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  • CDC surveillance databases showed widespread unexplained pauses

    What the study found

    Many U.S. Centers for Disease Control and Prevention (CDC) surveillance databases that had been updated at least monthly were paused or no longer current by late 2025. The authors describe these as “unexplained pauses” in the public evidence base used for health policy.

    Why the authors say this matters

    The authors conclude that real-time federal surveillance informs clinical guidance and public health policy, so long pauses may have compromised evidence for decision making by clinicians, administrators, professional organizations, and policymakers. They also suggest federal databases should have minimum transparency standards, including current update status, a reason if paused, and the next expected update with criteria for resumption.

    What the researchers tested

    The researchers audited the CDC public data catalog on 28 October 2025 to identify database records that had previously been updated at least monthly. They then used each database's stated periodicity, plus a 30-day grace period, to classify databases as current or paused, and they checked whether pauses persisted as of 2 December 2025.

    What worked and what didn't

    Of 1,359 catalog records examined, 82 had been updated at least monthly. Forty-four of those databases were current and 38 were paused; 34 of the paused databases had no data entries within 6 months of the analysis date, while 4 had paused more recently. Among the paused databases, 33 were vaccination-related, 4 of the remaining 5 focused on respiratory diseases, and 1 addressed public health drug overdose deaths; by 2 December 2025, only 1 paused database had been updated.

    What to keep in mind

    The summary provides an audit of CDC catalog records at two points in time and does not explain why the pauses occurred. The available abstract does not describe effects on specific policies or describe any limitations beyond what is implied by the catalog-based approach.

    • The audit examined 1,359 CDC catalog records and focused on 82 that had been updated at least monthly.
    • On 28 October 2025, 44 of those 82 databases were current and 38 were paused.
    • Most paused databases had no data entries within the previous 6 months, and only 1 paused database had been updated by 2 December 2025.
    • Most paused databases were vaccination-related; others mainly concerned respiratory diseases or drug overdose deaths.
    • The authors say unexplained pauses may weaken evidence used for health decision making and public trust.

  • Negative interest rates are linked to lower bank loan loss provisioning

    What the study found

    The study found that banks in countries adopting negative interest rate policy showed a contraction in loan loss provisioning. It also found that this negative interest rate policy effect depends on country- and bank-specific characteristics, including inflation, bank size, and bank specialisation.

    Why the authors say this matters

    The authors do not state a broader practical implication in the abstract beyond examining how negative interest rate policy relates to bank credit risk-taking. They present the findings as relevant for understanding how the policy interacts with bank and country conditions.

    What the researchers tested

    The researchers studied 1,958 banks across 29 OECD countries from 2011 to 2017. They used a triple difference method, and they also used a quadruple difference model and propensity score matching to check the robustness of the triple difference results.

    What worked and what didn't

    The triple difference analysis showed a contraction in loan loss provisioning in countries that adopted negative interest rate policy. The additional methods, quadruple difference and propensity score matching, were used to test robustness, but the abstract does not give separate detailed results for those checks.

    What to keep in mind

    The abstract does not provide detailed effect sizes or explanation of the mechanisms behind the findings. It also does not describe limitations beyond noting that the effect varies with inflation, bank size, and bank specialisation.

    • Banks in negative interest rate policy countries showed lower loan loss provisioning.
    • The effect varied with inflation, bank size, and bank specialisation.
    • The study covered 1,958 banks in 29 OECD countries from 2011 to 2017.
    • The authors used triple difference analysis and checked robustness with quadruple difference and propensity score matching.

  • Industrialization and ICT increase China’s CO₂ emissions

    What the study found

    The study found that industrialization and ICT development were linked to higher CO₂ emissions in China. Financial development and renewable energy consumption were linked to lower emissions.

    Why the authors say this matters

    The authors conclude that China’s carbon neutrality goals require targeted green financial frameworks, regulation of energy-intensive digital infrastructure, and faster renewable energy integration into industrial and ICT sectors. The study suggests these steps are needed for a sustainable environmental transition.

    What the researchers tested

    The researchers examined the impacts of industrialization, ICT development, financial development, and renewable energy consumption on CO₂ emissions in China. They used quarterly data from 1990Q1 to 2024Q4 and applied Wavelet Cross-Quantile Regression, which is a method for looking at how effects differ across emission levels and time horizons.

    What worked and what didn't

    Industrialization and ICT expansion showed positive and persistent effects on CO₂ emissions, especially at higher emission quantiles and in the long run. Financial development reduced CO₂ emissions in the medium and long term, and renewable energy consumption consistently reduced emissions, with stronger long-run effects.

