Event-related theta synchronization over sensorimotor areas differs between younger and older adults and is related to bimanual motor control by Andreas Wulff-Abramsson, Ana Zvornik, Keenie Ayla Andersen, Yan Yang, Mikael Novén, Jesper Lundbye-Jensen, Leo Tomasevic, Anke Ninija Karabanov

“…Together, the results show that theta ERS over sensorimotor areas is a strong, age-sensitive marker of dynamic pinch force adjustments showing an age-related reduction in specificity with reduced context-dependent modulations and more imbalanced bimanual activation.…”
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A rare case of adult-onset vanishing white matter leukoencephalopathy with movement disorder, expressing homozygous EIF2B3 and PRKN pathogenic variants by Bashar Kamal Ali Douden, Yazan Mohammad Abdullah Abufara, Mahmood Fayez Ali Aldrabeeh, Naela Ramadan Mohammad Tell, Ismail Abudaya

“…Case presentation A 39-year-old male from Hebron, Palestine, presented with a 7-month history of postural instability, imbalanced gait, and progressive deterioration of his lower extremities. …”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…The two popular pre-trained DL models: ResNet18 and VGG16, were used to train the PD images using five-fold cross-validation (CV) and observed the performance using balanced, pre-augmented data (n = 476 images), imbalanced original data (n = 265) and feature extraction. …”
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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study by William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, Sai Harsha Chittimouju

“…The dataset included 10.7% (107/1000) DDEs, emphasizing the models’ robustness in an imbalanced data context. ConclusionsThis study demonstrated the effectiveness of open- and closed-source LLMs, such as GPT-4o and BART, for detecting DDEs and their root causes from publicly accessible data through zero-shot classification. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…The incorporation of Focal Tversky Loss further enhances the model's ability to handle imbalanced datasets, improving detection accuracy for rare and severe disease categories. …”
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Prediksi Mahasiswa Drop-Out Di Universitas XYZ by Tubagus Ahmad Marzuqi, Evelline Kristiani, Marcel

“…Prior to model building, the SMOTE method was applied to address the issue of imbalanced data. The results indicate that the predictive model using the Random Forest algorithm achieved an accuracy of 99.67%. …”
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Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study by Eman H. Alkhammash

“…Its superior performance is especially reflected in the macro average, where it surpasses both YOLO11n and YOLO11m, making it an effective model for datasets with imbalanced classes, such as fire classes. The YOLO11 variants achieved high performance across all classes. …”
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Correlation analysis between mild cognitive impairment and the traditional Chinese medicine body constitution types among the elderly in a community in Changning District, Shanghai by XU Lei, ZHANG Min, WANG Wenwen, YU Li, ZHU Xuting, LYU Xiaorui

“…TCM techniques can be integrated into the health management services for the elderly population, and targeted interventions can be provided to those with imbalanced constitution types so as to reduce the risk of MCI.…”
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Effect of probiotics combined with immune checkpoint suppressors and chemotherapeutic agents on digestive system function, intestinal immunity and prognosis in patients with metast... by Xiaolei Wang, Yuxia Huang, Zhen Yang, Yang Yang, Fenfen Wei, Min Yan, Fanfan Li, Chenghao Wang

“…This combination therapeutic strategy can balance the imbalanced intestinal flora, improve intestinal function, and lessen the incidence of adverse events, so it is worthy of clinical application and can lessen the incidence of adverse reactions.…”
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A Data-Driven Deep Learning Framework for Prediction of Traffic Crashes at Road Intersections by Mengxiang Wang, Wang-Chien Lee, Na Liu, Qiang Fu, Fujun Wan, Ge Yu

“…Additionally, to address the serious issues of imbalanced classes in TCP and large-scale heterogeneous big data, we propose an effective data sampling approach in data preparation to facilitate model training. …”
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An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study by Xiadong Li, Qiang Shu, Canhong Kong, Jinhu Wang, Gang Li, Xin Fang, Xiaomin Lou, Gang Yu

“…Complaints were categorized into 4 types—communication problems, diagnosis and treatment issues, management problems, and sense of responsibility concerns. The imbalanced data were balanced using the Synthetic Minority Oversampling Technique (SMOTE) algorithm to ensure equal representation across all categories. …”
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Preliminary evidence of immune infiltration and neutrophil degranulation in peripheral blood of non-obese OSA patients related to cognitive decline by Qingqing Liu, Yanru Ou, Ting Liu, Yuming He, Xiangming Quan, Ruoyun Ouyang, Zhihui Shi

