Version Of Map Research Articles

The ISCB competency framework v. 3: a revised and extended standard for bioinformatics education and training

Abstract Motivation Developing competency in the broad area of bioinformatics is challenging globally, owing to the breadth of the field and the diversity of its audiences for education and training. Course design can be facilitated by the use of a competency framework—a set of competency requirements that define the knowledge, skills and attitudes needed by individuals in (or aspiring to be in) a particular profession or role. These competency requirements can help to define curricula as they can inform both the content and level to which competency needs to be developed. The International Society for Computational Biology (ISCB) developed a list of bioinformatics competencies in 2014, and these have undergone several rounds of improvement. In consultation with a broad bioinformatics training community, these have now been further refined and extended to include knowledge skills and attitudes, and mappings to previous and other existing competency frameworks. Results Here we present version 3 of the ISCB competency framework. We describe how it was developed and how to access it, as well as providing some examples of how it has been used. Availability The framework is openly accessible at https://competency.ebi.ac.uk/framework/iscb/3.0/competencies Supplementary information Supplementary information is available as follows: 1. Mapping version history 2. Competency guidelines DOI: 10.5281/zenodo.5418103 3. Use cases DOI: 10.5281/zenodo.5810303

Trace maps on rigid Stein spaces

We provide a relative version of the trace map from the work of Beyer, which can be associated to any finite étale morphism X→Y\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ X \\rightarrow Y$$\\end{document} of smooth rigid Stein spaces and which then relates the Serre duality on X with the Serre duality on Y. Furthermore, we consider the behaviour of any rigid Stein space under (completed) base change to any complete extension field and deduce a commutative diagram relating Serre duality over the base field with the Serre duality over the extension field.

Implementation of hereditary cancer risk assessment in primary care: Intervention strategies and proximal outcomes.

279 Background: Family history-based risk assessment for hereditary breast and ovarian cancer and Lynch syndrome is guideline recommended and has strong evidence supporting its implementation into clinical practice, especially primary care. Yet, adoption has been impeded by limited awareness of genetic evaluation guidelines among primary care providers (PCPs), time constraints in screening during appointments, and limited resources for follow-up within primary care. To close this gap, we implemented a hereditary cancer risk assessment program that addresses these barriers and evaluated proximal implementation outcomes. Methods: We used intervention mapping for adaptation (IM-Adapt), a modified version of Intervention Mapping to guide the adaptation and implementation of the evidence-based 7-question family history screening (FHS-7) at a primary care clinic within an academic medical center. FHS-7 was adapted for administration via electronic patient portal prior to PCP visit or in-person at PCP visit. All clinic patients were offered screening and follow-up genetic counseling and testing per guidelines. Administrative, programmatic, and electronic medical record data were analyzed for program evaluation. Results: Between February 2023 and March 2024, 4,540 primary care patients were offered hereditary cancer risk assessment and 3,497 (77%) completed screening. Patient portals were used to complete screening more frequently than in-person at the clinic (86.6% vs 13.4%). Among patients with qualifying family history of cancer (n=1,267, 36%), 1,117 (88%) were eligible for navigation as they completed their primary care appointment and did not undergo genetic counseling within the last 5 years. Of the eligible patients, 62% were successfully contacted by a navigator and offered genetic counseling. Program implementation was facilitated by key personnel (clinical champion, informatics staff, genetic patient navigator) and adaptations to fit the implementation setting (adapting FHS7 for patient self-report rather than administration by PCP, patient population with high patient-portal adoption rate and in-house genetic service resources). Conclusions: We demonstrate the feasibility of hereditary cancer risk assessment within primary care and describe actionable aspects of the implementation context that influence screening uptake that can be incorporated into the design of future implementation for maximum impact. Findings advance the state of science in identification of unaffected individuals with inherited cancer susceptibility and genetic service delivery.

Detecting causalities between strongly coupled dynamical systems

A new version of the convergent cross mapping is proposed to detect causalities from records for strongly coupled nonlinear dynamical systems, where the mutual entropy is used to measure nonlinear correlations, and the time delay stability is adopted to filter out false identifications. Calculations on various deterministic dynamic systems show that it is applicable not only to strongly coupled systems but also to non-interacting systems influenced by a common environment. Compared with the original version of convergent cross mapping, under strong couplings our proposed method has significantly higher accuracy, and is more robust to coupling strength. As a typical example, it is used to detect the causal effects between arterial blood pressure (ABP) and intracranial pressure (ICP) of patients diagnosed with traumatic brain injury (TBI). A mono-directional causality from ICP to ABP is identified.

