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July 14, 2024

The Era of Short Forms of Media - A Neurobiological Perspective

This bachelor's thesis examines the rise of short-form videos on platforms like TikTok, YouTube Shorts, and Instagram Reels, with a focus on their impact on the brain and cognitive functions. It delves into the neurobiological role of dopamine in compulsive usage and highlights connections to sleep quality, focus, and social interactions. The findings emphasize the need for greater awareness and further research into the psychological and social effects of this trend.

 Short-form video feed connected to attention, reward, and sleep mechanisms in the brain
February 2, 2024

Sentiment Analysis Algorithms for Financial Opinions

This article presents a comparison of results from financial sentiment analysis using an artificial intelligence model. It explores how the model performs under different parameter settings to classify sentences as positive, neutral, or negative, providing insights into the effectiveness of AI-driven sentiment evaluation.

 Financial sentiment symbols connected to an AI model and market trend
January 8, 2024

Algorithms for Recognizing People's Age from Facial Photos

This article presents a comparison of facial image classification results across four age groups: 6-20, 25-30, 42-48, and 60-98 years. It analyzes the effectiveness of various models with different parameters, addressing challenges like overfitting, and evaluates their performance against the popular VGG19 model.

 Four life stages arranged within an AI image-classification frame
January 2024

Muscle Mechanics Instinct

This study examines how accurately people can intuitively identify which muscle group carries the greatest load during an exercise. It also explores whether strength-training experience, long-term participation in sport, and anatomical knowledge are associated with better recognition of muscular load.

 Anatomical illustration showing muscular load during a dumbbell exercise
December 12, 2023

Prediction Using Artificial Neural Network Models

This article explores the use of an artificial neural network to predict match outcomes in "League of Legends" based on data from the first 15 minutes of gameplay. The study examines the early phase of the game, analyzing how accurately outcomes can be predicted using key team statistics. It also focuses on an in-depth comparison of the effectiveness of the neural network by experimenting with various parameters and evaluating the performance differences across multiple configurations.

 Strategy-game statistics flowing through a neural network to a prediction
November 20, 2023

Effectiveness Report of Predictions From Various Machine Learning Models

This article explores the training of an artificial neural network to predict match outcomes in "League of Legends" using data from the first 15 minutes of gameplay. By analyzing key team statistics, it examines how accurately outcomes can be forecasted and whether the early stages of the game are truly decisive.

 Dataset compared across four machine-learning model pathways
June 2023

Does Awareness of Nutritional Value Influence Opinions About the Taste of a Meal?

This psychodietetic study investigates whether positive or negative health information about a muesli bar changes how consumers perceive its taste. Based on a natural experiment with 140 participants, it explores the relationship between nutritional awareness, health consciousness, sweetness, and taste ratings.

 Muesli bar with a simplified nutrition label and sensory waves