Digital Commons Network^™

Neutrosophic Logic-Based Crop Yield Prediction And Risk Assessment Using Least Squares Regression, M. Srikanth, R.N.V. Jagan Mohan, M. Chandra Naik

Neutrosophic Systems with Applications

Agriculture faces significant challenges due to climate change and unpredictable environmental factors, which impact crop yields and threaten food security. This study proposes a novel approach to crop yield prediction and risk assessment using neutrosophic logic and least squares regression. By integrating these methods, we aim to improve accuracy in predicting crop losses under uncertain conditions. The model classifies crops based on profitability and environmental risks, utilizing the independence test to evaluate the relationships between crop attributes. Our approach leverages deep learning techniques, such as restricted Boltzmann machines (RBM), to enhance the analysis of crop data and provide farmers with …

Product Perspective From Fuzzy To Neutrosophic Graph Extension- A Review Of Literature, G. Vetrivel, M. Mullai, G. Rajchakit

Neutrosophic Systems with Applications

This review article consolidates and tabulates research on the product operations done in fuzzy, intuitionistic fuzzy, and neutrosophic graphs. This article encompasses the previous product discussions on fuzzy graphs and their extensions. This article aims to list the origin, structural properties, applications, etc. done by the researchers and academicians using the product behavior of two graphs on the fuzzified environment. This review provides a clear understanding of enhancements of product approach on graphs from fuzzy to neutrosophic kind.

Some Similarity Measures On Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets And Their Applications In Medical Diagnosis, Afshan Qayyum, Noreen Mushtaq, Tanzeela Shaheen, Wajid Ali, Florentin Smarandache

Neutrosophic Systems with Applications

In recent years, the application of fuzzy sets has gained significant attraction in various fields, including medical diagnosis, due to their ability to manage uncertainties and imprecise information. This paper focuses on the comparative analysis of similarity measures within the realm of Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets (GIVIFSESs) and explores their application in the domain of medical diagnosis. Most of the important topics in fuzzy set theory are the similarity measures between the generalizations of fuzzy set theory. Similarity measures are a crucial tool which was used in data science. In this process, we measure how much the …

Application Of The Neutrosophic Poisson Distribution Series On The Harmonic Subclass Of Analytic Functions Using The Salagean Derivative Operator, Adeniyi M. Gbolagade, Ibrahim T. Awolere, Olusola Adeyemo, Abiodun T. Oladipo

Neutrosophic Systems with Applications

The authors explore the innovative application of the Neutrosophic series, particularly the Neutrosophic Poisson Distribution Series (NPDS), to investigate various indeterminacy or uncertainties inherent in the classical univalent harmonic function class. The Neutrosophic Poisson Distribution Series is equipped with a Salangean derivative operator and convoluted with analytic univalent harmonic function class to derive new properties, such as inclusion relation, and coefficient inequalities for star-likeness. The results obtained demonstrate the effectiveness of this approach in capturing the inherent uncertainties and complexities associated with harmonic functions. There are several other areas of importance of our results that can be unlocked by computer …

Rubrics Informed By The Cognitive Theory Of Multimedia Learning That Support Research On Personalized Learning Paths, Sean A. Mochocki, Mark G. Reith, Jonathan Zemmer

AFIT Documents

Personalized Learning Paths (PLP)s are a popular area of research in E-Learning where sequences of Learning Materials (LM)s and activities are returned based on a learner profile, the LM metadata, and a knowledge structure that describes the relationship between the underlying topics. Unfortunately, PLP researchers tend to not use an empirically supported cognitive science framework for their research, instead relying on such unsupported theories as learning styles or developing their own ad hoc approaches. While many of these researchers present and solve challenging PLP problems using a variety of algorithmic approaches, the PLP community in general would benefit from a …

Unlocking Telecommuting Patterns Before, During, And After The Covid-19 Pandemic: An Explainable Ai-Driven Study, Adedolapo Ogungbire, Suman Kumar Mitra

