Digital Commons Network^™

Common Fixed Points Results For Three Mappings Under Generalized Contraction Of Suzuki-Type In Ƀ-Metric Spaces With Application, Surjeet Singh Chauhan Gonder, Manju Devi, Manish Jain, Mohammad Sajid

Baghdad Science Journal

Suzuki used a brilliant strategy in his seminal publications to expand the Banach contraction theorem (BCT). This has undergone numerous intriguing generalizations and extensions during the past few decades and led to a new trend of coincidence and fixed points for countless Suzuki-type contractive and non-expansive maps in the various spaces. In this article, in the setup of ƀ-metric spaces, the aim is to produce a common fixed point of three mappings subjected to a generalized contraction of the Suzuki type. The present work generalizes well- known results of Suzuki, Chandra et al., Roshan et al. and several other results …

A Feedback Management System Based On Blockchain Technology For Educational Institutions, Diman M. Mohammed, Rana F. Ghani

Baghdad Science Journal

The provision of feedback is an essential element in the process of enhancing the performance of an organization. With precise feedback, errors and possibilities for improvement can be determined. The purpose of every survey is to accurately capture individuals’ real feelings. Today, the majority of feedback data is stored in a database system, However, a lack of confidence in the database system results in inaccurate or partially compromised feedback. Blockchain is an innovative and promising technology that decreases security risks, eliminates fraud, and provides unprecedented levels of transparency to ensure feedback system efficiency. It is a decentralized ledger that has …

Cholesterol Metabolism Regulated By Camkk2-Creb Signaling Promotes Castration-Resistant Prostate Cancer, Chenchu Lin, Thomas L Pulliam, Jenny J Han, Jiaqian Xu, Carlos Vera Recio, Sandi R Wilkenfeld, Yan Shi, Manoj Kushwaha, Sarah Bench, Eduardo Ruiz, Sanjanaa Senthilkumar, Jayasurya Dileep, Peter D A Shepherd, Nora M Navone, Albert R Klekers, Elizabeth M Whitley, Michael M Ittmann, Livia S Eberlin, Wenyi Wang, Daniel E Frigo

Faculty, Staff and Student Publications

Castration-resistant prostate cancer (CRPC) remains an incurable disease in need of improved treatments. CAMKK2 is an emerging therapeutic target whose oncogenic effects in prostate cancer have, to date, been largely attributed to its activation of AMP-activated protein kinase (AMPK). Here, we demonstrate that CAMKK2 promotes prostate cancer growth through an alternative downstream pathway involving CAMKI and CREB. Unbiased transcriptomics identify CREB-mediated transcription as a CAMKK2-regulated process, findings that we validate using diverse molecular, genetic, and pharmacological approaches in vitro and in vivo. CAMKK2 promotes CREB phosphorylation/activation through CAMKIα independently of AMPK, CAMKIV, or other CAMKI isoforms. Functionally, the CREB family …

Tweaking Ml-Kem (Kyber) And Ml-Dsa (Dilithium), Kumar Rahul

Master’s Dissertations

Lattice-based cryptography is the use of conjectured hard problems on point lattices in Rn as the foundation for secure cryptographic systems. Attractive features of lattice cryptography include apparent resistance to quantum attacks (in contrast with most number-theoretic cryptography), high asymptotic efficiency and parallelism, security under worst-case intractability assumptions, and solutions to long-standing open problems in cryptography. This work surveys the structure, security, and optimization potential of two leading lattice-based cryptographic schemes: ML-KEM (Kyber) and ML-DSA (Dilithium). Special attention is given to their applicability in government-oriented post-quantum cryptographic systems, focusing on performance, implementation considerations, and resilience against known quantum threats. In …

Fantasy Novels, Romance, And Book Boyfriends: Romantic Views And Expectations Of Young Adult Women, Kennedy Dawn Morris

Theses and Dissertations

Despite its drop in popularity, reading is a pastime that is enjoyed by many. As with other forms of media, there is the question of how consuming literature impacts individuals. This research study examines how reading fantasy novels impacts the romantic views and expectations of women in emerging adulthood. Social comparison theory and parasocial relationships were utilized in order to examine how young adult women compare their relationships and relationship ideals to those of fictional characters, as well as how young adult women decide which fictional relationships and/or characters are worth their admiration. The findings of this study suggest that …

