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History Newsletter, 2024-2025, University Of Arkansas, Fayetteville. Department Of History Jan 2025

History Newsletter, 2024-2025, University Of Arkansas, Fayetteville. Department Of History

History Newsletter

No abstract provided.


Graduate Catalog Of Studies, 2025, University Of Arkansas, Fayetteville Jan 2025

Graduate Catalog Of Studies, 2025, University Of Arkansas, Fayetteville

Graduate School Catalog of Studies

No abstract provided.


Arkansas Football, 2025, University Of Arkansas, Fayetteville. Athletics Media Relations Jan 2025

Arkansas Football, 2025, University Of Arkansas, Fayetteville. Athletics Media Relations

Arkansas Football

No abstract provided.


Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image, Marta Veganzones Rodriguez, Thinh Phan, Arthur F.A. Fernandes, Vivian Breen, Jesus Arango, Michael T. Kidd, Ngan Le Jan 2025

Facial Chick Sexing: An Automated Chick Sexing System From Chick Facial Image, Marta Veganzones Rodriguez, Thinh Phan, Arthur F.A. Fernandes, Vivian Breen, Jesus Arango, Michael T. Kidd, Ngan Le

Computer Science and Computer Engineering Faculty Publications and Presentations

Chick sexing, the process of determining the gender of day-old chicks, is a critical task in the poultry industry due to the distinct roles that each gender plays in production. While effective traditional methods achieve high accuracy, color, and wing feather sexing is exclusive to specific breeds, and vent sexing is invasive and requires trained experts. To address these challenges, we propose a novel approach inspired by facial gender classification techniques in humans: facial chick sexing. This new method does not require expert knowledge and aims to reduce training time while enhancing animal welfare by minimizing chick manipulation. We develop …


Human Serum Albumin Interaction With Organochlorine Pesticides, D. S. Sanford, R. Yadav, A. Mishra Jan 2025

Human Serum Albumin Interaction With Organochlorine Pesticides, D. S. Sanford, R. Yadav, A. Mishra

Journal of the Arkansas Academy of Science

Human serum albumin (HSA) is the most abundant blood plasma protein and plays a crucial role in drug transport and physiological homeostasis. HSA has a highly flexible structure consisting of three domains, each with multiple binding sites lined with hydrophobic and hydrophilic residues. The structural properties of HSA make it a robust reservoir and receptor for various endogenous and exogenous compounds, including therapeutic drugs. Organochlorine pesticides (OCPs) are a subclass of pesticides characterized by their chlorine content. Once widely used, these compounds remain persistent in the environment and biological systems despite regulatory restrictions in many developed countries. The strong ligand-binding …


Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniels Dobbs, Khoa Luu Jan 2025

Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniels Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

Social group activity recognition is crucial for various applications including surveillance, human-robot interaction, and behavioral analysis. Current approaches often require extensive manual annotations and rely heavily on pre-trained detectors, limiting their practical applications. Additionally, existing methods struggle to effectively model long-term spatiotemporal relationships in group activities. This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To extract spatio-temporal information, we create local and global views with varying frame rates. Our self-supervised objective ensures that features extracted from contrasting views of the same video are consistent across …


Geogenie: A Deep Learning Approach To Predict Geographic Provenance Of Biodiversity Samples From Genomic Snps, Bradley T. Martin, Zachery D. Zbinden, Michael E. Douglas, Marlis R. Douglas, Tyler K. Chafin Jan 2025

Geogenie: A Deep Learning Approach To Predict Geographic Provenance Of Biodiversity Samples From Genomic Snps, Bradley T. Martin, Zachery D. Zbinden, Michael E. Douglas, Marlis R. Douglas, Tyler K. Chafin

Biological Sciences Faculty Publications and Presentations

Motivation Determining geographic origin of samples is a common objective in wildlife management, forensics, and conservation. Current methods often assume evolutionary models or require extensive reference datasets, which are costly and difficult to develop, that perform poorly with uneven or biased sampling. Supervised deep learning offers a promising alternative by learning complex patterns without prior model specifications. Combined with novel geo-genetic data augmentation and preprocessing techniques, it can reduce reference panel demands and improve performance across diverse sampling schemes, broadening accurate provenance determination to more study systems.Results We present GeoGenIE, an open-source software package powered by PyTorch for geographic provenance …


