bluuebunny/crossref_metadata_2025_split huggingface dataset:
Centers for Disease Control and Prevention Participation in Cobalt Magnet National-Level Radiological Exercise
Authors: Ansari Armin , Salame-Alfie Adela , Dopson Stephanie Anne 
Published: August 2023

Abstract
Since September 11, 2001, the Centers for Disease Control and Prevention (CDC) has increased efforts to prepare the agency and public health partners for response to potential nuclear/radiological disasters. During the week of May 16–20, 2022, the CDC participated in a national-level radiological emergency exercise, Cobalt Magnet 22 (CM22). The exercise scenario consisted of a notional, failed search mission for a radiological dispersal device (RDD, “dirty bomb”), followed by its explosion during a public event in a large US city. Testing radioanalytical laboratory capabilities during a nuclear/radiological incident was an exercise objective, and developing clear messaging on low-dose exposure and long-term health concerns was a primary output of the exercise. The CDC practiced its activation protocols, exercised the establishment of its updated Incident Management System structure for radiation emergencies, and identified critical staffing needs for this type of response.
Vegetation dynamics in Dhofar, Oman, from the Late Holocene to present inferred from rock hyrax middens
Authors: Horisk Kaitlyn E. , Ivory Sarah J. , McCorriston Joy , McHale Molly , Al Mehri Ali , Anderson Andrew , Anderson R. Scott , Al Kathiri Ali Ahmad 
Published: August 2023

AbstractArid regions are especially vulnerable to climate change and land use. More than one-third of Earth's population relies on these ecosystems. Modern observations lack the temporal depth to determine vegetation responses to climate and human activity, but paleoecological and archaeological records can be used to investigate these relationships. Decreasing rainfall across the Late Holocene provides a case study for vegetation response to changing hydroclimate. Rock hyrax (Procavia capensis) middens preserve paleoenvironmental indicators in arid environments where traditional archives are unavailable. Pollen from modern middens collected in Dhofar, Oman, demonstrates the reliability of this archive. Pollen, stable isotope (δ13C, δ15N), and microcharcoal data from fossil middens reveal changes in vegetation, relative moisture, and fire from 4000 cal yr BP to the present. Trees limited to moister areas (e.g., Terminalia) today existed farther inland at ~3100 cal yr BP. After ~2900 cal yr BP, taxa with more xeric affiliations (e.g., Senegalia) had increased. Coprophilous fungal spores (Sporormiella) and grazing indicator pollen revealed an amplified signal of domesticate grazing at ~1000 cal yr BP. This indicates that trees associated with semiarid environments were maintained in the interior desert during ~3000–4000 yr of decreasing rainfall and that impacts of human activity intensified after the transition to a drier environment.
Behavioral winter: Disillusionment with applied behavioral science and a path to spring forward
Authors: Gal David , Rucker Derek D. 
Published: August 2023

Abstract
Chater & Loewenstein thoughtfully express their disillusionment with contemporary applied behavioral science, particularly as it pertains to public policy. Although they fault an overemphasis on i-frame approaches, their proposed alternatives leave doubt regarding whether behavioral science has much, if anything, useful to offer policy. We offer two critical principles to guide and motivate more relevant behavioral science.
Moral psychology biases toward individual, not systemic, representations
Authors: Thomas Irein A. , Kay Nick R. , Laurin Kristin 
Published: August 2023

Abstract
We expand Chater & Loewenstein's discussion of barriers to s-frames by highlighting moral psychological mechanisms. Systemic aspects of moralized social issues can be neglected because of (a) the individualistic frame through which we perceive moral transgressions; (b) the desire to punish elicited by moral emotions; and (c) the motivation to attribute agency and moral responsibility to transgressors.
Structural problems require structural solutions
Authors: Strohminger Nina , Táíwò Olúfẹ́mi O. 
Published: August 2023

