Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis Using Deep Learning Approach

: Deep learning has made a great breakthrough in the field of speech and image recognition. Mature deep learning neural network has completely changed the field of nat ural language processing (NLP). Due to the enormous amount of data and opinions being produced, shared and transferred everyday across the Internet and other media, sentiment analysis has become one of the most active research fields in natural language processing. This paper introduces three deep learning networks applied in IMDB movie reviews sent iment analysis. Dataset was divided to 50% positive reviews and 50% negative reviews. Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) neural networ ks are two main types, which are widely used in NLP tasks, while Convolutional Neural Networks (CNN) is often used in image recognition. The results have shown that, CNN n etwork model can achieve good classification effect when applied to sentiment analysis o f movie reviews. CNN have reported the accuracy of 88.22%, while RNN and LSTM hav e reported accuracy of 68.64% and 85.32% respectively.
Resource limitation determines temperature response of unicellular plankton communities

A warmer ocean will change plankton physiological rates, alter plankton community composition, and in turn affect ecosystem functions, such as primary production, recycling, and carbon export. To predict how temperature changes affect plankton community dynamics and function, we developed a mechanistic trait‐based model of unicellular plankton (auto‐hetero‐mixotrophic protists and bacteria). Temperature dependencies are specifically implemented on cellular process rather than at the species level. As the uptake of resources and metabolic processes have different temperature dependencies, changes in the thermal environment will favor organisms with different investments in processes such as photosynthesis and biosynthesis. The precise level of investments, however, is conditional on the limiting process and is ultimately determined dynamically by competition and predation within the emergent community of the water column. We show how an increase in temperature can intensify nutrient limitation by altering organisms' interactions, and reduce relative cell‐size in the community. Further, we anticipate that a combination of temperature and resource limitation reduces ecosystem efficiency at capturing carbon due to strengthening of the microbial loop. By explicitly representing the effects of temperature on traits responsible for growth, we demonstrate how changes on the individual level can be scaled up to trends at the ecosystem level, helping to discern direct from indirect effects of temperature on natural plankton communities.
The European Values Study 2017: On the Way to the Future Using Mixed-Modes

The European Values Study (EVS) was first conducted in 1981 and then repeated in 1990, 1999, 2008, and 2017, with the aim of providing researchers with data to investigate whether European individual and social values are changing and to what degree. The EVS is traditionally carried out as a probability-based face-to-face survey that takes around 1 hour to complete. In recent years, large-scale population surveys such as the EVS have been challenged by decreasing response rates and increasing survey costs. In the light of these challenges, six countries that participated in the last wave of the EVS tested the application of self-administered mixed-modes (Denmark, Finland, Germany, Iceland, the Netherlands, and Switzerland). With the present data brief, we will introduce researchers to the latest wave of the EVS, the implemented mode experiments, and the EVS data releases. In our view, it is pivotal for data use in substantive research to make the reasoning behind design changes and country-specific implementations transparent as well as to highlight new research opportunities.
The role of dairy fat on cardiometabolic health: what is the current state of knowledge?1

Abstract: The purpose of this review is to examine the recent literature concerning the role of dairy fat intake on cardiometabolic health, focusing on prospective cohort studies that evaluated associations between dairy fat intake and cardiovascular disease (CVD) and type 2 diabetes (T2D). In general, studies using self-reported dietary assessment methods found no association between self-reported high-fat or low-fat dairy intake and CVD, a neutral association between low-fat dairy intake and incident of T2D, and either a protective association or no association between high-fat dairy intake and incident of T2D. Inconsistent classification of dairy foods as low- or high-fat and variable adjustment for potential confounders may have contributed to the heterogeneity of results. In contrast, results from studies using pentadecanoic acid (15:0), heptadecanoic acid (17:0), or trans-palmitoleic acid (t-16:1n-7) as biomarkers have provided consistent evidence that dairy fat intake was negatively associated with CVD and T2D risk. Taken together, results from prospective studies do not support the assumption that higher dairy fat intake is associated with increased risk of CVD, but they do support the hypothesis that dairy fat intake could be protective for T2D. Randomized controlled trials are needed to establish a cause-and-effect relationship between dairy fat intake and cardiometabolic disease risk.
Flipped-Small Private Tuition Online Course in Learning English for Rural Students

There is still a lack of studies to implement a Small Private Online Course for learning communities. This study aimed to identify the teaching and learning (T&L) process carried out when using an English Flipped-Small Private Tuition Online Course (EESPtoc) based on Gagne's theory. Using purposive sampling, respondents were selected among rural primary school students. The respondents were introduced to the EESPtoc, which is a free tuition online platform for 4 sessions. A questionnaire and interview were used to collect data. SPSS software was used for data analysis in the form of descriptive statistics. Findings show that students have positive responses toward the use of EESPtoc and the interview had also supported the finding of the survey. To enhance this study, further research is recommended to look into the long-term effects of exploring retention of knowledge and skills from the use of the EESPtoc in the T&L process.
Understanding Game-based Approaches for Improving Sustainable Water Governance

