Miracle-dz/UniFAR-FTUs huggingface dataset:
Teaching-Learning Process: A Veritable Tool for Classroom Management in Kwara State Secondary Schools

The study was carried out to investigate teaching and learning process as a veritable tool for classroom management in Kwara State public junior secondary schools. The descriptive survey design was used in the study. The population of the study comprised all the principals and teachers in 430 in Kwara State secondary schools. The sample comprised 500 respondents which included 50 principals and 450 teachers who were proportionally and randomly selected from 50 public junior secondary schools in the State. Two sets of research instruments were used to collect data for the study. A validated self-designed questionnaire titled ‘Teaching-Learning Process Questionnaire’ (TLP) was used to collect information from the respondents and Observation schedule titled ‘Teachers’ Effectiveness Observation Schedule’ (TEOS) to collect additional information in the study. The reliability index of the questionnaire was 0.89. Data collected were analyzed using frequency counts, percentage scores and t-test statistics. The hypothesis formulated was tested at 0.05 level of significance. Results indicated that, student-centered approach was found to be predominantly used by the teachers. The result showed that students’ centered approach was very effective, 82% and teachers’ centered 69% was moderately effective respectively in classroom control and management in public secondary schools in Kwara State. The results further showed that there was no significant difference in teacher-centered and student-centered approaches to teaching in classroom management in public junior secondary schools in kwara State N = 500, tcal. = 1.82, ttab= 1.96, p <. 05. The study concluded that, student-centered approach of teaching was predominantly used by teachers in Kwara state junior secondary schools. It was therefore recommended that teachers should make teaching in the classroom more interesting through the use of child-centered approach as the situation demands in order to achieve effective classroom control and management in Kwara State public junior secondary schools.
K-Band Spectroscopy of Compact Star Clusters in NGC 4038/4039

Integral field spectroscopy in the K band (1.9-2.4 μm) was performed on four IR-bright star clusters and the two nuclei in NGC 4038/4039 ("the Antennae"). Two of the clusters are located in the overlap region of the two galaxies and together comprise ≈25% of the total 15 μm emission of the total 4.8 GHz emission from this pair of merging galaxies. The other two clusters, each of them spatially resolved into two components, are located in the northern galaxy, one in the western and one in the eastern loop of blue clusters. Comparing our analysis of Brγ, CO band heads, He I 2.058 μm, Hα (from archival Hubble Space Telescope data), and V-K colors to stellar population synthesis models indicates that the clusters are extincted (AV ≈ 0.7-4.3 mag) and young, displaying a significant age spread (4-13 Myr). The starbursts in the nuclei are much older (65 Myr), with the nucleus of NGC 4038 displaying a region of recent star formation northward of its K-band peak. Using our derived age estimates and assuming the parameters of the initial mass function (Salpeter slope, upper mass cutoff of 100 M☉, Miller-Scalo between 1 and 0.1 M☉), we find that the clusters have masses between 0.4 × 106 and 3 × 106 M☉.
Is Housing a Predictor of Autonomy and Quality of Life of People with Severe Mental Illness? Implications for Social Work

ABSTRACT For people with severe mental illness (SMI), housing type based on the level of professional input and support is an important factor in maintaining health. Housing impacts on quality of life (QOL); however, studies have not comprehensively explained the relationship between the types of housing and QOL. This scoping review investigates the relationship between the quality of life of people living with severe mental illness, housing, and objective sense of autonomy. Nine online databases were searched for studies published from 2000 onwards that identified research studies of adults with severe mental illness living in a variety of housing types. Fourteen studies met the eligibility criteria. The findings show that supported housing that offered access to trained staff led to a higher QOL and in turn an increase in autonomy. Allowing residents to choose their preferred type of housing also increased their QOL. Nonsupported group housing allowed for the development of friendships, which in turn had a positive impact on QOL, but there was little evidence to support this model. Despite this, social isolation and victimisation were areas of concern. This review adds to the body of evidence against transinstitutionalisation and emphasises the need for ongoing psychosocial interventions and support for people living with SMI in community settings. IMPLICATIONS Different housing options for residents living with severe mental illness can impact their quality of life. Policymakers and practitioners need to consider the impact of the level of support and sense of autonomy on the quality of life of residents living in supported and nonsupported housing. Social work can contribute professional expertise in developing a policy or framework to improve quality of life in society.
Effects of Interest Arousal on Compliance With a Request for Help