Civil Engineering Faculty Publications and Presentations

The COVID-19 pandemic has instigated a global paradigm shift in employment practices, precipitating a widespread transition to telework. While past events had no long-lasting effect on the continued working conditions of the population, it is unclear what a prolonged need for telecommuting on such a nationwide scale would continue to have on the working population. This study uses an explainable artificial intelligence approach to investigate the changes in those telecommuting across three periods: i) pre-pandemic, ii) pandemic, and iii) post-pandemic periods. Machine learning methods, including decision trees, random forest, extreme gradient boost, naïve Bayes, and artificial neural networks, were developed …

Pity The Poor Reader, Charles H. Haddad

School of Communication and Journalism Faculty Publications

I conceived my book “Pity the Poor Reader” as an un-textbook, an irreverent “Elements of style.” Like Elements, it’s designed to complement textbooks. Pity is concise, memorable and portable. Under 300 pages, Pity serves as an aspiring writer’s keepsake. Concision lies at the heart of Pity. The key concepts of writing well are distilled into irreverent, memorable lines and axioms. Many of them are organized as lists that are easily printed and taped to a wall or a computer. Indeed, in testing the book with my university students, I’ve found that many of them did print out its list of …

Metal Additive Manufacturing Of Damage-Controlled Elements For Structural Protection Of Steel Members, Hamdy Farhoud, Islam Mantawy

Henry M. Rowan College of Engineering Departmental Research

This paper develops hybrid steel members by integrating additively manufactured, ultra-lightweight, damage-controlled elements (DCEs) into hot-rolled structural steel members. This approach relies on segmenting a structural member into distinct sections; one or two segments are enlarged to be capacity protected; however, another end or middle DCE segment is optimized to emulate the conventional member’s strength and stiffness. A small-scale DCE was topologically optimized and then additively manufactured using a powder bed fusion technique through a direct metal laser sintering process of 17-4PH stainless steel and then was experimentally tested to study the buckling behavior under compression. The experimental testing of …

Honors Oracle, November 2024, Honors College

Honors Oracle

Marshall University’s Honors College newsletter.

Optimalisasi Pengembangan Start-Up Dalam Mengatasi Middle-Income Trap Era Jokowi: Analisis Kebijakan Holistik Dan Sinergi Multisektor, Irfan Rafi Maulana, Neihan Kalila Salma, Rayhan Abhista Rabbani Surachman

Indonesia Foreign Policy Review

Indonesia hingga kini masih dibayangi oleh risiko Middle Income Trap (MIT), tetapi di balik ancaman tersebut terdapat kapabilitas yang besar bagi Indonesia dalam memanfaatkan teknologi digital dan bonus demografi. Potensi ini dapat direalisasikan melalui upaya pengembangan start-up dan penciptaan kebijakan holistik dalam sektor ekonomi digital yang berpotensi memperkuat ekonomi nasional. Contoh eksplisit dari potensi yang ada terletak pada kekuatan milenial dan Gen-Z sebagai kelompok generasi pengguna mobile technology yang signifikan. Sebagaimana hal tersebut, penelitian ini bertujuan untuk menganalisis pemerintahan Joko Widodo dalam pengembangan start-up sebagai salah satu sektor perekonomian bangsa serta menyajikan rekomendasi holistik dalam merumuskan kebijakan luar negeri dan …

Mechanisms Of Extracellular Vesicle Uptake And Implications For The Design Of Cancer Therapeutics, Stephanie R Jackson Cullison, Joseph P Flemming, Kubra Karagoz, Peter J Wermuth, Mỹ G Mahoney

Rowan-Virtua School of Osteopathic Medicine Departmental Research

The translation of pre-clinical anti-cancer therapies to regulatory approval has been promising, but slower than hoped. While innovative and effective treatments continue to achieve or seek approval, setbacks are often attributed to a lack of efficacy, failure to achieve clinical endpoints, and dose-limiting toxicities. Successful efforts have been characterized by the development of therapeutics designed to specifically deliver optimal and effective dosing to tumour cells while minimizing off-target toxicity. Much effort has been devoted to the rational design and application of synthetic nanoparticles to serve as targeted therapeutic delivery vehicles. Several challenges to the successful application of this modality as …

Shallow Relief Drains In Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Shallow relief drains are easy to construct and a cost-effective way to:

• remove accumulated surface water from depressions and low-lying land
• divert run-off from land that is prone to inundation or flooding
• remove surface water to a safe disposal area, to reduce the length of time the land is inundated or flooded
• reduce the potential for localised recharge and the development of secondary salinity
• improve the continuity of flow within the catchment along the valley floor.

