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Articles 18031 - 18060 of 713685
Full-Text Articles in Entire DC Network
2022g_Approved_Ecs22_Pr_Master-Of-Science-In-Civil-Engineering, Graduate Council
2022g_Approved_Ecs22_Pr_Master-Of-Science-In-Civil-Engineering, Graduate Council
All Approved Curriculum
No abstract provided.
2022g_Approved_Ecs21_Pr_Master-Of-Science-In-Engineering-Management, Graduate Council
2022g_Approved_Ecs21_Pr_Master-Of-Science-In-Engineering-Management, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Ebs023_Pm_Mat-Btech-Clean-Uphead-Of-Unit-Signature, Graduate Council
2023g_Approved_Ebs023_Pm_Mat-Btech-Clean-Uphead-Of-Unit-Signature, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Ebs020_Pm_Mat-Art-Clean-Uphead-Of-Unit-Signature, Graduate Council
2023g_Approved_Ebs020_Pm_Mat-Art-Clean-Uphead-Of-Unit-Signature, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Ebs026_Pm_Removing Mled Curr Course From Mse Programs, Graduate Council
2023g_Approved_Ebs026_Pm_Removing Mled Curr Course From Mse Programs, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Ebs021_Pm_Mat-Mled-Clean-Uphead-Of-Unit-Signature, Graduate Council
2023g_Approved_Ebs021_Pm_Mat-Mled-Clean-Uphead-Of-Unit-Signature, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Ebs022_Pm_Mat-Eled-Clean-Uphead-Of-Unit-Signature, Graduate Council
2023g_Approved_Ebs022_Pm_Mat-Eled-Clean-Uphead-Of-Unit-Signature, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Agri023_Nc_Drvm_7151_Medical_Science, Graduate Council
2023g_Approved_Agri023_Nc_Drvm_7151_Medical_Science, Graduate Council
All Approved Curriculum
No abstract provided.
2023g_Approved_Agri010_Pm_Dvm_Program_Proposal_Final, Graduate Council
2023g_Approved_Agri010_Pm_Dvm_Program_Proposal_Final, Graduate Council
All Approved Curriculum
No abstract provided.
Income Tax Evasion And Other Fraud Problems - The Administrative Process (Part I), Bruce I. Hochman
Income Tax Evasion And Other Fraud Problems - The Administrative Process (Part I), Bruce I. Hochman
Tax Adviser
No abstract provided.
Exploring The Relationship Between Entrepreneurial Ambidexterity And Academic Performance: The Moderating Role Of Digital Capabilities: Evidence From Public Universities Of Duhok Governance, Kurdistan Of Iraq, Zeravan Abdulrahman Omar
Exploring The Relationship Between Entrepreneurial Ambidexterity And Academic Performance: The Moderating Role Of Digital Capabilities: Evidence From Public Universities Of Duhok Governance, Kurdistan Of Iraq, Zeravan Abdulrahman Omar
Arab Economic and Business Journal
This study examines the impact of entrepreneurial ambidexterity, and the synchronization of exploratory and exploitative activities, on academic performance in university departments, and the role of digital capabilities in moderating this impact. Using a descriptive analytical approach, a questionnaire was distributed to 145 department heads at public universities in Duhok Governorate, Kurdistan Region of Iraq. The data were validated using SPSS version 29 and SmartPLS 4.1.1, both of which confirmed the study's hypotheses. The results revealed a direct, statistically significant, positive correlation between entrepreneurial ambidexterity and departmental academic performance. Furthermore, digital capabilities were found to have a significant positive performance-modifying …
The Tax Adviser, Volume 3, Number 3, March 1972, American Institute Of Certified Public Accountants
The Tax Adviser, Volume 3, Number 3, March 1972, American Institute Of Certified Public Accountants
Tax Adviser
No abstract provided.
Small Tax Case Procedures In The United States Tax Court, Howard A. Dawson Jr.
