Execution Plan Research Articles

Revisiting block deordering in finite-domain state variable planning

Plan deordering removes unnecessary ordering constraints between actions in a plan, facilitating plan execution flexibility and several other tasks, such as plan reuse, modification, and decomposition. Block deordering is a variant of plan deordering that encapsulates coherent actions into blocks to eliminate further ordering constraints from a partial-order plan (POP) and is useful in many applications (e.g., generating macro-actions and improving the overall plan quality). The existing block deordering strategy is formulated in propositional encodings. Finite-domain state variable encodings (e.g., SAS+ representation), in contrast with propositional encodings, can capture the internal structure and the behavior of state variables of a planning instance through concise constructs such as causal graphs (CGs) and domain transition graphs (DTGs). This work redefines the semantics of block deordering terminologies and related plan deordering concepts in finite domain representation (FDR). Our proposed semantics also resolves some limitations of the existing block semantics and further enhance plan flexibility. In addition, this work exploits block deordering to eliminate redundant actions from a POP. A comparative analysis is also performed on block deordering with various deordering/reordering techniques using explanation-based order generalization (EOG) and MaxSAT. Our experiments on the benchmark problems from International Planning Competitions (IPC) show that our FDR formalism of block deordering significantly improves the plan execution flexibility while maintaining good coverage and execution time.

IMPLEMENTASI DIGITAL MARKETING PADA BUMDES MEKAR SEJAHTERA DENGAN CRITICAL SUCCESS FAKTOR DAN VALUE CHAIN

The implementation of Digital Marketing in Village-Owned Enterprises (BUMDes) Mekar Sejahtera aims to improve marketing performance and business competitiveness through the implementation of Critical Success Factors (CSF) and Value Chain. The study identifies and analyzes the key elements that influence the successful implementation of digital marketing strategies, as well as integrating them in a structured framework. In this study, data collection was carried out using two types of data: primary data and secondary data. Primary data was obtained through direct interviews and surveys with managers of Mekar Sejahtera BUMDes, while secondary data was obtained through analysis of relevant literature and similar case studies from other BUMDes that have implemented digital marketing. The research method used in this study is a qualitative method, which is a research approach used to understand social phenomena in a deep and descriptive way, focusing on the meaning contained in it. The results of the study show that there are several important factors that greatly affect the success of digital marketing in BUMDes Mekar Sejahtera, including: adequate technological infrastructure, competent human resources, effective content management, and appropriate promotion strategies. In addition, the integration of the value chain, starting from raw material procurement, production, distribution, to customer service, also plays an important role in improving the efficiency and effectiveness of digital marketing. The implementation of good digital marketing can increase the visibility of BUMDes Mekar Sejahtera products, expand market reach, and increase sales. However, the challenges faced include budget constraints, resistance to change, and the need for ongoing training for managers. Therefore, strategic recommendations include the development of adequate digital infrastructure, increasing the capacity of human resources through training and mentoring, and strengthening collaboration with external parties such as the government and the private sector. This study concludes that the application of CSF and Value Chain in the development of digital marketing in BUMDes Mekar Sejahtera can have a significant positive impact, as long as it is carried out with careful planning and consistent execution. This research is expected to be a reference for other BUMDes in adopting effective and sustainable digital marketing strategies. Keywords: Critical Succes Factor, Value Chain, Digital Marketing.

Breaking the CO2 Gridlock: Can Renewables Lead the Way for the OECD?

The use of low-carbon energy in power grids is essential for minimizing negative effects on the environment. Energy consumption causes environmental damage to the OECD’s economy. This study aims to investigate the effect of energy consumption, population, and GDP on CO2 emissions using panel data from 17 OECD countries over the period 2000–2023. We use regression approaches, such as partial least squares and principal components, to study the effects of GDP, urban and total population, oil and nuclear use, renewable energy, and industrialization on CO2 emissions. The regression process in this study reduces the data to a two-dimensional representation using a stochastic model and estimation techniques. The findings of this empirical investigation indicate that the United States, Canada, France, Germany, Italy, Korea, Mexico, and the United Kingdom exhibit higher levels of primary energy consumption in comparison to value-added sectors, renewable–geothermal energy, and nuclear energy. We determined the effects of CO2 emissions, GDP, and energy consumption by considering these as the most significant elements. This has made it possible to reduce CO2 emissions by focusing one’s attention and energy on the development of novel technologies, the use of renewable energy sources, and the execution of strategic plans. Attracting increasing attention are technological shifts that deliver enormous quantities of clean energy to combat climate change. Findings from this study can help environmentalists and policymakers better understand the role of structural change and energy consumption processes in the globalization process.

