Wonhee Lee
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Articles by Wonhee Lee
IoT-enabled wireless neural implant for chronic, programmable neuropharmacology and optogenetics
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Wireless in vivo neuropharmacology and optogenetics offer a powerful way to link molecular signaling, defined neural populations, and behavior in freely moving animals.
Spicy food intake and dietary factors shape the gut microbiome and metabolism of mucin and short-chain fatty acids in healthy adults
Abstract Whether spicy food intake independently modulates mucin metabolism and short-chain fatty acid (SCFA) production or depends on co-ingested factors such as alcohol remains poorly understood. Herein, shotgun metagenomics characterized gut microbial composition, functional pathways, and their relationship with spicy food intake, alcohol consumption, and intestinal fatty acid–binding protein (I-FABP) and liver fatty acid–binding protein (L-FABP) levels in 229 healthy Korean adults.
Microfluidic Solid-State pH Sensor for Dynamic Monitoring of Extracellular pH in Live Cell Cultures
Abstract Click to copy section linkSection link copied! Accurate, real-time monitoring of the extracellular acidification is crucial for understanding the dynamics of cellular metabolism. Here, we present a microfluidic device with a solid-state potentiometric pH sensor for monitoring the extracellular acidification rate (ECAR) in live cell culture. The sensor employs a two-electrode configuration made up of Ag/AgCl and RuO2 electrodes.
“Personal Financial Dashboard With Predictive Insights”💎✨
Can you draw a roadmap of exactly where your money goes each month? If you can visualize clearly, you are able to predict your financial future. A personal finance dashboard is a real-time interactive visualization tool that shows actionable insights in one place and consolidates your income, expenses, debts, savings and investments.
“Inside the Mind of the FinTech User: Visualizing Customer Behaviour”💎
What drives one user to consistently return to a fintech app every day, while another user stops using the app after just one transaction? The answers lie within their data, which can unveil the behind-the-scenes details. Understanding the identity of your customers and how they engage with the app is crucial to enhancing user experience, retention, and revenue.
“The AI Whisperer’s Guide: Crafting Prompts Breakthrough Data Visualizations in FinTech”💸
In the dynamic world of FinTech, data is king, but insights are the crown jewels. Data visualizations are crucial for simplifying complex datasets, fostering trust, and driving strategic decisions. Therefore, they should be clear, persuasive, and provide accessible and actionable insights for audiences. However, extracting meaningful insights from the massive and complex FinTech data is a challenge.
“Predictive Power Unleashed: Building Robust Regression Models with Smart Prompt Engineering”🤖
Do you believe that your regression models are truly reaching their full potential? The challenge arises from the complexities of building accurate and reliable regression models — the wide range of options available and the time-consuming iterative process. A regression model is a statistical method that presents the relationship between a dependent variable and one or more independent variables. Its purpose is to predict the continuous outcomes or explain the dependent variable.
“Navigating Inferential Statistics: From Correlation to Causation through Prompt-Driven Hypothesis Testing”🤖👩💻
A convenience store owner notices a spike in chocolate sales around Valentine’s Day week — is this correlation or causation? How can this be proven? The challenge lies in transitioning from observing correlations to establishing causation in data analysis. Correlation refers to the relationship between two variables changing together in a positive or negative direction, while causation involves one variable directly influencing another. indicating a cause-and-effect relationship.
“Harnessing Prompt-Driven Analytics: Sharpening Skills And Entering Machine Learning!” 🤖
This is an exciting opportunity to demonstrate how we can adapt and apply prompts in the real world to transform many problems that require solutions. Prompt-driven machine learning is an intuitive approach that can change our workflow through an interactive interface. This is a starting point where we can collaborate with AI and craft prompts to guide AI in our tasks. Before starting the project, I will briefly touch on how you can unify the prompt arsenal.
