bluuebunny/crossref_metadata_2025_split huggingface dataset:
Supplemental Nutrition Assistance Program issuance timing is associated with sugar-sweetened beverage marketing in the USA
Authors: Dai Jane , Kenney Erica L , Soto Mark J , Zhong Anthony , Moran Alyssa J , Broad Leib Emily M , Bleich Sara N 
Published: September 2024

Abstract

Objective:
Prior research has shown that there are more supermarket displays of sugar-sweetened beverages (SSB) during times when Supplemental Nutrition Assistance Program (SNAP) benefits are distributed (‘issuance periods’). This may contribute to inequitable purchasing and consumption. This study examines whether SSB marketing in weekly supermarket circulars, which retailers use to advertise products, is more prevalent during issuance periods compared to non-issuance periods.

Design:
We conducted longitudinal, difference-in-differences analyses of data extracted from weekly supermarket circulars of randomly selected SNAP-authorised retailers in six states. Analyses tested whether SSB advertisements (‘ads’) were more prevalent during SNAP issuance periods compared to non-issuance periods within states with distinct issuance periods (3, 5, 10 or 15 d), compared to one state with continuous benefit issuance (28 d; the ‘control’ state).

Setting:
Weekly online supermarket circulars collected from August to September 2019 were analysed in 2021.

Participants:
The study sample included 5152 circulars from 563 SNAP-authorised retailers in the states California, Connecticut, Nebraska, New Jersey and Texas (distinct issuance period states) as well as Florida (‘control’ state).

Results:
The estimated mean percentage of beverage ads classified as SSB ads during issuance days was 51·5 % compared to 48·4 % during non-issuance days (P < 0·001). In difference-in-differences analyses comparing to the ‘control’ state with continuous issuance, SSB ad counts were 2·9 % higher (95 % CI 1·9 %, 3·9 %) during SNAP issuance relative to non-issuance.

Conclusions:
SSB ads are slightly more prevalent in weekly supermarket circulars during SNAP issuance periods. Future research should explore the linkages between circular ads and SSB purchasing and consumption.
Genotypic and environmental influences on colour and curcuminoids of turmeric (Curcuma longa L.) genotypes across contrasting production environments
Authors: Raghuveer Silaru , Prasath Duraisamy , Yuvaraj Madduri Kotha , Aarthi Sounderarajan 
Published: September 2024

AbstractTurmeric (Curcuma longa L.) is rich in curcuminoids, which are polyphenolic pigments make it one of the most valuable spice and medicinal plant. The rising need for natural colours and the numerous health advantages of curcuminoids are driving up the demand of turmeric. In this study, the effects of genotype and genotype × environment on the colour characteristics of 21 turmeric genotypes were examined in three different production environments namely vertical farming, greenhouse, and field conditions. The pooled analysis of variance revealed highly significant (P < 0.05) differences among genotypes (G), environments (E), and G × E interaction for three colour parameters [L* (lightness index), A* (redness index), B* (yellowness index)]. Among the genotypes, the values ranged from 41.80 to 54.76, 13.92 to 24.83 and 31.72 to 47.67 for L*, A*, B*, respectively. Erode Local (22.34), IISR Pragati (24.56) and IISR Prathiba (26.55) recorded maximum A* value under vertical farming, greenhouse, and field conditions, respectively. Correlation analysis between colour values and curcuminoids revealed a significant positive correlation (r = 0.608–0.735, P < 0.001) between A* value and curcuminoids. Furthermore, stability analysis for A* value revealed 78.87% genotype × environment interaction (GEI) from the first two principal components of GGE biplot. IISR Pragati and Waigon Turmeric are best was most stable for A* value across environments. Our study revealed that colour traits among genotypes vary widely and are strongly impacted by genetic and environmental factors. These findings are crucial for future breeding programs to enhance turmeric's colour, ensuring high-quality, stable products for producers and consumers.
Agro-morphological evaluation of gamma ray-induced mutant populations and isolation of harder grain mutants in wheat (Triticum aestivum L.)
Authors: Rana Amit , Rana Vijay , Bakshi Suman , Sood Vinod Kumar 
Published: September 2024

