Engineering Commons^™

Comparison Of Four In Vitro Test Methods To Assess Nucleus Pulposus Replacement Device Expulsion Risk, Tahmanna Rahman, Matthew J. Kibble, Gianluca Harbert, Nigel Smith, Erik Brewer, Thomas P. Schaer, Nicolas Newell

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

Background

Nucleus replacement devices (NRDs) are not routinely used in clinic, predominantly due to the risk of device expulsion. Rigorous in vitro testing may enable failure mechanisms to be identified prior to clinical trials; however, current testing standards do not specify a particular expulsion test. Multiple methods have therefore been developed, complicating comparisons between NRD designs. Thus, this study assessed the effectiveness of four previously reported expulsion testing protocols; hula-hoop (Protocol 1), adapted hula-hoop (Protocol 2), eccentric cycling (Protocol 3), and ramp to failure (Protocol 4), applied to two NRDs, one preformed and one in situ curing.

Methods

Nucleus material …

Engineering Transcriptional Regulation For Cell-Based Therapies., Matthias Recktenwald, Evan Hutt, Leah Davis, James Macaulay, Nichole M. Daringer, Peter Galie, Mary Staehle, Sebastian Vega

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

A major aim in the field of synthetic biology is developing tools capable of responding to user-defined inputs by activating therapeutically relevant cellular functions. Gene transcription and regulation in response to external stimuli are some of the most powerful and versatile of these cellular functions being explored. Motivated by the success of chimeric antigen receptor (CAR) T-cell therapies, transmembrane receptor-based platforms have been embraced for their ability to sense extracellular ligands and to subsequently activate intracellular signal transduction. The integration of transmembrane receptors with transcriptional activation platforms has not yet achieved its full potential. Transient expression of plasmid DNA is …

Underwater Double Vortex Generation Using 3d Printed Acoustic Lens And Field Multiplexing, Chadi Ellouzi, Ali Zabihi, Farhood Aghdasi, Aidan Kayes, Milton Rivera, Jiaxin Zhong, Amir Miri, Chen Shen

Henry M. Rowan College of Engineering Faculty Scholarship

The generation of acoustic vortex beams has attracted an increasing amount of research attention in recent years, offering a range of functions, including acoustic communication, particle manipulation, and biomedical ultrasound. However, incorporating more vortices and broadening the capacity of these beams and associated devices in three dimensions pose challenges. Traditional methods often necessitate complex transducer arrays and are constrained by conditions such as system complexity and the medium in which they operate. In this paper, a 3D printed acoustic lens capable of generating a double vortex pattern with an optional focusing profile in water was demonstrated. The performance of the …

Hybrid Deloading Control Strategy In Mmc-Based Wind Energy Conversion Systems For Enhanced Frequency Regulation, Jimiao Zhang, Jie Li

Henry M. Rowan College of Engineering Faculty Scholarship

The growing integration of renewable energy sources, especially offshore wind (OSW), is introducing frequency stability challenges to electric power grids. This paper presents a novel hybrid deloading control strategy that enables modular multilevel converter (MMC)-based wind energy conversion systems (WECSs) to actively contribute to grid frequency regulation. This research investigates a permanent-magnet synchronous generator (PMSG)-based direct-drive configuration, sourced from the International Energy Agency’s (IEA’s) 15 MW reference turbine model. Specifically, phase-locked loop (PLL)-free grid-forming (GFM) control is employed via the grid-side converter (GSC), and DC-link voltage control is realized through the machine-side converter (MSC), both of which boost the energy …

Brain-Inspired Continual Learning: Robust Feature Distillation And Re-Consolidation For Class Incremental Learning, Hikmat Khan, Nidhal Carla Bouaynaya, Ghulam Rasool

