Development of an Automatic Rock Mass Classification System Using Digital Tunnel Face Mapping by Hyun-Koo Lee, Myung-Kyu Song, Young-Oh Jeong, Sean Seung-Won Lee

“…Tunnel face mapping can be promptly accomplished using images captured at the excavation face, enabling rapid analysis. In conjunction with the mapping capabilities, the developed system was designed to digitally store geological information, which includes parameters such as rock strength distribution, the spacing and length of discontinuities observed during the mapping process, as well as data pertaining to weathering and the groundwater conditions of those discontinuities. …”
Get full text

Predictive Machine Learning Approaches for Supply and Manufacturing Processes Planning in Mass-Customization Products by Shereen Alfayoumi, Amal Elgammal, Neamat El-Tazi

“…Additionally, Reinforcement Learning was used in scenarios where real-world data or historical experiences were unavailable. …”
Get full text

Evaluation of Noah-MP Land Surface Model-Simulated Water and Carbon Fluxes Using the FLUXNET Dataset by Bofeng Pan, Xiaolu Wu, Xitian Cai

“…The model successfully simulated the diurnal and seasonal cycles of both fluxes, though cumulative errors increased at the annual scale. Diurnally, the largest simulation biases typically occurred around noon; while, seasonally, biases were smallest in winter. …”
Get full text

Adaptive weighted dual MAML: Proposing a novel method for the automated diagnosis of partial sleep deprivation. by Soraya Khanmohmmadi, Toktam Khatibi, Golnaz Tajeddin, Elham Akhondzadeh, Amir Shojaee

“…Traditional diagnostic methods, such as questionnaires and polysomnography, often require extensive time and are susceptible to errors. This highlights the need for automated detection systems to enhance diagnostic efficiency. …”
Get full text

Expanded Generalized Needlet Internal Linear Combination (eGNILC) Framework for the 21 cm Foreground Removal by Wei-Ming Dai, Yin-Zhe Ma

“…The varying Airy-disk beam only causes significant errors at large multipoles.…”
Get full text

Logistics business management of provider in Thailand with smart logistics by Natpatsaya Setthachotsombut, Komson Sommanawat, Gritsada Sua-iam

“…A number of statistical methods were employed for data analysis, including the usage of structural equation modeling (SEM). …”
Get full text

Perceived barriers to timely diagnosis among Iranian women diagnosed with advanced breast cancer: a qualitative study by Reza Negarandeh, Marziyeh Lashkari, Rebecca Lehto, Maryam Janatolmakan

“…The qualitative study explores the barriers to timely diagnosis from the perspectives of Iranian women diagnosed with advanced breast cancer.Design and setting A qualitative study was conducted using in-depth, semistructured interviews to explore perceived barriers to timely diagnosis among Iranian women with advanced breast cancer. Data analysis were performed using MAXQDA software, V.20.Participants 15 Iranian women [mean age 50.6±9.4 (range 38–72)] years with breast cancer diagnosed at an advanced stage.Results Seven participants reported diagnostic delays that exceeded 7 months. …”
Get full text

Estimation of minimum foot clearance using a single foot-mounted inertial sensor and personalized foot geometry scan by Katherine Heidi Fehr, Jennifer Nicole Bartloff, Yisen Wang, Scott Hetzel, Peter G. Adamczyk

“…This combination allows collection and analysis using out-of-lab tests, potentially including clinical environments. …”
Get full text

The effect of research and development personnel on innovation activities of firms: Evidence from small and medium-sized enterprises from the Visegrad Group countries by Aleksandra Zygmunt

“…Research Design & Methods: Fixed effects panel regression with robust standard errors was used for hypothesis testing over the period 2009-2017. …”
Get full text

Monopulse Feature Extraction and Fault Diagnosis Method of Rolling Bearing under Low-Speed and Heavy-Load Conditions by Chang Liu, Gang Cheng, Xihui Chen, Yong Li

“…The experimental and analysis results show that bearing fault diagnosis can be achieved. …”
Get full text

Assessing Nurses’ Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice by Mai M. Yaseen, Fatmah H. Alsharif, Reem A. Altaf, Taif W. Asiri, Rifan M. Bagies, Salwa B. Alharbi, Bothinah A. Altaf

