Predetermined Period Research Articles

The Resolution Rate of Pulmonary Embolism on CT Pulmonary Angiography: a Prospective Study

PurposeTo prospectively assess the rate of clot resolution from CT pulmonary angiography (CTPA) in patients with acute pulmonary embolism (PE). Materials and MethodsThis prospective cohort study included 290 patients (136 men, 154 women; mean age, 51.9 years) with acute PE. All patients had a CTPA at the presentation and had at least one follow-up within 6 months (mean 72.7 days). Sixty-four percent of patients had follow-up scans for research purposes within a pre-determined period (between 28 and 184 days; mean, 78.27 days) and 36 % had (between 2 and 184 days; mean, 62.78 days) for a clinical indication. The volume of each clot was measured using a semi-automated quantification program. The resolution rate was evaluated by interval-censored analysis. ResultsThe overall estimated probability of complete resolution was 42 % at 7 days, 56 % at 10 days, and 71 % at 45 days. Achieving complete resolution was significantly faster in patients with peripheral clots (HR: 1.78; CI: 1.05–3.03, p = 0.032) but slower in patients with consolidation and history of venous thromboembolism (VTE), (HR: 0.37; CI: 0.18–0.79, p = 0.01 and HR: 0.57; CI: 0.35–0.91, p = 0.019, respectively). Although the patients with cancer showed a faster resolution rate (HR: 1.67; CI: 1.05–2.68, p = 0.032), the mortality rate was significantly higher than non-cancer patients. ConclusionThe resolution rate of clot burden in acute PE was associated with patients' clinical presentation variables and CTPA imaging biomarkers. This information may be incorporated into designing a prediction rule and determining the appropriate duration of anticoagulation therapy in patients with acute PE.

Penentuan Premi Asuransi Jiwa Berjangka Status Last Survivor Menggunakan Model GFGM-Type II Copula

The last survivor status of term life insurance is multiple life insurance whose benefits are paid by the insurance company to the heirs if all policyholders have died within a predetermined period of time. The risk of death of a married couple is usually assumed to be independent of each other. But in fact there is a relationship between the risk of death for the couple. The method that can be used to determine the premium for married couples with the assumption of independence is the GFGM-Type II Copula method. The purpose of this study is to determine the formulation of the last survivor term life insurance premium using the GFGM-Type II Copula method. The results obtained from this study are the formulation of the last survivor term life insurance premium using the GFGM-Type II Copula method. Based on the simulation results, it is concluded that the last survivor term life insurance premium calculated with the assumption of independence is smaller than using GFGM-Type II copula Copula.

Characteristics of recent HIV infection among individuals newly diagnosed as HIV-positive in South Korea (2008–2015)

Most HIV-positive individuals diagnosed in Korea are infected through sexual contact, with the time of HIV infection therefore often being unknown. The aim of this study was to investigate the characteristics of diagnosed patients near the time of HIV seroconversion to establish useful HIV intervention strategies. Cross-sectional study. Newly diagnosed HIV cases based on the national HIV surveillance system in South Korea, 2008–2015. To distinguish recent from long-standing HIV infection among 5898 nationwide HIV-positive specimens, limiting antigen avidity assays (Sedia HIV-1 LAg-Avidity EIA, cut-off = 1.5) were performed. Data on CD4+ T cell count at HIV diagnosis and death from AIDS within one year after first HIV diagnosis were used to distinguish recent HIV infections. Acute HIV infection is characterized by detectable HIV RNA or HIV p24 antigen levels, along with a negative or indeterminate antibody western blot result, but with the subject subsequently testing positive after a predetermined period. We analyzed the characteristics of recent and acute HIV infections by sex, age, nationality, HIV testing site, region, and reason for HIV testing. Recent and acute HIV infections were described as the proportion of recent and acute HIV infections among newly-diagnosed cases in a given year. Recent and acute HIV infections over the 8-year study period were 20.5% (1210/5898) and 9.5% (562/5898), respectively. Both infections were generally higher in the following groups: males, younger age, Koreans, individuals who were tested due to disease, residents of smaller city or rural area, and individuals diagnosed in recent calendar years. Acute infections were significantly higher among individuals tested in hospitals and due to suspected HIV infection. The recent and acute HIV infection in younger age groups (< 30 years) has been increasing in a given year. There was an increase in the proportion of young individuals with recent HIV infection, and we identified risk groups more at risk of HIV infection recently in Korea. Therefore, our results could prove useful for the development and assessment of national HIV prevention strategies in Korea and provide valuable data for further HIV research.

