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Developing A Controlled Traffic (Tramline) Farming System, Department Of Primary Industries And Regional Development, Western Australia

Grains and other field crops factsheets

Controlled traffic farming (CTF) is a farming system built on permanent wheel tracks where the crop zone and traffic lanes are permanently separated. It can improve profitability and sustainability.

Implements for seeding, spraying, spreading and harvesting have a particular span, or multiple of it, and all wheel tracks are confined to specific traffic lanes.

CTF increases profit by more yield, better grain quality, improved operation timeliness, and reduced costs. The environment can improve, with less nutrient leaching, less water erosion, better water infiltration, and less greenhouse gas emission. Implementation needs a clear, long-term plan, and prioritisation of soil health.

Another …

Syllabus: Workplace Motivation, Alice M. Brawley Newlin

Open Syllabus Collection

This syllabus is for an upper-level undergraduate class in workplace motivation that utilizes a combination of open, free, and library-licensed material. The course is designed to provide students with a “toolbox” of work motivation theories to critically select from and use well. This open syllabus also includes an annotated reading list with stable links to materials and availability notes.

Unveiling Key Features: A Comparative Study Of Machine Learning Models For Alzheimer's Detection, Cailean Bushnell

All Graduate Reports and Creative Projects, Fall 2023 to Present

This thesis rigorously evaluates the application of an array of natural language processing (NLP) techniques and machine learning models to identify linguistic signatures indicative of dementia, as sourced from the DementiaBank Pitt corpus. Utilizing a binary classification paradigm, this study meticulously integrates sophisticated embedding methods—including Doc2Vec, Word2Vec, GloVe, and BERT—with traditional machine learning algorithms such as Random Forest, Multinomial Naïve Bayes, ADA boost, KNN classifier, and Logistic Regression, alongside deep learning architectures like LSTM, Bi-LSTM, and CNN-LSTM. The efficacy of these methodologies is evaluated based on their capacity to differentiate between transcribed speech impacted by dementia and that from control …

Balancing The Scales: Evaluating Variables Of Greatest Impact To Profit Margins When Finishing Cattle, Ryan Bake

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study examines the risk associated with finishing cattle in a feedlot, specifically in the context of historically high cattle prices and quality grade grid marketing systems that have not adjusted to these elevated prices. The analysis also looks at performance factors that drive profitability differences in pens of cattle in a commercial feedlot, and how market factors also impact profitability. Regression analysis determines the significance of performance variables such as days on feed, average daily gain, feed conversion rates, and carcass characteristics on pen profitability. The impact of cattle breeding and pre-feedlot management of the cattle are also considered …

Analyzing Market Dynamics: Effects On Quality Grade Premiums And Discounts For Alfalfa Hay, Colby Wilkins

All Graduate Reports and Creative Projects, Fall 2023 to Present

This paper looks at how market strength affects the price premiums and discounts associated with alfalfa hay quality grades. Previous research has mainly focused on how attributes of alfalfa hay influence the price received. In this study, we use ordinary least squares linear regression and visual data representations to examine the effects of market strength on price received in conjunction with hay quality. The results demonstrate that during periods of relatively high average prices of alfalfa hay there is no significant impact on the average premiums and discounts associated with hay quality. However, during periods of relatively low average prices, …

Volume 26, Issue 2 (Special Issue) -- Full Contents

Midwest Social Sciences Journal

No abstract provided.

How Supply Chains Respond To Disruptions: Three Essays On Responses To Operational, Geopolitical, And Natural Disaster Disruptions, Travis Kulpa

Graduate Theses and Dissertations

The ability to respond to supply chain disruptions efficiently and effectively is a highly sought after capability, particularly in light of recent events such as the COVID-19 pandemic, geopolitical conflicts, and major natural disasters. These events have led researchers, practitioners, and policymakers to ask: how can we better use our resources to respond to supply chain disruptions? This dissertation examines responses to the three main types of supply chain disruptions: operational disruptions, geopolitical disruptions, and natural disasters. The first study examines how US importers adjust between air and containerized transportation in response to shipment delays and abnormally high demand from …

Competing In Innovation-Intensive Environments: The Role Of Soft Power, Learning, And Ceo Heuristics, Cristina O. Vlas, Bruno Barreto De Góes, Radu E. Vlas, Eugene See

Management and Decision Sciences

We start by exploring how the interplay of soft power and learning levers helps firms address competitive uncertainty in innovation-intensive environments (IIEs). We then theorize that firms’ motivation to pursue a specific combination of soft power and learning tactics in IIEs is shaped by CEO regulatory focus. The analysis of a panel of IIE firms supports our theorizing and reveals that accounting for CEO regulatory focus is elemental to the understanding of firms’ performance heterogeneity in such environments. We conclude that a perspective focused on a combination of soft power and learning tactics is better fitted to explain firms’ performance …

