Relationships between working memory, expressive vocabulary and arithmetical reasoning in children with and without intellectual disabilities.

This experiment examined the relationships between working memory and two measures of achievement, namely expressive vocabulary and arithmetical reasoning, in children with and without intellectual disabilities (ID). For 11-12-year-old children with intellectual disabilities, memory measures tapping the central executive were the most important predictors of both expressive vocabulary and arithmetical reasoning, with phonological memory making a small additional contribution to expressive vocabulary. For mainstream 11-12-year-old children, phonological memory was the best predictor of expressive vocabulary, whereas, arithmetical reasoning ability was predicted by visual memory and to a lesser extent phonological memory. The third group of children, 7-8-year-old mainstream children, had been matched on mental age with the intellectual disability group. For these children the most important predictor of expressive vocabulary was phonological memory, with a small additional contribution from visual memory. Arithmetical reasoning was best predicted by memory measures tapping the central executive with an additional contribution from phonological memory. These results suggest that different working memory resources are used by children of varying ages and ability levels to carry out at least some cognitive tasks

Value Innovation Strategy and the Performance of Roofing Sheet Manufacturers in Kenya

The production and uptake of locally manufactured roofing sheets have been on a steady downward trajectory over the last ten years, leading to a significant decline in revenue and employment in the sector. Kenya’s roofing sheet production fell more than 8 percent in 2019 following a decline that started with weakening demand in 2010. Value innovation strategy prescribes a path to positively sustaining performance by shifting firms from cut-throat market competition (the red ocean) to a wide-open new uncontested market space (the blue ocean). It argues that operating in "cutthroat and saturated markets" results in a "red ocean of rivals fighting over a shrinking profit pool." The main purpose of this study was to establish the effect of value innovation strategy on the performance of roofing sheet manufacturers in Kenya. The study adopted a mixed research method and employed a descriptive research design. The target population consisted of 241 employees drawn from all the fifteen (15) roofing sheet manufacturers in Kenya registered with the Kenya Association of Manufactures (KAM), from whom a sample size of one hundred and twenty-seven (127) employees was selected using the Krejcie and Morgan table formula. The findings of this study have illuminated a statistically significant positive effect of value innovation on firm performance, as evidenced by R-squared values of 0.687 (68.7%), with p-value of 0.00, way below the significance threshold of 0.05. The statistics imply that 68.7% of the variance in the performance of roofing sheet manufacturers can be attributed to the adoption of the value innovation strategy. Consequently, the study recommends that roofing sheet manufacturers must prioritize the adoption of need-based value innovation to ensure sustainable performance. Keywords: Value innovation, firm performance, and blue ocean DOI: 10.7176/EJBM/16-2-09 Publication date:March 31st 202

Participation in Selected USDA Programs by Socially Disadvantaged Farmers in Selected Black Belt Counties in Georgia

This study examines the characteristics of African American Farmers (AAFs), a significant subgroup of socially disadvantaged farmers (SDFs) in the U.S. South, and their overall awareness of USDA programs. Specifically, these programs include the Farm Ownership Loan (FOL) and Operating Loan (OL) programs, the Environmental Quality Incentive Program (EQIP), and the Value-Added Producer Grant (VAPG) program. It also investigates the main reasons for participation and non-participation in these programs, assesses the relationship between program application and the rate of approval, and examines the relationship between USDA program outreach to SDFs and program implementation. Using convenience sampling, data collected from respondents in southwest Georgia were analyzed and presented descriptively in tables and graphs. Results indicate that awareness was high with the FOL/OL programs but applications and approvals were low for FOL. Equally, awareness was high for EQIP but not the VAPG program, while participation was low for both. Reasons for non-participation were AAFs thinking they did not qualify for all programs, lack of collateral, complicated reporting requirements, and incomplete applications

Living in the Explore House: A Major and Career Exploration-Focused Residential Learning Community for Undecided Students

Scholarship on students who enter college without a declared major indicates that this population of students faces unique challenges (Anderson, 1985; Beal & Noel, 1980; Lewallen, 1993), but also may be more likely to persist to graduation and earn higher grades than those who enter college with a declared major (Lewallen, 1995). Based on undecided students’ needs for academic, career, and personal resources (Zarvell & Rigby, 1994), this article describes the implementation of a residential learning community (RLC) focused specifically on providing undecided students with in-hall programming and services related to academic major and career exploration, and provides implications for future implementation

Interventions targeting working memory in 4-11 year olds within their everyday contexts: A systematic review.