Geometrical construction of a chaotic horseshoe-like map on Cantor dust [formula omitted]

Smale’s horseshoe map is one of the most important examples of 2D chaos in dynamical systems. Its chaotic behavior is often illustrated using a two-sided shift map. In this paper, a 3−dimensional horseshoe-like map is defined inspired by the geometrical motivation of the horseshoe map of Smale. Moreover, this construction is expressed on the Cantor dust (C×C×C) via ternary numbers and then the density of the periodic points is proved by using a different technique. To compute these periodic points more rapidly, we also give an algorithm. Finally, it is shown that this version of 3D horseshoe-like map is Devaney chaotic.

Characterizing ℒ1$$ {\mathcal{L}}_1 $$ output‐feedback controller for nonlinear systems: Existence conditions via output controlled invariance domain

SummaryMotivated by existing works on the state‐feedback controller for nonlinear systems, in which the norm of the output for the worst disturbance with a unit magnitude is required to be bounded by 1, this paper considers an extension of those works to an output‐feedback form. More precisely, the existence of an output‐feedback controller for nonlinear systems is characterized by developing output regulation map and output controlled invariance domain, which are extended versions of the conventional regulation map and controlled invariance domain in the previous works. We first lead to a sufficient condition for the existence of an output‐feedback controller by ensuring the lower‐semicontinuity of the corresponding output regulation map. It is also shown in this paper that there exists an output‐feedback controller only if there exists an output controlled invariance domain. Based on these conditions, we further introduce algorithmic guidelines for verifying the existence of output‐feedback controller. Finally, a numerical example is provided to verify the validity of the overall arguments developed in this paper.

DeepEMC-T2 mapping: Deep learning-enabled T2 mapping based on echo modulation curve modeling.

Echo modulation curve (EMC) modeling enables accurate quantification of T2 relaxation times in multi-echo spin-echo (MESE) imaging. The standard EMC-T2 mapping framework, however, requires sufficient echoes and cumbersome pixel-wise dictionary-matching steps. This work proposes a deep learning version of EMC-T2 mapping, called DeepEMC-T2 mapping, to efficiently estimate accurate T2 maps from fewer echoes. DeepEMC-T2 mapping was developed using a modified U-Net to estimate both T2 and proton density (PD) maps directly from MESE images. The network implements several new features to improve the accuracy of T2/PD estimation. A total of 67 MESE datasets acquired in axial orientation were used for network training and evaluation. An additional 57 datasets acquired in coronal orientation with different scan parameters were used to evaluate the generalizability of the framework. The performance of DeepEMC-T2 mapping was evaluated in seven experiments. Compared to the reference, DeepEMC-T2 mapping achieved T2 estimation errors from 1% to 11% and PD estimation errors from 0.4% to 1.5% with ten/seven/five/three echoes, which are more accurate than standard EMC-T2 mapping. By incorporating datasets acquired with different scan parameters and orientations for joint training, DeepEMC-T2 exhibits robust generalizability across varying imaging protocols. Increasing the echo spacing and including longer echoes improve the accuracy of parameter estimation. The new features proposed in DeepEMC-T2 mapping all enabled more accurate T2 estimation. DeepEMC-T2 mapping enables simplified, efficient, and accurate T2 quantification directly from MESE images without dictionary matching. Accurate T2 estimation from fewer echoes allows for increased volumetric coverage and/or higher slice resolution without prolonging total scan times.

An improved reversible watermarking scheme using embedding optimization and quaternion moments

Digital watermarking of images is an essential method for copyright protection and image security. This paper presents an innovative, robust watermarking system for color images based on moment and wavelet transformations, algebraic decompositions, and chaotic systems. First, we extended classical Charlier moments to quaternary Charlier moments (QCM) using quaternion algebra. This approach eliminates the need to decompose color images before applying the discrete wavelet transform (DWT), reducing the computational load. Next, we decompose the resulting DWT matrix using QR and singular value decomposition (SVD). To enhance the system's security and robustness, we introduce a modified version of Henon's 2D chaotic map. Finally, we integrate the arithmetic optimization algorithm to ensure dynamic and adaptive watermark insertion. Our experimental results demonstrate that our approach outperforms current color image watermarking methods in security, storage capacity, and resistance to various attacks, while maintaining a high level of invisibility.

