Nexus of regional integration, socioeconomic determinants and sustainable development in belt and road initiative countries. by Atta Ullah, Chen Pinglu, Saif Ullah, Shujahat Haider Hashmi

“…Driscoll-Kraay standard-errors regression confirmed and validated the two-step System-GMM results. …”
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A Hybrid AI Framework for Enhanced Stock Movement Prediction: Integrating ARIMA, RNN, and LightGBM Models by Adel Alarbi, Wagdi Khalifa, Ahmad Alzubi

“…For the Netflix dataset, the AR-ERLM achieved an RMSE of 2.35, MSE of 5.54, and MAE of 1.58, surpassing other models in minimizing prediction errors. Moreover, the model demonstrates robust adaptability to real-time data and consistently superior performance across multiple metrics. …”
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Deep learning-based semantic segmentation with novel navigation line extraction for autonomous agricultural robots by Chijioke Leonard Nkwocha, Ning Wang

“…While ENet showed more consistent performance across various lighting conditions, the novel algorithm demonstrated remarkable accuracy, reducing angle errors to an average of 1.1°, 1.6°, and 1.6° for ENet, Deeplabv3+, and PSPNet, respectively, compared to 4.6°, 4.9°, and 6.7° using the baseline method. …”
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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

“…Findings – The results of three algorithms achieved over 90% accuracy, with less than 10% of the errors being part false negatives. We also introduce the Churn Probability Index, a novel metric that aggregates the outputs of multiple predictive models to provide an assessment of high-risk churn. …”
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The host phylogeny determines viral infectivity and replication across Staphylococcus host species. by Sarah K Walsh, Ryan M Imrie, Marta Matuszewska, Gavin K Paterson, Lucy A Weinert, Jarrod D Hadfield, Angus Buckling, Ben Longdon

“…Furthermore, we demonstrate that the phylogenetic relationships between bacterial hosts can generally be used to predict the susceptibility of bacterial strains to phage infection when the susceptibility of closely related hosts is known, although this approach produced large prediction errors in multiple strains where phylogeny was uninformative. …”
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The Lancet Weight Determines Wheal Diameter in Response to Skin Prick Testing with Histamine. by Hjalte H Andersen, Anna Charlotte Lundgaard, Anne S Petersen, Lise E Hauberg, Neha Sharma, Sofie D Hansen, Jesper Elberling, Lars Arendt-Nielsen

“…In clinical routine, technicalities, human errors or patient-related biases, occasionally results in suboptimal diagnosis of sensitization.…”
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Healthcare Staff Wellbeing, Burnout, and Patient Safety: A Systematic Review. by Louise H Hall, Judith Johnson, Ian Watt, Anastasia Tsipa, Daryl B O'Connor

“…<h4>Conclusions</h4>Poor wellbeing and moderate to high levels of burnout are associated, in the majority of studies reviewed, with poor patient safety outcomes such as medical errors, however the lack of prospective studies reduces the ability to determine causality. …”
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Understanding the determinants of domestic food availability: Evidence from a Caribbean Small Island Developing State by David Forgenie, Meera Mahase-Forgenie, Sunshine De Caires, Wendy Ann P. Isaac, Karambir Singh Dhayal

“…Using an Autoregressive Distributed Lag (ARDL) model with an Error-correction Mechanism (ECM) and annual data spanning 1983 to2022, this study investigates both short- and long-run dynamics. …”
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Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures by Yuvaraja Boddu, A. Manimaran

“…This method improves the focus on relevant information and achieves a 10% average reduction in mean absolute error (MAE) compared to models devoid of such mechanisms. …”
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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

