Digital Commons Network^™

Optimization Of Banks’ Value – Practical Challenges, Jan Koleśnik, Jacek Nadolski

Journal of Banking and Financial Economics

The aim of the article is to verify the conceptual model of integrated optimization of a bank’s value, which enables the integration of the risk management process with business processes while maintaining compromise between the safety (stability) of a bank’s operations and striving to maximize its value. The model is an attempt at a comprehensive solution to such dilemmas as shaping a bank’s value ex ante, not ex post. Verifi cation of the model has shown that the model works in accordance with the adopted assumptions and leads to the achievement of the basic goal for which it was constructed. …

Development Of A Machine Learning System For Irrigation Decision Support With Disparate Data Streams, Eric Wilkening

Department of Biological Systems Engineering: Dissertations and Theses

In recent years, advancements in irrigation technologies have led to increased efficiency in irrigation applications, encompassing the adoption of practices that utilize data-driven irrigation scheduling and leveraging variable rate irrigation (VRI). These technological improvements have the potential to reduce water withdrawals and diversions from both groundwater and surface water sources. However, it is vital to recognize that improved application efficiency does not necessarily equate to increased water availability for future or downstream use. This is particularly crucial in the context of consumptive water use, which refers to water consumed and not returned to the local or sub-regional watershed, representing a …

A New Rough Ordinal Priority-Based Decision Support System For Purchasing Electric Vehicles, Sadik Kucuksari, Dragan Pamucar, Muhammet Deveci, Nuh Erdogan, Dursun Delen

Faculty Publications

This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases. Unlike conventional methods that rely on predefined ranks for criteria weighting coefficients, the proposed rough OPA method employs an aggregated rough linguistic matrix, enabling a more precise and unbiased calculation of interval values. Moreover, the model addresses inherent uncertainties by incorporating nonlinear aggregation functions, accommodating decision makers' risk attitudes for flexible decision-making. To validate the model's efficacy, a large-scale post-EV test drive survey is conducted, enabling …

Evidence-Based Managerial Decision-Making With Machine Learning: The Case Of Bayesian Inference In Aviation Incidents, Aaron Glassman, Burak Cankaya, Kazim Topuz, Dursun Delen

Publications

Understanding the factors behind aviation incidents is essential, not only because of the lethality of the accidents but also the incidents’ direct and indirect economic impact. Even minor incidents trigger significant economic damage and create disruptions to aviation operations. It is crucial to investigate these incidents to understand the underlying reasons and hence, reduce the risk associated with physical and financial safety in a precarious industry like aviation. The findings may provide decision-makers with a causally accurate means of investigating the topic while untangling the difficulties concerning the statistical associations and causal effects. This research aims to identify the significant …

Clinical Decision Support System For Standardization Of Disease-Specific Education, Paul Nava

Student Scholarly Projects

The evidence-based, contextually relevant, disease-specific health education materials aim to provide strategies for improvement in health literacy, disease management comprehension, and medication adherence. The health education materials address difficulties many adults experience in understanding health information. The health education system must remain a contextually relevant, patient-specific reference for standardizing disease-specific education according to the patient's mental capability (Fereidouni et al., 2019). Nurse-driven education material system addresses equity, diversity, and inclusion, tailored for all literacy degrees.

Clinical decision-making is a complicated process influenced by a highly variable process that exponentially increases error rates, selection, or exclusion, unintended or not, by presenting …

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …

N Y State Dent J August-September 2022

The New York State Dental Journal

In the August-September 2022 issue, the reader will find the following feature articles:

• Maxillary Sinus Foreign Body From an Unusual Source: Provisional Prosthesis Material
• Antihypertensive Drug-induced Orofacial Angioedema: Case Reports
• An Overview of Maxillofacial Rehabilitation for the General Dentist

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.

Don't Let The Technology Tail Wag The Clinical Judgment Dog, Chester Gary Dds, Jd

The New York State Dental Journal

Misuse of artificial intelligence will threaten dentists' professional autonomy and erode public trust in the dentist-patient relationship.

