Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature Driven Learning Framework for Cybersecurity Event Detection

Cybersecurity event detection is a crucial problem for mitigating effects on various aspects of society. Social media has become a notable source of indicators for detection of diverse events. Though previous social media based strategies for cyber-security event detection focus on mining certain event-related words, the dynamic and evolving nature of online discourse limits the performance of these approaches. Further, because these are typically unsupervised or weakly supervised learning strategies, they do not perform well in an environment of biased samples, noisy context, and informal language which is routine for online, user-generated content. This paper takes a supervised learning approach by proposing a novel multi-task learning based model. Our model can handle diverse structures in feature space by learning models for different types of potential high-profile targets simultaneously. For parameter optimization, we develop an efficient algorithm based on the alternating direction method of multipliers. Through extensive experiments on a real world Twitter dataset, we demonstrate that our approach consistently outperforms existing methods at encoding and identifying cyber-security incidents.
Operationalising Responsible Research and Innovation – tools for enterprises

Abstract Responsible Research and Innovation (RRI) is an emerging paradigm and a novel approach to governing science and innovation with the aim of making them ethically acceptable and socially desirable. RRI concept has become a popular term as a result of making it a cross-cutting theme for the Horizon 2020 Framework Programme. Up to date, research on the topic has focused on conceptual problems (relation with similar concepts as well as ethical, moral, philosophical, cultural underpinnings and assumptions) and on the possibilities of making the concept relevant to the Research & Innovation community in Europe and worldwide. Despite some initial efforts, there is still a need to further develop methods and techniques that could make RRI a useful framework for conducting innovation activities, especially in the business environment. The aim of this paper is to propose a range of approaches that help operationalise RRI. The approaches employ methods such as weighted indicators, maturity models and scorecards.
The Effect of High-Intensity Exercise on Changes of Blood Concentration Components in Algerian National Judo Athletes

Summary The aim of the present study to verify the impact of judo competition on changes in the blood count of judo athletes during an official competition. Also to compare these results with the different weight category. Methods: fifteen youth trained athletes were included in the study were divided into three groups according to weight category (light, medial, and heavy) weight. All subjects performed a 5×4mn round of competition with 15mn of rest between rounds and Complete Blood Count (CBC) were collected before, immediately after the competition, Data are reported as mean and standard deviation. The Shapiro-Wilk test was performed to verify the normality of the data, and the significance level was set at P < 0.05. Blood sample count was tested by a paired Student’s t-test to compare the pre-test and post-test for the three groups. The results showed that blood cell count was significantly decreased immediately after judo competition (p < 0.05). However, red blood cell, White blood cell Blood platelets, Mean Cell Volume were significantly increased after the performance (p < 0.05). The current study showed that the judo competition (Rondori) effectively enhance some blood cell count; these changes are transient and probably due to the adaptation to efforts related to judo competition in highly-trained athletes.
Filtering and Classifying Relevant Short Text with a Few Seed Words

Abstract Filtering out irrelevant documents and classifying the relevant ones into topical categories is a de facto task in many applications. However, supervised learning solutions require extravagant human efforts on document labeling. In this paper, we propose a novel seed-guided topic model for dataless short text classification and filtering, named SSCF. Without using any labeled documents, SSCF takes a few “seed words” for each category of interest, and conducts short text filtering and classification in a weakly supervised manner. To overcome the issues of data sparsity and imbalance, the short text collection is mapped to a collection of pseudodocuments, one for each word. SSCF infers two kinds of topics on pseudo-documents: category-topics and general-topics. Each category-topic is associated with one category of interest, covering the meaning of the latter. In SSCF, we devise a novel word relevance estimation process based on the seed words, for hidden topic inference. The dominating topic of a short text is identified through post inference and then used for filtering and classification. On two real-world datasets in two languages, experimental results show that our proposed SSCF consistently achieves better classification accuracy than state-of-the-art baselines. We also observe that SSCF can even achieve superior performance than the supervised classifiers supervised latent dirichlet allocation (sLDA) and support vector machine (SVM) on some testing tasks.
Histology and Brain Derived Neurotrophic Factor immunoreaction of the neurons in the corpora quadrigemina of the African grasscutter (Thryonomys swinderianus – Temminck, 1827)

