Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing Teacher Attrition Rate for Quality Education in Public Senior Secondary Schools in Rivers State, Nigeria.

This study examined the management of teacher attrition rate for quality education delivery in public senior secondary schools in Rivers State, Nigeria. Three research questions and two hypotheses were formulated to guide the study. Analytical survey design was adopted. Population of the study consisted of two hundred and forty-seven (247) public secondary schools with 247 male and female principals and 7,713 teachers in Rivers State. The sample size consisted of 1,104 respondents (both Principals and Teachers) of public senior secondary schools in Rivers State representing 14% of the study population. A self-constructed instrument questionnaire tagged “Managing Teacher Attrition Rate for Quality Education Delivery Questionnaire” (MTARQEDQ) was used for data collection. The instrument was validated and its reliability co-efficient was established at 0.83. The mean and standard deviation were used in answering the research questions while z-test statistical tool were used in testing the hypotheses at a . 05 level of significance. The findings revealed that there was no significant difference between the mean scores of principals and teachers on the causes of teacher attrition rate for quality educational delivery in Rivers State public senior secondary schools. Also there was a significant difference between the mean score of principals and teachers on the challenges posed by teacher attrition rate. Significant difference also exists in between the mean scores of male and female teachers on the ways effective management of teacher attrition rate can enhance quality teaching. The study concluded that better services and good welfare packages for teachers can reduce teacher attrition rate. Paying attention to teachers by giving them equal regards with other professions will increase teachers’ retention. INTRODUCTION Teachers are the key inputs in educational production process. Their source and stability in the system are the most important keys to improving learning outcome. Teachers are in a service organization that is geared towards human development and character molding. That is why the National Policy on Education declared that, no educational system can rise above the quality of its teachers (Federal Republic of Nigeria, 2013). The success of any educational organization depends on the teaching staff since the teacher is central to the learning process; hence, the teacher’s position is sacred in relation to the students and the society. However, over the years, the teaching profession has been relegated to the background as a result of the so-called ‘greener pastures’. This is the clamour for oil companies and other occupation that offer higher pay and greater prestige. Thus, the teaching force began to lose its best workforce. The qualified teachers are constantly lost to other
The Chicago Plan Revisited; by Jaromir Benes and Michael Kumhof; IMF Working Paper 13/202; August 2012

At the height of the Great Depression a number of leading U.S. economists advanced a proposal for monetary reform that became known as the Chicago Plan. It envisaged the separation of the monetary and credit functions of the banking system, by requiring 100% reserve backing for deposits. Irving Fisher (1936) claimed the following advantages for this plan: (1) Much better control of a major source of business cycle fluctuations, sudden increases and contractions of bank credit and of the supply of bank-created money. (2) Complete elimination of bank runs. (3) Dramatic reduction of the (net) public debt. (4) Dramatic reduction of private debt, as money creation no longer requires simultaneous debt creation. We study these claims by embedding a comprehensive and carefully calibrated model of the banking system in a DSGE model of the U.S. economy. We find support for all four of Fisher's claims. Furthermore, output gains approach 10 percent, and steady state inflation can drop to zero without posing problems for the conduct of monetary policy. JEL Classification Numbers: E44, E52, G21
Analytical and Holistic Approaches Influence the Semantic Integration: Evidence from the N400 effect

