Miracle-dz/UniFAR-FTUs huggingface dataset:
Species Records and Distribution of Shallow-water Coralline Algae in a Western Indian Ocean Coral Reef (Trou d’Eau Douce, Mauritius)

Seventeen taxa of coralline algae were identified in different reef environments on the eastern coast of Mauritius. Nine of these are reported from this island for the first time: Amphiroa rigida Lamouroux var. antillana B0rgesen, Amphiroa tribulus (Ellis et Solander) Lamouroux, Choreonema thuretii (Bornet) Schmitz, Jania capillacea Harvey, Jania pumila Lamouroux, Jania ungulata (Yendo) Yendo, Lithophyllum pallescens (Foslie) Foslie, Mesophyllum erubescens (Foslie) Lemoine and Sporolithon ptychoides Heydrich. Data concerning habitat and geographical distribution of the species are presented. Coralline algae are widely distributed in Trou d'Eau Douce reefs, being a group of organisms of major importance in the structure of reef communities. Geniculate coralline algae are common in algal turfs growing on cobbles, dead corals or as epiphytes on larger brown algae. Non-geniculate species are dominant, both in rhodolith beds from shallow lagoon waters in sheltered areas, and in the much exposed reef flat. Hydrolithon onkodes (Heydrich) Penrose et Woelkerling, Lithophyllum tamiense Heydrich and Lithophyllum kotschyanum Unger are the most abundant species on hard substrata while Mesophyllum erubescens dominates in rhodolith beds.
Parental Population Range Expansion Before Secondary Contact Promotes Heterosis

Population genomic analysis of hybrid zones is instrumental to our understanding of the evolution of reproductive isolation. Many temperate hybrid zones are formed by the secondary contact between two parental populations that have undergone post-glacial range expansion. Here we show that explicitly accounting for historical parental isolation followed by range expansion prior to secondary contact is fundamental for explaining genetic and fitness patterns in these hybrid zones. Specifically, ancestral population expansion can result in allele surfing where neutral or slightly deleterious mutations drift to high frequency at the expansion front. If these surfed deleterious alleles are recessive, they can contribute to substantial heterosis in hybrids produced at secondary contact, counteracting negative effects of Bateson-Dobzhansky-Muller incompatibilities (BDMIs) hence weakening reproductive isolation. When BDMIs are linked to such recessive deleterious alleles the fitness benefit of introgression at these loci can facilitate introgression at the BDMIs. The extent to which this occurs depends on the strength of selection against the linked deleterious alleles and the distribution of recombination across the chromosome. Finally, surfing of neutral loci can alter the expected pattern of population ancestry, thus accounting for historical population expansion is necessary to develop accurate null genomic models of secondary-contact hybrid zones.
Intensidade da cercosporiose em mudas de cafeeiro em função de fontes e doses de silício

ABSTRACTEffect of silicon doses and sources on the intensity of the brown eye spot of coffee seedlings The objective of this work was to evaluate the effect of calcium and sodium silicate on the intensity of brown eyespot ( Cercospora coffeicola ) in coffee ( Coffea arabica ) seedlings (Catuai IAC 99) by using doses (0; 0.32; 0.63 and 1.26g of SiO 2 .kg -1 ) of substrate. Five evaluations were done by counting the number of diseased plants, number of leaves withlesions, number of lesions per leaf and total number of lesions per plant. The concentration of macro, micronutrients,silicon and lignin in the leaves was determined at the end of the experiment. The lowest area under the disease progresscurve of the total number of lesions was observed with 0.84 g.kg -1 of sodium silicate. Diseased plants were found to havea linear decrease of area under the disease progress curve and an increase in the concentration of lignin up to the dose of0.52 g.kg -1 of sodium silicate. The increase of sodium silicate and dose application into the soil up to 0.53 g.kg decreasedthe concentration of SiO
PETSc DMNetwork

