Digital Commons Network^™

Impact Of Pre-Harvest Fungicide Application On The Storage Performance Of Tomato Fruits, Zhifu Lan, Jing Huang, Komivi S. Akutse, Yongwen Lin

All Peer-Reviewed Publications

To examine the impact of pre-harvest fungicide applications on the postharvest storage performance of tomato fruits, we measured the lycopene content, hardness, soluble solids content, rotting rate, and weight loss rate of the fruits, as well as conducted a sensory assessment. Protective and systematic fungicides were sprayed on tomatoes 20 days before harvest in order to prevent rotting and weight loss during storage. Our findings showed that, the fungicide-treated tomatoes had a significantly lower rotting rate of 16.00% and a weight loss rate of 3.96%. However the control group experienced 65.33% rotting rate and 6.90% weight loss rate on 12th …

Novel Emergent Phases In A Two-Dimensional Superconductor, Simrandeep Kaur, Hemanta Kumar Kundu, Sumit Kumar, Anjana Dogra, Rajesh Narayanan, Thomas Vojta, Aveek Bid

Physics Faculty Research & Creative Works

In this letter, we report our observation of an extraordinarily rich phase diagram of a LaScO₃/SrTiO₃ heterostructure. Close to the superconducting transition temperature, the system hosts a superconducting critical point of the Infinite-randomness type characterized by an effective dynamical exponent ν z that diverges logarithmically. At lower temperatures, we find the emergence of a magnetic field-tuned metallic phase that co-exists with a quantum Griffiths phase (QGP). Our study reveals a previously unobserved phenomenon in 2D superconductors—an unanticipated suppression of the QGP below a crossover temperature in this system. This concealment is accompanied by the destruction of the …

Implementation And Optimization Of A Secure, Scalable, And Robust Long-Range Low-Power Mesh Network For Enhanced Geo-Location Accuracy And Efficient Data Aggregation, Sheikh Tareq Ahmed

All Dissertations

The burgeoning realm of the Internet of Things (IoT) calls for advanced communication networks that can support an ever-increasing number of connected devices. Among these, Low Power Wide Area Networks (LPWANs), specifically LoRaWAN technology, have emerged as frontrunners due to their long-range, low-power capabilities, ideally suiting IoT's expansive nature. This dissertation presents a comprehensive study on enhancing LoRaWAN technology to overcome the existing limitations in geolocation accuracy and data aggregation efficiency. The work is set against the backdrop of the technology's vulnerability to signal attenuation in obstacle-rich environments and its challenges in scaling to accommodate dense networks without performance degradation. …

The Impact Of District Policy On The Efficacious Implementation Of Texas House Bill 5, Marlene Studivant- Moore

All Dissertations

Preparing students to contribute to society is essential for every high school in the nation. Texas House Bill 5 (House Bill 5, 2013) sought to create a framework for achieving college and career readiness for Texas public schools. Counselors were the frontline mentors who had essential roles in implementing House Bill 5. However, the performance of graduation and curricular changes mandated by House Bill 5 increased the responsibilities of counselors and challenged how the policy implementation affected students' college and career readiness. Numerous challenges and issues emerged within the school districts executing House Bill 5.

The success of House Bill …

Geographic Links And Predictable Returns, Zuben Jin, Frank Weikai Li

Research Collection Lee Kong Chian School Of Business

Using establishment-level data of U.S. public firms, we construct a novel measure of geographic linkage between firms. We show that the returns of geography-linked firms have strong predictive power for focal firm returns and fundamentals. This effect is distinct from other cross-firm return predictability and is not easily attributable to risk-based explanations. It is more pronounced for focal firms that receive lower investor attention, are more costly to arbitrage, and during high sentiment periods. The cross-firm information spillovers and return predictability are also stronger for geographic peers with economic linkages and with positive information. Our results are broadly consistent with …

Integrating Building Information Modelling And Extended Reality In The Transportation Infrastructure Industry, Yosra El Maghraby, Shady Salem, Ahmed Alhady, Yasser Khodeir

Civil Engineering

No abstract provided.

