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Articles 931 - 960 of 6061
Full-Text Articles in Business
Liability For Oil Pollution Damage And Recommendations For Response In The Case Of The Non-Spilling Ship In Marine Collision Incidents, Shiwei Wei
World Maritime University Dissertations
No abstract provided.
Forecasting Stock Indices With The Covid-19 Infection Rate As An Exogenous Variable, Mohammad Saha A. Patwary
Forecasting Stock Indices With The Covid-19 Infection Rate As An Exogenous Variable, Mohammad Saha A. Patwary
School of Computing and Informatics
Forecasting stock market indices is challenging because stock prices are usually nonlinear and non- stationary. COVID-19 has had a significant impact on stock market volatility, which makes forecasting more challenging. Since the number of confirmed cases significantly impacted the stock price index; hence, it has been considered a covariate in this analysis. The primary focus of this study is to address the challenge of forecasting volatile stock indices during Covid-19 by employing time series analysis. In particular, the goal is to find the best method to predict future stock price indices in relation to the number of COVID-19 infection rates. …
Predictive Ai For The S&P 500 Index, Jacqueline Rose Perry
Predictive Ai For The S&P 500 Index, Jacqueline Rose Perry
Computer Science Senior Theses
Artificial intelligence has powerful applications in virtually every field, and the financial world is no exception. Utilizing various elements of artificial intelligence, this research aims to predict the future value of the S&P 500 index using numerous models, and in doing so, identify relevant features. More specifically, models that include combinations of historical data, public sentiment, and technical indicators were employed to predict the stock price one day and three days forward. To account for public opinion, the sentiment of tweets and news headlines from the beginning of 2015 through the end of 2019 was calculated using FinBERT, a pre-trained …
Secondary Features Of Importance For A Url Ranking, Atajan Abdyyev
Secondary Features Of Importance For A Url Ranking, Atajan Abdyyev
Dissertations and Theses
This paper investigates the impact of secondary ranking factors on webpage relevance and rankings in the context of Search Engine Optimization (SEO), focusing on the jewelry domain within the United States e-commerce market. By generating a keyword list related to jewelry and retrieving top URLs from Google's search results, the study employs machine learning models including XGBoost, CatBoost, and Linear Regression to identify key features influencing webpage relevance and rankings.The findings highlight specific optimal ranges for features like Outlinks, Unique Inlinks, Flesch Reading Ease Score, and others, indicating their significant impact on better rankings. Notably, Random Forest model performed best …
Why Reach Codes: Local Players Driving Statewide Building Standards, San Diego Regional Climate Collaborative, Gabriella Medina, Darbi Berry, Gabriela Yamhure
Why Reach Codes: Local Players Driving Statewide Building Standards, San Diego Regional Climate Collaborative, Gabriella Medina, Darbi Berry, Gabriela Yamhure
San Diego Regional Climate Collaborative
Reach codes are local energy ordinances that employ various technologies, strategies, and integrated systems that go above California Building Standards Code (CA Building Code, Title 24) standards and support greenhouse gas emission reduction efforts. A reach code is a mandated energy performance requirement for the built environment, typically incorporated as part of a city’s climate action plan, local hazard mitigation plan, or climate adaptation plan. Not only do reach codes help local jurisdictions remain in compliance with state mandates, they enable local climate leadership by signaling support for the future direction of state Building Code standards. This blog provides a …
Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu
Bayesian Optimization With Switching Cost: Regret Analysis And Lookahead Variants, Peng Liu, Haowei Wang, Wei Qiyu
Research Collection Lee Kong Chian School Of Business
Bayesian Optimization (BO) has recently received increasing attention due to its efficiency in optimizing expensive-to-evaluate functions. For some practical problems, it is essential to consider the path-dependent switching cost between consecutive sampling locations given a total traveling budget. For example, when using a drone to locate cracks in a building wall or search for lost survivors in the wild, the search path needs to be efficiently planned given the limited battery power of the drone. Tackling such problems requires a careful cost-benefit analysis of candidate locations and balancing exploration and exploitation. In this work, we formulate such a problem as …
Exploring The Presence Of Nonlinear Deterministic Dynamics In Commodity Prices, Sagar Dahal
Exploring The Presence Of Nonlinear Deterministic Dynamics In Commodity Prices, Sagar Dahal
Department of Agricultural Economics: Dissertations, Theses, and Student Research
