Miracle-dz/UniFAR-FTUs huggingface dataset:
Plankton Diversity in a Tropical Traditional Fish Farming “Whedos” in the Oueme River (Benin, West Africa) During an Experience of Compensatory Overeating Essay on Clarias gariepinus and Oreochromis niloticus

The objective of this study is to assess the diversity of plankton community in a tropical traditional aquaculture system "whedos" in the Oueme river delta during experiences of compensatory overeating essay on Clarias gariepinus and Oreochromis niloticus. During this study, Planktonic organisms were collected between 16: 00 and 18: 30 on 12, 19 and 26 August 2014 in experimental and witness whedos. A total of 28 taxa of phytoplankton belonging to 4 phylums and 17 families were recorded during this study. Phytoplankton community recorded was marked by numerical dominance of Bacillariophyta and Chlorophyta, respectively 53.57% and 39.28% of total diversity. For the zooplankton, 29 taxa were registered, with numerical dominance of rotifer (15 taxa, 52% of zooplankton total diversity). Brachionidae family presented the highest diversity, with nine species belonging to three genera (Brachionus, Epiphanes and Keratella). Brachionus presents the most important diversity with six species, followed by Keratella (two taxa). Our study reveals that in plankton community, highest diversity was registered in whedo of compensatory overeating essay on Clarias gariepinus and Oreochromis niloticus while control whedo presented the lowest diversity.
Highlights of Attention Mechanisms for Model Interpretability

Neural networks have advanced the state-of-theart in natural language processing (Wu et al., 2019; Joulin et al., 2017). Their performance has made their use ubiquitous, but their lack of interpretability has been a long-standing issue (Li et al., 2016). Attention-based models offer a way to improve performance without sacrificing interpretability. Attention mechanisms were first introduced for machine translation (Bahdanau et al., 2014; Luong et al., 2015), and have since been extended to text classification (Yang et al., 2016), natural language inference (Chen et al., 2016) and language modeling (Salton et al., 2017). Self-attention and transformer architectures (Vaswani et al., 2017) are now the state of the art in language understanding (Devlin et al., 2018), extractive summarization (Liu, 2019), semantic role labeling (Strubell et al., 2018) and machine translation for low-resource languages (Rikters, 2018; Rikters et al., 2018). In this short survey, we first explain attention mechanisms and compare their interpretability in machine translation and text classification. Then, we explore self-attention and highlight the limits of its interpretability. Finally, we provide alternatives and challenges from the literature to attention for model interpretability, and outline suggestions for future work.
Chaos-Based NOMA for Secure Wireless Communications over Rayleigh Fading Channels

Non-orthogonal multiple access (NOMA) is considered as one of the key technologies to achieve the main targets of fifth generation (5G) wireless networks and beyond such as high user connectivity and ultra-reliability. However, as the number of simultaneously served users increased, the security of users’ data becomes a real concern due to high possibility of unauthorized interception. To mitigate the critical security issue, diverse chaos-based communication systems have been introduced in the literature to provide cost-effective solutions for physical layer security. In this paper, an efficient chaos-based NOMA (CB-NOMA) scheme is proposed for secure wireless transmission. The integrated CB-NOMA design is implemented based on chaotic code-domain with equal power allocation for connected users over Rayleigh fading environment. Different chaotic-code formation scenarios with diverse security levels and implementation complexity are considered for chaos shift keying signalling. Intensive simulation results validate the effectiveness of proposed CB-NOMA compared with the considered reference systems. It shows direct relation between the significant improvement in error performance and utilized lengths of chaotic codes apart from employed code generation source. Besides, beneficial tradeoffs are demonstrated between the achieved error rate, user connectivity, security level, and system complexity. Thus, the presented CB-NOMA can be seen as a promising candidate for future secure wireless applications.
Accuracy and precision of the Brazilian livestock data (Census x Estimation): Bovine, Poultry and Pork

