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Inclusive global theories of child development require local researchers who spearhead research within their own communities. This means creating pathways for researchers from underrepresented contexts to lead projects, define priorities, and collaborate as equal partners, rather than merely act as data collectors. This capacity-building holds the promise of generating more accurate and equitable developmental science research.
Intercropping cereals and legumes may enhance system productivity by simultaneously producing grain for human consumption and crop residues for livestock feed. This study evaluated the effects of maize (Zea mays) intercropped with cowpea (Vigna unguiculata) or mucuna (Mucuna pruriens) on soil moisture dynamics, grain and forage yields, and household food and feed self-sufficiency under varying rainfall conditions. The experiment was conducted on five farms in Mutoko District, Zimbabwe, during the 2021/22 and 2022/23 growing seasons using a Randomized Complete Block Design with five treatments: sole maize, sole cowpea, sole mucuna, maize–cowpea intercropping, and maize–mucuna intercropping. Soil moisture was measured biweekly to 1.8 m depth. Each season, experimental sites were classified according to seasonal rainfall as dry (<450 mm), average (450–600 mm), or wet seasons (>600 mm).Intercropping performance was influenced by rainfall. Sole mucuna utilized more soil moisture than other cropping systems. In dry and average seasons, sole maize yielded 1,812 kg ha−1 of grain, 103% more than maize intercrops, and met annual household maize requirements. In wet seasons, maize–cowpea intercropping produced higher maize grain yields (3,273 kg ha−1) than sole maize (2,372 kg ha−1), with a land equivalent ratio of 2.18. Mid-season dry spells reduced grain yields across treatments but had limited effects on stover production. During wet seasons, mucuna-based systems generated the highest forage and crude protein yields, sufficient to feed five cattle during the dry season. These findings highlight that maize–legume intercropping can enhance food and feed production during relatively wet seasons
The Community Engagement (CE) Studio is an established approach for integrating community and patient perspectives into research. Despite its widespread implementation, little information is available about how this model has been adapted across institutions to accommodate varying resources and capacities.
Methods:
The Patient and Community Engagement in Research (PaCER) Program at UNC-Chapel Hill modified the CE Studio model – with adaptations to recruitment, onboarding, virtual delivery, compensation, and session planning – resulting in the development of a new Community Feedback Session (CFS) service. This adaptation yielded a scalable model that requires fewer resources, supports capacity-building within research teams, and leverages technology. We then evaluated the CFS approach via surveys distributed to CFS attendees and researchers.
Results:
Between January 2022 and August 2025, we conducted 46 CFSs across 19 projects engaging 302 attendees; 149 attendees and 34 researchers completed evaluation surveys. Of these, 99% of attendees indicated they would participate again, and 97% of researchers rated the CFS service as Good or Excellent and recommended it to colleagues. Respondents appreciated the structure, facilitation, composition, and size of the sessions, and many had no suggestions for improvement. Researchers described changes they made to projects based on feedback received during CFSs, including amending study protocols, altering intervention content and delivery modalities, and revising a variety of study-related materials.
Conclusions:
Evaluation data support the acceptability, feasibility, and utility of the CFS approach, indicating that this modified and scalable service accomplishes researcher goals, informs research in an impactful way, and provides value to partners.
Neuropsychological (NP) tests are multi-domain in execution. Reliance on a single score representing specific domains obscures the detection of subtle cognitive changes and increases risk of inaccurate assessment. Rooted in the Boston Process Approach (BPA), the Framingham Heart Study (FHS) captures multi-dimensional errors and process features within and across NP tests. We examined these BPA variables in community-dwelling older adults.
Methods:
We analyzed data from 2363 dementia-free participants aged 60 and above. Exploratory and confirmatory factor analyses used Kemeny covariance structures. Measurement invariance was estimated across age, sex, and education groups. We assessed the impact of demographics on latent factors, and the ability of these factors to predict future conversion to all-cause dementia. We trained machine learning (ML) models to compare NP and BPA data.
Results:
Participants were older adults (mean age 71.5 ± 8.7 years), primarily female (54.2%), and non-Hispanic White (96.5%). The bifactor model was the only model with adequate fit (CFI = 0.96, RMSEA = 0.03). General and specific factors captured ability for accurate and strategic responses, test-specific variance, and nuanced executive and semantic processes distributed across tests. Higher general ability and stronger verbatim story recall were associated with a reduced likelihood of developing all-cause dementia (general: OR = 0.15, 95% CI [0.12–0.86]; recall: OR = 0.24, 95% CI [0.23–0.90]) over a median of 5.2 years. With NP/BPA data, ML models identified >99% of 222 converters.
Conclusions:
This study highlights the strengths of NP/BPA data. Multidimensional cognitive features may enhance sensitivity to early changes predictive of incipient dementia.
Transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is poorly managed, with discontinuity of care commonplace, leading to poorer outcomes, while evidence-based interventions to improve transition are scarce. This study is a secondary analysis of the MILESTONE trial, aiming to determine whether managed transition increases the proportion of young people who appropriately transition from CAMHS to AMHS.
