Airway-microbiome-driven mechanisms of disease during optimised self-management: a lesson learned from mechanistic study of the Colour-COPD trial by Alice M Turner, Daniella Spittle, Karl Staples, David Cleary

“…Since only half of exacerbations of chronic obstructive pulmonary disease (acute exacerbation of chronic obstructive pulmonary disease) are bacterial, and sputum colour has a good positive predictive value for bacterial presence, it is likely that our intervention will reduce antibiotic consumption. …”
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A New Physics-Inspired Discriminative Classifier by Mostafa Monemizadeh, Seyed Rouhollah Samareh Hashemi, Mohsen Sheikh-Hosseini, Hamed Fehri

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The predictive effects of learner autonomy and academic engagement on willingness to communicate, foreign language learning self-esteem, and L2 grit in an EFL context by Ehsan Namaziandost, Fidel Çakmak, Tahereh Heydarnejad, Afsheen Rezai

“…Drawing upon a quantitative method, the current study delved into a university setting to investigate the impact of autonomy and academic engagement on willingness to communicate, foreign language learning self-esteem, and L2 grit in English as a Foreign Language (EFL). …”
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Study on the Optical Field Distribution of Asymmetric Nanostructures Based on Surface Plasmon by Leijun Zhang, Jiao Jiao, Jisheng Tong, Chunguang Ma, Qing Zhao

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Analysis of Students’ Role Perceptions and their Tendencies in Classroom Education Based on Visual Inspection by Lanlan Jiang

“…This paper presents an in-depth study and analysis of students’ role perceptions and their tendencies in classroom education using a visual inspection approach. A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. …”
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Vitamin D and focal brain atrophy in PD with non-dementia: a VBM study by Yingying Xu, Erlei Wang, Qilin Zhang, Jing Liu, Weifeng Luo

“…The simple linear regression analyses between serum 25-hydroxyvitamin D levels and the scores of subtests that analyzed cognitive function showed that serum 25-hydroxyvitamin D levels were negatively correlated with Trail Making Test-A scores and positively correlated with Symbol Digit Modalities Test and Auditory Verbal Learning Test scores. …”
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Ship Hull Steel Plate Deformation Modeling Based on Gaussian Process Regression by Zhiliang Zhang, Ryojun Ikeura, Soichiro Hayakawa, Zheng Wang

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Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology by Yan Gao, Lin Gao

“…In the simulation process, based on the VRML/X3D bottom interactive system template, after comprehensive application research, comparative analysis of various modeling methods, the system verified the use of digital cameras combined with the modeling technology based on music elements to collaboratively establish VRML virtual model connections. …”
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Multi-camera association tracking algorithm for pedestrian target based on difference image by Shuai Ren

“…The pedestrian target obeys the Laplacian random variable probability density function, and moves according to the center position of the bounding box to ensure that the target tends to move around the starting position, and realizes the multi-camera association tracking. …”
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Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification by Zhaoxia Xue, Zhiwei Liu, Zhaohui Xue, Tingqiang Song

“…Extensive experiments on four benchmark HSI datasets—University of Pavia (PU), Salinas Valley (SA), WHU-Hi-HanChuan (WHU-HH), and WHU-Hi-LongKou (WHU-HL)—demonstrate SSCGNN’s superiority over state-of-the-art few-shot learning methods. With only 5 labeled samples per class, our model achieves overall accuracy (OA) values of: 93.36% (PU, +6.22% vs. baseline GCN), 98.37% (SA, +4.91% vs. spectral-spatial CNN), 84.68% (WHU-HH, +8.03% vs. meta-learning approaches), 95.87% (WHU-HL, +7.15% vs. graph attention networks).…”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…The ensemble module is optimized for the aggregation method and different learning parameters. Furthermore, to mitigate the false positive and false negative, a systematic approach, termed Temporal Epistemic Decision Aggregator (TEDA) is introduced, which elegantly navigates the time-accuracy tradeoff by seamlessly integrating temporal decisions, thereby enhancing decision reliability. …”
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Application of social cognitive theory to determine shaping factors of environmental intention and behaviors of ecotourist in forest areas by Sahar Erfanian, Rahim Maleknia, Aureliu Florin Halalisan

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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…[Results] The study introduced four key innovations to the original Mantis Search Algorithm (MSA): (1) combining Logistic-Tent chaotic mapping for population initialization, ensuring uniform and random distribution of initial solutions to enhance global search capability and convergence speed; (2) nonlinear acceleration factor, refining MSA’s core update formula to transition from global exploration to local exploitation, mitigating local optima entrapment; (3) elite-guided adaptive update strategy, addressing the excessive randomness in the position update strategy when Mantis attacks fail, improving late-stage search efficiency while preserving some randomness; (4) opposition-based learning, generating individuals opposite to the current individual to enhance global optimization. …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

“…The matching points were quickly screened based on spatial position information of feature points. …”
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Evaluation of high school-based dengue solution model in Southern Thailand: a community participatory action research by Charuai Suwanbamrung, Sandeep Kumar Mehraj, Melkamu Worku Kercho, Muhammad Haroon Stanikzai, Temesgen Anjulo Ageru, Jiraporn Jaroenpool, Panatda Pibul, Shamarina Shohaimi, Eskinder Israel

“…Conclusion This participatory action research not only improved students' understanding of dengue but also empowered them to be proactive in various community health initiatives. The positive correlation between educational attainment and students understanding of dengue solution and larval indices surveillance underscores the need for tailored educational interventions that address diverse learning needs within the community. …”
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Effect of Risk-Based Audit and Information Technology on the Relationship between Client’s Risk Management and Audit Quality by Huy Cao Tan, Tuan Anh Dang

“…Understanding how risk-based audits (RBA), information technology applications (ITA), and auditor accountability influence this relationship is critical for enhancing audit practices. …”
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Using action and grounded theory techniques as evidence-based design for an academic advising programme by Riashna Sithaldeen

“…The results indicate a positive association of the new capability developed in students, with the designed learning activity. …”
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Intelligent prediction for face straightness based on sensor data and human operation information by SUN Yan, FU Xiang, WANG Ranfeng, JIA Yifan, ZHANG Zhixing

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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…To address these challenges, a stacking-based Tiny Machine Learning (TinyML) models has been proposed for attack detection in IoT networks. …”
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Improved EEG-Based Emotion Classification via Stockwell Entropy and CSP Integration by Yuan Lu, Jingying Chen

“…Traditional entropy-based learning methods primarily extract the relevant entropy measures directly from EEG signals using sliding time windows. …”
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