Ai-Driven Cybersecurity Threats And Organizational Consequences, Apeksha Kale

Electronic Theses, Projects, and Dissertations

ABSTRACT

This project used a case study research strategy to investigate the impact of AI-driven cybersecurity threats on organizations. The research questions are: Q1: How can different types of organizations improve their defenses against AI-driven cybersecurity attacks? Q2: How will future hackers most likely access AI tools, and what AI tools will they use? Q3: What strategies can organizations implement to enhance resilience against phishing emails? Three Case Studies were selected and analyzed to answer the three research questions. The findings are Q1: AI-driven cyberattacks pose significant risks, but organizations can improve defenses by investing in AI technologies like Vectra …

Corn Leaf Disease Prediction Using Deep Learning, Meghana Varayuri

Electronic Theses, Projects, and Dissertations

Corn is a widely cultivated agricultural product, serving as a cornerstone in food production and industrial applications such as biofuels, playing a crucial role in the global economy. This study explores the application of deep transfer learning to accurately classify major corn diseases from leaf images, aiming to enhance disease management strategies for improved agricultural productivity and sustainability. The customized Dense net 201 model achieved 95% prediction accuracy on an untrained dataset. Data augmentation improved the model’s accuracy from 91% to 95%. This supervised learning approach enhances the model’s performance by increasing the diversity, leading to better generalization and accuracy. …

Integrated Crop Recommendation System: Harnessing Machine Learning, Arun Kumar Reddy Saddikuti

Electronic Theses, Projects, and Dissertations

To meet the increasing demand, for food while also reducing impact this study introduces an innovative "Integrated Crop Recommendation System" that combines advanced machine learning with sustainable farming methods. The goal of this system is to transform how crops are chosen by considering factors like soil quality, local climate and habitats for pollinators thereby enhancing the precision and effectiveness of crop suggestions. In contrast to agricultural decision support systems that often neglect the interconnectedness of soil health, weather conditions and biodiversity, this new approach aims to improve food security and sustainability. The primary research focus is on optimizing practices that …

A Model Of Information Visualization Interpretation, Michael Gene Hilgers

Business and Information Technology Faculty Research & Creative Works

Since the groundbreaking work by Cleveland and McGill in 1984, studies have revealed the difficulties humans have extracting quantitative data from visualizations as simple as bar graphs. As a first step toward understanding this situation, this paper proposes a mathematical model of the interpretation effort of a bar graph using concepts drawn from eye tracking. First, three key areas of interest (AOIs) are identified, and fixations are modeled as random point clouds within the AOIs. Stochastic geometry is introduced via random triangles connecting fixations within the adjacent key visual regions. The so-called landmark methodology provides the basis for the probabilistic …

A Multimodal Foundation Agent For Financial Trading : Tool-Augmented, Diversified, And Generalist, Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Financial trading is a crucial component of the markets, informed by a multimodal information landscape encompassing news, prices, and Kline charts, and encompasses diverse tasks such as quantitative trading and high-frequency trading with various assets. While advanced AI techniques like deep learning and reinforcement learning are extensively utilized in finance, their application in financial trading tasks often faces challenges due to inadequate handling of multimodal data and limited generalizability across various tasks. To address these challenges, we present FinAgent, a multimodal foundational agent with tool augmentation for financial trading. FinAgent's market intelligence module processes a diverse range of data-numerical, textual, …

Macrohft : Memory Augmented Context-Aware Reinforcement Learning On High Frequency Trading, Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Xinrun Wang

Research Collection School Of Computing and Information Systems

High-frequency trading (HFT) that executes algorithmic trading in short time scales, has recently occupied the majority of cryptocurrency market. Besides traditional quantitative trading methods, reinforcement learning (RL) has become another appealing approach for HFT due to its terrific ability of handling high-dimensional financial data and solving sophisticated sequential decision-making problems, e.g., hierarchical reinforcement learning (HRL) has shown its promising performance on second-level HFT by training a router to select only one sub-agent from the agent pool to execute the current transaction. However, existing RL methods for HFT still have some defects: 1) standard RL-based trading agents suffer from the overfitting …

Corporate Crisis Management: A Contemporary Best Practices Template, Vivek Narayan

Finance Undergraduate Honors Theses

This paper seeks to re-envision the crisis management framework used by organizations in their day-to-day activities. In the modern world, with exponential technological advancements, the social media age, and the 24/7 news cycle, crises have worsened in severity. Despite this, most literature on the subject is more than a decade old.

