Universal Strategies Research Articles

Interfacial Work Function Modulation of Wide Bandgap Perovskite Solar Cell for Efficient Perovskite/CIGS Tandem Solar Cell.

Wide-bandgap perovskite solar cells (PVSCs), a promising top-cell candidate for high-performance tandem solar cells, often suffer from larger open-circuit voltage (VOC) deficits as the bandgap increases. Surface passivation is a common strategy to mitigate these VOC deficits. However, understanding the mechanisms underlying the differences in passivation effects among various types of molecules remains limited, which is crucial for developing universal interface passivation strategies and guiding the design of passivation molecules. This study compares the passivation effects of phenethylammonium iodide (PEAI) and piperazine iodine (PI) on VOC in wide-bandgap PVSCs with a 1.66eV bandgap. Results show that PI significantly enhances VOC, whereas PEAI does not. This improvement is attributed to increased built-in voltage (Vbi) in PI-treated PVSCs, stemming from a lower work function, which enhances carrier selectivity at the contact interfaces. The champion power conversion efficiency of the PVSCs is 21.47%, with a VOC of 1.23V and a VOC loss of 0.43V. The strategy is also effective for PVSCs with bandgaps of 1.56 and 1.81eV. By layering semi-transparent perovskite top cells onto copper indium gallium selenide (CIGS) bottom cells, a PCE of 26.36% is achieved in perovskite/CIGS 4-terminal tandem solar cells.

Towards Robust Routing: Enabling Long-Range Perception with the Power of Graph Transformers and Deep Reinforcement Learning in Software-Defined Networks

Deep Reinforcement Learning (DRL) has demonstrated promising capabilities for routing optimization in Software-Defined Networks (SDNs). However, existing DRL-based routing algorithms are struggling to extract graph-structured information and constrained to a fixed topology, suffering from the lack of robustness. In this paper, we strengthen the advantages of Graph Neural Networks (GNNs) for DRL-based routing optimization and propose a novel algorithm named Graph Transformer Star Routing (GTSR) to enhance robustness against topology changes. GTSR utilizes the multi-agent architecture to enable each node to make routing decisions independently, and introduces a Graph Transformer to equip agents with the capabilities of handling topology changes. Furthermore, we carefully design a global message-passing mechanism with a virtual star node and a path-based readout method, enhancing the long-range perception of traffic and the detection of potential congestion for routing decision-making. Moreover, we construct a multi-agent cooperation mechanism to facilitate the learning of universal perceptual strategies and reduce the amount of computation. Extensive experiments on multiple real-world network topologies demonstrate that GTSR is capable of adapting to unseen topology changes without retraining and decreases end-to-end latency by at least 47% and packet loss rate by at least 10% compared to all baselines, highlighting strong robustness.

Multicolor and sign-invertible circularly polarized luminescence from nonchiral charge-transfer complexes assembled with N-terminal aromatic amino acids.

Circularly polarized luminescence (CPL) materials with precisely controlled emission colors and handedness are highly desirable for their promising applications in advanced optical technologies, but it is rather challenging to obtain them primarily due to the lack of convenient, powerful, and universal preparation strategies. Herein, we report a simple yet versatile solution route for constructing multicolor CPL materials with controllable handedness from nonchiral luminescent charge-transfer (CT) complexes through co-assembly with chiral N-terminal aromatic amino acids. The resulting ternary co-assemblies exhibit obvious CPL signals from 489 to 601 nm, covering from blue via green and yellow to orange-red. Notably, the CPL sign can be readily inverted by changing the substituents at the α-position of amino acids or the molecular structure of achiral electron donors due to effects on the hydrogen bonds, CT interactions, and stacking patterns. This work provides a new insight into developing CPL materials with tunable color and inverted handedness.

Inequities in Unmet Oral Care Needs after a Swedish Subsidization Reform: An Intersectional Analysis.