Small Tax Case Procedures In The United States Tax Court, Howard A. Dawson Jr.
Tax Adviser
No abstract provided.
Enhancement Effect Of Self-Excited Thermoacoustic Oscillating Airflow On Hot Air Drying Process Of White Radish Slices, Zhang Han, Zhang Minyu, Zhao Huachao, Li Bing, Wu Zhonghua
Enhancement Effect Of Self-Excited Thermoacoustic Oscillating Airflow On Hot Air Drying Process Of White Radish Slices, Zhang Han, Zhang Minyu, Zhao Huachao, Li Bing, Wu Zhonghua
Food and Machinery
[Objective] To investigate the enhancement effect of self -excited thermoacoustic oscillation on the drying process of solid foods. [Methods] A pulsating hot air drying device based on a Rijke tube resonator structure is designed.White radish slices are selected as the target material to study the effects of hot air temperature (100~140 ℃), airflow velocity (1~7 m/s), and layer thickness (4~12 mm ) on drying kinetics and product quality. [Results] The device can stably generate a self -excited pulsating airflow with a temperature of 140 ℃, frequency of 147 Hz, and sound pressure level of 94 dB, which significantly improves drying …
Effect Of Distillation Equipment On The Aroma Quality Of Crude Distilled Jujube Wines, Fang Qiang, Feng Zuoshan, Bai Yujia, Alimire Yibulayin, Yan Yahui
Effect Of Distillation Equipment On The Aroma Quality Of Crude Distilled Jujube Wines, Fang Qiang, Feng Zuoshan, Bai Yujia, Alimire Yibulayin, Yan Yahui
Food and Machinery
[Objective] To explore novel distillation equipment and address the adverse effect of burnt tastes in the wines caused by excessively high distillation temperatures of traditional equipment. [Methods] Three types of low -temperature distillation equipment, self -developed in the laboratory, along with pot distillation equipment, are used to distill jujube wines.The volatile components in the crude distilled jujube wines are analyzed using gas chromatography -mass spectrometry (GC-MS). [Results] A total of 74 compounds are identified in the crude distilled jujube wines, including 44 esters, 8 alcohols, 5 acids, 6 aldehydes, 4 ketones, and 7 other compounds.An orthogonal partial least squares discriminant …
Dynamic Urban Air Mobility Systems Modeling And Simulation, Amer M. Ibrahim
Dynamic Urban Air Mobility Systems Modeling And Simulation, Amer M. Ibrahim
Tennessee State University Alumni Theses and Dissertations
The use of electrical vertical takeoff and landing (eVTOL) aircraft to provide efficient, high-speed, on-demand air transportation within a metropolitan area is an increasingly popular topic, which is expected to bring fundamental changes to cities. The concept of Urban Air Mobility (UAM) has the potential to make meaningful door-to-door trip time savings compared with other transportation. The capability to manage many of these eVTOL aircraft safely in a congested urban area presents an unprecedented challenge in air traffic management. In order to enable safe and efficient autonomous on-demand free flight operations in UAM, a computational guidance algorithm with collision avoidance …
From Textbook To Classroom: Gaps In Mathematical Representation And Translation In Nepali Education, Deepak Basyal
From Textbook To Classroom: Gaps In Mathematical Representation And Translation In Nepali Education, Deepak Basyal
Mathematics and Statistics
Translating real-world problem contexts into mathematical symbols is a key skill in curricula worldwide. This study examines Nepali students’ abilities to translate words into symbols and how Nepali textbooks from earlier grades support the development of these skills. To investigate this phenomenon, a sequential explanatory study was conducted with a test for 10th graders and an analysis of Grades 6—9 textbooks. Results show that students struggle to convert real-world contexts into mathematical symbols, while textbooks provide limited opportunities for practice. In particular, students have difficulty translating symbols back into real-world situations, suggesting a link between textbook opportunities and achievement. These …
Education In The Planetarium: A Practical Approach, Matthew Fyfe
Education In The Planetarium: A Practical Approach, Matthew Fyfe
Honors Projects
This project proposes live planetarium programming built within the 5E instructional model. It creates a practical application of this with lesson modules surrounding topics in observational astronomy. Specifically, there are investigations into instrumentation through CCD cameras and data collection and processing through spectroscopy and photometry with light curve folding with activities highlighting each. Each module is broken down into segments corresponding to the learning cycles of the 5E model, and as they are self contained in this way can be used piecemeal in different combinations.