AbstractGamma ray-induced mutations have been widely used to improve existing crop germplasm and create novel genetic variation. In the current study, a multi-year experiment was carried out to induce and isolate mutants with desirable agro-morphological traits and improved grain hardness through evaluation of induced mutant populations generated in soft-textured wheat variety HPW 89 irradiated with gamma ray dose of 250, 300 and 350 Gy. Mutagen sensitivity studies revealed a higher frequency of biological damage and seedling mortality for doses beyond 300 Gy in the M1 generation. However, the mutagenic treatments in the M2–3 populations significantly altered the magnitude of the biometrical traits. Results from the variability and association studies among traits showed that biological yield per plant, 1000-grain weight, spike length, grains per spike and plant height may be prioritized for higher genetic gain and could be used as selection criteria parameters. Multivariate analysis indicated induction of heterogeneity among mutant populations. Overall, 250–300 Gy doses were found ideal for a successful wheat mutation programme and 293 agro-morphologically superior wheat mutants were identified, out of which 108 had semi-hard grain texture based on single kernel characterization system. Among these, nine mutants were found to have the highest grain hardness index due to induced changes in one or both puroindoline genes. Hence, these mutants identified for several traits along with harder grain texture will serve as important genetic resource in future wheat-breeding programmes.
Large, Negative Atmospheric Carbon Monoxide Clumped Isotope Values Result From Kinetic Isotope Fractionation, Tracing OH• Reactivity
Authors: Henkes Gregory A. , Place Philip F. , Mak John E. 
Published: September 2024

AbstractBecause of its global abundance and reactivity with hydroxyl radicals (OH•), tropospheric carbon monoxide indirectly impacts the lifetimes of other OH•‐reactive gases, in particular methane and reactive hydrocarbons. The origin and chemistry of atmospheric CO have been studied using stable isotopes. Both 13CO and C18O undergo isotopic fractionation during its main chemical loss reaction, CO + OH•. The kinetic isotope effect (KIE) for 13CO is mass dependent, with a value of ∼5‰; 12CO reacts faster than 13CO with OH. Whereas C18O + OH• exhibits an inversely mass dependent KIE ∼−10‰. We hypothesize these KIEs result in a relative depletion of 13C18O, a CO clumped isotope. To test this, we collected CO from air samples on Long Island, NY, and discovered a −3 to −8‰ difference in the clumped isotope ratio, Δ31, relative to a random distribution of 13C and 18O in CO. A clear negative trend between [CO] and Δ31 is driven by two factors: (a) the atmospheric addition of CO from either a primary or secondary source with a Δ31 of ∼0‰ and (b) the continuing reaction of CO with OH•, leaving the remaining CO pool relatively depleted in 13C18O. This is analogous to the mechanism that determines CO Δ17O values. This study is among the first to show clumped isotope fractionation resulting from atmospheric chemistry and not thermal equilibration, which may inform the identification of clumped isotope KIEs in other atmospheric trace gases. These first Δ31 observations motivate future experimental and observational studies targeted at characterizing the clumped isotopes of CO sources, background CO, and experimentally fractionated CO.
Three-dimensional characteristics of the alveolar capillary network in infant and adult human lungs
Authors: Rößler Giacomo , Labode Jonas , Schipke Julia , Tschanz Stefan A. , Mühlfeld Christian 
Published: September 2024

Abstract
Background
A comprehensive understanding of vascular development in the human lung is still missing.

Methods
Therefore, samples of infant (n = 5, 26 days to 18 months postnatally) and adult (n = 5, 20 to 40 years) human lungs were subjected to unbiased stereological estimation of the total number of capillary loops. Serial sections were segmented to visualize the alveolar capillary network (ACN) in 3D.

Results
The number of capillary loops increased in parallel to lung volume from 26 days to 18 months, while in adults, it was not correlated to lung volume. In infant lungs, two capillary layers were separated by a connective tissue sheet with a growing number of interconnections. In adults, the mature ACN was almost, but not completely, single-layered. Here, the connective tissue was thinner but still centrally positioned, suggesting the persistence of interconnected parts of both layers of the previously double-layered ACN.

