Heath forests, or known locally as kerangas, in Indonesia and Malaysia form a distinct and understudied ecoregion. We document the distribution and ecological significance of the largest extent of kerangas in Kalimantan, Indonesian Borneo. We mapped 16,586 km2 of kerangas to the nearest one square kilometre across Kalimantan, showing a significant reduction from previous estimates. About 19% of this area exists as a poorly documented mosaic landscape in Central Kalimantan’s Rungan-Kahayan region. Here, peat-based forests transition to heath and dipterocarp forests, making it difficult to reliably classify these forests for conservation planning. Using remote sensing and tree plot data, we identified three forest types—kerangas, low pole, and mixed swamp. Vegetation structure is influenced by soil, topography, and hydrology, while peat depth and elevation affect species diversity. Our findings indicate that these forests are dynamic ecosystems with diverse vegetation communities adapted to peat as well as sandy soils. Lowland heath forests in Rungan-Kahayan exhibits higher tree densities compared to other Bornean heath forests, reflecting unique ecological adaptations to challenging environments. Despite covering just 3% of Kalimantan’s forest area, these ecosystems remain largely unprotected, facing threats from land conversion and fire. Our study highlights the ecological complexity of kerangas and underscores the urgent need for targeted conservation and further research on these forests.

Threat sensitivity, an individual difference construct reflecting variation in responsiveness to threats of various types, predicts physiological reactivity to aversive stimuli and shares heritable variance with anxiety disorders in adults. However, no research has been conducted yet with youth to examine the heritability of threat sensitivity or evaluate the role of genetic versus environmental influences in its relations with mental health problems. The current study addressed this gap by evaluating the psychometric properties of a measure of this construct, the 20-item Trait Fear scale (TF-20), and examining its phenotypic and genotypic correlations with different forms of psychopathology in a sample of 346 twin pairs (121 monozygotic), aged 9–14 years. Analyses revealed high internal consistency and test-retest reliability for the TF-20. Evidence was also found for its convergent and discriminant validity in terms of phenotypic and genotypic correlations with measures of fear-related psychopathology. By contrast, the TF-20’s associations with depressive conditions were largely attributable to environmental influences. Extending prior work with adults, current study findings provide support for threat sensitivity as a genetically-influenced liability for phobic fear disorders in youth.

This study evaluated the impact of four cover crop species and their termination timings on cover crop biomass, weed control, and corn yield. A field experiment was arranged in a split-plot design in which cover crop species (wheat, cereal rye, hairy vetch, and rapeseed) were the main plot factor, and termination timings [4, 2, 1, and 0 wk before planting corn (WBP)] was the subplot factor. In both years (2021 and 2022), hairy vetch produced the most biomass (5,021 kg ha–1) among cover crop species, followed by cereal rye (4,387 kg ha–1), wheat (3,876 kg ha–1), and rapeseed (2,575 kg ha–1). Regression analysis of cover crop biomass with accumulated growing degree days (AGDDs) indicated that for every 100 AGDD increase, the biomass of cereal rye, wheat, hairy vetch, and rapeseed increased by 880, 670, 780, and 620 kg ha–1, respectively. The density of grass and small-seeded broadleaf (SSB) weeds at 4 wk after preemergence herbicide (WAPR) application varied significantly across termination timings. The grass and SSB weed densities were 56% and 36% less at 0 WBP compared with 2 WBP, and 67% and 61% less compared with 4 WBP. The sole use of a roller-crimper did not affect the termination of rapeseed at 0 WBP and resulted in the least corn yield (3,046 kg ha–1), whereas several different combinations of cover crops and termination timings resulted in greater corn yield. In conclusion, allowing cover crops to grow longer in the spring offers more biomass for weed suppression and impacts corn yield.

