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  • Dental prescribing can affect health beyond the mouth

    What the study found

    The review found that medications commonly prescribed in general dental practice can affect health beyond the mouth. These include nonsteroidal anti-inflammatory drugs, acetaminophen, opioids, gabapentinoids, antibiotics, and antiseptic mouth rinses such as chlorhexidine.

    Why the authors say this matters

    The authors conclude that general dental practitioners should consider systemic health when prescribing to support patient safety and antimicrobial and pharmacologic stewardship. They suggest that this awareness is important because these drugs can affect organs, the microbiome, and other body systems.

    What the researchers tested

    The article is a review that summarizes the systemic health effects of three medication classes frequently prescribed by general dental practitioners. It discusses their mechanisms, clinical implications, and stewardship opportunities.

    What worked and what didn't

    The review says nonsteroidal anti-inflammatory drugs are first-line for dental pain, but even brief use can affect renal function, blood pressure, and gastrointestinal integrity in susceptible patients. Acetaminophen is described as useful for mild to moderate pain, but cumulative dosing may raise hepatotoxicity risk, while opioids offer no advantage over non-opioid analgesics and contribute to opioid misuse. The review also states that gabapentinoids may be lower-risk opioid alternatives in patients who cannot use nonsteroidal anti-inflammatory drugs or acetaminophen, though caution is still needed.

    What to keep in mind

    The abstract does not describe study limitations in detail. The article focuses on medication classes used in general dental practice and summarizes effects and concerns as presented in the review.

    • Nonsteroidal anti-inflammatory drugs can affect renal function, blood pressure, and gastrointestinal integrity in susceptible patients.
    • Acetaminophen is useful for dental pain, but cumulative dosing may increase hepatotoxicity risk.
    • Opioids offer no advantage over non-opioid analgesics for the dental uses described and contribute to opioid misuse.
    • Antibiotics may increase antimicrobial resistance, gut microbiome dysbiosis, and Clostridioides difficile infection risk when used without a clinical indication.
    • Chlorhexidine mouth rinses can reduce oral microbial load but may alter nitrate-reducing bacteria and nitric oxide-mediated vascular function.

  • Market greenness predicts liquidity shocks and stock pricing errors

    What the study found

    The study found that market greenness, meaning the market’s environmental, social, and governance (ESG) performance, predicts liquidity shocks during periods plausibly linked to changes in investors’ ESG tastes. It also found that ESG-related liquidity helps explain stock returns and pricing errors beyond what classic risk factors capture.

    Why the authors say this matters

    The authors conclude that shifts in investors’ ESG tastes may generate alphas, which are returns not explained by standard risk factors, and that these effects are partly captured by ESG-related liquidity. They suggest this new liquidity measure improves the fit of asset-pricing models compared with the Pástor-Stambaugh liquidity measure in the period they study.

    What the researchers tested

    The researchers built on the Pástor-Stambaugh liquidity measure, a standard way to study how trading conditions affect returns, and on an equilibrium model that includes investors’ ESG preferences. They tested whether market greenness predicts liquidity shocks, whether ESG-related liquidity is explained by established risk factors, and whether forecasts from their model reduce stock alphas.

    What worked and what didn't

    Market greenness predicted Pástor-Stambaugh liquidity innovations in 2015–2019. Forecasts of ESG-related liquidity reduced stock alphas more effectively than the Pástor-Stambaugh liquidity measure over the period when market greenness predicted liquidity, and ESG-related liquidity was not spanned by well-established risk factors.

    What to keep in mind

    The abstract does not provide detailed limitations beyond the timing of the main results, which are described for 2015–2019 and before 2020. It also does not describe the exact data sources or empirical design in detail.

    • Market greenness predicted liquidity shocks during 2015–2019.
    • ESG-related liquidity was linked to stock returns.
    • ESG-related liquidity was not spanned by well-established risk factors.
    • Forecasts from the ESG-related liquidity model reduced stock alphas more effectively than the Pástor-Stambaugh measure before 2020.
    • The authors tie the predictability to shifts in investors’ ESG demand.

  • Dutch L1 teachers show moderate acceptance of GenAI

    What the study found

    The study found that Dutch secondary school L1 teachers had a moderate degree of acceptance toward generative AI (GenAI), which refers to AI systems that generate text or other content. They also saw both concerns and possibilities in using it, especially for writing instruction.

