Illinois State Research Articles

Dr. Olga Jonasson: A Pioneer for Women in Surgery.

The advancement of women in surgery has seen tremendous progress over the past century. Among the many physicians who paved the way for women in surgery is Dr. Olga Jonasson, a Chicago-based transplant surgeon who performed the first kidney transplantation in the state of Illinois in 1969. Her passion for service and drive for greater female representation in medicine was massively influential to the field. Aspiring female physicians are forever indebted to the efforts of Dr. Jonasson and the bold women who came before us.

Impact of Lake Michigan water level rise on complex bidirectional flow in the Chicago Area Waterway System (CAWS)

In the past decade, continuously rising water levels in Lake Michigan have been threatening lakefront areas, especially in metropolitan regions like the Greater Chicago area. This provides the motivation to analyze the impact that high lake levels have on the Chicago Area Waterway System (CAWS). As the only primary free connection between the CAWS and Lake Michigan, the Calumet Area waterway subsystem plays a key and unique role. In this work, a numerical model covering the Calumet subsystem and having Lake Michigan as a boundary condition, is set up, calibrated, and validated using limited field observations. It is found that the Calumet subsystem has become bidirectional, where both discharge and flow directions are controlled by lake levels. When lake levels are below −0.15 m (-0.5 ft, Chicago City Datum, CCD), the discharge in the Grand Calumet River is around zero, with water flowing along its east branch towards Indiana. When lake levels are above +0.46 m (+1.5 ft, CCD), the flow reverses direction and drains west into Illinois. In 2020, the mean lake-level was at +1.07 m (+3.5 ft, CCD), and the base discharge in the Grand Calumet River was approximately 8.5 m3/s (300 ft3/s). The higher Lake Michigan’s level is, the larger the discharge would be into Illinois. Potential impact of this extra discharge on Lake Michigan Diversion Accounting (LMDA) of the State of Illinois and flood management in the Chicago Sanitary and Ship Canal (CSSC), is analyzed; while the nature of the bidirectional flows is characterized with the intent of shedding light on this complex phenomenon.

Institutional factors affecting the electronic health information exchange by ambulatory providers

ObjectiveElectronic exchange of health information by health entities along the care continuum can vastly improve patient health outcomes as well as reduce costs. To realize the national goal of a health information highway, it is important for a large pool of ambulatory providers to engage in health information exchange (HIE) to share clinical information with affiliated and unaffiliated providers. Applying institutional theory, this research seeks to examine the key institutional factors that influence the HIE use by ambulatory practices. Material and MethodsData was gathered through a web-based survey of 320 ambulatory providers in the US state of Illinois. Partial least squares approach to structural equation modeling was used to examine the influence of five institutional factors viz. government, patients, peers, affiliates and technology vendors on the use of HIE by ambulatory providers to share clinical information with (i) affiliated providers, and (ii) external, unaffiliated providers. FindingsWe found positive and significant influence of government initiatives, patients, peers and affiliates on ambulatory providers’ HIE with affiliated providers (R2 = 0.347) and unaffiliated providers (R2 = 0.328). Peer influence was positive and significant for HIE with unaffiliated providers only. No significant influence of technology vendors on HIE use by ambulatory practices was found. ConclusionAddressing a critical gap in our knowledge of how ambulatory providers engage in HIE, we provide compelling evidence for the influence of institutional factors on ambulatory providers’ electronic HIE with both affiliated and unaffiliated providers. Policy makers and healthcare leaders need to pay attention to the institutional factors and frame appropriate programs to augment and promote the use of HIE by ambulatory providers.