The main strategy to achieve equal provision of oral care in Sweden has been to offer partial subsidies for the adult population. However, their effects on unmet oral care needs (UOCNs) have not been extensively assessed. This study used an intersectionality framework to examine 1) the overall frequency of UOCNs, 2) single-indicator inequities, and 3) intersectional inequities in total UOCNs and financial-related UOCNs (FUOCNs) in Sweden before and after implementation of a partial subsidization reform in 2008. Data from 12 national surveys conducted over 2004 to 2018 were divided into 3 periods: prereform (2004 to 2007), early postreform (2008 to 2011), and late postreform (2012 to 2018). The analytic sample consisted of 98,177 respondents aged 24 to 84 y. Changes in the prevalence of UOCNs were estimated by inferential statistics. Single-indicator and intersectional inequities were examined by intersectional analysis of individual heterogeneity and discriminatory accuracy, across 48 strata defined by gender, age, educational level, income, and immigrant status. The prevalence of total UOCNs and FUOCNs decreased significantly early after the reform, followed by a slight rebound. Relative inequities increased by education, income, and immigrant status after the reform and decreased for age. The discriminatory accuracy for both types of UOCNs was moderate and improved marginally but significantly with the inclusion of the intersectional strata. Most intersectional strata showed greater FUOCN inequities after the reform. Contrary to expected, larger inequities in FUOCNs were identified in most intersectional strata after the reform. The moderate discriminatory accuracy suggested that Sweden could benefit from future strategies to foster equity that are universal but proportionately more intense among the intersectional strata with greater inequities (proportionate universalism). This analysis highlighted the benefit of adopting the principle of proportionate universalism as a strategy to reduce unmet oral care needs in Sweden. This would mean implementing universal strategies and specific support measures for the most vulnerable social groups as a future oral care policy change in Sweden.

Gestational Diabetes Mellitus: New Thinking on Diagnostic Criteria.

Currently, there is a lack of standardized diagnostic criteria for gestational diabetes mellitus (GDM), making it a subject of ongoing debate. The optimal diagnostic method and screening strategy for GDM remain contentious. In this review, we summarize the criteria and methods for diagnosing GDM, and perform a comparison between universal and selective screening strategies. Therefore, this review aims to highlight the following: (1) The most widely adopted criteria for GDM are those established by the International Association of Diabetes and Pregnancy Study Groups (IADPSG). (2) Evidence from cohort studies suggests that the one-step diagnostic method is associated with improved pregnancy outcomes and appears more cost-effective compared to the two-step method. (3) Universal screening is more cost-effective than selective screening, which may overlook a significant number of women with GDM. Additionally, various methods have been proposed for early pregnancy screening (before 14 weeks). Finally, an outlook is presented for the diagnosis of GDM, emphasizing the importance of large-scale randomized controlled trials (RCTs) to provide stronger evidence for future support.

Recent Advances in DNA Origami-Enabled Optical Biosensors for Multi-Scenario Application.

Over the past few years, significant progress has been made in DNA origami technology due to the unrivaled self-assembly properties of DNA molecules. As a highly programmable, addressable, and biocompatible nanomaterial, DNA origami has found widespread applications in biomedicine, such as cell scaffold construction, antimicrobial drug delivery, and supramolecular enzyme assembly. To expand the scope of DNA origami application scenarios, researchers have developed DNA origami structures capable of actively identifying and quantitatively reporting targets. Optical DNA origami biosensors are promising due to their fast-to-use, sensitive, and easy implementation. However, the conversion of DNA origami to optical biosensors is still in its infancy stage, and related strategies have not been systematically summarized, increasing the difficulty of guiding subsequent researchers. Therefore, this review focuses on the universal strategies that endow DNA origami with dynamic responsiveness from both de novo design and current DNA origami modification. Various applications of DNA origami biosensors are also discussed. Additionally, we highlight the advantages of DNA origami biosensors, which offer a single-molecule resolution and high signal-to-noise ratio as an alternative to traditional analytical techniques. We believe that over the next decade, researchers will continue to transform DNA origami into optical biosensors and explore their infinite possible uses.

