Digital Commons Network^™

Brain Death Versus Circulatory Death: How Functional Warm Ischemia And Cold Storage Impact Myocardial Membrane Repair In Human Donor Hearts, Shiyi Li, Rishav Bhattacharya, Abdussalam E Elsenousi, Katherine V Nordick, Adel M Hassan, Syed B Peer, Camila Hochman-Mendez, Todd K Rosengart, Kenneth K Liao, Nandan K Mondal

Faculty, Staff and Students Publications

This study compares myocardial injury responses in human donor hearts from donation after brain death (DBD) and donation after circulatory death (DCD), with a focus on myocardial membrane integrity, pyroptosis, and damage. Unlike DCD hearts, which are exposed to varying durations of functional warm ischemic time (fWIT), DBD hearts, which are never subjected to warm ischemia, served as controls. A total of 24 human hearts were procured, consisting of 6 from the DBD group and 18 from the DCD group. All procured hearts were placed in cold normal saline and stored for up to 6 h. Left ventricular biopsies were …

Pathways To Prosperity: How Tourism Industry Training Reduces Poverty, Panpan Sun, Songshan Huang, Ghialy Yap, Zhibin Lin, Lei Zhao

Research outputs 2022 to 2026

This study investigates the effects of tourism industry training (TIT) on poverty alleviation, considering both direct and indirect pathways. Integrating labour mobility theory, human capital theory, and the tourism-led growth (TLG) hypothesis, we propose a new theoretical framework. Based on panel data from 29 Chinese provinces between 2000 and 2019, the empirical results show that TIT has a significant negative effect on poverty level, depth, and severity, with a larger direct impact than the indirect effect through tourism development. We also find significant regional differences in the impact of TIT on poverty reduction, with TIT having a more substantial impact …

Shelled Shut-Ins: A Conditional Escape Task Showing Perceptual Awareness In Hermit Crabs, Ari Drummond, John Spicer, Mark Briffa

School of Biological and Marine Sciences

Sentience is an increasingly popular topic in animal welfare and behavioural research. However, studying sentience can be difficult and contentious. Sentience has frequently been associated with ‘feelings’ and ‘subjective states’ not directly accessible to human observers; thus, investigating awareness in animals could be an alternative approach. Frameworks of awareness have been developed for the experimental examination of cognitive capacities that might underpin ‘feelings’ as affective states and subjective experiences. Using a framework of four hierarchically arranged levels of awareness (that is, perceptual, cognitive, assessment and executive), the awareness of an intertidal crustacean, the common hermit crab, Pagurus bernhardus , was …

Growth In The Margins: Field Measured Protein Metabolism Rates In The Common Limpet, Patella Vulgata, Ignacio A. Cienfuegos, Benjamin J. Ciotti, Richard A. Billington, Paul A. Sutton, Keiron P.P. Fraser

School of Biological and Marine Sciences

Intertidal shores are characterised by a high variability in abiotic conditions, resulting in marked daily, tidal, seasonal and vertical differences in stress conditions, yet our ability to understand the consequences for key physiological processes at corresponding scales are limited. In particular, no previous studies have directly measured protein metabolism, the key process underpinning animal growth, in the field, in any organism. We measured whole-animal (SGR) and tissue (TSGR) mass growth, protein metabolism (synthesis (k_s), degradation (k_d) and growth (k_g)), RNA to protein ratios and oxidative stress in Patella vulgata in the field every season …

Groundwater Spatial Variability Within An Atoll Island: Assessing Shallow Aquifer Heterogeneity With Geophysical And Physicochemical Measurements, N. I. Tobon-Velazquez, G. Masselink, T. J. O’Hare, R. Bates, F. K.J. Oberle, C. D. Storlazzi, D. C. Conley