In this editorial, the authors (and guest editors) introduce the Special Issue titled Understanding Game-based Approaches for Improving Sustainable Water Governance: The Potential of Serious Games to Solve Water Problems. The authors take another look at the twelve contributions, starting from the subtitle question: what is the potential? The authors summarize the insights and give directions for future research.
A systematic review of collective tactical behaviour in futsal using positional data

Although many studies on collective tactical behaviour have been published in the last decade, no study has revised and summarized the findings provided for futsal. The main aim of this systematic review was to identify and discuss the geometrical centre (GC), distance and area tactical variables used to assess team behaviour in futsal. In addition, it summarizes the findings on the tactical response during futsal competition and training. A systematic review of the relevant articles provided on futsal was carried out using seven electronic databases (SPORTDiscus, ProQuest, Cochrane Plus, Scopus, Google Scholar, PubMed and Web of Science) until September 25, 2019. From a total of 1,209 studies initially found, 12 were included in the qualitative synthesis. There were some trends in the analysis of positional data in futsal with the most relevant situations analysed being 1 vs 1 and 5 vs 4+Goalkeeper. The distances and angles between two points were the most assessed tactical variables. Five types of distance variables were used to assess collective tactical behaviour in futsal: GC-GC, GC-player, player-player, player-ball and player-space. Pressure (GC-GC) was greater in shots on goal than in tackles during professional futsal matches. Area variables were reduced to occupied space, exploration space and dominant area. Occupied space was measured only during competition while the dominant area was measured only during training sessions. The surface area and dominant regions were greater when players were attacking in comparison to when they were defending. In addition, two non-linear techniques (i.e. relative phase and entropy) were applied to analyse synchronisation and complexity and regularity or predictability. Defenders were highly synchronous, while attackers tried to break this coordination to achieve possibilities for action. Task constraints are suitable to induce different regularity patterns. This review is an opportunity to develop studies aimed at bridging the gap in collective tactical behaviour in futsal.
The coral-killing sponge Chalinula nematifera as a common substrate generalist in Komodo National Park, Indonesia

ABSTRACT Chalinula nematifera is an encrusting sponge (Porifera: Haplosclerida), which can overgrow live corals. Originally described from the central Pacific (Marshall Islands), this coral-killing sponge is raising concerns due to its rapid range expansion in the Pacific. Its ability to overgrow various coral species was documented at Komodo National Park in October 2016. It was observed at six sites out of ten, where it was overgrowing and/or peripherally interacting with living corals belonging to 13 species, some of which represent new host records. It was also found on dead coral colonies previously covered by algae or sediment, and on encrusting coralline algae. Its habitat choice showed no obvious preferences regarding host corals and depth range.
Preparative Chromatographic Separation of Ternary Mixtures - Analysis of Fractionation Times and Novel Concepts

Preparative chromatographic techniques are widely employed today in pharmaceutical and biochemical industries. Optimal isolation of a target component with high purity is of significant importance in a sector with continuously increasing quality standards. The components of interest are often part of complex mixtures. Over the years, preparative batch chromatography has been successfully used to isolate target components from multi-component mixtures. It has been demonstrated frequently that by exploiting certain additional operational aspects, the separation performance of classical methods could be further enhanced. In this thesis, novel operating modes derived from classical schemes are evaluated focusing on the optimal separation of specific target components from multi-component mixtures. Initially, a general framework has been provided for finding the critical fractionation or cut-times required to evaluate performance. New strategies were developed to find the cut-times based on a discrete and a continuous approach. The efficiency of these methods was compared with that of a widely implemented algorithm based on the evaluation of local purities. The robustness of the methods was analyzed using two theoretical case studies. In the next part, the separation potential of a new scheme involving an initial solvent gradient and closed-loop recycling has been evaluated. Using specific objective functions, the separation performance of this new concept was compared with those of conventional operational modes. The new scheme showed an enhanced separation performance when the selectivities of the target component with respect to the neighboring components decreased with increase in elution strength. In the final part, a concept of coupling chromatographic segments with different stationary phases has been extended to preparative applications using a theoretical study. The relative lengths and order of the segments were found to have a significant influence on the performance of separating an intermediately eluting component. Extending this concept to a mixed mode configuration resulted in an improved separation performance. The trends seen in the theoretical study were demonstrated experimentally using a test system. Adsorption isotherm data was measured and later used to quantify the sensitivity of optimal relative segment lengths on isotherm nonlinearities. Rather than the factors inducing non-linearities themselves, their differences were found to have a larger influence on optimal separation.
Use of Origami in Mathematics Teaching: An Exemplary Activity

