Miracle-dz/UniFAR-FTUs huggingface dataset:
A Knowledge-based Model for Semantic Oriented Contextual Advertising

Proper and precise embedding of commercial ads within Webpages requires Ad-hoc analysis and understanding of their content. By the successful implementation of this step, both publishers and advertisers gain mutual benefits through increasing their revenues on the one hand, and improving user experience on the other. In this research work, we propose a novel multi-level context-based ads serving approach through which ads will be served at generic publisher websites based on their contextual relevance. In the proposed approach, knowledge encoded in domain-specific and generic semantic repositories is exploited in order to analyze and segment Webpages into sets of contextually-relevant segments. Semantically-enhanced indexes are also constructed to index ads based on their textual descriptions provided by advertisers. A modified cosine similarity matching algorithm is employed to embed each ad from the Ads repository into one or more contextually-relevant segments. In order to validate our proposal, we have implemented a prototype of an ad serving system with two datasets that consist of (11429 ads and 93 documents) and (11000 documents and 15 ads), respectively. To demonstrate the effectiveness of the proposed techniques, we experimentally tested the proposed method and compared the produced results against five baseline metrics that can be used in the context of ad serving systems. In addition, we compared the results produced by our system with other state-of-the-art models. Findings demonstrate that the accuracy of conventional ad matching techniques has improved by exploiting the proposed semantically-enhanced context-based ad serving model.
SME Participation in Public Purchasing: Procurement Policy Matters

This paper investigates the relationship between regulatory policies governing public procurement and participation by small and medium enterprises (SMEs), using a large dataset on European procurement. We find that countries with better quality procurement regulation have greater SME participation and higher probability that SMEs win contracts. Dividing contracts into smaller lots bolsters participation by SMEs, but only increases the probability of SMEs winning contracts for small value lots (â? ¬25,000 or less). Counterfactual simulations suggest if governments want to enhance participation by SMEs in public procurement the focus should be on improving the overall quality of procurement processes.
Raising awareness of climate change issues in Nigeria through education for policy and practice

The objective of this study is to raise awareness through education in mitigating of climate issues. Also, to finding out relationship between resilience teaching and learning and mitigating of climate change issues in North-central zone, Nigeria. The study investigated managing education toward mitigating climate change in North-central zone, Nigeria. Stratified random sampling technique was used to select 375 head teachers and 384 teachers in public primary schools in North-central zone, Nigeria. Questionnaire title “Managing Education Toward Mitigating Climate Change Issues Questionnaire (METACCIQ) was used to collect data for the study and analysed using descriptive statistics and t-test analysis. The results shown that there is no significant difference between raising awareness, resilience teaching and learning and mitigating of climate change issues in Nigeria. It was recommended that Government, school administrators, teachers and stakeholders should embark on raising awareness on climate change issues to encourage changes in young people attitudes and behavior. Also, resilience teaching and learning should be made interesting in order to increases climate literacy among learners through education.
Assessing the Mentoring Service in Department of English: A Case from Bangladeshi Public University

A voluntary mentoring service started from September 7, 2014 at the Department of English in a well- known public university of Bangladesh intending to provide guidance and support to the students of that respective department. The target was to help the students in their academic endeavor. The objective of the present research is to study the mentioned mentoring service. In this study, semi-structured interviews were conducted with seven mentors and five mentees. The findings suggest that the mentoring program was successful in fulfilling its aims; however, the participants pointed out the areas in which the service needs improvement. The study concludes with implications and suggestions to aid similar future projects.
The Intelligent Control System for infocommunication networks

The conceptual model of the intellectual network, which is proposed to be used in the synthesis of the control information transmission network in the intelligent systems of management of the infocommunication networks, is investigated. It is shown that the following features must be taken into account during the synthesis of Intelligent Control Systems (ICS): the processing speed at the upper levels of the conceptual model decreases with the growth of "intelligence", which in turn falls as we move down the transportation level of the proposed model. The principles of construction and architecture of the ICS are presented, taking into account the current readings of measuring and information means. A model for servicing a claim in ICS is proposed, which uses the use of controllability determinants and centralized logic. Dynamic distribution of information flows has been shown to be one of the effective ways to increase the use of network resources in an emergency. In order to ensure dynamic flow distribution in the control information transmission network, it is proposed to use a dynamic flow distribution management system, which is a subsystem of ICS. Dynamic routing has been shown to be effective only with average channel usage.
Horizontal shear flows over a streamwise varying bathymetry