Uncertain Waters: Participatory groundwater modelling in Chicago’s suburbs

Groundwater exists in underground aquifers and is largely hidden and intangible to water users. As such, groundwater models are one of the main vehicles through which groundwater is made legible. They are critical for water supply planning purposes. However, models are imperfect representations of limited data and contain much uncertainty, posing challenges for the water supply planning process. In this paper, we draw on a case from the Greater Chicago area to examine efforts by the authors and the Illinois State Water Survey to engage with local water managers to develop future water supply scenarios. Much of this area has been dependent upon the Cambrian-Ordovician Aquifer System for over 150 years. Over this period, water levels have declined by over 300 m and aquifers are expected to be unviable by 2030. Here we advance the growing field of participatory groundwater modelling (PGM) to identify forms of uncertainty and their influence on understandings of water supply and risk perceptions of depletion. Conceptually, we draw on the idea of models as world builders, where uncertainties are elucidated through knowledge production in the act of model building, while model development is simultaneously influenced by expectations, beliefs, and ambiguity surrounding those using the models. Through planning meetings and focus group discussions between groundwater modelers and water supply stakeholders, we identify four forms of interconnected uncertainty that hinder planning efforts: 1) hydrogeologic uncertainty, 2) modelling uncertainty; 3) water demand uncertainty; and 4) urban planning uncertainty. We describe our PGM efforts to reduce uncertainty and find stakeholder perceptions are as important as model uncertainties in water management decisions. Participatory modelling is effective in reducing and clarifying these four forms of uncertainty, particularly applied to short-term management decisions in a rapidly changing system. We conclude that future participatory modelling efforts need to focus on reducing communication barriers between scientists and local users.

Social and economic inequality in coronavirus disease 2019 vaccination coverage across Illinois counties

Prior research has well established the association of ethno-racial and economic inequality with COVID-19 incidence and mortality rates across counties in the US. In this ecological study, a similar association was found between ethno-racial and economic inequality and COVID-19 full vaccination rates across the 102 counties in the American state of Illinois in the early months of vaccination. Among the counties with income inequality below the median, a county’s poverty rate had a negative association with the proportion of population fully vaccinated. However, among the counties with income inequality above the median, a higher percentage of Black or Hispanic population was persistently associated with a lower proportion of fully vaccinated population over the two-month period from early February to early April of 2021.

MORE COVERAGE, MORE CARE: INCREASED FERTILITY PRESERVATION VOLUME BEFORE AND AFTER STATEWIDE INSURANCE MANDATES

As of January 1, 2019, Illinois state law mandates that insurers cover fertility preservation (FP) for patients facing iatrogenic infertility. As of April 2021, 10 states have enacted similar mandates, but only Illinois extended coverage to Medicaid recipients. Few studies have examined the impact of these laws on FP care. Our study aimed to examine FP care at a single large academic medical center in Illinois before and after the enactment of law mandating FP coverage. DESIGN: Retrospective cross-sectional study We analyzed all medically indicated FP consultations and completed cycles performed at our fertility center between January 1, 2017 and December 31, 2020, representing the two years before and after enactment of the insurance mandate. Data were analyzed using Mann-Whitney-U, student’s T test and Fisher’s exact test where indicated (p<0.05). 436 FP consultations were performed, and 282 patients completed 319 cycles at our center over the study period. Minimal change in patient and cycle volume was seen in the first year after the insurance mandate took effect, but there was a sharp increase in consult, patient, and cycle volume in 2020 (Table). More patients with Medicaid insurance were seen after enactment of the mandate (11 vs 28), and more of these completed FP cycles (3 vs 16, p=0.003). Among patients who completed cycles pre- and post-mandate, there was no difference in race or ethnicity (9.3% vs 12.0% identified as Black, and 8.5% vs 9.2% identified as Hispanic or Latinx). Clinical characteristics pre- and post-mandate were similar when comparing age (29.6 vs 29.1, p>0.05) and medical diagnosis, with the most common diagnoses being breast cancer (32% vs 30%, p>0.05) and hematologic malignancies (19% vs 18%, p>0.05). AMH was higher (2.70 vs 3.54, p=0.02) and more oocytes were retrieved per cycle (16±10 vs 20±12, p=0.02) in patients completing FP post-mandate. There was no difference in rates of oocyte cryopreservation and embryo cryopreservation pre- (65%, 36%) and post- mandate (69%, 31%) (p>0.05). Our data from a large academic medical center suggest Illinois legislation may lead to increased FP consultation and cycle volumes and expanded access to FP for publicly insured patients. Further research is needed to examine the how implementation of insurance mandates can maximize access and affordability for patients.

