Miracle-dz/UniFAR-FTUs huggingface dataset:
The Importance of Terminology Related to Child Sexual Exploitation 1

1 According to EU Policy Cycle 2014-2017 (EU Crime Priority G2) related to combating organised and serious crime, Step 3 – EMPACT (the European Multidisciplinary Platform against Criminal Threats) was established to combat priority threats, therefore various operational action plans (OAP) were set out. One of the OAPs in 2014, related to cybercrime and child sexual exploitation, is to promote the use of proper terminology in this field through the media. The participants are Slovenia, the United Kingdom, Finland, Poland, Norway, Europol and Interpol. The present contribution is a result of this OAP. 2 Danijela Frangež, Ph.D., Assistant Professor of Criminology, Head of the Chair of Criminal Investigation at the Faculty of Criminal Justice and Security, University of Maribor, Slovenia. Member of the EUROPOL Platform for Experts on “child sexual exploitation”. E-mail: danijela.frangez@fvv.uni-mb.si 3 Anton Toni Klančnik, M.A., Head of Juvenile Crime Section, Police, Criminal Police Directorate, General Police Directorate, Slovenia. E-mail: toni.klancnik@policija.si 4 Mojca Žagar Karer, Ph.D., Research Fellow and Head of the Terminological Section at Fran Ramovš Institute of the Slovenian Language, Research Centre of the Slovenian Academy of Sciences and Arts, Slovenia. E-mail: mojca.zagar@zrc-sazu.si nature of this crime, some people feel very uncomfortable addressing the reality of the increasing threat of child sexual exploitation. Furthermore, sexual exploitation of children is currently greater due to the various modus operandi utilising information communication technologies (ICT) and the Internet. 5 6 7 8 9
What Does the Brain Tell Us About the Timing of Security Messages ? Insights from an fMRI and Web-based Experiment

We explore how adherence to security messages is affected by dual-task interference (DTI), a cognitive limitation in which even simple tasks cannot be simultaneously performed without significant performance loss. Using functional magnetic resonance imaging (fMRI), we show that displaying a security message at a high-DTI time substantially reduces neural activation in the medial temporal lobe (MTL)—a brain region associated with memory—and significantly reduces adherence. In contrast, displaying the security message at a low-DTI time yields substantially higher adherence. We applied these findings to the context of a web browser, specifically the Chrome Cleanup Tool (CCT) message in Google Chrome for Windows. We identified lowand high-DTI times common to browsing and found that displaying the CCT message at low-DTI times resulted in 36% higher adherence on average compared to high-DTI times. Our findings indicate that, where possible, displaying security messages at low-DTI times can result in substantially higher adherence.
Anomaly Detection With Multiple-Hypotheses Predictions-Supplementary Materials -

Proceedings of the 36 th International Conference on Machine Learning, Long Beach, California, PMLR 97, 2019. Copyright 2019 by the author(s). Figure 1. Flipped half-moon dataset: conditional prediction of y based on x. Red points are samples from true distribution while blue points represent samples from distributions approximations. Learning with multiple-hypotheses predictions (MHP) loss or MHP + Winner-takes-all (WTA) loss lead to support of artificial data regions. Mixture density networks and our approach ConAD reduces this effect.
Chestnut Rose ( Rosa roxburghii Tratt ) : a Promising Genetic Resource for Fruit and Ornament Exploitation in China

Chestnut rose (Rosa roxburghii Tratt) brightens the spring garden with its attractive flowers. Moreover, it shows promising prospects in fruit exploitation due to its high content of vitamin C (2054-3541 mg/100g FW), very high superoxide dismutase activity, attractively senescence-retarding and cancer-preventing effects. Considerable efforts have focused on its research during the past two decades. To satisfy the increasing demand of exploitation of this plant, this overview serves chiefly to demonstrate: 1) the nutritional and medicinal values of chestnut rose fruit, as well as its ornamental features; 2) propagation method; 3) the genetic diversity of germplasms and its evaluation using morphological traits and molecular markers; 4) inheritance tendency of some agronomical traits; 5) immature embryo in vitro culture technique, high efficient micropropagation and assessment of the genetic stability of cultures; 6) accumulating process and characteristics of vitamin C during fruit development, and molecular cloning and characterization of L-galactono-1,4-lactone dehydrogenase (GalLDH), a key enzyme catalyzing the terminal step of vitamin C biosynthesis; and 7) screening of molecular markers linked to resistance to rose powdery mildew, and cloning and analysis of resistance gene analogs in chestnut rose. _____________________________________________________________________________________________________________
Test cases generation based on formal specification