We present DMNetwork, a high-level package included in the PETSc library for the simulation of multiphysics phenomena over large-scale networked systems. The library aims at applications that have networked structures such as those in electrical, gas, and water distribution systems. DMNetwork provides data and topology management, parallelization for multiphysics systems over a network, and hierarchical and composable solvers to exploit the problem structure. DMNetwork eases the simulation development cycle by providing the necessary infrastructure through simple abstractions to define and query the network components. This article presents the design of DMNetwork, illustrates its user interface, and demonstrates its ability to solve multiphysics systems, such as an electric circuit, a network of power grid and water subnetworks, and transient hydraulic systems over large networks with more than 2 billion variables on extreme-scale computers using up to 30,000 processors.
Online Shopping: The Influence of Attitude, Subjective Norm and Perceived Behavioral Control on Purchase Intention

The study investigates the dimension of Theory of Planned Behavior (TPB) and the influence on consumers' purchase intention of online products. TPB dimensions consist of attitude, subjective norm and perceived behavioral control. Multiple Regression were performed to analyze the data, in order to investigate the influence of attitude, subjective norm and perceived behavioral control on consumer's purchase intention.300 questionnaires were distributed to postgraduate students from the Faculty Business and Management, Uitm Shah Alam. 270 surveys were returned which are considered usable. A preliminary analysis was performed to check for the assumptions such as normality, multicollinearity and homoscedasticity before further inferential analyses were generated. The preliminary analysis results show that the residuals are normally distributed, no multicollinearity exists and the data are not homoscedastic. A reliability test was also executed and the results show that all the cronbach's alpha for the dimensions to be measured are reliable. For the inferential analysis, multiple regressions were employed. The results revealed that both the subjective norm and perceived behavioral control have an influence on the purchase intention of respondents. However, the dimension of attitudes did not have any impact on the purchase intention for online products. As such, future studies may probe further on the importance of the subjective norm and perceived behavior control in affecting consumers' purchase behavior.
SECONDARY CAROTENOID ACCUMULATION IN SCENEDESMUS KOMAREKII (CHLOROPHYCEAE, CHLOROPHYTA)

As Scenedesmus komarekii Hegewald was cultured under high light intensity and nitrogen limitation, the color of cells progressed from green to brown, and finally through orange to brick red. The secondary carotenoids astaxanthin and canthaxanthin, as well as apolar carotenoids, were detected in the brown and orange cells. These carotenoids were contained in lipoidal globules that were first formed at the periphery of the cell and progressively propagated toward its inside, eventually filling most of it. The chloroplast was single and parietal in the green cells. As the cells turned brown, the chloroplast divided into several small lobes and was pushed toward the interior by the accumulating lipoidal globules. Sometimes the outer layer of the wall of the brown cell developed one or two diametrically opposed swellings. Once the cells became orange or red, neither lipoidal globules nor any major organelles were distinguishable. The cell wall in the orange cells became thick because of the formation of electron‐dense granules between its outer and inner layers. The mode of the secondary carotenoid accumulation in S. komarekii differs from that of Haematococcus, an alga well known for its ability to accumulate secondary carotenoids, but resembles that of “Chlorella”zofingiensis (=Mychonastes zofingiensis (Dönz) Kalina et Punčochářová).
Visual displays of wild African elephants during musth

Le must est un phenomene lie a la reproduction chez les elephants mâles matures. Au cours du must, le taux sanguin de testosterone s'eleve et le comportement des individus se modifie souvent considerablement. Des elephants d'Afrique mâles en must ont ete observes et enregistres en video au cours de six saisons dans le parc national d'Hwange, au Zimbabwe. Dans cette region, les precipitations et le must sont tres saisonniers: on peut observer chaque jour de deux a quatre mâles en must au cours de la saison des pluies (de novembre a mars-avril), mais seulement un a deux par mois pendant la saison seche (d'avril-mai a octobre). Les mâles en plein must ont des comportements caracteristiques: ils se pavanent souvent la tete haute avec une demarche particuliere et de puissants mouvements d'oreilles, et ils ont constamment des emissions d'urine; ils marquent avec les secretions de leurs glandes temporales les arbres et le sol en y frottant le cote de leur tete; de temps a autre, ils cessent tout mouvement pour ecouter. Parfois, les mâles des elephants d'Afrique donnent simplement un coup de leur trompe, comportement qui parait plus elabore chez l'elephant d'Asie. Les mâles en must paraissent attires par les femelles, surtout par celles qui sont en oestrus; on en voit frequemment ensemble.
VidSeg-GAN: Generative Adversarial Network for Video Object Segmentation Tasks

