Se analiza la labor de los ingenieros militares como agentes locales para la resolución de los conflictos globales que afectaron al Caribe español durante el siglo XVIII. Además, se examina su integración en los circuitos de traslación del conocimiento conformados en torno a las principales ciudades caribeñas pertenecientes al Imperio español, y su participación en la transferencia de una cultura materializada en ideas, instituciones e instrumentos. El análisis de estos traslados supone una temática novedosa que permite entender la adaptación de un conocimiento técnico promovido por los ingenieros en su arquitectura, el cual sería determinante en la constitución de una determinada imagen del poder imperial al otro lado del Atlántico.

Since its inception, the Common European Framework of Reference (CEFR) has become increasingly influential in the field of second language (L2) education. In an effort to define the grammatical structures that English learners acquire at each CEFR level, the English Grammar Profile (EGP) provides a list of over 1,200 structure-level mappings derived from largely manual analysis of learner corpora. Though highly valuable for the design of didactic materials and examinations, the EGP lacks comprehensive quantitative methods to verify the acquisition levels it proposes for the grammatical structures. This paper presents an approach for revisiting the EGP structure-level mappings with empirical statistics. The approach utilizes automatic grammatical construction extraction, a large learner corpus, and statistical testing to empirically determine the level of each structure. The structure-level mappings resulting from our approach show limited agreement with that of the original EGP proposals, suggesting that frequency data alone does not provide enough evidence for the acquisition of the grammatical structures at the levels presented by the EGP.

This paper argues that security cooperation among neighbouring countries in the Global South is often hampered by domestic instability and fragmented territorial control resulting from state failures. Geographical proximity, characterised by porous borders and high levels of cross-border human mobility, directly impacts the security of neighbouring states. This creates a dilemma for security cooperation when one state lacks the capacity for effective governance. Empirically, the paper examines the evolution of Thailand’s security relations with Myanmar over recent decades, highlighting the profound impact of Myanmar’s political instability on Thailand. It analyses how the 2021 military coup and the subsequent collapse of Myanmar’s domestic political order have shaped Thailand’s securitisation of non-traditional security threats. By focusing on issues such as irregular migration, public health issues, drug trafficking, and transboundary pollution, the paper explores how these challenges have been securitised in Thailand and how they have complicated security cooperation between the two countries. The paper contends that the limited territorial control and legitimacy of Myanmar’s military government have significantly hindered Thailand’s ability to address its security concerns effectively. It further calls for security cooperation in the Global South beyond the conventional state-to-state level.

The interaction of helminth infections with type 2 diabetes (T2D) has been a major area of research in the past few years. This paper, therefore, focuses on the systematic review of the effects of helminthic infections on metabolism and immune regulation related to T2D, with mechanisms through which both direct and indirect effects are mediated. Specifically, the possible therapeutic role of helminths in T2D management, probably mediated through the modulation of host metabolic pathways and immune responses, is of special interest. This paper discusses the current possibilities for translating helminth therapy from basic laboratory research to clinical application, as well as existing and future challenges. Although preliminary studies suggest the potential for helminth therapy for T2D patients, their safety and efficacy still need to be confirmed by larger-scale clinical studies.

Transformer-based large language models are receiving considerable attention because of their ability to analyse scientific literature. Small language models (SLMs), however, also have potential in this area as they have smaller compute footprints and allow users to keep data in-house. Here, we quantitatively evaluate the ability of SLMs to: (i) score references according to project-specific relevance and (ii) extract and structuring data from unstructured sources (scientific abstracts). By comparing SLMs’ outputs against those of a human on hundreds of abstracts, we found that (i) SLMs can effectively filter literature and extract structured information relatively accurately (error rates as low as 10%), but not with perfect yield (as low as 50% in some cases), (ii) that there are tradeoffs between accuracy, model size and computing requirements and (iii) that clearly written abstracts are needed to support accurate data extraction. We recommend advanced prompt engineering techniques, full-text resources and model distillation as future directions.

We describe two new species of green algae in Dasycladales from Lower Cretaceous strata of the Eastern Carpathians (Romania), Suppiluliumaella schlagintweitii n. sp. and Triploporella loducai n. sp. The two new species display mineralization that coats most of the thallus, possibly casting light on their growth patterns. Suppiluliumaella schlagintweitii n. sp. displays a differentiated, club-shaped thallus with a very elongated vegetative part below the fertile zone (“head”) and a corticated external layer, suggesting a Neomeris type of growth. We further describe a possible mineralized juvenile growth stage. Triploporella loducai n. sp. is characterized by a rather short cylindrical thallus with a reduced vegetative region (sharp tapering rounded lower end), seemingly following a growth type resembling that of spherical Bornetella.