‘El único remedio para florecer la provincia’: extraction and opportunity in the Curso de el río Atrato and the Descripción de la Provincia del Zitará

ABSTRACT The Curso de el río Atrato. Plan de la Provincia del Zitará, created in the final quarter of the eighteenth century, offers an encyclopedic yet stylized look at the Atrato River, a major fluvial thoroughfare in the Colombian Chocó and an important gold mining region in New Granada. These documents offer a seemingly exhaustive snapshot of society, ethnicity, demography, hydrography, geography, and economy found in no other map of the region. Nevertheless, a close reading of map and text reveals that they exaggerate economic opportunity and minimize the dangers posed by native Cuna Indians and foreign adversaries. Additionally, these documents present an enigma. We do not know who created them or for whom they were created. We do not know precisely when they were made or why. And, for decades, their whereabouts have long been a mystery. In this article, I rediscover the location of map and descripción and present evidence to suggest that at least two versions of map and text exist. The map’s argument, centered on increasing mining yields in the region, places it within a genre of persuasive cartography that petitioned for resources, including settlers, enslaved labor, supplies, defense, and/or infrastructure. A careful analysis of the Atrato map and text underscores how such pleas were specific to time and place.

Improvements and limitations of the latest version 8 of GSMaP compared with its former version 7 and IMERG V06 at multiple spatio-temporal scales in mainland China

The latest version of the Global Satellite Mapping of Precipitation (GSMaP Version 8), released in December 2021, necessitates a thorough evaluation of its merits and drawbacks relative to other satellite precipitation products in the Global Precipitation Measurement (GPM) era. A comprehensive assessment is crucial for both end-users and algorithm developers. This study performs a multi-scale evaluation and comparison of daily and hourly precipitation from GSMaP V8, GSMaP V7, and the Integrated Multi-satellite Retrievals for GPM (IMERG) V06 across mainland China and eight climatic regions. The evaluation encompasses four aspects: detection of rain/no-rain events, quantification of precipitation amount, capturing diurnal cycle features, and monitoring extreme events. The results indicate that: (1) GSMaP V8 excels in distinguishing rain/no-rain events on both daily and hourly scales during summer and accurately quantifying winter precipitation, surpassing the performance of GSMaP V7 and IMERG V06. (2) Regarding the diurnal cycle feature, GSMaP V8 outperforms V7 in the eastern Qinghai-Tibetan Plateau (TP) and the southern part of northeastern China and exceeds IMERG V06 in northeastern and northern China. (3) Compared with IMERG V06, GSMaP V8 demonstrates superior agreement with gauge observations in monitoring extreme precipitation and drought events in 2022 and 2023. (4) Limitations of GSMaP V8 include a reduced capacity to accurately estimate hourly and daily precipitation over northeastern and northern China in summer compared to GSMaP V7. Additionally, it exhibits lower accuracy in estimating precipitation amounts over TP than IMERG V06. This study provides an initial assessment of GSMaP V8, highlighting insights into its strengths and weaknesses that are pivotal for choosing and utilizing satellite precipitation products in hydrometeorological applications during the GPM era.

Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes

Volcano-hazard maps are broadly recognized as important tools for forecasting and managing volcanic crises and for disseminating spatial information to authorities and people at risk. As scientists, we might presume that hazards maps can be developed at the time and with the methods of our discretion, yet the co-production of maps with stakeholder groups, who have programmatic needs of their own, can sway the timing, usability, and acceptance of map products.We examine two volcano hazard map-making efforts by staff at the U.S. Geological Survey. During the 1990s and early 2000s scientists developed a series of hazard assessments and maps with detailed zonations for volcanoes in Washington and Oregon. In 2009, the National Park Service expressed the need for simplified versions of the existing hazard maps for a high-profile visitor center exhibit. This request created an opportunity for scientists to rethink the objectives, scope, content, and map representations of hazards. The primary focus of this article is a discussion of processes used by scientists to distill the most critical information within the official parent maps into a series of simplified maps using criteria specified. We contextualize this project with information about development of the parent maps, public response to the simplified hazard maps, the value of user engagement in mapmaking, and with reference to the abundance of guidance available to the next generation of hazard-mapmakers.We argue that simplified versions of maps should be developed in tandem with any hazard maps that contain technical complexities, not as a replacement, but as a mechanism to broaden awareness of hazards. We found that when scientists endeavor to design vivid and easy-to-understand maps, people in many professions find uses for them within their organization’s information products, resulting in extensive distribution.

