Narrow Set Research Articles

Five levels of famine prevention: towards a framework for the twenty-first century and beyond.

In recent years, the world has faced a rapid rise in humanitarian needs and an increasing risk of famine. Given the potential threats posed by conflict, climate change, economic shocks, and other issues, it is important to be prepared for the possibility of new crises in the future. Drawing on key informant interviews and a literature review, this paper assesses the state of the art in famine prevention, examining a range of technical and political approaches and analysing emerging lessons. Based on the findings, it identifies five levels of famine prevention: (i) averting famine; (ii) anticipating famine; (iii) reducing famine risks; (iv) altering famine risks; and (v) preventing famine risks.The paper argues that the current focus only partially addresses a relatively narrow set of levels. It concludes that a more comprehensive approach that engages all five levels simultaneously could contribute to a global famine prevention framework for the twenty-first century and beyond.

TamGen: drug design with target-aware molecule generation through a chemical language model

Generative drug design facilitates the creation of compounds effective against pathogenic target proteins. This opens up the potential to discover novel compounds within the vast chemical space and fosters the development of innovative therapeutic strategies. However, the practicality of generated molecules is often limited, as many designs focus on a narrow set of drug-related properties, failing to improve the success rate of subsequent drug discovery process. To overcome these challenges, we develop TamGen, a method that employs a GPT-like chemical language model and enables target-aware molecule generation and compound refinement. We demonstrate that the compounds generated by TamGen have improved molecular quality and viability. Additionally, we have integrated TamGen into a drug discovery pipeline and identified 14 compounds showing compelling inhibitory activity against the Tuberculosis ClpP protease, with the most effective compound exhibiting a half maximal inhibitory concentration (IC50) of 1.9 μM. Our findings underscore the practical potential and real-world applicability of generative drug design approaches, paving the way for future advancements in the field.

8.K. Scientific session: Promoting Healthier and Sustainable Diets – Evidence from the Interdisciplinary MedDietMenus4Campus

Abstract Food service comprises the production of meals consumed outside the home, including consumers from all age groups and in different sectors. This service sector has evolved through the years, providing an increasing number of meals, which have been drifting away from the Mediterranean Food Pattern. Food service is an important setting for public health interventions, educating consumers and modulating behaviours through the meals provided. Prior research on eating habits has mainly focused on a single stakeholder - typically consumers - and on a narrow set of outcome variables. Although these studies provide important clues about the determinants of adherence to food offer, research has yet to address this issue using an integrative approach of multiple stakeholders (e.g., the consumers, food providers, and decisors) across a set of different variables. Also, intervention initiatives, usually act only on the environment without strategies that efficiently engage all the stakeholders involved. In contrast, to promote behavioral change this research will focus on Social Marketing as it has been acknowledged as an effective strategy to enhance the health and well-being of consumers. Establishing and managing long-term partnerships that include different groups of stakeholders - consumers, government, retailers, and other players - are key elements in the application of mid and upstream social marketing to complex issues. The project’s main ambition is to change the food service paradigm, by creating and implementing a new healthy and sustainable food service concept complying with the Mediterranean diet, as well as solutions that comply with consumers’ new needs, and also developing and implementing strategies that engage all the stakeholders with this concept. We expect to create the reference in terms of food offer that will be demanded by consumers of the next generations and the standpoint to inspire the other food service sectors/ settings to achieve an effective and sustainable food offer change and positively influence food service consumers’ food patterns towards Mediterranean recommendations. In this workshop, the findings of the project will be presented focusing on examining the barriers and facilitators of adherence to the Mediterranean Diet in the menus offered in public high education institutes canteens in Portugal, Turkey, and Croatia. To promote the identification of effective intervention pathways, we take on an interdisciplinary approach, integrating the theoretical and methodological frameworks of Nutrition, Psychology, and Marketing. Key messages • Provide an overview of an interdisciplinary approach to promote healthier and more sustainable food offered in university canteens. • Present the pathway to develop social marketing strategies to engage different stakeholders in effective food behaviour change.

