Benchmarking Tool Research Articles

Towards a benchmark framework for model order reduction in the Mathematical Research Data Initiative (MaRDI)

AbstractThe race for the most efficient, accurate, and universal algorithm in scientific computing drives innovation. At the same time, this healthy competition is only beneficial if the research output is actually comparable to prior results. Fairly comparing algorithms can be a complex endeavor, as the implementation, configuration, compute environment, and test problems need to be well‐defined. Due to the increase in computer‐based experiments, new infrastructure for facilitating the exchange and comparison of new algorithms is also needed. To this end, we propose a benchmark framework as a set of generic specifications for comparing implementations of algorithms using test cases native to a community. Its value lies in its ability to fairly compare and validate existing methods for new applications, as well as compare newly developed methods with existing ones. As a prototype for a more general framework, we have begun building a benchmark tool for the model order reduction (MOR) community. The data basis of the tool is the collection of the Model Order Reduction Wiki (MORWiki). The wiki features three main categories: benchmarks, methods, and software. An editorial board curates submissions and patrols edited entries. Data sets for linear and parametric‐linear models are already well represented in the existing collection. Data sets for non‐linear or procedural models, for which only evaluation data, or codes/algorithmic descriptions, rather than equations, are available, are being added and extended. Properties and interesting characteristics used for benchmark selection and later assessments are recorded in the model metadata. Our tool, the Model Order Reduction Benchmarker (MORB), is under active development for linear time‐invariant systems and solvers. An ontology (MORBO) and knowledge graph are being developed in parallel. They catalog benchmark problem sets and their metadata and will also be integrated into the Mathematical Research Data Initiative (MaRDI) Portal to help improve the findability of such data sets. MORB faces a number of technical and field‐specific challenges, and we hope to recruit community input and feedback while presenting some initial results.

Infrared Spectroscopy of Liquid Solutions as a Benchmarking Tool of Semiempirical QM Methods: The Case of GFN2-xTB.

The accurate description of large molecular systems has triggered the development of new computational methods. Due to the computational cost of modeling large systems, the methods usually require a trade-off between accuracy and speed. Therefore, benchmarking to test the accuracy and precision of the method is an important step in their development. The typical gold standard for evaluating these methods is isolated molecules, because of the low computational cost. However, the advent of high-performance computing has made it possible to benchmark computational methods using observables from more complex systems such as liquid solutions. To this end, infrared spectroscopy provides a suitable set of observables (i.e., vibrational transitions) for liquid systems. Here, IR spectroscopy observables are used to benchmark the predictions of the newly developed GFN2-xTB semiempirical method. Three different IR probes (i.e., N-methylacetamide, benzonitrile, and semiheavy water) in solution are selected for this purpose. The work presented here shows that GFN2-xTB predicts central frequencies with errors of less than 10% in all probes. In addition, the method captures detailed properties of the molecular environment such as weak interactions. Finally, the GFN2-xTB correctly assesses the vibrational solvatochromism for N-methylacetamide and semiheavy water but does not have the accuracy needed to properly describe benzonitrile. Overall, the results indicate not only that GFN2-xTB can be used to predict the central frequencies and their dependence on the molecular environment with reasonable accuracy but also that IR spectroscopy data of liquid solutions provide a suitable set of observables for the benchmarking of computational methods.

Destination website benchmarking: A comparative analysis of MICE destinations of Japan and five emerging destinations in East Asia

In this study, using a modified Balanced Scorecard (BSC), we examined the effectiveness of Japan’s MICE (meetings, incentives, conventions, and exhibitions) websites against those of other major East Asian destinations. We compared the websites of Japan’s tourism boards and convention centers with 40 competing MICE websites (23 tourism boards and 17 convention centers). The results of this study demonstrated that modified BSC methods are a valid benchmarking tool for destination websites in a niche market such as the Asia-Pacific region. Japan fared the second out of the destinations evaluated on the BSC score. Specifically, Nagoya CVB and Pacifico Yokohama were ranked second for tourism boards and convention centers, respectively. Additionally, qualitative analysis reveals that the clarity of information on Japan’s websites is one of their major advantages over their counterparts in other Asian countries. A discussion of the findings is presented along with recommendations for further improvements.

