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The article discusses the navigating manuscript rejection. Topics include the study demonstrating how common manuscript rejection is among faculty of all academic ranks in hopes to normalize rejection and open conversations about rejection in mentorship; approach, innovations related to the study design, and reason for the rejection of the study to quantify on the fate of manuscripts.

Objective: We sought to understand the relative impact of fielding mode on response rate among public health alumni. Methods: As part of the 2021 Career Trends Survey of alumni from the University of Minnesota School of Public Health, we designed a fielding mode experiment to ascertain whether a paper survey, a postcard with a custom survey link ("postcard push-to-web"), a mobile telephone call or text (mobile), or an email invitation would garner the highest response rates. Invitations were randomly assigned from available contact information. Results: Of 8531 alumni invited, 1671 alumni (19.6%) completed the survey. Among the initial fielding modes, the paper survey had the highest response rate (28%), followed by mobile (19%), email (10%), and postcard push-to-web (10%). More robust recent engagement with alumni relations, paper survey invitation or mode switch, and recent graduation were all significantly associated with a higher likelihood of response. Conclusions: Paper and mobile invitations had the highest response rates to our survey among public health alumni. Findings from this fielding mode experiment are relevant to schools and programs of public health seeking to capture similar information among their alumni, especially given current trends in investment in the public health workforce. [ABSTRACT FROM AUTHOR]

This paper investigates the ability of several generalized Bayesian vector autoregressions to cope with the extreme COVID-19 observations and discusses their impact on prior calibration for inference and forecasting purposes. It shows that the preferred model interprets the pandemic episode as a rare event rather than a persistent increase in macroeconomic volatility. For forecasting, the choice among outlier-robust error structures is less important, however, when a large cross-section of information is used. Besides the error structure, this paper shows that the standard Minnesota prior calibration is an important source of changing macroeconomic transmission channels during the pandemic, altering the predictability of real and nominal variables. To alleviate this sensitivity, an outlier-robust prior calibration is proposed. [ABSTRACT FROM AUTHOR]

Karen Sames was born and raised in Milwaukee, WI. From an early age, she was surrounded by art. An experience with occupational therapy during the third grade jumpstarted her journey connecting art to occupation. Karen believes that art is a necessary part of life and credits much of her own personal success with art to her friends and family for their inspiration and to the instructors at the Eagan Art House in Minnesota. Her piece "Cherry Blossoms," a pastel on paper, is based on a photograph taken by her son, who is currently living in Japan, and graces the cover of the Spring 2024 edition of The Open Journal of Occupational Therapy (OJOT). [ABSTRACT FROM AUTHOR]

Purpose: The Child Friendly Cities Initiative (CFCI) is a UNICEF framework based on the UN Convention on the Rights of the Child (CRC). CFCI was launched globally in 1996 to protect children's rights throughout the world. There are child friendly cities in over 44 countries around the globe, but none presently in the United States. The purpose was to establish a Child Friendly City in the United States. Description: Child friendly cities are a child-rights and equity-based approach designed to ensure all children in a community reach their full potential for optimal health, development, and well-being. The paper discusses the development of the guiding principles of the CFCI-Minneapolis Model as well as a community needs assessment. Assessment: The assessment consisted of a digital survey of 60 questions on the SurveyMonkey platform. The sample included 173 Minneapolis youth 10-18 years of age and 85 parents with children less than five years of age. The participants were drawn from four of the 83 Minneapolis neighborhoods that had the highest concentration of children and youth, communities of color, and immigrant families that have historically been under resourced. Conclusion: The results of the community assessment guided the development of four programmatic initiatives. These included child rights learning & awareness, emergency preparedness & planning, community safety, and youth participation in decision making. The paper concludes with the lesson learned to date in the implementation of the CFCI-Minneapolis Model. These include partnership, dedication, leadership, community engagement, coalition building, and celebrating success. CFCI-Minneapolis received full designation from UNICEF USA as a child friendly city in February 2024. [ABSTRACT FROM AUTHOR]

Traffic accidents are a leading cause of premature death for citizens, with millions of injuries and fatalities occurring annually. Due to the fact that a large proportion of accidents are caused by red light running, reduction of the frequency of red light running (RLR) has been extensively researched in recent years. However, most of the previous studies have focused on reducing RLR frequency through driver education or warning sign design, with little attention paid to the relationship between RLR behavior and traffic signal control. Considering RLR is significantly affected by the number of vehicles arriving during yellow, it is possible to identify RLR behaviors in advance by analyzing data on yellow-arriving vehicles. Meanwhile, based on the strong correlation between yellow arriving and RLR frequency, it is possible to reduce RLR by traffic signal control. In this paper, we propose a quantitative model of correlation between RLR frequency and yellow light arrival based on high-resolution traffic and signal event data from Twin Cities, Minnesota. On this basis, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is implemented to find trade-offs between minimizing the RLR frequency and the traffic delay. A case study of a 6-intersection arterial road reveals that in unsaturation, saturation, and supersaturation flow, our approach can converge to a Pareto optimal front in 30–50 iterations, which shows that is possible to simultaneously reduce RLR frequency and enhance traffic efficiency safety, which is conducive to ensuring the life safety of traffic participants. [ABSTRACT FROM AUTHOR]

