Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction by Guangzhong Huang, Wenping Lei, Xinmin Dong, Dongliang Zou, Shijin Chen, Xing Dong

“…This paper presents a model that combines correlation analysis feature extraction with a Graph Neural Network (GNN)-based approach for bearing degradation stage classification and RUL prediction, aiming to achieve accurate bearing life prediction. First, the proposed Pearson–Spearman correlation metric, along with Kernel Principal Component Analysis (KPCA) and autoencoders, is used to group and fuse health indicators (HIs), thereby obtaining a health indicator (HI) that effectively reflects the bearing degradation process. …”
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Developing Intercultural Communication and Cultural Intelligence through Intercultural Musical Contacts by Montassir Hmala

“…It explores the crucial role that music can play in developing and strengthening intercultural communication (IC) and cultural intelligence (CI), specifically in intercultural educational contexts. To achieve this and drawing on Allport’s (1956) Contact Hypothesis Theory (CHT) and Bennett’s (1953) Developmental Model of Intercultural Sensitivity (DMIS), a qualitative research design was chosen, with focus group discussions; involving participating students, and semi -structured interviews with three teachers and the high school principal as the main techniques for data collection. …”
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Dose-Dependent Differentiation of Gamma-Irradiated Hazelnut Samples by Mid-Infrared Spectroscopy Coupled with Chemometrics by Ayca Dogan, Mete Severcan, Feride Severcan

“…Furthermore, dose-dependent discrimination was also achieved. In conclusion, FTIR spectroscopy combined with multivariate statistical analysis has potential for the development of a reliable and fast methodology for separation of high-dose irradiated food samples.…”
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Method of Depression Classification Based on Behavioral and Physiological Signals of Eye Movement by Mi Li, Lei Cao, Qian Zhai, Peng Li, Sa Liu, Richeng Li, Lei Feng, Gang Wang, Bin Hu, Shengfu Lu

“…Then, in order to eliminate noise and redundant information and obtain better classification features, statistical methods (FDR corrected t-test) and principal component analysis (PCA) are used to select features of eye movement behavior and physiological signals. …”
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Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability by Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees

“…Leveraging the CIC Truth Seeker Dataset 2023, we applied SHAP for feature selection and interpretability, ensuring transparency in the model’s predictions. Our methodology achieved a remarkable accuracy of 99.9% using a Random Forest classifier, showcasing the efficacy of this optimized hybrid approach. …”
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An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics by Lixiang Duan, Fei Zhao, Jinjiang Wang, Ning Wang, Jiwang Zhang

“…The results prove that the proposed method reflects the bearing degradation process clearly and achieves a good balance between model accuracy and complexity.…”
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Classification of Different Blueberry Cultivars by Analysis of Physical Factors, Chemical and Nutritional Ingredients, and Antioxidant Capacities by Juan Song, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Si-Zhan Wu, Lu Xu

“…As a result, OVO-PLSDA with 8 quality factors could achieve the classification accuracy of 0.915. This study will provide new insights into the quality variations and key factors among different blueberry cultivars.…”
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Molecular caracterization of a corn core collection–landraces subgroup by Ronaldo Rodrigues Coimbra, Glauco Vieira Miranda, Newton Portilho Carneiro, Cláudia Teixeira Guimarães, Derly José Henriques da Silva, Elainy Cristina Alves Martins Oliveira

“…The efficient use of genetic resources- stored in germplasm collections can be maximized if morphoagronomic and molecular information on the accessions is made available. To achieve this, a collection that is well-structured, well-curated and easily accessible (the core collection) is required. …”
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Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model by Hui Chen, Shenghua Xiong, Xuan Ren

“…In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression) model. …”
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Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis by Lingchao HE, Dong LIN, Xinxin FENG

