Digital Commons Network^™

Phantasus, A Web Application For Visual And Interactive Gene Expression Analysis, Maksim Kleverov, Daria Zenkova, Vladislav Kamenev, Margarita Sablina, Maxim N Artyomov, Alexey A Sergushichev

2020-Current year OA Pubs

Transcriptomic profiling became a standard approach to quantify a cell state, which led to the accumulation of huge amount of public gene expression datasets. However, both reuse of these datasets or analysis of newly generated ones requires significant technical expertise. Here, we present Phantasus: a user-friendly web application for interactive gene expression analysis which provides a streamlined access to more than 96,000 public gene expression datasets, as well as allows analysis of user-uploaded datasets. Phantasus integrates an intuitive and highly interactive JavaScript-based heatmap interface with an ability to run sophisticated R-based analysis methods. Overall Phantasus allows users to go all …

Ethical Considerations Toward Protestware, Marc Cheong, Raula Kula, Christoph Treude

Research Collection School Of Computing and Information Systems

This article looks into possible scenarios where developers might consider turning their free and open source software into protestware. Using different frameworks commonly used in artificial intelligence (AI) ethics, we extend the applications of AI ethics to the study of protestware.

Measuring Accuracy Of Dolphin Imaging Software In Predicting Upper Jaw Soft Tissue Profile Changes In Class Ii Adult Patients Treated With Extraction Versus Non-Extraction., Amr Amin Arif, Esam Nasef, Amira Aboalnaga

Future Dental Journal

Abstract

Objective: To assess the accuracy of Dolphin Imaging software in predicting upper jaw profile changes in class II patients treated by extraction and non-extraction.

Methods: The records of 60 Class II div 1 patients were selected; 30 patients treated by extraction of upper first premolar and 30 patients treated by non-extraction. The Pre- and post-treatment lateral cephalometric x-rays of each patient were traced using Dolphin software. The actual hard tissue changes due to treatment were calculated and installed into the prediction module to generate the predicted profile. The soft tissue measurements of the actual post-treatment and predicted profiles were …

Detection Of Unauthorized Transmissions In A Frequency Spectrum Using Wireless Sensor Network, Joel Brinkman, Jannette Gonzalez, Benjamin Roehrig, Dylan Zupec

Honors Capstones

A prototype for a wireless sensor network has been designed to detect and identify unauthorized wireless transmissions in a frequency spectrum. This prototype design is intended to detect unauthorized transmissions within the FM band of frequencies independently at individual nodes with Software Defined Radio receivers and transmit that information to a fusion center for aggregation using a Bluetooth mesh network. Aggregated results will be displayed to the user through a Graphical User Interface at the fusion center.

Single-Nucleotide Variant Calling In Single-Cell Sequencing Data With Monopogen, Jinzhuang Dou, Li Ding, Et Al.

2020-Current year OA Pubs

Single-cell omics technologies enable molecular characterization of diverse cell types and states, but how the resulting transcriptional and epigenetic profiles depend on the cell's genetic background remains understudied. We describe Monopogen, a computational tool to detect single-nucleotide variants (SNVs) from single-cell sequencing data. Monopogen leverages linkage disequilibrium from external reference panels to identify germline SNVs and detects putative somatic SNVs using allele cosegregating patterns at the cell population level. It can identify 100 K to 3 M germline SNVs achieving a genotyping accuracy of 95%, together with hundreds of putative somatic SNVs. Monopogen-derived genotypes enable global and local ancestry inference …

A Data Browsing Application For Accessing Gene And Module-Level Blood Transcriptome Profiles Of Healthy Pregnant Women From High- And Low-Resource Settings., Darawan Rinchai, Tobias Brummaier, Alexandra A Marr, Tanwir Habib, Mohammed Toufiq, Tomoshigue Kino, François Nosten, Souhaila Al Khodor, Annalisa Terranegra, Rose Mcgready, Basirudeen Syed Ahamed Kabeer, Damien Chaussabel

Faculty Research 2024

Transcriptome profiling data, generated via RNA sequencing, are commonly deposited in public repositories. However, these data may not be easily accessible or usable by many researchers. To enhance data reuse, we present well-annotated, partially analyzed data via a user-friendly web application. This project involved transcriptome profiling of blood samples from 15 healthy pregnant women in a low-resource setting, taken at 6 consecutive time points beginning from the first trimester. Additional blood transcriptome profiles were retrieved from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) public repository, representing a cohort of healthy pregnant women from a high-resource setting. …

Arch: Improving The Performance Of Clonal Hematopoiesis Variant Calling And Interpretation, Irenaeus C C Chan, Alex Panchot, Evelyn Schmidt, Brian J Wiley, Jie Liu, Kimberly Turner, Duc Tran, J Scott Beeler, Armel Landry Batchi-Bouyou, Daniel C Link, Kelly L Bolton, Et Al.

