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Открытие брокерского счета на Финуслугах: условия, комиссии и возможности для инвестора
West Ham United vs Aston Villa Prediction and Betting Tips | December 14th 2025
Chaos during Messi's India visit: What really happened at Salt Lake Stadium & what lies ahead
Orissa high court directs amendment in APAAR ID consent form for opt-out option
Gen Z is drinking 20% less than Millennials. Productivity is rising. Coincidence? Not quite
The gravity defying 7,047-high railway with track that makes trains reverse to survive
Villagers set fire to househod items of woman arrested for boy's murder
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Новости за 10.12.2025

Чем заняться дома: «Достать ножи», ИИ, Artemiev и диалоги актеров
В Курске подростка ранили ножом на уроке в школе
Дженнифер Инглиш вручили игровой «Оскар» за роль Маэль в игре Clair Obscur: Expedition 33
В Москве учредили премию для специалистов отечественной киноиндустрии «Цех. За кадром»
Любовь во время войны и «левитирующий» Малевич: чем удивляет выставка Шагала в Пушкинском
Гороскоп на январь 2026 для всех знаков зодиака
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Improved predictive formulae for wave overtopping at sloped breakwaters using interpretable machine learning models

by M. A. Habib, S. Abolfathi, J. J. O’Sullivan, M. Salauddin

Accurate prediction of mean wave overtopping discharge is essential for the safe and cost-effective design of coastal defence structures. While traditional empirical, physical, and numerical models remain important, Machine Learning (ML) has recently emerged as a powerful complementary tool. This study presents a ML–based framework to predict mean wave overtopping discharge at sloped breakwaters, with a focus on both predictive accuracy and model interpretability... Читать дальше...

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Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM

by Yang Yang

With the rapid advancement of cross-border e-commerce, accurately predicting user purchase behavior has emerged as a critical challenge for enhancing platform operational efficiency and user experience. This study proposes a hybrid deep learning framework for predicting user purchase behavior in cross-border e-commerce. The model integrates Long Short-Term Memory (LSTM) networks with Variational Mode Decomposition (VMD) to forecast future user actions. The proposed methodology... Читать дальше...

CNN объяснил причины возникновения двойного хвоста у кометы 3I/ATLAS
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Салатный торт «Снежная равнина»: праздничный шедевр для вашего стола!
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Association between changes in self-esteem and smartphone dependency among Korean adolescents

by Ah Jung Ko, Yu Shin Park, Jinhyun Kim, Eun-Cheol Park

Increasing smartphone ownership across all age groups has raised concerns about the rising risk of smartphone addiction, particularly during adolescence when self-esteem development is critical. This study aimed to investigate the association between changes in self-esteem and smartphone dependency over a five-year period using data from the Korean Children and Youth Panel Survey (2018–2022). A total of 1,971 participants from the middle school 1st grade cohort were analyzed. Читать дальше...

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The eye, a spy hole on human mind: Spontaneous blink rate and amplitude, and their variability, as new psychobiological markers of anxiety

by Alon Tomashin, Francesca Fusina, Marco Marino, Alessandro Angrilli

Spontaneous blink is a behavioral index that proved to represent an interesting window on the human brain and mind. It can be easily extracted from the electroencephalogram, eye-tracking or video-recording. In past studies Blink Rate (BR) was found to be modulated by attention, emotion, and fatigue. We added to current research by testing some new blink-related measures (Blink Amplitude-BA, Blink Rate Variability-BRV and... Читать дальше...

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The relationship between lay beliefs about the world and pandemic-related beliefs, attitudes, and behaviors

by Julia Marie Jankowski, Kata Sik, Veronika Job

The Covid-19 pandemic created a strong need to understand how people can be motivated to engage in protective health behaviors (such as vaccination). Past research suggests that perceiving a health threat as serious and protective behaviors as beneficial increases people’s motivation to engage in protective behavior. However, perceptions of the seriousness of the threat and the effectiveness of protective behavior can be ambiguous in the context of a novel, global pandemic. Читать дальше...