A note on the analysis of Herrmann–May lattices for small exponent RSA by Abul Kalam, Sudeshna Karmakar, Santanu Sarkar

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The impact of automation on the safety of drug dispensing in nursing homes by Idoia Beobide Telleria, Alex Ferro Uriguen, Blanca Miró Isasi, Silvia Martínez Arrechea, Maria Isabel Genua Goena

“…This represents a reduction of 91% in dispensing errors. 43 errors reached the patient during the manually dispensing versus 6 during the automated year. …”
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Designing the organizational schizophrenia phenomenon formation pattern with the TISM phase method by Ali Shariatnejad, Zeinab Safari Ahmadvand, Seyedeh Maryam Mousavi

“…Finally, the findings of the qualitative section showed that the organization’s misalignment with changes, along with a lack of coordination between strategies and goals, errors and mistakes in decisions, goal setting and vision, reduction of productivity and efficiency are among the consequences that appear as a result of the phenomenon of organizational schizophrenia. …”
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Automatic pelvic fracture segmentation: a deep learning approach and benchmark dataset by Yanzhen Liu, Sutuke Yibulayimu, Gang Zhu, Chao Shi, Chendi Liang, Chunpeng Zhao, Xinbao Wu, Yudi Sang, Yu Wang, Yu Wang

“…IntroductionAccurate segmentation of pelvic fractures from computed tomography (CT) is crucial for trauma diagnosis and image-guided reduction surgery. The traditional manual slice-by-slice segmentation by surgeons is time-consuming, experience-dependent, and error-prone. …”
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Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…ANN-based models achieved high accuracy in predicting NO_x emissions and flame speed, with some studies reporting mean absolute errors below 5%. GA methods demonstrated effectiveness in fuel blend optimization and geometry design, achieving emission reductions of up to 30% in experimental setups. …”
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Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

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Second Victim Syndrome Among Healthcare Professionals: A Systematic Review of Interventions and Outcomes by Ong TSK, Goh CN, Tan EKYE, Sivanathan KA, Tang ASP, Tan HK, Ng QX

“…Addressing SVS requires a system-wide commitment to fostering a supportive healthcare culture.Keywords: second victim syndrome, SVS, medical errors, healthcare, healthcare professionals…”
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Elbow rotation affects the accuracy of rotational formulas: validation of a modified method by Yong Liu, Xiaoju Liang, Jianping Sun, Jining Qu, Bohai Qi, Yating Yang, Qiang Jie

“…Five physicians measured and calculated displacement using both the primitive and modified rotational calculation formulas. Results The PRCF method showed an average error of 17.98° ± 12.31° with a maximum error of 46.46%. …”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…The simulations and tests results demonstrate the method’s effectiveness, achieving a balance of optimized convergence speed, reduction in steady-state error, and minimized computational complexity.…”
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Improving the trial efficiency of criminal cases with the assistance of artificial intelligence by Qingxia Chen

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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

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Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…Considering the significance of features, n-Heptane (0.54) and irradiation time (0.45) were the key predictors, with n-heptane showing slightly greater impact on error reduction. The application of this model to additional datasets from other oil fields shows significant promise for future research and practical implementation.…”
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Development of Credibility Enhancement Method of Oil Products Metering at the Fuel Storage Depots by A. G. Godnev

“…Application of such method and equipment allows to interpret unmanageable systematic error of the fuel dispenser as a random one and (with more statistics available) to reduce resulting error of fuel dispenser from ±0.25 % practically up to до ±0.05 %.…”
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Crushing Force Prediction Method of Controlled-Release Fertilizer Based on Particle Phenotype by Linlin Sun, Xiubo Chen, Zixu Chen, Linlong Jing, Jinxing Wang, Xinpeng Cao, Shenghui Fu, Yuanmao Jiang, Hongjian Zhang

“…The proportion of predictions within the −10% to +10% error range reached 0.82, 0.82, and 0.86 for the three fertilizers, confirming the high reliability and accuracy of the PSO-SVM method for non-destructive testing.…”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…The calculated results at the pile head show an 18% reduction in error compared to previous studies. The average error compared with field test results is within 20%, with consistent trend patterns, confirming the feasibility of the proposed method. …”
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An adaptive continuous threshold wavelet denoising method for LiDAR echo signal by Dezhi Zheng, Tianchi Qu, Chun Hu, Shijia Lu, Zhongxiang Li, Guanyu Yang, Xiaojun Yang

“…Experimental results show that denoising of an actual LiDAR echo signal results in a 4.37 dB improvement in SNR and a 39.5% reduction in RMSE. The proposed method significantly enhances the ability of single-photon LiDAR to detect weak signals.…”
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A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

“…Firstly, a combination of histogram equalization and wavelet denoising is chosen to preprocess the training sample images to obtain the face image light invariance description, and then, the initial dictionary is constructed using the dimensionality reduction performance of the PCA method; next, the initial dictionary is updated, and a new dictionary with representation and discrimination capabilities is obtained using the LC-KSVD algorithm that makes improvements in the dictionary update stage. …”
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High-Contrast Imaging: Hide and Seek with Exoplanets by Riccardo Claudi, Dino Mesa

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Overhead Transmission Line Modeling Strategies for EMT-Based Traveling-Wave Analysis and Fault Location by Adrian Wilmer Diaz Sarmiento, Jaimis Sajid Leon Colqui, Jose Pissolato Filho

“…The results show that: 1) uniform soil resistivity assumptions introduce negligible errors in TW arrival times despite minor amplitude variations; 2) shield wires significantly affect modal structure, compromising the effectiveness of Clarke transformation for ground quasi-mode decoupling while preserving aerial quasi-mode reliability; 3) exact eigenvector-based decomposition improves ground mode identification but remains impractical for field applications; 4) the classical two-terminal fault location method maintains high accuracy across all modeling configurations; and 5) simplified OHTL modeling uniformly distributed sections at both terminals achieves an optimal balance between accuracy and computational efficiency for simulating TWs. …”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…More importantly, the method exhibits superior estimation accuracy. Under simulated conditions, the root mean square errors of amplitude, frequency, and phase estimation are reduced by over 20% relative to the ratio correction and energy centroid methods. …”
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