Covid‑19 Vaccine Distribution: Exploring Strategic Alternatives For The Greater Good, Arben Asllani, Silvana Trimi

Department of Supply Chain Management and Analytics: Faculty and Staff Publications

The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as …

The Role Of Cognitive Load And Individual Differences When Interpreting Human-Resource Data Visualizations, Zachary Hesson

University Honors Theses

Data visualizations (e.g., bar graph, dashboard) can be used as decision-support and storytelling tools that aid users’ interpretation of sometimes complex information, including within the human resource management (HRM) context. As HRM evolves towards implementing more data-informed decisions, it is important to understand how users interpret data visualizations. The aims of this thesis are to (a) identify whether cognitive load affects the amount of time users spend arriving forming and interpretation and the accuracy of their interpretations, and (b) to evaluate whether cognitive load moderates the association between individual-difference variables and interpretation time and accuracy. The individual differences that are …

Biomedical Informatics Colloquium, Bio 4050, Course Outline, Eugenia G. Giannopoulou

Open Educational Resources

A seminar-based course that exposes students to current research topics in the fields of Bioinformatics and Medical Informatics. Weekly presentations by invited speakers and/or faculty introduce students to the broad diversity of research areas in both fields, and engages them in critical thinking and writing. Online lectures and reading activities will be given periodically.

Best Used-Car Selling Service In Us, Sirisha Pola, Jennifer Wagner, Fenny Jin, Pallavi Gusain, Alfonso Herrero

Engineering and Technology Management Student Projects

During the Covid-19 pandemic, a shift in the way people do things has been seen across many different industries, the automobile industry is not the exception, new car production and distribution has decreased based on the restrictions placed by many countries to ensure the safety of its citizens, this has made it quite difficult on the new car dealerships, in addition, people are seeing that the need for a car has gone down significantly since working from home has become a more and more common. However, there is a sector of the automotive industry that is having a boom, used …

Computational Decision Support For The Covid-19 Healthcare Coalition, Andreas Tolk, Christopher Glazner, Joseph Ungerleider

VMASC Publications

In the early months of 2020, the SARS-CoV-2 Coronavirus took the world by surprise, resulting in the COVID-19 pandemic that has caused significant loss of lives and challenged the sustainability of our health care systems. In mid-March, it became obvious that government and communities had to react immediately. Under the lead of the Mayo Clinic and The MITRE Corporation, the COVID-19 Healthcare Coalition (C19HCC) was established as a coordinated public-interest, private-sector response. The coalition brought healthcare organizations, technology firms, nonprofits, academia, and startups to support supply chains, inform coordinated social policies, and provide data-driven insights to protect people and preserve …

Allocating Rangelands To The Optimum Land Use By Applying A Decision Support System, Seyed Alireza Mousavi, Hossein Arzani, Mehdi Farahpour

IGC Proceedings (1997-2023)

Rangelands in Iran are faced with a considerable level of degradation and human interventions due to pressures for increased food production and the need to generate more benefits for an increasing population. A first step in solving this problem is to develop methodology to efficiently analyse the current situation and effectively reallocate rangelands into optimum land uses. To achieve an agreed solution for land allocation, an interactive approach is required to recognize and comprehensively assess different alternatives.

This paper suggests an introductory framework for developing a decision support system for allocation of rangeland areas into the most optimum use.

Project Management Assignment Tool Using R And Shiny, Ben Stewart, Hoseok Jung, Moses Rawar

Engineering and Technology Management Student Projects

Linear programs such as the R markdown language play an important role in helping to find an optimized solution in various fields of society. This area extends from the optimal distribution channels of coffee shops, which are closely related to our lives, to very important areas such as the deployment of military forces. Through this paper, we will try to find ways to maximize the efficiency and performance of a company by properly allocating project managers suitable for the projects performed by each company according to their capabilities and the requirements of the projects.

Optimization Model For Project Manager Assignments, Neeti Verma, Poonam Ganoskar, Pallavi Gusain, Thanvi Vemulapally, Sai Kalyan, Bala Krishnamoorthy, Sai Kalyan Krishna Gali

Engineering and Technology Management Student Projects

The main objective of every project in an organization is to maximize its profit. This maximization of profit can be achieved through proper allocation of project managers to projects in an organization. But assigning a project to a project manager is still considered a difficult issue and is not yet fully addressed in the literature. However, in high-tech industries various project assignment methodologies are used to assign project managers to multiple projects and reassignment during new-product development projects. The aim of the optimization model created in this project is to develop a framework for project assignments to project managers including …

Ethical Thinking Machines In Surgery And The Requirement For Clinical Leadership, Quinlan D. Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, Christine Bennett, Massimo Piccardi, Farrokh Farrokhi

Medical Papers and Journal Articles

No abstract available.