Brazil is a leading player in the beef, poultry and pork world markets, ranking as the world‟s largest meat exporter. It is the largest exporter of beef (home to the world‟s biggest commercial cattle) and poultry (being the 3 rd world‟s producer), as well as the 4 th largest producer and exporter of pork. The Brazilian Institute of Geography and Statistics (IBGE), responsible for the statistical information, performs two surveys for livestock: a) the Municipal Livestock Research (called PPM), by estimation, and b) the Livestock Census. In order to assess the reliability of the surveys throughout the Census years (1975, 1980, 1985, 1995 and 2006), data about bovine (heads), poultry (x 1,000 heads) and pork (heads) were collected by states from Census and PPM database. For the evaluation, accuracy and precision of the surveys were tested. Regarding bovine cattle, it can be stated that accuracy and precision, respectively, have lowered over the years, what can be explained by the increase in the herd size (2006 Census was the least accurate). The estimations overestimated the values, as most biases were positive and also the states with larger cattle sizes were more susceptible to errors, i.e. their biases were positively greater. Concerning poultry, the 1975 and 1980 Censuses were not accurate. Over the years, there was reduction in the estimates precision compared to the Census, especially for 1995 and 2006. The states with larger chicken populations were more susceptible to errors, i.e. their biases were positively greater (1975, 1980 and 1985) and tended to be (1995), or were negatively greater (2006), meaning that estimations were higher or lower than Census data, respectively. Regarding pork, it is possible to state that the pig population declined throughout the years (for both censused and estimated values), unlike bovine and poultry. The 1975, 1980 and 1995 Censuses were not accurate, despite the strong indicative of increasing mean bias in the latest years. The residual errors rose over the years, even without growth of pig population. There is indication that the loss in accuracy and precision over the years was no longer dependent on the pig population of the states. So, caution should be paid for states with larger bovine herds and chicken populations, due to the lower ability of the estimation to be consistent with the censused values. Either the estimation may be overestimating or the Census may be underestimating the values, even by under-declaration by the ranchers.
Variations in maternal 5-HTTLPR affect observed parenting

Little is known about the genetic determinants of sensitive parenting. We examined whether the serotonin transporter polymorphism (5-HTTLPR) is an independent predictor of observed maternal sensitivity, and whether observed child social fearfulness moderates the effect of 5-HTTLPR on maternal sensitivity. The population-based sample consisted of 767 mother-child dyads. Maternal sensitivity was repeatedly observed and coded with the Ainsworth’s rating scales for Sensitivity and Cooperation and the revised Erickson rating scales for Supportive Presence and Intrusiveness over a three year period. At 3 years, child social fearfulness was observed using the Stranger Approach episode of the Laboratory Temperament Assessment Battery. Maternal 5-HTTLPR significantly predicted sensitivity; mothers carrying the S-allele were more sensitive towards their children (p = .004). Also, we found some evidence that child social fearfulness moderated the effect of 5-HTTLPR on sensitivity (p = .059). Mothers carrying the S-allele were more sensitive than mothers without S-alleles when parenting children with the lowest fear scores. However, no difference in sensitivity between mothers with different genotypes was observed if they parented more fearful children. Our study showed that variations in maternal 5-HTTLPR genotype appear to be involved in the etiology of parenting behavior. R. Kok_proefschrift_binnenwerk. indd 116 29-01-13 17:20 117 5-HTTLPR and maternal sensitivity
Morphogenetic characterization of Fusarium oxysporum associated with storage rot of ginger in Assam and in vitro evaluation of botanicals