2020-Current year OA Pubs

MOTIVATION: The acquisition of somatic mutations in hematopoietic stem and progenitor stem cells with resultant clonal expansion, termed clonal hematopoiesis (CH), is associated with increased risk of hematologic malignancies and other adverse outcomes. CH is generally present at low allelic fractions, but clonal expansion and acquisition of additional mutations leads to hematologic cancers in a small proportion of individuals. With high depth and high sensitivity sequencing, CH can be detected in most adults and its clonal trajectory mapped over time. However, accurate CH variant calling is challenging due to the difficulty in distinguishing low frequency CH mutations from sequencing artifacts. …

Do Patents Drive Investment In Software?, James Hicks

Northwestern University Law Review

In the wake of a quartet of Supreme Court decisions which disrupted decades of settled law, the doctrine of patentable subject matter is in turmoil. Scholars, commentators, and jurists continue to disagree sharply over which kinds of invention should be patentable. In this debate, no technology has been more controversial than software. Advocates of software patents contend that denying protection would stymie innovation in a vital industry; skeptics argue that patents are a poor fit for software, and that the social costs of patents outweigh any plausible benefits. At the core of this disagreement is a basic problem: the debate …

Epivar Browser: Advanced Exploration Of Epigenomics Data Under Controlled Access., David R. Lougheed, Hanshi Liu, Katherine A. Aracena, Romain Grégoire, Alain Pacis, Tomi Pastinen, Luis B. Barreiro, Yann Joly, David Bujold, Guillaume Bourque

Manuscripts, Articles, Book Chapters and Other Papers

MOTIVATION: Human epigenomic data has been generated by large consortia for thousands of cell types to be used as a reference map of normal and disease chromatin states. Since epigenetic data contains potentially identifiable information, similarly to genetic data, most raw files generated by these consortia are stored in controlled-access databases. It is important to protect identifiable information, but this should not hinder secure sharing of these valuable datasets.

RESULTS: Guided by the Framework for responsible sharing of genomic and health-related data from the Global Alliance for Genomics and Health (GA4GH), we have developed an approach and a tool to …

The Impact Of Artificial Intelligence And Machine Learning On Organizations Cybersecurity, Mustafa Abdulhussein

Doctoral Dissertations and Projects

As internet technology proliferate in volume and complexity, the ever-evolving landscape of malicious cyberattacks presents unprecedented security risks in cyberspace. Cybersecurity challenges have been further exacerbated by the continuous growth in the prevalence and sophistication of cyber-attacks. These threats have the capacity to disrupt business operations, erase critical data, and inflict reputational damage, constituting an existential threat to businesses, critical services, and infrastructure. The escalating threat is further compounded by the malicious use of artificial intelligence (AI) and machine learning (ML), which have increasingly become tools in the cybercriminal arsenal. In this dynamic landscape, the emergence of offensive AI introduces …

The Monarch Initiative In 2024: An Analytic Platform Integrating Phenotypes, Genes And Diseases Across Species., Tim E Putman, Kevin Schaper, Nicolas Matentzoglu, Vincent P Rubinetti, Faisal S Alquaddoomi, Corey Cox, J Harry Caufield, Glass Elsarboukh, Sarah Gehrke, Harshad Hegde, Justin T Reese, Ian Braun, Richard M Bruskiewich, Luca Cappelletti, Seth Carbon, Anita R Caron, Lauren E Chan, Christopher G Chute, Katherina G Cortes, Vinícius De Souza, Tommaso Fontana, Nomi L Harris, Emily L Hartley, Eric Hurwitz, Julius O B Jacobsen, Madan Krishnamurthy, Bryan J Laraway, James A Mclaughlin, Julie A Mcmurry, Sierra A T Moxon, Kathleen R Mullen, Shawn T O'Neil, Kent A Shefchek, Ray Stefancsik, Sabrina Toro, Nicole A Vasilevsky, Ramona L Walls, Patricia L Whetzel, David Osumi-Sutherland, Damian Smedley, Peter N Robinson, Christopher J Mungall, Melissa A Haendel, Monica C Munoz-Torres

