Digital Commons Network^™

Impact Analysis Of Roadway Surface And Vehicle Conditions On Fleet Formation For Connected And Automated Vehicles, Ping Yi, Tariq Alqubaysi

Center for Connected and Automated Transportation

Taking advantage of the rapid development of vehicle control and communication technologies, many studies have suggested that operating vehicles in platoons in the future would help improve the safety and efficiency of the transportation system. Although vehicles in a platoon can share data from V2/V communication, a platoon model built on proper control laws is needed to keep the formation of the vehicle fleet and take the real advantage in platoon operations in an environment encompassing different pavement, roadway, and tire conditions. This research introduces a platoon model using a headway-based distance control policy to maintain stability and reduce errors …

A Design Thinking Mixed-Methods Study On Deliberate Practice And Building Collective Efficacy For Teachers In The Midwestern United States, Brian Elder

Dissertations

Educational research identified teacher efficacy as a primary driver for student learning and building a positive school culture (Hattie, 2018). However, understanding how to build and support the self and collective efficacy of teachers remained unclear and an elusive process for in-service teachers. The following research study used a design thinking mixed-methods study to explore how professional development rooted in a criteria of deliberate practice worked to build professional capacity of teachers and increase teacher efficacy (Ericsson, 2020). The research project initially began embedded at an independent school in a Midwestern city before expanding to include 15 in-service teachers representing …

Smart Heuristics For Smart Management, Jochen Reb, Shenghua Luan, Gerd Gigerenzer

Asian Management Insights

How leaders can make effective decisions in a VUCA world.

Developing Singapore As A Smart Nation, Josephine Teo

Asian Management Insights

Mrs Josephine Teo, Singapore’s Minister for Communications and Information, and Minister-in-charge of Smart Nation and Cybersecurity, speaks about leading the country’s Smart Nation drive.

Exploitation Of Environmental Dna (Edna) For Ecotoxicological Research: A Critical Review On Edna Metabarcoding In Assessing Marine Pollution, Sakib Tahmid Rishan, Richard Kline, Md Saydur Rahman

School of Earth, Environmental, & Marine Sciences Faculty Publications

Highlights

• eDNA describes the genetic material of organisms present in aquatic environments.

• eDNA metabarcoding characterizes DNA of various marine species from a single sample.

• eDNA has enormous promise for ecotoxicological research in marine environments.

Abstract

The rise in worldwide population has led to a noticeable spike in the production, consumption, and transportation of energy and food, contributing to elevated environmental pollution. Marine pollution is a significant global environmental issue with ongoing challenges, including plastic waste, oil spills, chemical pollutants, and nutrient runoff, threatening marine ecosystems, biodiversity, and human health. Pollution detection and assessment are crucial to understanding the state of …

Localized Eigenvectors On Metric Graphs, Hannah Kravitz, Moysey Brio, J G, Caputo

Mathematics and Statistics Faculty Publications and Presentations

We analyze the eigenvectors of the generalized Laplacian for two metric graphs occurring in practical applications. In accordance with random network theory, localization of an eigenvector is rare and the network should be tuned to observe exactly localized eigenvectors. We derive the resonance conditions to obtain localized eigenvectors for various geometric configurations and their combinations to form more complicated resonant structures. These localized eigenvectors suggest new indicators based on the energy density; in contrast to standard criteria, ours provide the number of active edges. We also suggest practical ways to design resonating systems based on metric graphs. Finally, …

Attachment A Demonstration Of Need For Butte Priority Soils Operable Unit (Bpsou) Temporary Construction Surface Water Performance Standards Variance Request For Grove Gulch Sedimentation Bay Remedial Action Site, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Technical Memorandum Grove Gulch Earth Volumetric Studio Model Inputs, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

An Examination Of Thematic Research, Development, And Trends In Remote Sensing Applied To Conservation Agriculture, Zobaer Ahmed, Aaron Shew, Lawton Nalley, Michael Popp, V. Steven Green, Kristofor Brye