    Why the authors say this matters

    The authors say it is important to consider L1 teachers' beliefs about GenAI and how it is affecting different domains of L1 education. The study suggests that more efforts are needed to inform L1 teachers that critical reflection on GenAI could also be done in linguistics and literature education.

    What the researchers tested

    The researchers conducted an exploratory survey study with 124 L1 teachers from Dutch secondary schools. They examined teachers' beliefs about the use of GenAI in secondary education.

    What worked and what didn't

    The findings show that GenAI is broadly discussed in schools and used by most students, but adequate policies and teaching materials are scarce. Significant differences were found across different levels of secondary education, and teachers expressed different degrees of concern about problematic aspects of GenAI use.

    What to keep in mind

    The abstract describes only Dutch secondary schools and L1 teachers, so the findings are limited to that context. Limitations beyond the study scope are not described in the available summary.

    • The study surveyed 124 L1 teachers in Dutch secondary schools.
    • Teachers showed a moderate level of acceptance of GenAI.
    • GenAI was broadly discussed in schools and used by most students.
    • Policies and teaching materials on GenAI were described as scarce.
    • Teachers saw GenAI mainly as relevant to writing instruction, but also as something to reflect on in linguistics and literature.

  • Wittgenstein is presented as a methodological naturalist

    What the study found

    The paper argues that Wittgenstein can be understood as a rare kind of naturalist philosopher whose naturalism does not depend on ontological or metaphysical claims. It presents this as a methodological form of naturalism grounded in Wittgenstein’s view of philosophy.

    Why the authors say this matters

    The authors conclude that this interpretation refines dominant views of Wittgenstein’s naturalism as liberal or liberating. The study suggests it also adds to the diversity of naturalistic positions in philosophy.

    What the researchers tested

    The paper examines different interpretations of Wittgenstein as a naturalist philosopher. It analyzes his thought through two features: philosophy’s radical autonomy and the descriptiveness of philosophy.

    What worked and what didn't

    The author argues that Wittgenstein’s radical autonomy for philosophy keeps philosophy from committing to metaphysical theses. The paper also argues that, for Wittgenstein, general facts of nature are not simply observed data but the hinges of philosophy, and that this supports the claim that naturalism is a precondition for philosophy rather than science.

    What to keep in mind

    The summary does not describe empirical data or experiments. The abstract presents an interpretive argument about Wittgenstein, so the scope is limited to that philosophical interpretation.

    • The paper interprets Wittgenstein as a rare kind of naturalist philosopher.
    • It says this naturalism is methodological, not based on metaphysical or ontological claims.
    • Two features support the interpretation: philosophy’s radical autonomy and its descriptiveness.
    • The author argues that general facts of nature function as hinges of philosophy.
    • The interpretation is presented as refining existing views of Wittgenstein’s naturalism.

  • Virtual reality executive function training showed inconsistent gains in children with executive dysfunction

    What the study found

    The study suggests that virtual reality-based executive function training can create a learning environment for primary-aged children with executive dysfunction, but progress on executive function measures was inconsistent. The authors also suggest that presence and agency may play distinct roles in that learning environment.

    Why the authors say this matters

    The authors say understanding how children with executive dysfunction can be supported is important because executive dysfunction is associated with poorer academic outcomes, more social and emotional difficulties, and lower wellbeing. They also conclude that a more nuanced understanding of presence and agency may help inform implementation within education.

    What the researchers tested

    The researchers used a mixed methods case series with 4 participants who were identified as experiencing executive dysfunction. Children completed 12 fifteen-minute virtual reality training sessions over 4 weeks using the executive function training game Koji's Quest, took executive function tests before and after training, and gave qualitative feedback at the end of each session. Their changes in executive function, mindset, and motivation were compared with a previously assessed sample of neurotypical children for context.

    What worked and what didn't

    The abstract reports inconsistent progress in executive function measures after training. It also states that children's experiences provided context for qualitative analysis and that presence and agency may be important, but it does not report a clear, uniform improvement across participants.

    What to keep in mind

    This was a very small case series with only 4 participants, so the findings are exploratory. The abstract does not provide detailed numerical results, and limitations beyond the small sample are not described in the available summary.

    • Four primary-aged children with executive dysfunction took part in the study.
    • They completed 12 virtual reality training sessions over 4 weeks.
    • Executive function progress was inconsistent across participants.
    • The authors suggest presence and agency may affect the learning environment in different ways.
    • The abstract says further research is recommended.

