Assessment of radiation dose level in road side cooked meat in Makurdi metropolis, North Central Nigeria
Food borne illnesses may result from the consumption of food contaminated by microbial pathogens, toxic chemicals or radioactive materials. So far most studies have considered pathogenic and chemical aspect of food contamination. The study assesses the amount of radiation exposed to road side cooked meats within Makurdi metropolis. Different samples of the meat where collected in strategic locations and the Radiation Alert Inspector EXP. was used to detect the level of exposure in the meat samples. Results showed very low amount of radiation in the samples ranging between 1.9 × 10⁻⁷ ± 0.002 Gy h⁻¹ – 2.7 × 10⁻⁷ ± 0.003 Gy h⁻¹.
Aondoakaa J.K, Akaagerger N, Gemanam S.J (2026). Assessment of radiation dose level in road side cooked meat in Makurdi metropolis, North Central Nigeria. Research paper, 21(1), 1-4. https://doi.org/10.5281/zenodo.18136260
An Efficient Cryptosystem to Perform Encryption and Decryption of Data
The backbone of the modern world is electronic communication. Data is transferred from one place to another in almost no time using the electronic medium. But it also exposes the confidential data to the intruder. RSA is the most common and efficient cryptography technique that is used for the purpose of encrypting the content and then sending it over the channel, then than at receivers end the content is decrypted and converted in to original form. Although there are many security mechanisms are available. But there is a continuous need to improve the existing methods. Cryptography is a security mechanism which caters the security services of world in perfect manner.
Manila Vishwakarma, Sourabh Jain (2026). An Efficient Cryptosystem to Perform Encryption and Decryption of Data. Research paper, 21(1), 1-4. https://doi.org/10.5281/zenodo.18136280
A Review Paper on Image Inpainting and their Different Techniques
Image Inpainting is an art of modifying the digital image in such a way that the modifications are undetectable to an observer who has no idea about the original image. The essential thought behind the system is to consequently fill in lost or missing parts of a picture utilizing data from the encompassing region. It is utilized for rebuilding of old movies and protest expulsion in computerized photos. Different calculations have introduced in the past to accomplish the undertaking of picture inpainting. In this paper we give a survey of various systems utilized for picture Inpainting. We talk about various inpainting systems like Wavelet Transform inpainting, Exemplar based picture inpainting, PDE based picture inpainting, surface combination based picture inpainting.
Pranjali Joshi, Neeraj Shrivastav (2026). A Review Paper on Image Inpainting and their Different Techniques. Research paper, 21(1), 1-4. https://doi.org/10.5281/zenodo.18136287
Importance of MapReduce for Big Data Applications: A Survey
Significant regard for MapReduce framework has been trapped by a wide range of areas. It is presently a practical model for data-focused applications because of its basic interface of programming, high elasticity, and capacity to withstand the subjection to defects. Additionally, it is fit for preparing a high extent of data in Distributed Computing environments (DCE). MapReduce, on various events, has turned out to be material to a wide scope of areas. MapReduce is a parallel programming model and a related usage presented by Google. In the programming model, a client determines the calculation by two capacities, Map and Reduce. The basic MapReduce library consequently parallelizes the calculation and handles muddled issues like data dispersion, load adjusting, and adaptation to non-critical failure. Huge data spread crosswise over numerous machines, need to parallelize. Moves the data, and gives booking, adaptation to non-critical failure. A writing survey on the MapReduce programming in different areas has completed in this paper. An examination course has been distinguished by utilizing a writing audit.
M. Durairaj, T. S. Poornappriya (2026). Importance of MapReduce for Big Data Applications: A Survey. Research paper, 21(1), 1-7. https://doi.org/10.5281/zenodo.18136295