Towards Load-Bearing Biomedical Titanium-Based Alloys: From Essential Requirements To Future Developments, Yu-Wei Cui, Liqiang Wang, Lai-Chang Zhang

Research outputs 2022 to 2026

The use of biomedical metallic materials in research and clinical applications has been an important focus and a significant area of interest, primarily owing to their role in enhancing human health and extending human lifespan. This article, particularly on titanium-based alloys, explores exceptional properties that can address bone health issues amid the growing challenges posed by an aging population. Although stainless steel, magnesium-based alloys, cobalt-based alloys, and other metallic materials are commonly employed in medical applications, limitations such as toxic elements, high elastic modulus, and rapid degradation rates limit their widespread biomedical applications. Therefore, titanium-based alloys have emerged as top-performing …

Primary School Students' Perceptions And Developed Artefacts And Language From Learning Coding And Computational Thinking Using The 3c Model, David A. Martin, Peter Curtis, Petrea Redmond

Research outputs 2022 to 2026

Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and an instructional sequencing model for primary school teachers to effectively present coding and computational thinking concepts and skills to students in alignment with their developmental stage. Objective: This study aims to address both obstacles by introducing the 3C Model, a newly developed instructional sequence grounded in established pedagogies and designed to …

Explainable Ai For Cybersecurity Automation, Intelligence And Trustworthiness In Digital Twin: Methods, Taxonomy, Challenges And Prospects, Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin, Asif Gill, Leandros Maglaras

Research outputs 2022 to 2026

Digital twins (DTs) are an emerging digitalization technology with a huge impact on today's innovations in both industry and research. DTs can significantly enhance our society and quality of life through the virtualization of a real-world physical system, providing greater insights about their operations and assets, as well as enhancing their resilience through real-time monitoring and proactive maintenance. DTs also pose significant security risks, as intellectual property is encoded and more accessible, as well as their continued synchronization to their physical counterparts. The rapid proliferation and dynamism of cyber threats in today's digital environments motivate the development of automated and …

Justice Theater In The Criminal Law Curriculum, Gregory Brazeal

Cardozo Law Review

For the last half-century, law students have been required to take a criminal law course that ostensibly trains them to think critically about the justifications for criminal punishment. The same students have then gone on to serve as central actors in a system of mass incarceration that millions of Americans today view as profoundly unjust.

How did this happen?

A number of legal scholars, notably including Alice Ristroph in her 2020 Article “The Curriculum of the Carceral State,” have argued that the traditional criminal law curriculum has played a role in creating and reproducing the practices of mass incarceration. This …

Overview On The Most Common Microbial Causative Agents Of Diarrhea, Wafaa Ayad Al-Nuaimy, Dhay A. Azeez

Muthanna Medical Journal

In all parts of the world and among all age groups, diarrhea is a significant cause of morbidity and mortality. However, compared to high-income countries, low-income countries have fewer resources and a less resilient infrastructure, which makes them more susceptible to an unfair share of diarrheal morbidity and mortality. The word "diarrhea" originates from the Greek word "dia rEo," referring to "flow through." When the volume of colonic fluid crosses this segment's absorptive capacity due to decreased absorption and/or increased secretion, diarrhea achievements. In infectious diarrheas, the abnormal function is brought about by microorganisms that colonize the intestinal mucosa and …

Association Between Oxygen Saturation Level During And Post Bronchoscopy, A Cross- Section Study In Baghdad Teaching Hospital, Saja Maher Kamil, Abdulrasool Noori Nassr Almoosawi

Muthanna Medical Journal

Flexible bronchoscopy (FB) diagnoses and treats airway issues by directly visualizing them. The aim of this study is to investigate whether the percutaneous oxygen saturation (Spo2) level during bronchoscopy is associated with the development of hypoxia. We conducted a cross-sectional research of 40 Baghdad Teaching Hospital/Medical City complex patients from October 1, 2023, to March 10, 2024. The University of Baghdad College of Medicine Department of Medicine approved the study protocol. Patients aged > 18 years who underwent FB with continuous percutaneous oxygen saturation monitoring were screened. Our sample has 40 patients with a mean age of 57.97 years and BMI …

“Academic Publishing Is A Business Interest”: Reconciling Faculty Serials Needs And Economic Realities At A Carnegie R2 University, Rachel E. Scott, Anne Shelley, Chad E. Buckley, Cassie Thayer-Styes, Julie A. Murphy

Faculty and Staff Publications – Milner Library

Introduction: This article explores faculty conceptions of academic publishers, their willingness to circumvent paywalls and share content, and their understanding of who holds the responsibility to pay for this body of scholarly work to which they all contribute.