Faculty Research 2024

Bridging the gap between genetic variations, environmental determinants, and phenotypic outcomes is critical for supporting clinical diagnosis and understanding mechanisms of diseases. It requires integrating open data at a global scale. The Monarch Initiative advances these goals by developing open ontologies, semantic data models, and knowledge graphs for translational research. The Monarch App is an integrated platform combining data about genes, phenotypes, and diseases across species. Monarch's APIs enable access to carefully curated datasets and advanced analysis tools that support the understanding and diagnosis of disease for diverse applications such as variant prioritization, deep phenotyping, and patient profile-matching. We have …

Hecatomb: An Integrated Software Platform For Viral Metagenomics, Michael J Roach, Sarah J Beecroft, Kathie A Mihindukulasuriya, Leran Wang, Anne Paredes, Luis Alberto Chica Cárdenas, Kara Henry-Cocks, Lais Farias Oliveira Lima, Elizabeth A Dinsdale, Robert A Edwards, Scott A Handley

2020-Current year OA Pubs

BACKGROUND: Modern sequencing technologies offer extraordinary opportunities for virus discovery and virome analysis. Annotation of viral sequences from metagenomic data requires a complex series of steps to ensure accurate annotation of individual reads and assembled contigs. In addition, varying study designs will require project-specific statistical analyses.

FINDINGS: Here we introduce Hecatomb, a bioinformatic platform coordinating commonly used tasks required for virome analysis. Hecatomb means "a great sacrifice." In this setting, Hecatomb is "sacrificing" false-positive viral annotations using extensive quality control and tiered-database searches. Hecatomb processes metagenomic data obtained from both short- and long-read sequencing technologies, providing annotations to individual sequences …

Sc2menetdrug: A Computational Tool To Uncover Inter-Cell Signaling Targets And Identify Relevant Drugs Based On Single Cell Rna-Seq Data, Jiarui Feng, S. Peter Goedegebuure, Amanda Zeng, Ye Bi, Ting Wang, Philip Payne, Li Ding, David Denardo, William Hawkins, Ryan C. Fields, Fuhai Li

2020-Current year OA Pubs

Single-cell RNA sequencing (scRNA-seq) is a powerful technology to investigate the transcriptional programs in stromal, immune, and disease cells, like tumor cells or neurons within the Alzheimer's Disease (AD) brain or tumor microenvironment (ME) or niche. Cell-cell communications within ME play important roles in disease progression and immunotherapy response and are novel and critical therapeutic targets. Though many tools of scRNA-seq analysis have been developed to investigate the heterogeneity and sub-populations of cells, few were designed for uncovering cell-cell communications of ME and predicting the potentially effective drugs to inhibit the communications. Moreover, the data analysis processes of discovering signaling …

Advancements And Challenges In Additively Manufactured Functionally Graded Materials: A Comprehensive Review, Suhas Alkunte, Ismail Fidan, Vivekanand Naikwadi, Shamil Gudavasov, Mohammad Alshaikh Ali, Mushfig Mahmudov, Seymur Hasanov, Muralimohan Cheepu

Engineering Technology Faculty Publications

This paper thoroughly examines the advancements and challenges in the field of additively manufactured Functionally Graded Materials (FGMs). It delves into conceptual approaches for FGM design, various manufacturing techniques, and the materials employed in their fabrication using additive manufacturing (AM) technologies. This paper explores the applications of FGMs in diverse fields, including structural engineering, automotive, biomedical engineering, soft robotics, electronics, 4D printing, and metamaterials. Critical issues and challenges associated with FGMs are meticulously analyzed, addressing concerns related to production and performance. Moreover, this paper forecasts future trends in FGM development, highlighting potential impacts on diverse industries. The concluding section summarizes …