Development of flow-duration-frequency curves for episodic low streamflow

In water resources management and practices, the time-connected duration and frequency of episodic low streamflow events (and droughts) are often needed for a range of purposes such as water supply planning, low flow management, and drought planning. However, the existing graphical tools commonly used in hydrology such as flow duration curves (FDC), discharge-duration-frequency (QdF), and severity-duration-frequency (SDF) curves, often do not provide this information. In this study, we contribute an approach to develop a flow-duration-frequency (FDF) curve by fitting the exponential function to graphically show the time-connected duration and frequency of episodic low streamflow events. The FDF fitting is comprehensively tested with a bootstrap resampling experiment using long-term continuous streamflow records for 92 USGS gages located in the state of Illinois, U.S.A. The experiment results reveal that the proposed methodology can reasonably develop FDF curves for episodic low streamflow events. The results demonstrate that the FDF fitting is improved by using longer streamflow record though the improvement appears to level off with 30 years or longer streamflow records. The results also confirm that the FDF fitting is more reliable for higher streamflow threshold to define episodic low streamflow events.

Policy or scientific messaging? Strategic framing in a case of subnational climate change conflict

AbstractClimate change and the implementation of climate‐energy policies remains highly contentious in the United States. Prior research makes clear that the way polices are “framed” powerfully shapes how they are conceptualized. This article explores framing dynamics within a 2015–2016 case of subfederal climate‐energy policy conflict in the state of Illinois, which culminated with the passage of the Future Energy Jobs Act: legislation that contained significant environmental initiatives. I investigate this episode through a process tracing case study, incorporating qualitative content analysis and semi‐structured interviews with stakeholders. Results suggest that stakeholders strategically framed their policies in terms of economic benefits, and other aspects of a policy's design, as opposed to focusing on climate change or climate science. In this way, Illinois was able to pass a comprehensive climate‐energy policy with bipartisan support—an outcome infrequently seen in other states around the country.

Exploring Race and Ethnicity Representational Inequities in Illinois Medical Schools.

Purpose: Efforts to increase U.S. medical school student diversity have lagged behind the continued growth of racial/ethnic minorities in the population. A targeted, local approach may catalyze actionable change that holds schools accountable for addressing community needs through representation. The aims of our study are to (1) analyze the student racial/ethnic profiles of allopathic and osteopathic medical schools in the diverse state of Illinois and (2) compare student race/ethnicity with that of schools' local county and primary teaching hospital patient populations.Methods: Data from the Association of American Medical Colleges and American Association of College of Osteopathic Medicine were used to gather matriculated student race/ethnicity from the eight allopathic schools and one osteopathic medical school in Illinois. Representational inequity quotients (RIQs) were calculated to determine the proportion of Hispanic/Latinx, black/African American, and total underrepresented in medicine (UIM) individuals in three reference populations (U.S., county, and primary teaching hospital patient populations) relative to each medical school's student racial/ethnic profile.Results: Across Illinois schools, mean RIQs were highest (showed greater inequity) when county demographics were used as the reference population as opposed to U.S. or hospital populations. For all schools individually, Hispanic county-student RIQs were higher than RIQs based on hospital population. For a majority of schools with primary teaching hospital in Cook County, hospital-student RIQs magnified representational inequity for the black population.Conclusions: Using county data to evaluate medical school representation inequities may better reflect UIM representation goals than the U.S. population. Examining hospital demographics may further reveal other structural inequities relevant to medical education, such as primary teaching hospitals that are not adequately serving their surrounding communities. By evaluating RIQs on a local and hospital-population level, schools can periodically assess to what degree their student body and hospital populations represent their communities and adjust recruitment, retention, and service efforts.

