Normative evidence weighing and accumulation in correlated environments by Nathan Tardiff, Jiwon Kang, Joshua I Gold

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Accurate modeling of annular gas-water flow across diverse inclination angles using an advanced drift-flux correlation by Abdulaziz AlSaif, Abdelsalam Al-Sarkhi

“…Drift-flux models are widely used for analyzing two-phase flows but often fail to accurately represent annular flow dynamics due to a conceptual mismatch. …”
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Predicting Heart Rate Slow Component Dynamics: A Model Across Exercise Intensities, Age, and Sex by Massimo Teso, Alessandro L. Colosio, Maura Loi, Jan Boone, Silvia Pogliaghi

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Epigenetic Drift Is Involved in the Efficacy of HBV Vaccination by Francesca Ferraresi, Simona Anticoli, Stefano Salvioli, Chiara Pirazzini, Luciano Calzari, Davide Gentilini, Christian Albano, Reparata Rosa Di Prinzio, Salvatore Zaffina, Rita Carsetti, Paolo Garagnani, Anna Ruggieri, Katarzyna Malgorzata Kwiatkowska

“…Moreover, we observed a correlation between epigenetic drift and DNA methylation entropy in the male population of the cohort. …”
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Integrated Correction of Nonlinear Dynamic Drift in Terrestrial Mobile Gravity Surveys: A Comparative Study Based on the Northeastern China Gravity Monitoring Network by Zhaohui Chen, Jinzhao Liu

“…To address the data reliability challenges posed by nonlinear dynamic drifts in spring-type relative gravimeters during mobile surveys, this study quantifies—for the first time—the non-smooth normal distribution characteristics of such drifts using the inaugural 2015 dataset from two CG-5 instruments. …”
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Zooplankton Diversity, Dynamics and Correlation with Physicochemical Parameters at Ugbevwe Pond in Delta State, Nigeria by J.A. Edoreh, T.O.T IMoobe, E. Ikpokpo, M.M. Ubrei-Joe, C.M. Ubrei-Joe

“… Zooplankton are microscopic floating animals, which drift in water and whose swimming power if any, serve mainly to keep them afloat. …”
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Evaluating correlations between reading ability and psychophysical measurements of dynamic visual information processing in Japanese adults by Ryohei Nakayama, Miki Uetsuki, Kazushi Maruya, Hiromasa Takemura

“…Abstract The reading ability of English readers has been shown to correlate with psychophysical measurements of dynamic visual information processing. …”
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Developing Dynamic Digital Image Correlation Technique to Monitor Structural Damage of Old Buildings under External Excitation by Ming-Hsiang Shih, Wen-Pei Sung

“…When subject to external excitation, a building may suffer a certain degree of damages, and its residual capacity to resist external excitation cannot be evaluated. In this research, dynamic digital image correlation method combined with parameter evaluation available in system identification is used to evaluate the structural capacity to resist external excitation. …”
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<italic>PRIDES</italic>: A Probabilistic Model for Recurrent User Interest Drift Identification in Session-Based Recommendation by Vinnakota Saran Chaitanya, P. Santhi Thilagam

“…A key challenge in this context is the dynamic change in user preferences, particularly when preferences disappear and reappear within a session, a phenomenon referred to as Recurrent User Interest Drift (RUID). …”
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Characterizing wind, wave, and Stokes drift interactions in the upper ocean during Typhoon Doksuri using the COAWST model by Yaoyao Han, Changsheng Zuo, Zhizu Wang, Yucui Wang, Chengchen Tao, Xu Zhang, Juncheng Zuo

“…The COAWST model is used in this study to simulate wind fields, wave fields, and Stokes drift during Typhoon Doksuri, aiming to reveal the dynamics of atmosphere-ocean-wave interactions under typhoon conditions. …”
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Role of electrode materials in resistive switching mechanisms of oxide-based memristors for enhanced neuromorphic computing: A comprehensive study by Armin Gooran-Shoorakchaly, Sarah Sharif, Yaser M. Banad