“Human-AI Collaboration Through Advanced Prompt Engineering”🚀
In a world where AI becomes a part of a team, the ability to communicate effectively with it will be a game-changer. Clear, strategic communication through prompts can guide AI in the way that you want to achieve. Prompt engineering is emerging in the AI-driven workplace, as AI is versatile in writing code, creating content, analyzing data automatically, and generating designs. The rise of AI as a collaborative assistant allows us to expand our creativity, imagination, and potential.
“Advanced Prompt Strategies: Unleashing Machine Learning for Deeper Analysis”🤖
Integrating AI tools paired with prompt-based techniques has emerged as a way to leverage large language models and machine learning. These AI tools are versatile in various applications in real-world, as they can drive the ML process through natural language prompts. Therefore, understanding how to effectively communicate with AI tools is a critical skill for everyone. This content explores the techniques that can unlock machine learning pipelines using advanced prompt strategies.
“Automating Insights: Building Prompt-Driven Analytical Pipelines” 🚀
Delivering faster, smarter insights is crucial for businesses operating in the constantly transforming AI age. Prompt-driven analytical pipelines are a streamlined method to automate and scale insight generation. Integrating analytical workflows into AI increases productivity by reducing manual work for data preprocessing, creating visuals and delivering insights. It allows analysts to focus on developing more strategic approaches.
“🚀Supercharge Your Insights: Prompt Strategies for Optimization and Complex Analysis”
Have you ever felt daunting when working with AI on your data science project? You may wish your interactions with AI could unlock deeper, more actionable insights for your specific projects. In the age of integrated AI in workflows, the quality of an AI system relies on the quality of the data you input. As the saying goes, “Garbage in, garbage out.” Data quality and prompts impact on an AI’s responses. Well-crafted prompts drive deeper and more accurate results.
“Decoding Data: AI-Powered Statistical Analysis”🚀
A good prompt for statistical analysis should be clear, specific, and well-structured to ensure accurate and meaningful outputs. 📍The key elements of an effective prompt: Define the goal: Clearly state what you want to achieve. Provide context: What is the data about? What is the research question or hypothesis? Specify the statistical method: Mention which statistical test or analysis is needed. Format output: How should the results be presented?
“Unlock Hidden Patterns: Prompt Techniques for Exploratory Data Analysis (EDA)”🚀
Stories are hidden in raw data. We can discover hidden stories through EDA process. By applying exploratory data analysis technique, users can uncover surprising patterns, relationships, and anomalies that build effective business strategies leading to a significant boost in revenue. But what if we could supercharge the EDA process with AI? With prompt-driven context discover hidden data patterns by guiding AI. AI-driven data exploration can transform raw data into actionable strategies.
“From Question to Insight: Mastering Data Queries Through Prompts” 🤖
In today’s data-driven world, the way you ask questions determines the quality of the insights you receive. Whether you’re querying a SQL database, interacting with a BI tool, or using an AI model to analyze your data, well-crafted prompts can unlock valuable discoveries. This guide delves into key principles and best practices for refining queries, enabling users to transform simple requests into meaningful, actionable insights.
Ask and You Shall Receive: Mastering Basic Data Exploration with Prompts
Have you ever had to tackle problems during exploratory data analysis involving multiple files in a large dataset? Even if you’re unsure where to begin, how to write code in programming languages like Python, R, and SQL, or how to set up environments for data analysis. Here is a “Magic Wand” that allows you to complete these processes without any code. Simply use natural language prompts with advanced AI tools based on LLMs. It serves as a powerful shortcut for initial exploration.
Understanding the AI Engine: How Prompt Parameters Shape Your Results🧑🎨🎨🤖
Prompting is more than just asking questions to AI; it’s about designing what you would like to create with AI collaboratively. It’s the creation that can bring prompts to life. Prompt engineering utilizes large language models (LLMs) as complex systems that generate text based on the probabilities of prompt parameters. Prompt parameters act as the control knobs that enable users to guide the AI’s generation process beyond the initial text input.