Jane Frazee, an American music educator, administrator, and author has contributed to music education in the United States. This article surveys the impact of her efforts from 1960 to 2015. A pioneer member and past president of the American Orff-Schulwerk Association (AOSA), she taught music to children and adults using the Orff approach and has presented at workshops, clinics, and conferences throughout the United States, as well as internationally. She authored several books and Orff arrangement collections, and her articles have been published in prestigious professional journals and other publications. This paper addresses Frazee's early life, training, influential individuals, teaching of children and adults, and her work with AOSA. Her roles in the founding and administration of Orff certification and graduate programs in music education in Minnesota are discussed. Lastly, Frazee's role as an author and the influences of her publications on music educators in the United States were also examined. Although retired from teaching and administration, Frazee continues to publish and inspires current and future generations of music educators. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is Available in the Text. Introduction.: High-quality patient care requires that providers understand and optimize each health care team member's roles and responsibilities. Review of Literature.: The purpose of this paper was to examine the contemporary knowledge and perceptions of physical therapist (PT) practice and education held by advanced practice interprofessional (IP) team members, including physicians, physician assistants (PAs), and advanced practice registered nurses (APRNs). Subjects.: Physicians, PAs, and APRNs licensed in the state of Minnesota. Methods.: Eligible individuals were invited to participate in an online survey assessing understanding of PT practice and education. Descriptive and nonparametric statistical analyses were used to evaluate respondent demographics, practice characteristics, and perceptions and knowledge of PT education and practice. Results.: Survey responses were analyzed from 442 respondents including 210 APRNs, 182 physicians, 48 PAs, and 2 clinicians of unknown profession. Results demonstrated that most referring providers did not learn about physical therapy during their academic or posttraining education. Those who interacted with PTs more frequently perceived greater benefit for their patients, tended to refer to PTs more often, and demonstrated greater knowledge of PT practice. Poorly understood areas of PT practice and education included PT practice settings, specialties, salary, level of education, and the ability to see patients through direct access. Discussion and Conclusion.: Multiple areas of poor provider knowledge regarding PT education and practice were identified; many unchanged from the literature in the 1980s. Three main areas of growth were identified from which actionable recommendations are made: increase IP interactions with PTs, address areas of poor understanding of PT education and scope, and maximize shifting perceptions of PTs through education and advocacy. This paper illustrates that PT education and practice are not well understood by referring providers, posing a threat to IP collaboration. A lack of collaboration may hinder patient and system outcomes because of suboptimal provider utilization. [ABSTRACT FROM AUTHOR]

The risk of nitrate contamination became a reality for Fairmont in Minnesota, when water rich in NO3-N exceeded the drinking water standard of 10 mg/L. This was unexpected because this city draws its municipal water from a chain of lakes that are fed primarily by shallow groundwater under row-crop land use. Spring soil thaw drives cold water into a subsurface pipe where almost no NO3-N reduction occurs. This paper focuses on NO3-N reduction before the water enters the lakes and no other nitrogen management practices in the watershed. A novel denitrifying bioreactor was constructed behind a sediment forebay, which then flowed into a chamber covered by a greenhouse before entering a woodchip bioreactor. In 2022 and 2023, water depth, dissolved oxygen, and temperature were measured at several locations in the bioreactor, and continuous NO3-N was measured at the entry and exit of the bioreactor. The results showed better performance at a low water depth with lower dissolved oxygen and higher water temperature. The greenhouse raised the inlet temperature in 2022 but did not in 2023. The forebay and the greenhouse may have impeded the denitrification process due to the high dissolved oxygen concentrations in the influent and the stratification of dissolved oxygen caused by algae in the bioreactor. [ABSTRACT FROM AUTHOR]

We analyze overall mortality in the U.S. as a whole and several states in particular in order to make conclusions regarding timing and strength of COVID pandemic effect from an actuarial risk analysis perspective. No effort is made to analyze biological or medical characteristics of the pandemic. We use open data provided by CDC, U.S. state governments and Johns Hopkins University. In the first part of the paper, we suggest time series analysis (ARIMA) for weekly excess U.S. mortality in 2020 as compared to several previous years' experience in order to build a statistical model and provide short-term forecast based exclusively on historical mortality data. In the second half of the paper, we also analyze weekly COVID cases, hospitalizations and deaths in 2020 and 2021. Two midwestern states, Minnesota and Wisconsin, along with geographically diverse Colorado and Georgia, are used to illustrate global and local patterns in the COVID pandemic data. We suggest vector autoregression (VAR) as a method of simultaneous explanatory and predictive analysis of several variables. VAR is a popular tool in econometrics and financial analysis, but it is less common in problems of risk management related to mortality analysis in epidemiology and actuarial practice. Efficiency of short-term forecast is illustrated by observing the effect of vaccination on COVID development in the state of Minnesota in 2021. [ABSTRACT FROM AUTHOR]

While the majority of adults across the United States report that they believe that global warming is happening, far fewer report discussing global warming (Howe et al., 2015, https://doi.org/10.1038/nclimate2583; Marlon et al., 2022, https://climatecommunication.yale.edu/visualizations‐data/ycom‐us/). One way to inspire further climate action and engagement is to increase individuals' capacity to confidently and effectively discuss climate change. Climate communication science highlights that such communication is most effective when it is anecdotal, narrative, tailored to the audience, and place‐based. To generate climate conversations and inspire action in a variety of communities, partners at the University of Minnesota Extension piloted a program to train community members from across the state of Minnesota in effective climate communication through a series of instructional workshops, coaching, and participant‐led communication activities. Following the training portion of the program, participants identified and hosted their own climate‐related communication activities in their communities. These "climate conversations" took place across Minnesota and included community events, dialogue with elected leaders, and conversations stimulated through literature, among other activities. In their communities, program participants sparked conversations, initiated long‐term climate action efforts, and improved their sense of efficacy in response to climate change. Participants also reported that they improved their climate conversation skills, increased their local climate knowledge, established a support network with fellow participants, had reduced anxiety around communicating, and increased their confidence in being able to communicate about climate change in their communities. This pilot program provides a framework for future cohort‐ and community‐based climate communication programs in the state and beyond. Plain Language Summary: More frequent, effective climate conversations initiated by a diversity of trusted voices can help to increase climate concern and desire for action at the community level. However, in the United States, there is a disconnect between the level of concern individuals have about climate change and the extent to which individuals talk about the issue. To help bridge this gap, the University of Minnesota Climate Adaptation Partnership developed a training program aimed at inspiring and equipping local community members across Greater Minnesota with the skills and confidence to have effective conversations about climate change in their communities. This paper summarizes the programmatic activities we used to support our goals, and some reflections on the program's results. This pilot program provides a framework for future efforts that can be facilitated by Extension programs, community‐based organizations, universities, and others to inspire and accelerate similar community‐centered climate conversations. Key Points: We piloted a training program to teach Minnesotans to effectively communicate about climate change and its impacts on their communitiesParticipants improved behavioral and conversation skills to communicate about climate change more effectivelyThis program provides a framework for future programs aimed at increasing the diversity of people engaging in local climate conversations [ABSTRACT FROM AUTHOR]

