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  • Financial literacy and trust shape trusted-contact adoption

    What the study found

    The study found that fewer than 38% of eligible U.S. investors had ever adopted a trusted contact, which is a safeguard under FINRA Rule 4512 that lets an investor voluntarily name a trusted person. The authors report that financial literacy, portfolio sophistication, and social trust are important determinants of whether people adopt this safeguard.

    Why the authors say this matters

    The authors suggest the findings point to substantial frictions in precautionary financial behavior, meaning some investors do not take a simple protective step even when it is available. They conclude that social capital, which refers to trust and connections within a community, strongly shapes how financial knowledge relates to adoption.

    What the researchers tested

    The researchers used microdata from the 2021 National Financial Capability Study. They examined both naming a trusted contact and being named by others, and they addressed endogeneity, a situation where one factor may be tied to another in ways that complicate causal interpretation, by using exposure to mandatory high-school financial education as an instrument for financial literacy.

    What worked and what didn't

    Financial literacy had a large causal effect on compliance. Portfolio sophistication predicted both naming a trusted contact and being named by others, and social capital strongly moderated these relationships. In low-trust environments, literacy weakly predicted or even deterred delegation, while in high-trust regions it strongly increased adoption and peer recognition.

    What to keep in mind

    The summary does not describe other limitations beyond the study's focus on U.S. investors in the 2021 National Financial Capability Study. The results are specific to the behaviors studied: naming a trusted contact and being named by others.

    • Fewer than 38% of eligible U.S. investors had ever named a trusted contact.
    • Financial literacy had a large causal effect on compliance with the trusted-contact safeguard.
    • Portfolio sophistication predicted both naming a trusted contact and being named by others.
    • Social capital strongly changed how financial literacy related to adoption.
    • In low-trust areas, literacy weakly predicted or deterred delegation; in high-trust regions, it strongly increased adoption and peer recognition.

  • Hybrid renewable microgrids met zero-reliability-loss EV charging goals

    What the study found

    The study found that a hybrid renewable microgrid combining photovoltaic arrays, wind turbines, battery energy storage system (BESS), and hydrogen energy storage system (HESS) can meet a near-zero loss of power supply probability for electric vehicle charging. It also found that the optimal design differs between Egypt and Türkiye.

    Why the authors say this matters

    The authors say this matters because electric vehicle charging stations need clean and reliable power, and the study suggests coordinated battery-hydrogen storage can support that goal across different climatic and economic settings. The findings indicate that location-specific resource conditions and financial factors affect both system sizing and cost.

    What the researchers tested

    The researchers used a multi-objective optimization framework with an Indicator-Based Evolutionary Algorithm (IBEA) to size an off-grid hybrid renewable microgrid. They tested the system in Attaka, Suez Governorate, Egypt, and Yalova Province, Türkiye, comparing levelized cost of energy (LCOE), curtailment ratio, loss of power supply probability, and renewable fraction.

    What worked and what didn't

    All designs satisfied the zero-LPSP constraint, reported as less than or equal to 0.001%, showing that the storage coordination met the reliability target. Türkiye had a lower LCOE of $0.0173/kWh, with renewable fraction of 53.03% and curtailment ratio of 17.11%, while Egypt had an LCOE of $0.0261/kWh, renewable fraction of 50.35%, and curtailment ratio of 27.67%.

    What to keep in mind

    The abstract reports results for only two locations, so the findings are limited to those case studies. It also reports that Egypt needed substantially larger battery capacity than Türkiye, and that discount and inflation rates strongly affected LCOE, while wind speed and load demand strongly affected operational performance.

    • A hybrid photovoltaic-wind-battery-hydrogen microgrid achieved near-zero loss of power supply probability for EV charging.
    • Türkiye’s optimized system had a lower levelized cost of energy than Egypt’s.
    • Egypt required much larger battery storage capacity than Türkiye in the study.
    • Discount and inflation rates had the largest effect on levelized cost of energy.
    • Wind speed and load demand were major drivers of operational performance.

  • DBSCAN identified clusters for early IT configuration item detection

    What the study found

    The study found that an adapted DBSCAN, or Density-Based Spatial Clustering of Applications with Noise, clustering method could be used for early identification of configuration items in an enterprise information system. It also produced cluster sets describing monolithic, modular, and service-oriented architectures.

    Why the authors say this matters

    The authors conclude that implementing the results could automate synthesis of an information system architecture description. The study suggests this may improve information system development by identifying architectural entities for design, and that this set is smaller than the set of elementary information system functions.

    What the researchers tested

    The researchers adapted DBSCAN to the task of early identifying configuration items in the functional task "Formation and maintenance of an individual plan of a scientific and pedagogical employee at a department." They used 10 functions and 12 database entities as initial configuration items and compared DBSCAN with Divisive Analysis, Agglomerative Nesting, Chameleon, and k-means using the criteria "Cumbersome solution" and "Identification of separated CIs."

