Digital Commons Network^™

Molybdenum Versus Tungsten Based Polyoxometalates For Highly Effective Methylene Blue Removal, Roula Abi Saad, Ghassan Younes, Mohammad H. El- Dakdouki, Rami Al-Oweini

BAU Journal - Science and Technology

[SiW₁₂O₄₀]^4-(SiW₁₂) and [Mo₈O₂₆]^4- (Mo₈) were synthesized and characterized by Fourier Transform Infrared spectroscopy (FTIR). The prepared polyoxometalates were studied as potential adsorbents for the removal of methylene blue (MB) from an aqueous solution. Various operational parameters—contact time, adsorbent dose, initial dye concentration, pH, and temperature— were meticulously assessed by UV/Vis spectrophotometry to study its impact on the adsorption efficacy. An inverse relationship was observed between the percentage dye removal and the initial dye concentration, highlighting the complexes' superior adsorption capabilities under lower dye loads. The …

Preliminary Water Quality Assessment Using Canadian Water Quality Index Of Ras El-Ain Ponds, South Lebanon, Hussien Ali Fayad, Safaa Baydoun, Mohamad Reda Soliman

BAU Journal - Science and Technology

Water quality deterioration in Lebanon is a pressing national issue and there is a high need for continuous water quality assessment and monitoring of water bodies in the country. This study aims at assessing water quality of Ras El-Ain Ponds, a major natural water resource for domestic use in Tyre district, South Lebanon by using the widely applied Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI). Sampling was conducted during February-March, 2023 and physiochemical and microbiological water quality parameters were determined using standardized methods. Assessed parameters in our study are temperature, turbidity, electrical conductivity (EC), total …

Optimization Of The Bio-Synthesis Of Magnesium Nanoparticles From Staphylococcus Haemolyticus: A Pilot Study, Mariam Bassam, Malak Mezher, Mahmoud Khalil

BAU Journal - Science and Technology

Nanotechnology is developing rapidly. This field has many influences in humans’ life. Nanoparticles (NPs) have many unique properties including the size, shape, morphology, and surface area. The synthesis of NPs could be achieved by three ways: physical, chemical, and biological. However, the biological synthesis of NPs has a priority on the other domains due to its safety and environmental friendship. In this regard, the main objective of this study was to synthesize magnesium (Mg) NPs from the bacterium S. haemolyticus which was isolated from the Lebanese wastewater. Different parameters were applied to detect the best conditions to produce the highest …

Human Gender Classification Using Kinect Sensor: A Review, Hesham Adnan Alabbasi, Florica Moldoveanu, Alin Moldoveanu

BAU Journal - Science and Technology

Human Gender Classification using Kinect sensor aims to classifying people’s gender based on their outward appearance. Application areas of Kinect sensor technology includes security, marketing, healthcare, and gaming. However, because of the changes in pose, attire, and illumination, gender determination with the Kinect sensor is not a trivial task. It is based on a variety of characteristics, including biological, social network, face, and body aspects. In recent years, gender classification that utilizes the Kinect sensor became a popular and essential way for accurate gender classification. A variety of methods and approaches, like machine learning, convolutional neural networks, sport vector machine …

Advancing Polymer Sustainability Through Custom Interpenetrating Polymer Network Synthesis, Processing, And Design, Alexandra Maria Lehman-Chong

Theses and Dissertations

The need for improving polymer sustainability is as ubiquitous as the role of polymers in modern society. Interpenetrating polymer network (IPN) design flexibility offers opportunities for improved polymer sustainability while balancing desired polymer properties for various applications. This work investigates the structure-property-processing relationships of IPNs judiciously designed under the framework of the polymer life cycle. Sustainable polymer design was largely considered at the feedstock and manufacturing stages while considering overall polymer performance. Chemicals from bio-based feedstocks were used to design a full simultaneous polybenzoxazine-epoxy IPN, focusing on the effects of monomer and polymer structure on polymer properties. Processing-property relationships were …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Red Cabbage Juice-Mediated Gut Microbiota Modulation Improves Intestinal Epithelial Homeostasis And Ameliorates Colitis, Emily Jean Wilson, Nagabhishek Sirpu Natesh, Parsa Ghadermazi, Ramesh Pothuraju, Dipakkumar R. Prajapati, Sanjit Pandey, Jussuf T. Kaifi, John R. Dodam, Jeffrey Bryan, Christian L. Lorson, Aude A. Watrelot, Jason M. Foster, Thomas J. Mansell, Siu Hung Joshua Chan, Surinder K. Batra, Jeyamkondan Subbiah, Satyanarayana Rachagani