Conclusions
Small parts of the capillaries remain double-layered and seem to be grouped around the thin connective tissue sheet, suggesting a different mechanism of microvascular maturation than simple fusion of the two layers. These spots are a potential basis for further alveolarization after completion of bulk formation.

Impact

The 3D data offer a new conceptual approach to microvascular maturation of the lung.

Microvascular maturation rather results from reduction than simple fusion of capillary fragments.

Adult lungs maintain small double-layered capillary spots.

These could offer a potential source of regeneration.

The data are important to better understand normal and pathological lung development.
A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation
Authors: Ma Ziqi , Zuo Tao , Frey Norbert , Rangrez Ashraf Yusuf 
Published: September 2024

AbstractThe human microbiome is a complex and dynamic system that plays important roles in human health and disease. However, there remain limitations and theoretical gaps in our current understanding of the intricate relationship between microbes and humans. In this narrative review, we integrate the knowledge and insights from various fields, including anatomy, physiology, immunology, histology, genetics, and evolution, to propose a systematic framework. It introduces key concepts such as the ‘innate and adaptive genomes’, which enhance genetic and evolutionary comprehension of the human genome. The ‘germ-free syndrome’ challenges the traditional ‘microbes as pathogens’ view, advocating for the necessity of microbes for health. The ‘slave tissue’ concept underscores the symbiotic intricacies between human tissues and their microbial counterparts, highlighting the dynamic health implications of microbial interactions. ‘Acquired microbial immunity’ positions the microbiome as an adjunct to human immune systems, providing a rationale for probiotic therapies and prudent antibiotic use. The ‘homeostatic reprogramming hypothesis’ integrates the microbiome into the internal environment theory, potentially explaining the change in homeostatic indicators post-industrialization. The ‘cell-microbe co-ecology model’ elucidates the symbiotic regulation affecting cellular balance, while the ‘meta-host model’ broadens the host definition to include symbiotic microbes. The ‘health-illness conversion model’ encapsulates the innate and adaptive genomes’ interplay and dysbiosis patterns. The aim here is to provide a more focused and coherent understanding of microbiome and highlight future research avenues that could lead to a more effective and efficient healthcare system.
Detecting adaptive changes in gene copy number distribution accompanying the human out-of-Africa expansion
Authors: Otto Moritz , Zheng Yichen , Grablowitz Paul , Wiehe Thomas 
Published: September 2024

Abstract
Genes with multiple copies are likely to be maintained by stabilizing selection, which puts a bound to unlimited expansion of copy number. We designed a model in which copy number variation is generated by unequal recombination, which fits well with several genes surveyed in three human populations. Based on this theoretical model and computer simulations, we were interested in determining whether the gene copy number distribution in the derived European and Asian populations can be explained by a purely demographic scenario or whether shifts in the distribution are signatures of adaptation. Although the copy number distribution in most of the analyzed gene clusters can be explained by a bottleneck, such as in the out-of-Africa expansion of Homo sapiens 60–10 kyrs ago, we identified several candidate genes, such as AMY1A and PGA3, whose copy numbers are likely to differ among African, Asian, and European populations.
Multidimensional social influence drives leadership and composition-dependent success in octopus–fish hunting groups
Authors: Sampaio Eduardo , Sridhar Vivek H. , Francisco Fritz A. , Nagy Máté , Sacchi Ada , Strandburg-Peshkin Ariana , Nührenberg Paul , Rosa Rui , Couzin Iain D. , Gingins Simon 
Published: September 2024

