Miracle-dz/UniFAR-FTUs huggingface dataset:
The Right to Basic Education for All: Addressing the Educational Needs and Barriers of Immigrant Learners in South Africa.

The South African Constitution guarantees the right to basic education for all learners, including children of immigrants from across the country’s borders. In view of this constitutional imperative, the Department of Basic Education is mandated to provide quality education to all learners, irrespective of their socio-economic and other backgrounds. The delivery of such education requires a child-friendly school environment where the safety of vulnerable learners and their right to quality education are assured. Enablers for this type of environment include relevant legislative framework and policies that seek to address the educational needs of learners. School leadership is responsible for the implementation of these policies and ensuring compliance with legislation. Given the importance of a child-friendly school to quality education delivery, a qualitative research was conducted in Limpopo Province to determine the extent to which schools address educational needs and barriers of immigrant learners. Data were collected through semi-structured interviews with three principals of selected schools in the Vhembe District of the province. The study points out challenges that immigrant learners experience and how school principals address them to ensure learner’s right to basic quality education and comes out with recommendations for improvement in this area. Key words: Quality education, immigrant learners, child-friendly school, the right to education, educational barriers.
Performance evaluation of 14 nm FinFET-based 6T SRAM cell functionality for DC and transient circuit analysis

As the technology node size decreases, the number of static random-access memory (SRAM) cells on a single word line increases. The coupling capacitance will increase with the increase of the load of word line, which reduces the performance of SRAM, more obvious in the SRAM signal delay and the SRAM power usage. The main purpose of this study is to investigate the stability and evaluate the power consumption of a 14nm gate length FinFET-based 6T SRAM cell functionality for direct current (DC) and transient circuit analysis, namely, in resistor-capacitor (RC) delay. In particular, Berkeley Short-channel IGFET Model-Common Multigate (BSIM-CMG) model is utilized. The simulation of the SRAM model is carried out in HSPICE based on 14nm process technology. A shorted-gate (SG) mode FinFET is modeled on a silicon on insulator (SOI) substrate. It is tested in terms of functionality and stability. Then, a functional SRAM is simulated with 5GHz square wave at the input of word line (WL). Ideal square wave and square wave with 100 RC, 5 RC, 1 RC, and 0.5 RC are asserted to the WL and the bit lines (BL&BLB) of SRAM. Voltage at node q and q is observed. The simulation shows that 1 RC is the minimum square wave that will store correct value in node q and node q. Thus, this discovery from the research can be used as a modeling platform for circuit designers to explore and improve the SRAM tolerance against RC delay.
The molecular composition of the planet-forming regions of protoplanetary disks across the luminosity regime

(Abridged) Near- to mid-IR observations of protoplanetary disks show that the inner regions (<10AU) are rich in small organic volatiles (e.g., C2H2 and HCN). Trends in the data suggest that disks around cooler stars (~3000K) are potentially more carbon- and molecule-rich than their hotter counterparts. Our aims are to explore the composition of the planet-forming region of disks around stars from M dwarf to Herbig Ae and compare with the observed trends. Models of the disk physical structure are coupled with a gas-grain chemical network to map the abundances in the planet-forming zone. N2 self shielding, X-ray-induced chemistry, and initial abundances, are investigated. The composition in the 'observable' atmosphere is compared with that in the midplane where the planet-building reservoir resides. M dwarf disk atmospheres are relatively more molecule rich than those for T Tauri or Herbig Ae disks. The weak far-UV flux helps retain this complexity which is enhanced by X-ray-induced ion-molecule chemistry. N2 self shielding has only a small effect and does not explain the higher C2H2/HCN ratios observed towards cooler stars. The models underproduce the OH/H2O column density ratios constrained in Herbig Ae disks, despite reproducing the absolute value for OH: H2O self shielding only increases this discrepency. The disk midplane content is sensitive to the initial main elemental reservoirs. The gas in the inner disk is generally more carbon rich than the midplane ices and is most significant for disks around cooler stars. The atmospheric C/O ratio appears larger than it actually is when calculated using observable tracers only because gas-phase O2 is predicted to be a significant oxygen reservoir. The models suggest that the gas in the inner regions of disks around cooler stars is more carbon rich; however, calculations of the molecular emission are necessary to confirm the observed trends.
Competitive intelligence in a multinational consulting engineering company: A case study