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Gut microbiota plays a crucial role in inflammatory bowel diseases (IBD) and can potentially prevent IBD through microbial-derived metabolites, making it a promising therapeutic avenue. Recent evidence suggests that despite an unclear underlying mechanism, red cabbage juice (RCJ) alleviates Dextran Sodium Sulfate (DSS)-induced colitis in mice. Thus, the study aims to unravel the molecular mechanism by which RCJ modulates the gut microbiota to alleviate DSS-induced colitis in mice. Using C57BL/6J mice, we evaluated RCJ’s protective role in DSS-induced colitis through two cycles of 3% DSS. Mice were daily gavaged with PBS or RCJ until the endpoint, and gut microbiota composition …

Modeling Of Amine-Based Co2 Capture Process, Zafar Safarovich Turakulov

Chemical Technology, Control and Management

A significant factor influencing climate change is the release of carbon dioxide (CO₂) into the atmosphere as a consequence of human activities such as the combustion of fossil fuels. Climate change can be slowed down by taking action to mitigate industrial-scale CO₂ emissions. Currently, the most advanced technology for capturing CO₂ from industrial flue gases is the post-combustion CO₂ capture based on amine absorption. However, due to the high energy penalties of existing CO₂ capture technologies and insufficient carbon markets, it is necessary to develop methods that compete with these technologies or minimize their …

Determining The Presence And Size Of Shoulder Lesions In Sows Using Computer Vision, Shubham Bery, Tami M. Brown-Bandl, Bradley T. Jones, Gary A. Rohrer, Sudhendu Raj Sharma

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Shoulder sores predominantly arise in breeding sows and often result in untimely culling. Reported prevalence rates vary significantly, spanning between 5% and 50% depending upon the type of crate flooring inside a farm, the animal’s body condition, or an existing injury that causes lameness. These lesions represent not only a welfare concern but also have an economic impact due to the labor needed for treatment and medication. The objective of this study was to evaluate the use of computer vision techniques in detecting and determining the size of shoulder lesions. A Microsoft Kinect V2 camera captured the top-down depth and …

The Role Of Colony Morphology And Substratum Inclination On The Distribution Of Eunicella Verrucosa On Shallow Reefs, Luke Thompson

The Plymouth Student Scientist

Eunicella verrucosa plays an important role in shallow reefs, where they produce a complex 'sheet tree' morphology that supports a variety of benthic-dwelling organisms. E. verrucosa is considered 'vulnerable' by the IUCN Red List, which validates the importance of understanding the biotic and abiotic factors influencing the species morphology and survival. This study analyses how horizontal and vertical slope inclinations influence colony morphology. A population of 115 E. verrucosa colonies were observed at Plymouth's inner breakwater fort at 8–13.8m in depth. The influence of inclination on morphology was investigated by observing colony height, encrusting branch diameter and branch complexity for …

Adjuvant Pluronic F68 Is Compatible With A Plant Root-Colonizing Probiotic, Pseudomonas Chlororaphis O6, Amanda R. Streeter, Anthony Cartwright, Mohammad Zargaran, Anagha Wankhade, Anne J. Anderson, David W. Britt

Biological Engineering Faculty Publications

Plant probiotic bacteria are being increasingly used to maximize both the productivity and quality of field crops. Pseudomonas chlororaphis O6 (PcO6) is a plant root colonizer with probiotic activities. This bacterium produces an array of metabolites, including a group of phenazines that are functional in plant protection. The paper reports responses of PcO6 to a nonionic triblock copolymer surfactant, Pluronic F68. This Pluronic exhibits membrane "healing" activity and improves cryopreservation recovery in eukaryotic cells. The product is FDA-approved and is applied as an adjuvant in formulations used in agriculture, medicine, and biotechnology. Growth of PcO6 on …

Data-Driven Approaches To System Analysis And Control Design, Minh Vu

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this thesis, we study the integration of data and computational methods in nonlinear system analysis and control design. In the first part of this thesis, we develop a constructive framework for designing a set of candidate functions from data such that desired control-theoretic conditions are satisfied. This new design framework is aimed at offering a general data-driven approach to a number of problems in systems and control, including stability analysis, stabilization, and safety-critical control designs. The second half of the thesis focuses on the specific problem of designing a point-to-point steering, which is often considered in many practical control …

