Structural–Functional Relationship of the Ribonucleolytic Activity of aIF5A from Sulfolobus solfataricus

The translation factor IF5A is a highly conserved protein playing a well-recognized and well-characterized role in protein synthesis; nevertheless, some of its features as well as its abundance in the cell suggest that it may perform additional functions related to RNA metabolism. Here, we have undertaken a structural and functional characterization of aIF5A from the crenarchaeal Sulfolobus solfataricus model organism. We confirm the association of aIF5A with several RNA molecules in vivo and demonstrate that the protein is endowed with a ribonuclease activity which is specific for long and structured RNA. By means of biochemical and structural approaches we show that aIF5A can exist in both monomeric and dimeric conformations and the monomer formation is favored by the association with RNA. Finally, modelling of the three-dimensional structure of S. solfataricus aIF5A shows an extended positively charged surface which may explain its strong tendency to associate to RNA in vivo

Building trust in agribusiness supply chains: A conceptual model of buyer-seller relationships in the seed potato industry in Asia

In the absence of a certified seed system, potato farmers in Asia must purchase replacement seed tubers from an informal seed system. With no third party assurance that the seed tubers purchased are of good quality, the farmer's decision to purchase seeds may be influenced by the long-standing relationships that have been established between buyers and sellers. Trust is the critical determinant of a good buyer-seller relationship. Through maintaining communication and the making of various relationship specific investments, a conceptual model is proposed which suggests that seed suppliers may engage in trust building behavior which should result in the preferred seed supplier enjoying a greater share of the farmer's patronage

The Challenges of Distance Learning in Countries Undergoing Transition During the COVID-19 Pandemic - Case Study

Virtual learning, also known as online learning or distance learning has transformed the face of the education system for quite some time. Now, it is rapidly becoming an integral aspect and a common tool, in the broader aspect of higher education, as a result of the COVID-19 pandemic. In addition to providing an alternative method of learning in the digital age, online learning offers students the opportunity to learn new skills or improve existing ones. On March 11, 2020, the World Health Organization declared COVID-19 a global pandemic. Following the speed with which COVID-19 spread to all parts of the world and to curb the spread of the disease, most governments around the world, including the Republic of Kosovo, authorized unprecedented social control measures to stop this disease unknown. These measures, among others, required social distancing and temporary physical closure of educational institutions. The first case of COVID 19 in Kosovo was identified on March 13, 2020, social distancing - full closure came into force on March 15, while UBT Higher Education Institution started online learning on March 16, 2020, the first in Kosovo and possibly in the Western Balkans. This teaching-learning process was a novelty for Kosovo and was applied for the first time. Objective: The main objective of the current survey was to study the impact of E-learning on students' academic performance and their evaluations of this form of teaching in general. The purpose of this paper is to reflect as professionally as possible the organization of distance learning, the effects on the teaching and learning process as well as the form and level of communication and teacher-student relations in this process which was a novelty for Kosovo and UBT as one of the largest Private Colleges in the region

SARS-CoV-2 multi-variant rapid detector based on graphene transistor functionalized with an engineered dimeric ACE2 receptor

Reliable point-of-care (POC) rapid tests are crucial to detect infection and contain the spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The emergence of several variants of concern (VOC) can reduce binding affinity to diagnostic antibodies, limiting the efficacy of the currently adopted tests, while showing unaltered or increased affinity for the host receptor, angiotensin converting enzyme 2 (ACE2). We present a graphene field-effect transistor (gFET) biosensor design, which exploits the Spike-ACE2 interaction, the crucial step for SARS-CoV-2 infection. Extensive computational analyses show that a chimeric ACE2-Fragment crystallizable (ACE2-Fc) construct mimics the native receptor dimeric conformation. ACE2-Fc functionalized gFET allows in vitro detection of the trimeric Spike protein, outperforming functionalization with a diagnostic antibody or with the soluble ACE2 portion, resulting in a sensitivity of 20 pg/mL. Our miniaturized POC biosensor successfully detects B.1.610 (pre-VOC), Alpha, Beta, Gamma, Delta, Omicron (i.e., BA.1, BA.2, BA.4, BA.5, BA.2.75 and BQ.1) variants in isolated viruses and patient's clinical nasopharyngeal swabs. The biosensor reached a Limit Of Detection (LOD) of 65 cps/mL in swab specimens of Omicron BA.5. Our approach paves the way for a new and reusable class of highly sensitive, rapid and variant-robust SARS-CoV-2 detection systems

The model of customer trust for internet banking adoption

The use of the Internet has increased dramatically over recent years and is now regarded as the best channel for distribution of products and services of various types of businesses, such as internet banking services. This paper extends an area of information systems research into a financial services context by looking into the element of trust in Internet banking. As more financial institutions are currently seeking ways to boost Internet banking adoption rates, trust is also being examined as a significant issue in the relationship. This can be attributed to the fact that bank customers are concerned about the security involved in processing such sensitive material as financial information. Moreover, significant factors of trust are involved and these include: accessibility, privacy, security, quality, usability, users knowledge and disposition to trust. These can all have an impact on customer trust in adopting internet banking. Based on previous models with aforementioned variables that are theoretically justified as having an influence on trust, a relevant research model was developed to test eight (8) hypothesized paths among the study variables. These include, namely: accessibility, privacy, security, quality, usability, users knowledge, disposition to trust, trust, as well as the rate of internet banking adoption. Data was collected by survey questionnaires from a sample of 150 internet banking users. The Smart PLS tool was used for data analysis. The results of the data analysis generally support the model, as well as all of the proposed hypotheses. In summary, the results of this research have shown that accessibility, privacy, security, quality, usability, users knowledge and disposition to trust were found to have significant influence