From silent partners to potential therapeutic targets: macrophages in colorectal cancer by Hayat Khizar, Kamran Ali, Jianwei Wang

“…Decoding and figuring out these complex systems become significant in building targeted treatment programs. …”
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Ensenyar els connectors al primer cicle de l’escola primària / Teaching linking words to primary students by Alícia Santolària Òrrios

“…In this research, which was conducted in the classroom, a didactic sequence as a methodological tool has been chosen following the Geneva School. The selected device demonstrates, firstly, that introducing knowledge on grammar is not only possible but efficient at an early age; and, secondly, that the introduction of a didactic sequence helps improve children’s texts.…”
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Diatom Frustule-Inspired Bridges: A Fusion of Art, Architecture and Mechanical Design by Mukunda Adhikari, Parvez Alam

“…Bridges are important structures, often playing a vital role in society, connecting communities, enabling easy access over complex terrains and providing aesthetic purpose. …”
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The role of cognitive distortion in criminal behavior: a systematic literature review by Kalaivanan Syasyila, Lim L. Gin, Hilwa Abdullah Mohd. Nor, Mohammad Rahim Kamaluddin

“…Abstract The complex link between cognitive distortions (CDs) and criminal behavior is explored in this systematic literature review, with particular attention paid to typologies, contributions to criminal behavior, and correlations with different forms of crime. …”
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Metaanalyzing Foucault’s Archaeology Theory by Masoud Zare Mehrjardy, Ali Yousofi, Saeideh Mirabi

“…The most important criticisms of archaeology are the neglect of political and historical complexities, the failure of the archaeology of knowledge as the subject of succession to epistemology, and philosophical vacuum and refusal to search for a meaningful source for restoring the scattered historical determination of human.…”
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RMFKAN: Network Spammers Detection Method Based on Improved Graph Mamba by WANG Yuzhe, YAN Jinghua, BU Fanliang, WANG Yifan, LI Jia, HAN Zhuxuan

“…Specifically, subgraphs are tokenized by the random walk strategy, message passing neural networks are input to independently handle different types of edges, and features are enhanced by KAN improved with Fourier coefficients. The feature matrix is input into Bi-Mamba to improve the ability of capturing long-distance dependencies and effectively reduce training complexity. …”
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Predicting CO₂ and H₂ Solubility in Pure Water and Various Aqueous Systems: Implication for CO₂–EOR, Carbon Capture and Sequestration, Natural Hydr... by Promise O. Longe, David Kwaku Danso, Gideon Gyamfi, Jyun Syung Tsau, Mubarak M. Alhajeri, Mojdeh Rasoulzadeh, Xiaoli Li, Reza Ghahfarokhi Barati

“…Furthermore, natural hydrogen (H₂) production and underground hydrogen storage (UHS) in geological media have emerged as promising technologies for cleaner energy and achieving net–zero emissions. However, selecting a suitable geological storage medium is complex, as it depends on the physicochemical and petrophysical characteristics of the host rock. …”
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Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…This approach reduces algorithm training complexity by abstracting away intricate workpiece allocation details. …”
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Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study by Abhishek Patange, Farzam Omidi Moaf, Piotr Fiborek, Adityan Arumuganainar, Rohan Nandkishor Soman

“…The proposed methodology reduces sensor requirements, lowers system complexity and cost, and enables efficient SHM solutions in extreme or large-scale environments. …”
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Metabolome Profiling and Predictive Modeling of Dark Green Leaf Trait in Bunching Onion Varieties by Tetsuya Nakajima, Mari Kobayashi, Masato Fuji, Kouei Fujii, Mostafa Abdelrahman, Yasumasa Matsuoka, Jun’ichi Mano, Muneo Sato, Masami Yokota Hirai, Naoki Yamauchi, Masayoshi Shigyo

