Design and Emergence of a Pedagogical Online InfoSec Laboratory as an Ensemble Artefact

Information security (InfoSec) education becomes increasingly important. Building hands-on capabilities to tackle challenges is a precondition to mitigate and eliminate cyber threats. Existing studies, however, show that the field lacks pedagogically founded information security laboratories that can be used flexibly to educate both on-campus and online learners. To address this issue, this paper reports on an online InfoSec laboratory. Development of the laboratory follows an action design research approach. For this purpose, initial design principles were used that are derived from the existing pedagogical theories such as Conversational Framework, Constructive Alignment, and Personalized System of Instruction, literature reviews and empirical data. Through iterative cycles of building, intervention, and evaluation of an InfoSec laboratory, and side-by-side critical reflections, this study refines the conceptual model of an online InfoSec laboratory and initial design principles and provides general guidelines on the process of establishing a pedagogically underpinned online InfoSec laboratory for hands-on exercises. This study contributes by serving two major purposes. First, this study proposes a conceptual model of an online InfoSec laboratory that comprises important entities: Laboratory Infrastructure, Exercise (document), Exercise Processing and Management Interface (EPI), and Concrete Exercise Interface. Secondly, the research proposes design principles for implementing a conceptual model of an online InfoSec laboratory in different educational contexts

Selective harmonic mitigation based two-scale frequency control of cascaded modified packed U-cell inverters

A new Modified Packed U-Cell (MPUC) converter architecture with cascading is proposed in this paper. To provide an output voltage of 25 levels, the proposed cascaded MPUC needs only twelve power switches and four power sources. The converter comprises two cascaded MPUCs with DC supply in a ratio of 5 : 1. One converter is operating at low frequency (LF) and the other at high frequency (HF) that leads to lower power losses and higher levels. Besides, a variable frequency method is anticipated to produce a 25-level output voltage which has low harmonic content (THD) with the help of Selective Harmonic Mitigation (SHM). The optimum switching angles for SHM are obtained through solving the SHM equations using the Genetic Algorithm (GA). The designed controller is efficient and suitable for applications that require low-frequency operation either in stand-alone or grid-tied. The proposed inverter and its operation procedure have been investigated using MATLAB®/Simulink software, and the findings demonstrate that the proposed inverter output voltage has reduced THD significantly. The simulation results are verified using the typhoon HIL-402 emulator. Also, the power loss analysis is done using PLECS. The maximum efficiency of the converter is found to be around 98.34 %. The simulation results justified the efficiency and viability of low 25-level THD voltages

Pinus roxburghii essential oil anticancer activity and chemical composition evaluation

The present study was conducted to appraise the anticancer activity of Pinus roxburghii essential oil along with chemical composition evaluation. MTT assay revealed cytotoxicity induction in colon, leukemia, multiple myeloma, pancreatic, head and neck and lung cancer cells exposed to essential oil. Cancer cell death was also observed through live/dead cell viability assay and FACS analysis. Apoptosis induced by essential oil was confirmed by cleavage of PARP and caspase-3 that suppressed the colony-forming ability of tumor cells and 50 % inhibition occurred at a dose of 25 μg/mL. Moreover, essential oil inhibited the activation of inflammatory transcription factor NF-κB and inhibited expression of NF-κB regulated gene products linked to cell survival (survivin, c-FLIP, Bcl-2, Bcl-xL, c-Myc, c-IAP2), proliferation (Cyclin D1) and metastasis (MMP-9). P. roxburghii essential oil has considerable anticancer activity and could be used as anticancer agent, which needs further investigation to identify and purify the bioactive compounds followed by in vivo studies

Estimation of Genetic Variability, Heritibility and Correlation for Some Morphological Traits in Spring Wheat