The current role of CT in total knee arthroplasty.

Advanced 3D imaging and CT-based navigation have emerged as valuable tools to use in total knee arthroplasty (TKA), for both preoperative planning and the intraoperative execution of different philosophies of alignment. Preoperative planning using CT-based 3D imaging enables more accurate prediction of the size of components, enhancing surgical workflow and optimizing the precision of the positioning of components. Surgeons can assess alignment, osteophytes, and arthritic changes better. These scans provide improved insights into the patellofemoral joint and facilitate tibial sizing and the evaluation of implant-bone contact area in cementless TKA. Preoperative CT imaging is also required for the development of patient-specific instrumentation cutting guides, aiming to reduce intraoperative blood loss and improve the surgical technique in complex cases. Intraoperative CT-based navigation and haptic guidance facilitates precise execution of the preoperative plan, aiming for optimal positioning of the components and accurate alignment, as determined by the surgeon's philosophy. It also helps reduce iatrogenic injury to the periarticular soft-tissue structures with subsequent reduction in the local and systemic inflammatory response, enhancing early outcomes. Despite the increased costs and radiation exposure associated with CT-based navigation, these many benefits have facilitated the adoption of imaged based robotic surgery into routine practice. Further research on ultra-low-dose CT scans and exploration of the possible translation of the use of 3D imaging into improved clinical outcomes are required to justify its broader implementation.

Machine learning approaches to predict the execution time of the meteorological simulation software COSMO

AbstractPredicting the execution time of weather forecast models is a complex task, since these models are usually performed on High Performance Computing systems that require large computing capabilities. Indeed, a reliable prediction can imply several benefits, by allowing for an improved planning of the model execution, a better allocation of available resources, and the identification of possible anomalies. However, to make such predictions is usually hard, since there is a scarcity of datasets that benchmark the existing meteorological simulation models. In this work, we focus on the runtime predictions of the execution of the COSMO (COnsortium for SMall-scale MOdeling) weather forecasting model used at the Hydro-Meteo-Climate Structure of the Regional Agency for the Environment and Energy Prevention Emilia-Romagna. We show how a plethora of Machine Learning approaches can obtain accurate runtime predictions of this complex model, by designing a new well-defined benchmark for this application task. Indeed, our contribution is twofold: 1) the creation of a large public dataset reporting the runtime of COSMO run under a variety of different configurations; 2) a comparative study of ML models, which greatly outperform the current state-of-practice used by the domain experts. This data collection represents an essential initial benchmark for this application field, and a useful resource for analyzing the model performance: better accuracy in runtime predictions could help facility owners to improve job scheduling and resource allocation of the entire system; while for a final user, a posteriori analysis could help to identify anomalous runs.

The Goal after Tomorrow: Offline Goal Reasoning with Norms

Recent studies have focused on autonomous agents that select their own goals and then select actions to achieve these goals, using online Goal Reasoning (GR). GR agents can revise goals and plans at execution time if unexpected outcomes occur. However, for ethical or legal agent design, even the partial execution of an online plan may result in foreseeable norm violations. To prevent these violations, it is crucial to incorporate GR already at the planning phase. To this end, we design an offline GR system that can harbour normative systems or deontic logics for goal generation. Our main results include a characterization and comparison of the completeness classes for a variety of offline GR planners, and a discussion of the irreducibility of offline GR to pure planning methods.

Navigating Mergers and Demergers in the Technology Sector: A Guide to Managing Change and Integration

In the dynamic landscape of the technology sector, mergers and demergers have become pivotal events that significantly impact organizational structures, strategic directions, and operational efficiencies. This guide delves into the intricacies of navigating these complex transitions, focusing on managing change and ensuring effective integration. The technology sector's rapid evolution necessitates a nuanced understanding of how mergers and demergers can be strategically orchestrated to achieve desired outcomes while mitigating potential risks.The process of merging or demerging involves numerous challenges, including cultural integration, alignment of business processes, and harmonization of technological systems. Successful management of these transitions requires a comprehensive strategy that encompasses clear communication, meticulous planning, and robust execution. This guide outlines key strategies for managing change during these transformative periods, emphasizing the importance of leadership, stakeholder engagement, and the adoption of best practices.