Center for Advanced Spatial Technologies Publications and Presentations

Conservation agriculture seeks to reduce environmental degradation through sustainable management of agricultural land. Since the 1990s, agricultural research has been conducted using remote sensing technologies; however, few previous reviews have been conducted focused on different conservation management practices. Most of the previous literature has focused on the application of remote sensing in agriculture without focusing exclusively on conservation practices, with some only providing a narrative review, others using biophysical remote sensing for quantitative estimates of the bio-geo-chemical-physical properties of soils and crops, and few others focused on single agricultural management practices. This paper used the preferred reporting items for systematic …

Geogebra Applets For Fostering Conceptual Understanding In Algebra, Ma. Louise Antonette N. De Las Penas, Mark Anthony C. Tolentino, Maria Alva Q. Aberin, Agnes D. Garciano, Juan Carlo F. Mallari, Jumela F. Sarmiento, Debbie Marie B. Verzosa

Mathematics Faculty Publications

This paper discusses two GeoGebra applets, Radical and Parabola, that are designed to strengthen the conceptual understanding of specific topics in algebra. The design and pedagogical basis of the applets are presented. The integration of the applets in teaching Grade 9 mathematics in a partner high school in the Philippines is then discussed. Finally, we report feedback gathered from students and teachers during this integration. Their feedback indicates the potential of these applets for improving students’ learning of algebra.

Identifying Environmental And Genetic Risk Factors Of Diseases In Case-Control Studies, Siting Li

Dartmouth College Ph.D Dissertations

In response to the increasing efforts in disease prevention and treatment, this thesis applies statistical methods to investigate environmental and genetic risk factors associated with two diseases: bladder cancer and amyotrophic lateral sclerosis (ALS). For bladder cancer, we investigated the association between toenail metal mixture and bladder cancer risk, along with gene expression levels associated with bladder cancer risk. For ALS, our investigation involves identifying genetic variants and gene expression levels associated with ALS risk and exploring gene-smoking interactions linked to ALS risk.

In chapter two, we developed an adaptive-mixture-categorization (AMC)-based g-computation method combining g-computation with optimized exposure categorization. We …

Stress Effects On The Growth Physiology Of Pacific Rockfishes (Sebastes Spp.): Negative Impacts Of Cortisol And Elevated Temperature Exposure, Hayley M. Mapes

Master's Theses

Fish experiencing stressful conditions increase production of the glucocorticoid hormone cortisol, which alters energy intake and allocation to help recover physiological homeostasis. Fish experiencing prolonged elevations of cortisol, however, often exhibit reduced somatic growth. While it has been shown previously in fish that cortisol inhibits anabolic growth processes in part via changes in endocrine growth hormone (Gh)/insulin- like growth factor-1 (Igf1) signaling, it is not fully understood which components of Gh/Igf1 pathways are modulated by cortisol. Here, we explored how cortisol influences the Gh/Igf1 system in blue rockfish (Sebastes mystinus) by administering exogenous cortisol and examining effects on …

Insights Into Cellular Evolution: Temporal Deep Learning Models And Analysis For Cell Image Classification, Xinran Zhao

Master's Theses

Understanding the temporal evolution of cells poses a significant challenge in developmental biology. This study embarks on a comparative analysis of various machine-learning techniques to classify cell colony images across different timestamps, thereby aiming to capture dynamic transitions of cellular states. By performing Transfer Learning with state-of-the-art classification networks, we achieve high accuracy in categorizing single-timestamp images. Furthermore, this research introduces the integration of temporal models, notably LSTM (Long Short Term Memory Network), R-Transformer (Recurrent Neural Network enhanced Transformer) and ViViT (Video Vision Transformer), to undertake this classification task to verify the effectiveness of incorporating temporal features into the classification …

Advocating For Adoptions In Al Hol: How Intercountry Adoptions Could Ensure The Safety Of A Generation Of Lost Children, Jill Boggs

Vanderbilt Journal of Transnational Law

No abstract provided.

