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Recent advancements in data science and artificial intelligence have significantly transformed plant sciences, particularly through the integration of image recognition and deep learning technologies. These innovations have profoundly impacted various aspects of plant research, including species identification, disease detection, cellular signaling analysis, and growth monitoring. This review summarizes the latest computational tools and methodologies used in these areas. We emphasize the importance of data acquisition and preprocessing, discussing techniques such as high-resolution imaging and unmanned aerial vehicle (UAV) photography, along with image enhancement methods like cropping and scaling. Additionally, we review feature extraction techniques like colour histograms and texture analysis, which are essential for plant identification and health assessment. Finally, we discuss emerging trends, challenges, and future directions, offering insights into the applications of these technologies in advancing plant science research and practical implementations.
In turbulent pipe flows, drag-reducing polymers are commonly used to reduce skin-friction drag; however, predicting this reduction in industry applications, such as crude oil pipelines, remains challenging. The skin-friction coefficient ($C_f$) of polymer drag-reduced turbulent pipe flows can be related to three dimensionless parameters: the solvent Reynolds number ($Re_s$), the Weissenberg number ($Wi$) and the ratio of solvent viscosity ($\eta _s$) to zero-shear-rate viscosity ($\eta _0$), denoted as $\beta$. The function that relates these four dimensionless numbers was determined using experiments of various pipe diameters ($D$), flow velocities ($U$) and drag-reducing polyacrylamide solutions. The experiments included measurements of streamwise pressure drop ($\Delta P$) for determining $C_f$, and measurements of shear viscosity ($\eta$) and elastic relaxation time ($\lambda$). This experimental campaign involved 156 flow conditions, each characterised by distinct values for $C_f$, $Re_s$, $Wi$ and $\beta$. Experimental results demonstrated good agreement with the relationship: $C_f^{-1/2} = \widehat {A}\log _{10}(Re_sC_f^{1/2})+\widehat {B}$, where $\widehat {A} = 27.6(Wi \beta )^{0.346}$ and $\widehat {B} = 122/15-58.9(Wi \beta )^{0.346}$. Based on this relationship, onset and maximum drag reduction are predicted to occur when $Wi \beta$ equals $3.76 \times 10^{-3}$ and $3.40 \times 10^{-1}$, respectively. This function can predict $C_f$ of dilute polyacrylamide solutions based on predefined parameters (bulk velocity, pipe diameter, density, solvent viscosity) and two measurable rheological properties of the solution (shear viscosity and elastic relaxation time) with an accuracy of $\pm 9.36$ %.
Drawing on ethnographic research from Amami Ōshima, southern Japan, this paper documents the ways in which contemporary societies, from the hamlet to the nation state, are wrestling with opposing forces of environmental and economic sustainability and discusses the fractures this creates for people and ecosystems. It uses as a case study the protest to stop the construction of a seawall being built in Katoku, an ocean hamlet in Amami, based within the buffer zone of the island’s United Nations Educational, Scientific and Cultural Organization (UNESCO) World Natural Heritage Site. Rather than being built with the primary aim to protect “people and property,” I suggest this infrastructural intervention is a symbolic declaration of risk management and repository of huge economic value for the island and prefecture. The background to the paper is the return of a cache of color photographs taken by an American anthropologist in the 1950s and the 70th anniversary of the reversion of Amami in 1953 from US military to Japanese control. The paper considers the contemporary ramifications of policy instituted in the post-World War II period, that has sought to maximize the potential of “remote” areas and continues to favor growth and development at the expense of the health of multispecies island communities.
A number of philosophers have recently argued that there is such a thing as ‘epistemic blame’: blame targeted at epistemic norm violations qua epistemic norm violations. However, Smartt (2024) and Matheson and Milam (2022) have recently provided several arguments in favour of thinking epistemic blame either doesn’t exist or is never justified. This paper argues that these challenges are unsuccessful and along the way evaluates the prospects for various accounts of epistemic blame. It also reflects on the dialectic between sceptics and realists about epistemic blame and what choice points are available for moving the debate forward.
El agente topo. Directed by Maite Alberdi. Produced by Micromundo Producciones, Motto Pictures, and Sutor Kolonko. Chile, 2020, 84 min. Distributed by Micromundo Producciones, Mandra Films, and Volya Films.
La memoria infinita. Directed by Maite Alberdi. Produced by Micromundo Producciones. Chile, 2023, 85 min. Distributed by Micromundo Producciones, Mandra Films, and Volya Films.
Los niños. Directed by Maite Alberdi. Produced by Micromundo Producciones, Mandra Films, and Volya Films. Chile, 2016, 82 min. Distributed by Micromundo Producciones, Mandra Films, and Volya Films.
