Prediction of Lycii Cortex Quality Marker Based on Network Pharmacology and Chemometrics Methods by Xinrui Wang, Guotong Li, Haoqiang Ding, Xiqin Du, Lanying Zhang, Jingze Zhang, Dailin Liu

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AdaptiveDet: Defect Detection for Digital Printing Fabric with Complex Background by Zebin Su, Xingyi Zhang, Jiamin Li, Yunlong Shao, Pengfei Li, Huanhuan Zhang

“…The experimental results show that the proposed model performs well on the DPFD-DET dataset with mAP@.5 of 93%, which outperforms other detection models. …”
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Spatiotemporal Variation and Abrupt Change Analysis of Temperature from 1960 to 2012 in the Huang-Huai-Hai Plain, China by Yanyu Yin, Hui Liu, Xiangsheng Yi, Weidong Liu

“…Based on a monthly dataset of temperature time series (1960–2012) in the Huang-Huai-Hai Plain of China (HHHPC), spatiotemporal variation and abrupt change analysis of temperature were examined by moving average, linear regression, spline interpolation, Mann-Kendall test, and moving t-test. …”
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Comparison of Optical Coherence Tomography Angiography and Laser Speckle Flowgraphy for the Diagnosis of Normal-Tension Glaucoma by Asuka Takeyama, Kyoko Ishida, Ayako Anraku, Masahiro Ishida, Goji Tomita

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A Vibrational Signal Fault Diagnosis Rule Extraction Method Based on DST-ACI Discriminant Criterion by Yalun Zhang, Lin He, Guo Cheng

“…The results show that compared with the coding method based on equal-width discretization or equal-density discretization, the accuracy of the transactional dataset generated by the feature state coding method based on K-means clustering is higher. …”
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The complete mitochondrial genome of Ophiocordyceps gracilis and its comparison with related species by Aifeire Abuduaini, Yuan-Bing Wang, Hui-Ying Zhou, Rui-Ping Kang, Ming-Liang Ding, Yu Jiang, Fei-Ya Suo, Luo-Dong Huang

“…Based on the mitochondrial gene dataset (15 PCGs and 2 RNA genes), a close genetic relationship between O. gracilis and O. sinensis was revealed through phylogenetic analysis. …”
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A Method for Measuring Strawberry Leaf Area Based on Three-Dimensional Point Cloud Instance Segmentation by Zhipeng Li, Shusheng Wang, Yuanping Su, Dongyun Yu

“…These findings provide valuable technical support and references for greenhouse cultivation and smart agriculture applications. The source code and dataset can be accessed at <uri>https://github.com/suyangsuluo/SGC</uri>.…”
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Plant community and structural pattern analyses of Abraham Sacred Forest in Amhara Regional State, northwest Ethiopia. by Getinet Masresha Kassa, Ayenew Lisanu Teka, Getahun Tassew Melese

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Fetal Thymus Size in Pregnant Women with COVID-19 Infection by Sule Goncu Ayhan, Deniz Oluklu, Selcan Sinaci, Aysegul Atalay, Seyit Ahmet Erol, Eda Ozden Tokalioglu, Muradiye Yildirim, Ozlem Moraloglu Tekin, Dilek Sahin

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Optimization of Neurons Number in Artificial Neural Network Model for Predicting the Power Production of PV Module by Hussain Hamdi Khalaf, Ali Nasser Hussain, Zuhair S. Al-Sagar, Abdulrahman Th. Mohammad, Hilal A. Fadhil

“…Three weather parameters, including: (solar radiation, ambient temperature, and wind speed), the output electrical characteristics of the PV module (voltage, current, power), and module temperature (were measured. Therefore, the dataset of the ANN system consists of four input and one output parameter. …”
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Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption by David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee, Hyesun Kwak, Brian W. Anthony

“…Using the AI4I public predictive maintenance dataset, we demonstrate the MK-HELR algorithm, setting the stage for further research in secure, dynamic, and collaborative multi-party learning scenarios.…”
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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…The proposed model is validated on the Google Speech Command public dataset, and its performance is compared with other recently proposed deep learning models for KWS. …”
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A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture by Changlei Tian, Zhanchong Liu, Haosen Chen, Fanglong Dong, Xiaoxiang Liu, Cong Lin

“…Evaluated on the newly developed Shine-Muscat-Complex dataset of 4715 images, the proposed model achieved a 2.6% improvement in mean Average Precision (mAP) over YOLOv8n while reducing parameters by 36.8%, FLOPs by 34.1%, and inference time by 15%. …”
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Altered brain dynamics of facial emotion processing in schizophrenia: a combined EEG/fMRI study by Philippa Hüpen, Barbara Schulte Holthausen, Christina Regenbogen, Thilo Kellermann, Han-Gue Jo, Ute Habel

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Identification of Malignancy-Associated Changes in Histologically Normal Tumor-Adjacent Epithelium of Patients with HPV-Positive Oropharyngeal Cancer by James Jabalee, Anita Carraro, Tony Ng, Eitan Prisman, Cathie Garnis, Martial Guillaud

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High-Salt Intake Ameliorates Hyperglycemia and Insulin Resistance in WBN/Kob-Leprfa/fa Rats: A New Model of Type 2 Diabetes Mellitus by Yoshiichi Takagi, Taichi Sugimoto, Masaya Kobayashi, Mitsuyuki Shirai, Fumitoshi Asai

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An efficient and lightweight detection method for stranded elastic needle defects in complex industrial environments using VEE-YOLO by Qiaoqiao Xiong, Qipeng Chen, Saihong Tang, Yiting Li

“…The algorithm’s performance was evaluated using a dataset to detect stranded elastic needle defects. …”
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The Screening of Antiphospholipid Antibodies in Obstetric Antiphospholipid Syndrome-Like Events: A Regional Perspective by Onder Onen, Fusun Gulizar Varol

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Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

“…Utilising a novel dataset of infrared cocoa tree images, we demonstrate PhytNet's development and compare its performance with existing architectures. …”
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Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

“…The presented algorithm was evaluated on a dataset consisting of 17 patients, where the obtained results show that the proposed method can predict epileptic attacks with an accuracy of 88.2%. …”
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