Abstract The African grasscutter is the second largest rodent in Africa, thus, a key component of the minilivestock industry. The study described the histological features and probed the distribution of Brain Derived Neurotrophic Factor (BDNF) in the corpora quadrigemina of the African grasscutter at foetal and postnatal developmental periods. Brain samples from foetuses explanted on foetal days 60 (F60) and 90 (F90) and extracted from 3 and 6-days-old pups (P3 and P6, respectively), 72-days-old juveniles (P72) and 450-days-old adults (P450) were used. They were prepared for histology and immunohistochemistry. Three laminae were distinct in the rostral colliculi at the foetal and postnatal periods; an outermost stratum zonale, middle stratum griseum superficiale and an inner stratum griseum profundum. Stratum griseum intermediale and stratum medullarium were not distinct. On F60 and F90, the stratum zonale was made of immature neurons, devoid of neurites; the central nucleus of the caudal colliculus was also made of immature migrating neurons. On P3, the neurons were already mature. The stratum zonale was made of medium-sized neuronal cells and thick processes. The thickness of this layer decreased with age. On P3, the caudal colliculus was made of all the components typical of a developed caudal colliculus. There was no BDNF immunoreactive cell in the stratum zonale at any postnatal period; a moderate BDNF-immunoreactivity in the stratum griseum superficiale on P3, a mild immunoreactivity on P6, none reactivity on P72 and mild on P450. The dorsal and lateral cortices of the caudal colliculus were none reactive to BDNF at any postnatal period. The results suggest a better auditory than visual capacity in the rodent.
Swimming Performance to 25 Meters Backstroke Depends on Selected Factors of Explosive Strength of Lower Limbs

Summary The aim of our work was to analyze the partial shares of selected factors of explosive strength of lower limbs on the overall explanation of swimming performance to the 25 meters backstroke. 29 students of Physical Education took part in our research and completed 6 tests. These tests were realized on a dry-land and in the water and they consisted of swimming performance to 25 meters backstroke, swimming start speed to 4 meters, vertical jump with and without arm-swing, maximum and average velocity of take-off performance on dry land under the backstroke start conditions. The obtained data are described by descriptive statistics and all parameters were entered to the correlation analysis for their dependence evaluation. By the analysis, we found that all tests significantly correlated with each other (p < 0.01; p < 0.05) except for the start to 4 meters test and Tendo velocity average test. For the evaluation of factors that determine the swimming performance to 25 meters backstroke, we use the regression analysis of parameters where the regression model was reflected as statistically significant (R2 = 0.479 %; SEE = 3.396 %). Partial shares of individual tests, except for tests of maximal and average velocity on a dryland, showed up as statistically significant (p < 0.05; p < 0.01), with the highest share of swimming start to 4 meters performance (p < 0.01; r = 0.686). We used the regression step analysis in which we decrease the indicators to the three main factors of the strength of lower limbs model, which influence the swimming performance to the 25 meters backstroke significantly with large effect (R2 = 0.4787 %; f2 = 0.9183; F = 7.652; p < 0.01). Again, the highest and statistically significant (p < 0.01) share on the explanation of swimming performance had the start to 4 meters with 43.33 % percentage share. Besides the swimming start, the Countermovement Jump test was statistically significant too (p < 0.05) and statistically insignificant was test of maximum velocity on a dry-land. By this study we can evaluate how individual factors of strength of lower limbs influence the swimming performance and for the future it is necessary to complete them with the other factors for the better creation of the appropriate swimming training program.
Prevalence of Toxoplasma Antibodies by Using Modified Direct Agglutination Test in Dogs in Chennai

