Predictive Models for Environmental Perception in Multi-Type Parks and Their Generalization Ability: Integrating Pre-Training and Reinforcement Learning by Kangen Chen, Tao Xia, Zhoutong Cao, Yiwen Li, Xiuhong Lin, Rushan Bai

“…To address the limitations of traditional evaluation methods, a multimodal deep learning framework that integrates pre-training and reinforcement learning strategies for the comprehensive assessment of various park types (seaside, urban, mountain, and wetland) across three dimensions—accessibility, usability, and aesthetics—is proposed herein. By combining image data and user review texts, a unified architecture is constructed, including a text encoder, image visual encoder, and multimodal fusion module. …”
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Head posture control under perturbed conditions in progressive supranuclear palsy patients by Vittorio Lippi, Vittorio Lippi, Christoph Maurer, Christian Haverkamp, Christian Haverkamp, Stefan Kammermeier

“…With eyes open, the active proportional gain KP is relatively larger in all cases, indicating that the head is directed closer to the vertical by the visual contribution. Since this was held for all investigated groups, findings support the notion of intact visual contribution to posture control among PSP and IPD despite the impaired supranuclear eye guidance among PSP.DiscussionThe proposed neural model’s characteristics will aid in future patient data analysis, disease progression monitoring, and possible modulation of disease-specific features through therapeutic intervention. …”
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Falling Less in Kansas: Development of a Fall Risk Reduction Toolkit by Teresa S. Radebaugh, Candace A. Bahner, Deborah Ballard-Reisch, Michael Epp, LaDonna S. Hale, Rich Hanley, Karen Kendrick, Michael E. Rogers, Nicole L. Rogers

“…Materials must be engaging, visually interesting, empowering, sensitive to reading level, and appropriate for low-vision users. …”
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MOTH: Memory-Efficient On-the-Fly Tiling of Histological Image Annotations Using QuPath by Thomas Kauer, Jannik Sehring, Kai Schmid, Marek Bartkuhn, Benedikt Wiebach, Slaven Crnkovic, Grazyna Kwapiszewska, Till Acker, Daniel Amsel

“…The extraction of this data for artificial intelligence algorithms is still rather tedious and needs to be saved on a local hard drive. …”
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People and Things on the Move: Tracking Paths With Social Network Analysis by Tambs Lena

“…Since several places and persons are attested across more than one document, relational and attribute data retrieved from them can be meaningfully conceptualised and modelled as 1-partite and k-partite networks. …”
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The global burden of disease study and Population Health Metrics by Grant M A Wyper

“…Population Health Metrics prioritise the appraisal of innovative GBD research that moves the dial beyond reporting population health trends already available from the variety of publicly available GBD data visualisations and tools. Burden of disease studies remain a prominent area of research that contribute towards Population Health Metrics achieving its aim of publishing research that informs advances in the science of population health assessment internationally, nationally, and locally. …”
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The use of photo-elicitation in field research by Elisa Bignante

“…This paper examines the use of visual methods in geographical field research, and in particular photo-elicitation. …”
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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

“…This study aims to train a DNN to detect BOS in CT scans using an approach tailored for low-data scenarios. Methods We trained a DNN to detect BOS in CT scans using a co-training method designed to enhance performance in low-data environments. …”
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The Decomposition of a Train into its Cars by A. N. Malkov, G. P. Shtern, I. A. Mikhaylov

“…This problem arises while making automatic systems of train registration. The input data is a film that visualizes the train motion. …”
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An Explainable CatBoost Model for Crater Classification Based on Digital Elevation Model by Minghao Zhu, Jialong Lai, Xiaoping Zhang, Yi Xu, Weidong He

“…Despite data imbalance and noise, the model achieves a classification accuracy of 0.8788, with a precision of 0.7922, a recall rate of 0.7412, and an F1 score of 0.7658 for secondary craters. …”
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Non‐local low‐rank constraint‐based self‐consistent PMRI reconstruction using eigenvector maps by Jizhong Duan, Ting Pan, Yu Liu, Junfeng Wang

“…Simulation experiments on in vivo data sets demonstrate that the proposed NLR‐ESPIRiT outperforms all competing traditional model‐based algorithms in terms of three objective metrics and visual comparison.…”
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Distribution of target site PPO-inhibiting herbicide resistance mutations in waterhemp and Palmer amaranth and association of epyrifenacil efficacy with PPX2 target site variants by Jacob Montgomery, Daljit Singh, Andrew Tyre, Jaishree Chittoor, Clifford Wollam, Brandi Chiapelli, John Pawlak, Chandrashekar Aradhya, Alejandro Perez-Jones

“…Same-plant association study of molecular data and whole-plant assay correlated all detected variants of PPX2 with visual injury following epyrifenacil treatment and found that the ΔG210 mutation was associated with a reduction in relative efficacy of epyrifenacil in some accessions. …”
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A Computational Approach for Identifying Keywords Related to the 2030 Agenda for Sustainable Development Goals in a Brazilian Higher Education Institution by Ana Carolina Estorani Polessa, Gisele Goulart Tavares, Ruan Medina, Camila Martins Saporetti, Tiago Silveira Gontijo, Matteo Bodini, Leonardo Goliatt, Priscila Capriles

“…These methods offer innovative ways to process, analyze, and visualize data, enabling decision-makers to gain valuable insights and make informed decisions. …”
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Comparing Clinical Efficacy between Minimally Invasive Osteotomy and Weil Osteotomy for Treatment of Metatarsalgia by Zixing Bai, Xuhan Cao, Yanjun Yang, Chengyi Sun, Si Chen, Haiwei Hu, Jianmin Wen, Xinxiao Lin, Weidong Sun

“…However, all the above data were not significantly different between the two groups (<italic>p</italic> > 0.05). …”
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Eye in the Sky for Sub-Tidal Seagrass Mapping: Leveraging Unsupervised Domain Adaptation with SegFormer for Multi-Source and Multi-Resolution Aerial Imagery by Satish Pawar, Aris Thomasberger, Stefan Hein Bengtson, Malte Pedersen, Karen Timmermann

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Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations by Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim

“…Although tremendous progress has been made in visual interpretation, several challenges remain (i.e., dynamic backgrounds, occlusion, lack of labeled data, changes in illumination, direction, and size). …”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…This model innovatively combines Kinect depth information with monocular visual pose estimation results, utilizing an improved combination point representation method and Kalman filter data fusion strategy. …”
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Higher landing accuracy in expert pilots is associated with lower activity in the caudate nucleus. by Maheen M Adamson, Joy L Taylor, Daniel Heraldez, Allen Khorasani, Art Noda, Beatriz Hernandez, Jerome A Yesavage

“…These data provide evidence that performing "real world" aviation tasks in an fMRI provide objective data regarding the relative expertise of pilots and brain regions involved in it.…”
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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…The novelty of this study lies in its real-time Bayesian feedback mechanism and multimodal integration of audio, visual, and textual data, enabling dynamic and personalized oral instruction. …”
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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…However, challenges remain regarding the lack of ground truth data from DevOps systems, as well as difficulties in storing, processing, and visualizing the collected data. …”
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