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Articles 39391 - 39420 of 1103636
Full-Text Articles in Entire DC Network
Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette
Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette
Journal of Counselor Preparation and Supervision
As artificial intelligence (AI) transforms mental health and education, counselor educators must prepare future practitioners to engage with these technologies ethically and effectively. This article presents a systematic framework for incorporating AI into counselor education through three key approaches: AI-generated content, AI analysis, and AI interactions. The framework addresses critical considerations including ethical implementation, prompt engineering, and cultural competence while maintaining alignment with professional standards. Drawing from current literature and ethical guidelines, we provide structured guidance for implementing AI across various content delivery styles, with emphasis on preserving clinical judgment and therapeutic relationships. Comprehensive appendices include implementation guides, assessment rubrics, …
Understanding Artificial Intelligence And Machine Learning: Foundational Concepts For Counselor Education, Eunae Han, Jihoon Shin
Understanding Artificial Intelligence And Machine Learning: Foundational Concepts For Counselor Education, Eunae Han, Jihoon Shin
Journal of Counselor Preparation and Supervision
The purpose of this manuscript was to introduce key concepts in artificial intelligence (AI) and machine learning (ML) to counselor educators and counseling researchers. As AI continues to play an increasingly significant role in various fields, counseling professionals need to develop a foundational understanding of AI, including ML. The first section of this manuscript outlined basic concepts in AI and ML, with study examples that utilize specific algorithms in mental health and counseling-related fields. Next, the second section explained the general process of building an ML model, illustrating it with a real-world dataset example for counseling professionals. The manuscript also …
Reimagining The Counseling Profession: Preparing Counselors For Ai And Digital Health Integration, Carl J. Sheperis, Dusti L. Annan-Coultas, Caronne C. C. Rush
Reimagining The Counseling Profession: Preparing Counselors For Ai And Digital Health Integration, Carl J. Sheperis, Dusti L. Annan-Coultas, Caronne C. C. Rush
Journal of Counselor Preparation and Supervision
Digital health technologies including artificial intelligence (AI) are transforming mental healthcare delivery, creating new opportunities and challenges for counseling practice. This article examines digital health applications in counseling, including telehealth, mobile apps, digital therapeutics, virtual reality, and AI-powered tools. We explore key implications for practice, including enhanced accessibility, impacts on therapeutic relationships, and ethical considerations. The article presents a six-domain competency framework covering privacy and security, technical proficiency, ethical literacy, clinical integration, therapeutic adaptability, and administrative management. A case study illustrates the practical application of hybrid digital care, while a discussion of counselor education highlights the need for curriculum updates. …
Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke
Research Synthesis Of Predicting Part 135 Accident Probability In Aviation: How The Bayesian Brain Ignores Declining Safety Standards, Jonathan R. Clarke
Journal of Aviation Technology and Engineering
Technological innovation has had an enormous effect on safety in aviation. However, in Part 135 operations, where technology is not as ubiquitous, the accident rates have plateaued. Human error is constantly misrepresented as being responsible for 70–80 percent of accidents, when it is clearly only one of several contributing factors. In commercial aviation, all accidents should be considered organizational failures, because by definition all defensive layers have been breached. Organizational failure, as it affects safety, should be identifiable and predictable from organizational behavior. Inevitably, in the aftermath of accidents the warning signs of poor behavior are seemingly obvious, yet there …
Predictive Capacity Planning: Estimating Hardware Requirements For Customer Deployments, Mahesh Chidrawar, Sanjeev Panem Jaya, Umesh Prabhakar Gaikwad
Predictive Capacity Planning: Estimating Hardware Requirements For Customer Deployments, Mahesh Chidrawar, Sanjeev Panem Jaya, Umesh Prabhakar Gaikwad
Defensive Publications Series
Achieving suitable dimensioning for accurately determining the hardware specifications necessary for new mobile gateway deployments is a complex challenge, involving numerous variables whose interrelationships must be understood in the context of specific use cases. This research aims to develop a model for estimating the necessary capacity for product dimensioning and deployments on existing hardware infrastructure. By leveraging data from current customer labs, the study seeks to facilitate effective capacity planning for clients. The model will be constructed through a comprehensive analysis of various customer datasets, enabling the prediction of the hardware requisites tailored to specific deployment needs. The objective is …
Improving Arabic Coffee Production Through Disease Detection Based Ai Frameworks, A.S. Balobaid, R. Alarabi, S.M. Abd Elazim
Improving Arabic Coffee Production Through Disease Detection Based Ai Frameworks, A.S. Balobaid, R. Alarabi, S.M. Abd Elazim
Yanbu Journal of Engineering and Science
Coffee is the second most traded commodity globally after oil and represents a major source of income in many countries. Kingdom of Saudi Arabia has a great interest in growing and expanding of coffee in line with the Saudi Green Initiative as implementation of Vision 2030 AD. This expansion is accompanied by a greater spread of insect pests and the emergence of diseases affecting coffee. Recently, machine learning technologies have been beneficial in the agricultural era in detection and classification of fruit and tree diseases. The study initially focuses on kind of disease that appears in the leafy area of …