A family of arbitrarily high-order energy-preserving methods are developed to solve the coupled Schrödinger–Boussinesq (S-B) system. The system is a nonlinear coupled system and satisfies a series of conservation laws. It is often difficult to construct a high-order decoupling numerical algorithm to solve the nonlinear system. In this paper, the original system is first reformulated into an equivalent Hamiltonian system by introducing multiple auxiliary variables. Next, the reformulated system is discretized by the Fourier pseudo-spectral method and the implicit midpoint scheme in the spatial and temporal directions, respectively, and a second-order conservative scheme is obtained. Finally, the scheme is extended to arbitrarily high-order accuracy by means of diagonally implicit symplectic Runge–Kutta methods or composition methods. Rigorous analyses show that the proposed methods are fully decoupled and can precisely conserve the discrete invariants. Numerical results show that the proposed schemes are effective and can be easily extended to other nonlinear partial differential equations.

We investigate and compare the evolution of two aspects of culture, languages and weaving technologies, amongst the Kra-Dai (Tai-Kadai) peoples of southwest China and southeast Asia, using Bayesian Markov-Chain Monte Carlo methods to uncover phylogenies. The results show that languages and looms evolved in related but different ways, and bring some new insights into the diaspora of the Kra-Dai speakers across southeast Asia. We found that the languages and looms used by Hlai speakers of Hainan are outgroups in both linguistic and loom phylogenies, and that the looms used by speakers of closely related languages tend to belong to similar types. However, we also found discrepancies at a deep level between linguistic subgroups and loom types, in particular among widely dispersed South-Western Tai speakers, and we discuss possible reasons for this.

This article traces the unique set of factors that allowed mid-nineteenth-century coeducation at a medical college traditionally reserved for men. I argue that in the period 1850-1856, a window of opportunity offered a small group of women the chance to pursue medical education at the traditionally all-male regular Cleveland Medical College, at a time when medical training was inaccessible to women. A unique confluence of factors inspired this development, including a temporary fluidity of standards in medical training and practice, rising prospects for women’s access to higher education, the rapidly changing Cleveland urban environment and its progressive women’s network, and the College’s internal dynamics. The female graduates of the Cleveland Medical College joined a pioneer generation of women physicians in the mid-nineteenth-century US who chipped away at long-standing barriers limiting the role of women in medicine.

Globally, gender equality is the next frontier for social transformation, and women’s economic empowerment is promoted as the pathway to achieve this goal, particularly in countries of the Global South. Women’s economic empowerment is broadly defined as women’s capacity to contribute to, and benefit from, economic activities on terms that recognise the value of their contributions. Advocates for women’s economic empowerment state that it has the potential to be a safeguard against poverty and precarity by enhancing women’s wellbeing. Using a critical-feminist lens, we explore the benefits and risks of the global trend towards women’s economic empowerment. After providing an overview of the evolution of the concept of empowerment, we review the benefits of women’s economic empowerment: economic growth, improved rates of tertiary education and market participation for women, and growth of women’s autonomy. We then examine the risks of the global focus on women’s economic empowerment, which we distil into three key areas: (a) women seen as a country’s ‘natural resource’, used as instruments for economic prosperity and reproduction without considering their wellbeing; (b) a focus on women’s market participation without adequately factoring in current labour market realities; and (c) pushing the women’s economic empowerment agenda forward without fully considering the scope of unpaid reproductive work undertaken by women. We conclude with an analysis of how UN Women (2024) is shifting the agenda by providing a holistic framework for thinking about women’s economic empowerment. We suggest that there is room for cautious optimism if this framework is widely adopted.

As social and educational landscapes continue to change, especially around issues of inclusivity, there is an urgent need to reexamine how individuals from diverse linguistic backgrounds are perceived. Speakers are often misjudged due to listeners’ stereotypes about their social identities, resulting in biased language judgments that can limit educational and professional opportunities. Much research has demonstrated listeners’ biases toward L2-accented speech, i.e., perceiving accented utterances as less credible, less grammatical, or less acceptable for certain professional positions, due to their bias and stereotyping issues. Then, artificial intelligence (AI) technology has emerged as a viable alternative to mitigate listeners’ biased judgments. It serves as a tool for assessing L2-accented speech as well as establishing intelligibility thresholds for accented speech. It is also used to assess characteristics such as gender, age, and mood in AI facial-analysis systems. However, these AI systems or current technologies still may hold racial or accent biases. Accordingly, the current paper will discuss both human listeners’ and AI’ bias issues toward L2 speech, illustrating such phenomena in various contexts. It concludes with specific recommendations and future directions for research and pedagogical practices.