Henry M. Rowan College of Engineering Faculty Scholarship

Artificial intelligence and neuroscience have a long and intertwined history. Advancements in neuroscience research have significantly influenced the development of artificial intelligence systems that have the potential to retain knowledge akin to humans. Building upon foundational insights from neuroscience and existing research in adversarial and continual learning fields, we introduce a novel framework that comprises two key concepts: feature distillation and re-consolidation. The framework distills continual learning (CL) robust features and rehearses them while learning the next task, aiming to replicate the mammalian brain's process of consolidating memories through rehearsing the distilled version of the waking experiences. Furthermore, the proposed …

Synthesis And Photopatterning Of Synthetic Thiol-Norbornene Hydrogels, Umu S. Jalloh, Arielle Gsell, Kirstene Gultian, James Macaulay, Abigail Madden, Jillian Smith, Luke Siri, Sebastian Vega

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

Hydrogels are a class of soft biomaterials and the material of choice for a myriad of biomedical applications due to their biocompatibility and highly tunable mechanical and biochemical properties. Specifically, light-mediated thiol-norbornene click reactions between norbornene-modified macromers and di-thiolated crosslinkers can be used to form base hydrogels amenable to spatial biochemical modifications via subsequent light reactions between pendant norbornenes in the hydrogel network and thiolated peptides. Macromers derived from natural sources (e.g., hyaluronic acid, gelatin, alginate) can cause off-target cell signaling, and this has motivated the use of synthetic macromers such as poly(ethylene glycol) (PEG). In this study, commercially available …

Reliability-Based Analysis Of Horizontal Curve Design By Evaluating The Impact Of Vehicle Automation On Roadway Departure Crashes And Safety Performance, Omar Al-Sheikh, Seyed Hooman Ghasemi, Mohammad Jalayer

Henry M. Rowan College of Engineering Faculty Scholarship

Roadway departure (RwD) crashes are significant safety concerns, especially at horizontal curves. The design of these curves plays a crucial role in mitigating RwD crashes. Thus, a thorough understanding of the interaction between driver behavior, vehicle automation, and geometric design is vital. Substantive safety, which emphasizes the inherent safety in a road's design and function, serves as the foundation of our approach. Building on this, the study employs a safe system approach to investigate the performance of horizontal curves under both non-automated and partially automated conditions, using a reliability-based analysis focusing on Stopping Sight Distance as the primary driver demand. …

Adversarial Robustness With Partial Isometry, Loic Shi-Garrier, Nidhal Carla Bouaynaya, Daniel Delahaye

Henry M. Rowan College of Engineering Faculty Scholarship

Despite their remarkable performance, deep learning models still lack robustness guarantees, particularly in the presence of adversarial examples. This significant vulnerability raises concerns about their trustworthiness and hinders their deployment in critical domains that require certified levels of robustness. In this paper, we introduce an information geometric framework to establish precise robustness criteria for (Formula presented.) white-box attacks in a multi-class classification setting. We endow the output space with the Fisher information metric and derive criteria on the input–output Jacobian to ensure robustness. We show that model robustness can be achieved by constraining the model to be partially isometric around …

No Difference In Pullout Strength Between A Bio-Inductive Implant And A Semitendinosus Tendon Graft In A Biomechanical Study Of Medial Patellofemoral Ligament Repair Augmentation, Austin Wetzler, Sean Mcmillan, Erik Brewer, Aakash Patel, Samuel Handy, Merrick Wetzler

Faculty Scholarship for the Rowan-Virtua School of Translational Biomedical Engineering & Sciences

Purpose: To compare the pullout strength of a bio-inductive implant (BI) used to augment a medial patellofemoral ligament (MPFL) repair with the pullout strength of semitendinosus graft in a biomechanical cadaveric model. Methods: Six matched pairs of cadavers (12 knees) were used in the biomechanical testing comparing semitendinosus tendon (Semi-T) versus a BI. The Semi-T was harvested from 1 of the matched pairs. A standard double-bundle technique using 2 sockets in the upper two-thirds of the patella 15 mm apart was performed. After docking of the graft into the patella, the patella was dissected free of soft tissues and potted …

