The integration of computational methods into psychiatry presents profound ethical challenges that extend beyond existing guidelines for AI and healthcare. While precision medicine and digital mental health tools offer transformative potential, they also raise concerns about privacy, algorithmic bias, transparency, and the erosion of clinical judgment. This article introduces the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework, developed through a conceptual synthesis of 83 studies. The framework comprises five procedural stages – Identification, Analysis, Decision-making, Implementation, and Review – each informed by six core ethical values – beneficence, autonomy, justice, privacy, transparency, and scientific integrity. By systematically addressing ethical dilemmas inherent in computational psychiatry, the IEACP provides clinicians, researchers, and policymakers with structured decision-making processes that support patient-centered, culturally sensitive, and equitable AI implementation. Through case studies, we demonstrate framework adaptability to real-world applications, underscoring the necessity of ethical innovation alongside technological progress in psychiatric care.

Contact tracing is an effective public health policy to put the fast-spreading epidemic under control. The government tracks the contacts of confirmed SARS-CoV-2 cases, recommends testing, encourages self-quarantine, and monitors symptoms of contacts. In developing and less-developed countries with limited resources for widespread SARS-CoV-2 testing, it remains essential to identify and quarantine positive contacts to control outbreaks. Therefore, analysing recall and precision when implementing testing policies for these contacts is necessary. We analysed a contact tracing dataset from a cohort of 827 index patients infected with SARS-CoV-2 and their 14814 close contacts from Jan 2020 to July 2020 in a province in eastern China. We constructed a network from the data and used a Graph Convolutional Network to predict each contact’s infection status. To the best of our knowledge, this is the first method to use population-based contact tracing data for predicting the infection status using graph neural networks. Despite limited information, our model achieves competitive Area Under the Receiver Operating Characteristic Curve (ROC AUC) compared to hospital-onset scenarios. Based on the risk scores, we propose several contact testing policy adaptations that balance resource efficiency and effective pandemic control.

A novel entomopathogenic nematode (EPN) species, Steinernema tarimense n. sp., was isolated from soil samples collected in a Populus euphratica forest located in Yuli County within the Tarim Basin of Xinjiang, China. Integrated morphological and molecular analyses consistently place S. tarimense n. sp. within the ‘kushidai-clade’. The infective juvenile (IJ) of new species is characterized by a body length of 674–1010 μm, excretory pore located 53–80 μm from anterior end, nerve ring positioned 85–131 μm from anterior end, pharynx base situated 111–162 μm from anterior end, a tail length of 41–56 μm, and the ratios D% = 42.0–66.6, E% = 116.2–184.4, and H% = 25.5–45.1. The first-generation male of the new species is characterized by a curved spicule length of 61–89 μm, gubernaculum length of 41–58 μm, and ratios D% = 36.8–66.2, SW% = 117.0–206.1, and GS% = 54.8–82.0. Additionally, the tail of first-generation female is conoid with a minute mucron. Phylogenetic analyses of ITS, 28S, and mt12S sequences demonstrated that the three isolates of S. tarimense n. sp. are conspecific and form a sister clade to members of the ‘kushidai-clade’ including S. akhursti, S. anantnagense, S. kushidai, and S. populi. Notably, the IJs of the new species exhibited faster development at 25°C compared to other Steinernema species. This represents the first described of an indigenous EPN species from Xinjiang, suggesting its potential as a novel biocontrol agent against local pests.

Recent developments in artificial intelligence (AI) in general, and Generative AI (GenAI) in particular, have brought about changes across the academy. In applied linguistics, a growing body of work is emerging dedicated to testing and evaluating the use of AI in a range of subfields, spanning language education, sociolinguistics, translation studies, corpus linguistics, and discourse studies, inter alia. This paper explores the impact of AI on applied linguistics, reflecting on the alignment of contemporary AI research with the epistemological, ontological, and ethical traditions of applied linguistics. Through this critical appraisal, we identify areas of misalignment regarding perspectives on knowing, being, and evaluating research practices. The question of alignment guides our discussion as we address the potential affordances of AI and GenAI for applied linguistics as well as some of the challenges that we face when employing AI and GenAI as part of applied linguistics research processes. The goal of this paper is to attempt to align perspectives in these disparate fields and forge a fruitful way ahead for further critical interrogation and integration of AI and GenAI into applied linguistics.

The fortified line known as the ‘Iron Belt’, a significant feature of the Spanish Civil War, was used for propaganda by both sides: the Republicans had blind faith in its ‘resistance’, while the Francoists emphasized its ‘invincibility’ when publicizing its conquest. The myth of the Iron Belt’s impenetrability, which has deeply permeated society, is being challenged by recent archaeological studies that explore this fortified line within the emerging context of Spanish Civil War archaeology. This article presents findings from archaeological interventions in four sectors along this line: Somorrostro, Muskiz, Mount Avril, and Mount Ollargan. Results show the lack of preparation of the Basque Army: the ammunition and the structures unearthed show that it was impossible to defend the line against the military power of the Francoists and air warfare. Today, the Iron Belt endures as a contested and fragile heritage landscape, illustrating how conflict heritage encapsulates societal tensions and unresolved historical legacies.