Navigating Mergers and Demergers in the Technology Sector: A Guide to Managing Change and Integration

In the dynamic landscape of the technology sector, mergers and demergers have become pivotal events that significantly impact organizational structures, strategic directions, and operational efficiencies. This guide delves into the intricacies of navigating these complex transitions, focusing on managing change and ensuring effective integration. The technology sector's rapid evolution necessitates a nuanced understanding of how mergers and demergers can be strategically orchestrated to achieve desired outcomes while mitigating potential risks. The process of merging or demerging involves numerous challenges, including cultural integration, alignment of business processes, and harmonization of technological systems. Successful management of these transitions requires a comprehensive strategy that encompasses clear communication, meticulous planning, and robust execution. This guide outlines key strategies for managing change during these transformative periods, emphasizing the importance of leadership, stakeholder engagement, and the adoption of best practices.

Study of the technical parameters dynamics influence on operational performance of hydraulic single-bucket excavators

Introduction. The development of automobile and road construction is a priority in the Russian economy. Timely putting construction projects in commission increases the requirements for planning of execution mechanized works. The operation of transport and technological machines in construction processes for a long time leads to a decrease in their potential capabilities, including operational productivity. The purpose of the proposed article is to improve the method of calculating the performance of a single-bucket hydraulic excavator (EO), taking into account the operating time.Methods and materials. The performance calculation method takes into account the dynamics of the working pressure in the hydraulic system of the working equipment (GRO), the speed of rotation of the crankshaft (PMVC) from the operating time, regression dependencies were used to describe them. The parameters of the law of distribution of the random value of the working pressure in the hydraulic drive and the rate of its fall for the ‘development and recruitment of soil’ operation were also obtained.Results. Processing of the results of production experiments enables to establish the dependence of changes in the working pressure in the hydraulic system during development and gathering soil, as well as for all technological operations of the working cycle, the rotational frequency of the crankshaft of a single-bucket excavator engine on the operating time. The influence of the working pressure in the hydraulic drive, the rotational speed of the crankshaft of the excavator engine on the supply and hydraulic power, the duration of technological operations is studied. The calculation of the operational productivity of a single-bucket excavator is carried out taking into account the dynamics of parameters reflecting its change over operating time.Discussion and conclusions. It has been established that with an increase in operating time, the operating pressure in the hydraulic drive decreases by an average of 12.7-13.0%, and the decrease in the average operating speed of the crankshaft is 4%. The estimated value of the drop in the average hourly operating performance of the EO, taking into account the deterioration of the technical condition, is 55% in the operating time range from 0 to 10,000 operating hours for the Japanese EO ZX 330 model.

Multi-scale closed-loop coupled real-time water quantity optimization scheduling of cascade pumping station in water supply canal systems

Closed-loop control is an effective control method to deal with uncertain disturbance in water supply canal system (WSCS). However, previous researches mainly focus on closed-loop control with a single time scale, and it is difficult to solve the uncertainty problem with a long time dimension. In this paper, a multi-scale closed-loop coupled real-time scheduling framework is established and solved by considering both large and small scale closed-loop scheduling models, so as to improve the performance of real-time scheduling in a longer time dimension under uncertain perturbations. The framework is applied to the virtual simulation test of the Xuhong River WSCS of the east route of the South-to-North Water Diversion project under different water distribution disturbances. The results show that the closed-loop control method can update the system status regularly through rolling optimization, and effectively reduce the prediction error of water level and energy consumption. In the two water distribution disturbance scenarios, the proposed method reduces the average relative deviation of water supply plan execution by 3.4 % and 5.9 %, and the unit energy consumption of cascade pumping station operation by 1.7 kWh/104m3 and 1.5 kWh/104m3, respectively, compared with the single-scale closed-loop scheduling method. In addition, the proposed method can effectively deal with the uncertainty of water distribution disturbance in limited computing time, and can meet the requirements of real-time scheduling in a long time dimension under uncertain disturbance.

'Extended' restricted kinematic alignment results in decreased residual medial gap tightness among osteoarthritic varus knees during robotic-assisted total knee arthroplasty.

