Geographically Diverse Research Articles

Location Selection for Bakery Industry in Geographically Diverse States of India Considering PESTEL Factors

Location Selection for Bakery Industry in Geographically Diverse States of India Considering PESTEL Factors

2 Neurocognition and Functional Status Among Ethnoculturally Diverse Older Adults: Support for the External Validity of the ADAS-Cog

Objective:Alzheimer’s Disease (AD) and dementia present major and escalating public health concerns for the U.S., especially among ethnoculturally diverse (e.g., Latinx, non-Latinx Black [NLB]) populations who represent an increasing percentage of the older adult population in the US and bear greater AD burden compared to non-Latinx Whites (NLWs). Notably, neurocognition and functional status are highly correlated in those with AD. However, little has been done to understand these associations and validate functional measures across geographically diverse, multiethnic samples. The aims of this study were to characterize the neurocognition and functional status of a large, multiethnic sample and subsequently examine any associations between neurocognition and functional status among Latinx, NLB, and NLW older adults.Participants and Methods:This cross-sectional, retrospective study utilized archival data drawn from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). ADNI is a national, longitudinal, multi-site, observational study aiming to measure the progression of AD (see https://adni-info.org). Study measures included the: 1) Alzheimer’s Disease Assessment Scale Cognitive subscale (ADAS-cog; 13-items), a global neurocognitive battery evaluating neurocognition in people with AD; 2) Functional Activities Questionnaire (FAQ; 10-item questionnaire) to assess functional status; 3) Geriatric Depression Scale (GDS; 15-item questionnaire) for depression; and 4) American National Adult Reading Test (ANART; 50-word test) for reading level. The sample included 1537 older adults who completed baseline visits for the ADNI study, 1333 of whom were NLW, 123 NLB, and 81 Latinx. The average age of the sample was 73 years, average 16 years of education, and 53% male. Compared to the NLW group, the NLB and Latinx groups were significantly younger and had a higher percentage of female participants. Compared to NLW and Latinx groups, the NLB group also had significantly fewer years of education and lower reading scores. Potential confounds (i.e., demographic variables, depression) were identified a priori based on the literature and subsequently analyzed for inclusion as covariates in the primary analyses. Analyses revealed variables were non-normally distributed, therefore Independent Samples Kruskal-Wallis tests and Spearman’s Correlations were computed to examine differences and correlations between ethnocultural groups.Results:After controlling for age and education, Latinx and NLB groups had significantly higher ADAS-cog and FAQ scores than the NLW group (Hs = 9.50-21.53, ps < .05). Spearman’s partial correlations controlling for age, education, gender, and depression revealed that higher ADAS-cog scores were associated with higher FAQ scores within Latinx (p=.49, p<.001), NLB (p=.66, p<.001), and NLW (p=.60, p<.001) groups.Conclusions:Findings indicate that neurocognition is positively associated with functional status and support the ecological and external validity of the ADAS-cog and FAQ for use with NLB and Latinx older adults, in addition to previously established work with more homogenous samples. Study strengths include the overall sample size, geographic diversity, and standardization of research approaches. Study limitations include high education level and low comorbidity rates present in the sample, limiting the generalizability of the results, in addition to the unbalanced ethnocultural groups, further emphasizing the need for increased inclusion efforts of ethnoculturally diverse older adults into brain health research studies.

Genomic sequencing of fourteen Bacillus thuringiensis isolates: insights into geographic variation and phylogenetic implications

ObjectiveThis work was performed in support of a separate study investigating the activity of pesticidal proteins produced by Bacillus thuringiensis against the Asian citrus psyllid, Diaphorina citri. The fourteen Bacillus isolates chosen were selected from a large, geographically diverse collection that was characterized only by biochemical phenotype and morphology of the parasporal crystal, hence, for each isolate it was desired to determine the specific pesticidal proteins produced, assign each to a Bacillus cereus multilocus sequence type (ST), and predict their placement within the classical Bt serotyping system. In addition, phylogenetic distances between the isolates and Bacillus thuringiensis serovar type strains were determined by calculating digital DNA-DNA hybridization (dDDH) values among the isolates.ResultsBased on the assembled sequence data, the isolates were found to be likely representatives of the Bt serovars kurstaki (ST 8), pakistani (ST 550), toumanoffi (ST 240), israelensis (ST 16), thuringiensis (ST 10), entomocidus (ST 239), and finitimus (ST 171). In cases where multiple isolates occurred within a predicted serovar, pesticidal protein profiles were found to be identical, despite the geographic diversity of the isolates. As expected, the dDDH values calculated for pairwise comparisons of the isolates and their apparent corresponding Bt serovar type strains were quite high (> 98%), however dDDH comparisons of the isolates with other serovar type strains were often surprisingly low (< 70%) and suggest unrecognized taxa within Bt and the Bacillus cereus sensu lato.