Regulation mechanism of optimal bubble diameter for ozone wastewater treatment

Efforts have been made to enhance ozone utilization efficiency and reduce energy costs in ozone-aerated wastewater treatment. Microbubbles, characterized by their large interfacial area and efficient gas-liquid mass transfer, are extensively used to boost ozone utilization. However, generating microbubbles demands significant energy, and their actual efficiency requires careful evaluation due to the absence of universal strategies for designing microbubbles with optimal performance. This study established an integrated mathematical model for ozone oxidation in wastewater treatment, based on comprehensive ozone reaction kinetics, microbubble mass transfer control theory, and mass conservation equations for gas-liquid phase components. Simulation results showed a pollutant removal rate with a prediction error of less than 20%, confirming the model's reliability. Further analysis revealed that although the initial mass transfer rate of 0.5 mm bubbles is lower than that of 0.1 mm bubbles, the total mass transfer quantity is reduced by only 8.7%. This suggests that an optimal bubble diameter can balance mass transfer efficiency and energy consumption. Based on this finding, we integrated ozone production and bubble generation energy consumption to develop a regulation mechanism for optimizing bubble diameter, minimizing total energy consumption while meeting target removal rates. Results indicate that the optimal bubble diameter is closely related to water depth: as depth increases, the optimal bubble diameter also increases. At a depth of 2.1 meters, the optimized bubble diameter reduces energy consumption by 33.5% and 16.2% compared to millimeter-sized and 100-micron bubbles, respectively. Sensitivity analysis shows that total energy consumption is more sensitive to changes in specific ozone energy consumption, while variations in bubble generation energy remain relatively stable. These results underscore the feasibility of using the proposed model to guide energy-efficient bubble size selection.

Strategies for implementing an electronic patient-reported outcomes-based symptom management program across six cancer centers

BackgroundElectronic patient-reported outcome (ePRO)-based symptom management improves cancer patients’ outcomes. However, implementation of ePROs is challenging, requiring technical resources for integration into clinical systems, substantial buy-in from clinicians and patients, novel workflows to support between-visit symptom management, and institutional investment.MethodsThe SIMPRO Research Consortium developed eSyM, an electronic health record-integrated, ePRO-based symptom management program for medical oncology and surgery patients and deployed it at six cancer centers between August 2019 and April 2022 in a type II hybrid effectiveness-implementation cluster randomized stepped-wedge study. Sites documented implementation strategies monthly using REDCap, itemized them using the Expert Recommendations for Implementation Change (ERIC) list and mapped their target barriers using the Consolidated Framework for Implementation Research (CFIR) to inform eSyM program enhancement, facilitate inter-consortium knowledge sharing and guide future deployment efforts.ResultsWe documented 226 implementation strategies: 35 ‘foundational’ strategies were applied consortium-wide by the coordinating center and 191 other strategies were developed by individual sites. We consolidated these 191 site-developed strategies into 64 unique strategies (i.e., removed duplicates) and classified the remainder as either ‘universal’, consistently used by multiple sites (N = 29), or ‘adaptive’, used only by individual sites (N = 35). Universal strategies were perceived as having the highest impact; they addressed eSyM clinical preparation, training, engagement of patients/clinicians, and program evaluation. Across all documented SIMPRO strategies, 44 of the 73 ERIC strategies were addressed and all 5 CFIR barriers were addressed.ConclusionMethodical collection of theory-based implementation strategies fostered the identification of universal, high-impact strategies that facilitated adoption of a novel care-delivery intervention by patients, clinicians, and institutions. Attention to the high-impact strategies identified in this project could support implementation of ePROs as a component of routine cancer care at other institutions.Trial registrationClinicalTrials.gov. NCT03850912. February 22, 2019.https://clinicaltrials.gov/ct2/show/NCT03850912?term=hassett&draw=2&rank=1

What COVID-19 Vaccination Strategy Should Be Implemented and Which Vaccines Should Be Used in the Post-Pandemic Era?

COVID-19 vaccines have reduced the negative health and economic impact of the COVID-19 pandemic by preventing severe disease, hospitalizations and deaths. In the new socio-economic normality, the COVID-19 vaccination strategy can be universal or high-risk and seasonal or not seasonal, and different vaccines can be used. The universal vaccination strategy can achieve greater health and herd immunity effects and is associated with greater costs than the high-risk vaccination strategy. In each country, the optimal COVID-19 vaccination strategy must be decided by considering the advantages and disadvantages and assessing the costs, health effects and cost-effectiveness of the universal and high-risk vaccination strategies. The universal vaccination strategy should be implemented when the objective of the vaccination program is to achieve the greatest health benefits from COVID-19 vaccination and when its incremental cost-effectiveness ratio is lower than EUR 30,000-50,000 per QALY or LYG. The use of adapted vaccines targeting currently circulating variants of SARS-CoV-2 is necessary to avoid the immune escape of emerging variants.