Effective Strategies For Empowering Women In Aerospace: Shaping The Future Of Leadership, Mariel R. Forster

Walden Dissertations and Doctoral Studies

Some aerospace leaders face challenges in implementing effective strategies to advance women in leadership roles in the industry. Executive leaders are concerned with the lack of strategies to retain women, which contributes to their underrepresentation in aerospace leadership. Grounded in transformational leadership theory, the purpose of this qualitative pragmatic inquiry was to explore the strategies aerospace leaders use to advance women in aerospace leadership. The participants were seven aerospace leaders from the Southeastern United States who had implemented successful retention strategies. Data were collected through semistructured interviews and a review of public documents. Through thematic analysis eight themes were identified: …

Exploring Strategies In Manufacturing To Reduce Loss Of Workers And The Costs Associated With Turnover, Aaron Sterrett

Walden Dissertations and Doctoral Studies

High employee turnover rates in the U.S. manufacturing firms create significant operational and financial challenges. Leaders of U.S. manufacturing firms seek to address employee turnover, which threatens productivity, profitability, and long-term sustainability. Grounded in the competing values framework, this qualitative pragmatic inquiry project aimed to identify and explore manufacturers' efficient management strategies to reduce employee turnover. The participants were five individuals who work in different management roles within the manufacturing industry and have assisted in developing successful employee retention strategies. Data were collected using semistructured interviews and a review of organizational information. Four themes were identified during qualitative coding analysis: …

Impact Of Military-Related Moves On Spousal Perinatal Depression Screening And Mental Health Services, Chambraia Jones

Walden Dissertations and Doctoral Studies

Maternal depression, including perinatal depression (PND), poses significant public health risks to women, infants, and families. Although routine PND screening is recommended, limited research has examined screening and referrals among military spouses, an underserved population affected by frequent relocations and deployments. This study examined how permanent change of station (PCS) frequency affects PND screening and referrals to mental health services. Grounded in Bronfenbrenner’s socioecological model and the CDC’s social ecological model of health, eight research questions explored associations between PCS frequency, PND screening, referrals, and the moderating roles of military branch and deployment status. A quantitative cross-sectional design was used …

Intratumoral Neutrophil-To-Lymphocyte Ratio Is Mirrored By Circulating Neutrophil-To-Lymphocyte Ratio In Non-Small Cell Lung Cancer, Kyle G Mitchell, Younghee Lee, Nathaniel Deboever, Marcelo V Negrao, Hai T Tran, Edwin Parra, Lauren Byers, Alexandre Reuben, Lorenzo Federico, Chantale Bernatchez, Jing Wang, Mara B Antonoff, Ara A Vaporciyan, Stephen G Swisher, Tina Cascone, Ignacio I Wistuba, John V Heymach, Don L Gibbons, Jianjun Zhang, Daniel J Mcgrail, Boris Sepesi, Cara L Haymaker

Faculty, Staff and Student Publications

Tumor-initiated emergency granulopoiesis results in expansion of the circulating neutrophil compartment and neutrophil recruitment into the tumor microenvironment (TME), which may in turn promote tumor progression. Although an elevated circulating neutrophil-to-lymphocyte ratio (cNLR) has repeatedly been demonstrated to be an adverse prognostic factor in patients with non-small cell lung cancer (NSCLC), whether this neutrophil expansion in circulation reflects a similar relative neutrophil abundance in the TME remains unclear. We sought to characterize the relationships between cNLR and the intratumoral neutrophil-to-lymphocyte ratio (tNLR), between tNLR and proteogenomic and immune features of NSCLC tumors, and between tNLR and prognosis.We analyzed tNLR (transcriptomic …

Do Female Patients Experience Worse Outcomes Than Male Patients After Inguinal Hernia Repair? An Analysis Of The Abdominal Core Health Quality Collaborative Database, Amrita Iyer, Sunjay Kumar, Martina Rama, Sourav Podder, Li-Ching Huang, Sami Tannouri, Talar Tatarian, Francesco Palazzo

Department of Surgery Faculty Papers

BACKGROUND: Inguinal hernia repair is one of the most common general surgery operations. Some evidence suggests that female patients are at greater risk of chronic postoperative pain and hernia recurrence. We investigated rates of chronic inguinal pain and recurrence after inguinal hernia repair in both male and female patients using the Abdominal Core Health Quality Collaborative database.