Incorporating past literature, this thesis demonstrates that society is in an “era of crises,” then defines and discusses the types and origins of these crises. It compares the topics of issues and crisis management before commentating on corporate and academic literature and ultimately previous 3-stage models for crisis management. …

A Grain Of Hope: Analysis Of The Economic Potential For An Association Of South East Asian Nations (Asean) Rice Futures Market, Richard Nyarko

Graduate Theses and Dissertations

The ASEAN (Association of Southeast Nations) region is the world's leading rice producer, yet the region lacks a dedicated rice futures market. In contrast other world grain markets are served by liquid futures contracts, which aid producers through price discovery and risk management. This glaring gap raises a critical question: Can an ASEAN rice futures market be established to unlock the potential economic benefits for the region's rice sector? By predicting ASEAN rice pricing features and analyzing the efficacy of hedging for regional rice market players, this study explores the viability of an ASEAN rice futures contract to service the …

The Decline Of Republican Democracy And Rise Of The Techno-Authoritarian State: Reading Dystopian Novels In Hindi Literature, Manindra Nath Thakur

Midwest Social Sciences Journal

In the past few decades, the nature of capitalism has changed fast as it has lost its philosophical justification based on the principle of the common good. There have been many avatars of the idea of the “common good”: “white man’s burden to civilize the world,” “welfarism,” and “neoliberal concept of freedom of choice.” Capitalism now seems to have moved in a new direction, however, and it has failed to produce any further philosophical justification for its existence as a mode of production despite generating unprecedented economic inequality. Consequently, there is a rising tension between capitalism and democracy in societies …

Understanding The Dynamics Of Chatbot Design, Transparency, And Ethical Implications In Customer–Brand Relationship In Hospitality And Tourism Industry, Shakera Parveen

Electronic Theses, Projects, and Dissertations

This culminating experience project investigated the impact of chatbot interactions on customer perceptions, ethical considerations, and transparency within the hospitality and tourism industry. The research questions are: Q1: how do the specific visual and verbal aspects contribute to shaping customer perceptions within the context of chatbot marketing efforts? Q2: what steps can companies take to address and mitigate ethical concerns surrounding interactions with chatbots? Q3: To what extent does the level of transparency and explainability in chatbot interactions influence customer trust and satisfaction? The findings are: Q1: the study revealed that visual and verbal aspects of chatbot design significantly shape …

N Y State Dent J August-September 2024

The New York State Dental Journal

In the August-September 2024 issue, the reader will find the following feature articles:

• Success of Implant Placement in Patients with Human Immunodeficiency Virus
• Effects of Mandatory COVID-19 Testing Policy on No-Show Rates for Aerosol-Generating Procedures
• Heterotopic Bone Formation after TMJ Surgery
• Rural Oral Health Access Disparities in New York State

This issue includes regular columns with regional news impacting the New York membership including editorial and perspectives columns, legal, association activities, component news, continuing education opportunities, and classifieds.

How Fun Overcame Fear: The Gamification Of A Graduate-Level Statistics Course, Mai P. Trinh, Robert J. Chico, Rachel M. Reed

Management Faculty Publications

Innovative instructional methods can help improve student engagement and learning outcomes when teaching difficult subjects, such as statistics. This instructional innovation article illustrates how gamification can be applied in management education to improve students’ learning experience, engagement, and acquisition of knowledge. Our purpose is to demonstrate how gamification is not only a powerful way to build on the use of games and game thinking in our field, but also a versatile application of education technology that could potentially enhance the way management knowledge is taught. Furthermore, it is a low-risk way for management educators to join and contribute to the …

Empirical Studies On Flexible And Renewable Investment Interaction In The Modernizing Electricity Grid, Seyed Amin Seyed Haeri

All Dissertations

The U.S. electricity generation portfolio is transitioning from fossil fuels to renewables like solar and wind, posing challenges due to renewable intermittency. The first chapter examines the relationship between renewable and conventional generation technologies, focusing on operational flexibility. Using panel data from 2002 to 2019, our empirical strategy reveals that flexible generation investments stimulate future wind and solar capacity and respond to current renewable penetration, especially wind energy. This dynamic highlights flexible generation's role in ensuring grid reliability. We also analyze the influence of renewable portfolio standards, market competition, and natural gas infrastructure on investment dynamics.The second chapter explores the …

Essays On Retail Operations, Yao Chen

All Dissertations

This dissertation consists of three essays examining various aspects of retail operations. The first essay explores the strategic implementation of free in-store pickup services. Motivated by the rise of omni-channel strategies, it analytically models how a profit-maximizing retailer decides to adopt free ship-to-store services for online-exclusive products. The analysis reveals the effects on pricing, shipping fees, and customer behavior, as well as how these services attract foot traffic and boost in-store sales. Prescriptive models are provided to help retailers assess the potential value and customer response to ship-to-store services.