The Eastern Scheldt storm surge barrier is an icon of Dutch hydraulic engineering. Downstream of the barrier, large local erosion pits (scour holes) have formed adjacent to the applied bed protection after its construction. It was expected during the design phase that these would develop, but both the magnitude of the scour hole depth as well as the present continuation of the scour hole development were not foreseen. In this thesis, the fundamental fluid mechanical behaviour of the flow around the scour holes was studied through a combination of field data analysis, mathematical modelling and laboratory experiments. Field data showed that the flow near the barrier is characterized by large transverse differences in streamwise velocity, and the flow is thus classified as a horizontal shear flow. As such a flow develops over a locally varying bathymetry in streamwise direction, it showcases non-intuitive behaviour, with potentially large consequences for the ongoing scour development. As a horizontal shear flow develops over a streamwise oriented increase in flow depth, its streamlines either converge or diverge in the horizontal plane. Associated with either horizontal convergence or divergence is the absence or presence, respectively, of vertical flow separation. In case of horizontal convergence and suppression of vertical flow separation, the bed shear stress is shown to be significantly higher compared to a flow that horizontally diverges and vertically separates. The rate of horizontal convergence was shown to be dependent on the increase in flow depth; thus, a positive feedback mechanism is revealed where the presence of a local increase in flow depth sustains or even enhances further development of such a feature. It was demonstrated through mathematical modelling that in case of horizontal convergence and vertical attachment, a streamwise oriented increase in flow depth led to an intensification of the turbulence structures. The findings from this study were used to explain the observed ongoing growth of the scour holes near the Eastern Scheldt storm surge barrier. Besides, it was hypothesized how the phenomena as revealed in this thesis would apply to similar configurations as the Eastern Scheldt storm surge barrier. The results from this thesis may form part of the knowledge base from which design guidelines or (numerical) design tools for protection against scour around hydraulic structures are developed.
Wogonin Hampers Dexamethasone-Induced Oxidative Imbalance in Sprague Dawely Rats

Corticosteroids are frequently used for their powerful anti-inflammatory activity in the management of various chronic inflammatory diseases. They are also used because of their potent immunosuppressive power in the manipulation of adverse effects associated with chemotherapeutic treatments. However, their long-term usage is associated with several side effects. The majority of these side effects are due to the increased oxidative stress associated with their administration. Dexamethasone (DEX) is one of the most commonly used glucocorticoids either as an anti-inflammatory and/or immunosuppressive agent.Wogonin, a mono-flavonoid present in the root of Scutellaria baicalensis Georgi, has attracted considerable attention in recent years. Wogonin has a well-documented antioxidant activity that is mainly responsible for its multiple pharmacological activities. The current study aimed at investigating the possible protective activity of wogonin against DEX-induced oxidative stress in Sprague Dawley rats. The results showed that wogonin co-treatment successfully counteracted DEX-induced oxidative stress. Co-administration of wogonin doses of 30 and 60 mg/kg/day significantly improved superoxide dismutase (SOD) activity by 1.7 (P<0.001) and 3.9 folds (P<0.001) and significantly improved catalase (CAT) activity by 1.9 and 2.2 folds (P<0.05) as compared to DEX group. Moreover, co-treatment with wogonin (30 mg/kg/day) improved reduced glutathione (GSH) level by 1.5 folds, while the higher dose significantly improved GSH level by 2.3 folds (P<0.05) as compared to DEX group. Also, co-treatment with wogonin improved serum malondialdehyde MDA level by 11.8% and 30% compared to the DEX group. In conclusion, wogonin displayed a promising protective antioxidant effect against DEX-induced oxidative stress.
Direct Arm Energy Control in Modular Multilevel Converter Under Unbalanced Grid Conditions

This paper studies the behaviour of the grid-connected modular multilevel converter under unbalanced grid conditions in terms of the energy imbalances within the converter, and proposes a novel approach for dealing with imbalances. Since the energy content within the arms of modular multilevel converter depends on the interaction between the terminal and internal voltages and currents, standard energy control methods, designed mainly for balanced grid conditions require improvement. This paper proposes a novel approach for the direct arm energy control, valid for both balanced and unbalanced grid conditions. The approach is characterized with its simple implementation, minimization of the current stress imposed on the converter, as well as with minimization of the risk of overmodulation. Theoretical foundation for mitigating the problem are supported with the simulation results, thus verifying the validity and performance of the proposed control concepts.
Galaxy Morphology Classification Based On An Improved Deep Convolutional Neural Network

