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Similar to many other animal taxa, bird species worldwide have experienced significant population declines in recent years. Public awareness plays a key role in helping to conserve these species. We measured public interest toward 527 North American bird species. We used the Google Trends tool to quantify temporal trends in Google searches for species names. Overall, a majority of these bird species (78%) have been increasingly searched on Google since 2004. This stands in stark contrast to the proportion of increasing Google search trends for worldwide mammal (20%) and amphibian species (8%) found in previous studies. Interestingly, several metrics of extinction risk, such as the proportion of population loss and IUCN Red List status were not significant predictors of increasing Google searches. We did find significant differences in public attention toward bird species living in different breeding biomes and between native and introduced species. We highlight some of the groups whose species are experiencing increases in Google searches, e.g. wetland birds and introduced species, as well as those of critical conservation concern that are receiving less public attention, e.g. grassland birds. Together, these results highlight increased levels of public interest in declining North American bird populations in comparison to other vertebrates and interesting differences between bird groups.

The study uses indepth interviews to collect data=transcribe them and them code them to generate insights. The interview transcripts are available (identity stripped).

Differential metabolites and proteins (IFNT vs. CON)

This study investigates the impact of artificial intelligenc on urban carbon emission efficienc, addressing the limited empirical evidence on the environmental effects of AI in the existing literature. Using panel data from Chinese cities covering the period 2011–2023, we employ a fixed-effects model to examine the relationship between AI development and carbon emission efficiency. Our analysis reveals that AI significantly improves urban carbon emission efficiency. Mechanism analyses further show that AI promotes CE by stimulating green technological innovation, upgrading industrial structure, and accelerating the development of the digital economy. In addition, the effect is stronger in non-old industrial cities, resource-based cities, and regions with stronger intellectual property protection and higher human capital. These findings provide new insights into the environmental implications of AI and offer important policy implications for promoting low-carbon transition and sustainable urban development.

Maternal phubbing and paternal phubbing , parent-child and adolescents' Academic Achievement

Getah virus (GETV) is an emerging mosquito-borne pathogen with a broad host range, posing a significant threat to livestock and public health. Although putative N-linked glycosylation sites on its envelope proteins have been reported, their precise functional roles remain uncharacterized. In this study, tunicamycin inhibition assays demonstrated that GETV replication depends on the host glycosylation machinery. Enzymatic dissection revealed that the envelope proteins E1 and E2 carry complex-type N-linked glycans, which are critical for infectivity. By constructing envelope protein N-linked glycosylation site mutants, it was revealed that the E1-N141 site influences viral entry, whereas the E2-N262 site was critical for both viral adsorption and invasion. Mutations at all envelope protein N-linked glycosylation sites impaired the infectivity of progeny virions, resulting in delayed replication kinetics and significantly reduced viral titers. In ICR mice model, all mutants showed attenuated pathogenicity, with the E2-N200 mutation conferring the most substantial reduction in virulence. Notably, despite reduced virulence, some mutants (E1-N141A and E2-N200A/N262A) elicited neutralizing antibody responses stronger than those induced by wild-type virus and provided complete protection against subsequent challenge with wild-type GETV. These findings highlight the critical role of envelope protein glycosylation in GETV infectivity and pathogenesis, providing a molecular basis for rational vaccine design.

These files allow researchers with access to Cotality's Multiple Listing Service data to replicate Housing Market Congestion: The Effects of New For-Sale Supply on Home Prices and Sale Hazards by Elliot Anenberg and Daniel Ringo. The README file in the top-level folder provides instructions and descriptions of all the included files.

Channel Weighted Integration All Data

A Comprehensive Review on Production, Physicochemical Properties, Performance, and Emission Characteristics of Jatropha Biodiesel and Its Diesel Blends examines the potential of jatropha-based biodiesel as a sustainable alternative fuel for diesel engines. The review covers biodiesel production processes, feedstock characteristics, fuel properties, engine performance, and exhaust emissions. It analyzes the effects of various jatropha biodiesel–diesel blend ratios on engine efficiency, fuel consumption, combustion behavior, and pollutant emissions. The study highlights the environmental benefits, technical challenges, and future prospects of utilizing jatropha biodiesel to reduce dependence on fossil fuels and promote cleaner transportation and energy systems.

This is the final dataset comprised of eleven phenolic compounds and two non-phenolic controls to which the DFT protocol was applied. Geometries and vibrational frequencies were obtained at the ωB97X-D/def2-SVP level, while gas- and solvent-phase single-point energies were refined at ωB97X-D/def2-TZVP with CPCM water, methanol, and benzene. Gibbs free energies were constructed as ESP + Gcorr, and absolute SPLET/SET-PT free energies were evaluated using literature proton and electron free-energy constants. The dataset identifies HAT as the dominant mechanism in all environments examined.