Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

“…Focusing on a subset of particle flux, we use Principal Component Analysis for dimensionality reduction and Long Short‐Term Memory (LSTM) neural networks to perform dynamic modeling. …”
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Predicting the passive control of fluid forces over circular cylinder in a time dependent flow using neuro-computing by Atif Asghar, Rashid Mahmood, Afraz Hussain Majeed, Hammad Alotaibi, Ahmed Refaie Ali

“…These results show that the mean square error values are very close to zero, indicating a strong correlation between the fluid force coefficients obtained from CFD and those predicted by the ANN. …”
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Acoustic Emission-Based Method for IFSS Characterization in Single-Fiber Fragmentation Tests by Felipe Romero, Franco Méndez, Javiera González, Víctor Tuninetti, Carlos Medina, Meylí Valin, José Valin, Alexis Salas, Cristián Vicuña

“…To refine the estimation of fragment lengths, a gamma distribution is fitted to experimental data, accounting for observed asymmetry in optical measurements. …”
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Performance assessment of three simplified Gielis equations in quantifying the geometries of lanceolate bamboo leaves by Qinchao Fu, Jing Li, Azuo Jimu, Ximeng Xiao, Lin Wang

“…Nevertheless, selecting an optimal nonlinear equation that precisely fits empirical bamboo leaf data remains a formidable challenge in morphological studies. …”
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Evaluating the impact of machine learning models on adult major depressive disorder using conventional treatment strategies: a systematic review approach by Nishant Yadav, Anamika Gulati, Varun Gulati, Prashant Yadav

“…Abstract Background Major Depressive Disorder (MDD) is a leading cause of global disability often treated through a trial-and-error approach, yet treatment response to antidepressants remains highly variable, with remission rates below 50% after initial treatment. …”
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Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

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Calculation of IOL Optical Power Using OKULIX Ray-Tracing Software in Real Clinical Practice by K. B. Pershin, N. F. Pashinova, A. Yu. Tsygankov, I. V. Kosova

“…Purpose. Comparative analysis of the accuracy of IOL optical power calculation using different biometric devices.Patients and methods. …”
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Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems by Yang Zhao, SI-YU Zhang, Yuexia Zhang, Gongpu Wang, Behnam Shahrrava

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Kratom use disorder and unfolded protein response: Evaluating their relationship in a case control study. by Bin Yang, Mei Lan Tan, Ruiling Zhang, Darshan Singh, Mohammad Farris Iman Leong Bin Abdullah

“…Although psychostimulant use has been linked to occurrence of endoplasmic reticulum (ER) stress, data is lacking on how regular kratom use affects ER stress. …”
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A Practical Framework for Estimating Façade Opening Rates of Rural Buildings Using Real-Scene 3D Models Derived from Unmanned Aerial Vehicle Photogrammetry by Zhuangqun Niu, Ke Xi, Yifan Liao, Pengjie Tao, Tao Ke

“…The Façade Opening Rate (FOR) reflects a building’s capacity to withstand seismic loads, serving as a crucial foundation for seismic risk assessment and management. However, FOR data are often outdated or nonexistent in rural areas, which are particularly vulnerable to earthquake damage. …”
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HEART AND VESSEL REMODELING IN DIFFERENT AGE GROUPS OF PATIENTS WITH ARTERIAL HYPERTENSION by V. N. Kandilova

“…The results of reactive hyperemia test on the right brachial artery and blood lipid profile were studied with the calculation of atherogenicity coefficient (AC). The data analysis was carried out with the help of Statistica 12 application package with determination of mean values (M), minimum, maximum and mean error (m), median and interquartile range for the CCA intima-media thickness (IMT). …”
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Cataract surgery has minimal effect on corneal shape by Vito Romano, Stephen B Kaye, Keri McLean, Luca Pagano, Esmaeil M Arbabi, Fadi Alfaqawi, Ahmed Al-Maskari, Gabriella Czanner

“…Repeat biometric measurements were taken before surgery and at 6 weeks on both operated and unoperated fellow eyes. Data were transformed into Long’s formalism for analysis. …”
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Why Do People Gather? A Study on Factors Affecting Emotion and Participation in Group Chats by Lu Yan, Kenta Ono, Makoto Watanabe, Weijia Wang

“…Our analysis shows significant relationships between usability (γ = 0.236, <i>p</i> < 0.001), chat rhythm (γ = 0.172, <i>p</i> < 0.001), user behavior (γ = 0.214, <i>p</i> < 0.001), and emotions, which directly impact participation. …”
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Controlling Mechanized Technological Processes of Grain Crop Cultivation by G. L. Utenkov, I. P. Dobrolyubov

“…The minimum of dynamic error has been accepted as the quality criterion of the positional control system. …”
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Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment by Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonovic, Milan Stojković

“…TKAN demonstrated strong alignment with observed statistical parameters, achieving a Mean Absolute Error (MAE) of 5.799 m³/s and a Nash-Sutcliffe Efficiency (NSE) of 0.958, compared to MAE and NSE values of 8.865 m³/s and 0.942 for LSTM, and 5.706 m³/s and 0.961 for TCN, respectively. …”
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Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

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Detection and Profiling of Antibiotic Resistance among Culturable Bacterial Isolates in Vended Food and Soil Samples by Susan W. Muriuki, Johnstone O. Neondo, Nancy L. M. Budambula

“…The antibiotic susceptibility test, morphological and biochemical characterization, antibiosis assay, polymerase chain reaction-based detection of antibiotic resistance genes, and sequencing of the 16S rRNA gene were done. Analysis of variance on all measured data was done, and Tukey’s honest test was used to compare and separate mean diameters of zones inhibition. …”
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Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc by Shuipang Liu, Zhenhua Xu, Jia You, Peiwen Zhang, Xiaofeng Li, Zhongya Cai

“…In this study, we develop a data‐driven deep learning model, named BiLSTM‐Transformer‐ANN (BILTA). …”
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Study on Detection Method of Sulfamethazine Residues in Duck Blood Based on Surface-Enhanced Raman Spectroscopy by Junshi Huang, Runhua Zhou, Jinlong Lin, Qi Chen, Ping Liu, Shuanggen Huang, Jinhui Zhao

“…Under optimal conditions, the SERS spectral data of the samples were preprocessed, and features were extracted to establish an optimal quantitative prediction model. …”
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Determining optimal clinical target volume margins based on microscopic extracapsular extension of metastatic nodes in patients with non-small-cell lung cancer after chemotherapy o... by Yujiao Zhang, Jiaran Li, Xiao Song, Fen Zhao, Li Li, Shuanghu Yuan

“…We determined appropriate margin widths based on a 5% error risk as 3.00, 2.30, and 1.40 mm for direct surgery, NAC, and NACI, respectively. …”
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