ETV-MVS: Robust Visibility-Aware Multi-View Stereo with Epipolar Line-Based Transformer by Shaoqian Wang, Xiaokun Ding, Yuxin Mao, Yuchao Dai

“…Multi-View Stereo (MVS) is a pivotal technique in computer vision for reconstructing 3D models from multiple images by estimating depth maps. …”
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Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review by Yanzhao Yang, Jian Wang, Xinyu Guo, Xinyu Yang, Wei Qin

“…It also proposes future directions to bridge the gap between simulated and real-world data, aiming to optimize hybrid training models for improved autonomous driving applications.…”
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Subtype cluster analysis unveiled the correlation between m6A- and cuproptosis-related lncRNAs and the prognosis, immune microenvironment, and treatment sensitivity of esophageal c... by Ming Zhang, Yani Su, Pengfei Wen, Xiaolong Shao, Peng Yang, Peng An, Wensen Jing, Lin Liu, Zhi Yang, Mingyi Yang

“…Its robustness was evaluated through survival analysis, risk stratification curves, and receiver operating characteristic (ROC) curves. Additionally, the model’s applicability across various clinical features and molecular subtypes of EC patients was assessed. …”
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Study on the Effects of Internal Building Layouts on Tsunami-Driven Single-Container Motion by Yudou Hou, Tomoaki Nakamura, Yong-Hwan Cho, Norimi Mizutani

“…The three-dimensional coupled fluid–structure–sediment–seabed interaction model (FS3M) was employed to simulate these interactions and validated against physical experimental data to ensure accuracy. …”
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Machine Learning-Driven Identification of Exosome-Related Genes in Head and Neck Squamous Cell Carcinoma for Prognostic Evaluation and Drug Response Prediction by Hua Cai, Liuqing Zhou, Yao Hu, Tao Zhou

“…A predictive model was produced by using machine learning algorithms (LASSO regression, SVM, and random forest) to find disease-specific feature genes. …”
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SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion by Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo

“…The ablation study further demonstrates that the local global feature fusion module, the adaptive fusion loss function, and the integration of semantic segmentation and image fusion have significant effects on improving the model performance. …”
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Limitation of switching sensory information flow in flexible perceptual decision making by Tianlin Luo, Mengya Xu, Zhihao Zheng, Gouki Okazawa

“…Abstract Humans can flexibly change rules to categorize sensory stimuli, but their performance degrades immediately after a task switch. …”
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Integration of an Iterative Update of Sparse Geologic Dictionaries with ES-MDA for History Matching of Channelized Reservoirs by Sungil Kim, Baehyun Min, Kyungbook Lee, Hoonyoung Jeong

“…This study couples an iterative sparse coding in a transformed space with an ensemble smoother with multiple data assimilation (ES-MDA) for providing a set of geologically plausible models that preserve the non-Gaussian distribution of lithofacies in a channelized reservoir. …”
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An Intelligent Diagnosis Method for NIID Based on Cross Self-supervision and DWI by CAO Fei, XU Qianqian, CHEN Hao, ZU Jie, LI Xiaowen, TIAN Jin, BAO Lei

“…The results reveal that the CO-ResNet50 model has the best performance, with an accuracy of 95.49%, precision of 95.51%, recall of 95.44%, F1 score of 0.954 7, and AUC of 0.989 7. …”
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Diagnostic Accuracy of a Machine Learning-Derived Appendicitis Score in Children: A Multicenter Validation Study by Emrah Aydın, Taha Eren Sarnıç, İnan Utku Türkmen, Narmina Khanmammadova, Ufuk Ateş, Mustafa Onur Öztan, Tamer Sekmenli, Necip Fazıl Aras, Tülin Öztaş, Ali Yalçınkaya, Murat Özbek, Deniz Gökçe, Hatice Sonay Yalçın Cömert, Osman Uzunlu, Aliye Kandırıcı, Nazile Ertürk, Alev Süzen, Fatih Akova, Mehmet Paşaoğlu, Egemen Eroğlu, Gülnur Göllü Bahadır, Ahmet Murat Çakmak, Salim Bilici, Ramazan Karabulut, Mustafa İmamoğlu, Haluk Sarıhan, Süleyman Cüneyt Karakuş