A functional trait-based assessment of urban street tree selection for Ethiopia

Urbanization in Ethiopia is rapidly reducing green space and biodiversity, and placing ecological stress on trees. Urban street trees (UST) can provide multiple ecosystem services, but need to cope with challenging street ecology and future climate risks. However, UST selection in Ethiopia is poor, and conventional trials and modern breeding are costly and time consuming to apply in Ethiopia. The main objective of the study was to identify potential UST species for two Ethiopian cities; Addis Ababa, and Arba Minch, by studying interspecific differences in functional traits. For the purpose, we created a database with list of 120 candidate UST gathered from multi-stakeholder workshop, literature review, and senior experts survey, and their ecological with their phenological and morphological features. Then we filtered 25 potential UST through framework analysis considering eco-morphological features of the trees. For the 25 species, we measured three types of plant functional traits: conservative traits (leaf mass per area and leaf dry matter content), acquisitive traits (leaf area, specific leaf area and leaf water content) and drought tolerance traits (leaf turgor pressure loss point, and leaf succulence index). Our results showed a strong trade-off between conservative and acquisitive traits, particularly between leaf dry matter content (LDMC) and specific leaf area (SLA) (r = −0.71), consistent with plant economic spectrum theory. Using PCA analysis, we identified three groups of potential USTs (Type I, II and III) that exhibit different adaptation strategies, consistent with Grime’s trait-based classification of universal plant adaptation strategies (CSR). Compared to species with high acquisitive traits (Type II and Type III), Type I species have high conservative and drought-tolerant traits shows better adaptation to harsh road environments, whereas Type II and Type III species may be more advantageous for urban parks and other resource-rich components of urban ecology. We also found significant variation in conservative, acquisitive and drought-tolerant traits among different species, indicating their different adaptation strategies. Our research advances the knowledge of plant adaptation in urban environments and provides a useful method for UST selection.

Holistic opportunistic maintenance scheduling and routing for offshore wind farms

Despite the high growth of the offshore wind market, the economic benefits of wind energy sources are still being undermined by its high operation and maintenance expenses. On the one hand, high maintenance expenses are a direct result of offshore-specific challenges such as complex ocean meteorology, varying vessel accessibility, and shifting transportation requirements. Besides, component degradation and weather conditions largely limit the ability of turbine operators to estimate a workable maintenance time window. This study aims to develop a holistic opportunistic maintenance strategy to address the practical challenges of offshore wind farms. The proposed strategy starts by deriving the preventive maintenance interval of each turbine component based on its degradation trend and predictable cost rates. Then, each turbine is maintained in groups based on the maintenance opportunities arising from preventive maintenance, unexpected failures, and cable damage. Following that, given weather condition forecasts of key parameters (wind speed and wave height), the proposed strategy optimizes the daily allocations and vessel routes to maintain turbines in a timely and cost-effective manner. Finally, experimental results based on real-world data from an actual offshore wind farm demonstrate that the proposed strategy outperforms several universal maintenance strategies in key metrics. Compared to the simple, widely employed, and easy-to-implement strategies, it can help reduce the total cost by 85.9 %, 65.9 %, and 41.6 %, respectively. This work helps turbine operators implement comprehensive and cost-effective maintenance schemes, which can lead to tariff duction and wind farm promotion benefits in the long term.

Ensuring equitable access, engagement and ability of socially and ethnically diverse participants to benefit from health promotion programmes: a qualitative study with parent carers of disabled children.

Equity is fundamental to health promotion programmes. However, unintentional or unseen barriers may exist for some underserved groups. We aimed to identify how to ensure equitable access and engagement for diverse parent carers of disabled children to benefit from health promotion programmes. We purposively sampled parent carers with potentially intersecting characteristics including those who self-identified as from ethnic groups, whose children were educated other than at school, with sensory impairments, or neurodiversity, and fathers. Participants were recruited through local and national organisations and parent carer networks. Data collection involved semi-structured individual interviews, which were transcribed verbatim and analysed thematically and iteratively alongside data collection. Core researchers performed early analysis independently, followed by research team and advisory group cross-validation. Thirty-six parent carers with intersecting characteristics across the sampled backgrounds participated. We identified various perceived barriers around finding out about, attending and engaging with health programmes. We organised the findings into five themes focused on concepts capturing challenges and potential solutions to contextual barriers to access and participation in health programmes. (i) Reach-judiciously using targeted and universal strategies to ensure equitable distribution; (ii) Credibility-demonstrating trustworthiness of those advertising and/or delivering the programme; (iii) Opportunity-ensuring that the programme is seen as fulfilling a relevant need; (iv) Reservations-addressing barriers of readiness to participate; and (v) Optimisation-tailoring to improve the inclusivity of the programme delivery. We identified modifiable factors that impede members of some social groups from engaging with, and benefiting from, health promotion programmes, and potential solutions. We advocate a multifaceted approach is required from outreach to delivery, tailored to be mindful of extant diverse needs of parent carers in underserved communities. We catalogue key considerations to inform implementation strategies to optimise equity in health programmes for parent carers. The implications are likely transferable to other interventions and contexts.