Methods: The authors conducted semi-structured interviews with 25 faculty at their Carnegie R2 university to explore scholars’ perspectives with respect to the costs of serials and the responsibilities of the University and library in support of scholarly publishing.

Results: Participants reported a broad spectrum of perspectives with respect to circumventing publisher paywalls and offered nuanced practices for interacting with paywalled content. They …

Delineating Ground Subsidence And Flood Risk In Southeast Texas (Setx) Using Ps-Insar And Deep Learning, Arip Syaripudin Nur, Jinwoo An, Yong Je Kim

Civil Engineering Faculty Publications

This study investigates ground subsidence and its impact on flood risk in Southeast Texas (SETX), a region particularly susceptible to inundation due to rising sea levels and subsidence. Understanding subsidence patterns is crucial for geotechnical risk management and ground-use planning. Employing Persistent Scatterer Interferometry (PS-InSAR) with Sentinel-1 SAR data (2020-2023), the study delineates the spatiotemporal distribution of subsidence and its influence on flooding. PS-InSAR, wellsuited for urban areas, captures stable scatterers detected by SAR satellites, enabling detailed subsidence analysis. Time series analysis reveals subsidence evolution and its implications for flood risk management. Validation utilizes strategically placed GPS station data. Furthermore, …

Inhaled Mucolytics As Preventative Therapy, Children's Mercy Kansas City

Clinical Critically Appraised Topics

No abstract provided.

A Hierarchical Framework For Interpretable, Safe, And Specialised Deep Reinforcement Learning, Ammar Abbas

Doctoral

Safety-critical systems, which are crucial for human safety and the environment, are difficult to control and operate. Traditional controllers need precise models of these complex systems, which is hard to develop. \acrfull{drl} offers a potential solution by learning from interactions rather than detailed models, but it faces limitations such as non-transparent decision-making and an expensive, unsafe learning process. Additionally, a key challenge in DRL is ensuring effective decision-making in rare situations.

This thesis proposes a novel approach called the \acrfull{prop_frame} that enables safe and reliable control of critical systems. SRLA combines probabilistic modelling with reinforcement learning to create an interpretable …

Design And Development Of Uio-67-Coated Pim-1-Based Composites And Demonstration Of Their Detoxification Performance, Sukanta K. Mondal, Peter O. Aina, Ali A. Rownaghi, Fateme Rezaei

Chemical and Biochemical Engineering Faculty Research & Creative Works

Polymer-supported MOF composites have emerged as versatile candidates for various separation and catalytic applications. In this study, we demonstrate design and development of UiO-67-coated Ce(OH)₄@PIM-1 composites via dip-coating, drop-casting, solid-phase coating, and supramolecular assembly, and assess their preparation-structure-performance relations. The catalytic performance of the composites was investigated through hydrolysis of dimethyl 4-nitrophenyl phosphate (DMNP), as a nerve agent simulant. The findings revealed that while dip-coating method was unable to achieve a thick and uniform coverage of the MOF layer on the Ce(OH)₄@PIM-1, the supramolecular assembly gave rise to 16 wt.% MOF loading and the composite prepared …

An Efficient Neutrosophic Approach For Evaluating Possible Industry 5.0 Enablers In Consumer Electronics: A Case Study, Mai Mohamed, Asmaa Elsayed, Bilal Arain, Jun Ye

Neutrosophic Systems with Applications

With the use of cutting-edge technologies like artificial intelligence (AI), robotics, and the Internet of Things (IoT), Industry 5.0 represents a breakthrough move towards a sustainable and human-centered industrial future. Industry 5.0 endeavors to transform industries such as consumer electronics by emphasizing sustainability and collaboration, in contrast to its predecessors, who only concentrated on automation and efficiency. Along with improved manufacturing efficiency and product innovation, this change in the consumer electronics sector also redefines the human-machine interaction. This paper proposes a novel hybrid integrating model that combines the Entropy Weight Method (EWM), Best-Worst Method (BWM), and an acronym in Portuguese …

Piecewise Fractional Derivatives And Wavelets In Epidemic Modeling, Mutaz Mohammad, Mohyeedden Sweidan, Alexander Trounev

All Works

In this paper, we propose a novel methodology for studying the dynamics of epidemic spread, focusing on the utilization of fundamental mathematical concepts related to piecewise differential and integral operators. These mathematical tools play a crucial role in the process of modeling epidemic phenomena, enabling us to investigate the behavior of infectious diseases within defined time intervals. Our primary objective is to enhance our understanding of epidemic dynamics and the underlying influencing factors. We introduce the Susceptible–Infectious–Recovered (SIR) model as the foundational framework, which is formulated as a system of differential equations. Our approach involves discretizing time and employing interpolation …