Water Supply Planning Considering Uncertainties in Future Water Demand and Climate: A Case Study in an Illinois Watershed

AbstractEnsuring an adequate, reliable, clean, and affordable water supply for citizens and industries requires informed, long‐range water supply planning, which is critically important for water security. A balance between water supply and demand must be considered for a long‐term plan. However, water demand projections are often highly uncertain. Climate change could impact the hydrologic processes, and consequently, threaten water supply. Thus, understanding the uncertainties in future water demand and climate is critical for developing a sound water supply plan. In Illinois, regional water supply planning attempts to explore the impacts of future water demand and climate on water supply using scenario analyses and hydrologic modeling. This study is aimed at developing a water supply planning framework that considers both future water demand and climate change impacts. This framework is based on the Soil and Water Assessment Tool to simulate the watershed hydrology and conduct scenario analyses that consider the uncertainties in both future water demand and climate as well as their impacts on water supply. The framework was applied to water supply planning efforts in the Kankakee River watershed. The Kankakee River watershed model was calibrated and validated to observed streamflow records at four long‐term United States Geological Survey streamflow gages. Because of the many model parameters involved, the calibration process was automated and was followed by a manual refinement, resulting in good model performance. Long‐range water demand projections were prepared by the Illinois State Water Survey. Six future water demand scenarios were established based on a suite of assumptions. Climate scenarios were obtained from the Coupled Model Intercomparison Projection Phase 5 datasets. Three representative concentration pathways (RCPs), RCP2.6, RCP4.5, and RCP8.5, are used in the study. The scenario simulation results demonstrated that climate change appears to have a greater impact on water availability in the study area than water demand. The framework developed in this study can also be used to explore the impacts of uncertainties of water demand and climate on water supply and can be extended to other regions and watersheds.

A knowledge-centered framework for exploration and retrieval of legal documents

Automated legal knowledge extraction systems are strongly demanded, to support annotation of legal documents as well as knowledge extraction from them, to provide useful and relevant suggestions to legal actors (e.g., judges, lawyers) for managing incoming new cases.In this paper, we propose CRIKE (CRIme Knowledge Extraction), a knowledge-based framework conceived to support legal knowledge extraction from a collection of legal documents, based on a reference legal ontology called LATO (Legal Abstract Term Ontology). We first introduce LATO-KM, the knowledge model of LATO where legal knowledge featuring documents in the collection is properly formalized as conceptual knowledge, in form of legal concepts and relationships, and terminological knowledge, in form of term-sets associated with legal concepts. Then, we present the bootstrapping cycle of CRIKE that aims to progressively enrich the terminological knowledge layer of LATO by extracting new terms from legal documents to be used for enriching the term-set associated with a corresponding legal concept. Finally, to evaluate the results obtained through CRIKE, we discuss experimental results on a real dataset of 180,000 court decisions of the State of Illinois taken from the Caselaw Access Project (CAP).

Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in All of Us Research Program Participants, 2 January to 18 March 2020.