Post-harvest rot of ginger is an important disease which resulted in huge losses in quality as well as quantity of ginger ultimately leads monetary loss to farmers as well as traders. In study of storage rot of ginger, survey under three agro-climatic zones (Upper Brahmaputra Valley zone, Hill Zone and Lower Brahmaputra Valley Zone) of Assam revealed that Fusarium sp. was majorly associated with storage rot of ginger. Their pathogenicity on ginger was determined and the microbes have been identified based on morphogenetic characterization. Morphological features of the isolate were described and Internal Transcribed Spacer (ITS regions) was used to characterize the isolate at molecular level. Molecular phylogenetic analyses revealed that these isolate was assignable to Fusarium oxysporum. Ten botanicals (Acorus calamus, Allamanda cathertica, Allium cepa, Allium sativum, Curcuma longa, Datura wrightii, Lasia spinosa, Laurus nobilis, Ocimum sanctum and piper betle) were evaluated against the pathogen. Aqueous extracts (20%) of A. sativum, A. cathertica and L. nobilis significantly inhibited the growth of F. oxysporum. These three most effective botanicals were further tested at four different concentrations (5, 10, 15 and 20 per cent) and A. sativum (92.22%) at 20 per cent concentration exhibited highest inhibition followed by A. sativum (84.44%) at 15 per cent and A. cathertica (78.22%) at 20 per cent. This was followed by A. sativum (74.44%) at 10 per cent, A. cathertica (73.33%) at 15 per cent and L. nobilis (72.22%) at 20 per cent.
An initial analysis of prediction techniques as a support for the flipped classroom

With the increasing use of active learning methodologies such as the Flipped Classroom (FC), many approaches have been taken to enhance the students’ learning in such contexts. Prediction techniques can be used in combination with Learning Analytics (LA) dashboards for the improvement of the FC model. In this direction, we analyze some theoretical cases in which this approach can provide academic benefits (e.g. providing additional resources or re-designing the class). Furthermore, we present several initial ideas on how to combine two existing software tools, one which provides LA dashboards and the other that implements prediction techniques, that can be used successfully in such scenarios for the FC. This is a preliminary work for the joint use of prediction techniques and LA dashboards in FC contexts.
Evaluation of double whorled balsam (Impatiens balsamina L.) genotypes for growth, flowering and seed attributes

A study was conducted to evaluate the different balsam genotypes for their growth, flowering and seed attributes during the year 2014-15. Eighteen double whorled genotypes of balsam which were collected from different parts of country and maintained at Department of Horticulture, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, U.P., India were evaluated in a Randomize Block Design with three replications. Results of study showed that genotype BD2 resulted in maximum number of branches per plant both primary (11.50) and secondary (18.05), leaf length (14.80 cm), number of flowers/plant (345.66), number of seeds/plant (4025.00), number of pods/plant (345.66) and weight of seeds/plant (55.66 g), whereas, earliest bud initiation (26.33) and early flowering (29.66 days), among all the genotypes. Genotype BD13 showed minimum plant height (46.20 cm) and earliest seed ripening (25.33 days) after pod formation.
Amplifying Quiet voices Challenges and opportunities for participatory design at an urban scale

Many Smart City projects are beginning to consider the role of citizens. However, current methods for engaging urban populations in participatory design activities are somewhat limited. In this paper, we describe an approach taken to empower socially disadvantaged citizens, using a variety of both social and technological tools, in a smart city project. Through analysing the nature of citizens’ concerns and proposed solutions, we explore the benefits of our approach, arguing that engaging citizens can uncover hyper-local concerns that provide a foundation for finding solutions to address citizen concerns. By reflecting on our approach, we identify four key challenges to utilising participatory design at an urban scale; balancing scale with the personal, who has control of the process, who is participating and integrating citizen-led work with local authorities. By addressing these challenges, we will be able to truly engage citizens as collaborators in co-designing their city.
Multi-component Estimation of PLS Predictive Path Modeling

The PLS approach to structural equation modeling (PLS Path Modeling, PLS-PM) is currently considered as a component-based approach. PLS-PM has been more recently revisited also as a general framework for multiple table analysis. Here we present two new approaches to estimating outer weights in PLS Path Modeling framework. Nous proposons ici deux nouvelles mthodes d’estimation des poids externes dans le cadre de la PLS-PM: the PLScore Mode and the PLScow Mode. Both modes involve integrating a PLS Regression as an estimation technique within the outer estimation phase of PLSPM. However, in PLScore Mode a PLS Regression is run under the classical PLS-PM constraints of unitary variance for the LV scores, while in PLScow Mode the outer weights are constrained to have a unitary norm thus importing the classical normalization constraints of PLS Regression. We show how the two new modes are linked to PLS-PM classic outer estimation methods, that is Mode A and Mode B, as well as to New Mode A recently proposed by Tenenhaus & Tenenhaus (2011). Int. Statistical Inst. : Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS037) p.4769
GROUND STATE SOLUTIONS FOR A QUASILINEAR SCHRÖDINGER EQUATION WITH SINGULAR COEFFICIENTS

