Ohio Residency Law for Student Voters - Its Implications and a Proposal for More Effective Implementation of Residency Statutes

The task is to evaluate the traditional common law tests of domicile, many of which are outmoded, and to select those which are compatible with the new constitutional requirements of real fairness and equality in order to lay a firm foundation for the accomplishment of the original purposes of residency law in the modern world. Furthermore, the theoretical problems involved -constitutional exposition, common law analysis, statutory construction, and governmental policy- need to be synthesized into a system that is easily implemented by the Secretary of State, easily applied by local boards of election, and finally, easily understood by all new registrants for voting in Ohio. This article seeks to solve these problems in the soundest possible manner as a guide to the future and proposes a method of implementing them for boards of election and the general public

Single Tree Vegetation Depth Estimation Tool for Satellite Services Link Design

Attenuation caused by tree shadowing is an important factor for describing the propagation channel of satellite services. Thus, vegetation effects should be determined by experimental studies or empirical formulations. In this study, tree types in the Black Sea Region of Turkey are classified based on their geometrical shapes into four groups such as conic, ellipsoid, spherical and hemispherical. The variations of the vegetation depth according to different tree shapes are calculated with ray tracing method. It is showed that different geometrical shapes have different vegetation depths even if they have same foliage volume for different elevation angles. The proposed method is validated with the related literature in terms of average single tree attenuation. On the other hand, due to decrease system requirements (speed, memory usage etc.) of ray tracing method, an artificial neural network is proposed as an alternative. A graphical user interface is created for the above processes in MATLAB environment named vegetation depth estimation tool (VdET)

Smart grid applicability prioritisation of neighbourhoods by developing a geospatial decision support model

Environmental concerns comprising pollution and global warming are among the key parameters that steer policy making actions regarding sustainability. Energy industry that comprises energy generation, distribution, and transmission phases of energy loop is at the core of these concerns and faces challenges. Due to handling capabilities, present electricity grid is not robust enough to utilize desired level of renewable energy sources due to their intermittent nature. On the other hand, emerging policies are targeting the increased utilization of renewable energy sources. In the light of environmental policies and increased stability requirements of the electricity grids, a new concept called “smart grid” emerges. Smart grids are intended to eliminate the limitations of present electricity grids such as offering increased handling capacity for renewable energy, increased interaction of the consumers with the utilities, and increased supply and demand management. It is not easy to express a solid smart grid definition as each party (energy generation, distribution, and demand side management) has its own approach in line with the desires. Due to the potential environmental benefits of smart grids, some governments engage smart grid projects to their agenda. As solid smart grid definition does not exist, there is no available solid strategy for smart grid implementations. On the other hand, it is well understood that failure in deployment of smart grids (regardless of the technology) will have undesirable impacts on growth of renewable energy generation, and failure in meeting EU carbon targets consequently. This research seeks to develop a model that seeks optimization of smart grid implementations, and it assists decision makers with deciding on the priory areas for smart grid applicability. Stated areas in this case are neighbourhoods comprising of residential buildings where considerable amount of energy is consumed. A set of criteria regarding to residential energy use and renewable energy technologies, are defined in the study. Proposed model is embedded in a GIS platform, and the main process carried out is a prioritization mechanism that comprises Analytical Hierarchy Process (AHP) and geospatial computations like clustering and regression analysis in order to evaluate the alternative neighbourhoods. Proposed model optimizes smart grid projects by ranking of alternatives in terms of smart grid applicability. Such an aid in optimizing smart grid projects has the potential to maintain progress of smart grids in a timely manner

Assessment of in vitro antitumoral and antimicrobial activities of marine algae harvested from the eastern Mediterranean sea

Antitumoral activities of five algal extracts obtained from the marine algae Scytosiphon lomentaria, Padina pavonica, Cystoseira mediterranea (Phaeophyceae), Hypnea musciformis and Spyridia filamentosa (Rhodophyta) were assessed against the human breast adenocarcinoma cell line MCF–7 and the human prostate carcinoma epithelium like cell lines DU 145, LNCaP, PC3 using the cytotoxic assay, in vitro. The crude extract of S. filamentosa showed strong cytotoxic activity against the DU-145 cell line, and it showed less than 10% cell viability after treatment. Antimicrobial activities of the crude extracts of algae (with the exception of H. musciformis) were also tested by disc diffusion assay against three Gram positive and five Gram negative bacterial strains and against the yeast pathogen Candida albicans. Among the extraxts, S. lomentaria extract (prepared with methanol) inhibited highly Gram negative bacterium Salmonella typhimurium growth while C. albicans growth was only inhibited by C.mediterrranea extract