Randomized-field microwave-assisted pharmaceutical lyophilization with closed-loop control by Alina A. Alexeenko, Ahmad Darwish, Drew Strongrich, Petr Kazarin, Chanakya Patil, Cole W. Tower, Isaac S. Wheeler, Eric Munson, Qi Zhou, Vivek Narsimhan, Kyu Yoon, Steven L. Nail, Anthony Cofer, Justin Stanbro, Harshil Renawala, Daniel Roth, Francis DeMarco, Justin Griffiths, Dimitrios Peroulis

“…Closed-loop control algorithms enable direct control of the product temperature throughout the drying process, ensuring the material is dried at an optimal rate. …”
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Understanding and detection of process instabilities in wire arc directed energy deposition additive manufacturing using meltpool imaging and machine learning by André Ramalho, Anis Assad, Benjamin Bevans, Fernando Deschamps, Telmo G. Santos, J.P. Oliveira, Prahalada Rao

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Mathematical model of a lightweight three-axle off-road vehicle construction for Arctic zone of Russia by I. E. Agureev, V. N. Bondarenko

“…The system is integrated using the 4th order RungeKutta method, for which a program was written in C++. …”
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Co-occurrence of sudden feeding behaviour deviations and welfare issue onsets in growing-finishing pigs by Jacinta D. Bus, Rudi M. de Mol, Laura E. Webb, Eddie A. M. Bokkers, Iris J. M. M. Boumans

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Machine learning for prediction of 30-day mortality in patients with advanced cancer: comparing pan-cancer and single-cancer models by S. Bjerregaard-Michelsen, L.Ø. Poulsen, A. Bjerrum, M. Bøgsted, C. Vesteghem

“…Background: Systemic anticancer therapy (SACT) near the end of life (EOL) reduces the quality of the patient’s remaining life without clinical benefit. …”
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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

“…Current CAD systems use grayscale analysis, which lacks the contrast needed to differentiate benign from malignant lesions. …”
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The Radio and Microwave Sky as Seen by Juno on its Mission to Jupiter by C. J. Anderson, P. Berger, T.-C. Chang, O. Doré, S. Brown, S. Levin, M. Seiffert

“…We also estimate the level of systematic pixelization noise and polarization leakage via simulations.…”
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ROLE OF COMPUTED TOMOGRAPHY WITH PNEUMOGASTROGRAPHY IN DETERMINING THE REGRESSION GRADE OF LOCALLY ADVANCED GASTRIC CANCER AFTER NEOADJUVANT CHEMOTHERAPY by I. D. Amelina, A. M. Karachun, D. V. Nesterov, L. N. Shevkunov, A. S. Artemieva, S. S. Bagnenko, S. L. Trofimov

“…Advances in anticancer therapy dictate the need to develop systems for assessing tumor response to new treatment modalities.Material and Methods. …”
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…Sweet potato leaf curl virus (SPLCV) is a systemic viral disease of sweetpotato plants causing significant yield losses and posing a major threat to sweetpotato production. …”
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Features of Statistical Accounting of Allergic Diseases in Children — Evidence from Moscow by Anita R. Denisova, Alexander B. Malahov, Alexandr N. Pampura, Elena A. Vishneva, Margarita A. Soloshenko, Nikoloz M. Gaboshvili, Leyla S. Namazova-Baranova

“…The differences in the incidence rates of allergic diseases revealed by a comparative analysis of data from various sources — UMIAS and FSO No. 12 — indicate the need to improve both the system of statistical registration of incidence and the development of modern algorithms for early diagnosis and dynamic monitoring of children with allergies.…”
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A low-cost platform for automated cervical cytology: addressing health and socioeconomic challenges in low-resource settings by José Ocampo-López-Escalera, Héctor Ochoa-Díaz-López, Xariss M. Sánchez-Chino, César A. Irecta-Nájera, Saúl D. Tobar-Alas, Martha Rosete-Aguilar

“…However, its effectiveness in low-resource settings has been limited, among other factors, by insufficient diagnostic infrastructure and a shortage of trained healthcare personnel.MethodsThis paper introduces the development of a low-cost microscopy platform designed to address these limitations by enabling automatic reading of cervical cytology slides. The system features a robotized microscope capable of slide scanning, autofocus, and digital image capture, while supporting the integration of artificial intelligence (AI) algorithms. …”
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Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study by Johan Roussel, Zoubeir Lafhaj, Pascal Yim, Thomas Danel, Laure Ducoulombier