Green Up Pavement Rehabilitation Design Tool, Dragos Andrei, Robert E. Kochan, Jose H. Perez

Mineta Transportation Institute

While designers produce pavement rehabilitation recommendations every day, for projects of all sizes, most designers have little information on the environmental impact of their recommendations. This research developed a new decision tool, called the “Green Up Pavement Rehabilitation Design Tool,” to allow the comparison of different rehabilitation solutions in terms of greenhouse gas emissions and to encourage sustainable practices such as materials recycling and the use of permeable, cool, and quiet pavement surfaces. The project aligns with the major goal of California Senate Bill 1, which is “to address deferred maintenance on the state highway system and the local street …

Numerical, Secondary Big Data Quality Issues, Quality Threshold Establishment, & Guidelines For Journal Policy Development, Anita Lee-Post, Ram Pakath

Marketing & Supply Chain Faculty Publications

An IS researcher may obtain Big Data from primary or secondary data sources. Sometimes, acquiring primary Big Data is infeasible due to availability, accessibility, cost, time, and/or complexity considerations. In this paper, we focus on Big Data-based IS research and discuss ways in which one may, post hoc, establish quality thresholds for numerical Big Data obtained from secondary sources. We also present guidelines for developing journal policies aimed at ensuring the veracity and verifiability of such data when used for research purposes.

Making Good Decisions: An Attribution Model Of Decision Quality In Decision Tasks, Bethany Niese

PhD in Business Administration Dissertations

Decision-makers endeavor to obtain the decision quality which puts them in a position to reach their goals. In order to control or influence decision quality, the processes by which individuals form their beliefs must be understood. In addition, many decision makers rely on decision support technologies to help find patterns in data and make sense of the input, so these technologies must be considered in parallel with the processes.

There have been numerous studies conducted to illuminate the factors which affect decision quality, however, many of these studies focused on objective measures and factors. This approach ignores individual perception, belief, …

Integrating Intelligent Decision Support Services Into Analytical Management Systems, Mastura Zaynutdinova, Odilbek Asqaraliyev

Bulletin of TUIT: Management and Communication Technologies

The article discusses the approach to creating projects of organizational management systems that allow to use the theoretical and practical results of research in the field of artificial intelligence in their design. The importance of using the experience gained to support decision-making in the organizational management system was emphasized. In addition, appropriate recommendations will be developed for the intellectual support of decision-making in integrated management systems, as well as the introduction of service technologies. In the example of supporting management decisions, optimal solutions are put forward for the intellectual processing of information, the creation of services appropriate to expert systems. …

Information Delivery, User Decision Approach, And Choice Environment: Examining The Effectiveness Of Non-Compensatory And Customization-Based Online Decision Support., Malgorzata Kolotylo

FIU Electronic Theses and Dissertations

Decision support research has largely focused on the mechanics of tool design, with less attention paid to the way the alternatives are presented to the user - that is, the format of the output, how the decision tool design can play a role in it, and the output content (characteristics). Furthermore, little research has examined specific decision contexts and user’s cognitive aspects pertinent to the choice task, and their role during an online purchase. This study addresses these issues by investigating the impact of output format and content of a non-compensatory (NC) tool and a customization-based tool on user’s decision …

Building Indicators Of Sustainable Development With The Use Of Multi-Criteria Decision Making Methods., V.B Britkov, R.D Zaitsev, R.A Perelet, G.V Royzenson

Chemical Technology, Control and Management

An approach for analyzing big data is proposed with reference to sustainable development indicators (SDI), based on the application of combinations of various mathematical techniques. In particular, methods of multi-criteria decision-making for developing the SDI are described in the article. Examples of constructing UN SDI are given.