Methods
The MILESTONE trial was a multicenter, two-arm, cluster-randomized controlled trial across eight countries at 40 CAMHS sites to compare usual care (UC) to managed transition (MT). MT consisted of training, identification, and assessment of transition readiness and appropriateness. Eligible participants were receiving CAMHS care, IQ ⩾ 70 and within 1 year of their service transition boundary. CAMHS sites were randomized 2:1 between UC and MT. The main outcome was whether participants were receiving care from AMHS at 15 months follow up.
Results
The MILESTONE study included 793 participants, 552 receiving UC and 241 receiving MT. In the MT group, 24.9% transitioned to AMHS at 15 months compared to 14.2% in the UC group (p = 0.002), and appropriate transitions (in those with a need for transition at baseline or ongoing clinical need at 15 months) were 32.3% in the MT group compared to 16.4% in the UC group (p < 0.001).
Conclusions
A higher proportion of the MT group transitioned to AMHS at 15 months, and there was a higher proportion of appropriate transitions compared to UC. Clinicians and services should consider the incorporation of MT into routine clinical care.
The COVID-19 pandemic overwhelmed New York City’s healthcare infrastructure, prompting rapid adaptations to expand critical care capacity. Montefiore Medical Center’s Hutchinson Metro Center (the Hutch), a standalone ambulatory surgical center (ASC), was converted into an ICU within 5 days to address the surge in COVID-19 cases. This was done by repurposing 16 operating rooms and 60 post-anesthesia care unit beds into 14 ICU and 60 floor beds. A 5-step framework guided the conversion process, including: (1) feasibility of conversion, (2) critical structural logistics, (3) essential supplies and technology, (4) Clinical criteria, and (5) staffing. Key challenges were oxygen supply limitations, staffing shortages, and logistical hurdles such as medication and equipment procurement. This report highlights the potential of ASCs as adaptable overflow facilities during public health crises and provides a blueprint for future pandemic preparedness.
I present a new set of new rules for Crystal Chemistry that greatly increases our understanding of the factors affecting the stereochemistry of mineral and inorganic crystal structures.
The electric field in a crystal is a vector field; bond strengths from cations to anions are positive and bond strengths from anions to cations are negative. The incident bond strengths at all ion sites must equal the formal charges at those sites. Bond strengths along non-degenerate paths between symmetrically equivalent ions in the structure must sum to zero. This leads to rule 1: the a priori bond-strength rule: “A priori bond-strengths may be calculated for all bonds in a structure by constructing a bond-strength table that includes all bond-strengths as unknown variables. The corresponding charge-conservation matrix can be solved for all the unknown bond-strengths”. The resultant bond strengths depend only on the formal charges of the constituent ions and the bond topology of the structure. However, they correlate strongly with bond lengths.
Ion radii derived from experimental bond lengths do not represent the radii of ions in crystals as we cannot objectively divide bond lengths into the radii of the constituent ions. This leads to rule 2, the ion-radius rule: “Ratios of ion radii have no physical meaning whereas sums of ion radii can be used in crystal chemistry (e.g. correlating site occupancies with observed mean bond lengths).”
The characteristic Lewis acidity of a cation is defined as its characteristic bond strength, which is equal to its charge/characteristic-coordination-number. The characteristic Lewis basicity of an anion is defined as the characteristic strength of the bonds formed by the anion. This leads to rule 3, the bond-strength-matching rule: “Stable structures will form where the Lewis acidity of the cation closely matches the Lewis basicity of the anion.” Cation and anion coordination numbers adjust to optimize matching of Lewis acidities and Lewis basicities.
What impact does war have on women's well-being? War is far more likely to occur in countries where women lack equal standing in society. When those wars occur, the effects are also gendered. If gender inequality is affected by both the causes and impacts of armed conflict, we need to think about the implications of this interrelationship. Focusing on gendered political inequality, this Element takes a large-N approach to exploring whether inequality variation in states at conflict leads to variation in women's health outcomes. By linking the two processes, the authors are able to directly account for the impact of political inequality on which countries participate in civil conflict when they estimate the impact of inequality on conflict consequences, particularly those relating to women's health.
This discussion note reviews responses of the linguistics profession to the grave issues of language endangerment identified a quarter of a century ago in the journal Language by Krauss, Hale, England, Craig, and others (Hale et al. 1992). Two and a half decades of worldwide research not only have given us a much more accurate picture of the number, phylogeny, and typological variety of the world's languages, but they have also seen the development of a wide range of new approaches, conceptual and technological, to the problem of documenting them. We review these approaches and the manifold discoveries they have unearthed about the enormous variety of linguistic structures. The reach of our knowledge has increased by about 15% of the world's languages, especially in terms of digitally archived material, with about 500 languages now reasonably documented thanks to such major programs as DoBeS, ELDP, and DEL. But linguists are still falling behind in the race to document the planet's rapidly dwindling linguistic diversity, with around 35–42% of the world's languages still substantially undocumented, and in certain countries (such as the US) the call by Krauss (1992) for a significant professional realignment toward language documentation has only been heeded in a few institutions. Apart from the need for an intensified documentarist push in the face of accelerating language loss, we argue that existing language documentation efforts need to do much more to focus on crosslinguistically comparable data sets, sociolinguistic context, semantics, and interpretation of text material, and on methods for bridging the ‘transcription bottleneck’, which is creating a huge gap between the amount we can record and the amount in our transcribed corpora.