User Program Research Articles

"Using MongoDB to Understand the Underlying Methods Techniques Encryption in NoSQL database"

There is a need for appropriate encryption methods, which must be adhered by the concerned parties, in order to provide a high level of security for the secret data. In this study, an examination of the different encryption algorithms and their performance in the management of private data with authentication, access control, secure configuration, and data encryption is presented. It includes enhancing MongoDB's level-based access protected model and adding privacy keys for security and monitoring purposes respectively. The NoSQL data stores, also known as highly compressed data on non-relational database management systems, which provide support for data management of internet user programs, do not now offer this service. Data security, encryption techniques, MongoDB, and NoSQL are some of the keywords that come to mind.The proper encryption methods used to various crucial data fields provide data protection without adversely affecting the database's performance in terms of speed or memory usage. Due to the use of appropriate encryption techniques, this is achievable. Since document-oriented and unstructured data are generally kept in databases, it is frequently used to handle various sorts of data. Examples of such databases include MongoDB, Cassandra, CouchDB, Redis, Hyper-table, and others. Since they are open source, there is a critical necessity to offer good security and protect the user's private information when it is in transit or at rest. There is a need for a single solution that can improve the security of data transfer by providing an improved encryption method that speeds up processes and uses less memory when maintaining databases.

Evaluation of Usage and User Satisfaction of Undergraduates on Library Resources and Services: A Study based on the Library of the Institute of Indigenous Medicine (IIM), University of Colombo

The study focused on usage and user satisfaction of undergraduates of the library facilities provided by the library of the Institute of Indigenous Medicine, University of Colombo. The objective of the study was to determine the users’ satisfaction with information resources and services provided by the library. Also, it was aimed to investigate the purpose and frequency of library visits by undergraduates, to examine frequently used information resources and services, to find out undergraduates’ perceptions regarding future developments of the library and to provide suitable recommendations to meet undergraduates’ unmet needs. A structured questionnaire was used to collect data. Among the total students of Level 1 to Level 5, 20% of students from two Departments of Ayurveda and Unani were randomly selected as the sample. A number of 202 questionnaires were distributed and 154 students responded. The achieved response rate was 75.7%. Data were analyzed using SPSS and Wilcoxon signed-rank test was used to analyze the Likert scale responses. The study revealed that the majority of undergraduates, 77.3% of the Institute of the Indigenous Medicine were satisfied with the resources and services provided by the library and they had a positive perception of the library. The study especially revealed that existing electronic resources in the library were inadequate. Hence, steps should be taken to further the development of e-resources that effectively meet the needs of undergraduates. Improving the physical facilities and reading environment of the IIM library deserves high priority. Conducting more user awareness programs is a necessity. This should be apart from the orientation programs. Implementing marketing strategies on library resources and services needs to be raised.

The Stroke Recovery in Motion Implementation Planner: Mixed Methods User Evaluation

BackgroundAs more people are surviving stroke, there is a growing need for services and programs that support the long-term needs of people living with the effects of stroke. Exercise has many benefits; however, most people with stroke do not have access to specialized exercise programs that meet their needs in their communities. To catalyze the implementation of these programs, our team developed the Stroke Recovery in Motion Implementation Planner, an evidence-informed implementation guide for teams planning a community-based exercise program for people with stroke.ObjectiveThis study aimed to conduct a user evaluation to elicit user perceptions of the usefulness and acceptability of the Planner to inform revisions.MethodsThis mixed methods study used a concurrent triangulation design. We used purposive sampling to enroll a diverse sample of end users (program managers and coordinators, rehabilitation health partners, and fitness professionals) from three main groups: those who are currently planning a program, those who intend to plan a program in the future, and those who had previously planned a program. Participants reviewed the Planner and completed a questionnaire and interviews to identify positive features, areas of improvement, value, and feasibility. We used descriptive statistics for quantitative data and content analysis for qualitative data. We triangulated the data sources to identify Planner modifications.ResultsA total of 39 people participated in this study. Overall, the feedback was positive, highlighting the value of the Planner’s comprehensiveness, tools and templates, and real-world examples. The identified areas for improvement included clarifying the need for specific steps, refining navigation, and creating more action-oriented content. Most participants reported an increase in knowledge and confidence after reading the Planner and reported that using the resource would improve their planning approach.ConclusionsWe used a rigorous and user-centered process to develop and evaluate the Planner. End users indicated that it is a valuable resource and identified specific changes for improvement. The Planner was subsequently updated and is now publicly available for community planning teams to use in the planning and delivery of evidence-informed, sustainable, community-based exercise programs for people with stroke.

