Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification by Jonathan Schler, Elisheva Bonchek-Dokow

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Parametric evaluation and predictive modelling of formability in μ-SPIF process by Sahu Vijay Kumar, Das Purnendu, Adhikary Avishek, Bandyopadhyay Kaushik

“…In this study, the effect of wall angle, step depth, spindle speed and feed rate on the formability, forming height, process time and surface roughness have been studied in the micro-forming of Aluminium sheet of 50µm thickness with a hemispherical-tip microtool of 1 mm diameter. …”
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On the relationship of Poisson’s ratio with geophysical characteristics of rocks by D. V. Shustov, Yu. A. Kashnikov, A. E. Kukhtinskii, A. A. Efimov

“…These dependencies allow for more accurate estimation of the Poisson’s ratio for different types of rocks and fields, representing a significant step in developing methods for assessing elastic properties of rocks in oil fields. …”
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Knowledge distillation with resampling for imbalanced data classification: Enhancing predictive performance and explainability stability by Kazuki Fujiwara

“…Our approach employs a two-step learning process: (1) training a balanced teacher model using RUS and (2) training an imbalanced student model through response-based KD, utilizing both soft and hard targets. …”
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Healthcare student engagement with health-related content through Netflix mini-series: a qualitative study by Nino Fijačko, Špela Metličar, Gregor Štiglic, Lucija Gosak, Roger Watson

“…Healthcare students attended this event as part of their summer school program. We employed a six-step thematic analysis framework to analyze the collected data and Sankey diagrams were used for visualization. …”
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Optical coherence tomography for early detection of crop infection by Ghada Salem Sasi, Stephen J. Matcher, Adrien Alexis Paul Chauvet

“…Early detection of crop infection by fungus is the very first step to deploying a timely and effective treatment. …”
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Dual Branch Encoding Feature Aggregation for Cloud and Cloud Shadow Detection of Remote Sensing Image by Naikang Shi, Haifeng Lin, Huiwen Ji, Min Xia

“…Cloud detection is a critical preprocessing step for optical remote sensing imagery. However, traditional CNN-based methods have limitations in global feature modeling, while Transformer models, despite their strong global modeling capability, struggle to capture fine-grained local details effectively. …”
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“What is my initial impression of midwifery”: a phenomenological study of first year student experiences after a redeveloped course by Lanli Zou, Huanying Yi, Siqi Zhang, Caihong Zhang, Rong Zhou, Rong Hu, Tong Li, Honghua Guo

“…Method A semi-structured interview was conducted. Colaizzi’s 7-step analysis was used for data analysis. Findings The cognitive and affective aspects of the course for first-year midwifery students can be summarized into four themes: initial impressions, professional emotional transformation, behavioural changes in learning and student suggestions. …”
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Precision‐Optimised Post‐Stroke Prognoses by Thomas M. H. Hope, Howard Bowman, Rachel M. Bruce, Alex P. Leff, Cathy J. Price

“…Providing such predictions for subsets of patients might be a reasonable intermediate step on the way to providing them for all.…”
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Fake News Detection With Credibility Scoring on Turkish Twitter Data by Ozlem Aydin Fidan, Emir Ozturk, Husein Kantarci

“…In this study, fake news detection was performed using deep learning methods on tweets and their credibility scores from a Turkish Twitter news dataset. …”
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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

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ML-Driven Transistor Self-Heating Analysis From TCAD to Large IP Circuits by Simon Thomann, Nico Mayr, Albi Mema, Hussam Amrouch

“…Our method provides the thermal map for every transistor and time step. The voltage and thermal traces are processed with an aging framework to estimate the expected aging more realistically. …”
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

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Integrating VR, AR, and Haptics in Basic Surgical Skills Training: A Review and Perspective by Filippo Sanfilippo, Gionata Salvietti, Tomas Blazauskas, Guido Gabriele, Maria Zafar, Minh Tuan Hua, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Patrikas Armalis, Mohammad Poursina, Povilas Ignatavicius, Andrejus Subocius, Audrius Parseliunas, Ernest Margelis

“…Such an approach allows for step-based training, where students may begin acquiring skills through immersive learning, then move to special surgical simulators, and finally to patients. …”
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Detection of Agricultural Terraces Platforms Using Machine Learning from Orthophotos and LiDAR-Based Digital Terrain Model: A Case Study in Roya Valley of Southeast France by Michael Vincent Tubog, Karine Emsellem, Stephane Bouissou

“…Terraces have long transformed steep slopes into gradual steps, reducing erosion and enabling agriculture on marginal land. …”
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Prediction Method for Mechanical Characteristic Parameters of Weak Components of 110 kV Transmission Tower under Ice-Covered Condition Based on Finite Element Simulation and Machin... by Lin Yang, Lulu Mei, Yifei Chen, Yanpeng Hao, Licheng Li, Jianrong Wu, Xianyin Mao

“…Aiming at the lack of research on predicting mechanical characteristic parameters of weak components of transmission towers, and the cumbersome steps of building a finite element model (FEM), the study of prediction for mechanical characteristic parameters of weak components of towers based on a finite element simulation and machine learning is proposed. …”
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Addressing the Black-Box Challenge: Confidence Index Approach to Grading of Open-Ended Assessments in Accounting Education by Husain

“…The study provides critical steps for transparent ML grading to balance subjective and objective metrics, while ensuring fairness and reliability in academic and professional assessments …”
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Efficient and Motion Correction-Free Myocardial Perfusion Segmentation in Small MRI Data Using Deep Transfer Learning From Cine Images: A Promising Framework for Clinical Implement... by German Garcia-Jara, Angel Jimenez-Molina, Esteban Reyes, Nicolas Tapia-Rivas, Cristobal Ramos-Gomez, Jose De Grazia, Matias Sepulveda

“…Perfusion cardiovascular magnetic resonance imaging is used to quantify the heart’s blood flow, which requires the segmentation of the myocardium, a laborious task. Deep learning-based methods, the most accurate to accomplish this task, still rely on expensive motion correction steps and require large labeled datasets. …”
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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…Finally, a Dynamic Changing Step Length Development strategy is incorporated to enhance the randomness and development capability. …”
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Baseline Knowledge and Change in Confidence after Learning First Aid from Emergency Physicians: A Pre–Post Interventional Study of 2462 High School Junior Red Cross Cadets by Siju V. Abraham, S Vimal Krishnan, Tijo George, Vimal Koshy Thomas, Sajin P. Sunny, Sahla Hassan, Antony Joseph Thekekara, V. Harihara Jothi

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