Evaluation and prediction of water-energy-food nexus under land use changes in the Yellow River Basin, China

Scientific understanding of the changes in the Water-Energy-Food (WEF) nexus is crucial for regional development. As the spatial foundation of human activities, land use plays a pivotal role in shaping WEF nexus relations. However, little research has fully explored the impacts of land use changes within the WEF nexus from the human activities perspective. In this study, a novel theoretical framework was developed according to the logic flow “human activities-land use–WEF nexus”. Based on the LUI, the WEF score, and the ICCD between land use changes and WEF, the WEF score of various scenarios was forecasted using the ARIMA model. The findings revealed the various land use structures and LUI among nine provinces, with more intensive land use in lower reaches. During two decades, a discernible increase in both WEF system scores and ICCD was found in YRB. The WEF scores of all provinces had surpassed the threshold of 0.3 for two decades, and Inner Mongolia grew the fastest from 0.223 to 0.524. The ICCD of nine provinces evolved with fluctuations, from an imminent unbalanced or near coordination level in 2000 to primary coordination or moderate coordination level in 2020. The optimal land use scenarios varied across provinces, attributed to factors such as resource and environmental constraints (Qinghai and Sichuan), specialized agriculture or industry (Gansu, Ningxia, and Inner Mongolia), differentiated zonal characteristics (Shaanxi and Shanxi), and rapid industrialization and urbanization (Henan and Shandong). To attain sustainable development within the YRB, it is imperative to formulate differentiated land use strategies in each province, and universal strategies should also be established for each land use type.

Respiratory syncytial virus vaccination strategies for older Canadian adults: a cost-utility analysis.

Respiratory syncytial virus (RSV) vaccines could reduce disease burden and costs in older Canadian adults, but vaccination program cost-effectiveness is unknown. We evaluated the cost-effectiveness of different age cut-offs for RSV adult vaccination programs, with or without a focus on people with higher disease risk due to chronic medical conditions. We developed a static individual-based model of medically attended RSV disease to compare alternative age-, medical risk-, and age-plus medical risk-based vaccination policies. The model followed a multiage population of 100 000 people aged 50 years and older. Vaccine characteristics were based on RSV vaccines authorized in Canada as of May 2024, with vaccine protection assumed to last 2 years (or 3 years in scenario analyses). We calculated sequential incremental cost-effectiveness ratios in 2023 Canadian dollars per quality-adjusted life year (QALY) from the health-system and societal perspectives, discounted at 1.5%. Although all vaccination strategies averted medically attended RSV disease, universal age-based strategies were not an efficient use of resources compared with medical risk-based strategies. Vaccinating adults aged 70 years and older with 1 or more chronic medical condition was the optimal strategy for a cost-effectiveness threshold of $50 000 per QALY. Results were sensitive to assumptions about vaccine price, but medical risk-based approaches remained optimal compared with age-based strategies, even when vaccine prices were low. Findings were robust to a range of alternative assumptions. Vaccination programs for RSV in some groups of older Canadians with underlying medical conditions are likely cost-effective. These findings can inform the design of vaccination programs.

Universal design of three-dimensional porous graphene-iron based promotors for kinetically rationalized lithium-sulfur chemistry

