Predicting Ocean Current Temperature Off the East Coast of America with XGBoost and Random Forest Algorithms Using Rstudio by Lulut Alfaris, Anas Noor Firdaus, Ukta Indra Nyuswantoro, Ruben Cornelius Siagian, Aldi Cahya Muhammad, Rohana Hassan, Rodulfo T. Aunzo, Jr., Reza Ariefka

“…The performance evaluation model is carried out using predetermined machine learning assessment criteria, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and R-squared. …”
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Digital twin manifesto for the pathology laboratory by Albino Eccher, Fabio Pagni, Massimo Dominici, Luca Reggiani Bonetti, Stefano Marletta, Enrico Munari, Giorgio Cazzaniga, Anil V Parwani, Vincenzo L’Imperio, Angelo Paolo Dei Tos

“…The framework highlights measurable gains such as up to 90% reduction in labeling errors, 20–30% improvements in slide quality, and 30–50% reductions in diagnostic turnaround time. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…Finally, this study provides policy implications to enhance technological innovation, optimize industrial structures, and strengthen water ecosystem protection, offering theoretical and policy insights for sustainable development in the CCUA and similar regions.…”
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Investigating Factors Influencing Faculty Members’ Digital Competence for Capacity Building on Open and Distance Education in HEIs by Özlem Ozan, Yasin Özarslan

“…The study also found that those with less than three years of digital experience tended to have lower scores. Furthermore, an error management culture, which focuses on learning and improvement, might facilitate a discussion of errors emerging by adapting new technologies instead of avoiding mistakes. …”
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A Panpsychist Interpretation of Evolutionary Theory by Ferhat Onur

“… If there is a questionable element in the theory of evolution, it is likely the randomness of mutations, which is seen as the primary source of evolutionary change. The idea that errors in DNA sequences are the source of species change does not seem acceptable to many scientists and philosophers. …”
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Prediction of barite scale formation and inhibition in hydrocarbon reservoirs using AI modeling: Focus on different optimization algorithms by Ouafa Belkacem, Ahmed Rezrazi, Kamel Aizi, Lokmane Abdelouahed, Maamar Laidi, Abdelhafid Touil, Leila Cherifi, Salah Hanini

“…The findings underscore the practical implications of AI techniques in optimizing oilfield operations, enhancing efficiency, and reducing costs, thereby offering a significant advancement in the field.…”
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Transitioning from Analog to Digitalization of Essential Vaccination for Travellers through National Immunization Management System (NIMS) at the Points of Entry in Pakistan by Dr Nadia Noreen

“…Discussion: The introduction of a digital vaccination system at Points of Entry (POEs) in Pakistan represents a significant leap in healthcare infrastructure, with implications for public health and international travel. …”
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Levenberg-Marquardt recurrent neural network for heat transfer in ternary hybrid nanofluid flow with nonlinear heat source-sink by Ibrahim Mahariq, Kashif Ullah, Mehreen Fiza, Aasim Ullah Jan, Hakeem Ullah, Saeed Islam, Seham M. Al-Mekhlafi

“…Validation is conducted using error histograms (EH) and regression (RG) tests, ensuring high accuracy ranging from E-2 to E-7. …”
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Entrepreneurship among People with Disabilities in Unstable Macroenvironment Conditions by Andrzej Koza, Adriana Politaj

“…This will allow to avoid typical errors resulting from a relatively short time range of observations. …”
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Lake Water Storage and Long-Term Variation of Nganga Rinco on the Tibetan Plateau Revealed by ICESat-2 and Satellite Imagery by Yunmei Li, Qianqian Chen, Shiqiang Zhang, Yuanzheng Cui, Chang Huang

“…When compared to <italic>in situ</italic> bathymetry, the derived bathymetry showed an average error of 3.64 m, with errors concentrated in deeper regions. …”
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Digital and artificial intelligence-assisted cephalometric training effectively enhanced students’ landmarking accuracy in preclinical orthodontic education by Jiayu Lin, Zhihao Liao, Jingtao Dai, Manyi Wang, Ruixue Yu, Hong Yang, Chufeng Liu

