Editorial – An overview on the “crisis” of testimonial evidence as a judicial decision making tool, between ECHR and Italian Criminal Proceeding: by Pier Paolo Paulesu

“…Science can in fact constitute a false ally for the judge, dangerously channeling the process towards judicial error. The matter is well known. Criminal justice now draws heavily on the results of science, but has to deal with its overt fallibility. …”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

“…The most notable bias reduction was observed at wind speeds exceeding 10 m/s. …”
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Study of Influence of Various Methods of Intraoperative Keratoprotection in Phacoemulsification of Senile Cataract on Morphological and Functional State of Ocular Surface Structure... by S. V. Tonkonogiy, О. V. Kolenko, A. V. Vasiliev

“…The developed method for predicting iatrogenic DES in patients after PE in SC is highly informative, because the number of patients in the 1st group with DES was within the expected range of error.…”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…The accuracy of depth inversion based on the MLP model surpasses traditional empirical formula methods, achieving a mean absolute error of 0.42 m. The trained MLP model is then used to estimate the depth over the entire lake areas. …”
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ELECTROMYOGRAPHY INDICATORS STUDIES OF MASTICATORY MUSCLES IN PREGNANT WOMEN WITH PARTIAL DEFECTS OF DENTITION BY ROC TA AND ROC MM INDEXES by V. Pekhnyo, K. Hulavska

“…The results of the research were divided on the time interval(1-trimester, 2nd trimester, 3rd trimester and postpartum), the results obtained were classified with an error of research. In group A we observed a reduction in ROC TA less than 95% from 36.7% (1st Trimester) to 35.2%(postpartum period), fluctuations in the indicator ROC TA from 95% to 105% was within 1%(7,5%-6,5%), the index of ROC TA більше105% grew from 55.8 per cent to 58.3%. …”
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Nurses’ perception of patient safety culture using the Hospital Survey on Patient Safety Culture tool and its association with nursing-patient outcomes: a systematic review in Iran... by Alireza Hajizadeh, Behrouz Amini Kordkandi, Sevda Sadeghpour, Milad Khodavandi, Jalal Saeidpour, Edris Kakemam

“…Significant inverse correlations were observed between overall PSC score and missed nursing care (r = − 0.22), stress level (r = − 0.39 to − 0.46), and medication error (r = − 0.28). Furthermore, PSC demonstrated a positive correlation with social intelligence (r = 0.76) and psychosocial workplace factors (r = 0.88). …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…This method does not require large computational costs and provides the required degree of reliability (error) of the decision. The application of the nearest neighbor method is based on calculating the degree of proximity of the current situation to the use cases stored in the base of use cases.Results. …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…The model was validated using two sets of actual operational data from the CEFR at 40% rated power and 100% rated power, and the relative error of electric power was found to be less than 1.3%. …”
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Uso de checklist para assistência segura à criança hospitalizada [Use of checklist for safe care of hospitalized children] [Utilización de lista de verificación para atención segur... by Aline Verônica de Oliveira Gomes Melo, Roberta Dantas Breia de Noronha, Maria Aparecida de Luca Nascimento

“…Conclusion: the use of checklist in the care of hospitalized children contributes to the identification of failures in patient safety processes; standardization of techniques and processes; reduction of errors related to health care; improvement of teamwork; accurate and consistent communication; adherence to process measures; and, consequently, improvement in the quality of care provided. …”
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Prediction of Metabolic Parameters of Diabetic Patients Depending on Body Weight Variation Using Machine Learning Techniques by Oana Vîrgolici, Daniela Lixandru, Andrada Mihai, Diana Simona Ștefan, Cristian Guja, Horia Vîrgolici, Bogdana Virgolici

“…Model performance was evaluated using Mean Squared Error, Mean Absolute Error, and R² score. …”
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Pharmacokinetics of Pegaspargase with a Limited Sampling Strategy for Asparaginase Activity Monitoring in Children with Acute Lymphoblastic Leukemia by Cristina Matteo, Antonella Colombini, Marta Cancelliere, Tommaso Ceruti, Ilaria Fuso Nerini, Luca Porcu, Massimo Zucchetti, Daniela Silvestri, Maria Grazia Valsecchi, Rosanna Parasole, Luciana Vinti, Nicoletta Bertorello, Daniela Onofrillo, Massimo Provenzi, Elena Chiocca, Luca Lo Nigro, Laura Rachele Bettini, Giacomo Gotti, Silvia Bungaro, Martin Schrappe, Paolo Ubezio, Carmelo Rizzari

