Fault diagnosis of shearer cutting unit gearbox based on improved cascaded broad learning by LI Xin, LI Shuhua, CHEN Hao, SI Lei, WEI Dong, ZOU Xiaoyu

“…Additionally, a class-specific weight allocation strategy was adopted to assign higher weights to minority class samples based on the class distribution of the input data, improving fault diagnosis performance under imbalanced data conditions. The effectiveness of the ICBL-based fault diagnosis method was validated using a shearer cutting unit gearbox fault simulation test platform. …”
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The Use of “Cancer Ratio” in Differentiating Malignant and Tuberculous Pleural Effusions: Protocol for a Prospective Observational Study by Sai Pooja Chalamalasetty, Preetam Acharya, Thomas Antony, Anand Ramakrishna, Himani Kotian

“…The ability of the CR to discriminate between tuberculous and MPE will be evaluated as a primary objective of this study. …”
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Prediction for Acute Biliary Pancreatitis After Laparoscopic Cholecystectomy by Yue D, Hu S

“…A nomogram was constructed, and model performance was assessed using ROC curves, calibration, and decision curve analysis.Results: The incidence of ABP was 9.07% in the training set and 14.43% in the validation set. …”
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Detection of moving point symbols on cartographic backgrounds by Vassilios Krassanakis, Vassiliki Filippakopoulou, Byron Nakos

“…The examined threshold is investigated using backgrounds with discriminant levels of information. The experimental process is based on the collection (under free viewing conditions) and the analysis of eye movement recordings. …”
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Machine Learning-Based Acoustic Analysis of Stingless Bee (<i>Heterotrigona itama</i>) Alarm Signals During Intruder Events by Ashan Milinda Bandara Ratnayake, Hartini Mohd Yasin, Abdul Ghani Naim, Rahayu Sukmaria Sukri, Norhayati Ahmad, Nurul Hazlina Zaini, Soon Boon Yu, Mohammad Amiruddin Ruslan, Pg Emeroylariffion Abas

“…Among them, Linear Discriminant Analysis (LDA) demonstrated the best performance in improving class separability. …”
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Multi-Channel Speech Enhancement Using Labelled Random Finite Sets and a Neural Beamformer in Cocktail Party Scenario by Jayanta Datta, Ali Dehghan Firoozabadi, David Zabala-Blanco, Francisco R. Castillo-Soria

“…Moreover, the application of the GAN framework takes advantage of adversarial optimization as an alternative to maximum likelihood (ML)-based frameworks, which further boosts the performance of target speech enhancement under reverberant conditions. …”
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Project quality, regulation quality by Elena Mussinelli

“…Legal uncertainty leads to opaque, if not arbitrary decisions, facilitates corruption, increases discrimination and social conflict, and limits economic development, sometimes to the point of inhibiting it (Bassanini et al., 2005). …”
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The effect of technology stress on knowledge concealment with the mediating role of job fatigue and moderating work autonomy by Hossein Jamali, Mehdi Kabirinaeini, Zeynab Elahi

“…Furthermore, this may increase employees' motivation to share knowledge and ultimately help improve overall organizational performance, although these effects will vary depending on different environmental and organizational conditions.Originality/Value: It is essential that the managers of Saman Electronic Payment Company develop and implement comprehensive and well-structured programs to increase job autonomy and personal control of employees in the workplace. …”
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HA-CP-Net: A Cross-Domain Few-Shot SAR Oil Spill Detection Network Based on Hybrid Attention and Category Perception by Dongmei Song, Shuzhen Wang, Bin Wang, Weimin Chen, Lei Chen

“…By combining the category-perception loss function with the cross-entropy loss function, the network’s performance in discriminating between real and suspected oil films is thus maximized. …”
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Nomogram model for screening the risk of frailty in older adult atrial fibrillation patients: a cross-sectional study by Hairong Lin, Mei Lin, Zhiying Xu, Hong Li, Dingce Sun