Serum samples collected from 400 dogs in and around Chennai, India were analysed for antibodies to Toxoplasma gondii by modified direct aggulutination test (MDAT) and the seroprevalence was recorded as 29.25%. The titre value of 1: 64 and above was considered as positive. Statistically there was no significant correlation between age and sex-wise occurrence of toxoplasmosis. Non-descript dogs showed higher seropositivity than other breeds.
Towards an understanding of RNA structural modalities: a riboswitch case study

Abstract A riboswitch is a type of RNA molecule that regulates important biological functions by changing structure, typically under ligand-binding. We assess the extent that these ligand-bound structural alternatives are present in the Boltzmann sample, a standard RNA secondary structure prediction method, for three riboswitch test cases. We use the cluster analysis tool RNAStructProfiling to characterize the different modalities present among the suboptimal structures sampled. We compare these modalities to the putative base pairing models obtained from independent experiments using NMR or fluorescence spectroscopy. We find, somewhat unexpectedly, that profiling the Boltzmann sample captures evidence of ligand-bound conformations for two of three riboswitches studied. Moreover, this agreement between predicted modalities and experimental models is consistent with the classification of riboswitches into thermodynamic versus kinetic regulatory mechanisms. Our results support cluster analysis of Boltzmann samples by RNAStructProfiling as a possible basis for de novo identification of thermodynamic riboswitches, while highlighting the challenges for kinetic ones.
Evaluating the quality and accuracy of online physical activity resources for individuals living with osteoporosis

ABSTRACT The purpose of the present investigation was to examine the quality and accuracy of online physical activity (PA) information for individuals living with osteoporosis. Using a systematic review protocol and guided by previous synthesis research, 57 websites were included in this study. Two independent coders evaluated each website by extracting data pertinent to descriptive characteristics, technical quality, and accuracy of PA information. While most websites presented information regarding aerobic (94.47%) and resistance (89.47%) PA, rarely was information presented consistent with public health recommendations for PA in older adults or recommendations advanced by Giangregorio et al. (2014). Considerably less information was devoted to balance or flexibility forms of activity. Most websites included information on the benefits (94.40%) and safety considerations (72.20%) for PA for individuals living with osteoporosis. Other cognitive or behavioral aspects linked to PA were less common features of coded websites. Greater attention to public health guidelines or evidence-informed recommendations when developing websites to encourage individuals living with osteoporosis to adopt PA is recommended.
Marketing support of decision-making at the forest enterprise: A case study on roundwood assortments portfolio

Abstract This paper focuses on the marketing support of decision-making at the forest enterprise on the example of forestry products, concretely, of roundwood assortments on the chosen state forest enterprise in the Slovak Republic. The most used marketing decision-making models as SWOT, BCG, and GE matrices with support of ABC analysis were used for chosen research purpose. Additionally, these models were compared to confirm their reliability and expressing power for marketing management of forest enterprise. The conclusions confirm that the use of these models build a strong framework for the decision-making support of forest enterprise management. The outcomes of models contribute to each other and they do not contradict. However, it is necessary to have a strong base of forestry practice knowledge due to the correct interpretation of these models. In contrast to other industrial companies, forest sector is a very specific regarding the long rotation and payback period. The main pillar of the product portfolio and forest enterprise either are assortments of the III. qualitative class and broadleaf pulpwood with the 86% share on total revenues. Concerning the prevalence of threats and company strengths, it is necessary to choose diversification management approach for the product portfolio.
The genus Matricaria L. (Asteraceae) in Turkey

Abstract In this study, a report on the genus Matricaria in Turkey is provided based on floristic studies. Previously recorded taxa are compared with new ones from our collections. Four taxa of Matricaria in Turkish flora are recognized: M. aurea, M. chamomilla var. chamomilla, M. chamomilla var. recutita and M. matricarioides. On the other hand, M. chamomilla var. coronata is an erroneous record for the flora of Turkey. Diagnostic morphological characters together with data on phenology, habitat and distribution as well as dichotomous keys for Matricaria taxa are presented. Proportions of various phytogeographical elements of Matricaria taxa in Turkey are provided.
Gender Differences in Quality of Life and Physical Activity of High School Students