Eeg-Based Multi-Scale Perturbed Brain Cognitive Pattern Recognition Network For Gamer Level Classification, Lijun Jiang, Yanping Chen, Kexuan Liu, Xingyuan Chen, Li Dong, Weiya Ma, Diankun Gong, Dezhong Yao Jan 2025

Eeg-Based Multi-Scale Perturbed Brain Cognitive Pattern Recognition Network For Gamer Level Classification, Lijun Jiang, Yanping Chen, Kexuan Liu, Xingyuan Chen, Li Dong, Weiya Ma, Diankun Gong, Dezhong Yao

General Human Environmental Sciences Faculty Publications and Presentations

Electroencephalogram (EEG)-based classification of video game experts versus amateurs reveals cognitive brain patterns underlying complex abilities, with applications in attention modulation, medical rehabilitation, and health monitoring. While deep learning has advanced EEG-based cognitive state detection, challenges remain in extracting meaningful patterns from noisy data and preventing reverse inference attacks on user privacy. Here, we propose a novel multi-scale perturbed brain cognitive pattern recognition network (MsPE). Its key contributions are: (1) a multi-scale weak encryption method with attention mechanisms that protects privacy by perturbing EEG signals in temporal and frequency domains; (2) ConvFormer modules with adaptive channel sizes (3, 5, 15) …


Executive Compensation: The Role Of Human Capital And Geographic Preferences, Panagiotis Giannakis, Dorothea Roumpi, Lauren E. Aydinliyam, John E. Delery Jan 2025

Executive Compensation: The Role Of Human Capital And Geographic Preferences, Panagiotis Giannakis, Dorothea Roumpi, Lauren E. Aydinliyam, John E. Delery

Management Faculty Publications and Presentations

Human capital is crucial for sustainable competitive advantage, and certain workforce groups have a greater impact than others. The top management team, responsible for directing firm strategy and structure, is one such group, and executive turnover can be detrimental for a firm. While existing literature often suggests that executives change jobs primarily for higher pay, this is not always true. Drawing on human capital research and the geographic preference theory, we examine how an executive’s human capital and geographic preferences affect changes in compensation during job transitions. Using a sample of 351 executives who moved among S&P 500 companies from …


Orchestrating Digital Technologies With Incumbent Enterprise Systems For Attaining Innovation, Sachithra Lokuge, Darshana D. Sedera, Varun Grover, Suprateek Sarker Jan 2025

Orchestrating Digital Technologies With Incumbent Enterprise Systems For Attaining Innovation, Sachithra Lokuge, Darshana D. Sedera, Varun Grover, Suprateek Sarker

Information Systems Faculty Publications and Presentations

In the late 1990s, most organizations adopted enterprise systems (ES) to automate their core business processes. The very same organizations are presented with a new wave of opportunities to innovate with digital technologies—technologies that purport to have diametrically opposed characteristics to ES. This study explores how organizations integrate digital technologies with their incumbent ES for attaining innovation. The study followed a qualitative approach and gathered data from four organizations consisting of six such projects. By applying a unique theoretical foundation, this study derives interesting insights into the orchestration process of ES and digital technologies for attaining innovation.


Distinct Composition-Dependent Topological Hall Effect In Mn2-Xznxsb, Md Rafique Un Nabi, Yue Li, Suzanne G.E. Te Velthuis, Santosh Karki Chhetri, Dinesh Upreti, Rabindra Basnet, Gokul Acharya, Charudatta Phatak, Jin Hu Jan 2025

Distinct Composition-Dependent Topological Hall Effect In Mn2-Xznxsb, Md Rafique Un Nabi, Yue Li, Suzanne G.E. Te Velthuis, Santosh Karki Chhetri, Dinesh Upreti, Rabindra Basnet, Gokul Acharya, Charudatta Phatak, Jin Hu

Physics Faculty Publications and Presentations

Spintronics, an evolving interdisciplinary field at the intersection of magnetism and electronics, explores innovative applications of electron charge and spin properties for advanced electronic devices. The topological Hall effect (THE), a key component in spintronics, has gained significance due to emerging theories surrounding noncoplanar chiral spin textures. This study focuses on Mn2-xZnxSb, a material crystalizing in centrosymmetric space group with rich magnetic phases tunable by Zn contents. Through comprehensive magnetic and transport characterizations, we found that the high-Zn (x > 0.6) samples display THE which is enhanced with decreasing temperature, while THE in the low-Zn ( …