Lithium-sulfur (Li-S) batteries are widely deemed to be one of the most potential candidates for future secondary batteries because of their remarkable energy density. Nevertheless, notorious polysulfide shuttling and retarded sulfur reaction kinetics pose significant obstacles to the further application of Li-S batteries. While rationally designed highly active electrocatalysts can facilitate polysulfide conversion, the universal and scalable synthesis strategies need to be developed. Herein, a universal synthetic strategy to construct a series of three-dimensional (3D) porous graphene-iron (3DGr-Fe) based electrocatalysts involving 3DGr-FeP, 3DGr-Fe3C, and 3DGr-Fe3Se4 is exploited for manipulating the Li-S redox reactions. It has been observed that the implementation of a 3D porous Gr architecture leads to the well-designed conductive networks, while the uniformly dispersed iron nanoparticles introduce an abundance of active sites, fostering the lithium polysulfide conversion, thereby bolstering the overall electrochemical performance. The Li-S battery with the 3DGr-Fe based electrocatalyst exhibits remarkable capacity retention of 94.8% upon 100 times at 0.2 C. Moreover, the soft-packaged Li-S pouch cell based on such a 3DGr-Fe electrocatalyst delivers superior capacity of 1060.71 mA h g−1 and guarantees for the continuous 30 min work of fan toy. This investigation gives comprehensive insights into the design, synthesis, and mechanism of 3DGr-Fe based electrocatalysts with high activity toward efficient and durable Li-S batteries.

Antecedents, Characteristics, and Dynamics of IPV in the Israeli Jewish Ultra-Orthodox Community: A Cultural Exploration

Abstract Purpose This qualitative study explored Intimate Partner Violence (IPV) in the Israeli Jewish Ultra-Orthodox (JUO) community to better understand the cultural and religious risk factors and features underlying IPV in this under-researched sector. Method Semi-structured interviews implementing the Clinical Ethnographic Narrative Interviews approach were conducted with 15 JUO women currently living with or separated/divorced from their abusive partners who were victims of IPV. The interviews were analyzed using the Interpretive Phenomenological approach. Results Two key themes emerged from the analysis. The first theme involves the normalization and exacerbation of violence due to specific religious and societal norms that perpetuate silence and stigma. Factors such as early marriage, religious beliefs about the sanctity of marriage, disadvantaged childhood experiences, and distorted religious justifications contributed to the victims’ vulnerability and hindered their ability to seek help. The second theme is related to the specific features of the abuse. It covers a range of tactics employed by husbands, including financial oppression, social isolation, physical violence, and manipulation during pregnancy, all based on and justified by distorted religious concepts. Conclusions Though aspects of intergenerational abuse and control tactics to aggravate violence are common universal strategies in IPV, the findings here underscore the interplay between religious practices and societal expectations within the JUO community that contribute to the perpetration and perpetuation of IPV. These findings contribute to a better understanding of IPV in religious and traditional contexts and highlight the importance of tailoring interventions to address the needs of specific collectivistic and religious-based societies.

Emotion socialization in early childhood education and care – How preschool teachers support children's emotion regulation

Children’s emotional experiences during early childhood education and care (ECEC) are important for children’s emotional development and the socialization of this development by teachers. One central goal of emotion socialization is that it should help children acquire reflective regulation of their emotions, resulting in socially acceptable and age-appropriate experience and behavior. The current study is based on emotionally challenging situations of children in ECEC and aims at investigating, first, associations of teachers’ emotion coaching and co-regulation with children’s self-regulation, and, second, how teachers’ emotion coaching and co-regulation are linked with characteristics of the specific emotion episode and the involved child. Based on extensive video observations in the preschool setting (N = 19 groups), this study analyzed episodes with teacher interventions (N = 48 teachers) following a negative emotion expression by one or two children (N = 213 children aged 2–6 years old). Multilevel results show, first, that teachers’ initial emotion coaching and co-regulation through meta-cognitive prompts were associated with children’s independent self-regulation. Second, teachers’ emotion coaching and co-regulation were systematically associated with characteristics of the emotion episode, especially emotion quality and intensity. The findings support the assumption that emotion coaching and co-regulation are especially valuable tools to support self-regulation. However, emotion coaching and the different co-regulation levels and strategies do not turn out to be universal strategies that are used indiscriminately, but teachers use them depending on individual child and situational characteristics.