School of Biological and Marine Sciences

This study examines the spatial variability of shallow groundwater on Dhigelaabadhoo Island using electromagnetic induction surveys, groundwater monitoring, and sediment analyses. The research reveals how variations in island morphology—such as differences in elevation, reef flat width, and sediment composition—affect the spatial distribution of groundwater lenses and the overall aquifer dynamics. Saltwater intrusion is especially pronounced in low elevated areas, with narrow reef flat plate and areas where higher hydraulic conductivity—driven by the presence of coarser sediments—is observed, whereas regions characterized by finer sediments, higher elevation, and wider reef flat plates tend to support more symmetric and less saline groundwater lenses. …

Gelatinous Zooplankton As Indicators In The Kunming Montreal Global Biodiversity Framework, John Terenzini, Laura J. Falkenberg, Sanae Chiba, Matthew Faith, Robert Puschendorf, Abigail Mcquatters-Gollop

School of Biological and Marine Sciences

Global biodiversity frameworks require robust, representative indicators to effectively track progress towards conservation targets. Spatial and temporal gaps in global marine biodiversity datasets, however, and a limited number of marine biodiversity indicators, limit our ability to effectively manage marine ecosystems. Despite the ecological and socio-economic significance of marine ecosystems, they remain underrepresented in current indicator suites, particularly in the recently adopted Kunming-Montreal Global Biodiversity Framework (KMGBF). Gelatinous zooplankton (GZ), a key yet often overlooked component of marine ecosystems, have the potential to strengthen biodiversity assessments through their responsiveness to environmental change and impacts on several contributions of the ocean to …

Testing The Transferability Of Ai Models For Cold-Water Coral Detection And Classification, Kyran P. Graves, Louise Allcock, David K.A. Barnes, Amelia E.H. Bridges, Kerry L. Howell

School of Biological and Marine Sciences

The proliferation of accessible deep-water imaging platforms has resulted in the acquisition of vast amounts of image data, resulting in an analysis bottleneck. Object detection is now being applied to assist the image annotation process, with the potential to reduce analysis time. However, for object detectors to effectively tackle the scale of the challenge, models need to be generalisable to allow the transfer between imaging platforms and in space. This study trains YOLOv5 object detection models to identify six coral morphology groups using annotated imagery collected by ROV ISIS in the UK (JC136). Model performance was tested with independent datasets …

Three Christmas Island Land Crabs Do Not Alter Extracellular Magnesium In Response To Acute Reduced Temperature, Katie N.G. Thiessen, Helena C. Reinardy, John I. Spicer, Lucy M. Turner

School of Biological and Marine Sciences

Magnesium is essential to numerous biological processes in many species. Including protecting intracellular pH and ATP concentrations during temperature and anoxia stress. Extracellular [Mg²⁺] is tightly regulated in many, but not all crustaceans. There is evidence that extracellular [Mg²⁺] content may be open to environmental influence such as temperature. The alteration of extracellular [Mg²⁺] in decapod crustaceans in response to temperature has been proposed, with individuals exposed to low temperature often displaying an increase in extracellular [Mg²⁺]. However, data, supporting or refuting this hypothesis, are sparse and drawn mainly from temperate and …

Surgical Interventions For Treating Vesicovaginal Fistula In Women, Yoshiyuki Okada, Tomomi Matsushita, Takeshi Hasegawa, Hisashi Noma, Erika Ota, Bob Achila, Yasukuni Yoshimura

Obstetrics and Gynaecology, East Africa

Objectives This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

To assess the benefits and harms of surgical interventions for treating vesicovaginal fistula in women.