Reconfigurable Photonic Lattices Based On Atomic Coherence, Jiaqi Yuan, Shun Liang, Qingsong Yu, Chiangbao Li, Yanpeng Zhang, Min Xiao, Zhaoyang Zhang Jan 2025

Reconfigurable Photonic Lattices Based On Atomic Coherence, Jiaqi Yuan, Shun Liang, Qingsong Yu, Chiangbao Li, Yanpeng Zhang, Min Xiao, Zhaoyang Zhang

Physics Faculty Publications and Presentations

The array of coupled optical waveguides, which is also viewed as a photonic lattice, can exhibit abundant photonic band structures depending on the desired spatial arrangements of involved waveguides. Studies of photonic lattices are usually performed in solid-state materials, where the required periodic susceptibilities can be achieved by employing the femtosecond laser direct-writing or optical induction method, and have spawned flourishing achievements in manipulating the behaviors of light. Recently, the concept of electromagnetically induced photonic lattice (EIPL) is proposed under the well-known electromagnetically induced transparency (EIT) in coherently prepared multilevel alkali-metal atomic systems, where the strong coupling beams producing EIT …


Exploring The Effect Of Item Parceling Strategies And Number Of Items Per Parcel On Measurement Invariance Testing In Confirmatory Factor Analysis, Chunhua Cao, Xinya Liang Jan 2025

Exploring The Effect Of Item Parceling Strategies And Number Of Items Per Parcel On Measurement Invariance Testing In Confirmatory Factor Analysis, Chunhua Cao, Xinya Liang

Psychological Science Faculty Publications and Presentations

Item parceling is common in structural equation modeling used in psychology, especially when the research interest is in the structural relationship between latent factors, but research on its performance in measurement invariance testing is scarce. This study examined the sensitivity of fit measures (LRT, RMSEA, CFI, AIC, BIC, and SaBIC) to measurement noninvariance with different numbers of items per parcel and parceling strategies using a simulation study. The design factors included the location of measurement noninvariance, the magnitude of measurement noninvariance, the proportion of items with measurement noninvariance, sample size, number of items per parcel, and parceling strategies. Results suggested …


Biphasic Models Improved S-Metolachlor Dissipation Endpoint Predictions, K. Badou-Jeremie Kouame, Mary Savin, Cammy Willett, Thomas R. Butts, Erin Grantz, Matthew Bertucci, Samantha E. Robinson, Rodrigo Werle, Nilda Roma-Burgos Dec 2024

Biphasic Models Improved S-Metolachlor Dissipation Endpoint Predictions, K. Badou-Jeremie Kouame, Mary Savin, Cammy Willett, Thomas R. Butts, Erin Grantz, Matthew Bertucci, Samantha E. Robinson, Rodrigo Werle, Nilda Roma-Burgos

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Accurate predictions of herbicide dissipation endpoints are essential for making environmental management decisions, estimating the duration of weed control, and deciding crop replant and rotation options. The performance of the single first-order (SFO), first-order multiple-compartment (FOMC), bi-exponential (BEXP), first-order double-exponential decay (FODED), and first-order two-compartment (FOTC) was evaluated to describe S-metolachlor dissipation. Results showed that the BEXP and FOTC were not appropriate. The FODED was ranked as the top model with the lowest Akaike's information criterion (AICc) value among the other three candidate models and was followed by the FOMC model. The SFO displayed the largest root mean square …


Essential Practices And Attributes Of Integrated Stem In Elementary Education, Leah R. Cheek, Vinson Carter, Michael K. Daugherty, Christian Z. Goering Dec 2024

Essential Practices And Attributes Of Integrated Stem In Elementary Education, Leah R. Cheek, Vinson Carter, Michael K. Daugherty, Christian Z. Goering

Curriculum and Instruction Faculty Publications and Presentations

Throughout the 21st century, STEM education’s effectiveness remains a focal point for researchers, policymakers, and employers. Despite substantial investments, student engagement in science, technology, engineering, and mathematics has remained essentially unchanged. Researchers persistently face challenges in expanding STEM pedagogy and improving teachers’ classroom practices, directly impacting student performance. Proposals for professional development for teachers abound, yet its success hinges on relevance and collaboration. This study utilized a three-round modified Delphi panel to identify essential P-6 integrated STEM education practices. The findings emphasize the need for dynamic, student-centered approaches coupled with continuous fine-tuning of teaching techniques. This connection is crucial for …


An Examination Of Academic Library Platforms And Systems During Covid-19, Cole Hudson, Paul Gallagher Dec 2024

An Examination Of Academic Library Platforms And Systems During Covid-19, Cole Hudson, Paul Gallagher

University Libraries Faculty Publications and Presentations

This paper examines the use and subsequent trajectory of academic library technologies due to the impact of the COVID-19 pandemic. Taking a broad view of technologies, the systems and services discussed will center around resource use because COVID restrictions shuttered many in-person technologies. The two academic libraries compared in this study show a similar pattern of use and signal growth of certain platforms and technologies for the future.