Technological Tools for the Conservation and Dissemination of Valencian Design Archives

Design has shaped the world in which we live; it has improved our lives in ways we cannot even begin to imagine. Even if design is everywhere and is the memory of the world, collections associated with it are not usually well-known as design archives which capture spatial and temporal narratives. Saving these types of archives and making them accessible to the public, using them as cultural hubs, might improve our lives thanks to visual literacy, creativity, and innovation. The Arxiu Valencià del Disseny aims to recover, preserve, protect, and disseminate the archival cultural heritage of the Valencian designers. With a collection of more than 150,000 objects, it recovers history and evolution from the applied arts and product design, but with a markedly future-oriented character through the enhancement of the collections and their dissemination thanks to an intelligent computational system featuring cutting-edge technologies in order to prove our understanding of Valencian and European design. The aim of this paper is twofold: first, we introduce the AVD project, an interdisciplinary project that has been recently funded by the Valencian Government in order to preserve and promote the heritage of design archives; second, we introduce a set of interactive tools related to the project, such as the digitisation and cataloguing of the collection, the generation of a Design Memory Archive, advanced searching, and semantically relating the digitised collection of the Arxiu Valencià del Disseny based on data interoperability across its collections and a benchmarking tool for designers.

The I-CAH Registry: A platform for international collaboration for improving knowledge and clinical care in congenital adrenal hyperplasia.

To provide an overview of the I-CAH Registry. Following the successful roll-out of the I-DSD Registry in the 2000s, it was felt that there was a need for a registry for congenital adrenal hyperplasia(CAH) and this was launched in 2014 as a dedicated module within the original registry. In addition to supporting and promoting research, the I-CAH Registry acts as an international tool for benchmarking of clinical care and it does this through the collection of standardised data for specific projects. Surveillance of novel therapies in the field of CAH can also be achieved via global collaborations. Its robust governance ensures adherence to the international standards for rare disease registries.Rare disease registries such as the I-CAH Registry are important tools for all stakeholders involved in the care of people with CAH.

A new Malmquist productivity index with an application to commercial banks

Abstract Accepted by: Aris Syntetos Management-led productivity improvements are crucial for achieving sustainable development, and the Malmquist productivity index is known to be useful in relevant contexts. This study aims to extend such index by using non-parametric mathematical modelling of production processes. Specifically, and in the spirit of the existing index, we introduce the directional distance function to develop a new one applicable to the joint production of desirable and undesirable outputs. Furthermore, we decompose the new index into two constituent components to provide more intuitive explanations when revealing the root sources of productivity changes over time. Under the cost minimization assumption, the new index is applicable when producers implement resource allocation management, and the input–output quantities and the micro-level input prices are known. The index emphasizes that the allocative efficiency should be regarded as an important aspect of productivity assessment like the technical efficiency. As a practical benchmarking tool, it can offer valuable information and provide appropriate strategies for managerial decision-making. The index’s application and usefulness is demonstrated in the commercial bank sector in China.

Ten-year review of trends in children with type 1 diabetes in England and Wales.

This review describes the prevalence, incidence, and demographics of children and young people (CYP) with type 1 diabetes in England and Wales using data from the United Kingdom National Paediatric Diabetes Audit (NPDA) and has almost 100% submission from all paediatric diabetes centres annually. It is a powerful benchmarking tool and is an essential part of a long-term quality improvement programme for CYP with diabetes. Clinical characteristics of this population by age, insulin regimen, complication rates, health inequalities, access to diabetes technology, socioeconomic deprivation and glycaemic outcomes over the past decade is described in the review. The NPDA for England and Wales is commissioned by the United Kingdom Healthcare Quality Improvement Partnership as part of the National Clinical Audit for the United Kingdom National Service Framework for Diabetes. The rising incidence of Type 1 diabetes is evidenced in the past decade. Reduction in national median glycated hemoglobin for CYP with diabetes is observed over the last 10 years and the improvement sustained by various initiatives and quality improvement pro-grammes implemented with universal health coverage.