It has been suggested that diverse interventions applied within children's everyday contexts have the potential to improve working memory (WM) and produce transfer to real-world skills but little is known about the effectiveness of these approaches. This review aims to examine systematically the effectiveness of non-computerised interventions with 4-11 year olds to identify: (i) their effects on WM; (ii) whether benefits extend to near- and far-transfer measures; (iii) if gains are sustained over time; (iv) the active ingredients; and (v) the optimum dosage. Searches were conducted across 12 electronic databases using consistent keywords. Papers were screened by title and abstract (n = 6212) and judged against pre-defined eligibility criteria (n = 63). Eighteen papers were included in the review. They used a range of non-computerised WM intervention approaches that included: (i) adapting the environment to reduce WM loads; (ii) direct WM training with and without strategy instruction; and (iii) training skills which may indirectly impact on WM (physical activity, phonological awareness, fantastical play and inhibition). Both direct training on WM tasks and practicing certain skills that may impact indirectly on WM (physical activity, fantastical play and inhibition) produced improvements on WM tasks, with some benefits for near-transfer activities. The common ingredient across effective interventions was the executive-loaded nature of the trained task i.e., training on a task that taps into attentional and processing resources under executive control and not just the storage of information. Few studies reported dosage effects, measured far-transfer effects (n = 4), or tested the durability of gains over time (n = 4). The lack of a clear theoretical framework in many of the included studies resulted in ambiguous predictions about training and transfer effects, and inadequate use of outcome measures. Methodological issues also constrain the strength of the evidence, including: small samples sizes; an absence of blinding of participant and outcome assessors; and lack of active control groups. Further well-designed and controlled studies with clear theoretical underpinnings are required to expand and enhance the evidence base. The heterogeneity of the interventions and of the study designs (randomised and non-randomised) in the included papers limited the synthesis of evidence across studies. However, this diversity enabled the identification of key ingredients, notably the training of executive-loaded WM tasks, which can help inform novel approaches to WM intervention in everyday contexts

High-contrast spectroscopy of SCR J1845-6357 B

Spectral characterization of sub-stellar companions is essential to understand their composition and formation processes. However, the large contrast ratio of the brightness of each object to that of its parent star limits our ability to extract a clean spectrum, free from any significant contribution from the star. During the development of the long slit spectroscopy (LSS) mode of IRDIS, the dual-band imager and spectrograph of SPHERE, we proposed a data analysis method to estimate and remove the contributions of the stellar spectrum. This method has never been tested on real data because of the lack of instrumentation capable of combining adaptive optics (AO), coronagraphy, and LSS. Nonetheless, a similar attenuation of the star can be obtained using a particular observing configuration. Test data were acquired using the AO-assisted spectrograph VLT/NACO. We obtained new J- and H-band spectra of SCR J1845-6357 B, a T6 companion to a nearby (3.85\pm0.02 pc) M8 star. This system is a well-suited benchmark as it is relatively wide (~1.0") with a modest contrast ratio (~4 mag), and a previously published JHK spectrum is available for reference. We demonstrate that (1) our method is efficient at estimating and removing the stellar contribution, (2) it allows to properly recover the spectral shape of the companion, and (3) it is essential to obtain an unbiased estimation of physical parameters. We also show that the slit configuration associated with this method allows us to use long exposure times with high throughput producing high signal-to-noise ratio data. However, the signal of the companion gets over-subtracted, particularly in our J-band data, compelling us to use a fake companion spectrum to estimate and compensate for the loss of flux. Finally, we report a new astrometric measurement of the position of the companion (sep = 0.817", PA = 227.92 deg).Comment: 11 pages, 8 figures, 4 tables. Accepted for publication in A&