    What to keep in mind

    The abstract does not describe specific limitations beyond the study’s focus on China and the 1990Q1 to 2024Q4 period. The summary provided does not include details on robustness checks, data constraints, or alternative explanations.

    • Industrialization was associated with higher CO₂ emissions in China.
    • ICT expansion was also associated with higher CO₂ emissions, especially in the long run.
    • Financial development was linked to lower CO₂ emissions in the medium and long term.
    • Renewable energy consumption consistently reduced emissions, with stronger long-run effects.
    • The study used quarterly Chinese data from 1990Q1 to 2024Q4.
    • Wavelet Cross-Quantile Regression was used to capture nonlinear and heterogeneous effects.

  • Cr and lanthanides form grey-phase compounds in spent fuel models

    What the study found

    The study found that chromium (Cr) and praseodymium or gadolinium (Pr/Gd) can form perovskite-type compounds in chromium-doped uranium dioxide model materials. These compounds are identified as classical "grey phases" of spent fuel.

    Why the authors say this matters

    The authors conclude that the chemistry of dopants used to improve nuclear fuel performance should be considered for how those dopants may behave during irradiation and later appear in spent fuel. The study suggests this is relevant to understanding spent fuel behavior.

    What the researchers tested

    The researchers used high energy resolution fluorescence detected X-ray absorption near edge structure (HERFD-XANES), a technique for examining chemical state, to study Cr and Pr/Gd speciation in two 200 ppm Cr-doped uranium dioxide compounds: (U4.4+0.7Pr3+0.3)O2-x and (U4.4+0.7Gd3+0.3)O2-x. They also tested the radiation tolerance of PrCrO3 and GdCrO3 using swift heavy ion irradiation, then examined them with electron microscopy and grazing incidence synchrotron diffraction.

    What worked and what didn't

    HERFD-XANES analysis indicated that Cr3+ and Pr3+ or Gd3+ formed perovskite-type PrCrO3 or GdCrO3 phases, consistent with grey phases. After irradiation, electron microscopy and grazing incidence synchrotron diffraction indicated significant amorphization, but the crystal structure was still retained.

    What to keep in mind

    The abstract does not describe broader limitations beyond the specific model materials and compounds studied. The findings are reported for these chromium-doped uranium dioxide systems and the related PrCrO3 and GdCrO3 irradiation tests.

    • Cr and Pr/Gd were found to form perovskite-type grey-phase compounds in Cr-doped uranium dioxide model materials.
    • The compounds studied were 200 ppm Cr-doped (U4.4+0.7Pr3+0.3)O2-x and 200 ppm Cr-doped (U4.4+0.7Gd3+0.3)O2-x.
    • Swift heavy ion irradiation caused significant amorphization in PrCrO3 and GdCrO3.
    • Despite amorphization, electron microscopy and synchrotron diffraction indicated the crystal structure was retained.
    • The authors say dopant chemistry should be considered when thinking about spent fuel behavior after irradiation.

  • Teacher-related barriers hinder STEM curriculum integration

    What the study found

    The review found that integrating STEM education into curricula is affected by six main areas: systemic barriers, teacher challenges, student factors, curriculum issues, pedagogical gaps, and strategies and solutions. The authors identify teacher-related issues, especially limited professional development and limited interdisciplinary knowledge, as the most fundamental barriers.

    Why the authors say this matters

    The authors conclude that teacher empowerment is central to successful STEM integration. They also propose that aligning curricula with industry needs and Sustainable Development Goals (SDGs) may support more effective and inclusive STEM integration across different educational contexts.

    What the researchers tested

    The researchers conducted a systematic review using the PRISMA approach, selecting 28 peer-reviewed articles published between 2015 and 2025. They used qualitative content analysis to develop codes, categories, and themes from the reviewed studies.

    What worked and what didn't

    The review reports that teacher empowerment, robust professional development, pedagogical innovation, and strong policy support are part of the proposed solution framework. It also found that resource limitations and policy gaps were significant impediments, while teacher-related issues emerged as the most fundamental barriers.

    What to keep in mind

    This is a review article, so its findings depend on the studies it included. The abstract does not describe limitations beyond the review scope, but it does note that the proposed framework is intended as a generic and adaptable tool.

    • The review identified six themes affecting STEM integration in curricula.
    • Teacher challenges, including limited professional development and interdisciplinary knowledge, were the most fundamental barriers.
    • Resource limitations and policy gaps were also significant impediments.
    • The authors conclude that teacher empowerment is central to successful STEM integration.
    • The proposed framework emphasizes professional development, curriculum alignment with industry needs and SDGs, pedagogical innovation, and policy support.

