Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan’s resource-limited settings by Khaloud Tariq, Huma Tahir, Ushna Malik, Kanza Iqbal, Aqsa Shabbir, Arooj Ul Hassan

“…About 190 (42.1%) respondents agreed that AI can make errors. Most respondents 334 (74.1%) were aware of AI applications in healthcare, and 329 (72.9%) reported familiarity with AI technologies. …”
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Effect of attentional bias modification on pre-competition anxiety in athletes by Jing Zhao, Yuhan Yang, Heng Zhang, Yu Nie, Qiulin Wang

“…Athletes often experience performance anxiety, which creates attentional errors and underperformance. Attentional bias, where emotional stimuli influence decision-making, may also result in selective attention to negative information. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…Integration of the SM-VCE algorithm with robust estimation techniques effectively minimizes far-field deformation errors in data, thereby marginally enhancing the near-field deformation solution.…”
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Proficiency tests for soil analysis services via proximal sensing by Tiago R. Tavares, José A.M. Demattê, Abdul M. Mouazen, Eyal Ben-Dor, Adriano A. Anselmi, Victor Monseff de A. Campos, Budiman Minasny, Sérgio H. Godinho Silva, Sabine Chabrillat, Konstantinos Karyotis, Heitor Cantarella, Cristiano A. Andrade, Maurício R. Cherubin, Hudson W.P. de Carvalho, José Lavres

“…It also highlights the significance of error metrics for accurate interpretation. Establishing robust proficiency tests is crucial for ensuring reliable soil analysis services and promoting the adoption of best practices in this technology.…”
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Development of a Portable Optomechatronic System to Obtain the Characterization of Transparent Materials and Dielectric Thin Films by Araceli Sánchez-Alvarez, Osvaldo Rodríguez-Quiroz, Gabriela Elizabeth Quintanilla-Villanueva, Melissa Marlene Rodríguez-Delgado, Juan Francisco Villarreal-Chiu, Oscar Javier Silva-Hernández, Donato Luna-Moreno

“…The Brewster angle measured was 56.550, with a refractive index (n) of 1.5137. The relative error obtained was Δn/n = 3.82 × 10⁻⁴, with a sensitivity of 164.27 RIU/degree and an accuracy of 0.37/degree. …”
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A Machine Vision Perspective on Droplet‐Based Microfluidics by Ji‐Xiang Wang, Hongmei Wang, Huang Lai, Frank X. Liu, Binbin Cui, Wei Yu, Yufeng Mao, Mo Yang, Shuhuai Yao

“…Abstract Microfluidic droplets, with their unique properties and broad applications, are essential in in chemical, biological, and materials synthesis research. …”
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An Interpretable Dynamic Feature Search Methodology for Accelerating Computational Process of Control Rod Descent in Nuclear Reactors by Qingyu Huang, Cong Xiao, Wei Zeng, Le Xu, Jia Liu, Zhixin Pang, Yuanfeng Lin, Mengwei Zhao, Xiaobo Liu

“…Through comprehensive validation, this algorithm demonstrates remarkable precision, with the computational results exhibiting an error margin within 10% while simultaneously achieving a substantial enhancement of computational efficiency of nearly three orders of magnitude when compared to conventional computational fluid dynamics techniques and sequence-to-sequence machine learning algorithms. …”
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Optimization Driven Variational Autoencoder GAN for Artifact Reduction in EEG Signals for Improved Neurological Disorder and Disability Assessment by Sikkandar Mohamed Yacin, Sabarunisha Begum S., Alassaf Ahmad, AlMohimeed Ibrahim, Alhussaini Khalid, Aleid Adham, Alhaidar Abdulrahman Khalid

“…Preliminary results show that BrOpt_VAGAN performs significantly better with an accuracy of 98.5 % and an error rate of 11.23 %, enabling a clearer and more precise EEG signal reconstruction.…”
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Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network by Xinyu Liu, Jie Yin, Xinmiao Zhang, Wenxiang Qiu, Wei Jiang, Ming Zhang, Linhua Zhu, Hongping Li, Huaming Li

“…The R² value of the current model reached 0.75, and the mean absolute error reached 25.03 K, indicating that this study achieved high accuracy with very little computational cost. …”
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Development of a novel concentrated solar-powered material extrusion system for producing printed circuit assemblies by Alejandro Jaramillo-Mora, Armando Rojas-Morín, Sergio Quezada-García, Gabriel Jaramillo-Soto, Adrián Espinosa-Bautista, Jesús Rafael Gonzalez-Parra, Yolanda Flores-Salgado, Arturo Barba-Pingarrón

“…The obtained function describes the experimental equipment's behavior and has an average relative error of 12.6 % compared with the measured material's temperature at the depositing needle's exit. …”
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An Identification and Localization Method for 3D Workpiece Welds Based on the DBSCAN Point Cloud Clustering Algorithm by Nian Zhou, Ping Jiang, Shiliang Jiang, Leshi Shu, Xiaoxian Ni, Linjun Zhong

