Approach For Interpretation Of Data Research Articles

Parent-Teacher Partnership of Grade 11 GAS students of Marigondon Senior High School in the Implementation of Modular Distance Learning Print: Basis for an Action Plan

This study aimed to know and explore the Parent-Teacher Partnership of Grade 11 GAS Students of Marigondon Senior High School in the implementation of modular distance learning print to provide an action plan as the Covid-19 pandemic brought causes to the educational system. The study employed a descriptive-evaluative research design to ascertain the level of involvement of teachers and parents, as well as the issues and challenges they had encountered while using the Modular Distribution System. The study employed both Quantitative and Qualitative Approaches in data collection and interpretation by anchoring Katz’s Model wherein it implied that the teacher’s role is specific to education, whereas the parents’ role is universal in all aspects of the child’s life. In addition, the Likert Scale was used in this section of the survey questionnaire – checklist, and the researchers provided open-ended questions in the interview guide to answer the research objectives that were answered by 20 (twenty) parents and 20 (twenty) teachers from GAS 11 in Marigondon Senior High School. The result of the study indicated that in terms of providing communication and instruction to the learners, both teachers and parents are cooperative but in terms of struggles and challenges, teachers did more struggle than the parents. Furthermore, the study found a positive relationship between parents and teachers because they both participated in modular-print setup. With this, parents were advised to reduce the act of tolerating their children by shouldering all responsibilities in terms of complying with such academic requirements. Finally, the effectiveness of modular-print setup was possible with proper engagement and contribution from both parents and teachers.

Challenges and Strategies of Parental Engagement among Secondary School Learners in Sheema District, Uganda

Purpose: The study investigated challenges and strategies of parental engagement (PE) with respect to students’ academic performance (SAP) in Sheema District, South Western Uganda.
 Methodology: The study employed qualitative approach using interpretative phenomenological approach of data collection, analysis, and interpretation. Participants of the study included purposively selected head teachers, deputy head teachers, directors of studies, chairpersons and treasurers of both Parents Teachers Associations (PTA) and Boards of Governors (BOG) of ten government grant-aided USE schools (GGAUSES) in the District. Using thematic analysis, various themes and sub-themes of PE issues and methods were derived from qualitative data.
 Findings: The challenges of parental engagement in learners' academic activities in government grant-aided USE schools in Sheema District generated three themes: Home environment-related challenges (HERC), school environment-related challenges (SERC), and government-related challenges (GRC). Each of these generated several subthemes. The strategies for overcoming the parental engagement challenges included social and economic tactics, leadership and management strategies as well as legislation and regulation.
 Recommendation: The study recommend a deliberate move on the part of key stakeholders to enhance parental engagement through abating its challenges be emphasised and that will foster learners’ academic performance.

Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing

The objective of this paper is to present a novel approach for the continuous monitoring of pavement condition through the use of combined piezoelectric sensing and novel condition-based interpretation methods. The performance of the developed approach is validated for the detection of bottom-up fatigue cracking through full-scale accelerated pavement testing (APT). The innovative piezoelectric sensors are installed at the bottom of a thin 102 mm (4 in.) asphalt layer. The structure is then loaded until failure (up to 1 million loading cycles in this study). The condition-based approach, used in this work, does not rely on stain measurements and allows users to bypass the need for any structural or finite-element models. Instead, the data compression approach relies on variations in strain energy harvested by smart sensors to track changes in material and structural conditions. Falling weight deflectometer (FWD) measurements and visual inspections were used to validate the observations from the sensing system. The results in this paper present a first large-scale validation in pavement structures for a piezopowered sensing system combined with a new response-only based approach for data reduction and interpretation. The proposed data analysis method has demonstrated a very early detection capability compared to classical inspection methods, which unveils a huge potential for improved pavement monitoring.