Photometric analysis of the eclipsing binary 2MASS 19090585+4911585

We report on observations of the eclipsing binary 2MASS 19090585+4911585 with the 25 cm auxiliary telescope of the University Observatory Jena. We show that a nearby brighter star (2MASS 19090783+4912085) was previously misclassified as the eclipsing binary and find 2MASS 19090585+4911585 to be the true source of variation. We present photometric analysis of VRI light curves. The system is an overcontact binary of W UMa type with an orbital period of (0.288374 +/- 0.000010) d.Comment: 7 pages, 7 figures, 5 tables, accepted for publication in A

Galaxy Nurseries: Crowdsourced analysis of slitless spectroscopic data

We present the results of Galaxy Nurseries project, which was designed to enable crowdsourced analysis of slitless spectroscopic data by volunteer citizen scientists using the Zooniverse online interface. The dataset was obtained by the WFC3 Infrared Spectroscopic Parallel (WISP) Survey collaboration and comprises NIR grism (G102 and G141) and direct imaging. Volunteers were instructed to evaluate indicated spectral features and decide whether it was a genuine emission line or more likely an artifact. Galaxy Nurseries was completed in only 40 days, gathering 414,360 classifications from 3003 volunteers for 27,333 putative emission lines. The results of Galaxy Nurseries demonstrate the feasibility of identifying genuine emission lines in slitless spectra by citizen scientists. Volunteer responses for each subject were aggregated to compute $f_{\mathrm{Real}}$, the fraction of volunteers who classified the corresponding emission line as "Real". To evaluate the accuracy of volunteer classifications, their aggregated responses were compared with independent assessments provided by members of the WISP Survey Science Team (WSST). Overall, there is a broad agreement between the WSST and volunteers' classifications, although we recognize that robust scientific analyses typically require samples with higher purity and completeness than raw volunteer classifications provide. Nonetheless, choosing optimal threshold values for $f_{\mathrm{Real}}$ allows a large fraction of spurious lines to be vetoed, substantially reducing the timescale for subsequent professional analysis of the remaining potential lines.Comment: Accepted for publication in Research Notes of the AA

Meeting Potential New U.S. Climate Goals

We explore the performance of a potential addition to U.S. climate policy using authority under Section 115 of the Clean Air Act, with special attention to distributional effects among the states. This portion of the Act concerns trans-boundary air pollution, and under its provisions a national greenhouse target could be allocated among the states, with the details of state implementation optionally guided by a model rule as under other provisions of the Act. With trading allowed among the states, such a measure could lead to a national price on the covered gases. While we adopt features of a possible Section 115 implementation, the illustrative analysis is applicable to similar cap-and-trade programs that might be adopted under other authorities. We investigate the implications of such a policy using MIT’s U.S. Regional Energy Policy (USREP) model, with its electric sector replaced by the Renewable Energy Development System (ReEDS) model developed by the U.S. National Renewable Energy Laboratory. Existing federal and state climate policies are assumed to remain in place, and a national constraint on CO2 emissions is applied to achieve 45% or 50% reductions below the 2005 level by 2030. We apply the policies in a Baseline and a Low-Cost Baseline, the latter with more aggressive assumptions of technology cost improvements. The U.S. is aggregated to 18 individual states and 12 multi-state regions, and the effects of the national emissions restriction are investigated under three alternative methods by which the EPA might allocate these targets among the states. We find the cost of achieving either target to be modest - allowing for nearly identical economic growth, even without taking account of air quality and climate benefits. The alternative allocation methods generate varying per capita revenue outcomes among states and regions and drive most of the welfare impact through a direct income effect. It is assumed that states distribute permit revenue to their residents in equal lump-sum payments, which leads to net benefits to lower income households. Under the Low-Cost Baseline, carbon prices in 2030 are about ⅓ those in the Baseline, and the overall pre-benefit welfare effects are negligible. Considering climate benefits evaluated using the social cost of carbon and particulate matter air pollution health benefits, less the mitigation costs, we find net benefits in all cases, with slightly larger net benefits with the 50% reduction below 2005 emissions