A Comparison Of Western And Eastern Soft Systems Approaches, John L. Anaya, John L. Anaya, John L. Anaya

Master's Theses

Soft System Approaches have been developed worldwide to help problem-solvers and decision-makers develop solutions to complex problems, such as aerospace systems. Soft System Approaches were designed to help lower the disorder of developing a complex system by increasing understanding of a situation. Four Soft System Approaches were investigated, two from the West and two from the East. Within the context of the paper, the West refers to thought patterns associated with thinkers and scientists in Europe and North America, and the East refers to those from and around China. The two from the West are Peter Checkland’s Soft Systems Methodology …

Field Research Report: Results From The Enreec Vri Field For The 2021, 2022, And 2023 Crop Seasons, Derek M. Heeren, Ali T. Mohammed, Eric Wilkening, Christopher M. U. Neale, Alan L. Boldt, Ankit Chandra, Precious Nneka Amori, Ivo Z. Goncalves, Yeyin Shi, Guillermo R. Balboa

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

Long-term irrigation management research has been conducted from 2014 to 2023 for corn and soybean at the Eastern Nebraska Research, Extension, and Education Center (ENREEC) Variable Rate Irrigation (VRI) Field located in subhumid east-central Nebraska (in the Lower Platte North Natural Resources District). The objective of this report was to present the overall results from the VRI Field for 2021 to 2023. Across the three growing seasons, there were the following irrigation treatments: Best Management Practice (BMP), 50% BMP, 125% BMP, rainfed, Spatial ET Modeling Interface (SETMI), SDD1, SDD2, machine-learning-based Cyber-Physical System (CPS), a student team recommended rate, and industry …

Cancer-Associated Fibroblast-Derived Acetate Promotes Pancreatic Cancer Development By Altering Polyamine Metabolism Via The Acss2–Sp1–Sat1 Axis, Divya Murthy, Kuldeep S. Attri, Surendra K. Shukla, Ravi Thakur, Nina V. Chaika, Chunbo He, Dezhen Wang, Kanupriya Jha, Aneesha Dasgupta, Ryan J. King, Scott E. Mulder, Joshua Souchek, Teklab Gebregiworgis, Vikant Rai, Rohit Patel, Tuo Hu, Sandeep Rana, Sai Sundeep Kollala, Camila Pacheco, Paul M. Grandgenett, Fang Yu, Vikas Kumar, Audrey J. Lazenby, Adrian R. Black, Susanna Ulhannan, Ajay Jain, Barish H. Edil, David L. Klinkebiel, Robert Powers, Amarnath Natarajan, Michael A. Hollingsworth, Kamiya Mehla2,, Quan Ly, Sarika Chaudhary, Rosa F. Hwang, Kathryn E. Wellen, Pankaj K. Singh

Robert Powers Publications

The ability of tumour cells to thrive in harsh microenvironments depends on the utilization of nutrients available in the milieu. Here we show that pancreatic cancer-associated fibroblasts (CAFs) regulate tumour cell metabolism through the secretion of acetate, which can be blocked by silencing ATP citrate lyase (ACLY) in CAFs. We further show that acetyl-CoA synthetase short-chain family member 2 (ACSS2) channels the exogenous acetate to regulate the dynamic cancer epigenome and transcriptome, thereby facilitating cancer cell survival in an acidic microenvironment. Comparative H3K27ac ChIP–seq and RNA–seq analyses revealed alterations in polyamine homeostasis through regulation of SAT1 gene expression and enrichment …

Research On The Innovation And Development Of China’S Hydrogen Fuel Cell Vehicle Industry, Xinhua Yu

Dissertations and Theses Collection (Open Access)

China's commitment to achieving "carbon peaking and carbon neutrality" has made the transition from conventional energy sources such as coal, oil, and natural gas to renewable energy sources such as solar, wind, and hydrogen an unavoidable trend. In this regard, the integration of new energy technologies into the automobile and transportation sectors has significantly impacted consumers' lifestyles and has emerged as a key focus for major investment institutions. Lithium-ion batteries, known for their advanced technology, cost-effectiveness, and safety, are the leading choice for use in passenger vehicles, gradually replacing conventional fossil fuel sources. This shift is also contributing to the …

The Effect Of Internet Firms’ Data Analytics Capability On Their Innovation Speed And Innovation Quality: A Dynamic Capability Perspective, Yeyu Hua

Dissertations and Theses Collection (Open Access)

With the advent of big data era, data plays a pivotal role in sustainingfirms’ competitive advantages. Although a few studies have shown that data analytics capability contributes to firms’ innovative performance, these studies either focus on general innovative performance or specific types of innovation, such as incremental innovation, radical innovation, and supply chaininnovation. In this thesis, I enrich this stream of literature by conducting twostudies to further examine the relationship between data analytics capabilityand innovation speed as well as innovation quality. This thesis consists of twostudies. Study 1 is a survey study, in which I investigate the relationshipbetween data analytics …

