Evaluating the Antiparkinsonian activity of Tamarix gallica extract in a reserpine-induced rat model of Parkinsonism: behavioral and neurochemical assessments by Savankumar Chhatrola, Pravin Tirgar

“…Levodopa and extract of TG and nanosuspension of extract of TG as well as in combination normalized the behavioral, biochemical and histopathological complications. …”
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Anti-neuroinflammatory and neuroprotective potential of Cissus tuberosa ethanol extract in Parkinson's disease model through the modulation of neuroinflammatory markers. by Malik Saadullah, Amna Sehar, Zunera Chauhdary, Rida Siddique, Hafsa Tariq, Muhammad Asif, Shazia Anwer Bukhari, Aisha Sethi

“…The study seeks to determine the neuroprotective effects of C. tuberosa ethanolic extract (CTE) against Parkinson's disease by evaluating its impact on motor dysfunction, cognitive deficits, neuroinflammation, and neurodegeneration in paraquat-induced Parkinson's disease models. …”
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EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models by B. R. Nayana, M. N. Pavithra, S. Chaitra, T. N. Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal

“…Firstly, a conventional machine learning model was developed post-pre-processing, and feature extraction from the power spectral density was done using a Random Forest classifier. …”
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X-Band Metasurface EM Wave Absorber using SRR and Stripline: Model, Design and Implementation by Budi Syihabuddin, Mohammad Ridwan Effendi, Achmad Munir

“…The model of the metasurface was constructed with a split ring resonator (SSR) and a stripline and it was designed with a single unit cell, whereby the results were approached with transmission line theory for patch impedance extraction. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…ObjectiveThis study aimed to develop and evaluate an algorithm that uses large language models (LLMs) to extract information from Japanese lung cancer radiology reports and perform clustering analysis. …”
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The ameliorative effects of honeysuckle extract and its major component luteolin on autism-like behaviors in the NDE1 deficiency model by Qi Zhang, Shenglan Gou, Jia Lin, Yinglan Zhang, Qiang Li

“…Molecularly, honeysuckle extract normalized IL6 levels, and luteolin reduced IL1β overexpression; their effects on brain inflammation in the NDE1-deficient autism model differed. …”
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Power Wavelet Cepstral Coefficients (PWCC): An Accurate Auditory Model-Based Feature Extraction Method for Robust Speaker Recognition by Youssef Zouhir, Mohamed Zarka, Kais Ouni, Lilia El Amraoui

“…Using a “Gaussian Mixture Model-Universal Background Model” (GMM-UBM) classifier, the PWCC method demonstrated superior SR accuracy in noisy environments compared to traditional methods such as PNCC and MFCC. …”
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An Internet-of-Things-Integrated Deep Learning Model for Fault Diagnosis in Industrial Rotating Machines by Tuan M. Le, Hieu M. Tran, Ke Wang, Hung V. Pham, Son V. T. Dao

“…This study proposed a method for fault diagnosis using Continuous Wavelet Transform (CWT) for extracting vibration signals into RGB (Red – Green - Blue) images and using Convolutional Neural Network (CNN) models for fault diagnosis. …”
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An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection by Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang

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Hypoglycemic effects of naturally processed Polygonum multiflorum extract in KK CgAy/J mice and its mechanism of action by Wenping Tang, Jianfeng Zhan, Shiming Li, Yue Liu, Chi-Tang Ho

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Visualization OPLS class models of GC-MS-based metabolomics data for identifying agarwood essential oil extracted by hydro-distillation by Si-Zhu Qian, Yong-Mei Jiang, Qiao-Ling Yan, De-Huai Wu, Wen-Xian Zhang, Jen-Ping Chung

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Effect of the combination of deferiprone with ethanolic extract of Phaleria macrocarpa L. fruit in overcoming iron excess in the liver of hemosiderosis model rats by Rahma, Ari Estuningtyas, Kusmardi, Erni Hernawati Poerwaningsih

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Elephantopus scaber L. Ethanolic Leaves Extract Modulates IL-2 Production and T-Lymphocyte Activation in Pulmonary Fibrosis Mice Model by Fathiyah Nurul Izzah, Yuyun Ika Christina, Dinia Rizqi Dwijayanti, Muhaimin Rifa'i, Muhammad Sasmito Djati

“…This study aimed to investigate the effect of Elephantopus scaber L. Ethanol Extract (ESEE) treatment on the relative number of IL-2 cytokine and lymphocyte activation in bleomycin (BLM)-induced pulmonary fibrosis mice model. …”
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Study on user behavior profiling in insider threat detection by Yuanbo GUO, Chunhui LIU, Jing KONG, Yifeng WANG

“…Behavior profiling technic using no-labeled historical data to build normal behavior model is an effective way to detect insider attackers. …”
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License Plate Recognition Under the Dual Challenges of Sand and Light: Dataset Construction and Model Optimization by Zihao Wang, Yining Yang, Panxiong Yang, Xiaoge Zhang, Jiaming Li, Yanling Sun, Li Ma, Dong Cui

“…By introducing Batch Normalization (BN) layers, the model achieves greater training stability and generalization in complex environments. …”
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Protective Effects Of Tecomella Undulata Stem Bark Extract On Isoniazid Induced Hepatotoxicity: Based On Liver Enzymes And Histopathology In Rat Model by Zubaida Umar Zehri, Shabih Zehra, Abdul Lateef Mahesar, M. Anwar, Syed Ijaz Hussain Zaidi, M. Ashraf

“… Objective: To evaluate the hepatoprotective effects of Tecomellaundulata stem bark extract on isoniazid induced hepatic damage based on liver enzymes and Liver function test in rat models. …”
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A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer by Hisham Allahem, Sameh Abd El-Ghany, A. A. Abd El-Aziz, Bader Aldughayfiq, Menwa Alshammeri, Malak Alamri

“…The BTM dataset was preprocessed using resizing and normalization methods to ensure consistent input. Subsequently, our innovative model was compared against traditional classifiers, showcasing impressive performance metrics. …”
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Pain Level Classification Using Eye-Tracking Metrics and Machine Learning Models by Oussama El Othmani, Sami Naouali

“…Multiple machine learning models, including Random Forest, SVM, MLP, XGBoost, and NGBoost, are trained on the extracted features. …”
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Characteristics of contact force for normal collision of rubber sphere with rigid plate by Yaoyao Wang, Zhuhui Luo, Han Wang, Xisheng Zhou, Hu Wang, Shilu Chen

“…Through image processing, these parameters are extracted. To complement the experimental data, an equivalent finite element model is constructed by using LS-DYNA. …”
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NAILS: Normalized Artificial Intelligence Labeling Sensor for Self-Care Health by Livio Tenze, Enrique Canessa

“…The NAILS leverages a pre-trained Convolutional Neural Network model to segment and label fingernail regions from fingernail images, normalizing RGB values to monitor tiny color changes via a GUI and the use of an HD webcam in real time. …”
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