Validating testing based on formal specification is an effective way in evaluating secure systems.How to generate test cases on formal specification is a key problem.By analyzing the disadvantages of the existing approaches,a novel approach to test cases generation based on Z specification was proposed.The control-flow coverage criteria was adopted to solve the problem that the input space was partitioned incompletely.It can reduce the difficulties in designing formal specification and generate test cases automatically.
Supplementary Materials: Adaptive Neural Trees

Initialise topology T and parameters O . T is set to a root node with one solver and one transformer Optimise parameters in O via gradient descent on NLL . Learning root classifier Set the root node “suboptimal” while true do . Growth of T begins Freeze all parameters O Pick next “suboptimal” leaf node l ∈ Nleaf in the breadth-first order Add (1) router to l and train new parameters . Split data Add (2) transformer to l and train new parameters . Deepen transform Add (1) or (2) to T if validation error decreases, otherwise set l to “optimal” Add any new modules to O if no “suboptimal” leaves remain then Break Unfreeze and train all parameters in O . Global refinement with fixed T
Modular Design for Constrained Control of Actuator-Plant Cascades

We consider layered control architectures where a constraint-enforcing upper layer is cascaded with a lower layer controlled actuator. As we aim for a design where each layer requires as little knowledge as possible of the other, the upper layer is based on a model that neglects the lower layer dynamics, and includes instead additive uncertainty. The uncertainty set is constructed and “declared” by the lower layer based only on constraints on the command “declared” by the upper layer. This results in a contract between upper layer and lower layer guaranteeing a bound on the prediction error if the command satisfies the declared constraints. The command and plant constraints are robustly enforced by model predictive control with a robust control invariant set. The stability properties are analyzed, and a case study of vehicle steering control is shown.
ANTIOXIDANT ACTIVITY OF THE POLYPHENOL MANGIFERIN

The antioxidant properties of alcohol solutions of mangiferin were studied. The antioxidant activity in linoleic acid/water emulsion system, determined by the thiobarbituric acid reactive substances (TBARS), was higher at 37 С – 72.0 %, and by inhibiting conjugated dienes formation – 70.4 %. At 80 С the antioxidant activity at the highest concentration was less efficient: 67.2 % for conjugated dienes and 69.1 % for TBARS. Mangiferin inhibited the hydroxyl radicals by 84.3 % at 37 0 С and 79.8 % at 80 С, as it showed a higher antioxidant activity than quercetine. The IC50 concentration for the inhibition of OH⋅ at 37 С was lower than that at 80 С – 0.88 μg/ml and 1.81 μg/ml, respectively. Mangiferin chelated Fe in the solution. The inhibiting effect of mangiferin with regard to the xanthine oxidase activity was weaker – 71.4 %, as IC50 concentration for the reduction of nitroblue tetrazolium was 14.17 μg/ml.
Axiomatic Assessment of Logic Coverage Software Testing Criteria

Since formal specifications precisely describe the software requirements in a form that can be automatically manipulated, they can be used as the base for automatic test generation and software verification. Logic coverage criteria are the common criteria used in specification-based testing. The main problem of applying these criteria that test engineers face is how to appropriately select each criterion. Thus, the comparison and analysis of these criteria will give a guide to applying each criterion. Axiomatic assessment of test adequacy criteria is an approach to comparing test criteria. This approach defines the intuitive requirements of ideal test adequacy criteria as some axioms, then compares the test adequacy criteria by checking if they satisfy these axioms. This paper proposes some positive properties as the intuitive requirements of ideal logic coverage criteria, and gives a generating algorithm that is used to determine whether a logic coverage criterion is complete. These properties are formally defined as an axioms system. With these formal definitions, the relations among the logic coverage criteria are described as some theorems. Finally, the common logic coverage criteria are assessed against the axioms system. From the assessing result, testers can get some conclusions that help them apply these criteria in practice.
Phytochemical Screening and Metallic Ion Content and Its Impact on the Antipsoriasis Activity of Aqueous Leaf Extracts of Calendula officinalis and Phlebodium decumanum in an Animal Experiment Model