The present study explores the influence of the analytical and holistic approaches on semantic integration of literal and metaphorical sentences. We recorded ERP to compare brain responses to literal (e.g. Mosquitoes are insects) and metaphorical (e.g. Mosquitoes are vampires) sentences, preceded by two types of interpretative cues to encourage literal comprehension (e.g. ‘By definition’, analytical approach), or figurative comprehension (e.g. ‘In some sense’, holistic approach). Participants were asked to classify all sentences according to whether they made sense to them or not. The N400 effect elicited by the critical word in literal and metaphorical sentences was analyzed considering the induced approach. Additionally, the ERP activity elicited during the exposure of the stem sentence was also analyzed to evaluate the potential impact of both approaches on context processing. N400 effect usually reported for metaphorical words was only observed in the analytical comprehension condition, not in the holistic one, resulting in a significant interaction effect (Congruency x Approach) due to larger amplitudes for metaphors when analytically approached. The ERP response to the stem sentences was also affected by the approach, exhibiting a larger Contingent Negative Variation (CNV-like) in the analytical condition. The obtained results suggest (1) that the classically reported N400 effect for metaphoricity, can be affected by the subject’s approach to language comprehension, influencing semantic integration, and (2) CNVlike modulation before critical word reflects that the approach also affects processing of linguistic context, prior to target processing.
Title Mapping QTL for Resistance to New Virulent Races of Wheat Stripe Rust from Two Argentinean Wheat Cultivars Permalink

During the last two decades, new virulent and aggressive races of Puccinia striiformis Westend. f. sp. tritici (Pst) have spread worldwide, causing devastating epidemics and prompting the search for new sources of resistance in wheat (Triticum aestivum L.). Between 2012 and 2017, we mapped four stripe rust resistance quantitative trait loci (QTL) effective against the Pst races present in California, USA, using recombinant inbred lines (RILs) developed from the cross between the Argentinean cultivars ‘Klein Proteo’ and ‘Klein Chajá’. The RIL population showed transgressive segregation in all six growing seasons relative to the parental lines, which showed moderate levels of Pst resistance. Analyses by year detected QTL conferring adult plant resistance on chromosomes 1BL, 2BS, 3D centromeric (from Klein Chajá), and 4DL (from Klein Proteo). QYr.ucw-1BL, mapped in the Yr29 resistance gene region, was significant in all seasons (P < 0.01) and explained on average 31.0 to 32.8% of the observed variation. QYr.ucw-2BS showed a stronger effect than QYr.ucw-1BL in 2013 but was ineffective in 2014 and 2016. This QTL also conferred seedling resistance, suggesting that it is an all-stage resistance gene. Centromeric QYr.ucw-3D and QYr.ucw-4DL showed smaller effects than the previous QTL and were significant only in some of the experiments. No significant interactions were detected among QTL, indicating the absence of digenic epistatic effects. The molecular markers identified in this study can be used to combine these genes and accelerate their deployment in wheat breeding programs. N. Cobo and J. Dubcovsky, Dep. of Plant Sciences, Univ. of California, Davis, CA 95616; L. Pflüger, Instituto Nacional de Tecnología Agropecuaria, Instituto de Recursos Biológicos, Buenos Aires, Argentina; X. Chen, USDA-ARS, Wheat Health, Genetics, and Quality Research Unit and Dep. of Plant Pathology, Washington State Univ. Pullman, WA 99164; J. Dubcovsky, Howard Hughes Medical Institute, 4000 Jones Bridge Rd., Chevy Chase, MD 20815. Received 29 Apr. 2018. Accepted 26 July 2018. *Corresponding author ( jdubcovsky@ ucdavis.edu). Assigned to Associate Editor Georgia Eizenga. Abbreviations: APR, adult plant resistance; IT, infection type; IWGSC, International Wheat Genome Sequencing Consortium; KC, Klein Chajá; KP, Klein Proteo; LOCO-LMM, “leave-one-chromosome-out” linear mixed model; LOD, logarithm of odds; LS mean, least squares mean; NBS-LRR, nucleotide binding site–leucine-rich repeat; PVE, phenotypic variation explained; Pst, Puccinia striiformis f. sp. tritici; QTL, quantitative trait locus/loci; RIL, recombinant inbred line; SNP, single nucleotide polymorphism; SSR, simple sequence repeat. Published in Crop Sci. 58:1–14 (2018). doi: 10.2135/cropsci2018.04.0286 © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA This is an open access article distributed under the CC BY license (https:// creativecommons.org/licenses/by/4.0/). Published online September 13, 2018
CHOICE-BASED SEATING POSITION MODEL WITH UNDISTINGUISHED MULTI-LINES IN REVENUE MANAGEMENT