Feedback Loops: Going Negative, Patrick Barry

Articles

Aelet Fishbach is a professor at the University of Chicago Booth School of Business who has studied how people seek out and process negative feedback. One of the ways she has done this is through a classroom exercise in which she divides the students into two groups: feedback givers and feedback receivers. The givers are told to pair up with a receiver and communicate the following feedback in a one-on-one setting: The person's performance s unsatisfactory; improvement is needed; and there are concrete ways they can get on the right track.

Water Potential From Adaptive Force Matching For Ice And Liquid With Revised Dispersion Predicts Supercooled Liquid Anomalies In Good Agreement With Two Independent Experimental Fits, Raymond Weldon, Feng Wang

Chemistry & Biochemistry Faculty Publications and Presentations

A revised version of the Water potential from Adaptive force matching for Ice and Liquid (WAIL) was developed by using the previous data set for fitting the WAIL model but with a dispersion term calculated using symmetry adapted perturbation theory (SAPT). The model has no adjustable parameters and relies solely on fitting first-principles information. The new model, named revised WAIL (rWAIL), shows improved predictions of most properties of water when compared to the previously published WAIL model. The rWAIL model also compares favorably to other first-principles-derived water models, such as MB-Pol, at only a fraction of the computational cost. The …

Considering The Lessons Of Curriculum Studies In The Design Of Science Instruction: Varieties Of Meaning And Implications For Teaching And Learning, William F. Mccomas

Curriculum and Instruction Faculty Publications and Presentations

This article is an introduction to the rich domain of curriculum studies with specific reference to science teaching and learning. It is designed not as a systematic review or theoretical treatise but rather as an overview for those charged with transforming science content and processes into a classroom curriculum. In other words, while written from the scholarly perspective of curriculum studies, the hope is that it will be seen by teachers as a set of possibilities rather than recommendations while reminding educators that what happens in classrooms to students and their parents is the curriculum, but it is only one …

Possible Role Of Correlation Coefficients And Network Analysis Of Multiple Intracellular Proteins In Blood Cells Of Patients With Bipolar Disorder In Studying The Mechanism Of Lithium Responsiveness: A Proof-Concept Study, Keming Gao, Marzieh Ayati, Nicholas M. Kaye, Mehmet Koyutürk, Joseph R. Calabrese, Eric Christian, Hillard M. Lazarus, David Kaplan

Computer Science Faculty Publications

Background: The mechanism of lithium treatment responsiveness in bipolar disorder (BD) remains unclear. The aim of this study was to explore the utility of correlation coefficients and protein-to-protein interaction (PPI) network analyses of intracellular proteins in monocytes and CD4+ lymphocytes of patients with BD in studying the potential mechanism of lithium treatment responsiveness. Methods: Patients with bipolar I or II disorder who were diagnosed with the MINI for DSM-5 and at any phase of the illness with at least mild symptom severity and received lithium (serum level ≥ 0.6 mEq/L) for 16 weeks were divided into two groups, responders (≥50% …

Study Of The Relationship Among Economic Variables In Cattle Production In A Region Of Peru, Based On Plithogenic Statistics, Ketty Marilú Moscoso-Paucarchuco, Michael Raiser Vásquez-Ramírez, Humberto Rafael Yupanqui-Villanueva, Wilfredo Fernando Yupanqui-Villanueva, Omar Arturo Vivanco-Nuñez, Manuel Michael Beraún-Espíritu, Rafael Jesús Fernández-Jaime, Edgar Gutiérrez-Gómez

Neutrosophic Sets and Systems

This paper is an in-depth study that starts from a preliminary one, where we surveyed 141 ranchers from the town of Coto-Coto in Peru to obtain as much information as possible about the relationship between two economic variables, Activity Cost and Financial Management. Furthermore, we study the correlation of the first one of them with three other economic vari ables. To do this, we process the survey data using logical operators with the support of the plithogenic statistics theory. These results given in the form of plithogenic values are logically aggregated and were converted to crisp values and studied through …