Fibrin Glue Acutely Blocks Distal Muscle Contraction After Confirmed Polyethylene Glycol Nerve Fusion: An Animal Study., Alec H Fisher, Parker H Johnsen, Andrew Simon, Cameron J Burns, Vineeth Romiyo, Elliot B Bodofsky, Sebastian Vega, David A Fuller

Cooper Medical School of Rowan University Faculty Scholarship

BACKGROUND: Polyethylene glycol (PEG) is a synthetic, biodegradable, and hyperosmotic material promising in the treatment of acute peripheral nerve injuries. Our team set out to investigate the impact of fibrin glue upon PEG fusion in a rat model.

METHODS: Eighteen rats underwent sciatic nerve transection and PEG fusion. Electrophysiologic testing was performed to measure nerve function and distal muscle twitch. Fibrin glue was applied and testing repeated. Due to preliminary findings, fibrin glue was applied to an uncut nerve in five rodents and testing was conducted before and after glue application. Mann-Whitney U tests were used to compare median values …

Electrochromic Polymers: From Electrodeposition To Hybrid Solid Devices, Haradou Sare, Dongmei Dong

Faculty Scholarship for the College of Science & Mathematics

This paper reports on the linear colorimetric and electrochromic (EC) characteristics of electrodeposited polyaniline (PANI) films. This paper also investigates the infrared EC properties of acid-doped PANI films. The electrochemical polymerization method was employed to create a porous and thin PANI film layer onto PET-ITO substrates. This layer was capped with WO3 film to create a gel electrolyte sandwich structure that demonstrates the compatibility of PANI films with cathodic WO3 films in full devices. The electrodeposition of the film was fabricated by applying different voltages and time, with the optimal film quality achieved with the 1.7 V voltage and a …

Systematic Development Of Ionizable Lipid Nanoparticles For Placental Mrna Delivery Using A Design Of Experiments Approach, Rachel E. Young, Katherine Nelson, Samuel I. Hofbauer, Tara Vijayakumar, Mohamad-Gabriel Alameh, Drew Weissman, Charalampos Papachristou, Jason P Gleghorn, Rachel S. Riley

Henry M. Rowan College of Engineering Faculty Scholarship

Ionizable lipid nanoparticles (LNPs) have gained attention as mRNA delivery platforms for vaccination against COVID-19 and for protein replacement therapies. LNPs enhance mRNA stability, circulation time, cellular uptake, and preferential delivery to specific tissues compared to mRNA with no carrier platform. However, LNPs are only in the beginning stages of development for safe and effective mRNA delivery to the placenta to treat placental dysfunction. Here, we develop LNPs that enable high levels of mRNA delivery to trophoblasts in vitro and to the placenta in vivo with no toxicity. We conducted a Design of Experiments to explore how LNP composition, including …

Improved Brain-Storm Optimizer For Disassembly Line Balancing Problems Considering Hazardous Components And Task Switching Time, Ziyan Zhao, Pengkai Xiao, Jiacun Wang, Shixin Liu, Xiwang Guo, Shujin Qin, Ying Tang

Henry M. Rowan College of Engineering Faculty Scholarship

Disassembling discarded electrical products plays a crucial role in product recycling, contributing to resource conservation and environmental protection. While disassembly lines are progressively transitioning to automation, manual or human–robot collaborative approaches still involve numerous workers dealing with hazardous disassembly tasks. In such scenarios, achieving a balance between low risk and high revenue becomes pivotal in decision making for disassembly line balancing, determining the optimal assignment of tasks to workstations. This paper tackles a new disassembly line balancing problem under the limitations of quantified penalties for hazardous component disassembly and the switching time between adjacent tasks. The objective function is to …

Understanding The State Agency Policies Toward Rap Usage In The United States: State Of Practice, Ayman Ali, Venkatsushanth Revelli