Data Analytics Demystified: Your First Steps with Smart Prompting 👩💻🤖🚀
Do you have an overwhelming feeling when learning about tools, code, and complex processes of data analytics? What if you could simply learn it in plain English and gain meaningful insights? In today’s data-fueled world, data is often referred to as the new currency that impacts every aspect of our lives, influencing our decision-making, productivity, problem-solving, and more.
RBP4 functions as an antagonistic ligand of orphan DR6
Abstract Death receptor (DR) is a unique transmembrane receptor mediating extrinsic factor-induced programmed cell death pathways. For most DRs, the regulatory mechanism has been revealed to involve agonistic death ligand (e.g., TRAIL, TNF-alpha)-driven receptor clustering and activation, offering an in-depth understanding of the mechanistic basis for cell death regulation and therapeutic strategies.
Thermal Infrared Orthophoto Geometry Correction Using RGB Orthophoto for Unmanned Aerial Vehicle
Open AccessArticle by Kirim Lee Kirim Lee Scilit Preprints.org Google Scholar 1 and Wonhee Lee Wonhee Lee Scilit Preprints.org Google Scholar 2,* 1 Research Institute of Artificial Intelligent Diagnosis Technology for Multi-Scale Organic and Inorganic Structure, Kyungpook National University, Sangju 37224, Republic of Korea 2 Department of Location-Based Information System, Kyungpook National University, Sangju 37224, Republic of Korea * Author to whom correspondence should be addressed.
Latent magmatism beneath the Korean Peninsula caused by asthenosphere upwelling - Communications Earth & Environment
Abstract Volatiles such as helium and carbon dioxide provide insights into geological processes spanning from the Earth’s deep interior to its surface. Integration with geophysical data providing enhanced vertical resolution with a wider horizontal range better elucidates the mantle dynamics and its interactions with the crust. Here we present geochemistry of volatiles dissolved in fluid samples from fault-related springs, thermal spa waters, and groundwaters across the Korean Peninsula.
ESG and Financial Performance of China Firms: The Mediating Role of Export Share and Moderating Role of Carbon Intensity
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
ESG and Financial Performance of China Firms: The Mediating Role of Export Share and Moderating Role of Carbon Intensity
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 2 May 2024 / Approved: 3 May 2024 / Online: 3 May 2024 (07:43:53 CEST) Ding, H.; Lee, W. ESG and Financial Performance of China Firms: The Mediating Role of Export Share and Moderating Role of Carbon Intensity. Preprints 2024, 2024050170. https://doi.org/10.20944/preprints202405.0170.v1 Ding, H.; Lee, W.
Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Son Heung-min and Kyle Walker's Friendly Prank Delights Fans
Son Heung-min and Kyle Walker Share a Warm Moment During Tottenham-Man City Match In a heartwarming display of camaraderie, Son Heung-min and Kyle Walker, former teammates at Tottenham Hotspur, were seen sharing a playful moment during the recent Tottenham-Manchester City match. The footage captured by British media outlet The Boot Room showed Son Heung-min approaching Walker, who was holding the ball, and playfully nudging him with his shoulder.
Mid-old cells are a potential target for anti-aging interventions in the elderly - Nature Communications
Abstract The biological process of aging is thought to result in part from accumulation of senescent cells in organs. However, the present study identified a subset of fibroblasts and smooth muscle cells which are the major constituents of organ stroma neither proliferative nor senescent in tissues of the elderly, which we termed “mid-old status” cells.
Conflicts Emerge between Coach Tuchel and Bayern Munich Players: Is the Team in Turmoil?
Conflict Arises Between Bayern Munich Coach Thomas Tuchel and Players Bayern Munich, led by coach Thomas Tuchel (50), is currently experiencing internal tensions, according to sports expert Get Football. It appears that Munich players are starting to feel alienated due to the coach’s communication style. Tuchel has been observed favoring certain players, such as Harry Kane and Leroy Janet, while neglecting others who do not start on a regular basis.
