With the current cost of living situation in Thailand continuously rising, many recent graduates face challenges in managing their expenses in alignment with the increasing living costs. Food expenses, even for common street food, continue to surge with no sign of decreasing, despite improvements in raw material costs. Pay-Attention is a website platform designed to help recent graduates gain insights into managing and optimizing their food expenses effectively. It provides guidance on how to spend wisely, ensuring cost-effectiveness while maintaining adequate daily nutritional intake, without falling into monotonous eating habits.
ด้วยสถานการณ์ “ค่าครองชีพ” ของประเทศไทยในปัจจุบันมีแนวโน้มพุ่งขึ้นสูงเรื่อยๆ นับตั้งแต่ ยุคหลังโควิด-19 แต่ฐานเงินเดือนและรายได้ของนักศึกษาจบใหม่ ก็ยังคงมีฐานเริ่มต้นเหมือนเดิม ไม่ต่างจากหลายปีก่อน เป็นผลทำให้ประชากรที่พึ่งสำเร็จการศึกษา ในประเทศไทยจำนวนไม่น้อย ประสบกับปัญหาเรื่องการจัดการค่าใช้จ่าย ให้สอดคล้องกับค่าครองชีพอย่างเหมาะสมในปัจจุบัน ทั้งค่าใช้จ่ายคงที่ และค่าใช้จ่ายผันแปร ที่แปรเปลี่ยนไปตามวิถีชีวิตของแต่ละคน มากน้อย ตามความต้องการและรสนิยม ซึ่งเป็นค่าใช้จ่ายที่ต้องระวังและควบคุมการใช้จ่ายอย่างมีสติเสมอโดยเฉพาะค่าใช้จ่ายเรื่องอาหารที่แม้แต่ตามสั่งทั่วไปก็พุ่งสูงขึ้นเรื่อยเรื่อยไม่มีท่าทีจะลดลงแม้ต้นทุนวัตถุดิบจะปรับปรุงก็ตาม
คณะวิศวกรรมศาสตร์
Motor control is a critical process for muscle contraction, which is initiated by nerve impulses governed by the motor cortex. This process is vital for performing activities of daily living (ADLs). Consequently, a disruption in communication between the brain and muscles, as seen in various chronic conditions and diseases, can impair bodily movement and ADLs. Evaluating the interaction between brain function and motor control is significant for the diagnosis and treatment of motor control disorders; moreover, it can contribute to the development of brain-computer interfaces (BCIs). The purpose of this study is to investigate brain activation in designed upper extremity motor control tasks in regulating the pushing force in different brain regions; and develop investigation methods to assess motor control tasks and brain activation using a robotic arm to guide upper extremity force and motor control. Eighteen healthy young adults were asked to perform upper extremity motor control tasks and recorded the hemodynamic signals. Functional Near-Infrared Spectroscopy (fNIRs) and robotic arms were used to assess brain activation and the regulation of pushing force and extremity motor control. Two types of motion, static and dynamic, move along a designated trajectory in both forward and backward directions, and three different force levels selected from a range of ADLs, including 4, 12, and 20 N, were used as force-regulating upper extremity motor control tasks. The hemodynamic responses were measured in specific regions of interest, namely the primary motor cortex (M1), premotor cortex (PMC), supplementary motor area (SMA), and prefrontal cortex (PFC). Utilizing a two-way repeated measures ANOVA with Bonferroni correction (p < 0.00625) across all regions, we observed no significant interaction effect between force levels and movement types on oxygenated hemoglobin (HbO) levels. However, in both contralateral (c) and ipsilateral (i) PFC, movement type—static versus dynamic—significantly affected brain activation. Additionally, cM1, iPFC, and PMC showed a significant effect of force level on brain activation.
คณะวิทยาศาสตร์
Albumin Smart Test is an innovative device for screening of kidney disease by mobile phone. The device composes of (1) container and testing device with specific reagents for the albumin detection. (2) The mobile phone, installed with "Albumin smart test" application. The test is started by dropping patient urine and the reagent. Color of the product is occurred and is captured by the application with subsequent evaluation of the albumin amount. The results is displayed on screen within 3 mins. This innovative device is simple, rapid and user-friendly.
คณะวิศวกรรมศาสตร์
This research aims to develop a portable prototype device for non-invasive blood glucose and vital sign monitoring, integrating Near-Infrared Spectroscopy (NIR) with biosensor systems and Artificial Intelligence (AI)-based data analysis. The device addresses the limitations of conventional blood-drawing methods that are impractical for elderly patients and those in remote areas. Designed to be user-friendly, low-cost, and capable of real-time result display, the device is intended for use in community-based healthcare settings such as local clinics and sub-district health promotion hospitals, with strong potential for future commercial development.