“…Penelitian ini menggunakan pendekatan kuantitatif dengan metode VECM (Vector Error Correction Model). Data yang digunakan dalam penelitian ini adalah data sekunder yang diambil dari beberapa situs resmi Indonesia yaitu Badan Pusat Statistik (BPS), Asosiasi Sistem Pembayaran Indonesia (ASPI), dan Bank Indonesia, berupa data runtut waktu (time serries) tahun 2020-2023. …”
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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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Facility-Based Delivery during the Ebola Virus Disease Epidemic in Rural Liberia: Analysis from a Cross-Sectional, Population-Based Household Survey. by John Ly, Vidiya Sathananthan, Thomas Griffiths, Zahir Kanjee, Avi Kenny, Nicholas Gordon, Gaurab Basu, Dale Battistoli, Lorenzo Dorr, Breeanna Lorenzen, Dana R Thomson, Ami Waters, Uriah G Moore, Ruth Roberts, Wilmot L Smith, Mark J Siedner, John D Kraemer

“…Limitations include the possibility of FBD secular trends coincident with the EVD period, recall errors, and social desirability bias.<h4>Conclusions</h4>We detected a 30% decreased odds of FBD after the start of EVD in a rural Liberian county with relatively few cases. …”
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Case report: Hepatocellular carcinoma in a patient with Pyridoxamine 5-phosphate oxidase (PNPO) deficiency undergoing pyridoxal 5-phosphate (PLP) treatment by Jesse Zhen Cheng Lee, Chit Kwong Chow, Cheuk-Wing Fung, Stephen Tak Yau Lui, Suet-Na Sheila Wong

“…Pyridoxamine 5-phosphate oxidase (PNPO) deficiency is an autosomal recessive inborn error of metabolism that typically manifests as seizures resistant to conventional anticonvulsants, often presenting in the neonatal period to early infancy. …”
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IDENTIFYING MOTIVATORS OF ECOTOURISM DESTINATION COMPETITIVENESS: THE EXAMINATION ON SOFT INFRASTRUCTURE CONSTRUCTS AND MODERATING IMPACT OF MOBILE TECHNOLOGY by Wei Chiang Chan, May Chiun Lo, Wan Hashim Wan Ibrahim, Abang Azlan Mohamad, Jun Zhou Thong

“…The data collected has undergone preliminary analyses using SPSS 26.0 while the proposed study model was evaluated using WarpPLS 8.0, which allowed for path modelling and bootstrapping to obtain the estimates of standard error and p-values. The results indicated a significant direct relationship between health services and destination competitiveness. …”
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Modeling Multimedia Ad Exposure: The Role of Low-Level Audiovisual Features by Urban Burnik, Andrej Kosir, Gregor Strle

“…Bootstrap analysis confirmed model robustness, showing lower error rates and stable coefficients for polynomial models. …”
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Optimizing Gated Recurrent Unit (GRU) for Gold Price Prediction: Hyperparameter Tuning and Model Evaluation on Historical XAU/USD Data by Abdul Faqih, Muhammad Jauhar Vikri, Ita Aristia Sa’ida

“…These results highlight the potential of the GRU model in accurately forecasting gold prices, with implications for financial decision-making . However, the prediction error suggests that further improvements could be made by incorporating external factors or exploring advanced model architectures.…”
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Multi-modality deep learning for pulse prediction in homogeneous nonlinear systems via parametric conversion by Hao Zhang, Linshan Sun, Jack Hirschman, Sergio Carbajo

“…Our results demonstrate a 73% reduction in prediction error and an 83% improvement in computational efficiency compared to conventional neural networks. …”
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Integrated reporting and firm value: moderating role of CEO integrity in the context of GCC countries by Mohammed Saleem Alatawi, Zaidi Mat Daud, Jalila Johari

“…Using secondary data from the firms’ websites, the research applies the system GMM model and dynamic fixed-effect robust standard error model to analyze the data. The findings reveal that IR positively influences firm value. …”
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The Emperor’s old clothes: a critical review of circular fashion in gray literature by Talia Hussain, Ksenija Kuzmina, Mikko Koria

“…Existing retail practices and consumer marketing messages are central to circular fashion, while the role of the market in setting prices is ignored. A $460 billion error is revealed, refuting the claim that a circular fashion system provides an opportunity for growth. …”
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