Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

“…One well-known and highly actual misclassification case concerns gender. As the vast dataset for engineering rules, standards and experiments are based on men, a bias towards women is the subject of research. …”
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Use of Portable Air Purification Systems to Eliminate Aerosol Particles from Patient Rooms by Dominic Dellweg, Gerhard Scheuch, Thomas Voshaar, Dieter Köhler

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Nonlinear-Model-Based Analysis Methods for Time-Course Gene Expression Data by Li-Ping Tian, Li-Zhi Liu, Fang-Xiang Wu

“…The verification with two synthetic datasets shows that our developed significance analysis method and cluster analysis method outperform some existing methods. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Experiments conducted on a self-constructed dataset show that the improved algorithm achieved a mean Average Precision (mAP) of 90.1%, representing a 3.2% increase over the original algorithm. …”
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Shelley Jacksons’s Gender Politics in Patchwork Girl (1995): a Cyborg Approach by Anne-Laure Fortin-Tournès

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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…Abstract This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. Using a dataset with over 250 data points and including solvents encoded with one-hot encoding, four models were compared: Gradient Boosting (GB), Light Gradient Boosting (LGB), Extra Trees (ET), and Random Forest (RF). …”
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Efficient skyline query processing with user-specified conditional preference by Senfu Ke, Xiaodong Fu, Jie Li

“…By integrating user’s conditional preference information, we prune the candidate dataset, effectively compressing the query space. …”
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A geometric morphometric approach for detecting different reproductive stages of a free-ranging killer whale Orcinus orca population by Chloe V. Robinson, Brittany C. Visona-Kelly

“…In this study, we leveraged a four-year dataset of drone-based aerial imagery paired with known reproductive statuses (i.e., non-pregnant, early-stage pregnant, late-stage pregnant, and lactating) for killer whales (Orcinus orca) to develop a geometric morphometric-based protocol for detecting reproductive status. …”
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Investigation of an object-detection approach for estimating the rock fragmentation in the open-pit conditions by K. Reshetnikov, M. Ronkin, S. Porshnev

“…The proposed neural network architecture was trained on a dataset selected by the present authors from digital images of blasted open-pit block fragments, which consisted of 220 images. …”
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Same-Day Access for Head and Neck Cancer: Effect on Patient Outcome and Quality-Related Benchmarks by Allen M. Chen MD, MBA, FASTRO

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An NTCP Analysis of Urethral Complications from Low Doserate Mono- and Bi-Radionuclide Brachytherapy by V. E. Nuttens, A. E. Nahum, S. Lucas

“…The NTCP results all fall in the 19%–23% range and are associated with large uncertainties, making the comparison difficult. Depending on the dataset chosen, the ranking of NTCP values among the six seed implants studied changes. …”
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Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

“…This allows the system to iteratively refine and select the optimal K value based on classification performance, ensuring that the best K is identified for the specific dataset and task. The system utilizes the Grey Level Co-occurrence Matrix (GLCM) for feature extraction, which is robust to changes in rotation and scale. …”
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Dynamics of global economic growth: a Bayesian exploration of basic and augmented Solow models by Nguyen Thi My Diem, Nguyen Ngoc Thach

“…This study rigorously examines both the basic and augmented Solow growth models using a Bayesian non-linear approach applied to a global panel dataset spanning 1970 to 2019. The results demonstrate that the augmented Solow model, which incorporates heterogeneous population growth, savings, technology, and depreciation rates, significantly outperforms the basic model in predictive accuracy. …”
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Environmental Influences on Young Adult Male Height. A Comparison of Town and Countryside in the Netherlands, 1815-1900 by Jan Kok, Erik Beekink, David Bijsterbosch

“…Our dataset allows us to disentangle effects of the family composition, the family’s socio-economic status, food prices, and the environment on bodily growth of 1,738 young men. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…This study focuses on kidney stones, cysts, and tumors, the three most common types of renal illness, using a dataset of 12,446 CT urogram and whole abdomen images, aiming to move toward an AI-based kidney disease diagnosis system while contributing to the wider field of artificial intelligence research. …”
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Structural Analysis of Amylin and Amyloid β Peptide Signaling in Alzheimer’s Disease by Longsheng Xie, Christopher Lockhart, Steven R. Bowers, Dmitri K. Klimov, Mohsin Saleet Jafri

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A review on speech recognition approaches and challenges for Portuguese: exploring the feasibility of fine-tuning large-scale end-to-end models by Yan Li, Yapeng Wang, Lap Man Hoi, Dingcheng Yang, Sio-Kei Im

“…Then, taking European Portuguese speech recognition as an example, it takes the Fairseq-S2T and Whisper as benchmarks tested on a 500-h European Portuguese dataset to estimate the performance of large-scale pre-trained models and fine-tuning techniques. …”
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A novel mathematical model with an LCA-based solution method to minimize earliness-tardiness costs on a single machine by considering batch delivery by Zahra Pourali, Bohlool Ebrahimi

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Weight Fluctuation and Postmenopausal Breast Cancer in the National Health and Nutrition Examination Survey I Epidemiologic Follow-Up Study by Marina Komaroff

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Investigation of the Possible Correlation between Idiopathic Parkinson’s Disease and Diabetes Mellitus in Egyptian Patients: A Pilot Study by Afnan AwadAllah Elgnainy, Mohammad Ismail Hamed, Wael Osman Mohamed, Nagwa Ali Sabri

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