Operations of cost-effective charities: a qualitative study

PurposePeople donate to charities with the aim of improving society. Yet, many charities fail to use donations efficiently or have ineffective interventions. The authors explore the strategic operational priorities and processes that enable charities to efficiently implement their interventions and have a positive impact on society.Design/methodology/approachThe authors first review the literature on charities to gain a deeper understanding of the current state of knowledge on charity operations. The authors then employ the lens of paradox theory and perform a qualitative investigation of six case studies to explore various aspects of the operations of charities that are known for being cost-effective.FindingsThe authors reveal how the strategic operational decisions of charities, as well as the processes they implement, help them resolve the tensions arising from the cost-effectiveness paradox. The authors show that cost-effective charities make strategic operational decisions that help maintain two diverging priorities: prioritizing the status quo and prioritizing change in how they deliver value. Another set of strategic decisions helps balance these two diverging priorities. The authors then show how these charities create and then maintain cost-effective operations.Originality/valueThe authors address recent calls for research on non-profit organizations in the field of operations management. To authors’ knowledge, it is the first in-depth study of exemplary charity operations. The results can be used by charity executives as a benchmarking tool when they develop and implement their charitable interventions and by government agencies and potential donors when they select charities for their donations. Finally, the results should have implications for other organizations trying to have a positive societal impact.

Predicting urban rail transit safety via artificial neural networks

This paper studies the operational safety of urban rail transit (URT) systems through Artificial Neural Networks. While recent safety literature adopting systematic models of analysis consider the complexity of URT operations, they focus on single systems or single components of the operational process. Our study contributes to the URT safety literature by having a macro perspective, while considering that such complex socio-technical systems involve multiple non-linear interactions among their components. To our knowledge, we present the first cross-country analysis of URT safety through machine learning models in the literature, using a unique international dataset from 31 URT systems which comprises annual system-level data. Two models are estimated to predict the annual URT injuries. The first model includes safety-related incidents as inputs, while the second includes operational characteristics of the system. Additionally, a closed-form formula is presented to predict the annual number of injuries based on operational features of the URT system along with an illustrative example to demonstrate benchmarking applications. The results are promising and indicate good generalizability. The models proposed in this study could be useful for operators and policy makers as they aid in prioritizing improvements, predicting future safety performance based on changes in operational features, and as a benchmarking tool.

Operational cycles for maritime transportation: A benchmarking tool for ship energy efficiency

Operational cycles for maritime transportation: A benchmarking tool for ship energy efficiency

Development of a benchmarking tool to assess the welfare of dairy cattle on small-scale farms

Public concern about the welfare of farm animals and the livestock industry's awareness of the need to improve animal welfare have led to the implementation of new tools designed to meet this objective. Especially in the case of small-scale farms in marginalized areas, the lack of available data specifically for assessing welfare led to the present study. Its aim was to use animal- and resource-based indicators that are representative of small-scale farms, to establish an index and develop a benchmarking tool that can be used to dynamically evaluate the welfare of cattle on farms with different husbandry systems and provide farmers, veterinarians, extension officers, and stakeholders with reliable information that can be used as a decision support tool. For this reason, 1,891 cows from 204 herds housed in freestall (n = 111) and tiestall (n = 93) husbandry systems in South Tyrol (Northern Italy) were evaluated. The results showed that 17.6% of herds (36 farms) had an average score below 60 (out of 100), which means that immediate intervention should be adopted to improve welfare. South Tyrolean dairy farms performed well in terms of lameness, skin alterations, avoidance behavior, number and space of lying areas, and dystocia occurrence scores, whereas water supply, cow cleanliness status, claw conformation, and getting-up behavior offered significant potential for improvement. Significant differences were observed between housing systems scoring less than 60 out of 100 points in 9.9% (n = 11) and 26.9%, (n = 25), of the herds kept in freestalls and tiestalls, respectively. A slight difference was found when comparing the percentage of herds with high scores, which corresponded to 30.6% (n = 34) of herds housed in freestalls and 22.6% (n = 21) of herds housed in tiestall housing systems. In addition, it was shown that animals reared on farms with tiestalls more often had problems with body condition, cleanliness, and skin alterations. All individual welfare indicators in the top 25% of herds had scores above 80, indicating that this may be an attainable target for freestall and tiestall herds, respectively, to promote good dairy cow welfare. The overall aim must be to adopt measures to increase the scores on all farms closer to this level.