17Β Estradiol Protection Against Medium-Change Neurotoxicity In Organotypic Hippocampal Slice Cultures, Autumn B. Stage

University of Kentucky Master's Theses

Medium change neurotoxicity can disrupt glutamate homeostasis and promote excitotoxic neuronal injury through excessive NMDA receptor activation. 17β estradiol (E2) has demonstrated neuroprotective effects in models of neuronal injury and may regulate glutamatergic signaling through metabotropic glutamate receptors (mGluR2/3). This study investigated whether E2 protects against medium change associated neurotoxicity in organotypic hippocampal slice cultures whether responses differed by sex or hippocampal region. Hippocampal slices from postnatal day 8 male and female Sprague Dawley rats were maintained in culture and exposed to 1, 10, or 100 nM E2 for 24 hours following a five day recovery period. Propidium iodide (PI) …

Citizenship And Discipleship: Upholding Ultimate Allegiance To Christ In Modern States, Boubakar Sanou

Faculty Publications

No abstract provided.

Ideology And Judicial Behavior: How United States Supreme Court Justices’ Beliefs Influence Landmark Decisions, Marina Nichols

Williams Honors College, Honors Research Projects

The United States Supreme Court plays a central role in shaping constitutional meaning and national policy through its landmark decisions. While justices are expected to decide cases based on legal reasoning and precedent, extensive scholarship suggests that ideological beliefs influence judicial behavior. This honors project examines how United States Supreme Court justices’ ideological beliefs influence landmark constitutional decisions through a critical review of existing scholarship. This project synthesizes political science and legal research on judicial ideology to assess how ideological orientations shape decision making across the Warren, Burger, Rehnquist, and Roberts Courts. By integrating qualitative analyses of landmark cases with …

Can Lower(Ed) Expert Opinions Lead To Better Consumer Ratings?: The Case Of Michelin Stars, Xingyi Li, Yiting Deng, Puneet Manchanda, Bert De Reyck

Research Collection Lee Kong Chian School Of Business

Expert opinion exerts tremendous influence on the purchase journey, but its effect on overall consumer experience is ambiguous because it can give rise to both “expectation” and “reputation” effects. This paper explores the effect of expert opinions on consumer experience via the lens of consumer reviews in the restaurant industry, where the expert opinions are conveyed by Michelin stars. The paper uses a unique data set based on the Michelin Guide for Great Britain & Ireland from 2010 to 2020. The data include consumer reviews on TripAdvisor for all restaurants that were awarded Michelin stars during this period and a …

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

Bridging The Social Class Capital Gap: A Psychological Intervention In The Newcomer Adjustment Context, Grace J. H. Lim, Marko Pitesa

Research Collection Lee Kong Chian School Of Business

Motivated by observations that workers from lower social class backgrounds often experience lower career outcomes even after securing desirable jobs, we adopted an abductive approach—combining theory (the newcomer personal capital framework) with qualitative evidence from open‐ended accounts (Study 1)—to identify three challenges these workers face after joining organizations as newcomers: limited cultural capital (i.e., institutional knowledge), lower social capital (i.e., social self‐efficacy), and lower psychological capital (i.e., distress tolerance). Furthermore, in Study 1, we developed and tested a psychological intervention targeting these challenges and found that it effectively addressed them. In Studies 2 and 3, both preregistered field experiments, we …

Policy Uncertainty Reduces Green Innovation, Mengyu Wang, Jeffrey Wurgler, Hong Zhang

Research Collection Lee Kong Chian School Of Business

Policy uncertainty can undermine the power of government subsidies to stimulate environmentally friendly research and development. We show that Chinese firms’ green R&D falls as the uncertainty of environmental subsidies rises: Exogenous, weather-driven air pollution variability induces subsidies to fluctuate, and firms in areas with high weather-driven subsidy variability undertake less green R&D and hire fewer technical employees, controlling for the average level of subsidies. Heavy emitters and environmental technology firms are more affected. The results also illustrate how policy uncertainty can arise when policymakers are influenced by conditions that are salient but with causes that are difficult to disentangle.