Henry M. Rowan College of Engineering Faculty Scholarship

The usage of Reclaimed Asphalt Pavement (RAP) material is a highly resource-conservative, economical, and sustainable practice in flexible pavement construction. However, its usage in hot mix asphalt (HMA) is capped at 25% by the majority of state transportation agencies due to its aging levels, stiffness characteristics, and handling capabilities, which may result in early-age pavement distress. Though researchers suggest methodologies to increase RAP usage, higher RAP percentages in asphalt pavements require the support of state authorities. The main objective of this paper is to provide information on how different states design their mixtures with high RAP percentages. This study reviewed …

Bridge Deck Surface Damage Assessment Using Point Cloud Data, Issa Al Shaini, Adriana Trias Blanco

Henry M. Rowan College of Engineering Faculty Scholarship

Bridge deck condition assessments are typically conducted through visual inspections and by incorporating traditional contact sensors for Non-Destructive Evaluation techniques such as hammer sounding and chain dragging, which require the keen expertise of trained inspectors. The accuracy of these inspections is proportional to the level of deterioration of the bridge deck, as the ability of the inspectors is correlated to the apparent level of damage. This study aims to improve the accuracy of bridge deck inspection processes by utilizing non-destructive evaluation techniques, including analyzing point cloud data gathered via Light Detection and Ranging (LiDAR) as a geometry-capturing tool for identifying …

Molecular Separation By Using Active And Passive Microfluidic Chip Designs: A Comprehensive Review, A. Ebrahimi, K. Icoz, R. Didarian, C.-H. Shih, A. Akpek, Berivan Cecen, Sabanci A. Bal-Ozturk, K. Güleç, Y.-C.E Li, S. Shih, B. Sirma Tarim, H.C. Tekin, E. Alarçin, H. Ghorbanpoor, C. Özel, A. Eker Sarıboyacı, Guzel F. Dogan, N. Bassous, S.R. Shin, H. Avci

Henry M. Rowan College of Engineering Faculty Scholarship

Separation and identification of molecules and biomolecules such as nucleic acids, proteins, and polysaccharides from complex fluids are known to be important due to unmet needs in various applications. Generally, many different separation techniques, including chromatography, electrophoresis, and magnetophoresis, have been developed to identify the target molecules precisely. However, these techniques are expensive and time consuming. “Lab-on-a-chip” systems with low cost per device, quick analysis capabilities, and minimal sample consumption seem to be ideal candidates for separating particles, cells, blood samples, and molecules. From this perspective, different microfluidic-based techniques have been extensively developed in the past two decades to separate …

Combining Adhesive And Nonadhesive Injectable Hydrogels For Intervertebral Disc Repair In An Ovine Discectomy Model., Christopher J Panebianco, Caroline Constant, Andrea J. Vernengo, Dirk Nehrbass, Dominic Gehweiler, Tyler J Distefano, Jesse Martin, David J Alpert, Saad B Chaudhary, Andrew C Hecht, Alan C Seifert, Steven B Nicoll, Sibylle Grad, Stephan Zeiter, James C Iatridis

Henry M. Rowan College of Engineering Faculty Scholarship

BACKGROUND: Intervertebral disc (IVD) disorders (e.g., herniation) directly contribute to back pain, which is a leading cause of global disability. Next-generation treatments for IVD herniation need advanced preclinical testing to evaluate their ability to repair large defects, prevent reherniation, and limit progressive degeneration. This study tested whether experimental, injectable, and nonbioactive biomaterials could slow IVD degeneration in an ovine discectomy model.