In this article, we study the quasilinear Schrödinger equation with the critical exponent and singular coefficients, −∆u+ V (x)u−∆(|u|)u = λ |u|q−2u |x|μ + |u|22(ν)−2u |x|ν in R , where N ≥ 3, 2 < q < 22∗(μ), 2∗(s) = 2(N−s) N−2 , and λ, μ, ν are parameters with λ > 0, μ, ν ∈ [0, 2). By applying the Mountain Pass Theorem and the Concentration Compactness Principle, we establish the existence of the ground state solutions to the above problem.
CAN ENERGY PROJECTS BE OVER-EVALUATED?

250 WORDS) The UK government is investing £102.5m into a programme called ‘Prospering from the Energy Revolution’ (PFER). PFER includes four energy ‘demonstrator’ projects, and 10 ‘design’ projects. A consultancy will evaluate the entire PFER programme; a consortium of researchers spanning 22 universities (EnergyRev) and the Energy Revolution Integration Service will evaluate aspects of the projects; which will also be closely monitored by the funder (Innovate UK). This paper focuses on one of the demonstrator projects, ‘Energy Superhub Oxford’ (ESO), on which a fifth team of evaluators is conducting further evaluation work. Identifying a gap in the energy evaluation literature, this paper introduces the idea that projects can be over-evaluated. It seeks to identify what this might look like, its implications, and how it can be managed. Findings from the first year of PFER show that there is significant overlap in the aims and scope of each evaluator, with potential for duplication, wasted resources and consultation fatigue. ESO partners feel overwhelmed by requests for data and information; are struggling to prioritise; and are confused about the role of each evaluator. We define three characteristics of over-evaluation: too many cooks, too much consultation, and too much data, and discuss their potential positive implications as well as their more obvious downsides. We argue that energy transition trends may make over-evaluation more common, and avoiding its pitfalls may not be straightforward. As the first paper of its kind, we aim to stimulate debate amongst the energy evaluation community about the prevalence and dangers of over-evaluation.
Quantile regression modelling of some Brazilian anthropometric data

In Brazil, the main recent official source of basic anthropometric data (height and weight) is the Consumer Expenditure Survey (POF) conducted by the IBGE in 2002/03 and 2008/09. Estimates of the median height (length for babies) and weight (body mass) are released by sex and age group, with federation units as the lowest level of geographic disaggregation. The age groups used vary from 0 to 19 in 1 year intervals, 20 to 34 in 5 year intervals, 35 to 74 in 10 year intervals. 75 and above is the last interval. As a consequence, only small samples are available to estimate these medians in many of the federation units and sex × age groups. Nevertheless, there is increasing demand for such estimates, and for estimates for even lower levels of geographic disaggregation. In this paper, linear quantile regression models were used to obtain estimates for selected quantiles (centiles 10, 50 and 90) of height and weight by sex and age in each federation unit, using data from the POF 2008/09. The Quantile Regression estimates yielded noticeable improvements in comparison to direct estimates for the same parameters.
How to sample larval fish for taxonomical and ecophysiological studies in shallower temperate coastal ecosystems

