Miracle-dz/UniFAR-FTUs huggingface dataset:
Personalized Recommendation Of Educational Resources In A MOOC Using A Combination Of Collaborative Filtering And Semantic Content Analysis

: In this article, we present a recommending system of educational resources based on the footprint of learners on a distance-learning platform. Today, all learners follow the same learning path and therefore have access to the same training content, although their information needs are different. The proposed approach offers learners the opportunity to adapt their training path through a mechanism of recommended activities that are most relevant to them. This approach consists in automatically analyzing the interaction footprints of learners. Based on these footprints, our system automatically offers personalized recommendations (courses, course sections, activities, documents, etc.) to learners. The originality of this approach lies in the fact that the learner remains in control of his training itinerary, by increasing the information available to help him or her to build his or her training path. In this article, we present the results of the implementation of our system developed as part of an experiment with 100 students registered on our distance learning platform; as well as the research perspectives.
Feature Selection Model based on EEG Signals for Assessing the Cognitive Workload in Drivers

In recent years, research has focused on generating mechanisms to assess the levels of subjects’ cognitive workload when performing various activities that demand high concentration levels, such as driving a vehicle. These mechanisms have implemented several tools for analyzing the cognitive workload, and electroencephalographic (EEG) signals have been most frequently used due to their high precision. However, one of the main challenges in implementing the EEG signals is finding appropriate information for identifying cognitive states. Here, we present a new feature selection model for pattern recognition using information from EEG signals based on machine learning techniques called GALoRIS. GALoRIS combines Genetic Algorithms and Logistic Regression to create a new fitness function that identifies and selects the critical EEG features that contribute to recognizing high and low cognitive workloads and structures a new dataset capable of optimizing the model’s predictive process. We found that GALoRIS identifies data related to high and low cognitive workloads of subjects while driving a vehicle using information extracted from multiple EEG signals, reducing the original dataset by more than 50% and maximizing the model’s predictive capacity, achieving a precision rate greater than 90%.
The herbaceous tier analysis in protective forest plantations, Ukraine

The article analyses the five elements of vegetation: floristic and taxonomic composition, lifespan, life form, and species distribution in the Middle Pridneprovye Right Bank, Ukraine. Consequences of the anthropogenic impact on the grass cover of the forest shelterbelts in farmlands, located near the city Cherkasy, have been determined. Changes in the ecotope cause transformations of the grass tier due to alteration of the systematic structure, invasion of meadow species, heliophytization, mesophytization, synanthropization, expansion of alien plants and explerents, and inhibit natural regeneration and development of trees. Thirteen alien plants with high invasive ability have been defined.
Targeted Modification of the Foot-And-Mouth Disease Virus Genome for Quick Cell Culture Adaptation

Foot-and-mouth disease virus (FMDV) causes the highly contagious foot-and-mouth disease, which is characterized by the appearance of vesicles in and around the mouth and feet of cloven-hoofed animals. BHK-21 cells are the cell line of choice for the propagation of FMDV for vaccine production worldwide but vary in their susceptibility for different FMDV strains. Previous studies showed that the FMDV resistance of a certain BHK cell line can be overcome by using a closely related but permissive cell line for the pre-adaptation of the virus, but the adapted strains were found to harbor several capsid mutations. In this study, these adaptive mutations were introduced into the original Asia-1 Shamir isolate individually or in combination to create a panel of 17 Asia-1 mutants by reverse genetics and examine the effects of the mutations on receptor usage, viral growth, immunogenicity and stability. A single amino acid exchange from glutamic acid to lysine at position 202 in VP1 turned out to be of major importance for productive infection of the suspension cell line BHK-2P. In consequence, two traditionally passage-derived strains and two recombinant viruses with a minimum set of mutations were tested in vivo. While the passaged-derived viruses showed a reduced particle stability, the genetically modified viruses were more stable but did not confer a protective immune response against the original virus isolate.
Comparative Studies of Vertebrate Mitochondrial Carbonic Anhydrase (CA5) Genes and Proteins: Evidence for Gene Duplication in Mammals with CA5A Being Liver Specific and CA5B Broadly Expressed and Located on the X-Chromosome