Refugees and National Security in Kenya: A Case Study of Eastleigh, Kamukunji Constituency, Nairobi County

Purpose: This study is about refugees and national security in Kenya: Case Study of Eastleigh, Kamukunji Constituency, Nairobi County. The research examined whether refugees are a threat to national security, evaluated the relationship between refugees and terror activities and examined whether the Kenya’s open-door policy on refugees is a threat to national security. This research was guided by conceptual framework on what national security is and threats to national security, as well as refugees and the security threats they pose to Kenya. Push and Pull Theory and Securitization Theory further guided the research.
 Methodology: The study was conducted using Mixed Methods research design that incorporated both qualitative and quantitative approaches in data collection, data analysis and interpretation of the findings. The research instruments for data collection were questionnaire and one on one interviews with refugees and relevant key stakeholders such as UNHCR, Danish Refugee Council, and Ministry of Interior and Coordination of National Government. Secondary data was obtained from books, published scholarly materials, internet publications, field research report, theses, journals, government reports, newsletters, and newspapers.
 Findings: The respondents indicated that there was a relationship between refugees and terror activities in Kenya. Majority of the respondents indicated that policies and laws were the best approaches in dealing with refugees related insecurity, thus effective policies, laws, and best approaches are required to stem the high levels of insecurity. Encampment policy did not provide sustainable solution, majority of the respondents indicated that non-refoulement refugee policies and laws, refugee settlements, local integration, voluntary repatriation was a strategy and durable solutions in dealing with refugees and insecurity, while other respondents proposed expulsion of refugees involved in criminal activities and screening of refugees for security threats, as the best approaches in dealing with refugees related insecurity. Measures against errant refugees and regulation of border entries to prevent illegal and criminal immigrants was also proposed.
 Unique contribution to theory, practice and policy: This research recommends that United Nations, World Bank, and IMF should facilitate peace keeping missions and strengthen the government institutions in countering displacements, with emphasis on resettlement and integration of refugees especially those who cannot return to their country of nationality. Approaches that foster peace and security, such as Nyumba Kumi initiatives led by the security agencies like Ministry of Interior and Coordination of National Government, should continue to bring refugees, host community, development partners in both NGO and public sector and other stakeholders on board.

Just Research: Advancing Antiracist and Antioppressive Social Work Research.

The Society for Social Work and Research (SSWR) created its Research Capacity and Development Committee in 2017 to build research capacity across the careers of social work scholars. The committee has initiated multiple conferences and webinar sessions that have increasingly focused on antiracist and antioppressive (ARAO) research, including "Mentorship for Antiracist and Inclusive Research" and "Strategies for Supporting Antiracist Pedagogy & Scholarship: Reimagining Institutional Systems & Structures." This commentary integrates themes from these sessions and other discussions among committee members about strategies to advance ARAO research. Although SSWR board members reviewed and approved this submission, it is not an official statement of SSWR or its board of directors.

Novelty detection approach for the monitoring of structural vibrations using vision-based mean frequency maps

Damage detection is an important part of modern-day engineering. Early damage detection is facilitated by Structural Health Monitoring methods, which may be employed using numerous modalities, such as vibration, guided waves, thermography, or computer vision. These methods produce information that can then be interpreted to detect and localize damage or quantify its extent. Novelty Detection (ND) is a data interpretation approach that enables damage detection without prior knowledge of damage-related influences on gathered data. ND can be conveniently performed using computer vision methods, which allow continuous, non-contact monitoring of large structures with the possibility of relying on such quantifiers as deflection, vibration, or strains.In this work, we present an ND method for monitoring the structural changes in rotary machinery equipment using vision-based data. The proposed technique detects changes in the characteristic frequencies of vibrations due to damage. Using the optical flow calculated for the videos acquired using a high-speed camera, the maps of mean frequency can be estimated and used for evaluating the differences between the reference data set and the data obtained during the monitoring. The Optimal Baseline Selection is used to compensate for the varying operational conditions under which the structure is monitored. The approach was tested on the air compressor working under variable pressure, and the damage introduced to the structure was successfully detected.

Examining nonsuicidal self-injury content creation on TikTok through qualitative content analysis

Qualitative content analysis is a methodological approach for the subjective interpretation of data. Using empirical research to illustrate the methodological advantages and disadvantages of qualitative content analysis, this article examines the suitability of qualitative content analysis for the field of LIS and illustrates how the method can be used to inform LIS information practices research of marginalized populations through emerging information and communication technologies (ICTs). Specifically, this article examines the suitability of qualitative content analysis through its application in an ongoing study exploring how individuals who engage in nonsuicidal self-injury circumnavigate algorithmic exclusion in the emerging ICT TikTok. Qualitative content analysis can advance LIS research and practice by refuting deficit thinking and understanding information creation practices in context. Methodological shortcomings relate to the reduction of data and the inability to determine cause-and-effect relationships. The author recommends that researchers supplement qualitative content analysis with additional qualitative approaches to address these limitations.