FAKTOR-FAKTOR YANG MEMPENGARUHI KETERLAMBATAN PELAPORAN PERTANGGUNGJAWABAN KOTA PAREPARE

This study aims to determine the factors that influence the delay in reporting the accountability of the City of Parepare. The method used in this study is quantitative. The sampling technique in this study was total sampling. Total sampling is a sampling technique where the number of samples is equal to the population of 46 populations. The results showed that only one variable, namely the capacity of Human Resources (HR), affected the delay in reporting accountability. Variable use of information technology and the Internal Control System (SPI) have no effect on delays in reporting accountability. Timeliness indicates that financial statements must be presented within a predetermined period of time to show the extent of the implementation of the SKPD APBD. The delay in the accountability of one of the agencies will hamper the process of preparing the financial statements of the City of Parepare.

Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Medan Sinembah Menerapkan Metode ROC dan MOORA

An honorary employee is someone who works for a company that is eligible to be employed as a daily employee for a predetermined period of time and also with a definite salary from the company he works for. The problem experienced in this study is about the process of selecting honorary employees. The selection of honorary employees so far has only looked at education, even though in the process of selecting honorary employees several criteria must be used. The criteria in this study are Education, Age, Height, Distance from Home, Work Experience, Character and Test Values. From the problems encountered, it is very appropriate if the Medan Sinembah Village party implements a Decision Support System. The method used in this study is ROC and MOORA, this method was chosen because it is able to provide the best decision based on predetermined criteria where the best alternative is alternative A18 on behalf of "Andry" with a value of Yi = 0.328

An optimal ordering policy for a visitor-based purchasing system with stochastic delivery time and partial prepayment for profit maximization

The classical inventory control policies assume that orders are paid for at the time of their receipts, but in practice, suppliers may require retailers to pay a fraction of the purchasing cost in advance, and sometimes allow them to pay this cost in several prepayments during a predetermined period. Planning inventory replenishments and prepayments become challenging when decisions must be made under uncertainty, especially when delivery time is stochastic, and shortages may occur. This paper develops an inventory control model in a purchasing system in which a visitor sells the product of a manufacturer, and a buyer receives call from the visitor to make an order and items arrives at stochastic time. Both partial prepayments and partial backordering are assumed in the model. The main aim of the paper is to determine the optimal level of inventory of the buyer such that his total profit is maximized. A mathematical model with a general probability distribution for lead time is developed and globally optimal solutions are derived for the model. The applicability of the model is discussed through two special cases for uniform and exponential probability distributions. The results are supportive of the proposed ideas and they reflect an efficient approach.

Analysis of factors that influence the occurrence of erosive branches on the left margin of a urban gully in Bauru/SP: case of COHAB-16 / Análise de fatores que influenciam a ocorrência de ramificações erosivas à margem esquerda de uma boçoroca urbana em Bauru/SP: caso COHAB-16

The intense and accelerated urbanization process leads to an increase in the use and occupation of land in cities, resulting in a reduction in permeable areas, responsible for the infiltration of water into the soil. With the addition of impermeable areas, there is an increase in surface runoff which, when concentrated, especially in regions susceptible to erosion, favors the development of linear water erosion. The objective of the work presented here was to carry out a case study at the Edson Francisco da Silva Housing Nucleus, in the city of Bauru/SP to quantify the portion of surface runoff, caused by a predetermined period of precipitation, which influences the emergence and development of erosive features on the left margin of the gully in the study area. For this, the contribution area, the slope length and the average slope were determined by Google Earth software, and the calculation of runoff was performed using the Rational Method. The survey of features, analysis and quantification of the drain inlets and study of the surroundings were carried out through field visits. In order to quantify the benefit that compensatory urban drainage techniques would bring in reducing the flow that reaches the conventional drainage system present in the neighborhood, the micro reservoir and the infiltration trench were studied.