“…A separate, prospectively collected external validation cohort of 3000 patients was used to assess model performance. The Random Forest algorithm was selected based on its superior performance during model comparison. …”
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The origin and nature of macroecological patterns in amphibians: old questions, novel approaches by Sidney F. Gouveia

“…Using amphibians as a model, I revisited three fundamental themes in macroecology from a physiological perspective: the global diversity gradient, ecogeographical rules and the evolution of the climatic niche at physiological and macroecological scales. …”
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Design of metamorphic clamping mechanism for imitating crocodiles by YI Xianying, ZHOU Zupeng, PENG Jiansheng, WU Zhe

“…ObjectiveTo achieve enveloping and stable grasping of spherical-like fruits, a crocodile-inspired metamorphic clamping mechanism was designed by combining the excellent characteristics of crocodiles with metamorphic mechanisms.MethodsFirstly, the reverse engineering technology was employed to perform the three-dimensional reconstruction of a Cuban crocodile skull model. …”
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Numerical investigation on the compressive behavior of hierarchical granular piles by Sota Arakawa, Mikito Furuichi, Daisuke Nishiura

“…Abstract Hierarchical granular piles composed of aggregates are key structural features in both geoscience and planetary science, from fault gouge in seismic zones to the internal structures of comets. …”
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Application of Visual Communication Combined with Electrochemistry in Ceramic Carving Product Design by Jian Geng

“…In order to improve the design of ceramic carving products, the author proposes a visual communication, combined with electrochemistry, laser engraving technology, using superpixel imaging technology, carry out laser engraving ceramic reticulation imaging processing, build a binary laser engraving image model, using image edge feature matching method, carry out the edge contour feature detection of the laser engraved ceramic reticulated image, and extract the local information feature quantity of the laser engraved ceramic mesh image. …”
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Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms by Sachit Mahajan, Dirk Helbing

“…High-trust sensors receive minimal correction, preserving baseline accuracy, while low-trust sensors leverage expanded wavelet-based features and deeper models. Results show mean absolute error (MAE) reductions of up to 68% for poorly performing sensors and 35–38% for reliable ones, outperforming conventional calibration methods. …”
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Design of metamorphic clamping mechanism for imitating crocodiles by YI Xianying, ZHOU Zupeng, PENG Jiansheng

“…ObjectiveTo achieve enveloping and stable grasping of spherical-like fruits, a crocodile-inspired metamorphic clamping mechanism was designed by combining the excellent characteristics of crocodiles with metamorphic mechanisms.MethodsFirstly, the reverse engineering technology was employed to perform the three-dimensional reconstruction of a Cuban crocodile skull model. …”
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Dysarthria Severity detection Using Recurrent and Convolutional Neural Networks by Amina Hamza, Djamel Addou

“…The Nemours corpus database is used to assess these neural network models' performances. Notably, 99.8% is the highest classification accuracy attained with this corpus …”
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Simulation of Electron Acoustic Wave Propagation in Non-Uniform Magnetized Plasma by Hamid Reza Pakzad

“…The important point is that we do not have other dissipative sources like particle interaction or viscosity effects, in this model. We also find that the electron density waves moves with a small wavelets around the central electron density even if the external magnetic field is constant.We propose to perform a laboratory experiment which will be able to identify the special new features of the electron acoustic waves propagation in a magnetized plasma with external varying magnetic field in which have been predicted in this investigation. …”
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How Do Silent Trolls Become Overt Trolls? Fear of Punishment and Online Disinhibition Moderate the Trolling Path by Daniel Montez, Dam Hee Kim

“…In the theoretical contexts of social cognitive theory and the bystander effect, we advance a model in which enjoyment of observing trolling prompts supportive trolling, which could then lead to overt trolling. …”
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Of Short Interspersed Nuclear Elements, Long Interspersed Nuclear Elements and Leeches: Identification and Molecular Characterization of Transposable Elements in Leech Genomes by Christian Müller

“…Conclusions: Non-model organisms like leeches are an excellent source for new information on long-term studied objects like TEs and may provide new insights into the diversity and the putative biological impact of these MGEs.…”
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