Large Office Research Articles

Examining The VTP Protocol, Identifying the Risks of Its Use and Providing Risk Reduction Solutions in The Computer Networks of Offices and Large Organizations

Today, one of the challenges of computer networks implemented in large offices and organizations is maintaining the stability and security of networks, as well as the ease and automation of their configuration to save the time and energy of network administrators. The VTP protocol is a tool to ease and reduce the burden of manually configuring changes to VLANs on Cisco switches. However, the use of this protocol, despite having advantages such as automatic configuration and centralized management of VLANs, has great risks such as the complexity of implementation in large networks and the loss of settings in case of wrong configuration. The problem studied in this article is to investigate the characteristics and function of this protocol and to recognize the possible risks and dangers associated with its use. In the following, solutions are provided to reduce these risks so that the benefits of this protocol can be used and at the same time protect the stability and security of the network implemented in the organization. By using this evaluation, network administrators can have an optimal and more informed use of this protocol.

Particle Swarm Optimization for multi-chiller system: Capacity configuration and load distribution

This study applies Particle Swarm Optimization (PSO) to enhance the energy efficiency of a multi-chiller system in a large office building, with a focus on optimizing capacity configuration and load distribution. Given the rising demand for sustainable energy solutions in buildings, where HVAC systems, particularly chillers, account for a significant portion of energy consumption, this research aims to reduce energy use and improve system performance. EnergyPlus simulations, based on Baltimore weather data and a reference large office model, were conducted to build a baseline dataset. This dataset was then used in Python to calculate energy consumption and optimize load distribution and capacity configuration. PSO was applied in three stages: optimizing capacity configuration using five built-in EnergyPlus algorithms, optimizing load distribution, and simultaneously optimizing both. The results showed that optimizing capacity configuration alone improved performance, even using traditional load distribution methods. Load distribution optimization outperformed other algorithms and converged at a 0.7 Part Load Ratio (PLR) for staging. The integrated PSO application achieved an 11.3 % reduction in energy consumption, a 21.5 % improvement in Coefficient of Performance (COP), and a 12.8 % increase in the Seasonal Energy Efficiency Ratio (SEER) by precise operation of 15 different combinations throughout the entire load range. These results demonstrate the potential of PSO to significantly enhance the efficiency of multi-chiller systems, providing a novel approach to optimizing both capacity configuration and load distribution. This research contributes to a robust framework for improving energy performance in building systems and offers valuable insights for future sustainable energy solutions.

Ventilation effectiveness and incomplete mixing in air distribution design for airborne transmission

How ventilation should be arranged to be effective at reasonable air change rates is one key question as ventilation criteria and standard airborne disease transmission models are based on the well-mixed assumption, but air distribution patterns lead to non-uniform spatial concentrations. In this study a new method for ventilation effectiveness application in ventilation design for airborne transmission was developed and tested with tracer gas measurements in 22 rooms. Contrary to existing ventilation effectiveness values measured with distributed source, the developed method uses a couple of point source locations corresponding to an infector to quantify infection risk for each occupant. Novelty of the method is new ventilation effectiveness indicator that makes it possible to describe the effect of spatial variation of concentration and risk with single parameter. Quanta were used as input data to calculate the ventilation rate supplied by air distribution system corresponding to a specified risk level, but the differences between studied cases do not significantly depend on the quanta values. Application of the method to measured rooms showed that simple ventilation effectiveness calculation from average concentration at the breathing height, not requiring quanta data, provided lower ventilation effectiveness and higher ventilation rate in all cases. In many cases the difference in required ventilation rates was only a few percent, but in some large spaces it exceeded 10% with maximum of 39% in large open plan office with high concentration differences. Measured ventilation effectiveness values ranging from 0.5 to 1.4 indicate a substantial improvement potential in many cases.