Geographical distribution and genetic diversity of Plasmodium vivax reticulocyte binding protein 1a correlates with patient antigenicity.

Plasmodium vivax is the most widespread cause of human malaria. Recent reports of drug resistant vivax malaria and the challenge of eradicating the dormant liver forms increase the importance of vaccine development against this relapsing disease. P. vivax reticulocyte binding protein 1a (PvRBP1a) is a potential vaccine candidate, which is involved in red cell tropism, a crucial step in the merozoite invasion of host reticulocytes. As part of the initial evaluation of the PvRBP1a vaccine candidate, we investigated its genetic diversity and antigenicity using geographically diverse clinical isolates. We analysed pvrbp1a genetic polymorphisms using 202 vivax clinical isolates from six countries. Pvrbp1a was separated into six regions based on specific domain features, sequence conserved/polymorphic regions, and the reticulocyte binding like (RBL) domains. In the fragmented gene sequence analysis, PvRBP1a region II (RII) and RIII (head and tail structure homolog, 152–625 aa.) showed extensive polymorphism caused by random point mutations. The haplotype network of these polymorphic regions was classified into three clusters that converged to independent populations. Antigenicity screening was performed using recombinant proteins PvRBP1a-N (157–560 aa.) and PvRBP1a-C (606–962 aa.), which contained head and tail structure region and sequence conserved region, respectively. Sensitivity against PvRBP1a-N (46.7%) was higher than PvRBP1a-C (17.8%). PvRBP1a-N was reported as a reticulocyte binding domain and this study identified a linear epitope with moderate antigenicity, thus an attractive domain for merozoite invasion-blocking vaccine development. However, our study highlights that a global PvRBP1a-based vaccine design needs to overcome several difficulties due to three distinct genotypes and low antigenicity levels.

Appropriate patient selection for outpatient shoulder arthroplasty: a risk prediction tool.

The transition from inpatient to outpatient shoulder arthroplasty critically depends on appropriate patient selection, both to ensure safety and to counsel patients preoperatively regarding individualized risk. Cost and patient demand for same-day discharge have encouraged this transition, and a validated predictive tool may help decrease surgeon liability for complications and help select patients appropriate for same-day discharge. We hypothesized that an accurate predictive model could be created for short inpatient length of stay (discharge at least by postoperative day 1), potentially serving as a useful proxy for identifying patients appropriate for true outpatient shoulder arthroplasty. A multicenter cohort of 5410 shoulder arthroplasties (2805 anatomic and 2605 reverse shoulder arthroplasties) from 2 geographically diverse, high-volume health systems was reviewed. Short inpatient stay was the primary outcome, defined as discharge on either postoperative day 0 or 1, and 49 patient outcomes and factors including the Elixhauser Comorbidity Index, sociodemographic factors, and intraoperative parameters were examined as candidate predictors for a short stay. Factors surviving parameter selection were incorporated into a multivariable logistic regression model, which underwent internal validation using 10,000 bootstrapped samples. In total, 2238 patients (41.4%) were discharged at least by postoperative day 1, with no difference in rates of 90-day readmission (3.5% vs. 3.3%, P = .774) between cohorts with a short length of stay and an extended length of stay (discharge after postoperative day 1). A multivariable logistic regression model demonstrated high accuracy (area under the receiver operator characteristic curve, 0.762) for discharge by postoperative day 1 and was composed of 13 variables: surgery duration, age, sex, electrolyte disorder, marital status, American Society of Anesthesiologists score, paralysis, diabetes, neurologic disease, peripheral vascular disease, pulmonary circulation disease, cardiac arrhythmia, and coagulation deficiency. The percentage cutoff maximizing sensitivity and specificity was calculated to be 47%. Internal validation showed minimal loss of accuracy after bias correction for overfitting, and the predictive model was incorporated into a freely available online tool to facilitate easy clinical use. A risk prediction tool for short inpatient length of stay after shoulder arthroplasty reaches very good accuracy despite requiring only 13 variables and was derived from an underlying database with broad geographic diversity in the largest institutional shoulder arthroplasty cohort published to date. Short inpatient length of stay may serve as a proxy for identifying patients appropriate for same-day discharge, although perioperative care decisions should always be made on an individualized and holistic basis.