Abstract
Chater & Loewenstein criticize behavioral scientists' reliance on individual-level (“i-frame”) analysis, observing that this impoverishes policy interventions and stymies scientific progress. We extend their analysis to argue that structural factors bias and perpetuate behavioral science toward the i-frame. Addressing this problem fully will require structural changes to the training, peer review, and granting structures that confront research scientists.
Where next for behavioral public policy?
Authors: Chater Nick , Loewenstein George 
Published: August 2023

AbstractOur target article distinguishes between policy approaches that seek to address societal problems through intervention at the level of the individual (adopting the “i-frame”) and those that seek to change the system within which those individuals live (adopting the “s-frame”). We stress also that a long-standing tactic of corporations opposing systemic change is to promote the i-frame perspective, presumably hoping that i-frame interventions will be largely ineffective and more importantly will be seen by the public and some policy makers as a genuine alternative to systemic change. We worry that the i-frame focus of much of behavioral science has inadvertently reinforced this unhelpful focus on the individual. In this response to commentators, we identify common themes, build on the many constructive suggestions to extend our approach, and reply to concerns. We argue, along with several commentators, that a key role of behavioral public policy is to clarify how to build support for systemic reforms for which there is a broad consensus in the policy community, but which are opposed by powerful special interests.
When the definite article is used for possessive determiners in Kenyan English
Authors: Buregeya Alfred 
Published: August 2023

The literature on the use of articles in L2 varieties of English reports both the overuse and the underuse of the definite article. An excellent synoptic discussion of such apparently contradictory results is Sand (2004). Because L2 English varieties have developed in a sociolinguistic environment where they were in contact with indigenous languages, Sand (2004: 284–287) reviews what research findings show about ‘substrate influence on article use’. Two substrate languages she mentions (p. 286) as examples are Hindi (which is expected to have influenced Indian English) and Swahili (which is expected to have influenced Kenyan English). Regarding Indian English she writes: ‘Typically, we find reference to a “lack of articles” in descriptions of contact varieties like Indian English [ . . . ]’ (p. 286). But a few lines later she adds this:
However, Sedlatscheck (forthcoming: 105) also finds for his Indian data that, apart from zero articles, the largest number of what he calls ‘article substitutions’ occur in the category of the definite article. Thus, the definite article is used instead of the zero or indefinite article expected according to standard English usage. (p. 286)The quotation above suggests that both some overuse and some underuse of the definite article can be observed in Indian English, thus making the possible influence of a substrate language like Hindi (reported not to have articles) not so relevant.
Artificial Intelligence and Human Enhancement: Can AI Technologies Make Us More (Artificially) Intelligent?
Authors: Nyholm Sven 
Published: August 2023

AbstractThis paper discusses two opposing views about the relation between artificial intelligence (AI) and human intelligence: on the one hand, a worry that heavy reliance on AI technologies might make people less intelligent and, on the other, a hope that AI technologies might serve as a form of cognitive enhancement. The worry relates to the notion that if we hand over too many intelligence-requiring tasks to AI technologies, we might end up with fewer opportunities to train our own intelligence. Concerning AI as a potential form of cognitive enhancement, the paper explores two possibilities: (1) AI as extending—and thereby enhancing—people’s minds, and (2) AI as enabling people to behave in artificially intelligent ways. That is, using AI technologies might enable people to behave as if they have been cognitively enhanced. The paper considers such enhancements both on the level of individuals and on the level of groups.
Is Political Science (Still) Ignoring Religion? An Analysis of Journal Publications, 2011–2020
Authors: Kettell Steven 
Published: August 2023