Intelligence is not a new concept and dates back to over 5000 years. The concept of competitive intelligence is however still an evolving field and its modern-day business interpretation has been changed and refined by various researchers. The essence of these interpretations is however the same and lies in the ethical gathering and interpretation of information to drive innovation and inform strategic decision-making. If successful, this assists companies with gaining a competitive advantage.The consulting engineering industry is experiencing major disruptions. To combat this, and gain competitive advantage and growth, competitive intelligence must be embedded in company culture and inform innovation and strategic business decisions. The aim of this study was to determine how competitive intelligence is implemented in a multinational consulting engineering company. To establish this, the nature of competitive intelligence and need for establishing a competitive intelligence culture were investigated. Following this, the challenges with implementation of competitive intelligence across borders were examined and the relationship between competitive intelligence, innovation and business strategy studied. Lastly, the types of information gathered, stored and distributed within the company as part of competitive intelligence activities were investigated.
Chemical and Biochemical Properties of Oxisols after Sewage Sludge Application for 16 Years

The large production of sewage sludge (SS), especially in large urban centers, has led to the suggestion of using this waste as fertilizer in agriculture. The economic viability of this action is great and contributes to improve the environment by cycling the nutrients present in this waste, including high contents of organic matter and plant nutrients. This study evaluated the chemical and biochemical properties of Dystrophic and EutroferricLatossolos Vermelhos (Oxisols) under corn and after SS application at different rates for 16 years. The field experiment was carried out in Jaboticabal, Sao Paulo State, Brazil, using a randomized block design with four treatments and five replications. Treatments consisted of control - T1 (mineral fertilization, without SS application), 5 Mg ha-1 SS - T2, 10 Mg ha-1 SS - T3, and 20 Mg ha-1 SS - T4 (dry weight base). The data were submitted to variance analysis and means were compared by the Duncan test at 5 %. Sewage sludge increased P extracted by resin in both theLatossolos Vermelhos, Dystrophic and Eutroferric, and the organic matter content in the Dystrophic Latossolo Vermelho. The waste at the rate 20 Mg ha-1 on a dry weight basis promoted increases in acid phosphatase activity in Eutroferric Latossolo Vermelho, basal respiration and metabolic quotient in DystrophicLatossolo Vermelho. The rate 20 Mg ha-1 sewage sludge on a dry weight basis did not alter the soil microbial biomass in both the Latossolos Vermelhos; in addition, it improved corn yields without inducing any symptoms of phytotoxicity or nutrient deficiency in the plants.
Cooperation and Competition among Clustered MSEs in East Java

There has been a common picture in economic development that micro and small enterprises (MSEs) tend to conglomerate in various clusters for the sake of gaining location advantages. These MSEs then create inter-firm linkages and business strategies as the two play an important role in their performance. By taking selected manufacturing MSEs that operate in various small industrial clusters in East Java, Indonesia, this research examined the relationships between the inter-firm linkages and business strategies applied simultaneously by MSEs and their impacts on the firm’s performance. Viewed from the perspective of a co-opetition strategy, the results of this study revealed that some types of inter-firm linkages and business strategies matter for the MSEs’ performance. However, within small industrial clusters, inter-firm linkages seem to be less effective compared to business strategies in affecting a firm’s performance.
Effects of sewage sludge and length on initial growth of guava seedlings

Substrate and light intensity exert influence on the quality of seedlings produced by increasing plant nutritional efficiency and growth. The objective of this work was to study the emergence and early growth of guava seedlings (Psidium guajava L.) in substrate enriched with sewage sludge and under different light intensities. In the conduction of this work, guava seeds of the cultivar Pedro Sato were used and five substrates formed by dystrophic Red Yellow Latosol, washed sand, and sewage sludge: S1-soil + sand (Control); S2 - soil + sand + silt (40 t ha-1); S3 - soil + sand + silt (80 t ha-1); S4 - soil + sand + sludge (120 t ha-1); S5 - soil + sand + sludge (240 t ha-1); and S6 - soil + sand + sludge (480 t ha-1). Each experimental plot consisted of four repetitions of 25 seeds for the analyzed emergence (%) and emergence speed index. For fresh and aerial part dry mass (mg L-1), root dry mass (mg L-1), root volume (cm3 plant-1), number of leaves, levels of chlorophyll a, b and total chlorophyll each experimental plot consisted of four repetitions of 16 seeds. The production of guava seedlings with sewage sludge should be conducted with the dosages of 240 and 480 t ha-1. Shading with two screens is recommended for the production of guava seedlings. Key words: Biosolids, emergency, luminous intensity, Psidium guajava L. , residues.
Transformation of Ontological Represented Web Service Composition Problem into a Planning One