Japanese Striker Kaoru Mitoma Renews Contract with Brighton for Four More Years, Rejects Big Club Offers
Japanese Striker Kaoru Mitoma Renews Contract with Brighton for Four More Years Brighton & Hove Albion has announced that Japanese striker Kaoru Mitoma has signed a contract extension, committing his future to the club for the next four years. Mitoma, who had attracted interest from other major clubs, has rejected their advances and chosen to stay with Brighton.
11 bit Studios Unveils "The Alters" in New Trailer: A Mysterious Sci-Fi Adventure
11 bit studios has announced its plans to unveil the first image of its upcoming game, ‘The Alters’, through a brand new trailer video. This mysterious sci-fi adventure is based on an original IP and promises to captivate gamers with its intriguing storyline. The trailer, which runs for a total of 2 minutes, showcases the game’s enigmatic graphics, as well as the branching paths that players can take to shape their own unique narrative.
Incremental Learning for Online Data Using QR Factorization on Convolutional Neural Networks
4. Experiments and Results In our experiment, even though the proposed method can be applied to any kind of deep convolutional neural network, we apply our framework on VGGNet 16 layer D model [29] as an example case. The VGGNet consists of 13 convolutional layers and 3 fully connected layers. Our experiment is performed on the output features of the 15th layer and the output weights of the network. We use pre-trained weights of the model for the ILSVRC2012 [30] dataset.
Politician Makes History with Hat Trick in Gimcheon Sangmu's Victory
Politician Scores Hat Trick as Gimcheon Sangmu Secures Victory By Wonhee Lee, Published on September 23, 2023 In a thrilling match against Anyang FC in the 33rd round of the Hana One League QK 2 2023, Gimcheon Sangmu emerged victorious with a 4-1 win at the Gimcheon Sports Complex. The standout performance of the day came from Politician, who scored a hat trick, while Park Min-gyu also contributed with a crucial goal.
Manchester United Fans Express Frustration as Manager Eric Ten Haag Faces Criticism
Manchester United Fans Express Frustration Towards Manager Eric Tenhag After Another Disappointing Loss MANCHESTER, ENGLAND – The anger among Manchester United fans reached its peak as they directed their frustration towards manager Eric Tenhag following yet another subpar performance by the team. In their recent match against Brighton & Hove Albion, held at the iconic Old Trafford, Manchester United suffered a disappointing 1-3 defeat.
Coach Hansi Flick Resigns from German National Team: First National Team Coach to be Sacked in 97-Year History
German National Team Coach Hansi Flick Dismissed The German Football Association has announced the dismissal of coach Hansi Flick, making him the first national team coach to be sacked since the association’s founding in 1926. Flick, who took charge of the German national team in July 2021, had a disappointing record of 12 wins, 7 draws, and 6 losses in 25 matches, failing to establish a strong team and ultimately leading to their relegation.
Developing an LADM Valuation Information Model for Mongolia
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Comments on Effect of Salts on TBAB Semi Clathrate Hydrate Formation: Application to Produced Water Desalination
The paper entitled “Effect of Salts on TBAB Semi Clathrate Hydrate Formation: Application to Produced Water Desalination” by Alhejaili et al.(1) investigated hydrate-based desalination of produced water using tetra-n-butylammonium bromide (TBAB) as a semiclathrate hydrate former.
Catholyte-free electroreduction of CO2 for sustainable production of CO: Concept, process development, techno-economic analysis, and CO2 reduction assessment
Catholyte-free electroreduction of CO2 for sustainable production of CO: Concept, process development, techno-economic analysis, and CO2 reduction assessment Electrochemical CO2 reduction (ECO2R) is considered as one of economically viable means to convert CO2 into useful products, for achieving carbon neutrality in the future. Many studies have been conducted on developing and evaluating electrochemical cells that provide high energy efficiency and conversion of CO2 for CO production via ECO2R.
Enhancement of inflection point focusing and rarecell separations from untreated whole blood
Enhancement of inflection point focusing and rarecell separations from untreated whole blood Inertial microfluidic systems have been widely used for particle or cell separation applications, especially for rare-cell enrichment and separation from blood due to the high throughput and simplicity of the systems.
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