The (Il)legitimacy of Constitutional Amendments in Africa and Democratic Backsliding

Abstract In many African countries with hegemonic-party or de facto one-party systems, political leaders have historically exploited ostensibly proper constitutional amendments to undermine constitutionalism, a practice raising questions about the legitimacy, or lack thereof, of such amendments. This article argues that amendment legitimacy is contingent on achieving ‘broad consensus’, a concept endorsed by the African Charter on Democracy, Elections and Governance. Traditional amendment procedures, such as supermajorities and referendums, while crucial, have proven to be imperfect proxies for ensuring such broad consensus. To more effectively safeguard the core constitutional rules of democratic governance, this article contends that political parties must be recognised as key sites of power division and checks and balances. Accordingly, constitutional amendment procedures should require some level of cross-party approval for key amendments, thus preventing individual political groups, regardless of their dominance, from unilaterally altering fundamental rules of the game. This approach would not only enhance the legitimacy of amendments but also serve as a safeguard against contemporary forms of democratic backsliding, where incumbents exploit formal processes to undermine democratic competition. While this process might make constitutional changes more difficult, it would apply only to a narrow set of fundamental aspects of constitutional democracy. Moreover, it does not necessarily conflict with popular self-governance (and its majoritarian expression), but instead calls for an inclusive re-imagining of majoritarianism.

Organizations in the Space of Reasons

AbstractBounded rationality presents a challenge to the notion that virtue is a capacity for knowledge, suggesting that judgments concerning the salience of specific facts are, in some cases, an indication of one’s incapacity to appreciate the full range of normatively salient facts. This problem can be mitigated by linking an account of the virtues with a theory of organizations. From this perspective, virtue is inherently shaped by the norms structuring one’s role(s) and is linked to the complementary set of roles, that is, the organization, in which one is participating through the virtues of loyalty and obedience. Within this perspective, human cognitive limitations are made to be strengths, allowing one to focus on a narrow set of reasons for action linked with one’s role to better achieve salient aims as a member of the organization than one could as an isolated individual.

Making climate finance: toward everyday, historically informed, and reparative understandings

The centering of climate finance around a narrow set of institutions, sites, instruments, practices, and technologies is an achievement made possible by the domination of finance capital and policy elites. In this intervention, we shift the spotlight away from such elite projects and practices in favor of a wider understanding of urban climate finance—one that includes a more diverse set of sites, activities and participants. A wider and more inclusive conceptualization of urban climate finance requires accounting for the historical and ongoing role of finance in the production of climate vulnerability. Reconceptualized in this way, urban climate finance expands to include everyday financial life in cities around the world. Everyday climate finance is thus generated in places where the risks and uncertainties of climate change are currently unrecognized by policy elites as such, yet are being managed through improvised repertoires of financial practices. Additionally, (re)considering past financial practices as climate finance (e.g. historical residential redlining that produces climate vulnerability today), provides a rationale for demanding that past and present financial actors account for today’s climate injustices, and contribute to future reparative and abolitionist climate action.

Sediment bypass in a marl-dominated margin of a turbidite system in a narrow basin setting

Submarine sediment density flows play a pivotal role in transporting clastic material to the deep sea. The volume of sediment they transport, which bypasses a specific point or geographical location, shapes the stratigraphic record of the entire turbidite systems. Hence, recognition of bypass-dominated zones is crucial in facies prediction and understanding the architecture of turbidite systems. This understanding is linked to the economic aspects of exploring hydrocarbon deposits, the occurrence of geohazards that impact submarine infrastructure, the distribution of pollutants, and carbon sequestration.In the western part of the Ropianka Fm (Skole Nappe, Polish Outer Carpathians), three bed types showing evidence of sediment bypass were identified in the channel-mouth setting of marl-dominated slope and base-of-slope successions. The varying proportions of these bed types in studied successions and relationship with adjacent facies associations led to the identification of two channel-mouth zones. This study provides insights into deposits with characteristics differing from the previously described channel-mouth setting, evidenced by a significantly lower sand-to-mud ratio and smaller scale of erosional and depositional structures. The reported channel-mouth zones are interpreted as the marginal parts of a channel mouth, formed by subcritical flows. This study broadens the understanding of the channel-mouth setting by introducing dynamic and mud-dominated zones that experience sediment bypass and weak erosion. The identified bed types and typical characteristics of Marginal channel-mouth zones 1 and 2 can serve as a reference for interpreting marginal areas of channel-mouth settings in mud-dominated successions with scattered thin-bedded and coarse-grained deposits in other deep-water basins.