Objectives: The aim of this study was to evaluate the influence of metal ions present in soil as well as in leaf samples of Calendula officinalis and Phlebodium decumanum for the treatment of psoriasis. Materials and Methods: To meet the objective, soil and leaf samples were estimated for metal ions by atomic absorption spectrophotometer to determine the influence in antipsoriatic activity. Thereafter imiquimod-induced dermatitis lesions were created in grouped mice. Two plant extracts (aqueous) separately as well as in combinations and standard Retino-A (0.05%) were used. Psoriasis severity index (PSI) was evaluated according to the phenotypic (redness, erythema, and scales) and histological features (epidermal thickness). Further content of phytochemicals in terms of extract was correlated with the effect of psoriasis activity. Results: We observed redness, erythema, and scales and the histological features and found a progressive reduction (P<0.05) in the severity of psoriatic lesions (redness, erythema, and scales) from days 7 to 21 and decreased epidermal thickness in animals treated with combined extracts at a dose of 200 mg/kg b.w. Furthermore, plant samples procured from the Nandi Hills, Bangalore, showed better uptake of metals with respect to Fe (2.05 mg/kg), Cu (0.78 mg/kg), and Zn (1.12 mg/kg), which showed a positive impact on procurement of maximum amount of extracts that further correlated with the activity, indicating a significant reduction in psoriatic lesions. Conclusion: The results revealed that the significant dose-dependent antipsoriasis activity of combined aqueous extracts of C. officinalis and P. decumanum as well as metal ions had an impact on the procurement of extracts and said activity.
A Cross-Cultural Evaluation of a Computer Science Teaching Game

The use of games for education has attracted a lot of attention in developed nations worldwide, and is gradually penetrating the developing world. Despite that there are educational and efficiency benefits from the cross-cultural implementation of educational games, most educational games are not designed for cross-cultural usage. This paper seeks to contribute to designing cross-culturally relevant educational games, and examine this in the particular context of computer science (CS) education through a CS teaching game for middle school students. We implemented this game in the USA and Nigeria in order to find what cross-cultural differences may need attention for future work. Results highlight that both populations find the game enjoyable yet challenging. However, a clear difference is noticeable in the learning outcomes, which may have been a result of the game’s design and the evaluation instruments. Therefore, a cross-cultural perspective is needed to both educational game design and its evaluation.
PDE Based Image Diffusion and AOS by Jarno Ralli April 27

This technical paper shows how AOS (Additive Operator Splitting) scheme, together with TDMA (Tri-Diagonal Matrix Algorithm), can be used for solving a non-linear, scalar valued diffusion equation. The paper shows how a continuous version of the diffusion equation is transferred into a ‘discrete’ version in order to be solved numerically. Much of the text is based on [3], and is presented here only for the sake of readability. Most part of the text deals with definitions, the idea here being that anyone familiar with diffusion should be able to understand the used notation and, thus, the formulations that follow. This text is supposed to be accompanied by a Matlab implementation of the code.
Duration-Driven Returns

We propose a duration-based explanation for the major equity risk factors, including value, profitability, investment, low-risk, and payout factors. Both in the US and globally, these factors invest in firms that earn most of their cash flows in the near future. The factors could therefore be driven by a premium on near-future cash flows. We test this hypothesis using a new dataset of single-stock dividend futures, which are claims on annual dividends for individual firms. Consistent with our hypothesis, expected CAPM alpha on individual dividends decrease in maturity within a firm, but do not vary across firms once controlling for maturity.
Modeling the Interpretation of Visualized Statistics as Bayesian Cognition