Enhancing Healthcare Management during COVID-19: A Patient-Centric Architectural Framework Enabled by Hyperledger Fabric Blockchain

The highly transmissible COVID-19 virus has wreaked havoc on the global economy, health, and lives. The abrupt burst and exponential spread of this pandemic has shown the inadequacies of existing healthcare institutions in handling a public health emergency. As governments around the world strive to re-establish their economies, open workplaces, ensure safe journeys, and return to regular life, they require solutions to reduce losses. The proposed framework provides virtual assistance from various medical practitioners and physicians. Furthermore, it promotes the accuracy of information gathered from COVID-19 patients, which can aid in the launch of a variety of government decisions and public guidelines aimed at combating health exigencies. The authors present a revolutionary blockchain-based solution that builds trust between the medical professionals and patients while preventing accidental coronavisrus transmission. This solution also keeps track of COVID-19 patients and improves EHR management, which can be a viable solution for common EHR challenges such as lowering the risk of patient data loss, maintaining privacy and security, and obtaining immutable consensus on the maintenance of health records, gaps in hospital communication, and inefficient clinical data retrieval methods. This research work describes a COVID-19 patient-centric blockchain-based EHR employing JavaScript-based smart contracts for a decentralized healthcare management system. The proposed Hyperledger fabric and a Composer-based working prototype ensure the model’s security and the authenticity of the health records. The authors used the Hyperledger Caliper benchmarking tool, which measures latency, throughput, resource utilization, etc., under different conditions and control parameters. The findings highlight the importance of the proposed blockchain-enabled architecture in revolutionizing healthcare administration during and after the COVID-19 pandemic, promoting enhanced clinical outcomes and supporting patient-centered care.

ANN-based estimation model for the preconstruction cost of pavement rehabilitation projects

To combat prevalent roadway aging, the California Department of Transportation (Caltrans) implements routine rehabilitation projects, which require cost estimation models for better management. Several models have been developed to estimate the construction costs of new highway projects; however, few have targeted the cost of pavement rehabilitation, and, of these, most have focused primarily on the construction phase. This study presents an artificial neural network (ANN) estimation model that predicts the cost of the preconstruction phases (predesign, design, and bidding) of pavement rehabilitation projects. The model was developed using 139 projects maintained by Caltrans over the past five years. Pareto principle and sensitivity analysis were used to identify five project items that contributed significantly to the model’s high estimation performance, which was demonstrated by a coefficient of multiple determination value (R 2) of 76.9%. Thus, the proposed model will allow Caltrans to properly estimate its budget and manage its performance during the preconstruction phases of pavement rehabilitation projects. Moreover, it overcomes many limitations of conventional preconstruction cost estimation models and will allow Caltrans to better manage up to $80B that may be spent on its preconstruction activities. Finally, the model provides a benchmarking tool for tracking and controlling expenses.

Intelligence at the Extreme Edge: A Survey on Reformable TinyML

Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal Microcontroller Units (MCUs). Considering the general assumption that TinyML can only run inference, growing interest in the domain has led to work that makes them reformable, i.e., solutions that permit models to improve once deployed. This work presents a survey on reformable TinyML solutions with the proposal of a novel taxonomy. Here, the suitability of each hierarchical layer for reformability is discussed. Furthermore, we explore the workflow of TinyML and analyze the identified deployment schemes, available tools, and the scarcely available benchmarking tools. Finally, we discuss how reformable TinyML can impact a few selected industrial areas and discuss the challenges, and future directions, and its fusion with next-generation AI.

Insights Into Patients Questions Over Bunion Treatments: A Google Study.

Approximately 1 in 4 adults will develop hallux valgus (HV). Up to 80% of adult Internet users reference online sources for health-related information. Overall, with the high prevalence of HV combined with the numerous treatment options, we believe patients are likely turning to Internet search engines for questions relevant to HV. Using Google's people also ask (PAA) or frequently asked questions (FAQs) feature, we sought to classify these questions, categorize the sources, as well as assess their levels of quality and transparency. On October 9, 2022, we searched Google using these 4 phrases: "hallux valgus treatment," "hallux valgus surgery," "bunion treatment," and "bunion surgery." The FAQs were classified in accordance with the Rothwell Classification schema and each source was categorized. Lastly, transparency and quality of the sources' information were evaluated with the Journal of the American Medical Association's (JAMA) Benchmark tool and Brief DISCERN, respectively. Once duplicates and FAQs unrelated to HV were removed, our search returned 299 unique FAQs. The most common question in our sample was related to the evaluation of treatment options (79/299, 26.4%). The most common source type was medical practices (158/299, 52.8%). Nearly two-thirds of the answer sources (184/299; 61.5%) were lacking in transparency. One-way analysis of variance revealed a significant difference in mean Brief DISCERN scores among the 5 source types, F(4) = 54.49 (P < .001), with medical practices averaging the worst score (12.1/30). Patients seeking online information concerning treatment options for HV search for questions pertaining to the evaluation of treatment options. The source type encountered most by patients is medical practices; these were found to have both poor transparency and poor quality. Publishing basic information such as the date of publication, authors or reviewers, and references would greatly improve the transparency and quality of online information regarding HV treatment. Level V, mechanism-based reasoning.