Estimating And Detecting Slow-Wave Events In Eeg Signals, Zhenghao Xiong

McKelvey School of Engineering Graduate Student Theses & Dissertations

Slow wave activity (SWA) is an electroencephalogram (EEG) pattern commonly occurring during anesthesia and deep sleep, and is hence a candidate biomarker to quantify such states and understand their connection to various phenotypes. SWA consists of individual slow waves (ISW), high-amplitude deflections lasting for approximately 0.5 to 1 second, and occurring quasi-periodically. This latter fact poses a challenge for conventional power spectral density EEG analysis methods that perform best when there is persistency of oscillatory activity. In this work, we pursue a time-domain detection framework for identifying and quantifying ISWs as a metric for SWA. Our method works, in essence, …

Deep Learning Models To Predict Finishing Pig Weight Using Point Clouds, Shiva Paudel, Rafael Vieira De Sousa, Sudhendu Raj Sharma, Tami M. Brown-Bandl

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The selection of animals to be marketed is largely completed by their visual assessment, solely relying on the skill level of the animal caretaker. Real-time monitoring of the weight of farm animals would provide important information for not only marketing, but also for the assessment of health and well-being issues. The objective of this study was to develop and evaluate a method based on 3D Convolutional Neural Network to predict weight from point clouds. Intel Real Sense D435 stereo depth camera placed at 2.7 m height was used to capture the 3D videos of a single finishing pig freely walking …

Deep Learning Models To Predict Finishing Pig Weight Using Point Clouds, Shiva Paudel, Rafael Vieira De Sousa, Sudhendu Raj Sharma, Tami M. Brown-Bandl

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The selection of animals to be marketed is largely completed by their visual assessment, solely relying on the skill level of the animal caretaker. Real-time monitoring of the weight of farm animals would provide important information for not only marketing, but also for the assessment of health and well-being issues. The objective of this study was to develop and evaluate a method based on 3D Convolutional Neural Network to predict weight from point clouds. Intel Real Sense D435 stereo depth camera placed at 2.7 m height was used to capture the 3D videos of a single finishing pig freely walking …

Library Steam Kits: Developing Circulatable Curriculum For Community Steam Learning, Daphne Fauber, Ashley Fletcher

Purdue Journal of Service-Learning and International Engagement

Public libraries serve as repositories for a movement described as cultivation of the Library of Things. In the wake of COVID-19, the West Lafayette Public Library enhanced its existing Library of Things collection through the creation of science, technology, engineering, art, and mathematics (STEAM) kits. Since 2017, the West Lafayette Public Library has held regular free STEAM programs for the community; those programs were put on hold during the height of the COVID-19 pandemic, which concurred with a library renovation. These kits provide the community with the ability to learn STEAM concepts at home engaging, hands-on activities that may otherwise …

The Complexities Of Green Infrastructure, Troy Weber

Purdue Journal of Service-Learning and International Engagement

The Wabash River is the most extensive river system in Indiana. The river drains two-thirds of Indiana’s 92 counties, which can have issues associated with stormwater runoff (Weist, 1981). As precipitation runs off impervious surfaces, it can carry high concentrations of pollutants, such as excess nitrogen and phosphorus, pet waste, and automobile fuel. Prior to impervious runoff entering the river, preexisting contaminants include industrial waste (acid mine drainage and oil field brines), municipal waste, and sediment (Weist, 1981). Thus, stormwater runoff can negatively impact the Wabash River watershed. On top of this pollution, Lafayette and West Lafayette have combined sewer …

Service-Learning In Action: Lafayette, Indiana, Rain Garden Installation, Elizabeth Mccleery

Purdue Journal of Service-Learning and International Engagement

Indiana’s Wabash River is being polluted with contaminated water runoff from precipitation events. A lack of pervious land cover has led to an accumulation of fertilizer, sediment, and waste in the river. Green infrastructure, a stormwater management practice that mimics the natural ecosystem, is one of the most effective ways to prevent pollution from stormwater runoff and benefit the community. This project consisted of a rain garden installation at the Lafayette Fueling Station, a site where frequent water drainage and water runoff into the Wabash occurs. The rain garden will allow on-site water infiltration during rain events and promote natural …

Environmental Footmark And Its Effects On The Sustainability Of Towns, Ali Abdul Samea Hameed