“…This study extends the state-of-the-art TaOx-based memristors by explicitly coupling electrode-dependent thermal conductivity to the electrical-thermal solver and by treating drift, diffusion, and Soret flux on equal footing. …”
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Prospects of 4H-SiC Double Drift Region IMPATT Device as a Photo-Sensitive High-Power Source at 0.7 Terahertz Frequency Regime by Moumita Mukherjee, Nilratan Mazumder, Sitesh Kumar Roy

“…The dynamic performance of wide-bandgap 4H-SiC based double drift region (p++ p n n++) IMPATT diode is simulated for the first time at terahertz frequency (0.7 Terahertz) region. …”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…It also features a buffer to store batch data showing pattern changes and dynamically adjusts weights to counteract concept drift. …”
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Numerical simulation of the effects of downwash airflow and crosswinds on the spray performance of quad-rotor agricultural UAVs by Qiwei Guo, Yaozong Zhu, Yu Tang, Chaojun Hou, Mingwei Fang, Xiaobing Chen

“…Higher operation altitudes prolonged droplet residence times within airflow, further elevating drift risk. Crosswind velocity positively correlated with downwash airflow deflection angles, expanding airflow coverage under crosswinds; however, increasing crosswind velocities unexpectedly reduced droplet deflection angles. …”
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Robust visual tracking using temporal regularization correlation filter with high-confidence strategy by Xiao-Gang Dong, Ke-Xuan Li, Hong-Xia Mao, Chen Hu, Tian Pu

“…In this paper, a universally applicable method based on correlation filters is introduced to mitigate model drift in complex scenarios. …”
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Determining Critical Ground Motion Parameters for Damage Prediction in Reinforced Concrete Frame Existing Buildings by Tanja Kalman Šipoš, Adriana Brandis, Uroš Bohinc, Uroš Ristić

“…Peak ground velocity (PGV), specific energy density (SED), and Housner Intensity (HI) were found to be the most important variables in assessing the correlation with possible structural damage. Therefore, the assessment of structural damage based on nonlinear dynamic analysis should primarily incorporate PGV with the possible addition of energy- and spectrum-based metrics as the most reliable ground motion parameters for the selection of earthquake records for time history analysis.…”
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Developing Dynamic Digital Image Techniques with Continuous Parameters to Detect Structural Damage by Ming-Hsiang Shih, Wen-Pei Sung

“…If the characteristics of structures can be well understood to implement new technology, the damages caused by most natural disasters can be significantly alleviated. In this research, dynamic digital image correlation method for using continuous parameter is applied for developing a low-cost digital image correlation coefficient method with advanced digital cameras and high-speed computers. …”
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The relationship between confidence and gaze-at-nothing oculomotor dynamics during decision-making. by Ignasi Cos, Gizem Senel, Pedro E Maldonado, Rubén Moreno-Bote

“…Given that decisions in our experimental paradigm are reported in the absence of the stimuli, this suggests a relationship between evidence retrieval from working memory, confidence gathering and oculomotor dynamics. Finally, we performed a model comparison based on predictions from drift-diffusion models to assess the relationship between sequential fixations between images, deliberation and confidence gathering, and the ensuing choice. …”
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Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set by Jinna Li, Yuan Li, Haibin Yu, Yanhong Xie, Cheng Zhang

“…Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. Mahalanobis distance, representing the correlation among samples, is used to simplify and update the raw data set, which is the first merit in this paper. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…For a thorough comparison of state-of-the-art methods and sensors, we applied three different techniques (cross-correlation using geoCosiCorr3D, feature tracking with ORB using SeaIceDrift and the new deep learning-based method using ICEpy4D) and three different platforms (Sentinel-2, PlanetScope, UAVs) to estimate glacier surface velocities. …”
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