Optimization Of Triangular Neutrosophic Based Economic Order Quantity Model Under Preservation Technology And Power Demand With Shortages, S. Loganayaki, N. Rajeswari, K. Kirupa, S. Broumi

Neutrosophic Sets and Systems

The primary objective of this article is to develop a mathematical model and determine the optimal policies of an inventory system involving power demand and controlled deterioration through preservation technology. This model comes in handy in a power demand-oriented inventory system with demand high at the end of the period. The model incorporates backlogged shortages and linear holding cost. The triangular neutrosophic numbers (TNN’s) are used for a nuanced representation of uncertain and imprecise inventory-related expenses. An efficient algorithm is constructed to minimize the total cost, and obtain optimal positive inventory time, optimum cycle time and minimum preservation technology investment. …

Enhancing Medical Image Quality Using Neutrosophic Fuzzy Domain And Multi-Level Enhancement Transforms: A Comparative Study For Leukemia Detection And Classification, A. A. Salama, Mahmoud Y. Shams, Huda E. Khalid, Doaa E. Mousa

Neutrosophic Sets and Systems

Medical image processing has become a critical research area due to the vast amounts of digital image data available. However, medical images often suffer from poor illumination and low visibility of significant structures, requiring image enhancement to improve image quality before processing. In this paper, we propose a technique for enhancing medical images by removing noise and improving contrast based on three different enhancing transforms. The proposed technique embeds the image into a neutrosophic fuzzy domain, where it is mapped into three different levels of trueness, falseness, and indeterminacy, and each level is processed individually using the enhancement transforms. We …

Neutrosophy Transcends Binary Oppositions In Mythology And Folklore, Florentin Smarandache

Neutrosophic Sets and Systems

This article is a brief foray into the intricate realm of mythological and folkloric composite entities. Our analysis posits that these hybrid and superhybrid creatures serve as compelling evidence that the human psyche consistently transcends binary oppositions as in neutrosophy. Across diverse cultures and epochs, the human mind exhibits a propensity for nuanced and neutrosophic vantage points, defying simplistic categorizations. Additionally, we make some remarks pertaining to the subject matter, and open up a few less conventional questions.

A Novel Method For Solving The Time-Dependent Shortest Path Problem Under Bipolar Neutrosophic Fuzzy Arc Values, Vidhya K, Saraswathi A, Broumi Said

Neutrosophic Sets and Systems

The Shortest path problem is highly relevant in our daily lives, addressing uncertainties like traffic conditions and weather variations. To handle such uncertainties, we utilize Fuzzy Numbers. This paper focuses on Bipolar Neutrosophic Fuzzy Numbers, which have dual positive and negative aspects. They provide a robust framework for representing arc (node/edge) weights, signifying uncertain travel times between nodes. Importantly, these weights can change over time in bipolar neutrosophic fuzzy graphs. Our study introduces an extended Bellman-Ford Algorithm for identifying optimal paths and minimum times with time-dependent Bipolar Neutrosophic Fuzzy arc weights. We demonstrate its effectiveness through a step-by-step numerical example …

Neutrosophic Doubt Fuzzy Bi-Ideal Of Bs-Algebras, P. Ayesha Parveen, M. Himaya Jaleela Begum

Neutrosophic Sets and Systems

In this research paper, our aim is to introduce the new concept of neutrosophic doubt fuzzy bi-ideal of BS algebras as an extension of doubt fuzzy bi-ideal of BS-algebras and investigated its algebraic nature. Neutrosophic doubt fuzzy bi-ideal of BS-algebras is also applied in Cartesian product. Finally, we also provide the homomorphic behaviour of Neutrosophic doubt fuzzy bi-ideal of BS-algebras.

Neutrosophic Vision Of The Expected Opportunity Loss Criterion (Neol) Decision Making Under Risk, Maissam Jdid, Florentin Smarandache

Neutrosophic Sets and Systems

One of the major challenges facing decision-makers at the present time is obtaining complete information about the issue under study, due to the unstable conditions of the work environment that are beyond the control of decision-makers, which requires them to reach an optimal decision in light of these circumstances and fluctuations and to benefit from the data that is collected. Collected by specialists to determine the appropriate probability distribution corresponding to random cases of nature, here we are faced with the issue of making a decision in the event of risk because the probability distribution is a distribution linked to …