Investigating patterns of freeway crashes in Jordan: Findings from a text mining approach by Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Ahmed Hossain, Mohammed Elhenawy

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Deep Learning Based Cross Domain Sentiment Classification for Urdu Language by Amna Altaf, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Sana Hassan, Usama Ijaz Bajwa, Gyu Sang Choi, Imran Ashraf

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Acoustic-Based Machine Main State Monitoring for High-Speed CNC Drilling by Pimolkan Piankitrungreang, Kantawatchr Chaiprabha, Worathris Chungsangsatiporn, Chanat Ratanasumawong, Peemdej Chancharoen, Ratchatin Chancharoen

“…By integrating big data concepts and intelligent algorithms, the system supports continuous monitoring, anomaly detection, and process optimization. …”
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The Process of Constructing the Female Self in Family: Rethinking About Sacricity of Family and Indecency of Divorce (Case Study of Women from University of Tehran) by Zahra Aghajani, Jahangir Jahangiri, abdolali lahsaeizadeh

“…Our method is Grounded Theory for understanding the “process of constructing Identity”, but during our research we faced with troubles arised from its methodological requirements and assumptions, which was an obstacle to the realistic interpretations of the data. …”
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Prior contextual information and autistic traits influence eye gaze behaviour and emotional valence ratings for facial expressions by Özge Karakale, Nicole Nelson, Amina Gredelj, Kelly Jayne Ryan, Anil Bayindir

“…These results suggest that while both groups integrate prior information in sensory-driven processes like gaze behaviour, context-sensitive reflective judgments are more evident in individuals with lower autistic traits, highlighting trait-linked differences in predictive processing in social cognition.…”
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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing by Jason E. Johnson, Ishat Raihan Jamil, Liang Pan, Guang Lin, Xianfan Xu

“…The proposed active learning framework uses Bayesian optimization to inform optimal experimentation in order to adaptively collect the most informative data for effective training of a Gaussian-process-regression-based machine learning model. …”
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A sociotechnical perspective for explicit unfairness mitigation techniques for algorithm fairness by Nimisha Singh, Amita Kapoor, Neha Soni

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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Strategic Efforts to Enhance the Mudharabah Financing Portfolio at PT Bank Sumut Syariah Medan through the Analytic Network Process (ANP) Approach by Ririn Anjani Rangkuti, Yenni Samri Juliati Nasution, Tuti Anggraini

“…This study aims to formulate strategies to enhance the mudharabah financing portfolio at PT Bank Sumut Syariah in Medan using the Analytic Network Process (ANP) method. Data were collected through in-depth interviews with experts, regulators, and practitioners involved in mudharabah financing. …”
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Eye-tracking metrics to compare visual attention in prosthodontic preclinical evaluations by Frédéric Silvestri, Abhishek Kumar, Maria Christidis, Anastasios Grigoriadis

“…Clinical significance These findings can refine pre-clinical prosthodontic education by fostering expert-like visual processing skills, enabling students to better understand and perform prosthodontic tasks. …”
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A Novel Strategy for Automatic Selection of Cross‐Basin Data to Improve Local Machine Learning‐Based Runoff Models by Congyi Nai, Xingcai Liu, Qiuhong Tang, Liu Liu, Siao Sun, Paul P. J. Gaffney

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Application of quantitative protein mass spectrometric data in the early predictive analysis of membrane-bound target engagement by monoclonal antibodies by Armin Sepp, Morris Muliaditan

“…Physiologically based pharmacokinetic (PBPK) modeling indicates that in these conditions only about 0.05% of the dosed mAb is likely to reach the solid tumor target cells. The rest of the dose is eliminated in healthy tissues via both nonspecific and target-mediated processes. …”
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Viral epidemics in a cell culture: novel high resolution data and their interpretation by a percolation theory based model. by Balázs Gönci, Valéria Németh, Emeric Balogh, Bálint Szabó, Ádám Dénes, Zsuzsanna Környei, Tamás Vicsek

“…Because of its relevance to everyday life, the spreading of viral infections has been of central interest in a variety of scientific communities involved in fighting, preventing and theoretically interpreting epidemic processes. Recent large scale observations have resulted in major discoveries concerning the overall features of the spreading process in systems with highly mobile susceptible units, but virtually no data are available about observations of infection spreading for a very large number of immobile units. …”
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Organ procurement processes in the operating room: The effects of an educational session on levels of confidence and understanding in operating room registered nurses and surgical... by Ann Ross, Janet Reilly, Emily Halla, Kathryn Anderson

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Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data. by Adam J Kucharski, Justin Lessler, Jonathan M Read, Huachen Zhu, Chao Qiang Jiang, Yi Guan, Derek A T Cummings, Steven Riley

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Multi-omic integration of single-cell data uncovers methylation profiles of super-enhancers in skeletal muscle stem cells by Anyu Zeng, Hailong Liu, Shuling He, Xuming Luo, Zhiqi Zhang, Ming Fu, Baoxi Yu

“…Methods The ROSE software was employed to identify super enhancers from the ChIP-seq data obtained from the ENCODE database. Additionally, the ALLCools and Methylpy packages were applied to analyze the methylation profile of SEs and to identify differentially methylated regions (DMRs) between aged and control samples using single-cell bisulfite sequencing (scBS-seq) data from the Gene Expression Omnibus (GEO) database. …”
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Sistem Rekomendasi Dua Arah untuk Pemilihan Dosen Pembimbing Menggunakan Data Histori dan Skyline View Queries by Global Ilham Sampurno, Annisa Annisa, Sony Hartono Wijaya

“…Therefore, this issue is likely not considered when the student propose his/her thesis supervisor. …”
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Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction by Andres Ramirez-Jaime, Gonzalo R. Arce, Nestor Porras-Diaz, Oleg Ieremeiev, Andrii Rubel, Vladimir Lukin, Mateusz Kopytek, Piotr Lech, Jarosław Fastowicz, Krzysztof Okarma

“…Spaceborne LiDAR systems are crucial for Earth observation but face hardware constraints, thus limiting resolution and data processing. We propose integrating compressed sensing and diffusion generative models to reconstruct high-resolution satellite LiDAR data within the Hyperheight Data Cube (HHDC) framework. …”
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Investigating tectonic links between the deep Volturno plain and Campanian volcanism using vintage seismic and potential field data by Pier Paolo G. Bruno, Maria Luisa Putignano, Federico Cella, Giovanni Florio

“…This paper also highlights the value of integrating legacy seismic and potential field data using modern techniques to unravel the interplay of tectonic and magmatic processes.…”
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Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach by Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal

“…The accuracy of the LULC estimates for 2022 was verified by comparing them with observed data, ensuring the model’s reliability. Moreover, the presence of evidence likely was found to be a significant factor that had a substantial impact on the accuracy of the model. …”
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