“…This model predicts the AUC with 6% average error and 35% maximum error compared to the AUC estimated with all available measures. …”
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A novel multimodal image feature fusion mechanism: Application to rabbit liveweight estimation in commercial farms by Daoyi Song, Zhenhao Lai, Shuqi Yang, Dongyu Liu, Jinxia (Fiona) Yao, Hongying Wang, Liangju Wang

“…The network was trained and validated on a dataset of 1,957 overhead images from 300 rabbits collected from a commercial farm, achieving superior performance with an R-Square (R2) of 0.95, Root Mean Square Error (RMSE) of 194.95 g, Mean Absolute Deviation (MAD) of 155.10 g, Mean Absolute Percentage Error (MAPE) of 4.08 %, and Mean Coefficient of Variation (MCV) of 3.03 %. …”
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Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…Comparative analysis reveals that SAPSO achieves significant performance enhancements over standard PSO, with mean reductions of 70.8% in Mean Squared Error (MSE) and 40.1% in Root Mean Squared Error (RMSE), indicating substantially improved convergence stability. …”
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Urban Signalized Intersection Traffic State Prediction: A Spatial–Temporal Graph Model Integrating the Cell Transmission Model and Transformer by Anran Li, Zhenlin Xu, Wenhao Li, Yanyan Chen, Yuyan Pan

“…Validation using real traffic data from pNEUMA demonstrates that CeT significantly outperforms baseline models in two-phase signalized intersection scenarios, achieving reductions of 11.47% in Mean Absolute Error (MAE), 13.48% in Root Mean Square Error (RMSE), and an increase of 4.36% in Accuracy (ACC). …”
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Power Assessment and Performance Comparison of Wind Turbines Driven by Multivariate Environmental Factors by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Zhao Rao, Haoxuan Luo, Weihao Ji

“…The proposed method achieves substantial improvements in predictive accuracy, with decreases of 9.39% in mean absolute error (MAE) and 11.75% in root mean square error (RMSE), compared to conventional binning approaches. …”
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Research on Wafer CMP Temperature Online Detection Compensation Algorithm Based on GA-BP Improved Neural Network by Binjie Li, Kuan Shen, Zhilong Song, Binghai Lyu, Wenhong Zhao

“…Experimental results indicate that the mean absolute error (MAE) of the test set has decreased to 0.2381°C, representing reductions of 82% and 68% compared to BP and GA-BP, respectively. …”
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Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles by ZHAO Zi-hao, WANG Jia-rui, FU Tao-tao, ZHU En-lin

“…The safety factors for Examples 1 and 2 were calculated as 1.63 and 1.46, respectively, with an average error of 1.8 % in the verification results. For the anisotropic spatially variable slope, the error in the failure probability is on the order of 10^-3. …”
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Multi-Level Decomposition and Interpretability-Enhanced Air Conditioning Load Forecasting Study by Xinting Yang, Ling Zhang, Hong Zhao, Wenhua Zhang, Chuan Long, Gang Wu, Junhao Zhao, Xiaodong Shen

“…Results show that the proposed method significantly outperforms the LSTM model without decomposition and other benchmark models in prediction accuracy, with the Root Mean Square Error (RMSE) reductions ranging from 40.26% to 74.18% and the Modified Mean Absolute Percentage Error (MMAPE) reductions from 37.75% to 73.41%. …”
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Legal Challenges of Marine Insurance Laws in the Use of Unmanned Ships by Mahsa Bahadoran- Baghbaderani, Masoud Shirani, Reza Soltani

“…These include significant cost reductions in transportation, fewer accidents and collisions attributable to human error, enhanced operational speed, and minimization of idle times. …”
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Advanced classification of optical water types and ensemble learning models for Chl-a inversion in Dongting and Poyang lakes using Sentinel-2 remote sensing: assessing the impact o... by Kai Xiong, Bin Deng, Jiang Liu, Zhixin Guan, Weizhi Lu, Changbo Jiang, Wei Luo, Han Rao, Longbin Yin, Kang Yang

“…Additionally, hierarchical modeling based on OWT-specific ensemble methods significantly reduced errors compared to traditional global models, with decreases of 36 % in Dongting Lake and 42.19 % in Poyang Lake. …”
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