ABSTRACTPolitical scientists involved in the study of religion have expressed concerns that religious themes have yet to be fully integrated into the mainstream of the discipline. According to a study of articles published in leading political science journals during the first decade of the twenty-first century, papers engaging with religion were relatively few in number and highly concentrated in only a few thematic and disciplinary areas. This article presents an updated analysis of the extent to which political science has engaged with the topic of religion by examining journal outputs for the period 2011–2020. The study finds no significant change in the patterns identified by the earlier research. Despite an overall increase in the quantity of political science articles on the subject of religion, the overall proportion has been relatively static, and the thematic and disciplinary focus of outputs remains narrow.
Toward a Better Understanding of the Global Ocean Copper Distribution and Speciation Through a Data‐Constrained Model
Authors: Liang Hengdi , Moffett James W. , John Seth G. 
Published: August 2023

AbstractCopper (Cu) is an important micronutrient for marine organisms, which can also be toxic at elevated concentrations. Here, we present a new model of global ocean Cu biogeochemical cycling, constrained by GEOTRACES observations, with key processes including sources from rivers, dust, and sediments, biological uptake and remineralization of Cu, reversible scavenging of Cu onto sinking particles, conversion of Cu between labile and inert species, and ocean circulation. In order for the model to match observations, in particular the relatively small increase in Cu concentrations along the global “conveyor belt,” we find it is necessary to include significant external sources of Cu with a magnitude of roughly 1.3 Gmol yr−1, having a relatively stronger impact on the Atlantic Ocean, though the relative contributions of river, dust, and sediment sources are poorly constrained. The observed nearly linear increase in Cu concentrations with depth requires a strong benthic source of Cu, which includes the sedimentary release of Cu that was reversibly scavenged from the water column. The processes controlling Cu cycling in the Arctic Ocean appear to be unique, requiring both relatively high Cu concentrations in Arctic rivers and reduced scavenging in the Arctic. Observed partitioning of Cu between labile and inert phases is reproduced in the model by the slow conversion of labile Cu to inert in the whole water column with a half‐life of ∼250 years, and the photodegradation of inert Cu to labile in the surface ocean with a minimum half‐life of ∼2 years at the equator.
Old Dog, New Trick: Reservoir Computing Advances Machine Learning for Climate Modeling
Authors: Bretherton Christopher S. 
Published: August 2023

AbstractPhysics‐informed machine learning (ML) applied to geophysical simulation is developing explosively. Recently, graph neural net and vision transformer architectures have shown 1–7 days global weather forecast skill superior to any conventional model with integration times over 1,000 times faster, but longer simulations rapidly degrade. ML that achieves high skill in both weather and climate applications is a tougher goal. This Commentary was inspired by Arcomano et al. (2023, https://doi.org/10.1029/2022GL102649), who show impressive progress toward that goal using hybrid ML, combining reservoir computing (RC) to a coarse‐grid climate model and coupling to a separate data‐driven RC model that interactively predicts sea‐surface temperature. This opens new horizons; where will the next ML breakthrough come from, and is conventional climate modeling about to be disrupted?
The Influence of Winter Snowpack on the Use of Summer Rains in Montane Pine Forests Across the Southwest U.S.
Authors: Bailey K. , Szejner P. , Strange Brandon , Monson R. K. , Hu Jia 
Published: August 2023

AbstractA two decade‐long megadrought, with likely anthropogenic causes, has impacted forest growth and mortality across the southwestern U.S. Given this event, and the future likelihood of similar climate challenges, it is important to understand how different water resources are used by semi‐arid forests in this region. Within the geographic domain of the North American Monsoon climate system, we studied seasonal water‐use in eight different Pinus ponderosa montane forests distributed across a climate gradient with varying contributions from winter and summer precipitation. We collected oxygen isotopes from precipitation, soil, and xylem water during two contrasting hydrologic years to determine how trees differentially use winter versus summer precipitation sources. Most trees switched from using snowmelt water as the primary source during the early‐summer hyper‐arid period, to monsoon rainwater during the late‐summer. However, during the low snowpack year, which represents the most common climate phenomenon during the megadrought, trees at all sites used less summer rain when compared to the higher snowpack year, demonstrating a drought‐induced antecedent influence of winter precipitation on the uptake of summer rain. A possible mechanism to explain the antecedent effect is an earlier snow disappearance during the low snowpack year weakening hydrologic connectivity within the soil profile, decreasing the soil infiltration of summer rains. However, in years with higher snowpack, the snow lasts longer, and this can improve the hydrologic connectivity within the soil profile. As a result, there is more infiltration of summer rains into the soils. This can enhance the maintenance of active shallow fine‐root biomass during the period when snowpack disappears, and monsoon rains have yet to arrive. These findings provide insight into how the seasonal interactions between major seasonal climate systems influence forest tree water use in the face of an extreme megadrought.
SatVITS‐Flood: Satellite Vegetation Index Time Series Flood Detection Model for Hyperarid Regions
Authors: Burstein Omer , Grodek Tamir , Enzel Yehouda , Helman David 
Published: August 2023

