Monitoring Method and Performance Analysis of Climbing Scaffolds in Super High-Rise Buildings Based on BeiDou/GNSS Technology by Pengfei Wang, Gen Liu, Jian Wang, Ping Zhu, Jiaqi Guo, Jingxuan Zhang, Heyu Zhang, Yijia Liu

“…Experimental results demonstrated that the system effectively reduced high-frequency noise and gross errors, achieving root mean square error (RMSE) reductions of 51.4% in the E direction, 45.5% in the N direction, and 49.6% in the U direction. …”
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Design of a logistics warehouse robot positioning and recognition model based on improved EKF and calibration algorithm by Yunbo Wang, Chao Ye

“…This research offers robust positioning and mapping capabilities in logistics warehousing environments, effectively identifying errors and ensuring pallet accuracy. The detection error and accuracy of this method are better than the other three models, with the lowest average absolute error of 0.32 and the lowest root-mean-square error of 0.27, and the overall error in the detection of pallets is small. …”
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Circuit-Based Leakage-to-Erasure Conversion in a Neutral-Atom Quantum Processor by Matthew N. H. Chow, Vikas Buchemmavari, Sivaprasad Omanakuttan, Bethany J. Little, Saurabh Pandey, Ivan H. Deutsch, Yuan-Yu Jau

“…We benchmark the performance of the LDU using a three-outcome low-loss state-detection method and find that the LDU detects atom-loss errors with approximately 93.4% accuracy, limited by technical imperfections of our apparatus. …”
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Improved K-Means Algorithm for Nearby Target Localization by Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma

“…Finally, we propose an invalid compensation algorithm to filter out invalid signals, thereby compensating for the estimation errors in angles. Through the collection of real-world data, we compare the performance of the traditional direction finding and cross-fixing algorithms with the proposed algorithm in the localization of nearby target points. …”
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Adaptive Syndrome Extraction by Noah Berthusen, Shi Jie Samuel Tan, Eric Huang, Daniel Gottesman

“…Compared to nonconcatenated codes and nonadaptive syndrome extraction, we find that the adaptive scheme achieves over an order of magnitude lower logical error rates while requiring fewer cnot gates and physical qubits. …”
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Variant filters using segregation information improve mapping of nectar‐production genes in sunflower (Helianthus annuus L.) by Ashley C. Barstow, James P. McNellie, Brian C. Smart, Kyle G. Keepers, Jarrad R. Prasifka, Nolan C. Kane, Brent S. Hulke

“…In finding nine putative homologs of Arabidopsis genes with nectary function within QTL regions, we demonstrate that this filtering strategy has a higher power of true variant detection in QTL mapping than the commonly used variant depth filtering strategy. …”
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cONcat: Computational reconstruction of concatenated fragments from long Oxford Nanopore reads. by Alexander J Petri, Mai Thi-Huyen Nguyen, Anjali Rajwar, Erik Benson, Kristoffer Sahlin

“…In our experiments on simulated and experimental data, cONcat accurately detects the correct fragment coverings given the short fragment sizes (< 20 bp) and the sequencing errors present in ONT reads. …”
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Optimal Color Model for Information Hidingin Color Images by Baghdad Science Journal

“…The same procedures of embedding, detection and evaluation were applied to find which color model is most appropriate for information hiding. …”
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Displacement-Sensing Method Based on Residual Scaling for One-Shot MMF Specklegram Prediction by Bohao Shen, Jianzhi Li

“…This work modifies the fully connected layer of a residual network (ResNet) to achieve displacement prediction and applies residual scaling to reduce prediction errors in the one-shot learning task. Under stable environmental conditions, experimental results show that this method achieves an average error as low as 0.0083 mm in displacement prediction with resolution of 0.01 mm; meanwhile, the measurement range reaches 18 mm. …”
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Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

“…This research addresses this issue by analyzing the error distribution in forecasts of weekly deaths. …”
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A Typical Lens Coloboma – A Rare Cause of Childhood Blindness by Punita Garg, Parul Aggarwal, H.K Sidhu