In this study, we assess COVID-19-related mortality in Minnesota and Wisconsin with the aim of demonstrating both the temporal dynamics and the magnitude of the pandemic's influence from an actuarial risk standpoint. In the initial segment of this paper, we discuss the methodology successfully applied to describe associations in financial and engineering time series. By applying time series analysis, specifically the autoregressive integrated with moving average methods (ARIMA), to weekly mortality figures at the national or state level, we subsequently delve into a marginal distribution examination of ARIMA residuals, addressing any deviation from the standard normality assumption. Thereafter, copulas are utilized to architect joint distribution models across varied geographical domains. The objective of this research is to offer a robust statistical model that utilizes observed mortality datasets from neighboring states and nations to facilitate precise short-term mortality projections. In the subsequent section, our focus shifts to a detailed scrutiny of the statistical interdependencies manifesting between Minnesota and Wisconsin's weekly COVID-19 mortality figures, adjusted for the time series structure. Leveraging open-source data made available by the CDC and pertinent U.S. state government entities, we apply the ARIMA methodology with subsequent residual distribution modeling. To establish dependence patterns between the states, pair copulas are employed to articulate the relationships between the ARIMA residuals, drawing from fully parametric models. We explore several classes of copulas, comprising both elliptic and Archimedean families. Emphasis is placed on copula model selection. Student t-copula with the marginals modeled by non-standard t-distribution is suggested for ARIMA residuals of Minnesota and Wisconsin COVID mortality as the model of choice based on information criteria and tail cumulation. The copula approach is suggested for the construction of short-term prediction intervals for COVID-19 mortality based on publicly available data. [ABSTRACT FROM AUTHOR]

The medicalisation of marijuana has occurred rapidly, albeit nonuniformly, across the US and around the world over the past 3 decades. This paper centres on the medicalisation of marijuana in Minnesota—which has one of the most restrictive programs in the country—as a case for evaluating the negotiation of institutional boundaries with the shift from criminalisation to medicalisation after nearly a century of criminal prohibition. Drawing upon Foucauldian discourse analyses of the medical and law enforcement associations' position statements and legislative hearings that shaped medical marijuana policy in Minnesota, this paper demonstrates a symbiotic convergence between medicine and law enforcement through the deployment of shared discursive strategies in their opposition to medical marijuana that reinforce marijuana's criminalised status by solidifying the boundaries between proper medicine and dangerous drugs. Criminal justice and medical institutions draw upon one another's definitions, logics, and practices in a mutually constitutive manner, while still maintaining distinct user subjects and institutional interventions for each based on the user's access to state‐approved forms of marijuana. The consequences for the governing of marijuana in Minnesota are explored, as well as the broader implications for the sociological study of medicalisation and criminalisation with respect to the governance of drugs and health. [ABSTRACT FROM AUTHOR]

We detail our experience running an annual four-day workshop at the University of Minnesota, called the Mathematics Project at Minnesota (MPM). The workshop is for undergraduates who come from groups underrepresented in mathematics and aims to increase the participation and success of such groups in the mathematics major at the University. In this paper, we explain how MPM is organized, discuss its objectives, and highlight some of the sessions that we feel are emblematic of the program's success. The paper concludes with an analysis of achievements and obstacles in the programs' first three years. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic ushered in a dramatic shift to online learning for K-12 public schools, requiring school districts to address inequities that surfaced in the remote learning model. This paper includes the findings of the second study of a multi-year research project exploring the intersection of technology and educational inequities through the pandemic. As the pandemic waned, practitioners evaluated which practices developed during remote learning should be sustained. Five Minnesota technology directors participated in a focus group to discuss how inequities are being addressed in their schools post-pandemic. Technology directors explained that the pandemic was an opportunity to reimagine schools for the success of all students through an infrastructure that includes actions relative to three domains: effective instruction, school-home partnerships, and law and policy. Further research is recommended, such as broadening the geographical location of participants outside of Minnesota, expanding participants beyond the role of technology director (i.e., students, teachers, parents), and analyzing student enrollment in K-12 online schools through a longitudinal study. [ABSTRACT FROM AUTHOR]

In the United States, prevailing wage laws authorize minimum remuneration by locality and occupation for public construction. The policy's goal of leveling the playing field between local and lower wage, nonlocal builders is shared by fair wage policies in Canada and posted worker rules in the European Union. This is the first paper to test if the wage policy reduces bid disparities between these two types of contractors. The statistical analysis of over 600 subcontractor bids for schools built within the Minnesota's largest metropolitan area examines differences in low, winning bids between Minnesota-based contractors and those from neighboring states with lower average construction wages. Findings indicate that prevailing wage requirements substantially reduce bid disparity between in- and out-of-state subcontractors. Additional results illustrate estimation issues related to measuring the influence of prevailing wage laws and unionized construction labor on construction costs. [ABSTRACT FROM AUTHOR]

University of Minnesota Libraries Publishing started publishing the journals of scholarly societies in 2018. This paper provides background on the publishing context at the University of Minnesota (UMN) Libraries, discusses the service expansion to include scholarly societies, and reflects on working directly with scholarly societies. The paper will also document some of the challenges and workflows involved in publishing society journals in hopes of encouraging more library publishers to enter into publishing partnerships with societies. [ABSTRACT FROM AUTHOR]

Freshwater mussels are threatened with extirpation in North America. They are a sentinel species for ecosystem function and contribute towards many ecosystem services. As mussels require clean water to survive, and since conserving ecosystem services is implicit in the federal Clean Water Act, incorporating mussel conservation into state water policies could serve multiple conservation goals. In this paper we conduct a comprehensive critical review of three topics related to freshwater mussels: their contribution to ecosystem services, their links with water quality, and threats to their survival from water pollutants and extent of protection available from regulation. In so doing, we identify gaps between the water quality requirements of mussels and the protection provided by current water regulation to help inform clean water and conservation goals in Minnesota. We find freshwater mussels to be generally sensitive to a wide variety of pollutants, and particularly to nutrients such as total nitrogen and total phosphorus and to major ions such as chloride. In addition, we find that current state water quality standards may not be sufficiently protective of mussels. We formulate a framework for determining an effective conservation strategy for mussels in Minnesota based on ecological and economic criteria to ensure adequate conservation at a reasonable cost. [ABSTRACT FROM AUTHOR]

