Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Nonlinear Thermal Radiation on 3D Jeffrey Fluid Flow in the Presence of Homogeneous–Heterogeneous Reactions

In this study, we analyzed the effects of nonlinear thermal radiation on three-dimensional flow of Jeffrey fluid past a stretching/shrinking surface in the presence of homogeneous-heterogeneous reactions, non-uniform heat source/sink and suction/injection. The transformed governing equations are solved numerically using Runge-Kutta based shooting technique. We obtained good accuracy of the present results by comparing with the exited literature. The influence of dimensionless parameters on velocity, temperature and concentration profiles along with the friction factors, local Nusselt and Sherwood numbers are discussed with the help of graphs and tables. We presented dual solutions for the flow over a stretching and shrinking surfaces and found that dual solutions exist only for certain range of stretching/shrinking parameter. It is also found that the heat and mass transfer rate on the flow over a stretching surface is high while compared with the flow over a shrinking surface.
Prevalence of Malaria among Pregnant Women in Imo State University Teaching Hospital ( Imsuth ) , Orlu , Imo State , Nigeria

Introduction: Malaria during pregnancy is a major concern because of its adverse effect on fetus. The study was on pregnant women who visited Imo State University Teaching Hospital (IMSUTH), Orlu, Nigeria from February 2014 to June 2017 for their antenatal care. Objective: The purpose of the study is to ascertain malaria prevalence and its effect on the fetus among pregnant women in IMSUTH. Method: Shortly before birth peripheral blood smear was obtained from each participant into sterile EDTA container for laboratory analysis for malaria identification. The study comprised of 936 pregnant women who came for antenatal care during the period of study. Result and Discussions: The findings revealed that 317 (33.9%) had peripheral malaria parasite with malaria intensities of 43.2% having one plus (+), 37.5% and 19.3% had ++ and +++ respectively. Primigravidae had more (59.7%) malaria parasite than other gravidities whereas multigravidae were less (21.5%) affected, 43.2% of the population had malaria intensity of one plus (+). There is significant relationship between malaria prevalence among pregnant women in IMSUTH and their gravidity status (x2 = 124.82; P < 0.05). Age bracket of 36 45 years were more exposed (52.8%) to malaria infection. Malaria intensity of one plus (+) increases as the age of the population increases whereas, malaria intensity of ++ decreases with age. There is significant relationship between malaria prevalence among pregnant women in IMSUTH and their age groups (x2 = 44.28; P < 0.05). Recommendation: The study recommended regular environmental sanitation to get rid of mosquitoes, use of mosquito treated bed nets, prompt treatment of malaria in pregnancy and health education.
Optimization of entropy encoding using random variations

ABSTRACT: This article describes an optimization method concerning entropy encoding applicable to a source of independent and identically-distributed random variables. The algorithm can be explained with the following example: let us take a source of i.i. d. random variables X with uniform probability density and cardinality 10. With this source, we generate messages of length 1000 which will be encoded in base 10. We call XG the set containing all messages that can be generated from the source. According to Shannon's first theorem, if the average entropy of X, calculated on the set XG, is H(X)≈0.9980, the average length of the encoded messages will be 1000* H(X)=998. Now, we increase the length of the message by one and calculate the average entropy concerning the 10% of the sequences of length 1001 having less entropy. We call this set XG10. The average entropy of X10, calculated on the XG10 set, is H(X10)≈0.9964, consequently, the average length of the encoded messages will be 1001* H(X10)=997.4 . Now, we make the difference between the average length of the encoded sequences belonging to the two sets ( XG and XG10) 998.0-997.4 = 0.6. Therefore, if we use the XG10 set, we reduce the average length of the encoded message by 0.6 values ​​in base ten. Consequently, the average information per symbol becomes 997.4/1000=0.9974, which turns out to be less than the average entropy of X H(X)≈0.998. We can use the XG10 set instead of the X10 set, because we can create a biunivocal correspondence between all the possible sequences generated by our source and ten percent of the sequences with less entropy of the messages having length 1001. In this article, we will show that this transformation can be performed by applying random variations on the sequences generated by the source.
Machine Learning Software Architecture and Model Workflow. A Case of Django REST Framework

