The Louisiana Granting Resources and Autonomies for Diplomas Act: Exploring the Impact of a Performance-Based Funding Policy on Higher Education Effectiveness

In 2010 the Louisiana legislature adopted the Louisiana Granting Resources and Autonomies for Diplomas (GRAD) Act, a statewide performance-based funding policy designed to improve performance among public colleges. This study, utilizing data collected from the Integrated Postsecondary Education Data System (IPEDS) on 15 two-year public colleges over eight years, applied Generalized Least Squares (GLS) regression to retention rates, graduation rates, and degree productivity. Results suggest that the introduction of the policy had little immediate effect on overall institutional performance; however, there were some modest increases in long-term certificate productivity. Additionally, there were significant improvements in data quality throughout higher education after the introduction of the policy

The Louisiana Granting Resources and Autonomies for Diplomas Act: Exploring the Impact of a Performance-Based Funding Policy on Higher Education Effectiveness

In 2010 the Louisiana legislature adopted the Louisiana Granting Resources and Autonomies for Diplomas (GRAD) Act, a statewide performance-based funding policy designed to improve performance among public colleges. This study, utilizing data collected from the Integrated Postsecondary Education Data System (IPEDS) on 15 two-year public colleges over eight years, applied Generalized Least Squares (GLS) regression to retention rates, graduation rates, and degree productivity. Results suggest that the introduction of the policy had little immediate effect on overall institutional performance; however, there were some modest increases in long-term certificate productivity. Additionally, there were significant improvements in data quality throughout higher education after the introduction of the policy

Local authorities as niche actors: the case of energy governance in the UK

This paper draws from work conducted under the NERC-funded project 'Understanding energy governance at local and community levels'(Project Reference: NE/H013598/1). This project was a 24 month study carried out in collaboration with the UK Energy Research Council which began in April 2010. The particular workpackage from which these interviews were drawn specifically explores the role of local authorities in emerging energy and environmental responsibilities, paying particular attention to current institutional structures and how external forces and actors influence local authorities on their decision making and practices. It is concluded that whilst the role of local authorities has been changing in response to energy and environmental ‘landscape’ issues, their influence on the design and implementation of energy policy in the UK will correspondingly remain as an emerging process for the foreseeable future, with the more progressive local authorities continuing to exert political, social/cultural and technological influence over ways of designing, articulating, and engaging with energy governance at the local level

Employee Motivation and Job Performance of Selected Construction Companies in Rivers State

This study was to investigate the relationship between employee motivation and job performance of selected construction companies in Rivers State. In this study, we have two variables employee motivation as the independent variable and job performances as the dependent variable. Both of these variables have their dimensions and measures which will assist the researcher to find out the relationship that employee motivation and job performances of selected construction companies in Rivers State, the methodology adopted was descriptive research design to collect both primary and secondary data. The population of this study consists of 100 (one hundred) staff in the selected construction companies in Rivers State. The instrument used for data collection was a questionnaire in four point likert scale. 100 copies of questionnaire were distributed to employees of selected construction companies in Rivers State which 90 was retrieved for the analysis. The test-re-test method was adopted in assessing the reliability of the study instrument. The data were analysed using t-test, while three hypotheses were tested using cronbach alpha with the help of Statistical tool to establish the significance of relationship between employee motivation and job performance of selected construction companies in Rivers State. From the above it was recommended that organizations should emphasize on induction training. Employee motivation plays a vital role in job performance. Management should evaluate employee suggestion scheme and use the feedback from the workforce to improve the company’s environment and fulfill their needs and skills. People are different and they are motivated by diverse needs, such as physiological needs, safety requirements and self-actualization needs. Thus, managers should focus on reducing job dissatisfaction (working conditions, salary, supervision, relationship with employee), while using motivating factors such as achievement, recognition, promotion and conducive work environment. If employees feel appreciated for their work and are involved in decision-making, their enhanced enthusiasm and motivation will lead to better productivity and loyalty. The study recommends that Construction Companies should create better work environment, recognition and promotion for better job performance. The study recommends that Construction Companies should include employees in policy making which will boost their job performance