“…These advancements enable the efficient selection of dark green varieties and facilitate the establishment of optimal growth environments through plant growth monitoring. …”
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Analysis of Production Process Performance Using Computer by Pawlak Szymon, Fornalczyk Agnieszka

“…Planning a production process in terms of correctly defining its efficiency, duration and the level of generated costs is a difficult task. …”
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Establishing a differential diagnosis model between primary membranous nephropathy and non-primary membranous nephropathy by machine learning algorithms by Shangmei Cao, Shaozhe Yang, Bolin Chen, Xixia Chen, Xiuhong Fu, Shuifu Tang

“…Context Four algorithms with relatively balanced complexity and accuracy in deep learning classification algorithm were selected for differential diagnosis of primary membranous nephropathy (PMN).Objective This study explored the most suitable classification algorithm for PMN identification, and to provide data reference for PMN diagnosis research.Methods A total of 500 patients were referred to Luo-he Central Hospital from 2019 to 2021. …”
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Context-Adaptable Deployment of FastSLAM 2.0 on Graphic Processing Unit with Unknown Data Association by Jessica Giovagnola, Manuel Pegalajar Cuéllar, Diego Pedro Morales Santos

“…The parallelization process involves identifying the parameters affecting the computational complexity in order to distribute the computation among single multiprocessors as efficiently as possible. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The transformer can extract the global information well but adapting it to small medical datasets is challenging and its computational complexity can be heavy. In this work, a serial and parallel network is proposed for the accurate 3D medical image segmentation by combining CNN and transformer and promoting feature interactions across various semantic levels. …”
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Synthesis of Rhodamine TEMPO Conjugates via Isonitrile‐Based Multicomponent‐Reactions for Mitochondria‐Targeted ROS‐Detection in Cancer Cells by Haider N. Sultani, Ibrahim M. Morgan, Hidayat Hussain, Haleh H. Haeri, Dariush Hinderberger, Goran N. Kaluđerović, Bernhard Westermann

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Non-Linear Synthetic Time Series Generation for Electroencephalogram Data Using Long Short-Term Memory Models by Bakr Rashid Alqaysi, Manuel Rosa-Zurera, Ali Abdulameer Aldujaili

“…Increasing these values did not improve MSE or cross-correlation and unnecessarily increased computational complexity. The proposed model’s performance was evaluated using the mean-squared error (MSE), Pearson’s correlation coefficient, and the power spectra of the synthetic and original signals, demonstrating the suitability of the proposed method for this application. …”
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CEEMDAN-Based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears by Lingli Jiang, Hongchuang Tan, Xuejun Li, Liman Chen, Dalian Yang

“…The IMFs which included greater amounts fault information are selected as the optimal IMFs based on the correlation coefficient. …”
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Adaptive federated learning for resource-constrained IoT devices through edge intelligence and multi-edge clustering by Fahad Razaque Mughal, Jingsha He, Bhagwan Das, Fayaz Ali Dharejo, Nafei Zhu, Surbhi Bhatia Khan, Saeed Alzahrani

“…This architecture enables edge AI nodes to collaborate, dynamically selecting significant nodes and optimizing global learning tasks with low complexity. …”
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Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems by C. Swetha Priya, F. Sagayaraj Francis

“…A comprehensive comparative study demonstrates that our approach outperforms state-of-the-art models in both prediction accuracy and computational efficiency.…”
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HRT-Net: A Cell-free Cooperative Sensing Method Based on Attention-weighted Hierarchical Network by Shengheng LIU, He YAN, Xingkang LI, Dazhuan XU, Dongming WANG, Yongming HUANG

“…HRT-Net is designed to enhance multi-station collaborative sensing problems for Dual-Functional Radar-Communication (DFRC) systems, offering accurate and resource-efficient target location estimation. First, the sensing area is divided into sub-regions and a lightweight region selection network employing depthwise separable convolution; this approach coarsely identifies the target’s sub-region, reducing computational demands and enabling extensive area coverage. …”
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