐processing can help alleviate these burdens and enhance overall system efficiency. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…In this paper, we propose a reservoir computing-based and directed graph analysis pipeline. …”
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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

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Real-Time Encrypted Traffic Classification with Deep Learning by Onur Demir, Deniz Tuana Ergönül

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Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware by Valentina Baruzzi, Giacomo Indiveri, Silvio P. Sabatini

“…Experimental results validate the approach, demonstrating how principles of neural computation can lead to robust sensory processing electronic systems, even when they are affected by high degree of heterogeneity, e.g., due to the use of analog circuits or memristive devices.…”
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H- and m-channel overexpression promotes seizure-like events by impairing the ability of inhibitory neurons to process correlated inputs. by Scott Rich, Taufik A Valiante, Jérémie Lefebvre

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CellDynaMo-stochastic reaction-diffusion-dynamics model: Application to search-and-capture process of mitotic spindle assembly. by Evgenii Kliuchnikov, Artem Zhmurov, Kenneth A Marx, Alex Mogilner, Valeri Barsegov

“…The SRDDM is mapped into the CellDynaMo package, which couples the spatially inhomogeneous reaction-diffusion master equation to account for biochemical reactions and molecular transport within the Langevin Dynamics (LD) framework to describe dynamic mechanical processes. This computational infrastructure allows the simulation of hours of molecular machine dynamics in reasonable wall-clock time. …”
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Reimagining Robots: The Future of Cybernetic Organisms with Energy-Efficient Designs by Stefan Stavrev

“…Complementing this, neuromorphic computing architectures, including memristor-based processors and spiking neural networks (SNNs), enhance computational efficiency while minimizing energy consumption. …”
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Estimation of Age and Gender by Assessing the Pterygoid Hamulus and Pterygoid Processess of Sphenoid Bone Using Cone Beam Computed Tomography – A Retrospective Study by V Srinivasan, S Srividhya, K Saraswathi Gopal

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Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA by Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi, Rana Ahmad Bilal Khalid

“…However, modern multi-core processors and accelerators necessitate fine-grained control to achieve effective parallelism, complicating the development process. …”
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Criteria for Evaluating Digital Technology Used to Support Computational Thinking via Inquiry Learning—The Case of Two Educational Software Applications for Mathematics and Physics... by Aikaterini Bounou, Nikolaos Tselios, George Kaliampos, Konstantinos Lavidas, Stamatios Papadakis

“…There is an ongoing need to evaluate whether commonly used educational software effectively supports inquiry-based learning and computational thinking skills development, which are key objectives in secondary STEM curricula. …”
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Improving the Performance Prediction of Process Simulation Models for TBM Tunneling Using Real-Time Project Data by Annika Jodehl, Judith Berns, Markus Thewes, Markus König

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Integrated Optimization of Production Scheduling and Explicit Model Predictive Control for Batch Process Based on SEN Framework by Yue WANG, Xiaohui GUO, Yuting JIN, Xin JIN

“…Synchronous method is used to establish an integrated model for batch process production scheduling and control. In the scheduling section, a production scheduling model is established based on the State Equipment Network (SEN) and the unit⁃specific event⁃based continuous time modeling method; the integrated model of scheduling and control belongs to a mixed integer dynamic optimization problem, and solving it requires a large amount of complex computation, in order to alleviate the burden of online computing, Explicit Model Predictive Control (EMPC) is utilized for offline solving; the MPT toolbox is used to solve the dynamic problem of EMPC; introducing binary variables, converting the obtained explicit control solution into explicit linear constraints, and adding them to the common constraint objective in the scheduling model; through case analysis, the optimization results were compared and analyzed with the pure scheduling model, and the economic feasibility of the integrated model is verified.…”
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EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction by Shanshan Yu, Danhuai Guo, Yanjie Fu, Wei Jin

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Processing and Characterization of High-Density Fe-Silicide/Si Core–Shell Quantum Dots for Light Emission by Katsunori Makihara, Yuji Yamamoto, Markus Andreas Schubert, Andreas Mai, Seiichi Miyazaki

“…Si-based photonics has garnered considerable attention as a future device for complementary metal–oxide–semiconductor (CMOS) computing. However, few studies have investigated Si-based light sources highly compatible with Si ultra large-scale integration processing. …”
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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

“…A continuum of computing including local, edge, and cloud tiers would offer a promising solution for medical image processing. …”
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Comprehensive Review on the Exploitation of Advanced Memory Optimization Strategies to Improve Performance for Convolutional and Spiking Neural Networks in Medical Imaging Using Ha... by N. Srikanth Prasad, S. Sundar

“…It will analyze techniques like memory compression, tiling, hierarchical memory management, and neural network pruning to improve computation efficiency. In addition, in-memory computing will be a key focus to mitigate the inefficiency of data movement, adaptability of Field-Programmable Gate Array (FPGA) for custom workloads, parallel processing by Graphics Processing Unit (GPU), and domain-specific optimizations of Application-Specific Integrated Circuit (ASIC). …”
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From Light to Logic: Recent Advances in Optoelectronic Logic Gate by Woochul Kim, Dante Ahn, Minz Lee, Namsoo Lim, Hyeonghun Kim, Yusin Pak

“…By summarizing current research and proposing future directions, this review aims to guide the ongoing development of next‐generation optoelectronic architectures, poised to redefine the landscape of optical computing, communication, and data processing.…”
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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

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