Intrapartum antibiotic prophylaxis to prevent Group B streptococcal infections in newborn infants: a systematic review and meta-analysis comparing various strategies

Early-onset Group B Streptococcus (EOGBS) infection leads to substantial morbidity and mortality in newborn infants. Intrapartum antibiotic prophylaxis (IAP) prevents EOGBS infection, but IAP strategies vary. The approach to the provision of IAP can be risk-based, universal or a combination of the two strategies. Previous systematic reviews reported that universal strategies might be most optimal in lowering EOGBS infection, but there is no consensus. Therefore, we aimed to provide up-to-date evidence on effectiveness of different strategies by comparing perinatal outcomes. A systematic search for EOGBS prevention strategies was performed in MEDLINE, Embase and Web of Science on May 2024. Studies were included if they reported on different strategies and outcomes of interest, including EOGBS infection, IAP administration and antimicrobial resistance regardless of publication date. Summary data was extracted from published reports. Study quality was assessed using the ROBINS-I tool. Random-effects meta-analyses were used to determine risk ratios (RR) and 95%-confidence intervals. PROSPERO registration CRD42023411806. A total of 6293 records were identified, of which 72 observational studies were included for synthesis with more than 10 million live births. Meta-analysis demonstrated that implementation of any strategy (n=34 studies, RR0.46 (0.36-0.60)), risk-based strategies (n=11 studies, RR 0.65 (0.48-0.87)), or universal strategies (n=16 studies, RR 0.37 (0.25-0.55)) was associated with a reduced risk of EOGBS infection compared to no strategy. In direct comparison, universal strategies were associated with a reduced risk of EOGBS compared to a risk-based strategy (n=17 studies, RR 0.41 (0.30-0.55)), while the proportion of women receiving IAP did not differ between risk-based (16%) and universal (21%) strategies (n=9 studies, RR 1.29 (0.95-1.75)). There was no antimicrobial resistance of EOGBS isolates to penicillin or ampicillin (n=11 studies). Any IAP strategy could reduce the risk of EOGBS infection without evidence of increasing antimicrobial resistance. Universal strategies give the largest reduction in the EOGBS burden, while not exposing a significantly higher proportion of pregnancies to IAP compared to risk-based strategies. UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction, a cosponsored programme executed by the World Health Organization.

CRISPR-Cas9 and Cas12a target site richness reflects genomic diversity in natural populations of Anopheles gambiae and Aedes aegypti mosquitoes

Due to limitations in conventional disease vector control strategies including the rise of insecticide resistance in natural populations of mosquitoes, genetic control strategies using CRISPR gene drive systems have been under serious consideration. The identification of CRISPR target sites in mosquito populations is a key aspect for developing efficient genetic vector control strategies. While genome-wide Cas9 target sites have been explored in mosquitoes, a precise evaluation of target sites focused on coding sequence (CDS) is lacking. Additionally, target site polymorphisms have not been characterized for other nucleases such as Cas12a, which require a different DNA recognition site (PAM) and would expand the accessibility of mosquito genomes for genetic engineering. We undertook a comprehensive analysis of potential target sites for both Cas9 and Cas12a nucleases within the genomes of natural populations of Anopheles gambiae and Aedes aegypti from multiple continents. We demonstrate that using two nucleases increases the number of targets per gene. Also, we identified differences in nucleotide diversity between North American and African Aedes populations, impacting the abundance of good target sites with a minimal degree of polymorphisms that can affect the binding of gRNA. Lastly, we screened for gRNAs targeting sex-determination genes that could be widely applicable for developing field genetic control strategies. Overall, this work highlights the utility of employing both Cas9 and Cas12a nucleases and underscores the importance of designing universal genetic strategies adaptable to diverse mosquito populations.

Idiosyncratic fixation patterns generalize across dynamic and static facial expression recognition

Facial expression recognition (FER) is crucial for understanding the emotional state of others during human social interactions. It has been assumed that humans share universal visual sampling strategies to achieve this task. However, recent studies in face identification have revealed striking idiosyncratic fixation patterns, questioning the universality of face processing. More importantly, very little is known about whether such idiosyncrasies extend to the biological relevant recognition of static and dynamic facial expressions of emotion (FEEs). To clarify this issue, we tracked observers’ eye movements categorizing static and ecologically valid dynamic faces displaying the six basic FEEs, all normalized for time presentation (1 s), contrast and global luminance across exposure time. We then used robust data-driven analyses combining statistical fixation maps with hidden Markov Models to explore eye-movements across FEEs and stimulus modalities. Our data revealed three spatially and temporally distinct equally occurring face scanning strategies during FER. Crucially, such visual sampling strategies were mostly comparably effective in FER and highly consistent across FEEs and modalities. Our findings show that spatiotemporal idiosyncratic gaze strategies also occur for the biologically relevant recognition of FEEs, further questioning the universality of FER and, more generally, face processing.