ИССЛЕДОВАНИЕ СИСТЕМЫ ВНУТРИФИРМЕННОГО НЕПРЕРЫВНОГО ДИСТАНЦИОННОГО ОБУЧЕНИЯ ПЕРСОНАЛА: КЕЙС ПАО «РОСТЕЛЕКОМ»

In the era of the digital economy, the undeniable importance of corporate personnel training based on the concept of lifelong education dictates the need to create a successful system of in-house employee training. The development of a system of intra-company continuous distance training of personnel becomes especially important for large companies, whose branches, divisions and additional offices are distributed over large territories, which makes it possible to effectively meet the company’s needs for personnel training and provide employees with the ability to quickly respond to changes in the internal and external environment of the company, and top management — the ability to continuously maintain competitiveness in the market. The article is devoted to the analysis of the results of a field study assessing the compliance of the current model of the system of in-house continuous distance learning for personnel at PJSC Rostelecom with real practice with the aim of improving it. Based on a comparative analysis of the data obtained, a number of “vulnerabilities” of the system were identified, for overcoming which recommendations were proposed.

Daylighting and energy performance optimization of anidolic ceiling systems for tropical office buildings

A simple window is often unable to ensure standard illumination to the deep parts of large office spaces, and advanced daylighting systems are necessary to ensure the level of interior illuminance. Anidolic ceiling systems are one of the less popular daylighting strategies designed to redirect and redistribute daylight deeper, which can reduce the demand for artificial lighting and energy use for lighting purposes. This study shows how a parametric approach can be applied to optimize the daylighting and energy performance of an anidolic ceiling system in a tropical climate. Multi-objective optimization (MOO) techniques were applied to combine different design variables to establish multiple design alternatives and find the optimal design by comparing their performances. A simulation study of an anidolic ceiling system was conducted with test models primarily developed by Rhinoceros and ClimateStudio, and optimization of performance metrics was conducted using Grasshopper and Octopus. Data exportation was done using the TT toolbox, while data analysis was done through mathematical and statistical analyses and cross-checked by Design Explorer. By incorporating an optimum anidolic ceiling system into the case office space, spatial daylight autonomy (sDA) increased 20.51 %∼68.18 %, annual sunlight exposure (ASE) decreased 15.83 %∼8.52 %, mean illuminance increased 221 lux–3027 lux and energy use intensity (EUI) reduced 189.3 kWh/(m2y)∼174 kWh/(m2y) for different configurations of test models. The results demonstrated a MOO methodology that successfully finds the optimum solutions for the anidolic ceiling systems in a deep plan office space to enhance daylighting and energy performance.

Energy performance tradeoff assessment for varying design parameters in office buildings

ABSTRACT Energy performance and heat release from buildings can differ with variations in envelope and operational parameters. This study presents an evidence-based assessment for different study locations in Japan including Sapporo, Tokyo, and Osaka. The analysis used a comparative approach using a reference energy performance simulation model for large office buildings using EnergyPlus to assess the impact of design variations on building performance. The analysis included 66 simulations with 10 design parameters and 2 construction types. The study coupled energy performance with heat release from the building towards outdoor environments since heat release can influence the local thermal environments. Desirable tradeoffs were observed for timber constructions by increasing the cooling setpoint by 1°C reduced cooling and heating energy use by 10.7% and 11.9% in Sapporo, 8.5% and 22.7% in Tokyo, and 6.8% and 24.4% in Osaka. Similarly, cooling and heating peak loads were reduced by 5.9% and 2.4% in Sapporo, 5.4% and 2.0% in Tokyo, and 6.5% and 5.2% in Osaka. Additionally, nighttime heat release also decreased by 12.4% and 13.6% in Sapporo and Tokyo, and 6.2% and 5.7% in Osaka for concrete and timber constructions. The study provides early-stage design support for energy-efficient buildings and improved local thermal environments.

Bird Nuisance at an Oil Gathering Station: A Landscape and Site Analysis

Abstract Barn swallow (Hirundo rustica) is a migratory bird. In Petapahan Gas Station (GS), Riau, this bird roost in a big number and create some nuisance due to their faeces. The objective of this paper was to analyse the possible causes of swallow’s roost behaviour at the landscape and site level, and formulate some recommendations. Migratory bird route was studied, the surrounding areas was analysed using, and characteristics of the GS was observed. Petapahan happened to be located at the known bird migratory route. The land-use of surrounded areas was a vast area of oil-palm plantation mixed with agricultural-area, open-area, and housing, create an excellent habitat for insects as the bird’s food. There was no other alternative for roost-site in the 5km radius. At the GS there are many large pipes, small pipes, handrails, I-beams, C-beams, valves, flares, big tanks, pits, office, and many other instruments that can function as the barn swallow’s roost site. Warm temperature, sufficient lighting, and safety from predator also provided good support. Basically, the GS has to accept the occurrence of the birds, while employing some management actions: (1) setting zonation for bird-free and bird-tolerance areas, and (2) put netting and other bird deterrent sensitive sites.

