Utilizing Virtual Reality in the participatory urban policy-making process: A step toward facilitating effective citizen engagement by A. Shakibamanesh, M. Ghorbanian, S. Izadi, A. Riahi, P. Zeifodini

“…The methods employed include documentary analysis and case studies, with data collected from documents, library resources, and relevant articles in this field. …”
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Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse by Durga Prasad Kavadi, Kailash Chandra Mishra, Sai Babu Veesam, Mudimela Madhusudhan, Palacharla Ravi Kumar, Pannangi Naresh, Yuvaraju Chinnam

“…The emergence of the metaverse demands adaptive rendering systems that produce high-quality scenes, balancing the dimensions of visual fidelity with computational efficiency. Methods used for scene generation and rendering usually fail to incorporate user interactions in real time, leading to resource inefficiency and reduced user experience. …”
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Analysis of publications on adaptive judo: bibliometric analysis by Natalya Boychenko, Yrui Tropin, Vyacheslav Romanenko, Valerii Holokha

“…Bibliometric analysis of PubMed database data was used to create a sample of studies as of 03/17/2025. …”
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An eXplainable deep learning model for multi-modal MRI grading of IDH-mutant astrocytomas by Hamail Ayaz, Oladosu Oladimeji, Ian McLoughlin, David Tormey, Thomas C. Booth, Saritha Unnikrishnan

“…The SHAP attribution scores demonstrate that advanced MRI modalities such as Arterial Spin Labeling (ASL) and Diffusion-weighted Imaging (DWI), along with conventional MRI sequences such as FLAIR, T1-c and T2, contribute significantly to improving tumor heterogeneity visualization for aggressive grade 2 gliomas. This work demonstrates the feasibility of integrating explainable deep learning with multi-modal MRI data for precise and comprehensible early glioma grading, potentially leading to better clinical decision-making.…”
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Clinical information prompt-driven retinal fundus image for brain health evaluation by Nuo Tong, Ying Hui, Shui-Ping Gou, Ling-Xi Chen, Xiang-Hong Wang, Shuo-Hua Chen, Jing Li, Xiao-Shuai Li, Yun-Tao Wu, Shou-Ling Wu, Zhen-Chang Wang, Jing Sun, Han Lv

“…Methods Based on clinical information, retinal fundus images, and neuroimaging data derived from a multicenter, population-based cohort study, the KaiLuan Study, we proposed a cross-modal correlation representation (CMCR) network to elucidate the intricate co-degenerative relationships between the eyes and brain for 755 subjects. …”
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Single-round performance of colorectal cancer screening programs: a network meta-analysis of randomized clinical trials by Teruhiko Terasawa, Toshihiro Tadano, Koichiro Abe, Seiju Sasaki, Satoyo Hosono, Takafumi Katayama, Keika Hoshi, Tomio Nakayama, Chisato Hamashima

“…Paired reviewers screened studies, extracted data, and assessed bias risk. A Bayesian random-effects network meta-analysis was conducted, and the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. …”
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Transposon-directed insertion-site sequencing (TraDIS) analysis of Enterococcus faecium using nanopore sequencing and a WebAssembly analysis platform by Alexandra L. Krause, Wytamma Wirth, Adrianna M. Turner, Louise Judd, Lucy Li, Willem van Schaik, Benjamin P. Howden, Glen P. Carter, Torsten Seemann, Ryan Wick, Timothy P. Stinear, Andrew H. Buultjens, Ian R. Monk

“…We have also customized a bioinformatic analysis suite that includes a WebAssembly powered visualization tool called Diana, for TraDIS data exploration and analysis (https://diana.cpg.org.au/). …”
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Perancangan dan Implementasi Game Edukasi Kesehatan Gigi “Tooth and Fairy” berbasis Android Menggunakan Unity Engine by Sussi Sussi, Sri Astuti, Nurwulan Fitriyanti, Nyoman Bogi Aditya Karna, Nizar Rizky Awany, Muhammad Fajar Firdiansyah, Rafli Noveri Alfariji, Dhea Dearly Herman, Muhammad Risqi Risfianda, Muh Nurkhaliz

“…The database can store score data, game rules run very well, game features and exit buttons function very well. …”
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Co-Designing a Consumer-Focused Digital Reporting Health Platform to Improve Adverse Medicine Event Reporting: Protocol for a Multimethod Research Project (the ReMedi Project) by Eyob Alemayehu Gebreyohannes, Christopher Thornton, Myra Thiessen, Sieta T de Vries, Andre Q Andrade, Lisa Kalisch Ellett, Oliver Frank, Phaik Yeong Cheah, Kim-Kwang Raymond Choo, Tracey Lea Laba, Elizabeth E Roughead, Indae Hwang, Geraldine Moses, Renly Lim

“…Phase 1 will result in persona profiles and user journey maps that define the standards for the user-friendly platform and interactive data visualization tool or dashboard that will be developed and further improved in phase 2. …”
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Genomic analysis of virulence, antimicrobial resistance, and capsular polysaccharide locus of group B Streptococcus isolated from Indonesia by Yustinus Maladan, Ratna Fathma Sari, Rosantia Sarassari, Sarah Azhari Balqis, Ghina Athyah Wahid, Waode Fifin Ervina, Nina Dwi Putri, Dodi Safari