Video object segmentation aims to segment objects in a video sequence, given some user annotation which indicates the object of interest. Although Convolutional Neural Networks (CNNs) have been used in the recent past for the purpose of foreground segmentation in videos, adversarial training methods have not been used effectively to solve this problem, in spite of its extensive use for solving many other problems in Computer Vision. Earlier, flow features and motion trajectories have been extensively used to capture the temporal consistency between subsequent frames to segment moving objects in videos. However, we show that our proposed framework of processing the video frames independently using a deep generative adversarial network (GAN), is able to maintain the temporal coherency across frames without the use of any explicit trajectory based information, to provide superior results. Our main contribution lies in introducing a GAN based framework along with the incorporation of an Intersection-over-Union score based novel cost function for training the model, to solve the problem of foreground object segmentation in videos. The proposed method, when evaluated on popular real-world video segmentation datasets viz. DAVIS, SegTrack-v2 and YouTube-Objects, exhibits substantial performance gain over the recent state-of-the-art methods.
Evaluation of Sedation Outcomes Following Increased Dexmedetomidine Use in the ICU

Objective: To evaluate sedation practices following a dexmedetomidine guideline update in the ICU. Design: Single-center, retrospective chart review. Setting: Tertiary academic medical center. Patients: Patients were included in this analysis if they were admitted to the ICU and were ordered for continuous infusion sedatives or opioids from September to November 2016 (PRE) and from September to November 2017 (POST). Patients were excluded from this analysis if they met any of the following criteria: mechanical ventilation less than 12 hours, admitted with acute neurologic injury, burn of greater than 20% total body surface area, chronic tracheostomy, admitted to the neuroscience or cardiac surgery ICU, on extracorporeal membrane oxygenation support, or received an infusion of neuromuscular blockers. Interventions: Patients admitted during a restricted dexmedetomidine prescribing guideline were compared with patients admitted during an expanded prescribing guideline. Measurements and Main Results: Of the 1,426 patients evaluated for inclusion, 427 patients met the criteria in this analysis. Of these, 217 patients were in the PRE and 210 patients in the POST. A majority of patients were excluded for admission to neuroscience or cardiac surgery ICU. Dexmedetomidine was used in 13.8% of encounters in the PRE and 51.9% of encounters in the POST (p < 0.001). The median duration of mechanical ventilation was 49 hours (24–110 hr) in the PRE and 47.5 hours (26–98 hr) in the POST (p = 0.8). ICU length of stay was a median of 136 and 121 hours in the PRE and POST, respectively (p = 0.2). The median hospital length of stay was 296 and 326 hours in the PRE and POST, respectively (p = 0.35). After controlling for possible confounders, ventilation time remained unchanged between the PRE and POST (p = 0.98). Conclusions: The expansion of a hospital dexmedetomidine prescribing guideline resulted in an increased use of dexmedetomidine but was not associated with a difference in length of mechanical ventilation.
An incremental topological map building using monocular vision

In this work a memory efficient topological map generation algorithm has been proposed using local descriptors. A topological map is a graphical data structure where each node signifies an area within an environment. These nodes are connected by links which ensure the presence of a physical path between the pair. Experiments have been conducted with feature descriptors using a vocabulary based approach. These approaches take huge memory and time. To deal with these a KD-tree based map generation algorithm has been proposed where each node in the tree stores a descriptor and a table of occurrence. This table stores node ids of the locations, where the corresponding descriptor is present. The map generation algorithm is a two-stage algorithm. In the first stage, the visual similarity based position identification is conducted in order to check for loop-closures. It is followed by a corrective step on validating the decision of loop closure, if any. The table of occurrence keeps track of presence of each descriptor. The least occurring descriptors are pruned at regular intervals, making the algorithm memory-efficient. The approach has been experimented with several benchmark datasets.
A Meta-Analysis of Blended Learning Trends