The Impacts Of Hype And Competition On The Valuations Of Privately-Held U.S. Software Startups, Karan Sudhir Goel

CMC Senior Theses

The impacts of internal conditions on startup valuations have been well studied, but external factors such as market hype and competition have been more restricted to public company valuation research. With soaring valuations in the Generative AI market, an analysis of the relation of hype and competition to startup valuations is timely. I test three hypotheses: (1) More hype about certain business or tech-focused topics is associated with higher valuations for startups operating in those areas (2) More competition is associated with lower valuations for startups (3) The positive effect of hype on valuations is offset by the negative effect …

Parametric Optimization Of Friction Stir Welding Of Aa6061-T6 Samples Using The Copper Donor Stir-Assisted Material Method, Aiman H. Al-Allaq, Joseph Maniscalco, Srinivasa Naik Bhukya, Zhenhua Wu, Abdelmageed Elmustafa

Mechanical & Aerospace Engineering Faculty Publications

This study presents an optimization of the process parameters for the effect of copper (Cu) donor material percentage on the friction stir welding (FSW) of AA6061-T6 alloy. Extensive factorial experiments were conducted to determine the significance of the rotational speed (ω), the transverse speed (v), the interface coefficient of friction (μ), and the Cu donor material percentage in the plunge, left, right, and downstream zones. Design Expert 13 software was used to identify the number of simulation experiments to be conducted using the Abaqus simulation software. From Design Expert 13, which is a thorough multi-objective optimization analysis software, we were …

Using Feature Selection Enhancement To Evaluate Attack Detection In The Internet Of Things Environment, Khawlah Harahsheh, Rami Al-Naimat, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The rapid evolution of technology has given rise to a connected world where billions of devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the IoT offers incredible convenience and efficiency, it presents a significant challenge to cybersecurity and is characterized by various power, capacity, and computational process limitations. Machine learning techniques, particularly those encompassing supervised classification techniques, offer a systematic approach to training models using labeled datasets. These techniques enable intrusion detection systems (IDSs) to discern patterns indicative of potential attacks amidst the vast amounts of IoT data. Our investigation delves into various aspects …

Shields Up For Software, Derek E. Bambauer, Melanie J. Teplinsky

UF Law Faculty Publications

This Article contends that the National Cybersecurity Strategy's software liability regime should incorporate two safe harbors. The first would shield software creators and vendors from liability for decisions related to design, implementation, and maintenance, as long as those choices follow enumerated best practices. The second—the “inverse safe harbor”—would have the opposite effect: coders and distributors who engaged in defined worst practices would automatically become liable. This Article explains the design, components, and justifications for these twin safe harbors. The software safe harbors are key parts of the overall design of the new liability regime and work in tandem with the …

The Medical Action Ontology: A Tool For Annotating And Analyzing Treatments And Clinical Management Of Human Disease., Leigh Carmody, Michael Gargano, Sabrina Toro, Nicole A Vasilevsky, Margaret P Adam, Hannah Blau, Lauren E Chan, David Gomez-Andres, Rita Horvath, Megan L Kraus, Markus S Ladewig, David Lewis-Smith, Hanns Lochmüller, Nicolas A Matentzoglu, Monica C Munoz-Torres, Catharina Schuetz, Berthold Seitz, Morgan N Similuk, Teresa N Sparks, Timmy Strauss, Emilia M Swietlik, Rachel Thompson, Xingmin Aaron Zhang, Christopher J Mungall, Melissa A Haendel, Peter N Robinson

Faculty Research 2023

BACKGROUND: Navigating the clinical literature to determine the optimal clinical management for rare diseases presents significant challenges. We introduce the Medical Action Ontology (MAxO), an ontology specifically designed to organize medical procedures, therapies, and interventions.