Treatment outcome, cognitive function, and psychopathology in methamphetamine users compared to other substance users.

BACKGROUNDThe rising number of people using methamphetamine leads to an increasing need for treatment options for this patient group. Evidence-based research on the efficacy of treatment programs for methamphetamine users is limited. Due to specific characteristics of methamphetamine users, the question arises whether established treatment methods for individuals using other substances can be effective for the treatment of methamphetamine dependence as well. We hypothesize that there are significant differences between the two groups that may affect the effectiveness of treatment and worsen the prognosis of treatment outcomes for methamphetamine users compared to consumers of other substances.AIMTo investigate potential differences in cognitive functioning and psychopathology between methamphetamine users and other substance users and possible correlations with treatment outcomes.METHODSA total of 110 subjects were recruited for an observational, longitudinal study from a German inpatient addiction treatment center: 55 patients with methamphetamine dependence and 55 patients with dependence of other substances (“OS group”). Both groups were examined at beginning (baseline) and end of treatment (after 6 mo) with regard to treatment retention, craving, cognitive functioning, psychosocial resources, personality traits, depression, and other psychiatric symptoms. Instruments used were Raven’s IQ test, Mannheimer craving scale, cognitrone cognitive test battery, NEO personality factors inventory, Hamilton depression scale, Becks depression inventory, and a symptom checklist. The statistical methods used were χ2-test, t-test and multiple mixed ANOVAs. RESULTSA total drop-out rate of 40% (methamphetamine-group: 36.4%; OS-group: 43.6%) was observed without significant differences between groups. At baseline, methamphetamine-group subjects significantly differed from OS-group individuals in terms of a lower intelligence quotient, fewer years of education, slower working speed, and decreased working accuracy, as well as less cannabinoid and cocaine use. Methamphetamine-group subjects further showed a significantly lower score of conscientiousness, depressive, and psychiatric symptoms than subjects from the OS-group. In both groups, a reduction of craving and depressive symptoms and an improvement of working speed and working accuracy was noted after treatment. CONCLUSIONThere are differences between methamphetamine users and users of other drugs, but not with regard to the effectiveness of treatment in this inpatient setting. There are differences in cognitive function and psychopathology between methamphetamine and other drugs users. The existing treatment options seem to be an effective approach in treating methamphetamine dependence.

Empowerment training to support service user involvement in mental health system strengthening in rural Ethiopia: a mixed-methods pilot study

BackgroundIncreased service user involvement is recommended to improve weak mental health systems in low-and middle-income countries (LMICs). However, involvement is rarely implemented and interventions to support involvement are sparse. In this study we evaluated the acceptability, feasibility and perceived outcomes of an empowerment and training program for service users and health professionals to facilitate service user involvement in mental health system strengthening in rural Ethiopia.MethodsREducing Stigma among HealthcAreProvidErs (RESHAPE) is a training curriculum for service users, their caregivers and aspirational health workers, which uses PhotoVoice methodology, to prepare them in participation of mental health systems strengthening in LMICs. We delivered the RESHAPE training augmented with empowerment content developed in Ethiopia. The interactive face-to-face training was delivered to service users and caregivers (over 10 days), and health professionals (1 day) separately. The study was an uncontrolled, convergent mixed-methods design. The quantitative data consisted of process data, satisfaction questionnaire, and a retrospective pre-test survey. Qualitative data included exit and follow-up in-depth interviews with the service users. Descriptive statistics were performed for quantitative data, and qualitative data were thematically analysed. The findings were integrated through triangulation for convergent themes following analysis.ResultsTwelve service users, 12 caregivers and 18 health professionals were enrolled, and completed the training. Participants valued the content and delivery process; the standard of the training program met their expectations and participation led to positive gains in understanding about mental illness, stigma, service-user involvement and human rights. The qualitative findings identified positive impacts, including increased self-confidence, sense of empowerment, social - and perceived therapeutic benefits.ConclusionsWe found that the RESHAPE training with added content for Ethiopia, delivered using the PhotoVoice methodology, is feasible, acceptable and of value to develop and implement training programmes which can empower service users to be involved in mental health system strengthening in this setting. Further study to assess the impact on health systems strengthening is warranted.

