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Atomic Spreading and Retraction of Supported Ultrasmall Alloy Nanoparticles under Reactive Oxygen at Elevated Temperatures

Switching between Limiting Charge Extraction Regimes in an Illuminated Semiconductor–Metal–Organic Framework Junction

Theoretical Insight into Proton-Coupled Energy Transfer in an Anthracene-Phenol-Pyridine Triad

Reductively Induced Aryl Transmetalation: An Alternative Catalytically Relevant Ni-Catalyzed Biaryl Coupling Mechanism

Iridium-Catalyzed <i>Z</i>-Selective Asymmetric Allylic Substitution Reaction via <i>Z</i>/<i>E</i> Kinetic Resolution

In-Cell Approach to Evaluate E3 Ligases for Use in Targeted Protein Degradation

Photoswitchable Arylazopyrazole-Functionalized Ag₈ Nanoclusters with Light-Modulated Photoluminescence

A Fast Neural Network for Isotopic Charge State Assignment

A Coupled Organic Solar Battery with 12.1% Efficiency

Chemotype- and Target-Driven Genome Mining for a New Natural Product Inhibitor of Bacterial Peptide Deformylase

Pinpointing Chemomechanical Origins of Na Cathode Degradation

Overcoming the Electrolyte-Derived Interphase Through Sequential Reactions for Stable Lithium Metal Anode

Correction to “Self-Adaptive Release of Stem Cell-Derived Exosomes from a Multifunctional Hydrogel for Accelerating MRSA-Infected Diabetic Wound Repair”

Identification of Actionable Targeted Protein Degradation Effector Sites through Site-Specific Ligand Incorporation-Induced Proximity (SLIP)

Unveiling Structure-Dynamic Processes in Crystals of 1D Cd(II) Coordination Polymers during the Elastic Flexible Events

Simple Strategies to Quantify and Control Polymer Threading into Micropores

Validation and adaptation of a Turkish version of the dietarian identity questionnaire

Dietarian identity reflects an individual’s cognitive, emotional, and behavioral orientation toward the consumption or avoidance of animal-based foods, including red meat, poultry, fish, eggs, and dairy. This study aimed to adapt and validate the Dietarian Identity Questionnaire (DIQ) for Turkish-speaking populations by establishing its cultural and linguistic suitability and examining dietarian identity profiles among different dietary patterns. The DIQ was adapted into Turkish and administered via a web-based survey to 487 Turkish-speaking adults (Mean age = 28.9 ± 10.7 years; 34.7% male, 64.1% female, and 1.2% non-binary). Participants were categorized as omnivores, vegetarians, or vegans based on self-reported dietary exclusions. Structural validity was assessed using Confirmatory Factor Analysis, while internal consistency, composite reliability, and convergent and discriminant validity were evaluated through Cronbach’s alpha and average variance extracted. Group differences across dietary identity profiles were examined using ANOVA, and interrelationships among the DIQ-Turkish (DIQ-T) subscales were explored through Pearson correlation analysis. The results indicated that the eight-factor DIQ-T demonstrated a strong model fit (χ2 (465) =1841.45, p &lt; 0.001, CFI = 0.924, TLI = 0.914, RMSEA = 0.078, SRMR = 0.050), confirming its structural validity. Reliability analysis indicated high internal consistency across all subscales, and significant differences were observed between omnivores and vegan/vegetarian groups across multiple dimensions (p &lt; 0.001), highlighting distinct psychological and motivational patterns associated with dietarian identity. These findings support DIQ-T as a valid and reliable instrument for assessing dietarian identity, providing a valuable tool for researchers and health professionals investigating dietary behaviors and their potential implications for public health and nutrition interventions.

Establishment of Cre/LoxP-mediated multifunctional reporter knock-in rats with the CRISPR system

Rats and mice are essential experimental animals in preclinical research, serving as models for various human diseases and contributing significantly to drug development. Rats offer distinct advantages over mice due to their larger size, which allows for more complex surgical procedures, repeated blood sampling, or sophisticated behavioral analysis. However, unlike the case with mice, genetically modified rat lines for achieving complex experimental objectives—such as tissue-specific gene knockout or visualization of specific cell populations—are still limited. We here established LoxP-mediated multifunctional reporter KI rats, enabling us to evaluate fluorescence, bioluminescence, and cell-killing assays simultaneously with only one gene-modified rat line. CRISPR/Cas12a, also known as CRISPR/Cpf1, was successfully used to insert the Cre sequence into a target locus to generate Cre driver rats. These results will contribute to the application of gene-modified rats for a more comprehensive understanding of physiology, and for extrapolation of their capabilities in preclinical research.

Does nematic order allow groups of elongated cells to sense electric fields better?

Collective response to external directional cues like electric fields helps guide tissue development, regeneration, and wound healing. In this study we focus on the impact of anisotropy in cell shape and local cell alignment on the collective response to electric fields. We model elongated cells that have a different accuracy sensing the field depending on their orientation with respect to the field. With this framework, we assume cells are better sensors if they can align their long axes perpendicular to the field. Elongated cells often line up with their long axes in the same direction — “nematic order” – does a nematic cell-cell interaction allow groups of cells to share information about their orientation to sense fields more accurately? We use simulations of a simple model to show that if cells orient themselves perpendicular to their average velocity, alignment of a cell’s long axis to its nearest neighbors’ orientation can in some circumstances enhance the directional response to electric fields. We also show that cell-cell adhesion modulates the accuracy of cells in the group.

Confidence in elections among U.S. local officials: Effects of social trust, partisanship and political ambition

The U.S. public’s confidence in elections is intensively studied in the last decade but little is known about election confidence among locally elected officials, whose roles and community status may influence public opinion. Using a nationally representative survey of local election officials, we compare election confidence among local elected officials with that of the general public. Local elected officials are more likely to trust both local and national elections. We theorize factors that affect local officials’ trust in elections, including partisan context, state leadership election denial levels, and political ambition. We show how social trust, partisan identity, and ambition significantly influence local officials’ confidence that local and national results reflect the intention of voters. We conclude by showing how the relative lack of intensive partisan polarization among local elected officials is especially important at keeping election distrust low among local officials.