AbstractWe present the satellite vegetation index time series model for detecting historical floods in ungauged hyperarid regions (SatVITS‐Flood). SatVITS‐Flood is based on observations that floods are the primary cause of local vegetation expansion in hyperarid regions. To detect such expansion, we used two time‐series metrics: (a) trend change detection from the Breaks For Additive Season and Trend and (b) a newly developed seasonal change metric based on Temporal Fourier Analysis (TFA) and the growing‐season integral anomaly (TFA‐GSIanom). The two metrics complement each other by capturing changes in perennial plant species following extreme, rare floods and ephemeral vegetation changes following more frequent floods. Metrics were derived from the time series of the normalized difference vegetation index, the modified soil‐adjusted vegetation index, and the normalized difference water index, acquired from MODIS, Landsat, and Advanced Very High‐Resolution Radiometer. The timing of the change was compared with the date of the flood and the magnitude of change with its volume and duration. We tested SatVITS‐Flood in three regions on different continents with 40‐year‐long, systematic, reliable gauge data. Our results indicate that SatVITS‐Flood can predict flood occurrence with an accuracy of 78% and precision of 67% (Recall = 0.69 and F1 = 0.68; p < 0.01), and the flood volume and duration with NSE of 0.79 (RMSE = 15.4 × 106 m3 event−1), and R2 of 0.69 (RMSE = 5.7 days), respectively. SatVITS‐Flood proved useful for detecting historical floods and may provide valuable long‐term hydrological information in poorly documented areas, which can help understand the impacts of climate change on the hydrology of hyperarid regions.
Hippocampal representation during collective spatial behaviour in bats
Authors: Forli Angelo , Yartsev Michael M. 
Published: August 2023

AbstractSocial animals live and move through spaces shaped by the presence, motion and sensory cues of multiple other individuals1–6. Neural activity in the hippocampus is known to reflect spatial behaviour7–9 yet its study is lacking in such dynamic group settings, which are ubiquitous in natural environments. Here we studied hippocampal activity in groups of bats engaged in collective spatial behaviour. We find that, under spontaneous conditions, a robust spatial structure emerges at the group level whereby behaviour is anchored to specific locations, movement patterns and individual social preferences. Using wireless electrophysiological recordings from both stationary and flying bats, we find that many hippocampal neurons are tuned to key features of group dynamics. These include the presence or absence of a conspecific, but not typically of an object, at landing sites, shared spatial locations, individual identities and sensory signals that are broadcasted in the group setting. Finally, using wireless calcium imaging, we find that social responses are anatomically distributed and robustly represented at the population level. Combined, our findings reveal that hippocampal activity contains a rich representation of naturally emerging spatial behaviours in animal groups that could in turn support the complex feat of collective behaviour.
Intratubular crystal formation in the exposed dentin from nano-sized calcium silicate for dentin hypersensitivity treatment
Authors: Jeon Mi-Jeong , Park Jeong-Won , Seo Deog-Gyu 
Published: August 2023