A MECHANISM FOR USING THE FLUSHING PROCESS MIGRATION MECHANISM IN DISTRIBUTED EXASCALE SYSTEMS

The effect of dynamic and interactive events on the function of the elements that make up the computing system manager causes the time required to run the user program to increase or the operation of these elements to change. These changes either increase the execution time of the scientific program or make the system incapable of executing the program. Computational processes on the migration process and vector algebras try to analyze and enable the Flushing process migration mechanism in support of distributed Exascale systems despite dynamic and interactive events. This paper investigates the Flushing process migration management mechanism in distributed Exascale systems, the effects of dynamic and interactive occurrences in the computational system, and the impact of dynamic and interactive events on the system.

RTL Design of CISC CPU IP Core

Abstract: Recent developments on programmable logic technology had promoted the microprocessor design task from big companies targeting the mass market to the everyday designer as intellectual property (IP) cores toward the system on-a-chip (SOC) approach. This paper shows the VHDL IP 8-bit CISC microprocessor core development which is intended as an open core for teaching applications in the digital systems laboratory. The core is fully open and therefore, the user can have access to all internal signals as well as the opportunity to make changes to the structure itself which is very useful when lecturing microprocessor design. The main advantages of the present core, compared with commercially available equivalent cores, are that it is not vendor sensitive allowing its implementation in almost any FPGA family and being an open core, it can be fully monitored and modified to fit specific design constrains. Several tests were performed to the microprocessor core, including an embedded microcontroller with RAM, ROM and I/O capabilities. The present development includes a meta-assembler and linker to embed user programs in a ROM, which is automatically generated as a VHDL description

Challenges of Clinical Practice Guidelines Adaptation in Iran: Lesson learned for Low and Middle-Income Countries.

Background: Developing a clinical practice guideline (CPG) is very time-consuming, expensive, and requires specialized knowledge; therefore, when an up-to-date and quality CPG is available, it is logical to adapt it according to local conditions. So this study aimed to identify the challenges of CPGs adaptation in Iran to help improve it and provide lessons for low and middle-income countries (LMICs). Methods: This was a qualitative study that was conducted in 2019. Semi-structured interviews were conducted with 17 participants from two levels, groups involved in the CPGs adaptation process, from research centers and specialized medical associations and policymakers and planners in CPG development and adaptation from the Ministry of Health and Medical Education (MoHME). Results: The identified challenges were classified into two basic and operational categories. Basic challenges include believing the need for CPGs adaptation, attention to CPGs adaptation in evaluation and reward systems, access to financial resources, and supervision of the adaptation process. Also, operational challenges were adaptation methodology, forming an adaptation team, consensus on interdisciplinary issues, changing programs and priorities, and external barriers in the work progress path. Conclusion: The main challenges of CPGs adaptation in Iran, as one of the LMICs, are related to education, financing, and supervision of adaptation process steps. The most significant proposed interventions to overcome the current obstacles in countries with similar contexts are holding new training courses and programs for these CPG users at different headquarters' and environmental levels, establishing an appropriate motivating system, designing an integrated adaptation system focusing on organizing related supervision affairs like planning, policy-making, and supervision at the MoHME and universities level.

E-cigarette and combusted tobacco abstinence among young adults: Secondary analyses from a U.S.-based randomized controlled trial of vaping cessation

ObjectiveTo examine patterns of abstinence from e-cigarettes, combusted tobacco products (CTPs), both, or neither among young adults enrolled in a U.S.-based randomized trial of a text message vaping cessation intervention. MethodsAt baseline, 1829 young adult e-cigarette users were categorized as Exclusive E-cigarette Users (no past 30-day CTP use; n = 1036, 56.6%) or Dual Users (past 30-day CTP use; n = 793, 43.4%). Four groups were defined at 7-months: 1) Dual Abstinent, 2) Exclusive Vaping, 3) Exclusive CTP Use, and 4) Dual Users. The proportion of participants who were Dual Abstinent was the outcome of interest. ResultsAt follow-up, 22.1% (95% CI: 20.3, 24.1) of participants were Dual Abstinent, 44.8% (95% CI: 42.5, 47.1) reported Exclusive Vaping, 6.3% (95% CI: 5.2, 7.5) reported Exclusive CTP Use, and 26.8% (95% CI: 24.8, 28.9) were Dual Users. A higher proportion of participants randomized to Intervention were Dual Abstinent (25.9%, 95% CI 23.1, 28.9) compared to Control (18.5%, 95% CI 16.0, 21.1; p = .0002). Analyses of treatment effects on dual abstinence by baseline tobacco product use favored Intervention over Control among both Exclusive E-cigarette Users (p = .019) and Dual Users (p = .0014). ConclusionA text message vaping cessation intervention was effective in promoting dual abstinence from e-cigarettes and CTPs among young adults. The advantage of treatment over control was equivalent for Exclusive E-cigarette Users and Dual Users. Rates of dual abstinence were higher among exclusive vapers than dual users, signaling the need for more research to optimize cessation programs for poly-tobacco users.

