Collaborative Superpixelwised PCA for Hyperspectral Image Classification by Chao Yao, Junrui Gu, Zehua Guo, Miao Ma, Qingrui Guo, Gong Cheng

“…Extracting spectral-spatial features from Hyperspectral imagery (HSI) has been proven to be efficient for classification tasks. A recently developed superpixelwised principal component analysis (PCA) (SuperPCA), which has shown its promising performance, is a prominent technique in spectral–spatial feature extraction. …”
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Distinguishing Rock Fracture and Pore's T2 Signals From NMR Experiments With Assisted X‐Ray CT Imaging by Ying Yang, Limin Li, Tingjun Wen, Luyi W. Shen, Elton J. Chen, Xu Dong, Jiangen Xu

“…This workflow extracts fracture distributions from T2 spectra and establishes a correlation between pore radius (r) and T2, enabling subsequent applications in core analysis and NMR logging. The method improves differentiation between fractures and matrix pores, enhances the interpretation of NMR data, and can be adapted to heterogeneous reservoir systems.…”
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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

“…Based on the extracted temporal difference data, we further develop a temporal differences-guided dynamic routing optimization module (T-DROM) to extract multiscale motion information. …”
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Evaluating the effectiveness of the Drink Less smartphone app for reducing alcohol consumption compared with usual digital care: a comprehensive synopsis from a 6-month follow-up R... by Claire Garnett, Melissa Oldham, Gemma Loebenberg, Larisa Dinu, Emma Beard, Colin Angus, Robyn Burton, Matt Field, Felix Greaves, Matthew Hickman, Eileen Kaner, Susan Michie, Marcus Munafò, Elena Pizzo, Jamie Brown

“…Results from the pre-registered sensitivity analysis of multiple imputation were inconsistent with those from the pre-registered primary analysis (a conservative approach to missing data where non-responders were assumed to be drinking at baseline levels), which found a non-significant weekly reduction of 0.98 units (95% confidence interval −2.67 to 0.70) in the intervention compared with comparator group. …”
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Deep learning feature-based model for predicting lymphovascular invasion in urothelial carcinoma of bladder using CT images by Bangxin Xiao, Yang Lv, Canjie Peng, Zongjie Wei, Qiao Xv, Fajin Lv, Qing Jiang, Huayun Liu, Feng Li, Yingjie Xv, Quanhao He, Mingzhao Xiao

“…The combined model showed an AUC of 0.794 in the validation set and 0.767 in the testing set, demonstrating robust performance across diverse data. Conclusion We developed a robust radiomics model based on deep learning features from CT images to preoperatively predict lymphovascular invasion status in urothelial carcinoma of the bladder. …”
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Diagrammatic prevalence index: a new algorithm to evaluate pine wilt disease prevalence at the sub-compartment scale by Yanjun Zhang, Yanjun Zhang, Siyuan Zheng, Jinjuan Bai, Jiafu Hu, Yongjun Wang, Yongjun Wang

“…The algorithm utilizes data on the information of PWD-infected trees and sub-compartments to develop a diagrammatic scale (DS) and diagrammatic prevalence index (DPI). …”
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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

“…The core methodology, Spatio-Temporal Slope Feature Extraction (STSFE), transforms irregular time-series data into slope-, area-, and volume-based representations, capturing both temporal dynamics and spatial correlations. …”
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Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer by Zihao Bai, Hao Wang, Jingru Han, Jia An, Zhaocong Yang, Xuming Mo

“…A machine learning model was developed to create the Gastric Cancer Multi-Omics Programmed Cell Death Signature (GMPS), targeting PCD-related genes. …”
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A student academic performance prediction model based on the interval belief rule base by Wenkai Zhou, Yunsong Li, Jiaxing Li, Tianhao Zhang, Xiping Duan, Ning Ma, Yuhe Wang

“…Abstract Student performance prediction (SPP) constitutes one of the pivotal tasks in educational data analysis. Outcomes from the prediction enables educators to implement targeted interventions for students. …”
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Reference Value of Impulse Oscillometry in Taiwanese Preschool Children by Shen-Hao Lai, Tsung-Chieh Yao, Sui-Ling Liao, Ming-Han Tsai, Men-Chin Hua, Kuo-Wei Yeh, Jing-Long Huang

