Integrating Reverse Cycle Strategy in Circular Business Model Innovation: A Case Study by Ahmad Fatih Fudhla, Budisantoso Wirjodirdjo, Moses Laksono Singgih

“…Empowering the qualitative method, the research utilises the Business Model Canvas (BMC) to visually articulate and analyse business operations, interactions, and the impact of the RCS's ten principles (10R). …”
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Nature of boson peak and associated heat capacity anomaly caused by structural and proton disorder in Ih and LDA Ices by Rodion V. Belosludov, Kirill V. Gets, Ravil K. Zhdanov, Yulia Y. Bozhko, Vladimir R. Belosludov

“…Abstract In this work, the nature of the boson peak associated with the interaction between acoustic and optical phonons is revealed in low-density amorphous LDA ice and hexagonal crystalline ice (I h ) using the lattice dynamics method within the SPC/Emod water model. The appearance of these vibrations is associated with proton disordering in ice I h and with both protons and oxygen atoms in LDA ice. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…On the GIGAScience MI dataset, experiments show that shallow neural networks are good at classifying MI-EEG data, while the CAM-based method finds spatio-frequency patterns. Moreover, the QMIP-CCA framework successfully correlates physiological data with MI-EEG performance, offering an enhanced, interpretable solution for BCIs.…”
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An Integrated Lateral and Longitudinal Decision-Making Model for Autonomous Driving Based on Deep Reinforcement Learning by Jianxun Cui, Boyuan Zhao, Mingcheng Qu

“…In addition, this paper also uses the nonlinear kinematic bicycle model and two-point visual control model to realize the low-level control of both MDV and ADV. …”
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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…Our comprehensive evaluation, using distribution similarity metrics, classification-based assessments, and visual comparisons, demonstrates that our approach effectively captures and transfers complex style characteristics while preserving content integrity, outperforming state-of-the-art models. …”
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Exchange-traded funds and the future of passive investments: a bibliometric review and future research agenda by Girish Joshi, Ranjan Kumar Dash

“…Numerous studies on specific aspects on ETFs have been done earlier; however, considering the scarcity of thorough summaries in the existing body of literature, this bibliometric and systematic review aims to adopt a methodical approach with the goal of delivering qualitative and quantitative understanding of ETFs, while highlighting general research trends. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…We propose leveraging multi-modality data to address these limitations. Our method integrates color and depth data using deep convolutional neural networks with a late feature fusion scheme. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…A set of experimental evaluations demonstrate that the proposed method is effective and efficient in recognizing Bangladeshi vehicles. …”
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TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY by Antonina V. Prokopenko, Valeriia M. Rava

“…In particular, such tactics as the mnemonic method, categorization, generalization, comparison, description and creation of notes are presented. …”
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Detection of pesticide and their effects on silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) by Satish Lokanath, Kusuma Lingaiah, G. Manjappa, Mahiba Helen, Dahira Beevi, S. Manthira Moorthy, G. R. Manjunath

“…We also studied the effect of pesticides on commercially available AChE, and the results found that Anthranilic diamides, pyrethroid and fungicides also inhibited AChE in time-dependent spectrophotometric analysis. Further, a rapid visual screening paper-strip method for semi-qualitative detection of pesticides on mulberry leaf and soil was standardized using AChE (1.25 µL of 1000 U/mL) and indoxyl acetate (10 µL of 10 mM) on Whatman filter paper 1. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…We propose an improved YOLOv10-based disease detection method that replaces the traditional convolutional layers in the Backbone network with LDConv to enhance feature extraction capabilities. …”
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Hierarchical cross attention achieves pixel precise landslide segmentation in submeter optical imagery by Wenjie Hu, Guangtong Sun, Xiangqiang Zeng, Bo Tong, Zihao Wang, Xinyue Wu, Ping Song

“…The proposed method may serve as a reference for future advancements in landslide segmentation and other remote sensing segmentation tasks.…”
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Evaluating Perceived Resilience of Urban Parks Through Perception–Behavior Feedback Mechanisms: A Hybrid Multi-Criteria Decision-Making Approach by Zhuoyao Deng, Qingkun Du, Bijun Lei, Wei Bi

“…Factors such as environmental psychological resilience, functional diversity, and visual permeability show a significant path influence and priority intervention value. …”
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INTERRELATION DEGREE OF SEVERITY PTERYGOPALATINE GANGLIONITIS WITH THE HYGIENIC CONDITION OF THE ORAL CAVITY by I.A. Kolisnyk

“…Polymorphism of its manifestations significantly complicates diagnosis and choice of the optimal method of treatment, due to topographic, anatomical and functional features of the structure of peripheral vegetative nervous system of the head. …”
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MFSM-Net: Multimodal Feature Fusion for the Semantic Segmentation of Urban-Scale Textured 3D Meshes by Xinjie Hao, Jiahui Wang, Wei Leng, Rongting Zhang, Guangyun Zhang

“…Experimental results demonstrate that the proposed method achieves competitive performance in city-scale textured 3D mesh semantic segmentation, validating the effectiveness and potential of the cross-modal fusion strategy.…”
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Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization by Md. Yousuf Ali, Mizanur Rahman

“…The numerical findings encapsulate the dynamics of temperature, velocity, and entropy generation, visually portrayed across various dimensionless parameters. …”
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State Estimation for Quadruped Robots on Non-Stationary Terrain via Invariant Extended Kalman Filter and Disturbance Observer by Mingfei Wan, Daoguang Liu, Jun Wu, Li Li, Zhangjun Peng, Zhigui Liu

“…Existing state estimation algorithms relying on multi-sensor fusion, such as those using IMU, LiDAR, and visual data, often face challenges on non-stationary terrains due to issues like foot-end slippage or unstable contact, leading to significant state drift. …”
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Analysis of heat transfer in Casson fluid flow due to aligned flat plate with leading edge accretion and slip boundary conditions by Jaganathan Jayaprakash, Vediyappan Govindan, Haewon Byeon

“…We present our findings with visualizations that illustrate the influence of various dynamic parameters on the flow field. …”
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Driving Sustainable Cultural Heritage Tourism in China through Heritage Building Information Modeling by Zhiwei Zhou, Zhen Liu, Genqiao Wang

“…In order to explore the application of BIM in the protection and inheritance of Chinese cultural heritage, as well as its potential in promoting the sustainable development of cultural heritage tourism, this paper adopts the quantitative research method of bibliometrics to explore the research hotspots, development background, and evolution trends of BIM-driven sustainable development in Chinese cultural heritage tourism. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Subsequently, a deep learning-based reconstruction method, i.e., 3D Gaussian splatting (3D-GS), is utilized to construct 3D digitized traffic accident scenes from UAV-based image datasets collected in the traffic simulation environment. …”
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