Geographic diversity in economic publishing

Is the representation of editors at prestigious economics journals geographically diverse? Using data on the affiliations of academics working in an editorial capacity at such journals, we map the locations of editorial power within the economics profession. This allows us to rank institutions according to this measure of power. Further, by considering the average distance of a journal’s editorial affiliations from a geographic mean, we rank journals by geographic diversity. We find that power is concentrated in five geographical hubs and that most editorial teams are less geographically diverse and more North American than the authors they publish.

Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions

Atterberg limits are broadly used for engineering and geology purposes as well as in agricultural and environmental applications. Laboratory methods used for their determination are, however, laborious, destructive and tool dependent. The aim of this study was to test the feasibility of using visible near-infrared spectroscopy (vis–NIRS) as a fast and accurate alternative to the conventional measurements of Atterberg limits (LL and PL) and the PI for 229 geographically diverse soil samples originating from 24 countries. Three types of calibration techniques including Partial Least Squares (PLS) regression, Artificial Neural Networks (ANN) and Support Vector Machines (SVM) were applied to the spectral data. The performance of the best vis–NIRS models was validated using 45 independent samples and compared with two existing and one newly developed pedotransfer functions (PTF). The application of SVM yielded marginally better predictive ability than PLS and ANN for all modelled properties. The SVM models estimated LL, PL, and PI with root mean squared error (RMSE) of 7%, 5% and 7%, respectively. The newly developed PTF gave slightly better estimations than the existing ones, with RMSE values of 8%, 6%, and 6%, respectively for LL, PL, and PI. Furthermore, in terms of the sample swelling class, the SVM model correctly classified 31 of the 45 samples, compared to 34 samples for the best PTF. The results indicate a great potential of vis–NIRS for reliable estimates of Atterberg limits for soil samples of large geographical and mineralogical diversity.

Scottish Islands Interconnections: Modelling the Impacts on the UK Electricity Network of Geographically Diverse Wind and Marine Energy

To meet climate change goals, the decarbonisation of the UK electricity supply is crucial. Increased geographic diversity and resource use could help provide grid and market stability and reduce CO2 intensive balancing actions. The main purpose of this research is to investigate the impact of geographic diversity and Scottish island renewable energy on the UK network. This has been done by using the energy market modelling software PLEXOS with results validated using data for 2017/18. The model considers spatial diversification and forecasting errors by modelling day-ahead and intra-day markets with nodes for each distribution network operator region and island group. It was concluded that Scottish island renewable capacity could have a stabilising effect on the variability of renewables in terms of electricity generated, prices and forecasting errors, from the timescale of the entire year down to hours. The ability of geographically diverse generators to receive a higher price for electricity generated was shown to decrease with increased island capacity. Instances of negative prices were reduced with supply diversity (wind and marine) but not geographic diversity. Day ahead errors showed most clearly the impact of diversity of supply, particularly given the predictability of tidal stream generation.

664 Characteristics of respondents to a virtual trial of a digital behavioral treatment for insomnia during the COVID-19 pandemic

