Digital Commons Network^™

Spatial Capital Dynamics Examining Ecological Distribution Conflicts Within The Electric Vehicle Supply-And-Consumption Chain, Alice Piva, Anna Kondi, Beatriz Couto, Chaitaly Deshpande, Dieudonné E. Da Costa, John Smith, Josephine Agbeko, Et Al.

Michigan Tech Publications

Energy transitions are often celebrated as pathways to a greener future. Yet, they frequently reproduce spatially uneven burdens and patterns of dispossession, particularly affecting marginalised communities from the Global South. While climate justice debates have advanced, their spatial dimension has received comparatively less systematic attention. This paper documents an experimental use of spatial capital as a lens to analyse how green transitions reshape territorial agency and reinforce spatial inequalities. The three case studies across the electric vehicle chain show how spatial capital illustrates the sustainability agenda’s capacity to reshape people’s ability to access, inhabit, and act within their territories.

From Regionalism To Continentalism: Lessons From Ecowas For The Implementation Of Afcfta., Michael Agbo

Theses - ALL

Abstract: This thesis examines the Economic Community of West African States (ECOWAS) as a test for understanding Africa’s continental economic integration under the African Continental Free Trade Area (AfCFTA). It argues that the persistent failures of state-led integration, in this matter, the ECOWAS, from the repeated inability to roll out a single currency for trade within West Africa to the deliberate infiltration of France and other Western capitalist interests in the economic lives of the people of West Africa, are not just incidental failures of political will or technical implementation setbacks. They are consequences of building Pan-Africanism and integration efforts …

Learning Under Information And Experience Constraints In Multi-Agent Reinforcement Learning, Qinwei Huang

Dissertations - ALL

Reinforcement learning is a powerful approach for training cooperative multi-agent systems. However, it is usually studied under idealized conditions. Standard formulations assume abundant experience, reliable communication, and cleanly observable state. Physical multi-agent systems rarely satisfy these assumptions, and instead operate under several kinds of scarcity. This dissertation studies reinforcement learning for cooperative multi-agent systems under two practical resource constraints. We show that effective learning in these settings depends not only on how much communication, computation, or experience is available, but also on how limited information and experience are represented, reused, and evaluated. Part I addresses information constraints in cooperative multi-agent …

Using Low-Frequency Vibrational Spectroscopy To Develop Analytical Profiles For Polymorphic Organic Molecular Crystals, Salvatore Zarrella

Dissertations - ALL

Low-frequency vibrational spectroscopy provides a sensitive approach for characterizing polymorphism and intermolecular dynamics in organic molecular crystals. Terahertz time-domain spectroscopy (THz-TDS) and low-frequency Raman spectroscopy probe collective lattice vibrations arising from weak intermolecular interactions, offering direct insight into crystal packing, phase stability, and structural organization that is often inaccessible to conventional diffraction and mid-infrared techniques. To interpret these modes, experimental measurements are combined with periodic solid-state density functional theory (ss-DFT), which enables vibrational assignments to specific intermolecular motions, and crystal structure prediction (CSP), which maps accessible polymorphic energy landscapes. Together, these methods form a unified experimental–computational framework for understanding molecular …

Older Recent Widows’ Physical Activity Before And After Spouses’ Deaths A Qualitative Investigation Of The Impact Of Duration And Intensity Of Care Work And Social Support, Mary Theresa Pagan

Dissertations - ALL

Abstract This study investigates and expands understanding of how care work, widowhood, social support, and physical activity intersect in the lives of older recent widows. The study addresses three primary research questions examining the duration and intensity of care work, pre- and post-death social support, and factors that influenced widows’ physical activity before and after the death of their spouses. Thirty semi-structured, face-to-face interviews conducted with heterosexual widows aged 60 and older residing in Upstate New York who were widowed within 6–24 months prior to interview. Interviews explored care work experiences, social support, widowhood transitions, and both structured and non-structured …