A Novel AI Approach for the Systematic Creation of Empathy Maps

The utilization of Empathy Maps in User Experience and Design Thinking is becoming commonplace. They can be seen as a valuable tool to help developers better understand the user’s requirements. During the interaction design, it is essential to have a thorough knowledge of what the user wants, which might be difficult to gather or portray to others. In this sense, Empathy Maps visually represent the user’s information, attitude, and behavior. Nevertheless, creating Empathy Maps can become tedious, as this usually requires the involvement of a group of people with expert knowledge, deeply analyzing the information elicited from the user. This is the reason why most Empathy Maps are created manually. A first literature analysis reports that there are still no specific tools to generate Empathy Maps automatically, although there are technologies to take on this challenge. In this paper, we present a tool for automatically generating an initial version of an Empathy Map that can help speed up the capture of explicit knowledge, and then it can be further worked on by the development team. The tool creates the Empathy Map from an audio interview, featuring audio transcription technology and natural language processing. More specifically, this paper includes the architecture, a proof of concept, and user testing, reporting numerical evidence and promising results to corroborate the proposal’s feasibility, reaching an overall accuracy of 86% at classification.

Quantifying Multipollutant Health Impacts Using the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE): A Case Study in Atlanta, Georgia.

Air pollution risk assessments do not generally quantify health impacts using multipollutant risk estimates, but instead use results from single-pollutant or copollutant models. Multipollutant epidemiological models account for pollutant interactions and joint effects but can be computationally complex and data intensive. Risk estimates from multipollutant studies are therefore challenging to implement in the quantification of health impacts. Our objective was to conduct a case study using a developmental multipollutant version of the Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) to estimate the health impact associated with changes in multiple air pollutants using both a single and multipollutant approach. BenMAP-CE was used to estimate the change in the number of pediatric asthma emergency department (ED) visits attributable to simulated changes in air pollution between 2011 and 2025 in Atlanta, Georgia, applying risk estimates from an epidemiological study that examined short-term single-pollutant and multipollutant (with and without first-order interactions) exposures. Analyses examined individual pollutants (i.e., ozone, fine particulate matter, carbon monoxide, nitrogen dioxide (), sulfur dioxide, and particulate matter components) and combinations of these pollutants meant to represent shared properties or predefined sources (i.e., oxidant gases, secondary pollutants, traffic, power plant, and criteria pollutants). Comparisons were made between multipollutant health impact functions (HIF) and the sum of single-pollutant HIFs for the individual pollutants that constitute the respective pollutant groups. Photochemical modeling predicted large decreases in most of the examined pollutant concentrations between 2011 and 2025 based on sector specific (i.e., source-based) estimates of growth and anticipated controls. Estimated number of avoided asthma ED visits attributable to any given multipollutant group were generally higher when using results from models that included interaction terms in comparison with those that did not. We estimated the greatest number of avoided pediatric asthma ED visits for pollutant groups that include (i. e., criteria pollutants, oxidants, and traffic pollutants). In models that accounted for interaction, year-round estimates for pollutant groups that included ranged from 27.1 [95% confidence interval (CI): 1.6, 52.7; traffic pollutants] to 55.4 (95% CI: 41.8, 69.0; oxidants) avoided pediatric asthma ED visits. Year-round results using multipollutant risk estimates with interaction were comparable to the sum of the single-pollutant results corresponding to most multipollutant groups [e.g., 52.9 (95% CI: 43.6, 62.2) for oxidants] but were notably lower than the sum of the single-pollutant results for some pollutant groups [e.g., 77.5 (95% CI: 66.0, 89.0) for traffic pollutants]. Performing a multipollutant health impact assessment is technically feasible but computationally complex. It requires time, resources, and detailed input parameters not commonly reported in air pollution epidemiological studies. Results estimated using the sum of single-pollutant models are comparable to those quantified using a multipollutant model. Although limited to a single study and location, assessing the trade-offs between a multipollutant and single-pollutant approach is warranted. https://doi.org/10.1289/EHP12969.

