Fingerprint Visualization

The study investigates the Respondents’ view on impact of sleep on students’ health residing in the University of Benin hostel. Four (4) research questions were raised and answered, also literature of other researchers were reviewed. The study adopted the descriptive survey research design, data was collected through the aid of a questionnaire. The questionnaire was structured according to the research questions and distributed to sample population of 100 respondents. The findings of the study revealed that that sleep has great impact on the health of students residing which can determine their level of academic performance in school based on their frequency of falling sick. Adequacy of sleep helps students to resistant to certain illness that is associated to inadequate sleep. Sleep patterns also have impact on the health of students residing in the University of Benin hostel due to the fact that students will good sleeping pattern are always mentally sound, while students who have poor seeping pattern are susceptible to fall ill regularly. Also, sleeping disorder have impact on the health of students residing in the University of Benin hostel as it can result to chronic diseases in that are detrimental to the life of the student which can make students academically backwards. It was however recommended that more awareness should be given to students in the importance of maintaining a good sleeping pattern and its impact on their health and academic performance; and that the government and the school management should ensure that that the school curriculum is not overwhelming for students as such that can disrupt their sleeping pattern.

This research introduces a pioneering method to improve latent fingerprint visualisation by synthesising silica nanoparticles from date palm seeds. Fingerprint identification is crucial in forensic science, but the quality of latent fingerprints greatly affects its reliability. Silica nanoparticles, with unique properties, are ideal for this purpose, and date palm seeds naturally contain them. This study focuses on extracting, purifying and confirming successful amorphous silica nanoparticle production. Preliminary findings indicate that these nanoparticles enhance latent fingerprint visibility on various surfaces, offering an eco-friendly approach to forensic science. This research promises to advance fingerprint identification by merging nanotechnology and forensic science through date palm seed-derived silica nanoparticle.