People naturally bring their prior beliefs to bear on how they interpret new information like data presented in a visualization. Models from cognitive science promise to help us understand these effects. However, researchers in the field of data visualization itself have yet to build their own formal models that can account for the influence of prior beliefs in people’s conclusions from data presentations. We propose and empirically validate a Bayesian cognitive model for understanding how people interpret visualizations in light of prior beliefs, and evaluating visualization designs using rational belief updating as a target. In a pilot study (n=50), we show how applying a Bayesian cognition model to a simple visualization scenario indicates that participants’ judgments are consistent with a hypothesis that they are doing approximate Bayesian inference. In a subsequent study (n=800), we evaluate how sensitive our observations of Bayesian behavior are to different techniques for eliciting participants’ subjective distributions, and to different datasets. We find that participants don’t behave consistently with Bayesian predictions for large sample size datasets, and this difference cannot be explained by elicitation technique. In a final study (n=800), we show how normative Bayesian inference can be used to evaluate visualizations, including of uncertainty.
Mining Frequent Patterns in an FP-tree Without Conditional FP-tree Generation

FP-growth algorithm is one of the most efficient frequent pattern mining methods published recently. However, FP-growth algorithm must generate a huge number of conditional FP-trees recursively in process of mining, so the efficiency of FP-growth remains unsatisfactory. In this paper, the structure of a traditional FP-tree is improved and an efficient frequent pattern-mining algorithm based on constrained sub-tree is proposed. The new FP-tree is a one-way tree and there is no pointers to point its children in each node, so at least one third of memory is saved compared with the former structure in the same storage of frequent pattern information. By introducing constrained sub-tree (consisting of three small arrays), the proposed algorithm doesn't generate conditional FP-trees in mining process and therefore greatly improves the mining efficiency in both time and space. Experiments show that in comparison with FP-growth, this algorithm has accelerated the mining speed by at least two times and reduced the space consumption by half. Moreover, the algorithm has a very good time and space scalability with the number of transactions, and has an excellent performance in dense database mining as well.
Adhesiveness of TiO2 PVD coating on electropolished stainless steel 17–4 PH orthodontic bracket

Performance of stainless steel 17-4 PH as the orthodontic bracket can be improved by titanium dioxide (TiO2) coating. In order to produce a good quality of the coating layer, the substrate had to be smooth and free from any contaminants. The electropolishing method was used to clean bracket’s surface from oxides substances which formed during sintering by reducing its surface roughness. Bath temperature and electropolishing time were varied to 30 °C and 70 °C, for 15 and 25 min, respectively. Those differences in electropolishing condition would affect the final surface’s roughness of the substrate. The atmosphere during PVD was controlled using oxygen and argon gases with the flowing rate ratio of 10:90 sccm and 50:50 sccm, and these gases would affect TiO2 coating mechanical properties. The lowest roughness of 0.99 μm and the highest roughness of 2.85 μm were obtained after electropolishing. The coating quality on the substrates with different roughness was assessed through coating adhesivity on the substrate by micro Vickers qualitatively. The results showed that the TiO2 coating layer on the substrate with a lower roughness had better adhesivity rather than on the substrate with higher roughness.
Isolation and molecular characterization of Enterobacter species ENKS2 and its phosphate solubilisation from rhizospheric soil

In this present study, the potential of a phosphate solubilising bacterium (PSB) was isolated from rhizosphere soil. The phosphate solubilisation was grown in Pikovskaya’s agar medium and the isolate was purified in AT salt minimal medium and further it was cultured in NBRIP liquid media for characterization, identification processes. Based on the morphological, biochemical characterization and 16S rRNA gene sequencing the phosphate solubilising bacterium was identified as Enterobacter species ENKS2. The maximum phosphate solubilisation was in 96h at pH 7.3 in NBRIP liquid media. The Enterobacter species ENKS2 optimized phosphate solubilisation was at pH 7 (281μg/cfuX10 6 ), temperature at 30°C (268μg/cfuX10 6 ) at pH 6.8, salt conditions was 0.5% (169μg/cfuX10 6 ) at pH 7.1, carbon source xylose (213μg/cfuX10 6 ) at pH 6.3 and nitrogen source Pottassium nitrate (212μg/cfuX10 6 ) at pH 6.1. The different time intervals were followed to maximum phosphate solubilisation in 96h (531μg/cfuX10 6 ) at pH 5.8. Hence, this study was useful to develop the biofertilizer for improves the soil, plant growth and reduce the chemical fertilizer usages.
Design of Model Reference Controller of Variable Speed Wind Generators for Frequency Regulation Contribution