METHODS: Ten skeletally mature sheep (4-5.5 years) experienced partial discectomy injury with cruciate-style annulus fibrosus (AF) defects and 0.1 g nucleus pulposus (NP) removal in the L1-L2, L2-L3, and L3-L4 lumbar IVDs. L4-L5 IVDs were Intact controls. IVD injury …

Occlusive Membranes For Guided Regeneration Of Inflamed Tissue Defects., Woojin Choi, Utkarsh Mangal, Jin-Young Park, Ji-Yeong Kim, Taesuk Jun, Ju Won Jung, Moonhyun Choi, Sungwon Jung, Milae Lee, Ji-Yeong Na, Du Yeol Ryu, Jin Man Kim, Jae-Sung Kwon, Won-Gun Koh, Sangmin Lee, Patrick T J Hwang, Kee-Joon Lee, Ui-Won Jung, Jae-Kook Cha, Sung-Hwan Choi, Jinkee Hong

Henry M. Rowan College of Engineering Faculty Scholarship

Guided bone regeneration aided by the application of occlusive membranes is a promising therapy for diverse inflammatory periodontal diseases. Symbiosis, homeostasis between the host microbiome and cells, occurs in the oral environment under normal, but not pathologic, conditions. Here, we develop a symbiotically integrating occlusive membrane by mimicking the tooth enamel growth or multiple nucleation biomineralization processes. We perform human saliva and in vivo canine experiments to confirm that the symbiotically integrating occlusive membrane induces a symbiotic healing environment. Moreover, we show that the membrane exhibits tractability and enzymatic stability, maintaining the healing space during the entire guided bone regeneration …

Real-Time Arrhythmia Detection Using Convolutional Neural Networks, Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao

Henry M. Rowan College of Engineering Faculty Scholarship

Cardiovascular diseases, such as heart attack and congestive heart failure, are the leading cause of death both in the United States and worldwide. The current medical practice for diagnosing cardiovascular diseases is not suitable for long-term, out-of-hospital use. A key to long-term monitoring is the ability to detect abnormal cardiac rhythms, i.e., arrhythmia, in real-time. Most existing studies only focus on the accuracy of arrhythmia classification, instead of runtime performance of the workflow. In this paper, we present our work on supporting real-time arrhythmic detection using convolutional neural networks, which take images of electrocardiogram (ECG) segments as input, and classify …

Machine Learning Enabled Cluster Grouping Of Varistors In Parallel-Structured Dc Circuit Breakers, Shuyan Zhao, Yao Wang, Reza Kheirollahi, Zilon Zheng, Fei Lu, Hua Zhang

Henry M. Rowan College of Engineering Faculty Scholarship

This letter presents the first ever trial of machine learning enabled cluster grouping of varistors for DC circuit breakers (DCCBs). It reveals that the manufacturing discrepancy of varistors is a main challenge in their parallel connection. The proposed cluster grouping concept is introduced to classify varistors according to the interruption characteristic, in which the K-means algorithm is adopted to learn the clamping voltage curves. 70 420 V/50 A V420LA20 varistors are measured in a 120 A transient current interruption platform individually to acquire 70 sets of testing data to train the machine learning engine. Then, 28 new varistors are further …

Application Of Text Mining Techniques To Identify Actual Wrong-Way Driving (Wwd) Crashes In Police Reports, Parisa Hosseini, Seyedalireza Khoshsirat, Mohammad Jalayer, Subasish Das

Henry M. Rowan College of Engineering Faculty Scholarship

Wrong-way driving (WWD) has been a long-lasting issue for transportation agencies and law enforcement, since it causes pivotal threats to road users. Notwithstanding being rare, crashes occurring due to WWD are more severe than other types of crashes. In order to analyze WWD crashes, there is a need to obtain WWD incidents or crash data. However, it is time-consuming to identify actual WWD crashes from potential WWD crashes in large crash databases. It often involves large man-hours to review hardcopy of crash narratives in the police reports. Otherwise, it may cause an overestimation or underestimation of WWD crash frequencies. To …

Effect Of Hf Alloying On Magnetic, Structural, And Magnetostrictive Properties In Feco Films For Magnetoelectric Heterostructure Devices, Thomas Mion, Margo Staruch, Konrad Bussmann, Goran Karapetrov, Olaf Van 'T Erve, Sara Mills, Heonjune Ryou, Ramasis Goswami, Patrick G. Callahan, David J. Rowenhorst, Syed B. Qadri, Samuel Lofland, Peter Finkel