Tool-Sensed Object Information Effectively Supports Vision For Multisensory Grasping, Ivan Camponogara, Alessandro Farnè, Robert Volcic

All Works

Tools enable humans to extend their sensing abilities beyond the natural limits of their hands, allowing them to sense objects as if they were using their hands directly. The similarities between direct hand interactions with objects (hand-based sensing) and the ability to extend sensory information processing beyond the hand (tool-mediated sensing) entail the existence of comparable processes for integrating tool- and hand-sensed information with vision, raising the question of whether tools support vision in bimanual object manipulations. Here, we investigated participants' performance while grasping objects either held with a tool or with their hand and compared these conditions with visually …

Response Surface Methodology-Based Optimization Of The Chitinolytic Activity Of Burkholderia Contaminans Strain 614 Exerting Biological Control Against Phytopathogenic Fungi, Imen Ben Slimene Debez, Hayet Houmani, Henda Mahmoudi, Khaoula Mkadmini, Pedro Garcia-Caparros, Ahmed Debez, Olfa Tabbene, Naceur Djébali, Maria Camino Urdaci

All Works

As part of the development of alternative and environmentally friendly control against phytopathogenic fungi, Burkholderia cepacia could be a useful species notably via the generation of hydrolytic enzymes like chitinases, which can act as a biological control agent. Here, a Burkholderia contaminans S614 strain exhibiting chitinase activity was isolated from a soil in southern Tunisia. Then, response surface methodology (RSM) with a central composite design (CCD) was used to assess the impact of five factors (colloidal chitin, magnesium sulfate, dipotassium phosphate, yeast extract, and ammonium sulfate) on chitinase activity. B. contaminans strain 614 growing in the optimized medium showed up …

New Electrochemical Platforms For The Detection Of Neurodegenerative Disease Biomarkers, Omair Adil

Dissertations

Neurodegenerative disease (ND) is a collection of progressive disorders which is marked by gradual degeneration of the central nervous system (CNS). The damage of brain and nervous system causes diminishing of brain and nerve cell which lead to body dysfunction, organ failure, paralysis and ultimately death of a patient. Neurodegenerative diseases affect millions of people worldwide. United States of America is among highest ND prevailing disease countries. Yet the number of cases is underreported because of the complexity of disease diagnosis. With the increase in aging population the rate of ND cases is also increasing. Another important concern is that …

Republican Klansmen: The Ku Klux Klan And The Grand Old Party In Prohibition Era Indiana, Andrew Scott Barbero

Dissertations

Since the proliferation of Trumpism in American politics there has been newfound interest in Ku Klux Klan related studies. Scholars have turned to the rise of the “Invisible Empire” in the 1920s, and the massive political influence it yielded nationwide, to better understand and contextualize the MAGA Movement of Republicans currently dominating their own party, and American politics more broadly. This dissertation focuses on the rise of the Ku Klux Klan as a dominant force in Indiana politics throughout the 1920s. Indiana boasted one of the largest Klan groups at the time, and it was seen in popular culture as …

'Crowned With The Wreath Of Immortality': Martyrdom, Death, And The Afterlife In North African Religious Discourse, Matthew William Egbert

Dissertations

This dissertation explores North Africa’s role in the development of its own religious discourse, specifically with regard to martyrdom, death, the afterlife, and other eschatological themes. Historians of early Christianity and Islam often depict the region as peripheral, but it was actually a crossroads where pre-existing traditions met new ideas to develop unique, localized versions of these religions. More often than not, these emphasized a pursuit of martyrdom and veneration of saints. This longue-durée study covers a vast timeline, spanning the pre-Christian period to the late Fatimid Caliphate. Its central focus, however, is the Donatist schism that divided North Africa …

Essays On Aging, Health, And Labor Market, Lanjie Wang

Dissertations and Theses Collection (Open Access)

This dissertation consists of four chapters on aging, health, and labor economics.