Zero-Defect Manufacturing and Automated Defect Detection Using Time of Flight Diffraction (TOFD) Images

Ultrasonic time-of-flight diffraction (TOFD) is a non-destructive testing (NDT) technique for weld inspection that has gained popularity in the industry, due to its ability to detect, position, and size defects based on the time difference of the echo signal. Although the TOFD technique provides high-speed data, ultrasonic data interpretation is typically a manual and time-consuming process, thereby necessitating a trained expert. The main aim of this work is to develop a fully automated defect detection and data interpretation approach that enables predictive maintenance using signal and image processing. Through this research, the characterization of weld defects was achieved by identifying the region of interest from A-scan signals, followed by segmentation. The experimental results were compared with samples of known defect size for validation; it was found that this novel method is capable of automatically measuring the defect size with considerable accuracy. It is anticipated that using such a system will significantly increase inspection speed, cost, and safety.

Influence of Project Planning on Economic Development Projects in Kajiado West Sub County, Kenya

Lack of or poor public participation in politics, policy discussions, and the ability to demand accountability of the government is a major deficit of democracy in Kenya. The general objective of the study was to analyse the influence of community participation on economic development projects in the Kajiado West sub-county, Kenya. The variables of interest were to examine the influence of community participation in project planning, project implementation, project monitoring and evaluation, and project coordination on economic development projects. The research methodology was mixed triangulation research which involved the use of both qualitative and quantitative approaches in data collection, analysis, and data interpretation. The study adopted a descriptive research design to allow the collection of comprehensive data. The target population was 1500 participants out of the entire population of the Kajiado West sub-county, which was approximately 104,376 people as per the 2009 population census. The sample size was 150 respondents from five wards. The collection of data was carried out using questionnaires and interview schedules. Questionnaires were circulated to traders, village elders, religious leaders, and farmers, while structured interviews were conducted with MCAs, chiefs, and assistant chiefs. The qualitative data was analysed using content analysis, while the quantitative data was analysed using both descriptive and inferential statistics. The descriptive statistics entailed mean, standard deviation, and frequencies, while the inferential statistics entailed the person correlation and regression analysis. The study found that community participation in project planning, project implementation, project monitoring and evaluation, and project coordination on economic development projects were positively and significantly associated.

Monitoring Axial Force Development in a Super-Long Pile during Construction Using BOFDA and Data Interpretation Approaches: A Case Study

Long-term monitoring data for super-long piles are scarce and valuable. This paper reports axial strain measurements of a cast-in-place large-diameter pile embedded 76.7 m into a “weathered trench” of granite in Nanshan District, Shenzhen, China, using BOFDA monitoring technology. An approach based on the load-transfer method to interpret data is proposed, in which the axial load at the pile head and the shear behavior at the pile–soil interface can be analyzed. Results show that these data can well reflect the increase in axial strain as the number of floors built increases, although there is deviation related to fiber cable bending due to the installation and compaction of concrete, and the complex loading condition at the pile head. Sensitivity analysis of parameters disclosed that the friction angle between the soil and the pile was approximately 10° for the cast-in-place pile monitored in this study, which is approximately one third of the interface friction angle, considering the slurry cake effect. The average axial force exerted on the pile head induced by building one floor ranged from 116.00 kN to 297.43 kN; this increased with the number of floors built and the total loads of the superstructure. This implies that the raft carried a large portion of the structural load during the early construction stage; piles gradually carried a major portion of the increased load due to continuous construction. The overall mobilized percentage of skin friction was approximately 40.8% when 40 floors were built, and the pile had the potential to carry more axial load.

A bibliometric analysis of obesity in marketing research

PurposeIn spite of wide civic and academic interest in obesity, there are no bibliometric records of this issue in the marketing corpus. Thus, this inquiry is conceived to address this shortcoming with a bibliometric analysis of Scopus indexed articles published on the subject.Design/methodology/approachThe analysis followed a five-step science mapping approach of study design, data collection, data analysis, data visualisation and data interpretation. R programming software was used to review 88 peer reviewed journals published between 1987 and 2021.FindingsA sizable stream of literature exploring obesity has accrued in the marketing area as authors have drawn parallels between the influence of persuasive communication and advertising on human wellbeing and child health. The United States of America is found to be by far the country with the highest number of publications on obesity, followed by Australia and the United Kingdom. The topic dendrogram indicates two strands of obesity discourse: (1) social and policy intervention opportunities and (2) the effects on social groups in the population.Research limitations/implicationsThis review will shape future enquiries investigating obesity. Beyond the focus on children, males and females, an emerging focus on cola, ethics, food waste, milk, policy-making and students is highlighted.Originality/valueThis is the first bibliometric review of obesity in the marketing literature. This is especially timely for weighing up the utility of research aimed at understanding and reporting the trends, influences and role of stakeholders in addressing obesity.

Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry: A Strategy for Optimization, Characterization, and Quantification of Antioxidant Nitro Derivatives.

As an antioxidant, N-phenyl-β-naphthylamine (PBNA) inhibits the activity of oxidants, such as NOx, to prevent the degradation of energetic materials. In the presence of NOx, nitrated products can be generated in the process potentially. To characterize nitrated PBNA in a nontargeted analysis of complex samples as such, liquid chromatography tandem quadrupole time-of-flight (LC-QTOF), as an excellent analytic technique, is used due to its high resolution and sensitivity. However, a systematic approach of instrumentation optimization, data interpretation, and quantitative determination of products is needed. Through a step-by-step evaluation of the instrumental parameters used in the Q0, Q1, and Q2 compartments of LC-QTOF, optimal ion yields of precursor ions and high-resolution MS2 fragmentation spectra at low mass defects were obtained in both negative and positive electrospray ionization modes. Through rationalization of the fragmentation pathways and verification using theoretical masses, the mononitro derivative of PBNA was accurately identified as N-(4-nitrophenyl)-naphthalen-2-amine and further confirmed using a reference standard. Using strict criteria provided by the analytical guidelines (e.g., SANTE), limit of quantitation, limit of detection, and calibration were established for the quantitation of PBNA and nitrated PBNA. From optimization to characterization and subsequent quantification of the mononitro-PBNA derivative, for the first time, the applicability of this strategy is demonstrated in the aged energetic binders.

Selective COX-2 Inhibitors: Road from Success to Controversy and the Quest for Repurposing.

The introduction of selective COX-2 inhibitors (so-called ‘coxibs’) has demonstrated tremendous commercial success due to their claimed lower potential of serious gastrointestinal adverse effects than traditional NSAIDs. However, following the repeated questioning on safety concerns, the coxibs ‘controversial me-too’ saga increased substantially, inferring to the risk of cardiovascular complications, subsequently leading to the voluntary withdrawal of coxibs (e.g., rofecoxib and valdecoxib) from the market. For instance, the makers (Pfizer and Merck) had to allegedly settle individual claims of cardiovascular hazards from celecoxib and valdecoxib. Undoubtedly, the lessons drawn from this saga revealed the flaws in drug surveillance and regulation, and taught science to pursue a more integrated translational approach for data acquisition and interpretation, prompting science-based strategies of risk avoidance in order to sustain the value of such drugs, rather than their withdrawal. Looking forward, coxibs are now being studied for repurposing, given their possible implications in the management of a myriad of diseases, including cancer, epilepsy, psychiatric disorders, obesity, Alzheimer’s disease, and so on. This article briefly summarizes the development of COX-2 inhibitors to their market impression, followed by the controversy related to their toxicity. In addition, the events recollected in hindsight (the past lessons), the optimistic step towards drug repurposing (the present), and the potential for forthcoming success (the future) are also discussed.

Fault Zones and Stress Fields in the Sedimentary Fill of Lake Baikal: Tectonophysical Approach for Seismic and Hydroacoustic Data Interpretation

Abstract —This paper presents a schematic summary of comprehensive analysis of seismic, reflection profiling, and hydroacoustic data on faults which caused sediment deformation in the central segment of the Central Baikal basin. According to the tectonophysical analysis results, the fault pattern within sediment fill has been recognized as zone-block, i.e., it represents a network of high-density fracture zones limiting weakly deformed blocks. The structure of large NE-trending fault zones (Olkhon, Beregovoy, Gydratny, and Svyatoy Nos) is controlled by main fault planes (or their segments) bounded by subsidiary faults. Geomorphic expression of NW cross faults in the sedimentary cover as broad zones of smaller-scale fractures accounts for early stages of the evolution of basement faults. In a longitudinal direction, they divide the basin into large fragments. The zone–block structure of the sedimentary strata was developed in different stress regimes: strike-slip and extension at the early and late orogenic rifting stages, respectively. At the modern stage of tectogenesis, the established network of fault zones controls the gaseous (including hydrate formation) and seismic activity expression in the subsurface. Hydrate-bearing mud volcanoes and seeps are confined to major faults, while earthquake epicenters are confined to fault zones and form clusters at junctions of large NE-trending faults with NW-oriented extension zones and E–W left-lateral strike-slip faults.