With technology being at the forefront in the modern-day classrooms, blended learning is the driving force for new pedagogical approaches. For decades, studies have demonstrated the positive effects of blended learning approaches on the learning outcomes. However, the extent and breadth of blended learning's efficacy in enhancing education would always be an interesting query, given technology is rapidly evolving and diversifying in recent times. Thus, the present study carried out a quantitative meta-analysis to examine the overall effectiveness of blended learning interventions. Characterized by a set of priori emphasizing on technology usage, a systematic search identified 40 meta-analytic compliant samples published from 2015 to 2019, which were selected for analysis. Cohen's d [1][2] was employed, yielding effect sizes (ES), to determine the efficacy of the blended learning interventions on learning outcomes. The ES of each learning outcome was totaled and averaged for each intervention to gauge the overall outcome. This combined ES was then interpreted according to Cohen's [1] Benchmark. Additionally, ES of different interventions were combined into their respective cohorts; Science and Technology, Social Sciences and Language, as well as the category of technological intervention, namely either: (a) Web-Based Applications, (b) Mobile Applications, (c) Standalone Applications or (d) Devices. Results show (a) Web-Based Application were most frequently used, followed by (b) Mobile Applications, (c) Devices, and lastly (d) Standalone Applications. There was a considerable number of large, medium, small effect sizes, as well as negative effect size for these interventions deployed. Overall, these findings represent a comprehensive body of high-quality evidence that blended learning shows great promise in satisfying the learning outcomes, scaffolded by technology.
E-learning Promotion: Effects of Physical Effort and Age on Creativity

Creativity is usually associated with painters, poets, and other individuals who create works of art on a daily basis. This is especially true for creativity in eLearning, as eLearning professionals have the opportunity to produce powerful eLearning experiences that inspire, enlighten, and engage our audience. Given that physical actions and cognition are often intertwined in everyday life, the present study has assessed the concurrent effects of physical activity (hand squeeze) on convergent creative problem-solving.in order to find out a possible new way for people of all ages to learn knowledges effectively while simultaneously promote the productivity of e-learning. Twenty middle-aged Chinese participants conducted a compound remote associates (CRA) task online, a Chinese version of the Remote Associate Test (RAT) while squeezing a hard or soft stress ball under different conditions. They performed significantly worse on the CRA when they exerted hard squeeze on the stress ball as compared to when they squeezed the soft stress ball, suggesting that concurrent physical action impairs creativity. More interestingly, age seems to be positively related to convergent creativity in that the CAR performance increased significantly with age, which was largely driven by the significant correlation between CRA performances and age under the hard squeeze, but not under soft squeeze. In summary, the present study has demonstrated that creative problem-solving ability decreases under simultaneous hand squeeze, but increases with age.
The Moderating Effect of Artificial Intelligence Phobia on the Relationship between Trust and Product Promotion Effectiveness: An Exploratory Study

This research aims to examine the moderating effect of artificial intelligence phobia (AI-phobia) on the relationship between perceived trust and product promotion effectiveness in a recommendation system. The perceived trust consists of three subtypes of trusts: competence trust, benevolence trust and integrity trust. The experimental result shows that the moderating effect is nonsignificant.
The Use of Audiovisual Method for Classroom Practices in Indonesia High School Context

This study aims at describing the implementation of the audiovisual method as classroom practices and observing students' engagement during the implementation of the method. This research is self-observational study which involves one class that consists of 36 high school students. Data were obtained from the activities and assignments that were given to the students, the topic of the given assignments and activities related to basic competence that is designed by Indonesia's government, which is Intentional Expression that involved ways of asking and giving intention. In this study, it is found out that fun and contextual learning play an important role which could makes students more active and motivated in following the learning process. The implementation of audiovisual method as learning media was found less in classroom.
LEDNet: Deep Network for Single Image Haze Removal