BOUNDING SURFACE COUPLED FINITE ELEMENT CONSOLIDATION ANALYSIS OF NORMALLY AND OVERCONSOLIDATED CLAYS

The radial mapping version of the bounding surface plasticity model is implemented in a computer program to predict the response of cohesive soils. The eight-noded isoparametric element and Biot’s theory are used in this study for analyzing soil consolidation problems. The model has been used in the analysis for two classes of problems. The first involves the comparison of model predictions with the results of laboratory tests in compression and extension for normally and overconsolidated clays. The second class involves using the model to predict the results of one- and two-dimensional finite element problems of soil consolidation. The comparisons with experiments demonstrate that the model, through its simplicity, can describe realistically the soil response under different monotonic loading conditions at any overconsolidation ratio. The comparison between the bounding surface plasticity model with the classical modified Cam clay model shows considerably different rates and magnitudes of settlement, and different pore pressure behavior during the consolidation process.

Visualization of students’ cognitive knowledge in digital concept mapping

<span lang="EN-US">Meaningful learning through the creation a digital concept map is the easiest way to gain cognitive knowledge, new information, and possibility how to expand among learners. Only a few empirical studies have been conducted in the field of nursing regarding learning through concept mapping to achieve higher levels of knowledge and digital skills. The study evaluated the student’s ability to visualize cognitive knowledge by creating a digital concept map. The objectives were to identify the perception using digital technologies and conceptual mapping, differences and relationships between gender, age, years of study, and branches. We used the ContextMinds program map creation. There were 92 Slovak students of nursing, public health and physiotherapy participated in the study. Data were collected and analyzed using IBM SPSS version 25.0. Perception of learning using digital concept mapping strategy was assessed using descriptive statistics, where paired t-test, analysis of variance (ANOVA) and Chi-square were used. The study found a positive perception of creating the digital concept map, but a low level of digital skills. First-year students took one or more weeks to submit the final version of the concept map in comparison to third-year students who took one or more hours. For second-year students, a creation of a concept map was less problematic than for first-year students. Students prefer standard teaching and learning methods. Healthcare absolvents are required to be proficient in digital literacy. Applying cognitive knowledge to create a digital concept map is a challenging strategy procedure.</span>

A systems framework for implementing healthy food retail in grocery settings

BackgroundFood retailers can be reluctant to initiate healthy food retail activities in the face of a complex set of interrelated drivers that impact the retail environment. The Systems Thinking Approach for Retail Transformation (START) is a determinants framework created using qualitative systems modelling to guide healthy food retail interventions in community-based, health-promoting settings. We aimed to test the applicability of the START map to a suite of distinct healthy food marketing and promotion activities that formed an intervention in a grocery setting in regional Victoria, Australia.MethodsA secondary analysis was undertaken of 16 previously completed semi-structured interviews with independent grocery retailers and stakeholders. Interviews were deductively coded against the existing START framework, whilst allowing for new grocery-setting specific factors to be identified. New factors and relationships were used to build causal loop diagrams and extend the original START systems map using Vensim.ResultsA version of the START map including aspects relevant to the grocery setting was developed (“START-G”). In both health-promoting and grocery settings, it was important for retailers to ‘Get Started’ with healthy food retail interventions that were supported by a proof-of-concept and ‘Focus on the customer’ response (with grocery-settings focused on monitoring sales data). New factors and relationships described perceived difficulties associated with disrupting a grocery-setting ‘Supply-side status quo’ that promotes less healthy food and beverage options. Yet, most grocery retailers discussed relationships that highlighted the potential for ‘Healthy food as innovation’ and ‘Supporting cultural change through corporate social responsibility and leadership’.ConclusionsSeveral differences were found when implementing healthy food retail in grocery compared to health promotion settings. The START-G map offers preliminary guidance for identifying and addressing commercial interests in grocery settings that currently promote less healthy foods and beverages, including by starting to address business outcomes and supplier relationships.

New versions of maps and connected spaces via supra soft sd-operators.

