Glioma Grade Classification: Hypertuned CNN With Saliency-Based Insight From MRI by Khondakar A. Shahriar, Enamul H. Bhuiyan, Md. Forhad Hossain, Rakibur Rahman, Muhammad E. H. Chowdhury

“…Glioma classification is critical for early diagnosis and treatment planning, yet manual MRI-based diagnosis is time-consuming and prone to errors. This study proposed a CNN-based approach optimized with KerasTuner for glioma classification, focusing on achieving high accuracy using a lightweight architecture. …”
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Robotic-Arm Assisted Technology's Impact on Knee Arthroplasty and Associated Healthcare Costs by David J. Kolessar, Daniel S. Hayes, Jennifer L. Harding, Ravi T. Rudraraju, Jove H. Graham

“…Overall, robotic arm–assisted knee arthroplasty cost more than manual techniques at our institution. This analysis will help optimize costs in the future.…”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…Extensive testing enabled us to establish ANN's applicability limits and to quantify the systematic and statistical errors associated with using such networks for EB analysis. …”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…This study used a didactical design research (DDR) framework consisting of three stages: prospective analysis, metapedadidactic analysis, and retrospective analysis. …”
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RESEARCH OF TIME STANDARD DEFINITION METHODS OF AIRCRAFT FASTENERS REPLACEMENT by A. S. Solov’ev

“…This leads to serious errors in obtaining time standards for a large number of fasteners. …”
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Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk by Md Nurul Raihen, Sultana Akter

“…Early identification and classification of risk variables can successfully prevent pregnancy-related issues by reducing the number of errors. Maternal risk analysis can improve prenatal care, improve mother and baby health, and optimize healthcare resources by identifying misclassified observations using machine learning algorithms such as LDA, QDA, KNN, Decision Tree, Random Forest, Bagging, and Support Vector Machine, all of which have a significant impact on maternity health risk assessment. …”
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Counter-verification in performance-based financing: key insights from the Côte d’Ivoire experience by Joël Arthur Kiendrébéogo, Kouadjo San Boris Bediakon, Jean-Pierre Tsafack, Marin Passerat De Silans, Robert Yao Kouakou, Clovis Kouassi Konan, Sosthène Dougrou, Xavier Lannuzel, Serge Mayaka Manitu

“…Results Our analysis revealed mixed results when comparing the verified and counter-verified data. …”
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A mixed‐methods needs assessment to identify pharmacology education objectives for emergency medicine residents by Ashley C. Rider, Brian T. Dang, Holly A. Caretta‐Weyer, Kimberly A. Schertzer, Michael A. Gisondi

“…Knowledge gaps were medication cost (63%), pregnancy risk information (60%), antibiotic stewardship (53%), interactions (47%), and side effects (47%). Qualitative analysis revealed the need to optimize computer order entry, understand the scope of critical medications, use references, and consult pharmacists. …”
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The AI-Driven Transformation in New Materials Manufacturing and the Development of Intelligent Sports by Fang Wang, Shunnan Jiang, Jun Li

“…Additionally, diverse sport-related data require physical devices for collection, analysis, and storage, which can be crucial in athlete selection, performance assessment, strategy planning, and training optimization. …”
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Land Titling: A Catalyst for Enhancing China Rural Laborers’ Mobility Intentions? by Shanshan Mou, Zhongkun Zhu

“…Heterogeneity analysis further identifies stronger effects in villages dominated by agricultural employment, and among middle-aged laborers. …”
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АNALYSIS OF CLINICAL AND EXPERIMENTAL FORECASTING OF INFLUENCE OF ERGONOMICS OF DENTISTS WORK ON THE RESULT OF ENDONTIC TREATMENT by R.I. Ratushniy, N. Goderdzi, M.Yu. Goncharuk-Khomyn, S.B. Kostenko, I.V. Penzelyk, A.S. Chobeі

