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The Challenges of AI in Administrative Law and the Need for Specific Legal Remedies: Analysis of Polish Regulations and Practice
Published 2024-11-01“…However, automated decision-making (ADM) and AI-supported decision-making create new dilemmas, especially in relation to accountability, data protection, and general principles of administrative law. …”
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2322
A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome
Published 2025-02-01“…Abstract Background Leveraging long-read sequencing technologies, the first complete human reference genome, T2T-CHM13, corrects assembly errors in previous references and resolves the remaining 8% of the genome. …”
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2325
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2326
BACK TO THE “GOLD STANDARD”: HOW PRECISE IS HEMATOCRIT DETECTION TODAY?
Published 2022-06-01“…Conclusions: This study introduces "micro-HCT" assessment technique using the image-analysis module of "ImageJ" software. This procedure allows overcoming most of the data errors associated with the standard "micro-HCT" evaluation and can replace the use of complicated and expensive automated equipment. …”
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2327
Evaluation of Large Language Models in Tailoring Educational Content for Cancer Survivors and Their Caregivers: Quality Analysis
Published 2025-04-01“…Future research should integrate expert feedback, additional prompt engineering strategies, and specialized training data to optimize content accuracy and accessibility.…”
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2328
Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research
Published 2025-12-01“…This study synthesizes research on twelve key biases through meta-analysis, confirming their significant impact across markets, where cognitive biases include overconfidence (overestimating knowledge), anchoring (relying on initial reference points), herd behavior (following crowds), representativeness (using stereotypes over data), availability heuristic (overweighting recent information), and mental accounting (categorizing money subjectively), while emotional biases feature loss aversion (fearing losses more than valuing gains), regret aversion (avoiding potential regret), self-attribution (blaming failures on externals), optimism bias (overestimating success), and self-control issues (failing long-term planning). …”
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2329
Comparative Analysis of Load Profile Forecasting: LSTM, SVR, and Ensemble Approaches for Singular and Cumulative Load Categories
Published 2025-04-01“…This LSTM potential was also shown by the mean absolute percentage error (MAPE) and symmetric mean absolute percentage error (SMAPE) during the on-peak period, with around 3–5% improvement compared to SVR and the blended model. …”
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Detection of vehicles and analysis of traffic volume by real-time video-graphic technique using python algorithm
Published 2025-08-01“…First, followed by data acquisition of traffic videos, is the methodology implemented through five consecutive procedural steps, including algorithm development, system testing, and data exportation before manual vehicle count validation. …”
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Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges
Published 2025-07-01“…Validation experiments using point cloud data of a steel corner specimen revealed dimensional errors up to 5 mm and angular errors up to 6°, but static load analysis demonstrated good accuracy with maximum displacement errors within 3.8% and maximum stress errors within 7.7% compared to nominal models. …”
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2333
Temporal disruption in tuberculosis incidence patterns during COVID-19: a time series analysis in China
Published 2024-12-01“…Additionally, we compared the fitting and forecasting performance of the SARIMA, Prophet, and LSTM models using RMSE (root mean squared error), MAE (mean absolute error), and MAPE (mean absolute percentage error) indexes prior to the COVID-19 outbreak. …”
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2334
Thermal Deformation Analysis of a Star Camera to Ensure Its High Attitude Measurement Accuracy in Orbit
Published 2024-12-01“…These findings validate the effectiveness of the thermal design and the accuracy of the thermal simulation analysis. The analysis of error sources presented in this paper offers crucial insights for effectively controlling the thermal deformation errors of star cameras and lays the groundwork for optimizing overall thermal design.…”
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The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology
Published 2025-05-01“…With the increase of data volume, the character error rate decreases from 5.2 to 2.7%, the reasoning delay is always kept within 15ms, and the resource utilization rate reaches more than 75%, showing efficient computing ability. …”
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Uncovered interest rate parity phenomenon and determinants of domestic interest rates: an analysis of Pakistan and China economies
Published 2024-03-01“…The World Development Indicators is main source of data gathering, and it ranges from 1980 to 2023 for the analysis of both models. …”
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ESA's Aeolus Mission Reveals Uncertainties in Tropical Wind and Wave‐Driven Circulations
Published 2025-04-01“…Despite large observation random errors, the assimilation of HLOS winds produced substantial effects on Kelvin and n=1 Rossby wave zonal winds, and, through 4D‐Var, on mixed Rossby‐gravity waves. …”
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Structural Analysis and 3D Reconstruction of Underground Pipeline Systems Based on LiDAR Point Clouds
Published 2025-01-01“…These segments were used to reconstruct topological connections, and a Building Information Model (BIM) of the underground pipeline was generated based on the structural analysis. Experiments on actual underground scenes evaluated the method using recall rate, radius error, and deviation between point clouds and models. …”
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