METHODS: MAxO incorporates logical structures that link MAxO terms to numerous other ontologies within the OBO Foundry. Term development involves a blend of manual and semi-automated processes. Additionally, we have generated annotations detailing diagnostic modalities for specific phenotypic abnormalities defined by the Human Phenotype Ontology (HPO). We introduce a web application, POET, that facilitates MAxO annotations for specific medical actions for diseases using the Mondo …

A Novel Software For Organelle Genome-Based Baraminology Studies, Matthew Cserhati

Proceedings of the International Conference on Creationism

Background

There are 24,165 organelle DNA sequences at the Organelle Genome webpage at the NCBI website, as of June 19, 2022. Of these, 14,799 are mitochondrial genomes and 8,050 are chloroplast genomes. Since organelle genomes are very small and very abundant within the cell, they are easy to isolate and sequence. This means that there is a very large number of organelle genome data available for baraminologists to explore and analyze. Using organelle genomes is a quick way to map a large number of species to their respective baramins in preliminary baraminology studies.

The first mitochondrial DNA (mtDNA) studies in …

Herramienta Pedagógica Basada En El Desarrollo De Una Aplicación Informática Para La Mejora Del Aprendizaje En Matemática Avanzada, Íñigo Sarría Martínez De Mendivil, Rubén González Crespo, Alexander González-Castaño, Ángel Alberto Magreñán Ruiz, Lara Orcos Palma

Revista Española de Pedagogía

El estudio dinámico de los métodos iterativos ha aumentado en las últimas décadas debido al desarrollo de los ordenadores, aspecto por el cual se ha visto la necesidad de incluir la enseñanza de estos métodos en los planes de estudio. En la actualidad, hay varios tipos de software cuya aplicación didáctica en las aulas es de gran utilidad, pero no se han diseñado atendiendo a las dificultades que los alumnos presentan en relación al aprendizaje de la dinámica de los métodos iterativos. Cabe, asimismo, destacar que no existe un software diseñado en exclusiva para la enseñanza de métodos iterativos y …

Automated Large Vessel Occlusion Detection Software And Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial, Juan Carlos Martinez-Gutierrez, Youngran Kim, Sergio Salazar-Marioni, Muhammad Bilal Tariq, Rania Abdelkhaleq, Arash Niktabe, Anjan N Ballekere, Ananya S Iyyangar, Mai Le, Hussain Azeem, Charles C Miller, Jon E Tyson, Sandi Shaw, Peri Smith, Mallory Cowan, Isabel Gonzales, Louise D Mccullough, Andrew D Barreto, Luca Giancardo, Sunil A Sheth

Journal Articles

IMPORTANCE: The benefit of endovascular stroke therapy (EVT) in large vessel occlusion (LVO) ischemic stroke is highly time dependent. Process improvements to accelerate in-hospital workflows are critical.

OBJECTIVE: to determine whether automated computed tomography (CT) angiogram interpretation coupled with secure group messaging can improve in-hospital EVT workflows.

DESIGN, SETTING, AND PARTICIPANTS: This cluster randomized stepped-wedge clinical trial took place from January 1, 2021, through February 27, 2022, at 4 comprehensive stroke centers (CSCs) in the greater Houston, Texas, area. All 443 participants with LVO stroke who presented through the emergency department were treated with EVT at the 4 CSCs. Exclusion …

Academic Records Management Systems (Arms) And Students' Academic Records Maintenance In Nigerian Universities, Godswill Okon, Eboro E. Umoren, Kathryn Philips

Library Philosophy and Practice (e-journal)

Librarians organize information resources of all kind for easy access and retrieval; organizational records are one of such information resources that librarians organize for quick access and easy retrieval when needed by the organizations. Academic records being vital information resources that determines the future of students and the efficient workability of academic institutions like universities and other schools are to be well managed and organized so as not to get them mutilated, destroyed or missing. These academic records which include course registration, results, transcript and the likes are supposed to be well managed as they contain delicate information concerning the …

Aon: A Service To Augment Alliance Genome Resource Data With Additional Species., Sophie K Kearney, Alexander Berger, Erich Baker

Faculty Research 2023

OBJECTIVE: Cross-species comparative genomics requires access to accurate homology data across the entire range of annotated genes. The Alliance of Genome Resources (AGR) provides an open-source and comprehensive database of homology data calculated using a wide array of algorithms at differing stringencies to elucidate orthologous relationships. However, the current AGR application program interface (API) is limited to five homology endpoints for nine species. While AGR provides a robust resource for several canonical species, its utility can be greatly enhanced by increased filtering and data processing options and incorporating additional species.

RESULTS: Here, we describe a novel API tool, AON, that …

Accuracy And Reliability Of Chatbot Responses To Physician Questions, Rachel S Goodman, Isik Turker, Et Al.