“…Conclusion: This study provided reference values for several variables of the impulse oscillometry measurements in healthy Taiwanese children aged 2–6 years. With these reference data, clinical application of impulse oscillometry would be expedient in diagnosing respiratory diseases in preschool children.…”
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Social mobility and health gain: the combined effects of material conditions, psychological support, and social capital by Lu Zhang, Hai Gu, Huiying Chen, Qinglin Xu, Zi Lin, Yang Yi

“…RationaleResearch on how social mobility impacts health has primarily focused on developed countries or regions, with a notable absence of in-depth examination into the underlying mechanisms responsible for these influences.ObjectiveThis paper utilizes data from the 2021 Chinese General Social Survey to focus on the health effects of social mobility in China and the underlying mechanisms behind these effects.MethodsWe employed an ordered logistic regression model as the baseline to test the health effects of social mobility. …”
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Wildfires drive multi-year water quality degradation over the western United States by Carli P. Brucker, Ben Livneh, Fernando L. Rosario-Ortiz, Fangfang Yao, A. Park Williams, William C. Becker, Stephanie K. Kampf, Balaji Rajagopalan

“…However, regional-scale assessments of these impacts are often limited by data scarcity. Here, we unify observations from 1984–2021 in 245 burned watersheds across the western United States, comparing post-fire signals to baseline levels from 293 unburned basins. …”
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Impact of Machining Parameters on Wire Arc Additively Manufactured Mild Steel Specimens of E6013 and E7018 Using an Electric Arc Heat Source by Muhammad Muzamil, Nabeel Ahmed Siddiqui, Kamal Kumar, Ghulam Hussain, Mohammed Alkahtani, Mohsin Sattar

“…The experimental data were also used to develop polynomial model response equations for predicting surface roughness. …”
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Heisenberg Group-Based Digital Signatures for Secure Communications by Najla Althuniyan, Ahmed Alamer, Awais Yousaf, Muhammad Waseem, Sarah Aljohani

“…This paper proposes a new digital signature algorithm that employs the Heisenberg group over a prime field and exploits its structure to provide strong cryptographic properties. The developed scheme involves the Heisenberg group within a commutator-based authentication system contributing to key exchange while providing secure means of authentication as well as data integrity. …”
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Servant leadership and well-being: A scoping review of positive organisational outcomes by Cara S. Jonker, Sinethemba C. Dube

“…The literature was searched using computerised databases from January 2015 to November 2021. Data were extracted through content analysis from 14 scientific articles. …”
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Investigating the impact of adoption of smart healthcare technologies on quality of patient care using two-staged SEM-ANN approach by S. A. Rajashekhar, Kamal Sharma, Manoj Kumar Trivedi, Miguel Villagómez Galindo, Kalpana Singh, Ana Beatriz Martínez Valencia

“…The research further examines the mediating role of technological literacy and training (TLT) and the moderating effects of organizational support and resources (OSR) and staff engagement (SE). Data were collected from 408 healthcare professionals across diverse healthcare settings in India through a structured online questionnaire. …”
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Assessing the Relationship in Symptomology of Myalgic Encephalitis/Chronic Fatigue Syndrome and Long COVID by Nikitha Garapaty, Kristina M. Reyes, Lily Tehrani, Maximiliano Barbosa Mendoza, Patrick Hardigan

“…The data was controlled for subject's sex, race/ethnicity, age, life satisfaction, insurance coverage, poverty ratio, and comorbidities. …”
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Evaluation of alcohol consumption motivation: psychometric properties of the Alcohol Consumption Motivation Inventory by V.Yu. Zavyalov by A. V. Trusova, A. A. Berezina, A. N. Gvozdetckii, S. G. Klimanova

“…Cluster B included self-harm motives and hangover (addictive) motives. According to the data obtained, the ACM inventory cannot measure an alcohol consumption motivation in the way of the original method. …”
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Prosthetic Joint Infection Research Models in NZW Rabbits: Opportunities for Standardization—A Systematic Review by Julia L. van Agtmaal, Sanne W. G. van Hoogstraten, Jacobus J. C. Arts

“…New antibacterial technologies are being developed to prevent PJI. In vivo models are still needed to bridge the translational gap to clinical implementation. …”
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns by Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis, Benedicte Vanwanseele

“…Hence, this study aimed to explore to what extent biomechanical data collected with three-dimensional movement analysis can be used to classify children with relapsed clubfoot from children with non-relapsed clubfoot. …”
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