    What worked and what didn't

    According to the abstract, DBSCAN made it possible to form a solution from one cluster for monolithic and modular architectures and from two clusters for service-oriented architecture. It also detected separated configuration items. These values were reported as the best among the selected clustering methods and algorithms for the stated criteria.

    What to keep in mind

    The summary does not describe detailed limitations of the study. The results are reported for one functional task and a specific set of initial configuration items, so the scope described in the abstract is limited.

    • An adapted DBSCAN clustering method was used for early identification of configuration items in an enterprise information system.
    • The study considered 10 functions and 12 database entities as initial configuration items.
    • DBSCAN produced cluster sets describing monolithic, modular, and service-oriented architectures.
    • DBSCAN detected separated configuration items and was reported as best on the two stated comparison criteria.
    • The authors say the results could help automate information system architecture description synthesis.

  • Atlantic Ocean δ13CDIC reconstructed from sparse historical data

    What the study found

    The study reconstructed stable carbon isotope composition of marine dissolved inorganic carbon, or δ13C DIC, across the Atlantic Ocean. The authors report that the resulting dataset expands coverage, improves spatial and temporal continuity, and includes a gridded three-dimensional product for the Atlantic.

    Why the authors say this matters

    The authors say these reconstructed datasets provide new opportunities to resolve regional carbon cycle dynamics, validate Earth system models, refine estimates of ocean carbon uptake on decadal timescales, and extend climate reanalysis records. They also suggest the data can support assessment of decadal trends.

    What the researchers tested

    The researchers used a probabilistic machine learning method called Gaussian Process Regression, or GPR, to reconstruct δ13C DIC in the Atlantic Ocean. They compiled data from 51 historical cruises, applied secondary quality control using crossover analysis, retained 37 cruises for model training, validation, and testing, and used GLODAPv2.2023 Atlantic data as predictors. They also applied the validated framework to a global interior ocean mapped climatology to produce a gridded Atlantic dataset.

    What worked and what didn't

    The trained GPR model achieved an average bias of −0.007 ± 0.082 ‰ and an overall uncertainty of 0.11 ‰, with uncertainty attributed to measurement, mapping, and input-variable errors. The reconstruction increased acceptable δ13C DIC samples from 8,941 to 68,435, a factor of 7.65, and improved resolution in longitude, latitude, depth, and time. The authors also report that numerical model-based validation confirmed the model's robustness.

    What to keep in mind

    Validation was limited by sparse observations, which is why the authors supplemented it with numerical model-based validation. The abstract does not describe other major limitations beyond the available observational coverage and the fact that the work is focused on the Atlantic Ocean.

    • δ13C DIC was reconstructed for the Atlantic Ocean using Gaussian Process Regression.
    • The study used data from 51 historical cruises, with 37 retained after quality control.
    • The reconstruction increased acceptable samples from 8,941 to 68,435.
    • Reported model performance included an average bias of −0.007 ± 0.082 ‰ and overall uncertainty of 0.11 ‰.
    • The authors produced both an expanded observational reconstruction and a gridded 3D Atlantic dataset.

  • Bank holding companies favored stronger affiliates during crisis

    What the study found

    The study found that parent firms did not reliably support distressed subsidiaries during the 2007–2009 financial crisis. Instead, bank holding companies (BHCs) favored stronger, more liquid, and more resilient affiliates when allocating internal capital.

    Why the authors say this matters

    The authors conclude that regulatory assumptions about automatic parent support do not match actual behavior. They suggest that monitoring sibling fragility across conglomerates, nonbank affiliates, and intra-group capital flows may be needed to improve financial stability.

    What the researchers tested

    The researchers examined the 2007–2009 financial crisis using novel measures of sibling distress and detailed parent-affiliate funding flows within BHCs. They assessed how capital moved across affiliates and how that pattern changed under stress.

    What worked and what didn't

    Capital allocation within BHCs disproportionately favored stronger affiliates. The results indicate that profitable parents became more selective under stress, while nonbank subsidiaries acted as important internal liquidity providers when external markets froze. Support for weaker affiliates was limited.

    What to keep in mind

    The abstract does not describe specific limitations beyond the study's focus on the 2007–2009 crisis and bank holding companies. The findings are presented as evidence about internal capital markets during that period, not as a broader test of all firms or crises.

    • Parent support for distressed subsidiaries was selective, not reliable, during the 2007–2009 crisis.
    • Bank holding companies allocated more capital to stronger, more liquid, and more resilient affiliates.
    • Profitable parents became more selective under stress.
    • Nonbank subsidiaries provided internal liquidity when external markets froze.
    • The authors say supervisory frameworks should monitor sibling fragility and intra-group capital flows.

