A dynamic dropout self-distillation method for object segmentation by Lei Chen, Tieyong Cao, Yunfei Zheng, Yang Wang, Bo Zhang, Jibin Yang

“…Especially in pixel-level object segmentation, there are some challenging pixels that are difficult for the student model to learn. Even if the student model learns from the teacher model for each pixel, the student’s performance still struggles to show significant improvement. …”
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Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification? by Fan Yang, Ying-Ying Xu, Hong-Bin Shen

“…According to our experimental results from binary relevance multilabel machine learning models, the completed local binary pattern, and local tetra pattern are more discriminative for describing IHC images when compared to the traditional local binary pattern descriptor. …”
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Formation of the Management Information System in the Education Sector and the Development of the Education System of the Republic of Belarus Based on the Experience of Estonia by P. A. Lis, D. A. Kachan, V. I. Slizh, A. B. Belsky

“…The economic and social effect of the implementation of an integrated information system in the education sector has been revealed. The structure of e-learning services in Estoniaand their role in providing digital transformation of the education system are considered. …”
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Healthcare Professional’s Perception of Patient Safety Measured by the Hospital Survey on Patient Safety Culture: A Systematic Review and Meta-Analysis by Julia Hiromi Hori Okuyama, Tais Freire Galvao, Marcus Tolentino Silva

“…Encouraging event reporting and learning from errors should be priorities in hospitals worldwide.…”
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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…Using quantitative methods, Arabic news articles were collected and processed with Python, a popular programming language in data analysis, and applied various NLP techniques and machine learning models to accurately extract semantic fields. …”
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Comparing the productive vocabularies of grey parrots (Psittacus erithacus) and young children by Tereza Roubalová, Lucie Jarůšková, Kateřina Chládková, Jitka Lindová

“…These differences could reflect a strong link between learning spoken words and understanding the underlying concepts, an ability seemingly unique to human children (and absent in parrots), but also different communicative goals of the two species.…”
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Image-Based Underwater Inspection System for Abrasion of Stilling Basin Slabs of Dam by Yonglong Li, Hua Zhang, Shuang Wang, Haoran Wang, Jialong Li

“…This image algorithm used SLIC superpixel and the SVM machine learning method to detect the coarse aggregate exposure automatically. …”
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On the road to Mecca: Branding discourses and national identity on coffee shop signage. by Abduljalil Nasr Hazaea, Mutahar Qassem

“…The study recommends further research and suggests some cultural and pedagogical implications for authorities, translation, bilingual awareness, teaching, and learning.…”
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Information systems’ effectiveness and organisational performance: a study among small and medium-sized enterprises in North Kivu Province, DR-Congo by Rodrigue Kalumendo, Paluku Kazimoto, Nirmal Kumar Betchoo

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A quantum entanglement-based algorithm for discriminating non-orthogonal qubits by Mohammed Zidan, Mohamed N. El-Qersh, Mahmoud Abdel-Aty, Montasir Qasymeh, Hichem Eleuch

“…Distinguishing unknown non-orthogonal qubits is an essential requirement for addressing various challenges in quantum computation, including quantum machine learning, quantum communications, and quantum technologies. …”
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Using virtual reality mediation in a workplace setting for employees with disabilities: A pilot study by Hung Jen Kuo, Nigel Newbutt, Sarah George, Michael Laird

“…VR technology is also being increasingly integrated into both business and educational settings, offering immersive experiences that enhance learning, training, collaboration, and customer engagement. …”
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Investigating the effect of loss functions on single-image GAN performance by Eyyup YİLDİZ, Mehmet Erkan YUKSEL, Selcuk SEVGEN

“…GAN models, which typically handle large datasets, have been successful in the field of deep learning. However, exploring the factors that influence the success of GAN models developed for limited data problems is an important area of research. …”
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A flexible multi-scale approach for downscaling GRACE-derived groundwater storage anomaly using LightGBM and random forest in the Tashk-Bakhtegan Basin, Iran by Arezo Mohtaram, Hossein Shafizadeh-Moghadam, Hamed Ketabchi

“…This was accomplished using a robust and flexible multi-scale approach, leveraging machine learning algorithms, specifically random forest and LightGBM. …”
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A Osseointegration of Dental Implants in Atrophic Regions. The use of Densah Burs, Osseodensification Technique, in Sinus Lift Procedures. A Clinical Case and Review Literature. by Alba Koshovari, Amela Muca, Leart Berdica, Teona Bushati, Laura Fejza, Oltjon Kaja, Ardita Koci

“…However, conclusive findings are still needed for this technique, emphasizing the need for continuous research and learning in our field. …”
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Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…First, several machine learning methods are used to improve the prediction accuracy of electric waybill generation, where the garbage truck recorded on the electric waybill is regarded as a working truck. …”
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Gaussian Process-Based Response Surface Method for Slope Reliability Analysis by Bin Hu, Guo-shao Su, Jianqing Jiang, Yilong Xiao

“…A new response surface method (RSM) for slope reliability analysis was proposed based on Gaussian process (GP) machine learning technology. The method involves the approximation of limit state function by the trained GP model and estimation of failure probability using the first-order reliability method (FORM). …”
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Multivariable Time Series Prediction for the Icing Process on Overhead Power Transmission Line by Peng Li, Na Zhao, Donghua Zhou, Min Cao, Jingjie Li, Xinling Shi

“…The phase-space reconstruction theory and machine learning method were then applied to establish the prediction model, which fully utilized the history of multivariable time series data in local monitoring systems to represent the mapping relationship between icing load and micrometeorology factors. …”
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Immune System in the Brain: A Modulatory Role on Dendritic Spine Morphophysiology? by Oscar Kurt Bitzer-Quintero, Ignacio González-Burgos

“…Based on these observations, it has been proposed that these immune mediators are also implicated in learning and memory processes.…”
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Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain by Wenbin Yao, Caijun Chen, Hongyang Su, Nuo Chen, Sheng Jin, Congcong Bai

“…Different from other researches that analyse the commuting pattern using machine learning algorithms based on all data, this study first extracts commuting pattern vehicles and then designs a key commuting route mining algorithm framework for commuting pattern vehicles. …”
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Original Report: “All inside vs Antero medial portal anterior cruciate ligament reconstruction technique: which is better?” by Lalit Mohan Gupta, Vivek Vivek, Amresh Ghai, Munish Sood, Shalendra Singh, Vikas Dhawan

“…Conclusions: Despite the learning curve, the all-inside ACL reconstruction technique yields outcomes similar to the AM portal technique in terms of functional outcome and return to the preinjury level at mid-term follow-up.…”
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