Miracle-dz/UniFAR-FTUs huggingface dataset:
Cinétique de la purification par plasma de silicium pour cellules photovoltaïques : étude expérimentale par spectrométrie Kinetics of the plasma refining process of silicon for solar cells

Le procede de purification par plasma, etudie dans ce travail, peut efficacementenlever le bore du silicium. En combinaison avec d’autres procedes on peut ainsipurifier du silicium pour des cellules solaires a bas couts. Cependant, la chimie a lasurface du silicium est encore mal comprise. Pour une meilleure comprehension duprocede nous effectuons des mesures parametriques de vitesse de purification, nouscalculons l’equilibre chimique et nous mesurons la temperature et la concentrationdes radicaux dans le plasma, utilisant la spectroscopie d’emission.La comparaison entre des vitesses de purification de la litterature et desconcentrations a l’equilibre chimique calcule montre que les reactions chimiques a lasurface du silicium sont probablement en equilibre. Cependant, le rapport entre lebore et le silicium dans les gaz en sortie du reacteur est plus eleve que predit par lescalculs de l’equilibre chimique. Ceci est probablement du a la formation d’un aerosolde silice dans la couche limite reactive. Les resultats des mesures parametriques dela vitesse de purification sont en accord avec cette theorie.Plusieurs experiences de validation montrent que la spectroscopie d’emission peutetre utilise pour mesurer la temperature et les rapports de concentration O/Ar et H/Ardans le plasma. Les resultats des mesures spectroscopiques ont aide a ameliorer defacon significative un modele numerique. Les resultats ont montre que l’hydrogenediffuse fortement dans le plasma tandis que l’oxygene diffuse beaucoup mo
O PROTAGONISMO ESTUDANTIL NA ELABORAÇÃO DE PROPOSTAS PEDAGÓGICAS NA ESCOLA: AVALIAÇÃO DE UM ESTUDO DE CASO

O presente texto objetiva-se em relatar uma atividade desenvolvida no Instituto Federal Goiano - Câmpus Avancado Catalao, que teve como principio a problematizacao de um contexto trazido pelos proprios estudantes do ensino medio. O trabalho surgiu em duas aulas conjuntas das disciplinas de Quimica e Sociologia, quando os docentes oportunizaram espacos para a dialogicidade em sala de aula. A intencao inicial das aulas foi dar vozes aos estudantes para que eles tivessem participacao ativa nas aulas ministrada pelos professores. Percebemos que os estudantes sao receptivos a praticas em que eles sao os protagonistas da atividade. No entanto, talvez a grande dificuldade diz respeito ao fato de superarmos um paradigma que vem a seculos existindo na escola: (re)adaptar as nossas praticas a partir dos questionamentos trazidos pelos estudantes.
A PRODUÇÃO DE JOGOS DIDÁTICOS PARA O ENSINO DE BIOLOGIA: CONTRIBUIÇÕES E PERSPECTIVAS

Visando contribuir para melhorias no processo de ensino e aprendizagem em Biologia, diversas metodologias e estrategias didaticas sao descritas na literatura como opcoes a serem utilizadas. De modo a tornar mais interessante e atrativo o contato com os conteudos, entre elas estao os jogos didaticos, que propiciam ao aluno um contato mais dinâmico com conteudos de areas especificas. Este trabalho tem como objetivo descrever a elaboracao de quatro jogos didaticos que foram criados para serem utilizados como metodologias alternativas a aula tradicionalmente expositiva sobre os conteudos das areas de Evolucao e Ecologia, como teorias evolutivas, preservacao ambiental e biodiversidade. Espera-se que a utilizacao destes jogos didaticos contribua positivamente para a educacao em Biologia, auxiliando o processo de ensino e aprendizagem de forma diferenciada e atrativa, colaborando assim para a construcao do conhecimento.
Plant Feedstocks and their Biogas Production Potentials