Linfield Digest, Linfield Magazine Staff

Linfield Magazine

Brief articles and photos of events and news about Linfield University

Nebline, November/December 2024

NEBLINE Newsletter Archive from Nebraska Extension in Lancaster County

Positive Insights Shared Regarding CHIME: Head Start University Partnership Project, Jaci Fogel

Diabetes Awareness: Small Changes, Big Impact, Kayla Colgrove

Recipe of the Month: Turkey Cranberry Meatballs, Kayla Colgrove

Commercial/ Noncommercial Pesticide License

Love Gardening? Become a Master Gardener!

Garden Guide: Things to Do This Month

Upcoming Green Industry Conferences

Managing the Demands of Water & Wastewater Systems Can Make Gatherings More Enjoyable, Becky Schauerman

It’s Time to Plant Fall Cover Crops, John Nelson

A Quick Guide to Fleas, Kait Chapman

Heart of 4-H Award: Shane Cuttlers and Dena Noe

4-H Specialty Clubs Invite New Members

Nebraska 4-H Fed Steer …

Residential Solar Power: An Interpretative Phenomenological Analysis Of The Consumer Decision Process Regarding Solar Adoption In The Low-Energy-Cost / Low-Solar-Exposure Pacific Northwest, Steven W. Schmidt

Doctor of Business Administration (DBA)

The energy-supply industry is faced with aggregate global energy demand growth associated with the simultaneous impact of worldwide increasing population and decreasing poverty (with its associated increased access to energy choices), thus, increasing both total and per capita world-wide energy usage. Concomitant with energy demand growth, though, there are widening and deepening concerns among many regarding the impact of energy-related pollution, which is accompanied by an associated, growing interest in clean, renewable sources of energy. In this milieu, solar energy has provided a rapidly growing supply of power solutions (though still a small overall proportion).

The intent for this doctoral …

Measuring Soil Salinity, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

To make sound decisions on managing saline sites, you need to know the source of salt, how salinisation is occurring, the landscape context, and most importantly, the actual salt concentration of the soil.

The most common 'measures' of salt concentration are actually estimates based on electrical conductivity of a soil and water solution. Soil salt content can be measured in a laboratory by measuring the total dissolved solids in a sample. In the field, salt concentration can also be estimated using electromagnetic induction-based soil sensors.

Magpy: A Python Package For Magmas, Skylar Korf

All NMU Master's Theses

There exist a multitude of computational tools available to mathematicians, such as interactive and automated theorem provers, finite counter-example generators, and computer algebra systems, most of which have a complicated installation process, unintuitive syntax, a lack of comprehensiveness for mathematical structures, or some combination of these. Computer algebra systems are indispensable tools due to their capacity for creating mathematical objects and performing computations on them. However, there is a lack of computational resources that focus on dealing with explicit examples, and extracting the properties thereof, especially for the most basic algebraic structures. Here, we will dive into several prominent computer …

Turkey Time, Ashley S. Mcguire

Patent Coloring Books

Patent coloring book

Beyond Engineering: Unleashing The Universal Benefits Of Makerspaces For All Disciplines, Cath Bruhnke

Presentations

The Adobe Studio & Makerspace at Clemson serves students from over fifty-six programs in addition to our engineering program. We collected data from the logs students fill out when logging their equipment use and found that during the '23-’24 academic year, over half of the visitors were from non-engineering programs. We have learned from our discussions with students that word of mouth is a significant factor in bringing new students to our space. With consistent outreach to faculty and staff, we hope to get more non-engineering classes for Adobe Studio & Makerspace tours.