“…Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-term traffic flow prediction method based on the adaptive rank dynamic tensor analysis was proposed.Firstly,a four dimensional tensor consisted of week,day,time and space was constructed,which could excavate the multimodal correlation of traffic flow data.Secondly,tensor flow data with dynamic structure was formed by using sliding window model.The principal component analysis (PCA) algorithm was extended to an offline tensor analysis algorithm that could accept tensor input.Then the adaptive rank and the forgetting factor were introduced to generate an adaptive rank dynamic tensor analysis algorithm.Finally,the tensor stream data was inputted into the adaptive rank dynamic tensor analysis algorithm to realize the short-term traffic flow prediction.The experimental results show that a good prediction can be achieved even with data missing.…”
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Failure Mechanism and Stability Control of Surrounding Rock of Docking Roadway under Multiple Dynamic Pressures in Extrathick Coal Seam by Xiangye Wu, Shuai Wang, Chen Tian, Changxing Ji, Jingya Wang

“…The purpose of the smooth connection of working face and rapid and safe withdrawal of equipment is achieved on site.…”
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Generalisation of EEG-Based Pain Biomarker Classification for Predicting Central Neuropathic Pain in Subacute Spinal Cord Injury by Keri Anderson, Sebastian Stein, Ho Suen, Mariel Purcell, Maurizio Belci, Euan McCaughey, Ronali McLean, Aye Khine, Aleksandra Vuckovic

“…<b>Results:</b> Training and testing of individual datasets achieved classification accuracies of >80% using either feature set, and classification of joint datasets (A and B) achieved a maximum accuracy of 86.4% (HFD, support vector machine (SVM)). …”
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What Happens After the Court of Justice Has Given its Ruling? Promises and Pitfalls of Strategic Litigation Against Internal Border Controls in EU Law by Stefan Salomon

“…This Article inquires into the aftermath of judgments by the CJEU under the preliminary ruling procedure under article 267 TFEU in cases of strategic litigation. As the principal objective of strategic litigants is to effectively achieve broader societal, political, economic, or legal change, the afterlife of a judgment is crucial for them. …”
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Penjaminan mutu pendidikan dalam perspektif zonasi mutu by Irwan Fathurrochman

“…The policy of this system cannot be denied that students who have achieved things are undervalued because they do not have the opportunity to study at the school of their choice. …”
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Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models by Nhat-Duc Hoang

“…The Gabor filter supported by principal component analysis and k-means clustering is used for identifying the region of interest within an image sample. …”
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The impact of consultants’ power dynamics on clients’ self-efficacy and managerial stress by Rotem Lachmi, Batia Ben-Hador, Yael Brender-Ilan

“…Power bases in management are crucial for leaders to effectively influence their teams and achieve organizational goals. Management consultants leverage various power bases, particularly Expert and Referent power, to influence client organizations and drive change. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…The study’s experimental results demonstrate that applying Principal Component Analysis (PCA) to preprocess the data, followed by training a Random Forest (RF) model with 80% of the dataset, achieves an impressive accuracy of 89.86%. …”
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Variation in the Adsorption of Lead(II) by a Range of Electrolytic Manganese Dioxides: Chemometric Examination of Correlation with Physical Properties by Madhav P. Dahal, Geoffrey A. Lawrance, Marcel Maeder

“…A qualitative understanding of the relationship between the isotherms and the physical properties can be achieved. Adsorption of lead on partially chemically reduced EMD samples falls as the degree of reduction increases, associated with a drop in available hydrolysable surface groups with increasing degree of reduction.…”
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Passive Control of Attachment in Legged Space Robots by Alessandro Gasparetto, Renato Vidoni, Tobias Seidl

“…The simulator results confirm the principal functionality of our concept.…”
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Computer-Assisted Optimization of the Acetabular Rotation in Periacetabular Osteotomy Using Patient’s Anatomy-Specific Finite Element Analysis by Sung-Jae Park, Sung-Jae Lee, Wen-Ming Chen, Jung-Hong Park, Yong-Soo Cho, Taejin Shin, Soon-Yong Kwon

“…It is suggested that rotation in the coronal plane of the osteotomized acetabulum is one of the primary surgical parameters to achieve the optimal clinical outcome for a given patient.…”
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