From Application-Driven Growth to Paradigm Shift: Scientific Evolution and Core Bottleneck Analysis in the Field of UAV Remote Sensing by Denghong Huang, Zhongfa Zhou, Zhenzhen Zhang, Xiandan Du, Ruiqi Fan, Qianxia Li, Youyan Huang

“…Unmanned Aerial Vehicle Remote Sensing (UAV-RS) has emerged as a transformative technology in high-resolution Earth observation, with widespread applications in precision agriculture, ecological monitoring, and disaster response. …”
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Computational prediction of deleterious nonsynonymous SNPs in the CTNS gene: implications for cystinosis by Leila Adda Neggaz, Amira Chahinez Dahmani, Ibtissem Derriche, Nawel Adda Neggaz, Abdallah Boudjema

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FLC-Net: Innovative fraud classification in loan applications with dual channel graph advanced neural network by P. Pedda Sadhu Naik, Kalleda Appanolla Architha, Maddela Mahesh, Chitkula Anand, Gaddam Shriya Reddy, Patlola Suraj Reddy

“…Existing systems often face challenges such as poor detection accuracy due to imbalanced datasets and high false-positive rates, limiting their efficiency in real-world applications. The proposed Fraudulent Loan Classification Network (FLC-Net) addresses these limitations by integrating robust data preprocessing techniques, including missing value imputation, outlier removal, and normalization, to enhance data quality and consistency. …”
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Application of the Achievements of the Fourth Industrial Revolution to Prevent Emergencies Caused by Global Climate Change by D. V. Mun

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Ethical Dilemmas in the Clinical Application of Medical Artificial Intelligence: From Information Systems to Robotics by Lanying WANG, Rui ZHENG, Xianwei LIU

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Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…AI (machine learning or deep learning all belong to AI) has phenomenal potential in revolutionizing healthcare such as enhanced diagnostic precision, personalized treatment, better-quality patient outcomes along with cost reduction, etc. Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
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Application of Criminal Offenders Misuse of National Identification Numbers for Phone Card Registration in Makassar City by Sri Buyung, Marilang, Ashabul Kahfi

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Impact of parallel planning on residency match rate success by Debra Rusk, Ashley Holt, Brianna Harvey, Anthony Shanks

“…Abstract Background Medical students targeting competitive specialties or those with lower competitiveness for their preferred specialty are encouraged to parallel apply to a less competitive field. The AAMC provides data on the number of applicants who parallel apply but little information exists on their match success. …”
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Using Interpretable Artificial Intelligence Algorithms in the Management of Blunt Splenic Trauma: Applications of Optimal Policy Trees as a Treatment Prescription Aid to Improve Pa... by Vahe S. Panossian, Yu Ma, Bolin Song, Jefferson A. Proaño-Zamudio, Veerle P. C. van Zon, Ikemsinachi C. Nzenwa, Azadeh Tabari, George C. Velmahos, Haytham M. A. Kaafarani, Dimitris Bertsimas, Dania Daye

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Clinical application and economics of five short-acting combined oral contraceptives over five years of obstetrics and gynecology practice in China based on real-world study by J. Jin, J. Tang

“…Objective: We aimed to better understand the clinical application and economics of five commonly used combined oral short-acting contraceptives (COCs) by analyzing big data collected from an obstetrics and gynecology hospital in China. …”
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Prognostic value of myocardial flow reserve by PET imaging in patients with suspected coronary artery disease: A systematic review and meta-analysis by Adriana D’Antonio, Roberta Assante, Emilia Zampella, Valeria Cantoni, Roberta Green, Valeria Gaudieri, Teresa Mannarino, Maria Falzarano, Federica Volpicelli, Paolo Cutillo, Francesca Matrisciano, Pietro Buongiorno, Mariarosaria Panico, Carmela Nappi, Domenico Cozzolino, Mario Petretta, Alberto Cuocolo, Wanda Acampa

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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

“…ConclusionsThe results of this study provide a technical method for the high-fidelity processing of seismic data from structurally complex areas. This method is especially applicable to the analysis and anisotropic inversion of AVO/amplitude versus frequency (AVF) attributes.…”
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A Bayesian inference with Hamiltonian Monte Carlo (HMC) framework for a three-parameter model with reliability applications

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Research and Application of A Comprehensive Monitoring Platform for Coal Conveyor Gallery Based on Multi-Dimensional Information Fusion by CUI Xiaohui, MA Xiaodong, LIU Mingsheng, CHEN Xiaodong, ZHANG Hanqing

“…These functions were designed through an analysis of key technologies such as multi-source transmission, intelligent scheduling engine, fault diagnosis, and augmented reality (AR), while leveraging industrial digital twin and multi-dimensional data fusion technologies. Subsequent on-site applications demonstrated that the platform facilitated unmanned patrol inspection, intelligent alarming, and visual management at the coal conveyor gallery site, thereby improving the operational safety and enhancing the efficiency of operation and maintenance. …”
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SDI-Enabled Smart Governance: A Review (2015–2025) of IoT, AI and Geospatial Technologies—Applications and Challenges by Sofianos Sofianopoulos, Antigoni Faka, Christos Chalkias

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Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data by Molly Ehrig, Garrett S Bullock, Xiaoyan Iris Leng, Nicholas M Pajewski, Jaime Lynn Speiser

“…ObjectivesThis study aims to conduct a simulation study to evaluate whether the missing indicator method improved model performance and imputation accuracy for longitudinal data mimicking an application of developing a clinical prediction model for falls in older adults based on electronic health record data. …”
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Application of a Bicubic Quasi-Uniform B-Spline Surface Fitting Method for Characterizing Mesoscale Eddies in the Atlantic Ocean by Chunzheng Kong, Shengyi Jiao, Xuefeng Cao, Xianqing Lv

“…The direct fitting of sea level anomaly (SLA) using satellite along-track data provides a critical approach for monitoring mesoscale ocean dynamics. …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…These datasets pose challenges due to the complexity of the vascular tree, making it difficult to convert raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into meaningful representations. Without proper reconstruction, skeletonization, and graph representation, raw <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data remains an unstructured point cloud, unsuitable for quantitative analysis. …”
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What we do with data: a performative critique of data 'collection' by Garfield Benjamin

“…It also discusses alternative terms and the implications of how we describe practices of ‘collecting’ data.…”
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Soil and vegetation responses to biochar application in terms of its feedback on carbon sequestration under different environmental conditions—LiDELS model overview by M Maslouski, A Eschenbach, C Beer, S Thomsen, P Porada

“…Model validation shows strong agreement with observed data for soil moisture, temperature, and CO _2 flux, confirming LiDELS’s applicability across varying soil textures, vegetation types, and biochar treatments. …”
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