Smart Systems For Employing Iot Devices For Monitoring And Control Of Electric Vehicle Residential Charging, Grant M. Fischer, Steven B. Poore, Rosemary E. Alden, Donovin D. Lewis, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

As the number of electric vehicles (EVs) on the road continues to increase, the rise in power demand may pose challenges, especially for the localized grid capacity during peak load events. This paper briefly reviews methods of power monitoring and load shedding such as smart charging and load management systems. An internet-of-things (IoT) power monitoring system is proposed for high-resolution power monitoring and control of J1772 standard level 2 EV charging systems to provide detailed data to enable future studies on EV grid integration. Additionally, a hardware test bench (HTB) including a DC battery emulator, oscilloscope, and commercial EV charger …

Assessing The Influence Of Occupancy Factors On Energy Performance In Us Small Office Buildings, Seddigheh Norouziasl, Sorena Vosoughkhosravi, Amirhosein Jafari, Zhihong Pang

Faculty Publications

Office buildings are responsible for about 35% of the total electricity in the US and over 70% of building energy consumption occurs during occupancy periods. Therefore, understanding occupancy behavior is crucial for reducing building energy consumption. However, given the stochastic nature of occupant behavior, identifying which occupancy parameters have the most impact on energy consumption poses a considerable challenge. This study aims to investigate and quantify the impact of various occupancy parameters on the energy performance of a US small-sized office building using an EnergyPlus-based nationwide energy simulation. First, dynamic occupancy schedules are created based on different occupancy parameters using …

Final Executed Request For Change (Rfc-Rmap-2024-002), Mike Mcanulty, Eric Hassler

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Estimating Models For Engineering Costs On The State Highway Operation And Protection Program (Shopp) Portfolio Of Projects, Elhami Nasr, Tariq Shehab, Nigel Blampied, Vinit Kanani

Mineta Transportation Institute

The State Highway Operation and Protection Program (SHOPP) is crucial for maintaining California’s 15,000-mile state highway system, which includes projects like pavement rehabilitation, bridge repair, safety enhancements, and traffic management systems. Administered by Caltrans, SHOPP aims to preserve highway efficiency and safety, supporting economic growth and public safety. This research aimed to develop robust cost-estimating models to improve budgeting and financial planning, aiding Caltrans, the California Transportation Commission (CTC), and the Legislature. The research team collected and refined comprehensive data from Caltrans project expenditures from 1983 to 2021, ensuring a high-quality dataset. Subject matter experts validated the data, enhancing its …

Exploring The Relationships Between Problem Features In The Humaneval Dataset And Pass@K, Austin Vornhagen

Computer Science Theses, Dissertations, and Student Creative Activity

This thesis investigates the performance of large language models (LLMs) from OpenAI, Anthropic, and Google on the HumanEval benchmark. This freely available benchmark automates the model evaluation process, ensuring consistent and objective evaluation. The HumanEval benchmark contains a dataset, consisting of 164 programming problems. Our analysis examines correlations between problem features, such as cyclomatic complexity, Halstead metrics, problem emphasis, a self-reflection metric we developed, and the models’ problem-solving capabilities on this dataset. XGBoost was utilized to identify the significance of various features in predicting pass@1 outcomes, with inconclusive findings suggesting areas for further investigation, including potential model overfitting and data …

Ipulse: November 2024, Lynn University

Student Newspapers

Issue:

• November 2024 [Volume 2] - Mega Edition

Making Racial Equity Audits Effective, Alvin Velazquez

Chicago-Kent Law Review

No abstract provided.

Interview With David Webber: Reflections On The Past, Present, And Future Of Labor’S Capital, David Webber, Alvin Velazquez

Chicago-Kent Law Review

No abstract provided.

Women And Corporate Governance: Time Horizons And Stakeholder Analysis, June Carbone

Chicago-Kent Law Review

No abstract provided.

Integrative Highway Rights-Of-Way Management To Reduce Stormwater Run-Off And Enhance Habitat, Madeline M. Showers, Robin M. Rotman

Faculty Publications

Nature-based management along highway rights-of-way (ROW) has been a focus in several states to benefit pollinators through supporting diverse and native vegetative communities. There is the potential to enhance the ecological benefits of this practice by integrating stormwater management into restoration plans and incorporating other complex, multidisciplinary factors. Historically, lack of technical assistance and limited resources has led managers to use unsustainable roadside practices that reduce the potential ecological services of the ROW; however, integrative management can aid in the prioritization of management efforts and link objectives of various resource agencies. In this literature review, we address the ecological impacts …

Nursing News & Views - November 2024, Joanne Miller Rn

Nursing Newsletters

Nursing News & Views - November 2024