  • Daasanach tool users favored mass and edge length

    What the study found

    The study found that stone cutting tool selection and cutting efficiency were influenced by edge angle, mass, and grip. In this setting, Daasanach tool users from East Turkana, Kenya, provided evidence linking traditional knowledge with measurable stone-tool attributes.

    Why the authors say this matters

    The authors conclude that these findings provide new perspectives on the functional relevance of informal cutting tools, which are mostly understood through experimentation. They also say the study can help interpret lithic variability, meaning differences in stone artifacts, in ancient contexts from the perspective of traditional expert users.

    What the researchers tested

    The researchers studied the Daasanach of East Turkana, Kenya, who maintain a tradition of stone tool production and use. They used interviews and video documentation of eight expert toolmakers as they carried out butchery tasks, then related their choices to measurable lithic attributes, meaning stone-tool characteristics.

    What worked and what didn't

    The findings indicate that edge angle, mass, and grip were important in tool selection and cutting efficiency. The abstract does not describe any factors that were unimportant or any results that failed to appear.

    What to keep in mind

    The study observed only eight expert toolmakers, so its scope is limited. The abstract does not describe additional limitations beyond the fact that this was a traditional, specific local setting.

    • Edge angle, mass, and grip influenced cutting tool selection and cutting efficiency.
    • The study focused on Daasanach toolmakers in East Turkana, Kenya.
    • Researchers used interviews and video documentation during butchery tasks.
    • The authors say the findings help interpret ancient stone-tool variability.
    • The abstract does not report any factors that did not matter.

  • Mosque design in Phoenix is shaped by local context

    What the study found

    The study found that mosque development in Greater Phoenix is shaped by a range of local contextual factors, not just design preferences. It highlights demographic, economic, social, and civic relationships as part of the process from conception to construction.

    Why the authors say this matters

    The authors say this matters because mosques are growing rapidly in U.S. cities, while architects, designers, and planners have limited resources for creating context-sensitive solutions. The study suggests this framework can help address practical community needs rather than focusing only on aesthetics.

    What the researchers tested

    The article used a case study of eight mosques in Greater Phoenix, also described as the Valley of the Sun. It examined mosque construction within a relational regional context and drew on an interdisciplinary framework to understand the urban development process.

    What worked and what didn't

    The findings indicate that interfaith solidarity, relationships with city officials, and architect advocacy played important roles in shaping mosque designs. The article also says that factors such as demographics, economics, and social conditions influenced development from conception to construction.

    What to keep in mind

    The abstract describes a case study of eight mosques in one U.S. region, so the scope is limited to that setting. It does not provide detailed limitations beyond noting that the article shifts attention away from prior work focused mainly on aesthetics.

    • Mosque development in Greater Phoenix is shaped by demographic, economic, social, and civic factors.
    • Interfaith solidarity, city officials, and architect advocacy are identified as important influences.
    • The study uses a case study of eight mosques in the Valley of the Sun.
    • The authors say the work shifts attention from mosque aesthetics to development processes and community needs.
    • The abstract frames the study as an interdisciplinary contextual framework for mosque construction in the U.S.

  • Craniofacial fibrous dysplasia osteoblasts show altered bone homeostasis

    What the study found

    The study found that osteoblasts from craniofacial fibrous dysplasia lesions showed higher intracellular cyclic adenosine monophosphate (cAMP), increased proliferation, reduced osteoblastic differentiation, and no mineralization ability. The authors also reported a decreased osteoclastogenic potential, meaning a reduced ability to promote osteoclast formation, in these cells.

    Why the authors say this matters

    The authors suggest that comparing craniofacial and appendicular fibrous dysplasia, that is, lesions in the skull-face region versus the limbs, could help explain why these sites behave differently. They conclude that further study of craniofacial fibrous dysplasia pathogenesis is needed.

    What the researchers tested

    The researchers studied osteoblasts from craniofacial fibrous dysplasia lesions in vitro, meaning in laboratory cell cultures. They examined histology, intracellular cAMP levels, cell proliferation, osteoblastic differentiation, mineralization, and the ability of conditioned medium from these cells to support osteoclast formation.

    What worked and what didn't

    Typical histological features described as an "alphabet soup" appearance were observed in craniofacial fibrous dysplasia lesions. The cells showed increased proliferation, but osteoblastic differentiation and mineralization were decreased or absent. The conditioned medium also showed impaired osteoclast formation, indicating reduced osteoclastogenic potential.