At least fifteen families of mammalian carbonic anhydrases (CA) (E.C. 4.2.1.2) catalyse the hydration of carbon dioxide and related functions. CA5A and CA5B genes encode distinct mitochondrial enzymes and perform essential biochemical roles, including ammonia detoxification and glucose metabolism. Bioinformatic methods were used to predict the amino acid sequences, secondary structures and gene locations for CA5A and CA5B genes and proteins using data from vertebrate genome projects. CA5A and CA5B genes usually contained 7 coding exons for each of the vertebrate genomes examined. Human CA5A and CA5B subunits contained 305 and 317 amino acids, respectively, with key amino acid residues including mitochondrial transit peptides; three Zinc binding sites (His130, His132, His155); and a Tyr164 active site. Phylogenetic analyses of vertebrate CA5 gene families suggested that it is an ancient gene in vertebrate evolution which had undergone a gene duplication event in a mammalian ancestral genome forming the CA5A and CA5B gene families in monotreme, marsupial and eutherian mammals. CA5A was predominantly expressed in liver whereas CA5B had a wide tissue distribution profile, was localized on the X-chromosome and was more highly conserved during mammalian evolution.
Auditor-Provided Non-Audit Services: Post EU-Regulation Evidence from Denmark

This survey study focuses on the relationship between the simultaneous provision of audit and non-audit services and auditor independence-in-appearance as perceived by Danish stakeholders. Thereby, the perceived usefulness of the new EU public-interest entity Regulation and Audit Directive is evaluated. Our findings indicate that the joint provision of non-audit and audit services is negatively associated with perceived auditor independence. However, this differs according to the type of stakeholder group. Many individual services, even those not on the EU blacklist, are regarded as problematic. Nevertheless, the relation to independence-in-appearance differs by type of service. The EU cap on non-audit services fees seems to be too high. The separation between audit firms’ staff that provides auditing services and staff that provides non-audit services, and an approval of non-audit services by the audit committee, are not regarded as helpful in enhancing auditor independence. Finally, respondents see a need to expand the strict EU regulations for audits of public-interest entities to audits of large non-public-interest entities.
A The Struggle for data – A ghost goes through the world – a data ghost

s for session 1.1 page 1 session 1.2 page 8 session 1.3 page 14 session 2.1 page 21 session 2.2 page 27 session 2.3 page 32 session 3.1 page 38 session 3.2 page 44 session 3.3 page 51
Sugar Reduction in Dairy Food: An Overview with Flavoured Milk as an Example

Owing to the public health concern associated with the consumption of added sugar, the World Health Organization recommends cutting down sugar in processed foods. Furthermore, due to the growing concern of increased calorie intake from added sugar in sweetened dairy foods, the present review provides an overview of different types and functions of sugar, various sugar reduction strategies, and current trends in the use of sweeteners for sugar reduction in dairy food, taking flavoured milk as a central theme where possible to explore the aforementioned aspects. The strength and uniqueness of this review are that it brings together all the information on the available types of sugar and sugar reduction strategies and explores the current trends that could be applied for reducing sugar in dairy foods without much impact on consumer acceptance. Among different strategies for sugar reduction, the use of natural non-nutritive sweeteners (NNSs), has received much attention due to consumer demand for natural ingredients. Sweetness imparted by sugar can be replaced by natural NNSs, however, sugar provides more than just sweetness to flavoured milk. Sugar reduction involves multiple technical challenges to maintain the sensory properties of the product, as well as to maintain consumer acceptance. Because no single sugar has a sensory profile that matches sucrose, the use of two or more natural NNSs could be an option for food industries to reduce sugar using a holistic approach rather than a single sugar reduction strategy. Therefore, achieving even a small sugar reduction can significantly improve the diet and health of an individual.
Analysis of Adulterated Pangasius Hypopthalmus Oil by ATR-FTIR Spectroscopy and Chemometric

In this recent study, ATR-FTIR spectroscopy and chemometrics have been successfully used for theclassification and quantitative analysis of adulterated Pangasius Hypopthalmus (P. hypopthalmus) oil. The aimof this research was to evaluate the ability of ATR-FTIR spectroscopy and chemometric to perform theclassification and quantitative analysis of adulterated P. hypopthalmus oil in a binary mixture with palm oil(PO) and coconut oil (CO). In the development of FTIR spectroscopy combined with chemometrics for theclassification and quantitative analysis of P. hypopthalmus oil, P. hypopthalmus oil (MP and LFP) mixed withother oils such as coconut oil (CO) and palm oil (PO) at concentrations of 1-99% v/v. Classification of P.hypopthalmus oil, PO and CO were performed by the principal component analysis (PCA) and thequantification analysis was carried out by partial least square (PLS). Based on the optimization process, thebest classification results were obtained using the first derivative spectra at wave numbers of 1400-1100 cm-1.The prediction of percentage adulterated oil by PLS method also showed very good values of R2 greater than0.9999 and low standard error values in the range of 0.0176-0.703. The prediction was also perform at1400-1100 cm-1 wavenumbers using the first derivative spectra.
Biodegradation of chlorpyrifos by scaling up method in controlled environmental conditions and plant growth enhancement

