Vergence fusion sustaining oscillations by John L. Semmlow, Tara Alvarez, Chang Yaramothu, Mitchell Scheiman

“…Data have clinical implications in that dysfunction in feedback control may manifest as additional vergence error which may be reflected in the frequency spectrum.…”
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Ctta: a novel chain-of-thought transfer adversarial attacks framework for large language models by Xinxin Yue, Zhiyong Zhang, Junchang Jing, Weiguo Wang

“…This has significant implications for enhancing the security and robustness of LLMs.…”
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Perspectives on water quality analysis emphasizing indexing, modeling, and application of artificial intelligence for comparison and trend forecasting by Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar

“…Using statistical operations and soft computing techniques have been done by researchers to combat the subjectivity error in indexing. To achieve better results, WQMs are being modified to incorporate the physical processes influencing water quality more robustly. …”
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Multi-objective optimization of gold price forecasting using the pareto alpha-cut technique by Pullooru Bhavana

“…The findings contribute to a deeper understanding of forecasting methodologies and highlight the practical implications for stakeholders in the financial and commodity sectors. • This study introduces a multi-objective optimization framework leveraging the Pareto alpha-cut technique. • Compared with ARDL, ARIMA and Stochastic mode • The validity analysis confirms the accuracy and stability of gold price forecasting.…”
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Determining the optimal threshold of foreign direct investment for sustainable improvement in Ghana’s trade balance by David Aboagye Danquah, Charles Barnor

“…The study employed the autoregressive distributed lag (ARDL) models, error correction models and smooth threshold regression techniques to establish the relationship between FDI and trade balance. …”
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Interrelationships Among Government Participation, Population and Growth of per Capita Income: Inquiry on Top Twenty Income-Holding Countries in the World by Ramesh Chandra Das

“…The empirical results relating to income growth, thus, have sustainability implications.…”
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Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization by Yacine Bouali, Basem Alamri

“…Applying metaheuristic algorithms with the Newton–Raphson-based objective function reduced the root-mean-square error (RMSE) more effectively than traditional methods. …”
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Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. by Wasim Abbas, Sieun Lee, Sangil Kim

“…The correlation coefficients surpassed 0.9, except for the year 2015. The implications of our findings suggest a notable shift in transmission and recovery rates, starting in 2015.…”
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Improved Ellipsoidal Intersection Method for 2D Data Fusion by Muhammed Mert Ulupinar, Gokhan Soysal

“…Monte Carlo simulations under various correlation cases demonstrate that Improved Ellipsoidal Intersection method calculates lower root mean square error compared to existing techniques, particularly in high-correlation cases. …”
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Hydrological parameter sensitivity analysis for water evaluation and planning model calibration in the Borkena River Sub-basin by Elias Fiseha Mekonnen, Gebremariam Adane Getu

“…The model performance was evaluated using metrics such as Nash–Sutcliffe Efficiency (NSE), Root Mean Square Error (RMSE), Percentage of Bias (PBIAS), and Coefficient of Determination (R2). …”
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The effects of dynamic soil moisture-dependent parameters on runoff and crop yield estimation for the APEX model by Quinn Pallardy, Claire Baffaut

“…These results have potential implications for both the accuracy and confidence in APEX outcomes under current scenarios and for APEX outcomes under changing environmental conditions.…”
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Small amounts of misassembly can have disproportionate effects on pangenome-based metagenomic analyses by Stephanie N. Majernik, Larry Beaver, Patrick H. Bradley

“…While large-scale metagenomic assembly efforts have made pangenome estimates more complete, mixed communities can also introduce contamination into assemblies, and it is unknown how robust pangenome-based metagenomic analyses are to these errors. To gain insight into this problem, we re-analyzed a case-control study of the gut microbiome in cirrhosis, focusing on commensal Clostridia previously implicated in this disease. …”
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Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction by Ekaprana Wijaya, Moch. Arief Soeleman, Pulung Nurtantio Andono

“…Performance metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R Square are utilized to evaluate the effectiveness of each method. …”
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A precise method for compensating shape deviation of hot-pressed glass based on neural network algorithm optimization by Shengzhou Huang, Zhaowei Tian, Dongjie Wu, Jiani Pan, Bowen Ren, Yuanzhuo Tang

“…This study aims to enhance the accuracy of glass surface contour error in the hot-pressing manufacturing process using P-SK57 glass as a focus. …”
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Quantifying Truthfulness: A Probabilistic Framework for Atomic Claim-Based Misinformation Detection by Fahim Sufi, Musleh Alsulami

“…The Expected Calibration Error (ECE) of 0.068 further validates the trustworthiness of the score distributions. …”
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Ground data analysis for PM2.5 Prediction using predictive modeling techniques by Elham Nourmohammad, Yousef Rashidi

“…The models were evaluated based on performance metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R² scores. …”
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Cross-linguistic syntactic priming of ditransitive structures in L1-English L2-Chinese learners: evidence from comprehension and production tasks by Meiqi Li

“…These findings tentatively support the developed version of the bilingual lexical-syntactic representation model and the error-based implicit learning model, indicating that cross-linguistic priming is modulated by learners’ proficiency, where increased exposure and error-driven adjustments strengthen the connection between L1 and L2 syntactic representations. …”
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Nexus Between Economic Growth, Renewable Energy, Industry Value Added and CO2 Emissions in ASEAN by M. Silahul Mu’min, Indah Susilowati, Hanny Qudsyina, Hesti Asri Wahyuni, Suci Rismawati, Hapsari Ayu Kusumawardhani, Md. Ruyel Miah

“…This study uses the vector error correction model (VECM) for analysis. The estimation results show that CO2 emissions are only influenced by the CO2 variable itself in the previous period in the short term. …”
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Shaping a sustainable future: Assessing the response of Russian aluminum exports to the global clean energy transition by Shujaat Abbas, Monirul Islam, Irina Kalina, Oleg Mariev, Kazi Sohag

“…Overall, this study provides robust insights with significant policy implications for ensuring a continuous flow of Russian mineral supply to support global clean energy transformation and a sustainable future.…”
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Performance Analysis of Space-to-Ground Downlink for Polarization Shift Keying Optical Communications with a Gaussian-Schell Model Beam by Jiajie Wu, Yuwei Zhang, Qingyan Li, Siyuan Yu, Jianjie Yu

“…Additionally, models for the probability density distribution and scintillation index of the optical intensity under atmospheric turbulence were developed along with a bit error rate model for the optical communication system. …”
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