In the first chapter, we investigate the short-term impacts of unemployment on older workers in Singapore, a setting without public unemployment insurance. Using monthly panel data, we analyze dynamic impacts on income, spending, health, and subjective well-being over two years post-unemployment. We find substantial initial earnings losses with incomplete recovery, with income remaining 46.5% below pre-unemployment levels after 24 months. Despite this persistent income gap, consumption responses are modest and comparable to countries with strong social safety nets, suggesting robust self-insurance mechanisms. We observe increased retirement among married …

Dispersive Shock Waves In A One-Dimensional Droplet-Bearing Environment, Sathyanarayanan Chandramouli, S. I. Mistakidis, G. C. Katsimiga, P. G. Kevrekidis

Physics Faculty Research & Creative Works

We demonstrate the controllable generation of distinct types of dispersive shock waves emerging in a quantum droplet bearing environment with the aid of steplike initial conditions. Dispersive regularization of the ensuing hydrodynamic singularities occurs due to the competition between mean-field repulsion and attractive quantum fluctuations. This interplay delineates the dominance of defocusing (hyperbolic) and focusing (elliptic) hydrodynamic phenomena being designated by the real and the imaginary speed of sound, respectively. Specifically, the symmetries of the extended Gross-Pitaevskii model led to a three-parameter family, encompassing two densities and a relative velocity of the underlying Riemann problem utilized herein. Surprisingly, dispersive shock …

Particle-Imbalanced Weakly Interacting Quantum Droplets In One Dimension, I. A. Englezos, P. Schmelcher, S. I. Mistakidis

Physics Faculty Research & Creative Works

We explore the formation of one-dimensional two-component quantum droplets with intercomponent particle imbalance using an ab initio many-body method. It is shown that for moderate particle imbalance each component maintains its droplet flat-top or Gaussian-type character depending on the intercomponent attraction. Importantly, large particle imbalance leads to a flat-top shape of the majority component with the minority exhibiting spatially localized configurations. The latter imprint modulations on the majority component which become more pronounced for increasing interspecies attraction. The same holds for larger mass or increasing repulsion of the minority species. Such structural transitions are also evident in the underlying two-body …

Dispersive Shock Waves In A One-Dimensional Droplet-Bearing Environment, Sathyanarayanan Chandramouli, S. I. Mistakidis, G. C. Katsimiga, P. G. Kevrekidis

Physics Faculty Research & Creative Works

We demonstrate the controllable generation of distinct types of dispersive shock waves emerging in a quantum droplet bearing environment with the aid of steplike initial conditions. Dispersive regularization of the ensuing hydrodynamic singularities occurs due to the competition between mean-field repulsion and attractive quantum fluctuations. This interplay delineates the dominance of defocusing (hyperbolic) and focusing (elliptic) hydrodynamic phenomena being designated by the real and the imaginary speed of sound, respectively. Specifically, the symmetries of the extended Gross-Pitaevskii model led to a three-parameter family, encompassing two densities and a relative velocity of the underlying Riemann problem utilized herein. Surprisingly, dispersive shock …

Instantons In Φ4 Theories: Transseries, Virial Theorems, And Numerical Aspects, Ludovico T. Giorgini, Ulrich D. Jentschura, Enrico M. Malatesta, Tommaso Rizzo, Jean Zinn-Justin

Physics Faculty Research & Creative Works

We discuss numerical aspects of instantons in two- and three-dimensional φ4 theories with an internal O(N) symmetry group, the so-called N-vector model. By combining asymptotic transseries expansions for large arguments with convergence acceleration techniques, we obtain high-precision values for certain integrals of the instanton that naturally occur in loop corrections around instanton configurations. Knowledge of these numerical properties is necessary in order to evaluate corrections to the large-order factorial growth of perturbation theory in φ4 theories. The results contribute to the understanding of the mathematical structures underlying the instanton configurations.

Perturbative Versus Non-Perturbative Renormalization, S. Hariharakrishnan, Ulrich D. Jentschura, I. G. Marian, K. Szabo, I. Nandori

Physics Faculty Research & Creative Works

Approximated functional renormalization group (FRG) equations lead to regulator-dependent β-functions, in analogy to the scheme-dependence of the perturbative renormalization group (pRG) approach. A scheme transformation redefines the couplings to relate the β-functions of the FRG method with an arbitrary regulator function to the pRG ones obtained in a given scheme. Here, we consider a periodic sine-Gordon scalar field theory in d = 2 dimensions and show that the relation of the FRG and pRG approaches is intricate. Although both the FRG and the pRG methods are known to be sufficient to obtain the critical frequency β c 2 = 8 …