Isen (1984) and Berkowitz (1987) noted the strong link between positive moods and positive thinking. Isen proposed that the well-established relation between positive moods and increased helping or compliance is attributable to the mediating effects of positive thinking. In the current study, the effect of interest—a type of positive thinking—on compliance was examined. Because of the strong link between positive moods and positive thinking, it was expected that inducing interest would increase compliance. College students sitting alone in a university library were approached and asked to complete an interesting task, an uninteresting task, or were not asked to do an initial task. All students were then asked to answer questions from a sociology survey. Students in the interesting task condition were willing to answer more questions than students in the other two conditions, in which compliance rates were equal. A second experiment was conducted to determine whether the task used in Experiment 1 increased.
MODELING MONETARY STABILITY UNDER DUAL BANKING SYSTEM: THE CASE OF MALAYSIA

Since the evaluation of Islamic banking, a considerable amount of theoretical literature has been published for the development of Islamic monetary and banking system (Uzair, 1955, Khan, 1985). But only few empirical studies have been made on modeling the monetary stability under Islamic financial system (Khan, 1980 & 1982, Ahmad & Khan, 1990, Yousafi, 1997). All these studies have tried to prove that the Islamic monetary instruments are as stable as the previous interest based. Darrat, (1988), in case of Tunisia, also developed a model to check the monetary stability under Islamic banking. As Tunisia has no history of Islamic banking, therefore the validity of his study is not authenticated. However, so far as the we are concerned no empirical study has been made, to analyze the effectiveness of Islamic monetary instruments, in case of dual banking system. For that purpose, we select Malaysia, which is the perfect example; here all commercial banks(1) offer both types of banking instruments simultaneously.
Pay increase may not be a strong incentive for undertaking acquisitions

A large body of literature suggests that CEOs have misaligned incentives to undertake acquisitions in an attempt to increase their pay. This paper shows that the likelihood of post-acquisition CEO turnover can act as a constraint on such incentives. The acquisition premium in pay decreases by 50% if the likelihood of post-acquisition turnover is controlled for. This suggests a significant survivor bias in previous estimates of acquisition premium. Given a smaller pay premium for undertaking acquisitions and non-zero risk of dismissal, a risk-averse agent may not have strong incentives to undertake an acquisition for the marginal pay increase. The likelihood of dismissal seems to carry stronger incentive effects than post-acquisition pay increase.
Multi-GPU Training of ConvNets

In this work, we consider a standard architecture [1] trained on the Imagenet dataset [2] for classification and investigate methods to speed convergence by parallelizing training across multiple GPUs. In this work, we used up to 4 NVIDIA TITAN GPUs with 6GB of RAM. While our experiments are performed on a single server, our GPUs have disjoint memory spaces, and just as in the distributed setting, communication overheads are an important consideration. Unlike previous work [9, 10, 11], we do not aim to improve the underlying optimization algorithm. Instead, we isolate the impact of parallelism, while using standard supervised back-propagation and synchronous mini-batch stochastic gradient descent.
What’s in a p-value in NLP?

In NLP, we need to document that our proposed methods perform significantly better with respect to standard metrics than previous approaches, typically by reporting p-values obtained by rank- or randomization-based tests. We show that significance results following current research standards are unreliable and, in addition, very sensitive to sample size, covariates such as sentence length, as well as to the existence of multiple metrics. We estimate that under the assumption of perfect metrics and unbiased data, we need a significance cut-off at ⇠0.0025 to reduce the risk of false positive results to <5%. Since in practice we often have considerable selection bias and poor metrics, this, however, will not do alone.
An empirical study of the congestion response of RealPlayer, Windows MediaPlayer and Quicktime

Properly reacting to congestion is known to be a requirement for maintaining the stability of the Internet; in addition, UDP based applications should do so for their own sake if they are delay- or loss-sensitive. We measured the responsiveness of the three popular streaming media applications RealPlayer, Windows MediaPIayer and Quicktime with a varying amount of cross traffic and present a comparison of the results.
A secure processor architecture for encrypted computation on untrusted programs

This paper considers encrypted computation where the user specifies encrypted inputs to an untrusted program, and the server computes on those encrypted inputs. To this end we propose a secure processor architecture, called Ascend, that guarantees privacy of data when arbitrary programs use the data running in a cloud-like environment (e.g., an untrusted server running an untrusted software stack). The key idea to guarantee privacy is obfuscated instruction execution; Ascend does not disclose what instruction is being run at any given time, be it an arithmetic instruction or a memory instruction. Periodic accesses to external instruction and data memory are performed through an Oblivious RAM (ORAM) interface to prevent leakage through memory access patterns. We evaluate the processor architecture on SPEC benchmarks running on encrypted data and quantify overheads.
Automatic Inference of Programming Performance and Experience from Typing Patterns