Usability of Self-Management for Amputee Rehabilitation using Technology (SMART): An online self-management program for users with lower limb loss.

Individuals with lower limb loss (LLL) need education to adapt to their amputation. Self-management programs provide education and supportive skills to manage health-related physical and psychological challenges. eHealth technologies, such as online platforms, are increasing access to educational resources. We designed an online self-management program for individuals with LLL called Self-Management for Amputee Rehabilitation using Technology (SMART); however, before evaluating its efficacy, we wanted to understand its appropriateness in the target population. To assess the usability of SMART among individuals with LLL. The study used a concurrent and retrospective think-aloud process. Individuals with LLL, aged 18 years or older (n = 9), reviewed the modules during an online video conferencing session with an assessor. SMART included four stakeholder-informed modules with 18 total sections. Participants were asked to think aloud while completing 11 SMART tasks, such as entering SMART, goal setting, finding skin care, and reading the content of 10 sections, including limb care, diet, fatigue, and energy. The interviews were transcribed verbatim and analyzed using directed content analysis. The median age was 58 (range: 30-69) years. Overall, SMART was perceived as straightforward, easy to navigate, and an accessible resource for education and skills. Difficulties were identified with navigation (e.g. skipping the "Foot care for diabetes" section), presentation (e.g. unclear audio), and language (e.g. pistoning and contracture). SMART was redesigned to address the usability issues. The next step is to explore the perceived usefulness of SMART for content and intention to use.

Intelligent charging planning for electric vehicle commercial parking lots and its impact on distribution network’s imbalance indices

The outstanding demand of Electric Vehicles (EVs) has resulted the expansion of parking lots, while leading issues such as imbalance in power grid. Therefore, the critically planned charging stations infrastructure is essential to resolve these problems. In fact, the distribution network operators (DSO), EV users, and intelligent commercial parking lots (CPL) owners are holding different views that should be considered simultaneously to improve the accuracy of an effective business plan. However, the prime challenge in addressing the planning of CPL is to increase the EV user interest while enhancing the CPL owners’ profit. Simultaneously, DSO requirement for network performance under the appropriate conditions (for example, imbalance) will also be considered. Further one of the main challenges of CPL presence in an imbalanced distribution network is the effect that additionally carry on network imbalance indices. In this paper, a two-stage framework has proposed where the first stage is accompanied with several technical parameters such as battery terms, charge/discharge specifications, and transportation parameters including daily distance traveled, arrival and departure times to the CPL, and amount EV sales, the profitability of the EV charging/discharging program for EV users as well as CPL owners calculated in the optimal CPL scheduling. In the second stage, the effect of CPLs is studied by calculating the imbalance indices in a standard IEEE imbalanced distribution network. Moreover, the results confirm that the average profit for EV users has been increased by 23% compared to the total cost paid for charging EV. Eventually, it is recognized that without changing the distribution network structure and connecting CPL to active commercial loads of the distribution network, the network imbalance could be improved around 30% during EV charging. • Provide intelligent planning to maximize possible charge/discharge rates for electric vehicles in commercial CPLs to increase EV users’ profits. • Modeling and simulation of commercial CPLs taking into account transportation parameters, EV sales and battery terms. • Illustrating the effect of intelligent parking on distribution network imbalance indices.

