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IOT Battery solution

Abstract

Design and Development of a Remote Battery Management System This research focuses on the design and development of a battery management system that enables remote monitoring and control, allowing users to customize battery cell properties as needed. The system is specifically designed for use with graphene battery cells and can be effectively applied to alternative energy systems for residential use.

Objective

1. เพิ่มประสิทธิภาพการจัดการพลังงาน – ระบบบริหารจัดการแบตเตอรี่ที่สามารถควบคุมและมอนิเตอร์ระยะไกลช่วยให้สามารถจัดการพลังงานได้อย่างมีประสิทธิภาพ ลดการสูญเสียพลังงาน และเพิ่มอายุการใช้งานของแบตเตอรี่ 2. รองรับเทคโนโลยีแบตเตอรี่กราฟีน – แบตเตอรี่กราฟีนมีศักยภาพสูงในการเก็บพลังงานและมีอายุการใช้งานยาวนาน โครงการนี้ช่วยทดสอบและพัฒนาการนำแบตเตอรี่กราฟีนไปใช้ในระบบพลังงานทางเลือก 3. เพิ่มความสะดวกและความปลอดภัยในการใช้งาน – การควบคุมและมอนิเตอร์แบตเตอรี่จากระยะไกลช่วยลดความเสี่ยงจากการเกิดปัญหาทางเทคนิค เช่น การชาร์จไฟเกินหรืออุณหภูมิสูงเกินไป ทำให้ระบบมีความปลอดภัยมากขึ้น 4. ส่งเสริมการพัฒนาเทคโนโลยีภายในประเทศ – โครงการนี้ช่วยสนับสนุนการพัฒนาเทคโนโลยีแบตเตอรี่และระบบบริหารจัดการพลังงานภายในประเทศ ลดการพึ่งพาเทคโนโลยีจากต่างประเทศ และเพิ่มขีดความสามารถในการแข่งขันด้านพลังงาน

Other Innovations

Organic fertilizer products from horse manure

วิทยาลัยการจัดการนวัตกรรมและอุตสาหกรรม

Organic fertilizer products from horse manure

This research aims to study the waste management process of horse manure, the production process of organic fertilizer from horse waste, and opinions on the use of innovative organic fertilizer from horse manure. A mixed-method approach, combining qualitative and quantitative research, is employed. The organic fertilizer is produced from horse manure, which is a waste that incurs disposal costs. Through the fermentation process, it is transformed into an environmentally friendly fertilizer containing essential nutrients beneficial to plants. According to the laboratory analysis of the organic fertilizer conducted by the Soil Science Laboratory, Faculty of Agricultural Technology, King Mongkut's Institute of Technology Ladkrabang, it was found that organic fertilizer from horse manure contains essential nutrients for plant growth, including macronutrients, secondary nutrients, and micronutrients. This reflects the potential of horse waste management, the production process of organic fertilizer from horse manure, the efficiency of the organic fertilizer, and strategies for adding value to expand its commercialization.

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TOOTHBRUSH APPEARANCE FACTORS THAT AFFECT BABY BOOMERS' PURCHASING DECISIONS

คณะสถาปัตยกรรม ศิลปะและการออกแบบ

TOOTHBRUSH APPEARANCE FACTORS THAT AFFECT BABY BOOMERS' PURCHASING DECISIONS

This study aims to identify the toothbrush appearance factors that affect baby boomers purchasing decisions. The research divide into three stages: The first stage is to classify the toothbrush appearance factors through a review of literature, research, and examining toothbrushes currently available on the market, summarizing them as appearance factors. The second stage is to summarize the results of the toothbrush appearance factors to create a multiple-choice questionnaire in three dimensions: purchasing decisions, aesthetics, and functionality. Collecting data from a group of 30 Baby Boomers aged 57-75 years old. The last stage is to summarize the three dimensions of appearance factors affecting baby boomers' toothbrush purchasing decisions and report as percentages and rank them. The research findings indicate that the most significant toothbrush appearance factor is a "Curved handle," accounting for 80%, followed by “Multi-level bristles” at 70%, a "Rubber thumb rest" at 53.3%, "Handle divided into more than two parts" at 50%, and “Offset shape” at 40%, respectively. In terms of the reason for purchasing decision based on various factors are as follows: the curved handle and offset shape give a sense of purchase with its aesthetic, While the selection of multi-level bristles, the Rubber thumb rest, and the handle divided into more than two parts due to functionality.

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In Silico Drug Discovery of Emerging Immune Checkpoint TIGIT-Binding Compounds for Cancer Immunotherapy: Computational Screening, Docking Studies, and Molecular Dynamics Analysis

คณะวิทยาศาสตร์

In Silico Drug Discovery of Emerging Immune Checkpoint TIGIT-Binding Compounds for Cancer Immunotherapy: Computational Screening, Docking Studies, and Molecular Dynamics Analysis

Cancer remains a major global health challenge as the second-leading cause of human death worldwide. The traditional treatments for cancer beyond surgical resection include radiation and chemotherapy; however, these therapies can cause serious adverse side effects due to their high killing potency but low tumor selectivity. The FDA approved monoclonal antibodies (mAbs) that target TIGIT/PVR (T-cell immunoglobulin and ITIM domain/poliovirus receptor) which is an emerging immune checkpoint molecules has been developed; however, the clinical translation of immune checkpoint inhibitors based on antibodies is hampered due to immunogenicity, immunological-related side effects, and high costs, even though these mAbs show promising therapeutic efficacy in clinical trials. To overcome these bottlenecks, small-molecule inhibitors may offer advantages such as better oral bioavailability and tumor penetration compared to mAbs due to their smaller size. Here, we performed structure-based virtual screening of FDA-approved drug repertoires. The 100 screened candidates were further narrowed down to 10 compounds using molecular docking, with binding affinities ranging from -9.152 to -7.643 kcal/mol. These compounds were subsequently evaluated for their pharmacokinetic properties using ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) analysis, which demonstrated favorable drug-like characteristics. The lead compounds will be further analyzed for conformational changes and binding stability against TIGIT through molecular dynamics (MD) simulations to ensure that no significant conformational changes occur in the protein structure. Collectively, this study represents the potential of computational methods and drug repurposing as effective strategies for drug discovery, facilitating the accelerated development of novel cancer treatments.

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