A systems genomics approach uncovers molecular associates of RSV severity. by Matthew N McCall, Chin-Yi Chu, Lu Wang, Lauren Benoodt, Juilee Thakar, Anthony Corbett, Jeanne Holden-Wiltse, Christopher Slaunwhite, Alex Grier, Steven R Gill, Ann R Falsey, David J Topham, Mary T Caserta, Edward E Walsh, Xing Qiu, Thomas J Mariani

“…We implemented a novel multi-omic data integration method based on multilayered principal component analysis, penalized regression, and feature weight back-propagation, which enabled us to identify cellular pathways associated with RSV severity. …”
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Blind Infrared Remote-Sensing Image Deblurring Algorithm via Edge Composite-Gradient Feature Prior and Detail Maintenance by Xiaohang Zhao, Mingxuan Li, Ting Nie, Chengshan Han, Liang Huang

“…To further improve the edge-preserving restoration, we introduce an adaptive regularizer that outperforms traditional total variation regularization by better maintaining edge integrity in both clear and blurred images. …”
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Clinical information prompt-driven retinal fundus image for brain health evaluation by Nuo Tong, Ying Hui, Shui-Ping Gou, Ling-Xi Chen, Xiang-Hong Wang, Shuo-Hua Chen, Jing Li, Xiao-Shuai Li, Yun-Tao Wu, Shou-Ling Wu, Zhen-Chang Wang, Jing Sun, Han Lv

“…Results The proposed framework yielded average RMSE, PSNR, and SSIM values of 98.23, 35.78 dB, and 0.64, respectively, which significantly outperformed 5 other methods: multi-channel Variational Autoencoder (mcVAE), Pixel-to-Pixel (Pixel2pixel), transformer-based U-Net (TransUNet), multi-scale transformer network (MT-Net), and residual vision transformer (ResViT). …”
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Deep generative model for the inverse design of Van der Waals heterostructures by Shikun Gao, Qinyuan Huang, Chen Huang, Cheng Li, Kaihao Liu, Baisheng Sa, Yadong Yu, Dezhen Xue, Zhe Liu, Mengyan Dai

“…To address the challenges of traditional experimental methods relying on trial-and-error and existing models struggling to incorporate target property constraints, this work achieves breakthroughs through three innovative stages: (1) introduce the SE(3)-equivariant graph neural network EquiformerV2 as the encoder-decoder within the CDVAE framework to enhance the generation quality of the model; (2) design a module integrating Low-rank Multimodal Fusion and Generative Adversarial Networks to map properties and structures into a joint latent space; and (3) for the first time propose a generative model for the vdW heterostructures, by conducting experimental validation on the dataset constructed from Janus III–VI vdW heterostructures. …”
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Artificial Intelligence for Fault Detection of Automotive Electric Motors by Federico Soresini, Dario Barri, Ivan Cazzaniga, Federico Maria Ballo, Gianpiero Mastinu, Massimiliano Gobbi

“…Machine Learning techniques, powered by Artificial Intelligence, now represent state-of-the-art methods for this purpose. This study focuses on durability testing of Permanent Magnet Synchronous Motors for automotive applications, using Autoencoders (AEs) to predict and prevent failures. …”
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Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability by Kwanghyun Kim, Yoongun Jung, Minhyeok Chang, Junsang Cha, Seokjun Kang, Hyunkeun Ku, Gumin Kwon, Minhan Yoon, Gilsoo Jang

“…To address this issue, this paper proposes a coordinated control approach a multi-infeed voltage source converter (VSC) high-voltage direct current (HVDC) with linearization. The proposed method analyzes the impact of VSC-HVDC active and reactive power control on line loading and bus voltage variations to define the HVDC control area. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…BuDDI utilizes domain adaptation techniques to effectively integrate available corpora of case-control bulk and reference scRNA-seq observations to infer cell-type-specific perturbation effects. …”
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Optimal cascade 2DOF fractional order master-slave controller design for LFC of hybrid microgrid systems with EV charging technology by Amira Hassan, Mohamed M. Aly, Ali Selim, Ahmed Elmelegi, A.O. Aldhaibani, Emad A. Mohamed

“…The proposed method includes a twofold contribution using a new fractional-order LFC method. …”
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The Optimal Operation Strategy of an Energy Community Aggregator for Heterogeneous Distributed Flexible Resources by Xinyi Yang, Tao Chen, Yuanshi Zhang, Ciwei Gao, Xingyu Yan, Hongxun Hui, Xiaomeng Ai