“…This research underscores the importance of an algorithmic approach tailored to both the thermal characteristics of the building and the computational capabilities of industrial infrastructure, with feature importance analysis confirming that external temperature and heating system states are the primary predictive factors, thereby helping to optimize industrial operations.…”
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Alfalfa stem count estimation using remote sensing imagery and machine learning on Google Earth Engine by Hazhir Bahrami, Karem Chokmani, Saeid Homayouni, Viacheslav I. Adamchuk, Md Saifuzzaman, Rami Albasha, Maxime Leduc

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In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As data become increasingly large, diverse and fast-moving, conventional processing systems often fall short of the performance required for modern analytics.Objective: This research seeks to thoroughly assess the performance of two prominent big data processing frameworks-Apache Spark (in-memory computing) and MapReduce (disk-based computing)-with a focus on applying random forest algorithms to predict stock prices. …”
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COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment by Lili Jiang, Liu Yang, Yang Huang, Yi Wu, Huixian Li, XiYan Shen, Meng Bi, Lin Hong, Yiting Yang, Zuping Ding, Wenjie Chen

“…Establishing an effective water ecological prediction model can detect changes in the ecological environment system quickly and effectively. In order to detect high error rate and poor convergence of the water ecological chemical oxygen demand (COD) prediction model, combining the limit learning machine (ELM) model and whale optimization algorithm, CAWOA is improved by the sin chaos search strategy, while the ELM optimizes the parameters of the algorithm to improve convergence speed, thus improving the generalization performance of the ELM. …”
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A Public Dataset of Annotated Orcinus orca Acoustic Signals for Detection and Ecotype Classification by K. J. Palmer, Emma Cummings, Michael G. Dowd, Kait Frasier, Fabio Frazao, Alex Harris, April Houweling, Jasper Kanes, Oliver S. Kirsebom, Holger Klinck, Holly LeBlond, Lauren Laturnus, Craig Matkin, Olivia Murphy, Hannah Myers, Dan Olsen, Caitlin O’Neill, Bruno Padovese, James Pilkington, Lucy Quayle, Amalis Riera Vuibert, Krista Trounce, Svein Vagle, Scott Veirs, Val Veirs, Jen Wladichuk, Jason Wood, Tina Yack, Harald Yurk, Ruth Joy

“…This curated dataset aims to improve the accuracy of killer whale detection algorithms, support conservation efforts, and advance our understanding of killer whale acoustic communication across different populations.…”
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Atrial fibrillation with thrombotic complications. Justification of the diagnosis and treatment regimen according to evidence-based medicine (clinical case) by L.O. Martymianova, E.P. Kamenska, A.O. Bulyha, K.О. Serdyuk

“…Conclusions. Diagnosis and systematic screening of AF, as well as timely assessment of stroke risk, are of paramount importance for the prognosis of patients, especially in older age groups. …”
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The influence of pH and temperature on benthic chlorophyll-a: Insights from SHAP-XGBoost and random forest models by Sangar Khan, Noël P.D. Juvigny-Khenafou, Tatenda Dalu, Paul J. Milham, Yasir Hamid, Kamel Mohamed Eltohamy, Habib Ullah, Bahman Jabbarian Amiri, Hao Chen, Naicheng Wu

“…We concluded that the SHAP XGBoost model could be used to identify the key determinants of chl–a from chemical and physical variables in the lotic system.…”
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Study on Dynamic Response and Progressive Collapse Resistance of Space Steel Frame Under Impact Load by Junling Jiang, Zhishuang Zhang, Changren Ke

“…This study develops a three-story, multi-scale spatial steel frame finite element model using ABAQUS 2023 software, and the contact algorithm and material parameters were validated through published drop-weight impact beam tests. …”
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TOPICAL ISSUES OF DIAGNOSIS AND TREATMENT OF INFERTILITY IN WOMEN WITH INTERNAL GENITAL ENDOMETRIOSIS by A. M. Medzhidova, A. E. Esedova

“…Despite the existing methods of diagnosis and treatment of infertility associated with endometriosis, today there is no single algorithm for conducting such a category of patients. …”
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