Color as a Trigger: the Effect of Chromatic Characteristics of Touch Buttons on the Motivation

The object of the study is modern smartphone users, the subject is the influence of chromatic characteristics of touch buttons on the motivation. The purpose of the study was to experimentally test the hypothesis that various chromatic characteristics of buttons that a person sees on a touch screen (their brightness, tone, saturation) can act as visual triggers and have a noticeable effect on the motivation to touch them. The experiment involved 48 people with normal color vision (24 men and 24 women) aged 19 to 21 years. The color stimuli of the experiment were developed on the basis of the PCCS color system (Practical Color Coordinate System) and included 52 shades. The analysis evaluated the frequency of occurrence of (1) individual colors; (2) groups of colors; (3) colors of a certain tone; (4) the probability of choosing a certain color out of two. The frequency of occurrence was assessed using procedures and methods of visual statistics. To estimate the probability of choosing a certain shade from two, the method of associative rules was used. The analysis showed that the most motivating are the shades with high saturation of four tones – bright blue and yellow, green and red colors. Women are more motivated by red and red-purple shades, men – by yellow, orange, green and green-blue. At the same time, the strategy of choosing one shade out of two in a pair is more predictable for women than for men. The obtained data have a wide application potential. They can be used in the design of websites, web applications, interactive educational materials, as well as training programs for users with different socio-demographic characteristics.

Study on the Take‐over Performance of Level 3 Autonomous Vehicles Based on Subjective Driving Tendency Questionnaires and Machine Learning Methods

AbstractLevel 3 autonomous vehicles require conditional autonomous driving in which autonomous and manual driving are alternately performed; whether the driver can resume manual driving within a limited time should be examined. This study investigates whether the demographics and subjective driving tendencies of drivers affect the take‐over performance. We measured and analyzed the reengagement and stabilization time after a take‐over request from the autonomous driving system to manual driving using a vehicle simulator that supports the driver's take‐over mechanism. We discovered that the driver's reengagement and stabilization time correlated with the speeding and wild driving tendency as well as driving workload questionnaires. To verify the efficiency of subjective questionnaire information, we tested whether the driver with slow or fast reengagement and stabilization time can be detected based on machine learning techniques and obtained results. We expect to apply these results to training programs for autonomous vehicles' users and personalized human–vehicle interfaces for future autonomous vehicles.

Measurement of master node delay in networked control systems

Master node delay is an unavoidable factor in a networked control system (NCS), which will lead to performance deterioration of the system, and large delay may even cause instability. In order to measure the master node delay in NCSs, its influence factors are analyzed and a non-perturbative black-box measurement method is proposed. In this method, a FPGA-based (Field-Programmable Gate Array) measurement device is developed, which sends out testing frames to master node periodically and triggers the master node to send out a response frame for every testing frame. Then the measurement device can get the measurement delay value by calculating the time interval between sending the testing frame and receiving the response frame, which consists of master node delay and some other delay that can be calculated precisely. Therefore, the accurate master node delay can be obtained by further processing the measurement delay value. A set of experiments were carried out and the results show that the proposed method can effectively measure the master node delay without a thorough understanding about its hardware and operating system software, and is not constrained by the type of operating system. Besides, as the master node delay can be measured exactly in the actual working condition without perturbing its user program by using this method, the results can reflect the real-time performance of the master node accurately. So that, it can provide a direct reference for choosing an appropriate master node for NCSs.

Joint Program Partitioning and Resource Allocation for Completion Time Minimization in Multi-MEC Systems

This paper considers a practical mobile edge computing (MEC) system, where edge server does not pre-install the program required to perform user offloaded computing tasks. A <i>partial program offloading</i> (PPO) scheme is proposed, which can divide a user program into two parts, where the first part is executed by the user itself and the second part is transferred to an edge server for remote execution. However, the execution of the latter part requires the results of the previous part (called <i>intermediate result</i>) as the input. We aim to minimize the overall time consumption of a multi-server MEC system to complete all user offloaded tasks. It is modeled as a mixed integer nonlinear programming (MINLP) problem which considers <i>user-and-server association</i>, <i>program partitioning</i>, and <i>communication resource allocation</i> in a joint manner. An effective algorithm is developed to solve the problem by exploiting its structural features. First, the task completion time of a single server is minimized given the computing workload and available resource. Then, the working time of the edge servers are balanced by updating user-and-server association and communication resource allocation. Numerical results show that significant performance improvement can be achieved by the proposed scheme.

