Percutaneous Ethanol Injection in Combination with Laser Ablation for a 100 ml Partially Cystic Thyroid Nodule by Roberto Negro, Gabriele Greco

“…The combination of these two procedures allowed firstly complete disappearance of the cystic component and secondly a significant reduction of thyroid nodule, which finally measured 17 ml in volume (82% reduction compared to baseline). …”
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Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis by Xiaoming Xu, Chenglin Wen

“…Furthermore, the simulation experiments based on Tennessee Eastman process and Wine datasets demonstrate the feasibility and effectiveness of the new method.…”
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Risk Assessment of BRONJ in Oncologic Patients Treated with Bisphosphonates: Follow-Up to 18 Months by Scilla Sparabombe, Lucia Vitali, Alessandra Nori, Ricarda Sara Berlin, Marta Mazur, Giovanna Orsini, Angelo Putignano

“…The aim of the study is to monitor the BRONJ level of risk health in patients with cancer, according to a preventive clinical protocol, which is firstly aimed at reducing risk factors such as the periodontal infections. …”
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Damages of Underground Facilities in Coal Mines due to Gas Explosion Shock Waves: An Overview by Dezhi Ran, Jianwei Cheng, Rui Zhang, Yu Wang, Yuhang Wu

“…Research results provide a baseline for judgments of hazard effects by explosions. …”
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Modeling the Impacts of Boreal Deforestation on the Near-Surface Temperature in European Russia by Zhihui Li, Xiangzheng Deng, Qingling Shi, Xinli Ke, Yingcheng Liu

“…Then the land cover datasets in different years (2000 as baseline year, 2010, and 2100) was used in the WRF model to explore the impacts of boreal deforestation on the near-surface temperature. …”
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Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…The simulation results show that the proposed optimization scheme outperforms existing baseline methods, effectively meeting the dynamic priority requirements of tasks in BAN and reducing the energy consumption as well as the average delay required for task completion.…”
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Improved Extended Multiplicative Scatter Correction Algorithm Applied in Blood Glucose Noninvasive Measurement with FT-IR Spectroscopy by Qingbo Li, Qishuo Gao, Guangjun Zhang

“…Im-EMSC can efficiently remove most of the pathlength difference and baseline shift influences. Firstly, Im-EMSC is used as a preprocessing method, and then partial least squares (PLS) regression method is adopted to establish a quantitative analysis model. …”
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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

“…When evaluated based on the tomato leaf disease dataset, the precision (P) of the model was 92.5%, and the average precision (AP) and the mean average precision (mAP) were 95.1% and 86.4%, respectively, which were 3%, 1.7%, and 1.4% higher than the P, AP, and mAP of YOLOv9, the baseline model, respectively. The proposed detection method had good detection performance and detection potential, which will provide strong support for the development of smart agriculture and disease control.…”
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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

“…The improved YOLOv8 model improves the P, R, mAP50, and MAP50-95 indicators by 2.4%, 2.1%, 1%, and 1.3%, respectively, compared with the baseline model on only one generalized “fruit” label dataset. …”
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p-Norm Broad Learning for Negative Emotion Classification in Social Networks by Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

“…Specifically, there are mainly three contributions in this paper. Firstly, we fine-tune the RoBERTa to adapt it to the task of negative emotion classification. …”
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Seroprevalence and Risk Factors Associated with Hepatitis E Virus Infection in Three Species of Pet Birds in Northwest China by Wei Cong, Qing-Feng Meng, Xiao-Feng Shan, Wu-Wen Sun, Si-Yuan Qin, Xiao-Xuan Zhang, Si-Yang Huang, Ai-Dong Qian

“…Age and collecting region of pet birds were the main risk factors associated with HEV infection. The present study firstly revealed the seroprevalence of HEV infection in three species of pet birds in northwest China, which provided the baseline data for taking comprehensive countermeasures and measures for effectively preventing and controlling HEV infection in birds.…”
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Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…We use Sparse R-CNN as the baseline and integrate MSA and CAE into it. Experiments on the CDetector dataset achieved an Average Precision (AP) of 65.3%, outperforming the state-of-the-art (SOTA) methods.…”
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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

“…However, two main limitations hinder using them in a real environment. Firstly, most solutions are trained using a supervised approach, which is impractical in the real industrial world. …”
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Application of a Plug-and-Play Immunogenicity Assay in Cynomolgus Monkey Serum for ADCs at Early Stages of Drug Development by Montserrat Carrasco-Triguero, Helen Davis, Yuda Zhu, Daniel Coleman, Denise Nazzal, Paul Vu, Surinder Kaur

“…Secondly, we propose a cut point methodology based on animal specific baseline variability instead of a population data approach. …”
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Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

“…Combining the Tennessee Eastman (TE) process and the continuously stirred tank reactor (CSTR) process, the feasibility and effectiveness of the model are verified. …”
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A Lightweight Anti-Unmanned Aerial Vehicle Detection Method Based on Improved YOLOv11 by Yunlong Gao, Yibing Xin, Huan Yang, Yongjuan Wang

“…This paper focuses on the challenges of long-distance UAV identification and proposes a lightweight anti-UAV detection method based on improved YOLOv11. Firstly, HWD is imported as the backbone’s downsampling module, which lowers feature loss in the feature extraction procedure while using fewer parameters. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…We conducted extensive experiments on five real-world traffic datasets, and the experimental results show that the performance of IEDSFAN is significantly better than all baselines.…”
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Dynamic Warping Network for Semantic Video Segmentation by Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

“…Extensive experiments show that our DWNet can achieve consistent improvement over various strong baselines and achieves state-of-the-art accuracy on the Cityscapes and CamVid benchmark datasets.…”
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Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network by Guixian Xu, Zhe Chen, Zixin Zhang

“…The performance evaluation of this method is carried out on five user comment text datasets, and the comprehensive ablation experiments prove that this method performs best compared with baseline models.…”
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YOLOV9-CBM: An Improved Fire Detection Algorithm Based on YOLOV9 by Xin Geng, Xiao Han, Xianghong Cao, Yixuan Su, Dongxue Shu

“…Regarding the current problems of false alarms and missed detections in fire detection, we propose a high-precision fire detection algorithm, YOLOV9-CBM (C3-SE, BiFPN, MPDIoU), by optimizing YOLOV9. Firstly, to tackle the shortage of both quality and quantity in the existing fire datasets, we collected 2,000 fire and smoke images to establish a dataset named CBM-Fire. …”
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