The Bayesian reservoir model of psychological regulation.

Social and behavioral scientists are increasingly interested the dynamics of the processes they study. Despite the wide array of processes studied, a fairly narrow set of models are applied to characterize dynamics within these processes. For social and behavioral research to take the next step in modeling dynamics, a wider variety of models need to be considered. The reservoir model is one model of psychological regulation that helps expand the models available (Deboeck & Bergeman, 2013). The present article implements the Bayesian reservoir model for both single time series and multilevel data. Simulation 1 compares the performance of the original version of the reservoir model fit using structural equation modeling (Deboeck & Bergeman, 2013) to the proposed Bayesian estimation approach. Simulation 2 expands this to a multilevel data scenario and compares this to the single-level version. The Bayesian estimation approach performs substantially better than the original estimation approach and produces low-bias estimates even with time series as short as 25 observations. Combining Bayesian estimation with a multilevel modeling approach allows for relatively unbiased estimation with sample sizes as small as 15 individuals and/or with time series as short as 15 observations. Finally, a substantive example is presented that applies the Bayesian reservoir model to perceived stress, examining how the model parameters relate to psychological variables commonly expected to relate to resilience. The current expansion of the reservoir model demonstrates the benefits of leveraging the combined strengths of Bayesian estimation and multilevel modeling, with new dynamic models that have been tailored to match the process of psychological regulation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Rate-potential decoupling: a biophysical perspective of electrocatalysis

Abstract In this perspective, the chemical physics of biological electron transfer are considered in relation to artificial electrocatalyst development. Nature’s ability to access a wide range of chemical reactivities through a relatively narrow set of redox-active motifs, in part by decoupling electron transport rates from reaction driving forces, are suggested as a model for the future of electrocatalyst design and testing. Theoretical rationale and experimental precedents for this concept are put forth, outlining how emulating nature’s ability to arbitrarily tune tunneling currents with respect to donor/acceptor redox potentials – reaction driving forces – may enhance our control over electrocatalyst selectivity.

Exploring 2-Sulfonylpyrimidine Warheads as Acrylamide Surrogates for Targeted Covalent Inhibition: A BTK Story.

Targeted covalent inhibitors (TCIs) directing cysteine have historically relied on a narrow set of electrophilic "warheads". While Michael acceptors remain at the forefront of TCI design strategies, they show variable stability and selectivity under physiological conditions. Here, we show that the 2-sulfonylpyrimidine motif is an effective replacement for the acrylamide warhead of Ibrutinib, for the inhibition of Bruton's tyrosine kinase. In a few iterations, we discovered new derivatives, which inhibit BTK both in vitro and in cellulo at low nanomolar concentrations, on par with Ibrutinib. Several derivatives also displayed good plasma stability and reduced off-target binding in vitro across 135 tyrosine kinases. This proof-of-concept study on a well-studied kinase/TCI system highlights the 2-sulfonylpyrimidine group as a useful acrylamide replacement. In the future, it will be interesting to investigate its wider potential for developing TCIs with improved pharmacologies and selectivity profiles across structurally related protein families.

Using machine vision algorithms for characterizing gas-liquid slug flows in vertical pipes

Slug flow, characterized by the distinctive interfacial structures of Taylor bubbles surrounded by liquid films and bridged by aerated liquid slugs, is a dynamically complex two-phase flow pattern exist in many oil and gas, and energy systems. Accurate and precise quantification of such complex flow behaviour is essential for optimal design, safe operation, and reliable modelling of these systems. Existing image-based measurement techniques mostly rely on offline image processing algorithms and are often limited to a narrow set of flow characteristics primarily focusing on Taylor bubbles. Such constraints not only impede real-time flow monitoring and regulation but also leave liquid slug characteristics unmeasured, resulting in an inability to accurately determine the flow characteristics and extract instantaneous void fraction signals. Present study examined the performance of adaptive thresholding (AT) and background subtraction (BS) algorithms in capturing slug flow characteristics. It was found that while the former excels in Taylor bubbles detection and the latter in small bubbles identification, neither individually addresses the accurate measurement of both flow structures' characteristics. This observation, along with the mentioned restrictions of existing algorithms are the main reason for developing the present combined machine vision-based algorithm. While unlocking the ability to extract instantaneous void fraction signals, this new approach facilitates online measurement of a wide range of key flow characteristics, including Taylor bubble length, velocity, void fraction, and surrounding liquid film thickness; liquid slug length and void fraction; and slug unit length, void fraction, and frequency. Parallel to the high-speed imaging, time-series void fraction data was collected using two capacitance sensors installed alongside the imaging area on the pipe, providing benchmark data essential for the validation of the new algorithm's accuracy. The comparisons demonstrated a high degree of accuracy and precision for the combined algorithm. Quantitatively, the new algorithm measured key unit cell characteristics with RMS errors ranging from 2 to 10 %, while the BS and AT algorithms exhibited wider RMS error ranges of 8–46 % and 2–53 %, respectively. This underscores the new algorithm's potential as a transformative tool for slug flow analysis.

