10178 research outputs found
Sort by
Enhancing Cryptocurrency Security and Trend Prediction Using XGBoost: An AI-Driven Approach
Full text linkCryptocurrency, a digital currency secured by cryptography, has soared in popularity since the introduction of Bitcoin in 2009. While offering benefits like decentralization and faster transactions, it also faces challenges such as security threats and market volatility. Artificial intelligence (AI) presents a promising solution to enhance security and predict trends in the cryptocurrency market. This thesis explores how AI can be utilized to strengthen the security of cryptocurrency transactions and predict market trends. By analyzing current security measures, AI-driven approaches, and predictive models, this study aims to contribute to the development of innovative solutions for navigating cryptocurrency
Tackling Crime: A Data-Driven Comparison of NFL Players with the General Population
Full text linkThis research investigates the frequency of arrests among NFL players compared to the general population and analyze the types of crimes committed. A main theme from the literature is that previous groups of NFL players were found to be arrested at a rate lower than the general population. However, there has been no analysis on how the COVID-19 pandemic impacted the crime rates and types. Data obtained from the FBI’s Uniform Crime Report, The U.S Census Bureau, an NFL arrest database, and player statistics from Pro Football Reference is used for the analysis. The data is analyzed with a rate model, change over time graphs, and hypothesis testing. The findings show that NFL players are arrested at a lower rate than the general public, with little variance in types of crimes committed
Grunting Increases Power Production and Vertical Jump Height in Experienced Martial Artists
Full text linkMuscular power is a critical determinant of performance in athletic competitions and thus identifying methods to maximize this attribute is imperative. Grunting (GR) may be an effective way to increase power during high-velocity, explosive movements. The purpose of the current investigation was to determine the effects of GR on muscular power output. Twenty-four subjects were recruited from a local martial arts academy. Each subject had a minimum of 2 years of martial arts experience. The performance measures included five maximal cross punches (CR) and roundhouse kicks (RH) to determine peak power output and three countermovement vertical jumps (CMJ) and seated landmine throws (SLT). In randomized order, subjects performed these tests under three breathing conditions which included held breath (HB), audible exhale (AE), and GR. When compared to AE and HB conditions, GR increased CR and RH power output and CMJ height but not SLT. Grunting is effective at increasing force production during striking in experienced martial artists
Auditors\u27 Decision-Making Aid for Going Concern Audit Opinions Through Machine Learning Analysis
Full text linkCarbon-Climate Coupling Dynamics Revealed by Decadal-Resolution Middle Miocene Records
No full textContemporary global warming is known to lag behind the rapid increase in atmospheric CO2 levels. This delay, largely due to heat uptake and storage in the vast ocean interior, remains one of the key uncertainties in projecting climate change in future decades. Here, we present decadal-resolution paleoclimate reconstructions of atmospheric CO2 and temperature to evaluate the carbon-climate coupling dynamics over an approximately 700-year time window of the middle Miocene, 16 million years ago. The middle Miocene is characterized by perturbations in the global carbon cycle caused by volcanic degassing, and global warming of about 6ºC relative to today. By analyzing fossil leaves and lipid biomarkers from the annually-varved Clarkia Lake deposit in Idaho, USA, we establish concurrent and continuous CO2 and temperature records that capture short-term fluctuations superimposed on long-term warming and CO2 increasing trends. Statistical analysis shows that CO2 consistently lead temperature variation on a multi-decadal scale. Climate model emulators further confirm the role of ocean heat storage in shaping this delayed transient response. High temporal resolution reconstructions can provide constraints on Earth’s climate changes from a distant greenhouse world yet on societally relevant time scales, offering critical insights to improve our understanding of carbon-climate coupling dynamics. Such paleoclimate constraints are crucial for reducing uncertainties in projecting the near-term climate change under increasing CO2 levels