The Indiana Statesman, August 21, 2025, Indiana State University
The Indiana Statesman, August 21, 2025, Indiana State University
Student Newspaper
Welcome Freshmen! Convocation embraces freshman class; Letter from the President; Party at the Fountain concludes Sycamore Sunday
Assessing Cascaded Op-Amp And Pre-Current Amplifier Configurations In Transimpedance Amplifier Interfacing Circuits For Nano-Scale Current-Based Sensor Applications, Mohamed Mamdouh, Sameh O. Abdellatif
Assessing Cascaded Op-Amp And Pre-Current Amplifier Configurations In Transimpedance Amplifier Interfacing Circuits For Nano-Scale Current-Based Sensor Applications, Mohamed Mamdouh, Sameh O. Abdellatif
Electrical Engineering
This study provides a comprehensive analysis of two proposed configurations for current-to-voltage converters tailored for nano-scale current-based sensor applications, focusing on key performance metrics such as linearity, dynamic range, DC noise immunity, and power losses. The evaluation employed frequency-dependent analyses, including transient response, step response, input impedance, and frequency-dependent noise spectra, to compare a cascaded double output configuration with a pre-current amplifier design. The results indicate a trade-off between dynamic range and linearity, with the pre-current amplifier demonstrating a higher dynamic range but lower linearity compared to the cascaded configuration. Additionally, the current amplifier configuration exhibited advantages in power consumption …
From The River To The Sea: Environmental Ecocide In Palestine, Isabela Pizarro
From The River To The Sea: Environmental Ecocide In Palestine, Isabela Pizarro
Student Theses 2015-Present
This paper investigates the environmental and ecological toll of Israel’s current occupation and genocide of Palestine through ecological, historical, philosophical, and legal lenses. Chapter 1 explores the ecological impacts that Israel’s prolonged military operations have had on Gaza and the West Bank since October 7, 2023. Chapter 2 provides a comprehensive examination of the ideological motivations and historical context for Israel’s colonization of Palestine. The chapter also provides a pre-colonial history of Palestine’s indigenous agriculture and land management practices, highlighting its self-sufficiency and sustainability prior to the occupation. Chapter 3 explores different environmental philosophies between indigenous Palestinians and the State …
Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard
Investigating Resilience Of Cyberattack Detection Using Lyapunov-Based Economic Model Predictive Control To Data Poisoning, Helen Durand, Akkarakaran Francis Leonard
Chemical Engineering and Materials Science Faculty Research Publications
Cyberattacks may be performed on process control systems due to their integration of networking and computing with physical systems. Prior work in our group has developed detection strategies for nonlinear systems under sensor, actuator, and combined sensor and actuator attacks which can ensure, under characterizable conditions, that attacks can be detected before they cause safety issues. However, this work did not take into account the potential that an attacker could attempt to provide data to a process that causes an attack to remain undetected but that also is consistent with different process dynamics than those which the process has. This …
Response Of Dynamic Processes With Control Implemented On A Noisy Quantum Computer, Shilpa Narashimhan, Dominic Messina, Henrique Oyama, Helen Durand
Response Of Dynamic Processes With Control Implemented On A Noisy Quantum Computer, Shilpa Narashimhan, Dominic Messina, Henrique Oyama, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
A major challenge to determining the applicability (and potential outperformance over classical computers) of a quantum computer (QC) within chemical manufacturing processes is quantum noise. Computations by a QC are error-prone due to the influence of quantum noise inherent to the hardware. Errors in control inputs may destabilize a chemical process and lead to unsafe conditions for manufacturing personnel and the environment. The response of a process with control implemented on a QC to errors due to noise must be investigated thoroughly. In this work, the impacts of control input errors due to quantum noise on a process are modeled …
Heuristic Strategies For Process Stabilization Using Proportional Control Implemented By A Noisy Quantum Simulator, Keshav Kasturi Rangan, Helen Durand
Heuristic Strategies For Process Stabilization Using Proportional Control Implemented By A Noisy Quantum Simulator, Keshav Kasturi Rangan, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Processing and storage demands of industrial processes are causing fields such as optimization, scheduling, and control to assess the effectiveness of quantum devices in their applications. A key objective of control systems is to ensure process safety. This paper focuses on the potential of quantum devices to compute control inputs that maintain system safety despite sources of nondeterminism inherent to currently available quantum devices (quantum noise). In our previous work, we employed a quantum simulator to assess whether a quantum implementation of a proportional (P) control law could stabilize a single-input/single-output system under quantum noise approximated from a real quantum …
Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand
Tools To Design Algorithms For Implementing Control Over Quantum Computers, Shilpa Narashimhan, Jihan Abou Halloun, Kip Nieman, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Quantum computers (QCs) may find future applications within control systems that operate manufacturing processes. For application within control engineering, quantum algorithm development must be led by control engineers. However, control engineers may face challenges in designing quantum algorithms for control engineering problems. In this work, we provide several path-finding studies that leverage engineering tools such as optimization, encryption, and computational "short-cuts" toward making algorithm design for QC easier for control engineers.