This article deals with automated web service composition (AWSC). We present an approach utilizing a combination of artificial intelligence planning methods with knowledge-based approaches to AWSC. For primary composition problem description we used OWL and OWL-S ontologies, which are than in next step translated into a planning problem. This planning problem is represented in PDDL language and may be solved in arbitrary PDDL planner. For the translation process we introduced several original algorithms, which are implemented as components of a prototype system for AWSC.
Inheritance of seed physical traits in upland cotton under different temperature regimes

Physical seed traits such as seed weight, volume and density are determinants of seed vigour in cotton, while seed surface area is of prime importance in lint production. Two Pak-upland cotton crosses, plus their parental, F2 and back cross generations were evaluated over two years to determine the inheritance pattern of their seed physical traits under heat stress and non-stress field regimes. The heat stress regime suppressed the average expression of seed traits in all generations. The results showed there to be low genetic variability with respect to physical seed traits, particularly seed volume, seed density and seed surface area, among several generations of the two cotton crosses. The inheritance of seed physical traits was complex in both crosses due to the presence of substantial non-allelic interactions (digenic epistatic effects) and the influence of generation × temperature regime interaction. The two crosses expressed different patterns of inheritance for seed physical traits. Those governing seed volume and seed surface area were highly sensitive to the temperature regime in both crosses and were controlled by additive genetic effects under heat stress conditions, and by dominant genetic effects under non-stress regime. The non-stress regime favoured the expression of dominant genetic effects. From a breeding point of view, the heat stress regime could be a more favourable environment for enhancing selection efficiency.
Anxiety And Depression Symptoms In Patients With Generalized Myasthenia Gravis

Objective: Although there is an easily predictable relationship between psychiatric symptoms and myasthenia gravis, surprisingly few studies have evaluated this correlation. We aimed to screen the symptoms of anxiety and depression in generalized myasthenic patients using practical psychiatric scales and attract attention to the importance of these symptoms. Methods: The correlations between the scores and age, gender, disease duration, intensive care unit experience, medications being used and the frequency of admission/hospitalization, Beck Anxiety , and Depression Scale (BAS, and BDS) scores of 30 patients (21 women), between 48-59 years of age were evaluated retrospectively. Results: The BAS and BDS scores were found to be higher than the normal ranges in more than half of the whole patient group (56% and 60%, respectively). One third of all the patients required medical psychiatric treatment. The disease duration (RS: 0.68 and 0.56,p=0.016, for BAS and BDS,respectively), admission rate (RS: 0.66 and 0.46, p<0.001) and frequency of admission/ hospitalization (RS: 0.64 and 0.48, p<0.001 for BAS and BDS,respectively) were statistically significantly related with the BAS and BDS scores. Conclusion: The symptoms of anxiety and depression may easily mask the myasthenic symptoms, especially at the onset of the disease course leading to delayed diagnosis or misdiagnosis of myasthenia gravis. Furthermore, these symptoms may mimic the myasthenic symptoms in the disease course leading to over-treatments. Thus, inclusion of simple practical psychiatric scales in the evaluation of chronic autoimmune diseases as myasthenia in addition to neurologic evaluation would help in deciding the specific treatment strategies
Genome wide analysis of stress responsive WRKY transcription factors in Arabidopsis thaliana

WRKY transcription factors are a class of DNA-binding proteins that bind with a specific sequence C/TTGACT/C known as W-Box found in promoters of genes which are regulated by these WRKYs. From previous studies, 43 different stress responsive WRKY transcription factors in Arabidopsis thaliana, identified and then categorized in three groups viz., abiotic, biotic and both of these stresses. A comprehensive genome wide analysis including chromosomal localization, gene structure analysis, multiple sequence alignment, phylogenetic analysis and promoter analysis of these WRKY genes was carried out in this study to determine the functional homology in Arabidopsis. This analysis led to the classification of these WRKY family members into 3 major groups and subgroups and showed evolutionary relationship among these groups on the base of their functional WRKY domain, chromosomal localization and intron/exon structure. The proposed groups of these stress responsive WRKY genes and annotation based on their position on chromosomes can also be explored to determine their functional homology in other plant species in relation to different stresses. The result of the present study provides indispensable genomic information for the stress responsive WRKY transcription factors in Arabidopsis and will pave the way to explain the precise role of various AtWRKYs in plant growth and development under stressed conditions.
Uncertainty and variability modelling of chemical exposure through food.

