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Efficiency enhancement of dual-absorber EAGeI3/CsPbI3 perovskite solar cells via nanostructured interfaces and plasmonic nanoparticles
The power of justifications to repair human-robot trust, even under moral disagreement
In silico identification of prospective p53-MDM2 inhibitors from ASINEX database using a comprehensive molecular modelling approach
Design, synthesis, and antimicrobial evaluation of new triazole-tethered tetrazole hybrids via DNA gyrase inhibition
Regioselective Separation and Extraction of Polyalkylthiophene by Metal–Organic Frameworks
AbstractHere, we report a novel method for selectively extracting high‐regioregularity (RR) poly(3‐hexylthiophene) (P3HT) from crude mixtures using metal–organic frameworks (MOFs) as nanoporous separation media. This approach leverages a kinetically driven “threading” mechanism in one‐dimensional MOF channels, which discriminate subtle differences in the bonding patterns, e.g., head‐head and head‐tail linkages, in the main chain. By employing both MOF column chromatography and batch‐scale separation techniques, higher RR fractions of P3HT were readily extracted from a crude mixture containing lower RR fractions.
Classifying metal passivity from EIS using interpretable machine learning with minimal data
A multi-stage ensemble framework for classifying pig vocalizations under noisy animal farm environments
Umpolung Activation of Bicyclobutanes via N‐Heterocyclic Carbene Catalysis
AbstractBicyclo[1.1.0]butane (BCB) has predominantly been explored as an electrophile or radical acceptor owing to its inherent polarity. However, its reactivity as a nucleophile remains largely unexplored. Herein, we report an umpolung strategy that reverses the innate polarity of bicyclobutane aldehydes via N‐heterocyclic carbene (NHC) catalysis. This transformation enables the construction of novel rigidified lactones and lactams via coupling with diverse electrophilic partners, including aldehydes, ketones, and imines. The synthetic versatility of this method highlights its potential for applications in medicinal chemistry by providing new building blocks with defined exit vectors.
Evaluating the effectiveness of the forest pests and diseases control methods on the industrial wood production using deep learning
Identification of hub genes associated with severe COPD via WGCNA and immune infiltration analysis
Abstract Chronic Obstructive Pulmonary Disease (COPD) is a progressive respiratory disorder characterized by persistent inflammation and airflow limitation. This study aimed to investigate immune cell infiltration patterns and identify key hub genes associated with severe COPD using integrative bioinformatics analysis. We analyzed transcriptomic data from the GSE76925 dataset, comprising lung tissue samples from 111 individuals with severe COPD (GOLD stage 3–4) and 40 healthy controls. Bioinformatic approaches included weighted gene co-expression network analysis (WGCNA), immune cell infiltration estimation via CIBERSORT, random forest classification, hierarchical clustering, and correlation with clinical parameters such as FEV1 and FEV1/FVC ratios. Our analysis revealed distinct immune infiltration patterns and identified several hub genes significantly correlated with COPD severity. Notably, FEV1/FVC remained a robust clinical marker of disease progression. The hub genes SUMO1, HMGB1, and RBM39 were found to be strongly associated with immune-related pathways and disease severity. This study highlights the value of integrating immune infiltration analysis and gene co-expression networks to better understand the pathogenesis of severe COPD. The identification of key hub genes, including SUMO1, HMGB1, and RBM39, provides insights into potential biomarkers and therapeutic targets for this respiratory disease. Further validation using independent cohorts and functional experiments is warranted to confirm their clinical utility.
Eruca sativa oil yields potential, fatty acids profiling, and physiological adaptations at the seed-filling stage with low-quality saline water irrigation
Assessment of lithium potential for future exploration in the Ghahavand Plain of Western Iran
Quercetin modulates the interplay between DNMT gene expression, oxidative stress, and trace elements in DHEA-induced polycystic ovary syndrome rat model
Dynamic Molecular Triplet Excitons Tune Lanthanide Emission Lifetime
AbstractOptical codes generated from the emission lifetimes of lanthanide complexes have received considerable attention for their potential application in multiplexed bioimaging and anti‐counterfeiting. However, such tunable lifetimes are limited to short ranges (0.01−1 ms). Herein, we describe a method that extends the emission lifetime using dynamic molecular triplet excitons in aggregation systems composed of lanthanide complexes. To demonstrate the conceptual method, molecular crystals comprising lutetium (Lu3+) and luminescent lanthanide (europium: Eu3+ or terbium: Tb3+) complexes with two organic ligands (2,2,6,6‐tetramethyl‐3,5‐heptanedionate and 2,7‐bis(diphenylphosphoryl)phenanthrene) were prepared. These molecular crystals exhibited persistent emission via slow triplet exciton migration between the phenanthrene units. The extended degree of the lifetime could be controlled between 1 and 152 ms by ligand modifications. This proposed lifetime‐tuning method should significantly expand the encoding capacity of lanthanide complexes.
Assessing the impact of misinformation during the spread of infectious diseases
Abstract In today’s digital era, the internet offers unprecedented access to information, but it also accelerates the spread of misinformation. Nowhere is this more problematic than in public health, as the COVID-19 pandemic clearly demonstrated. Misinformation can erode trust in science and health authorities, leading people to disregard expert guidance and adopt unverified treatments that endanger population health. We examine how misinformation alters the course of an infectious disease outbreak by modeling the simultaneous uptake of preventive measures and engagement in harmful behaviors. The model captures the competing influences of accurate information and misinformation on individual decision making. Our results show that even a modest influx of misinformation can greatly amplify disease transmission, deepening the epidemic’s severity. These findings highlight the urgent need for robust strategies to curb misinformation and support public health interventions during health crises.
Force‐Induced Ring Flipping in a Threaded Pillar[5]Arene
AbstractPillar[n]arenes are popular macrocycles used in various supramolecular systems and materials due to their unique host–guest properties and ease of synthesis. Their pillar shape originates from the cyclic arrangement of methylene‐bridged hydroquinone groups. They usually exist in one of two conformations where all the hydroquinone rings are oriented in the same direction (left or right), which is the source of their planar chirality. However, the controlled formation of pillar[n]arenes with intermediate conformations, for example, where only one ring is inverted, remains a challenge. Here we show how mechanical force can be used to reach this elusive conformation via the force‐induced flipping of a single hydroquinone ring in a pillar[5]arene‐based rotaxane. We show that the flipping motion can be controlled with the shape of the stopper and the axle, as well as with the nature of the pillar[5]arene substituents. This flipping behavior acts as a mechanical damper by slowing the scission of the polymer under tension. These results show how mechanical force can be used to access synthetically challenging supramolecular architectures, and we anticipate that this new dampening mechanism will prove useful in the formation of tougher materials.