AbstractCollective behaviour, social interactions and leadership in animal groups are often driven by individual differences. However, most studies focus on same-species groups, in which individual variation is relatively low. Multispecies groups, however, entail interactions among highly divergent phenotypes, ranging from simple exploitative actions to complex coordinated networks. Here we studied hunting groups of otherwise-solitary Octopus cyanea and multiple fish species, to unravel hidden mechanisms of leadership and associated dynamics in functional nature and complexity, when divergence is maximized. Using three-dimensional field-based tracking and field experiments, we found that these groups exhibit complex functional dynamics and composition-dependent properties. Social influence is hierarchically distributed over multiscale dimensions representing role specializations: fish (particularly goatfish) drive environmental exploration, deciding where, while the octopus decides if, and when, the group moves. Thus, ‘classical leadership’ can be insufficient to describe complex heterogeneous systems, in which leadership instead can be driven by both stimulating and inhibiting movement. Furthermore, group composition altered individual investment and collective action, triggering partner control mechanisms (that is, punching) and benefits for the de facto leader, the octopus. This seemingly non-social invertebrate flexibly adapts to heterospecific actions, showing hallmarks of social competence and cognition. These findings expand our current understanding of what leadership is and what sociality is.
Imaging the microstructure of lithium and sodium metal in anode-free solid-state batteries using electron backscatter diffraction
Authors: Fuchs Till , Ortmann Till , Becker Juri , Haslam Catherine G. , Ziegler Maya , Singh Vipin Kumar , Rohnke Marcus , Mogwitz Boris , Peppler Klaus , Nazar Linda F. , Sakamoto Jeff , Janek Jürgen 
Published: September 2024

Abstract‘Anode-free’ or, more fittingly, metal reservoir-free cells could drastically improve current solid-state battery technology by achieving higher energy density, improving safety and simplifying manufacturing. Various strategies have been reported so far to control the morphology of electrodeposited alkali metal films to be homogeneous and dense, but until now, the microstructure of electrodeposited alkali metal is unknown, and a suitable characterization route is yet to be identified. Here we establish a reproducible protocol for characterizing the size and orientation of metal grains in differently processed lithium and sodium samples by a combination of focused ion beam and electron backscatter diffraction. Electrodeposited films at Cu|Li6.5Ta0.5La3Zr1.5O12, steel|Li6PS5Cl and Al|Na3.4Zr2Si2.4P0.6O12 interfaces were characterized. The analyses show large grain sizes (>100 µm) within these films and a preferential orientation of grain boundaries. Furthermore, metal growth and dissolution were investigated using in situ electron backscatter diffraction, showing a dynamic grain coarsening during electrodeposition and pore formation within grains during dissolution. Our methodology and results deepen the research field for the improvement of solid-state battery performance through a characterization of the alkali metal microstructure.
A toolbox for surfacing health equity harms and biases in large language models
Authors: Pfohl Stephen R. , Cole-Lewis Heather , Sayres Rory , Neal Darlene , Asiedu Mercy , Dieng Awa , Tomasev Nenad , Rashid Qazi Mamunur , Azizi Shekoofeh , Rostamzadeh Negar , McCoy Liam G. , Celi Leo Anthony , Liu Yun , Schaekermann Mike , Walton Alanna , Parrish Alicia , Nagpal Chirag , Singh Preeti , Dewitt Akeiylah , Mansfield Philip , Prakash Sushant , Heller Katherine , Karthikesalingam Alan , Semturs Christopher , Barral Joelle , Corrado Greg , Matias Yossi , Smith-Loud Jamila , Horn Ivor , Singhal Karan 
Published: September 2024

AbstractLarge language models (LLMs) hold promise to serve complex health information needs but also have the potential to introduce harm and exacerbate health disparities. Reliably evaluating equity-related model failures is a critical step toward developing systems that promote health equity. We present resources and methodologies for surfacing biases with potential to precipitate equity-related harms in long-form, LLM-generated answers to medical questions and conduct a large-scale empirical case study with the Med-PaLM 2 LLM. Our contributions include a multifactorial framework for human assessment of LLM-generated answers for biases and EquityMedQA, a collection of seven datasets enriched for adversarial queries. Both our human assessment framework and our dataset design process are grounded in an iterative participatory approach and review of Med-PaLM 2 answers. Through our empirical study, we find that our approach surfaces biases that may be missed by narrower evaluation approaches. Our experience underscores the importance of using diverse assessment methodologies and involving raters of varying backgrounds and expertise. While our approach is not sufficient to holistically assess whether the deployment of an artificial intelligence (AI) system promotes equitable health outcomes, we hope that it can be leveraged and built upon toward a shared goal of LLMs that promote accessible and equitable healthcare.
Assessment of doped graphene in the removal of atrazine from water
Authors: Hellal Ahmed , Abdelsalam Hazem , Tawfik Walid , Ibrahim Medhat A. 
Published: September 2024