This paper presents a novel control algorithm for variable speed wind generators (VSWG), designed to provide support to grid frequency regulation. The proposed control algorithm ensures that VSWG ‘’truly’’ emulates response of a conventional generating unit with non-reheat steam turbine (GUNRST) in the first several seconds after active power unbalance. A systematic method of analysis and synthesis of the new control algorithm is described in detail.
Traffic Redundancy Elimination and Bandwidth Optimization Over Cloud

Abstract—Cloud computing or on-demand computing offers various on demand services to the user. User can simultaneously access these services. That increases the bandwidth cost, thus TRE (Traffic Redundancy Elimination) techniques are used to reduce redundant data from the cloud and reduce cost of the bandwidth. Generally there are two type of techniques called sender based redundancy elimination and receiver based redundancy elimination are used to eliminate redundant data from the cloud. Thus mutual cooperation of the sender and receiver can be used to provide enhanced functionality to remove redundant data and optimize the cloud bandwidth. But security is also important in cloud. As a proof of concept, we implement a prototype of our proposed authorized duplicate check scheme and conduct testbed experiments using our prototype. A new technique which uses convergent encryption and mutual cooperation of the sender and receiver to provide a secure data redundancy elimination is proposed in this paper.
Effects of Fermentation, Germination, Roasting and Mono-Screw Extrusion Cooking on the Phytate and Iron Contents of Millet Souna Produced in Senegal (Pennisetum Glaucum)

Millet is one of the most widely consumed cereals in Senegal and in terms of the country’s grain production volume, it ranks second after rice. It is a high energy cereal but also contains a lot of nutrients such as minerals. However, millet contains anti nutritional factors such as phytates which form insoluble complexes with iron and zinc, thus reducing their bioavailability for the body. During millet processing, artisanal units, unknowingly, use methods that are known to reduce phytic acid levels. That is why, we have chosen three of these methods (germination, fermentation, roasting) and evaluated their effects on phytic acid content of millet. The results of these methods are compared to those of single-screw extrusion cooking. They show that the phytates content of raw millet is 7.56 mg / g. The different applied treatments all give reductions of the phytates contents. Thus, the highest reduction rates are obtained for 72 hours of germination with 62% of reduction of phytates, followed by extrusion cooking at 120° C which is 48.42%. Then, come respectively fermentation at 24 hours and roasting at 120° C which give respectively 44.05%, 34.89% of reduction. Whether wet or thermal methods, the degradation of phytates increases when the treatment time increases or when the temperature increases. For the iron, the contents pass from 7.56 mg / 100g in the untreated sample to 4.48 mg / 100g after roasting at 120° C. The fermentation at 24 hours and the extrusion cooking at 120° C respectively come with 7.55 and 6.80 mg / 100, while the germination causes a small increase in the iron content which goes from 7.56 to 8.13 mg / 100gs Received: June 03, 2019; Accepted: June 25, 2019; Published: July 11, 2019 *Corresponding author: Mamadou Salif Sow, Institut de Technologie Alimentaire (ITA), Hann-Dakar BP 2765, Senegal, E-mail : sowmamadou-
The Atmospheric Environment

Thank you for reading the atmospheric environment. Maybe you have knowledge that, people have search hundreds times for their chosen readings like this the atmospheric environment, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some harmful bugs inside their desktop computer. the atmospheric environment is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the the atmospheric environment is universally compatible with any devices to read.