Fluid Agency In Ai Systems: A Case For Functional Equivalence In Copyright, Patent, And Tort, Anirban Mukherjee, Hannah H. Chang

Research Collection Lee Kong Chian School Of Business

Modern Artificial Intelligence (AI) systems exhibit fluid agency in multi-step workflows: lacking human-like consciousness or culpability, yet they display behavior that is (i) stochastic (probabilistic and path‑dependent), (ii) dynamic (co‑evolving with user interaction), and (iii) adaptive (able to reorient across contexts). These properties generate valuable outputs but collapse attribution, irreducibly entangling human and machine inputs. Doctrines that assume traceable provenance—authorship, inventorship, and liability—fracture under this unmappability, yielding ownership gaps and moral “crumple zones.”This Article argues that only functional equivalence stabilizes doctrine under unmappability: Where provenance is indeterminate, legal frameworks should treat human and AI contributions as equivalent for allocating rights …

Large Owner Expropriation Threat And Stock Option Pay's Effect On Firm Risk-­Taking Behaviors In Weak Institutions, Cuili Qian, Lipeng (Gary) Ge, Xuesong Geng, Jiatao Li, Maria Hasenhuttl

Research Collection Lee Kong Chian School Of Business

Research Question/Issue: This study investigates the impact of managerial stock option pay on firm risk-­ taking behaviors in aweak institutional context, a critical question that has been overlooked by the literature. Specifically, we build on the comparative corporate governance perspective that emphasizes the implications of large shareholders' expropriation threat in weak institutions to develop predictions about their impact on the stock option's incentive alignment effect. We further explore the boundary conditions of such a relationship.Research Findings/Insights: Based on a sample of Chinese listed firms between 2006 and 2016, we find that a high level of large shareholders' expropriation threat weakens …

Colour Segmentation In Coffee Berry Recognition: Light And Texture Convergence For Single-Overflight Frugal Agro-Diagnostics In Smallholder Coffee Environments, Cook David, Chris Napier, Leisa Armstrong

Research outputs 2022 to 2026

Smallholder coffee plantations are disadvantaged compared to larger coffee estates because they lack the digital sophistication to perform regular investigation of crops for signs of berry disease and poor berry health. Accurate visual recognition of coffee berry health is critical for early detection, particularly by pests such as Hypothenemus hampei. A persistent challenge is distinguishing true signs of infestation, and the pursuit of healthy berries is a contested struggle, classified by the size and scale, and determined by constrained financial decision support systems preventing high-level precision crop evaluation. Much of the precision agriculture discourse ignores smaller concerns in the 2-hectare …

Analytical Study Of Transient Mixed Convective Radiative Jeffrey Fluid Flow With Diffusion–Thermo And Chemical Reaction, V. Sathiya, R. Vijayaragavan, B. Rushi Kumar

Mansoura Engineering Journal

This research examines the behavior of unsteady mixed convective radiative Jeffrey fluid flow over a permeable moving plate with a diffusion thermo effect. The study incorporates multiple factors, including aligned magnetic fields, heat generation, radiation, and chemical reactions. The behavior of Jeffrey fluid under these combined conditions is particularly relevant to the design of efficient heat exchangers, MHD generators, and cooling systems for electronic components. A regular perturbation technique was employed to solve the governing equations, yielding distributions for velocity, temperature, and species concentration. These solutions enabled the derivation of expressions for skin friction, Nusselt number, and Sherwood number. Through …

Elli’S Liquid Flow In A Wavy Channel With Slip Effect, Wall Properties, And Heat Transfer, P. Devaki, Yatin Sood

Mansoura Engineering Journal

The dual behavior of Elli’s fluid motivated us to work on it. The fluid behaves as both Newtonian/ non-Newtonian based on the low and high shear rates, respectively. The paper focused on the flow of Ellis fluid in a peristaltic channel with wall properties and heat transfer. The channel is symmetric in nature, and slip conditions are considered near the elastic walls. The governing equations of the flow are solved analytically using suitable boundary conditions, which yield velocity and temperature functions. The novelty of the paper is to analyze the nature of Newtonian/non-Newtonian fluids under the same conditions so that …