Faculty Scholarship for the College of Science & Mathematics

Materials with high magnetoelectric coupling are attractive for use in engineered multiferroic heterostructures with applications such as ultra-low power magnetic sensors, parametric inductors, and non-volatile random-access memory devices. Iron-cobalt alloys exhibit both high magnetostriction and high saturation magnetization that are required for achieving significantly higher magnetoelectric coupling. We report on sputter-deposited (Fe0.5Co0.5)1-xHfx (x = 0 - 0.14) alloy thin films and the beneficial influence of Hafnium alloying on the magnetic and magnetostrictive properties. We found that co-sputtering Hf results in the realization of the peening mechanism that drives film stress from highly tensile to slightly compressive. Scanning electron microscopy and …

Kinetic Optimization Of The Batch Crystallization Of An Active Pharmaceutical Ingredient In The Presence Of A Low-Solubility, Precipitating Impurity, Mitchell Paolello, Ilyes Bichari, Davinia Brouckaert, Mirvatte Francis, Dawn Yang, Gerard Capellades

Henry M. Rowan College of Engineering Faculty Scholarship

The presence of impurities above regulatory thresholds has been responsible for recent recalls of pharmaceutical drugs. Crystallization is one of the most used separation processes to control impurities in the final drug. A particular issue emerges when impurities are poorly soluble in the crystallization solvent and simultaneously precipitate with the product. This publication reports the development of a population balance model to investigate if the impurity crystallization kinetics can be selectively inhibited in a seeded batch crystallization system containing acetaminophen (ACM), a commonly used small-molecule active pharmaceutical ingredient (API), and curcumin (CUR), a simulated low-solubility/co-precipitating impurity. Raman spectroscopy was used …

Adoption Of Pedagogical Innovations: Social Networks Of Engineering Education Guilds, Darby Riley, Kaitlin Mallouk, Courtney Faber, Alexandra Coso Strong

Henry M. Rowan College of Engineering Faculty Scholarship

This work investigates how innovations propagate through two professional networks (guilds): the Kern Entrepreneurial Engineering Network (KEEN) and the Consortium to Promote Reflection in Engineering Education (CPREE). Previous research has demonstrated that the adoption of pedagogical innovations is supported by the socialization of the innovation among potential adopters. In this work, we use social network analysis to explore the impact of professional connections on innovation adoption. Our research questions are: (1) How does overall social structure differ between guilds? (2) How do measures of social network structures relate to innovation adoption? A survey was distributed to members of KEEN and …

Biomimetic Nacre-Like Aramid Nanofiber-Holey Mxene Composites For Lithium-Sulfur Batteries, Yuying Wang, Volkan Cecen, Shoupeng Wang, Lei Zhao, Li Liu, Xiaonan Zhu, Yudodng Hwang, Mingqiang Wang

Henry M. Rowan College of Engineering Faculty Scholarship

Polysulfide shuttle and lithium dendrite formation limit practical applications of lithium-sulfur (Li-S) batteries. To address these issues, we propose a nacre-inspired design of MXene/aramid nanofiber (ANF) separator with “brick-and-mortar” microstructure. The combination of shortened ion transfer distance generated by holes on MXene and enlarged interlayer spacing provided by ANFs creates a hierarchical ion path “highway” that modulates the efficiency of ion transportation while synergistically suppressing the polysulfide shuttles. Furthermore, benefitting from the introduction of ANF, the composite membrane has good mechanical properties and impact tolerance. With simultaneous mitigation of dendrite growth and polysulfide poisoning of anodes, the cells with nacre-inspired …

The Role Of Xanthan Gum In Predicting Durability Properties Of Self-Compacting Concrete (Scc) In Mix Designs, Alireza Masoumi, Reza Farokhzad, Seyed Hooman Ghasemi

