Assess Spatial Equity Considering the Similarity Between GIS-Based Supply and Demand Maps: A New Framework with Case Study in Beijing by Xiatong Hao, Xiaojian Hu, Ke Zhang, Qian Chen

“…Spatial equity is a critical issue that the supply allocation should align with the level of demand, enabling all community members to equally benefit from the city’s resources and opportunities, yet commonly used assessment methods have inherent limitations. This study proposes a new framework to assess spatial equity based on the evaluation of similarity between GIS-based supply and demand maps and provides a simplified case study that assesses public transportation services across the area inside the Sixth Ring Road of Beijing to facilitate the comprehension of this framework. …”
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How Shakespeare’s works have been reinterpreted, adapted and reshaped: a bibliometric review and trend analysis of Shakespeare studies from 2000 to 2023 by Xintong Li, Sihan Li

“…This study addresses this issue by applying bibliometric methods to data from the Web of Science Core Collection, using tools like VOSViewer and CiteSpace for analysis and visualization. …”
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Microwave-Based Colonoscopy: Preclinical Evaluation in an Ex Vivo Human Colon Model by Glòria Fernández-Esparrach, Alejandra Garrido, Roberto Sont, Walid Dghoughi, Sergi Marcoval, Miriam Cuatrecasas, Sandra López-Prades, F. Borja de Lacy, María Pellisé, Ignasi Belda, Marta Guardiola

“…Methods. Fresh surgically excised colorectal specimens containing cancer or polyps were fixed to a 3D positioning system, and the accessory device was introduced horizontally inside the ex vivo colon lumen and moved along it simulating a real colonoscopy exploration. …”
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RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis by Samyabrata Sen, Indraneel Vairagare, Jitendrapuri Gosai, Abhishek Shrivastava

“…Users can select from adaptive, automated thresholding, or AI-based segmentation methods, fine-tuning parameters to fit their needs. …”
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DESIGN OF SMART TOURISM SYSTEMS TO FORECAST FOREIGN TOURIST ARRIVAL RATE USING DEEP LEARNING TECHNIQUES by Ratna Kanth Gudala, Ravi Kumar Suggala, Venkata Nagaraju Datla, Sri Krishna Adusumalli

“…A detailed comparative analysis of these methods identifies the most suitable technique. Additionally, the study conducts yearly trend analysis for essential parameters like domestic tourism, tourism's impact on GDP, foreign exchange earnings, and government expenditure, using visualization tools. …”
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Color as a High-Value Quantitative Tool for PET/CT Imaging by Michail Marinis, Sofia Chatziioannou, Maria Kallergi

“…The purpose of this work was to develop color-based, pre-processing methodologies for PET/CT data that could yield a better starting point for subsequent diagnosis and image processing and analysis. Two methods are proposed that are based on the encoding of Hounsfield Units (HU) and Standardized Uptake Values (SUVs) in separate transformed .png files as reversible color information in combination with .png basic information metadata based on DICOM attributes. …”
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Do Machine Learning and Business Analytics Approaches Answer the Question of ‘Will Your Kickstarter Project be Successful? by Murat Kılınç, Can Aydın, Çiğdem Tarhan

“…Within this scope, a business intelligence model that works on the web has been developed by combining business analytics and machine learning methods. The data used for business analytics has been brought to a state that can provide inferences through visualization, reporting and query processes. …”
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Scientific support for strength sports: analysis of scientific resources from the Web of Science Core Collection by Leonid Podrigalo, Kostiantyn Tymchenko, Volodymyr Perevoznyk, Bogdan Semeniv, Volodymyr Paievskyi, Olexandr Halashko

“…A total of 589 sources published between 2021 and 2025 that met the search criteria were selected for primary analysis. Bibliometric methods were applied to process the data. VOSviewer 1.6.18 software was used for keyword analysis and direct citation analysis, including the construction of bibliometric maps, cluster density visualization, and weighted citation analysis. …”
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Optimized Whole-Slide-Image H&E Stain Normalization: A Step Towards Big Data Integration in Digital Pathology by Jose L. Agraz, Carlos Agraz, Andrew A. Chen, Charles Rice, Robert S. Pozos, Sven Aelterman, Amanda Tan, Angela N. Viaene, MacLean P. Nasrallah, Parth Sharma, Caleb M. Grenko, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Russell T. Shinohara, Spyridon Bakas, Parker Wilson

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Analisis Sentimen Kebijakan Penerapan Kurikulum Merdeka Sekolah Dasar dan Sekolah Menengah pada Media Sosial Twitter dengan Menggunakan Metode Word Embedding dan Long Short Term Me... by Alif Rizal Maulana, Satrio Hadi Wijoyo, Yusi Tyroni Mursityo

“…The architecture used is Long Short-Term Memory Networks (LSTM). The method used to prepare the data is word embedding using layers embedding from the TensorFlow library. …”
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An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

“…Existing anomaly detection methods often struggle to generalize across diverse disease manifestations. …”
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Robust Image Population Based Stain Color Normalization: How Many Reference Slides Are Enough? by Jose L. Agraz, Caleb M. Grenko, Andrew A. Chen, Angela N. Viaene, MacLean D. Nasrallah, Sarthak Pati, Tahsin Kurc, Joel Saltz, Michael D. Feldman, Hamed Akbari, Parth Sharma, Russell T. Shinohara, Spyridon Bakas

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DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection by Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir

“…Comparative experiments confirm that DaGAM-Trans outperforms existing state-of-the-art methods in terms of accuracy, FAR, FRR, and EER. Visualization through attention maps further validates the model's capacity to localize and highlight discriminative regions in signature images. …”
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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…Research into their role in disease prevention and personalized nutrition is expanding, but challenges such as data complexity, inconsistent methods, and the rapid growth of scientific literature can hinder progress. …”
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The State and the Prospects of the Development of Innovative Activity in the Russian Federation in the XXI Century by A. A. Varushchenko, N. A. Vladimirov

“…Graphic and tabular methods of visualization of research results, statistical methods of analysis of economic phenomena were used. …”
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Bibliometric analysis of laryngeal cancer treatment literature (2003–2023) by Yan Zhao, Jiancheng Xue

“…The findings aim to guide researchers by identifying new areas, providing valuable insights and innovative perspectives. Methods: Data were extracted from the Web of Science Core Collection database on December 1, 2023. …”
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THEORETICAL AND METHODOLOGICAL ASPECTS OF USING INFORMATION ANDCOGNITIVE TECHNOLOGIES IN THE TRAINING OF TRANSPORT SPECIALISTS by Lavrentieva Olena, Krupskyi Oleksandr

“…For educators, these technologies facilitate the use of ICT as cognitive tools for transitioning from traditional teacher-centred methods to constructivist student-centred approaches. …”
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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 study addresses the limitations of traditional participatory methods, highlighting how Virtual Reality technology can facilitate more accessible, inclusive, and efficient urban policymaking processes. …”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…Model performance was evaluated using receiver operating characteristic (ROC) curves and heatmap visualization. The SHAP method rank the feature importance and provided interpretability for the final model.Results: Among the four machine learning models, the RF model showed the best performance, with an area under the curve (AUC) of 0.96 (95% CI: 0.91– 1.0), accuracy of 0.93, and specificity of 0.97 on the test dataset. …”
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Protocol for identifying protein synthesis activity in specific cell types of the testicular lumen by Dingfeng Zou, Kai Li, Yan Lu, Wei Yan, Wei Song

“…Here, we present a protocol for visualization and quantification of newly synthesized proteins by click-chemistry-based immunofluorescence within specific spermatogenic cell types in the mice testicular lumen. …”
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