In-depth immunochemical characterization of the serum antibody response using a dual-titration microspot assay by Ágnes Kovács, Ágnes Kovács, Zoltán Hérincs, Krisztián Papp, Jakub Zbigniew Kaczmarek, Daniel Nyberg Larsen, Daniel Nyberg Larsen, Pernille Stage, László Bereczki, Eszter Ujhelyi, Tamás Pfeil, Tamás Pfeil, József Prechl

“…Antigen specific humoral immunity can be characterized by the analysis of serum antibodies. While serological assays for the measurement of specific antibody levels are available, these are not quantitative in the biochemical sense. …”
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Navigating Pregnancy Testing in Chronic Pain Management for Women of Reproductive Age by Tamura S, Vardhan S, Breidenbach K, Shaparin N, Vydyanathan A, Gritsenko K

“…It highlights challenges in evaluating pregnancy status before initiating pharmacologic or fluoroscopic procedures, and it examines both biological testing limitations and procedural risks.Results: Fluoroscopically guided procedures may exceed the teratogenic radiation threshold of 50 mGy, underscoring the critical need for reliable pregnancy screening. While urine and serum hCG tests are widely used, both are susceptible to false negatives and positives due to timing, hormone variants, and analytical interferences. …”
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Modeling of train flow handling through a limiting single-track section of the route at the organization of high-speed operation using the existing infrastructure by S. V. Karasev, A. D. Kalidova

“…The article examines the problem of studying the process of handling the opposing train flows through a single track section of the route by modeling for the conditions of organizing high-speed operation while minimizing capital investments in infrastructure. …”
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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…By applying hyperspectral imaging and a one-dimensional deep learning algorithm, we detect and classify impurities in seed cotton after harvest. …”
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Grey-Box Modelling of District Heating Networks Using Modified LPV Models by Olamilekan E. Tijani, Sylvain Serra, Patrick Lanusse, Rachid Malti, Hugo Viot, Jean-Michel Reneaume

“…However, this research does not implement DRTO; instead, it develops a fast grey-box linear parameter varying (LPV) model for future integration into the DRTO algorithm. A high-fidelity physical model replicating theoretical time delays in pipes serves as a reference for model validation. …”
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Cyberdelics: Virtual reality hallucinations modulate cognitive-affective processes by Giulia Brizzi, Chiara Pupillo, Clara Rastelli, Antonino Greco, Luca Bernardelli, Anna Flavia Di Natale, Silvia Francesca Maria Pizzoli, Elena Sajno, Fabio Frisone, Daniele Di Lernia, Giuseppe Riva

“…The complex emotional and autonomic profile mimicked awakened relaxation that, in conjunction with the cognitive flexibility enhancement, could offer the unique opportunity to exploit psychedelic advantages while mitigating risks, opening new avenues for therapeutic approaches.…”
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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…First, the existing collected Vehicle Re-ID data often have low resolution and blur in local regions, so that the Vehicle Re-ID algorithm cannot accurately extract subtle feature representations. …”
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Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration by Xinyue Hao, Emrah Demir, Daniel Eyers

“…These interviews targeted key HI agents, operations managers, data scientists, and algorithm engineers, and were situated within carefully selected, AI-rich scenarios. …”
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Biomimetic Computing for Efficient Spoken Language Identification by Gaurav Kumar, Saurabh Bhardwaj

“…Further, the selection of features is performed by DBO algorithm, which removes redundant features and helps to improve efficiency and accuracy. …”
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Fatty Acids of European Sardine (<i>Sardina pilchardus</i>) White Muscle Can Discriminate Geographic Origin Along the Iberian Atlantic Coast by Ricardo Calado, Marcos Palma, Maria Rosário Domingues, Fernando Ricardo, Felisa Rey

“…The present study investigated the potential use of <i>S. pilchardus</i> white muscle fatty acids (FAs) to successfully discriminate the geographic origin of samples obtained in seven commercially important fishing harbors along the Iberian Atlantic Coast. While 35 FAs were identified using gas chromatography–mass spectrometry in the white muscle of <i>S. pilchardus</i>, the following, as determined by the Boruta algorithm, were key for sample discrimination: 14:0, 22:6<i>n</i>-3, 22:5<i>n</i>-3, 18:0, 20:5<i>n</i>-3, 16:1<i>n</i>-7, 16:0, and 18:1<i>n</i>-7 (in increasing order of relevance). …”
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AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