Determining whether commodity prices (and volatility) are driven by linear stochastic processes or low-dimensional nonlinear deterministic dynamics (“chaos”) is crucial for policymaking, forecasting, production, storage, investment, risk management, and hedging decisions. Previous studies that used Lyapunov exponents and correlation dimensions to identify chaotic structures in price series may be unreliable in practical applications because these methods rely on asymptotic properties that require large, noiseless data which is often not available. We applied nonlinear time series analysis approaches to empirically detect the underlying market dynamics using the daily futures prices of ten agricultural commodities. We used phase space reconstruction to reconstruct …
Bibliometric Analysis Of Sustainability In Gastronomy Research, Nihan Akdemir, Bilsen Bilgili
Bibliometric Analysis Of Sustainability In Gastronomy Research, Nihan Akdemir, Bilsen Bilgili
University of South Florida (USF) M3 Publishing
Sustainability can be called the ability to be permanent. The economic, social and ecological dimensions of sustainability are important in terms of gastronomy. The rapid development of gastronomy in recent years has led many studies in literature to discuss gastronomy from different perspectives. The aim of this study is to reveal the development of national and international research on sustainability in gastronomy over the years with bibliometric analysis. In this context, Web of Science (WOS) and ULAKBIM TR-Dizin databases were examined in the analysis of the data until February 2023. For this purpose, articles were selected from the relevant sources …
Global Energy Consumption: An Analysis Of Variables That Shape Per Capita Usage, Or How Pump Price, Urbanization, And Fossil Fuels Imports Impact Fossil Fuels Consumption Per Capita Across Oecd Countries, Mila Demchyk Savage
Graduate Program in International Studies Theses & Dissertations
Among reasons explaining the importance of studying fossil fuel consumption are: crude oil is a subject of the international commodities market, thus, any fluctuation related to its' availability or price would impact the rest of the World; natural resources like oil, gas, and coal are limited; the extensive use of fossil fuels harms our surroundings, creating many environmental concerns; every human (on average) has been using more energy since 1971 and the trend is expected to continue. The upward trend is not consistent among individual countries. Therefore, the core question of my research is, `Why do some countries consume less …
Lean Manufacturing Approach To Increase Packaging Efficiency, Lina Gozali, Irsandy Kurniawan, Aldo Salim, Iveline Anne Marie, Benny Tjahjono, Yun Chia Liang, Aldy Gunawan, Nnovia Hardjo Sie, Yuliani Suseno
Lean Manufacturing Approach To Increase Packaging Efficiency, Lina Gozali, Irsandy Kurniawan, Aldo Salim, Iveline Anne Marie, Benny Tjahjono, Yun Chia Liang, Aldy Gunawan, Nnovia Hardjo Sie, Yuliani Suseno
Research Collection School Of Computing and Information Systems
The company upon which this paper is based engages in flexible packaging production, especially pharmaceutical products with guaranteed quality, trusted by consumers. Its production process includes printing, laminating, and assembling processes. Production activities are done manually and automatically using machines, so various types of waste are often found in these processes, making the level of plant efficiency nonoptimal. This study aims to identify wastes occurring in the production process, especially the production of pollycelonium with three colour variants as the highest demand product, by applying lean manufacturing concepts. The Current Value Stream Mapping (CVSM) used to map the production process …
Evolve Path Tracer: Early Detection Of Malicious Addresses In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Evolve Path Tracer: Early Detection Of Malicious Addresses In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Research Collection School Of Computing and Information Systems
With the boom of cryptocurrency and its concomitant financial risk concerns, detecting fraudulent behaviors and associated malicious addresses has been drawing significant research effort. Most existing studies, however, rely on the full history features or full-fledged address transaction networks, both of which are unavailable in the problem of early malicious address detection and therefore failing them for the task. To detect fraudulent behaviors of malicious addresses in the early stage, we present Evolve Path Tracer, which consists of Evolve Path Encoder LSTM, Evolve Path Graph GCN, and Hierarchical Survival Predictor. Specifically, in addition to the general address features, we propose …
Application Of Business Analytics Approaches To Address Climate-Change-Related Challenges, Donald J. Jenkins
Application Of Business Analytics Approaches To Address Climate-Change-Related Challenges, Donald J. Jenkins
Graduate Doctoral Dissertations
Climate change is an existential threat facing humanity, civilization, and the natural world. It poses many multi-layered challenges that call for enhanced data-driven decision support methods to help inform society of ways to address the deep uncertainty and incomplete knowledge on climate change issues. This research primarily aims to apply management, decision, information, and data science theories and techniques to propose, build, and evaluate novel data-driven methodologies to improve understanding of climate-change-related challenges. Given that we pursue this work in the College of Management, each essay applies one or more of the three distinct business analytics approaches (i.e., descriptive, prescriptive, …