Land Cover Effects On Stream Water Chemistry In The Upper Saline River Watershed, Brandy Everett Dec 2024

Land Cover Effects On Stream Water Chemistry In The Upper Saline River Watershed, Brandy Everett

Graduate Theses and Dissertations

Non-point source (NPS) pollutants and the conversion of natural areas to anthropogenic uses are one of the most critical stressors on water quality. The Upper Saline River Watershed has seen an increase in anthropogenic land cover over the last two decades, leading it to be previously identified as a 319 NPS priority watershed in Arkansas. This study used publicly available data to assess the magnitude and trends of total nutrients (TN and TP) at both the watershed and site level scale. Results suggest a decrease of 2.6%/yr in TN concentrations and 1.5%/yr in TP concentrations at the watershed scale. While …


Learning To Accelerate Globally Optimal Solutions: Applications In The Ac Optimal Power Flow Problem, Muhammet Fatih Cengil Dec 2024

Learning To Accelerate Globally Optimal Solutions: Applications In The Ac Optimal Power Flow Problem, Muhammet Fatih Cengil

Graduate Theses and Dissertations

The Alternating Current Optimal Power Flow (AC-OPF) problem is a fundamental optimization challenge critical to ensuring the economical and reliable operation of power grids. While fast heuristic methods provide upper-bound solutions, assessing their quality requires lower bounds obtained from relaxations of the AC-OPF problem. This dissertation focuses on finding globally optimal solutions to the AC-OPF problem by enhancing the effectiveness and efficiency of Quadratic Convex (QC) relaxations. Leveraging machine learning techniques, we aim to achieve tighter relaxations faster and improve computational performance, enabling practical scalability for real-time applications.

In Chapter 2, we propose a machine learning-based method to accelerate the …


Graphene-Based Antennas Utilizing Polyvinylidene Fluoride (Pvdf) Substrates For Attenuation, Josef Frankhouse Dec 2024

Graphene-Based Antennas Utilizing Polyvinylidene Fluoride (Pvdf) Substrates For Attenuation, Josef Frankhouse

Mechanical Engineering Undergraduate Honors Theses

In this study, a Terahertz (THz) band antenna which can regulate its own resonant frequency without the requirement of manual adjustment is simulated. A polyvinylidene fluoride (PVDF) substrate is applied onto a rectangular graphene patch antenna. With a voltage potential applied onto the PVDF, the patch antenna can attenuate its frequency by physically changing the shape of the antenna, and in turn its resonant frequency. These antennas are within a 0.1 THz band between 1.32 THz to 1.22 THz measured from a radial bend of a flat surface to r = 75 , fitting into a return loss (S11 …


Reducing Token Redundancy In Video-Language Models Via Memory Consolidation Algorithm, Matt Couts Dec 2024

Reducing Token Redundancy In Video-Language Models Via Memory Consolidation Algorithm, Matt Couts

Electrical Engineering and Computer Science Undergraduate Honors Theses

Video Question Answering (VideoQA) focuses on developing mod- els capable of engaging in natural language conversations about video con- tent. Current state-of-the-art typically analyze videos frame-by-frame, a process that is both computationally and memory-intensive. Integrating the Atkinson-Shiffrin memory model with Video Language Models has demon- strated potential for enhancing video understanding capabilities. Reducing the number of frames processed by the model is a crucial operation in this approach, which is achieved by a memory consolidation algorithm. This al- gorithm condenses a video sequence into a small set of representative frames which capture the essence of the video content. However, due …


Quantum Visual Feature Encoding Revisited, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu Dec 2024

Quantum Visual Feature Encoding Revisited, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu

Computer Science and Computer Engineering Faculty Publications and Presentations

Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information preservation of the visual features after the encoding process, thus complicating the learning process of the quantum machine learning models. In particular, the problem, termed the “Quantum Information Gap” (QIG), leads to an information gap between classical and corresponding quantum features. We provide theoretical proof and practical examples with visualization …


An Analysis Of Policies, Practices, And Barriers To Create A Multi-Dimensional Approach To Renewable Energy Transition For Us Communities, Hanan Wehbi Dec 2024

An Analysis Of Policies, Practices, And Barriers To Create A Multi-Dimensional Approach To Renewable Energy Transition For Us Communities, Hanan Wehbi

Graduate Theses and Dissertations

The transition from fossil fuel-derived energy resources to clean, renewable, affordable, and reliable energy necessitates a comprehensive approach. This approach must incorporate an interdisciplinary contribution to ensure the sustainability, efficiency, and resilience of the energy system. In the United States, many communities and local governments are developing ambitious plans, regulations, and targets to support the renewable energy transition and enhance energy efficiency. This research builds on the principles of sustainable development planning and transition theory to develop a framework that assists communities in planning their renewable energy (RE) transition and integrate these plans in their long- and short-term development approaches. …


Citizens’ Perceptions Of Wetlands Before And During The Restoration Of A Local Wetland, Delaney Ringgold Dec 2024

Citizens’ Perceptions Of Wetlands Before And During The Restoration Of A Local Wetland, Delaney Ringgold

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

This study investigates the impact of a wetland restoration project on homeowners' perceptions and knowledge of wetlands in a residential area in Fayetteville, Arkansas. The research employs a pre- and during-restoration survey methodology to assess shifts in public perception and awareness of wetland environments. As part of the restoration project, native vegetation was reintroduced, and non-native species were removed, with the goals of ecological enhancement and improving the visual appeal of the wetland area. Surveys, consisting of Likert-scale questions and open-ended responses, were administered to homeowners before and during the restoration process to capture changes in demographic factors, wetland knowledge, …


Analyzing Food Sources And Food Insecurity Of Kichwa Farming Families In The Ecuadorian Amazon, Reina Watanabe Dec 2024

Analyzing Food Sources And Food Insecurity Of Kichwa Farming Families In The Ecuadorian Amazon, Reina Watanabe

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

While the right to food is internationally recognized and the United Nations established the sustainable development goal to end hunger and achieve food security by 2030, many households remain without consistent access to food in 2024. In Latin America, approximately 4 in 10 households were reported as food insecure in 2020 with higher rates in rural and indigenous communities. Rural areas, which have great overlap with indigenous communities in Ecuador, experience disproportionately high levels of poverty and food insecurity compared to urban areas. The most populous indigenous nationality in the Ecuadorian Amazon and the participants of this study are the …


The Elusive Nature Of Martian Liquid Brines, Vincent F. Chevrier, Rachel A. Slank Dec 2024

The Elusive Nature Of Martian Liquid Brines, Vincent F. Chevrier, Rachel A. Slank

Space and Planetary Science Faculty Publications and Presentations

The possible presence of brines on Mars adds an intriguing dimension to the exploration of Martian environments. Their potential involvement in the formation of recurring slope lineae has sparked debates on the existence of liquid water versus alternative dry processes. In situ instrumentation on rovers and landers has been instrumental in providing valuable data for comprehending the dynamics of brines. Laboratory experiments and thermodynamic simulations conducted under Martian conditions offer insights into the formation and persistence of brines, shedding light on the planet’s current hydrological processes. Despite these findings, the prevailing surface conditions on Mars, characterized by a combination of …


Investigating The Perceived Invisibility Of The Black Woman Leader In Fortune 500 Companies: Understanding Career Pathways Based On Insight And Intersectionality, Shana Jones Yarberry Dec 2024

Investigating The Perceived Invisibility Of The Black Woman Leader In Fortune 500 Companies: Understanding Career Pathways Based On Insight And Intersectionality, Shana Jones Yarberry

Graduate Theses and Dissertations

There is a gap in the literature when examining the intersectionality of race, gender, and class. There is additional distance when evaluating the impact each intersection has on the career development of Black Women (BW) in Fortune 500 companies. The purpose of this study was to use a qualitative approach to investigate how the intersectionality of race, gender, and class impact the career advancement of BW while also identifying perceived barriers, historical patterns of career movement, and organizational efforts to support the ascension of BW in senior leadership. The Systems Theory Framework of Career Development and Intersectionality Theory were examined …