2020-Current year OA Pubs

IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patients. Assessing the safety and efficacy of these tools in answering physician-generated questions is critical to determining their suitability in clinical settings, facilitating complex decision-making, and optimizing health care efficiency.

OBJECTIVE: To assess the accuracy and comprehensiveness of chatbot-generated responses to physician-developed medical queries, highlighting the reliability and limitations of artificial intelligence-generated medical information.

DESIGN, SETTING, AND PARTICIPANTS: Thirty-three physicians across 17 specialties generated 284 medical questions that they …

Comprehensive Mr Imaging Qa Of 0.35 T Mr-Linac Using A Multi-Purpose Large Fov Phantom: A Single-Institution Experience, Shanti Marasini, Hailei Zhang, Lara Dyke, Mike Cole, Benjamin Quinn, Austen Curcuru, Bruce Gu, Rocco Flores, Taeho Kim

2020-Current year OA Pubs

PURPOSE: Magnetic resonance-guided radiotherapy (MRgRT) is desired for the treatment of diseases in the abdominothoracic region, which has a broad imaging area and continuous motion. To ensure accurate treatment delivery, an effective image quality assurance (QA) program, with a phantom that covers the field of view (FOV) similar to a human torso, is required. However, routine image QA for a large FOV is not readily available at many MRgRT centers. In this work, we present the clinical experience of the large FOV MRgRT Insight phantom for periodic daily and monthly comprehensive magnetic resonance imaging (MRI)-QA and its feasibility compared to …

Opinion: How Software Stifles Competition And Innovation, James Bessen

Faculty Scholarship

Innovation is not what it used to be, and software is part of the reason. In many industries—industries well beyond Big Tech—dominant firms have built large software-based platforms delivering important consumer benefits, but these platforms also slow the rise of innovative rivals, including productive startups.5 Because access to these platforms is limited, competition has been constrained, creating a troubling market dynamic that slows economic growth.

Visually Analyzing Company-Wide Software Service Dependencies: An Industrial Case Study, Sebastian Baltes, Brian Pfitzmann, Thomas Kowark, Christoph Treude, Fabian Beck

Research Collection School Of Computing and Information Systems

Managing dependencies between software services is a crucial task for any company operating cloud applications. Visualizations can help to understand and maintain these com-plex dependencies. In this paper, we present a force-directed service dependency visualization and filtering tool that has been developed and used within SAP. The tool's use cases include guiding service retirement as well as understanding service deployment landscapes and their relationship to the company's organizational structure. We report how we built and adapted the tool under strict time constraints to address the requirements of our users. We further share insights on how we enabled internal adoption. For …

Virtual Blebbistatin: A Robust And Rapid Software Approach To Motion Artifact Removal In Optical Mapping Of Cardiomyocytes, Louis G Woodhams, Jingxuan Guo, David Schuftan, John J Boyle, Kenneth M Pryse, Elliot L Elson, Nathaniel Huebsch, Guy M Genin

2020-Current year OA Pubs

Fluorescent reporters of cardiac electrophysiology provide valuable information on heart cell and tissue function. However, motion artifacts caused by cardiac muscle contraction interfere with accurate measurement of fluorescence signals. Although drugs such as blebbistatin can be applied to stop cardiac tissue from contracting by uncoupling calcium-contraction, their usage prevents the study of excitation-contraction coupling and, as we show, impacts cellular structure. We therefore developed a robust method to remove motion computationally from images of contracting cardiac muscle and to map fluorescent reporters of cardiac electrophysiological activity onto images of undeformed tissue. When validated on cardiomyocytes derived from human induced pluripotent …

Acorn: An R Package For De Novo Variant Analysis, Tychele N Turner

2020-Current year OA Pubs

BACKGROUND: The study of de novo variation is important for assessing biological characteristics of new variation and for studies related to human phenotypes. Software programs exist to call de novo variants and programs also exist to test the burden of these variants in genomic regions; however, I am unaware of a program that fits in between these two aspects of de novo variant assessment. This intermediate space is important for assessing the quality of de novo variants and to understand the characteristics of the callsets. For this reason, I developed an R package called acorn.

RESULTS: Acorn is an R …