In revenue management, there are models which aim to maximize revenue by controlling policy for uncertain demands throughout a booking horizon. The models are called dynamic models. One of the applications of the dynamic models is reservation system which offers available seats for customers’ requests. Recently, the system has allowed us to choose our booking seat position. However, the dynamic models in revenue management have not been included customers’ selection behavior for seating position. This paper proposes choice-based seating position model with undistinguished multi-lines that is a dynamic model considered with the customers’ selection behavior for seating positions. Approximate solutions for this model are calculated by Choice-based Deterministic Linear Programming (CDLP) and decomposition approximation which are used in choice-based network revenue management models. This paper suggests that CDLP is more effective than decomposition approximation for the choice-based seating position model, even through some reports in revenue management suggested that decomposition approximation could derive higher revenue than CDLP in their models.
Management of Non-Timber Forest Products : Recent Innovations in Resource Assessment and Sustainable Harvesting

Increasing subsistence as well as commercial expectations from non-timber forest products necessitates more careful assessment of resource base and sustainable harvesting scheme. Forest User Groups as well as supporting organizations are facing challenges to ensure sustainable harvesting of these products, and in several instances, they are developing specific methods to cope with this. This paper reviews ANSAB and some other organizations' experiences with commercial medicinal herbs and fiberyielding shrubs. These cases demonstrate the need for a diversity of resource assessment approaches to respond to specific plant form and product types, as well as a holistic consideration of social and ecological factors to address often ignored dimensions of sustainable harvesting. Finally, the paper identifies challenges and draws key lessons in developing sustainable harvesting system and practices that could be applicable in the context of participatory forest management.
REDUCING STUDENTS' DROPOUT – THE CASE OF INDIVIDUAL ASSIGNMENTS

This paper describes a successful method for reinforcing individual learning habits among Computer Science students. The action research, which was performed during six years, demonstrated that improper learning habits are the main cause for the increase in the dropout rate. The method that was based on individual and unique assignments increased the students' motivation, by transferring the learning process responsibility to the students themselves. This led to improved understanding and reduced the dropout rate. The research was conducted on two courses: Systems Architecture and Computer Organization and Programming, and has obtained similar results. The paper relates to the method and how it was implemented as well as the results obtained.
Legume Crop Residue Management on Productivity of Succeeding Maize - An Overview

Hence, use of organic manures is now gaining momentum, but incorporation of organic manures requires bulk quantities which may not be much affordable by small and marginal farmers. In this context, crop residues of previous grown legumes can be used to overcome the problem of soil fertility. Incorporation of crop residues alters the soil environment, which in turn influences microbial population and activity in soil and subsequent nutrient transformations (Yadvinder-Singh et al., 2005). Proper management and utilisation of crop residues can be important factor in achieving the increased food production and enhanced soil fertility. Legumes are well known to fix up atmospheric nitrogen to enhance soil fertility while leaving some nitrogen in their residues which can be used by subsequent crops.
System Factors Influencing the Australian Nurses' Evidence-based Clinical Decision Making: A Systematic Review of Recent Studies

Background: There is growing attention to evidence-based practice in Australian clinical contexts and nursing literature. Recent research explores the dimensions of evidence-based practice; however, the implementation of evidence-based clinical decision making has been identified as a cumbersome process. Aim: This study aimed to review the literature systematically regarding the system factors and their possible impacts on the process of evidence-based practice implementation. Method: Anelectronic search on major databases, including MEDLINE, PsycINFO, PubMed, ProQuest, Google Scholar, and CINAHL was conducted from January 2018 to March 2018. A rigorous selection process focusing on the inclusion of nurses in the study population and the system factors related to their practices resulted in the selection of 18 articles. Data were extracted from the studies and grouped into categories using a thematic analysis. Results: The factors affecting the nurses' evidence-based practice were identified at the individual, team, and organizational culture levels. The individual domain included a lack of education and clinical expertise, inadequate research skills, time constraint, and low levels of confidence and autonomy in changing practices. The factors identified at the team level associated with a lack of research orientation and peer support. At the organizational culture level, poor research culture and infrastructure were identified as important factors. Implications for Practice: The findings of the system factors would help policymakers to redefine the nursing practice. Moreover, the results raise the nurse's awareness about the importance of using evidence-based practice in decision making.
Chapter 21 1 Internet Security

