Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. by Sam Hodgson, Qin Qin Huang, Neneh Sallah, Genes & Health Research Team, Chris J Griffiths, William G Newman, Richard C Trembath, John Wright, R Thomas Lumbers, Karoline Kuchenbaecker, David A van Heel, Rohini Mathur, Hilary C Martin, Sarah Finer

“…<h4>Background</h4>Type 2 diabetes (T2D) is highly prevalent in British South Asians, yet they are underrepresented in research. Genes & Health (G&H) is a large, population study of British Pakistanis and Bangladeshis (BPB) comprising genomic and routine health data. …”
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Impossible differential cryptanalysis of reduced-round <inline-formula><alternatives><math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><msup><mrow><mi mathvariant="bold-... by DU Xiaoni, YU Tian, JIA Meichun, LIANG Lifang

“…></graphic></alternatives></inline-formula>. Compared with the previous research, the study achieves the longest attack rounds, and the data complexity is effectively reduced.…”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…The proposed algorithm of the preimage generation is significantly efficient from the standpoint of the algorithmic complexity compared to the full enumeration method. …”
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Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility by Jemar R. Bather, Melody S. Goodman, Adrian Harris, Guilherme Del Fiol, Rachel Hess, David W. Wetter, Daniel Chavez-Yenter, Lingzi Zhong, Lauren Kaiser-Jackson, Rachelle Chambers, Richard Bradshaw, Wendy Kohlmann, Sarah Colonna, Whitney Espinel, Rachel Monahan, Saundra S. Buys, Ophira Ginsburg, Kensaku Kawamoto, Kimberly A. Kaphingst, on behalf of the BRIDGE research team

“…Covariates included study arm, study site, age, sex, race/ethnicity, language preference, rural residence, having a recorded primary care provider, and number of algorithm criteria met. Results Patients living in areas of medium socioeconomic status (SES) vulnerability had lower odds of initiating pre-test genetic services (adjusted OR [aOR] = 0.81, 95% CI: 0.67, 0.98) compared to patients living in low SES vulnerability areas. …”
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Multimorbidity clusters and their associations with health-related quality of life in two UK cohorts by Lewis Steell, Stefanie J. Krauth, Sayem Ahmed, Grace O. Dibben, Emma McIntosh, Peter Hanlon, Jim Lewsey, Barbara I. Nicholl, David A. McAllister, Susan M. Smith, Rachael Evans, Zahira Ahmed, Sarah Dean, Colin Greaves, Shaun Barber, Patrick Doherty, Nikki Gardiner, Tracy Ibbotson, Kate Jolly, Paula Ormandy, Sharon A. Simpson, Rod S. Taylor, Sally J. Singh, Frances S. Mair, Bhautesh D. Jani, the PERFORM research team

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Adaptive Grid Generation by Solving One-Dimensional Diffusion Equation Using Physics-Informed Neural Networks by Olzhas Turar, Maksat Mustafin, Darkhan Akhmed-Zaki

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Electric Vehicle Routing Problem with Heterogeneous Energy Replenishment Infrastructures Under Capacity Constraints by Bowen Song, Rui Xu

“…Through small-scale instance experiments, we have verified the computational complexity of the problem and demonstrated HACO’s superior performance compared to the Gurobi solver. Furthermore, comparative studies with other advanced heuristic algorithms confirm HACO’s effectiveness in solving the EVRP-HERI-CC. …”
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A GNN-Based False Data Detection Scheme for Smart Grids by Junhong Qiu, Xinxin Zhang, Tao Wang, Huiying Hou, Siyuan Wang, Tiejun Yang

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An Enhanced Error-Adaptive Extended-State Kalman Filter Model Predictive Controller for Supercritical Power Plants by Gang Chen, Shan Hua, Changhao Fan, Chun Wang, Shuchong Wang, Li Sun

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Inspiring from Galaxies to Green AI in Earth: Benchmarking Energy-Efficient Models for Galaxy Morphology Classification by Vasileios Alevizos, Emmanouil V. Gkouvrikos, Ilias Georgousis, Sotiria Karipidou, George A. Papakostas

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

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Efficient and Robust Arabic Automotive Speech Command Recognition System by Soufiyan Ouali, Said El Garouani

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Forecasting Cancer Incidence in Canada by Age, Sex, and Region Until 2026 Using Machine Learning Techniques by Ehsan Kaviani, Kalpdrum Passi

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Masked Convolutions Within Skip Connections for Video Anomaly Detection by Demetris Lappas, Vasileios Argyriou, Dimitrios Makris

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Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance by Pablo Neirz, Hector Allende, Carolina Saavedra

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Decoding PM_2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM by Minru Chen, Binglin Liu, Mingzhi Liang, Nini Yao

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Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate by Simran Singh Dhesi, Pratik Adusumilli, Nishant Ravikumar, Mohammed A. Waduud, Russell Frood, Alejandro F. Frangi, Garry McDermott, James H. F. Rudd, Yuan Huang, Jonathan R. Boyle, Maysoon Elkhawad, David E. Newby, Nikhil Joshi, Jing Yi Kwan, Patrick Coughlin, Marc A. Bailey, Andrew F. Scarsbrook

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Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics by Sándor Szénási, Gábor Légrádi, Gábor Kovács

“…This model was used in a novel alternating method (using traditional and Machine Learning-based steps) to predict the optimal step size for each iteration. This hybrid algorithm was compared to the already-known variants. …”
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Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization by Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo

“…In this work, the NSGA-II multi objective genetic algorithm, numerical methods, and parametric design techniques found in the Autodesk Inventor professional 2023 CAD software were combined to perform the geometrical optimization of the Pelton bucket geometry. …”
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Predicting the Magnitude of Earthquakes Using Grammatical Evolution by Constantina Kopitsa, Ioannis G. Tsoulos, Vasileios Charilogis

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