1st International Workshop on Search and Mining Terrorist Online Content and Advances in Data Science for Cyber Security and Risk on the Web

The deliberate misuse of technical infrastructure (including the Web and social media) for cyber deviant and cybercriminal behaviour, ranging from the spreading of extremist and terrorism-related material to online fraud and cyber security attacks, is on the rise. This workshop aims to better understand such phenomena and develop methods for tackling them in an effective and efficient manner. The workshop brings together interdisciplinary researchers and experts in Web search, security informatics, social media analysis, machine learning, and digital forensics, with particular interests in cyber security. The workshop programme includes refereed papers, invited talks and a panel discussion for better understanding the current landscape, as well as the future of data mining for detecting cyber deviance

Crossover from 2D ferromagnetic insulator to wide bandgap quantum anomalous Hall insulator in ultra-thin MnBi2Te4

Intrinsic magnetic topological insulators offer low disorder and large magnetic bandgaps for robust magnetic topological phases operating at higher temperatures. By controlling the layer thickness, emergent phenomena such as the Quantum Anomalous Hall (QAH) effect and axion insulator phases have been realised. These observations occur at temperatures significantly lower than the Neel temperature of bulk MnBi2Te4, and measurement of the magnetic energy gap at the Dirac point in ultra-thin MnBi2Te4 has yet to be achieved. Critical to achieving the promise of this system is a direct measurement of the layer-dependent energy gap and verifying whether the gap is magnetic in the QAH phase. Here we utilise temperature dependent angle-resolved photoemission spectroscopy to study epitaxial ultra-thin MnBi2Te4. We directly observe a layer dependent crossover from a 2D ferromagnetic insulator with a bandgap greater than 780 meV in one septuple layer (1 SL) to a QAH insulator with a large energy gap (>100 meV) at 8 K in 3 and 5 SL MnBi2Te4. The QAH gap is confirmed to be magnetic in origin, as it abruptly diminishes with increasing temperature above 8 K. The direct observation of a large magnetic energy gap in the QAH phase of few-SL MnBi2Te4 is promising for further increasing the operating temperature of QAH materials

Creating corroborated crisis reports from social media data through formal concept analysis

During a crisis citizens reach for their smart phones to report, comment and explore information surrounding the crisis. These actions often involve social media and this data forms a large repository of real-time, crisis related information. Law enforcement agencies and other first responders see this information as having untapped potential. That is, it has the capacity extend their situational awareness beyond the scope of a usual command and control centre. Despite this potential, the sheer volume, the speed at which it arrives, and unstructured nature of social media means that making sense of this data is not a trivial task and one that is not yet satisfactorily solved; both in crisis management and beyond. Therefore we propose a multi-stage process to extract meaning from this data that will provide relevant and near real-time information to command and control to assist in decision support. This process begins with the capture of real-time social media data, the development of specific LEA and crisis focused taxonomies for categorisation and entity extraction, the application of formal concept analysis for aggregation and corroboration and the presentation of this data via map-based and other visualisations. We demonstrate that this novel use of formal concept analysis in combination with context-based entity extraction has the potential to inform law enforcement and/or humanitarian responders about on-going crisis events using social media data in the context of the 2015 Nepal earthquake. Keywords : formal concept analysis, crisis management, disaster response, visualisation, entity extraction

Polygenic Risk Scores for Developmental Disorders, Neuromotor Functioning During Infancy, and Autistic Traits in Childhood

Background: Impaired neuromotor development is often one of the earliest observations in children with autism spectrum disorder (ASD). We investigated whether a genetic predisposition to developmental disorders was associated with nonoptimal neuromotor development during infancy and examined the genetic correlation between nonoptimal neuromotor development and autistic traits in the general population. Methods: In a population-based cohort in The Netherlands (2002–2006), we calculated polygenic risk scores (PRSs) for ASD and attention-deficit/hyperactivity disorder (ADHD) using genome-wide association study summary statistics. In 1921 children with genetic data, parents rated autistic traits at 6 years of age. Among them, 1174 children (61.1%) underwent neuromotor examinations (tone, responses, senses, and other observations) during infancy (9–20 weeks of age). We used linear regressions to examine associations of PRSs with neuromotor scores and autistic traits. We performed a bivariate genome-based restricted maximum likelihood analysis to explore whether genetic susceptibility underlies the association between neuromotor development and autistic traits. Results: Higher PRSs for ASD were associated with less optimal overall infant neuromotor development, in particular low muscle tone. Higher PRSs for ADHD were associated with less optimal senses. PRSs for ASD and those for ADHD both were associated with autistic traits. The single nucleotide polymorphism–based heritability of overall motor development was 20% (SE = .21) and of autistic traits was 68% (SE = .26). The genetic correlation between overall motor development and autistic traits was .35 (SE = .21, p < .001). Conclusions: We found that genetic liabilities for ASD and ADHD covary with neuromotor development during infancy. Shared genetic liability might partly explain the association between nonoptimal neuromotor development during infancy and autistic traits in childhood

