Mediating Medieval Mystical Literature in Interwar Belgium: The Histoire Croisée of Hadewijch’s ‘First Vision’ in the Periodical Hermès (1933–39)

In a context in which various artistic groups resorted to periodicals to stage their public appearance, the editors of the Brussels-based magazine Hermès: Revue trimestrielle d'études mystiques et poétiques (1933–39) mobilized Middle Dutch mystical literature to carve out a space for themselves in the cultural scene of interwar Belgium. Drawing on methods and concepts of transfer studies and research into ethos construction, this article analyses the transfer strategies underpinning the publication of the French translation of the ‘First Vision’ of the Middle Dutch mystic Hadewijch (c. 1240), with which Hermès programmatically opened its inaugural volume. The analysis uncovers a complex histoire croisée which involved confrontations, both collaborative and conflictual, between Hermès and two very different groups of cultural actors: the circle of Brussels Surrealists, with whom the editors of Hermès shared a history, and the Catholic philologists of the Ruusbroecgenootschap [Ruusbroec Society], who equally sought to disseminate Middle Dutch mystical texts to a wider public, albeit with very different goals.

Exploring model transfer strategies for sentiment analysis in Twitter

As mídias sociais se tornaram um ambiente popular para comunicação. Por isso, analisar o sentimento que o usuário expressa em suas postagens nas redes sociais é um importante campo de pesquisa. No entanto, detectar a polaridade em tais conteúdos é um desafio, em parte porque a quantidade de dados rotulados para treinar classificadores é escassa em muitas situações. Este artigo explora estratégias para reusar um modelo aprendido a partir de conjunto de dados fonte para classificar instâncias em um conjunto de dados de destino. Os experimentos são conduzidos com 22 conjuntos de dados de análise de sentimento em tweets e abordagens baseadas em métricas de similaridade. Os resultados apontam que o tamanho do conjunto de treinamento fonte desempenha um papel essencial no desempenho dos classificadores quando usados para inferir a classe das instâncias alvo.

Mitochondrial Transfer in Cardiovascular Disease: From Mechanisms to Therapeutic Implications

Mitochondrial dysfunction has been proven to play a critical role in the pathogenesis of cardiovascular diseases. The phenomenon of intercellular mitochondrial transfer has been discovered in the cardiovascular system. Studies have shown that cell-to-cell mitochondrial transfer plays an essential role in regulating cardiovascular system development and maintaining normal tissue homeostasis under physiological conditions. In pathological conditions, damaged cells transfer dysfunctional mitochondria toward recipient cells to ask for help and take up exogenous functional mitochondria to alleviate injury. In this review, we summarized the mechanism of mitochondrial transfer in the cardiovascular system and outlined the fate and functional role of donor mitochondria. We also discussed the advantage and challenges of mitochondrial transfer strategies, including cell-based mitochondrial transplantation, extracellular vesicle-based mitochondrial transplantation, and naked mitochondrial transplantation, for the treatment of cardiovascular disorders. We hope this review will provide perspectives on mitochondrial-targeted therapeutics in cardiovascular diseases.

Self-Regulated Particle Swarm Multi-Task Optimization

Population based search techniques have been developed and applied to wide applications for their good performance, such as the optimization of the unmanned aerial vehicle (UAV) path planning problems. However, the search for optimal solutions for an optimization problem is usually expensive. For example, the UAV problem is a large-scale optimization problem with many constraints, which makes it hard to get exact solutions. Especially, it will be time-consuming when multiple UAV problems are waiting to be optimized at the same time. Evolutionary multi-task optimization (EMTO) studies the problem of utilizing the population-based characteristics of evolutionary computation techniques to optimize multiple optimization problems simultaneously, for the purpose of further improving the overall performance of resolving all these problems. EMTO has great potential in solving real-world problems more efficiently. Therefore, in this paper, we develop a novel EMTO algorithm using a classical PSO algorithm, in which the developed knowledge transfer strategy achieves knowledge transfer between task by synthesizing the transferred knowledges from a selected set of component tasks during the updating of the velocities of population. Two knowledge transfer strategies are developed along with two versions of the proposed algorithm. The proposed algorithm is compared with the multifactorial PSO algorithm, the SREMTO algorithm, the popular multifactorial evolutionary algorithm and a classical PSO algorithm on nine popular single-objective MTO problems and six five-task MTO problems, which demonstrates its superiority.