Aircraft maintenance is a multifaceted process that requires highly skilled, qualified and experienced personnel. Effective maintenance processes optimise aircraft operational lifespan, minimise lifecycle costs and improve reliability by reducing the probability of unexpected maintenance events. The initial diagnostic phase relies on detailed visual inspections conducted by certified technicians. Following inspections, data assessment leads to the development of a comprehensive maintenance plan, along with the sourcing of necessary resources and spare parts. As the maintenance, repair and overhaul (MRO) sector transitions into the era of Industry 4.0, there is a growing emphasis on integrating data analytics and cyber-physical systems into maintenance practices. A key objective in this evolution is the adoption of robotic systems for inspection tasks. This shift requires the reconfiguration of formal inspection procedures to ensure compatibility with robotic operations. Moreover, it is critical to address the specific requirements of robotics and to incorporate smart hangar technologies that take advantage of real-time data to improve both efficiency and effectiveness in maintenance operations. This study provides a comprehensive review of the MRO landscape and maintenance checks, with a particular focus on robotic aircraft inspection systems, navigation and smart hangar infrastructure. The discussion concludes with an examination of defect detection methods using machine vision along with relevant metrics to compare with human performance.
This report investigates excess frame count during radiotherapy sessions using Elekta Versa HD systems with X-ray Volume Imaging (XVI) technology at Singleton Hospital. The hospital has 4 clinical linear accelerators (linacs) with XVI, which were analysed to identity variations in the number of excess frames between machines and imaging protocols. Such deviations could affect imaging dose accuracy, patient safety, and system efficiency.
Method:
XVI log files were gathered from each linac over an 18-month period using data backups. A Python script was created to read and link all the required data in a simple format to generate histograms and tables.
Results:
The excessive frames resulted in increased radiation doses. Although individual doses were negligible, the highest excess dose for a single patient was 0.7 mSv in 1 fraction, leading to a total dose of 3.4 mSv instead of the expected 2.7 mSv scans which is equivalent to 3 months of background radiation extra. The study revealed that 1.7 % of all imaging sessions were affected (417 imaging fractions). It was identified that the ‘Fast’ Breast imaging protocols were more likely to generate excess frames, likely to be due to the increased gantry speed.
Conclusion:
Despite the small individual doses, the findings raise concerns about system performance and patient safety for imaging, emphasising the need for further investigation to ensure optimal treatment accuracy and compliance with the Ionising Radiation (Medical Exposure) (Amendment) 2024), Regulation 11 and 12.
Calls to defund the police gained prominence with the Black Lives Matter (BLM) movement and take various forms. Depending on what will be defunded, the idea has attracted support from different parts of the political spectrum. The politicized nature of the debate often cuts short reflection on how best to assess proposals to defund the police. This article takes up that task. It begins by developing a typology of defund measures: abolitionist cuts, abolitionist reallocation, disaggregative cuts, and disaggregative reallocation. It then outlines a framework to evaluate policing and defund measures, drawing on criteria from the ethics of defensive force. Since policing relies on force, it faces a high justificatory bar and must satisfy the principles of just aim, proportionality, and necessity. The state should not fund unjustified forms of policing that violate those principles. Different violations, though, demand different policy responses.
Methamphetamine (METH) dependence is a globally significant public health concern with no efficacious treatment. Trait impulsivity is associated with the initiation, maintenance, and recurrence of substance abuse. However, the presence of these associations in METH addiction, as well as the underlying neurobiological mechanisms, remains incompletely understood.
Methods
We scanned 110 individuals with METH use disorder (MUDs) and 55 matched healthy controls (HCs) using T1-weighted imaging and assessed their drug use characteristics and trait impulsivity. Surface-based morphometry and graph theoretical analysis were used to investigate group differences in brain morphometry and network attributes. Partial correlations were conducted to investigate the relationships between brain morphometric changes, drug use parameters, and trait impulsivity. Mediation analyses examined how trait impulsivity and drug craving influenced the link between brain morphometric change and MUD severity in patients.
Results
MUDs exhibited thinner thickness in the left fusiform gyrus and right pars opercularis, as well as diminished small-world properties in their structural covariance networks (SCNs) compared to HCs. Furthermore, reduced cortical thickness in the right pars opercularis was linked to motor impulsivity (MI) and MUD severity, and the association between the right pars opercularis thickness and MUD severity was significantly mediated by both MI and cue-induced craving.
Conclusions
These findings suggest that MUDs exhibit distinct brain structural abnormalities in both the cortical thickness and SCNs and highlight the critical role of impulse control in METH addiction. This insight may offer a potential neurobiological target for developing therapeutic interventions to treat addiction and prevent relapse.
The aim of the present scoping review is to provide a comprehensive description and classification of the published research studies on education and training of paramedics and paramedic students in the context of disaster management with emphasis on educational/training techniques and their efficacy and the recent trends in this evolving field. The review is also designed to identify the main research gaps and to suggest recommendations for future research plans.
Methods
PubMed, Web of Science Core Collection, Scopus, Google Scholar, and ProQuest Dissertations and Theses were searched. Studies were included in the final analysis if they studied any aspect of paramedics or paramedic students’ education or training in the context of disaster management.
Results
Forty-three studies fulfilled the selection criteria. Three themes were identified: 1) Conventional disaster education/training techniques; 2) Smart technology-based disaster education/training techniques; and 3) Development of and/or assessment of disaster education/training courses, programs, packages, or curricula.
Conclusions
While disaster triage training is the focus of many studies, a new trend is emerging that integrates smart technology into educational and training programs. Also, there is increasing international interest in developing disaster training programs and curricula.
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.
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 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 spread 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 differences at a deep level both in the details of the evolution of looms and languages and in their overall patterns of change, 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.