Recent digital developments provide new opportunities for entrepreneurs to market and present themselves. For solo entrepreneurs, where the business and entrepreneur coincide, self-presentation strategies on social media may be particularly relevant. Using regression analysis, we investigate the personal and business-related characteristics of solo entrepreneurs who typically rely heavily on social media for self-presentation. Data are used from a unique survey conducted among solo entrepreneurs in Austria. At the conceptual level, the impression management theory of Goffman from the 1950s creates the theoretical background, and our paper links three fields of research: social media use, impression management, and aspects relating to solo self-employment. The empirical analysis reveals that the typical solo entrepreneur who attaches great importance to social media use for self-presentation purposes is a female entrepreneur running a young business (younger than 5 years) in the retail industry, with good mental health but relatively poor financial health.

Recently, there have been discussions about the shape of the heliopause. Some scientists question the classical form, which is close to a paraboloid. They suggest that the heliopause may have a two-jet collimated shape. While we disagree with this view of the heliopause shape, it seems likely that for stars with stronger stellar magnetic fields and those that are at rest or moving slowly through the interstellar medium, the astropause will have a two-jet collimated shape. This paper raises the question of the stability of the two-jet collimated astrosphere. Recent studies have noted the emergence of instability in the heliosheath near the axis of the heliospheric jets, linking this to the action of neutral hydrogen atoms. We note in this paper that astrospheric jets can become unstable in the presence of strong magnetic fields, even without the influence of atoms, which is unexpected. Furthermore, due to a feedback mechanism, astrospheric jets undergo self-oscillation. We investigated the development of this instability, the nature of the feedback mechanism, and the period of self-oscillation for different system parameters. Our findings provide valuable insights into the behaviour of these unique plasma structures, and they are another step towards studying the stability of two-jet collimated astrospheres.

The alfalfa weevil Hypera postica Gyllenhal (Coleoptera: Curculionidae) is one of the most destructive alfalfa pests in the world, resulting in substantial economic losses. However, the amount of damage can be reduced by larval parasitoids of the genus Bathyplectes Förster (Hymenoptera: Ichneumonidae) as a conservation biological control strategy. Parasitoids are currently identified by morphological body characteristics, cocoon morphology, and/or DNA analysis, but geometric morphometrics (GM) applied to the wing vein arrangement may also reveal differences between specimens. We distinguished 61 B. anurus (Thomson) and 41 B. curculionis (Thomson) specimens, based on the appearance of the cocoon. GM revealed statistically significant differences in wing vein patterns and fore wing shapes between species, but not between sexes within the same species. The 1 M + 1R1 cell, also known as the horsehead cell, was revealed to be an easy and reliable morphological character for species differentiation. Despite the New World literature, this is the first European report providing a visual method to differentiate B. anurus from B. curculionis. This study highlights the importance of precise species identification methods, such as geometric morphometry. It can contribute to a better implementation of biological control strategies against the alfalfa weevil in Spain and other Mediterranean countries.

Finger weeders were first developed in the 1950s and have since been widely adopted by farmers to improve physical weed control (PWC) within crop rows. Research on finger weeders has largely been comparative, with most studies identifying a top-performing weed control practice among various physical or chemical treatments. Weeding tool performance, however, is often highly variable, affected by tool design and adjustment, soil conditions, and both weed and crop species and size. Finger weeder operating settings have not been systematically tested to determine whether they could optimize tool performance. In this project, field and soil bin experiments examined the effects of finger weeder angle, spacing, and speed on weed control efficacy and weed/crop selectivity. Three finger weeder angles were tested: 108°, which removed soil near the crop; 90°, typical for most commercial tools; and 68°, which moved soil into the crop row. Three spacings and speeds were compared: fingers overlapping (−0.6 cm), touching (0 cm), or spaced apart (2.5 cm); and 4, 7, and 9 km h−1. In both the field and soil bin, finger weeders set at a 68° angle resulted in the greatest efficacy. Decreasing finger spacing and increasing speed improved efficacy in soil bin experiments, as expected, but spacing and speed effects were not detected in the field. The experimental soil bin system shows promise for PWC testing, possibly offering insights that could not be detected in more variable field conditions.

In this work, we demonstrate the generation of high-performance tunable Raman solitons beyond 3 μm in a 10 cm, large-core (40 μm) fluorotellurite fiber. The pump source is a high-peak-power Raman soliton generated through soliton fission in a silica fiber. By further cascading the 10 cm highly nonlinear fluorotellurite fiber, this Raman soliton undergoes successive high-order soliton fission and soliton self-frequency shift with a tunable range of 2.7–3.3 μm. Such an ultra-short-length and ultra-large-core fiber significantly reduces the pulse width of the 3.3 μm Raman soliton to 55 fs, doubling the peak power to 2.3 MW compared to previous studies. Furthermore, owing to the seed’s high-repetition-frequency feature, the 3.3 μm Raman soliton’s power exceeds 2 W. These performance metrics represent the highest levels achieved for Raman solitons at wavelengths above 3 μm, offering a simple and effective new approach for generating high-peak-power femtosecond pulses in the mid-infrared spectral region.