Verbal-Visual Means of Representing Gender Stereotypes in Modern Advertising by M. V. Terskikh

“…The variability of ideas about femininity and masculinity in the modern world is emphasized. …”
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Permafrost thermal regime and active layer dynamics across periglacial landforms in Svalbard's Nordenskiöld Land Permafrost Observatory, 2008–2023 by Sarah Marie Strand, Hanne H. Christiansen

“…On Spitsbergen, Svalbard, the Nordenskiöld Land Permafrost Observatory provides ground temperature time series from 2008 to the present in 16 boreholes located in a variety of periglacial landforms. …”
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Utility of automated data transfer for cancer clinical trials and considerations for implementation by M. Pfeffer, M. Deneris, A. Shelley, P. Salcuni, I. Altomare

“…Materials and methods: We examined the impact of multi-site usage of an embedded point and click EHR-to-EDC tool on study data capture across multiple phase I cancer clinical trials by conducting a retrospective analysis of volume of and time for data transfer across protocols. Results: During a 15-month observation period, the EHR-to-EDC tool was used to transfer 11 342 individual data points (89% laboratory values, 8% vitals and 3% concomitant medications) representing 955 unique case report form (CRF) submissions. …”
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A Skillful Prediction of Monsoon Intraseasonal Oscillation Using Deep Learning by K. M. Anirudh, Prasang Raj, S. Sandeep, Hariprasad Kodamana, C. T. Sabeerali

“…These indices were obtained through an extended empirical orthogonal function analysis conducted on 25 years of daily rainfall anomalies over the Indian region. The long time series of MISO1 and MISO2 indices generated from this analysis were then used to forecast future values using a transformer‐based deep learning model. …”
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Exploring the potentials of mango-orange leaf extract as an inhibitor on carbon steel in an acidic medium: Optimization, kinetics, and thermodynamics by Elijah Emeteveke Aghogho, Prosper Eguono Ovuoraye, Innocent Oseribho Oboh, Oluwafemi Osarhiemen Olayebi

“…The effects of optimized variables on corrosion inhibition were examined. The result confirmed optimum inhibition efficiency of 96 % corresponding to MOEx concentration, temperature, and time of 450 ppm, 30 0C, and 3 h recorded at an optimum acid concentration of 1.3 M of H2SO4. …”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

“…The system automatically detects anomalies using a 0.1% threshold, enabling real‐time monitoring of 78 variables across 136,000+ operational records. …”
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Data-driven insights into groundwater quality: machine and deep learning approaches by Gift Mbuzi, Abdur Rashid Sangi, Baha Ihnaini, Anil Carie, Sruthi Sivarajan, Satish Anamalamudi

“…Temporal analysis for the variability of arsenic levels revealed decreasing values post-year 2019, which may be due to dilution effects and regulatory measures, while nitrate contamination fluctuated region-wise. …”
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Social Compliance With NPIs, Mobility Patterns, and Reproduction Number: Lessons From COVID-19 in Europe by Daniele Baccega, Jose Aguilar, Carlos Baquero, Antonio Fernandez Anta, Juan Marcos Ramirez

“…However, the relationship between mobility and Rt is weaker and more nuanced, reflecting the time delays involved, as changes in mobility take time to influence transmission rates. …”
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Cross-sectional study of dietary practices from the Dietary Guidelines for the Brazilian Population among users of a Basic Health Unit in Pelotas, 2022 by Mabel Nilson Alves, Denise Petrucci Gigante, Gicele Costa Mintem, Francine Silva dos Santos

“…Conclusion The adequacy score values were higher in brown/black individuals and those who practiced some kind of physical activity during leisure time. …”
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The Role of Lithology on Concentration‐Discharge Relationships and Carbon Export in Two Adjacent Headwater Catchments by L. Giggy, M. Zimmer

“…The catchment with mélange bedrock displayed much flashier hydrologic behavior with 7.8 times higher peak flow values and 1.9 times higher mean event concentrations of DOC, suggesting shorter and shallower hydrologic flow paths that likely arise from regions of shallower bedrock. …”
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Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework by Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li

“…The results demonstrated that the VAE–Flow network achieved higher computational efficiency, with a computation time of 4 s for generating 1000 acoustic TL samples, versus the over 500 s required by the KRAKEN model, while preserving accuracy, with median structural similarity index measure (SSIM) values over 0.90.…”
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Evaluation of the oscillatory interference model of grid cell firing through analysis and measured period variance of some biological oscillators. by Eric A Zilli, Motoharu Yoshida, Babak Tahvildari, Lisa M Giocomo, Michael E Hasselmo

“…We show analytically that the square of the drift in encoded position due to noise is proportional to time and inversely proportional to the number of oscillators. …”
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Medication adherence framework: A population‐based pharmacokinetic approach and its application in antimalarial treatment assessments by Junjie Ding, Richard M. Hoglund, Joel Tarning

“…The percentile approach used population‐based simulations to derive optimal concentration percentile cutoff values from the distribution of simulated drug concentrations at a specific time. …”
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Prediction of anaerobic capacity from lactate kinetics during constant supramaximal test by روح الله نیکویی, مجید نظری, حمید معرفرتی

“…Lactate changes (A La), time constant of lactate changes (A TLa), maximum lactate accumulation (Lamax) were calculated from lactate-time graph by Microcal Origin software. …”
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Comparative Modeling and Prediction of the Mechanical Strength of Chemically Modified Bamboo Fibers Using Artificial Neural Networks and Response Surface Methodology by Mamookho Elizabeth Makhatha, Patrick Ehi Imoisili, Sebetlela Letlhabula, Tien-Chien Jen

“…Artificial neural networks (ANN) in artificial intelligence (AI) have been utilized to solve an array of engineering challenges. At the same time, response surface methodology (RSM) is a modeling strategy to maximize the response or responses when two or more quantitative components are involved. …”
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Automated scan quality evaluation for DDH using transfer learning: Development of a novel ensemble system. by Yeon-Kyoung Ko, Seung-Bo Lee, Si-Wook Lee

“…However, there is an intra-observer/inter-observer variability in determining the exact location of the landmarks. …”
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Understanding Acceleration-Based Load Metrics: From Concepts to Implementation by João Freitas, Alexandre Moreira, João Carvalho, Filipe Conceição, Luisa Estriga

“…Experimental results indicated that when metrics were summed, their values were nearly identical. In time-series comparisons, Jerk Modulus and cAccel’Rate were predictably found to be nearly identical, while Body Load was the most distinct. …”
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The effect of coronary stent policies on the risk of percutaneous coronary intervention among acute coronary syndrome patients in Shanghai: Real-world evidence. by Zhenyi Shao, Dongzhe Lu, Yue Wang, Di Xue

“…The proportion of ACS inpatients who had at least one bid-winning stent and 3 or more coronary stents implanted for first-time PCI in the postpolicy cohort was higher than that in the prepolicy cohort (86.52% vs. 55.67% and 6.27% vs. 4.39%, respectively; all p values < 0.0001). …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…A comprehensive statistical analysis was conducted to identify trends and seasonality alongside significant correlations between the forecasted values and various time lags. A total of 20 time lags and the “month” feature were selected as significant predictors. …”
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The Impact of Financial Literacy on the Choice of Financial Instruments by Private Investors in Russian Conditions by R. М. Melnikov

“…It is proposed to include questions that allow assessing advanced financial competencies and forming the values of variables that can act as instruments for the level of financial literacy in subsequent waves of the survey to develop the information base for further research.…”
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