(R2174) A Stationary First-Order Autoregressive Process With New Discrete Lindley Marginal Distribution, Tégawendé Martin Kabore, Jean-Etienne Ouindllassida Ouédraogo

Applications and Applied Mathematics: An International Journal (AAM)

This paper introduces a new stationary first-order autoregressive integer-valued process with a marginal distribution following the New Discrete Lindley distribution, referred to as NDLINAR( 1). The process is developed to model over-dispersed count time series exhibiting a mixed behavior arising from the combination of multiple distributions. Its statistical properties are thoroughly investigated, and the parameters are estimated using conditional maximum likelihood. The asymptotic properties of the estimators are also analyzed. The performance of the proposed model is evaluated by comparing it with other existing INAR(1) processes through applications to real datasets. Results demonstrate that the NDL-INAR(1) process effectively captures the …

Dimensional Welfare Beyond Pain: Extending The Precautionary Principle In Birch’S “The Edge Of Sentience”, Willa M. Lane, Nicola S. Clayton

Animal Sentience

Birch's (2024) The Edge of Sentience identifies sentience candidates primarily through the pain-focused LSE Criteria. Yet, as Birch himself notes in Proposal 17, sentience is not pain. We argue that statutory welfare protections must therefore reach beyond pain, and that the right tool for doing so is Birch et al.’s (2020) dimensionality framework, which characterises conscious experience across five domains. Used together, the LSE Criteria establish that welfare is at stake, while the dimensionality framework maps what is at stake beyond pain to provide a taxon-specific profile of where captivity impoverishes experience. We apply this approach to invertebrate welfare and …

Mid-Barataria Sediment Diversion Project: Navigating Endangered Species Act Litigation For Human Welfare, Dane Eastman

LSU Journal of Energy Law and Resources

No abstract provided.

Mighty Mangrove Trees Bring The Creditors To The Yard: China To Swap Sri Lanka's Debt-For-Nature, Tharuka Fernando

LSU Journal of Energy Law and Resources

No abstract provided.

Understanding The Perspectives Of Refugee Youth On Education And Freedom In Malaysia, Seok Wun (Shiila) Au Yong

Dissertations - ALL

This dissertation examines how refugee youth in Malaysia understand, experience, and reimagine education and freedom within a socio-political context that denies them legal recognition, mobility, access to public education, opportunities for legal employment, and affordable healthcare. As Malaysia is not a signatory to the 1951 Refugee Convention, refugees are not formally recognized by the state. Situating itself within refugee education scholarship and drawing on transnational feminism, critical refugee studies, critical disability studies, and queer theory, this study centers refugee youth as knowledge producers, interrogates dominant narratives of refugee youth, and challenges the conventional approaches to refugee education in order to …

Syphilis And Hiv Co-Infection Risk Factors At Dr. Moewardi Hospital, 2018–2022: A Retrospective Study, Endra Yustin Ellistasari, Prasetyadi Mawardi, Pratiwi Prasetya Primisawitri, Stella Gracia Octarica

Journal of General - Procedural Dermatology and Venereology Indonesia

Background: Treponema pallidum, the agent causing syphilis, is transmitted through contact with infectious lesions, bodily fluids, blood transfusions, or perinatally. Human immunodeficiency virus (HIV) infection can mask the clinical manifestations of syphilis, while syphilis may exacerbate HIV progression. This study aimed to analyze risk factors associated with HIV co-infection among patients with syphilis.