IntroductionRates of sleep disturbance and sleep medication use have increased during the COVID-19 pandemic, at a time when face-to-face delivery of behavioral insomnia treatments is severely limited. To support research during the pandemic, the FDA released guidelines promoting the use of “alternative methods” to conduct trials in a virtual or decentralized manner. Currently, few data exist regarding the impact of virtual trial enrollment during a pandemic. This abstract presents data from a decentralized, open-label, single-arm real-world clinical trial of the Somryst prescription digital therapeutic for insomnia, which provides insight on who seeks care for insomnia using virtual research methods.MethodsIn alignment with FDA guidance, the DREAM trial began enrolling patients in March, 2020 with an expected final sample size of 350 adults (Clinical Trial # NCT04325464). This abstract presents data from participants seeking enrollment into the trial via an online screening. Demographic and sleep variables were collected to confirm eligibility.ResultsOf 1,063 respondents, the majority were female (62%) and the most common age brackets were ages 30–39 (22%); 40–49 (20%); and 50–59 (20%). Most respondents (63.8%) did not report being under the care of a healthcare provider for their insomnia. Respondents reported sleep problems for an average of 12.9 years; sleep problems 5 nights/week; and sleeping an average of 5.4 hours/night. Geographic diversity was high with respondents from 45 states and Washington DC. Of those passing initial screening (N=270), 5.5% reported having another diagnosed sleep disorder, 14.4% reported a comorbid psychological condition, 58.9% reported taking a medication for insomnia, and 30.7% reported taking a medication for depression. Using the Insomnia Severity Index, 16.7% had subthreshold/mild insomnia (score 8–14), 60.0% had moderate insomnia (score 15–21), and 23.7% had severe insomnia (score > 21).ConclusionRespondents to this decentralized trial reported moderate-severe, long-lasting insomnia with high rates of medication use for sleep and depression. Results demonstrate that virtual trials can quickly draw a highly geographically diverse research population, overcoming logistical challenges inherent in a pandemic and resulting in recruiting appropriate, but more geographically diverse, samples than those typically observed in randomized trials of cognitive behavioral therapy for insomnia (CBT-I).Support (if any):

Geographic Diversity in Economic Publishing

Is the representation of editors at prestigious economics journals geographically diverse? Using data on the affiliations of academics working in an editorial capacity at such journals, we map the locations of editorial power within the economics profession. This allows us to rank institutions, countries and continents according to this measure of power. In addition, by considering the average distance of a journal's editorial affiliations from a geographic mean, we rank journals by geographic diversity. The magnitudes of the geographic differences we find are striking. Over half the journals we consider have over two thirds of their editorial power located in the USA. A large majority of journals have a tiny editorial contribution from academics located outside of North America and Europe. Any one of the states of California, Massachusetts and Illinois has more power than the four continents of Asia, South America, Africa and Australasia combined. Comparing to authorship data, we find that most editorial teams are both less geographically diverse and more USA-centric than the authors they publish.

The willingness to pay for ecosystem services on the Tibetan Plateau of China

Ecosystem Services (ES) are common-pool resources that can be valued by people's willingness to pay (WTP). In contrast to place-based WTP research at the community-level, the stakeholders tend to be geographically diverse, and the benefits are not spatially apparent on the national level. Aiming to find the geographical diversity of the WTP for ES at the large scale, this study implemented an online survey of more than 25,000 samples to detect the WTP of Chinese people for water conservation, soil retention, carbon fixation, pollution decomposition, biodiversity conservation, and aesthetic existence of the Tibetan Plateau. The results showed the top limit of payments was 1,080.95 CNY/year/capita on average, and people would like to pay 172.40 CNY/year/capita for water conservation, which is the highest among the six ES. The percent of people “Aged 16–35”, “Government agency staff” and “Know WTP” influenced payments at provincial level. On an individual level, people's knowledge and attitudes directly drove the payment amounts, as well as their ecosystem management decisions. Consequently, geographical diversity of the payment for ES exists in China, and in contrast to the objective social structure and spatial accessibility of ES, people's knowledge and attitudes were the main driving forces of this geographical diversity. These findings suggest that a bottom-up adaptive governance approach is encouraged for managing common pool resources in developing countries.

Surgical Innovation in the Era of Global Surgery: A Network Analysis.

To present a novel network-based framework for the study of collaboration in surgery and demonstrate how this can be used in practice to help build and nurture collaborations that foster innovation. Surgical innovation is a social process that originates from complex interactions among diverse participants. This has led to the emergence of numerous surgical collaboration networks. What is still needed is a rigorous investigation of these networks and of the relative benefits of various collaboration structures for research and innovation. Network analysis of the real-world innovation network in robotic surgery. Hierarchical mixed-effect models were estimated to assess associations between network measures, research impact and innovation, controlling for the geographical diversity of collaborators, institutional categories, and whether collaborators belonged to industry or academia. The network comprised of 1700 organizations and 6000 links. The ability to reach many others along few steps in the network (closeness centrality), forging a geographically diverse international profile (network entropy), and collaboration with industry were all shown to be positively associated with research impact and innovation. Closed structures (clustering coefficient), in which collaborators also collaborate with each other, were found to have a negative association with innovation (P < 0.05 for all associations). In the era of global surgery and increasing complexity of surgical innovation, this study highlights the importance of establishing open networks spanning geographical boundaries. Network analysis offers a valuable framework for assisting surgeons in their efforts to forge and sustain collaborations with the highest potential of maximizing innovation and patient care.