“…Meanwhile, the average error of joint gap detection was 0.11 mm and the processing time of a 90 mm straight-seam butt joint is 701.12 ms.…”
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BioMeta: modular reprogrammable metasurface for noninvasive human respiration monitoring by Li Xin Yu, Chen Long, Qin Shi Long, Zhao Ke Zhan, Cai Zi Xuan, Peng Qiao Cong, Ma Qian, You Jian Wei, Cui Tie Jun

“…Experimental results validate that the BioMeta system can accurately monitor the breathing of multiple individuals with limb movements by means of time multiplexing, with an average estimation error of 0.5 respiration per minute. The proposed system enhances sensing accuracy and reliability for noninvasive human respiration monitoring, presenting a versatile and environmentally friendly solution for applications like elderly care and disease monitoring.…”
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Probabilistic distribution model of grain boundary α phase length in titanium alloys by Huizhi Peng, Wan Ye, Jianwen Liu, Shun Wu, Yichi Zhang, Yichi Zhang, Yuman Zhu, Alberto Boretti, Aijun Huang

“…Additionally, based on limited characterization inputs, the probabilities of GB-α having specific lengths are predicted by our model within an error margin of 4 %. Furthermore, this model is extended to the size of crept-induced voids in Inconel 718 superalloy, demonstrating its potential applicability to microstructure features governed by similar physical process.…”
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A Novel Triboelectric–Electromagnetic Hybrid Generator with a Multi-Layered Structure for Wind Energy Harvesting and Wind Vector Monitoring by Jiaqing Niu, Ribin Hu, Ming Li, Luying Zhang, Bei Xu, Yaqi Zhang, Yi Luo, Jiang Ding, Qingshan Duan

“…High-efficiency wind energy collection and precise wind vector monitoring are crucial for sustainable energy applications, smart agriculture, and environmental management. …”
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Streptococcus agalactiae colonization and screening approach in high-risk pregnant women in southern Brazil by Jeane Zanini da Rocha, Jéssica Feltraco, Vanessa Radin, Carla Vitola Gonçalves, Pedro Eduardo Almeida da Silva, Andrea von Groll

“…Grenade culture was considered an easy and low-cost method, while GeneXpert presented higher cost and error rate of 10%. However, 23.3% of the pregnant women were diagnosed exclusively by GeneXpert and the results were obtained in two hours. …”
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A New Capillary and Adsorption‒Force Model Predicting Hydraulic Conductivity of Soil During Freeze‒thaw Processes by Shufeng Qiao, Rui Ma, Yunquan Wang, Ziyong Sun, Helen Kristine French, Yanxin Wang

“…By comparison with other existing models, the results demonstrated that the new model is applicable to various types of soils and that the predicted hydraulic conductivity is in the highest agreement with the observed data, while reducing the root mean square error by 38.9% compared to the van Genuchten–Mualem model. …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…Using the 9th Electrician Cup Modeling Contest data set and the power consumption data set of 1443 enterprises in Yangzhong City in 2015 as the verification data, the results show that the load data processed by K-means-SyMProD-PCA input into the NPMA-LSSVM model can reduce the forecasting error effectively, it can better solve the problem of short and medium-term power load forecasting in the case of unbalanced minority class samples, which has certain applicability.…”
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ReAcc_MF: Multimodal Fusion Model with Resource-Accuracy Co-Optimization for Screening Blasting-Induced Pulmonary Nodules in Occupational Health by Junhao Jia, Qian Jia, Jianmin Zhang, Meilin Zheng, Junze Fu, Jinshan Sun, Zhongyuan Lai, Dan Gui

“…Ablation studies, feature weight maps, and normalized mutual information heatmaps confirm the robustness and interpretability of the model, while uncertainty quantification metrics such as the Brier score and Expected Calibration Error (ECE) better validate the model’s clinical applicability and prediction stability. …”
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Grapevine inflorescence segmentation and flower estimation based on Computer Vision techniques for early yield assessment by Germano Moreira, Filipe Neves dos Santos, Mário Cunha

“…A statistical analysis confirmed the robustness of the framework, with the YOLOv8 model once again standing out, showing no significant differences in error rates across diverse grapevine morphologies and varieties, ensuring wide applicability. …”
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Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques by Ahmed A. Alawi Al-Naghi, Kinza Aamir, Muhammad Nasir Amin, Bawar Iftikhar, Kashif Mehmood, Muhammad Tahir Qadir

“…Among the two, the MEP model demonstrated stronger predictive capability, achieving a coefficient of determination of 0.90 and a mean absolute error of 3.83 MPa. Analysis using sensitivity techniques and Shapley Additive exPlanations values further identified superplasticizer, cement, and crumb rubber as the most critical variables influencing strength outcomes. …”
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