Biodegradation study of chlorpyrifos was done by the bacterial strains of species Pseudomonas aeruginosa. Scaling up the concentration of chlorpyrifos from 15mg/l up to 100mg/l was done, and GC-MS recorded an amount of chlorpyrifos degradation at a constant interval of 15days. The results show that in this scaling up processes 15-50mg/l concentration of chlorpyrifos was readily degraded by Pseudomonas spp. But as we started increasing the level from 75-100mg/l, the biodegradation rate starts decreasing up to 25% at 100 mg/l concentration. Intermediate such as 3, 5, 6 trichloro-2-pyridine,2,4-bis (1, 1 dimethyl ethyl) phenol and 1, 2 Benzenedicarboxylic acid persisted during bioremediation, but after day 18-20 these subsequently get convert to CO2, biomass and nutrients. This strain also shows some significant plant growth promoting activities such as IAA production, p-solubilization, ammonia production both in presence and absence of chlorpyrifos. Confirmed when inoculated with chlorpyrifos degrading strain Pseudomonas aeruginosa, results showed enhanced plant growth in terms of plant height parameters. Thus it is concluded that Pseudomonas aeruginosa easily degrades chlorpyrifos at 50-75mg/l chlorpyrifos concentration, but its potential gets inhibited at a higher level of chlorpyrifos. This study also clearly indicated the role of Pseudomonas aeruginosa (AP2016) in practical bioremediation of chlorpyrifos and simultaneously increasing the production of pesticide-contaminated agricultural fields.
Designing and Developing Car Racing Game

Playing games is an important part of our social and emotional development. The project was started to identify the elements of the game as the type of game is most suitable for our learning environment and students find it interesting or useful in different games. Students rated game elements such as logic, memory, visualization and problem solving as the most important game elements. These elements are integral with adventure games and are needed during the learning process. We present a model that links educational issues with game elements. There are several elements to the game space; each encapsulates a specific abstract or concrete interface. Understanding the relationship between educational needs and game elements allows us to develop educational games that incorporate visualization and problem solving skills. Such tools can provide sufficient impetus to engage students in knowledge discovery, while at the same time developing new skills.
Molecular biomarkers and toxic consequences of impact by organic pollution in aquatic organisms

Organic contaminants are readily bioaccumulated by aquatic organisms. Exposure to and toxic effects of contaminants can be measured in terms of the biochemical responses of the organisms (i.e. molecular biomarkers). The hepatic biotransformation enzyme cytochrome P4501A (CYP1A) in vertebrates is specifically induced by organic contaminants such as aromatic hydrocarbons, PCBs and dioxins, and is involved in chemical carcinogenesis via catalysis of the covalent binding of organic contaminants to DNA (DNA-adducts). Hepatic CYP1A induction has been used extensively and successfully as a biomarker of organic contaminant exposure in fish. Fewer but equally encouraging studies in fish have used hepatic bulky, hydrophobic DNA-adducts as biomarkers of organic contaminant damage. Much less is known of the situation in marine invertebrates, but a CYPlA-like enzyme with limited inducibility and some potential for biomarker application is indicated. Stimulation of reactive oxygen species (ROS) production is another potential mechanism of organic contaminant-mediated DNA and other damage in aquatic organisms. A combination of antioxidant (enzymes, scavengers) and pro-oxidant (oxidised DNA bases, lipid peroxidation) measurements may have potential as a biomarker of organic contaminant exposure (particularly those chemicals which do not induce CYP1A) and/or oxidative stress, but more studies are required. Both CYP1A- and ROS-mediated toxicity are indicated to result in higher order deleterious effects, including cancer and other aspects of animal fitness.
Camera Pose Estimation from Lines using Direct Linear Transformation

The thesis is concerned with camera pose estimation from correspondences of 3D/2D lines, i. e. with the Perspective-n-Line (PnL) problem. Attention is focused on large line sets which can be e ciently solved by methods using linear formulation of PnL. Up to date, methods working only with point-line correspondences were known. Motivated by this, two novel methods based on the Direct Linear Transformation (DLT) algorithm are proposed: DLT-Plücker-Lines working with line-line correspondences and DLT-Combined-Lines working with both point-line and line-line correspondences. In the latter case, the redundant information reduces the minimum of required line correspondences to 5 and improves accuracy of the method. The methods were extensively evaluated and compared to several state-of-the-art PnL methods in various conditions including simulated and real-world data. DLT-Combined-Lines achieves results similar to or better than stateof-the-art, while it is still highly e cient. In addition, the thesis introduces a unifying framework for DLT-based pose estimation methods, within which the proposed methods are presented.
Customer Review Analysis Using Word Embedding Model Considering Text Topics

