Digital Commons Network^™

Evaluation Of Heavy Metal Bioaccumulation And Growth In Hemp From Chicken Manure, Vermicompost, And Wastewater Sludge With Biochar And Health Risk Assessment, Chutiphan Sangsoda

Chulalongkorn University Theses and Dissertations (Chula ETD)

Hemp (Cannabis sativa L.) has become an economically valuable crop with a wide range of benefits. To promote more sustainable agricultural systems, the use of recycled substrates has increasingly replaced traditional fertilizers. However, substrates such as dry chicken manure, vermicompost, and wastewater sludge (WWS) combined with biochar often contain heavy metal contaminants, which may pose health risks through exposure to hemp. This study investigated three cultivars Rosella, Superwoman S1, and Red Robin over a 120-day period. The objectives were: (1) to compare the effects of dry chicken manure, vermicompost, and wastewater sludge (with and without biochar) on soil nutrient quality …

Mitigation Of Antibiotic Resistance Using Ultraviolet Light-Emitting Diodes For Water Treatment, Nicole Heyniger, Patrick J. Mcnamara, Anthony D. Kappell, Brandon Schultz, Troy Skwor, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

The presence of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in the environment is a growing issue, which has been exacerbated by the overuse and misuse of antibiotics in health care and agricultural systems. One means of mitigating antibiotic resistance is through drinking water and wastewater treatment, specifically during disinfection processes. Ultraviolet light-emitting diodes (UV-LEDs) are an emerging disinfection technology featuring adjustable peak wavelength emissions. We assessed the use of UV-LED for treating waterborne ARB (Escherichia coli and Aeromonas hydrophila) and ARGs (intracellular and extracellular) compared to conventional low-pressure UV (LP-UV). Overall, less efficient reduction (bacterial inactivation and/or gene …

Veritas Brand Guidelines Book, Matteo Lopergolo

Student Research Design & Innovation Symposium

This project followed the development of a comprehensive visual identity standard for the fictitious brand, Veritas International Airlines. The project demonstrated the designer’s thorough understanding of visual identity systems and the application of design principles to create a cohesive and effective brand representation. The designer transformed a basic logo into a fully realized visual identity system, culminating in the creation of a brand standards guide booklet which effectively communicated the brand's identity. A brand standards book ensures consistent use of a brand’s visual and messaging elements, detailing guidelines for logos, colors, typography, and tone. The designer elevated and refined the …

Harlem Baking Co., Carm Reed, Julia Tyras, Matteo Lopergolo

Student Research Design & Innovation Symposium

Harlem Baking Co. (HBC) is a business located in New York City that handmakes "Little Jars of Happiness." Their desserts come in a variety of flavors (from New York cheesecake to chocolate lava cake) and are baked inside reusable Jars. The team was tasked with redesigning their logo and packaging in partnership with Dr. Jeff Binczyk's marketing class, and designed a website, fridge wrap, and AD campaign. HBC was also kind enough to send samples of their desserts for a photoshoot, which resulted in some amazing photos that are currently on display in their current ads.

Bird Strikes During Climb And Approach: A Need For Innovative Management Strategies, Richard A. Dolbeer, Michael J. Begier

Human–Wildlife Interactions

Wildlife Hazard Management Plans at civil airports in the United States cannot directly address threats posed by birds moving through aircraft climb and approach paths unrelated to nearby bird-attractant habitats such as landfills. As an iconic example, an Airbus 320 departing LaGuardia Airport (New York, USA) on January 15, 2009, struck a flock of migratory Canada geese (Branta canadensis) 8 km out at 884 m above ground level (AGL) that resulted in a water landing now known as the “Miracle on the Hudson.” We documented 1,841 and 458 strikes from 2009 to 2023 involving large (≥1.8 kg) and …

Whipped Into Shape: Infrastructure As Punishment For The Unruly Citizen, Eliza Mortimer