The heuristic-systematic model (HSM) suggests that when presented with a choice, individuals will use either heuristic or systematic processing modes to arrive at a judgment. In this paper, we evaluate the HSM model in the context of hunter perceptions toward chronic wasting disease (CWD), a neurological disease found in members of the family Cervidae that threatens the health of cervid populations and the flow of benefits humans derive from them. Data were obtained from surveys of hunters who harvested inside (N = 1500) and outside (N = 3500) of Disease Management Areas (DMAs) across the state of Minnesota with an overall response rate of ∼33%. Results suggested that self-efficacy and information sufficiency were associated with heuristic processing, while motivation was associated with systematic processing. Heuristic processing was associated with lower levels of perceived risk than systematic processing. Our results have implications for the communication efforts related to CWD management and engagement with the public. [ABSTRACT FROM AUTHOR]

Wind is an abundant, yet intermittent, source of renewable energy, with speeds changing both spatially and temporally over a wide range of time scales. While wind variability is well documented on large meteorological time scales and the behavior of turbulent flow at high frequencies is well understood, there remain questions in the literature regarding the intermediate region of these domains. Understanding wind variability at the microscale, here considering a frequency range of 10−2 Hz < f < 1 Hz, is key for wind turbine control and modeling. In this paper, we quantify the variability of wind conditions for the meteorological tower at the Eolos wind research station in Minnesota using power spectral density analysis. Spectral analysis of wind samples with similar mean wind speeds was conducted to test the hypothesis that the wind spectrum's shape is independent of the mean wind speed. Historical wind speed data were compared and evaluated to identify diurnal, seasonal, and interannual trends in the spectrum of wind at frequencies above 10−3 Hz. We conclude that the shape of the wind spectrum is independent of the mean wind speed following the Kolmogorov −5/3 law for turbulent flows for incoming wind, with some variations in slope and spectrum magnitude. While no conclusive diurnal, seasonal, or interannual trends were observed, it is shown that some variations in both slope and spectrum magnitude can occur on these time scales. [ABSTRACT FROM AUTHOR]

Objective: The Non-Opioid Pain Alleviation Information Network (NOPAINMN) project was designed to identify, consolidate, and map evidence-based non-opioid and non-pharmacological pain management complementary and integrative health (CIH) modalities for chronic pain management across Minnesota into a searchable and informational website (www.nopainmn.org ). Methods: The Academic Consortium for Integrative Medicine & Health's Pain Task Force White Paper identifying evidence-based research of non-pharmacological pain practice (NPPC) was reviewed and referenced. National and state certifying boards and accrediting organizations for NPPC modalities were accessed to identify Minnesota-based NPPC providers' name, business/health-system affiliation, address, contact information, and credentials. The NOPAINMN website displays these data in a consumer-facing website with searchable fields such as NPPC modality type, and location with varying distances. The website was β-tested by practitioners and stakeholders for optimization. Eight main NPPC modalities and their respective subcategories were identified and mapped: Acupuncture; Integrative Medical Care (Functional medicine consultation and Integrative medicine consultation); Massage Therapy; Mind–Body Therapies (Biofeedback, Clinical Hypnosis, Mindfulness-Based Stress Reduction, and Music Therapy); Movement Therapies (Tai Chi, qigong, and Yoga Therapy); Psychology (Cognitive Behavioral Therapy); Rehabilitative Therapies (Physical and Occupational Therapy); and Spinal Manipulation. Results: All information compiled resulted in 17,155 providers/practitioners. Physical Therapy had the greatest number of reported providers (n = 5224), followed by Occupational Therapy (n = 3792), Psychology (n = 3324), Chiropractic (n = 3033), Acupuncture (n = 591), and Massage Therapy (n = 544). The Resource Map included 56 major health systems, 686 facilities, 2651 solo or private group practices, and 14 academic training schools. With web-based cross-referencing, providers and facilities were affiliated and linked with health systems to produce an interconnected mapping system. β-Testing with patients found that the website was reported as relatively easy to use and informative. Conclusion: The website was created to assist individuals, health care providers, insurance carriers, and health care facilities in finding evidence-based information and resources on NPPC to guide, support, and proactively manage and engage chronic pain patients across Minnesota. [ABSTRACT FROM AUTHOR]

This paper details a critical ethnography I conducted in my own classroom--an undergraduate children's literature course for pre-service elementary educators--in which I analyze white students' emotional responses to multicultural children's literature through the lens of a cultural politics of emotion (Ahmed, 2015; Zembylas, 2008). In my paper I use critical whiteness studies and critical emotion studies to analyze the effects of these emotional responses, complicating the assumption that emotions are a bridge to empath and exploring how white emotional performativity often serves to deflect from authentic critical discourse, reinforcing white supremacy in educational spaces. I look reflexively at my own pedagogy as a white educator, noticing the ways in which my failure to critically interrogate white emotions contributed to a classroom culture that valued majority voices over the voices of students of color. I conclude with the impacts of this study on my own commitments as a teacher-researcher.

Automatic detection of traffic accidents has a crucial effect on improving transportation, public safety, and path planning. Many lives can be saved by the consequent decrease in the time between when the accidents occur and when rescue teams are dispatched, and much travelling time can be saved by notifying drivers to select alternative routes. This problem is challenging mainly because of the rareness of accidents and spatial heterogeneity of the environment. This paper studies deep representation of loop detector data using long‐short term memory (LSTM) network for automatic detection of freeway accidents. The LSTM‐based framework increases class separability in the encoded feature space while reducing the dimension of data. The experiments on real accident and loop detector data collected from the Twin Cities Metro freeways of Minnesota demonstrate that deep representation of traffic flow data using LSTM network has the potential to detect freeway accidents in less than 18 min with a true positive rate of 0.71 and a false positive rate of 0.25 which outperforms other competing methods in the same arrangement. [ABSTRACT FROM AUTHOR]

Integrated medical and social care via community health worker (CHW) services is a growing area of interest, particularly among health care organizations that offer care for underserved populations. Establishing Medicaid reimbursement for CHW services is only one step to improve access to CHW services. Minnesota is one of 21 states that authorize Medicaid payment for CHW services. Despite available Medicaid reimbursement for CHW services since 2007, the actual experience of many Minnesota health care organizations in obtaining reimbursement for CHW services has been challenging due to barriers at multiple levels (e.g., clarifying and operationalizing regulation, navigating complexity of billing, building organizational capacity to reach key stakeholders at state agencies and health plans). This paper provides an overview of the barriers and strategies to operationalize Medicaid reimbursement for CHW services in the state of Minnesota, through the experience of a CHW service and technical assistance provider. Based on lessons learned in Minnesota, recommendations are made to other states, payers, and organizations as they navigate processes to operationalize Medicaid payment for CHW services. [ABSTRACT FROM AUTHOR]