  • Cooperative allocation lowers China’s carbon reduction costs

    What the study found

    The study found that a cost-based inter-provincial cooperation mechanism for carbon emission reduction can lower China's total abatement costs. It also found a trade-off between economic efficiency and the timing of provincial carbon peaking.

    Why the authors say this matters

    The authors conclude that the mechanism offers a scalable way to support inter-regional climate collaboration. They say it provides a theoretical basis for designing differentiated cooperation strategies to help fulfill COP commitments and advance the global Sustainable Development Goals, especially SDG 13 and SDG 17.

    What the researchers tested

    The researchers used a marginal abatement cost curve model, which estimates how much it costs to reduce one additional unit of emissions, to simulate provincial carbon emission reduction tasks in China from 2020 to 2030. They compared different inter-provincial cooperation scenarios and cooperation proportions.

    What worked and what didn't

    Cooperation reduced national total abatement cost compared with independent implementation. The cost-saving ratio reportedly reached about 60–70% when cooperation was high at 80%, and the mechanism narrowed differences in abatement costs across regions. However, the abstract says there is a trade-off: higher cooperation levels were economically optimal in some periods, while a 40% cooperation proportion was recommended as the balanced option to help most provinces peak before 2030.

    What to keep in mind

    The summary does not describe data sources, model validation, or uncertainty measures. The findings are presented for China's provincial context and for the 2020–2030 period only.

    • A cost-based inter-provincial cooperation mechanism reduced total carbon abatement costs in China.
    • At an 80% cooperation proportion, cost savings were reported at roughly 60–70%.
    • The results showed a trade-off between lower cost and meeting regional carbon peaking timing.
    • An 80% cooperation proportion was said to be economically optimal for 2020–2028, and 60% for 2029–2030.
    • A 40% cooperation proportion was recommended as the balanced option to help most provinces peak before 2030.

  • County cancer mortality declines differed by place and income

    What the study found

    The study found that U.S. cancer mortality declined nationally from 1991 to 2019, but the amount of improvement was not the same everywhere. Counties with the largest declines were more often coastal, higher-income, and metropolitan.

    Why the authors say this matters

    The authors conclude that the variation in cancer mortality improvement points to the need for place-based initiatives, meaning efforts designed for specific locations, to advance cancer health and more equitable improvements in outcomes.

    What the researchers tested

    The researchers examined county-level cancer mortality changes across 2,954 U.S. counties using 21,381,009 neoplasm death records from CDC WONDER. They used geographic information system analysis, Moran's I, ordinary least squares models, geographically weighted regression models, and trend comparisons.

    What worked and what didn't

    Counties with the greatest improvement in cancer mortality tended to be coastal, higher-income, and metropolitan. In the ordinary least squares model, higher initial mortality, percent urban, and median household income were the strongest positive associations with improvement, while percent Black residents and percent with education beyond high school were less associated with the outcome.

    What to keep in mind

    The abstract does not describe limitations in detail. The findings are based on county-level patterns, so they describe geographic variation rather than individual-level outcomes.

    • U.S. cancer mortality declined by 32% from 1991 to 2019.
    • The largest mortality improvements were seen in coastal, higher-income, metropolitan counties.
    • Higher initial mortality, percent urban, and median household income were positively associated with improvement in the OLS model.
    • Percent Black residents and percent with education beyond high school were less associated with improvement.
    • The authors say place-based initiatives may be needed for more equitable cancer mortality improvement.

  • Natural gas prices and green bonds affect each other over time

    What the study found

    The study found a bilateral relationship between natural gas prices and the green bond market. The pattern changes over time and depends on market conditions.

    Why the authors say this matters

    The authors conclude that green bonds are important for supporting sustainable development goals, but their interaction with transitional energy markets like natural gas is nonlinear and changes over time. The findings indicate that financial strategies may need to be realigned with long-term sustainability goals.

    What the researchers tested

    The researchers used a Quantile-on-Quantile approach, which examines how different parts of one variable's distribution relate to different parts of another's. They analyzed monthly data from 2013 to 2025 to study nonlinear, asymmetric, and state-dependent interactions between natural gas prices and the green bond market.

