Correction: Yang et al. Use Efficiency, Reduction Potential, and Effects of Fertilizers on Carbon Emissions in China’s Major Citrus Regions. <i>Agriculture</i> 2024, <i>14</i>, 197... by Yueyuan Yang, Chunjie Qi, Yumeng Gu, Guozhu Fang

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

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Optimasi Teknologi WAV2Vec 2.0 menggunakan Spectral Masking untuk meningkatkan Kualitas Transkripsi Teks Video bagi Tuna Rungu by ACHMAD NOERCHOLIS, TITANIA DWIANDINI, FRANSISKA SISILIA MUKTI

“…The results show a significant reduction in Word Error Rate (WER), with a 78.06% decrease in podcasts and a 53.85% decrease in videos with background noise. …”
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Evolutionary Optimization of the Reduced Gas‐Phase Isoprene Oxidation Mechanism by Arijit Chakraborty, Forwood Cloud Wiser, Siddhartha Sen, Daniel M. Westervelt, Reese Carter, V. Faye McNeill, Venkat Venkatasubramanian

“…Abstract Atmospheric chemistry is highly complex, and significant reductions in the size of the chemical mechanism are required to simulate the atmosphere. …”
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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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Variational AutoEncoder for synthetic insurance data by Charlotte Jamotton, Donatien Hainaut

“…This study introduces novel insights into utilising VAEs for unsupervised learning tasks in actuarial science, including dimension reduction and synthetic data generation. We propose a VAE model with a quantile transformation for continuous (latent) variables, a reconstruction loss that combines categorical cross-entropy and mean squared error, and a KL divergence-based regularisation term. …”
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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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Remote sensing image fusion based on real time image smoothing and image similarity by Yanfang Hou, Kaixuan Guo, Xueyan Bi

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A Hierarchical RF-XGBoost Model for Short-Cycle Agricultural Product Sales Forecasting by Jiawen Li, Binfan Lin, Peixian Wang, Yanmei Chen, Xianxian Zeng, Xin Liu, Rongjun Chen

“…As for the performance evaluation, using agricultural product sales data from a supermarket in China from 1 July 2020 to 30 June 2023, the results demonstrate superiority over standalone RF and XGBoost, with a Mean Absolute Percentage Error (MAPE) reduction of 10% and 12%, respectively, and a coefficient of determination (R²) increase of 22% and 24%, respectively. …”
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

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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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Effect of Axial Modification on the Meshing Performance of Involute Beveloid Gear Pair by Yongping Liu, Qi Chen, Changbin Dong

“…The implementation of the modification has been observed to result in a reduction in cumulative transmission error and an effective reduction in edge load on the beveloid gear pair, which has been demonstrated to enhance the bearing capacity and transmission stability extension while also impacting the dynamic meshing performance.…”
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NORMALISATION OF THE DRIVE PRECISION OF METAL-CUTTING MACHINES by Irina A. Klenova, Dmitry A. Rudikov, Svetlana N. Kholodova

“…The presented complex helps to reveal the role of the rounding error of the output criteria in the formation of the general relative error and provides a basis for its possible reduction. …”
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NEW INSIGHTS FOR STATISTICAL ANALYSIS OF BLOOD PRESSURE RESPONSE TO RESISTANCE TRAINING IN ELDERLY HYPERTENSIVE WOMEN by Dahan da Cunha Nascimento, Cristiane Rocha Silva, Denis Cesar Leite Vieira, Brad Jon Schoenfeld, Jonato Prestes

“…Furthermore, initial SBP was the more powerful predictor of post-exercise SBP response, as analyzed by the regression to the mean effect. Finally, the reductions of -2.24 mmHg was not statistically significant nor clinically meaningful, but fell within the measurement error of the SBP measurements.…”
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Multi-segment cooling design of a reflection mirror based on the finite-element method by Zhen Wang, Yajun Tong, Fang Liu, Chaofan Xue, Limin Jin, Zhi Liu

“…For example, the root mean square of the height error of the thermal deformation of the mirror at a photon energy of 900 eV was optimized, resulting in a 12.7× reduction, from 13.76 nm to 1.08 nm. …”
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Reductions in Gastrointestinal Intolerance, Healthcare Resource Utilization and Cost Associated with a Plant-Based Peptide Enteral Formula with Fruit and Vegetable Ingredients: Ret... by Minor G, Cekola P, Desai A, Kumar P, Mondal S, Kadam YV, Fazioli K, Klosterbuer A

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A Self-Evaluated Bilingual Automatic Speech Recognition System for Mandarin–English Mixed Conversations by Xinhe Hai, Kaviya Aranganadin, Cheng-Cheng Yeh, Zhengmao Hua, Chen-Yun Huang, Hua-Yi Hsu, Ming-Chieh Lin

“…Results show a remarkable reduction in the Mandarin–English MER, dropping from ∼65% to under 13%, after implementing the self-evaluation framework and mixed-language algorithms. …”
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A Hybrid Framework for Metal Artifact Suppression in CT Imaging of Metal Lattice Structures via Radon Transform and Attention-Based Super-Resolution Reconstruction by Bingyang Wang, Zhiwei Zhang, Heng Li, Ronghai Wu

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Universal metrics for predicting the activity of a wide range of fuel-cell catalysts by Ganesan Elumalai, Satoshi Tominaka

“…The increasing demand for universal metrics in material development, particularly in the context of material informatics (MI), emphasises the need for catalytic activity metrics in fuel-cell research, specifically for the oxygen reduction reaction (ORR). In this study, we comprehensively analyse 10 Pt/C catalysts using a constant-current density protocol and correlate the ORR activity with the constant kinetic current density, thereby demonstrating the effectiveness of this alternative metric. …”
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