In Vitro and In Vivo Evidence that Thrombospondin-1 (TSP-1) Contributes to Stirring- and Shear-Dependent Activation of Platelet-Derived TGF-β1

Thrombospondin 1 (TSP-1), which is contained in platelet α-granules and released with activation, has been shown to activate latent TGF-β1 in vitro, but its in vivo role is unclear as TSP-1-null (Thbs1−/−) mice have a much less severe phenotype than TGF-β1-null (Tgfb1−/−) mice. We recently demonstrated that stirring and/or shear could activate latent TGF-β1 released from platelets and have now studied these methods of TGF-β1 activation in samples from Thbs1−/− mice, which have higher platelet counts and higher levels of total TGF-β1 in their serum than wild type mice. After either two hours of stirring or shear, Thbs1−/− samples demonstrated less TGF-β1 activation (31% and 54% lower levels of active TGF-β1 in serum and platelet releasates, respectively). TGF-β1 activation in Thbs1−/− mice samples was normalized by adding recombinant human TSP-1 (rhTSP-1). Exposure of platelet releasates to shear for one hour led to near depletion of TSP-1, but this could be prevented by preincubating samples with thiol-reactive agents. Moreover, replenishing rhTSP-1 to human platelet releasates after one hour of stirring enhanced TGF-β1 activation. In vivo TGF-β1 activation in carotid artery thrombi was also partially impaired in Thbs1−/− mice. These data indicate that TSP-1 contributes to shear-dependent TGF-β1 activation, thus providing a potential explanation for the inconsistent in vitro data previously reported as well as for the differences in phenotypes of Thbs1−/− and Tgfb1−/− mice

Emergency medical supplies scheduling during public health emergencies: algorithm design based on AI techniques

Based on AI technology, this study proposes a novel large-scale emergency medical supplies scheduling (EMSS) algorithm to address the issues of low turnover efficiency of medical supplies and unbalanced supply and demand point scheduling in public health emergencies. We construct a fairness index using an improved Gini coefficient by considering the demand for emergency medical supplies (EMS), actual distribution, and the degree of emergency at disaster sites. We developed a bi-objective optimisation model with a minimum Gini index and scheduling time. We employ a heterogeneous ant colony algorithm to solve the Pareto boundary based on reinforcement learning. A reinforcement learning mechanism is introduced to update and exchange pheromones among populations, with reward factors set to adjust pheromones and improve algorithm convergence speed. The effectiveness of the algorithm for a large EMSS problem is verified by comparing its comprehensive performance against a super-large capacity evaluation index. Results demonstrate the algorithm's effectiveness in reducing convergence time and facilitating escape from local optima in EMSS problems. The algorithm addresses the issue of demand differences at each disaster point affecting fair distribution. This study optimises early-stage EMSS schemes for public health events to minimise losses and casualties while mitigating emotional distress among disaster victims

Internalised Values and Fairness Perception: Ethics in Knowledge Management

This chapter argues for ethical consideration in knowledge management (KM). It explores the effect that internalised values and fairness perception have on individuals’ participation in KM practices. Knowledge is power, and organisations seek to manage knowledge through KM practices. For knowledge to be processed, individual employees—the source of all knowledge—need to be willing to participate in KM practices. As knowledge is power and a key constituent part of knowledge is ethics, individuals’ internalised values and fairness perception affect knowledge-processing. Where an organisation claims ownership over knowledge, an individual may perceive being treated unfairly, which may obstruct knowledge-processing. Through adopting ethical KM practices, individual needs are respected, enabling knowledge-processing. Implications point towards an ethical agenda in KM theory and practice

Does students’ satisfaction matter to faculty job satisfaction in higher education?

Drawing on the marketing aspects of customer satisfaction, this paper provides insights into the relationship between students’ and lecturers’ satisfaction in a higher education institution. The study critically adopts the logic of relationship marketing, arguing that students’ satisfaction affects lecturers’ job satisfaction. The relationship between students’ and lecturers’ satisfaction is explored using Balance Theory and Herzberg’s Motivation Theory. The Critical Incident Technique is used for data collection through interviews with student-lecturer dyads. The findings indicate that lecturers’ job satisfaction increases when students’ holistic feedback is explicitly shared with lecturers. Hence, investing in the communication of students’ satisfaction enhances lecturers’ job satisfaction. The current work adds a critical perspective to the relationship between lecturers’ and students’ satisfaction. It highlights a reversal of the accepted logic of relationship marketing, arguing that students’ satisfaction affects lecturers’ satisfaction. The methodological contribution of this work offers a new approach to using critical incident analysis techniques in dyads of students and lecturers

What motivates organisational knowledge transfer? Some lessons from a UK-based multinational

The transfer of knowledge is an important task of contemporary organisations. In the knowledge-based economy, more and more organisations have increasingly recognised and encouraged the value of knowledge transfer. However, there is sometimes a tendency to horde knowledge, perhaps through fear of losing power or through uncertainty over job security. In this paper, we consider the motivators of knowledge transfer based on an empirical study carried out in part of a UK multinational, IBM Laboratories, in which the atmosphere appeared conducive to knowledge sharing, and knowledge transfer appeared voluntary and spontaneous. The paper questions why members of an organisation like IBM might be enthusiastic about the transfer of knowledge among themselves. The paper investigates the motivating factors that encourage the transfer of knowledge. A number of motivators underlying knowledge transfer are identified