Corresponding Author: Kennedy Ochilo Hadullo (Technical University of Mombasa) Institute of Computing and Informatics, Mombasa, Kenya Email: khadullo@gmail.com Abstract: The purpose of this study was to find out the challenges facing Machine Learning (ML) software development and create a design architecture and a workflow for successful deployment. Despite the promise in ML technology, more than 80% of ML software projects never make it to production. As a result, majority of companies around the world with investments in ML software are making significant losses. Current studies show that data scientists and software engineers are concerned by the challenges involved in these systems such as: limited qualified and experienced ML software experts, lack of collaboration between experts from the two domains, lack of published literature in ML software development using established platforms such as Django Rest Framework, as well as existence of cloud software tools that are difficult use. Several attempts have been made to address these issues such as: Coming up with new software models and architectures, frameworks and design patterns. However, with the lack of a clear breakthrough in overcoming the challenges, this study proposes to investigate further into the conundrum with the view of proposing an ML software design architecture and a development workflow. In the end, the study gives a conclusion on how the remedies provided helps to meet the objectives of study.
Team Description Paper 2021 Team AutonOHM

This team description paper presents the team AutonOHM and their solutions to the challenges of the RoboCup@Work league. The hardware section covers the new robot setup, which was developed using knowledge gained from the outdated KUKA youbot platform. Custom solution approaches for the @work navigation, perception and manipulation tasks are discussed in the software section, aswell as a control architecture for the autonomous task completion. Furthermore, improvements for future participation in the RoboCups 2021 are discussed.
Importance and Influence of Interest Groups in Welfare Policymaking Processes - Seen Through Citizens’ Lenses- the Case of North Macedonia

This paper aims to explore the influence of interest groups regarding social welfare policies implemented in North Macedonia and analyze how this influence is perceived through citizens’ lenses. Considering the importance of interest groups in democratic systems where principles of good governance should be implemented, it is of main importance to explore at what extent interest groups contribute or affect processes of policy-making. What are some interest groups that can be considered as influential and have the highest levels of membership referring to social policies? How do citizen-beneficiaries perceive current Macedonian welfare state and what is their perception regarding the role of interest groups in pushing policy processes? The purpose of the paper is to explore associations that aim to protect public interest and influence decision making as much as groups serving narrow interests in the field of social policy. There is increasing recognition of the emergence of new and pernicious interest groups, which have influence on policymaking. Methodologically, this research is designed based on a desk research, literature review and empirical research, conducted in the period of October 2019 – March 2020. The perceptions are being measured through questionnaires that have been conducted with random individuals (beneficiaries/not beneficiaries of social services) with the aim to have some insights on behalf of their perceptions regarding the welfare/social protection system and additionally have some evidence of their participation in interest groups as well. The results of this research show low levels of participation and trust of citizens in interest groups and little contentment regarding welfare policies and delivery of social services, in the country.
Research on Highway Roadside Safety

