Enrich awareness of users to detect phishing websites

Phishing attack is used for identity theft with the help of social engineering and some sophisticated attacks. To attract the user by clicking a URL and is trapped to a phishing Web page. Security for user’s credentials is one of most important factor for organizations nowadays. It can be achieved through several ways like education and training. Through training and education the level of awareness will be increased also it helps to mitigate phishing. Approach with several steps is introduced in this paper, where a user must take a look or take these precautionary measures if the user is browsing any Web browser. We found it possible to detect Phishing Web pages without anti Phishing solutions. This approach contains several steps to examine whether the Web page is a real Web page or a fake Webpage. All these steps will check the phishing features exist in that Web page or not. For evaluation of our approach we analyzed the data set of Phish Tank, this data set is full of Phishing Web Pages. The purpose of evaluation is to check the features discussed in our approach to aware the user. From the following result it is resulted that the user can detect without using any Anti Phishing solution just by taking some steps to check the Web page for certain features

Shedding New Light on Kaon-Nucleon/Nuclei Interaction and Its Astrophysical Implications with the AMADEUS Experiment at DAFNE

The AMADEUS experiment deals with the investigation of the low-energy kaon-nuclei hadronic interaction at the DA{\Phi}NE collider at LNF-INFN, which is fundamental to respond longstanding questions in the non-perturbative QCD strangeness sector. The antikaon-nucleon potential is investigated searching for signals from possible bound kaonic clusters, which would open the possibility for the formation of cold dense baryonic matter. The confirmation of this scenario may imply a fundamental role of strangeness in astrophysics. AMADEUS step 0 consisted in the reanalysis of 2004/2005 KLOE dataset, exploiting K- absorptions in H, 4He, 9Be and 12C in the setup materials. In this paper, together with a review on the multi-nucleon K- absorption and the particle identification procedure, the first results on the {\Sigma}0-p channel will be presented including a statistical analysis on the possible accomodation of a deeply bound stateComment: 6 pages, 2 figure, 1 table, HADRON 2015 conferenc

Deep neural networks allow expert-level brain meningioma segmentation and present potential for improvement of clinical practice

Accurate brain meningioma segmentation and volumetric assessment are critical for serial patient follow-up, surgical planning and monitoring response to treatment. Current gold standard of manual labeling is a time-consuming process, subject to inter-user variability. Fully-automated algorithms for meningioma segmentation have the potential to bring volumetric analysis into clinical and research workflows by increasing accuracy and efficiency, reducing inter-user variability and saving time. Previous research has focused solely on segmentation tasks without assessment of impact and usability of deep learning solutions in clinical practice. Herein, we demonstrate a three-dimensional convolutional neural network (3D-CNN) that performs expert-level, automated meningioma segmentation and volume estimation on MRI scans. A 3D-CNN was initially trained by segmenting entire brain volumes using a dataset of 10,099 healthy brain MRIs. Using transfer learning, the network was then specifically trained on meningioma segmentation using 806 expert-labeled MRIs. The final model achieved a median performance of 88.2% reaching the spectrum of current inter-expert variability (82.6-91.6%). We demonstrate in a simulated clinical scenario that a deep learning approach to meningioma segmentation is feasible, highly accurate and has the potential to improve current clinical practice

Radiating black hole solutions in arbitrary dimensions

We prove a theorem that characterizes a large family of non-static solutions to Einstein equations in $N$-dimensional space-time, representing, in general, spherically symmetric Type II fluid. It is shown that the best known Vaidya-based (radiating) black hole solutions to Einstein equations, in both four dimensions (4D) and higher dimensions (HD), are particular cases from this family. The spherically symmetric static black hole solutions for Type I fluid can also be retrieved. A brief discussion on the energy conditions, singularities and horizons is provided.Comment: RevTeX 9 pages, no figure

Time to embrace access programmes for medicines: Lessons from the South African flucytosine access programme.

BACKGROUND: Cryptococcal Meningitis (CM) is estimated to cause 181,000 deaths annually; with the majority occurring in Sub Saharan Africa. Flucytosine is recommended by the World Health Organization as part of the treatment for CM. Widespread use of flucytosine could reduce mortality in hospital by as much as 40% compared to the standard of care, yet due to market failure quality assured flucytosine remains unregistered and largely inaccessible throughout Africa. METHODS: The recently established South African flucytosine clinical access programme is an attempt to address market failure which led to a lack of public-sector access to flucytosine for cryptococcal meningitis, by making the medicine freely available to tertiary hospitals in South Africa. RESULTS: Between November 2018 and September 2019, 327 CM patients received flucytosine through this programme, with efforts to support sustainable national scale up presently ongoing. We describe why this programme was needed, its catalytic potential, what is still required to ensure widespread access to flucytosine, and observation from this experience that may have wider relevance. CONCLUSIONS: The South African Flucytosine Access Programme illustrates how access programmes may be one part of the solution to addressing the vicious cycle of perceived low demand, limiting manufacturer interest in specific product markets