Multi-objective sizing and dispatch for building thermal and battery storage towards economic and environmental synergy

The role of building thermal and battery storage is pivotal in advancing smart cities and achieving sustainability goals through effective energy management. Despite their significance, there are several limitations in the sizing approach and value stream analysis with various objectives for their widespread adoption in buildings. This work proposes a flexible and scalable multi-objective optimization framework for optimal sizing and dispatch of building thermal and battery storage, addressing multiple objectives simultaneously using mixed-integer linear programming. The weighted-sum method is adapted, combining multiple objectives into a single function. The two-stage procedure iterates over different weights, generates optimal solutions, and forms the Pareto front. Case studies are performed to assess the energy, economic, and environmental benefits of building energy storage systems for a large office building in three climate locations. The results demonstrate that the proposed framework efficiently determines optimal sizing and dispatch strategies, addressing the balance between economic viability and emission reduction. The dynamic relationship between time-of-use energy charges and emission factors leads to diverse strategies based on whether economic or environmental concerns are prioritized. This research enhances our understanding of the benefits of thermal and battery storage systems in buildings, providing valuable guidance to stakeholders.

Energy characteristics of multi-chiller load distribution algorithms in a large office building

This study evaluates the energy efficiency of multi-chiller systems in large office buildings, focusing on their optimization across various climate zones as defined by ASHRAE. Using EnergyPlus for simulations, the research examines five different load distribution algorithms in multi-chiller systems that range from one to ten chillers, aiming to understand their effectiveness in 15 distinct climate zones. The primary objectives of the study include identifying the energy efficiency of multi-chiller systems in each climate zone, determining the appropriate number of chillers for each zone, and evaluating the performance of the load distribution algorithms. Based on the U.S. Department of Energy’s commercial building model, the results suggest that multi-chiller systems can significantly reduce cooling energy consumption in various climates. Among the algorithms evaluated, the Sequential Uniform Part Load Ratio (SUPLR) algorithm demonstrates notable efficiency, especially in the 4A climate zone (Baltimore), where it achieves substantial energy savings. Applying the SUPLR algorithm in a multi-chiller setup with four chillers in this zone leads to an estimated 24.5 % reduction in energy usage, equivalent to 183 MW annually. The research indicates that a range of 3 to 5 chillers is typically optimal for most climate zones. In-depth analysis in the 4A climate zone highlights the importance of minimizing operation hours at low Part Load Ratios (PLR) to ensure that chillers operate at a high Coefficient of Performance (COP). This strategy underscores the potential of well-designed multi-chiller systems to reduce cooling energy demand, particularly in climates with transitional seasons. This study provides an overview of the energy-saving potential of multi-chiller systems, applicable across a variety of climatic scenarios.

Evaluation of the Demand Flexibility Potential Through Joint Optimization of Building Thermal Response and Indoor Air Quality in Commercial Buildings

Abstract Large commercial buildings may display demand flexibility, which reduces electric energy expenses for the building owner and carbon emissions from grid operations, provides distributed energy resources, and increases the penetration of renewable energy sources. Demand-controlled ventilation (DCV) and building thermal mass control can individually and jointly provide such flexibility. The performance and financial payback of these technology options can be dramatically improved if based on hourly electric prices and carbon emissions rates. In this study, a modeled but actual large office building, simulated using New York City hourly electric prices, hourly CO2e emissions rates, and weather data for the summer 2019 cooling season is based on these dynamic driving parameters. A joint optimization of a building’s thermal mass and indoor CO2 content is presented. Superior energy savings and carbon emissions reductions are found for the joint optimization scenario when compared to both the baseline operation and individual optimization of building thermal mass and indoor CO2 content. These findings motivate the development of a real-time joint control system that utilizes closed-loop model predictive control (MPC) to optimally harness both sources of demand flexibility, a system that would require the future development of forecasting algorithms for external and control-oriented system models.