Behavioural compatibility, not fear, best predicts the looking patterns of chacma baboons

Animal vigilance is often investigated under a narrow set of scenarios, but this approach may overestimate its contribution to animal lives. A solution may be to sample all looking behaviours and investigate numerous competing hypotheses in a single analysis. In this study, using a wild group of habituated chacma baboons (Papio ursinus griseipes) as a model system, we implemented a framework for predicting the key drivers of looking by comparing the strength of a full array of biological hypotheses. This included methods for defining individual-specific social threat environments, quantifying individual tolerance to human observers, and incorporating predator resource selection functions. Although we found evidence supporting reactionary and within-group (social) vigilance hypotheses, risk factors did not predict looking with the greatest precision, suggesting vigilance was not a major component of the animals’ behavioural patterns generally. Instead, whilst some behaviours constrain opportunities for looking, many shared compatibility with looking, alleviating the pressure to be pre-emptively vigilant for threats. Exploring looking patterns in a thorough multi-hypothesis framework should be feasible across a range of taxa, offering new insights into animal behaviour that could alter our concepts of fear ecology.

Large-Scale Statistical Analysis of Defect Emission in hBN: Revealing Spectral Families and Influence of Flake Morphology.

Quantum emitters in two-dimensional layered hexagonal boron nitride are quickly emerging as a highly promising platform for next-generation quantum technologies. However, the precise identification and control of defects are key parameters to achieve the next step in their development. We conducted a comprehensive study by analyzing over 10,000 photoluminescence emission lines from liquid exfoliated hBN nanoflake samples, revealing 11 narrow sets of defect families within the 1.6 to 2.2 eV energy range. This challenges hypotheses of a random energy distribution. We also reported averaged defect parameters, including emission line widths, spatial density, phonon side bands, and Franck-Condon-related factors. These findings provide valuable insights into deciphering the microscopic origin of emitters in hBN hosts. We also explored the influence of the hBN host morphology on defect family formation, demonstrating its crucial impact. By tuning the flake size and arrangement, we achieve selective control of defect types while maintaining high spatial density. This offers a scalable approach to defect emission control, diverging from costly engineering methods. It emphasizes the significance of the morphological aspects of hBN hosts for gaining insights into defect origins and expanding their spectral control.

Convergent expansions of keystone gene families drive metabolic innovation in a major eukaryotic clade.

Many remarkable innovations have repeatedly occurred across vast evolutionary distances. When convergent traits emerge on the tree of life, they are sometimes driven by the same underlying gene families, while other times many different gene families are involved. Conversely, a gene family may be repeatedly recruited for a single trait or many different traits. To understand the general rules governing convergence at both genomic and phenotypic levels, we systematically tested associations between 56 binary metabolic traits and gene count in 14,710 gene families from 993 species of Saccharomycotina yeasts. Using a recently developed phylogenetic approach that reduces spurious correlations, we discovered that gene family expansion and contraction was significantly linked to trait gain and loss in 45/56 (80%) of traits. While 601/746 (81%) of significant gene families were associated with only one trait, we also identified several 'keystone' gene families that were significantly associated with up to 13/56 (23%) of all traits. These results indicate that metabolic innovations in yeasts are governed by a narrow set of major genetic elements and mechanisms.