Anthós

This article interrogates how inflexible designs and policies of airline seating, as well as critical socio-political rhetoric, discipline and marginalize bodies that do not conform to normative standards. Situating airline seating within fat and disability studies models, Mortimer argues that these punitive measures are not neutral, but rather reflective of cultural narratives of productivity, morality, and bodily discipline. Mortimer draws from ethnographic analyses of first-person accounts and policy reviews to demonstrate how shrinking seats, rigid policies, and moralized discourse construct a “space of calculability” that pressures fat individuals to monitor and minimize their bodies to justify their presence in public …

Comparison Of Dynamic Mode Decomposition With Other Data-Driven Models For Lung Cancer Incidence Rate Prediction, L. Raymond Guo, Jifu Tan, M. Courtney Hughes

Faculty Articles, Papers, and Other Scholarship

Introduction: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. Machine learning offers powerful tools but can be computationally expensive and require specialized knowledge. Dynamic mode decomposition (DMD) is an alternative that offers efficient analysis with fewer resources. This study explores applying DMD in public health using lung cancer data and compares it with other machine learning models.

Methods: We analyzed lung cancer incidence data (2000–2021) from 1,013 US counties. Machine learning models (random forest, gradient boosting machine, support vector machine) …

Ecobuoys For Scalable Oceanography, Anuscheh Nawaz, Michael Steele, Ruth Branch, David Burnett, Kuotian Liao, Mallory Parker, Eleftheria Roumeli

Electrical and Computer Engineering Faculty Publications and Presentations

An approach to scalable surface-drifting buoys is needed to enable the high spatial and temporal resolution of oceanographic data that the science and meteorological communities are asking for. With the number of active buoys predicted to increase by a factor of 100 or more, the impact on the environment becomes even more important. Here, we present a pathway to a scalable and sustainable generation of buoys. We identify the main criteria to be used when developing such buoys to be low cost, with reliable data and neutral or even positive environmental impact. For each buoy subsystem—hull, electronics, energy generation and …

Movie Genre Classification Using Script Texts, Michael Roman Cuomo

Electronic Theses and Dissertations 2020 - Present

Genres are used to classify movies so that they can be grouped with others that have similar themes and structures. These classifications are categories created by humans. In the process of creating a movie, a script is often the first creation to write and share ideas about a topic. The script contains large amounts of text that is used to describe the dialog, setting and direction of the film. Although the script contains important information for the film, the amount of text can present a challenge for machine learning algorithms. Often in studies on film classification, if text is used, …

Vilp: Imitation Learning With Latent Video Planning, Zhengtong Xu, Qiang Qiu, Yu She

School of Industrial Engineering Faculty Publications

In the era of generative AI, integrating video generation models into robotics opens new possibilities for the general-purpose robot agent. This letter introduces imitation learning with latent video planning (VILP). We propose a latent video diffusion model to generate predictive robot videos that adhere to temporal consistency to a good degree. Our method is able to generate highly time-aligned videos from multiple views, which is crucial for robot policy learning. Our video generation model is highly time-efficient. For example, it can generate videos from two distinct perspectives, each consisting of six frames with a resolution of 96 × 160 pixels, …

Shaping Engineering Technology Students’ Perceptions Of Manufacturing Through Experiential Learning In A Flipped Classroom – A Case Study, Rustin Webster

School of Engineering Technology Faculty Publications

This study examined how an introductory, survey-based manufacturing systems and processes course – which uniquely integrated a flipped classroom structure and multiple experiential learning elements – influenced engineering technology (ET) students’ perceptions of careers, workforce expectations, workplace dynamics, and essential industry skills within manufacturing. Pooled qualitative data from 52 ET student’s pre- and post-course reflection surveys, administered across four cohorts, were analyzed using topic modeling, sentiment analysis, comparative assessments, keyword frequency analysis, and/or impact assessment. The data offered valuable insights into students understanding of essential job skills, definitions of a good job, and perceptions of factory work. Before the course, …

Indiana Stem Teachers’ Perceptions Of The Shift From In-Person To Virtual Training During The Covid-19 Pandemic, Steve Heinold

