Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Ethical considerations, including data privacy and the interpretability of complex AI algorithms, also warrant careful attention. …”
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ETIA: Enhancing Text2Image Surround View Scene Generation With Semantic Annotation via Diffusion for Autonomous Driving by Ramyashree, S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, P. Malashree

“…Generating high-fidelity surround view images from text prompts is a complex task that requires balancing contextual coherence with computational efficiency. …”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In response to the complex format of satellite data from multiple channels, CMA has developed a standard format of high time-sensitive satellite data splicing technology in the pre-processing of satellite data assimilation, which effectively reduces the negative impact of the time lag of whole-orbit satellite data on operational numerical prediction. …”
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LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience by Emil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Oliviu Matei

“…The iterative refinement process, evaluated through comprehensive metrics including Accuracy (A), Complexity (C), and Interoperability (I), represents a significant advancement in automated API security testing, offering an efficient, accurate, and adaptable approach to detecting BOLA vulnerabilities across diverse API architectures.…”
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A Hybrid Path Planning Algorithm for Orchard Robots Based on an Improved D* Lite Algorithm by Quanjie Jiang, Yue Shen, Hui Liu, Zohaib Khan, Hao Sun, Yuxuan Huang

“…These results confirm the method’s strong applicability in complex, constrained orchard environments and its potential as a foundation for efficient, safe, and fully autonomous agricultural robot operation.…”
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Estimation of Serum TLR-9,TNF-α, and IL-6 Levels in the Iraqi Patients Diagnosed as Acute Myelogenous Leukemia by Maryam Qasim Mohammed, Ali Hussein Alwan, Asmaa Amer Almukhtar

“…This may indicate the complex environment of inflammation. However, there was a strong correlation between TNF- α and IL-6 with a P-value (0.001). …”
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Research on TOC Log Evaluation Method Based on PCA-BP Neural Network by SHANG Yazhou, XU Duonian, ZHANG Zhaohui, LIU Jianyu, ZHAO Wenwen

“…Firstly, the variance inflation factor is used to detect the collinearity between the logging curves. …”
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Measurement of contact pattern displacement of hypoid gears with optical thermal camera by Stefan GERDHENRICHS, Manuel OEHLER, Daniel BUSCHMANN, Robert Heinrich SCHMITT, Oliver KOCH

“…With increasing load, the size and the inner temperature of the contact pattern rise and a deflection to the heel is detected for drive and coast flank. Using a linear approach, the load and contact pattern parameters are showing a high correlation (R2 > 0.9) coefficient. …”
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High-precision segmentation and quantification of tunnel lining crack using an improved DeepLabV3+ by Zhutian Pan, Xuepeng Zhang, Yujing Jiang, Bo Li, Naser Golsanami, Hang Su, Yue Cai

“…Current semantic segmentation models have limitations in addressing tunnel lining crack, such as high complexity, misidentification, or inability to detect tiny cracks in specific practical scenarios, which is crucial for precise assessment of tunnel lining health. …”
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Design Considerations for 1.6 Tbit/s Data Center Interconnects: Evaluating IM/DD and Coherent Transmission over O-Band Transmission Window by Adrian A. Juarez, Yanjun Zhu, Xin Chen, Ming-Jun Li

“…Yet, reducing coherent transmission complexity is desirable for cost-effective and power-efficient data center applications. …”
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A Deep Learning Inversion Method for Airborne Time-Domain Electromagnetic Data Using Convolutional Neural Network by Xiaodong Yu, Peng Zhang, Xi Yu

“…Due to the high detection efficiency of the airborne time-domain electromagnetic method, it can quickly collect electromagnetic response data for large area-wide regions, but it also brings great challenges to the inversion interpretation of the data because there are numerous survey data that need to be inverted. …”
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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges by Ceray Aldemir, Tuğba Uçma Uysal

“…The study reveals that AI-driven solutions such as predictive analytics, fraud detection systems, and automated reporting significantly improve operational efficiency, transparency, and decision making. …”
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STUDY OF FEATURES OF MICROFLORA OF PATIENTS WITH DISEASES OF THE ORAL MUCOSA. EVALUATION OF THE EFFICACY OF PRODUCTS BASED ON BACTERIOPHAGES "FAGODENT" IN THE TREATMENT OF CHRONIC... by E. A. Volkov, M. L. Polovets, K. E. Isadzhanyan, G. S. Pashkova, V. V. Nikitin, V. M. Popova, E. L. Zhilenkov

“…Effective complex treatment of patients with pathology of the oral mucosa (OM) includes drug effects on pathogenic bacteria as a possible etiological factor in the development of these diseases.Purpose. …”
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Determination of Beryllium and Tin in Beryllium Ore by Inductively Coupled Plasma-Mass Spectrometry with Alkali Fusion by Xuedong CHANG, Jing DU, Wenming SUN, Guoqiang XU, Amina HOJI, Ruirui DONG

“…The linear relationship between beryllium and tin was good in the concentration range of 5−2000ng/mL, and the correlation coefficients were greater than 0.999. The detection limits of beryllium and tin were 0.20μg/g and 0.17μg/g respectively. …”
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Liver cancer: expression features of hepatitis B antigens by V. A. Tumanskiy, M. D. Zubko

“…Expression of HBcAg and HBsAg was detected in the tumor cholangiocytes in undifferentiated tumor cells and sporadic fibroblast cells. …”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis by Jianxiong Chen, Jingtao Wang, Fan Li, Lin Zou

“…Abstract Ensuring airspace safety is crucial for the efficient operation of aviation, especially at high-altitude airports where challenging weather and geographic conditions significantly increase operational complexity. …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Training operators for complex systems demand substantial time and resources, necessitated by safety considerations and the expansive scale of these systems. …”
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Simplified radar architecture based on information metasurface by Si Ran Wang, Zhan Ye Chen, Shao Nan Chen, Jun Yan Dai, Jun Wei Zhang, Zhen Jie Qi, Li Jie Wu, Meng Ke Sun, Qun Yan Zhou, Hui Dong Li, Zhang Jie Luo, Qiang Cheng, Tie Jun Cui

“…This study presents an innovative radar system paradigm that integrates RF front ends and signal processors onto an information metasurface platform, achieving essential sensing functions with reduced system complexity and cost.…”
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Toward Smart SCADA Systems in the Hydropower Plants through Integrating Data Mining-Based Knowledge Discovery Modules by Gheorghe Grigoras, Răzvan Gârbea, Bogdan-Constantin Neagu

“…The increasing importance of hydropower generation has led to the development of new smart technologies and the need for reliable and efficient equipment in this field. As long as hydropower plants are more complex to build up than other power plants, the operation regimes and maintenance activities become essential for the hydropower companies to optimize their performance, such that including the data-driven approaches in the decision-making process represents a challenge. …”
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