The aims of this study were: 1) to describe extended restricted kinematic alignment (E-rKA), a novel alignment strategy during robotic-assisted total knee arthroplasty (RA-TKA); 2) to compare residual medial compartment tightness following virtual surgical planning during RA-TKA using mechanical alignment (MA) and E-rKA, in the same set of osteoarthritic varus knees; 3) to assess the requirement of soft-tissue releases during RA-TKA using E-rKA; and 4) to compare the accuracy of surgical plan execution between knees managed with adjustments in component positioning alone, and those which require additional soft-tissue releases. Patients who underwent RA-TKA between January and December 2022 for primary varus osteoarthritis were included. Safe boundaries for E-rKA were defined. Residual medial compartment tightness was compared following virtual surgical planning using E-rKA and MA, in the same set of knees. Soft-tissue releases were documented. Errors in postoperative alignment in relation to planned alignment were compared between patients who did (group A) and did not (group B) require soft-tissue releases. The use of E-rKA helped restore all knees within the predefined boundaries, with appropriate soft-tissue balancing. E-rKA compared with MA resulted in reduced residual medial tightness following surgical planning, in full extension (2.71 mm (SD 1.66) vs 5.16 mm (SD 3.10), respectively; p < 0.001), and 90° of flexion (2.52 mm (SD 1.63) vs 6.27 mm (SD 3.11), respectively; p < 0.001). Among the study population, 156 patients (78%) were managed with minor adjustments in component positioning alone, while 44 (22%) required additional soft-tissue releases. The mean errors in postoperative alignment were 0.53 mm and 0.26 mm among patients in group A and group B, respectively (p = 0.328). E-rKA is an effective and reproducible alignment strategy during RA-TKA, permitting a large proportion of patients to be managed without soft-tissue releases. The execution of minor alterations in component positioning within predefined multiplanar boundaries is a better starting point for gap management than soft-tissue releases.

Entrepreneurial Process: A Case Study of Mithila Thali Restaurant by Chef Santosh Shah

This case study explores the entrepreneurial process behind the establishment and growth of Mithila Thali Restaurant, a culinary venture founded by renowned Chef Santosh Shah. Located in the heart of Nepal, Mithila Thali Restaurant has gained significant recognition for its authentic Mithila cuisine, a traditional food heritage from the Mithila region. The study examines the critical stages of the entrepreneurial journey, including opportunity recognition, business planning, resource mobilization, and strategic execution. Through in-depth interviews with Chef Santosh Shah and key stakeholders, along with a comprehensive analysis of business records and market data, the research highlights the challenges and successes encountered during the restaurant's development. Key findings reveal how Chef Shah leveraged his culinary expertise, cultural heritage, and innovative marketing strategies to create a unique dining experience that appeals to both local and international customers. This case study contributes to the broader understanding of entrepreneurial dynamics in the hospitality industry and provides practical insights for aspiring entrepreneurs aiming to navigate the complexities of starting and sustaining a successful restaurant business.

The Impact of Soviet Union's Five-Year Plans on Türkiye's First Five-Year Industrial Plan within the Context of Turkish-Russian Economic Relations

The Bolshevik Revolution marked a pivotal shift in Turkish-Russian relations, ending longstanding conflicts and fostering political and economic cooperation. Notably, economic ties flourished, benefitting Türkiye significantly. Emulating the Soviet Union's Five-Year Plan, Russian experts devised an industrialisation plan for Türkiye, focusing on agriculture and underground resources. The plan's execution, aided by Soviet loans, machinery, and expert labour, saw the establishment of Soviet-style facilities in Anatolia from the 1930s onwards. The transfer of Soviet expertise and technology played a crucial role in Türkiye's industrialisation, showcasing the substantial impact of the Soviet five-year plans on Turkish industry post-1928.

ARM4CH: A Methodology for Autonomous Reality Modelling for Cultural Heritage.

Nowadays, the use of advanced sensors, such as terrestrial, mobile 3D scanners and photogrammetric imaging, has become the prevalent practice for 3D Reality Modeling (RM) and the digitization of large-scale monuments of Cultural Heritage (CH). In practice, this process is heavily related to the expertise of the surveying team handling the laborious planning and time-consuming execution of the 3D scanning process tailored to each site's specific requirements and constraints. To minimize human intervention, this paper proposes a novel methodology for autonomous 3D Reality Modeling of CH monuments by employing autonomous robotic agents equipped with the appropriate sensors. These autonomous robotic agents are able to carry out the 3D RM process in a systematic, repeatable, and accurate approach. The outcomes of this automated process may also find applications in digital twin platforms, facilitating secure monitoring and the management of cultural heritage sites and spaces, in both indoor and outdoor environments. The main purpose of this paper is the initial release of an Industry 4.0-based methodology for reality modeling and the survey of cultural spaces in the scientific community, which will be evaluated in real-life scenarios in future research.