Al-Esraa University College Journal for Engineering Sciences

The Ecological Footmark (EF) is one of the utmost recent and important criteria for assessing the capacity of the population to uphold a life sustainable way. It tests the extent which the indicators have an influence on the natural resources (NR) of the ecosystem such as forestry, water bodies, agricultural lands, pastures, CO2, and properties for construction purposes. This footmark was utilized to evaluate the use of NR to the capacity of the land for regeneration. This research paper discusses the theoretical conceptual component of the EF framework and plans regarding issues related to the environment. The environmental image (EI) …

A Computational Exploration: Docking Analysis Of Compounds From Foeniculum Vulgare As Potential Aromatase Inhibitors For Endometriosis Candidate Therapy, Dwi Anita Suryandari, Puji Sari, Hadi Sunaryo, Khaerunissa Anbar Istiadi

Indonesian Journal of Medical Chemistry and Bioinformatics

Aromatase inhibitors (AI) have controlling symptoms and size of endometriotic implants, making them a promising second-line therapy for endometriosis treatment.pretreatment with letrozole, an AI, combined with leuprolide acetate and resveratrol has been found to improve in vitro fertilization (IVF) outcomes in women mild endometriosis.in this study we screening and analysis of ten phenolic compounds from Foeniculum vulgare using molecular docking with Mcole server.from this results showed that three phenolic trans resveratrol (TR), caempherol coumaril (CC) have low gibbs energy compare with resveratrol (R). The binding modalities of compound TR and compound R were hydrogen-bonding between the hydroxyl and oxygen atom …

A Systems Approach To Process Design And Sustainability - Synergy Via Pollution Prevention, Control, And Source Reduction, Emmanuel Apau Aboagye

Theses and Dissertations

Historically, process design prioritized efficiency and profitability, often overlooking environmental and societal implications. However, given the global challenges like climate change and resource scarcity, there is a growing emphasis on embedding sustainability into process design. Adopting a systems-oriented approach provides a comprehensive view, spanning from raw material acquisition to end-of-life product management. Such an approach not only identifies potential sustainability challenges but ensures that solutions foster both environmental responsibility and economic viability. In this study, a comprehensive framework for designing industrial systems is introduced, aiming to encompass the entire lifecycle impacts of chemical processes. The research initially delves into two …

The Role Of Young Architects As Entrepreneurship Generational Units In Shaping The Future Of Architecture, Attaa H. Al Obaidi, Anwar. S. Al-Qaraghuli

Al-Esraa University College Journal for Engineering Sciences

Youth are the pillar of nations and the secret of their renaissance, thebuilders of their civilization and the line of defense, the main participants inbasic planning processes, and the agents of change to build a world that iscompatible with the aspirations of future generations. This applies to the field ofarchitecture in terms of the importance of young architects in shaping it underthe challenges it faces, which impose interaction in a manner commensuratewith the emerging requirements and needs. This research is based on theconsideration that young architects are an integrated phenomenon thatcontributes to shaping architectural production according to the data of …

Risk Detection Of Gestational Diabetes In Early Pregnancy Depend On Artificial Neural Network, Sanaa Hammad Dhahi

Al-Esraa University College Journal for Engineering Sciences

Early prediction of gestational diabetes mellitus (GDM) risk is particularly important because it may enable more effective interventions and reduce cumulative maternal and fetal injury. The aim of this study is to develop machine learning (ML) models for early prediction of GDM using widely available variables, facilitating early intervention, and enabling the application of prediction models in settings where more complex tests are not accessible. In this paper, an artificial neural network (ANN) was used to detect the risk of gestational diabetes. A global dataset was used to collect clinical and experimental data from pregnant women and people with diabetes …

Biodegradable Magnesium Alloys For Biomedical Implants: Properties, Challenges, And Surface Modifications With A Focus On Orthopedic Fixation Repair, Kevin Koshy Thomas, Mah Noor Zafar, William G. Pitt, Ghaleb A. Husseini

Faculty Publications

Biomedical devices made from high-modulus and hardness materials play a critical role in enhancing the quality of life for people with bone-related ailments. While these materials have been successfully used in orthopedic applications, concerns including stress-shielding have necessitated the exploration of alternative solutions. An ideal biomedical implant requires a delicate balance of mechanical performance, corrosion resistance, tissue biocompatibility, and other properties such as tribological performance and osseointegration. This review explores the suitability of biodegradable magnesium (Mg) alloys as a promising material for biomedical implants. It delves into the essential properties of biomedical implants, emphasizing the importance of matching mechanical characteristics …

