Evaluating the Impact of the AI-Powered Interactive Journal “I Am Great Because of Me” on Reducing Impostor Syndrome Among High Performing Students
Impostor Syndrome, a psychological phenomenon where individuals doubt their abilities despite evident achievements, can hinder personal and academic development. This study aims to evaluate the effectiveness of the interactive journal “I am Great Because of Me”, integrated with artificial intelligence (AI), in addressing Impostor Syndrome among high-performing students. The journal features innovative tools such as the Clance Impostor Phenomenon Scale (CIPS) test accessible via QR code, self-acknowledgement pages, and virtual consultations powered by AI chatbots. These elements aim to support self-reflection, provide real-time diagnostics, and deliver actionable recommendations for users. The ADDIE model was employed for the journal's development, incorporating feedback from experts and users. Likert scales and Cohen’s D analysis were used to evaluate satisfaction, usability, and impact. Results showed that 90.1% of students expressed high satisfaction with the journal’s accessibility, interactivity, and capacity to enhance self-awareness and motivation. A pre-test and post-test conducted on the intervention group revealed a significant reduction in Impostor Syndrome by 42.5%, with an effect size of 2.84, categorized as "very large." Features such as the self-acknowledgement worksheets helped students recognize their strengths, while AI consultations offered additional psychological support. Expert validation emphasized the journal’s clarity, relevance, and objectivity, noting the absence of bias in AI-driven suggestions. The journal was praised for its accurate content, ease of use, interactivity, and the protection of user data, ensuring a safe and private environment for self-development. Students found the journal beneficial not only for addressing Impostor Syndrome but also for fostering personal growth and self-confidence. This research demonstrates the potential of combining psychological theories with AI-driven tools in education. The journal “I am Great Because of Me” effectively aids students in overcoming Impostor Syndrome and improving self-perception. It serves as a scalable solution for schools and individuals aiming to tackle similar psychological challenges. Future studies are encouraged to explore its application in broader contexts to maximize its impact.
Mattress Ventilation System
One of the worldwide hidden problems with lack of attention is Bedsores. Simply, These are ulcers, that happen on the areas of the skin that are under pressure while lying on the bed for a prolonged time. This can be infected to anyone in the world. The common group who face these bed sores are..... •Elderly patients, •Spinal cord injury patients, •Stroke patients, •Coma patients, •People who have faced accidents Bed sores develop when the blood supply is cut off for more than 2-3 hours to the skin, (Position changing time depends on the patient's condition) The continuous pressure is the cause for that and also the temperature generated between the skin and the bed surface increases the metabolism of the tissues. When the skin temperature increases by 1°C, the risk of bed sores increases approximately 14 times. So, The skin temperature in the range of 29.4°C to 37.1°C is correlated with the tissue damage score. Not only that shearing and moisture are the other considerable factors for this problem. This infection has 4 stages. Sometimes in the 4th stage of the bed sores can cause death.
Natural resources utilization for the in-house production of fluorescence lipid nanoparticles
Nanotechnology, a transformative force, has steadily gained traction across multiple scientific disciplines, including physics, chemistry, engineering, and biology. It offers unprecedented capabilities, especially in the realm of nanoscale particles, ushering in new paradigms in various applications. One of the most revolutionary applications of nanotechnology is in the pharmaceutical sector. Here, nanoparticles have transformed drug and vaccine delivery systems, offering both efficacy and precision. Among these nanoparticles, lipid nanoparticles (LNPs) have stood out, especially for their role in delivering nucleic acid-based drugs and vaccines. These LNPs are intricate assemblies composed of lipids and nucleic acid complexes, offering an amalgamation of stability and deliverability. Such properties have rendered LNPs as invaluable tools in enhancing therapeutic efficacy while minimizing off-target side effects. The myriad of nanoparticles available includes the likes of silver, gold, and lipid nanoparticles. However, the emphasis of this research lies with lipid nanoparticles, given their widespread success in the pharmaceutical arena. LNPs have showcased their potential in delivering drugs with low therapeutic indices, emphasizing their capability to act as versatile platforms for novel drug development. Recent advances have further expanded the horizons of LNPs, paving the way for novel antisense oligonucleotides, innovative vaccines, and complex lipid nanoparticle formations. Characterizing these nanoparticles is paramount, not only for the development of novel drugs but also to comprehend their in vivo behavior. Their multifaceted nature, stemming from their unique excipients, core-bilayer design, and varying sizes, makes their characterization a critical step in the research and development pipeline.
Developing a Heart-Rate Monitoring App to Help Families in Identifying Mood Changes for Children Diagnosed With Neurodivergence
This study dives into the benefits of a heart rate (HR) monitoring application to aid families in identifying mood changes in children diagnosed with neurodivergence. Children with neurodivergence often struggle with communicating their emotions, which often results in tantrums or emotional outbursts, and this study plans to address this by creating an app that detects users’ HR to calculate heart rate variability (HRV) and detect when the user’s heart rate variability (HRV) levels become higher than usual. Heart-rate variability is defined as a small variation of the interval between every heartbeat, it’s calculated with the formula of . By looking at the developments of these small variations, it will be 60/𝐵𝑃𝑀 × 1000 easier to notice then the interval for heartbeats are shorter, meaning the body is in need of more blood pumped quickly for support. The app is connected to a heart rate sensor that is worn by the user. The heart-rate sensor frequently uploads data to the app which the app processes and carefully observes while looking for any sudden, dramatic change. The sensor and app was tested and proved to meet the expected requirements of functionality. Four participants with neurodivergence were asked to equip the heart-rate sensor and results showed that different developments of heart-rate variability were able to be detected by the app, these participants varied in their type of neurodivergence as well as their age. As an example, the third participant showed the purpose of the app most visibly, having a resting heart-rate of 86 BPM (697.67 ms) turning into a high 107 BPM (561.68ms) after changing activities. When the user’s sensor detects a sudden spike in heart-rate variability, the app notified the parent account about this change in emotion. This study has supported the relevance of using heart-rate variability to observe changes in mood.