With each passing day telescopes around and above the Earth capture more and more images of distant galaxies. As better and bigger telescopes continue to collect these images, the datasets begin to explode in size. In order to better understand how the different shapes (or morphologies) of galaxies relate to the physics that create them, such images need to be sorted and classified. Combining with Kaggle public datasets called Galaxy Zoo, this paper devised a deep convolutional neural network for galaxy morphology image classification. The network contains eight convolutional layers, five max_pooling layers, one flatten layer, a fully connected layer contains 150 neurons, as well as the final layer which outputs galaxy category of probability distribution of each image. The experiment results show that our neural network on the validation set of cosine similarity reached to -0.8652 (the closer to -1 means that the closer the predicted output and the expected output), implying that our model for galaxy morphology classification is very effective.
Automatic Segmentation on Glioblastoma Brain Tumor Magnetic Resonance Imaging Using Modified U-Net

Glioblastoma is listed as a malignant brain tumor. Due to its heterogeneous composition in one area of the tumor, the area of tumor is difficult to segment from healthy tissue. On the other side, the segmentation of brain tumor MRI imaging is also erroneous and takes time because of the large MRI image data. An automated segmentation approach based on fully convolutional architecture was developed to overcome the problem. One of fully convolutional network that used is U-Net framework. U-Net architecture is evaluated base on the number of epochs and drop-out values to achieve the most suitable architecture for the automatic segmentation of glioblastoma brain tumors. The segmentation performance evaluated using three models of U-Net architecture. The first architecture is the original U-Net, second is U-Net with all dropout in each convolutional layer and third is mU-Net that modified from both original U-Net and all drop-out U-Net. Through experimental findings, the most fitting architectural model is mU-Net architecture with an epoch number of 90 and a drop out layer value of 0.5. The results of the segmentation performance are shown by a dice score value of 0.909 which is greater than that of the previous research.
Numerical solution of linear differential equations by Walsh polynomials approach

In 1975 C. F. Chen and C. H. Hsiao established a new procedure to solve initial value problems of systems of linear differential equations with constant coefficients by Walsh polynomials approach. However, they did not deal with the analysis of the proposed numerical solution. In a previous article we study this procedure in case of one equation with the techniques that the theory of dyadic harmonic analysis provides us. In this paper we extend these results through the introduction of a new procedure to solve initial value problems of differential equations with not necessarily constant coefficients.
Sarcasm Detection using Genetic Optimization on LSTM with CNN

The challenging problem of 21st Century is to detect sarcasm in vivid data available on a large scale. Over 20 years of study in this field, the past 10 years have shown a significant progress not only in semantic features, but also an upward trend has also been observed in the various machine-learning approaches to analyze and process the data. To enlist a few, theories of sarcasm, it's syntactical and semantic properties; lexical features have been an area of interest for almost all of them. In this paper, we propose a unique deep neural network model whose Bidirectional LSTM undergo Hyper parameters optimization using genetic algorithm followed by a Convolution Neural Network for sarcasm detection. We put forward the results in a robust way, which may result in a better future work in this field.
Dynamics of Spaetzle morphogen shuttling in the Drosophila embryo shapes pattern

Establishment of morphogen gradients in the early Drosophila embryo is challenged by a diffusible extracellular milieu, and rapid nuclear divisions that occur at the same time. To understand how a sharp gradient is formed within this dynamic environment, we followed the generation of graded nuclear Dorsal (Dl) protein, the hallmark of pattern formation along the dorso-ventral axis, in live embryos. We show that a sharp gradient is formed through extracellular, diffusion-based morphogen shuttling that progresses through several nuclear divisions. Perturbed shuttling in wntD mutant embryos results in a flat activation peak and aberrant gastrulation. Re-entry of Dl into the nuclei at each cycle refines the signaling output, by guiding graded accumulation of the T48 transcript that drives patterned gastrulation. We conclude that diffusion-based ligand shuttling, coupled with dynamic readout, establishes a refined pattern within the diffusible environment of early embryos.
Spatial Analysis of Erosion Danger Level at Rambut Watershed Area Tegal District

Erosion is a series of sedimentation processes associated with weathering, releasing, transporting, and settling grains of earth or earth's crust. As a watershed, watersheds are very vulnerable to erosion and sedimentation problems. This research was aimed to predict the erosion danger level at Rambut Watershed Area based on the Universal Soil Loss Equation Formula, by applying a Geographical Information System analysis. Based on the formula, we used four types of maps, i.e. rainfall, soil, slope, and land cover map. On each map, classification was done to get four to five classes based on a specific factor standard. To get the final result from the erosion danger levels which is categorized into five classes, they are very light, light, moderate, heavy, and very heavy, it is necessary to overlay the four types of maps. The results showed that the erosion danger levels at Rambut watershed area ranged from very light to very heavy, with the percentages of the affected areas are 46.91%; 35.13%; 12.47%; 3.67%; and 1.82% respectively. The very heavy and heavy danger areas covered 356.02 ha. And 717.99 ha. respectively. The results are used as a database to make a good planning watershed area management. Keywords: Erosion, GIS, overlay, USLE, watershed management, weathering
Evolution of pathogenic and nonpathogenic yeasts mitochondrial genomes inferred by supertrees and supermatrices with divergence estimates based on relaxed molecular clocks