Solar Power Generation System at Household Scale

Solar power plants are renewable energy systems that utilize sunlight as a power source to generate electricity. The conversion of light energy into electrical energy is achieved through the photovoltaic effect. The process of converting solar energy into electrical energy is made possible by photovoltaic solar panels, which convert solar light energy into electricity. This technology began to be widely known and began to be widely used. Its use is widespread, ranging from large factories, office buildings, commercial buildings, shopping centers, hospitals, hotels, and households The purpose of this study is to know and analyze household-scale solar power generation systems. The method used in this study is a literature review, data used in the form of articles in electronic databases such as Google Scholar, in the period 2006 to 2023. The results showed that solar power plants (PLTS) are the right choice to overcome the energy crisis in Indonesia. Solar Power Plant Energy (PLTS) is abundant sunlight. Solar Power Plant System (PLTS) at the household level using Solar Home System (SHS) which is increasingly adopted in Indonesia (especially in households). The implication in this study is to provide a deeper understanding of household-scale solar systems, including the associated advantages and challenges. This can help individuals, institutions, and governments make better decisions regarding the use of renewable energy.

The Effect of the Characteristics of the Audit Firm and Client on the Application of the Business Risk Audit Approach

The purpose of this study is to identify the impact of certain fundamental characteristics of audit firms and their clients on the application of the business risk audit approach in Yemen, as well as to identify the responses implemented by these firms and companies to these characteristics. The study uses a descriptive-analytical approach, where the data collected through the questionnaire are described and analyzed using appropriate statistical methods. The study sample included 60 auditors from 42 audit firms and 8 individual offices, with a focus on larger offices and those associated with international audit offices, as they are more likely to apply the business risk-based audit approach. Data was sourced from the Ministry of Industry and Trade’s publications on licensed audit offices. Out of 50 electronic and 10 paper questionnaires distributed, 38 responses were received, representing a response rate of 63.33%. The results showed that the characteristics related to the audit firm have a varying impact on the application of the business risk audit approach and that the specialization of the audit firm in the client's business is the most influential factor in this regard. The results also showed that the characteristics related to audit clients do not affect the application of the business risk audit approach, indicating the existence of other factors that may affect this approach. This study is one of the few studies that address the application of the business risk audit approach in the Yemeni context, highlighting the factors affecting this application and its challenges. The study also provides some recommendations to improve audit quality and deal with business risks.

Enhancing indoor air quality in office buildings: Insight from a field study

Building tight for minimizing building energy consumption and related carbon emissions might negatively affect indoor air quality (IAQ) if this is not correctly designed and evaluated during operation. To address this concern, a post occupancy evaluation study was conducted in a recent large office building in the Autonomous Province of Bolzano (Italy). The aim of the study was to collect evidence from a relevant case study and use it as a basis to define a standardized strategy for continuous monitoring of a larger portfolio of office buildings. Additionally, carbon dioxide (CO2), particulate matter (PM2.5, PM10), total volatile organic compounds (TVOC), air temperature, and relative humidity were recorded 24/7 for a 5-week period in winter 2023. Detailed spot measurements of VOCs and aldehydes were also carried out. Perceived air quality (PAQ) was evaluated through satisfaction surveys which covered various factors influencing PAQ including 14 potential sources of dissatisfaction. A cross-modal approach allowed for a comprehensive examination of the different domains (thermal, visual, acoustic, and IAQ) on PAQ. Measured contaminants’ levels were below recommended limits. Overall, participants were neither satisfied nor dissatisfied with PAQ, and possible related sources of dissatisfaction were elements such as the relative humidity. Sick building syndrome (SBS) selfreported symptoms such as dry skin and itchy eyes confirmed potentially too low relative humidity levels.

Comparatively Study of Compressive Strength of Self-Compacting Concrete with Different Concrete Grade

In SCC, also called self-compacting concrete (SCC), voids are filled by its own weight, which prevents vibration. Large office building construction in Japan can significantly reduce noise levels on construction sites and associated environmental effects by implementing the use of SCC. According to the method, gravel makes up 50% of the concrete mix's packed density, while sand makes up 50% of mortar's packed density. Because gravel and sand are considered independently, SCC has a relatively high paste content. Thus, many SCC mixes are stronger than they should be. Recently, there has been a greater acceptance of the use of SCC. Concrete is a crucial and often utilised building material, hence attempts must be made to make it better by, for instance, constructing structures with enhanced mechanical and durability properties. The behaviour of concrete’s compressive strength and its splitting tensile strength is correlated. Analysis and experimental testing of self-compacting concrete (SCC) from different concrete classes were conducted. It was expected that both types of concrete would reach their desired compressive strengths of 25 N/mm2, 30 N/mm2, and 35 N/mm2 at 7, 14, and 28 days. Concrete sample measuring 150 mm in cube shape had their compressive and splitting tensile properties evaluated at 7, 14- and 28-days using compression testing apparatus.