Methods: This retrospective, analytical, observational study reviewed medical records from the Dermatology and Venereology outpatient clinic at Dr. Moewardi Hospital, Surakarta, Indonesia, between January 2018 and December 2022. Demographic, behavioral, and clinical variables were extracted. Univariable analysis was performed using simple binary logistic regression to …

(R2161) Robust Optimization Of Industrial Hazardous Waste Location-Routing Problem Considering Response Actions To Environmental Risk, Sharareh Teimoori, Farhad Hosseinzadeh Lotfi, Seyyed Esmaeil Najafi, Navid Rafiei

Applications and Applied Mathematics: An International Journal (AAM)

The management of hazardous industrial waste has emerged as a significant global challenge due to rapid technological advancements. Industrial hazardous waste management systems must be designed not only to be cost-effective but also to minimize environmental risks. This study proposes a mixed-integer programming model for the location-routing of industrial hazardous waste that incorporates both primary and secondary environmental risks, along with suitable response actions. Furthermore, a scenario-based robust optimization model is developed to address uncertainties in the quantities of industrial hazardous waste. A case study is conducted to demonstrate the applicability and comparative performance of the nominal and robust models. …

Components Of Skin Boosters: A Therapeutic Role In Dermatologic Conditions, Ita Anggraini, Yuwandita Tamara Putri Dermawan, Eka Komarasari, Prima Kartika Esti

Journal of General - Procedural Dermatology and Venereology Indonesia

Background: The term “skin booster” is commonly referred to in dermatology. These products may comprise several components, including exosomes, secretomes, chitosan, polydeoxyribonucleotide, platelet-rich plasma, and hyaluronic acid. In today’s world, the use of such products is not confined to aesthetic purposes; they are also used to treat several other skin conditions. This review paper highlights the role of “skin booster" components for different skin disorders based on their in vitro, in vivo, and clinical studies.

Discussion: “Skin boosters” are bioactive agents typically administered into the dermal layer. Understanding the mechanisms of each component is important because their applications extend beyond …

Complex Question Analysis In Voice Commands Using Generate Sql For Database Searching, P. Prabaswara, D. Wardani

Baghdad Science Journal

The definition of a complex question is a long sentence with many focal points that may have many answers, involve many entities, or use non-standard linguistic constructs. Complex questions can be obtained from voice commands. It will help some people with blindness or visual impairments. Voice commands have become a mandatory feature of applications, including the basic one to access databases. In this work, the Generate Structured Query Language Configuration (GSC) approach was developed to answer complex questions in the Indonesian language. The non-learning approach was chosen as the learning process needs costly computation and is inappropriate for low-resource languages. …

Sensorimotor Factors In Fall Risk Assessment And Prevention In Older Adults, Claire Smith

Dissertations - ALL

The primary objective of this dissertation was to test the validity and sensitivity of a novel fall risk assessment and investigate the sensorimotor factors that prevent a fall. Study 1 was designed to validate a novel reaction time test and see if it was sensitive enough to correctly assign an older adult’s fall status. The evidence showed a significant difference between young and non-faller older adults (p < 0.001) and young and faller older adults (p = 0.040), supporting the existing literature. Although there was no significant difference between the older and fallers (p = 0.037), the reaction time test was able to accurately assign adults with their fall status, accurately placing 25% of the 36% of actual fallers into the fall status category. Study 2 examined if traditionally used measures of functional health could predict an older adult’s postural performance following random perturbations at increasingly difficult intensities. Stepwise multiple regression results indicated that gait speed (p < 0.001) and balance performance (p < 0.001) were significant predictors at the lowest perturbation intensity with no distractions (single-task), and plantarflexor strength (p < 0.001) was a significant predictor at all intensities with the addition of a distraction (dual-task) for stride length performance. There were no significant predictors of bilateral symmetry performance (p > 0.05). Study 3 examined the physiological mechanisms behind postural responses following a sudden perturbation. Stepwise multiple regression results indicated that H-reflex amplitude while standing was most common significant predictor at all perturbation intensities …

Folr1-Targeted Actinium-225-Based Alpha-Particle Therapy Eliminates Ovarian Cancer, Neetu Singh, Esther Need, Ayden Berndt, Matthew Goff, Lydia J. Wilson, Firas Mourtada, Feng Guo, Tara Mastren, Taslim Al-Hilal, Anil K. Sood, Amit Maity, Scott C. Miller, Satoshi Minoshima, Shreya Goel, Sixiang Shi