This study was conducted to assess correlation among the six wheat genotypes and their nine crosses at cool climatic conditions of Rawalakot, Azad Jammu & Kashmir. High heritability was observed in flag leaf area, peduncle length and spike length, whereas 1000-grain weight, number of spikelets per spike and plant height showed moderate heritability. Peduncle length, grain yield and plant height, flag leaf area and days to 50% heading showed low genetic advance. Positive direct effect was observed by flag leaf area, numbers of tillers per plant, plant height and number of spikelets per spike while days to 50% heading, number of spikelets per spike and 1000-grain weight showed direct negative effects on yield. High genotypic and  phenotypic  variability  was  observed  by  plant  height,  peduncle  length  and  grain  yield  per  plant. Values of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV) for all the traits under study. Key words: Spring Wheat, Heritability, Genetic Variability, Correlation and Flag leaf

NEAMTHM18

European-Union Civil Protection Mechanism, DG-ECHO, Agreement Number: ECHO/SUB/2015/718568/PREV26Published6T. Studi di pericolosità sismica e da maremoto1SR TERREMOTI - Sorveglianza Sismica e Allerta Tsunami2SR TERREMOTI - Gestione delle emergenze sismiche e da maremoto4IT. Banche dat

The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18)

ABSTRACT: The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-eastern Atlantic, the Mediterranean, and connected seas (NEAM). NEAMTHM18 was designed as a three-phase project. The first two phases were dedicated to the model development and hazard calculations, following a formalized decision-making process based on a multiple-expert protocol. The third phase was dedicated to documentation and dissemination. The hazard assessment workflow was structured in Steps and Levels. There are four Steps: Step-1) probabilistic earthquake model; Step-2) tsunami generation and modeling in deep water; Step-3) shoaling and inundation; Step-4) hazard aggregation and uncertainty quantification. Each Step includes a different number of Levels. Level-0 always describes the input data; the other Levels describe the intermediate results needed to proceed from one Step to another. Alternative datasets and models were considered in the implementation. The epistemic hazard uncertainty was quantified through an ensemble modeling technique accounting for alternative models' weights and yielding a distribution of hazard curves represented by the mean and various percentiles. Hazard curves were calculated at 2,343 Points of Interest (POI) distributed at an average spacing of ∼20 km. Precalculated probability maps for five maximum inundation heights (MIH) and hazard intensity maps for five average return periods (ARP) were produced from hazard curves. In the entire NEAM Region, MIHs of several meters are rare but not impossible. Considering a 2% probability of exceedance in 50 years (ARP≈2,475 years), the POIs with MIH >5 m are fewer than 1% and are all in the Mediterranean on Libya, Egypt, Cyprus, and Greece coasts. In the North-East Atlantic, POIs with MIH >3 m are on the coasts of Mauritania and Gulf of Cadiz. Overall, 30% of the POIs have MIH >1 m. NEAMTHM18 results and documentation are available through the TSUMAPS-NEAM project website (http://www.tsumaps-neam.eu/), featuring an interactive web mapper. Although the NEAMTHM18 cannot substitute in-depth analyses at local scales, it represents the first action to start local and more detailed hazard and risk assessments and contributes to designing evacuation maps for tsunami early warning

Artificial Intelligence Tools and Applications for Elderly Healthcare : Review

This study attempts to capture a holistic view of the Artificial Intelligence (AI) tools and applications for elderly healthcare to understand the impact of information and communication technologies on the quality of life for elderly people. The empirical material is collected through a literature review. Machine learning (ML), Natural language processing (NLP), Deep learning models, diagnosis and treatment applications, administrative applications, and Internet of things (IOT) are considered as the important technologies used for AI-based elderly healthcare solutions. This research work contributes to the existing literature by extracting important themes from reviewed literature such as Smart homes for elderly, AI-based health monitoring technologies, wearable devices, gamification technologies in elderly care, Robotic systems, AI for privacy protection of elderly app users and Ethical aspects of AI technologies for elderly. Additionally, a general scarcity of research on the topics of privacy protection and ethical aspects of AI technologies for elderly and healthcare personnel is noticed