Nowadays, organic waste utilization and replacement of fossil energy sources with their renewable alternatives pose a challenging problem both for industrially developed and developing countries. Anaerobic digestion of organic biomass into biogas is considered an efficient technology for bioenergy production. Over the period from 2009 to 2018, the global biogas production capacities have more than doubled and are continuing to grow. The composition and the amount of biogas depend strongly on the type of the substrate. Various types of feedstock can be used for the production of biogas such as animal wastes, agricultural residues, and dedicated energy crops.
Zeror: Speed Up Fuzzing with Coverage-sensitive Tracing and Scheduling

Coverage-guided fuzzing is one of the most popular software testing techniques for vulnerability detection. While effective, current fuzzing methods suffer from significant performance penalty due to instrumentation overhead, which limits its practical use. Existing solutions improve the fuzzing speed by decreasing instrumentation overheads but sacrificing coverage accuracy, which results in unstable performance of vulnerability detection. In this paper, we propose a coverage-sensitive tracing and scheduling framework Zeror that can improve the performance of existing fuzzers, especially in their speed and vulnerability detection. The Zeror is mainly made up of two parts: (1) a self-modifying tracing mechanism to provide a zero-overhead instrumentation for more effective coverage collection, and (2) a real-time scheduling mechanism to support adaptive switch between the zero-overhead instrumented binary and the fully instrumented binary for better vulnerability detection. In this way, Zeror is able to decrease collection overhead and preserve fine-grained coverage for guidance. For evaluation, we implement a prototype of Zeror and evaluate it on Google fuzzer-test-suite, which consists of 24 widely-used applications. The results show that Zeror performs better than existing fuzzing speed-up frameworks such as Untracer and INSTRIM, improves the execution speed of the state-of-the-art fuzzers such as AFL and MOPT by 159.80%, helps them achieve better coverage (averagely 10.14% for AFL, 6.91% for MOPT) and detect vulnerabilities faster (averagely 29.00% for AFL, 46.99% for MOPT).
Chapter 4. Creating and Exploring New Worlds: Web 2.0, Information Literacy, and the Ways We Know

This chapter—more of a story, perhaps, than a dialogue between two disciplines interested in writing, although informed by each—identifies the current moment of information literacy (IL) as an ecosystem requiring new ways of researching, including new means of determining credibility of sources. It begins by outlining three periods in the recent history of IL as experienced by the researcher: (1) the period when gatekeepers were available to help assure credibility of sources; (2) the period of online access to information held in brick and mortar libraries, with digitized information providing new ways of organizing information and thus new ways of seeing; and (3) the most recent period located in a wide ecology of interacting sources—academic; mainstream; and “alternative”—sources that include texts, data, and people inside the library, of course, but ranging far beyond it. In such an ecology, as we see in the information ecologies presented in both the Framework for IL (ACRL, 2015) and Rolf Norgaard’s chapter (Chapter 1, this collection), students trace some sources and actively identify and invite others: research, in other words, has become a variegated set of processes, including searching and confirming credibility, but including as well initiating contact with and interacting with sources. Given this new context for research, I also consider how we can introduce students to this new normal of researching and identify some tasks we might set for students so that they learn how to determine what’s credible and what’s not—in addition to considering how, if in the future students are not only knowledgeconsumers but also knowledge-makers, we can support this development, too.
MALAYSIAN JOURNAL OF CONSUMER AND FAMILY ECONOMICS 123 DOES THE BIJAK WANG (SMART MONEY) PROGRAMME BENEFIT