Microgeophysics and geomatics data integration reveals the internal fracturing conditions of the statue of Ramses II (Museo Egizio, Torino, Italy)

The combined acquisition of 3D ultrasonic tomography and radar scans is growing for cultural heritage diagnostics. Both methods proved to be efficient in the detection and location of fractures and weaknesses within the investigated artefacts. Although the two techniques are widely applied together, an integrated approach for data interpretation is still missing. We present the results of radar and ultrasonic prospections carried out on the statue of the young Ramses II, an absolute masterpiece of the Egyptian art preserved in the collection of the Museo Egizio of Torino (Italy). Geophysical results are incorporated within the 3D model of the statue retrieved from total station measurements, ground-based and handheld laser scanning. A data integration approach is then proposed for the joint interpretation of the geophysical results, exploiting the final ultrasonic velocity model and radar attribute analysis (i.e. local dissimilarity computation) to define a combined damage index. The proposed methodology is efficient in fracture detection and location and improves the readability of the final results also for non-expert geophysical interpreters, offering guidance to the museum for preservation and restoration of the masterpiece.

Hiding in Plain Sight: Factors Influencing the Neuroinflammatory Response to Sport-Related Concussion.

Sport-related concussion (SRC) is a major concern among athletes and clinicians around the world. Research into fluid biomarkers of SRC has made significant progress in understanding the complex underlying pathophysiology of concussion. However, little headway has been made toward clinically validating any biomarkers to improve the clinical management of SRC. A major obstacle toward clinical translation of any fluid biomarker is the heterogeneity of SRC overlapping with multiple physiological systems involved in pathology and recovery. Neuroinflammation post-SRC is one such system that may confound fluid biomarker data on many fronts. Neuroinflammatory processes consist of cell mediators, both within the central nervous system and the periphery, that play vital roles in regulating the response to brain injury. Further, neuroinflammation is influenced by many biopsychosocial variables present in most athletic populations. In this commentary, we propose that future fluid biomarker research should take a systems biology approach in the context of the neuroinflammatory response to SRC. We highlight how biological variables, such as age, sex, immune challenges, and hypothalamic-pituitary-adrenal (HPA)-axis responses to stress, may alter neuroinflammation. Further, we underscore the importance of accounting for health and lifestyle variables, such as diet, exercise, sleep, and pre-morbid medical factors, when measuring inflammatory markers of SRC. To successfully move toward clinical translation, fluid biomarker research should take a more holistic approach in study design and data interpretation, collecting information on hidden variables that may be influencing the neuroinflammatory response to SRC.

Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

BackgroundSymptoms in patients with advanced cancer are often inadequately captured during encounters with the healthcare team. Emerging evidence demonstrates that weekly electronic home-based patient-reported symptom monitoring with automated alerts to clinicians reduces healthcare utilization, improves health-related quality of life, and lengthens survival. However, oncology practices have lagged in adopting remote symptom monitoring into routine practice, where specific patient populations may have unique barriers. One approach to overcoming barriers is utilizing resources from value-based payment models, such as patient navigators who are ideally positioned to assume a leadership role in remote symptom monitoring implementation. This implementation approach has not been tested in standard of care, and thus optimal implementation strategies are needed for large-scale roll-out.MethodsThis hybrid type 2 study design evaluates the implementation and effectiveness of remote symptom monitoring for all patients and for diverse populations in two Southern academic medical centers from 2021 to 2026. This study will utilize a pragmatic approach, evaluating real-world data collected during routine care for quantitative implementation and patient outcomes. The Consolidated Framework for Implementation Research (CFIR) will be used to conduct a qualitative evaluation at key time points to assess barriers and facilitators, implementation strategies, fidelity to implementation strategies, and perceived utility of these strategies. We will use a mixed-methods approach for data interpretation to finalize a formal implementation blueprint.DiscussionThis pragmatic evaluation of real-world implementation of remote symptom monitoring will generate a blueprint for future efforts to scale interventions across health systems with diverse patient populations within value-based healthcare models.Trial registrationNCT04809740; date of registration 3/22/2021.