Indiana STEM Education Conference

The COVID-19 pandemic brought uncertainty to Indiana teachers in 2020. School closings caused disruptions to teachers’ classroom settings, ongoing training, and social and mental well-being (Pozo-Rico et al., 2020). Indiana GEAR UP’s commitment to teacher professional development for STEM educators led to a shift from their in-person summer teacher training sessions to virtual, just months after the school shutdowns in spring 2020. Participant evaluations showed that teachers appreciated the virtual training options and were able to learn new strategies to apply to their new virtual learning spaces. The online training sessions also had drawbacks. This research brief describes recommendations to …

Monitoring A Small Network With Snmp, Dillon Taynor

Williams Honors College, Honors Research Projects

This project takes a look at the implementation of three distinct free Network Monitoring Systems (NMSs) and their usage of monitoring a small, virtualized network using the Simple Network Management Protocol (SNMP). The 3 free NMSs are PRTG, LibreNMS, and Zabbix. The network is virtualized within Cisco Modeling Labs. A literature review on relevant media is conducted alongside a review of the three NMSs based on installation difficulty, user friendliness, reporting ability, and their ability to respond to changes in the network. A brief discussion on the difference between an SNMPv2 and SNMPv3 packet is included as well.

Vibtac: A High-Resolution High-Bandwidth Tactile Sensing Finger For Multi-Modal Perception In Robotic Manipulation, Sheeraz Athar, Xinwei Zhang, Jun Ueda, Ye Zhao, Yu She

School of Industrial Engineering Faculty Publications

Tactile sensing is pivotal for enhancing robot manipulation abilities by providing crucial feedback for localized information. However, existing sensors often lack the necessary resolution and bandwidth required for intricate tasks. To address this gap, we introduce VibTac, a novel multi-modal tactile sensing finger designed to offer high-resolution and high-bandwidth tactile sensing simultaneously. VibTac seamlessly integrates vision-based and vibration-based tactile sensing modes to achieve high-resolution and high-bandwidth tactile sensing respectively, leveraging a streamlined human-inspired design for versatility in tasks. This paper outlines the key design elements of VibTac and its fabrication methods, highlighting the significance of the Elastomer Gel Pad (EGP) …

Silent Sabotage: Identifying And Preventing Cyber Attacks From Inside Actors, Autumn Groen

Williams Honors College, Honors Research Projects

Cyber-attacks are becoming increasingly common and damaging as technology advances each year. Many businesses cannot afford the latest security technologies, and even with the highest security measures, there can still be room for employee error or insider threats that are not taken into account. It is crucial to keep these factors in mind when securing a business network of any size or financial standing.This project will aim to simulate a business environment by first building a small network with three routers and a switch, and implementing some of the common best practices for network hardening from credible organizations like NIST …

Passive Phosphorus Filtering System Design, Ryan T. Bailey

Williams Honors College, Honors Research Projects

The objective of this project is to find an efficient way to remove phosphorus from surface water through passive filtration. Specifically, the project will focus on the upper Cuyahoga River. Ongoing research being conducted by Dr. Teresa Cutright from The University of Akron and Jessica Glowczewski from the City of Akron’s Watershed Division serves as a basis for this project.

Fertilizers used in agriculture are often washed off by rainfall and enter the groundwater and nearby streams. The phosphorus contained in the fertilizer can be harmful to the environment by increasing the frequency of large algal blooms. To reduce the …

Lilly Reich: La Mente Detrás Del Mobiliario Moderno Que La Historia Olvidó, Noa Llanas Angrill

GDI. Revista de investigación de Género, Diseño e Innovación

La historia ha sido escrita desde una perspectiva que se ha invisibilizado las contribuciones femeninas en su desarrollo. Este artículo se centra en Lilly Reich (1885-1947), figura clave del diseño moderno, cuya autoría ha sido eclipsada por la de su colaborador Ludwig Mies van der Rohe. La investigación evidencia que la diseñadora no solo contribuyó al diseño de mobiliario moderno y de espacios expositivos, sino que lideró proyectos clave y que su trabajo ha impactado en el diseño expositivo, textil y mobiliario moderno.

