Improved sap flow prediction: A comparative deep learning study based on LSTM, BiLSTM, LRCN, and GRU with stem diameter data by Amora Amir, Marya Butt

“…Metrics like Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R² were used to evaluate performance, and early stopping was applied to prevent overfitting during training. …”
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APAKAH FINTECH PAYMENT MEMPENGARUHI JUB? BUKTI DARI STUDI DI INDONESIA PASCA TERJADINYA COVID-19 by Siti Fatimah Azzahro, Handy Nugraha

“…ABSTRACT The Covid-19 pandemic has caused a sharp increase in digitalization trends, which has implications for fintech users who are also increasing. …”
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Machine Learning-Based Prediction of Ecosystem-Scale CO₂ Flux Measurements by Jeffrey Uyekawa, John Leland, Darby Bergl, Yujie Liu, Andrew D. Richardson, Benjamin Lucas

“…We found that Extreme Gradient Boosting (XGBoost) consistently produced the most accurate predictions (Root Mean Squared Error of 1.81 μmolm⁻²s⁻¹, R² of 0.86). …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Blockchain technology is being used in ways that have implications for various financial institutions and affect all of their operations (Mantelaers et al, 2019). …”
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A systematic review of neural network applications for groundwater level prediction by Samuel K. Afful, Cyril D. Boateng, Emmanuel Ahene, Jeffrey N. A. Aryee, David D. Wemegah, Solomon S. R. Gidigasu, Akyana Britwum, Marian A. Osei, Jesse Gilbert, Haoulata Touré, Vera Mensah

“…The paper addressed both technical nuances and broader environmental implications.…”
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Enhancing water management in Northern European lowland chalk streams: A parsimonious, high-resolution hydrological model using groundwater level as a proxy for baseflow by Thomas Homan, Nicholas J.K. Howden, Ruth Barden, Barbara Kasprzyk-Hordern, Jan Hofman

“…Due to its simplicity and few parameters to calibrate, this modelling approach has broad applicability in lowland permeable catchments. Management implications include expeditious investigations of high-resolution freshwater quality responses to pollution and informing abstraction limits to sustain robust ecological conditions.…”
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Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age by Simon Ball, Felicity Evison, Laurie Lucas, Tanya Pankhurst, Richard Baker, Suzy Gallier, Jamie J Coleman, Ian Young, Anwar Shah, Steve Ryan, Helen Gyves, David Rosser, Chris Ragdale, Louise Denner, Laura Rathbone, Deborah McKee, Jolene Atia, Mark Garrick

“…User feedback was sought pre and post go-live (during the COVID-19 pandemic) and financial implications were calculated by the hospital finance teams.Results Error rates equating to 219 000/year were avoided by conversion to electronic charts. …”
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Estimation of Atmospheric Boundary Layer Turbulence Parameters over the South China Sea Based on Multi-Source Data by Ying Liu, Tao Luo, Kaixuan Yang, Hanjiu Zhang, Liming Zhu, Shiyong Shao, Shengcheng Cui, Xuebing Li, Ningquan Weng

“…Utilizing Monin–Obukhov Similarity Theory (MOST) as the theoretical foundation, the model’s performance is evaluated by comparing its outputs with the observed diurnal cycle of near-surface optical turbulence. Error analysis indicates a root mean square error (RMSE) of less than 1 and a correlation coefficient exceeding 0.6, validating the model’s predictive capability. …”
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

“…The LAI retrieval accuracy had a coefficient of determination (R2) of 0.52, root mean squared error (RMSE) of 0.88 m2.m-2 and relative RMSE of 12.23 %. …”
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Retrieving crop phenology at field-scale in the Nile Delta based on Sen2Like and PlanetScope data by Katarzyna Cyran, Belen Franch, Eatidal Amin, Santiago Belda, Francesco Fava, James Wheeler, Italo Moletto-Lobos, Ahmed El Baroudy, Inbal Becker-Reshef, Zoltan Szantoi

“…This study demonstrates the value of Sen2Like in capturing field-scale phenology with implications for improving agricultural practices and farm sustainability.…”
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Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model by Abhishek Kumar Dubey, Prakash Kumar Jha, Kumari Shubha, RN Singh, Manisha Tamta, Sonam Sah, Santosh Kumar, Sanjeev Kumar, Rakesh Kumar, Kirti Saurabh, Rajeev Kumar, Anup Das, P. V. V. Prasad, Arbind Kumar Choudhary