Department of Radiation Oncology Faculty Papers

Despite the advancement in therapies, ovarian cancer treatment is challenging because of poor prognosis and high relapse associated with acquired resistance. Emerging targeted alpha particles, particularly actinium-225 (225Ac), for treating refractory cancers have opened avenues for improved therapeutic options. Here, we describe a successful example of folate receptor 1 (FOLR1)–targeted 225Ac alpha-particle therapy for treatment of ovarian cancer. Longitudinal positron emission tomography imaging demonstrated high tumor-specific uptake of αFOLR1 (anti-FOLR1 antibody) in SKOV3 xenografts. FOLR1-targeted 225Ac demonstrated high therapeutic efficacy, achieving marked tumor regression, 80% survival, and 40% complete tumor elimination. The therapy resulted in tumor-specific double-stranded DNA damage, and …

Investigating The Role Of Cellular Senescence On Vestibular Dysfunction In Repetitive Mild Traumatic Brain Injury, Michael Volyanyuk

Dissertations

Vestibular dysfunction is a prevalent and persistent consequence of mild traumatic brain injury (mTBI). Clinical reports reveal that women experience vestibular deficits more frequently than men following mTBI. Despite the high prevalence and debilitating nature of vestibular symptoms, preclinical literature evaluating mTBI-associated vestibular impairments is limited. Emerging evidence demonstrates that cellular senescence is involved in the pathological molecular sequela of mTBI. It has been shown that senescence contributes to cognitive deficits following repetitive mTBI (rmTBI); however, its role in rmTBI-associated vestibular dysfunction remains unexplored. This body of work investigated the role of cellular senescence on rmTBI-induced vestibular dysfunction in both …

Knowing And Being Known: Monstrosity And Relationality In Mary Shelley's Frankenstein, Rachel Carpenter

Dissertations - ALL

This dissertation looks at Mary Shelley’s 1818 novel Frankenstein as a prime example of the ways character relations and narrative form can invite both characters and readers to renegotiate the boundaries of monstrosity and humanity, how our notions of such monstrosity and humanity are constituted dynamically, through relationships, and how this negotiation is itself a religious relational dynamic. By closely reading Mary Shelley’s novel, I consider three main facets of the work: the epistolary frame of the novel as a series of letters and stories relayed between characters, the practice of naming that takes place within the novel, and the …

Press To End Nightmare: Technology, Disfigured Labor, And Retail Grocery Work, Katherine Mott

Dissertations - ALL

This study attends to the lived experiences of retail grocery customer service workers to examine how economic forces, namely the growth of online retail and technological advancements in information systems and data collection, are reshaping retail work. It draws upon in-depth interviews, content analysis, and eight months of participant observation working alongside predominantly college-educated customer service workers at Whole Foods Market, an upscale retail grocery chain with hundreds of locations across the United States, Canada, and the United Kingdom. Prior to the 2010s, Whole Foods Market’s decentralized management structure successfully deployed a hegemonic “post-industrial work ethic” rooted in environmentalism, organic …

Peptide And Peptide Bioconjugate Based Drug Development For The Treatment Of Metabolic Diseases, Nancy Cham

Dissertations - ALL

The Doyle group has coined the term ‘corrination’ to describe the conjugate modification of a peptide, protein, small molecule, or radionuclide with a corrin ring-containing molecule such as cobalamin, also known as vitamin B12 (B12), or cobinamides. By exploiting the innate chemico-physical properties of corrin ring-containing compounds, both in general and specifically via the innate dietary B12 uptake pathway in mammals, corrination has been explored for drug development and targeted/localized delivery of probes and therapeutics. Most recently, it is in the field of peptide-based therapeutics that corrination is generating significant interest, no doubt driven in part by the recent successes …

Marble Bodies: Sculpture, Gender, Race, And Nineteenth-Century U.S. Literature, Madeline Olley