Improving The Robustness Of Compressed Deep Learning Models Against Class Imbalance, Baraa Saeed Ali

Wayne State University Dissertations

Deep Learning (DL) models are deployed ubiquitously, as they power a wide range of critical applications, including image classification, fraud detection, autonomous vehicles, robots, and NLP. However, their massive size and huge memory footprint (overparameterization) represent a serious challenge to the efficient deployment of such models, especially in resource-scarce environments such as wearable devices, smartphones, edge devices, and embedded systems. Therefore, model compression techniques are typically used to shrink the model size to the currently available computational and memory budget and to accelerate training and inference without sacrificing model accuracy and performance. Therefore, the DL research community considers model compression …

Neurotensin Regulates Primate Ovulation Via Multiple Neurotensin Receptors, Andrew C. Pearson, Jessica S. Miller, Hannah J. Jensen, Ketan Shrestha, Thomas E. Curry Jr., Diane M. Duffy

Department of Biomedical and Translational Sciences Faculty Publications

Neurotensin (NTS), a small neuropeptide, was recently established as a key paracrine mediator of ovulation. NTS mRNA is highly expressed by granulosa cells in response to the luteinizing hormone (LH) surge, and multiple NTS receptors are expressed by cells of the ovulatory follicle. To identify the role of NTS receptors NTSR1 and SORT1 in ovulation in vivo, the dominant follicle of cynomolgus macaques (Macaca fascicularis) was injected with either vehicle control, the general NTS receptor antagonist SR142948, the NTSR1-selective antagonist SR48692, or the SORT1-selective antagonist AF38469. Human chorionic gonadotropin (hCG) was then administered to initiate ovulatory events. …

Development Of An Examination Hall Malpractice Detection System Using Pose Estimation And Machine Learning, Etinosa Noma-Osaghae, Udoumoh John David, Joshua Sokowonci Mommoh, Olusogo Julius Adetunji, Oyedeji Ayo Isaac

Mansoura Engineering Journal

Examination malpractice remains a critical concern, driving the need for robust and efficient detection systems to uphold academic integrity. This research introduces a novel approach to examination malpractice detection by leveraging pose estimation and machine learning to address key gaps in existing solutions. Current systems often rely exclusively on either pose estimation or object detection, failing to exploit the synergistic potential of combining these techniques. This study bridges this gap by integrating deep learning models with complementary capabilities to enhance detection accuracy, robustness, and coverage. The proposed methodology utilises OpenPose for precise human pose estimation, enabling the detection of body …

Arginine-Modified Surface Coffee Grounds Activated Carbon For Pb2+ Adsorption: Kinetic, Isotherm And Thermodynamic Studies, Jarawee Chupirom, Sirikorn Khaophong, Nopporn Hemyakorn, Sonchai Intachai, Panita Kongsune

Journal of Metals, Materials and Minerals

This research focuses on enhancing the value of coffee waste by converting it into activated carbon for removing Pb²⁺ ions from contaminated water. Coffee grounds were activated with KOH and carbonized at 600°C for 4 h to produce activated carbon (CGAC), then modified with arginine via hydrothermal treatment at 120°C for 48 h to create Arg-CGAC. The adsorbents' chemical and physical properties were analyzed using SEM, FT-IR, BET, and pHpzc methods. Batch experiments revealed that Arg-CGAC exhibited superior Pb2+ adsorption (223.10 mg∙g‒1) compared to CGAC (119.23 mg∙g‒1) under optimal conditions. Isotherm analysis showed stronger adsorbate-adsorbent interactions and a more endothermic …

Enhancement Of Cell Viability Of The (Ba,Ca)(Zr,Ti)O And Hydroxyapatite Composites For Bone-Repair Applications, Jirapa Tangsritrakul, Manita Boonchoo, Piyanan Boonphayak, Paweena Uppanan, Pakkanun Kaewkong