METHODS: The Abdominal Core Health Quality Collaborative database was queried for patients undergoing elective, unilateral inguinal hernia repair who completed 30-day clinical follow-up and baseline and 1-year European Registry for Abdominal Wall Hernias Survey surveys. Both open and minimally invasive cases were included. …

Optimizing Costs In Plastic Surgery: A Systematic Review Of Time-Driven Activity-Based Costing Applications, Emily L. Isch, Gabrielle Kozlowski, D. Mitchell Self, Theodore E. Habarth-Morales, Sydney Somers, Ahilan Sivaganesan, David Kim, Heather A. Mcmahon, Andrew Newsman, Matthew Jenkins

Department of Surgery Faculty Papers

BACKGROUND: The rising complexity and cost of healthcare in plastic surgery, particularly in resource-intensive procedures like free flap and breast reconstruction, pose significant financial challenges. Time-driven activity-based costing (TDABC) offers a method to accurately assess these costs by mapping each step of the care cycle based on time and resources consumed. Although TDABC has been utilized in high-cost fields such as neurosurgery and spine surgery, its application in plastic surgery remains underexplored. This systematic review evaluates the literature on TDABC use in plastic surgery to identify key cost drivers and propose strategies for cost-efficiency.

METHODS: A systematic review was conducted …

Inverse Problem Of Class Of Delay Differential Equations And Fast Estimation Of Parameters, Ibrahim Makki Khalil, Jehan Mohammed Khudhir

Baghdad Science Journal

This article introduces an integral representation formula to solve delay nonlinear ordinary differential equations (DDEs) as an improvment to the method proposed by Tyukin I, et al. of solving a class of ordinary differential equations. The integral formula depends on the parameters of the systems explicitly as nonlinear parameterized computable functions. It features both linear and nonlinear equations and show an effective form for estimating unknown parameters. Solutions of DDEs are represented as sums of computable integrals which are implicitly dependent on the initial condition and the unknown parameters. This allows invoking parallel computational streams using Matlab tools of sums …

Numerical Solution Of Distributed Order Fractional Differential Equations Using Spectral Mittag-Leffler Weight Function Based On Chelyshkov Polynomials, Abdulrazzaq T. Abed, Ekhlass S. Al-Rawi

Baghdad Science Journal

In many studies, spectral methods based on one of the orthogonal polynomials and weighted residual methods (WRMs) have been used to convert the distributed-order fractional differential equation (DOFDEs) into a system of linear or nonlinear algebraic equations, and then solve this system to obtain the approximate solution. In this paper, a numerical method is presented for solving DOFDEs. The approximate solution is imposed as an orthogonal Chelyshkov polynomial with unknown coefficients. The required coefficients are obtained using WRMs, which transform the DOFDEs into a system of algebraic coefficients. The Mittag-Leffler function is proposed as a suitable weight function. The method …

Improving Golden Eagle Optimization Algorithm Through Using Wavelet Mutation, Ebtehal Talib, Abeer Salim Jamil, Nidaa Flaih Hassan

Baghdad Science Journal

The Golden Eagle Optimization (GEO) algorithm is another amazing nature inspired optimization algorithm based on the foraging behavior of the Golden Eagles. GEO is an excellent behavioral model of how Golden Eagles interact with one another while searching for prey, consisting of a population of virtual “eagles” that together represent potential solutions to the optimization problem. The “eagles” interact with one another and together communicate and move as a single unit towards something, in this case the optimal solution. In this paper, we expand upon this idea with a new version of the GEO algorithm, called Wavelet Mutation Golden Eagle …

Cancer Detection Framework Using Cellular Automata Based Segmentation And Deep Learning, Rupashri Barik, Nazma B J Naskar, Aleena Swetapadma

Baghdad Science Journal

Image processing plays vital role in medical sciences. Medical image processing reduces diagnosis time and cost. Early detection of cancer may reduce life risk. Earlier works on cancer detection mostly focused on specific organs and imaging modalities. This work aims a generalized framework for detecting tumors in various organs by analyzing different imaging modalities. Here, Cellular Automata helps in image segmentation through region growing, and deep learning algorithms made performance analysis in terms of accuracy and loss. Analyzing CT-Scan, MRI images of brain, breast, lungs, the proposed framework may assist to detect the region of mass being developed. Proposed CA-based …