Effects of Screen-Based Leisure Time on 24 Subsequent Health and Wellbeing Outcomes: A Longitudinal Outcome-Wide Analysis.

Previous research has shown that screen-based leisure time is related to physical and mental health, relationships, and prosocial behaviors. However, it remains unclear whether screen-based leisure time causally affects wellbeing, as previous studies have relied on cross-sectional data, focused on one type of media use (e.g., social media, video games, or internet), or assessed a narrow set of outcomes. We used three waves (2016, 2017, 2019) of national longitudinal data from the New Zealand Attitudes and Values Study to investigate the effects of screen-based leisure time on 24 parameters of wellbeing (n = 11,085). We operationalized screen-based leisure as the sum of time spent browsing the internet, using social media, watching/reading the news, watching videos, and playing video games. We followed the outcome-wide analytic design for observational data by performing a series of multivariable regression models estimating the effect of screen-based leisure time on 24 wellbeing outcomes and assessed potential unmeasured confounding using sensitivity analyses. In our primary analysis with the total sample, total screen-based leisure time was associated with a very modest decrease in body satisfaction and a very modest increase in body mass index. Possible evidence of associations was found with increases in number of hours spent exercising and volunteering each week, as well as decreases in number of average daily hours of sleep, self-control, and subjective health. Screen-based leisure time has the potential to affect health and wellbeing. Results are discussed in light of the high prevalence of screen-based leisure time.

Effect of artificial lung fiber bundle geometric design on micro- and macro-scale clot formation.

The hollow fiber membrane bundle is the functional component of artificial lungs, transferring oxygen to and carbon dioxide from the blood. It is also the primary location of blood clot formation and propagation in these devices. The geometric design of fiber bundles is defined by a narrow set of parameters that determine gas exchange efficiency and blood flow resistance, principally: fiber packing density, path length, and frontal area. These same parameters also affect thrombosis. This study investigated the effect of these parameters on clot formation using 3D printed flow chambers that mimic the geometry and blood flow patterns of fiber bundles. Hollow fibers were represented by an array of vertical micro-rods (380 μm diameter) arranged with three packing densities (40%, 50%, and 60%) and two path lengths (2 and 4 cm). Blood was pumped through these devices corresponding to three mean blood flow velocities (16, 20, and 25 cm/min). Results showed that (1) clot formation decreases dramatically with decreasing packing density and increasing blood flow velocity, (2) clot formation at the outlet of the fiber bundle enhances deposition upstream, and consequently (3) greater path length provides greater clot-free fiber surface area for gas exchange than a shorter path length. These results can help guide the design of less thrombogenic, more efficient artificial lung designs.

Evolutionary déjà vu? A case of convergent evolution in an ant-plant association.

Obligatory ant-plant symbioses often appear to be single evolutionary shifts within particular ant lineages; however, convergence can be revealed once natural history observations are complemented with molecular phylogenetics. Here, we describe a remarkable example of convergent evolution in an ant-plant symbiotic system. Exclusively arboreal, Myrmelachista species can be generalized opportunists nesting in several plant species or obligately symbiotic, live-stem nesters of a narrow set of plant species. Instances of specialization within Myrmelachista are known from northern South America and throughout Middle America. In Middle America, a diverse radiation of specialists occupies understory treelets of lowland rainforests. The morphological and behavioural uniformity of specialists suggests that they form a monophyletic assemblage, diversifying after a single origin of specialization. Using ultraconserved element phylogenomics and ancestral state reconstructions, we show that shifts from opportunistic to obligately symbiotic evolved independently in South and Middle America. Furthermore, our analyses support a remarkable case of convergence within the Middle American radiation, with two independently evolved specialist clades, arising nearly simultaneously from putative opportunistic ancestors during the late Pliocene. This repeated evolution of a complex phenotype suggests similar mechanisms behind trait shifts from opportunists to specialists, generating further questions about the selective forces driving specialization.

Cost-effectiveness of COVID rapid diagnostic tests for patients with severe/critical illness in low- and middle-income countries: A modeling study.