Optimal Trading Algorithms under Regime Switching

In this article, the author is concerned with the problem of efficiently trading a large position in the marketplace when the stock price dynamic follows a regime-switching process. If the execution of a large order is not done properly, this will certainly lead to large losses. Given that the execution of a large position may take several trading days, it is therefore reasonable to assume that the market microstructure may change during the execution of the order. To address this possibility, the author assumes that the stock price follows a regime-switching model. This article is particularly interested in trading algorithms that track market benchmarks such as the volume-weighted average price (VWAP) and the minimum execution shortfall. The author proposes trading algorithms that break the execution order into small pieces and execute them over a predetermined period of time so as to minimize the overall execution shortfall or exceed the overall market VWAP. The underlying problem is formulated as a discrete-time stochastic optimal control problem with resource constraints. The value function and optimal trading strategies are derived in closed form. Numerical simulations with market data are reported to illustrate the pertinence of the approach.

Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests

BackgroundChronic lymphocytic leukemia (CLL) is one of the most common types of leukemia in the western world which affects mainly the elderly population. Progress of the disease is very heterogeneous both in terms of necessity of treatment and life expectancy. The current scoring system for prognostic evaluation of patients with CLL is called CLL-IPI and predicts the general progress of the disease but is not a measure or a decision aid for the necessity of treatment. Due to the heterogeneous behavior of CLL it is important to develop tools that will identify if and when patients will necessitate treatment for CLL. Recently, Machine Learning (ML) has spread to many public health fields including diagnosis and prognosis of diseases. ObjectiveExisting machine learning methods for CLL treatment prediction rely on expensive tests, such as genetic tests, rendering them useless in peripheral or low-resource clinics such as those in developing countries. We aim to develop a model for predicting whether a patient will need treatment for CLL within two years of diagnosis using a machine learning model based on only on demographic data and routine laboratory tests. MethodWe conducted a single center study that included adult patients (above the age of 18) that were diagnosed with CLL according to the IWCLL criteria and were under observation at the hematology unit of the Bnai-Zion medical center between 2009 and 2019. Patient data include demographic, clinical and laboratory measures that were extracted from patients’ medical records anonymously. All laboratory results, during the observation period, were extracted for the entire cohort. Multiple ML approaches for classifying whether a patient will require treatment during a predetermined period of 2 years were evaluated. Performance of the ML models was measured using repeated cross validation. We evaluated the use of SHapley Additive exPlanation (SHAP) for explaining what influences the models decision. Additionally, we employ a method for extracting a single decision tree from the ML model which enables the doctor to understand the main logic governing the model prediction. ResultsThe study included 109 patients of them 67 males (61%). Patients were under observation for a median of 44 months and the median age was 65 (age range: 45–87). 64% of the cohort received therapy during follow-up. A Gradient Boosting Model (GBM) model using all of the extracted variables to identify the need for treatment in the coming two years among patients with CLL achieved the AUPRC of 0.78 (±0.08). An identical GBM model, without genetic/FISH and flowcytometry (FACS) data, such that it can be used in peripheral clinics, scored an AUPRC of 0.7686 (±0.0837). A Generalized Linear Model (GLM) using the same features, scored an AUPRC of 0.7535 (±0.0995). All the models described above surpassed the performance of CLL-IPI that was evaluated using the CLL-TIM model. According to the SHAP results, red blood cell (RBC) count was the most predictive value for the necessity for treatment, where a high value is associated with a low probability of requiring treatment in the coming two years. Additionally, the SHAP method was used for estimating the personal risk of a random patient and showed sensible results. A simple Decision Tree classifier showed that patients who had a hemoglobin level of less than 13 gm/dL and a Neutrophil to Lymphocyte Ratio (NLR) less than 0.063, which constituted 34% percent of the patients included in our study, had a high probability (76%) of requiring treatment. ConclusionsMachine Learning algorithms that were evaluated in this work for predicting the necessity of treatment for patients with CLL achieved reasonable accuracy which surpassed that of CLL-IPI which was evaluated using the CLL-TIM model. Furthermore, we found that a machine learning model trained exclusively using inexpensive features only incurred a modest decrease in performance compared to the model trained using all of the features. Due to the small number of patients in this study it is necessary to validate the results on a larger population.