Multilevel linear models allow flexible statistical modelling of complex data with different levels of stratification. Identifying the most appropriate model from the large set of possible candidates is a challenging problem. In the Bayesian setting, the standard approach is a comparison of models using the model evidence or the Bayes factor. Explicit expressions for these quantities are available for the simplest linear models with unrealistic priors, but in most cases, direct computation is impossible. In practice, Markov Chain Monte Carlo approaches are widely used, such as sequential Monte Carlo, but it is not always clear how well such techniques perform. We present a method for estimation of the log model evidence, by an intermediate marginalisation over non-variance parameters. This reduces the dimensionality of any Monte Carlo sampling algorithm, which in turn yields more consistent estimates. The aim of this paper is to show how this framework fits together and works in practice, particularly on data with hierarchical structure. We illustrate this method on simulated multilevel data and on a popular dataset containing levels of radon in homes in the US state of Minnesota. [ABSTRACT FROM AUTHOR]

The dominant wavelength and hue angle can be used to quantify the color of lake water. Understanding the water color is important because the color relates to the water quality and its related public perceptions. In this paper, we compared the accuracy levels of two methods in calculating dominant wavelength and hue angle values using simulated satellite data calculated from in situ reflectance hyperspectra for 325 lakes and rivers in Minnesota and Wisconsin. The methods developed by van der Woerd and Wernand in 2015 and Wang et al. in 2015 were applied to simulated sensor data from the Sentinel-2, Sentinel-3, and Landsat 8 satellites. Both methods performed comparably when a correction algorithm could be applied, but the correction method did not work well for the Wang method at hue angles < 75°, equivalent to levels of colored dissolved organic matter (CDOM, a440) > ~2 m−1 or chlorophyll > ~10 mg m−3. The Sentinel-3 spectral bands produced the most accurate results for the van der Woerd and Wernand method, while the Landsat 8 sensor produced the most accurate values for the Wang method. The distinct differences in the shapes of the reflectance hyperspectra were related to the dominant optical water quality constituents in the water bodies, and relationships were found between the dominant wavelength and four water quality parameters, namely the Secchi depth, CDOM, chlorophyll, and Forel–Ule color index. [ABSTRACT FROM AUTHOR]

Objective: Given limited critical care resources and an aging population, early interventions to prevent critical illness are vital. In this work, we measured post-implementation outcomes after introducing a novel electronic scoring system (Elders Risk Assessment—ERA) and a risk-factor checklist, Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), to detect older patients at high risk of critical illness in a primary care setting. Methods: The study was conducted at a family medicine clinic in Kasson, MN. The ADAPT-ITT framework was used to modify the CERTAIN checklist for primary care during 2 co-design workshops involving interdisciplinary clinicians, held in April 2023. The ERA score and modified CERTAIN checklist were implemented between May and July 2023 and identify and assess all patients age ≥60 years at risk of critical illness during their primary care visits. Implementation outcomes were evaluated at the end of the study via an anonymous survey and EHR data extraction. Results: Fourteen clinicians participated in 2 co-design workshops. A total of 19 clinicians participated in a post-pilot survey. All survey items were rated on a 5-point Likert type scale. Mean acceptability of the ERA score and checklist was rated 3.35 (SD = 0.75) and 3.09 (SD = 0.64), respectively. Appropriateness had a mean rating of 3.38 (SD = 0.82) for the ERA score and 3.19 (SD = 0.59) for the checklist. Mean feasibility was rated 3.38(SD = 0.85) and 2.92 (SD = 0.76) for the ERA score and checklist, respectively. The adoption rate was 50% (19/38) among clinicians, but the reach was low at 17% (49/289) of eligible patients. Conclusions: This pilot study evaluated the implementation of an intervention that introduced the ERA score and CERTAIN checklist into a primary care practice. Results indicate moderate acceptability, appropriateness, and feasibility of the ERA score, and similar ratings for the checklist, with slightly lower feasibility. While checklist adoption was moderate, reach was limited, indicating inconsistent use. Recommendations: We plan to use the open-ended resurvey responses to further modify the CERTAIN-FM checklist and implementation process. The ADAPT-ITT framework is a useful model for adapting the checklist to meet the primary care clinician needs. [ABSTRACT FROM AUTHOR]

This paper analyzes the implementation of a domestic violence law in Minnesota that, in 2006, made the violation of a Domestic Abuse No-Contact Order a felony-level offense. Since this legal change, the rate of conviction for Domestic Abuse No-Contact Order felonies skyrocketed with stark racial disparities among Black and Native American residents, relative to Whites. Analysis of case files reveals that Domestic Abuse No-Contact Order convictions result from a range of behaviors, from seemingly mutual contact between the defendant and protected party to serious physical violence. We argue that the Domestic Abuse No-Contact Order law facilitates pragmatic punitiveness for legal actors. It is easier for prosecutors to demonstrate contact occurred than to prove domestic assault. Yet, the penalty for a Domestic Abuse No-Contact Order is as severe as the penalties for other domestic abuse-related crimes in Minnesota. Thus, the Domestic Abuse No-Contact Order law enables prosecutors to respond forcefully to domestic violence while avoiding additional burdens on their time and resources. [ABSTRACT FROM AUTHOR]

Porcine reproductive and respiratory syndrome (PRRS) is an extremely contagious disease that causes great damage to the U.S. pork industry. PRRS is not subject to official control in the U.S., but most producers adopt control strategies, including vaccination. However, the PRRS virus mutates frequently, facilitating its ability to infect even vaccinated animals. In this paper we analyze how increased vaccination on sow farms reduces PRRS losses and when vaccination is profitable. We develop a SIR model to simulate the spread of an outbreak between and within swine farms located in a region of Minnesota. Then, we estimate economic losses due to PRRS and calculate the benefits of vaccination. We find that increased vaccination of sow farms increases the private profitability of vaccination, and also transmits positive externalities to farms that do not vaccinate. Although vaccination reduces industry losses, a low to moderate vaccine efficacy implies that large PRRS losses remain, even on vaccinated farms. Our approach provides useful insight into the dynamics of an endemic animal disease and the benefits of different vaccination regimens. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic illuminated the need for schools to strengthen their relationships with families in order to support remote learning. Framed with the theoretical lens of the traditional partnership model, this paper details the results of a survey completed by 56 Minnesota district level technology directors. The survey asked how school districts were responding to the technology needs of students and families while in hybrid and distance learning models. Three main themes emerged from the survey data: maximizing caregiver support to improve student learning, increasing attendance and engagement in the online learning environment, and building technology savviness in parents and caregivers. Recommendations for further research include the formation of focus groups with technology directors from Minnesota and beyond. As a growing number of districts offer online schools and there is an increase in families choosing to sustain online learning, it is important to discover how schools and homes can continue to partner together in support of student learning. [ABSTRACT FROM AUTHOR]