Dissertations - ALL

Marble Bodies reads across both literary texts and sculptures to ask how sculptural logic operates across forms to reveal what sculptors and sculpture offer the field of nineteenth-century U.S. literary studies—formally, theoretically, and methodologically. It argues that sculpture functions not merely as subject matter within nineteenth-century American literature but as an interpretive framework that reveals how bodies are objectified, valued, and assigned cultural meaning. With attention to the formal and material properties of sculpture—stillness, smoothness, and duration—and to the questions of ideality, valuation, and preservation that sculpture generates, this dissertation shows how nineteenth-century writers and artists found in those properties …

Neural Feature Crossing For Cross-Domain Recommendation In Knowledge Management Systems, Imran Khaled, Faiez Gargouri

Baghdad Science Journal

Recently, the rapid growth of digital knowledge resources has created an urgent need for advanced recommendation systems that capable to operate across various domains. This paper introduces KnowledgeXRec, a domain-aware hybrid recommendation framework that models both shared and domain-specific user-item interactions within a unified end-to-end architecture. Domain-specific feature crosses capture patterns unique to educational and cultural domains, while shared layers enable cross-domain knowledge transfer. Learnable embedding is represented categorical features such as learning style, age group, and content attributes, and the model is jointly optimized using binary cross-entropy loss with Adam optimizer. Findings provide evidence that KnowledgeXRec consistently outperforms seven …

Predictive Mobility-Aware Analysis Of Controller Overhead In Sdn-Enabled Iot, Abdulrahman Saidu, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku, Muhammad Nura Yusuf, Farkhana Binti Muchtar

Baghdad Science Journal

The rapid growth and increasing mobility of Internet of Things (IoT) mobile devices significantly intensify flow setup requests in Software-Defined Networking (SDN). Frequent movement of mobile devices across access points triggers repeated flow rule installations in data-plane switches, leading to excessive controller overhead under limited flow-table memory capacity. Inaccurate mobility prediction in existing approaches further aggravates this challenge by causing unnecessary rule placement and redundant flow setup requests. This study investigates the impact of mobility-aware prediction on controller overhead with experimental scenarios using different groups of mobile IoT devices, while considering controller CPU and memory utilization. A proactive mobility prediction …

Data Scheduling Using Distance Function With Single-Pass Processing, Mahmood Shakir Hammoodi, Suhad Hatim Jihad, Mithal Hadi Jebur

Baghdad Science Journal

Task scheduling is one of the most fundamental difficulties confronting numerous sectors, including education, healthcare, and industrial management. Scheduling quality has a direct impact on performance efficiency, resource utilization, and end user satisfaction. With the growing volume and diversity of data, there is a greater demand for intelligent systems that can handle the spatial and temporal complexity of jobs and resource allocation. As a result, modern data analysis and decision-making processes have become critical for ensuring workflow optimization while reducing time and space waste. This study proposes an innovative approach to task scheduling that combines multidimensional data analysis using Data …

Optimized Multi-Criteria Routing Algorithm For Durable Wireless Sensor Networks, Ghaihab H. Adday, Maha S. Abdulridha, Hasanain A. Alsreeh, Taj-Aldeen N. Abdali

Baghdad Science Journal

The Internet of Things and the Fourth Industrial Revolution (IR 4.0) rely on Wireless Sensor Networks (WSNs) as their underlying infrastructure. WSNs have recently attracted significant attention due to their crucial applications, such as monitoring applications. Geographic routing algorithms are widely used in WSNs because event location is often more critical than node identification. However, these algorithms still face challenges, such as workload imbalance and high energy consumption. Energy consumption is particularly vital in WSNs due to the sensor nodes' limited power resources. This work proposed an enhanced geographic routing algorithm based on the Technique for Order of Preference by …

Tlenet-Transformer For Epilepsy Detection With Futuristic Iomt Plans, Jayanthi Vajiram, Sivakumar. S