Frequent and serious traffic accidents have become a focal issue because they hinder the sustainable development of society. In China, roadside accidents account for 40% of fatalities resulting from traffic accidents. Roadside safety has become an important issue of traffic management departments worldwide, and performing research on roadside safety contributes to improving the level of road safety and reducing the number of traffic accidents and fatalities. By systematically sorting a large number of relevant studies, this paper analyzed the current development trends of roadside safety in terms of three aspects (i.e., the year of publication, the country of publication, and the source of publication) and then summarized the research status, existing gaps, and future development directions of roadside safety in terms of three aspects: the frequency of roadside accidents, the severity of roadside accidents, and the practice of roadside safety design. 'is paper reviewed the different predictionmethods and evaluation models for the frequency and severity of roadside accidents. According to the number of timesmentioned in the literature, the first five significant risk factors that cause frequent roadside accidents are small-radius curves, heavy traffic, objects adjacent to the lane (such as poles and trees), narrow lanes, and narrow shoulders, and the first five significant risk factors that cause fatal roadside accidents are driver age ≤25 or ≥65, alcohol, speeding, failure to use seat belts, and heavy trucks. Future research on the frequency and severity of roadside accidents should focus on quantitatively analyzing the probability of roadside accidents and occupant injury risk and developing methods for identifying roadside accident blackspots. For roadside safety design, roadside clear zones and safety slopes should be precisely quantified based on a cost-benefit analysis in future studies.
SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA

logike spolu s implementáciou, ktorá prezentuje konkrétne použitie navrhovaných metód. Annotation Model Driven Architecture (MDA) provides a set of metamodel standards as MOF, UML, BPMN, SPEM and others. A metamodel in general makes statements about what can be expressed in the valid models of a certain modeling language. Unfortunately, the mentioned metamodels have semiformal architecture, thus it is not possible to make and to verify created language statements with formal techniques such as the consistency or satisfiability verification. Many research works have proposed solutions that address to this problem with wide range of created formal techniques. Recently, the combination of MDA and the Semantic Web, in which data processing is concerned with regard to their semantics, become the leading subject in this direction. However, the works mostly focus only on UML-OWL relationships, since the possibilities of these languages are similar in context of domain specification. In this thesis, we present an approach of SPEM transformation to the Semantic Web technical space and its utilizations. SPEM is used to define software and systems development processes and their components. The latest version of SPEM 2.0 has defined several new key capabilities such as clear separation of method content definitions from the development process. Since we neither have found a work that presents a comprehensive analysis of the SPEM metamodel in order to transform it to the Semantic Web technical space, nor a SPEM ontology that is conformed to the SPEM metamodel with respect of the SPEM capabilities, we have decided to bridge this gap with our proposal. First we present the creation of a SPEM ontology and then we present its three utilizations that are: a SPEM model validation with ontology, an ontology based approach to project planning and an approach to software project enactment with a supplier. The thesis is supplemented with examples in a description logic with implementation that illustrates the concrete use of proposed methods. enthusiasm and imagination were the most valuable help as I ever got received in my studies. Since I am conscious that it was only fraction what I caught to learn from you, I pray that a future will bring me an additional opportunity. I would also like to thank my chiefs in Datalan, especially: Norbert Lacko, Michal Klačan, Luboš Petrík and Milan Lešták that have allowed me to study, even my activities were not always in day offs. I appreciate it very much and …
Different Technology for Solar PV Array System Fault Detection

Abstrac : If faults in any components (modules, connection lines, converters, inverters, etc.) of photovoltaic (PV) systems (standalone, grid-connected, or hybrid PV systems) are not detected and corrected quickly, they can have a significant impact on the efficiency, energy yield, as well as the security and reliability of the entire PV plant. Furthermore, some defects (such as arc faults, ground faults, and line-to-line faults) might contribute to the danger of fire. Fault detection and diagnostic (FDD) technologies are critical for PV plant system dependability, high efficiency operation, and safety. The kinds and causes of PV system failures are described in this study, followed by a review and discussion of several approaches offered in the literature for FDD of PVS, with a focus on faults occurring in PV arrays (PVA). Methods that can accurately identify, locate, and categorize potential defects in a PVA are given special consideration. The merits and limitations of FDD techniques for large-scale integration are discussed in terms of practicality, complexity, cost-effectiveness, and generalization capabilities. Challenges and ideas for future research directions are also offered based on the evaluated publications.
EFFECT OF SOIL DEGRADATION ON LEAF DECOMPOSITION AND NUTRIENT RELEASE UNDER HUMID TROPICAL CONDITIONS1

