An integrated predictive model for Alzheimer’s disease progression from cognitively normal subjects using generated MRI and interpretable AI by Atefe Aghaei, Mohsen Ebrahimi Moghaddam

“…In this study, we propose an integrated framework that leverages ensemble transfer learning, generative modeling, and automatic ROI extraction techniques to predict the progression of Alzheimer’s disease from cognitively normal (CN) subjects. …”
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Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

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Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection by Zhen Gao, Xiaowen Chen, Jingning Xu, Rongjie Yu, Heng Zhang, Jinqiu Yang

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Pharmacokinetics and brain tissue distribution of Gastrodia elata extract in normal and cerebral ischemic rats: a comparative study by Ji Shao, Qi Xu, Yunyun Luo, Ting Dong, Xue Han, Bilian Chen, Huazhong Ying, Cuifen Fang, Qiaojuan Shi

“…ObjectiveThis study systematically investigated the pharmacokinetic characteristics, cerebral distribution, and metabolic transformation of Gastrodia elata components in both healthy and cerebral ischemia rat models.MethodsChemical profiling of Gastrodia elata was conducted using UPLC-Q-TOF-MS. …”
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A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model by Wangping Li, Wanchang Zhang, Zhihong Li, Yu Wang, Hao Chen, Huiran Gao, Zhaoye Zhou, Junming Hao, Chuanhua Li, Xiaodong Wu

Subjects: “…Maximum entropy model…”
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A Dedispersion Transform Method for Extracting the Normal Modes of a Shallow Water Acoustic Signal in the Pekeris Waveguide by Guang-Bing YANG, Lian-Gang LÜ, Da-Zhi GAO, Ying JIANG, Hong-Ning LIU

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Cue prompt adapting model for relation extraction by Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin

“…However, existing prompt-tuning models cannot perceive named entities of a relation instance because they are normally implemented on raw input that is too weak to encode the contextual features and semantic dependencies of a relation instance. …”
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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

“…The algorithm first extracts the edge points of the model and then utilizes domain normal vectors to extract the overall feature points of the model. …”
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Diffusion probabilistic model for Tibetan painted sketch extraction by Fubo Wang, Shengling Geng, Zeyu Jia, Mingcong Dang

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Research on Arc Fault Detection Based on Conditional Batch Normalization Convolutional Neural Network with Cost-Sensitive Multi-Feature Extraction by Xin Ning, Tianli Ding, Hongwei Zhu

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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics by Jinghong Pei BD, Jing Yu BD, Ping Ge BD, Liman Bao BD, Haowen Pang MS, Huaiwen Zhang MS

“…This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. …”
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Evaluation of parameters extracted from tissue residue functions in dynamic susceptibility contrast MRI: Healthy volunteers examined during normal breathing and spontaneous hyperve... by Ronnie Wirestam, Arthur Chakwizira, Peter Reinstrup

“…The established mean transit time (MTT) estimate was supplemented by biophysical modelling for extraction of the oxygen extraction capacity, quantified in terms of an apparent oxygen extraction fraction (AOEF) index. …”
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Metabolic effects of nettle extract in diabetes mellitus by T. V. Yakimova, O. N. Nasanova, M. V. Meleshko, V. N. Burkova

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An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

“…An improved Gaussian mixture model (GMM) is proposed in this paper to normalize nonlinear and nonstationary frequency data, enabling effective structural damage detection under variable environmental conditions. …”
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Comparative Evaluation of Hypoglycemic Activity of <i>Cucumis sativus</i> and <i>Cucurbita pepo</i> Whole Plant Extracts in Normal and Streptozotocin-Induced Diabetic Rats by Vikas Gautam, Anand Murari Saxena

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A Stereo Disparity Map Refinement Method Without Training Based on Monocular Segmentation and Surface Normal by Haoxuan Sun, Taoyang Wang

“…However, there is a lack of real-world large datasets and large-scale models in the domain. Inspired by recent advances in the foundation model for image segmentation, we explore the RANSAC disparity refinement based on zero-shot monocular surface normal prediction and SAM segmentation masks, which combine stereo matching models and advanced monocular large-scale vision models. …”
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Using the Ship-Gram Model for Japanese Keyword Extraction Based on News Reports by Miao Teng

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Impact of Black Garlic extract on cardio-renal protection in hypertensive animal models by Patonah Hasimun, Hendra Mahakam Putra, Fitriani Choerunnisa

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Evaluation of the anti-arthritic activity of Cinnamomum cassia bark extract in experimental models by Himanshu Sharma, Prerna Chauhan, Surender Singh

“…Objective: The present study aimed to assess the anti-arthritic activity of C. cassia bark hydroalcoholic extract (CCHE) in different arthritic animal models. …”
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Shallot-Peel Extract Supplementation Increases Glutathione Levels in Gastritis Rat Model by Zahrah Febianti, Bagas Wahyu Utama, Adelia Handoko

“…This study aimed to analyze the effect of shallot peel extract supplementation on gastric glutathione (GSH) levels in gastritis rats model. …”
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