Developing Standard BIM Execution Plans for Complex Construction Projects

This study addresses the critical need for standardizing building information modeling (BIM) execution plans (BEPs) in the architecture, engineering, construction, and operations (AECO) sector. Through the analysis of 36 BEP documents from international organizations, we have identified crucial components and put forth a comprehensive framework with the objective of improving digital transformation and collaboration in intricate construction projects. This study utilizes scientometric analysis to chart the development of BEP standards and incorporates empirical data from industry surveys to verify the suggested framework. The results of our research emphasize the advantages of using standardized building execution plans (BEPs) to decrease inefficiencies and enhance project outcomes. This makes a substantial contribution to the field of building information modeling (BIM) implementation.

Safety of performing multiple free flap surgeries by a single surgeon in a single day

With the growing popularity of the use of free flaps, surgeons may frequently encounter situations necessitating the performance of multiple free flap surgeries in a single day. Given its prolonged duration and technical complexity, concerns remain regarding their safety. This study investigated whether a single surgeon conducting multiple free flap surgeries in a day heightens the risk of complications. Patients who underwent free flap-based reconstruction from March 2002 to May 2023 were reviewed and categorized into 3 groups: one flap per day (Group 1), multiple flaps per day on the same patient (Group 2), and multiple flaps per day on different patients (Group 3). Outcomes, particularly perfusion-related complications (PRCs), were compared. In total, 1910 cases were analyzed: 1570 in Group 1, 126 in Group 2, and 214 in Group 3. Over time, the proportion of cases in Group 3 increased. Group 3 had fewer breast reconstruction cases but more lower extremity reconstructions, with a higher prevalence of chronic wounds. Although the rates of PRCs varied among groups, multivariable analysis exhibited no association of performing multiple flaps in a day with their occurrence, regardless of breast or nonbreast reconstruction. The rate of arterial insufficiency was significantly higher in group 3 compared with group 1 after adjusting for other variables. Performing multiple free flaps in a single day may not significantly increase the risks of overall PRCs. However, there appears to be a higher incidence of arterial insufficiency, emphasizing the need for careful planning and precise execution of procedures.

Implementing a nutrition education intervention in Eastern Norwegian Kindergartens: barriers and facilitators

BackgroundImplementations to improve healthy eating in kindergartens may play a pivotal role in shaping children’s dietary behaviors. There is limited research on the implementation and key implementation determinants (barriers and facilitators) of interventions in kindergarten settings. The aim of this study was to explore kindergarten staff members’ experiences with the implementation of a nutrition education intervention to identify implementation barriers and facilitators.MethodsWe interviewed 12 employees from five different kindergartens in an Eastern Norwegian municipality between 2019 until 2020. The individual interviews were guided by the consolidated framework for implementation research. The interviews were recorded, transcribed verbatim, and analyzed inductively, inspired by Braun and Clarke’s reflexive thematic analysis.ResultsImplementation facilitators were satisfactory planning and presentation execution, including tailoring to kindergarten and staff needs, food and meals being a kindergarten/staff priority, and confidence-building of staff. Barriers included unsatisfactory planning and presentation execution, the presentation as a one-time event, non-tailoring to kindergarten and staff needs, and kindergartens/staff not prioritizing food and meals.ConclusionsWhen developing and implementing similar kindergarten interventions, the following should be considered: a participatory approach, active engagement of staff, the physical learning environment, and the frequency of opportunities to revisit topics.

Optimizing Database Performance in Complex Event Processing through Indexing Strategies