Design And Fabrication Of Graphene Solar Cells For Low-Power Energy Harvesting Systems, Tamzeed Bani Amin Dec 2024

Design And Fabrication Of Graphene Solar Cells For Low-Power Energy Harvesting Systems, Tamzeed Bani Amin

Graduate Theses and Dissertations

This study presents the design and fabrication of graphene-based Schottky junction solar cells integrated into a 3-volt power system for low-power applications. Utilizing standard semiconductor processing methods, including selective oxide removal, metal contact deposition, and large-area graphene transfer, we fabricated solar cells from a silicon wafer coated with a thermal oxide layer. Each individual solar cell generated up to 270 µA of short-circuit current and an open-circuit voltage of 420 mV under illumination. We connected multiple solar cells in series to produce a total output of 3.3 volts, which is sufficient to recharge a 3-volt battery. The system, comprising these …


Evaluation Of Industrial Hemp Cultivar And Biochar Rate To Remediate Heavy-Metal-Contaminated Soil From The Tar Creek Superfund Site, Usa, Dietrich V. Thurston, Kristofor R. Brye, David M. Miller, Philip A. Moore Jr., Donald M. Johnson, Mike Richardson Dec 2024

Evaluation Of Industrial Hemp Cultivar And Biochar Rate To Remediate Heavy-Metal-Contaminated Soil From The Tar Creek Superfund Site, Usa, Dietrich V. Thurston, Kristofor R. Brye, David M. Miller, Philip A. Moore Jr., Donald M. Johnson, Mike Richardson

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Soil contamination by cadmium (Cd), lead (Pb), and zinc (Zn) at the Tar Creek superfund site in northeast Oklahoma, United States, remains a threat to the environment and local ecosystem. Phytoremediation with industrial hemp (Cannabis sativa L.) and the use of biochar (BC) have been independently shown to be effective methods to remediate heavy-metal-contaminated soils. The objective of this greenhouse study was to evaluate the effects of industrial hemp cultivar (‘Carmagnola’ and ‘Jinma’), biochar rate (0, 2, 5, and 10% by volume), soil contamination level (low, medium, and high), and their interactions on above- (AG) and belowground dry matter …


Rice Response To Struvite And Other Phosphorus Fertilizers In A Phosphorus-Deficient Soil Under Simulated Furrow-Irrigation, Jonathan B. Brye, Diego Della Lunga, Kristofor R. Brye Dec 2024

Rice Response To Struvite And Other Phosphorus Fertilizers In A Phosphorus-Deficient Soil Under Simulated Furrow-Irrigation, Jonathan B. Brye, Diego Della Lunga, Kristofor R. Brye

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Wastewater-recovered phosphorus (P), in the form of the mineral struvite (MgNH4PO4⋅6H2O), may provide a sustainable alternative to decreasing rock-phosphate reserves. Struvite can be generated via precipitation methods, potentially reducing the amount of P runoff to aquatic ecosystems. The objective of this greenhouse tub study was to evaluate the effects of chemically- and electrochemically precipitated struvite (CPST and ECST, respectively) on above- and belowground plant response in a hybrid rice (Oryza sativa) cultivar grown using furrow-irrigation compared to other common fertilizer-P sources [i.e., triple super phosphate (TSP) and diammonium phosphate (DAP)]. Rice was …


Array Of Graphene Solar Cells On 100 Mm Silicon Wafers For Power Systems, Syed M. Rahman, Md R. Kabir, Tamzeed B. Amin, James M. Mangum, Ashaduzzaman, Paul M. Thibado Dec 2024

Array Of Graphene Solar Cells On 100 Mm Silicon Wafers For Power Systems, Syed M. Rahman, Md R. Kabir, Tamzeed B. Amin, James M. Mangum, Ashaduzzaman, Paul M. Thibado

Physics Faculty Publications and Presentations

High electrical conductivity and optical transparency make graphene a suitable candidate for photovoltaic-based power systems. In this study, we present the design and fabrication of an array of graphene-based Schottky junction solar cells. Using mainstream semiconductor manufacturing methods, we produced 96 solar cells from a single 100 mm diameter silicon wafer that was precoated with an oxide layer. The fabrication process involves removing the oxide layer over a select region, depositing metal contacts on both the oxide and bare silicon regions, and transferring large-area graphene onto the exposed silicon to create the photovoltaic interface. A single solar cell can provide …