The kaonic atoms research program at DA{\Phi}NE: from SIDDHARTA to SIDDHARTA-2

The interaction of antikaons with nucleons and nuclei in the low-energy regime represents an active research field in hadron physics with still many important open questions. The investigation of light kaonic atoms, in which one electron is replaced by a negatively charged kaon, is a unique tool to provide precise information on this interaction; the energy shift and the broadening of the low-lying states of such atoms, induced by the kaon-nucleus hadronic interaction, can be determined with high precision from the atomic X-ray spectroscopy, and this experimental method provides unique information to understand the low energy kaon-nucleus interaction at the production threshold. The lightest atomic systems, like the kaonic hydrogen and the kaonic deuterium deliver, in a model-independent way, the isospin-dependent kaon-nucleon scattering lengths. The most precise kaonic hydrogen measurement to-date, together with an exploratory measurement of kaonic deuterium, were carried out in 2009 by the SIDDHARTA collaboration at the DA{\Phi}NE electron-positron collider of LNF-INFN, combining the excellent quality kaon beam delivered by the collider with new experimental techniques, as fast and very precise X-ray detectors, like the Silicon Drift Detectors. The SIDDHARTA results triggered new theoretical work, which achieved major progress in the understanding of the low-energy strong interaction with strangeness reflected by the antikaon-nucleon scattering lengths calculated with the antikaon-proton amplitudes constrained by the SIDDHARTA data. The most important open question is the experimental determination of the hadronic energy shift and width of kaonic deuterium; presently, a major upgrade of the setup, SIDDHARTA-2, is being realized to reach this goal. In this paper, the results obtained in 2009 and the proposed SIDDHARTA-2 upgrades are presented

The impact of a school-based, nurse-delivered asthma health education programme on quality of life, knowledge and attitudes of Saudi children with asthma

Background More than two million people have asthma in Saudi Arabia: 13% aged 6-10 years. Asthma is one of the most common childhood illnesses. Little has been explored about children’s ability to learn more about their own asthma in Saudi Arabia. Aims The study was designed to assess the impact of a school-based, nurse-delivered asthma health education programme on asthmatic children's knowledge and attitude towards asthma, quality of life, anxiety level, and school absenteeism. Methods A quasi-experimental, non-equivalent groups, pre-test post-test design was used. The education programme was developed from existing evidence. The Paediatric Asthma Quality of Life Questionnaire, Spence Anxiety Tool, Asthma Knowledge Questionnaire, and Asthma Attitude Questionnaire were employed for data collection. Intervention (n=130) and control (n=98) groups were drawn from 10 schools in Ha’il region, Saudi Arabia. Descriptive and inferential statistics were used to examine differences within and between groups. Results Knowledge of asthma increased significantly more in the intervention group than in the control group. Attitude toward asthma was not changed by the intervention. Anxiety scores reverted to pre-test level by post-test II. The intervention group had significantly better total quality of life scores than the control group, and school absenteeism reduced significantly after delivery of the programme. Conclusion The asthma education programme impacted positively on students' knowledge, quality of life, and school attendance. However, asthma education did not change attitudes towards the condition, and the impact on anxiety was not persistent. The results emphasise the benefits of provision of health education directly to children. Asthma education should be integrated into the Saudi national child health programme. Key words: Asthma, Children, Education programme, Self-agenc

Spectroscopy of kaonic atoms at DAFNE and J-PARC

The interaction of antikaons (K^{-}) with nucleons and nuclei in the low-energy regime represents a very active research field in hadron physics. A unique and rather direct experimental access to the antikaon-nucleon scattering lengths is provided by precision X-ray spectroscopy of transitions in low-lying states in the lightest kaonic atoms (i.e. kaonic hydrogen and deuterium). In the SIDDHARTA experiment at the electron-positron collider DAFNE of LNFINFN we measured the most precise values of the strong interaction observables in conic hydrogen. The strong interaction on the 1s ground state of the electromagnetically bound K-p atom causes an energy shift and broadening of the 1s state. SIDDHARTA will extend the spectroscopy to kaonic deuterium to get access to the antikaon-neutron interaction and thus the isospin dependent scattering lengths. At J-PARC a kaon beam is used in a complementary experiment with a different setup for spectroscopy of kaonic deuterium atoms. The talk will give an overview of the of the upcoming experiments SIDDHARTA and the complementary experiment at J-PARC.Furthermore, the implications of the experiments for the theory of low-energy strong interaction with strangeness will be discussed

Simulation of a Sensitive Mid-infrared (MIR) D-Shaped Optical Fiber Water Pollutant Sensor

In this work, an efficient optical sensor is proposed for the sensitive detection of various pollutants in water. The suggested optical sensor is based on an indium fluoride (InF3) glass fabricated as a D-shaped optical fiber. The polished surface of the D-shaped fiber is coated with a gold grating to induce the surface plasmon resonance (SPR). The SPR depends on the optical properties of the polluted water analyte in physical contact with the grating. The proposed optical SPR fiber sensor operates within the mid-infrared (MIR) range (3000–4500 nm) to detect any slight change in the water refractive index (RI) due to any pollutants. The full vectorial finite element method (FVFEM) is utilized to calculate the modal properties of the reported sensor. High sensor sensitivity of 17,834 nm/RIU (refractive index units) is achieved for the detection of dissolution of nitric acid (HNO3) in water at a concentration of 14% v/v (volume/volume). Additionally, the reported sensor detects the dissolution of hydrogen peroxide (H2O2) in water investigated at concentrations of 15% v/v and 30% v/v, with sensitivities of 12,308 nm/RIU and 17,143 nm/RIU, respectively. Further, suspending polystyrene beads of diameter 0.1 μm in the water at a concentration of 10% v/v gives a maximum sensitivity of 5333 nm/RIU. Therefore, the proposed sensor provides a promising approach for the detection of water pollutants in the MIR wavelength regime, rather than the weaker response in the near infrared

Circulating tumor cells in breast cancer: A tool whose time has come of age

Circulating tumor cells (CTCs) are isolated tumor cells disseminated from the site of disease in metastatic and/or primary cancers, including breast cancer, that can be identified and measured in the peripheral blood of patients. As recent technical advances have rendered it easier to reproducibly and repeatedly sample this population of cells with a high degree of accuracy, these cells represent an attractive surrogate marker of the site of disease