Studies on retention and success in introductory programming course have suggested that previous programming experience contributes to students' course outcomes. If such background information could be automatically distilled from students' working process, additional guidance and support mechanisms could be provided even to those, who do not wish to disclose such information. In this study, we explore methods for automatically distinguishing novice programmers from more experienced programmers using fine-grained source code snapshot data. We approach the issue by partially replicating a previous study that used students' keystroke latencies as a proxy to introductory programming course outcomes, and follow this by an exploration of machine learning methods to separate those students with little to no previous programming experience from those with more experience. Our results confirm that students' keystroke latencies can be used as a metric for measuring course outcomes. At the same time, our results show that students programming experience can be identified to some extent from keystroke latency data, which means that such data has potential as a source of information for customizing the students' learning experience.
TDSelector: A Training Data Selection Method for Cross-Project Defect Prediction

In recent years, cross-project defect prediction (CPDP) attracted much attention and has been validated as a feasible way to address the problem of local data sparsity in newly created or inactive software projects. Unfortunately, the performance of CPDP is usually poor, and low quality training data selection has been regarded as a major obstacle to achieving better prediction results. To the best of our knowledge, most of existing approaches related to this topic are only based on instance similarity. Therefore, the objective of this work is to propose an improved training data selection method for CPDP that considers both similarity and the number of defects each training instance has (denoted by defects), which is referred to as TDSelector, and to demonstrate the effectiveness of the proposed method. Our experiments were conducted on 14 projects (including 15 data sets) collected from two public repositories. The results indicate that, in a specific CPDP scenario, the TDSelector-based bug predictor performs, on average, better than those based on the baseline methods, and the AUC (area under ROC curve) values are increased by up to 10.6 and 4.3%, respectively. Besides, an additional experiment shows that selecting those instances with more bugs directly as training data can further improve the performance of the bug predictor trained by our method.
Developing intercultural competence in a ‘comfortable’ third space: postgraduate studies in the UK

ABSTRACT With the number of international postgraduate students in UK universities steadily increasing, there is great interest in understanding how institutions can more effectively meet these students’ expectations and needs through programme-supported development of intercultural competence. This paper reports on a project that explored experiences and perceptions of the development of intercultural competence in a UK higher education context. Academic staff (N = 8) and international postgraduate students (N = 24), from a range of countries, were recruited for preliminary interviews (two staff from each of the four faculties), focus groups (students of these staff), and stimulated recall interviews (same staff). The project targeted tensions and issues occurring between the perspectives of participants. It focused on the performance and negotiation of identities in the ‘third space’ that emerged between participants using different cultural discourses. The findings suggest that, despite the inherent contradiction of comfort and the conflict of negotiation, efforts are made by both students and staff to create a ‘comfortable’ third space in which to negotiate learning. By this we mean an environment in which to negotiate learning where those present feel at ease with their own and others’ cultural identities and differences. This raises significant implications for policies and practices regarding the development of intercultural competence. Specifically, the university needs to build a better understanding of how to create a ‘sphere of interculturality’ in which international postgraduate learning can take place.
An Approach For Transforming of Relational Databases to OWL Ontology

Rapid growth of documents, web pages, and other types of text content is a huge challenge for the modern content management systems. One of the problems in the areas of information storage and retrieval is the lacking of semantic data. Ontologies can present knowledge in sharable and repeatedly usable manner and provide an effective way to reduce the data volume overhead by encoding the structure of a particular domain. Metadata in relational databases can be used to extract ontology from database in a special domain. According to solve the problem of sharing and reusing of data, approaches based on transforming relational database to ontology are proposed. In this paper we propose a method for automatic ontology construction based on relational database. Mining and obtaining further components from relational database leads to obtain knowledge with high semantic power and more expressiveness. Triggers are one of the database components which could be transformed to the ontology model and increase the amount of power and expressiveness of knowledge by presenting part of the knowledge dynamically
Center Vortices and the Gribov Horizon

We show how the infinite color-Coulomb energy of color-charged states is related to enhanced density of near-zero modes of the Faddeev-Popov operator, and calculate this density numerically for both pure Yang-Mills and gauge-Higgs systems at zero temperature, and for pure gauge theory in the deconfined phase. We find that the enhancement of the eigenvalue density is tied to the presence of percolating center vortex configurations, and that this property disappears when center vortices are either removed from the lattice configurations, or cease to percolate. We further demonstrate that thin center vortices have a special geometrical status in gauge-field configuration space: Thin vortices are located at conical or wedge singularities on the Gribov horizon. We show that the Gribov region is itself a convex manifold in lattice configuration space. The Coulomb gauge condition also has a special status; it is shown to be an attractive fixed point of a more general gauge condition, interpolating between the Coulomb and Landau gauges.
Å måle skriving som grunnleggende ferdighet