Co-Optimization of Distributed Energy Resources Under Time-of-Use Pricing Frame

Abstract Distributed energy resources (DERs) have been considered as a promising solution due to the benefits on efficiency and environmental sides. However, despite the rapid development of distributed energy resources and technologies, the share of distributed energy generation is still small in comparison to that of traditional generation. Time-of-use (TOU) pricing can be an important incentive strategy to encourage the penetration of distributed energy resources. In this paper, a multi-objective optimization considering the time-of-use pricing impacts is proposed to determine the optimal configuration and capacity of distributed energy resources involving different technologies, including solar photovoltaic (PV), solar thermal collector (STC), combined heating and power system (CHP), and integrated energy storage (ES). The distributed energy resources are designed to satisfy the electric and thermal load of commercial buildings (large hotels and medium offices) partially or entirely. The proposed multi-objective optimization is utilized to configure the optimal combination of distributed energy technologies as well as the system capacity to reduce both the cost and environmental impact of the system in different locations. Results show that the proposed optimization method can achieve a trade-off between system cost and environmental impact based on the existing time-of-use pricing structure.

Too Much Information: Noise and Communication in an Open Office

Abstract Noise was among the most contested issues in the large open offices that proliferated after World War II in Europe and North America. The “landscape” offices that developed out of the German Bürolandschaft movement were known for large floor plates filled with misaligned desks. They were meant to improve employees’ communication, but their acoustic design prompted worker anxieties about distraction and diminishing privacy. While early remediation efforts sought to quiet offices, in the 1960s designers began adding random, unintelligible noise to mask distractions and arranging employees according to their expected sound levels. This shift from eliminating noise to embracing it as a space-defining element reflected a powerful new acoustic paradigm. The Bürolandschaft movement waned in the 1970s, but the judicious spatial deployment of noise remains an invaluable technique as designers consider how architecture can help or hinder communication and collective intellectual activity.

Quantifying Energy Savings from Optimal Selection of HVAC Temperature Setpoints and Setbacks across Diverse Occupancy Rates and Patterns

With the advent of flexible working arrangements, we are observing a dramatic shift in how buildings are occupied today, which presents an opportunity to optimize Heating, Ventilation, and Air Conditioning system temperature setpoints based on variations in occupancy. Guidelines often suggest the adoption of the highest or lowest setpoint or setback to minimize energy consumption in hot or cold climates, respectively. However, at outdoor temperatures where variations in occupancy heat loads prompt buildings to fluctuate across cooling, free-running, and heating mode, optimal setpoints and setbacks are not always the lowest or highest. In addition, the perturbations caused by rapid switching between setpoint and setback could diminish energy savings due to system destabilization. This paper aims to systematically compare the potential energy savings from fixed and optimal setpoints and setbacks across wide-ranging occupancy scenarios (four occupancy rates and 14 patterns). Energy simulations were conducted using the Department of Energy reference models for small, medium, and large office buildings to enable an exhaustive search of optimal setpoint/setbacks in 17 climate zones. Explored setpoints were 19.5 °C to 25.5 °C with intervals of 1 °C, and setbacks were 17 °C/19 °C for heating and 26 °C/28 °C for cooling. The findings indicate that, on average, while lower occupancy heat loads results in 5.48% energy reduction, a conventional fixed setpoint and setback strategy provides an additional 11.80%, and optimal selection of setpoints and setbacks could provide an additional 34.36–38.08%, emphasizing the untapped potential energy saving. To facilitate practical applications, this paper presents an interactive graphical interface: Optimal Temperature Setpoint Tool.