“…Results Digital cephalometric training, through real-time feedback and visual error-correction mechanisms, enabled students to quickly identify and correct errors in landmarking, significantly improving their accuracy. …”
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Micro-electrical Discharge Machining of Micro-holes Based on Integrated Orthogonal Experiments and CNN Methods by Yuandong MO, Yazhi WANG, Shuqi HUANG, Jiajun ZHONG

“…All the predicted values have relative errors below 12%, affirming a resilient fit of the PyTorch-based CNN and demonstrating exceptional predictive performance. …”
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Unlocking students’ potential beyond traditional exams: the influence of collaborative testing on nursing students’ retention and soft skills by Amal Diab Ghanem Atalla, Mohamed Hussein Ramadan Atta, Amina Hemida Salem Ghattas

“…If not developed, they may negatively impact patient outcomes and safety, contributing to medical errors, higher mortality rates, and job dissatisfaction. …”
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Mungongi: Metric Ambiguity and Analytical Uncertainty in Zambian Luchazi Percussion by Jason Winikoff

“…I ruminate on the positives of uncertainty, embrace ambiguity, contemplate the possible colonial undertones of this venture, champion embodied knowledge, advocate for attention to performers’ errors, and question our tools of analysis.…”
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A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder by Xingfa Zi, Feiyi Liu, Mingyang Liu, Yang Wang

“…Additionally, we explore the TiDE model’s sensitivity to input environmental variables, algorithmic versatility, and the implications of forecasting errors on PV grid integration. …”
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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation by Eve Laroche-Pinel, Vincenzo Cianciola, Khushwinder Singh, Gaetano A. Vivaldi, Luca Brillante

“…The findings from this study have important implications for precision viticulture. They provide an assessment of Landsat 8 imagery, coupled with machine learning, as a means for growers to monitor and forecast vine water status at the field scale. …”
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Operational cost savings: Blockchain-driven back-office automation and syndicated loan growth in U.S. banks by Maksym Ivasenko, Serhiy Frolov, Mykhaylo Heyenko, Nataliia Kolodnenko, Viktoriia Datsenko

“…The findings provide empirical evidence that enterprise DLT platforms deliver significant cost reductions for syndicated loan transactions, with implications for bank, fintech, and regulatory strategies.…”
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In-Depth Analysis of Ka-Band Integrated Commercial Beamformer Non-Idealities in Phased Array Calibration and Pattern Prediction Methods for 5G Scenarios by Jorge Calatayud Maeso, Xiaoliang Sun, Alfonso Tomas Muriel-Barrado, Fernando Rodriguez Varela, Pablo Sanchez-Olivares, Jose-Manuel Fernandez-Gonzalez, Manuel Sierra Castaner

“…This paper comprehensively examines the non-idealities inherent in commercially available beamformers and explores their implications in the calibration procedures for phased array antennas. …”
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Enhancing thermal transport in chemically reacting nanoparticles using the energy source and Cattaneo-Christov heat flux model by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah Berrouk, Saeed Islam, Asim Aamir

“…The important and intriguing feature of this remarkable work is that, for all parameters examined, the heat transfer rate rises with minimal measurement of errors, consistent with the core objective of applying nanofluids to nanotechnology for their prospective implications.…”
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Factors influencing burnout, stress levels, and coping strategies among nursing staff in intensive care units by Beata Wudarczyk, Sabina Krupa-Nurcek, Michał Czapla, Michał Czapla, Izabella Uchmanowicz, Izabella Uchmanowicz

“…Addressing burnout requires comprehensive approaches that consider these interrelated factors.Practical implicationsTo reduce burnout among ICU nurses, healthcare institutions should integrate routine stress assessments and provide structured support systems, such as resilience training and peer support programs. …”
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