Graphene Transfer: A Physical Perspective

Graphene, synthesized either epitaxially on silicon carbide or via chemical vapor deposition (CVD) on a transition metal, is gathering an increasing amount of interest from industrial and commercial ventures due to its remarkable electronic, mechanical, and thermal properties, as well as the ease with which it can be incorporated into devices. To exploit these superlative properties, it is generally necessary to transfer graphene from its conductive growth substrate to a more appropriate target substrate. In this review, we analyze the literature describing graphene transfer methods developed over the last decade. We present a simple physical model of the adhesion of graphene to its substrate, and we use this model to organize the various graphene transfer techniques by how they tackle the problem of modulating the adhesion energy between graphene and its substrate. We consider the challenges inherent in both delamination of graphene from its original substrate as well as relamination of graphene onto its target substrate, and we show how our simple model can rationalize various transfer strategies to mitigate these challenges and overcome the introduction of impurities and defects into the graphene. Our analysis of graphene transfer strategies concludes with a suggestion of possible future directions for the field.

Optimizing nerve transfer surgery in tetraplegia: clinical decision making based on innervation patterns in spinal cord injury

OBJECTIVE Nerve transfers are increasingly being utilized in the treatment of chronic tetraplegia, with increasing literature describing significant improvements in sensorimotor function up to years after injury. However, despite technical advances, clinical outcomes remain heterogenous. Preoperative electrodiagnostic testing is the most direct measure of nerve health and may provide prognostic information that can optimize preoperative patient selection. The objective of this study in patients with spinal cord injury (SCI) was to determine various zones of injury (ZOIs) via electrodiagnostic assessment (EDX) to predict motor outcomes after nerve transfers in tetraplegia. METHODS This retrospective review of prospectively collected data included all patients with tetraplegia from cervical SCI who underwent nerve transfer at the authors’ institution between 2013 and 2020. Preoperative demographic data, results of EDX, operative details, and postoperative motor outcomes were extracted. EDX was standardized into grades that describe donor and recipient nerves. Five zones of SCI were defined. Motor outcomes were then compared based on various zones of innervation. RESULTS Nineteen tetraplegic patients were identified who underwent 52 nerve transfers targeting hand function, and 75% of these nerve transfers were performed more than 1 year postinjury, with a median interval to surgery following SCI of 24 (range 8–142) months. Normal recipient compound muscle action potential and isolated upper motor neuron injury on electromyography (EMG) were associated with greater motor recovery. When nerve transfers were stratified based on donor EMG, greater motor gains were associated with normal than with abnormal donor EMG motor unit recruitment patterns. When nerve transfers were separated based on donor and recipient nerves, normal flexor donors were more crucial than normal extensor donors in powering their respective flexor recipients. CONCLUSIONS This study elucidates the relationship of the preoperative innervation zones in SCI patients to final motor outcomes. EDX studies can be used to tailor surgical therapies for nerve transfers in patients with tetraplegia. The authors propose an algorithm for optimizing nerve transfer strategies in tetraplegia, whereby understanding the ZOI and grade of the donor/recipient nerve is critical to predicting motor outcomes.

Use and effectiveness of policy briefs as a knowledge transfer tool: a scoping review

There is a significant gap between researchers’ production of evidence and its use by policymakers. Several knowledge transfer strategies have emerged in the past years to promote the use of research. One of those strategies is the policy brief; a short document synthesizing the results of one or multiple studies. This scoping study aims to identify the use and effectiveness of policy briefs as a knowledge transfer strategy. Twenty-two empirical articles were identified, spanning 35 countries. Results show that policy briefs are considered generally useful, credible and easy to understand. The type of audience is an essential component to consider when writing a policy brief. Introducing a policy brief sooner rather than later might have a bigger impact since it is more effective in creating a belief rather than changing one. The credibility of the policy brief’s author is also a factor taken into consideration by decision-makers. Further research needs to be done to evaluate the various forms of uses of policy briefs by decision-makers.

Does the Land Price Subsidy Still Exist against the Background of Market Reform of Industrial Land?

In 2007, China started the market reform of industrial land, with the aim of establishing a more effective industrial land market and promoting the effective allocation of land. For this study, we want to explore what strategic choices local governments and enterprises will make under the background of market-oriented reform, and whether there are still some implicit land price subsidies. In this context, based on matching micro land transfer data (2007–2013), we examined the policy effect in the seven years since the reform. Then, we further analyzed the land transfer strategies of local governments and the differences they made to enterprises’ land purchasing decisions against the background of the reform. The following were found: ① With the deepening of market reform, the effect has gradually become clear. The proportion of industrial land transferred through market modes increases year by year. Furthermore, due to marketization, the price of industrial land has increased significantly, and land purchases among enterprises have become more competitive. ② Against the background of the reform, local governments tend to adopt listing as an alternative to negotiation, so as to attract investment from preferred enterprises. ③ Local governments tend to give state-owned and large or medium enterprises more subsidies by way of listing, which reduces the land purchase price for these enterprises. Based on the results, the market-oriented reform of land should be adhered to, and the selection mechanism of tender, auction, and listing transfer methods should be further standardized and refined. Besides, a variety of ways to meet the needs of enterprises for land use (such as lease first and then transfer) should be proposed to compensate for the existing insufficiency.