An economic perspective has yielded invaluable insights into the analysis and design of information security mechanisms. Systems often fail because the organizations that defend them do not bear the full costs of failure. This simple insight has profound consequences for a growing number of industries, and it extends to dependability as well as security. For instance, utilities reduce direct, measurable costs by routing control messaging over the Internet; this can raise the risk of service failure, whose costs are mainly borne by its customers. Another example comes from anti-virus software; since infected machines often cause trouble for other machines rather than their owners, expenditures on protection tend to be suboptimal. Online crime is growing rapidly; for example, the most recent British Crime Survey shows that more than twice as many citizens now fall victim to fraud each year as to traditional acquisitive crime such as house burglary and vehicle theft. There is no purely technical solution to growing vulnerability and increasing crime: law must allocate liability so that those parties in a position to fix problems have an incentive to do so. But at present it frequently does not; and this policy gap is widening as systems become global and acquire a myriad of competing stakeholders. In this chapter, we discuss the economic challenges facing information security in greater detail: misaligned incentives, information asymmetries, and externalities. We then describe several key areas of active research: modeling attack and defense, breaches of personal information, the burgeoning underground markets for online criminal services, and
Multinational Firms and Economic Growth

This paper develops a dynamic North-South model of trade and multinational firms. New higher quality products are discovered in the high-wage North through innovative R&D races and Northern firms engage in adaptive R&D to transfer their manufacturing operations in the low-wage South. Adaptive R&D determines the rate of multinational-firm formation and can be interpreted as an index of Foreign Direct Investment. The model generates product-cycle trade, scale-invariant growth and an endogenous North-South wage gap. Globalization, measured by a geographic expansion of the South, leads to faster international technology transfer and faster technological change but has no effect on the steady-state North-South wage gap. In contrast, policies that encourage the formation of multinationals increase temporarily the rate of global innovation and reduce permanently the North-South income disparity. JEL classification: F12, F23, F43, 031, O34.
Demographic Differences in Sport Anxiety among Universities Student Athletes in the Republic of Yemen

The main objective of this study was to examine the differences of sport anxiety among university student athletes in the Republic of Yemen based on demographic variables. The sample consisted of 397 student athletes (278 males and 119 females). Sport Anxiety Scale SAS was used to evaluate sport anxiety. The result by analysis by independent t-test revealed that there was a slight difference between male and female student athletes. In terms of worry (t (271.65) = . 987, ρ >. 05, η2 = 0.002), the mean for males was M =2.26, S.D = 0.65 while the mean for females was M =2.20, S.D = 0.52. For concentration disruption (t (395) = -. 028, ρ >. 05, η2 = 0.000), the mean for males was M= 1.99, S.D= 0.85 and the mean for females was M=1.99, S.D =0.84. For somatic anxiety (t (395) = 3.04 ρ >. 05 η2 = 0.00), the mean for males was M = 2.12, S.D= . 67 and the mean for females was M = 2.14, S.D = . 63.Furthermore, for total sport anxiety SAS (t (269.6) = . 178 ρ >. 05, η2 = . 001) the the mean for male students was analysed as M=2.14, S.D=0.60 while the mean for female students was recorded as M=2.12, S.D=0.49. However, the results indicated that there are no significant difference based on location, age categories, and years of studies among university student athletes.
Seasonal Diversity of Endophytic Bacteria Associated with Cinnamomum camphora (L.) Presl.

