Satisfaction and perceived impact of virtual learning during COVID-19 lockdown: A case study of an online nursing research conference

Aim This study aimed to assess nurses' satisfaction and perceptions of the impact of virtual learning. Design A descriptive cross-sectional survey. Method 236 nurses attending an online conference from several parts of Nigeria participated in the study. Analysed data were summarized and presented in tables and graphs, while linear regression was used to measure the associations. Results Most of the respondents perceived the programme as highly impactful. All three domains: learner-content interaction (p?=?0.020), learner?instructor interaction (p?=?0.000) and learner?learner interaction (p?=?0.000), were found to be statistically significantly associated with the perceived impact of the programme, and thus statistically significant predictors of the effects of online learning (p?=?0.02), (F?=?5.471). Conclusively, the Interaction of learners with learning content, lecturers and other learners was seen as determinants of an effective and impactful online education. It is recommended that nursing training institutions embrace online learning either as the leading platform or as an adjunct to a face-to-face method

Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates.

This article is devoted to applying bioinformatics and immunoinformatics approaches for the development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. The study’s relevance is dictated by the fact that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began its global threat at the end of 2019 and since then has had a devastating impact on the whole world. Measures to reduce threats from the pandemic include social restrictions, restrictions on international travel, and vaccine development. In most cases, vaccine development depends on the spike glycoprotein, which serves as a medium for its entry into host cells. Although several variants of SARS-CoV-2 have emerged from mutations crossing continental boundaries, about 6000 delta variants have been reported along the coast of more than 20 countries in Africa, with South Africa accounting for the highest percentage. This also applies to the omicron variant of the SARS-CoV-2 virus in South Africa. The authors suggest that bioinformatics and immunoinformatics approaches be used to develop a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. Various immunoinformatics tools have been used to predict T- and B-lymphocyte epitopes. The epitopes were further subjected to multiple evaluations to select epitopes that could elicit a sustained immunological response. The candidate vaccine consisted of seven epitopes, a highly immunogenic adjuvant, an MHC I-targeting domain (MITD), a signal peptide, and linkers. The molecular weight (MW) was predicted to be 223.1 kDa, well above the acceptable threshold of 110 kDa on an excellent vaccine candidate. In addition, the results showed that the candidate vaccine was antigenic, non-allergenic, non-toxic, thermostable, and hydrophilic. The vaccine candidate has good population coverage, with the highest range in East Africa (80.44%) followed by South Africa (77.23%). West Africa and North Africa have 76.65% and 76.13%, respectively, while Central Africa (75.64%) has minimal coverage. Among seven epitopes, no mutations were observed in 100 randomly selected SARS-CoV-2 spike glycoproteins in the study area. Evaluation of the secondary structure of the vaccine constructs revealed a stabilized structure showing 36.44% alpha-helices, 20.45% drawn filaments, and 33.38% random helices. Molecular docking of the TLR4 vaccine showed that the simulated vaccine has a high binding affinity for TLR-4, reflecting its ability to stimulate the innate and adaptive immune response

Application of Vibration Technique for the Control of Physical Properties of Yam (Dioscorea Spp.) Sprouts During Storage in Funaab, Nigeria Environment

Early sprouting of yam tuber is a typical problem during storage resulting into weight losses, deterioration, shrinkage and reduction in quality. This research work therefore carried out investigation on the application of vibration technique for the control of physical properties of yam (Dioscorea spp.) sprouts during storage in FUNAAB, Nigeria environment. The physical properties (length, number and weight of sprout, number of leaves and weight of roots) of the yam sprouts were determined for 140 white yam tubers. The yam tubers were divided into 108 experiment and 32 as control. The factors of the experimental design examined were frequency, amplitude and time of vibration of low (1 – 5 Hz, 5 mm and 3 minutes), medium (60 – 100 Hz, 10 mm and 10 minutes) and high (150 – 200 Hz, 20 mm and 15 minutes) respectively; weight of yam tuber of two levels of small (0.1 – 2.9 kg) and big (3.0 – 5.0 kg) were also considered. The tubers were stored for ten weeks after vibration, the physical properties of the yam sprouts were observed and records were taken every week. All the physical properties of yam sprouts examined followed the same trend. It was discovered that as the frequency, amplitude and time of vibration were increasing, the physical properties of the yam sprouts studied were decreasing significantly at p \u3c 0.05 for both weight of yams between 0.1 – 2.9 kg and between 3.0 – 5.0 kg. The results revealed that mechanical vibration significantly help in slowing down sprouting in yam tubers

Investigation of Vibration Technique To Control Physical Properties of Yam Tubers (Dioscorea rotundata Poir) uring Storage

Yam tubers lose weight during storage and prolonged storage can reduce tuber quality and quantity. This study investigated the application of vibration techniques for the control of the physical properties of yam tubers during storage. Measurements were conducted on the physical properties of the tubers: weight loss, shrinkage of the middle diameter, shrinkage of the length, top and bottom diameter, on 108 tubers treated and 32 tubers untreated (control). The factors of the experimental design were three levels of vibration frequencies, i.e. low (1 – 5 Hz), medium (60 – 100 Hz) and high (150 – 200 Hz), amplitudes of low (5 mm), medium (10 mm) and high (20 mm), and durations of low (5 minutes), medium (10 minutes) and high (15 minutes). Tuber weights were classified as small (0.1 – 2.9 kg) and large (3.0 – 5.0 kg). The tubers were stored for ten weeks after vibration, and their physical properties were measured every week during the storage period. Our study demonstrated that as the frequency, amplitude, and duration of vibration increase, the physical properties of yam tubers decrease significantly in both tuber classes. The study shows that mechanical vibration can slow down the changes in the physical properties of the yam tuber during storage

Correction: Oluwagbemi et al. Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates. <i>Computation</i> 2022, <i>10</i>, 117

The following information was missing in the original manuscript [...

Correction: Oluwagbemi et al. Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates. Computation 2022, 10, 117

The following information was missing in the original manuscript [...