BackgroundWith limited severe acute respiratory syndrome coronavirus (SARS-CoV-2) testing capacity in the United States at the start of the epidemic (January–March 2020), testing was focused on symptomatic patients with a travel history throughout February, obscuring the picture of SARS-CoV-2 seeding and community transmission. We sought to identify individuals with SARS-CoV-2 antibodies in the early weeks of the US epidemic.MethodsAll of Us study participants in all 50 US states provided blood specimens during study visits from 2 January to 18 March 2020. Participants were considered seropositive if they tested positive for SARS-CoV-2 immunoglobulin G (IgG) antibodies with the Abbott Architect SARS-CoV-2 IgG enzyme-linked immunosorbent assay (ELISA) and the EUROIMMUN SARS-CoV-2 ELISA in a sequential testing algorithm. The sensitivity and specificity of these ELISAs and the net sensitivity and specificity of the sequential testing algorithm were estimated, along with 95% confidence intervals (CIs).ResultsThe estimated sensitivities of the Abbott and EUROIMMUN assays were 100% (107 of 107 [95% CI: 96.6%–100%]) and 90.7% (97 of 107 [83.5%–95.4%]), respectively, and the estimated specificities were 99.5% (995 of 1000 [98.8%–99.8%]) and 99.7% (997 of 1000 [99.1%–99.9%]), respectively. The net sensitivity and specificity of our sequential testing algorithm were 90.7% (97 of 107 [95% CI: 83.5%–95.4%]) and 100.0% (1000 of 1000 [99.6%–100%]), respectively. Of the 24 079 study participants with blood specimens from 2 January to 18 March 2020, 9 were seropositive, 7 before the first confirmed case in the states of Illinois, Massachusetts, Wisconsin, Pennsylvania, and Mississippi.ConclusionsOur findings identified SARS-CoV-2 infections weeks before the first recognized cases in 5 US states.

Geographic and demographic heterogeneity of SARS-CoV-2 diagnostic testing in Illinois, USA, March to December 2020

BackgroundAvailability of SARS-CoV-2 testing in the United States (U.S.) has fluctuated through the course of the COVID-19 pandemic, including in the U.S. state of Illinois. Despite substantial ramp-up in test volume, access to SARS-CoV-2 testing remains limited, heterogeneous, and insufficient to control spread.MethodsWe compared SARS-CoV-2 testing rates across geographic regions, over time, and by demographic characteristics (i.e., age and racial/ethnic groups) in Illinois during March through December 2020. We compared age-matched case fatality ratios and infection fatality ratios through time to estimate the fraction of SARS-CoV-2 infections that have been detected through diagnostic testing.ResultsBy the end of 2020, initial geographic differences in testing rates had closed substantially. Case fatality ratios were higher in non-Hispanic Black and Hispanic/Latino populations in Illinois relative to non-Hispanic White populations, suggesting that tests were insufficient to accurately capture the true burden of COVID-19 disease in the minority populations during the initial epidemic wave. While testing disparities decreased during 2020, Hispanic/Latino populations consistently remained the least tested at 1.87 tests per 1000 population per day compared with 2.58 and 2.87 for non-Hispanic Black and non-Hispanic White populations, respectively, at the end of 2020. Despite a large expansion in testing since the beginning of the first wave of the epidemic, we estimated that over half (50–80%) of all SARS-CoV-2 infections were not detected by diagnostic testing and continued to evade surveillance.ConclusionsSystematic methods for identifying relatively under-tested geographic regions and demographic groups may enable policymakers to regularly monitor and evaluate the shifting landscape of diagnostic testing, allowing officials to prioritize allocation of testing resources to reduce disparities in COVID-19 burden and eventually reduce SARS-CoV-2 transmission.

A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA

The State of Illinois is examining prospects to increase the development of in-state renewable energy resources on public lands. In response, this research develops a scalable decision-support tool for identifying suitable areas for solar energy generation in the state. This paper provides guidance for state agency-driven solar development by evaluating the suitability of potential generation areas in terms of environmental impact, socioeconomic costs, and energy productivity, and providing a forum for critical decision-making. More specifically, geospatial technologies are combined with a suitability analysis to reveal the potential for solar energy generation on public lands. This study demonstrates the usefulness of the resulting information for supporting both regional and local decision-making as a Planning Support System (PSS). Our analysis suggests that the large-scale analysis using fine resolution data is useful for comparison and site-specific decision making - with site verification protocols in terms of physical implementation. We find that planning decisions for solar development should use a fine-grained suitability approach at a large scale and a feasibility analysis at a specific scale. We present our findings in statewide application along with a scalable PSS tool to optimize and support solar decision-making process and democratize the information for engaging a broader audience.