Abstract P321: Assembly and Validation of a Heart Failure Free Cohort From the Reasons for Geographic and Racial Differences in Stroke Study

Introduction: Studies of incident heart failure (HF) have provided insights into key risk factors for the disease but have been limited to select populations that often lack geographic, racial, and gender diversity. There is a need to assemble a HF-free cohort using a contemporary, geographically diverse sample. Aim: To develop and validate a strategy for assembling a HF-free cohort from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Methods: To assemble a HF-free cohort, we identified and excluded REGARDS participants who were taking HF-specific medications at baseline including: digoxin without atrial fibrillation, angiotensin converting enzyme inhibitor/angiotensin receptor blocker plus beta-blocker in the absence of hypertension, carvedilol, spironolactone, loop diuretic or a combination of hydralazine and nitrates. We then examined the subgroup of REGARDS participants with at least 6 months of Medicare claims at the time of the baseline assessment; we evaluated diagnostic performance (negative predictive value, positive predictive value, sensitivity and specificity) using three Medicare claims-based definitions of HF as the referent standard: Hospitalization for HF, Principal Diagnosis of HF, and Any Diagnosis of HF. Results: Among 28,884 eligible participants, 3,125 used HF-specific medications at baseline, leaving 25,759 (89%) participants in the proposed HF-free cohort. Participants in the HF-free cohort had a lower prevalence of coronary disease, atrial fibrillation, and diabetes compared to excluded participants. Depending on the Medicare definition used as the referent, the percent of the HF-free cohort without evidence of HF based on Medicare claims (the negative predictive value) ranged from 95.0-99.2% (Table 1). Negative predictive value was stable across age, sex, and race strata. Conclusions: This medication-based strategy to assembling a HF-free cohort in REGARDS can serve as a basis for future studies to examine incident HF in REGARDS and similar studies.

Testing the Nurturing Environments Framework on Youth Violence across Ethnically and Geographically Diverse Urban and Rural Samples of Adolescents.

Although research advocates for comprehensive cross sector youth violence prevention efforts, mobilizing across sectors to translate scientific recommendations into practice has proven challenging. A unifying framework may provide a foundational step towards building a shared understanding of the risk and protective factors that impact youth violence. We conducted two empirical tests of the nurturing environment framework on youth violence across ethnic and geographically diverse rural and urban adolescent samples. Results show that overall the characteristics of nurturing environments are associated with lower levels of aggression and violence. In addition, minimizing exposure to socially toxic conditions had the strongest associations with lower aggression and violence. Findings were supported across both samples, suggesting that this framework may apply in urban and rural, economically disadvantaged contexts.

Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis

The current research builds upon a previously published study that demonstrated the combination of Raman spectroscopy coupled with multivariate analysis (MVA) for the prediction of thermal maturity in coal by evaluating the efficacy of this method for the prediction of thermal maturity in shale. MVA techniques eliminate analyst bias in peak-fitting methods by using the full Raman spectrum, and then extricating the important spectral regions for distinguishing samples and building accurate, robust models. Partial least squares (PLS) regression models were developed using Raman spectra and VRo values (0.58–4.59%) for 53 geographically diverse shale chip samples, and 43 shale powder samples. Separate PLS models were built using Raman spectra from shale chips or powders. The calibration sets were validated using approximately one-third of the samples to rigorously assess the predictive accuracy of the models. The root mean standard error of prediction was 0.24 for the shale chip model, and 0.28 for the shale powder model. The coefficients of determination (R2) for the cross-validated data sets were identical (0.90, chips; 0.90, powders), revealing a strong linearity despite the geographic and age diversity of the samples. This study demonstrates the validity of using PLS models for the prediction of shale VRo from Raman spectra. The MVA method described herein presents a Raman alternative to the VRo industry benchmark for assessing thermal maturity in shale that is not imperiled by the shortcomings and subjectivity of peak-fitting methods.

Prospects for early childhood feeding interventions: An exploration of parent's concerns and acceptability towards social media intervention opportunities.

The present study aims to (i) consult with parents regarding child feeding concerns, as relevant to child feeding interventions, (ii) determine parents' willingness to participate in online and social media-based interventions and (iii) determine differences in intervention acceptability based on geographic diversity and demographic characteristics. Three hundred thirty Australian parents of children (2.0-5.0 years) with child feeding concerns participated in an online, cross-sectional survey. Kruskal-Wallis with Dunn's multiple-comparison test, using Bonferroni adjustment, was used to compare differences between variables and participants characteristics (region of residence, parent age, parent education and income). About 53.9% of respondents were concerned about child fussy eating, with lack of time and child tantrums common barriers to addressing concerns. Respondents indicated that a combination of online platforms (websites, email, Facebook) was their preferred method of intervention participation, although, a combination of online and face-to-face methods also had modest preference, particularly among lower educated parents. Participants indicated that they would participate in an online intervention (participating once a week) for more than 12 weeks (42.7%), compared with only 4 weeks (participating once a week) for traditionally delivered interventions. About 32.4% of respondents said they would be concerned about their privacy in an online intervention. Fussy eating is likely to be an appealing focus for future child feeding interventions, with strategies to address common barriers an important curriculum area. Online interventions are likely to offer an acceptable and plausible alternative to traditional interventions that are able to reach geographically diverse populations, although face-to-face intervention components still hold appeal.

Geographical Diversity of Alliance Portfolio and Firm Innovation: The Roles of Resource Characteristics and Governance Structures

This paper explores how geographical diversity of an alliance portfolio benefits resource-based firm innovation. We propose that there are inverted U-shaped relationships between geographical diversity of an alliance portfolio and a firm’s radical and incremental innovation. In addition, resource characteristics and alliance governance structures are considered as important moderators between geographically diverse alliances and innovation. Relevant resources of alliance partners help focal firms to acquire valuable resources from different locations, thus improving organizational capabilities and achieving innovation. Governance structure choices concentrate on opportunism and transaction cost in coordinating resource sharing and recombination activities, which determine focal firms’ cost of knowledge management and then innovation outcome. Our research could advance the literature on alliance portfolio diversity by studying how firms use their alliance portfolio from diverse locations to recombine resources and then to enhance innovation, which remains less explored.

Innovative approaches reaching underserved and rural communities to improve epilepsy care: A review of the methodology of the Connectors Project

ObjectiveThe Connectors Project, a collaboration between the Epilepsy Foundation and UCB Pharma, was a multiyear project designed to improve epilepsy care in underserved communities. A core objective of the Connectors Project was to pilot new and innovative approaches to epilepsy awareness and education in rural and underserved areas, including standardized curricula for healthcare providers and patients. MethodsA series of consensus conferences explored opportunities and barriers to epilepsy care throughout the United States including access to local Epilepsy Foundations, neurologists, and epilepsy centers. Data from QuintilesIMS™ were examined for access to newer antiepileptic drugs (AEDs)—a proxy for quality of epilepsy care—in different regions. State factors (e.g., local epilepsy foundation office, access to newer vs. older AEDs, and geographic density and diversity) were used in selecting four states as examples of rural and underserved areas to pilot the awareness and educational programs. For each state, a work team assessed challenges and opportunities, tailored educational curricula, and developed strategies for effective delivery of the educational programs. Interventions were held between June 2016 and June 2017. Interventions consisted of outreach and awareness programs, in-person health education to healthcare providers and patients/families, and digital health education. ResultsMichigan, Nevada, Oklahoma, and West Virginia were identified as pilot states representing geographically diverse areas, ranging from a state with a large high-density population center with several epilepsy centers and a local Epilepsy Foundation office (Michigan) to a state with predominately rural areas and a few small urban cores, two epilepsy centers, and no in-state Epilepsy Foundation office (West Virginia). State work teams tailored interventions and examined options for type, intent, ease of use, and impact. All states implemented outreach and awareness initiatives and in-person health education for patients and healthcare providers; use of digital health education was variable. Measurement of the interventions was agreed to be performed by the use of patient and physician surveys and reevaluation of data from QuintilesIMS for access to newer AEDs. ConclusionLocal Epilepsy Foundation offices successfully connected healthcare providers in rural and underserved areas to epilepsy education designed to enhance quality care in epilepsy. Educational opportunities for people with epilepsy and their families addressed critical gaps in accessing quality epilepsy care and self-management. Tailored and innovative educational approaches can be used to increase awareness levels and to overcome geographic challenges in reaching underserved populations. Relationship building and repeated, consistent engagement with healthcare providers and patients can assist in improving communication and self-management skills among patients with epilepsy.

Quantitative evaluation of vitrinite reflectance and atomic O/C in coal using Raman spectroscopy and multivariate analysis

Vitrinite reflectance (VRo) is a standard petrographic method for assessing thermal maturity (rank) of coal. The vitrinite reflectance technique, however, requires significant petrographic experience, can be time-consuming, and may be biased by analyst subjectivity. Correlations between coal rank and Raman spectral properties are a promising alternative that can supplant some of the limitations inherent in the VRo protocol. The traditional peak-fitting methodologies for quantifying metrics from Raman spectra, however, also suffer from analyst subjectivity that can affect correlations between analyte and spectral properties.This research combines high-throughput Raman spectroscopy with multivariate analysis (MVA) to create calibration models for the prediction of coal rank though VRo and atomic O/C ratio. MVA techniques eliminate the ambiguous subjectivity prevalent in peak-fitting methods by evaluating the full Raman spectrum, then identifying the integral vibrational modes for constructing accurate models. Partial least squares (PLS) regression models were developed using Raman spectra and VRo values (0.23–5.23%) for 68 geographically diverse coal samples. The calibration set was validated using one-half of the samples to rigorously assess the model’s predictive accuracy. The root mean standard error of prediction was 0.19 for the VRo model and 0.014 for the atomic O/C model. Both models exhibited linear correlations, with coefficients of determination (R2) for the validation set of 0.99 (VRo) and 0.93 (atomic O/C), despite the geographic and rank diversity of the samples. This study demonstrates the applicability and power of using PLS models for the prediction of both the VRo and atomic O/C ratio from Raman spectra. The quantitative MVA protocol contained herein provides a Raman alternative to the VRo industry benchmark for coal rank that is not subject to the limitations and subjectivity of peak-fitting methods.

What do young people with rheumatic disease believe to be important to research about their condition? A UK-wide study

BackgroundThe involvement of people of all ages including young people in research is now widely advocated but prioritisation of research topics is still driven largely by professional agendas. Evidence from adult literature has reported a mismatch between a researcher and patient generated list of research topics. There have been no studies to date exploring the priorities of young people with long term conditions other than in SLE. The study aimed to explore the research priorities of young people across the UK with respect to rheumatic conditions.MethodsFocus groups were undertaken with young people aged 11–24 years with rheumatic conditions recruited across the UK via members of the Barbara Ansell National Network for Adolescent Rheumatology BANNAR and relevant national charities. Data was analysed using a Framework approach. Participants discussed their beliefs about what should be researched in: Basic Science; Clinical Medicine; Health Services, Psychosocial, and Public Health. They were then invited to prioritize these areas in terms of how much funding they should receive.ResultsThirteen focus groups were held involving 63 participants (18 males: 45 females, mean age 16 years, range 10 to 24) in all four nations of the UK. Young people’s research priorities were influenced by whether they felt research would achieve benefits for all or just some patients and long or short term goals. Another influence was whether participants felt that research areas were already well funded.Across all groups, Basic Science was a key priority and participants felt that psychosocial research should be prioritized more. Health Services Research was a lower priority, as the majority of participants were happy with their care. Clinical medicine was not a high priority as young people were happy with their medication or uncomfortable with trying new ones. Finally, for nearly all groups, Public Health was a low priority. Differences were also observed between the two age groups and across the geographically diverse focus groups.ConclusionUnderstanding young people’s research priorities is important to develop research that is in tune with their needs. The results highlight the importance of considering the whole age range of adolescence and young adulthood as well as geographical diversity. The findings from this work will inform the future research of the Barbara Ansell National Network for Adolescent Rheumatology BANNAR in the UK.