Complex event processing (CEP) systems have gained significant importance in various domains, such as finance, logistics, and security, where the real-time analysis of event streams is crucial. However, as the volume and complexity of event data continue to grow, optimizing the performance of CEP systems becomes a critical challenge. This paper investigates the impact of indexing strategies on the performance of databases handling complex event processing. We propose a novel indexing technique, called Hierarchical Temporal Indexing (HTI), specifically designed for the efficient processing of complex event queries. HTI leverages the temporal nature of event data and employs a multi-level indexing approach to optimize query execution. By combining temporal indexing with spatial- and attribute-based indexing, HTI aims to accelerate the retrieval and processing of relevant events, thereby improving overall query performance. In this study, we evaluate the effectiveness of HTI by implementing complex event queries on various CEP systems with different indexing strategies. We conduct a comprehensive performance analysis, measuring the query execution times and resource utilization (CPU, memory, etc.), and analyzing the execution plans and query optimization techniques employed by each system. Our experimental results demonstrate that the proposed HTI indexing strategy outperforms traditional indexing approaches, particularly for complex event queries involving temporal constraints and multi-dimensional event attributes. We provide insights into the strengths and weaknesses of each indexing strategy, identifying the factors that influence performance, such as data volume, query complexity, and event characteristics. Furthermore, we discuss the implications of our findings for the design and optimization of CEP systems, offering recommendations for indexing strategy selection based on the specific requirements and workload characteristics. Finally, we outline the potential limitations of our study and suggest future research directions in this domain.

Understanding the differences in the use of graphic tool and planning during graphic execution between individuals with autism and typically developing individuals

Individuals with autism (ASD) often face difficulty in executing graphic tasks. This can be related to how one uses a graphic tool (e.g., pen) and plans ahead the graphic execution. Use of graphic tool can be captured using attributes, e.g., pen-tip pressure, number of pen lifts, etc. One’s ability to plan a graphic execution can be quantified using the total duration of pen lifts (i.e., air time). Though pen-and-paper-based Trail Making Test-Part A (TMT-A) can estimate planning of graphic execution, yet it cannot capture other attributes, e.g., pen-tip pressure, pen lift, etc. This can be possible if TMT-A is administered on a pressure-sensitive tablet as seen from existing studies with typically developing (TD) individuals. However, quantification of such attributes using TMT-A administered on a pressure-sensitive tablet remains unexplored for individuals with ASD. In addition, such objective measures can help to understand variations in the use of graphic tool and ability to plan graphic execution even outside the TMT-A task, e.g., while drawing shapes which is important to the development of children’s graphic skills. Here, we conducted a study with 12 pairs of TD children and those with ASD who executed TMT-A (in Phase-I) and shape drawing (in Phase-II) on a pressure-sensitive tablet. Results of our study show differences in the use of graphic tool and planning ahead the graphic execution between two participant groups in both the Phases. Such insights can offer clinical inputs that can be helpful in designing individualized intervention paradigms for children facing difficulties in graphic execution.

Simultaneous correction of leg length discrepancy and angular deformity of the distal femur with retrograde Precice nails: a retrospective analysis of 45 patients.

Magnetically controlled motorized intramedullary lengthening nails (ILNs) can be employed for simultaneous correction of angular deformities of the distal femur and leg length discrepancy. This spares typical complications of external fixators but requires precise preoperative planning and exact intraoperative execution. To date, its results are insufficiently reported. We aimed to elucidate the following questions: (i) Is acute angular deformity correction and gradual femoral lengthening via a retrograde ILN a reliable and precise treatment option? (ii) What are the most common complications of treatment? Acute angular deformity correction and subsequent gradual lengthening of the distal femur with retrograde ILN was retrospectively analyzed in 45 patients (median patient age: 15 years, interquartile range [IQR] 13-19 and median follow-up: 40 months, IQR 31-50). Outcome parameters were accuracy, precision, reliability, bone healing, and complications of treatment. The median distraction was 46 mm (IQR 29-49), median distraction and consolidation index 0.9 mm/day (IQR 0.7-1.0) and 29 days/cm (IQR 24-43), respectively. The median preoperative mechanical axis deviation (MAD) was 30 mm (IQR 23-39) in the varus cohort and -25 mm (IQR -29 to -15) in the valgus cohort and reduced to a mean of 8 mm (standard deviation [SD] 8) and -3 (SD 10), respectively. Accuracy, precision, and reliability of lengthening were 94%, 95% and 96%, respectively. Accuracy and precision of deformity correction were 92% and 89%, respectively. In total, 40/45 of patients achieved distraction with a difference of less than 1 cm from the initial plan and a postoperative MAD ranging from -10 mm to +15 mm. In 13/45 patients unplanned additional surgeries were conducted to achieve treatment goal with nonunion being the most frequent (4/45) and knee subluxation (3/45) the most severe complication. Acute deformity correction and subsequent lengthening of the distal femur with retrograde ILN is a reliable and accurate treatment achieving treatment goal in 89% but unplanned additional surgeries in 29% of patients should be anticipated.