“…The differentially expressed genes were identified by bioinformatic analysis and confirmed by PCR. Imbalanced immune cell proportions were assessed by Cibersort. …”
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Optimal protein requirement for rapid and coordinated test growth of juvenile sea urchin (Strongylocentrotus intermedius) by Panke Gong, Haijing Liu, Dan Gou, Weixiao Di, Huinan Zuo, Jun Ding, Yaqing Chang, Rantao Zuo

“…Rapid and coordinated test (the main part of shell) growth is crucial for maintaining the normal body shape of juvenile sea urchin (Strongylocentrotus intermedius). However, imbalanced growth of the test height (TH) and test diameter (TD) of S. intermedius frequently occurs when they are fed formulated feeds. …”
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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…Additionally, several data-sampling techniques, including oversampling, undersampling, Random Over-Sampling Examples (ROSE), and Synthetic Minority Over-sampling Technique (SMOTE), were utilized to address the issue of imbalanced data. Second, to analyze variable importance contributing to the predictive outcomes. …”
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A class imbalance aware hybrid model for accurate rice variety classification by Hanumesh Vaidya, K.V. Prasad, C. Rajashekhar, D Tripathi, Renuka S, Jyoti Shetty, Kumar Swamy, Shobha Y

“…Our model demonstrates remarkable versatility, effectively accommodating binary and multi-class scenarios while maintaining robust performance in the face of imbalanced data. As part of our contribution, we have also developed a new dataset intentionally incorporating class imbalance. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…In order to improve parameter aggregation and client selection unpredictability and increase the model’s adaptability to imbalanced and heterogeneous datasets, our proposed FedVoteNet model introduces SelectOut techniques based on voting methodology. …”
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Prediksi Tipe Kepribadian MBTI Artis K-Pop Berdasarkan Caption Instagram Menggunakan Word2Vec dan Long-Short Term Memory (LSTM) by Alfian Hakim, Satrio Hadi Wijoyo, Nanang Yudi Setiawan

“…The distribution of personality types shows that the target is not balanced, so it is necessary to handle imbalanced data, namely shifting the threshold after modeling. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…Performance comparisons among XGBoost, random forest, and logistic regression were conducted using metrics, including accuracy and receiver operating characteristic (ROC) curves. The imbalanced learning library’s SMOTE technique was used to address the sample imbalance during model training. …”
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Thioredoxin-interacting protein (TXNIP) inhibition promotes retinal ganglion cell survival and facilitates M1-like microglial transformation via the PI3K/Akt pathway in glaucoma by Junjue Chen, Huimin Zhong, Bingqiao Shen, Huan Yu, Yang Zhang, Ruiqi Han, Ping Huang, Shouyue Huang, Yisheng Zhong

“…Abstract Background Glaucoma is a group of heterogeneous neurodegenerative diseases with abnormal energy metabolism and imbalanced neuroinflammation in the retina. Thioredoxin-interacting protein (TXNIP) is involved in glucose and lipid metabolism, and associated with oxidative stress and inflammation, however, not known whether to be involved in glaucoma neuropathy and its underlying mechanisms. …”
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Efficacy of PARPi re-maintenance therapy for recurrent ovarian cancer by Yulin Wang, Yunjie Yang, Binghong Guo, Binghong Guo, Xiaoyan Li, Renakezi Tuersun, Ye Cao, Jundong Li, Jihong Liu, Su Li, Tao Liu, Yongwen Huang

“…A propensity-score matching (PSM) analysis was conducted between re-maintenance therapy group (Re-PARPi-P) and chemotherapy alone group(Chem-A-P)to adjust for imbalanced risk factors. The efficacy was evaluated via progression-free survival (PFS) and prognostic factors were also analyzed.ResultsIn the PSM subgroup, the median PFS (mPFS) of Re-PARPi-P group (44 cases) and Chem-A-P (44 cases) group were 10.0 months and 6.5 months (HR 1.64, P=0.041) respectively, confirming that re-maintenance therapy was superior to relapse chemotherapy alone. …”
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