    What worked and what didn't

    The results indicate that rising natural gas prices are likely to have a negative short-run effect on green bond performance. In contrast, increases in the green bond market have a short-to-medium-term positive effect on natural gas prices, which the abstract links to natural gas's role as a transitional fuel.

    What to keep in mind

    The abstract does not describe specific limitations beyond the study's focus on monthly data from 2013 to 2025. The summary provided does not include details on data sources, robustness checks, or caveats about generalizing the findings.

    • The study reports a bilateral relationship between natural gas prices and the green bond market.
    • Higher natural gas prices are linked to weaker green bond performance in the short run.
    • Growth in the green bond market is linked to higher natural gas prices in the short-to-medium term.
    • The relationship is described as nonlinear, asymmetric, and dependent on market conditions.
    • The authors say the findings may help align financial strategies with long-term sustainability goals.

  • Full-length tie-rods improve out-of-plane masonry wall capacity

    What the study found

    The study found that full-length injected tie-rods (FIT), a strengthening method for unreinforced masonry walls, improved out-of-plane performance in the walls examined. The main gains were higher out-of-plane capacity and better post-peak stiffness, while initial stiffness changed little.

    Why the authors say this matters

    The authors say FIT is promising because it is feasible and has minimal visual impact on heritage masonry structures. The study suggests the method may offer a practical way to strengthen walls against out-of-plane seismic vulnerability.

    What the researchers tested

    The researchers studied U-shaped unreinforced masonry walls retrofitted with FIT using validated finite element modeling, parametric analyses, and a design-oriented kinematic approach. They compared two modeling strategies, solid-element and truss-element representations, and also ran dynamic simulations under different excitations.

    What worked and what didn't

    The finite element models matched published experimental data well, including the wall response and the bond behavior of injected rods. Parametric analyses showed that multiple tie-rods at two heights and larger rod diameters were most effective, although the benefit decreased beyond a certain diameter. Dynamic simulations showed improved drift control and delayed failure, and the modified kinematic method matched finite element predictions with an average error of about 7%.

    What to keep in mind

    The abstract describes U-shaped unreinforced masonry walls, so the results are specific to that configuration. It also notes that the modified kinematic method for strengthened walls relied only on the front-wall rods because the finite element evidence showed preserved corner integrity and negligible use of transverse-wall rods.

    • FIT strengthening improved out-of-plane capacity and post-peak stiffness in the studied masonry walls.
    • Initial stiffness was not markedly changed by the retrofitting.
    • Multiple tie-rods at two heights and larger diameters were the most effective configurations, up to a threshold.
    • Dynamic simulations showed better drift control and delayed failure across excitations.
    • A modified kinematic analysis matched finite element predictions with about 7% average error.

  • Donor conception support gaps are mapped across ten Western countries

    What the study found

    The study found that donor conception is becoming more complex and that support systems for donor-conceived people, donors, parents, siblings, and their families are not keeping pace. It maps psychosocial support and counselling provisions across ten Western countries and identifies key challenges in existing arrangements.

    Why the authors say this matters

    The authors say this matters because donor conception now has lifelong implications for everyone involved, including issues around disclosure, long-term psychosocial wellbeing, and donor-conceived linking. They conclude that more accessible and responsive psychosocial support services are needed.

    What the researchers tested

    The researchers mapped the donor conception context in ten Western countries, with attention to the availability of psychosocial support and counselling. They gave particular focus to post-donation counselling support related to disclosure, long-term psychosocial wellbeing, and donor-conceived linking, meaning ways genetically related people may find and contact each other.

    What worked and what didn't

    The abstract does not describe any intervention or compare which services worked better. It reports that current provisions and support systems have key challenges, while also noting developments such as direct-to-consumer DNA testing, early contact between donors and recipient parents, same-donor siblings, imported gametes, and online donor recruitment platforms.

    What to keep in mind

    The summary only states that the paper maps ten Western countries; it does not give country-by-country details in the abstract. Specific outcomes, measures, or the exact nature of the proposed improvements are not described in the available summary.

    • The paper maps donor conception support provisions in ten Western countries.
    • It highlights growing complexity from direct-to-consumer DNA testing, early contact, imported gametes, and online donor recruitment.
    • The authors focus on post-donation counselling for disclosure, long-term psychosocial wellbeing, and donor-conceived linking.
    • The abstract says current support systems have key challenges and need to be more accessible and responsive.
    • The abstract does not provide detailed country-by-country findings or specific intervention results.