Students’ attitudes and motivations toward mathematics decrease as they intensively confront cognitive information along the process of mathematics teaching in general. One of the most important reasons for this is the lack of activities for affective and psychomotor domains in the mathematics teaching process. One way to overcome this problem is to include activities through which students can participate effectively in the teaching process. For example, activities performed using origami can be one of them in teaching the attainments covered by the field of geometry learning in mathematics curriculum. Therefore, this study was carried out to present an exemplary activity about how origami can be used when teaching mathematics in secondary schools and to identify preservice teacher opinions on this activity. The activity presented in this study was performed with 32 preservice elementary mathematics teachers attending the faculty of education at a university and taking the Mathematics Teaching with Origami course, and their opinions were taken afterwards. At the end of the application, the preservice teachers stated that such activities would have very positive contributions to students’ mathematics learning. In addition, the preservice teachers communicated and exchanged ideas with each other during the application. It is therefore recommended to use such activities in mathematics teaching.
Perovskite phase stabilization in epitaxial Pb(Mg1/3Nb2/3)O3–PbTiO3Pb(Mg1/3Nb2/3)O3–PbTiO3 films by deposition onto vicinal (001) SrTiO3SrTiO3 substrates

We report the perovskite phase stabilization of 0.67Pb(Mg1/3Nb2/3)O3–0.33PbTiO3 (PMN-PT) epitaxial thin films by deposition onto miscut substrates. Films were grown on (001) SrTiO3 substrates with miscut angles from 0 to 8 degrees toward the [100] direction using 90° off-axis magnetron sputtering. Films on high miscut substrates (>4°) showed almost the pure perovskite phase in both x-ray diffraction and transmission electron microscopy image, and were nearly stoichiometric. In contrast, films on exact (001) SrTiO3 contained a high volume fraction of pyrochlore phases with Pb deficiency. Atomic force microscopy reveals that films on 8° miscut substrates have a much smoother surface morphology than those on exact (001) SrTiO3. Cross-sectional transmission electron microscopy images reveal that the pyrochlore phases nucleate on top of the perovskite phase, and that the amount of the pyrochlore phases increase with film thickness. A film on an 8° miscut substrate exhibits a polarization hysteresis loop with a.
Exploring spatio-temporal neural dynamics of the human visual cortex

The human visual cortex is organized in a hierarchical manner. Although a significant body of evidence has been accumulated in support of this hypothesis, specific details regarding the spatial and temporal information flow remain open. Here we present detailed spatio-temporal correlation profiles of neural activity with low-level and high-level features derived from a “deep” (8-layer) neural network pre-trained for object recognition. These correlation profiles indicate an early-to-late shift from lowlevel features to high-level features and from low-level regions to higher-level regions along the visual hierarchy, consistent with feedforward information flow. To refine our understanding of information flow, we computed three sets of features from the lowand high-level features provided by the neural network: object-category-relevant low-level features (the common components between low-level and high-level features), low-level features roughly orthogonal to high-level features (the residual Layer 1 features), and unique high-level features that were roughly orthogonal to low-level features (the residual Layer 7 features). Contrasting the correlation effects of the common components and the residual Layer 1 features, we observed that the early visual cortex exhibits a similar amount of correlation with the two feature sets early in time (60 to 120 ms), but in a later time window, the early visual cortex exhibits a higher and longer correlation effect with the common components/low-level task-relevant features as compared to the low-level residual features—an effect unlikely to arise from purely feedforward information flow. Overall, our results indicate that non-feedforward processes, for example, top-down influences from mental representations of categories, may facilitate differentiation between these two types of low-level features within the early visual cortex.
Nutrient use efficiency and nutrient uptake promoting of rice by potassium solubilizing bacteria (KSB)

The current study was carried out in both pot and field conditions to investigate the effects of three KSB strains of Pantoea agglomerans, Rahnella aquatilis and Pseudomonas orientalis on nitrogen (N), phosphorous (P) and potassium (K) uptake, nutrient use efficiency parameters and nutrients remobilization in rice (Oryza sativa L. cv. Pajohesh). The experiments included 15 treatments of KSB inoculations, commercial K biofertilizer and K chemical fertilizer. The results showed that the inoculums of all three KSB strains increased the K, N and P uptake by grain and straw, especially when applied in combination with 1/2 K chemical fertilizer (47.5 Kg/ha) as compared to the control treatment. The highest value of available K in the soil obtained from NPK chemical fertilizer equal to 140.1 and 134.6 mg K per kg of soil in the pot and field experiments, respectively, which were significantly higher than KSB inoculations treatments. Bacterial inoculums coupled with 1/2 K chemical fertilizer also enhanced the nutrient use efficiency (including agronomic efficiency (AE), apparent recovery efficiency (ARE), physiological efficiency (PE), agro-physiological efficiency (APE), internal utilization efficiency (UE), partial factor productivity (PFP), partial nutrient balance (PNB)) and nutrient remobilization. The results indicated that the bioinoculation with these KSB strains isolated from soil paddy could be considered as an effective way to increase potassium, nitrogen and phosphorus uptake by rice plant and enhance their use efficiency and remobilization to grains in the flooding irrigation conditions.
The Effect of Pedagogical Hypermedia on Acquisition of Scientific Concepts among Primary School Students