Perancangan Sistem Pelayanan Antrian Badan Penyelenggara Jaminan Sosial Kesehatan

BPJS Kesehatan is a public legal entity that is responsible to the President and functions to organize a health insurance program for all Indonesians Patient users of BPJS Kesehatan must come queue since dawn till noon just to meet the doctor. In addition, there are also several prospective patients and non patients who try to seek personal gain by selling queue numbers to other prospective patients. The BPJS Health queue service system is designed using the First Come First Serve queuing method which aims to set the queue of patients in accordance with the time taken. The results of this study are a queuing service system that can make referrals and produce schedules and queue numbers for the patients.

Drassanes Exprés: a public and confidential testing service for asymptomatic STIs with same-day result notification

BackgroundSTIs are a major public health concern. Screening programmes for asymptomatic users are key components of STI control. Traditional limitations of screening programmes include low population coverage and delays in...

SYNTHESIS OF THERMAL DIAGNOSTIC EXPERT COMPONENTS WITH AN ARTIFICIAL NEURON

The article analyzes the automation tools in which artificial neural networks are used. It has been considered examples of effective use of hardware solutions with software versions of artificial neurons and other components, which allow to expand the functional properties of automation, while lowering the requirements for used computing facilities. On the example of electric motors intelligent technical diagnostics, it has been noted the possibility of assessing the technical state of complex electromechanical systems. The purpose of this work was to develop algorithms for computing and logical cycles suitable for the synthesis of a thermal diagnostic expert with an artificial neural network capable of identifying expected faults in electromechanical equipment of any complexity. It has been proposed a modular structure of the neural network software, an algorithm for the rate of temperature change, an artificial neuron module and other components. Simulation modeling and hardware implementation of an artificial neuron confirmed the suitability of the proposed solutions for the implementation of a diagnostic thermal examination device. The use of experimental data in electronic components made it possible to obtain a calibration characteristic for its subsequent use in assessing the development trend of possible non-standardized thermal events that appear when malfunctions are activated in certain parts of the operating equipment. It has been given variants of diagnostic expertise and identification of thermal events, preceding possible faults in the elements of electromechanical devices. It has been considered real examples of the main user program synthesis, taking into account access to the necessary settings of the hardware and control parts of the diagnostic device. It has been presented the illustrations of changing interfaces, which visual advantages lead to increased perception of the provided and associated computational functional properties of the diagnostic device when operating by users without special training. The applied solutions and visual examples of experimental and simulation modeling of the developed components of a thermal diagnostic expert with an artificial neural network are presented in the work.

Understanding HTT Architecture and its impact on processor's performance

This paper deals with Hyper-Threading Technology architecture and also architecture design and working of Intel's processor. Hyper- Threading Technology transforms a single physical processor into two logical processors by sharing physical execution resources and duplicating the architecture state for the two logical processors. This means that operating systems and user programs can schedule processes or threads to logical processors in the same way that they would on multiple physical processors. In terms of microarchitecture, this means that instructions from both logical processors will persist and run on shared execution resources at the same time, this technology is bound to get more popular in the future as it introduces a replacement strategy for achieving extra performance while reducing transistor and power costs.

"It was in Control of Me": Notions of Addiction and Online Child Sexual Exploitation Material Offending.

This paper focuses on notions of "addiction" among users of online child sexual exploitation material (CSEM) through a comparative analysis of two qualitative studies. The first is a 17-month anthropological ethnography (participant observation, interviews, and focus groups) in UK group programs for CSEM users, and the second is based on interviews with individuals in sexual offense treatment units of a US prison. We thematically analyze the narratives of 103 CSEM users at different timepoints and settings from pre-trial to incarceration. Those citing "addiction" focused on three areas. First was pornography progression. Second were perceived indicators of "addiction" and alignment/analogy to other addictions, including ideas about losing control; ignoring detrimental consequences and continuing; physiological signs similar to withdrawal; likening to substances; and progression from "softer" to "harder" material. Third, less common was rejecting the "addiction" label, citing choice and responsibility. We situate these results within debates and literature regarding pornography and Internet "addiction"; implications of the label; societal conceptions of sexual offending; harms of CSEM; and treatment/prevention considerations. Lastly, highlighting the merit of interdisciplinary comparative qualitative analysis, we demonstrate similarities in narratives despite differences in location, timeframe, setting, conviction status, intervention programming, and research methods.