“…Model performances was evaluated using R2, d-index, mean bias error, and normalized Root Mean Square Error (n-RMSE) metrics. …”
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Multilingual competency and academic performance: a machine learning-based analysis of the 2022/2023 Somaliland national primary exam data by Jibril Abdikadir Ali, Mustafe Khadar Abdi, Tawakal Abdi Ali, Abdisalan Hassan Muse, Mukhtar Abdi Omar, Mukhtaar Axmed Cumar

“…Models were evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Squared Percentage Error (RMSPE), Root Mean Squared Logarithmic Error (RMSLE), and Relative Root Squared Error (RRSE) to assess predictive accuracy. …”
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Validation of the Persian version of the summary of diabetes self-care activities scale (SDSCA) in pregnant women with gestational diabetes mellitus using a COSMIN methodology by Mahsa Maghalian, Mohammad Asghari Jafarabadi, Fatemeh Abbasalizadeh, Sakineh Mohammad-Alizadeh-Charandabi, Solmaz Ghanbari-Homaie, Mojgan Mirghafourvand

“…Abstract Background Gestational diabetes mellitus (GDM) is a condition with significant prenatal and postnatal implications. This study aimed to validate the Summary of Diabetes Self-Care Activities (SDSCA) measure in Iranian women with GDM, focusing on its psychometric properties. …”
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Immune biomarker differences and changes comparing HCV mono-infected, HIV/HCV co-infected, and HCV spontaneously cleared patients. by Lauren E Kushner, Aaron M Wendelboe, Laura C Lazzeroni, Aarthi Chary, Mark A Winters, Anu Osinusi, Shyam Kottilil, Michael A Polis, Mark Holodniy

“…<h4>Background</h4>Immune biomarkers are implicated in HCV treatment response, fibrosis, and accelerated pathogenesis of comorbidities, though only D-dimer and C-reactive protein have been consistently studied. …”
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The Relationship between Macroeconomic Variables and South African Commercial Bank Performance by Fabian Moodley, Babatunde Lawrence, Surendran Pillay

“…It is further evident that the error correction term exhibited negative and significant coefficients, which indicates a 76.08% imbalance between bank performance and independent variables. …”
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Hydrodynamic simulation experiment of tidal pump in strait waters by W.S. Pranowo, K. Malik, D. Adrianto, A. Kurniawan

“…This study revealed that the K₁ amplitude experienced the most notable increase during a supermoon event, indicating a likely strong correlation.CONCLUSION: The findings demonstrate the significant role of tidal pumping in shaping the hydrodynamics of the Bangka Strait, with implications for nutrient mixing and material transport. …”
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Estimating the cost of illness of acute Japanese encephalitis and sequelae care in Vietnam and Laos: A cross-sectional study. by An Le Thanh Nguyen, Rose Slavkovsky, Hai Thanh Phan, Huong Thi Thu Nguyen, Souphaphone Vannachone, Dang Hai Le, Audrey Dubot-Pérès, Manivanh Vongsouvath, Son Thai Dinh, Anthony A Marfin, G William Letson, Huong Minh Vu, Dung Chi Tham, Mayfong Mayxay, Elizabeth A Ashley, Thai Quang Pham, Clint Pecenka

“…<h4>Conclusions</h4>JE patients and families in Vietnam and Laos suffer extreme medical, economic, and social hardship. This has policy implications for improving JE prevention in these two JE-endemic countries.…”
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The performance of 76 kHz positional acoustic telemetry is challenged by acoustic conditions in the tailrace of a hydroelectric dam by C. Ryan Hill, Antóin M. O’Sullivan, R. Allen Curry, Tommi Linnansaari, Philip M. Harrison

“…Such positional data has important implications for understanding fish behavior in hydropower tailraces, where movement and fishway passage may be influenced by complex hydraulic conditions. …”
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Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…Results demonstrate that the CNN-LSTM-BMO achieves superior performance with the lowest Root Mean Square Error (RMSE) of 0.5523 and highest R² value of 0.9435, showing statistically significant improvements over other optimization methods as confirmed by paired t-tests (P < 0.05). …”
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A mathematical phase field model predicts superparamagnetic nanoparticle accelerated fusion of HeLa spheroids for field guided biofabrication by Cristian F. Rodríguez, Valentina Quezada, Paula Guzmán-Sastoque, Juan Camilo Orozco, Luis H. Reyes, Johann F. Osma, Carolina Muñoz-Camargo, Juan C. Cruz

“…Increased system complexity introduced slightly higher error variability, but the model maintained robust predictive capabilities. …”
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