Molecular Formula Prediction for Chemical Filtering of 3D OrbiSIMS Datasets.

Modern mass spectrometry techniques produce a wealth of spectral data, and although this is an advantage in terms of the richness of the information available, the volume and complexity of data can prevent a thorough interpretation to reach useful conclusions. Application of molecular formula prediction (MFP) to produce annotated lists of ions that have been filtered by their elemental composition and considering structural double bond equivalence are widely used on high resolving power mass spectrometry datasets. However, this has not been applied to secondary ion mass spectrometry data. Here, we apply this data interpretation approach to 3D OrbiSIMS datasets, testing it for a series of increasingly complex samples. In an organic on inorganic sample, we successfully annotated the organic contaminant overlayer separately from the substrate. In a more challenging purely organic human serum sample we filtered out both proteins and lipids based on elemental compositions, 226 different lipids were identified and validated using existing databases, and we assigned amino acid sequences of abundant serum proteins including albumin, fibronectin, and transferrin. Finally, we tested the approach on depth profile data from layered carbonaceous engine deposits and annotated previously unidentified lubricating oil species. Application of an unsupervised machine learning method on filtered ions after performing MFP from this sample uniquely separated depth profiles of species, which were not observed when performing the method on the entire dataset. Overall, the chemical filtering approach using MFP has great potential in enabling full interpretation of complex 3D OrbiSIMS datasets from a plethora of material types.

A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification.

The quality and acceptance of machine learning (ML) approaches in cardiovascular data interpretation depends strongly on model design and training and the interaction with the clinical experts. We hypothesize that a software infrastructure for the training and application of ML models can support the improvement of the model training and provide relevant information for understanding the classification-relevant data features. The presented solution supports an iterative training, evaluation, and exploration of machine-learning-based multimodal data interpretation methods considering cardiac MRI data. Correction, annotation, and exploration of clinical data and interpretation of results are supported through dedicated interactive visual analytics tools. We test the presented concept with two use cases from the ACDC and EMIDEC cardiac MRI image analysis challenges. In both applications, pre-trained 2D U-Nets are used for segmentation, and classifiers are trained for diagnostic tasks using radiomics features of the segmented anatomical structures. The solution was successfully used to identify outliers in automatic segmentation and image acquisition. The targeted curation and addition of expert annotations improved the performance of the machine learning models. Clinical experts were supported in understanding specific anatomical and functional characteristics of the assigned disease classes.

"You tell him that 'baby, I am protecting myself'": Women's agency and constraint around willingness to use pre-exposure prophylaxis in the Masibambane Study.

Objectives:To explore women’s willingness to consider using pre-exposure prophylaxis for HIV prevention in the context of gendered relationship dynamics, in Durban, South Africa.Methods:As formative research prior to development of a gender-informed intervention to introduce pre-exposure prophylaxis to young, urban, educated women, we conducted six focus-group discussions and eight in-depth interviews with 46 women ages 18–25 years, who were not current pre-exposure prophylaxis users. Women were recruited from clinic and community settings using a criterion-based snowball sampling technique. Qualitative data were coded and analyzed thematically, with a team-based consensus approach for final coding, analytical decisions, and data interpretation.Results:Women clearly understood the benefits of pre-exposure prophylaxis for themselves and their partners, focusing on promoting health and their right to protect themselves from HIV infection. At the same time, and in accordance with findings from other studies, women were realistic about the concerns that would arise among male partners, including disapproval, loss of trust, possible loss of the relationship, and in some instances, the potential for violence, if they were to propose pre-exposure prophylaxis use. To resolve this tension, some women advocated for covert use as the best option for themselves and others argued for disclosure, proposing various approaches to working with partners to adopt pre-exposure prophylaxis. The suggestion that both partners use pre-exposure prophylaxis was made repeatedly. Thus, women sought to avoid discussions of trust or lack of trust and a partner’s possible infidelities, choosing instead to focus on preserving or even building a relationship through suggesting pre-exposure prophylaxis use.Conclusion:Women offered diverse narratives on agency and constraint in relation to choosing pre-exposure prophylaxis as a future prevention strategy, as well as ways to engage with their male partners about pre-exposure prophylaxis. These findings speak to the need for interventions to bolster women’s confidence, sense of empowerment, and their communication and decision-making skills for successful HIV prevention.