“…Results: All 307 participants completed the survey and used it for data analysis using SPSS V.25. Kruskal–Wallis and Whitney tests and descriptive statistics were used to identify the significant differences among groups. …”
Get full text

A Multi-site Information Synchronization Scheme Based on Hankel Matrix Singular Value Decomposition by LI Ye, JIA Na, HE Jiawei, LI Bin, LIU Xiaoming

“…The feasibility and advantages of the proposed information synchronization scheme were verified through an analysis using a large amount of on-site recorded data. …”
Get full text

Input-output efficiency, productivity dynamics, and determinants in western China's higher education: A three-stage DEA, global Malmquist index, and Tobit model approach. by Rui Guo, Meng Ye

“…This study employs a comprehensive research methodology, combining a three-stage Data Envelopment Analysis, the global Malmquist productivity index, and a Tobit model to systematically evaluate input-output efficiency, productivity dynamics, and factors influencing technical efficiency in higher education across 12 provinces in western China from 2010 to 2022. …”
Get full text

Desain dan Prototipe Sistem Inventori Barang Berbasis Website Pada Jasa Warna Gypsum by Eviana Hartanti, Muhammad Arifin, R. Rhoedy Setiawan

“…The main objective of this study is to address the inefficiencies in manual inventory management, which often leads to inaccurate stock data and delays in decision making. This study focuses on creating an easy-to-use UI/UX design that allows for real-time stock monitoring and management. …”
Get full text

Collaborative Forecasting of Multiple Energy Loads in Integrated Energy Systems Based on Feature Extraction and Deep Learning by Zhe Wang, Jiali Duan, Fengzhang Luo, Xiaoyu Qiu

“…Second, a correlation analysis identifies the key influencing factors for model input. …”
Get full text

A simple method to back-project isocenter dose of radiotherapy treatments using EPID transit dosimetry by Thiago Bernardino da Silveira, Bianca de Quadros Cerbaro, Luiz Antônio Ribeiro da Rosa

“…Normalized field by field analysis showed deviations smaller than 2% for 89% of all data for 6 MV beams and 94% for 10 MV beams. …”
Get full text

Integrating BIM with Lean Principles for Enhanced Decision-making: Optimizing Insulation Material Selection in Sustainable Construction Project by Karim El Mounla, Djaoued Beladjine, Karim Beddiar

“…A decision-support tool was developed using Python and RStudio to enhance stakeholder efficiency, reduce errors, and streamline communication. The tool combines Set-Based Design, Choosing By Advantages, and Big Room methods with Industry Foundation Classes (IFC) data to automatically generate and evaluate insulation options based on multi-criteria analysis. …”
Get full text

Clinical decision fatigue: a systematic and scoping review with meta-synthesis by Nicola Grignoli, Serena Petrocchi, Peter Schulz, Luca Gabutti, Greta Manoni, Jvan Gianini

“…Only one sequential cross-sectional study measured DF in the medical setting, and all other studies addressed the construct indirectly. A conceptual analysis of clinical DF, including narrative contributions, a thematic analysis of the data extracted and a meta-synthesis, is provided. …”
Get full text

Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring by Michal Bechny, Luigi Fiorillo, Julia van der Meer, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Francesca Faraci

“…Existing validation methods, such as Bland-Altman analysis, often rely on simple correlation metrics, overlooking potential non-linear influences of external factors (e.g., demographic or clinical variables) on systematic predictive errors (biases) in derived clinical markers. …”
Get full text

”My AI is Lying to Me”: User-reported LLM hallucinations in AI mobile apps reviews by Rhodes Massenon, Ishaya Gambo, Javed Ali Khan, Christopher Agbonkhese, Ayed Alwadain

“…Using a mixed-methods approach, a heuristic-based User-Reported LLM Hallucination Detection algorithm were applied to identify  20,000 candidate reviews, from which 1,000 are manually annotated. This analysis estimates the prevalence of user reports indicative of LLM hallucinations, which was found to be approximately 1.75% within reviews initially flagged as relevant to AI errors. …”
Get full text