Finite Element Analysis Of Oxygen Transport In Tissue And Capillaries With A Second Order Metabolic Consumption, Vikash Ramcharitar, Sreedhara Rao Gunakala, Reddappa Bandi, Donna M. G. Dyer, Jagdesh Ramnanan

Mansoura Engineering Journal

This study presents a numerical investigation into the oxygen transport through a Krogh-type capillary-tissue model with second-order tissue metabolism. The governing non-linear equations are solved by implementing a Galerkin finite element method with a fixed-point iteration scheme. The resulting code and solution algorithm were successfully validated against available analytical solutions for zeroth- and first-order kinetics, showing very good agreement. Numerical simulations indicated, that under the parameters investigated, relative to zeroth- and first-order kinetics, a second-order metabolism leads to less overall oxygen consumption within the tissue phase. This yields higher oxygen partial pressures at the outer tissue boundary and higher oxygen …

Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj

Mansoura Engineering Journal

Communication barriers between the Deaf community and the general public remain a persistent challenge, particularly in multilingual settings where Indian Sign Language (ISL) is the primary mode of interaction. We propose a real-time bidirectional translation framework integrating MediaPipe for hand landmark extraction, a Convolutional Neural Network (CNN) classifier built with TensorFlow/Keras for gesture recognition, OpenAI Whisper for robust multilingual speech-to-text transcription, and Google TTS for naturalistic speech synthesis. The system achieves 93% classification accuracy across 35 ISL classes (alphabets A–Z and numerals 1–9) on a dataset of 42,700 images, with macro and weighted F1-scores of 0.93. Deployed as a Flask …

Code-Net++: An Attention-Guided Deep Learning Framework With Grad-Cam-Based Explainability For Covid-19 Detection Using Chest X-Ray Images, Fareesa Amina, Dr Krishnanaik Vankdoth

Mansoura Engineering Journal

Chest radiograph imaging has emerged as a practical and scalable diagnostic modality for respiratory diseases, including COVID-19. However, accurate discrimination of COVID-19 manifestations from other pulmonary abnormalities remains challenging because of low contrast, imaging noise, and overlapping radiographic patterns. This work presents CODE-NET++, an enhanced attention-guided deep learning framework with Grad-CAM-based explainability for reliable COVID-19 detection using chest X-ray images. The proposed framework integrates adaptive trilateral filtering for image enhancement, Reverse Edge Attention Network (RE-Net) for lesion-aware segmentation, and an Enhanced LinkNet architecture with dilated convolutions for multiscale feature extraction and classification. Grad-CAM-based explainable artificial intelligence visualization is incorporated to …

The Effect Of Second-Order Slip In Hydromagnetic Eyring-Powell Flow: A Bvp4c Study, Ch. Maheswari, B. Naga Lakshmi, G. Dharmaiah, R. Mohana Ramana, B. Reddappa

Mansoura Engineering Journal

The steady-state Eyring–Powell boundary layer fluid flow past a moving surface is examined, considering various parameter implications. These include the wall mass transfer parameter (0.5  C   2.0), the magnetic field parameter (5  Mn 20), the velocity ratio parameter (0.1  λ1  0.7), Eyring-Powell fluid parameters (0.5 K 2 & 0.1 E 0.4), as well as the first-order velocity slip (0.1 γ 1.1) and second-order velocity slip (0.1 δ  0.4). By employing appropriate similarity transformations, the PDEs are reduced to a set of non-linear ODEs, which are subsequently solved using the bvp4c numerical technique and, an implication of key factors on shear …

A Hybrid Object Detection And Temporal Attention Framework For Intelligent Video Surveillance, Sudheer Reddy Bandi, Eswari Vanaparthi, Yakshini Edapalli, Roshan Kavuri

