Validation of an MPS-based intestinal cell culture model for the evaluation of drug-induced toxicity by Stefanie Hoffmann, Philip Hewitt, Isabel Koscielski, Dorota Kurek, Wouter Strijker, Kinga Kosim

“…In pharmaceutical research, the complex behavior of human intestinal cells is traditionally investigated using 2D cultures, in which one cell type grows under static conditions. …”
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MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…Through equivalent transformations, the complex network architecture is compressed into a single linear layer. …”
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Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…The recognition performance is notably favorable, demonstrating robustness in complex environments.…”
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A lightweight personnel detection method for underground coal mines by Shuai WANG, Wei YANG, Yuxiang LI, Jiaqi WU, Wei YANG

“…The underground environment of coal mines is complex and has more safety hazards. Personnel detection is an important part of ensuring safe production in coal mines and building smart mines. …”
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Emergence of sliding ferroelectricity in naturally parallel-stacked multilayer ReSe2 semiconductor by Wuhong Xue, Peng Wang, Wenjuan Ci, Ying Guo, Jingyuan Qu, Zeting Zeng, Tianqi Liu, Ri He, Shaobo Cheng, Xiaohong Xu

“…However, traditional sliding ferroelectrics typically require complex artificial stacking to break symmetry, and most of them lack atomic-scale evidence. …”
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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

“…Second, the system uses the benefits of canonical correlation analysis for dimensionality reduction in pooling layer attributes to reduce complexity. In addition, it integrates the dual-layer features to encapsulate both high- and low-level representations. …”
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Interaction Between Rumen Microbiota and Epithelial Mitochondrial Dynamics in Tibetan Sheep: Elucidating the Mechanism of Rumen Epithelial Energy Metabolism by Ying Xu, Yuzhu Sha, Xiaowei Chen, Qianling Chen, Xiu Liu, Yanyu He, Wei Huang, Yapeng He, Xu Gao

“…With increasing altitude, keratinized layer became more compact; desmosome connections between granular layer cells increased; mitochondrial quantity and distribution in spinous and basal layers increased. …”
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Magnetically sensitive nanocomposites and magnetic liquids based on magnetite, gemcitabine, and antibody HER2 by A. L. Petranovska, M. V. Abramov, N. M. Оpanashchuk, S. P. Turanska, P. P. Gorbyk, N. V. Kusyak, A. P. Kusyak, N. Yu. Lukyanova, V. F. Chekhun

“…The average value of the thickness of the adsorbed layer of GC in the composition of Fe3O4@GC NC is 2.4±0.1 nm, as evaluated by the method of magnetic granulometry. …”
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Application of bioinspired global optimization algorithms to the improvement of the prediction accuracy of compact extreme learning machines by L. A. Demidova, A. V. Gorchakov

“…An ELM comprises a single-hidden-layer feedforward neural network in which the weights of connections among input-layer neurons and hidden-layer neurons are initialized randomly, while the weights of connections among hidden-layer neurons and output-layer neurons are computed using a generalized Moore– Penrose pseudoinverse operation. …”
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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

“…All multiple-color images are divided into RGB channels in the first layer. The images in each channel go through a randomization process to be arranged at random before being combined to form a single image (batch) used as the input for the following layer. …”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…Currently, underground coal mine target detection algorithms based on deep learning show poor performance in detecting complex small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced multi-class target scale distribution, often resulting in missed detection and false detection. …”
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Foams‐Induced Hierarchy for Multiscale Photonics on Flat Substrates: Lasing and Mie‐Bragg Diffraction as Case Studies. by Luisina Forzani, Pedro Tartaj, Yurena Luengo, Ramazan Dalmis, Pedro Moronta, Alvaro Blanco, Cefe López

“…Here, a facile colloidal route capable of producing a complex configuration with two levels of functionality is described. …”
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A Combined PSO-LSTM Prediction Model for Dam Deformation by HAO Ze-jia, SHI Yu-qun, CHENG Bo-chao, HE Jin-ping

“…[Objective] Dam deformation results from the nonlinear effects of multiple complex environmental factors. Traditional mathematical models for dam deformation monitoring have difficulty reflecting the complex nonlinear relationships between effect variables and environmental variables, often leading to unsatisfactory prediction results. …”
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Deep learning multilayer architecture for analysis of three-dimensional Eyring-Powell nanofluid flow subject to viscous dissipation and joule heating by Zahoor Shah, Muflih Alhazmi, Maryam Jawaid, Nafisa A. Albasheir, Mohammed M.A. Alma Zah, Nashwan Adnan Othman, Waqar Azeem Khan

“…Artificial intelligence has enhanced complex systems modeling by achieving exceptional precision and effectiveness. …”
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Effect of foam interlayer thickness and pore size on the microstructure and properties of brazed joints by Yifeng Xiao, Zhang Song, Qiankun Zhang, Rui Zhang, Shijie Bai, Liang Wu

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Cooperative service caching and peer offloading in Internet of vehicles based on multi-agent meta-reinforcement learning by Zhaolong NING, Kaiyuan ZHANG, Xiaojie WANG, Lei GUO

“…In order to reduce computation complexity, a two-layer mutli-RSU (road side unit) service caching and peer offloading algorithm (MPO) was proposed to decouple the optimization problem.In the designed MPO, the outer layer utilized multi-agent meta-reinforcement learning, which established long short-term memory (LSTM) network as the meta-agent to balance decisions of local agents and accelerate learning progress.The inner layer utilized lagrange multiplier method to achieve optimal decision for RSU peer offloading.Experimental results based on real traffic data in Hangzhou demonstrate that the proposed method outperforms other methods and remains robust under large-scale workloads.…”
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Laparoscopy Combined with Transvaginal Approach for Repairing Genital Tract Penetrating Injury: A Case Report by Liang M, Wen Y, Li Y, Zhu X, Chen C

“…Most of these cases require surgical treatment, and the intraoperative situation is complex and changeable. We report a patient with a penetrating injury of the genital tract and foreign body retention in the body, who was successfully treated using the laparoscopic combined with transvaginal full-layer suture technique. …”
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PNN: A novel progressive neural network for fault classification in rotating machinery under small dataset constraint by Praveen Chopra, Himanshu Kumar, Sandeep Yadav

“…This fixed-size feature output at each layer controls the complexity of the PNN and makes it suitable for effective learning from small datasets. …”
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Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion by Yomna Mohamed, Ahmed Elghadban, Hei I Lei, Amelie Andrea Shih, Po-Heng Lee

“…However, its efficiency improvement is hindered by complex microbial communities and sensitivity to feedstock properties. …”
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Single Stage Nasal Reconstruction in a Near Total Nasal Defect by Vimalendu Brajesh, Aditya Aggarwal, Sukhdeep Singh, Vishal Vora, Kanika Rana

“…A full-thickness defect of nose requires reconstruction of thin inner lining, middle skeletal (bony/cartilaginous) support, and outer skin layer cover. Large full-thickness defects of nose require complex multistage reconstruction to achieve good functional and aesthetic result. …”
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