  • Energy transition model shows long-term GDP gains and higher unemployment

    What the study found

    The study found that an energy transition in the Netherlands, modeled with a soft-linked energy system model and Computable General Equilibrium model, is associated with long-term gross domestic product gains but also with unemployment during the transition. The authors report that replacing fossil fuels with renewable alternatives raises GDP in the long run, while structural shifts in the economy drive unemployment.

    Why the authors say this matters

    The authors conclude that the negative effects seen in the energy transition scenarios should be weighed against climate-related economic damages not included in the business-as-usual case. They also say policy frameworks are needed to balance the socio-economic impacts of the energy transition with its environmental benefits, especially when financing is constrained.

    What the researchers tested

    The researchers linked an Energy System Model, a model of how energy technologies and fuels may develop over time, to a Computable General Equilibrium model, an economy-wide model used to estimate macroeconomic effects. They added hydrogen-related activities to the CGE model to better capture transitions in hard-to-abate sectors such as steel and chemical production. They compared a business-as-usual scenario, an Energy Transition scenario aligned with carbon neutrality, and a limited-capital-inflow version of the Energy Transition scenario.

    What worked and what didn't

    In the Energy Transition scenario, GDP was 1.7% higher in 2050 than in the business-as-usual scenario, and cumulative GDP over 2025–2050 increased. In the limited-capital-inflow version, cumulative GDP declined by €64 billion. Unemployment peaked around the middle of the transition in the Energy Transition scenario and then fell, ending about 0.2% above business as usual by 2050. Welfare losses were initially severe in the Energy Transition scenario and remained consistently higher in the limited-capital-inflow scenario.

    What to keep in mind

    The abstract does not describe detailed model limitations beyond the scenario assumptions. The authors also note that the business-as-usual comparison omits climate-related economic damages, which may affect how its macroeconomic advantage is interpreted.

    • The model links an energy system model with a Computable General Equilibrium model for the Netherlands.
    • The Energy Transition scenario is aligned with a carbon-neutrality target and includes hydrogen-related activities.
    • GDP is reported to be 1.7% higher in 2050 under the Energy Transition scenario than under business as usual.
    • Unemployment peaks during the transition period and is about 0.2% above business as usual by 2050.
    • A limited-capital-inflow version of the Energy Transition scenario shows lower cumulative GDP and persistently higher welfare losses.

  • Teacher context strongly shaped writing feedback practices

    What the study found

    The study found that the context in which teachers work has a significant impact on their feedback practices for second language writing. It also found that teachers’ own perceptions of specific contextual features strongly mediate the link between their beliefs and what they do in class.

    Why the authors say this matters

    The authors conclude that researchers should rethink the mediating role of context in the research agenda. They also say program developers and policy makers need curricula that integrate teacher input and support investment, and that language teacher educators should prepare teachers to analyze their own working contexts.

    What the researchers tested

    The researchers used a case study approach with 15 teachers in three Canadian program contexts: English for academic preparation for international students, undergraduate English language studies, and English as a second language settlement for immigrants. They collected in-depth interviews, analyzed teacher feedback on student writing, and used stimulated recalls, where teachers discussed student papers marked with their feedback.

    What worked and what didn't

    Findings confirmed that context mattered across the settings studied. The study also found that how individual teachers understood their context was a strong mediator of how their beliefs were translated into feedback practice.

    What to keep in mind

    The abstract does not provide detailed limitations beyond the fact that this was a case study in one country with 15 teachers. The findings are based on three specific program contexts in Canada and may not apply beyond those settings.

    • The study found that teaching context significantly affected second language writing feedback practice.
    • Teachers’ perceptions of specific contextual features strongly shaped how beliefs became classroom practice.
    • The study examined 15 teachers across three Canadian program contexts.
    • Data came from interviews, analysis of written feedback, and stimulated recall discussions.
    • The authors call for more attention to context in research, curriculum design, and teacher education.

  • MuST AKT was feasible and acceptable in a pilot trial

    What the study found

    The study found that the Multidisciplinary Support To Access living donor Kidney Transplant (MuST AKT) intervention was feasible with minor modifications and acceptable to transplant candidates and their social network. Participants also reported increased confidence in communicating about living donor kidney transplantation, which means receiving a kidney from a living donor.

    Why the authors say this matters

    The authors developed the intervention to increase living donor kidney transplantation, and the study suggests it may help transplant candidates address barriers to that process. The authors conclude that the intervention may be a workable approach for this setting.

    What the researchers tested

    The researchers conducted a pilot randomized controlled trial, which is a small study that randomly assigns participants to compare an intervention with standard care. Transplant candidates were assigned to standard care or MuST AKT, and the intervention involved four 60- to 90-minute sessions in which candidates and their social network addressed barriers to living donor kidney transplantation.