A Multi-Level Decision Support System For Energy Optimization In Wwtps, Dario Torregrossa, Ulrich Leopold

International Congress on Environmental Modelling and Software

The availability of real-time measurements in Wastewater Treatment Plants (WWTPs) can produce environmental and economic benefits. Since a WWTP can produce up to 300k records per day, computational analytics support is necessary for efficient decision-making. Recently a Shared Knowledge Decision Support System (SK-DSS) was presented with specific applications for energy saving in pumps and blowers. The SK-DSS is based on fuzzy analysis, identifies the operational conditions of devices and provides case-based solutions. With a large number of monitored devices, it is necessary to provide a global synthetic index, able to represent the performance of the plant and the different importance …

Decision Support System For The Design And Planning Of Low-Impact Development Practices: The Case Of Seoul, Jae-Yeol Song, Eun-Sung Chung, Soo Hyun Kim

Civil and Environmental Engineering Faculty Publications and Presentations

This study presented the conceptual framework of the water-management analysis module (WMAM) to derive effective physical specifications for the design and planning of low-impact development (LID) practices using the storm-water management model (SWMM). This decision-support system can be used for six LID types and has the following key capabilities: determining relevant LID design parameters within the SWMM that critically influence the hydrological cycle components using a simple sensitivity analysis and determining the best hydrological values for LID planning specification. This study analyzed a highly urbanized university campus as a case study to determine the design and planning specifications for an …

Transforming Yekaterinburg Into A Safe, Resilient-Smart And Sustainable City, S. A. Timashev, V. N. Alekhin, L. V. Poluyan, I. Fontanals, A. Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The initiative (since 2014) project described in this paper is a product of a joint innovative research and implementation effort of the Civil Engineering and Architecture Institute, Ural Federal University, the Science and Engineering Centre "Reliability and Safety of Large Systems and Machines", Ural Branch Russian Academy of Sciences (both Yekaterinburg), Start-up OptiCits, Barcelona, Spain and the Old Dominion University, Norfolk, VA, USA. The project is based on using the MAICS convergent technology [1] to create a versatile multi-purpose tool for optimizing the science and art of risk based governance of resilience-smart and sustainable city infrastructure and communities operating in …

Using Microsoft Excel To Teach Simulation Concepts To Business Students, Robert F. Gordon Ph.D.

Faculty Works: MCS (1984-2023)

The application of computers to solving business problems, the area of study known as decision support systems, is an important component in the education of business students today. One major type of decision support system is computer simulation, which is the technique most often used to solve queuing problems in the industry. This paper describes how to teach the concepts of computer simulation, explain the key components of simulation software, and provide hands-on experience to solve these problems by using Microsoft Excel.

Convolutional Neural Network Based Localized Classification Of Uterine Cervical Cancer Digital Histology Images, Haidar A. Almubarak, R. Joe Stanley, Rodney Long, Sameer Antani, George Thoma, Rosemary Zuna, Shelliane R. Frazier

Electrical and Computer Engineering Faculty Research & Creative Works

In previous research, we introduced an automated localized, fusion-based algorithm to classify squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN). The approach partitioned the epithelium into 10 segments. Image processing and machine vision algorithms were used to extract features from each segment. The features were then used to classify the segment and the result was fused to classify the whole epithelium. This research extends the previous research by dividing each of the 10 segments into 3 parts and uses a convolutional neural network to classify the 3 parts. The result is then fused to …

Forecasting Traditional Vs Blended Retirement System For Individual Service Members, Kevin M. Dwyer

Theses and Dissertations

Starting January 1, 2018, the Department of Defense new Blended Retirement System (BRS) will go into effect. Military members with less than twelve years of service will have the option to either remain in the current High 3 Retirement System or opt into the BRS. This decision will have a lasting impact on their lives well beyond their military careers. With this in mind, we have developed a Decision Support System that will enable service members to compare the two retirement choices in terms of annual and total lifetime expected value. There were three phases to the development of the …

Reducing Medication Errors : A Dialectical Journey From The Phenomenological To The Ontological, Avinash Bachwani

Legacy Theses & Dissertations (2009 - 2024)

Discrepancies in medication information lead to medication errors that impose an enormous, yet preventable burden on patients, the healthcare system, and society. The inordinate amount of attention given to the process of reconciling discrepancies has bestowed such inorganic dominance upon the process itself that the primal goals of medication management and patient safety have devolved into implicit considerations. A chief impediment that continues to forestall the homogeneous application of medication reconciliation is the absence of standardization. This dissertation disassembles the most significant barrier to standardization by unbundling the role of clinicians from the process, and additionally challenges the lethargy in …