Baghdad Science Journal

Temporal Lobe Epilepsy (TLE) is the most prevalent subtype of focal epilepsy, often posing diagnostic difficulties due to its complex clinical features. To address these challenges, this study proposes TLENet-Transformer, a novel deep learning architecture tailored for precise TLE identification. The study begins with skull stripping, bias field correction, z-score normalization, and Gaussian filtering; these methods are implemented to enhance image quality. Following this, a segmentation method based on an optimized Fuzzy C-Means clustering algorithm is employed, providing accurate delineation of regions. At this point, the segmented images are subsequently mapped to a pre-labelled Automated Anatomical Labelling (AAL) template to …

Weighted Average Ensemble Learning Model For Improving Brain Tumor Classification, Laith H. Alhasnawy, Hasanain Ali Al Essa, Tahseen A. Wotaifi, Abbas F. Hommadi, Ameer K. Al-Mashanji

Baghdad Science Journal

The detection of Brain Tumors (BTs) is of great benefit in identifying the growth of dangerous cells in the brain that pose a threat to the patient's life. Early detection of BTs remains a significant challenge due to subtle differences among tumor types and the complexity of brain anatomy. Manual diagnosis by radiologists is often time-consuming and subject to variations, which may delay treatment. Among available imaging techniques, Magnetic Resonance Imaging (MRI) is widely used because of its high-resolution capabilities. Deep Learning (DL) has achieved remarkable success in image classification tasks through Transfer Learning (TL), which utilizes pre-trained models. Therefore, …

Pre-Freudian Recurrence: Photography And The Trace Before The Uncanny, Iwan Zahar, Karna Mustaqim, Salman Maulana, Irma Damayantie, Tri Wahyudi

Bahasa dan Seni: Jurnal Bahasa, Sastra, Seni, dan Pengajarannya

This practice-led research proposes recurrence as a systematic photographic method, where Derrida's concept of iterability is achieved through controlled visual iteration. Through recurrence, identical objects undergo transformation across iterations because variations in light, motion and environmental conditions produce perceptual instability rather than visual sameness. This process produces uncanny effects identifiable through perceptual ambiguity (Jentsch), environmental transformation and reappearance of overlooked materials (Schelling). The work engages pre-Freudian concepts of the uncanny - Jentsch's intellectual uncertainty and Schelling's definition of the uncanny as ``something that should have remained hidden but has returned to light.'' Waste materials, typically ignored or excluded from conscious …

Rethinking African Security In The Anthropocene: An Alternative Framework, Hamdy A. Hassan

All Works

Introduction – Traditional approaches to African security often treat neocolonialism, governance failures, and terrorism as isolated issues, obscuring their systemic interconnections under Anthropocene conditions of human-induced environmental change. This study argues that African security should be reconceptualized in light of climate change, resource depletion, and ecosystem degradation, as these dynamics reshape the continent's collective security arrangements. Methods – This research combines critical analysis of African collective security mechanisms, focusing on the African Union and the African Peace and Security Architecture, with qualitative evidence from 15 unstructured interviews conducted in Mali, Nigeria, and Egypt between July and October 2025. Thematic qualitative …

The Multitargeted Cellular Spectrum Of Quercetin: Ameliorating Xenobiotic Toxicities And Metabolic Disorders, Wissam Sajid Hashim

Muthanna Medical Journal

Quercetin, a prominent dietary flavonol, exhibits a diverse range of biological activities that extend beyond simple free-radical scavenging, encompassing vital cytoprotective, membrane-stabilizing, and metabolic-regulatory properties.¹ This comprehensive review elucidates the multifaceted pharmacological spectrum of quercetin in restoring physiological homeostasis under conditions of xenobiotic insults and metabolic stress.² Specifically, we synthesize experimental and clinical evidence—including pivotal comparative studies to demonstrate quercetin's exceptional capacity to regulate systemic lipid profiles, preserve hemorheological parameters, and maintain cellular membrane integrity across vital systems.^3,4 Furthermore, this review highlights the therapeutic efficacy of quercetin in mitigating industrial and environmental xenobiotic-induced toxicities, with particular emphasis …