Distributed Energy Systems: Multi-Objective Design Optimization Based on Life Cycle Environmental and Economic Impacts

The distributed energy system (DES) represents an innovative approach to energy generation and distribution that promotes decentralization and diversification of energy sources. DESs can offer numerous benefits, including increased resiliency, reduced transmission losses, improved efficiency, and lower carbon emissions. The optimal design of a DES requires careful consideration of various factors such as geographical location, climate conditions, and energy demand patterns. This paper utilizes a multi-objective genetic algorithm to optimize the combination of technologies and their corresponding sizes in a distributed energy system for three types of commercial buildings—hospitals, large offices, and large hotels across eight different climate zones in the U.S. A range of technologies are considered for integration into the DES. These technologies include photovoltaic systems, wind turbines, combined heat and power systems, solar thermal collectors, and electrical and thermal energy storage. The two objectives considered are maximizing the reduction in carbon dioxide emissions and minimizing the life cycle costs for the DES. The purpose of this study is to optimize and evaluate the multi-objective design of distributed energy systems aimed at decentralizing and diversifying energy sources. The analysis of optimized DES designs across all 24 case scenarios shows that a balance between cost saving and emission reduction has been achieved. Although this study primarily focuses on specific buildings and climate zones, the methods and findings can be adapted for a wider variety of building types across different geographical locations, thus paving the way for more widespread adoption of optimized distributed energy systems.

Interpretive and Interpersonal Challenges of Digital Evidence for Public Defenders

This study uses an ethnography of a large public defender office in the U.S. to argue that the rise of digital evidence is a communication phenomenon that brings new evidentiary interpretation and interpersonal challenges for public defenders and their low socioeconomic status clients. The study’s theoretical framework draws on communication privacy management theory, context collapse, sensemaking, and sensegiving. Findings holistically show that public defenders now have to engage in collaborative interpretive work with clients to unpack the meaning and context of digital evidence. Content penned by young clients and communications related to domestic violence cases are especially challenging to interpret. Findings also show that access to highly personal data is a double-edged sword for attorney-client interactions in that it can cause feelings of discomfort for attorneys while also holding the potential to humanize clients.

Testing the Effects of App-Based Motivational Messages on Physical Activity and Resting Heart Rate Through Smartphone App Compliance in Patients With Vulnerable Coronary Artery Plaques: Protocol for a Microrandomized Trial.

Achieving the weekly physical activity recommendations of at least 150-300 minutes of moderate-intensity or 75-150 minutes of vigorous-intensity aerobic exercise is important for reducing cardiometabolic risk, but evidence shows that most people struggle to meet these goals, particularly in the mid to long term. The Messages Improving Resting Heart Health (MIRTH) study aims to determine if (1) sending daily motivational messages through a research app is effective in improving motivation and in promoting adherence to physical activity recommendations in men and women with coronary heart disease randomized to a 12-month intensive lifestyle intervention, and (2) the time of the day when the message is delivered impacts compliance with exercise training. We will conduct a single-center, microrandomized trial. Participants will be randomized daily to either receive or not receive motivational messages over two 90-day periods at the beginning (phase 1: months 4-6) and at the end (phase 2: months 10-12) of the Lifestyle Vulnerable Plaque Study. Wrist-worn devices (Fitbit Inspire 2) and Bluetooth pairing with smartphones will be used to passively collect data for proximal (ie, physical activity duration, steps walked, and heart rate within 180 minutes of receiving messages) and distal (ie, change values for resting heart rate and total steps walked within and across both phases 1 and 2 of the trial) outcomes. Participants will be recruited from a large academic cardiology office practice (Central Sydney Cardiology) and the Royal Prince Alfred Hospital Departments of Cardiology and Radiology. All clinical investigations will be undertaken at the Charles Perkins Centre Royal Prince Alfred clinic. Individuals aged 18-80 years (n=58) with stable coronary heart disease who have low attenuation plaques based on a coronary computed tomography angiography within the past 3 months and have been randomized to an intensive lifestyle intervention program will be included in MIRTH. The Lifestyle Vulnerable Plaque Study was funded in 2020 and started enrolling participants in February 2022. Recruitment for MIRTH commenced in November 2022. As of September 2023, 2 participants were enrolled in the MIRTH study and provided baseline data. This MIRTH microrandomized trial will represent the single most detailed and integrated analysis of the effects of a comprehensive lifestyle intervention delivered through a customized mobile health app on smart devices on time-based motivational messaging for patients with coronary heart disease. This study will also help inform future studies optimizing for just-in-time adaptive interventions. Australian New Zealand Clinical Trials Registry ACTRN12622000731796; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=382861. DERR1-10.2196/46082.