August 21, 2025, James Madison University
August 21, 2025, James Madison University
The Breeze, 2020-
The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.
The Minutes Of The Marshall University Staff Council Meeting, August 2025, Marshall University Staff Council
The Minutes Of The Marshall University Staff Council Meeting, August 2025, Marshall University Staff Council
Staff Council Minutes
No abstract provided.
Carl Williams V. Linode Limited Liability Co
Carl Williams V. Linode Limited Liability Co
2025 Decisions
USDC for the Eastern District of Pennsylvania
Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali
Humanizing Cities As An Approach For Solving Cities' Problems To Be More Livable, Kareem Mahrous Ali
Mansoura Engineering Journal
Most people around the world want to move from the countryside to the cities or from one city to another that provides them with all their human needs for a better life. The dream may come true for them or turn into a nightmare for reasons related to general problems facing most cities in the world, such as the high cost of living and the absence of social justice, these problems cause an increase in poor families, or the issue of refugees and the inability of some cities to welcome them, the energy crisis, and the challenges of climate change …
Recent Progress And Scientific Challenges In Wire-Arc Additive Manufacturing Of Metallic Multi-Material Structures, Sainand M. Jadhav, Sambhaji Kusekar, Akash Belure, Satyavan Digole, Abhijeet Mali, Muralimohan Cheepu, Manoj Mugale, Suhas Alkunte, Duckbong Kim
Recent Progress And Scientific Challenges In Wire-Arc Additive Manufacturing Of Metallic Multi-Material Structures, Sainand M. Jadhav, Sambhaji Kusekar, Akash Belure, Satyavan Digole, Abhijeet Mali, Muralimohan Cheepu, Manoj Mugale, Suhas Alkunte, Duckbong Kim
Faculty Articles
Metallic multi-material structures are heterogeneous structures characterized by changing composition, microstructures, and site-specific characteristics, advantageous for numerous applications where multifunctionality is desired. Metallic multi-material structures are known as bimetallic structures (BSs), which are functionally graded materials (FGMs). In recent years, wire-arc additive manufacturing (WAAM) advanced as a promising additive manufacturing process to realize the fabrication of these structures due to its high deposition rate, cost-effectiveness, and material utilization efficiency. This review presents a comprehensive overview of the recent progress, processing strategies, and scientific challenges in WAAM of multi-material structures. The paper begins with an introduction to multi-material structures, followed by …
Riparian Restoration Increases Soil Microbial Biomass In Marin County Rangelands, But Soil Carbon Stock Is Less Responsive, Sherilyn Kathryn Reinhart
Riparian Restoration Increases Soil Microbial Biomass In Marin County Rangelands, But Soil Carbon Stock Is Less Responsive, Sherilyn Kathryn Reinhart
Master's Theses
Land use change has caused the degradation of 70% of the Earth’s soils, directly altering soil microbial communities and carbon cycling. Interest in carbon farming practices is growing, but studies that document the nuances of soil carbon flux in specific bioregions are still too few. In this study, I examined how one practice, riparian restoration, alters soil carbon stock and microbial community structure over time. Using a paired sampling time series design, I collected soil samples from twelve riparian forests and adjacent rangelands near Marin County, California. Young and mature sites ranged from five to 29 years since restoration, and …
Operational Solutions To Address Radiology Staffing Challenges In Southern California Hospitals, Jacqueline Wood
Operational Solutions To Address Radiology Staffing Challenges In Southern California Hospitals, Jacqueline Wood
Walden Dissertations and Doctoral Studies
The problem of interest is the current workforce crisis among the Radiologist Specialty in hospitals in Southern California. There has been a significant decline in the number of Radiologists in the workforce compared to the caseload of imaging studies. The purpose of this integrative review was to evaluate empirical and non-empirical literature for operational solutions to improve recruitment and retention of radiology providers. Literature published between 1999-2024 were evaluated for appropriateness using the Johns Hopkins evidence appraisal tools. The literature involved strategies and identified operational areas of opportunity for improvement with radiologist staffing. Identifying ways to improve job satisfaction, retention …
Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah
Examining The Relationship Between Artificial Intelligence And Disability, Luke Abell, Ben Anderson, Andres Arbulu, Cailyn Bowerman, Ethan Brown, Logan Busch, Eliana Chinitz, Shaan Choksi, Charles Clark, Alexander Claure, Meaghan Crites, Amalia Daniell, Stephen Dombrowski, Clara Dotterer, Jordyn Fink, Jake Fox, Akanksha Garg, Ishaan Ghosh, Cristian Gorayeb, Lia Gosselin, Simon Hasik, Alexis Hawkins, Charles Dickerson Iv, Chistopher Johnson, Cj Kulprathipanja, Claire Lindborg, Josh Lorenz, Luke Mcdonald, Daniella Nahnsen, Arwa Neemuchwala, Sage Nichols, Henrique Ortega, Krish Patel, Daniel Paul, Andres Ravelo, Daniel Reyes, Francesca Rovetto, Santiago Sacchini, Juan Santos, Mauricio Saturno, Carter Schaffer, Joey Schlosser, Anna Scroggings, Dylan Smith, Daniel Tejeira, Kenny Teng, Diya Tibrewala, Max Young, Robert Zeltsman, Bradley S. Duerstock, Maxwell Mensah
Undergraduate Coursework
No abstract provided.
2025-08-21 Faculty Senate Scoop Newsletter, Morehead State University. Faculty Senate.
2025-08-21 Faculty Senate Scoop Newsletter, Morehead State University. Faculty Senate.
Faculty Senate Records
Faculty Senate Scoop newsletter from August 21, 2025.
Determination Of Microplastic Compounds In Some Species Of Freshwater Snails In Brantas River, East Java, Indonesia, R Adharyan Islamy, Yuni Kilawati, Veryl Hasan, Fitri Sil Valen, Noorhidayah Mamat, Ahmad Syazni Kamarudin, Yunita Maimunah
Determination Of Microplastic Compounds In Some Species Of Freshwater Snails In Brantas River, East Java, Indonesia, R Adharyan Islamy, Yuni Kilawati, Veryl Hasan, Fitri Sil Valen, Noorhidayah Mamat, Ahmad Syazni Kamarudin, Yunita Maimunah
Baghdad Science Journal
This research examines microplastic contamination patterns in three ecologically significant freshwater gastropods—Pomacea canaliculata, Filopaludina javanica, and Sulcospira testudinaria—in Indonesia's Brantas River system. Through systematic sampling at three downstream locations, we quantified and characterized microplastics within the digestive tracts of these molluscan species. The results demonstrate universal microplastic ingestion across all taxa, though with notable interspecific variation. The invasive P. canaliculata showed the highest contamination levels (4.5 microplastic particles per individual, average weight 15.2g), predominantly comprising textile fibers and plastic fragments. In contrast, F. javanica specimens (average 10.8g) contained primarily cosmetic microbeads and packaging films (2.7 particles/individual), …
Biodegradable Nanocomposites Thin Films For Recyclability Electronic Covering, Ban Jawad, Ammar Emad Al-Kawaz, Hanaa Jawad, Nabeel Hasan, Balqees Mohammed
Biodegradable Nanocomposites Thin Films For Recyclability Electronic Covering, Ban Jawad, Ammar Emad Al-Kawaz, Hanaa Jawad, Nabeel Hasan, Balqees Mohammed
Baghdad Science Journal
In this study, the nanocomposite thin films were prepared from polyvinyl alcohol (PVA) that reinforced with different proportions of carbon nanotubes (CNTs) via hand casting method . The current work aims to create the connection between improving surface characteristics for high efficiency electronic covering and biodegradability. The nature of bonding between the PVA and CNTs were studied by Fourier-transform infrared spectroscopy (FTIR). Wettability properties were studied via contact angle analyzer. The two dimensions' morphology of nanocomposites was studied using atomic force microscopy (AFM). Biodegradable tests of nanocomposites were performed via burial in soil for seven days. According to the contact …
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architucture And Material Characterization, Mohammad Ghazi Alshneeqat
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architucture And Material Characterization, Mohammad Ghazi Alshneeqat
Thesis/ Dissertation Defenses
This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …
Decomposing Trends In The Gender Gap For Highly Educated Workers, Joseph G. Altonji, John Eric Humphries, Yagmur Yuksel, Ling Zhong
Decomposing Trends In The Gender Gap For Highly Educated Workers, Joseph G. Altonji, John Eric Humphries, Yagmur Yuksel, Ling Zhong
Cowles Foundation Discussion Papers
This paper examines the gender gap in log earnings among full-time, college-educated workers born between 1931 and 1984. Using data from the National Survey of College Graduates and other sources, we decompose the gender earnings gap across birth cohorts into three components: (i) gender differences in the relative returns to undergraduate and graduate fields, (ii) gender-specific trends in undergraduate field, graduate degree attainment, and graduate field, and (iii) a cohortspecific “residual component” that shifts the gender gap uniformly across all college graduates. We have three main findings. First, when holding the relative returns to fields constant, changes in fields of …
Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye
Investigation Of A Stable And Saturated Reference Electrode Using Metal Chlorides And Oxides In Eutectic Licl-Kcl Molten Salts, Carlos Mejia, Devin Rappleye
Faculty Publications
Stable and reproducible reference electrodes (REs) are essential for electrochemical systems operating in high-temperature molten salts, where consistent control of potential is required. This study uses three different solutes to investigate the development and evaluation of REs in eutectic LiCl-KCl at 773 K. The solutes tested were NiCl2, AgCl, and NiO, each prepared at multiple concentrations to assess stability, reproducibility, and saturation. Electrochemical stability was measured over three days using chronopotentiometry (CP), followed by open circuit potential (OCP), with cyclic voltammetry (CV) also integrated to monitor changes in electrochemical behavior over time. The CP-OCP approach established a Li …
2025-08-21 Faculty Senate Newsletter, Morehead State University. Faculty Senate.
2025-08-21 Faculty Senate Newsletter, Morehead State University. Faculty Senate.
Faculty Senate Records
Faculty Senate newsletter from August 21, 2025.
Large-Scale Flood Detection And Mapping In The Yangtze River Basin (2016–2021) Using Convolutional Neural Networks With Sentinel-1 Sar Images, Xuan Wu, Zhijie Zhang, Wanchang Zhang, Bangsheng An, Zhenghao Li, Rui Li, Qunli Chen
Large-Scale Flood Detection And Mapping In The Yangtze River Basin (2016–2021) Using Convolutional Neural Networks With Sentinel-1 Sar Images, Xuan Wu, Zhijie Zhang, Wanchang Zhang, Bangsheng An, Zhenghao Li, Rui Li, Qunli Chen
Environment and Society Faculty Publications
Synthetic Aperture Radar (SAR) technology offers unparalleled advantages by delivering high-quality images under all-weather conditions, enabling effective flood monitoring. This capability provides massive remote sensing data for flood mapping, while recent rapid advances in deep learning (DL) offer methodologies for large-scale flood mapping. However, the full potential of deep learning in large-scale flood monitoring utilizing remote sensing data remains largely untapped, necessitating further exploration of both data and methodologies. This paper presents an innovative approach that harnesses convolutional neural networks (CNNs) with Sentinel-1 SAR images for large-scale inundation detection and dynamic flood monitoring in the Yangtze River Basin (YRB). An …
Full-Stack Quantum Computing, Benjamin C A Morrison
Full-Stack Quantum Computing, Benjamin C A Morrison
Physics & Astronomy ETDs
Quantum computing is a promising tool for solving computational problems in several areas, including the simulation of physical and chemical systems. The design of practical quantum computing systems for these applications is a daunting task, requiring collaborative work by interdisciplinary teams considering different abstractions of the same systems. This dissertation presents work on the development of those abstractions, and on components that bridge multiple layers of abstraction. I first provide an introduction to quantum circuit model computation, error correction with stabilizer codes, and physics simulation algorithms. In joint work with the QSCOUT software team, I then describe the development of …