Identification of quantitative proteomic differences between Mycobacterium tuberculosis lineages with altered virulence

Evidence currently suggests that as a species Mycobacterium tuberculosis exhibits very little genomic sequence diversity. Despite limited genetic variability, members of the M. tuberculosis complex (MTBC) have been shown to exhibit vast discrepancies in phenotypic presentation in terms of virulence, elicited immune response and transmissibility. Here, we used qualitative and quantitative mass spectrometry tools to investigate the proteomes of seven clinically-relevant mycobacterial strains four M. tuberculosis strains, M. bovis, M. bovis BCG, and M. avium that show varying degrees of pathogenicity and virulence, in an effort to rationalize the observed phenotypic differences. Following protein preparation, liquid chromatography mass spectrometry (LC MS/MS) and data capture were carried out using an LTQ Orbitrap Velos. Data analysis was carried out using a novel bioinformatics strategy, which yielded high protein coverage and was based on high confidence peptides. Through this approach, we directly identified a total of 3788 unique M. tuberculosis proteins out of a theoretical proteome of 4023 proteins and identified an average of 3290 unique proteins for each of the MTBC organisms (representing 82% of the theoretical proteomes), as well as 4250 unique M. avium proteins (80% of the theoretical proteome). Data analysis showed that all major classes of proteins are represented in every strain, but that there are significant quantitative differences between strains. Targeted selected reaction monitoring (SRM) assays were used to quantify the observed differential expression of a subset of 23 proteins identified by comparison to gene expression data as being of particular relevance to virulence. This analysis revealed differences in relative protein abundance between strains for proteins which may promote bacterial fitness in the more virulent W. Beijing strain. These differences may contribute to this strain's capacity for surviving within the host and resisting treatment, which has contributed to its rapid spread. Through this approach, we have begun to describe the proteomic portrait of a successful mycobacterial pathogen. Data are available via ProteomeXchange with identifier PXDO04165

Characterization of an Fe≡N−NH_2 Intermediate Relevant to Catalytic N_2 Reduction to NH_3

The ability of certain transition metals to mediate the reduction of N_2 to NH_3 has attracted broad interest in the biological and inorganic chemistry communities. Early transition metals such as Mo and W readily bind N_2 and mediate its protonation at one or more N atoms to furnish M(N_xH_y) species that can be characterized and, in turn, extrude NH_3. By contrast, the direct protonation of Fe–N_2 species to Fe(N_xH_y) products that can be characterized has been elusive. Herein, we show that addition of acid at low temperature to [(TPB)Fe(N_2)][Na(12-crown-4)] results in a new S = 1/2 Fe species. EPR, ENDOR, Mössbauer, and EXAFS analysis, coupled with a DFT study, unequivocally assign this new species as [(TPB)Fe≡N–NH_2]^+, a doubly protonated hydrazido(2−) complex featuring an Fe-to-N triple bond. This unstable species offers strong evidence that the first steps in Fe-mediated nitrogen reduction by [(TPB)Fe(N_2)][Na(12-crown-4)] can proceed along a distal or “Chatt-type” pathway. A brief discussion of whether subsequent catalytic steps may involve early or late stage cleavage of the N–N bond, as would be found in limiting distal or alternating mechanisms, respectively, is also provided

Courts, climate litigation and the evolution of earth system law

Numerous scientific reports have evidenced the transformation of the earth system due to human activities. These changes – captured under the term ‘Anthropocene’ – require a new perspective on global law and policy. The concept of ‘earth system law’ situates law in an earth system context and offers a new perspective to interrogate the role of law in governing planetary challenges such as climate change. The discourse on earth system law has not yet fully recognised courts as actors that could shape climate governance, while climate litigation discourse has insufficiently considered aspects of earth system law. We posit that courts play an increasingly influential climate governance role and that they need to be recognised as Anthropocene institutions within the earth system law paradigm. Drawing on a set of prominent climate cases, we discuss five inter-related domains that are relevant for earth system law and where the potential influence of courts can be discerned: establishing accountability, redefining power relations, remedying vulnerabilities and injustices, increasing the reach and impact of international climate law and applying climate science to adjudicate legal disputes. We suggest that their innovative work in these domains could provide a basis for positioning courts as planetary climate governance actors