Posture Monitoring for Health Care of Bedridden Elderly Patients Using 3D Human Skeleton Analysis via Machine Learning Approach

For bedridden elderly people, pressure ulcer is the most common and serious complication and could be prevented by regular repositioning. However, due to a shortage of long-term care workers, repositioning might not be implemented as often as required. Posture monitoring by using modern health/medical caring technology can potentially solve this problem. We propose a RGB-D camera system to recognize the posture of the bedridden elderly patients based on the analysis of 3D human skeleton which consists of articulated joints. Since practically most bedridden patients were covered with a blanket, only four 3D joints were used in our system. After the recognition of the posture, a warning message will be sent to the caregiver for assistance if the patient stays in the same posture for more than a predetermined period (e.g., two hours). Experimental results indicate that our proposed method is capable of achieving a high accuracy in posture recognition (above 95%). To the best of our knowledge, this application of using human skeleton analysis for patient care is novel. The proposed scheme is promising for clinical applications and will undertake an intensive test in health care facilities in the near future after redesigning a proper RGB-D (Red-Green-Blue-Depth) camera system. In addition, a desktop computer can be used for multi-point monitoring to reduce cost, since real-time processing is not required in this application.

Use of the Belleville spring package in the vibration protection mechanism of the operator’s seat

Reducing the vibration effects on the operator of a construction, road and other machines is a relevant objective, since its accomplishing improves the efficiency and accuracy of the work performed by machines and reduces the risk of operators’ occupational diseases. Vibration protection systems with the effect of quasi-zero stiffness are promising. To produce this effect, Belleville springs packages can be used. They are a way to create a simple, reliable and inexpensive passive mechanism of the vibration protection system of the operator’s seat. The influence of the static characteristic center slope of two Belleville springs packages on the maximum acceleration of the load under the sinusoidal kinematic excitation of the seat base movements is investigated. The static characteristic center slope of the spring packages was characterized by the coefficient that affects the type of the static characteristic according to the known analytical expressions for the separate spring force. To obtain the chair acceleration values in a fixed coordinate system, we used a simulation mathematical model developed in the Simscape Multibody package for modeling mechanical systems of the MATLAB mathematical system. The model used blocks of a fixed coordinate system, a sliding joint and a rigid body forming a chain. The maximum acceleration of the chair in a fixed coordinate system was defined during a predetermined period of time at the end of the transition process under the steady state oscillations. When conducting the computational experiment, the specified oscillations amplitude of the chair base and the angular frequency of these oscillations varied. For a proper comparison of the experimental results in the form of graphical dependencies of the maximum acceleration on the amplitude and frequency, the ranges of acceptable and unacceptable arguments combinations were selected for the two spring packages. The combinations of amplitude and frequency were considered unacceptable when the maximum deformation of the spring package went beyond the static characteristic maximum. For the two packages of springs, the acceptable regions were different, therefore their intersection used for the comparative analysis, was obtained. The springs package with a relatively high stiffness in the center of the static characteristic is found out to generally provide better vibration protection of the chair in the entire acceptable range of arguments. Simultaneously, a package with lower stiffness in the center of the characteristic dampens vibrations better in the small amplitudes area, i.e. when operating in the quasi-zero stiffness area.

Resilience-Based Design of Infrastructure: Review of Models, Methodologies, and Computational Tools

The quest to answer the longstanding question of how safe is safe enough has led to an evolution of design philosophies. The traditional philosophy has been based on ensuring that system capacity exceeds demand. This philosophy has been manifested in such design methods as allowable stress design (ASD) and load and resistance factor design (LRFD). The level of safety in these methods is commonly calibrated to the acceptable practice using structural reliability methods. Such an approach to design aims to balance life safety and construction costs and works relatively well for service loads under which strength is nearly always a sufficient representative of system capacity. Under extreme loads, however, not only do factors such as ductility or energy-dissipation capacity come into play, but also the consequences of failure are vastly larger and may go beyond the failure site. For this reason, the more modern design philosophy of performance-based design emerged. According to this philosophy, a system is designed to meet a target performance, defined by limits on its performance metrics. These metrics were initially defined on structural responses, such as deformations and accelerations, and later evolved into risk measures based on monetary loss, downtime, and casualties. This philosophy is gradually making its way into modern design codes. Typical performance-based criteria focus primarily on what transpires during extreme loads. The need to incorporate the recovery of the system after such events has prompted the design philosophy to make another leap into resilience-based design (RBD). Resilience is defined herein as the ability to recover, within a predetermined period of time, in the aftermath of extreme events. Resilience transcends risk, i.e., a resilience analysis incorporates not only a risk analysis but also a recovery analysis. This paper provides a review of RBD in continuation of PBD and further introduces various applications of RBD into the design and assessment of civil infrastructure. The review covers the state of the art in resilience quantification approaches and associated computational platforms.