Characterization of degradation of an Alfisol caused by clearing and long-term cultivation and the effect of the degradation on leaf (Cajanus cajan) decomposition and nutrient (N and P) release were studied in the humid zone of southwest Nigeria. Degradation of the Alfisol as a result of land clearing and 17-year continuous cropping led to loss of soil biota and deterioration of soil physical and chemical properties. Compared with nondegraded soil, the degraded soil was 38% lower in soil organic carbon, 55% lower in exchangeable bases, 56% lower in microbial biomass, and had 44% lower microarthropod density, 34% less silt, and 88% less water infiltration; it also had 13% higher bulk density and 14% more sand. Soil pH was lower in the degraded than in the nondegraded soil. The macrofauna community in the degraded soil was termite-dominant (Ancistratermes cavithorax), whereas it was earthworm-dominant (Hyperiodrilus africanus) in the nondegraded soil. Leaf decomposition and nutrient release were lower in the degraded soil than in the nondegraded soil during the 150-day experiment. Higher decreases in leaf decomposition and nutrient release in the degraded soil were observed when macrofauna were excluded. Macrofauna-mediated leaf decomposition and nutrient release in the degraded soil were higher than in the nondegraded soil. Irrespective of soil degradation, macrofauna-mediated decomposition and nutrient release resulted in net nutrient mineralization.
Thermal functioning of a tropical reservoir assessed through three-dimensional modelling and high-frequency monitoring

Urban lakes and reservoirs provide important ecosystem services. However, their water quality is being affected by anthropogenic pressures. The thermal regime is a strong driver of the vertical transport of nutrients, phytoplankton and oxygen. Thermal stratification can modify biogeochemical processes. In this paper, a three-dimensional hydrodynamic model was implemented and validated with high-frequency measurement of water temperature. The simulation results were in agreement with the measurements. For all simulation period, the model performance was evaluated based on hourly values, presenting a maximum RMSE of 0.65 oC and Relative Error of 2.08%. The results show that high-frequency measurement associated with a three-dimensional model could help to understand and identify the reasons for the changes in the thermal condition of a shallow urban lake. The impact of the stream inflow on the temperature was highlighted, showing that during higher discharge events, when the river temperature is colder than the lake water, it flows into the lake deeper layers. The inflow water sank to the deeper layers where the lake morphology changes. The model showed an impact along the entire lake, showing the importance of monitoring the inflow water temperature. This modelling tool could be further used to study specific patterns of reservoir hydrodynamics.
INTERNATIONAL ORGANISATION FOR STANDARDISATION

ISO/IEC JTC1/SC29/WG11 MPEG2004/m11236 October 2004, Palma de Mallorca, ES Source: MPEG-21/Video Title: Resilience in Scalable Video Coding using Embedded Multiple Description Scalar Quantization Author: Fabio Verdicchio, Adrian Munteanu, Augustin Gavrilescu, Jan Cornelis, Peter Schelkens. Vrije Universiteit Brussel (VUB) – Interdisciplinary Institute for Broadband Technology (IBBT) Department of Electronics and Information Processing (ETRO), Pleinlaan 2, B-1050, Brussels, Belgium Equation Section 1
Dematel-Topsis-AHP for Online Marketing in Furniture Industry

This study aimed to create an online marketing model for the identified furniture industries in metro Cebu as inputs to trends and innovation. Ten (10) furniture industry experts and ten (10) customers who have purchased online were asked for their opinions and preferences in selecting an online marketing strategy. To treat the data for online marketing selection decision-making, an integrated DEMATEL-TOPSIS-AHP approach was used. DEMATEL provided interrelationships and the weight of each criterion, whereas Technique for Order Performance by Similarity to Ideal Solution provided weights and ranking of the initial alternatives. Furthermore, the Analytic Hierarchy Process (AHP) was used to compute the final alternative weights. The global weight was computed for the definitive ranking of alternatives after obtaining weights of all levels in the hierarchy. The proposed MCDM model was used in the Philippines furniture manufacturing industry, with a concentration in Cebu City. A priority map for small and medium-sized businesses in selecting an online marketing strategy that considers both business and customer perspectives has been proposed. This is advantageous because it keeps SMEs competitive in the market. The proposed map will allow decision-makers to choose an online marketing strategy from two distinct perspectives, giving them greater flexibility in selecting the right strategy. More research in various industries is needed to help with the decision-making process for online marketing strategy. Although technology is considered dynamic, the benefits of this proposed model are expected to last for a longer time.
A formalization of the computational impact of intrinsic plasticity