    What worked and what didn't

    The recruitment rate was 61% (43 of 71), and 38 participants were randomized equally between groups. Among intervention participants, one was excluded before starting, and of those who started, 100% completed 1 session, 94% completed 2 sessions, 83% completed 3 sessions, and 56% completed all 4 sessions; the intervention was delivered in a mean of 71 days, shorter than anticipated. Intervention participants reported increased confidence in communicating about living donor kidney transplantation, and all recommended MuST AKT to peers.

    What to keep in mind

    This was a pilot study with a small sample, so the findings are about feasibility and acceptability rather than effectiveness. The abstract also notes that participants and social network invitees gave recommendations for improvement, but it does not provide detailed limitations beyond the need for minor modifications.

    • MuST AKT was found to be feasible with minor modifications.
    • The intervention was acceptable to transplant candidates and their social network.
    • Recruitment reached 61% of eligible candidates, with 38 people randomized.
    • Completion declined across the four sessions, from 100% for session 1 to 56% for session 4.
    • Participants reported increased confidence in communicating about living donor kidney transplantation.

  • Trimethoprim-sulfamethoxazole was linked to fewer severe infections in IIM

    What the study found

    Trimethoprim-sulfamethoxazole (TMP/SMX), an antibiotic often used to prevent Pneumocystis jirovecii pneumonia, was associated with a lower risk of severe infections in patients with idiopathic inflammatory myopathy (IIM). The association was strongest for respiratory tract infections.

    Why the authors say this matters

    The authors suggest this matters because people with IIM are often treated with glucocorticoids and other immunosuppressants, which raise the risk of opportunistic infections. They conclude that TMP/SMX may help lower the risk of severe infections in this setting.

    What the researchers tested

    The researchers conducted a retrospective, single-center study of 89 patients with IIM who underwent remission induction therapy. After excluding 2 patients who developed Pneumocystis jirovecii pneumonia, they analyzed 87 patients and used Cox regression analysis to look for risk factors for severe infection during follow-up.

    What worked and what didn't

    Sixteen patients developed severe infections other than Pneumocystis jirovecii pneumonia, and respiratory infections were the most common. Patients who received TMP/SMX had a significantly lower incidence of severe infections and of respiratory tract infections than those who did not. In multivariate analysis, older age increased risk, while TMP/SMX use was associated with reduced risk.

    What to keep in mind

    This was a retrospective, single-center study, so the findings are based on one center's patient group. The abstract does not describe other limitations beyond the exclusion of 2 patients with Pneumocystis jirovecii pneumonia.

    • TMP/SMX use was associated with fewer severe infections in patients with IIM.
    • The reduction was also seen for respiratory tract infections.
    • Older age was linked to a higher risk of severe infection.
    • The study included 87 patients after excluding 2 who developed Pneumocystis jirovecii pneumonia.
    • The analysis was retrospective, single-center, and used Cox regression.

  • Coupled finite element method simulates frost-driven rock cracking

    What the study found

    The study found that the proposed thermo-hydro-mechanical coupled field-enriched finite element method can accurately simulate water-ice phase transition induced crack propagation in rock masses. It also simulates the evolution of the water-ice phase transition interface.

    Why the authors say this matters

    The authors conclude that the method can be used to simulate frost-induced cracking in slope rock masses in shallow cold regions. The findings indicate it may help represent coupled temperature, phase, fluid flow, and deformation processes in this setting.

    What the researchers tested

    The researchers proposed a THM coupled field-enriched finite element method based on thermo-poroelastic theory and the Allen–Chan equation, which describe coupled temperature, phase, fluid flow, and deformation. They introduced two field variables to characterize crack properties and water-ice phase transition, and solved the governing equations with a staggered Newton-Raphson iterative algorithm.

    What worked and what didn't

    The method was validated using homogeneous freezing of intact media, unidirectional freezing of cracking media, and freezing and deformation of intact sandstone, with comparisons to experimental results and previous numerical solutions. It was also validated for crack propagation in fractured rock masses against experimental results and finite-discrete element method results, and the numerical results showed accurate simulation of both crack propagation and the phase-transition interface evolution.

    What to keep in mind

    The abstract does not describe detailed limitations or failure cases. The reported validation and application are limited to the freezing-related rock-mass cases named in the summary.

    • A thermo-hydro-mechanical coupled field-enriched finite element method was proposed.
    • The method was designed to simulate water-ice phase transition induced crack propagation in fractured rock masses.
    • Validation was performed against experiments and prior numerical solutions for several freezing cases.
    • The numerical results showed accurate simulation of crack propagation and phase-transition interface evolution.
    • The method was applied to frost-induced cracking in slope rock masses in shallow cold regions.