Journal of Metals, Materials and Minerals

In this work, the influence of hydroxyapatite (HA) addition to the calcium/zirconium-doped barium titanate (BCZT) piezoceramic was investigated to evaluate its potential for bone-repair applications. The relationship between the physical, electrical, and biological properties of the (100-x)BCZT-(x)HA composite was observed via various techniques. The HA powder was synthesized via precipitation method, whereas the BCZT powder was produced by solid-state reaction to prepare the (100-x)BCZT-(x)HA composites, where x = 0 wt% to 50 wt%. The results showed that the dielectric, ferroelectric, and piezoelectric properties of the (100-x)BCZT-(x)HA composites decreased dramatically as introducing HA into BCZT due to the occurrence of secondary …

Synergistic Effects Of Ti3c2tx Mxene On The Structural And Dielectric Properties Of Blend-Based Dielectrics, Nitesh Kumar Nath, Rajanikanta Parida, Bichitra Nanda Parida, Nimai C. Nayak

Journal of Metals, Materials and Minerals

The PVDF/PMMA-Ti₃C₂Tx MXene composite (PMC) films are processed via the solution casting method. The various phases (α, β) of PVDF have been identified through analysis using an X-ray diffractometer and Fourier transform infrared spectroscopy instruments. The maximum percentage β phase (%) obtained was 73.15%, which corresponds to a 10.0 wt% composite film. The structural analysis revealed that the Ti3C2Tx nanoparticles are immiscibly distributed throughout the blend matrix, allowing the electrical conductivity and dielectric constant values to noticeably increase at constant frequency. The highest dielectric loss of 0.077 and the highest dielectric constant (εr) of 191.5 …

Pyrolysis And Modification Of Coconut Shell Into Sulfonated Biochar And Its Catalytic Activity On Cellobiose Conversion, Addy Rachmat, Yessi Eka Wahyu, Poedji Loekitowati Hariani, Fahma Riyanti, Fatma Fatma

Journal of Metals, Materials and Minerals

Coconut shell was successfully valorized into sulfonated biochar through carbonization in various temperatures and duration. This work aims to provide suitable solid acid carbonaceous catalyst for cellobiose conversion into valuable product. Sulfonated biochar is characterized to evaluate its crystallinity, sulfonate, and oxygenated functional groups by XRD method and FTIR spectroscopy. The resulting solid acid carbonaceous material was tested toward cellobiose hydrolysis to assess its catalytic activity in various time, temperature, and catalyst weight. FTIR spectra reveals some of the biochar product has sulfonate group as indicated by absorbance band at 1234 cm‒1, 1070 cm‒1 and 1180 cm‒1, which belongs to …

Eco-Friendly Synthesis Of Flower-Like Hierarchical Structure Of Cuo Nps For Advancing Photocatalytic Efficiency And Antibacterial Applications, Yodchai Tangjaideborisut, Shanmugam Shanmugam, Supakorn Boonyuen, Govindasamy Siva, Prema Yugala, Joon Ching Juan, Choowin Phanawansombat, Atchariya Pitintharangkul, Seerangaraj Vasantharaj, Pornpan Pungpo, Pariya Na Nakorn

Journal of Metals, Materials and Minerals

In recent decades, environmental pollution caused by organic dyes and pathogenic microorganisms has posed significant challenges to both ecological and public health. Therefore, the development of multifunctional materials capable of simultaneously degrading dyes and exhibiting antibacterial properties is crucial for effective environmental remediation. Combining photocatalytic dye degradation with antibacterial activity offers a promising approach to address these dual concerns in a single process. The present study investigates the copper oxide nanparticles (CuNPs) were prepared by green synthetic method using bamboo extract for degradation of methylene blue and in inactivation of biological pathogens. The green synthesized CuONPs were characterized various spectroscopic …