La plasticite synaptique dependante de l'activite est classiquement consideree comme le substrat cellulaire de l'apprentissage et de la memorisation. Cependant, il est experimentalement avere que les proprietes membranaires des neurones sont egalement modifiees par l'activite. L'impact fonctionnel de cette plasticite intrinseque reste largement inconnu. Recemment, Paz et al. (soumis) ont montre in vivo que le seuil et le gain de la relation intensite-frequence (I-f) des neurones pyramidaux du cortex de rat sont modifies par l'activite, probablement via la regulation plastique de conductances ioniques non synaptiques. Cependant, l'effet de la plasticite intrinseque sur la fonction de transfert des neurones reste encore inexplique en terme de mecanismes. Nous montrons ici au travers de simulations de type Hodgkin-Huxley que l'impact computationnel de la plasticite de conductances infra- ou supraliminaires (s'activant en dessous ou au-dessus du seuil du potentiel d'action) differe radicalement. En effet, ces formes de plasticite affectent respectivement le seuil et le gain de la relation I-f des neurones et s'appliquent e la vaste majorite des conductances sodium, calcium et potassium. Nous decrivons analytiquement comment la relation I-f depend explicitement des parametres biophysiques de la conductance plastique, et demontrons que les modifications plastiques dues a differentes conductances se somment lineairement. Ensemble, ces resultats montrent que la plasticite intrinseque permet au neurone de selectionner independamment la distribution de ses entrees et la reponse a celles-ci. Nos resultats analytiques permettent de tester directement l'impact fonctionnel probablement crucial de ces effets a l'echelle des reseaux de neurones.
Merit Pay for Schoolteachers in Italy, 2015–2016: A New Regime of Education Accountability?

In 2015, a new performance-related pay scheme was introduced for schoolteachers in Italy as part of education accountability policies aimed at improving their performance. Beginning in that year, all Italian state school principals were offered the opportunity to distribute wage bonuses to deserving teachers. During the first year of implementation, 82 percent of the schools appointed ad hoc internal committees and distributed the bonuses, on average to one teacher out of three. A large majority of schools distributed the funds internally, choosing their own criteria for defining what merit was and how much it should be prized. Results suggest that merit pay was mostly uncorrelated to students’ achievements, although more than one round of application would be required for more rigorous tests. However, the article argues that the 2015 reform aligned the Italian system of evaluation and assessment with other international accountability policies.
Equitable, Quality Education for Ethnic Minority Students? A Case of “Positive Deviance” in Vietnam

Vietnam has achieved near-universal access to compulsory schooling over the past two decades. However, inequalities between ethnic majority and minority students are stark at post-compulsory levels, where progression is selective based on academic criteria and ability to pay. In this article, we adopt a mixed-methods approach to examine quality and equity for ethnic minority students in upper secondary education. Across five provinces, we find that ethnic minority students attend “less effective” upper secondary schools than ethnic majority students. However, an in-depth case study of an ethnic minority boarding school in Lao Cai province provides an example of positive deviance. Guided by a targeted affirmative action policy, the provincial government invests a relatively high level of resources to provide fee-free, high-quality schooling for gifted ethnic minority students. We consider the extent to which such policies can redress socioeconomic inequalities in Vietnam, and wider lessons for creating more equitable education systems.