“…Best Corrected Visual acuity (BCVA) was Finger Counting at 3 metre and on retinoscopy, it was found to be a hypermetropic astigmatic refractive error, which lead to amblyopia. Slit lamp examination revealed superior iris coloboma with a small lens coloboma. …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…However, the map becomes inconsistent when the robot moves in the environment and detects errors with emotional accuracy. The loop-closure detection is the process through which a robot can acknowledge the location visited previously, which can identify the ultimate solution to the previous problem. …”
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Non-Invasive Glucose Monitoring Technologies Innovations Applications and Future Directions by Wu Kerui

“…This comprehensive review analyzes principle innovations and industrial applications of non-invasive glucose monitoring technologies, employing technical evolution pathway analysis and clinical data benchmarking to evaluate seven methodological paradigms - including spectroscopy, electrochemistry, and microwave sensing - along with their translational achievements in wearable devices and healthcare systems. Key findings demonstrate: multi-modal sensing reduces detection errors to 8.7% through signal complementarity, with millimeter-wave radar technology achieving 5-minute continuous monitoring (r=0.912); flexible electronic skin breakthroughs 72-hour operational endurance (sensitivity 0.03nA/(mg/dL)); and intelligent closed-loop systems enhance glycated hemoglobin compliance rates by 42%. …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We investigate how different fitting methods impact accuracy under different noise factors, such as mobile eye-tracker imprecision or detection errors in feature extraction during calibration. …”
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A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles by Jianqiao Chen, Guofu Tian

“…The experimental results clearly indicate that the autonomous vehicle, after PID parameter optimization using a genetic algorithm, demonstrated the following speed tracking errors: when the road surface adhesion coefficient was 0.5, the maximum speed tracking error was 0.22, the average value was 0.063, and the standard deviation was 0.124; when the adhesion coefficient was 0.6, the maximum speed tracking error was 0.180, the average value was 0.056, and the standard deviation was 0.099; when the adhesion coefficient was 0.8, the maximum speed tracking error was 0.179, the average value was 0.056, and the standard deviation was 0.098. …”
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Association of Disability Quotient with Ocular and Systemic Manifestations in Children with Developmental Delay by Meenakshi Wadhwani, Sehzadi Malhotra, Dhulika Dhingra, Manika Manika, Shubhangi Kursange, Rahul Singh, Sneha Kumari, Amit Kumar

“…Delayed cry at birth was found to have a significant association with lower Developmental Quotient (DQ) (P = 0.021) and higher incidence of refractive error (P = 0.036). Refractive error was more prevalent in children with cerebral palsy (P = 0.006). …”
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A general approach for haplotype phasing across the full spectrum of relatedness. by Jared O'Connell, Deepti Gurdasani, Olivier Delaneau, Nicola Pirastu, Sheila Ulivi, Massimiliano Cocca, Michela Traglia, Jie Huang, Jennifer E Huffman, Igor Rudan, Ruth McQuillan, Ross M Fraser, Harry Campbell, Ozren Polasek, Gershim Asiki, Kenneth Ekoru, Caroline Hayward, Alan F Wright, Veronique Vitart, Pau Navarro, Jean-Francois Zagury, James F Wilson, Daniela Toniolo, Paolo Gasparini, Nicole Soranzo, Manjinder S Sandhu, Jonathan Marchini

“…This allows the correction of switch errors, detection of recombination events and genotyping errors. …”
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Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data by Stavros Kolios, Niki Papavasileiou

“…This finding confirms the realistic detection and monitoring of the different satellite-based rainfall products, which should be used for early warning and decision-making regarding potential flood events.…”
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Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years by Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın

“…Conclusions: This finding highlights the potential of AI-driven technologies in enhancing the accuracy and reliability of dental plaque detection and segmentation in pediatric dentistry.…”
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Low-Cost Portable Road Smoothness Testing Method Based on Pseudo-Vibration Velocity Range by Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao

“…Therefore, finding a low-cost, simple, and accurate method for detecting road smoothness is of great significance. …”
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