EVALUATION OF EXPRESSION OF 4 MIRNAS IN CYTOLOGICAL SAMPLES AS AN ADDITIONAL METHOD OF CERVICAL CANCER DIAGNOSIS by P. A. Arkhangelskaya, R. B. Samsonov, T. A. Shtam, M. S. Knyazeva, M. K. Ivanov, S. E. Titov, N. N. Kolesnikov, E. V. Bakhidze, I. V. Berlev, A. А. Mikhetko, S. L. Vorobyev, A. V. Malek

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MSANet: LiDAR-Camera Online Calibration with Multi-Scale Fusion and Attention Mechanisms by Fengguang Xiong, Zhiqiang Zhang, Yu Kong, Chaofan Shen, Mingyue Hu, Liqun Kuang, Xie Han

“…Sensor data fusion is increasingly crucial in the field of autonomous driving. In sensor fusion research, LiDAR and camera have become prevalent topics. …”
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Delay–Doppler Block Division Multiplexing: An Integrated Navigation and Communication Waveform for LEO PNT by Dong Fu, Honglei Lin, Yinan Meng, Jing Peng, Gang Ou, Shaojing Wang

“…Moreover, data transmission in the DD domain exhibits a low bit error rate in high-mobility channels, which enables fast and reliable navigation augmentation information for users. …”
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The Future of Vineyard Irrigation: AI-Driven Insights from IoT Data by Simona Stojanova, Mojca Volk, Gregor Balkovec, Andrej Kos, Emilija Stojmenova Duh

“…We designed, developed, and tested a Long Short-Term Memory (LSTM) model, which achieved a Mean Squared Error (MSE) of 0.37, and evaluated its performance against a simpler baseline linear regression (LinReg) model, which yielded a higher MSE of 1.29. …”
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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

“…The extracted temperature field data was used to train a DeepONet neural network, which achieved accurate temperature predictions (with a L2 relative error of 1.5689% and an R² score of 0.9991) while operating faster than conventional finite element analysis. …”
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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…This research introduces a cutting-edge approach to traffic infrastructure digitization, integrating UAV oblique photography with LiDAR point clouds for high-precision, lightweight 3D road modeling. …”
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Human Capital Development and Public Health Expenditure: Assessing the Long-Term Sustainability of Economic Development Models by Ngesisa Magida, Thobeka Ncanywa, Kin Sibanda, Abiola John Asaleye

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Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation by Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Sušnjak

“…Despite the abundance of scientific publications, the manual extraction of these data via systematic literature reviews remains a significant bottleneck, requiring extensive time and resources, and is susceptible to human error. This study examines the application of a large language model (LLM) as an assessor for screening prioritisation in climate-sensitive zoonotic disease research. …”
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Molecular Detection of the Grapevine Pathogens <i>Plasmopara viticola</i> and <i>Erysiphe necator</i> from Airborne Inoculum Collector Cyclones by Joaquín Balduque-Gil, Ana Garcés-Claver, Inés Pérez-Lamuela, Juan J. Barriuso-Vargas, Oreto Fayos

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AI-Driven Adaptive Communications for Energy-Efficient Underwater Acoustic Sensor Networks by A. Ur Rehman, Laura Galluccio, Giacomo Morabito

“…GNU Radio simulations evaluate the framework effectiveness using metrics like energy consumption, bit error rate, throughput, and delay. Adaptive transmission strategies implicitly ensure reduced energy usage as compared to non-adaptive transmission solutions employing fixed communication parameters. …”
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Integration of BIM and ar with VSLAM to assist in construction site inspection by Wei-Liang Kuo, Bo-Kai Huan, Shang-Hsien Hsieh, Yuan-Hao Tsai, Yun-Tsui Chang

“…Additionally, signal or Internet connectivity issues may limit positioning technologies. Secondly, human error or interference is common in traditional inspection processes due to their complexity. …”
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Reported Challenges in Deep Learning-Based Human Pose Estimation: A Systematic Review by Nagwa R. Fisal, Ahmed Fathalla, Dina A. Elmanakhly, Ahmad Salah

“…The review presents a number of findings, such as the most widely utilized architecture in HPE literature is the residual network, the mean square error is the most frequently used loss function. …”
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Energy-Efficient Optimal Control of Crude Distillation Columns Using Proportional-Integral-Plus (PIP) Framework: A Simulation-Based Approach by Mir Mohammad Khalilipour, Farhad Shahraki, Jafar Sadeghi, Kiyanoosh Razzaghi

“…Objective: The objective of this research is to optimize the crude distillation unit (CDU) in oil refineries by reducing energy consumption and improving operational efficiency through the application of a Proportional-Integral-Plus (PIP) control system within a Non-Minimal State Space (NMSS) framework. …”
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Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

“…Research Topic: This study examines 24-hour cumulative precipitation data in Iran and predicts rainfall amounts over various time periods using data mining and machine learning. …”
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Hydraulic fracturing radioactive source tracing technology based on hydraulic fracturing tracing mechanics model by Pang Yang, Song Yushou, Pan Qun, Zhao Lin

“…In addition, the model can accurately infer the fractures of hydraulic fracturing wells, with a variance of 148.9, a coefficient of determination of 0.81, and a root mean square error of 1.87. In terms of production, the oil production reaches 104.2 m3, accounting for 20.4% of the total oil production, and the water production reaches 47.6 m3, accounting for 15.8% of the total water production. …”
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Blood Glucose Prediction Using Artificial Neural Networks Trained with the AIDA Diabetes Simulator: A Proof-of-Concept Pilot Study by Gavin Robertson, Eldon D. Lehmann, William Sandham, David Hamilton

“…The accuracy of the nocturnal predictions was measured as the root mean square error over five test days (RMSE5 day) not used during ANN training. …”
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From Photogrammetry to Virtual Reality: A Framework for Assessing Visual Fidelity in Structural Inspections by Xiangxiong Kong, Terry F. Pettijohn, Hovhannes Torikyan

“…Traditionally, these structures are inspected in situ by qualified engineers, a method that is high-cost, risky, time-consuming, and prone to error. Recently, researchers have explored innovative practices by using virtual reality (VR) technologies as inspection platforms. …”
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An Adaptive Optimization Method for Acoustic Temperature Measurement Topology Based on Multiple Sub-Objectives by Jialiang Zhu, Xinzhi Zhou, Hailin Wang, Yixiao Chen, Tao Xu, Zhengxi He

“…In engineering, a simple uniform placement or trial-and-error methods are often used to determine the transducer topology. …”
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Estimation of parameters for the modified Weibull distribution under step-stress accelerated life testing with application to aircraft windshields data by Mohammed M. A. Almazah, Mohammed A. Alshahrani, Qasim Ramzan, Irfan Ali Raza, Muhammad Tahir, Zahoor Ahmad

“…Abstract In the field of engineering, precise estimation and reliability analysis are vital for ensuring the safety and performance of systems. This research employs several advanced statistical techniques to achieve these objectives. …”
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Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology by Tian-Bing Ma, Qiang Wu, Fei Du, Wei-Kang Hu, Yong-Jing Ding

“…Results show that the improved algorithm in our study has the best threshold segmentation effect, the error classification can be close to 0.0003, and the minimum deviation of the obtained vibration displacement is close to 0.1 pixels, which can realize the accurate extraction of the vibration signal of the vertical shaft tank. …”
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