Denne artikkelen undersøker utviklinga av skriveprøver i Norge (i 2005 og 2009–2017). Formålet er å drøfte utfordringer forbundet med det å måle elevers skriving som grunnleggende ferdighet gjennom skriveprøver. I undersøkelsen tar vi utgangspunkt i flere av de endringene som ble gjort fra de nasjonale prøvene i skriving i 2005 til de læringsstøttende prøvene som ble utviklet fram mot 2017. Et viktig grunnlag for undersøkelsen er tekniske rapporter som ble skrevet av de gruppene som lagde prøvene. Å måle elevenes skriveferdigheter har vært faglig komplekst og kostbart. Artikkelen gjør rede for hvordan prøvene ble utviklet, hva som har kjennetegnet dem og hvilke endringer som har skjedd med dem i løpet av denne perioden, og belyser derved denne kompleksiteten. Vi redegjør for dilemmaer som følger med skriveprøveutvikling, men peker også på mulige løsninger for å ivareta god prøvekvalitet. Nøkkelord: skriveprøver, skriving, skriving som grunnleggende ferdighet, validitet, reliabilitetMeasuring writing as a key competenceAbstractThis article investigates the development of national writing tests in Norway (in 2005 and 2009–2017). The purpose of the study is to present and discuss challenges associated with the assessment of writing proficiency through standardized writing tests. The article focuses on changes that were made between the first administration of national writing tests in 2005 and the subsequent administrations following a new test design in 2009. Key sources that document this change are technical reports from the test developers. Assessing writing through national writing tests has proved to be complex, posing several challenges including numerous design choices, and has also proved to be expensive. To shed light on these complexities, this article provides information on how the tests were developed, how they can be characterized and what type of changes that were made in the period 2005–2017. The article explicates some dilemmas associated with development of writing tests, but also some viable solutions when aiming to produce high quality tests.Keywords: writing assessment, writing, writing as a key competence, validity, reliability
Exploring the relationship between network competence, network capability and firm performance : a resource-based perspective in an emerging economy

Growing interest in business-to-business networks and the demonstrated linkage between firm performance and collaborative efforts within these networks fuels the continued search for a greater understanding of what is needed to manage firms in complex business constellations. Key components of managing in networks, and the focus of this study, are the competencies and capabilities required at the firm level in order to engage in meaningful network relationships to enhance performance. Adopting the resource-based view (RBV) of a firm, an attempt is made to validate measures of network competence and network capability under South African conditions. Secondly, this study considers the relationship between network competence, network capability and subjective measures of firm performance. The analysis is based on data collected using a multi-informant mail survey of 219 business managers in South Africa. Factor analysis and structural equation modelling were utilised to test a conceptual model based on contemporary literature. Our results suggest significant relationships between network competence and network capability, and between network capabilities and firm performance, but not between network competence and firm performance. In addition to providing greater clarity on the relationships depicted in the model, the study also contributes to the rich debate on network management challenges.
Inverse problems for the anisotropic Maxwell equations

We prove that the electromagnetic material parameters are uniquely determined by boundary measurements for the time-harmonic Maxwell equations in certain anisotropic settings. We give a uniqueness result in the inverse problem for Maxwell equations on an admissible Riemannian manifold, and a uniqueness result for Maxwell equations in Euclidean space with admissible matrix coefficients. The proofs are based on a new Fourier analytic construction of complex geometrical optics solutions on admissible manifolds, and involve a proper notion of uniqueness for such solutions.
The demand elasticity on tolled motorways

This paper analyses the elasticities of demand in tolled motorways in Spain with respect to the main variables influencing it. The demand equation is estimated using a panel data set where the cross-section observations correspond to the different Spanish tolled motorways sections, and the temporal dimension ranges from the beginning of the eighties until the end of the nineties. The results show a high elasticity with respect to the economic activity level. The average elasticity with respect to petrol price falls around -0.3, while toll elasticities clearly vary across motorway sections. These motorway sections are classified into four groups according to the estimated toll elasticity with values that range from -0.21 for the most inelastic to -0.83 for the most elastic. The main factors that explain such differences are the quality of the alternative road and the length of the section. The long-term effect is about 50 per cent higher than the short term one; however, the period of adjustment is relatively short.
creatine monohydrate supplementation in skeletal muscle of young men following short-term Global and targeted gene expression and protein content

You might find this additional info useful. 24 times a year (twice monthly) by the American Physiological Society, 9650 Rockville Pike, Bethesda MD systems with techniques linking genes and pathways to physiology, from prokaryotes to eukaryotes. It is published publishes results of a wide variety of studies from human and from informative model Physiological Genomics