Henry M. Rowan College of Engineering Faculty Scholarship

This study comprehensively investigates the rheological properties of self-compacting concrete (SCC) and their impact on critical parameters, including the migration coefficient, penetration depth of chlorine ions, specific electrical resistance, and compressive strength. A total of 43 mix designs were meticulously examined to explore the relationships between these properties. Quantitative analysis employed a backpropagation neural network model with a single hidden layer to accurately predict the resistant and durable characteristics of self-compacting concrete. The optimal number of neurons in the hidden layer was determined using a fitting component selection method, implemented in MATLAB software(2021b). Additionally, qualitative analysis was conducted using sensitivity …

Strategic Optimization Of The Flushing Operations In Lubricant Manufacturing And Packaging Facilities, Swapana Jerpoth, Robert Hesketh, C. Stewart Slater, Mariano Savelski, Kirti Maheshkumar Yenkie

Henry M. Rowan College of Engineering Faculty Scholarship

Commercial lubricant industries use a complex pipeline network for the sequential processing of thousands of unique products annually. Flushing is conducted between changeovers to ensure the integrity of each production batch. An upcoming product is used for cleaning the residues of the previous batch, resulting in the formation of a commingled/mixed oil that does not match the specifications of either of the two batches. The existing operations are based on the operator’s experience and trial and error. After a selected flush time, the samples are tested for their viscosity to determine the success of a flush. The approach results in …

Precision Spraying Using Variable Time Delays And Vision-Based Velocity Estimation, Paolo Rommel Sanchez, Hong Zhang

Henry M. Rowan College of Engineering Faculty Scholarship

Traditionally, precision farm equipment often relies on real-time kinematics and global positioning systems (RTK-GPS) for accurate position and velocity estimates. This approach proved effective and widely adopted in developed regions where RTK-GPS satellite and base station availability and visibility are not limited. However, RTK-GPS signal can be limited in farm areas due to topographic and economic constraints. Thus, this study developed a precision sprayer that estimated the travel velocity locally by tracking the relative motion of plants using a deep-learning-based machine vision system. Sprayer valves were then controlled by variable time delay (VTD) queuing and dynamic filtering. The proposed velocity …

Enhanced Cell Viability And Migration Of Primary Bovine Annular Fibrosus Fibroblast-Like Cells Induced By Microsecond Pulsed Electric Field Exposure, Prince M. Atsu, Connor Mowen, Gary L. Thompson Iii

Henry M. Rowan College of Engineering Faculty Scholarship

This study is the first to report the enhancement of cell migration and proliferation induced by in vitro microsecond pulsed electric field (μsPEF) exposure of primary bovine annulus fibrosus (AF) fibroblast-like cells. AF primary cells isolated from fresh bovine intervertebral disks (IVDs) are exposed to 10 and 100 μsPEFs with different numbers of pulses and applied electric field strengths. The results indicate that 10 μs-duration pulses induce reversible electroporation, while 100 μs pulses induce irreversible electroporation of the cells. Additionally, μsPEF exposure increased AF cell proliferation up to 150% while increasing the average migration speed by 0.08 μm/min over 24 …

Evaluating Effect Of Operating Speed On Crashes Of Rural Two-Lane Highways, Fahida Rahman, Xu Zhang, Mei Chen

Henry M. Rowan College of Engineering Faculty Scholarship

Crashes on a roadway are influenced by various factors, including but not limited to road geometries, traffic volume, and environmental conditions. Among these factors, traffic volume and segment length are commonly used to predict crashes. Recently, the role of speed in crashes has been recognized as a significant factor, prompting its incorporation as a variable in crash modeling. Nevertheless, previous research studies that examined speed-related factors are mostly concentrated on higher functional class roads where speed data are abundant. Lack of actual speed data has limited the scope of such a study on rural two-lane highways. Due to recent advancements …