Resiliency tactics during financial crisis: The nonprofit resiliency framework

AbstractThe ability of nonprofits to weather hard times is a popular theme in the literature, yet most of the research is spent on predicting organizational closure. Unfortunately, this offers little guidance to nonprofits attempting to both survive and deliver services during crises. We use the lived experiences of 31 nonprofits—a mix of umbrella groups and direct human service providers—during the Illinois state budget impasse to understand nonprofit organization resilience in times of crisis. We establish the Nonprofit Resiliency Framework using qualitative analysis, mapping tactics in five areas: financial, human resources, outreach, program and services, and management and leadership. This study not only provides further empirical investigation of organizational resilience, but also useful advice for nonprofits on how to weather a complex financial crisis.

“Like if you Get a Hotel Bill”: Consumer Logic, Pay‐to‐Stay, and the Production of Incarceration as a Public Commodity*

Neoliberal governance has become a defining feature of our social world, fast‐tracking the commodification of human interaction, particularly within capitalist economies. Neoliberalism’s intensification of capitalist social relations shifted social institutions such as education, healthcare, and criminal justice to resemble profit‐oriented enterprises. A preeminent consequence of this shift for the administration of criminal justice is the rapid expansion of monetary sanctions in the form of pay‐to‐stay fees. Our article contributes to scholarship on neoliberal governance and social institutions by exploring how lawmakers justify and frame the imposition and recoupment of pay‐to‐stay fees. We draw from a novel dataset compiled by the authors on pay‐to stay in the state of Illinois, which consists of state‐level pay‐to‐stay statutes, transcripts of legislative debates on the ratification of pay‐to‐stay statutes, and 102 civil complaints from 1997 to 2015 initiated on behalf of the Illinois Department of Corrections against currently and formerly incarcerated people to compel the payment of pay‐to‐stay fees. Our analysis suggests that in the era of neoliberal governance, consumerism is an institutional logic that lawmakers draw from to adopt pay‐to‐stay as a legal template in an effort to foster a producer–consumer relationship between incarcerated people and the state, thereby producing incarceration as a public commodity.

Scale Alignment in the Between-Item Multidimensional Partial Credit Model.

In between-item multidimensional item response models, it is often desirable to compare individual latent trait estimates across dimensions. These comparisons are only justified if the model dimensions are scaled relative to each other. Traditionally, this scaling is done using approaches such as standardization-fixing the latent mean and standard deviation to 0 and 1 for all dimensions. However, approaches such as standardization do not guarantee that Rasch model properties hold across dimensions. Specifically, for between-item multidimensional Rasch family models, the unique ordering of items holds within dimensions, but not across dimensions. Previously, Feuerstahler and Wilson described the concept of scale alignment, which aims to enforce the unique ordering of items across dimensions by linearly transforming item parameters within dimensions. In this article, we extend the concept of scale alignment to the between-item multidimensional partial credit model and to models fit using incomplete data. We illustrate this method in the context of the Kindergarten Individual Development Survey (KIDS), a multidimensional survey of kindergarten readiness used in the state of Illinois. We also present simulation results that demonstrate the effectiveness of scale alignment in the context of polytomous item response models and missing data.

Newborn Screening for Krabbe Disease-Illinois Experience: Role of Psychosine in Diagnosis of the Disease.