“…Circular genome visualization was generated with the Blast Ring Image Generator (BRIG). …”
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DFT-analysis of protolytic equivalents of 5-(aryl)-4-(methyl,amino)-1,2,4-triazole-3(2H)-thione by O. A. Bihdan, N. A. Alk Khalaf

“…The use of modern computer methods in aspects of quantum chemistry and systematic analysis of their results give an idea of the reactivity of organic compounds, as well as to understand the essence of known experimental data, correct predictions, and quantitative estimates. …”
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Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…This methodological advancement bridges the gap between AI‐driven diagnostics and clinical ophthalmology by translating complex ocular data into actionable insights. Conclusions Integrating AI with clinical laboratory data holds significant potential for advancing mobile eye health (MeHealth), particularly in detecting OSIs. …”
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Biochar soil amendments affect mycorrhizal colonization, root nodulation and dry matter accumulation in cowpeas (Vigna unguiculata (L.) Walp.) by Ifeyinwa Monica UZOH, Keabetswe Chriscellda RAMADILE, Uchechukwu Paschal CHUKWUDI, Ozede Nicholas IGIEHON, Akinlolu Olalekan AKANMU, Olubukola Oluranti BABALOLA

“…Stereomicroscopic visualization of the roots indicated high presence of arbuscules in the biochar treatment over the control. …”
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Deciphering mitochondrial dysfunction in keratoconus: Insights into ACSL4 from machine learning-based bulk and single-cell transcriptome analyses and experimental validation by Yuchen Cai, Tianyi Zhou, Xueyao Cai, Wenjun Shi, Hao Sun, Yao Fu

“…Single cell sequencing data highlighted ACSL4 as the most promising biomarker, primarily expressed in corneal stromal cells (CSCs). …”
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ICP-Based Mapping and Localization System for AGV with 2D LiDAR by Felype de L. Silva, Eisenhawer de M. Fernandes, Péricles R. Barros, Levi da C. Pimentel, Felipe C. Pimenta, Antonio G. B. de Lima, João M. P. Q. Delgado

“…Subsequently, the system was adapted for operation with data from the onboard sensor, integrating a lightweight graphical interface for real-time visualization of scans, estimated pose, and the evolving map. …”
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One size doesn’t fit all: regional dynamics in pediatric emergency visits during the SARS-CoV-2 pandemic by Michelle Seiler, Gregory Biland, Oliver Gruebner, Oliver Gruebner, Sergio Manzano, Gianluca Gualco, Marc Sidler, Ursula Laasner, Julia Dratva, Julia Dratva, Michael von Rhein

“…Despite uniform national regulations, utilization patterns varied across language regions, suggesting multifactorial influences. Geographic visualization provided insights into catchment area changes, offering a valuable tool for healthcare planning. …”
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Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision by Hui Li, Fan Zhao, Feng Xue, Jiaqi Wang, Yongying Liu, Yijia Chen, Qingyang Wu, Jianghan Tao, Guocheng Zhang, Dianhan Xi, Jundong Chen, Hill Hiroki Kobayashi

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Targeting accuracy of neuronavigation: a comparative evaluation of an innovative wearable AR platform vs. traditional EM navigation by Marina Carbone, Marina Carbone, Nicola Montemurro, Nicola Montemurro, Nadia Cattari, Nadia Cattari, Martina Autelitano, Martina Autelitano, Fabrizio Cutolo, Fabrizio Cutolo, Vincenzo Ferrari, Vincenzo Ferrari, Emanuele Cigna, Emanuele Cigna, Sara Condino, Sara Condino

“…Wearable augmented reality in neurosurgery offers significant advantages by enabling the visualization of navigation information directly on the patient, seamlessly integrating virtual data with the real surgical field. …”
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Harnessing artificial intelligence to revolutionize vocational education: Emerging trends, challenges, and contributions to SDGs 2030 by Febri Prasetya, Aprilla Fortuna, Agariadne Dwinggo Samala, Dinda Khaira Latifa, Welli Andriani, Utari Akhir Gusti, Muhammad Raihan, Santiago Criollo-C, Deniz Kaya, Juan Luis Cabanillas García

“…The study also identifies challenges that need to be addressed, including data privacy, infrastructure readiness, and teacher training, while providing guidance for future research and educational policy development.…”
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Using GIS And Geophysics In Selecting Suitable Basins With Freshwater Aquifers For An Efficient Exploration Strategy - A Case Study From Petra-Region, Jordan by Mohammmad Al Farajat, Bernhard Schaefers, Hussein Al Hassanat, Nedal Al Atteyat, Nidal Al Jahed, Jamal Khataibeh

“…In the second step, the selected locality of the basin was given emphasize on its detailed geology and hydrology to choose suitable locality for applying gravity visualization. Evaluation of this data leads to step number three. …”
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