Recruitment predictions for fish are often difficult to make due to the intrinsic variability of species and the incomplete sampling procedures. The aim of this study was to analyse the fish larval catches (abundance, diversity, size and damage) from a standard 500 ∝m ichthyoplankton net and different light traps (structure, size and light intensity) in temperate coastal turbid waters. Catches from different gears were always made on the same date or season, same location and same tidal phase. Results showed that light traps captured significantly bigger larvae (almost post-flexion) than those captured with the ichthyoplankton net, nevertheless the diversity was lower. Clupeidae species were the most represented taxon; however, the traps also caught Atherinidae, Gobiidae, Sparidae, Soleidae and Labridae. The light traps were less stressful devices, allowing the capture of live and active larvae. This showed other possible uses for the light trap, e.g. larval behavioural and physiological studies. Light traps constitute a good complementary sampling option for post-flexion larvae, being aware of species selectivity associated with their use. Resume :Comment echantillonner les larves de poisson pour des etudes taxonomiques et ecophysiologiques dans des ecosystemes cotiers temperes peu profonds ? Les previsions de recrutement des poissons sont souvent difficiles a realiser en raison de la variabilite intrinseque des especes mais aussi en raison de lacunes dans les procedures d'echantillonnage. L'objectif de cette etude est d'analyser les captures de larves de poisson (abondance, diversite et taille) avec un filet ichtyoplancton (500 µm) et un piege de lumiere dans des eaux cotieres temperees. Les echantillons ont ete realises toujours a la meme date ou a la meme saison, au meme endroit, et lors de la meme phase de maree. Les resultats montrent que les pieges lumineux capturent les larves significativement plus grosses (presque au stade de post-flexion) que le filet ichtyoplancton, mais la diversite est plus faible. Les Clupeidae sont les especes les plus representees (taxons), neanmoins, les pieges ont aussi recolte des Atherinidae, Gobiidae, Sparidae, Soleides et Labridae. Les pieges lumineux sont des dispositifs moins stressants qui permettent la capture de larves vivantes et actives. Ceci montre d'autres utilisations possibles pour les pieges a lumiere, par exemple pour l'etude du comportement des larves et les etudes physiologiques. Des pieges lumineux constituent une bonne option d'echantillonnage complementaire pour des larves au stade de post-flexion, etant conscient de la selectivite des esperes liee a leur utilisation.
Assessing Washington State Landowners' Interest and Concerns Regarding Growing Bioenergy Crops

Bioenergy industries will depend, in part, on interested and informed landowners who are willing to grow bioenergy crops. We surveyed landowners in Washington State to gain insight into their knowledge and interest regarding bioenergy crops and the importance of various cropping decision factors. The majority of landowners surveyed were not familiar with bioenergy crops and/or were unlikely to grow them. They indicated that profit, soil and land preservation, and water quality are all important factors to consider when making cropping decisions. Our results provide Extension professionals with an enhanced understanding of perceived challenges and advantages related to growing bioenergy crops.
STUDYING ADAPTABILITY OF EUCALYPTS CLONES TO WATER LOGGED AND EFFLUENT

The present study entitled ‘Studying adaptability of Eucalypts clones to water logged and effluent irrigated environments’ was carried out at different locations during 2016 to 2018. Nine Eucalyptus clones were studied under effluent irrigated conditions. Survival varied from 95 to 100 per cent and differences among clones were non-significant. Clone C-413 was observed as most promising clone regarding mean height. In terms of DBH, PE-5 attained the highest and PE-8 got the lowest rank. In the second experiment, eight clones were studied under three different soil types. Out of three soil typesS1 (Normal soil), S2 (Salt affected soil) and S3 (Mixed soil), all the clonal plants raised in S1 soil registered maximum plant height, collar diameter and number of leaves and branches. Significantly lowest values were found under S2 (Salt affected soil). Significant differences among clones were observed for all growth traits recorded at various ages. Clone PE-11 showed the maximum plant height, collar diameter and number of leaves; clones C-405 and PE-11 recorded significantly higher values in terms of number of branches. S1 (Normal soil) showed the maximum values for dry shoot and root biomass. Under salt affected conditions, the relative ranking of Eucalyptus clones for stem biomass were PE-11> C-2169 >P-27> P-23> C405 > C-2135 > P48> C-2013. The third experiment had two clones viz. PE-1 and C-413, were studied under two water table depths (30 cm and 60 cm). The differences between the clones as well as between the water table depths were found to be significant. At 60 cm water table depth, the height and collar diameter were significantly higher. The performance of clone C-413 was found significantly superior to PE-1 in terms of mean height. With respect to collar diameter, non-significant differences were found between the clones. The present study revealed huge variation in Eucalyptus clones for various abiotic stresses.