Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

“…The generated models are built applying algorithms based on penalized regression, resampling, categorization, cross validation, and variable selection. …”
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Potential cost savings from generic medicines – protecting the Prescribed Minimum Benefits by Elizabeth Nicolosi, Andy Gray

“…Cost differentials, where available, were then identified for each medicine listed in the algorithms. Cost differentials for medicines within each algorithm were presented as the median of the difference between brand and generic medicines listed for that algorithm, and also as the median of differences between generic medicines for the same condition. …”
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Interval models of nonequilibrium physicochemical processes by Alexander Yu. Morozov, Dmitry L. Reviznikov, Vladimir Yu. Gidaspov

“…The paper discusses the application of the adaptive interpolation algorithm to problems of chemical kinetics and gas dynamics with interval uncertainties in reaction rate constants. …”
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A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

“…However, the framework may require significant computational resources, and its performance may be sensitive to the quality of input data, particularly for stations with limited measurements.…”
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Current understanding of the rational diagnostics and treatment of acquired myasthenia gravis. Part 2: treatment by S. N. Bardakov, S. A. Zhivolupov, E. R. Barantsevich, M. V. Zakharov, I. N. Samartsev

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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

“…Here, we review the main stages of ML, the principles of algorithms action, and the prospects for using AI to predict OH in real-life clinical practice.…”
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Robust Self-Calibration of Subreflector Actuators Under Noise and Limited Workspace Conditions by Guljaina Kazezkhan, Na Wang, Qian Xu, Shangmin Lin, Hui Wang, Fei Xue, Feilong He, Xiaoman Cao

“…Conventional least-squares methods are vulnerable to noise and outliers, and their accuracy may degrade when limited pose diversity leads to poor parameter excitation. …”
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Conceptual Framework for the Organization of Rural Areas: A Study Based on the Identification of Agglomeration Patterns by Aleksandr A. Tiutiunikov, Andrei V. Ulezko

“…The results of this study may be useful for the development of strategies and programs for socio-economic development at the regional and municipal levels.…”
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Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

“…Validation is performed through comparison with existing algorithms. Results:: The ANN model predicts flow properties with great accuracy, as evidenced by a mean squared error of less than 10−4. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

“…Background: Large-scale diagnostic testing has been proven ineffective for prompt monitoring of the spread of COVID-19. Electronic resources may facilitate enhanced early detection of epidemics. …”
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Multi-dimensional sleep health and dementia risk: a prospective study in the UK Biobank by Tianyi Huang, May A. Beydoun, Sina Kianersi, Susan Redline, Lenore J. Launer

“…Abstract Background The intricate interplay of various sleep characteristics may influence dementia risk through different pathogenic pathways. …”
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Associations of street-view greenspace exposure with cardiovascular health (Life’s Essential 8) among women in midlife by Sheryl L. Rifas-Shiman, Li Yi, Izzuddin M. Aris, Pi-I Debby Lin, Marie-France Hivert, Jorge E. Chavarro, Esra Suel, Peter James, Emily Oken

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Minority Report: the Road to a Deterministic Theory for the Philosophy of Criminal Law by Nicolás Salvi, Santiago Nigri

“…Finally, we conclude with the prospects that these changes may have for governments, their justice administration policies and power relations in the near future of “algorithmic republics”.…”
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Artificial Intelligence Meets Bioequivalence: Using Generative Adversarial Networks for Smarter, Smaller Trials by Anastasios Nikolopoulos, Vangelis D. Karalis

“…To show the utility of generative AI algorithms in BE testing, this study applied Monte Carlo simulations of 2 × 2 crossover BE trials, combined with WGANs. …”
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Reconceptualizing Gatekeeping in the Age of Artificial Intelligence: A Theoretical Exploration of Artificial Intelligence-Driven News Curation and Automated Journalism by Dan Valeriu Voinea

“…We found pervasive Simon’s theory that reliance on third-party AI platforms transfers authority from newsrooms, creating power dependencies that may undercut journalistic autonomy. Moreover, adaptive algorithms learn from user behavior, creating feedback loops that dynamically shape news diversity and bias over time. …”
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Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK by Emily Neil, Ernesto Carrella, Richard Bailey

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A Review of Systematic Methodologies for Shipyard Facility Layout Design by Ghulam Tulus Pambudi, Gunawan Gunawan, Dimas Angga Fakhri Muzhoffar, Wanda Rulita Sari

“…Heuristic algorithms, including genetic algorithms and simulated annealing, offer flexible and rapid solutions but may not always achieve global optimization. …”
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Development of A Novel Discharge Routing Method Based On the Large Discharge Dataset, Muskingum Model, Optimization Methods, and Multi-Criteria Decision Making by Mahdi Valikhan Anaraki, Saeed Farzin, Iman Ahmadianfar, Amin Shams

“…However, calibrating the Muskingum model for large datasets requires powerful optimization algorithms. Metaheuristic Optimization Algorithms (MOAs) can accurately calibrate the Muskingum model, but their performance may vary. …”
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THE OPERATORS OF THE GENERALIZED DIFFERENTIATION OF THE FUNCTIONS IN THE CALCULATION METHOD OF STATING THE VALUE OF WIND VELOCITY FIELD IN THE ATMOSPHERE, WHICH IS BASED ON THE NAV... by Igor E. Naats, Roman A. Ryskalenko

“…The Navie - Stoks vector equation is considered and for it creation computing algorithm on the basis of operators of the generalized differentiation of the functions corresponding to empirical data of a task, with the help of that may be state the value of wind velocity field consideration terms in it, which are formed of turbulent viscosity in the frontier layer of the atmosphere.…”
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Targeted Chemical Looping Materials Discovery by an Inverse Design by Brett A. Duell, Ali Ramazani, Sittichai Natesakhawat, Eric J. Popczun, Jonathan W. Lekse, Yuhua Duan

“…Chemical looping with oxygen uncoupling (CLOU) materials is actively sought for combustion of carbonaceous materials to achieve complete conversion and capture of carbon dioxide. These materials may play a vital role in reducing atmospheric carbon via negative carbon output. …”
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