This paper presents a case study of sentencing policy in the adjoining, and demographically and culturally similar, states of Minnesota and Wisconsin. Using administrative data, together with historical and legal analyses of sentencing policy in each state, it (1) argues that the destabilization of the penal order represented a critical juncture during which commission‐based, presumptive sentencing guidelines were an option in both states; (2) analyzes how the decision to adopt this guidelines system in Minnesota and the failure to do so in Wisconsin initiated path‐dependent processes, making it difficult to reverse the initial policy choice; and (3) assesses how these distinct policy paths led to different penal outcomes. A concluding section discusses how analyses of path dependency shed light on the state variation in sentencing policy and provide a framework for assessing the possibilities of, and obstacles to, penal reform. [ABSTRACT FROM AUTHOR]

Background: In-person directly observed therapy (DOT) is standard of care for tuberculosis (TB) treatment adherence monitoring in the US, with increasing use of video-DOT (vDOT). In Minneapolis, vDOT became available in 2019. Objective: In this paper, we aimed to evaluate the use and effectiveness of vDOT in a program setting, including comparison of verified adherence among those receiving vDOT and in-person DOT. We also sought to understand the impact of COVID-19 on TB treatment adherence and technology adoption. Methods: We abstracted routinely collected data on individuals receiving therapy for TB in Minneapolis, MN, between September 2019 and June 2021. Our primary outcomes were to assess vDOT use and treatment adherence, defined as the proportion of prescribed doses (7 days per week) verified by observation (in person versus video-DOT), and to compare individuals receiving therapy in the pre-COVID-19 (before March 2020), and post-COVID-19 (after March 2020) periods; within the post-COVID-19 period, we evaluated early COVID-19 (March-August 2020), and intra-COVID-19 (after August 2020) periods. Results: Among 49 patients with TB (mean age 41, SD 19; n=27, 55% female and n=47, 96% non-US born), 18 (36.7%) received treatment during the post-COVID-19 period. Overall, verified adherence (proportion of observed doses) was significantly higher when using vDOT (mean 81%, SD 17.4) compared to in-person DOT (mean 54.5%, SD 10.9; P=.001). The adoption of vDOT increased significantly from 35% (11/31) of patients with TB in the pre-COVID-19 period to 67% (12/18) in the post-COVID-19 period (P=.04). Consequently, overall verified (ie, observed) adherence among all patients with TB in the clinic improved across the study periods (56%, 67%, and 79%, P=.001 for the pre-, early, and intra-COVID-19 periods, respectively). Conclusions: vDOT use increased after the COVID-19 period, was more effective than in-person DOT at verifying ingestion of prescribed treatment, and led to overall increased verified adherence in the clinic despite the onset of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

The threat of anthropogenic eutrophication and harmful algal blooms in lakes requires the development of innovative stormwater best management practices (BMPs) to reduce the external loading of phosphorus (P). This paper presents the findings of a 5-year study of a full-scale P removal structure constructed in Minnesota, USA with spent lime drinking water treatment residual (DWTR), a by-product of water softening at a local water treatment plant. Influent and effluent water samples were collected by auto-samplers during 43 storm events during the growing season. Samples were analyzed for P constituents, heavy metals, total suspended solids (TSS), and pH. Toxicity of the effluent was assessed using Ceriodaphnia dubia. Flow-weighted removal effectiveness was calculated for each storm event. Overall, the spent lime DWTR reduced total P loading by 70.9%, dissolved reactive P by 78.5%, dissolved P by 74.7%, and TSS by 58.5%. A significant reduction in heavy metals was also observed. Toxicity tests indicated the aquatic toxicity of the effluent treated with spent lime DWTR was not different from untreated stormwater. This study provided long-term real-world data that demonstrated that a full-scale P removal structure with spent lime DWTR significantly reduced P and other pollutants in stormwater discharging to an urban lake. Therefore, spent lime DWTR, which is currently treated as a waste product, is a promising filter material for stormwater treatment. [ABSTRACT FROM AUTHOR]

The means to accurately monitor wetland change over time are crucial to wetland management. This paper explores the applicability of LandTrendr, a temporal segmentation algorithm designed to identify significant interannual trends, to monitor wetlands by modeling surface water presence in Minnesota from 1984 to 2019. A time series of harmonized Landsat and Sentinel-2 data in the spring is developed in Google Earth Engine, and calculated to sub-pixel water fraction. The optimal parameters for modeling this time series with LandTrendr are identified by minimizing omission of known surface water locations, and the result of this optimal model of sub-pixel water fraction is evaluated against reference images and qualitatively. Accuracy of this method is high: overall accuracy is 98% and producer's and user's accuracies for inundation are 82% and 88% respectively. Maps summarizing the trendlines of multiple pixels, such as frequency of inundation over the past 35 years, also show LandTrendr as applied here can accurately model long-term trends in surface water presence across wetland types. However, the tendency of omission for more variable prairie pothole wetlands and the under-prediction of inundation for small or emergent wetlands suggests the algorithm will require careful development of the segmented time series to capture inundated conditions more accurately. [ABSTRACT FROM AUTHOR]