In this manuscript we use novel types of soft operators to define new approaches of soft maps in the frame of supra soft topologies (or SSTSs), namely supra soft somewhere dens continuous (or SS-sd-continuous), SS-sd-open and SS-sd-closed maps. With the help of SS-closure (interior) operators and SS-sd-closure (interior) operators we succeed to introduce many equivalent conditions and several important properties to these notions. To name a few: We prove that there is an one to one between the SS-sd-open and SS-sd-closed maps under a bijective soft map, supported by counterexample to confirm the necessity of the bijectivity condition. Furthermore, we present the concept of SS-sd-separated sets with intersected characterizations, as a prelude to studying the connectedness in a supra soft topological space (or SSTS). Moreover, we show that, there is no priori relationship between supra soft-sd-connectedness in an SSTS and its parametric supra topological spaces in general, supported by concrete counterexamples. Finally, we prove that the image of an SS-sd-connected set under an SS-sd-irresolute map is an SS-sd-connected.

‘Mãos amigas’: comunidades intencionais e desenvolvimento de capital social. Dados de Portugal

ABSTRACT Introduction: Building upon the theoretical frameworks of Pierre Bourdieu and Nan Lin regarding social capital, this study examined the capacity of two Portuguese intentional communities (ICs) to cultivate and promote social capital. Our goal was to assess the decommodification potential of these alternative social structures and their role in mitigating social inequality. Materials and methods: Our data collection involved a combination of participant observation and semi-structured interviews. Additionally, we employed slightly adapted versions of social capital mapping and measurement techniques, incorporating the identification of contacts with prestigious positions/occupations (Position-Generator) and access to relevant resources (Resource-Generator). Results: Our findings indicate that social networks developed in the context of intentional communities can play a crucial role in promoting the accumulation of economic benefits and human capital, as well as in fostering the development of social identity and offering emotional support. However, notable disparities emerged between the two case studies concerning their capacity to reduce market dependence and the value of the different forms of mobilized social capital. In one instance, community economies based on collective, profitable activities effectively addressed basic needs through communal labour. Conversely, in the other case, while community economies based on individual enterprises reduced the personal costs associated with meeting basic needs, this led to increased dependence on external, temporary employment. Within this context, individual social capital, such as intra-community relationships, emerges as pivotal for securing economic gains, such as enhanced employability and the acquisition of new skills. Discussion: The internal structure of intentional communities directly impacts the development of social capital and the reduction of market dependence, thereby playing a crucial role in promoting equality and inclusion. While intentional communities offer emotional benefits, they may also present barriers to entry for individuals with limited financial resources. Continued longitudinal studies are essential to assess whether the initial diversity within these communities translates into social equality and to identify the contributing factors to such outcomes.

Common Fixed Points of Generalized α-Nonexpansive Multivalued Mappings via Modified S-Type Iteration

In this paper, we introduce a class of generalized α-nonexpansive multivalued mapping and study some of its important properties. In particular, this class is a multivalued version of the single-valued nonexpansive mapping, called generalized α-nonexpansive mapping proposed by Pant and Shukla [11]. A modified S-type iteration scheme is proposed to approximate the common fixed point of two multivalued mappings. Our algorithm provides a multivalued extension of the method given by Khan et al. [6]. Strong and weak convergence of the iterative process are also proved under suitable assumptions.

Estimation of health-related and economic impacts of PM2.5 in Arak, Iran, using BenMAP-CE.

Ambient air quality is one of the most critical threats to human health. In this study, the health and economic benefits of reducing PM2.5 were estimated in the city of Arak during the period of 2017-2019. The concentration data were obtained from the Environmental Protection Organization of Central Province, while the demographic data were obtained from the website of the Iran Statistics Center. The number of premature deaths from all causes, ischemic heart disease, chronic obstructive pulmonary disease, and lung cancer, attributable to PM2.5 pollution was estimated using the Environmental Benefits Mapping and Analysis Program-Comprehensive Version (BenMAP_CE) to limit the guidelines of the World Health Organization. The results showed that improving air quality in 2017, 2018, and 2019 in Arak could prevent the deaths of 729, 654, and 460 people, respectively. The number of years of life lost (YLL) in 2017, 2018, and 2019 was 11383, 10362, and 7260 years, respectively. The total annual economic benefits of reducing the PM2.5 concentration in Arak under the proposed scenarios in 2017, 2018, and 2019 were estimated to be 309,225,507, 262,868,727, and 182,224,053 USD, respectively, using the statistical life method (VSL). Based on the results of this study, there are significant health and economic benefits to reducing PM2.5 concentrations in Arak City. Therefore, planning and adopting control policies to reduce air pollution in this city are necessary.