Summary This article demonstrates the gender differences between the physical activity (PA), the joy of physical activity (PACES) and quality of life areas of boys and girls from high schools with different sports level and in the different ages. In this survey participated 630 boys and 672 girls from high schools in the age from 16 to 19 years. The quality of life is measured by the SQUALA survey, joy of the movement by the PACES survey, and the level of physical activity per week in hours by PAQ survey. The level of sports performance is defined by levels (occasional, active and registered sportsman). The data are presented by descriptive characteristics (n, M, SD) and the significance of differences and the relations are measure by non-parametric methods (W, rs). Differences in the PA, PACES, SQUALA levels at the group of boys and girls in the different age and sports level are rare. Different load of physical activity relates to sport level. It was not proven that with the increasing sports level, the joy of the physical activity also rises. The interactions between indicators of PA, PACES, and SQUALA in boys and girls in the different age and sports level were proven sporadically with a predominance of negative correlations. In most cases, the positive interactions of PA with PACES and areas of physical well-being was not proven. The higher appearance of positive correlations of PA with areas of SQUALA prevails in 18-years old girls. Boys show the higher number of interactions of PACES with areas of SQUALA. The joy of the movement positively correlates with spiritual well-being in groups of 18-19 years old boys, which perform physical activities in all sports levels. The gender differences between monitored indicators show that the gender factor is very important in this study. The age and sport level factor contributed significantly in the differentiated results of high school boys and girls.
Zwischen Science Fantasy und ontologischer Politik. Künstlerischer Technomaterialismus jenseits der Geschlechtergrenzen

In den 1990er Jahren entwickelte sich Bio-Art, ein Bereich der Kunst, der die Verfahren, Techniken und das Material aus den Laboren der Biound Gentechnologien künstlerisch gestaltet und ästhetisiert. Diese Kunst thematisiert Fragen der Technikentwicklung, der Transformation von Mensch-Technik-Materie-Relationen und erzeugt ›in vivo‹ wie auch ›in vitro‹ Möglichkeiten der Konfrontation und der gesellschaftlichen Auseinandersetzung. Ein bekanntes Beispiel ist das Bild eines transgenen Lebewesens, das der Künstler Eduardo Kac im Jahr 2000 in die Welt brachte: ein grün leuchtendes Kaninchen, in dessen Genom ein aus einer Tiefseequalle stammendes Gen zur Herstellung eines f luoreszierenden Protein eingebaut wurde. Kac deklarierte den grünen Hasen als neues Mitglied seiner Familie und löste eine öffentliche Debatte über die ethischen und sozialen Implikationen der Gentechnologie aus (Kac 2000). Der vorliegende Beitrag interessiert sich dafür, wie in den Projekten und Produkten der Bio-Art ein diskursiver Raum erzeugt wird, in dem die mit den technologischen Entwicklungen verbundenen Erfahrungen der Verf lüssigung von gesellschaftlichen Bedeutungen und Sicherheiten die semiotisch-materiellen Zusammenhänge von Mensch, Maschine und Materie betreffend sichtbar und erfahrbar werden. Dabei ist auffällig, dass die feministische Frage nach den mit Hilfe der Biound Gentechnologien hervorgebrachten Dynamisierungen von Geschlechterkonstellationen samt kategorialer Verschiebungen zumeist nur abstrahiert in Erscheinung tritt: als Frage danach, wie materielle Grenzen und Bedeutungen von Körpern, Lebewesen und Arten temporär und lokal in Kraft gesetzt werden. Diese Abwesenheit konkreter geschlechtlicher Figurationen und Bedeutungen überrascht, beziehen sich doch viele künstlerische Bearbeitungen technisch-lebendiger Materie explizit auf Donna Haraway, vor al-
Gender Differences in Subjective Well-Being of Healthy High-School Students