The Bijak Wang or Smart Money programme is a half-day interactive workshop on money and money management targeted at children aged 10 to 12 years. The objective of the programme is to develop financial literacy through the use of an interactive games kit i.e. Smart Money Kit: Bright Kids Smart Money. This innovative programme was developed as an alternative learning and teaching tool for children to acquire personal financial management knowledge and skills with guidance from parents and adults. The kit comprises conservative board games that help to sharpen children‟s soft skills in communication, strategic planning and critical thinking. Research literature has revealed that instilling money management knowledge and skills in children will impact positively on them, empowering them to manage better their finances in future. The concept behind this programme is learning through play. This programme was conducted with four groups of participants from different geographical areas. Participants engaged in gameplay with Profesor Bijak Wang and Ekspedisi ABCD which are both board games; Cuba Ingat dan Teka which is a flash card game; and Reka Tabung ABCD. All these games are highly integrated with the six basic money management concepts. As the participants play, they undergo cognitive absorption of money management concepts, which they will tend to apply in their future daily lives. Pre and post-testing using a self-administrated questionnaire was conducted to analyse the level of money management skills and knowledge the children had before participating in the programme and the level that they had acquired after they had participated in the various gameplays. The results of the post-test show that the children‟s financial literacy improved with their increased acquisition of money management skills and knowledge as compared to the level they initially had as revealed by the results of the pre-test conducted. This indicates that children learn effectively through interactive learning using the Smart Money Kit: Bright Kids Smart Money. As such, parents and teachers should use innovative and creative approaches in educating children about money and money management and treat this learning as a lifelong process so children will make prudent financial decisions in their future.
Improving on hash-based probabilistic sequence classification using multiple spaced seeds and multi-index Bloom filters

Alignment-free classification of sequences against collections of sequences has enabled high-throughput processing of sequencing data in many bioinformatics analysis pipelines. Originally hash-table based, much work has been done to improve and reduce the memory requirement of indexing of k-mer sequences with probabilistic indexing strategies. These efforts have led to lower memory highly efficient indexes, but often lack sensitivity in the face of sequencing errors or polymorphism because they are k-mer based. To address this, we designed a new memory efficient data structure that can tolerate mismatches using multiple spaced seeds, called a multi-index Bloom Filter. Implemented as part of BioBloom Tools, we demonstrate our algorithm in two applications, read binning for targeted assembly and taxonomic read assignment. Our tool shows a higher sensitivity and specificity for read-binning than BWA MEM at an order of magnitude less time. For taxonomic classification, we show higher sensitivity than CLARK-S at an order of magnitude less time while using half the memory.
Resolving Function Tagging Ambiguity in the Myanmar Language Using Transformation-Based Learning

This article investigates the use of transformation-based learning for resolving function tagging ambiguity in the Myanmar language. Function tagger plays an important role in natural language applications like speech recognition, natural language parsing, information retrieval and information extraction. In this paper, the function tagger [12] learns rules to correct its mistakes. A set of rule templates is used to create specific rules. At initial stage of function tagging for Myanmar, it is trained with a very limited resource of annotated corpus. The performance can be maximized with a substantial amount of annotated corpus. The function tagset has been developed for training and testing the function tagger. The present tagset consists of 56 tags. A corpus size of about three thousand sentences is used for training and testing the accuracy of the function tagger. The tagger learned 192 rules (including lexical and contextual rules) and achieved 93% accuracy.
Effects of Estrone and Temperature on the Predator-Prey Relationship Between Bluegill Sunfish and Fathead Minnows

Contaminants of emerging concern (CECs), for example estrone (E1), and their effects to aquatic organisms have been researched consistently, however little is known about how temperature can influence exposure effects of CECs. Chemical exposures and temperature have been shown to independently affect fish and their populations, but little is known about their impact on predator-prey relationships. Previous studies indicate that changes arise through behavioral and physiological changes in either predator or prey. To test the effects of E1 and temperature on predator-prey relationships, adult bluegills and larval fathead minnows were exposed to E1 (125, 625 ng/L) or an ethanol control for 30 days at four temperatures (15°C, 18°C, 21°C, 24°C) to reflect natural variation between seasons. Behavioral experiments were conducted to assess the effects of temperature and estrone exposure on minnows in the larval life stage (i.e., foraging and predator evasion). Significant differences due to water temperature were observed in body length, escape angle, and total escape response of predator evasion responses. On day 30 of exposure, predation trials were performed using one adult sunfish and a group of five control and five exposed (125 or 625ng/L) larvae. Exposed larvae (125ng/L: 49.2%; 625ng/L: 52.9%) displayed a concentration-dependent reduction in survival in comparison to the control minnows (74.2%) following predation from the sunfish predator. Additionally, the prey catching abilities of the sunfish may have been affected, potentially mitigating the predation effects on the minnows. In addition, a series of anatomical and physiological endpoints were explored to assess the independent and interactive effects of estrone exposure and temperature on plasma vitellogenin induction, blood glucose, histology, and morphometric indices on sunfish in the adult life stage. This study provides evidence that minnow populations may suffer due to impaired predator evasion performance and provides information for environmental agencies evaluating ecological effects of exogenous estrogens and climate change.
THE EFFECTS OF ADDITION OF OMEGA-3 FATTY ACIDS ON SOME QUALITY OF AWASSI RAM’S CHILLED SPERM