AbstractThe aim of this study is to evaluate intratubular crystal formation from the experimental material consisting of dicalcium silicate (C2S) and tricalcium silicate (C3S) with nano-scaled particle size. A total of twenty-four specimens were made by isolating 8 mm of the cervical part centered at the cementoenamel junction of extracted premolars. Twelve specimens were not treated and considered as control. The experimental material was applied to the other twelve specimens by brushing for 10,000 strokes. Each group was randomly divided into four subgroups according to the period of immersion in phosphate buffer saline (PBS) for 1, 30, 60, and 90 days each. The specimens were sectioned longitudinally and examined with scanning electron microscopy and energy dispersion X-ray spectroscopy. The intratubular crystal were formed in PBS and densely filled the dentinal tubules over time. The crystal formation occurred at a depth of more than 50 μm from the dentin surface. The Ca/P ratio of formed intratubular crystals was 1.68 after 3 months. The experimental material consisting of C2S and C3S with a nanoscale particle size can form hydroxyapatite-like crystals in dentinal tubules in PBS, and there is a possibility of reducing dentin hypersensitivity by blocking the dentinal fluid flow.
Investigation of thermal conductivity and thermal performance of heat pipes by structurally designed copolymer stabilized ZnO nanofluid
Authors: Pavithra K. S. , Parol Vinay , Brusly Solomon A. , Yashoda M. P. 
Published: August 2023

AbstractThe present study concentrated on estimating the thermal conductivity, stability, efficiency, and resistance of a heat pipe for heat exchangers, which were essential for many industrial applications. To achieve this, copolymer of amphiphilic poly (styrene-co-2-Acrylamido-2-methylpropane sulfonic acid) poly (STY-co-AMPS) was synthesized by free radical polymerisation technique. The dispersant were used for homogeneous solution and stabilization of ZnO nanofluids. The effect of dispersant on the thermal conductivity of nanofluids was analysed using a KD2 pro thermal property analyser. There is a significant increase in fluid conductivity had a nonlinear relationship with the volume fraction. The maximum enhancement was observed at an optimized concentration of dispersant at 1.5 vol%. Same time, the influence of dispersant agent on the thermal conductivity of nanofluids were compared with linear polyelectrolytes. Further, the experimental values were compared to the existing classical models based on the reasonable aggrement, the prepared nanofluids were employed as a working medium. The conventional screen mesh heat pipe and the temperature distribution to the thermal resistance of the heat pipe was investigated experimentally. The result shows, optimum concentration of dispersants on nanoparticles exhibits an enhanced heat efficiency as compared with the base fluids. Further, the thermal resistance and temperature distribution show decreased behaviour by increasing the particle volume fraction and dispersant concentration.
Smoking behavior change and the risk of pneumonia hospitalization among smokers with diabetes mellitus
Authors: Han Dong-Woo , Jung Wonyoung , Lee Kyu Na , Han Kyungdo , Lee Sei Won , Shin Dong Wook 
Published: August 2023

AbstractSmoking patients with diabetes mellitus (DM) are at greater risk of developing pneumonia. How smoking behavior changes affect the risk of pneumonia hospitalization, however, remains unclear. Therefore, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. From January 1, 2009 and December 31, 2018, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. A total of 332,798 adult patients with DM from the Korean National Health Insurance System database who underwent health screening examination between 2009 and 2012, and were smokers at the first health examination were included. During a mean follow-up of 4.89 years, 14,598 (4.39%) incident pneumonia hospitalization cases were identified. Reducers had a slightly increased risk of pneumonia hospitalization (aHR 1.06, 95% CI 1.01–1.10) compared to sustainers. Quitters did not have a significant association with incidence of pneumonia hospitalization. However, increasers had 13% higher risk of pneumonia hospitalization (aHR 1.13, 95% CI 1.07–1.18), regardless of whether initial smoking was light, moderate, or heavy. Our study showed that an increase in smoking intensity was associated with an increased risk of pneumonia hospitalization in people with DM. However, a protective effect of smoking reduction or cessation on pneumonia risk was not demonstrated.