GIS Development to Become an Income Generating Unit at UNWAHA Jombang

Investment, literally is saving money with the aim of obtaining an expected return that is greater than deposit interest to meet the objectives to be achieved within a predetermined period of time and in accordance with the ability to capital, or it can also be interpreted as a sacrifice in the form of delaying current expenditures for get a better return in the future. (Putranto, 2016). The Islamic capital market is a capital market that is in accordance with Islamic sharia or in other words, the instruments used are based on sharia principles and the mechanisms used are also not Contrary to sharia principles. UNWAHA as one of the campuses in Jombang district which currently has an investment gallery that has been shaded by the OJK and cooperates with a securities company that provides a means of selling and buying sharia shares. UNWAHA Jombang is the 30th campus of universities in Indonesia that has open a sharia investment gallery to the public. The opening of this sharia investment gallery is carried out to fulfill the wishes of various parties, especially in terms of buying and selling sharia shares, as well as to fulfill a very important need as a means to carry out the practice of buying and selling shares which has become a lifestyle today.

Numerical Analysis of Shear Keys for Offshore Wind Turbine Monopile Grouted Connection with Elastomeric Bearings

Wind power is one of the best-known renewable energy sources, and it is mainly generated by wind turbines. With the recent development of large-scale offshore wind turbine technology and the improvements in capacity factor, the demand for offshore wind power is rapidly increasing for energy system applications worldwide. Such offshore wind turbine structures require structural capacity to withstand loads from offshore environments for a predetermined period of time. Generally, the load of the upper turbine system is transmitted through the grouted connection to the substructure. However, there are many cases of grout failure of the grouted connection between the tubular steels. This paper deals with the analysis of monopile grouted connections to which elastomeric bearings are applied. The grouted connection for the ultimate load of a 3.6 MW offshore wind turbine was analyzed using the three-dimensional finite element method. Furthermore, the changes in the contact pressure and shear stress were analyzed due to the installation of elastomeric bearings around the shear keys. As a result, when the elastomeric bearing was installed, the contact pressure for all grout contact areas increased about 2.5-fold. Specifically, the contact pressure with the shear key was 1.9-fold lower when natural rubber was used as the rubber plate material instead of chloroprene rubber. In addition, the maximum shear stress values of grout filler when installing the elastomeric bearings were 5.78 MPa for chloroprene rubber material and 4.90 MPa for natural rubber material, which were reduced by about 77–81% compared to the value of 25.95 MPa when only shear key was used.

Fairness algorithm for emergency demand response operation in distribution networks

As a response to increased power demand, electrical utilities have started to use Demand Response (DR) programs to improve the stability, efficiency and reliability of their networks. One type of DR, an Emergency Demand Response Program (EDRP), addresses stability challenges by sending curtailment orders to consumers associated with the program. There are different methods for calculating the amount of power that should be curtailed and how it should be divided among consumers. An important aspect of curtailment assignment is fairness, yet there is no agreed-upon manner of achieving fairness in curtailment allocation. This paper presents a new fairness-based EDRP for a residential area. The fairness is manifested in the algorithm by taking into account the number of times and the amount of energy a customer is asked to curtail for a predetermined period of time. The proposed algorithm is demonstrated and verified using simulations.

Business Simulation Training Using Monsoonsim

Business simulation training has been conducted by the School of Information Technology, Information Systems Department, Ciputra University, using MonsoonSIM. The aim of this activity is to introduce the concept of Enterprise Resource Planning (ERP) to students through virtual business simulation game. This training was conducted online, due to to Covid-19 pandemic. By using MonsoonSIM software, students can manage a virtual company and learn the company's business processes. Learnings in this training were in the form of material module explanations, simulations, discussions, and evaluations. This program was attended by students from Junior High School and Senior High School. Participants not only play individually to learn from the game experience, but also in a team to compete to be the best virtual company that can dominate the market within a predetermined period of time. By participating in this training, students can manage the operational processes of a virtual company, understand existing resources, and can make a company planning strategy in order to survive and grow.

