Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management by Marta Caviglia

“…Although the NIGHTINGALE (Novel Integrated Toolkit for Enhanced Pre-Hospital Life Support and Triage in Challenging and Large Emergencies) project is actively addressing these challenges by developing a comprehensive toolkit designed to support first responders and enhance data collection during MCIs, significant work remains to ensure the tools are fully operational and can effectively integrate continuous monitoring and data management. …”
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Unveiling Public Sentiments in Crisis: The EHDSAF Approach to Dark Social Media Data during the 2010 Pakistan Flood by Fazal Tariq, Muhammad Tufail, Taj Rehman

“… The flood in Pakistan has become one of the severe natural disasters in the country that has killed millions of people and made a wide impact on the economy, social life, and environment of the region. However, while the focus was mostly on the ground response, human emotions, and sentiments, which were shared on social media, known as dark social media data, were left untapped. …”
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The urban-tech feedback loop: A surveillance and development data-walk in South Lake Union by Dillon Mahmoudi, Anthony Levenda, Alicia Sabatino

“…While digital data collection is integral to capital accumulation, the process is uneven and must be viewed from various angles—including from the perspective of everyday life—to fully understand the emerging inequalities. …”
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A comparative study of intelligent surveillance with big data: methods, strengths, weaknesses, and future directions by Imad Qasim Habeeb, Hanan Najm Abdulkhudhur, Zeyad Qasim Al-Zaydi

“…However, the expansion of complex scenarios and big video data produces many papers describing how this data can be processed, analyzed, saved, and retrieved faster. …”
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Pathomorphology of fetal and mature liver under the lead intoxication and after the correction: the review of experimental data by H. V. Dovhal, M. A. Dovhal, O. A. Romanenko

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Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm by Youping Wu, Zhihui Zhou

“…In this paper, based on the study of current mainstream 3D model data organization methods, geographic grids and map service specifications, and other related technologies, an intelligent urban 3D modeling model based on multisource data point cloud algorithm is designed for the two problems of unified organization and expression of urban multisource 3D model data. …”
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Detection of fraud in public procurement using data-driven methods: a systematic mapping study by Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho

“…However, the literature still lacks a comprehensive study of the types of fraud being investigated and how data-driven techniques are being used to address this problem. …”
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New tourism route planning for the Anyue grottoes in Sichuan, China: Fusion of personalization and data analysis by Yanping Deng, Miaole Hou, Beibei Zhao, Su Yang, Hongchao Fan, Yang Xie

“…This system will leverage the Analytic Hierarchy Process (AHP) and Delphi method to assess the factors influencing the travel decisions of city-life lovers, cultural-attraction seekers, and selective sightseers. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…IntroductionClimate change isone of the major challenges facing the world today, causing frequent extreme weather events that significantly impact human production, life, and the ecological environment. Traditional climate prediction models largely rely on the simulation of physical processes. …”
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FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data by Manal Alrawis, Farah Mohammad, Saad Al-Ahmadi, Jalal Al-Muhtadi

“…<b>Background/Objectives:</b> Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor dysfunction, cognitive decline, and a diminished quality of life. Early and accurate diagnosis is essential for effective disease management. …”
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Real-World Data Simulation Comparing GHG Emissions and Operational Performance of Two Sweeping Systems by Bechir Ben Daya, Jean-François Audy, Amina Lamghari

“…Using simulation models based on real-world data and integrating fuel consumption models, the analysis replicates sweeping behaviors to assess both operational and environmental performance. …”
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Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data by Matthew Alberts, Sam St. John, Simon Odie, Anahita Khojandi, Bradley Jared, Tony Schmitz, Jaydeep Karandikar, Jamie B. Coble

“…Chatter, a self-excited vibration phenomenon, is a critical challenge in high-speed machining operations, affecting tool life, product surface quality, and overall process efficiency. …”
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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detectionMendeley Data by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, Imran Mahmud, Syed Md. Minhaz Hossain

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Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation by Yajing Chen, Urs Liebau, Shreyas Mysore Guruprasad, Iaroslav Trofimenko, Christine Minke

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Survey of parasitic fauna data from wild animals through coproparasitological diagnosis in Southern Brazil by Julia Somavilla Lignon, Diego Moscarelli Pinto, Tamires Silva dos Santos, Giulia Ribeiro Meireles, Camila Gonçalves da Silveira, Bianca Conrad Bohm, Felipe Geraldo Pappen, Silvia Gonzalez Monteiro, Mauro Pereira Soares, Raqueli Teresinha França, Fábio Raphael Pascoti Bruhn

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Health‐Related Quality of Life and Everyday Functioning in the Flood‐Affected Population in Germany ‐ A Case Study of the 2021 Floods in West Germany by Nivedita Sairam, Anna Buch, Marie‐Luise Zenker, Lisa Dillenardt, Michaela Coenen, Annegret H. Thieken, Caroline Jung‐Sievers

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Concepts of healthy and environmentally sustainable diets clash with a life in transition – Findings from a qualitative study in urban Burkina Faso by Hannah Fülbert, Souleymane Zoromé, Roch Modeste Millogo, Ina Danquah, Alina Herrmann

“…The interviews were conducted in Mooré and French, audio-recorded, and transcribed verbatim. Data were analysed inductively, using thematic analysis. …”
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Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study by Andrew Houston, Sophie Williams, William Ricketts, Charles Gutteridge, Chris Tackaberry, John Conibear

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EHRA classes, additional cardiovascular risk and quality of life in patients during the first six months of atrial flutter and atrial fibrillation radiofrequency by M. S. Brynza, M. I. Yabluchanskіy

“…Standard statistical procedures were performed for data processing using Microsoft Excel. Results. …”
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Consequential-based life cycle assessment of reducing the concentrates supply level in the diet fed to lactating cows in the alpine dairy farming system by Marco Berton, Stefano Bovolenta, Luigi Gallo, Maurizio Ramanzin, Mirco Corazzin, Enrico Sturaro

“…This study aimed to assess the consequences of reducing the concentrates supply level (CSL) in the lactating cows’ diet on Alpine dairy system’s GHG emissions. Consequential-based Life Cycle Assessment (cLCA) was adopted to assess the consequences within the ‘dairy_system’ (farm plus milk processing) and outside (‘expanded_system’). …”
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