Artificial intelligence driven platform for rapid catalytic performance assessment of nanozymes by Wenjie Xuan, Xiaofo Li, Honglei Gao, Luyao Zhang, Jili Hu, Liping Sun, Hongxing Kan

“…The platform incorporates several key innovations that distinguish it from existing databases: Firstly, standardized Data Curation: AI-ZYMES resolves inconsistencies in catalytic metrics (e.g., Km, Vmax), morphologies, and dispersion systems, enabling reliable cross-study comparisons, something that existing resources like DiZyme and nanozymes.net lack.Secondly, dual AI Framework: A gradient-boosting regressor predicts kinetic constants (Km, Vmax, Kcat) with an R2 up to 0.85, while an AdaBoost classifier identifies enzyme-mimicking activities based solely on nanozyme names, surpassing traditional random forest models in predictive accuracy.Lastly, ChatGPT-based Synthesis Assistant: The platform includes an AI-driven assistant for literature extraction (67.55% accuracy) and synthesis pathway generation via semantic analysis (90% accuracy). …”
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Completing the “Nurses back to healthcare” training and returning to professional work: a qualitative study of nurses’ experiences by Kadri Kööp, Mare Tupits

“…Methods Semi-structured interviews were conducted to collect data, and an inductive content analysis was performed to analyse data. …”
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Prevalence and organization problems of medical care to patients with precanceral oral cavity mucosa diseases (on the Tomsk Region example) by D. E. Mikhalev, O. D. Baydik, M. R. Mukhamedov, P. G. Sysolyatin

“…Malignant neoplasms of the oral cavity at different stages was established in 8.3 % of cases. A retrospective errors analysis revealed that in 100 % of leukoplakia, lichen planus, candidiasis and stomatitis cases the disease form was not indicated. …”
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AUTOMATIC PALM COUNTING DENGAN METODE TEMPLATE MATCHING (STUDI KASUS DI UNIVERSITAS SAMUDRA) by Agusman, Iswahyudi, Iwan saputra

“…However, the process of identifying and mapping oil palm plants has been done manually, which is time-consuming, inefficient, and prone to errors. This problem underscores the need for faster and more accurate methods to support spatial data-based planning. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The BP neural network algorithm adjusts weights to minimize prediction errors, while multi-scale feature learning captures the diversity and regularity of user behavior by extracting data from various time dimensions, such as daily, weekly, and monthly intervals. …”
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Applicability of the “5S Management Method” for Quality Improvement at Health Care Facilities in India by Aesh Katiyar, Jay Patwa, Nikhil Chavda

“…Post-implementation, turnaround time decreased for case registration, pharmacy, and emergency room services while laboratory efficiency improved, accompanied by reductions in medical errors and hospital-acquired infections. Qualitative analysis identified key themes such as enhanced work environments and improved quality of services. …”
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The use of modern e-health services including telemedicine and telepharmacy for remote patient care in Saudi Arabia by Farah K. Alhomoud

“…The calculated sample size was 218 participants. Data was collected through an online pretested English-language questionnaire. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…Tumor location and laterality were identified with greater accuracy in 112 out of 135 reports (83%); however, 23 reports (17%) contained errors mainly due to empty values or incorrect data. …”
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Myofibrillogenesis Regulator-1 in Smooth Muscle Cells Modulates Inflammation Signaling Pathways via Regulating ROCK1 Ubiquitination and Degradation to Impact Aortic Dissection [Cor... by Yin H, Li X, Lu D, Zhao X, Yang Z, Wang Z, Xu F, Chen Y, Li C

“…The authors have advised there are clerical errors on pages 1720, 1721 and 1729 of the published paper. …”
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Application of artificial neural networks in the prediction of sugarcane juice Pol by Anderson P. Coelho, João V. T. Bettiol, Alexandre B. Dalri, João A. Fischer Filho, Rogério T. de Faria, Luiz F. Palaretti

“…Multilayer Perceptron ANNs were used for calibration and validation of the data. Before calibration, the variables were normalized. …”
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Mitigating Risk of Failure by Expanding Family Entrepreneurship and Learning from International Franchising Experiences of Johnny Rockets: A Case Study in Pakistan by Jawaid Ahmed Qureshi, Muhammad Shahid Qureshi, Muhammad Asif Qureshi

“…The data analytic techniques comprise thematic analysis and constant comparison. …”
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Blodgett's (1919) “Ship camouflage” 105 years on: A misperception of dazzle perception revealed and redressed by Timothy Simon Meese, Samantha Louise Strong

“…The first experiment to provide quantitative results on this (Blodgett, 1919; MIT Libraries , MA) used scale models and mechanical simulation, and reported enormous perceptual errors for their perceived direction of travel (up to ∼60°), possibly due to a “twist” effect from forced perspective. …”
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Deep learning based multi attribute evaluation for holistic student assessment in physical education by Huige Liang, Huifeng Liang

“…This development proposal utilizes all available data, including physical activities, cognitive tasks, emotional responses, and social interactions, for a comprehensive assessment of student performance. …”
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Pengaruh Pelatihan Komunikasi ISOBAR (Identify, Situation, Observations, Background, Assesment, Recommendation) Terhadap Pengetahuan dan Kualitas Pelaksanaan Timbang terima di RS... by Candra Deni Mairosa, Rizanda Machmud, Jafril

“…Analysis of the data used is the Mann-Whitney statistical test to see differences in the intervention and control groups. …”
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Methodology for determining passengers correspondence by public transport from electronic tickets validation operations by A. I. Fadeev, S. Alhusseini

“…Nowadays, technologies based on the collection, integration and analysis of big data (Urban computing, Big data, Internet of things) are used to create effective solutions in many aspects of our lives (including for urban transit).Materials and methods. …”
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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

“…Furthermore, we evaluated different performance indicators, discussed possible reasons for errors in regional ETa prediction, and conducted sensitivity analysis of the model characteristics. …”
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Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning by Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang

“…Validation experiments on Al5(Fe10Cr35Ni55)95 and Al2Ti1(Fe10Cr35Ni55)97 alloys yielded UTS prediction errors of 7.80% and 2.56%, with corresponding FE errors of 0.35% and 1.09%. …”
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A Robust Framework for Probability Distribution Generation: Analyzing Structural Properties and Applications in Engineering and Medicine by Aadil Ahmad Mir, Shamshad Ur Rasool, S. P. Ahmad, A. A. Bhat, Taghreed M. Jawa, Neveen Sayed-Ahmed, Ahlam H. Tolba

“…Extensive simulation studies confirm these estimation techniques’ robustness, showing that biases, mean squared errors, and root mean squared errors consistently decrease as sample sizes increase. …”
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Identification of the elastic characteristics of a composite material based on the results of tests for the stability of panels made from it by R.A. Kayumov, B.F. Tazyukov, I.Z. Muhamedova, F.R. Shakirzyanov

“…By introducing the discrepancy of possible errors in experimental data measurement, an extended formulation of the problem has been obtained. …”
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‘It's a job to be done’. Managing polypharmacy at home: A qualitative interview study exploring the experiences of older people living with frailty by Giorgia Previdoli, David P. Alldred, Jonathan Silcock, Savi Tyndale‐Biscoe, Daniel Okeowo, V‐Lin Cheong, Beth Fylan

“…An advisory group of older patients and family members advised the study and was involved in the first stages of data analysis. This influenced how data were coded and themes shaped.…”
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