Comparing Cesarean Birth Utilization Between US Hospitals: A Demonstration of the Robson Ten-Group Classification System for Use in Quality Improvement and Benchmarking.

The World Health Organization-endorsed Robson Ten-Group Classification System (TGCS) is a standard reporting mechanism for cesarean birth, yet this approach is not widely adopted in the United States. To describe the application and utility of the TGCS to compare hospital-level cesarean births rates, for use in quality improvement and benchmarking. We conducted a descriptive, secondary data analysis of the Consortium on Safe Labor dataset using data from 228 438 women's births, from 2002 to 2008, in 12 sites across the United States. We stratified births into 10 mutually exclusive groups and calculated within-group proportions of group size and cesarean birth rates for between-hospital comparisons of cesarean birth, trial of labor after cesarean (TOLAC), and labor induction utilization. There is variation in use of cesarean birth, labor induction, and TOLAC across the 12 sites. The TGCS provides a method for between-hospital comparisons, particularly for revealing usage patterns of labor induction, TOLAC, and cesarean birth. Adoption of the TGCS in the United States would provide organizations and quality improvement leaders with an effective benchmarking tool to assist in reducing the use of cesarean birth and increasing the support of TOLAC.

Development of a Qualitative Tool for Sustainability Assessment and Application of the Tool to Benchmark Electronic Smart Labels

This paper presents a sustainability benchmarking tool, the GreenTool, to compare different electronic product concepts, specifically printed ones, with each other from the sustainability perspective. The purpose is to increase awareness of different aspects of sustainability and support the design of more sustainable electronics. This tool is built on European and global sustainability regulations and recommendations, and it considers environmental, economic, and social sustainability aspects in seven different criteria, each with several sub-criteria that are the actual categories used in the comparison. The tool uses scientific and industrial information as input, as well as a technical understanding of the new and baseline concepts to be compared to properly support sustainability benchmarking. In this paper, we further present an example comparison of four smart label product concepts, one of which is the commercial baseline concept, and the other three are developmental concepts. The biggest differences among the product concepts were found in the categories of ‘raw materials’, ‘manufacturing’, and ‘logistics’ criteria, where the developmental concepts based on manufacturing by printing and bio-based materials gave environmental benefits over the baseline. In the other criteria, the differences were smaller, but the developmental concepts also provided slight improvements in sustainability. The GreenTool can be considered suitable for qualitative sustainability comparisons in product concept design.

P36 Using the Australian National Antimicrobial Prescribing Survey portal (NAPS) to benchmark antibiotic prescribing within an Integrated Care Board (ICB): a pilot point prevalence survey (PPS) of two NHS Trusts