This study was carried out in Department of animal Reproduction, College of Agriculture, university of Diyala to investigate the effect of adding omega3 to tris extender on the some semen characteristics Color and Volume of ejaculate, individual motility, live sperm, abnormal sperm%, Viability of sperm Acrosome integrity%, ALT and AST to 3-5 day after storage at (5°C). Semen was collected from 3 Ram a 1.5 to 2 years old and 46-53kg body weight. All Semen in the treatments pooled and divided into four parts adding different concentratAwassi of omega3 to the tris extender (T0=0, T1=0.5, T2=1, T3 =2 %) from percentage of egg yolk in extender. The results showed that there were significant differences (P≤0.05) in individual motility between (T2,T3) comparison to (T0,T1) to Third day after storage at 5oC. And in live sperm percentage comparison to T0 at Third day, there was significant differences (P≤0.05) in live sperm percentage between (T2) comparison to (T0,T1) at fivth day. There was non significant differences (P≤0.05) between treatment in abnormality sperm percentage. The results showed that there were significant differences (P≤0.05) in Acrosome integrity between (T2,T3) comparison to (T0,T1) to Third day. The results showed that there were dicrease significant differences (P≤0.05) in AST, ALT between (T2,T3) comparison to (T0,T1) to Third day after dilution and storage at 5oC. Keyword: Storage of semen, Omega-3, Ram
Starfish Dermatitis Due to Marthasterias Glacialis

Some marine organisms are known to inflict contact dermatitis, whether secondary to professional or recreational activities. We report a 23-year-old white woman with hypersensitivity reaction induced by Marthasterias glacialis starfish. To our knowledge this is the first report of starfish hypersensitivity reaction induced by Marthasterias glacialis on human skin. Because of the growing popularity of recreational subaquatic activities, such as scuba diving, reports about diving-related skin diseases are expected to increase.
Cyanophycin: A Nitrogen-Rich Reserve Polymer

Cyanophycin is a nitrogen/carbon reserve polymer present in most cyanobacteria as well as in a few heterotrophic bacteria. It is a non-ribosomally synthesized polyamide consisting of aspartate and arginine (multi- l -arginyl-poly- l -aspartic acid). The following chapter provides an overview of the characteristics and occurrence of cyanophycin in cyanobacteria. Information about the enzymes involved in cyanophycin metabolism and the regulation of cyanophycin accumulation is also summarized. Herein, we focus on the main regulator, the P II signal transduction protein and its regulation of arginine biosyn- thesis. Since cyanophycin could be used in various medical or industrial applications, it is of high biotechnological interest. In the last few years, many studies were published aiming at the large-scale production of cyanophycin in different heterotrophic bacteria, yeasts and plants. Recently, a cyanobacterial production strain has been reported, which shows the highest so ever reported cyanophycin yield. The potential and possibilities of biotechnological cyanophycin production will be reviewed in this chapter.
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms

When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, programming languages, and system software can trade deviations from correct behavior for lower resource usage. We present, for the first time, a synthesis of research results on computing systems that only make as many errors as their users can tolerate, from across the disciplines of computer aided design of circuits, digital system design, computer architecture, programming languages, operating systems, and information theory. Rather than over-provisioning resources at each layer to avoid errors, it can be more efficient to exploit the masking of errors occurring at one layer which can prevent them from propagating to a higher layer. We survey tradeoffs for individual layers of computing systems from the circuit level to the operating system level and illustrate the potential benefits of end-to-end approaches using two illustrative examples. To tie together the survey, we present a consistent formalization of terminology, across the layers, which does not significantly deviate from the terminology traditionally used by research communities in their layer of focus.
The decline of labour market institutions rise in wage inequality in Britain and the

