While much discussion has focused on what researchers do and should do in second language proficiency assessment, less attention has been given to why persistent trends continue. This study investigated second language acquisition (SLA) researchers’ beliefs, reported practices, and decision-making rationales regarding proficiency assessment. Using an online survey, we collected responses from 111 SLA researchers. Findings revealed that while researchers generally endorsed recommended methodological standards, practical constraints—such as time, accessibility, and ease of administration—frequently influenced their reported practices. A consistent belief–practice gap emerged across several key areas. Notably, reduced redundancy tests were rated favorably for both validity and practicality, reflecting a growing shift toward efficient, validated tools. These findings suggest that although methodological awareness is high, practical barriers continue to challenge the adoption of more rigorous proficiency assessment practices in SLA research.

Social disadvantage can result in healthcare gaps and primary care may be a suitable healthcare context to identify unmet social needs. A variety of screening tools exists but none of them is consolidated in clinical practice. After reviewing the available instruments, we conducted a rigorous translation and trans-cultural adaptation into Italian language of the EveryONE social need screening tool questionnaire of the American Academy of Family Physicians. The translated questionnaire was piloted among 45 patients consecutively recruited in two general practices in the northern Italian city of Modena in 2023 and obtained excellent scores in comprehension and acceptability. The cross-cultural adaptation presented in this study is a first step towards a complete validation. A full validation study is needed to safely adopt EveryONE in routine general practice and to evaluate its effects on health provision.

The Indus Waters Treaty (IWT) of 1960, though subject to increasing stresses in recent decades (and “suspended” by India in 2025), was long hailed as one of the great success stories of international water disputes. A treaty negotiated to divide the Indus rivers to conform to the new territorial boundaries of the subcontinent’s 1947 partition, the IWT’s ultimate result was to effectively create two separate river basins operating in, and helping to define, distinctive Indian and Pakistani “national spaces” of water control—and “water nationalism.” However, another effect of this approach was also to encourage increasing internal competition—and conflict—over water within each country. This article argues that the roots of this structure go back to the abstract, and environmentally disconnected, form of “nationalism” that dictated the drawing of the original 1947 partition line, and to the ways that state water policy—and the IWT itself—reflected and responded to this.

Pneumococcal conjugate vaccines (PCVs) have influenced population dynamics of Streptococcus pneumoniae in the nasopharynx and may have contributed to increased Staphylococcus aureus colonization. This study assessed the prevalence of colonization, antibiotic resistance patterns, and associated risk factors for colonization and co-colonization of S. aureus and S. pneumoniae in healthy Peruvian children post-PCV introduction. Nasopharyngeal swabs from children <24 months were collected in five hospitals in Lima (2018–2019). Microbiological identification and antibiotic susceptibility tests were performed, and multinomial regression evaluated factors influencing colonization. Among 894 children, 19.7% were colonized with S. aureus, 20.3% with S. pneumoniae, and 2.9% co-colonized. Of the 176 S. aureus strains isolated, 1.7% were methicillin resistant and 20.5% were clindamycin resistant; no resistance to trimethoprim-sulfamethoxazole (SXT) was found. Among 182 S. pneumoniae strains isolated, 48.9% were resistant to macrolides, 74.7% to SXT; no resistance to penicillin was found. Breastfeeding and vaccination with PCV13 were associated with a reduced prevalence of S. aureus colonization, while vaccination with PCV13 increased the prevalence of S. pneumoniae colonization, mainly by non-vaccine serotypes. This study highlights the need to continue monitoring the changes in colonization dynamics and antimicrobial resistance patterns after vaccine introduction, to guide empirical therapy and future vaccine strategies.

An increasing number of disaster relief programs rely on weather data to trigger automated payouts. However, several factors can meaningfully affect payouts, including the choice of data set, its spatial resolution, and the historical reference period used to determine abnormal conditions to be indemnified. We investigate these issues for a subsidized rainfall-based insurance program in the U.S. using data averaged over 0.25° × 0.25° grids to trigger payouts. We simulate the program using 5x finer spatial resolution precipitation estimates and evaluate differences in payouts from the current design. Our analysis across the highest enrolling state (Texas) from 2012 to 2023 reveals that payout determinations would differ in 13% of cases, with payout amounts ranging from 46 to 83% of those calculated using the original data. This potentially reduces payouts by tens of millions annually, assuming unchanged premiums. We then discuss likely factors contributing to payout differences, including intra-grid variation, reference periods used, and varying precipitation distributions. Finally, to address basis risk concerns, we propose ways to use these results to identify where mismatches may lurk, in turn informing strategic sampling campaigns or alternative designs that could enhance the value of insurance and protect producers from downside risks of poor weather conditions.