Circular garments on the market are commonly described through brief claims such as recycled content, long wear life, repair services, or take-back schemes. Consumers, however, compare complete garments, so price, fit, handle, care requirements, and service conditions enter the decision at the same time.This review primarily examines studies on circular design and sustainable clothing consumption published between 2010 and July 2026, supplemented by foundational studies on perceived value and planned behavior. Choice-based conjoint analyses, surveys, experiments, interviews, and living-lab studies show that durability.......

Keywords: Circular fashion, sustainable clothing, durability, repairability, recyclability, traceability, purchase intention, consumer value.

This study aimed to develop an AI chatbot for hospital navigation and examine the effects of education using the chatbot on nursing students' clinical practice engagement, clinical practice adaptation, and clinical practice satisfaction. Methods A nonequivalent control group pretest-posttest design was employed. Participants were 62 nursing students recruited from a university in G City, Korea, between March 5 and June 5, 2025. Clinical practice engagement, clinical practice adaptation, and clinical practice satisfaction were assessed using structured self-report questionnaires. Data were analyzed using IBM SPSS Statistics version 25.0........

Keywords: Hospital; Artificial Intelligence; Navigation; Chatbot; Nursing Students.

Real-time face recognition systems typically depend on large, pre-assembled facial image datasets and dedicated server infrastructure, resources that are often unavailable or impractical for lightweight, on-the-spot deployments. This dependency compounds a longer-standing weakness in identity verification generally: conventional methods such as passwords, PINs, and ID cards remain vulnerable to theft, loss, and misuse, while classical face recognition techniques such as Eigenfaces and Fisherfaces degrade sharply under real-world variation in lighting, pose, and occlusion........

Keywords: Face Detection, Face Recognition, Computer Vision, Deep Learning, FaceNet, OpenCV.

Because there is no systematic study on soil classification in yanbian county, panzhihua city. Therefore, this study will fill this gap. Secondly, the main purpose of this study is to provide a basis for the systematic classification of mountainous soil in yanbian county and the development and utilization of soil resources. In this study, the soil types of eight towns under the jurisdiction of yanbian county were taken as the research object. According to the "soil systematic classification and retrieval in China" (the third edition), the data of moisture content, pH, organic matter, ammonium nitrogen, available phosphorus and available potassium were determined through field investigation and soil indoor physical and chemical properties analysis.......

Keywords: yanbian county; soil system classification; soil physical and chemical property.