Abstract Background PPS is useful in evaluating volume and appropriateness of antimicrobial prescribing to guide specific antimicrobial stewardship (AMS) interventions. Integrated care systems enable collaboration within an ICB and benchmarking of antimicrobial prescribing in constituent trusts to identify disparities and learn from sharing best practice. NAPS is a web-based qualitative auditing platform which is used to conduct an annual Australia-wide PPS. To assess the suitability of NAPS in benchmarking antimicrobial prescribing practices, we piloted the NAPS platform in the acute admission ward areas in two NHS Trusts within an ICB. Methods In OUHFT, admissions to 2 acute medicine wards on a single day were extracted using the Cerner electronic prescribing system. Antimicrobial prescriptions were anonymized, reviewed using NAPS protocol and uploaded to the NAPS platform. In BHT, antimicrobial prescriptions on 2 admission wards were collected manually using the NAPS parameters and audit standards and entered directly into Excel®. Ethical approval was not required due to the anonymized nature of this audit. Results A total of 124 patients at OUHFT and 53 patients at BHT were included. The proportion of patients prescribed antimicrobials varied, with a prevalence of 23% (n = 29) at OUHFT and 54% (n = 28) at BHT. The total number of antimicrobial prescriptions was approximately 40 per trust. Compliance with guidelines for OUHFT and BHT (88% versus 83%) and stewardship appropriateness (73% versus 80%) were similar. The main indication for antimicrobials was pneumonia. The most common reasons for inappropriateness were ‘incorrect duration’ and ‘spectrum too broad’. The most prescribed antimicrobials differed, with co-amoxiclav and amoxicillin (43%) at OUHFT and metronidazole and clarithromycin (24%) at BHT. Non-compliance with guidelines was frequently associated with the use of doxycycline and co-amoxiclav (47%) at OUHFT and amoxicillin and piperacillin/tazobactam (72%) at BHT. Conclusions Benchmarking of antimicrobial prescribing was possible as both PPSs were conducted using the NAPS parameters and standards. Focusing efforts on antibiotic prescribing for pneumonia, the use of broad-spectrum antimicrobials and reducing duration of courses will be taken forward as a key focus for AMS efforts. NAPS is a suitable tool for benchmarking, sharing best practice and facilitating discussion of AMS interventions across an ICB. This model should be considered as a template for national benchmarking of antimicrobial prescribing.

Agreement between Force Platform and Smartphone Application-Derived Measures of Vertical Jump Height in Youth Grassroots Soccer Players.

Given the importance of vertical jump assessments as a performance benchmarking tool, the assessment of neuromuscular function and indicator of health status, accurate assessment is essential. This study compared countermovement jump (CMJ) height assessed using MyJump2 (JHMJ) to force-platform-derived jump height calculated from time in the air (JHTIA) and take-off velocity (JHTOV) in youth grassroots soccer players. Thirty participants (Age: 8.7 ± 0.42 yrs; 9 females) completed bilateral CMJs on force platforms whilst jump height was simultaneously evaluated using MyJump2. Intraclass correlation coefficients (ICC), Standard error of measurement (SEM), coefficient of variance (CV) and Bland-Altman analysis were used to compare performance of MyJump2 to force-platform-derived measures of CMJ height. The median jump height was 15.5 cm. Despite a high level of agreement between JHTIA and JHTOV (ICC = 0.955), CV (6.6%), mean bias (1.33 ± 1.62 cm) and 95% limits of agreement (LoA -1.85-4.51 cm) were greater than in other comparisons. JHMJ performed marginally better than JHTIA when compared to JHTOV (ICC = 0.971; 95% CI's = 0.956-0.981; SEM = 0.3 cm; CV = 5.7%; mean bias = 0.36 ± 1.61 cm; LoA = -3.52-2.80 cm). Irrespective of method, jump height did not differ between males and females (p > 0.381; r < 0.093), and the comparison between assessment tools was not affected by sex. Given low jump heights achieved in youth, JHTIA and JHMJ should be used with caution. JHTOV should be used to guarantee accuracy in the calculation of jump height.

Improvement of Geant4 Neutron-HP package: Doppler broadening of the neutron elastic scattering kernel

Whether it is for shielding applications or for safety criticality studies, numerically solving the neutron transport equation with a good accuracy requires to precisely estimate the Doppler broadened elastic scattering kernel in the thermal and epithermal energy range of neutrons travelling in a free gas. In Geant4, low energy neutrons are transported using evaluated data libraries handled by the Neutron High-Precision (Neutron-HP) package. Version 11.00.p03 of the code features in particular the Doppler broadened elastic scattering kernel, provided by the so-called ‘Sampling of the Velocity of the Target’ (SVT) method. However this latter fails for resonant heavy nuclei such as 238U and can severely impact the solving of the Boltzmann equation in fissile media. To overcome this shortcoming, the Doppler Broadening Rejection Correction (DBRC) method has been implemented in Geant4 and successfully validated with the reference Monte Carlo neutron transport code Tripoli-4® (version 11). This development will be taken into account in the next release of the code. All the validations have been performed with an automated benchmark tool which has been designed to support the quality assurance of the Geant4 Neutron-HP package. This tool is currently available on an ad hoc Gitlab repository and will be included in Geant4.