Long information design

We analyze information design games between two designers with opposite preferences and a single agent. Before the agent makes a decision, designers repeatedly disclose public information about persistent state parameters. Disclosure continues until no designer wishes to reveal further information. We consider environments with general constraints on feasible information disclosure policies. Our main results characterize equilibrium payoffs and strategies of this long information design game and compare them with the equilibrium outcomes of games where designers move only at a single predetermined period. When information disclosure policies are unconstrained, we show that at equilibrium in the long game, information is revealed right away in a single period; otherwise, the number of periods in which information is disclosed might be unbounded. As an application, we study a competition in product demonstration and show that more information is revealed if each designer could disclose information at a predetermined period. The format that provides the buyer with most information is the sequential game where the last mover is the ex ante favorite seller.

Dieta alimentar e representações da doença cárie publicadas em um tradicional jornal brasileiro

ABSTRACT Objective: To apprehend the representations of dental caries present in a Brazilian print media, considering different historical periods, with emphasis on the dietary factor in the issue of etiology and disease prevention. Methods: This is a descriptive documentary research study carried out from the analysis of digitalized printed editions of Jornal do Brasil, published between 1891 and 1990, available for consultation on the electronic portal of the collection of periodicals entitled Brazilian Digital Library. For the search, the terminologies ‘cárie dentária’ and ‘cárie dental’ (both meaning dental caries) were used. The platform displays editions from pre-determined time periods. The displays were considered for all journalistic genres, composing or not the main or prominent theme. The data found were analyzed qualitatively. Results: In total, 675 occurrences were registered with the term ‘cárie dentária’ and 33 with the term ‘cárie dental’. The representations of dental caries had multiple and complex variations. The object reconstruction process generated the categories: prevention, public policy and etiology. The topic of food diet significantly crossed the entire time span studied and remained frequently linked to tooth decay, sometimes related to the etiology, sometimes to the prevention of the disease. Conclusion: Jornal do Brasil reflected old knowledge in the field of dentistry, added new scientific knowledge and popularized it for the readership of the written press.

Дослiдження динамiки iнструменту своп процентної ставки iз використанням методiв машинного навчання

For the European financial system, the interest rate swap is a well-known mechanism to reduce the potential effects of these risks, but it is new to the Ukrainian interbank market. In the second half of 2020, the National Bank of Ukraine and commercial banks held their first interest rate swap auctions. According to this provision, one party offers the other a floating interest rate while the other offers a fixed interest rate based on a conditional amount. Based on the Ukrainian overnight interbank rate index, the latter is computed (UONIA). Future cash flows are discounted at rates determined by the zero coupon yield curve created for hryvnia government bonds. The parties agree on how to calculate the difference in interest payments within the predetermined period of time. The analysis of the fair value of this financial instrument at future points in time is the main concern of mathematical modeling of interest rate swap transactions. Predicting future changes in fair value is particularly crucial when the zero coupon yield curve’s coefficients vary and when there are specific trends in the index of overnight interbank rates. The sensitivity of the specified factors to the interest rate swap’s dynamics was investigated in the study, and a forecast of the instrument’s future dynamics based on the change in important macroeconomic indicators was developed.

Interventions to reduce sugar‐sweetened beverage consumption using a nudge approach in Victorian community sports settings

ObjectiveTo assess the effectiveness of interventions using a nudge approach to reduce sugar‐sweetened beverage purchases in community sports settings. MethodsA total of 155 community sporting organisations participating in VicHealth funded programs were invited to nominate a nudge based on a traffic light approach to drinks classification. These included limit red drinks, red drinks off display, water the cheapest option, and meal deals. Sales data was collected for a predetermined period prior to and following the introduction of the nudge. Nudges were classified initially on whether they were implemented to VicHealth standards. Appropriately implemented nudges were classified as successful if they achieved a relative decrease in sales from drinks classified as red. ResultsIn all, 148 organisations trialled 195 nudges; 15 (7.7%) were successful and 20 (10.3%) were appropriately implemented but unsuccessful. Limit red drinks was the most frequently attempted nudge (30.8%). Red drinks off display had the greatest rate of success (20.0%). ConclusionsRed drinks off display was the simplest and most successful nudge. Implications for public healthGuidelines limiting the display of sugar‐sweetened beverages may be an effective means of altering consumer behaviour.