Population-Based Assessment of a Biomarker-Based Screening Pathway to Aid Diagnosis of Monogenic Diabetes in Young-Onset Patients

This is the author accepted manuscript. The final version is available from the American Diabetes Association via the DOI in this record.Objective: Monogenic diabetes, a young-onset form of diabetes, is often misdiagnosed as Type 1 diabetes, resulting in unnecessary treatment with insulin. A screening approach for monogenic diabetes is needed to accurately select suitable patients for expensive diagnostic genetic testing. We used C-peptide and islet autoantibodies, highly sensitive and specific biomarkers for discriminating Type 1 from non-Type 1 diabetes, in a biomarker screening pathway for monogenic diabetes. Research Design and Methods: We studied patients diagnosed ≤30y, currently <50y, in two UK regions with existing high detection of monogenic diabetes. The biomarker screening pathway comprised 3 stages: 1) Assessment of endogenous insulin secretion using urinary C-peptide/creatinine ratio (UCPCR); 2) If UCPCR≥0.2nmol/mmol, measurement of GAD and IA2 islet autoantibodies; 3) If negative for both autoantibodies, molecular genetic diagnostic testing for 35 monogenic diabetes subtypes. Results: 1407 patients participated (1365 no known genetic cause, 34 monogenic diabetes, 8 cystic-fibrosis-related diabetes). 386/1365(28%) had UCPCR≥0.2nmol/mmol. 216/386(56%) of these patients were negative for GAD and IA2 and underwent molecular genetic testing. 17 new cases of monogenic diabetes were diagnosed (8 common MODY (Sanger sequencing), 9 rarer causes (next generation sequencing)) in addition to the 34 known cases (estimated prevalence of 3.6% (51/1407) (95%CI: 2.7-4.7%)). The positive predictive value was 20%, suggesting a 1-in-5 detection rate for the pathway. The negative predictive value was 99.9%. Conclusions: The biomarker screening pathway for monogenic diabetes is an effective, cheap, and easily implemented approach to systematically screening all young-onset patients. The minimum prevalence of monogenic diabetes is 3.6% of patients diagnosed ≤30y.This study was funded by the Department of Health and Wellcome Trust Health Innovation Challenge Award (HICF-1009-041; WT-091985). ATH and SE are Wellcome Trust Senior Investigators. ATH is an NIHR Senior Investigator. BS, ATH, MH, SE, and BK are core members of the NIHR Exeter Clinical Research Facility. EP is a Wellcome Trust New Investigator. TM is supported by NIHR CSO Fellowship. JP is partly funded by the NIHR Collaboration for Leadership in Applied Health Research and Care for the South West (PenCLAHRC)

Peak grain forecasts for the US High Plains amid withering waters

Irrigated agriculture contributes 40% of total global food production. In the US High Plains, which produces more than 50 million tons per year of grain, as much as 90% of irrigation originates from groundwater resources, including the Ogallala aquifer. In parts of the High Plains, groundwater resources are being depleted so rapidly that they are considered nonrenewable, compromising food security. When groundwater becomes scarce, groundwater withdrawals peak, causing a subsequent peak in crop production. Previous descriptions of finite natural resource depletion have utilized the Hubbert curve. By coupling the dynamics of groundwater pumping, recharge, and crop production, Hubbert-like curves emerge, responding to the linked variations in groundwater pumping and grain production. On a state level, this approach predicted when groundwater withdrawal and grain production peaked and the lag between them. The lags increased with the adoption of efficient irrigation practices and higher recharge rates. Results indicate that, in Texas, withdrawals peaked in 1966, followed by a peak in grain production 9 y later. After better irrigation technologies were adopted, the lag increased to 15 y from 1997 to 2012. In Kansas, where these technologies were employed concurrently with the rise of irrigated grain production, this lag was predicted to be 24 y starting in 1994. In Nebraska, grain production is projected to continue rising through 2050 because of high recharge rates. While Texas and Nebraska had equal irrigated output in 1975, by 2050, it is projected that Nebraska will have almost 10 times the groundwater-based production of Texas