“…The widespread integration of renewable energy into the grid emphasizes the issues of power system uncertainty and insufficient flexibility. …”
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Soil Particle Size Estimation via Optical Flow and Potential Function Analysis for Dam Seepage and Building Monitoring by Shuangping Li, Lin Gao, Bin Zhang, Zuqiang Liu, Xin Zhang, Linjie Guan, Han Tang

“…To address the limitations of the classical Horn and Schunck method, particularly its sensitivity to large displacements and brightness variations, we introduced a coarse-to-fine warping strategy, an image decomposition step to separate dominant structures from fine textures, and the Charbonnier penalty function. …”
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Autoencoder-Driven Fiducial Landmark Identification in 3D Brain MRI for Neuroimaging Alignment by G. Deepali, H. Anitha, B. P. Swathi, M. V. Suhas

“…In this work, we propose a deep learning-based framework using autoencoders to automatically detect fiducial markers in 3D brain MRI scans. The method integrates a structured preprocessing pipeline, including intensity normalization, spatial resampling, and noise reduction, to ensure data consistency. …”
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Computer prediction of toxicity of new S-alkyl derivatives of 1,2,4-triazole by V. V. Kalchenko, R. O. Shcherbyna

“…The toxicity assessment was conducted using the nearest neighbor method via the Toxicity Estimation Software Tool (TEST). …”
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Application of UAV and satellite technologies for assessing phytophthora root rot severity in avocado orchards by S. Duncan, A. McLeod, C. Poblete-Echeverria

“…However, tracking tree health using visual ratings is a time-consuming process, fraught with practical challenges arising from gradual visual changes, spatial variation, and dimensions of the orchards. To address these limitations, the integration of remote sensor-based methods is proposed as a viable alternative to the visual severity ranking. …”
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Aerial-Ground Cross-View Vehicle Re-Identification: A Benchmark Dataset and Baseline by Linzhi Shang, Chen Min, Juan Wang, Liang Xiao, Dawei Zhao, Yiming Nie

“…This task is increasingly relevant due to the integration of drone-based surveillance and ground-level monitoring in multi-source remote sensing systems, yet it poses substantial challenges due to significant appearance variations between aerial and ground views. …”
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An intelligent environmental-sensorless model for real-time optimization in photovoltaic-energy systems: Fast computation, long-term performance, and experimental validation by Ambe Harrison, Hassan M. Hussein Farh, Abdullrahman A. Al-Shamma'a, Saad Mekhilef

“…Furthermore, the long-term reliability of the method was assessed by simulating PV aging over 10- and 20-year periods. …”
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A Cosimulation Framework for Carrier-Based Aircraft Arrested Landing Process by Shao Haoyuan, Li Daochun, Kan Zi, Ding Menglong, Xiang Jinwu

“…The computational process employs fourth-order Runge–Kutta integration for the descent phase and transitions to the Newmark method when the hook-to-ramp distance reaches the engagement threshold. …”
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Leadership Behaviours and Goals Achievement in Public Senior Secondary Schools by Ismaeel Saka

“…This research also opens up space for further research that considers local contexts, demographic variations, and more diverse research methods to gain a more comprehensive understanding.…”
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation by Abdul Karim, Semin Ryu, In cheol Jeong

“…By achieving a classification accuracy of 95.4%, the ensemble framework outperformed traditional classifiers in capturing subtle diagnostic variations. This method offers a robust solution for biomedical signal classification and has potential applications in clinical diagnostics. …”
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The Impact of Non-constant Inertia and Nonlinear Damping on the Torsional Vibration Characteristics of Internal Combustion Engine Including External Forces by Hameed D. Lafta

“…The effect of variable inertia and nonlinear damping on the damped forced response of slider-crank assembly of the engine was investigated using the numerical integration method. The numerical results show that the phenomenon of secondary rolling excitation torque is well activated and gives arises to variation of frequencies and their corresponding amplitudes. …”
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In vitro models in drug discovery and development for leishmaniasis: A perspective by Simon L. Croft, Katrien Van Bocxlaer

“…While ILAMs have become a standard in drug discovery, their integration with more complex models and medicinal chemistry remains crucial for progressing toward an effective, short-course, oral treatment for all forms of leishmaniasis.…”
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