“…According to the results of modeling and theoretical justification of the implementation of the necessary ergonomic changes for each of the dentists of the study, the sample formulated a set of individual recommendations, the implementation of which in the workflow helped increase the effectiveness of endodontic interventions and reduce the number of errors. Conclusions. Modeling the main patterns of changes in the working position of dentists during root canal treatment and analysis of such in the structure of the digital environment according to the data, promotes targeted identification of problematic elements of the workflow in terms of compliance with ergonomic criteria and specifics of their changes, the possible fact of using optically magnifying equipment, work with rotary and manual types of endodontic instruments. …”
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Business metrics in the age of digitalization: new challenges and opportunities by I. N Belousov, U. A. Borovy, K. G. Gladkov

“…A business management system based on calculated business metrics is proposed, allowing for monitoring, analysis, and control of the entire business. The system helps in promptly identifying bottlenecks and optimizing business processes. …”
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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…Results: The findings demonstrate that the XGBoost and RF models outperformed the other algorithms, displaying the highest R-squared values of 79% and 77% and the lowest prediction errors. The feature importance analysis underscores the pivotal role of variables such as smoking habits, body mass index (BMI), and blood pressure levels in the domain of insurance claim prediction. …”
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Strategies to Improve the Quality of Public Services with Artificial Intelligence (AI) in Indonesia by Mustainah M, Dandan Haryono, Nuraisyah Nuraisyah

“…The results of the second study which is the Main Findings of the SWOT Analysis) that Effective Strategies in Improving the Quality of Public Services in Indonesia based on the results of analysis, weighting, assessment and summation that the Defensive Strategy is considered appropriate, namely by optimizing the Efficiency and Innovation of Services with the Use of More Personal and Responsive (AI), expanding accessibility and improving digital skills through officer training, and maintaining transparency and security.  …”
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The Laryngovibrogram as a normalized spatiotemporal representation of vocal fold dynamics by Mona Kirstin Fehling, Maria Schuster, Maximilian Linxweiler, Jörg Lohscheller

“…By integrating information about the VF tissue, the LVG introduced here represents a paradigm shift in the analysis of laryngeal dynamics from focusing solely on the glottal area to a holistic analysis of the entire VF kinematics, which might improve pathology detection accuracy, reduce subjective assessment errors, and optimize treatment follow-ups, ultimately enhancing both clinical diagnostics and therapeutic outcomes.…”
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Soil Moisture Content Prediction Using Gradient Boosting Regressor (GBR) Model: Soil-Specific Modeling with Five Depths by Tarek Alahmad, Miklós Neményi, Anikó Nyéki

“…The GBR model demonstrated high performance in both soil textures, achieving R² values of 0.98 and 0.94 for silt loam and loam soils, respectively, with low prediction errors (RMSE 0.85 and 0.97, respectively). Feature importance analysis showed that precipitation and humidity were the most influential features in loam soil, while solar radiation had the highest impact on prediction in silt loam soil. …”
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Digital Solution for Effective Management of Remote Work: The Case of Kazakhstan Railway by Adilova Nazdana, Sultanbek Madiyar, Sarzhanov Dauren, Sładkowski Aleksander, Zhanseitov Azamat

“…Other significant recommendations of this study will be to reduce manual errors through the application, optimize resource allocation, and help improve overall organizational productivity· However, the research also points out that some challenges—such as those with user adoption and technical integration—remain open for further study. …”
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Space Target Recognition of Radar Cross-Section Sequence Based on Transformer by Meng Xie, Weiwei Wu, Chenchen Fu, Sujunjie Sun

“…As the strategic importance of space continues to grow, space target recognition technology is critical for advancing space surveillance systems, optimizing the use of space resources, and ensuring space security. …”
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Hybrid Symbolic Regression and Machine Learning Approaches for Modeling Gas Lift Well Performance by Samuel Nashed, Rouzbeh Moghanloo

“…Among all approaches, using the L-BFGS optimizer on the neural network gave the best predictions, with an R² of 0.97, low errors, and better accuracy than other ML methods. …”
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Method for estimating objective function landscape convexity during extremum search by Alexande V. Smirnov

“…The estimation of this index is carried out for pairs of test points taking into account their distances to the found extremum and OF values in them. Based on the analysis of estimation errors, the method includes the selection of test points by their distances from the found extremum and the selection of pairs of test points by the angle between the directions to them from the found extremum. …”
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