Accelerating Face Mask Detection Training Model Based On Multi-Gpus And Multi-Core Cpu, Ammar Hussein Jassim, Nada Hussain Ali, Ahmed Al-Taie, Doaa Mohammad Majed

Baghdad Science Journal

Modern machine-learning applications require GPUs, and modern platforms can leverage numerous GPUs on one or more machines to increase performance. Contemporary deep-learning models are too huge for CPU or GPU training. Training these models with many GPUs without performance degradation is necessary to train them rapidly and maximize GPU consumption. Thus, training deep convolutional neural networks (DCNN) with multiple GPUs has become necessary for improving training. Therefore, we presented a parallel design and development of an efficient model for enhancing face mask CNN performance and improving resource efficiency. This DCNN model is a parallel training system over multiple GPUs, a …

Determination Of Mitoxantrone In Environmental Waters: A Spectrophotometric Method With Preconcentration By Salt Saturated Pipette-Tip Micro Solid Phase Extraction Using Molecularly Imprinted Polymer, Sayyed Hossein Hashemi, Massoud Kaykhaii, Ahmad Jamali Keikha, Mina Esmailiun

Turkish Journal of Chemistry

In this research, a fast and simple spectrophotometric method is presented for mitoxantrone determination in various aqueous samples. It utilizes preconcentration by salt saturated pipette-tip micro solid phase extraction with a selective molecularly imprinted polymer adsorbent packed in a micropipette tip. Prior to sample loading, they were saturated with a mixture of NaCl, Mg (NO3)2.6H2O and KNO3 salts, enhancing extraction efficiency by 27.5% compared to salt-free conditions. Key microextraction parameters (amount of molecularly imprinted polymer, sample pH, eluent type/volume, and adsorption/desorption cycles) were optimized using response surface methodology and one-variable-at-a-time methods. The method achieves a low detection limit (0.2 μg …

Physical And Chemical Characterization Of Recycled Glass Sand For Environmental Restoration, Shehbaz Ahmad, Julie P. Vanegas, Nicholas Borne, Natalia Butler, Toby Mendels, Leah A. Michaeloff, Diego Molina, Mary Salvaggio, Samantha Tamayo, Franziska Trautmann

Physics & Astronomy Faculty Publications

Introduction

We rely on coastal resources for food, water, and energy. However, over 75% of U.S. coastlines are eroding. Concurrently, the U.S. recycles less glass than other developed countries, landfilling hundreds of millions of tons every year. Recycled glass sand has many potential benefits over natural sand for combatting land loss; for example, it can be produced with controlled particle size to better resist erosion, making it an excellent—and underutilized—material for environmental restoration.

Objectives

This research compares the physical and chemical properties of recycled glass sand to natural sands (beach and dredge) from the U.S. Gulf Coast to assess environmental …

Cover And Contents

Turkish Journal of Chemistry

No abstract provided.

Which Adolescents Benefit Most From Positive Psychology Interventions: Examining The Common Factors Of Therapeutic Change, Nicolette Bauermeister

USF Tampa Graduate Theses and Dissertations

The literature has found positive psychology interventions to be effective at improving the subjective well-being of youth (Tejada-Gallardo et al., 2020). Further research is needed to identify variables such as common factors of change that could be contributing to whether youth report improved outcomes after participating in a positive psychology intervention. This study examined common factors of therapeutic change as predictors for outcomes such as positive affect, negative affect, and life satisfaction, which are components of subjective well-being. This dissertation aimed to fill the gap in the literature regarding common factors of change as predictors of outcomes in school-based positive …

Metabolic Control Of Glycosylation Forms For Establishing Glycan-Dependent Protein Interaction Networks, Xingyu Liu, Li Yi, Zongtao Lin, Siyu Chen, Shunyang Wang, Ying Sheng, Carlito B Lebrilla, Benjamin A Garcia, Yixuan Xie

2020-Current year OA Pubs

Protein-protein interactions (PPIs) are crucial for comprehending the molecular mechanisms and signaling pathways underlying diverse biological processes and disease progression. However, investigating PPIs involving membrane proteins is challenging due to the complexity and heterogeneity of glycosylation. To tackle this challenge, we developed an approach termed glycan-dependent affinity purification coupled with mass spectrometry (GAP-MS), specifically designed to characterize changes in glycoprotein PPIs under varying glycosylation conditions. GAP-MS integrates metabolic control of glycan profiles in cultured cells using small molecules referred to as glycan modifiers with affinity purification followed by mass spectrometry analysis (AP-MS). Here, GAP-MS was applied to characterize and compare …