The evolution of mitochondrial genomes is essential for the adaptation of yeasts to the variation of environmental levels of oxygen. Although Saccharomyces cerevisiae mitochondrial DNA lacks all complex I genes, respiration is possible because alternative NADH dehydrogenases are encoded by NDE1 and NDI1 nuclear genes. The proposed whole genome duplication (WGD) in the yeast ancestor at 150-100 million years ago caused nuclear gene duplications and secondary losses, although its relation to the loss of complex I mitocondrial is unknown. Here we present phylogenomic supertrees and supermatrix tree of 46 mitochondrial genomes showing that the loss of complex I predates WGD and occurred independently in the S. cerevisiae group and the fission yeast Schizosaccharomyces pombe. We also show that the branching patterns do not differ dramatically in supertrees and supermatrix phylogenies. Our inferences indicated consistent relations between conserved mitochondrial chromosomal gene order (synteny) in closely related yeasts. Correlation of mitochondrial molecular clock estimates and atmospheric oxygen variation in the Phanerozoic suggests that the Saccharomyces lineage might have lost the complex I during hypoxic periods near Perminian-Triassic or Triassic-Jurassic mass extinction events, while the Schizosaccharomyces lineage possibly lost the complex I during hypoxic environment periods during Middle Cambrian until Lower Devonian. The loss of mitochondrial complex I during low oxygen might not affect yeast metabolism due to fermentative switch. The return to increased oxygen periods might have favored adaptations to aerobic metabolism. Additionally, we also showed that NDE1 and NDI1 phylogenies indicate evolutionary convergence in yeasts where mitochondrial complex I is absent.
Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective

The rise of misinformation online and offline reveals the erosion of long-standing institutional bulwarks against its propagation inthedigitizedera.Concernsovertheproblemareglobalandtheimpactislong-lasting.Thepastfewdecadeshavewitnessedthe criticalroleofmisinformationdetectioninenhancingpublictrustandsocialstability.However,itremainsachallengingproblem fortheNaturalLanguageProcessingcommunity.Thispaperdiscussesthemainissuesofmisinformationanditsdetectionwith acomprehensivereviewonrepresentativeworksintermsofdetectionmethods,featurerepresentations,evaluationmetricsandreferencedatasets.Advantagesanddisadvantagesofthekeytechniquesarealsoaddressedwithfocusesoncontent-basedanalysis andpredicativemodeling.Alternativesolutionstoanti-misinformationimplyatrendofhybridmulti-modalrepresentation, multi-sourcedataandmulti-facetinference,e
Analysis and Design of X-Band LNA Using Parallel Technique

In this paper, a new method based on parallel amplifier design technique for low noise amplifiers (LNA) is investigated in order to improve the linearity and noise figure (NF). Considering two inductively degenerated common source (IDCS) topology as parallel networks, the minimum noise figure ($NF_{min}$) and optimum noise impedance ($Z_{sopt}$) and $R_{n}$ (equivalent noise resistance) are calculated. Simulation result for the designed 8-11 GHz LNA with the $. 1-\mu\ \mathrm{m}$ pseudomorphic GaAs HEMT model is reported to support proposed theories.
Drippy blight, a disease of red oaks in Colorado, U.S., produced from the combined effect of the scale insect Allokermes galliformis and the bacterium Lonsdalea quercina subsp. quercina

Drippy blight is an emergent disease of red oaks, caused by the interaction between a kermes scale insect (Allokermes galliformis) and a bacterium (Lonsdalea quercina subsp. quercina). Multi-locus sequence analysis was used to confirm the bacterial pathogen’s identity and its relationship to other phylogenetically related Enterobacteriaceae species. Further, Koch’s postulates were performed on sapling red oaks. Prior to the discovery of drippy blight disease in Colorado, in the United States, the bacterium was reported on oak trees in California but was limited to acorn infections. The scale insect, A. galliformis, was previously known to occur on pin oak in the eastern United States but was not previously associated with either this bacterium or the production of significant branch dieback associated with drippy blight. In addition to a description of this new disease, this research documents a host range expansion of L. quercina subsp. quercina to northern red oak (Quercus rubra), Shumard oak (Q. shumardii), and pin oak (Q. palustris) and extends the reported host range of A. galliformis to include northern red and Shumard oaks.