The second essay investigates the impact of negative environmental, social, and …

Do Investors Value Firm's Application Of Cryptocurrency And Blockchain Technology?, Shensi Wang

Open Access Theses & Dissertations

This paper examines how investors view a firm's involvement with cryptocurrency or blockchain technology, measured by 10-K disclosures containing the related keywords. I find that investors negatively react to the information related to cryptocurrency or blockchain in the three-day window, but the negative trend is reversed after day four. Surprisingly, the topic analysis indicates that the market reacts positively to all topics related to cryptocurrency and blockchain, except for the "competition environment," suggesting that factors outside adopting cryptocurrency or blockchain affect the negative correlations observed before.

J Mich Dent Assoc August 2024

The Journal of the Michigan Dental Association

Every month, The Journal of the Michigan Dental Association provides news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It stands as the primary publication reaching Michigan dentists.

In the August 2024 issue, the Journal focuses on the 2024 Mission of Mercy event held in Flint Original content includes:

• A cover story on the MOM

• A feature article on Locum Tenens Dentists

• A New Professional Column

• News You Need, an editorial, and regular department articles covering MDA Foundation activities, MDA Services, Dentistry and the Law, and Staff Matters.

Additional feature article …

The Impact Of Algorithmic Control And Algorithmic Management In Online Labor Platforms, Yaping Zhu

Graduate Theses and Dissertations

Online labor platforms (OLPs) are transforming the way organizations operate and how people work. Platform work has been characterized as promoting autonomy and flexibility. Workers interact with a platform rather than human managers to accomplish tasks and they have the freedom to decide when, where, and how much to work. Yet, platform workers increasingly bemoan working conditions, revealing that the expected autonomy and flexibility benefits of platform work have not materialized. Current IS research sheds light on this phenomenon by explaining that platform organizations use algorithms to manage and control workers (i.e., algorithmic control). Yet, our understanding of how algorithmic …

My Manager Endorsed My Coworkers’ Voice: Understanding Observers’ Positive And Negative Reactions To Managerial Endorsement Of Coworker Voice., Emily Poulton, Szu-Han Joanna Lin, Shereen Fatimah, Cony Ho, Lance Ferris, Russell Johnson

Research Collection Lee Kong Chian School Of Business

Research on managerial voice endorsement has primarily focused on the processes and conditions through which voicers receive their managers’ endorsement. We shift this focus away from the voicers, focusing instead on the dual reactions that endorsement generates for observing employees. Drawing from an approach-avoidance framework, we propose that managerial endorsement of coworker voice could be perceived as a positive and negative stimulus for observers, prompting them to approach opportunities and avoid threats, respectively. Results from a pre-registered experiment and a multi-wave, multi-source field study revealed that managerial endorsement of coworker voice was positively related to observers’ voice instrumentality, thus prompting …

Value Of Transportation Information Systems: Implications Of Digital Platforms, Third-Party Forecasting, And Advanced Driver-Assistance Systems, Ali Shirzadibabakan

All Dissertations

This three-essay dissertation focuses on understanding the impacts of IT, or IT enabled business models, on transportation and supply chains. Specifically, it empirically examines the market and societal implications of digital freight platforms, third-party forecasting, and cyber-physical systems in the transportation and supply chain sectors. Leveraging the entry of the Amazon Freight platform into the trucking freight industry as an exogenous shock, the first essay finds that adding a digital platform-enabled spot marketplace addresses the prevalent problem of the performance (rejection) of nonbinding contracts in the trucking industry. Specifically, the platform’s effect manifests through two primary mechanisms: increasing suppliers’ transportation …

Determinants And Consequences Of Engaging With Multiple Auditors In The Mutual Fund Industry, Chelsea Mae Anderson

Graduate Theses and Dissertations

Mutual funds are an important industry and component of capital markets, with $34 trillion in assets under management that hold 32 percent of exchange-traded common equities. In this industry, there are often multiple auditors serving the same client concurrently, which could impact auditor behavior. I examine the determinants of engaging with multiple auditors, finding that it is driven by fund complex size, recent merger activity, and having multiple locations. I also examine the consequences of this dynamic, finding that funds in multiple auditor complexes pay lower audit fees and have higher audit quality, as proxied by audit adjustments. I find …

Ah, You’Re One Of Those Entrepreneurs: An Investigation Into Investors’ Evaluations And Support Of Typecasted Entrepreneurs, Jonathan C. Preedom

All Dissertations

Chapter 1: In this qualitative study, I examine how entrepreneurial investors assess and decide which early-stage ventures to support based on the entrepreneurial pitch. These decisions are made in highly uncertain environments where the risk of incorrect evaluations is significant. Drawing on the literature on categorization and sensemaking, I induce a typology of five common ways investors typecast entrepreneurs based on salient auditory and visual cues from the pitch. This work provides an important foundation for understanding biases in the investor-entrepreneur dynamic, as well as the implications of such typecasting for entrepreneurial resource support.

Chapter 2: In this quantitative study, …

Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …