Meta-analysis of Renin Angiotensin Aldosterone Modulators Mitigating Atrial Fibrillation Risk in Hypertensive Patients.

INTRODUCTION: Hypertension is associated with left ventricular hypertrophy/enlargement/fibrosis and atrial ectopic rhythm, leading to an increased risk of Atrial Fibrillation (AF). We aimed to stratify the effect of Angiotensin Converting Enzyme Inhibitors (ACEi) and Angiotensin Receptor Blockers (ARB) on the risk of AF. METHODS: PubMed, Scopus, and Google Scholar databases were screened, and cross-citation was conducted for studies reporting AF in hypertensive patients on ACEi and ARB. Of 145 studies found till May 2023, 19 were included in this study. Binary random-effects models estimated the pooled odds ratios, I2 statistics assessed heterogeneity and sensitivity analysis was assessed using the leave-one-out method. RESULTS: 153,559 hypertensive patients met the inclusion criteria. For incidental AF, ACEi and ARB showed a significant decrease in both unadjusted (OR 0.75, 95% CI [0.66- 0.85], I²=20.79%, p=0.29) and adjusted risks (OR 0.76, 95% CI [0.62-0.93], I²=88.41%, p<0.01). In recurrent AF, the unadjusted analysis showed no significant effect (OR 0.89, 95% CI [0.55-1.42], I²=78.44%, p<0.01), while the adjusted analysis indicated a reduced risk (OR 0.62, 95% CI [0.50-0.76], I²=65.71%, p<0.01). Leave-one-out sensitivity analysis confirmed these results. CONCLUSIONS: ACEi and ARB considerably decrease the risk of incidental and recurrent AF in hypertensive patients, emphasizing the importance of treating clinical hypertension with these drugs.

African American Preschoolers' Performance on Norm-Referenced Language Assessments: Examining the Effect of Dialect Density and the Use of Scoring Modifications.

PURPOSE: We investigated and compared the outcomes from two standardized, norm-referenced screening assessments of language (i.e., Clinical Evaluation of Language Fundamentals Preschool-Second Edition [CELFP-2], Diagnostic Evaluation of Language Variation-Screening Test [DELV-ST]) with African American preschoolers whose spoken dialect differed from that of General American English (GAE). We (a) described preschoolers' performance on the CELFP-2 Core Language Index (CLI) and its subtests with consideration of degree of dialect variation (DVAR) observed, (b) investigated how the application of dialect-sensitive scoring modifications to the expressive morphology and syntax Word Structure (WS) subtest affected CELFP-2 CLI scores, and (c) evaluated the screening classification agreement rates between the DELV-ST and the CELFP-2 CLI. METHOD: African American preschoolers (N = 284) completed the CELFP-2 CLI subtests (i.e., Sentence Structure, WS, Expressive Vocabulary) and the DELV-ST. Density of spoken dialect use was estimated with the DELV-ST Part I Language Variation Status, and percentage of DVAR was calculated. The CELFP-2 WS subtest was scored with and without dialect-sensitive scoring modifications. RESULTS: Planned comparisons of CELFP-2 CLI performance indicated statistically significant differences in performance based on DELV-ST-determined degree of language variation groupings. Scoring modifications applied to the WS subtest increased subtest scaled scores and CLI composite standard scores. However, preschoolers who demonstrated strong variation from GAE continued to demonstrate significantly lower performance than preschoolers who demonstrated little to no language variation. Affected-status agreement rates between assessments (modified and unmodified CELFP-2 CLI scores and DELV-ST Part II Diagnostic Risk Status) were extremely low. CONCLUSIONS: The application of dialect-specific scoring modifications to standardized, norm-referenced assessments of language must be simultaneously viewed through the lenses of equity, practicality, and psychometry. The results of our multistage study reiterate the need for reliable methods of identifying risk for developmental language disorder within children who speak American English dialects other than GAE. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.26017978.

Distance to endoscopy services amplifies racial inequities in colorectal cancer mortality in Washington state.

BACKGROUND: This study evaluates relationships among race, access to endoscopy services, and colorectal cancer (CRC) mortality in Washington state (WA). METHODS: We overlayed the locations of ambulatory endoscopy services with place of residence at time of death, using Department of Health data (2011-2018). We compared CRC mortality data within and outside a 10 â€‹km buffer from services. We used linear regression to assess the impact of distance and race on age at death while adjusting for gender and education level. RESULTS: Age at death: median 72.9y vs. 68.2y for white vs. non-white (p â€‹< â€‹0.001). The adjusted model showed that non-whites residing outside the buffer died 6.9y younger on average (p â€‹< â€‹0.001). Non-whites residing inside the buffer died 5.2y younger on average (p â€‹< â€‹0.001), and whites residing outside the buffer died 1.6y younger (p â€‹< â€‹0.001). We used heatmaps to geolocate death density. CONCLUSIONS: Results suggest that geographic access to endoscopy services disproportionately impacts non-whites in Washington. These data help identify communities which may benefit from improved access to alternative colorectal cancer screening methods.

Modeling Item-Level Spelling Variance in Adults: Providing Further Insights into Lexical Quality.

Purpose: The lexical quality (LQ) hypothesis predicts that a skilled reader's lexicon will be inhabited by a range of low- to high-quality items, and the probability of representing a word with high quality varies as a function of person-level, word-level, and item-specific variables. These predictions were tested with spelling accuracy as a gauge of LQ. Method: Item-response based crossed random effects models explored simultaneous contributions of person-level (e.g., participant's decoding skill), word-level (e.g., word's transparency rating), item-specific (e.g., participant's familiarity with specific word), and person-by-word interaction predictors (e.g., decoding by transparency rating interaction) to the spelling of 25 commonly misspelled irregular English words in 61 undergraduate university students (M = 19.4 years, 70.49% female, 39.34% Hispanic, 81.97% White). Results: Substantial variance among individuals in item-level spelling accuracy was accounted for by person-level decoding skill; item-specific familiarity, proportion of schwas correctly represented, and correctly identifying the word from its mispronunciation; and an interaction of transparency rating by general decoding skill. Conclusions: Consistent with the LQ hypothesis, results suggest that one's ability to form a high-quality lexical representation of a given word depends on a complex combination of person-level abilities, word-level characteristics, item-specific experiences, and an interaction between person- and word-level influences.

Learning few-shot imitation as cultural transmission.

Cultural transmission is the domain-general social skill that allows agents to acquire and use information from each other in real-time with high fidelity and recall. It can be thought of as the process that perpetuates fit variants in cultural evolution. In humans, cultural evolution has led to the accumulation and refinement of skills, tools and knowledge across generations. We provide a method for generating cultural transmission in artificially intelligent agents, in the form of few-shot imitation. Our agents succeed at real-time imitation of a human in novel contexts without using any pre-collected human data. We identify a surprisingly simple set of ingredients sufficient for generating cultural transmission and develop an evaluation methodology for rigorously assessing it. This paves the way for cultural evolution to play an algorithmic role in the development of artificial general intelligence.

Spelling-to-pronunciation transparency ratings for the 20,000 most frequently written English words.

Given English orthography's quasi-regular nature, applying common decoding rules to a word does not always result in a correct pronunciation matching the stored phonological form (e.g., the word tongue). To arrive at a correct pronunciation, developing readers must make the match between a decoded pronunciation and a word's correct pronunciation stored in memory. Developmentally, this matching process varies as a function of child skill (e.g., decoding, vocabulary) and word characteristics (e.g., spelling-to-pronunciation transparency, concreteness), with each being continuously distributed. Spelling-to-pronunciation transparency ratings represent a global measure of the ease of arriving at a word's correct pronunciation from its decoded pronunciation and in experimental studies has been shown to be a critical dimension in assessing the difficulty of a word for developing readers (e.g., Steacy et al., 2022a, 2022b). This study aimed to create a database of spelling-to-pronunciation transparency ratings for the 23,282 most frequently written English words, made available in the supplemental materials for future analyses. We asked adults to rate words' spelling-to-pronunciation transparency on a scale of 1-6 (1 = very easy to match, 6 = very difficult). Results of multiple regression analyses revealed variance in ratings to be unaccounted for by other word features, demonstrating the uniqueness of these ratings. Furthermore, words that are considered irregular, classified previously as strange, or contained at least one schwa received higher ratings, demonstrating strong associations between transparency and regularity. Lastly, these ratings significantly predicted both adult word naming time and child word reading accuracy above and beyond other word features known to predict reading.

Releasing and tracking the distribution of adventive Trissolcus japonicus (Hymenoptera: Scelionidae) in Virginia.

Adventive populations of Trissolcus japonicus (Ashmead), an egg parasitoid of the invasive agricultural pest, brown marmorated stink bug, Halyomorpha halys (Stål) (Hemiptera: Pentatomidae), have been detected in the United States since 2014. Given its importance as an H. halys biocontrol agent, efforts to redistribute T. japonicus began within some US states. Our surveillance for T. japonicus in northwestern Virginia in 2016-2017 yielded annual detections only in 1 county. Thus, to promote its broader establishment, releases of H. halys egg masses parasitized by T. japonicus from Virginia occurred in 2018 (2 releases) and 2020 (1 release) at 9 sites throughout Virginia's tree fruit production regions. Monitoring of T. japonicus and H. halys, using yellow sticky cards deployed in H. halys host trees and pheromone-baited sticky traps, respectively, was conducted from 2018 to 2022. Annual captures of H. halys adults and nymphs appeared to reflect adequate populations to support T. japonicus establishment across most or all sites. Prerelease monitoring yielded a single T. japonicus at 1 site. By 2022, T. japonicus was detected at or near 7 of the remaining 8 release sites, with first detections varying between 1 and 2 yr from the releases in 2018 and 2020. Captures at most sites were very low, but establishment at several locations was indicated by detections in 2-4 seasons. In 2022, T. japonicus surveillance at 11 additional sites in northwestern Virginia yielded detections at all locations, including those at which it had not been detected in 2016-2017, providing evidence for its range expansion.

Set for Variability as a Critical Predictor of Word Reading: Potential Implications for Early Identification and Treatment of Dyslexia.

Quasiregular orthographies such as English contain substantial ambiguities between orthography and phonology that force developing readers to acquire flexibility during decoding of unfamiliar words, a skill referred to as a "set for variability" (SfV). The ease with which a child can disambiguate the mismatch between the decoded form of a word and its actual lexical phonological form has been operationalized using the SfV mispronunciation task (e.g., the word wasp is pronounced to rhyme with clasp [i.e., /wæsp/] and the child must recognize the actual pronunciation of the word to be /wɒsp/). SfV has been shown to be a significant predictor of word reading variance. However, little is known about the relative strength of SfV as a predictor of word reading compared to other well-established predictors or the strength of this relationship in children with dyslexia. To address these questions, we administered the SfV task to a sample of grade 2-5 children (N=489) along with other reading related measures. SfV accounted for 15% unique variance in word reading above and beyond other predictors, whereas phonological awareness (PA) accounted for only 1%. Dominance analysis indicated SfV is the most powerful predictor, demonstrating complete statistical dominance over other variables including PA. Quantile regression revealed SfV is a stronger predictor at lower levels of reading skill, indicating it may be an important predictor in students with dyslexia. Results suggest that SfV is a powerful and potentially highly sensitive predictor of early reading difficulties and, therefore, may be important for early identification and treatment of dyslexia.

WITHDRAWN: Non-Anti-TNF Biologics as Salvage Therapy for Refractory Acute Severe Ulcerative Colitis, A Systematic Review

Since the authors are not responding to the editor's requests to fulfill the editorial requirement, therefore, the article has been withdrawn.Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Caring for the Caregiver (C4C): An Integrated Stepped Care Model for Caregivers of Children With Medical Complexity.

Children with medical complexity (CMC) are a medically fragile subset of children who rely on parental caregivers for substantial care needs. Caregivers of CMC often experience adverse health outcomes such as depression and anxiety, sleep deprivation, financial hardships, and social isolation. Caregivers of CMC are at risk of premature mortality, which is thought to be mediated by chronic and elevated stress, as well as psychiatric morbidity risk. Access to mental health care, where the needs of both the caregiver and child are considered, can enable caregivers to meet high caregiving demands and improve both child and caregiver outcomes. We describe the Caring for the Caregiver (C4C) model, a novel integrated stepped care model consisting of collaboration between a psychiatrist and a pediatric complex care program. This model provides support in 3 steps: 1) early identification of distress, 2) social work assessment, intervention and psychotherapy, and 3) psychiatric care, including diagnosis or medication initiation, for caregivers of CMC. This innovative model will be the first to embed support for the mental health needs of caregivers of CMC within a pediatric team, facilitating access to psychiatric care and serving as a foundation for future integrated stepped care models.

The role and timing of endoscopic retrograde cholangiopancreatography in acute biliary pancreatitis without cholangitis: A nationwide analysis.

BACKGROUND/PURPOSE: The role and optimal timing of endoscopic retrograde cholangiopancreatography (ERCP) in acute biliary pancreatitis without cholangitis (ABPwoC) remains unclear. Using a large national database, we aimed to examine hospitalization outcomes of patients with ABPwoC as a function of the performance and timing of ERCP. METHODS: This was a retrospective study of adult patients with ABPwoC utilizing the National Inpatient Sample from 2016-2017. Patients who underwent inpatient ERCP were stratified into performance: within 24, 24-48, 48-72, and >72 h of hospital admission. The primary outcome was all-cause inpatient mortality as a function of the performance and timing of ERCP; secondary outcomes, including healthcare utilization, were assessed. Multivariate modeling was used to adjust for potential confounders. Statistical analyses were conducted using STATA, version 16.0. RESULTS: Of the 70 030 patients with ABPwoC, 31.37% underwent inpatient ERCP. Performance (aOR: 0.6, p < .05), but not timing (aOR: 0.98, p = .9), of inpatient ERCP was associated with significantly lower all-cause inpatient mortality. Urgent ERCP (within 24 h) was associated with shorter hospital length of stay, lower charges and cost, and less need for pancreatic drainage procedures, while ERCP within 72 h was associated with less frequent intensive care unit admission (all p < .05). DISCUSSION: Based on this large, nationwide analysis, inpatient ERCP for ABPwoC is associated with lower all-cause mortality. ERCP within 24 and 72 h, though not associated with lower mortality, are associated with multiple improved clinical outcomes, including lower healthcare charges and costs.

Using State All-Payer Claims Data to Identify the Active Primary Care Workforce: A Novel Study in Virginia.

PURPOSE: Primary care is the foundation of the health care workforce and the only part that extends life and improves health equity. Previous research on the geographic and specialty distribution of physicians has relied on the American Medical Association's Masterfile, but these data have limitations that overestimate the workforce. METHODS: We present a pragmatic, systematic, and more accurate method for identifying primary care physicians using the National Plan and Provider Enumeration System (NPPES) and the Virginia All-Payer Claims Database (VA-APCD). Between 2015 and 2019, we identified all Virginia physicians and their specialty through the NPPES. Active physicians were defined by at least 1 claim in the VA-APCD. Specialty was determined hierarchically by the NPPES. Wellness visits were used to identify non-family medicine physicians who were providing primary care. RESULTS: In 2019, there were 20,976 active physicians in Virginia, of whom 5,899 (28.1%) were classified as providing primary care. Of this primary care physician workforce, 52.4% were family medicine physicians; the remaining were internal medicine physicians (18.5%), pediatricians (16.8%), obstetricians and gynecologists (11.8%), and other specialists (0.5%). Over 5 years, the counts and relative percentages of the workforce made up by primary care physicians remained relatively stable. CONCLUSIONS: Our novel method of identifying active physicians with a primary care scope provides a realistic size of the primary care workforce in Virginia, smaller than some previous estimates. Although the method should be expanded to include advanced practice clinicians and to further delineate the scope of practice, this simple approach can be used by policy makers, payers, and planners to ensure adequate primary care capacity.

Myrica cerifera, a Medicinal Plant of the Lumbee Tribe, has Antibacterial and Nematicidal Properties.

Currently threatening the world of medicine is a growing number of antibiotic-resistant diseases. More specifically, bacteria and nematodes have gained resistance to many of the world's leading antibiotics and nematicides, respectively, making infections more difficult to treat. Subsequently, these parasitic organisms are able to continue damaging crops and other living organisms like humans without strong interference. To help people and the environment, the development of new and novel antibiotics is vital. Previous research suggests that phytochemicals are a potential solution that will not only help inhibit bacterial growth but also reduce nematode survival. We hypothesized that Myrica cerifera, a plant often used by the Lumbee tribe to treat illness, possesses antibacterial and nematicidal properties. To answer our hypothesis, we began by collecting plant specimens to extract material for biological assays and to subsequently isolate and elucidate the structures of active components. The extract was evaluated for antibacterial properties with an agar diffusion assay and then nematicidal properties using Caenorhabditis elegans. M. cerifera extract was added onto an agar lawn at various doses, and the nematodes' lifespans were scored. The findings of this study show that extracts of this plant, more commonly referred to as 'wax myrtle', do significantly decrease the lifespan of C. elegans and increase the zone of inhibition for Staphylococcus epidermidis and Staphylococcus aureus. In addition, two compounds were isolated and characterized through chemical extraction, chromatographic separation, and spectroscopic analysis. These compounds could potentially be used to treat bacterial and nematode infections.

Screening screeners: calculating classification indices using correlations and cut-points.

Given the recent push for universal screening, it is important to take into account how well a screener identifies children at risk for reading problems as well as how screener and sample information contribute to this classification. Picking the best cut-point for a particular sample and screening goal can be challenging given that test manuals often report classification information for a specific cut-point and sample base rate which may not generalize to other samples. By assuming a bivariate normal distribution, it is possible to calculate all of the classification information for a screener based on the correlation between the screener and outcome, the cut-point on the outcome (i.e., the base rate in the sample), and the cut-point on the screener. We provide an example with empirical data to validate these estimation procedures. This information is the basis for a free online tool that provides classification information for a given correlation between screener and outcome and cut-points on each. Results show that the correlation between screener and outcome needs to be greater than .9 (higher than observed in practice) to obtain good classification. These findings are important for researchers, administrators, and practitioners because current screeners do not meet these requirements. Since a correlation is dependent on the reliability of the measures involved, we need screeners with better reliability and/or multiple measures to increase reliability. Additionally, we demonstrate the impact of base rate on positive predictive power and discuss how gated screening can be useful in samples with low base rates.

Prescribing Patterns of Antihypertensive Agents and Blood Pressure Control Among Patients With Incident Stage 2 Hypertension.

Background: Initiation of appropriate antihypertensive therapy is crucial, particularly among patients with stage 2 hypertension, whom initiation of dual antihypertensive agents is suggested. Little is known regarding real-world prescribing of antihypertensive agents for patients with incident stage 2 hypertension. Objective: The primary objective was to describe prescribing patterns of antihypertensive therapy among patients with incident stage 2 hypertension. The secondary objectives included determining association of blood pressure (BP) control with initial multiple antihypertensive agents. Methods: Retrospective cohort analysis was conducted using electronic medical records from 6 primary care clinics between January 2014 and June 2019. Included patients were ≥18 years with an initial diagnosis of stage 2 hypertension, defined as BP ≥160/100 mm Hg Primary analysis was characterizing prescribing patterns of antihypertensive agents among patients with incident stage 2 hypertension. Investigation of BP control (<140/90 mm Hg) at 3 months of diagnosis was also performed. Results: We identified 261 patients with incident stage 2 hypertension (mean age, 52 years; 53.2% males; mean baseline BP, 162.1/100.1 mm Hg). Approximately 72% of patients were initiated on single antihypertensive agent, with the most common being angiotensin receptor blockers (ARBs; 25.7%) and angiotensin-converting-enzyme (ACE) inhibitors (24.6%). Commonly initiated multiple antihypertensive agents were ACE-inhibitor + thiazide-like diuretic (52.7%), followed by an ARB + thiazide-like diuretic (21.6%). Multiple antihypertensive therapy was associated with improved BP control at 3 months (adjusted odds ratio [OR], 3.54; 95% confidence interval [CI], 1.55-8.06). Conclusion: Majority of patients with incident stage 2 hypertension were prescribed initial single antihypertensive therapy, though better BP control at 3 months was seen among those initiated on multi-antihypertensive therapy.

Sulfur Availability Impacts Accumulation of the 2-Thiouridine tRNA Modification in Bacillus subtilis.

Posttranscriptional modifications to tRNA are critical elements for the folding and functionality of these adaptor molecules. Sulfur modifications in tRNA are installed by specialized enzymes that act on cognate tRNA substrates at specific locations. Most studied organisms contain a general cysteine desulfurase to mobilize sulfur for the synthesis of S-tRNA and other thio-cofactors. Bacillus subtilis and other Gram-positive bacteria encode multiple cysteine desulfurases that partner with specific sulfur acceptors in the biosynthesis of thio-cofactors. This metabolic layout suggests an alternate mode of regulation in these biosynthetic pathways. In this study, tRNA modifications were exploited as a readout for the functionality of pathways involving cysteine desulfurases. These analyses showed that the relative abundance of 2-thiouridine-modified tRNA (s2U) responds to sulfur availability in the growth medium in a dose-dependent manner. This study found that low sulfur concentrations lead to decreased levels of the s2U cysteine desulfurase YrvO and thiouridylase MnmA, without altering the levels of other cysteine desulfurases, SufS, NifS, and NifZ. Analysis of pathway metabolites that depend on the activity of cysteine desulfurases indicates that sulfur nutrient availability specifically impacts s2U accumulation while having no effect on the levels of other S-modified tRNA or activity levels of Fe-S enzymes. Collectively, these results support a model in which s2U tRNA serves as a marker for sulfur availability in B. subtilis. IMPORTANCE The 2-thiouridine (s2U) tRNA modification is found ubiquitously across all domains of life. YrvO and MnmA, the enzymes involved in this modification, are essential in B. subtilis, confirming the well-established role of s2U in maintaining translational efficiency and, consequently, cellular viability. Herein, we show that in the model Gram-positive organism Bacillus subtilis, the levels of s2U are responsive to sulfur availability. Downregulation of the s2U biosynthetic components leads to lower s2U levels, which may serve as a signal for the slowing of the translational apparatus during cellular nutrient insufficiency. Our findings provide the basis for the identification of a potential bacterial mode of regulation during S-metabolite depletion that may use s2U as a marker of suboptimal metabolic status.

Unpacking the Unique Relationship Between Set for Variability and Word Reading Development: Examining Word- and Child-Level Predictors of Performance.

Set for variability (SfV) is an oral language task which requires an individual to disambiguate the mismatch between the decoded form of an irregular word and its actual lexical pronunciation. For example, in the task, the word wasp is pronounced to rhyme with clasp (i.e., /wæsp/) and the individual must recognize the actual pronunciation of the word to be /wɒsp/. SfV has been shown to be a significant predictor of both item-specific and general word reading variance above and beyond that associated with phonemic awareness skill, letter-sound knowledge, and vocabulary skill. However, very little is known about the child characteristics and word features that affect SfV item performance. In this study we explored whether word features and child characteristics that involve phonology only are adequate to explain item-level variance in SfV performance or whether including predictors that involve the connection between phonology and orthography explain additional variance. To accomplish this we administered the SfV task (N=75 items) to a sample of grade 2-5 children (N=489) along with a battery of reading, reading related, and language measures. Results suggest that variance in SfV performance is uniquely accounted for by measures tapping phonological skill along with those capturing knowledge of phonology to orthography associations, but more so in children with better decoding skill. Additionally, word reading skill was found to moderate the influence of other predictors suggesting that how the task is approached may be impacted by word reading and decoding ability.

Modeling Complex Word Reading: Examining Influences at the Level of the Word and Child on Mono- and Polymorphemic Word Reading.

Purpose: The probability of a child reading a word correctly is influenced by both child skills and properties of the word. The purpose of this study was to investigate child-level skills (set for variability and vocabulary), word-level properties (concreteness), word structure (mono- vs. polymorphemic), and interactions between these properties and word structure within a comprehensive item-level model of complex word reading. This study is unique in that it purposely sampled both mono- and polymorphemic polysyllabic words. Method: A sample of African American (n = 69) and Hispanic (n =6) students in grades 2-5 (n =75) read a set of mono- and polymorphemic polysyllabic words (J=54). Item-level responses were modeled using cross-classified generalized random-effects models allowing variance to be partitioned between child and word while controlling for other important child factors and word features. Results: Set for variability and the interaction between concreteness and word structure (i.e., mono- vs. polymorphemic) were significant predictors. Higher probabilities of reading poly- over monomorphemic words were identified at lower levels of concreteness with the opposite at higher levels of concreteness. Conclusions: Results indicate important predictors at both the child- and word-level and support the importance of morphological structure for reading abstract polysyllabic words.

A Simulation Study on the Performance of Different Reliability Estimation Methods.

The accuracy of certain internal consistency estimators have been questioned in recent years. The present study tests the accuracy of six reliability estimators (Cronbach's alpha, omega, omega hierarchical, Revelle's omega, and greatest lower bound) in 140 simulated conditions of unidimensional continuous data with uncorrelated errors with varying sample sizes, number of items, population reliabilities, and factor loadings. Estimators that have been proposed to replace alpha were compared with the performance of alpha as well as to each other. Estimates of reliability were shown to be affected by sample size, degree of violation of tau equivalence, population reliability, and number of items in a scale. Under the conditions simulated here, estimates quantified by alpha and omega yielded the most accurate reflection of population reliability values. A follow-up regression comparing alpha and omega revealed alpha to be more sensitive to degree of violation of tau equivalence, whereas omega was affected greater by sample size and number of items, especially when population reliability was low.

tRNA Modifications as a Readout of S and Fe-S Metabolism.

Iron-Sulfur (Fe-S) clusters function as core prosthetic groups known to modulate the activity of metalloenzymes, act as trafficking vehicles for biological iron and sulfur, and participate in several intersecting metabolic pathways. The formation of these clusters is initiated by a class of enzymes called cysteine desulfurases, whose primary function is to shuttle sulfur from the amino acid L-cysteine to a variety of sulfur transfer proteins involved in Fe-S cluster synthesis as well as in the synthesis of other thiocofactors. Thus, sulfur and Fe-S cluster metabolism are connected through shared enzyme intermediates, and defects in their associated pathways cause a myriad of pleiotropic phenotypes, which are difficult to dissect. Post-transcriptionally modified transfer RNA (tRNA) represents a large class of analytes whose synthesis often requires the coordinated participation of sulfur transfer and Fe-S enzymes. Therefore, these molecules can be used as biologically relevant readouts for cellular Fe and S status. Methods employing LC-MS technology provide a valuable experimental tool to determine the relative levels of tRNA modification in biological samples and, consequently, to assess genetic, nutritional, and environmental factors modulating reactions dependent on Fe-S clusters. Herein, we describe a robust method for extracting RNA and analytically evaluating the degree of Fe-S-dependent and -independent tRNA modifications via an LC-MS platform.