Haze during the bad weather, degrades the visibility of the scene drastically. Degradation of scene visibility varies with respect to the transmission coefficient/map (Tc) of the scene. Estimation of accurate Tc is key step to reconstruct the haze free scene. Previously, local as well as global priors were proposed to estimate the Tc. We, on the other hand, propose integration of local and global approaches to learn both point level and object level Tc. The proposed local encoder decoder network (LEDNet) estimates the scene transmission map in two stages. During first stage, network estimates the point level Tc using parallel convolutional filters and spatial invariance filtering. The second stage comprises of a two level encoder-decoder architecture which anticipates the object level Tc. We also propose, local air-light estimation (LAE) algorithm, which is able to obtain the air-light component of the outdoor scene. Combination of LEDNet and LAE improves the accuracy of haze model to recover the scene radiance. Structural similarity index, mean square error and peak signal to noise ratio are used to evaluate the performance of the proposed approach for single image haze removal. Experiments on benchmark datasets show that LEDNet outperforms the existing state-of-the-art methods for single image haze removal.
Completion Rate, Satisfaction and Opinion on Thai Massive Open Online Courses: Reflection on SWU MOOC's Learners

In Thailand, the government (as Thai Cyber University: TCU) has recognized and promoted Massive Open Online Courses (MOOCs) for Thai people nationwide to provide a lifelong learning space without limitations of attendances. In this regard, TCU has funded Srinakharinwirote University (SWU) to develop one course containing 10 subjects according to quality standards of practice in teaching and learning in Thai MOOC system. This paper reported and discussed the completion rate and satisfaction of completion learners who enrolled and completed in SWU MOOC. The results showed that the completion learners are 21% (655 persons). The opinions of completion learners were discussed.
Color Image Super Resolution in Real Noise

In practice, images can contain different amounts of noise for different color channels, which is not acknowledged by existing super-resolution approaches. In this paper, we propose to super-resolve noisy color images by considering the color channels jointly. Noise statistics are blindly estimated from the input low-resolution image and are used to assign different weights to different color channels in the data cost. Implicit low-rank structure of visual data is enforced via nuclear norm minimization in association with adaptive weights, which is added as a regularization term to the cost. Additionally, multi-scale details of the image are added to the model through another regularization term that involves projection onto PCA basis, which is constructed using similar patches extracted across different scales of the input image. The results demonstrate the super-resolving capability of the approach in real scenarios.
Single image dehazing using image boundary constraint and nearest neighborhood optimization

Single image dehazing is an ill-posed problem that requires assumptions, priors and constraints to solve. In this paper, boundary constraint utilizing median filter has been proposed on the image radiance for the rough estimation of transmission-map in haze images. Furthermore, for the refinement of estimated transmission-map, the proposed method use a multi-dimensional feature space that uses nearest neighborhood optimization under the framework of non-local principle. Experimental results manifest that proposed method is effective and results in visually appealing dehaze images that can be useful for subsequent user or computer based application.
The Effects of Social Media Marketing, Trust, and Brand Image on Consumers' Purchase Intention of GO-JEK in Indonesia

The aim of this research is to examine the interaction among social media marketing, trust, brand image, and purchase intention variables among consumers of Go-JEK Indonesia. A causal research design is used in this research to identify a cause-and-effect relationship between each construct. A survey of 350 respondents through online questionnaire distributed to social media users in Indonesia who had previously used GO-JEK services. Furthermore, SEM methods was conducted to analyze the data in this study. Social media marketing, trust, and brand image have significant influence on consumers' purchase intention. The two dimensions of social media marketing that have the most direct influence on purchase intention of GO-JEK's consumers are entertainment and word of mouth. The findings of this research suggest some practical directions for companies to be addressed in using social media marketing.