Perception Of Florida Political Actions By Higher Education, Matt Vanover Vanover

Electronic Theses and Dissertations Archive

This qualitative dissertation examines the impact of recent political actions in Florida on higher education, specifically exploring how these developments have influenced tenured, public university professors' teaching practices, student interactions, and research agendas. Guided by the theoretical framework of social constructionism and employing narrative inquiry as the methodological approach, the study captures the lived experiences of six tenured faculty members at public universities across the state. The findings indicate that Florida’s political actions of Governor Ron DeSantis and a Republican-led legislature may have led to changes in the academic landscape. Professors report self-censorship in the classroom, limited discussions of controversial …

Quality Improvement Project Reducing Pediatric Anesthesia In Magnetic Resonance Imaging: The Role Of Preparedness And Education, Rachel Turner

Doctor of Nursing Practice Projects

Pediatric hematology-oncology patients undergo general anesthesia (GA) for various medical procedures, including magnetic resonance imaging (MRI) scans. Overexposure to GA increases the potential for long-term neurocognitive effects in pediatric patients. Despite the growing research literature on GA-related neurotoxicity and the Food and Drug Administration's (FDA) warnings, advanced practice providers (APP) often lack the knowledge to advocate for and support reductions in pediatric GA use. The Doctor of Nurse Practice (DNP) quality improvement (QI) project aimed to reduce unnecessary GA in pediatric hematology-oncology patients undergoing MRI scans by addressing the primary clinic APPs' knowledge deficits through interprofessional education (IPE). Structured in …

Molecular Landscape Of Sex- And Modality-Specific Exercise Adaptation In Human Skeletal Muscle Through Large-Scale Multi-Omics Integration, Macsue Jacques, Shanie Landen, Adam P. Sharples, Andrew Garnham, Ralf Schittenhelm, Joel Steele, Aino Heikkinen, Elina Sillanpää, Miina Ollikainen, James Broatch, Navabeh Zarekookandeh, Ola Hanson, Ola Ekström, Olof Asplund, Séverine Lamon, Sarah E. Alexander, Cassandra Smith, Carlie Bauer, Mary N. Woessner, Itamar Levinger, Andrew E. Teschendorff, Linn Gillberg, Ida Blom, Jørn Wulff Helge, Nicholas Harvey, Larisa M. Haupt

Research outputs 2022 to 2026

We investigated the molecular mechanisms of exercise adaptations in human muscle by integrating genome, methylome, transcriptome, and proteome data from over 1,000 participants (2,340 muscle samples). We identified distinctive signatures associated with maximal oxygen consumption (VO2max), and multi-omics integration uncovered five key genes as robust exercise markers across layers, with transcription factors functioning as activators, synergizing with DNA methylation to regulate gene expression. Minimal sex differences were observed, while modality-specific analysis highlighted distinct pathways for aerobic and resistance exercise, contrasting with muscle disuse patterns. Finally, we created a webtool, OMAx, featuring our individual omics and integration analysis. These findings provide …

Trends In The Incidence Of Ovarian Cancer Among Premenopausal And Postmenopausal Women In The United States, 2001 To 2021, Victor Adekanmbi, Abbey B Berenson, Batul Shakir, Christine D Hsu, Thao N Hoang, Itunu O Sokale, Tolulope T Sajobi, Fangjian Guo

Faculty, Staff and Students Publications

Background: Ovarian cancer remains the deadliest and leading cause of gynecological cancer-associated mortality in the US. The aim of this study was to characterize the trends in the incidence of ovarian cancer between premenopausal and postmenopausal women to inform future targeted interventions.

Methods: This population-based cross-sectional study analyzed data from the US Cancer Statistics (USCS) database, which covered the whole of the US population between 2001 and 2021. Joinpoint regression was used to compute the average annual percentage change (APC) with 95% confidence interval (CI) and age-standardized incidence rates per 1,000,000 population.