Long-Term Calibration And Validation Of Stability Of The Auger Engineering Radio Array Using The Diffuse Galactic Radio Emission, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, R. Aloisio, B. Fick, Et Al.
Long-Term Calibration And Validation Of Stability Of The Auger Engineering Radio Array Using The Diffuse Galactic Radio Emission, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, R. Aloisio, B. Fick, Et Al.
Michigan Tech Publications
The Auger Engineering Radio Array (AERA) measures radio emission from high-energy extensive air showers. Consisting of 153 autonomous radio-detector stations spread over 17 km^2, it detects radio waves in the frequency range of 30 to 80 MHz. Accurate characterization of the detector response is crucial for proper interpretation of the collected data. Previously, this was achieved through laboratory measurements of the analog chain and simulations and measurements of the antenna's directional response. In this paper, we perform an absolute calibration using the continuously monitored sidereal modulation of the diffuse Galactic radio emission. Calibration is done by comparing the average frequency …
Investigating The Effect Of Kcl Stress In Raphanus Sativus, Mason P. Oelke
Investigating The Effect Of Kcl Stress In Raphanus Sativus, Mason P. Oelke
ATU Honors Projects
Potassium is an essential macronutrient for plant growth and development, yet excessive potassium fertilization can induce salt stress with detrimental consequences for crop productivity and nutritional quality. Despite its agricultural relevance, potassium chloride induced stress remains significantly understudied compared to classical sodium-based salinity. This thesis investigates the physiological, biochemical, and molecular responses of Raphanus sativus to KCl stress using an integrated approach that combines germination assays, mineral profiling, and gene expression analysis.
Radish seeds were exposed to increasing KCl concentrations (0–400 mM) with or without melatonin, TEA, or EDTA. Germination percentage, fresh and dry biomass, and early seedling vigor were …
The Effect Of Early Intervention Programs On Literacy Performance Scores Of Kindergarten Students In One Central Arkansas School District, Abigail M. Stone
The Effect Of Early Intervention Programs On Literacy Performance Scores Of Kindergarten Students In One Central Arkansas School District, Abigail M. Stone
ATU Theses and Dissertations 2021 - Present
This study was conducted in a central Arkansas school district to see if going to the Arkansas Better Chance (ABC) Early Intervention Program located in that central Arkansas school district made a difference in how well kids did on their kindergarten reading test (NWEA MAP Growth). This was a quantitative, causal-comparative study, meaning the researcher looked at archived test scores from kindergarteners in Fall 2021 where some of the participants attended ABC Pre-K, and some did not.