AbstractAtrazine is a widely used toxic herbicide that poses a threat to both the environment and human health. This study investigates the removal of Atrazine from water through armchair-hexagonal hexagonal graphene quantum dots (AHEX) simulations. The investigations are performed using density functional theory at the exchange–correlation hybrid functional B3LYP/3-21G level of theory. The activity of pristine AHEX, with a total dipole moment of 0.0 (debye), is enhanced by doping with boron (B), nitrogen (N), and sulfur atoms (S), resulting in increased total dipole moments of 8.99, 5.29, and 4.14 Debye respectively. This enhancement occurs without any structural deformation due to the doping process. Our results show significant adsorption capacity of the doped nanographene for Atrazine, evidenced by the high adsorption energies of 0.52 eV for boron, 0.62 eV for nitrogen, and 2.97 eV for sulfur. Charge distribution on the atrazine complexes further confirms effective interaction, with values of 0.03,  − 0.018, and 0.032 (e). UV–vis spectroscopy reveals that the prominent absorption peaks of boron and nitrogen-doped samples, initially at ~ 658.8 and 431 nm, undergo a redshift to ~ 676 and 444.3 nm after adsorption, respectively. This redshift aligns with the dominant excitation moving to lower energies following adsorption. Conversely, the sulfurated nanographene shows a blue shift from 980.66 to 485.41 nm. These findings highlight the potential of doped nanographene as an effective treatment for atrazine-contaminated water.
Probabilistic inference of epigenetic age acceleration from cellular dynamics
Authors: Dabrowski Jan K. , Yang Emma J. , Crofts Samuel J. C. , Hillary Robert F. , Simpson Daniel J. , McCartney Daniel L. , Marioni Riccardo E. , Kirschner Kristina , Latorre-Crespo Eric , Chandra Tamir 
Published: September 2024

AbstractThe emergence of epigenetic predictors was a pivotal moment in geroscience, propelling the measurement and concept of biological aging into a quantitative era; however, while current epigenetic clocks show strong predictive power, they are data-driven in nature and are not based on the underlying biological mechanisms driving methylation dynamics. We show that predictions of these clocks are susceptible to several confounding non-age-related phenomena that make interpretation of these estimates and associations difficult. To address these limitations, we developed a probabilistic model describing methylation transitions at the cellular level. Our approach reveals two measurable components, acceleration and bias, which directly reflect perturbations of the underlying cellular dynamics. Acceleration is the proportional increase in the speed of methylation transitions across CpG sites, whereas bias corresponds to global changes in methylation levels. Using data from 15,900 participants from the Generation Scotland study, we develop a robust inference framework and show that these are two distinct processes confounding current epigenetic predictors. Our results show improved associations of acceleration and bias with physiological traits known to impact healthy aging, such as smoking and alcohol consumption, respectively. Furthermore, a genome-wide association study of epigenetic age acceleration identified seven genomic loci.
CO2 and NO2 formation on amorphous solid water
Authors: Upadhyay Meenu , Meuwly Markus 
Published: September 2024

Context. The dynamics of molecule formation, relaxation, diffusion, and desorption on amorphous solid water (ASW) is studied in a quantitative fashion.
Aims. The formation probability, stabilization, energy relaxation, and diffusion dynamics of CO2 and NO2 on cold ASW following atom+diatom recombination reactions are characterized quantitatively.
Methods. Accurate machine-learned energy functions combined with fluctuating charge models were used to investigate the diffusion, interactions, and recombination dynamics of atomic oxygen with CO and NO on ASW. Energy relaxation to the ASW and into water internal degrees of freedom were determined from the analysis of the vibrational density of states. The surface diffusion and desorption energetics were investigated with extended and nonequilibrium MD simulations.
Results. The reaction probability is determined quantitatively and it is demonstrated that surface diffusion of the reactants on the nanosecond time scale leads to recombination for initial separations of up to 20 Å. After recombination, both CO2 and NO2 stabilize by energy transfer to water internal and surface phonon modes on the picosecond timescale. The average diffusion barriers and desorption energies agree with those reported from experiments, which validates the energy functions. After recombination, the triatomic products diffuse easily, which contrasts with the equilibrium situation, in which both CO2 and NO2 are stationary on the multinanosecond timescale.