The Future Of Cryptocurrency And Blockchain Technology In Finance, Wanyi Wong, Alan @ Ali Madjelisi Megargel
The Future Of Cryptocurrency And Blockchain Technology In Finance, Wanyi Wong, Alan @ Ali Madjelisi Megargel
Research Collection School Of Computing and Information Systems
Cryptocurrencies have been all the rage in recent years, with many being drawn to their appeal as speculative investment assets. Its proponents also champion the secure and decentralised nature of the technology it is based on, called the blockchain. Given the secure nature of blockchain technology, the idea of adopting cryptocurrencies as legal tender currency has also been mooted and experimented with – with the most famous example being the Central American nation of El Salvador’s bold move to adopting the cryptocurrency Bitcoin as legal tender in September 2021. In theory, this would provide a solution to the high transaction …
Mastering Stock Markets With Efficient Mixture Of Diversified Trading Experts, Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
Mastering Stock Markets With Efficient Mixture Of Diversified Trading Experts, Shuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An
Research Collection School Of Computing and Information Systems
Quantitative stock investment is a fundamental financial task that highly relies on accurate prediction of market status and profitable investment decision making. Despite recent advances in deep learning (DL) have shown stellar performance on capturing trading opportunities in the stochastic stock market, the performance of existing DL methods is unstable with sensitivity to network initialization and hyperparameter selection. One major limitation of existing works is that investment decisions are made based on one individual neural network predictor with high uncertainty, which is inconsistent with the workflow in real-world trading firms. To tackle this limitation, we propose AlphaMix, a novel three-stage …
Corporate Trade War Uncertainty And Patent Bubble, Xu Yang, Nan Hu, Peng Liang
Corporate Trade War Uncertainty And Patent Bubble, Xu Yang, Nan Hu, Peng Liang
Research Collection School Of Computing and Information Systems
This paper draws upon resource dependence theory and investigates how trade policy uncertainty affects firm strategic innovation management in China. Adopting a machine learning approach called Word2Vec from computational linguistics, we construct and validate a measure of firm-level managers’ perceived trade war uncertainty (TWU). We find that TWU has a positive effect on the number of total patent applications, but this positive effect is totally driven by low-quality patents instead of high-quality patents. Moreover, we document that firms have stronger incentives for such strategic innovation behavior when the underlying firms are more financially constrained, and/or when the management is more …
Foreword From Editor - 13th Edition, Yandi Andri Yatmo
Foreword From Editor - 13th Edition, Yandi Andri Yatmo
ASEAN Journal of Community Engagement
The current AJCE edition brings together meaningful discussions of community engagement programs as ways to disseminate various skills towards better society livelihood, focusing on product-making skills, women-led soft skills for families, and marketing skills. Elaborating on these objectives, this issue consists of four research-based articles and three case-based articles. The authors of this edition come from the background of economy, chemistry, community, psychology, and education—enabling diverse understanding of skills for the community and the means of how these skills can be acquired from different knowledge backgrounds.
Study On The Construction Of Public Information Platform For International Multimodal Transport : A Case Study Of Shanghai, Yijie Chen
World Maritime University Dissertations
No abstract provided.
Study On The Improvement Of Production Efficiency Of Major Container Terminals In China, Sheng Lin
Study On The Improvement Of Production Efficiency Of Major Container Terminals In China, Sheng Lin
World Maritime University Dissertations
No abstract provided.
Study On Overcapacity Of Liner Shipping : On The Transpacific Routes, Yuxin Pu
Study On Overcapacity Of Liner Shipping : On The Transpacific Routes, Yuxin Pu
World Maritime University Dissertations
No abstract provided.
Investigating The Determinants Of Ordering Alternative Fueled New Vessels, Yuantao Chen
Investigating The Determinants Of Ordering Alternative Fueled New Vessels, Yuantao Chen
World Maritime University Dissertations
No abstract provided.
Research On Investment Risk And Decision Making In Dry Bulk Ships : Case Study Nijie Shipping World Limited, Mingyu Xu
World Maritime University Dissertations
No abstract provided.
The Attempt And Operation Of Container Sharing Platform In The Yangtze River Delta : Efficient Transfer Of Empty Containers And Resources Sharing, Yifei Wei
World Maritime University Dissertations
No abstract provided.
Study On Container Linerroute Optimization Of Southeast Asia Route Of M Shipping Company, Lefan Liu
Study On Container Linerroute Optimization Of Southeast Asia Route Of M Shipping Company, Lefan Liu
World Maritime University Dissertations
No abstract provided.