Rapid diagnostic tests (RDTs) for coronavirus disease (COVID) are used in low- and middle-income countries (LMICs) to inform treatment decisions. However, to date, it is unclear when this use is cost-effective. Existing analyses are limited to a narrow set of countries and uses. The aim of this study is to assess the cost-effectiveness of COVID RDTs to inform the treatment of patients with severe illness in LMICs, considering real world practice. We assessed the cost-effectiveness of COVID testing across LMICs using a decision tree model, differentiating results by country income level, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) prevalence, and testing scenario (none, RDTs, polymerase chain reaction tests-PCRs and combinations). LMIC experts defined realistic care pathways and treatment options. Using a healthcare provider perspective and net monetary benefit approach, we assessed both intended (COVID symptom alleviation) and unintended (treatment side effects) health and economic impacts for each testing scenario. We included the side effects of corticosteroids, which are often the only available treatment for COVID. Because side effects depend both on the treatment and the patient's underlying illness (COVID or COVID-like illnesses, such as influenza), we considered the prevalence of COVID-like illnesses in our analyses. We found that SARS-CoV-2 testing of patients with severe COVID-like illness can be cost-effective in all LMICs, though only in some circumstances. High influenza prevalence among suspected COVID cases improves cost-effectiveness, since incorrectly provided corticosteroids may worsen influenza outcomes. In low- and some lower-middle-income countries, only patients with a high index of suspicion for COVID should be tested with RDTs, while other patients should be presumed to not have COVID. In some lower-middle-income and upper-middle-income countries, suspected severe COVID cases should almost always be tested. Further, in these settings, negative test results in patients with a high initial index of suspicion should be confirmed through PCR and, during influenza outbreaks, positive results in patients with a low initial index of suspicion should also be confirmed with a PCR. The use of interleukin-6 receptor blockers, when supported by testing, may also be cost-effective in higher-income LMICs. The cost at which they would be cost-effective in low-income countries ($162 to $406 per treatment course) is below current prices. The primary limitation of our analysis is substantial uncertainty around some of the parameters in our model due to limited data, most notably on current COVID mortality with standard of care, and insufficient evidence on the impact of corticosteroids on patients with severe influenza. COVID testing can be cost-effective to inform treatment of LMIC patients with severe COVID-like disease. The optimal algorithm is driven by country income level and health budgets, the level of suspicion that the patient may have COVID, and influenza prevalence. Further research to better characterize the unintended effects of corticosteroids, particularly on influenza cases, could improve decision making around the treatment of those with COVID-like symptoms in LMICs.

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.

We introduce mvSuSiE, a multi-trait fine-mapping method for identifying putative causal variants from genetic association data (individual-level or summary data). mvSuSiE learns patterns of shared genetic effects from data, and exploits these patterns to improve power to identify causal SNPs. Comparisons on simulated data show that mvSuSiE is competitive in speed, power and precision with existing multi-trait methods, and uniformly improves on single-trait fine-mapping (SuSiE) in each trait separately. We applied mvSuSiE to jointly fine-map 16 blood cell traits using data from the UK Biobank. By jointly analyzing the traits and modeling heterogeneous effect sharing patterns, we discovered a much larger number of causal SNPs (>3,000) compared with single-trait fine-mapping, and with narrower credible sets. mvSuSiE also more comprehensively characterized the ways in which the genetic variants affect one or more blood cell traits; 68% of causal SNPs showed significant effects in more than one blood cell type.

THE NARROW CONFINES OF INSTITUTIONAL ACTIVISM: THE U.S. SUPREME COURT, ABORTION, AND AMICUS CURIAE BRIEFS

Abortion disputes routinely occur in the judicial realm. Before the Supreme Court, from Roe to Dobbs, both reproductive rights and antiabortion movement groups and their allies engaged in institutional activism, filing amicus curiae (or friend-of-the-court) briefs to influence case outcomes. The number of such briefs has increased substantially over time. Yet few movement researchers investigate this form of institutional activism. We examine amicus briefs in over forty abortion cases from 1971 to 2022, discerning which amicus filers and frames influence justice voting, including for the pivotal moderate justices. We situate our work in resource mobilization, professional status, and framing theorizing, concluding that amicus briefs significantly shape judicial outcomes in abortion cases. However, our results show effective amicus strategies confront a narrow set of opportunities for judicial influence. Unsurprisingly, the Supreme Court battle over reproductive rights is heavily shaped by justice ideology, with filer and framing approaches—when they are influential—impacting mainly moderate justices.