Results: The results showed that the IR of …

Association Of Anthropometric Indices With Rs9939609 Fto Gene Polymorphism Among Overweight/Obese Women With Breast Cancer: A Case-Control Study, Huma Naqeeb, Bismillah Sehar, Sami Siraj, Ali Madi Almajwal, Bibi Hajira, Moez Al Islam Faris, Sharifa Alblooshi, Ali Saad R. Alsubaie, Mahpara Safdar, Iftikhar Alam, Falak Zeb

All Works

Background/objectives: Fat mass and obesity associated (FTO) gene and anthropometric measurements might be associated with breast cancer (BC) risk. This study aimed to assess the interactions between single nucleotide polymorphism (SNP) rs9939609 of the FTO gene, anthropometric indices, and BC risk among pre- and post-menopause women with overweight/obesity in Pakistan. Methods: This retrospective case–control study conducted on a convenience sample of 200 women divided into two groups: a case group comprised of 100 women diagnosed with BC, and control group comprised of 100 (age and menopausal status matched healthy women). Physical activity was assessed using validated questionnaire. Data on body …

Successful Treatment Of Recalcitrant Eosinophilic Pustular Folliculitis With Dupilumab, Miguel Mansilla-Polo, Fernando Navarro-Blanco, Javier López-Davia, Rafael Botella-Estrada

Sultan Qaboos University Medical Journal

Eosinophilic pustular folliculitis (EPF) is a chronic inflammatory condition characterised by the appearance of excoriated papules involving the face, neck, trunk, and root of limbs. It is a rare disease, and most treatments rely on reports of isolated cases or small case series. Numerous treatments have been employed throughout history, with variable effectiveness, including indomethacin, corticosteroids, calcineurin inhibitors, dapsone, cyclosporine, tetracyclines, isotretinoin or narrowband ultraviolet B therapy. We report the successful treatment of a 77-year-old female patient who presented to a tertiary care hospital in Valencia, Spain, in 2024 with refractory EPF, which significantly affected her quality of life due …

Hegemonic Entrepreneurial Masculinities In Patriarchal Contexts: Exploring Men's Entrepreneurship In War-Torn Territories, Doaa Althalathini, Theodore A. Khoury, Nick Rumens

Business Faculty Publications and Presentations

This article examines how the war-torn context in Iraq has affected men’s entrepreneurship and entrepreneurial masculinities. Drawing on the entrepreneurship masculinities literature, Connell’s notion of hegemonic masculinity and in-depth interviews with 21 Iraqi men entrepreneurs, this article demonstrates the complex interplay between entrepreneurship, masculinity and patriarchal dynamics in the context of wars and economic instability in Iraq. Study findings show how Iraqi men often turn to entrepreneurship out of necessity to meet patriarchal expectations of them as primary providers for their families. We contribute to the literature on entrepreneurship, men and masculinities by demonstrating how entrepreneurship not only serves as …

Advancing Political Science With Machine Learning: A Gaussian Process Approach, Yehu Chen

McKelvey School of Engineering Graduate Student Theses & Dissertations

The proliferation of data in recent decades including including survey, image and text data, has significantly transformed the landscape of political science research. Machine learning methods have played an instrumental role in analyzing these datasets, yet their application poses challenges in areas where political concepts are not directly measurable or the primary focus of inference is causality. In addition, the essence of machine learning algorithms being trained for prediction performance in a black-boxed manner, makes their outputs hardly interpretable and even unappreciated. This dissertation addresses these issues by proposing a novel methodological framework that employs Gaussian Process (GP) models, a …

Accounting For Stillbirths In Maternal Health Metrics: A Cross-Country Analysis Research In Context, Ursula Gazeley, Hallie Eilerts-Spinelli, Joshua Wilde, Hannah Blencowe, Li Liu, Wendy Graham, Veronique Filippi

Publications, Reports and Presentations

Background: Live birth is only one of four potential pregnancy outcomes, alongside stillbirth, miscarriage, and induced abortion. While morbidity and mortality associated with all pregnancy outcomes are included in the numerator of many maternal metrics, often only live births are included in the denominator. This inconsistency makes interpreting trends challenging and may exacerbate the deprioritisation of monitoring other pregnancy outcomes. We assess the effect of using (1) total births (live births and stillbirths) or (2) total pregnancies (total births plus miscarriages/induced abortions) as the denominator on estimates of maternal and pregnancy-related mortality ratios (MMR and PRMR). Methods: Using data from …