Customers often give feedback on their evaluations and experiences with the products and service in the form of customer reviews, and developing the technology of customer review analysis plays an important role in the modern marketing research. Existing studies on marketing have used topic models to capture the review generating behaviors, but this approach ignores the word ordering, that is, it assumes a bag-of-words, and thus cannot adequately consider the context of text even with topic models. In this study, we propose a model combining supervised topic model and word embedding model for estimating the relationship between the product attributes mentioned in the customer review and their satisfactions while capturing the context of review text customers generate. In the empirical analysis, we apply the proposed model to a real customer review data on mascara-related products on a cosmetics e-commerce site, and the results show that our model captures some interpretable topics related to mascara products and estimates their eﬀects on satisfaction scores, for example, the “eyelash” topic mentioned in the review tends to result in high levels of satisfaction, while the “brush” topic is associated with low levels of satisfaction.
Photorefractive Effect in NLC Cells Caused by Anomalous Electrical Properties of ITO Electrodes

In a pure nematic liquid crystal (NLC) cell, optically induced charge carriers followed by transports in double border interfaces of orientant/LC and indium-tin-oxide (ITO)/orientant (or LC) can cause removal of screening of the static electric field inside the LC film. This is called surface photorefractive effect (SPR), which induces director field reorientation at a low DC electric field beyond the threshold at a reduced Fréedericksz transition and, as a result, a modulation of the LC effective refractive index. The studies conducted on the photoinduced opto-electrical responses in pure nematic LC cells biased with uniform static DC electric fields support the SPR effect (attributed to the photoelectric activation of the double interfaces). The SPR effect was further studied in LC cells with photoresponsive substrates, which act as a source of a bell-shaped electric field distribution in the LC film if no ITO electrode was employed. In an equipped cell with ITO, the photovoltaic electric field induces charge carrier redistribution in the ITO film, hence the SPR effect. This paper is aimed at highlighting all the evidences supporting ITO film as one of the fundamental sources of the SPR effect in pure NLC cells under the condition of applying low optical power and low DC voltage. An optically induced fringe electric field stemming from inhomogeneous photo-charge profiles near the electrode surfaces is expected in the LC film due to the semiconducting behavior of the ITO layer.
Supplementary information: Quantifying and predicting success in show business

Gender bias is confirmed by observing quantifiable differences across the different measures observed in this work. Whereas for some of these measures differences are obvious (e.g. for the case of waiting time statistics or the location of the annus mirabilis, see Figs 4 and 5 in the main part of the manuscript), for other measures, such as career lengths (Fig 1) these differences are more subtle, at least to the naked eye. To further confirm that the observed differences in career length distribution P (L) are indeed statistically significant, we have performed the following statistical experiment: (i) first, we fit P (L) for male and female to respective exponential distributions for L ∈ [2, 100] (discarding L = 1 in the fit, which is a clear outlier), obtaining two exponential functions gm(x) = cm exp(αmx) and gf (x) = cf exp(αfx) for actors and actresses respectively. (ii) Then, treating the estimated P (L) as if it was an empirical dataset, we merge together the datasets for men and women (N = 198 points), and then fit this merged dataset to a new exponential function gh(x) = ch exp(αhx). The rationale is that if the observed differences between actors and actresses were spurious, then the fit for the merged dataset would be a superior model to the separate fits for actors and actresses, from a model selection scheme. To assess this, we then compare two statistical models which aim to fit the merged dataset: the first model (M1) is simply gh(x) and fits the merged dataset, whereas the second model (M2) is
'Static' Vegetation and Dynamic Global Climate: Preliminary Analysis of the Issues Time Steps and Time Scales

The implementation of a fully interactive global vegetation model coupled into a Global Climate Model (GCM) first requires evaluation of the question of the 'correct' time step and time scale to employ. The problem of selecting the 'correct' frequency of communication between two such models may be a function of the models themselves: one vegetation model being more sensitive to the variability of climate than another. In turn, one GCM might exhibit a greater 'natural' variability than another GCM or be more responsive to altered vegetation characteristics. We have undertaken a set of sensitivity tests with different vegetation schemes and different climate models. Two questions have been addressed: is it necessary to employ daily instead of monthly climate data, and how many years of climate simulation should be included into the ensemble aggregate of climate. In this paper, two 'static' global vegetation models are assessed using simulated control climates from several GCMs, for ensemble averages of climate over 1 year, 5 years, 7 years, 10 years, 13 years, 15 years, 20 years and 45 years. Different sensitivities are found among the vegetation models and climate models investigated. The sensitivities of the individual biomes to the input climate vary greatly as a function of the GCM and/or the vegetation model employed. This suggests that there is a need for additional sensitivity analysis in order to evaluate how often the vegetation model has to return characteristics to the climate model. The prediction of vegetation using several datasets of simulated control climates seems to be a prerequisite for coupling of biosphere models into global climate models.