Centering Equity In Stem Teaching: Stem Ideas That Change The World, Ileana Vasu

Feminist Pedagogy

No discussion on equity/inequity makes sense without bringing power into that discussion. As instructors we need to ask questions such as “who decides and controls what knowledge is”, “whose identities are empowered and whose are erased”, “who has access and opportunity and who doesn’t”. Traditional teaching in STEM, including mathematics, assumes knowledge is objective, transmittable, repeatable to everyone. When educators follow a traditional curriculum, just like their teachers before them, they do so thinking their methods ensure equality and objectivity. These practices not only deny the role that Western patriarchal cultures have played in creating these so-called equitable practices, but …

Feminist Pedagogy In Stem: The Intersection Of Stem Pedagogy And Feminist Theory, Lesley-Ann Giddings, Candice R. Price

Feminist Pedagogy

No abstract provided.

Machine Learning And Metabolic Model Guided Crispri Reveals A Central Role For Phosphoglycerate Mutase In Chlamydia Trachomatis Persistence, Niaz Bahar Chowdhury, Nick Pokorzynski, Elizabeth A. Rucks, Scot P. Ouellette, Rey A. Carabeo, Rajib Saha

Department of Chemical and Biomolecular Engineering: Faculty Publications

Upon nutrient starvation, Chlamydia trachomatis serovar L2 (CTL) shifts from its normal growth to a non-replicating form, termed persistence. It is unclear if persistence is an adaptive response or lack of it. To understand that transcriptomics data were collected for nutrientsufficient and nutrient-starved CTL. Applying machine learning approaches on transcriptomics data revealed a global transcriptomic rewiring of CTL under stress conditions without having any global stress regulator. This indicated that CTL’s stress response is due to lack of an adaptive response mechanism. To investigate the impact of this on CTL metabolism, we reconstructed a genome-scale metabolic model of CTL (iCTL278) …

Colloid Fabrication For Biomedical Engineering Applications Through Droplet Microfluidics, Lewis I. Larsen

Biomedical Engineering ETDs

The goal of this work was to leverage soft colloid fabrication through droplet microfluidics to improve the biomedical fields of radiotracer microspheres for selective internal radiation therapy (SIRT) and 3D hydrogel tissue constructs for cell culture with future potential as a platform to study liver diseases and drug response. The importance of positron emission tomography (PET) imaging microspheres infused with positron-emitting radioisotopes such as Ga-68, Cu-64, and F-18 is that they accurately map tumor-to-liver uptake (TLR) ratio and lung shunting factor of hepatocellular carcinoma. These pretreatment radiotracers model the intravascular accumulation behavior of radioactive therapeutic Y-90 SIRT microspheres. Qualifying patients, …

Volumetric Imaging Using The Pupil-Matched Remote Focusing Technique In Light-Sheet Microscopy, Sayed Hassan Dibaji Foroushani

Optical Science and Engineering ETDs

ABSTRACT

The dissertation explores innovative techniques in light sheet microscopy, a pivotal tool in biomedical imaging, to enhance its speed, resolution, and efficiency in capturing dynamic biological processes. Light sheet microscopy allows for quick 3D imaging of biological specimens ranging from cells to organs with high spatiotemporal resolution, large field-of-view, and minimal damage, making it vital for in vivo imaging.

The first project introduces a novel optical concept designed to optimize Axially Swept Light Sheet Microscopy (ASLM). This technique is crucial for imaging specimens ranging from live cells to chemically cleared organs due to its versatility across different immersion media. …

A Symbiotic Content Caching Approach In Next-Generation Information-Centric Networks Based On Game Theory, Aisha B Rahman

Electrical and Computer Engineering ETDs

The continuous growth of mobile data traffic with strict time requirements calls for the development of sustainable edge content caching solutions. This becomes more prominent in the setting of Information-Centric Networking (ICN) architectures, where different ICNs are leasing caching slices to the available content providers (CPs), who in turn offer their services to the users. In this thesis, we introduce a novel symbiotic content caching framework that provides the necessary economic benefits to the ICNs and the CPs to mutualistically collaborate among each other. The corresponding mutualistic interactions among the ICNs and CPs are studied under the prism of two …