    What to keep in mind

    The abstract does not describe sample size, study duration, or detailed experimental controls. It also does not provide clinical outcome data, so the findings are limited to laboratory observations from craniofacial fibrous dysplasia cells.

    • Craniofacial fibrous dysplasia osteoblasts had higher intracellular cAMP.
    • These cells showed increased proliferation but reduced differentiation and mineralization.
    • Conditioned medium from the cells had impaired osteoclast formation.
    • The study reports typical histological "alphabet soup" features in craniofacial lesions.
    • The authors note shared features with appendicular fibrous dysplasia, but differences in osteoclastic potential.

  • Reasoning-based LLMs predicted 12-week antidepressant remission

    What the study found

    The study found that reasoning-based large language models could predict 12-week remission in patients with depressive disorder receiving antidepressant monotherapy. The best-performing model was Claude 3.7 Sonnet with 32,000 reasoning tokens and a referencing of deep research prompt.

    Why the authors say this matters

    The authors conclude that these models show promise as interpretable adjunctive tools in depressive disorder treatment planning. They also say prospective validation in real-world clinical settings remains essential.

    What the researchers tested

    The researchers analyzed data from 390 patients in the MAKE Biomarker discovery study who were taking first-step antidepressant monotherapy. They tested three large language models — ChatGPT o1, o3-mini, and Claude 3.7 Sonnet — using prompting strategies including zero-shot chain-of-thought, atom-of-thoughts, and a novel referencing of deep research prompt. Three psychiatrists independently rated the model outputs for clinical validity on 5-point Likert scales.

    What worked and what didn't

    Claude 3.7 Sonnet with 32,000 reasoning tokens and the referencing of deep research prompt achieved the highest performance, with balanced accuracy of 0.6697, sensitivity of 0.7183, and specificity of 0.6210. Medication-specific analysis showed negative predictive values of 0.75 or higher across major antidepressants, suggesting stronger performance for identifying likely nonresponders. Psychiatrists gave favorable mean ratings for correctness, consistency, specificity, helpfulness, and human likeness.

    What to keep in mind

    The study used retrospective data from a single biomarker discovery dataset after excluding patients with uncommon medications or missing biomarker data. The abstract does not describe longer-term follow-up beyond 12 weeks, and it states that prospective real-world validation is still needed.

    • The best model was Claude 3.7 Sonnet with 32,000 reasoning tokens and a referencing of deep research prompt.
    • Balanced accuracy for the top model was 0.6697, with sensitivity of 0.7183 and specificity of 0.6210.
    • Negative predictive values were 0.75 or higher across major antidepressants in medication-specific analysis.
    • Three psychiatrists rated the model outputs favorably on correctness, consistency, specificity, helpfulness, and human likeness.
    • The authors say prospective validation in real-world clinical settings remains essential.

  • Landslide activity shifted earlier in the year in the European Alps

    What the study found

    The study found four seasonal patterns of landslide occurrence in the European Alps. It also reports a shift toward landslide activity happening earlier in the year, which the authors link to rising air temperatures and changing precipitation patterns.

    Why the authors say this matters

    The authors frame landslides as a major natural hazard in mountain regions that threatens human safety, infrastructure, and ecosystems. The study suggests that understanding how meteorological changes relate to landslide timing may help explain regional impacts of climate change.

    What the researchers tested

    The researchers analyzed instrumental records from 849 seismic stations in the European Alps from 2000 to 2023 using an automated seismic data exploration method. This produced a catalog of 926 seismogenic landslides, and the Alps were divided into 142 massifs based on altitude and slope properties for further analysis.

    What worked and what didn't

    Six massifs had more than 30 landslides each, which allowed the authors to cross-correlate landslide activity with monthly variations in air temperature, precipitation, snow cover, and snow melt before and after 2010. The massifs with the highest landslide counts had lower average air temperatures, higher annual precipitation, and a larger channel steepness index, and the authors report a shift toward earlier-in-the-year activity linked to warming of 0.5°C–2°C and changing precipitation patterns.

    What to keep in mind

    The analysis is limited to the European Alps and to massifs with the highest numbers of detected landslides for detailed comparison. The abstract does not describe additional limitations beyond this scope.

    • The study identified 926 seismogenic landslides in the European Alps from 2000 to 2023.
    • Four seasonal patterns of landslide occurrence were reported.
    • Landslide activity shifted earlier in the year and was linked to rising air temperatures and changing precipitation patterns.
    • The highest-landslide massifs had lower average temperatures, higher annual precipitation, and a larger channel steepness index.
    • Six massifs had more than 30 landslides, enabling before-and-after 2010 comparisons.