“…Our framework models key regulatory and tissue-scale interactions in a biophysically realistic fashion, capturing the inherent stochasticity of intracellular gene expression and intercellular signaling, while efficiently simulating these processes by advancing event-driven simulation techniques. …”
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Analysis and Suppression of Harmonic Deteriorations Related to a Few-Submodule and Low-Switching-Frequency MMC-Based UPFC by Zhijun Chen, Jun Wang, Ke Zhang, Chao Yu, Yuting Zou, Yunlong Zhao, Mengjie Zhang, Chuyang Wang

“…Analyzing and suppressing the capacitor voltage ripple at low switching frequencies can maintain capacitor voltage stability while significantly reducing the switching frequency. …”
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FCB-YOLOv8s-Seg: A Malignant Weed Instance Segmentation Model for Targeted Spraying in Soybean Fields by Zishang Yang, Lele Wang, Chenxu Li, He Li

“…Additionally, field tests on plots with varying weed densities and operational speeds indicated an average segmentation rate of 91.30%, which is 6.38% higher than the original model. The proposed algorithm shows higher accuracy and performance in practical field instance segmentation tasks and is expected to provide strong technical support for promoting targeted spray operations.…”
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Optimizing Automatic Voltage Control Collaborative Responses in Chain-Structured Cascade Hydroelectric Power Plants Using Sensitivity Analysis by Li Zhang, Jie Yang, Jun Wang, Lening Wang, Haiming Niu, Xiaobing Liu, Simon X. Yang, Kun Yang

“…These results substantially improve grid stability and operational efficiency while establishing a more adaptable voltage control framework for large-scale hydropower integration. …”
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Soil Moisture Detection and Linear Deceleration Control Strategy Enhancing Trenching Depth Precision and Stability for Rapeseed Sowing by Peiru Xu, Jianchuan Kou, Minghang Wang, Tianyu Tu, Xiaoling Chen, Jie Luo, Jianfeng Hu, Xiaolong Lei

“…A control strategy that incorporated the Kalman filtering algorithm and linear deceleration equations was conducted. …”
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Adaptive filter parameter reconstruction technology for rocket inertial navigation/satellite integrated navigation system by Zhijie Yang, Guoguang Chen, Mingli Niu, Xiaolong Yan, Xiaoli Tian, Guocui Zhang

“…The results from the Six-Degree (6D) Model simulation and car-mounted experiments demonstrate that, compared to the traditional Extended Kalman Filter (EKF) algorithm and existing improved algorithms, the AREKF method significantly enhances the real-time navigation accuracy of rockets under high overload conditions.…”
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Enabling Quantum-Resistant EDHOC: Design and Performance Evaluation by Lidia Pocero Fraile, Georgios Tasopoulos, Christos Koulamas, Raymond K. Zhao, Nazatul Haque Sultan, Francesco Regazzoni, Apostolos P. Fournaris

“…However, because of the vulnerability of the discrete logarithm problem to Shor&#x2019;s algorithm, a quantum resistant replacement for Diffie-Hellman is required. …”
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Optimization of Urban Rail Transit Train Stock Utilization under Re-coupling Operation Mode by DENG Chengyuan, LU Jinsheng, ZHU Changfeng, SUN Yuanguang, MA Bin

“…［Objective］ Re-coupling operation mode can effectively improve the matching degree between the passenger flow and the transport capacity of urban rail transit, while it also poses challenges to the formulation of the train stock utilization plan. …”
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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints by Danyang Li, Hongpeng Liu, Jingwei Zhang, Xu Han, Shuxin Zhang

“…A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. …”
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Autonomous Search of Real-Life Environments Combining Dynamical System-Based Path Planning and Unsupervised Learning by Uyiosa Philip Amadasun, Patrick Mcnamee, Zahra Nili Ahmadabadi, Peiman Naseradinmousavi

“…Across all three simulated environments of increasing complexity, BCPP consistently achieved shorter coverage times than our CCPP algorithm. However, an interesting pattern emerged when analyzing the relative performance degradation. …”
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