She Is An Expert In This Research Field: The Signal Of Recent Publications' Relevance, Gil Zeevi, Osnat Mokryn
She Is An Expert In This Research Field: The Signal Of Recent Publications' Relevance, Gil Zeevi, Osnat Mokryn
Northeast Journal of Complex Systems (NEJCS)
Assessing the expertise of researchers has garnered increased interest recently. This heightened focus arises from the growing emphasis on interdisciplinary science and the subsequent need to form expert teams. When forming these teams, the coordinators need to assess expertise in fields that are often very different from theirs. The conventional reliance on signals of success, prestige, and academic impact can unintentionally perpetuate biases within the assessment process. This traditional approach favors senior researchers and those affiliated with prestigious institutions, potentially overlooking talented individuals from underrepresented backgrounds or institutions. This paper addresses the challenge of determining expertise by proposing a methodology …
How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio
How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio
Journal of Applied Disciplines
Exasperated by the ongoing global pandemic, the healthcare system is grappling with the formidable challenges posed by proper and effective disease treatments. Nevertheless, amidst these growing difficulties, the healthcare field has witnessed significant technological advancements, offering promising avenues for disease prediction. Notably, a positive correlation exists between the utilization of technologies and their potential to serve as valuable tools for disease prediction. As our reliance on technological sophistication continues progressing, current research highlights numerous viable options to augment the healthcare sector. This review explores the current state of utilizing technologies and their potential to enhance healthcare, shedding light on their …
Using Machine Learning Techniques To Model Encoder/Decoder Pair For Non-Invasive Electroencephalographic Wireless Signal Transmission, Ernst Fanfan
Master of Science in Computer Science Theses
This study investigated the application and enhancement of Non-Invasive Brain-Computer Interfaces (NI-BCIs), focused on enhancing the efficiency and effectiveness of this technology for individuals with severe physical limitations. The core research goal was to improve current limitations associated with wires, noise, and invasive procedures often associated with BCI technology. The key discussed solution involves developing an optimized Encoder/Decoder (E/D) pair using machine learning techniques, particularly those borrowed from Generative Adversarial Networks (GAN) and other Deep Neural Networks, to minimize data transmission and ensure robustness against data degradation. The study highlighted the crucial role of machine learning in self-adjusting and isolating …
The Role Of English Language Courses In Media Colleges In Providing Their Graduates With Labor Market Skills: An Applied Study On Graduates Of Middle East University, Mazen Al-Fedawi Dr.
The Role Of English Language Courses In Media Colleges In Providing Their Graduates With Labor Market Skills: An Applied Study On Graduates Of Middle East University, Mazen Al-Fedawi Dr.
Middle East Journal of Communication Studies
The study aimed to identify the degree of contribution of English language courses in providing graduates with the necessary skills by achieving the specifications of the graduate of the Faculty of Mass Communication required in the labor market, and the degree of their acquisition of the professional skills required in the labor market. It also aimed to explore whether there are differences between the acquisition of labor market skills among graduates of mass media faculties due to variables, type of specialization, number of years of work, and gender. The study achieved these objectives through an applied survey study on an …
Skills That Help Employ Media Graduates In The Labor Market From The Point Of View Of Practicing Media Professionals., Mahmoud Al-Rajabi Dr.
Skills That Help Employ Media Graduates In The Labor Market From The Point Of View Of Practicing Media Professionals., Mahmoud Al-Rajabi Dr.
Middle East Journal of Communication Studies
The study aimed to reveal the most important skills that help to employ graduates of media faculties in the labor market from the point of view of media practitioners. The study used two approaches, the qualitative methodology and the inductive approach, by conducting in-depth interviews with seventeen media practitioners in Jordan, and the sample was taken in an intentional way. The results of the study showed that the skills that a media graduate should possess are both pure media skills and other skills such as research skills, critical thinking skills, content building skills, interpersonal skills, Arabic and media language skills, …
The Academic Training In Media Faculties And Its Implications For Professional Practice: A Field Study On Media Practitioners In Jordanian Media Institutions, Ramez Abuhasirah Dr.
The Academic Training In Media Faculties And Its Implications For Professional Practice: A Field Study On Media Practitioners In Jordanian Media Institutions, Ramez Abuhasirah Dr.
Middle East Journal of Communication Studies
This study aimed at identifying the reflection of media academic education on professional practice. The study adopted the audience survey method. A questionnaire was distributed to an available sample of (102) professionals in Jordanian media institutions who hold a media certificate. The study’s results showed that the primary academic education of media professionals was represented in: “the predominance of theoretical aspects over practical aspects in academic courses,” with a mean of (4.30). In contrast, the media skills and practical professional training of professionals in Jordan’s media institutions were represented in: “the reflection of media training on the professional performance of …
The Role Of Practical Courses In The Faculty Of Media At The Middle East University In Providing Graduates With Labor Market Skills, Ahmad Oreqat Dr., Ramez Abuhasirah Dr.
The Role Of Practical Courses In The Faculty Of Media At The Middle East University In Providing Graduates With Labor Market Skills, Ahmad Oreqat Dr., Ramez Abuhasirah Dr.
Middle East Journal of Communication Studies
The study aimed at identifying the role of the practical courses at the Faculty of Media at the Middle East University in providing its graduates with skills in the media labor market. The study adopted the media audience survey method. A questionnaire was distributed to an available sample of (48) graduates of the Faculty of Media at Middle East University who practice the media profession. The results showed that practical study courses’ contribution to providing graduates with the required specifications in the labor market came to a high degree, as the most important of these specifications were: “decent and acceptable …