Summary The objective of this study was to analyse the level of subjective well-being (SWB) through five SWB dimensions and compare it between healthy male and healthy female high school students preferring sedentary leisure time activities. The research sample comprised of 90 male high school students (mean age 16.72 ± 1.33) and 126 female high school students (mean age 16.71 ± 1.36) who preferred sedentary types of leisure time activities with self-reported good health status. A standardized The Bern Subjective Well-Being Questionnaire for Adolescents (BFW) was used as a primary research method. We found significantly higher level of positive SWB dimension (U = 4281, p = 0.002, r = 172) and significantly lower level of negative SWB dimension (U = 2835, p = 0.000, r = 424) in the group of male high school students with self-reported good health status in comparison to female high school students. Parents should be involved in the selection of their children's leisure time activities, so it should not have only the sedentary character but also sport leisure time activities, mainly among young girls.
What Motives Users to Participate in Danmu on Live Streaming Platforms? The Impact of Technical Environment and Effectance

Abstract Danmu function as an augmented comment feature has been adopted by almost all live streaming platforms to foster interaction between viewers and the streamer in China. However, few studies have been conducted to understand the determinants of users’ Danmu sending behavior on live streaming platforms. This study examines this phenomenon from the lens of effectance theory and the S-O-R framework. We propose that two effectances – Danmu effectance and live streaming effectance – play an essential role in active Danmu participation. In addition, we explore the effects of time-enhanced (synchronicity) and space-enhanced technical characteristic (visibility) of Danmu on live streaming platforms on two effectances. Data analysis of 877 participations from Douyu platform in mainland China indicates that active Danmu participation is positively associated with Danmu effectance and live streaming effectance which are influenced by both time-enhanced technical feature (synchronicity) and space-enhanced technical feature (visibility). In addition, the study finds that demographic characteristics, namely education and income, also affect active Danmu participation.
Spatio-Temporal Hotspot Computation on Apache Spark (GIS Cup)

Large quantities of mobility data are produced by people and vehicles daily. Mining and analysis of patterns, such as hotspots, in this data can serve to improve location-based services. However, due to the massive amount of information, efficient techniques are needed for processing it in distributed environments using frameworks, such as Apache Spark. In this work, within the scope of the GIS Cup 2016, we focus on the detection of statistically significant hotspots in large-scale spatio-temporal data using the Getis-Ord Gi statistic on top of the Spark framework. Using a uniform spatio-temporal partitioning, we find the most significant drop-off locations in taxi trip data for New York City based on the passenger count. We present a baseline and two variants of an optimized solution for the problem. Finally, we compare and demonstrate the performance of the proposed algorithms through an experimental evaluation. CCS Concepts •Computing methodologies→MapReduce algorithms; •Information systems → Spatial-temporal systems;
3-D Spatial Compounding Using a Row-Column Array

2-D spatial compounding has long been investigated to reduce speckle in ultrasound images. To further reduce speckle, several 3-D spatial compounding studies using 1-D and 1.5 D arrays with mechanical translation and position tracking have been reported. However, the fixed elevational focus and mechanical translation can degrade image quality in elevation. Using 2-D arrays, a better elevational resolution can be achieved with electronic focusing. Furthermore, 2-D arrays can generate greater number of independent images than 1-D arrays and the need for mechanical scanning is eliminated. In this paper, we present our 3-D spatial compounding images of two gel-based contrast phantoms and one resolution phantom. These images were acquired using a prototype 4 cm × 4 cm ultrasonic row-column prototype 2-D array operating at 5 MHz. Compounding nine decorrelated volumes showed a speckle signal-to-noise ratio (SNR) improvement of 2.68. The average improvement of the lesion contrast-to-noise ratio (CNR) was 2.45. However, using a smaller aperture to generate these volumes worsened the lateral resolution as predicted by theory.