Population-based newborn screening for Krabbe disease was initiated by measurement of galactocerebrosidase (GALC) activity in the state of Illinois in December 2017. Due to the poor specificity of GALC for the diagnosis of Krabbe disease, second-tier testing services were provided to reduce the false positive rates for disease monitoring. Using ultra-pressure liquid chromatography coupled to mass spectrometry assay, a total of 497,147 newborns were screened. In total, 288 infants’ specimens (0.06%) having reduced GALC activity were sent out for second-tier testing to a reference laboratory. All newborns’ reduced GALC specimens were tested for psychosine levels, the presence of a 30-kb deletion and GALC sequencing. The results showed that two infants had elevated psychosine levels (10 and 35 nM) and were referred immediately for evaluation and treatment for Infantile Krabbe disease, and six infants had intermediate PSY levels (≥2 to 5 nM) and are under observation as suspected candidates for late-onset Krabbe disease. In addition, 178 infants had pseudodeficiency alleles, all having psychosine levels < 2.0 nM. Our data show that a high percentage of reduced GALC activity (62%) was due to the presence of pseudodeficiency alleles in the GALC gene. In conclusion, incorporation of psychosine measurements can identify infants with infantile Krabbe disease and probable late-onset Krabbe infants. Furthermore, Krabbe disease screening can be achieved at public health laboratories, and infants with infantile Krabbe disease can be diagnosed in timely manner for better outcome.

Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring

Various drought indices have been used for agricultural drought monitoring, such as Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), Palmer Drought Severity Index (PDSI), Soil Water Deficit Index (SWDI), Normalized Difference Vegetation Index (NDVI), Vegetation Health Index (VHI), Vegetation Drought Response Index (VegDRI), and Scaled Drought Condition Index (SDCI). They incorporate such factors as rainfall, land surface temperature (LST), potential evapotranspiration (PET), soil moisture content (SM), and vegetation index to express the meteorological and agricultural aspects of drought. However, these five factors should be combined more comprehensively and reasonably to explain better the dryness/wetness of land surface and the association with crop yield. This study aims to develop the Integrated Crop Drought Index (ICDI) by combining the weather factors (rainfall and LST), hydrological factors (PET and SM), and a vegetation factor (enhanced vegetation index (EVI)) to better express the wet/dry state of land surface and healthy/unhealthy state of vegetation together. The study area was the State of Illinois, a key region of the U.S. Corn Belt, and the quantification and analysis of the droughts were conducted on a county scale for 2004–2019. The performance of the ICDI was evaluated through the comparisons with SDCI and VegDRI, which are the representative drought index in terms of the composite of the dryness and vegetation elements. The ICDI properly expressed both the dry and wet trend of the land surface and described the state of the agricultural drought accompanied by yield damage. The ICDI had higher positive correlations with the corn yields than SDCI and VegDRI during the crucial growth period from June to August for 2004–2019, which means that the ICDI could reflect the agricultural drought well in terms of the dryness/wetness of land surface and the association with crop yield. Future work should examine the other factors for ICDI, such as locality, crop type, and the anthropogenic impacts, on drought. It is expected that the ICDI can be a viable option for agricultural drought monitoring and yield management.

Adopting Non-Exclusionary Discipline Practices: The First Steps Are the Most Confusing

Two years after the State of Illinois enacted an extensive non-exclusionary discipline reform in schools, 322 key discipline gatekeepers were surveyed about the extent and impact of the new state policy. The results showed that several core provisions of the reform had not been fully implemented or addressed through professional development. Creating re-entry plans for students with long suspensions, eliminating zero tolerance policies, and limiting disciplinary transfers to alternative schools were the least implemented provisions. Furthermore, contrary to principals’ conservative self-reporting, large proportions of school personnel still had not received required professional development in key topics such as (a) adverse consequences of school exclusion and justice-system involvement, (b) culturally responsive discipline, and (c) developmentally appropriate disciplinary methods that promote positive and healthy school climate. Finally, differences were revealed between principals and other gatekeepers regarding satisfaction with, and impact of the implementation. Sharp differences were found between principals, on one hand, and teachers and support personnel, on the other hand, about the continuing prevalence and high frequency of discipline incidents, and about improvement in the overall school climate. If the reform is going to be impactful, it was recommended that more emphasis be placed on ensuring that teachers and support personnel receive adequate and timely professional development on the provisions of the policies.