Improved RPCA Method via Fractional Function-Based Structure and Its Application by Yong-Ke Pan, Shuang Peng

“…This improvement is achieved primarily by introducing the approximate zero norm based on the fractional function structure and by adding weighted kernel parametrization and penalty terms to enhance the model’s capability in handling complex matrices. …”
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Radiomics prediction of MGMT promoter methylation in adult diffuse gliomas: a combination of structural MRI, DCE, and DTI by Yuying Liu, Yuying Liu, Zhengyang Zhu, Jianan Zhou, Han Wang, Huiquan Yang, Jinfeng Yin, Yitong Wang, Xin Li, Futao Chen, Qian Li, Zhuoru Jiang, Xi Wu, Danni Ge, Yi Zhang, Xin Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang, Bing Zhang

“…The chi-square test and independent samples t-test were used for assessing the statistical differences in patients’ clinical characteristics.ResultsOn the training dataset, the model structural MRI + DCE achieved the highest AUC of 0.906. On the test dataset, the model structural MRI + DCE + DTI achieved the highest AUC of 0.868, outperforming two radiologists.ConclusionThe radiomics models have obtained promising performance in predicting MGMT promoter methylation status. …”
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Applying an Ecology Metaphor in a Mixed Methods Analysis of High School Science Program Infrastructure by Niyazi Erdogan, Carol L. Stuessy

“…The science program layer links administration with classrooms by employing efficient, equitable, and effective practices to advance the goals of science achievement and college readiness established at national and state levels for all high school graduates.…”
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Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment. by Hyeonbin Ji, Ingeun Hwang, Junghwon Kim, Suan Lee, Wookey Lee

“…The optimal cluster count, identified as three, achieved the highest Silhouette Score. Statistical analysis using one-way ANOVA confirmed the significance of these findings with a p-value of 5.3213 × e-6, well within the 5% significance threshold. …”
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Fault Diagnosis of Bearings with Adjusted Vibration Spectrum Images by Mingquan Qiu, Wei Li, Zhencai Zhu, Fan Jiang, Gongbo Zhou

“…All experiment results have demonstrated that the proposed method could achieve high classification accuracy even with very limited training samples.…”
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Bilateral chemogenetic activation of intratelencephalic neurons in motor cortex reduces spontaneous locomotor activity in mice by Mihai Atudorei, Christian del Agua Villa, Ulrik Gether, Maria Angela Cenci, Hartwig Roman Siebner, Mattias Rickhag

“…Intratelencephalic neurons are a crucial class of cortical principal neurons that heavily innervate the striatum and cortical areas bilaterally. …”
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Dressed Up to the Nines: The Interplay of Phytohormones Signaling and Redox Metabolism During Plant Response to Drought by Douglas Jardim-Messeder, Ygor de Souza-Vieira, Gilberto Sachetto-Martins

“…Plants must effectively respond to various environmental stimuli to achieve optimal growth. This is especially relevant in the context of climate change, where drought emerges as a major factor globally impacting crops and limiting overall yield potential. …”
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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

“…We aim to refine DTI prediction accuracy by eliminating redundant features and capitalizing on the node topological structure to enhance feature extraction. To achieve this, we introduce a PCA-augmented multi-layer heterogeneous graph-based network that concentrates on key features throughout the encoding-decoding phase. …”
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Factors affecting reorientation of hydraulically induced fracture during fracturing with oriented perforations in shale gas reservoirs by Qing-Chao Li, Liang Zhou, Zhi-Min Li, Zhen-Hua Liu, Yong Fang, Lei Zhao, Ying Han

“…Moreover, the investigation results also show that perforation azimuth and difference between two horizontal principal stresses are the two most important factors affecting fracture reorientation. …”
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A dynamic system interpretation of irreducible complexity by Abraham Boyarsky, Pawel Góra

“…Such behavior suggests that selective evolution by means of small perturbations may not be a general mechanism for achieving the dynamical behavior of a complex system.…”
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Unmasking the Diversionary Global Imperial Designs in the Invasion of Libya in 2011, ten years on, and counting by Chidochashe Nyere

“… In this article, I analyse the machinations of Western modernity that were manifested in the 2011 Arab Spring protests in Libya. The principal objective of the paper is three-pronged. …”
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Patentometric Analysis of AI Based Structural Health Monitoring by Desai Pradnya, Sandbhor Sayali, Kaushik Amit Kant, Patil Ajit, Dabir Vaishnavi

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Robust Spike Sorting Using Dual Tree Complex Wavelet Transform: Overcoming Traditional Limitations by Gorkem Serbes

“…Results demonstrated that the DT-CWT-based feature extraction achieved significantly lower average error rates across all subsets, especially in challenging conditions with high noise and similar waveforms. …”
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Assessing the Factors Influencing Attrition of Health Workers in Government Health Units in Lyantonde District, Uganda. by Kansiime, Benon

“…Frequencies, percentages, means, standard deviations and correlations were used to achieve the objectives. Thematic analysis was used to analyse the qualitative data. …”
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A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen

“…The analysis result confirms that the proposed method is able to achieve a better performance, which outperforms some existing methods.…”
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Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique by Karan Kumar, Shweta Agrawal, Isha Suwalka, Celestine Iwendi, Cresantus N. Biamba

“…The approach integrates the Adaptive Moving Self-Organizing Map (AMSOM), a neural network technique for unsupervised training and tissue segmentation, with K-means clustering and Principal Component Analysis (PCA) for feature selection. …”
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Scutellarin inhibits pyroptosis via selective autophagy degradation of p30/GSDMD and suppression of ASC oligomerization by Danyue Li, Weilv Xu, Suhui He, Xinyue Li, Yumeng Wang, Qian Lv, Nan Chen, Lu Dong, Feng Guo, Fushan Shi

“…The inhibitory effect is achieved by thwarting apoptosis-associated speck-like protein containing CARD (ASC) oligomerization and inducing the ubiquitin-dependent selective autophagy of p30/GSDMD. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…The experimental results demonstrated that the proposed method achieves a classification accuracy of 92.76 ± 1.64% across the five-category classification task for epileptic EEG signals. …”
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An Integrated SVM-LSTM Method for VPP Resource Classification and Load Forecasting in Real-time Market Trading by He Zhao, Yucheng Hou, Zhifa Lin, Xin Cao, Xiao Yu

“…The model is optimized using adaptive synthetic sampling, principal component analysis, and deep clustering algorithms. …”
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Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera by Yibing Chen, Songxiao Cao, Qixuan Wang, Zhipeng Xu, Tao Song, Qing Jiang

“…The results showed that the proposed method achieved a recognition rate of 99.02%, processing time of 2 s, pose error rate of 1.31%, and spatial position error of 3.278 mm, significantly outperforming the comparative methods. …”
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