“…The internal validation C-index was 0.821 (95% CI: 0.778–0.864; bias-corrected C-index: 0.795), and the external validation C-index was 0.819 (95% CI: 0.762–0.876; bias-corrected C-index: 0.819), demonstrating strong discriminative ability. Calibration charts for both internal and external validations closely matched the ideal curve, indicating robust predictive performance.ConclusionThe nomogram developed in this study is a promising and practical tool for assessing frailty risk in AF patients, aiding clinicians in identifying those at high risk.Relevance to clinical practiceThis study demonstrates the utility of a comprehensive predictive model based on frailty risk factors in AF patients, offering clinicians a practical tool for personalized risk assessment and management strategies.…”
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Identifying Stuttering in Arabic Speakers Who Stutter: Development of a Non-word Repetition Task and Preliminary Results by Roaa Alsulaiman, John Harris, Sarah Bamaas, Peter Howell

“…Stuttering and other conditions that affect speech fluency need to be identified at an early age in order that effective interventions can be given before the problems becomes chronic. …”
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Development and evaluation of a non-invasive brain-spine interface using transcutaneous spinal cord stimulation by Carolyn Atkinson, Lorenzo Lombardi, Meredith Lang, Rodolfo Keesey, Rachel Hawthorn, Zachary Seitz, Eric C. Leuthardt, Peter Brunner, Ismael Seáñez

“…Our results suggest that the decrease in decoder performance in uncued movement may be due to differences in underlying cortical strategies between conditions. …”
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Direklo-Mehdikhan Alkaline Basalt District, an Indication of a Quaternary Continental Within Plate Extensional Mechanism by Fatemeh Narimani, MohammadAli Mackizadeh, Mortaza Sharifi

“…The crystallization process is believed to have occurred under conditions of high oxygen fugacity (Figures 5C and 5D). …”
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Presenting a model for the establishment and maintenance of expert human resources in the government organizations of Sistan and Baluchestan province by Majid Reza Dahmardeh, Vahid pourshahabi, Amin Reza Kamalian, Habibollah Salaerzehi

“…Today, leaving a job has attracted a lot of attention from researchers and organizational leaders, which is mainly related to important organizational and individual consequences such as job performance, organizational behavior, job attitudes, and negative psychological consequences. …”
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Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data by Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao, Chenggang Shu

“…Under identical labeled conditions, the model displays excellent generalization performance, attaining approximately 84% classification accuracy. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Scientific knowledge of image-based crack detection methods is limited in understanding their performance across diverse crack sizes, types, and environmental conditions. …”
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BANKRUPTCY PREDICTION AND FINANCIAL RISK ASSESSMENT IN EMERGING MARKETS: EVIDENCE FROM NIGERIA by Emmanuel Imuede Oyasor

“…Our empirical results demonstrate that the Nigerian-validated IN01 and IN05 models outperform the traditional Altman and Ohlson models, highlighting the critical importance of contextualizing bankruptcy prediction tools to local economic conditions. The analysis further includes Receiver Operating Characteristic (ROC) curves and confusion matrix heatmaps to provide nuanced insights into model discriminative power and classification errors. …”
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Disturbances of sensation occasioned by experimental arrest of blood flow by Alfred Auersperg, Orlando Aidar, Eros A. Erhart

“…Blockage of circulation was performed as outlined by Lewis and Pochin, by putting the cuff of a sphygmomanometer on the upper arm and bringing the pressure rapidly up to 200 mm/Hg. …”
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A GAN-Based Framework with Dynamic Adaptive Attention for Multi-Class Image Segmentation in Autonomous Driving by Bashir Sheikh Abdullahi Jama, Mehmet Hacibeyoglu

“…The most recent deep learning-based image segmentation models have demonstrated impressive performance in structured environments, yet they often fall short when applied to the complex and unpredictable conditions encountered in autonomous driving. …”
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BANKRUPTCY PREDICTION AND FINANCIAL RISK ASSESSMENT IN EMERGING MARKETS: EVIDENCE FROM NIGERIA by Emmanuel Imuede Oyasor

“…Our empirical results demonstrate that the Nigerian-validated IN01 and IN05 models outperform the traditional Altman and Ohlson models, highlighting the critical importance of contextualizing bankruptcy prediction tools to local economic conditions. The analysis further includes Receiver Operating Characteristic (ROC) curves and confusion matrix heatmaps to provide nuanced insights into model discriminative power and classification errors. …”
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