The deterministic approach in current EU risk assessment directives of new and existing substances deals with uncertainty as a technical construct under the format of worst-case assumptions and safety factors as if these ‘certain uncertainties’ can lead to certain risk estimates. In this way, the considered uncertainty and variability in the exposure and risk estimates is made insufficiently transparent which prevents policymakers to properly assess and manage potential chemical risks. Uncertainty and probabilistic analysis is a useful process for risk assessors and managers that quantifies to the extent possible the uncertainty and variability of chemical exposure to humans through food.
COARSE GRID APPROXIMATION GOVERNED BY LOCAL FOURIER ANALYSIS

Solving discrete boundary value problems with the help of an appro- priate multigrid method (1, 4, 5, 6) necessitates the construction of a sequence of coarse grids with corresponding coarse grid approximations for the given flne grid discretization. Popular choices in this context are the Galerkin coarse grid approximation (GCA) and the use of the same discretization on the coarser grids as on the flne grid with properly adjusted mesh sizes (DCA). In this paper we propose an alternative strategy to select the required coarse grid discretizations within a multigrid solution method. It can be applied to flne grid operators that can be locally represented by a stencil. The coarse grid approx- imations are constructed by minimizing a certain low-frequency L 2 -norm. More precisely, a coarse grid discretization is chosen in such a way, that its Fourier symbol is a best approximation (w.r.t. low frequencies) of the Fourier symbol of the flne grid operator. This strategy is abbreviated by FCA since the design of coarse grid approximations is based on local Fourier analysis (5, 7). The entries of the coarse grid stencils are simply given by linear combinations of the flne grid entries. As a consequence, FCA can be considered as a black-box method to construct coarse grid operators. This method has been successfully applied to (anisotropic) difiusion equations, operators with mixed derivatives, problems with dominant convection, and operators involving jumping coe-cients. For nicely elliptic examples, FCA resembles the DCA approach, whereas for more di-cult applications (w.r.t. an e-cient multigrid treatment) it behaves similarly to GCA based on operator-dependent transfers.
Group of UAVs Moving on Smooth Control Law with Fixed Obstacles

In this paper considered the movement of multi-agent system that consists of several UAVs that carry out monitoring ground surface. The multi-agent system includes a lead agent and several agents-members of the group. The motion of this system occurs along a trajectory, which is determined by the initial conditions, its mathematical model and obstacles on the route. Only the leader of the group knows the ultimate goal of the movement. The motion of this structure is considered in the potential field, which determined the forces of attraction and repulsion and created control signals by measuring the distances to the nearest neighbors. This allows the UAV group to consider an aggregate that has some size and to describe its motion the system of differential equations of second-order. As UAV selected Quadrotor. In this investigation, the stability conditions of such motion are considered, and simulation of approach is proposed.
A critical analysis of intellectual capital research in universities

Abstract Researching on the intellectual capital in universities is a challenging task due to the complexity of the intellectual processes within any university and the fuzziness of the basic concepts and methodologies developed so far. Universities are among the oldest social institutions and they concentrate high densities of intellectual capital. The concept of intellectual capital has been created as a result of increasing significantly the role of intangibles in economy and of the dramatic split between the book value and market value of the new companies based on intensive knowledge processes. Intellectual capital represents that component of the total capital of any organization which incorporates all intangible resources and their transformations. Intellectual capital is highly nonlinear by comparison with the capital containing tangible resources, which has a linear structure and Newtonian dynamics. The canonical structure of the intellectual capital is composed of human capital, structural capital, and relationship capital. This structural model has been used extensively in evaluating and reporting the intellectual capital of organizations, including universities. However, the Newtonian paradigm constitutes an important limitation in understanding properly both the nature of intellectual capital and how to manage it efficiently. Our research question is focused on how we can change that paradigm with a better one able to represents more adequately the nature and the basic structure of the intellectual capital. The methodology we used is based on in depth literature analysis, metaphorical thinking, critical thinking, and the multifield theory of knowledge. As a result of our research, this paper presents a new approach of the intellectual capital and its application to the universities.
Many dicationic states and two-hole population analysis as a bridge to Auger spectra : strong localization phenomena in BF3

The outer valence double ionization spectrum of BF3 is investigated by computing 100 double ionization transitions with the Green’s function method. The results show that one‐site and two‐site hole localization on the fluorine atoms takes place to full extent and the energy split between clusters of states with similar hole distribution exceeds 10 eV. Double hole localization as a symmetry breaking phenomenon is discussed, pointing out the inherent inability of uncorrelated methods to describe it. A two‐hole population analysis of the dicationic states for the quantitative measure of their localized character is presented. The strong effects of hole localization on Auger transition rates are discussed, showing that the two‐hole population analysis can be used to develop a new statistical approach to the computation of Auger line shapes. Application of this method to the fluorine and boron KLL Auger spectra of BF3 permits, for the first time, an accurate reproduction of the spectral profiles and a complete.