Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…A pre-trained model is developed to extract comprehensive features from colored mammography images by employing this approach. …”
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Anomaly-Guided Double Autoencoders for Hyperspectral Unmixing by Hongyi Liu, Chenyang Zhang, Jianing Huang, Zhihui Wei

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Quality Control Charts for EWMA with Wavelet Shrinkage: A Simulation Study by Esraa Haydier, Dlshad Saleh, Taha Ali, Bekhal Sedeeq

“…The study aims to utilise modern statistical techniques to analyze data often sensitive to small changes. …”
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Decoding disease–specific ageing mechanisms through pathway-level epigenetic clock: insights from multi-cohort validationResearch in context by Pan Li, Jijun Zhu, Shenghan Wang, Haowen Zhuang, Shunjie Zhang, Zhongting Huang, Fuqiang Cai, Zhijian Song, Yuxin Liu, Weixin Liu, Sebastian Freidel, Sijia Wang, Emanuel Schwarz, Junfang Chen

“…A two-stage machine learning model aggregated CpG sites into GO or KEGG pathway-level features to predict chronological age. Model accuracy was assessed using mean absolute error (MAE) and Pearson correlation (Rho). …”
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Analysis of entropy generation in tri-hybrid nanofluid flow towards a spinning disk under the influence of hall effect and variable viscosity by Moh Yaseen, Ritu Bartwal, Anum Shafiq, Sawan Kumar Rawat, Qasem M. Al-Mdallal, Umesh Khanduri, Tabassum Naz Sindhu

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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…In some scenarios, analysis of the data using Poisson and midSIN algorithms provided more consistent and statistically significant discrimination of different seed concentrations. …”
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Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…Functional modules such as Dynamic Temporal Refinement (DTR) and Multi-Stage Adaptive Feature Selection (MSAFS) enable adaptive temporal modeling and feature prioritization across non-IID client data. …”
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Geospatial Approach to Soil Fertility Mapping in Dailekh District, Nepal: A GIS Perspective by Gaurab Dhakal, Sanket Kattel

“…Before making a map, sampled datasets were examined using the trend analysis feature of Arc Map using second-order polynomials in 3D scattered plots. …”
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Multi-Sensor Information Fusion Positioning of AUKF Maglev Trains Based on Self-Corrected Weighting by Qian Hu, Hong Tang, Kuangang Fan, Wenlong Cai

“…It combines the Sage–Husa algorithm with the unscented Kalman filter (UKF) to form the AUKF algorithm using the data collected by the cross-sensor lines, INS, Doppler radar, and GNSS, which adaptively updates the statistical feature estimation of the measurement noise and eliminates the single-function and low-integration shortcomings of the various modules to achieve the precise positioning of maglev trains. …”
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Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study by Bo Cao, Jun Hu, Haige Li, Xuebing Liu, Chang Rong, Shuai Li, Xue He, Xiaomin Zheng, Kaicai Liu, Chuanbin Wang, Wei Guo, Xingwang Wu

“…The CT images were processed by the nnU-Net model to obtain autosegmentation results and extract radiomic features. The least absolute shrinkage and selection operator (LASSO) method selects optimal features for calculating the Radscore and constructing a radiomic model. …”
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The Effect of Gamified Physical Activities on the Quality of Students' Leisure Time (Case Study: Female Secondary School Students in Ardabil City) by aylar sefidgar, Hamed Kheirollahi Meidani, Mehrdad Moharramzadeh

“…All these activities were conducted under strict supervision to prevent external influences and potential errors. The classes were held over two months, with two one-hour sessions each week. 4. …”
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EMR usability and patient safety: a national survey of physicians by David Schwappach, Wolf Hautz, Gert Krummrey, Yvonne Pfeiffer, Raj M. Ratwani

“…Canonical discriminant analysis identified key differentiating usability features, including system response times, excessive alerts, prevention of data entry errors, and support for collaboration. …”
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Torments Through Time: Pardon in Brazilian Military Penal Law between Early Modern Rules and Liberal Justice (Council of State, 1842-1889) by Arthur Barrêtto de Almeida Costa

“…Did pardon of soldier offenders too retained its older features, completing the logic of Ancien Régime punishment, based on the duality fear/love? …”
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Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters by Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg

“…Synthetic training data are generated using emulation models under normal and faulty conditions, and feature vectors are constructed using a compact, interpretable set of statistical and spectral descriptors. …”
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Enhancing model robustness to imbalanced species abundance distributions: Eliminating misclassified records via a model-agnostic approach, exemplified by tuna fisheries datasets by Zhexuan Li, Tianjiao Zhang, Liming Song

“…Anomalies in species abundance data can potentially cause classification errors in ecological forecasting models. Accurate estimation of anomalies locations can enhance the predictive capacity of models. …”
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A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren's Syndrome. by Katherine James, Shereen Al-Ali, Jessica Tarn, Simon J Cockell, Colin S Gillespie, Victoria Hindmarsh, James Locke, Sheryl Mitchell, Dennis Lendrem, Simon Bowman, Elizabeth Price, Colin T Pease, Paul Emery, Peter Lanyon, John A Hunter, Monica Gupta, Michele Bombardieri, Nurhan Sutcliffe, Costantino Pitzalis, John McLaren, Annie Cooper, Marian Regan, Ian Giles, David Isenberg, Vadivelu Saravanan, David Coady, Bhaskar Dasgupta, Neil McHugh, Steven Young-Min, Robert Moots, Nagui Gendi, Mohammed Akil, Bridget Griffiths, UK Primary Sjögren’s Syndrome registry, Anil Wipat, Julia Newton, David E Jones, John Isaacs, Jennifer Hallinan, Wan-Fai Ng

“…Classification was assessed using area under curve (AUC) of receiver operator characteristic and standard error of Wilcoxon statistic, SE(W).<h4>Results</h4>Although no genes were individually found to be associated with fatigue, 19 metabolic pathways were enriched in the high fatigue patient group using GSEA. …”
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TAME Pain data release: using audio signals to characterize pain by Tu-Quyen Dao, Eike Schneiders, Jennifer Williams, John Robert Bautista, Tina Seabrooke, Ganesh Vigneswaran, Rishik Kolpekwar, Ritwik Vashistha, Arya Farahi

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Anytime Optimal Trajectory Repairing for Autonomous Vehicles by Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig

“…Occasional perception errors inherent in artificial intelligence further complicate the task. …”
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Change of stable snow cover destruction dates in Northern Eurasia, 1936–2008: impact of global warming and the role of large-scale atmospheric circulation by V. V. Popova, I. A. Polyakova

“…Only for the Far East and the most northern regions characterized by extremely rare network interpolation of station data may lead to significant errors.Patterns of the means and the standard deviation of the stable snow cover destruction dates (1936–2008) demonstrate principal large-scale features of spatial distribution of this parameter (Fig. 2 а, б). …”
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Studying the Safety Impact of Autonomous Vehicles Using Simulation-Based Surrogate Safety Measures by Mark Mario Morando, Qingyun Tian, Long T. Truong, Hai L. Vu

“…Autonomous vehicle (AV) technology has advanced rapidly in recent years with some automated features already available in vehicles on the market. …”
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