The main goal of the study was to answer this research question: Is there a significant difference in kindergarten readiness literacy scores between …
Validating The Use Of Natural Language Processing And Text Mining For Hospital-Based Violence Intervention Programs And Criminal Justice Articles, Cyril S. Ku, Katheryne Pugliese, Jared R. Dmello, Morgan R. Peltier, Robert Green, Sheetal Ranjan
Validating The Use Of Natural Language Processing And Text Mining For Hospital-Based Violence Intervention Programs And Criminal Justice Articles, Cyril S. Ku, Katheryne Pugliese, Jared R. Dmello, Morgan R. Peltier, Robert Green, Sheetal Ranjan
Department of Justice Studies Faculty Scholarship and Creative Works
Hospital-based violence intervention programs (HVIPs) are a form of community violence intervention designed to address trauma resulting from violent injuries. This public health approach has been implemented across the United States since the 1990s, with numerous qualitative and quantitative studies evaluating its effectiveness. Manual systematic reviews by domain experts have helped identify major themes and research gaps. While these reviews are valuable for synthesizing the existing literature, thisprocess can be time-consuming and labor-intensive, given the vast amount of research in public health and criminal justice. To meet the urgent need for accessible insights into the violence-related literature, more efficient methods …
Barriers And Challenges Faced By Minority Women Faculty Being Promoted At Hbcus, Denise Lorriane Young
Barriers And Challenges Faced By Minority Women Faculty Being Promoted At Hbcus, Denise Lorriane Young
Tennessee State University Alumni Theses and Dissertations
This mixed-methods study examined the barriers and challenges faced by minority women faculty at Historically Black Colleges and Universities (HBCUs) in their pursuit of academic promotion and career advancement. Grounded in Black Feminist Theory, the research employed an explanatory sequential design with 56 survey participants and three in-depth interviews across six HBCUs in the southern United States. The study addressed three research questions examining systemic barriers, intersecting identities, and cultural perceptions affecting promotional opportunities. Quantitative findings revealed significant barriers across career-related (M = 3.21) and educational-related (M = 2.47) dimensions, with notable differences between academic disciplines. Qualitative analysis identified five …
Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka
Conditional Generative Adversarial Network Framework For Iot Anomaly Detection, Henry Onyeka
Tennessee State University Alumni Theses and Dissertations
The growing scale and complexity of Internet-of-Things (IoT) edge networks complicate anomaly detection, particularly in identifying sophisticated Distributed Denial of Service (DDoS) attacks and zero-day behaviors under highly dynamic and imbalanced traffic conditions. This thesis proposes SD-CGAN, a Conditional Generative Adverserial Network optimzied with Sinkhorn Divergence as a geometry-aware one-class framework for robust IoT anomaly detection. SD-CGAN trains solely on benign traffic flows to learn a stable representation of normal traffic. To address class imbalance and improve the variety of the sample, we combine SD-CGAN with CTGAN-based synthetic data augmentation. Replacing the adversarial objective function with Sinkhorn Divergence yields smooth …
Warehouse Reconfiguration With Ats Lab, Ed Cantor, Dana Pazhouhesh, Mathew Oshinski, Samantha Sanchez
Warehouse Reconfiguration With Ats Lab, Ed Cantor, Dana Pazhouhesh, Mathew Oshinski, Samantha Sanchez
Senior Design Project For Engineers
The ATS Lab Warehouse Reconfiguration project is a collaborative effort between Kennesaw State University’s Department of Industrial and Systems Engineering and ATS Lab, located in Marietta, GA. The goal of this project is to redesign the current warehouse layout to enhance operational efficiency, reduce travel time, and implement sustainable inventory management practices, including 5S and Kanban. Aaron Roob, ATS Operations Manager, and Franklin Hungerford, Continuous Improvement Manager, led this initiative. Our team, “Sick Sigma’s,” is composed of Ed Cantor, our Project Manager, who is working as an intern at ATS during this process; Dana Pazhouhesh (Process Engineer); Matthew Oshinski (Quality …
Toxic Behaviors In Higher Education Institutions: Examining Demographic Factors Affecting Faculty Perceptions, Patrice C. Elder
Toxic Behaviors In Higher Education Institutions: Examining Demographic Factors Affecting Faculty Perceptions, Patrice C. Elder
Tennessee State University Alumni Theses and Dissertations
