COMPLEX DYNAMIC SYSTEMS THEORY IN LANGUAGE LEARNING

A quarter of a century has passed since complex dynamic systems theory was proposed as an alternative paradigm to rethink and reexamine some of the main questions and phenomena in applied linguistics and language learning. In this article, we report a scoping review of the heterogenous body of research adopting this framework. We analyzed 158 reports satisfying our inclusion criteria (89 journal articles and 69 dissertations) for methodological characteristics and substantive contributions. We first highlight methodological trends in the report pool using a framework for dynamic method integration at the levels of study aim, unit of analysis, and choice of method. We then survey the main substantive contribution this body of research has made to the field. Finally, examination of study quality in these reports revealed a number of potential areas of improvement. We synthesize these insights in what we call the “nine tenets” of complex dynamic systems theory research, which we hope will help enhance the methodological rigor and the substantive contribution of future research.

Multi-Parametric Imaging of Etruscan Chamber Tombs: Grotte Di Castro Case Study (Italy)

A multi-parametric approach that involves the use of different geophysical methods coupled with geochemical data allowed us to identify undiscovered archeological burials in a funerary area of the Grotte di Castro Etruscan settlement. In particular, we tested the suitability of the capacitive resistivity method and the presence of Radon in soil for the identification of burials calibrating their outcomes over coincident survey profiles with standard geophysical techniques routinely applied for archaeological prospections. Soil Radon data were acquired both in a grid and along a profile to highlight anomalous gas concentrations, whereas electrical resistivity and ground-penetrating radar measurements were conducted on overlapping profiles to depict the electrical and electromagnetic subsurface distribution. Data integration showed a series of anomalies, suggesting the presence of multiple burials starting from a depth of approximately 1.5 m below the terrain surface. Slight anomalies of Radon in the soil were found to correspond to most of the recovered geophysical ones. Our results pointed out the effectiveness of geophysical method integration in archeological prospecting with the novelty of the joint use of Radon in soil measurements and capacitive resistivity tomography. The latter provided reliable results and can be considered as a standalone technique in archaeological surveys.

Research on the process planning and multi-method integration strategy of product conceptual design with cognitive mechanisms

Innovative product design is essentially an activity involving creative cognitive thinking. Therefore, research on the innovative design process and of methods, computer-aided innovation tools should be conducted based on systematic exploration based on the principles of innovative cognitive thinking. We aim to uncover some general principles that can serve as a systematic thinking framework for product designers, provide a feasible framework and method of innovative thinking for designers, and provide theoretical and methodological support for further development of computer-aided innovation platforms. This paper summarizes the sources and content of studies on the idea generation and design processes behind product innovation. Specifically, we break down the general innovative design process of products, outlining the cognitive mechanisms and propose an integrated application strategy that incorporates multiple methods. And taking “the solution program to the coking of oily sludge pyrolysis equipment” as an example, this paper demonstrated and verified the effectiveness and practicability of the method and strategy proposed. Based on the results on improvements in the equipment, the designers put forward some creative and implementable design schemes. The entire thinking process was relatively smooth and efficient. The example presented in this paper shows that the proposed method can effectively guide/assist/motivate designers to think creatively.

Proton transfer in bulk water using the full adaptive QM/MM method: integration of solute- and solvent-adaptive approaches

The full adaptive approach achieved an accurate and stable molecular dynamics simulation of hydronium ion in bulk.

Proton Transfer in Bulk Water using the Full Adaptive QM/MM Method: Integration of Solute- and Solvent-Adaptive Approaches

<div><div>The quantum mechanical/molecular mechanical (QM/MM) method is a hybrid molecular simulation technique that increases the accessibility of local electronic structures of large systems.</div><div> The technique combines the benefit of accuracy found in the QM method and that of cost efficiency found in the MM method.</div><div> However, it is difficult to directly apply the QM/MM method to the dynamics of solution systems, particularly for proton transfer. </div><div> As explained in the Grotthuss mechanism, proton transfer is a structural interconversion between hydronium ions and solvent water molecules. </div><div> Hence, when the QM/MM method is applied, an adaptive treatment, namely on-the-fly revisions on molecular definitions, is required for both the solute and solvent. </div><div> Although several solvent-adaptive methods have been proposed, a full adaptive framework, which is an approach that also considers adaptation for solutes, remains untapped. In this paper, we propose a new numerical expression for the coordinates of the excess proton and its control algorithm.</div><div> Furthermore, we confirm that this method can stably and accurately simulate proton transfer dynamics in bulk water.</div></div>

Proton Transfer in Bulk Water using the Full Adaptive QM/MM Method: Integration of Solute- and Solvent-Adaptive Approaches

<div><div>The quantum mechanical/molecular mechanical (QM/MM) method is a hybrid molecular simulation technique that increases the accessibility of local electronic structures of large systems.</div><div> The technique combines the benefit of accuracy found in the QM method and that of cost efficiency found in the MM method.</div><div> However, it is difficult to directly apply the QM/MM method to the dynamics of solution systems, particularly for proton transfer. </div><div> As explained in the Grotthuss mechanism, proton transfer is a structural interconversion between hydronium ions and solvent water molecules. </div><div> Hence, when the QM/MM method is applied, an adaptive treatment, namely on-the-fly revisions on molecular definitions, is required for both the solute and solvent. </div><div> Although several solvent-adaptive methods have been proposed, a full adaptive framework, which is an approach that also considers adaptation for solutes, remains untapped. In this paper, we propose a new numerical expression for the coordinates of the excess proton and its control algorithm.</div><div> Furthermore, we confirm that this method can stably and accurately simulate proton transfer dynamics in bulk water.</div></div>

SP3-FAIMS Chemoproteomics for High Coverage Profiling of the Human Cysteinome

<p>We report a new cysteine chemoproteomic method, termed SP3-FAIMS chemoproteomics, which enables rapid and high coverage analysis of the human cysteinome. By combining enhanced cysteine biotinylation with SP3 sample decontamination and FAIMS online fraction, we identified in aggregate 34,225 unique cysteines found on 7,243 proteins. Showcasing the versatility of our method, integration with the isoTOP-ABPP workflow enabled the high throughput discovery of cysteines labelled by electrophilic compounds. </p>

SP3-FAIMS Chemoproteomics for High Coverage Profiling of the Human Cysteinome

<p>We report a new cysteine chemoproteomic method, termed SP3-FAIMS chemoproteomics, which enables rapid and high coverage analysis of the human cysteinome. By combining enhanced cysteine biotinylation with SP3 sample decontamination and FAIMS online fraction, we identified in aggregate 34,225 unique cysteines found on 7,243 proteins. Showcasing the versatility of our method, integration with the isoTOP-ABPP workflow enabled the high throughput discovery of cysteines labelled by electrophilic compounds. </p>