Most of the world's largest flowers (genus Rafflesia) are now on the brink of extinction by Pastor Malabrigo Jr., Adriane B. Tobias, Joko Witono, Sofi Mursidawati, Agus Susatya, Mat Yunoh Siti‐Munirah, Adhityo Wicaksono, Reza Raihandhany, Sarah Edwards, Chris J. Thorogood

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Interictal suppression in patients with mesial temporal lobe epilepsy: A simultaneous PET/fMRI study by Jie Hu, Liwei Sun, Kun Guo, Bixiao Cui, Chenyang Yao, Jingjuan Wang, Hui Ouyang, Xu Zhang, Chunlin Li, Jie Lu

“…The pattern of such suppressive network might also serve as potential features for the localization of SOZs. …”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Firstly, the framework incorporates a multimodal feature fusion network with a residual mechanism, which adaptively learns the optimal fusion scheme through residual connections, dynamically suppressing noise interference from redundant modalities. …”
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Parallax-Tolerant Weakly-Supervised Pixel-Wise Deep Color Correction for Image Stitching of Pinhole Camera Arrays by Yanzheng Zhang, Kun Gao, Zhijia Yang, Chenrui Li, Mingfeng Cai, Yuexin Tian, Haobo Cheng, Zhenyu Zhu

“…In the first stage, based on the differences between high-dimensional feature vectors extracted by a convolutional module, a parallax-tolerant color correction network with dynamic loss weights is utilized to adaptively compensate for color differences in overlapping regions. …”
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Comprehensive objective function- guided decomposition-prediction co-optimization framework: Enhanced Transformer model for high-accuracy forecasting of non-stationary runoff by Xiaoqi Guo, Xuehua Zhao, Xueping Zhu, Bowen Zhu, Qiucen Guo, Xixi Wu, Huifang Wang, Jiatong An

“…The framework addresses the nonlinearity and non-stationarity of runoff data by first employing the Walrus Optimizer (WO) to fine-tune SVMD parameters for effective signal decomposition, then leveraging a Bidirectional GRU and Squeeze-and-Excitation Network to enhance the Transformer’s ability to capture temporal dependencies and feature interactions. …”
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The effect and mechanism of Germacrone in ameliorating alcoholic fatty liver by inhibiting Nrf2/Rbp4 by Ru Xiao, Jiamin Fang, Qinpo Huang, Guolin He, Xia Ou, Yang De, Shuhua Gui, Yun Zhang, Maoci Wang, Yiyuan Zhong, Dawa Zeren, Yongling Long, Changhui Liu, Tianqin Xiong

“…After continuous administration of Germacrone (21 days), the effect of Germacrone on liver lipid accumulation, oxidative stress, and pathological injury was evaluated. The core components and targets of JGST were screened by proteomics and network pharmacology, and the improvement effect of Germacrone on ALD was observed by H&E and oil red O staining, serum biochemical indices, and Western blot analysis. …”
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Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study by Xiaolei Lu, Chenye Qiao, Hujun Wang, Yingqi Li, Jingxuan Wang, Congxiao Wang, Yingpeng Wang, Shuyan Qie

“…This study employed four machine learning models—Lasso Regression, Random Forest (RF), Support Vector regression (SVR), and BP Neural Network—to model and validate the sensor data. Model performance was evaluated using mean squared error (MSE), the coefficient of determination (R²), and mean absolute error (MAE). …”
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Cytometry‐based single‐cell analysis of intact epithelial signaling reveals MAPK activation divergent from TNF‐α‐induced apoptosis in vivo by Alan J Simmons, Amrita Banerjee, Eliot T McKinley, Cherie' R Scurrah, Charles A Herring, Leslie S Gewin, Ryota Masuzaki, Seth J Karp, Jeffrey L Franklin, Michael J Gerdes, Jonathan M Irish, Robert J Coffey, Ken S Lau

“…Abstract Understanding heterogeneous cellular behaviors in a complex tissue requires the evaluation of signaling networks at single‐cell resolution. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