This quantitative study examined the relationship between demographic factors and faculty perceptions of organizational toxicity at four-year higher education institutions. Using the Perceived Organizational Toxicity Scale (POTS), data were collected from 131 faculty members across Predominantly White Institutions (PWIs) and Historically Black Colleges and Universities (HBCUs). The study investigated four dimensions of toxic behaviors: narcissistic, aggressive, unethical, and rigid behaviors. Key findings revealed that unethical behaviors were the most prevalent form of organizational toxicity (M=2.59, SD=1.05), followed by narcissistic behaviors (M=2.32, SD=.93). Significant demographic differences emerged across academic rank and seniority. Assistant and associate professors reported significantly higher levels of …
Teacher Perceptions On Commitment To Teaching In High-Poverty Urban Middle Schools, Ruth Michelle Hayslett
Teacher Perceptions On Commitment To Teaching In High-Poverty Urban Middle Schools, Ruth Michelle Hayslett
Tennessee State University Alumni Theses and Dissertations
This explanatory sequential mixed methods study examined teacher perceptions of factors influencing retention in high-poverty urban middle schools within Metro Nashville Public Schools. The research addressed the critical issue of teacher turnover in challenging educational environments, where retention rates significantly impact student outcomes. The study surveyed 68 teachers from five high-poverty middle schools, followed by in-depth interviews with six participants. Using Herzberg's Two-Factor Motivation Theory as the theoretical framework, the research investigated four key areas: intrinsic motivation, extrinsic motivation, professional development, and demographic factors affecting teacher commitment. Quantitative findings revealed that extrinsic factors demonstrated the strongest correlation with teacher commitment …
Causal Structure Discovery For Explaining Important Features In Machine Learning, Yina Hou
Causal Structure Discovery For Explaining Important Features In Machine Learning, Yina Hou
Tennessee State University Alumni Theses and Dissertations
Understanding causal relationships between input variables and outcomes is critical for scientific advancement. The famous adage in medicine, "correlation does not imply causation," holds profound significance for understanding disease etiology. Although explainable machine learning (ML) has shown major advances in predictive modeling, it remains unclear how ML-derived important variables relate to causal variables. This thesis investigates the association between causal variables and those identified as correlated and important for ML-based prediction to bridge a critical knowledge gap in data science. Specifically, the thesis explores two research questions: when and to what extent (1) statistically correlated variables are also causal? and …
Cross-Domain Transfer Learning Of Tabular Data With Heterogeneous Feature Spaces, Kazi Fuad Bin Akhter
Cross-Domain Transfer Learning Of Tabular Data With Heterogeneous Feature Spaces, Kazi Fuad Bin Akhter
Tennessee State University Alumni Theses and Dissertations
Transfer learning is a cornerstone of artificial intelligence (AI), enabling the learning of new domains with limited labeled data by reusing knowledge from large-scale foundation models. Transfer learning has achieved remarkable success with vision and language models due to the homogeneity in image and text data. In contrast, a heterogeneous feature space, structured in rows and columns as tabular data, remains underexplored in the transfer-learning literature. The inductive bias of tabular data with heterogeneous feature spaces from disparate application domains is very different from image and text data, which complicates transfer learning. Several recent studies have attempted within-domain and limited …
Bilstm-Based Zero-Aware Traffic Forecasting Using Lidar Data For Intersection Safety, Md Atiqur Rahman Mallick
Bilstm-Based Zero-Aware Traffic Forecasting Using Lidar Data For Intersection Safety, Md Atiqur Rahman Mallick
Tennessee State University Alumni Theses and Dissertations
LSTM retains information from long-term data and is highly effective in generating time-based forecasts. Recently, BiLSTM has enhanced the precision of traffic predictions by assimilating information from both antecedent and subsequent directions via bidirectional data flow. BiLSTM demonstrates exceptional efficacy in the analysis of long-term traffic data. Our study presents a custom forecasting model that leverages advanced LiDAR sensor technology in combination with state-of-the-art deep learning techniques to improve road conditions. Eight LiDAR sensors were strategically deployed along the 26th Clarksville Pike corridor to collect high-resolution traffic data—including vehicle speed and count/flow—over the period from September 1, 2024 to November …