Mansoura Engineering Journal

The rapid growth of urban areas has greatly heightened the need for smart video surveillance systems that can automatically process extensive amounts of CCTV footage. Traditional surveillance methods largely depend on human monitoring, which is not only inefficient but also susceptible to human mistakes, especially in intricate and crowded environments. To tackle these issues, this paper introduces a combined object detection and temporal attention for intelligent video surveillance that concurrently analyzes spatial and temporal data from video streams. The proposed system analyzes real-time CCTV footage utilising a multi-pathway frame extraction technique that includes slow, fast, and full-frame sampling to capture …

Hall Current And Nth Order Chemical Reaction Effects On Unsteady 3d Mhd Williamson Nanofluid Flow With Thermophoresis And Brownian Motion Over An Inclined Stretching Sheet, Polavarapu Sudheer, Ramachandra Reddy Vaddemani, Raghunath Kodi

Mansoura Engineering Journal

This study examines the influence of Hall current and nth-order chemical reaction on unsteady three-dimensional magnetohydrodynamic (MHD) Williamson nanofluid flow over an inclined stretching sheet. The model incorporates thermal radiation, heat source, Brownian motion, and thermophoresis effects. The governing nonlinear partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and solved numerically using the shooting method with a fourth-order Runge–Kutta scheme. The results indicate that an increase in the magnetic parameter significantly reduces velocity profiles while enhancing temperature and concentration distributions. The Hall parameter reduces surface drag and improves heat transfer, while decreasing mass …

A Multi-Valued Fixed Point Theorem For Quasi-Contractions On A Cone Metric Space, Regina Mahadewsing, Sreedhara Rao Gunakala, Vikash Ramcharitar, Reddappa Bandi, Akhenaton Daaga, Thameem Basha H

Mansoura Engineering Journal

A set-valued (multi-valued)  mapping  assigns to each  a nonempty closed and bounded subset . Using this notion, the present work broadens classical fixed point theory by proving a fixed point theorem for multi-valued quasi-contractive mappings in cone metric spaces. The developed argument extends several earlier results that were restricted to single-valued maps and more familiar set-valued settings, thereby providing a wider analytical framework within ordered Banach-space structures. These contributions enrich fixed point theory in generalized metric environments and can be relevant to problems in nonlinear analysis and optimization

An Intuitionistic Fuzzy Hypergraph Model Enhanced ‎By Forest-Of-Walks Dynamics For Medical Image ‎Segmentation, Brinthaguru Thangaraj, Karthick Palanisamy

Mansoura Engineering Journal

The process of accurately segmenting Urolithiasis and pulmonary nodules from medical images presents significant difficulties because of three main factors which include nonuniform intensity distribution and the presence of weak object borders and the uncertainty caused by anatomical structure overlaps. The study introduces F-Zinhger as a solution to these problems through its application of the Forest of Walks technology. The method uses superpixels as fundamental elements which form a multi-scale hypergraph that establishes hyperedges through three criteria: intensity similarity, spatial proximity, and Z-intuitionistic fuzzy hesitation to capture complex contextual connections. The system incorporates a random walk-based label propagation system. The …

Underwater Image Identification Using Fuzzy Soft Planar Graph, Bhuvaneswari Natarajan Jayakar, Karthick Palanisamy

Mansoura Engineering Journal

High-attribute underwater image segmentation is fundamental to autonomous marine exploration, biodiversity monitoring, and subsea infrastructure inspection. However, underwater environments are inherently stochastic, exhibiting severe light attenuation, chromatic distortion, scattering effects, and noise, all of which significantly degrade image quality and challenge conventional computer vision techniques. Hence, Fuzzy logic which handles uncertainty and imprecision in data and Soft sets which manage parameterized information, are widely applied to underwater image analysis. Fuzzy Soft Planar Graphs (FSPGs) constitute a mathematical framework that integrates fuzzy set theory, soft set theory and planar graph structures for preserving spatial topology. The proposed methodology adopts a hybrid …