Substance use disorders (SUD) pose emotional, mental, and physical threats to persons worldwide. There is a paucity of research focused on capturing individual perspectives on supports and barriers to recovery from a SUD. This need has been identified in areas of Minnesota where a gap in evidence-based substance use support exists. A team of interdisciplinary professionals distributed a qualitative survey assessing supports and barriers to SUD recovery within recovery circles in order to inform the efforts of local organizations. This paper and online access survey was adapted from an existing survey created by Faces and Voices of Recovery. The online survey was accessed by a link and distributed to persons in recovery across Minnesota over 7 months. Data from this survey were analyzed through a consensual qualitative research (CQR) coding method. Notable themes emerged in the following domains: healthcare, environment, individual, and community. Community-wide stigma was an overarching concern, and the study yielded unique insights into stigma within healthcare and the community at-large. Barriers and support to recovery were reported. Barriers included experiencing high levels of stigma and identifying a need for community education on SUDs and recovery. Support included local recovery groups, peer recovery support, and access to healthcare and medication. Our findings illuminate the needs of the recovery community from the perspective of individuals with lived experience and will inform local organizations in specifying resources to help meet the identified needs. This survey may also be adapted and used around the world to inform substance use prevention, treatment, and recovery programing. [ABSTRACT FROM AUTHOR]

Under a warming climate, the southern boreal forest of North America is expected to see a doubling in fire frequency and potential for increased wind disturbance over the next century. Although boreal forests are often considered fire‐adapted, projected increases in disturbance frequency will likely result in novel combinations of disturbances with severities and impacts on community composition outside historic norms. Using a network of repeatedly measured vegetation monitoring plots, we followed changes in tree community composition in areas of the Boundary Waters Canoe Area Wilderness (BWCAW), in Minnesota, USA, experiencing disturbances ranging from severe windstorms or wildfires to areas affected by wind followed by fire or multiple fires within a short period of time. Using nonmetric multidimensional scaling ordination, hierarchical cluster analysis, and permutational analysis of variance, we compared successional pathways across different disturbance types and combinations to test whether multiple disturbances had altered successional pathways or caused greater convergence relative to single disturbances. We found that multiple disturbances often resulted in strong shifts toward wind‐dispersed early‐successional tree species, while single disturbances tended to have multiple successional pathways that favored both late‐ and early‐successional species. All disturbances in our study resulted in significant shifts in composition, but we generally failed to find statistical evidence of changes in community dispersion. Although boreal forests appear to be somewhat resilient to multiple disturbance events, multiple disturbances resulted in post‐disturbance tree communities that were heavily dominated by disturbance‐adapted deciduous trees at the expense of conifers. Our results demonstrate that multiple disturbances are capable of altering successional pathways relative to single disturbance events and that increasingly frequent disturbances are likely to alter boreal forest structure and composition, perhaps leading to a forest region strikingly unlike that of today. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Pulmonary hypertension (PH) is related to a variety of symptoms like dyspnea at rest, fatigue and exercise intolerance, all of which have a detrimental influence on patients' quality of life (QOL). Disease-specific health-related QOL (HRQOL) questionnaires are useful tools to objectively estimate the functional and psychological status of PH patients. The purpose of this study was to identify potential factors affecting physical and mental HRQOL in patients with precapillary PH. METHODS: We conducted a prospective cross-sectional analysis of HRQOL questionnaires in individuals with precapillary PH (PH-Groups 1, 3, or 4) using the Short form 36-item health survey (SF-36) and the Minnesota living with pulmonary hypertension questionnaire (MLHF-PH). Between January and February 2019, 73 consecutive patients, being followed up in two Greek PH centers, being clinically stable at the last three months and receiving PHspecific therapies based on the European PH Guidelines, completed both questionnaires. RESULTS: Patients with PH due to lung disease (PH-Group 3) presented significantly worse scores on MLHF-PH and significantly reduced scores in SF- 36 'physical functioning' and 'role physical' compared to the other PH-Groups. These patients were more frequently under oxygen therapy (p<0.001) and had a more advanced WHO FC (p=0.01). Oxygen treatment, WHO FC, 6MWD, and hemodynamic variables were also strongly associated with HRQOL. Patients receiving triple combination PH-therapy reported lower HRQOL scores. CONCLUSIONS: Patients with precapillary PH had impaired QOL. Those with PH due to lung disease reported the worst scores in HRQOL instruments. Several clinical, functional and hemodynamic factors were associated with reduced QOL. [ABSTRACT FROM AUTHOR]

Aim: To assess the effectiveness of an infection control protocol developed to mitigate the spread of COVID-19 at two multi-week residential summer camps in 2021. Subject and methods: Data were collected from 595 camp attendees and staff members at two wilderness camps in Northern Minnesota. Testing was undertaken in all unvaccinated campers before arrival at camp, on day 4 of camp, and in the event of respiratory symptoms. Campers were limited to cohorts during the first 4 days of camp and wore masks indoors. The number of positive COVID-19 cases measured the efficacy of the protocol. Results: The testing and cohorting protocol successfully prevented the spread of COVID-19 among campers and staff. During the first summer session, there were zero positive cases of COVID-19 among 257 campers and 127 staff. During the second summer session, compliance with the protocol limited the spread of COVID-19 to just three individuals of 266 campers and 129 staff. Maintaining cohorts at arrival limited spread from a single positive case to only two tent companions. Conclusion: The testing and cohorting protocol limited the spread of COVID-19 among residential summer wilderness campers and staff. Post-arrival testing ensured newly acquired virus was limited in spread before COVID-19 precautions were relaxed on camp day 5. A strict evidence-based cohorting protocol limited in-camp spread and allowed for a successful summer camp season. The usefulness of this protocol with an evolving pandemic, increasing vaccination rates, and virus variants could have implications for future practice. [ABSTRACT FROM AUTHOR]

Public geospatial data (geodata) is created at all levels of government, including federal, state, and local (county and municipal). Local governments, in particular, are critical sources of geodata because they produce foundational datasets, such as parcels, road centerlines, address points, land use, and elevation. These datasets are sought after by other public agencies for aggregation into state and national frameworks, by researchers for analysis, and by cartographers to serve as base map layers. Despite the importance of this data, policies about whether it is free and open to the public vary from place to place. As a result, some regions offer hundreds of free and open datasets to the public, while their neighbors may have zero, preferring to restrict them due to privacy, economic, or legal concerns. Minnesota relies on an approach that allows counties to choose for themselves if their geodata is free and open. By contrast, its neighboring state of Wisconsin has passed legislation requiring that specific foundational geospatial datasets created by counties must be freely available to the public. This paper compares the implications and outcomes of these diverging data cultures. [ABSTRACT FROM AUTHOR]

