Structural insights into the LGR4-RSPO2-ZNRF3 complexes regulating WNT/β-catenin signaling by Lu Wang, Fangzheng Hu, Qianqian Cui, Huarui Qiao, Lingyun Li, Tengjie Geng, Yuying Li, Zengchao Sun, Siyu Zhou, Zhongyun Lan, Shaojue Guo, Ying Hu, Jiqiu Wang, Qilun Yang, Zenan Wang, Yuanyuan Dai, Yong Geng

“…Here, we elucidate the overall landscape of architectures in multiple LGR4, RSPO2, and ZNRF3 assemblies, showcasing varying stoichiometries and arrangements. …”
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DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images by Naga Surekha Jonnala, Renuka Chowdary Bheemana, Krishna Prakash, Shonak Bansal, Arpit Jain, Vaibhav Pandey, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. …”
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Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms. …”
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PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring by Kun Zhao, Xueying Guo

“…However traditional methods like linear models Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) architectures often struggle to capture the complex, non-linear temporal dependencies in EEG signals. …”
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Deep Learning-Based Post-Stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design by Tianzhe Bao, Zhiyuan Lu, Ping Zhou

“…In this paper, we delve into the potential of deep learning (DL) for post-stroke hand gesture recognition by collecting the sEMG signals of eight chronic stroke subjects, focusing on three primary aspects: feature domains of sEMG (time, frequency, and wavelet), data structures (one or two-dimensional images), and neural network architectures (CNN, CNN-LSTM, and CNN-LSTM-Attention). …”
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Augmented prediction of vertebral collapse after osteoporotic vertebral compression fractures through parameter-efficient fine-tuning of biomedical foundation models by Sibeen Kim, Inkyeong Kim, Woon Tak Yuh, Sangmin Han, Choonghyo Kim, Young San Ko, Wonwoo Cho, Sung Bae Park

“…To construct an accurate prediction model, we explored two backbone architectures: convolutional neural networks and vision transformers (ViTs), along with various pre-trained weights and fine-tuning methods. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…We propose and discuss some non-trivial software design choices and implementation strategies that are needed to match the specific computational and memory access needs of MOT strategies, and the architectural opportunities of NVIDIA embedded GPGPU systems. …”
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The fungal microbiota modulate neonatal oxygen-induced lung injury by Isaac Martin, Mary Silverberg, Ahmed Abdelgawad, Kosuke Tanaka, Brian A. Halloran, Teodora Nicola, Erin D. Myers, Jay P. Desai, Catrina T. White, Ibrahim Karabayir, Oguz Akbilgic, Laura Tipton, Samuel J. Gentle, Namasivayam Ambalavanan, Brian M. Peters, Luan D. Vu, Viral G. Jain, Charitharth V. Lal, Stephania A. Cormier, Joseph F. Pierre, Tamás Jilling, Ajay J. Talati, Kent A. Willis

“…Instead of fungal communities dominated by Candida and Saccharomyces, the first stool microbiomes of infants who developed BPD had less interconnected community architectures with a greater diversity of rarer fungi. …”
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A Framework for Promoting Passive Breast Cancer Monitoring: Deep Learning as an Interpretation Tool for Breast Thermograms by Mohamad Firouzmand, Keivan Majidzadeh, Maryam Jafari, Shahpar Haghighat, Rezvan Esmaeili, Leila Moradi, Nima Misaghi, Mahsa Ensafi, Fatemeh Batmanghelich, Mohammadreza Keyvanpour, Seyed Vahab Shojaedini

“…The prepared database was tested using artificial intelligence and another well-known DMR database (Database for Mastology Research) in this study to determine its reliability.Results: A variety of deep learning architectures and transfer learning are used to evaluate these databases for accuracy, sensitivity, speed, training compliance, and validation compliance. …”
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A Comparison Study of Person Identification Using IR Array Sensors and LiDAR by Kai Liu, Mondher Bouazizi, Zelin Xing, Tomoaki Ohtsuki

“…Future work will explore multi-modal integration, advanced preprocessing, and hybrid architectures to enhance model adaptability and address current limitations. …”
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Context Is All You Need: A Hybrid Attention-Based Method for Detecting Code Design Patterns by Tarik Houichime, Younes El Amrani

“…Software reverse engineering plays a crucial role in identifying design patterns and reconstructing software architectures by analyzing system implementations and producing abstract representations across multiple layers. …”
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Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies by Salman Ahmed, Nabihah Ahmad, Nasir Ali Shah, Ghulam E. Mustafa Abro, Ardhi Wijayanto, Abdinasir Hirsi, Abdul Rehman Altaf

“…This paper offers a comprehensive review of the latest lightweight AES architectural designs, including optimizations to the Substitution Box (S-Box), Sub-Bytes, Shift Rows, Mix Columns, and Add Round Key steps, assessing their impact on gate count, area, maximum frequency, power consumption, and throughput in field programable gate arrays (FPGA) and Application-specific integrated circuit (ASIC) implementations. …”
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Geografia, Patrimônio e Turismo na Amazônia Brasileira: o Projeto Roteiros Geo-Turísticos em Belém do Pará by Maria Goretti da Costa Tavares

“…The project was born as a university extension activity, created with the aim of presenting to the scientific community, local society and tourists something that differs from a conventional tourist itinerary, seeking to combine historical, architectural, cultural and geographical knowledge. He inserts places that have not been frequently included in commercialized tours, spaces in which there is a clear lack of public power actions, especially with regard to cleanliness and safety, contrary to what occurs in certain restored and refunctionalized spaces. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…Three Promising neural network architectures are customized, trained. and subjected to various classification tasks, after which the best performing network is further optimized. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…Key research gaps are identified, including the need for large training samples, challenges in Maximum Intensity Projection (MIP) imaging, limitations of 2D architectures, and issues related to overfitting and computational complexity. …”
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Seismotectonics and landslides of the NE border of the Calabrian Arc (Southern Italy) by Carlo Tansi, Salvatore Critelli, Michele Folino Gallo, Anna Gervasi, Gianpietro Imbrogno, Mario La Rocca, Michela Ponte, Vincenzo Tripodi, Francesco Muto

“…The areal distribution of landslide and susceptibility of the area is due to the interaction between seismotectonic peculiarity, lithological typologies and fault zone architectures. Landslides and flood phenomena of this sector involve many municipalities, major and minor infrastructures and economic and social activities. …”
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Solar flare forecasting based on a Fusion Model by YiYang Li, ShiYong Huang, SiBo Xu, ZhiGang Yuan, Kui Jiang, QiYang Xiong, RenTong Lin

“…Besides, we also discuss the performance impact of architectural innovation in our fusion model.…”
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Empowering Security Operation Center With Artificial Intelligence and Machine Learning—A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…In addition, an in-depth reference architectural model, which is a blueprint for SOC integrating AI and ML into SOCs, is introduced. …”
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Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East of Thailand by Parinya Thetbanthad, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. Two model architectures were explored: a Two-Stage Optical Character Recognition (OCR) and Large Language Model (LLM) pipeline combining EasyOCR with Qwen2-72b-instruct and a Uni-Stage Visual Question Answering (VQA) model using Qwen2-72b-VL. …”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…In various practical noise control scenarios, such as duct noise mitigation, industrial machinery, architectural acoustics, and underwater applications, it is essential to develop noise absorbers that deliver effective low-frequency attenuation while maintaining compact dimensions. …”
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