This study examined the effect of a Pedagogical Hypermedia Environment in the Science Discipline (PHFSD) on the acquisition of scientific concepts among fifth-graders during the 2019 – 2020 school years. The study adopted a quasi-experimental method with 50 fifth-grade students from a private school in Amman, Jordan, divided into two groups of 25 each. Students were randomly assigned to either a control group that was taught using traditional methods or an experimental group that was taught using PHFSD. A scientific concept test was conducted before and after the Motion and Force unit was taught. The data gathered was analyzed using ANCOVA. The results revealed a statistically significant difference at the α =0.05 level between the mean scores of the two groups on the scientific concepts test. Most of the variation (70%) in the fifth-grade students ’ posttest scores was attributed to the effects of the teaching method. Such positive results affirm that this pedagogical hypermedia environment had a positive impact on the fifth-graders. These findings support the use of a pedagogical hypermedia environment to enhance the acquisition of scientific concepts among fifth-graders in Jordan. The ministry of education and teachers can use these findings to enhance teaching and learning scientific concepts. Contribution/Originality: This study is one of very few studies that have investigated the effect of a pedagogical hypermedia environment on acquisition of scientific concept among fifth-graders in science discipline. This study fills the gap in the literature and provides evidence for the effectiveness of pedagogical hypermedia in the acquisition of scientific concepts.
Costly Subjective Learning

Information acquisition is an important aspect of decision making. Acquiring information is costly, but the cost of information acquisition is not typically observable and hence it is not obvious how it can be measured. Using preference over menus, de Oliveira, Denti, Mihm, and Ozbek [15] provide an axiomatic foundation for the additive costs model of information acquisition. If obtaining signals from experiments is time-consuming, such as in the case of a long-run investment decision, however, costs may be measured as a discount factor or waiting time for acquiring information. We propose a general class of representations which allows for non-additive costs for information acquisition and provide its axiomatic foundation. Furthermore, the discounting costs model is characterized as a special case.
Study on public acceptance of nuclear power plants: Evidence from China

Abstract This empirical study evaluated the public acceptance of nuclear-power plants in China. A conceptual framework was proposed to explain the factors affecting nuclear-power acceptance based on antecedent variables, including social-media-use frequency, social-media information trust, nuclear-power knowledge, nuclear-accident knowledge, and risk-and-benefit perception. An empirical study was operated based on the Haiyang nuclear-power plant by conducting a face-to-face survey among residents who use social-media platforms near the plant. The frequency of social-media-use and the trust on social-media information promote individuals’ knowledge about nuclear power and nuclear accidents, leading to risk and benefit perception. Finally, benefit perception results in nuclear-power acceptance among the individuals. Implications and suggestions for future research are discussed.
Low-loss K-band Photoconductive Switches in SIW Technology

A design approach for mmWave switches in substrate integrated waveguide (SIW) technology is demonstrated. The switch is based on a photoconductive element (PE) which represents a piece of an intrinsic silicon wafer with light modulated conductivity. Using both dielectric (high-resistivity) and conductive states of the PE, we can design a low-loss mmWave switching element. Owing to the light actuation, the control circuitry of the photoconductive switch (PS) is electrically separated from the high-frequency elements of the device. This solves the bottleneck of conventional mmWave switches based on PIN diodes, MOSFETs, MEMS, etc., which are bulky and lossy due to decoupling filters and matching elements of control and biasing circuits. The proposed approach is generic and can be applied to many mmWave applications within 10 — 100 GHz such as 5G, WiGig, automotive radars, and others.
Seasonal Variation in Endoparasite Loads in Four Fish Species from Lower River Benue, Makurdi Nigeria

Fish production and productivity is affected by several factors including parasites. They are host to diverse parasites and their infections significantly affect fish behaviour, metabolism, body condition, fecundity or survival (Lafferty 2008). In a fish community, different fish species can exhibit broad variation in sensitivity to parasite infection. Three major factors play essential roles in host vulnerability and infection levels among fishers; host-parasite co-evolution, exposure to parasites and host suitability (Holmes, 1990). Others are temperature, increase in organic matter, pH and oxygen.