Enhancing Efficiency And Productivity Of Microbial Fuel Cells For Optimization Of Wastewater Treatment With Bioenergy Production, Diptimayee Pradhan, Krishna Pada Bauri, Debarpita Ghosal, Satchidananda Mishra, Abhijeet Das, Aditya Raj Singh, Akhil Gedela, Kumbhakarna Mallik, Mohammed Hassan Ali Hbag

Journal of Metals, Materials and Minerals

The primary objective is to remove the pollutants from the wastewater streams and reintegrate them into the water cycle, therefore safeguarding the environment and promoting public health. The utilization of membrane fuel cells (MFCs) enables the conversion of organic molecules present in wastewater into electrical energy, while concurrently generating potable water. To optimize the process, it is essential to understand the parameters that affect the performance and the relevant techniques such as electrode materials, microbial collectives, and operating settings to improve the efficiency and performance of MFC. Thus, it aims to present novel ideas that support the real-world deployment of …

A Review On Recent Progress In Supported Magnetic Nanoparticles: From Synthetic Methods To Applications, Khushboo Dhiman, Ayashkanta Nanda, Navneet Kaur, Manvinder Kaur, Harvinder Singh Sohal, Himanshi Sharma, Meenakshi Verma

Journal of Metals, Materials and Minerals

Magnetic nanoparticles supported on various materials have recently gained significant attention due to their wide range of applications across multiple fields such as catalysis, biomedicine, environmental remediation, and magnetic separation. The support materials are essential for stabilizing magnetic nano-particles and enhancing their properties, thereby improving their performance and versatility. This review presents a comprehensive summary of recent advancements and key developments in supported magnetic nanoparticles, focusing on various support materials including silica, alumina, cellulose, charcoal, polymeric materials, and carbon nanotubes. We also discussed why we needed a shift from conventional nanoparticles to magnetic nanoparticles and from magnetic nanoparticles to supported …

Quantitative Assessment And Validation Of Thermal Profiles In The Protodune-Ii Horizontal Drift Detector Using Computational Fluid Dynamics, Hunter Wallster

Electronic Theses and Dissertations

The Deep Underground Neutrino Experiment (DUNE) aims to advance understanding of neutrino properties using large liquid Argon time projection chambers (LArTPCs). The ProtoDUNE-II Horizontal Drift (HD) detector, constructed at CERN in Switzerland, serves as 1:20 scale prototype to validate design and operational parameters for DUNE’s Far Detectors. Accurate prediction of cryostat thermal behavior is critical to predicting liquid Argon purity distributions and detector performance, motivating the development of a validated computational fluid dynamics (CFD) model. This research extends previous work at South Dakota State University by constructing a higher-fidelity CFD simulation of ProtoDUNE-II HD using Siemens Simcenter StarCCM+® 19.04.007. Geometry …

The Pre-Polarization And Concentration Of Cells Near Micro-Electrodes Using Ac Electric Fields Enhances The Electrical Cell Lysis In A Sessile Drop, Kishor Kaphle, Dharmakeerthi Nawarathna

Electrical & Computer Engineering Faculty Publications

Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses across cells. Unfortunately, these cell lysis devices produce relatively low cell lysis efficiency as electric fields do not reach a significant portion of cells in the sample. Additionally, the utility of syringe pumps for flow cells in and out of the microfluidics channel causes cell loss and low throughput cell lysis. To address these critical issues, we …

Multitec: A Data-Driven Multimodal Short Video Detection Framework For Healthcare Misinformation On Tiktok, Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang

Computer Science Faculty Works

With the prevalence of social media and short video sharing platforms (e.g., TikTok, YouTube Shorts), the proliferation of healthcare misinformation has become a widespread and concerning issue that threatens public health and undermines trust in mass media. This paper focuses on an important problem of detecting multimodal healthcare misinformation in short videos on TikTok. Our objective is to accurately identify misleading healthcare information that is jointly conveyed by the visual, audio, and textual content within the TikTok short videos. Three critical challenges exist in solving our problem: i) how to effectively extract information from distractive and manipulated visual content in …