Background: In 2019, Navigant Healthcare published research showing that 1 in 5 rural hospitals in Minnesota are at risk of closing as they are not financially sustainable. With 26.7% of Minnesota's population being rural, this is particularly worrisome. A substantial cost to rural hospitals is affording the installation, maintenance, and operation of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) machines. In light of the serious pressures on rural hospitals, the aim of this paper is to investigate if a disparity exists in MRI and CT machine accessibility among Minnesota's urban and rural county hospitals. Design and methods: Hospitals of Minnesota were contacted and asked how many MRI and CT machines they carried at their facility. This information was compiled in an excel sheet and cross referenced to the county it resided along with the counties: population, rural-urban commuting area (RUCA) classification and land area in square mileage. Results: It was found that the state of Minnesota compared well to the national average in terms of persons and square mileage per MRI and CT machine. When comparing counties of Minnesota by their RUCA classification, a disparity is found in rural counties with regards to square mileage per CT and MRI machine. Conclusions: With distance for service creating a barrier to accessibility, rural county residents would benefit from more inhospital MRI and CT machines. With these findings, it is pertinent further research is conducted to investigate the potential vulnerability of other rural populations with regards to accessibility to radiologic resources. [ABSTRACT FROM AUTHOR]

Increased awareness of oral health disparities in the United States has highlighted the need to expand the workforce and access to both primary and preventive dental care. Achieving oral health equity will require new dental team members with appropriate clinical skills dedicated to reaching historically marginalized populations through intra and interprofessional practice. Collective efforts by health care advocates in Minnesota led to legislation that created a dental hygiene-based workforce model inspired by the vision and foresight of the American Dental Hygienists' Association's "Advanced Dental Hygiene Practitioner." In July 2023, there were 141 licensed dental therapists and 99 certified advanced dental therapists, with the majority being dual-licensed dental hygienists/dental therapists, providing primary care services in a variety of settings throughout the state. Current data confirm their contributions to increasing access to primary oral health care services for Minnesotans across the lifespan. While surmountable challenges remain, new opportunities are emerging for dental therapists within Minnesota's transforming health care system. The purpose of this paper is to describe the implementation of this new workforce model in Minnesota, its challenges and successes to assist other states in developing new models for intraprofessional dental team members. [ABSTRACT FROM AUTHOR]

Introduction Smoking commercial tobacco products is highly prevalent in American Indian and Alaska Native (Indigenous) pregnancies. This disparity directly contributes to maternal and fetal mortality. Our objective was to describe cigarette smoking prevalence, cessation intervention uptake, and cessation behaviors of pregnant Indigenous people compared to sex and age-matched regional cohort. Aims and Methods Pregnancies from an Indigenous cohort in Olmsted County, Minnesota, identified in the Rochester Epidemiology Project, were compared to pregnancies identified in a sex and age-matched non-Indigenous cohort from 2006 to 2019. Smoking status was defined as current, former, or never. All pregnancies were reviewed to identify cessation interventions and cessation events. The primary outcome was smoking prevalence during pregnancy, with secondary outcomes measuring uptake of smoking cessation interventions and cessation. Results The Indigenous cohort included 57 people with 81 pregnancies, compared to 226 non-Indigenous people with 358 pregnancies. Smoking was identified during 45.7% of Indigenous pregnancies versus 11.2% of non-Indigenous pregnancies (RR: 3.25, 95% CI = 1.98–5.31, p ≤.0001). Although there was no difference in uptake of cessation interventions between cohorts, smoking cessation was significantly less likely during Indigenous pregnancies compared to non-Indigenous pregnancies (OR: 0.23, 95% CI = 0.07–0.72, p  = .012). Conclusions Indigenous pregnant people in Olmsted County, Minnesota were more than three times as likely to smoke cigarettes during pregnancy compared to the non-indigenous cohort. Despite equivalent uptake of cessation interventions, Indigenous people were less likely to quit than non-Indigenous people. Understanding why conventional smoking cessation interventions were ineffective at promoting cessation during pregnancy among Indigenous women warrants further study. Implications Indigenous pregnant people in Olmsted County, Minnesota, were greater than three times more likely to smoke during pregnancy compared to a regional age matched non-Indigenous cohort. Although Indigenous and non-Indigenous pregnant people had equivalent uptake of cessation interventions offered during pregnancy, Indigenous people were significantly less likely to quit smoking before fetal delivery. This disparity in the effectiveness of standard of care interventions highlights the need for further study to understand barriers to cessation in pregnant Indigenous people. [ABSTRACT FROM AUTHOR]

Purpose The prevalence of intimate partner domestic violence (DV) increased in frequency during the global COVID-19 pandemic. The purpose of this pilot study was to assess dental hygienists' knowledge, attitudes, and readiness to manage patients experiencing DV in the state of Minnesota. Methods A cross-sectional study design was used on a convenience sample of dental hygienists. The validated Physician Readiness to Manage Intimate Partner Violence Survey (PREMIS) was used to collect the data. Survey items included demographic variables and measured attitudes and knowledge regarding intimate partner DV. Paper surveys were distributed to attendees at the Minnesota Dental Hygienist Association Annual Meeting. ANOVA and linear regression models were used to assess associations between domestic violence knowledge scores and respondent demographics and attitudes. Results Eighty-eight surveys were distributed; 31 surveys were completed and met the inclusion criteria for data analysis. The overall mean knowledge score was 11.6 from a possible score of 17. No significant differences were found by age, degree type, or years in practice and domestic violence knowledge or attitudes. Most respondents (64.5%) indicated a lack of preparedness to ask appropriate questions regarding DV and only a little more than half knew how to respond to disclosures of DV (51.6%) or were aware of the state's legal requirements for reporting DV (58.0%). Conclusion Participants demonstrated moderate knowledge of DV and recognized the importance of identifying and providing support for DV victims. However, participants were unsure of current state-mandated guidelines for reporting DV. Future exploration of reporting mandates will better support dental hygienists in their professional obligations identifying victims of DV. [ABSTRACT FROM AUTHOR]

Arts and journalism enterprises may serve as effective economic development tools for small cities and neighborhoods. The author demonstrates how a new, for-profit, weekly newspaper serving a Minnesota city of 12,000 residents in a county of 36,000 has diversified and energized a depopulated downtown and surrounding region. Through powerful investigative reporting and by investing in and hosting exhibits by area artists, the newspaper has attracted new businesses into adjacent unoccupied retail spaces. [ABSTRACT FROM AUTHOR]