At the same time as the role of labour market institutions declined very dramatically in Britain there was a very sharp rise in wage inequality that, since 1980, has increased at a faster pace than in most advanced countries. Britain in the 1980s and early 1990s therefore provides a very good testing ground for evaluating the importance of labour market institutions in explaining the evolution of the wage structure. I look at this in terms of two institutions that have traditionally propped up wage levels at the bottom end of the wage distribution, unions and minimum wages. I find that their weakening has played an important part in the rise in wage inequality in Britain.
Proximate analysis and hematological evaluation of ethanol leaf extract of Moringa oleifera (Lam)

Increasing interest in medicinal plants has increased scientific scrutiny of their therapeutic potentials and safety. This work evaluated the proximate analysis and toxicological effects and its consequences on hematological parameters of Moringa oleifera leaf. Proximate analysis showed that the leaf contains carbohydrate, fats, protein and fibre. It also shows the presence of nitrogen, calcium, magnesium, phosphorus, potassium, zinc, iron, copper, and sulphur. Subacute toxicity was done on Wistar albino rats for 28 days. There were no changes in body and organ weight except a statistical decrease in the spleen weight. Hematological investigation revealed an increase in mean corpuscular volume, granulocytes, and monocytes. There was a decrease in white blood cells and lymphocytes. The work shows that the leaf of the plant is nutritious and it is relatively safe at low dose. However, further evaluation of its long term effects may be necessary.
INTELLIGENT RECOMMENDATION SYSTEM A COMPREHENSIVE STUDY ON DEEP LEARNING-BASED CF MODEL

— The models based on collaborative filtering (CF) are capable of understanding the relationship or connection between the users and objects being considered. Established CF-based systems, however, can only understand a particular form of relationship, such as a restricted Boltzmann system that seizes the user-user connection or item-item relationship distinctly. At the other hand, factorization of matrixes specifically describes the relation between them.To address these shortcomings in CF-based approaches, we suggest a novel approach of deep learning that mimics an efficient smart suggestion through previous knowledge of users and objects. In the initial level, the related low-dimensional object vectors and objects are studied separately, which embeds the semantic knowledge representing the association between the object and the item-item. Feed-forward neural networks are used during the prediction stage to model the relationship between user and object, where the corresponding pre-trained representational vectors are used as inputs of the neural networks. Several experiments based on two benchmark datasets (MovieLens 1 M and MovieLens 10 M) are conducted to verify the effectiveness of the proposed method, and the result shows that our model outperforms previous methods using feed-forward neural networks by a significant margin and performs very similarly on both datasets to state-of-the-art methods.
The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study

Abstract. A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis relies on the construction of the system's pullback attractors (PBAs) through ensemble simulations, based on a large number of initial states in the remote past. A preliminary analysis of the autonomous system is carried out by investigating its bifurcation diagram, as well as by calculating a metric that measures the mean distance between two initially nearby trajectories, along with the system's entropy. We find that nonchaotic attractors can still exhibit sensitive dependence on initial data over some time interval; this apparent paradox is resolved by noting that the dependence only concerns the phase of the periodic trajectories, and that it disappears once the latter have converged onto the attractor. The periodically forced system, analyzed by the same methods, yields periodic or chaotic PBAs depending on the periodic forcing's amplitude ε. A new diagnostic method – based on the cross-correlation between two initially nearby trajectories – is proposed to characterize the transition between the two types of behavior. Transition to chaos is found to occur abruptly at a critical value εc and begins with the intermittent emergence of periodic oscillations with distinct phases. The same diagnostic method is finally shown to be a useful tool for autonomous and aperiodically forced systems as well.