Multiple sclerosis (MS) is characterized by focal inflammatory activity in the central nervous system and a diffuse, compartmentalized inflammation that is the primary driver of neuroaxonal damage and worsening disability. It is now recognized that higher-efficacy disease-modifying therapies (HE-DMT) are often required to treat the complex neuropathological changes that occur during the disease course and improve long-term outcomes. The optimal use of HE-DMTs in practice was addressed by a Canadian panel of 12 MS experts who used the Delphi method to develop 27 consensus recommendations. The HE-DMTs that were considered were the monoclonal antibodies (natalizumab, ocrelizumab, ofatumumab) and the immune reconstitution agents (alemtuzumab, cladribine). The issues addressed included defining aggressive/severe disease, patient selection of the most appropriate candidates for HE-DMTs, baseline investigations and efficacy monitoring, defining suboptimal treatment response, use of serum neurofilament-light chain in evaluating treatment response, safety monitoring, aging and immunosenescence and when to consider de-escalating or discontinuing treatment. The goals of the consensus recommendations were to provide guidelines to clinicians on their use of HE-DMTs in practice and to improve long-term outcomes in persons with MS.

The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data release (DR4) of the Galactic Archaeology with HERMES (GALAH) Survey, based on a decade of observations, provides the chemical abundances of up to 32 elements for 917 588 stars that also have exquisite astrometric data from the Gaia satellite. For the first time, these elements include life-essential nitrogen to complement carbon, and oxygen as well as more measurements of rare-earth elements critical to modern-life electronics, offering unparalleled insights into the chemical composition of the Milky Way. For this release, we use neural networks to simultaneously fit stellar parameters and abundances across the whole wavelength range, leveraging synthetic grids computed with Spectroscopy Made Easy. These grids account for atomic line formation in non-local thermodynamic equilibrium for 14 elements. In a two-iteration process, we first fit stellar labels to all 1 085 520 spectra, then co-add repeated observations and refine these labels using astrometric data from Gaia and 2MASS photometry, improving the accuracy and precision of stellar parameters and abundances. Our validation thoroughly assesses the reliability of spectroscopic measurements and highlights key caveats. GALAH DR4 represents yet another milestone in Galactic archaeology, combining detailed chemical compositions from multiple nucleosynthetic channels with kinematic information and age estimates. The resulting dataset, covering nearly a million stars, opens new avenues for understanding not only the chemical and dynamical history of the Milky Way but also the broader questions of the origin of elements and the evolution of planets, stars, and galaxies.

Despite a rich literature on the determinants of democracy, the influence of one theoretically important factor has been neglected thus far. Unlike factors such as development, growth, and inequality, the concentration of economic power and its correlate, business unity, have not received systematic empirical treatment. We argue that this factor may act as a deterrent to democracy. Using a dataset covering 120 countries over 23 years, from 1988 through 2010, we find evidence for a negative effect of economic concentration on a nation’s level of democracy. We also show evidence suggesting that corporate political activity may provide a mechanism through which this negative effect is exercised. Our results point to the need to further understand the processes through which business elites undermine democracy.

Many studies argue that the World Bank grants favorable loan conditions to allies of its powerful principals. These studies typically use the count of conditions as a proxy for how demanding loans are on borrowers, even though some conditions are more difficult to comply with than others. We propose a new operationalization: a measure of conditionality stringency in Bank loans constructed using Latent Semantic Scaling. Using this new measure, we find little evidence of a generalizable influence of powerful principals. Instead, the stringency of loan conditions is associated with bureaucratic assessments of risk. To facilitate future research, we provide a new dataset of World Bank loan condition texts and our measure of text stringency for all loans in the dataset.

