Alleviating Academic Stress Among 18-19-year-old Older Adolescents Through The Use Of Natural Elements In Indoor Spaces

Mental stress is particularly prevalent among adolescents between the ages of 13-19, and long-term stress can lead to more serious problems such as anxiety and depression. The link between nature and adolescent health has long been a subject of interest. This research study is an exploration related to the theme “mental health protection,” exploring how a design intervention could inject natural elements into the interior spaces where stressful adolescents spend their time. This research paper reviews previous literature regarding mental health and adolescents, expounds on the causes and effects of adolescents’ stress, how adolescents are exposed to the natural environment, and multiple correlations between natural factors and adolescents’ psychological well-being. Based on student feedback, this study proposes a strategy for a prototype design that makes use of gutta-percha, a kind of bio-material from Eucommia Ulmoides. In order to verify the reliability of the design, alternative yet similar structural material was used for assembly and testing. The result of my testing was positive. In addition, I was able to define a research gap that separates this work from previous scholarship. Through my work, I also proposed a speculative prospect of integrating plant-human interaction and biofeedback through plant bionics responses to stress

Alleviating Academic Stress Among 18-19-year-old Older Adolescents Through The Use Of Natural Elements In Indoor Spaces

Mental stress is particularly prevalent among adolescents between the ages of 13-19, and long-term stress can lead to more serious problems such as anxiety and depression. The link between nature and adolescent health has long been a subject of interest. This research study is an exploration related to the theme “mental health protection,” exploring how a design intervention could inject natural elements into the interior spaces where stressful adolescents spend their time. This research paper reviews previous literature regarding mental health and adolescents, expounds on the causes and effects of adolescents’ stress, how adolescents are exposed to the natural environment, and multiple correlations between natural factors and adolescents’ psychological well-being. Based on student feedback, this study proposes a strategy for a prototype design that makes use of gutta-percha, a kind of bio-material from Eucommia Ulmoides. In order to verify the reliability of the design, alternative yet similar structural material was used for assembly and testing. The result of my testing was positive. In addition, I was able to define a research gap that separates this work from previous scholarship. Through my work, I also proposed a speculative prospect of integrating plant-human interaction and biofeedback through plant bionics responses to stress

Wearther: An iOS Mobile Application For Women

Have you ever wondered what to wear for the current weather and later when you go outside you confirm that you were too optimistic about your ability to endure the cold? Wearther: an iOS Mobile Application for Women is an iOS Mobile Application designed to help women choose the proper outfit that matches the weather outside. It is an interaction design and visual design project. Unlike other dressing related application, Wearther is not a clothing organizer or a fashion adviser. It is not a weather app either, although it emphasizes weather. The concept of this project is to analyze real fabric information and then to suggest proper clothing from the user\u27s personal wardrobe based on weather condition. The application provides two options for the user to add their clothing items into the Wardrobe section: from photo and scan barcode. Users can set the time that they are preparing outfits for, and then the application will provide a pool of proper clothing based on the weather condition at the selected time. After wearing the outfit, the user can log how she felt about the outfit. The application will then learn from the user\u27s feedback to adjust and provide more personalized suggestions next time

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection

You Only Look Once (YOLO)-based object detectors have shown remarkable accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO architecture by incorporating Bi-level Routing Attention (BRA), Generalized feature pyramid networks (GFPN), and Fourth detecting head into YOLOv8. BGF-YOLO contains an attention mechanism to focus more on important features, and feature pyramid networks to enrich feature representation by merging high-level semantic features with spatial details. Furthermore, we investigate the effect of different attention mechanisms and feature fusions, detection head architectures on brain tumor detection accuracy. Experimental results show that BGF-YOLO gives a 4.7% absolute increase of mAP$_{50}$ compared to YOLOv8x, and achieves state-of-the-art on the brain tumor detection dataset Br35H. The code is available at https://github.com/mkang315/BGF-YOLO