Effect of Combined Application of Phosphate Solubilizing Bacteria and Phosphrous Fertilizer on Growth and Yield of Sesame

Introduction: Phosphorus (P) is considered to be one of the most essential macro elements required for growth and development of plants, but, due to low solubility and fixation in soils, only a small fraction of phosphorus in soil (1 ppm or 0.1%) is readily available to plants. chemical fertilizers are widely used in meeting the phosphorous need of crops. However, as the fertilizer production is dependent upon fossil energy sources, continuous use of chemical fertilizers has become a matter of great concern, not only because of the diminishing availability of costly inputs but environmental concerns also. Under this background, it has obviously brought the subject of mineral phosphate solubilization in the forefront. A group of soil microorganisms is recognized to be involved in microbial phosphate solubilization mechanisms through which insoluble forms of inorganic and organic phosphates convert into soluble forms (HPO4-2 or H2PO4-). Acidification of the medium, chelating, exchange reactions and production of various acids has been discussed as the key processes attributed to the conversion. Phosphate solubilizing bacteria (PSB) are a group of plant growth promoting rhizobacteria (PGPR) that convert unavailable forms of phosphorus to available forms and it helps to the growth and yield of plant. The use of plant growth promoting rhizobacteria (PGPR) is considered one of the most important factors increasing sesame yields. Therefore, the aim of the present study was to investigate the interactive effects of PGPR and phosphorus fertilizer on some growth parameters and components of yield and also phosphorus and Zinc uptake in sesame. Materials and Methods: In order to investigation of the effect of combined application of phosphate solubilizing bacteria and phosphorus fertilizer on growth and yield of Sesame, a greenhouse experiment was conducted as factorial based on completely randomized design with three replications including five levels of phosphorous fertilizer (0, 100, 200 and 400 kg ha-1 of triple superphosphate and 1200 kg ha-1 of rock phosphate) and three bacterial levels (inoculation with two phosphate solubilizing fluorescent pseudomonad, isolates of P3 and P5 that known in this study as B1 and B2 and non-inoculated). It should be noted that rock phosphate used in this study has contained 4% of zinc oxide. The bacteria selected from microbial bank of Vali-E-Asr University were able to dissolve the insoluble phosphate and produce siderophore and IAA. Four months after planting, plants were cut at the soil surface, and shoot dry weight, stem height, number of Seeds in pot, seed dry weight and seed oil percentage were recorded. Also phosphorus and Zinc contents in shoot were determined. Results and Discussion: Results indicated that both bacteria (B1 and B2) significantly increased shoot dry weight and B1 increased seed dry weight. Also application of phosphorus fertilizer significantly increased shoot dry weight and plant height. 200 kg ha-1 of triple superphosphate had highest shoot dry weight and was similar with rock phosphate. Combined application of Phosphorous fertilizer and phosphate solubilizing bacteria increased shoot dry weight. Results also showed that seed oil was increased by application of Phosphate rock. Phosphorus concentration in seed was increased with Using B1 and B2 isolates. Application of B2 significantly increased phosphorus concentration in seed (11.5%) and Phosphorous fertilizer levels increased concentration of P and Zn in seed. Application of 200 and 400 kg ha-1 triple superphosphate had the highest concentration of P and Zn in seed. Phosphorus fertilizer levels significantly enhanced uptake of P and Zn in shoot. Application of 200 and 400 kg ha-1 triple superphosphate led to increased uptake of phosphorous in shoot. Also rock phosphate significantly increased uptake of Zn in shoot. Combined application of Rock phosphate and bacteria of B1 and B2 had more significant effects on uptake of Zn in shoot. Conclusion: this study showed that Phosphate solubilizing bacteria (B1 and B2) had significant effects on the growth and nutrient uptake especially phosphorus and zinc in sesame. The simultaneous application of Phosphate rock and Phosphate solubilizing bacteria increased most of the measured parameters similar to the highest levels of triple superphosphate. Therefore, because of high cost of chemical fertilizers production and its environmental problems, application of less levels of phosphorus fertilizers or rock phosphate along with Phosphate solubilizing bacteria could be an appropriate option to avoid wasteful consumption of phosphorus fertilizers

Cyber attacks analysis using decision tree technique for improving cyber situational awareness

Cyber Security experts are trying to find solutions to prevent cyber-attacks and one of the main solutions is improving cyber situational awareness which leads to an extensive overview of the current situation in cyber space and gives prediction ability to managers to prevent future cyber threats. In this paper we aim to improve cyber situational awareness by analysing past cyber incidents in 2015 and for this purpose Open Source Intelligence has been chosen as main source of initial dataset and also Decision tree method has been used as a classification technique and a predictive approach in order to analyse the data