Partial remission after major depressive disorder (MDD) is common and a robust predictor of relapse. However, it remains unclear to which extent preventive psychological interventions reduce depressive symptomatology and relapse risk after partial remission. We aimed to identify variables predicting relapse and to determine whether, and for whom, psychological interventions are effective in preventing relapse, reducing (residual) depressive symptoms, and increasing quality of life among individuals in partial remission. This preregistered (CRD42023463468) systematic review and individual participant data meta-analysis (IPD-MA) pooled data from 16 randomized controlled trials (n = 705 partial remitters) comparing psychological interventions to control conditions, using 1- and 2-stage IPD-MA. Among partial remitters, baseline clinician-rated depressive symptoms (p = .005) and prior episodes (p = .012) predicted relapse. Psychological interventions were associated with reduced relapse risk over 12 months (hazard ratio [HR] = 0.60, 95% confidence interval [CI] 0.43–0.84), and significantly lowered posttreatment depressive symptoms (Hedges’ g = 0.29, 95% CI 0.04–0.54), with sustained effects at 60 weeks (Hedges’ g = 0.33, 95% CI 0.06–0.59), compared to nonpsychological interventions. However, interventions did not significantly improve quality of life at 60 weeks (Hedges’ g = 0.26, 95% CI -0.06 to 0.58). No moderators of relapse prevention efficacy were found. Men, older individuals, and those with higher baseline symptom severity experienced greater reductions in symptomatology at 60 weeks. Psychological interventions for individuals with partially remitted depression reduce relapse risk and residual symptomatology, with efficacy generalizing across patient characteristics and treatment types. This suggests that psychological interventions are a recommended treatment option for this patient population.

The aardvark (Oryecteropus afer) is a fossorial species with a widespread distribution across sub-Saharan Africa. It leaves distinctive tracks and traces of its presence, including large burrows. However, despite a substantial body fossil record, few trace fossils registered by aardvarks have been described. Its distribution range in southern Africa during historic and prehistoric times was probably broadly similar to that of today, with the addition of the currently submerged Palaeo-Agulhas Plain during much of the Pleistocene. Five new trace fossil sites have been identified in Pleistocene aeolianites on the Cape coast and are here interpreted with varying degrees of confidence as large burrows that were made by aardvarks. In addition, a possible aardvark tracksite has been identified. Together these add to the sparse paleoichnological evidence of aardvarks and add to the global ichnological record of large vertebrate burrows. While at this point the evidence does not warrant the proposal of new ichnotaxa, the findings may act to spur further identification of fossilized traces of aardvarks and other fossorial species on the Cape coast and beyond.

We discuss the emerging technology of digital twins (DTs) and the expected demands as they scale to represent increasingly complex, interconnected systems. Several examples are presented to illustrate core use cases, highlighting a progression to represent both natural and engineered systems. The forthcoming challenges are discussed around a hierarchy of scales, which recognises systems of increasing aggregation. Broad implications are discussed, encompassing sensing, modelling, and deployment, alongside ethical and privacy concerns. Importantly, we endorse a modular and peer-to-peer view for aggregate (interconnected) DTs. This mindset emphasises that DT complexity emerges from the framework of connections (Wagg et al. [2024, The philosophical foundations of digital twinning, Preprint]) as well as the (interpretable) units that constitute the whole.

Mitochondrial trifunctional protein deficiency is a long-chain fatty acid disorder that may include manifestations of severe cardiomyopathy and arrhythmias. The pathophysiology for the severe presentation is unclear but is an indicator for worse outcomes. Triheptanoin, a synthetic medium chain triglyceride, has been reported to reverse cardiomyopathy in some individuals, but there is limited literature in severe cases. We describe a neonatal onset of severe disease whose clinical course was not improved despite mechanical support and triheptanoin.

Several metrics exist for matching the size of donor to recipient in paediatric cardiac transplantation. Different centres employ different metrics for size-matching to determine the viability of donor hearts. Inconsistent evidence exists, with limited consensus as to the metric for size-matching that is most predictive of outcomes after cardiac transplantation. Furthermore, any metric must function within the tight timeline available for the assessment of the suitability of the donor. At the time of the writing of this paper, the most commonly used metric for size-matching in paediatric cardiac transplantation is the donor-to-recipient body weight ratio. In this article, we review published literature evaluating commonly used metrics for size-matching in paediatric cardiac transplantation, including weight, height, body surface area, and imaging parameters.