“…While deep neural networks demonstrate robust performance in visual tasks, the long-tail distribution of real-world data leads to significant recognition accuracy degradation in critical scenarios such as medical human–robot affective interaction, particularly the misidentification of low-frequency negative emotions (e.g., fear and disgust) that may trigger psychological resistance in patients. …”
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Profiling of the serum MiRNAome in pediatric egyptian patients with wilms tumor by Fatma S. Mohamed, Fatma S. Mohamed, Deena Jalal, Youssef M. Fadel, Samir F. El-Mashtoly, Wael Z. Khaled, Wael Z. Khaled, Ahmed A. Sayed, Ahmed A. Sayed, Mohamed A. Ghazy, Mohamed A. Ghazy

“…Wilms tumor (WT) is a pediatric kidney cancer associated with poor outcomes in patients with unfavorable histological features such as anaplasia. Small non-coding RNAs, such as miRNAs, are known to be involved in WT pathogenesis. …”
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A two phase ensembled deep learning approach of prominent gene extraction and disease risk prediction by Prajna Paramita DEBATA, Alakananda TRIPATHY, Pournamasi PARHI, Smruti Rekha DAS

“…According to experimental evaluation, the suggested strategy is accurate, reliable, and robust. …”
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Multimodal Deep Learning Models in Precision Agriculture: Cotton Yield Prediction Based on Unmanned Aerial Vehicle Imagery and Meteorological Data by Chunbo Jiang, Xiaoshuai Guo, Yongfu Li, Ning Lai, Lei Peng, Qinglong Geng

“…The study analyzes the impact of different neural network architectures, including the CNN feature extraction layer, the depth of the fully connected layer, and the method of integrating meteorological data, on model performance. …”
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AI-Assisted Design of Drain-Extended FinFET With Stepped Field Plate for Multi-Purpose Applications by Xiaoyun Huang, Hongyu Tang, Chenggang Xu, Yuxuan Zhu, Yan Pan, Dawei Gao, Yitao Ma, Kai Xu

“…This study introduces a novel DE-FinFET featuring a stepped field plate to improve overall performance of device. …”
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Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data by Zhenyu Qi, Jinghu Pan, Yaya Feng

“…This paper takes China’s counties as the research unit, selects the influencing factors of poverty from natural and socio-economic factors, establishes an evaluation index system, simulates the natural poverty index and socio-economic poverty eradication index of each county, and clarifies the distribution characteristics of spatial poverty using GIS spatial analysis and BP artificial neural network. …”
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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction by Christopher Nielsen, Matthias Wilms, Nils D. Forkert

“…Traditionally, machine learning predictions of biological retinal age utilize convolutional neural network (CNN) architectures and data from color fundus photography (CFP). …”
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Detectron2-enhanced mask R-CNN for precise instance segmentation of rice blast disease in Tanzania: Supporting timely intervention and data-driven severity assessment by Reuben Alfred, Judith Leo, Shubi F. Kaijage

“…Built on a ResNet-50 backbone with a Feature Pyramid Network (FPN), it achieved a mean average precision (mAP) of 89.4 %, with an AP50 of 94.6 % and an AP75 of 90.5 %. …”
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A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

“…Malware continues to evolve rapidly, posing significant challenges to network security. Traditional signature-based detection methods often struggle to cope with advanced evasion techniques such as polymorphism, metamorphism, encryption, and stealth, which are commonly employed by cybercriminals. …”
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Personnel localization method for low-visibility environments based on improved YOLOv3 by LU Xiaoya, LI Haifang

“…In coal mines, inadequate lighting and dust obstruction result in personnel targets captured by video monitoring systems appearing as small or low-visibility objects in two-dimensional images. The original YOLOv3 network's Darknet53 feature pyramid structure was insufficient for effectively extracting and preserving detailed information about these targets, leading to inaccurate localization. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Several evaluation matrices are used to evaluate the suggested model. …”
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Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology by Hyuna Cho, Feng Tong, Sungyong You, Sungyoung Jung, Won Hwa Kim, Jayoung Kim

“…Immune phenotypes were analyzed with gene expressions using traditional but powerful classification methods such as random forests, Deep Neural Networks (DNN), Support Vector Machines (SVM) together with boosting and feature selection methods. …”
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