Investigations on the density, diversity, and distribution of endophytic bacterial community associated with leaves of Cinnamomum camphora (L.) Presl. were carried out during three seasons using 16s rDNA high-throughput sequencing technology. Samples were collected from five species in Nanping (A, B, C, D, and E) and one from Fuqin (F) in the Fujian province, China in the months of April, July, and October (represented by 1, 2 and 3), indicating spring, summer, and early winter, respectively. Results from 16s rDNA sequences revealed 10,844,124 effective sequences. The highest OTUs (Operational taxonomic units) was highest in the A1 sample (1086), while the lowest was in C2 (509). Our observations showed that samples taken in October had the highest diversity of endophytes as indicated by the Shannon index (B3 = 5.3337), Chao1 (E3 = 1233.10), abundance-based coverage estimator (ACE) (A3 = 1764.72), and the Simpson indices of diversity (C3 = 0.1655) irrespective of the species. The order of the endophytes richness in the samples was April > July > October. The Ribosomal Database Project (RDP) classifier showed that the obtained sequences belonged to nine major phyla: Proteobacteria, Firmicutes, Bacteroidetes, Actinobacteria, Gemmatimonadetes, Acidobacteria, Planctomycetes, Chloroflexi, and Fusobacteria. Proteobacteria accounted for the highest proportion in each sample, ranging from 35.15% to 89.72%. These sequences belonged mainly to 10 orders: Rhizobiales, Clostridiales, Peseudomonadales, Burkholderiales, Bacteroidales, Enterobacteriales, Rhodocyclales, Sphingomonadales, Lactobacillales, and Bacillales. Also, other taxa with possible taxonomic statuses, which were unclassified, were present.
PL polymorphism ( D 9 N ) predicts cardiovascular disease risk directly and hrough interaction with CETP polymorphism ( TaqIB ) in women with high HDL holesterol and CRP ames

Objective: We sought to determine whether concurrently high levels of HDL cholesterol and CRP predict initial cardiovascular events in women, and to assess additional risk involving two genes encoding proteins involved in reverse cholesterol transport. Methods: A graphical approach identified high-risk subgroups in a population-based female cohort. Polymorphism-associated risk was assessed for CETP (TaqIB [rs708272]) and LPL (D9N [rs1801177]) using multivariable analysis adjusted for clinical parameters and biomarkers. eywords: ipoprotein lipase 9N polymorphism holesteryl-ester transfer protein aqIB polymorphisms -reactive protein Results: A high HDL-C/high CRP high-risk subgroup was identified. Multivariable modeling revealed D9N as predicting subgroup cardiovascular disease risk directly (minor allele-carriers versus major allele homozygotes: HR 5.16, 95% CI 1.43–18.54, p = 0.012) and through interaction with TaqIB (highest risk in minor allele carriers of both polymorphisms). Conclusions: In women with high HDL-C and high CRP levels, an LPL polymorphism associated with risk and interacted with a CETP polymorphism such that the highest risk occurred in subjects with presumably th pr DL cholesterol ardiovascular disease decreased activities of bo
Resource Allocation and Interference Mitigation in Cluster based Device-to-Device Communications for 5 G Massive MIMO Mobile Heterogeneous Cellular Network : A Cooperative Game Theoretic Approach

Device-to-Device (D2D) communications is an emerging technology in 5G heterogeneous cellular network (HCN), where mobile devices has a choice to share the data with each other’s and also share the resources, without interacting the cellular network. Cluster based resource allocation in D2D communications using cooperative game theory is proposed in this paper to increase the Signal to Interference plus Noise Ratio (SINR) and throughput of the network. We propose a cooperative game theory for resource allocation to the devices (players) in each cluster to maximize their data transmission rate. Massive Multiple Input Multiple Output (MIMO) base station assigned resources for devices into the cluster using proposed algorithm (Table 2) with utility function, and assigned resources for neighbor clusters using proposed algorithm (Table 3) to mitigate the cross tier interferences. We calculate SINR, spectral efficiency (SE) and throughput of the proposed network and compared with existing approaches.