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Hydrotime analysis and gene expression reveal that cytokinin mitigates the detrimental effects of salinity on seed vigor
Breaking Interference‐Driven Reversal Currents to Boost Single‐Molecule Conductance
Abstract Controlling charge transport in single‐molecule junctions is essential for advancing molecular electronics. This study demonstrates a novel strategy to dramatically enhance conductance in cross‐conjugated systems by preventing reversal current formation in destructive quantum interference (DQI) regimes. We design four molecules with meta‐substituted phenyl rings replaced by hydrogen‐bonded diketone ( OHO ) or boron‐coordinated rings ( NBN , NBO , OBO ), all maintaining hexagonal cross‐conjugated topology. Experimental and theoretical analyses reveal a counterintuitive conductance enhancement arising from suppressed reversal currents. Replacing the prototype m‐phenyl ring ( mPh ) with diketone ( OHO ) elevates conductance by one order of magnitude. Further boron coordination synergistically modulates quantum interference and energy levels, achieving an unprecedented two orders of magnitude increase in conductance in OBO (from 10 −5.39 G 0 to 10 −3.41 G 0 ). This work establishes a paradigm for efficient conductance modulation via targeted reversal current suppression, enabling rationally designed quantum‐interference molecular devices.
High-performance quatrefoil-slotted THz MIMO antenna for 6G applications with regression-based machine learning validation
Diagnostic value, sensitivity and specificity of CT, MRI, and PET in evaluation of cartilage invasion in laryngeal and hypopharyngeal cancer
Pubertal stage specific changes in T-cell subpopulations in healthy individuals
Awareness of HPV, HPV vaccine and HPV-associated cancers among Arab Americans
An integrated framework for evaluating landscape performance in tourism-oriented rural areas
Abstract Rural tourism has emerged as a key strategy for regional revitalization and sustainable development, yet the lack of a comprehensive and context-sensitive framework to evaluate landscape performance remains a critical gap. In this study, we developed a landscape performance evaluation (LPE) framework tailored to tourism-oriented rural areas by integrating the analytic hierarchy process with multidimensional indicators. Using Jiangxin Island as a case study, the framework was used to assess landscape sustainability across environmental, economic, social, and aesthetic dimensions. The results show that the overall landscape performance score for Jiangxin Island is 3.66, placing it in the Good category. Among the four major dimensions, environmental performance holds the highest weight (0.34) and scores 3.80, reflecting effective ecological protection and water quality management, while also revealing challenges in flood control and biodiversity conservation. Economic performance (weight: 0.24) achieves the highest score of 4.95, driven by increased employment and tourism revenue, though income sources remain concentrated in traditional sectors such as agriculture and hospitality. In contrast, social performance, despite its relatively high weight (0.28), scores the lowest at 2.72, indicating deficiencies in infrastructure, accessibility, and cultural experience. Aesthetic performance, with the lowest weight (0.14) and a score of 3.00, highlights generally acceptable visual conditions while still indicating the need for improved overall landscape coherence. These differentiated results not only validate the robustness of the proposed framework but also provide practical guidance for rural tourism development. Based on the findings, targeted strategies are recommended—such as enhancing infrastructure, improving biodiversity management, diversifying economic activities, and strengthening local cultural identity. This study contributes to the theoretical and practical understanding of landscape performance in tourism-oriented rural areas and offers a replicable framework to inform sustainable agricultural land management and multifunctional landscape planning in broader rural development contexts.
Repurposing Waste Chemicals to Engineer Redox Mediators for Selective Active Species Modulation in Photo‐Fenton‐Like Systems
Abstract Resource recovery from chemical wastes offers significant economic and environmental opportunities. In particular, repurposing recycled materials to construct light‐driven oxidant activation systems presents a promising strategy for organic wastewater remediation. However, in such a photo‐Fenton‐like system, precise regulation of active species remains a major challenge, limiting performance optimization. Here, we propose a sustainable approach using catalysts derived from deteriorated potassium iodide (KI) reagents. Theoretical analyses reveal that I − and I 3 − species from degraded KI function as effective redox mediators, generating internal electric fields that substantially lower energy barriers for carrier separation. The resulting catalytic system exhibits outstanding decontamination performance, achieving complete removal of the antibiotic sulfamethoxazole with a pseudo‐first‐order rate constant of 0.79 min −1 , representing 3.76‐ and 79.00‐fold enhancements over systems using standard KI and single‐based catalysts, respectively. Mechanistic studies confirm the efficient utilization of photogenerated carriers and the selective generation of singlet oxygen through non‐radical pathways. Notably, this novel mechanism shows broad applicability across various oxidant activation systems, with the I − /I 3 − redox mediator effectively modifying substrate electronic structures to enhance reactive oxidant interactions. This work introduces an innovative strategy for converting chemical wastes into high‐value materials, advancing sustainable wastewater treatment, and opening new avenues for resource‐efficient chemical applications.
Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
Abstract Alzheimer’s disease (AD) is a complex neurodegenerative disorder marked by widespread molecular changes, many of which remain poorly understood. While AD pathology progresses through specific brain regions, it is unclear whether these regions are affected similarly. Long non-coding RNAs (lncRNAs), emerging as key cellular regulators, remain largely uncharacterized in AD. Understanding how lncRNAs interact with protein-coding genes across brain regions could shed light on AD mechanisms and progression. To investigate this, we performed consensus weighted gene co-expression network analysis on 396 postmortem brain RNA-seq samples using a meta-analytic approach. Our analysis revealed substantial network rewiring in AD, particularly in the temporal cortex compared to the frontal cortex. The temporal cortex exhibited adaptive changes in gene interactions, while the frontal cortex showed a breakdown of healthy correlations—possibly reflecting regional differences in disease progression. We identified 46 protein-coding genes and 27 lncRNAs as key components in the AD network of the temporal cortex. Using known functions of protein-coding genes as reference points, we inferred potential functions for over 100 lncRNAs across both regions. These findings highlight novel lncRNA candidates potentially involved in AD and provide insights into their roles in both healthy and diseased brain states.
Impacts of green and non-green energies production and R&D on ecological and carbon footprints
Green synthesis and multi-Gaussian analysis of carbon quantum dots from orange peels: optical properties, phonon interactions, and Huang-Rhys factor characterization
Retraction Note: A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images
Liver injury in a preclinical model of short bowel syndrome is associated with impaired autophagy
Donor−π−Acceptor Conjugated Polymeric Photocatalyst for Efficient Deep Oxidation of NO Facilitated by Strong Asymmetric Local Electric Field
Abstract Photocatalytic conversion of low‐concentration NO x into NO 3 − is limited by strong exciton effects, rapid recombination of photogenerated charge carriers, and lack of localized bonding sites of oxygen species in catalysts. Directed enrichment of charge carriers and reactants (O 2 and NO) at active sites is essential for achieving high‐performance photocatalytic NO removal. Herein, a donor–π–acceptor (D–π–A) conjugated polymeric catalyst was engineered by covalently incorporating ultrathin carbon nitride nanosheets with electron‐donating π–pyrene–π molecules, which achieves an exceptional 82.2% NO elimination and 94.9% selectivity toward ionic products (NO 3 − sel. of 75.9%) with stable operation over 1000 mins, outperforming the previously reported carbon nitride photocatalysts. Rapidly reduces NO levels below safe concentration in a simulated environment chamber was also achieved. The generated asymmetric local electric field in D–π–A conjugated polymeric catalyst through intramolecular charge transfer between electron‐accepting heptazine rings and electron‐donating pyrene units facilitates exciton dissociation, accelerating charge transfer kinetics, and offer dual adsorption sites for capture O 2 and NO, thus favoring the O 2 activation for highly selective oxidization of NO to NO 3 − . This work highlights the pivotal role of asymmetric local electric fields in D–π–A architectures for advancing efficient photocatalytic NO oxidation.
Integrated tissue and serum proteomics on magnet-guided photothermal therapy using Au/Fe/Au trilayer nanodiscs
Feedforward control with personalized nursing measures on respiratory function and psychological status in patients with advanced lung cancer
Real-world survey on utilization of central antitussives and its health impact in patients with subacute and chronic cough in Japan
Abstract Despite guideline recommendations against the long-term use of central antitussives, actual clinical practice remains unclear. We aimed to investigate prescription patterns of central antitussives in patients with cough using Japanese claims data. In this retrospective cohort study, we evaluated patients aged ≥ 20 years with subacute and chronic cough from IQVIA Claims database. The primary outcome was the number of days central antitussives were prescribed. Additionally, we examined co-occurrence patterns of comorbidities and adverse events, specifically nausea and constipation, in relation to the duration of central antitussive prescription. Among 10,385 patients with subacute/chronic cough, 4431 (42.7%) were prescribed central antitussives. A longer duration of central antitussives prescription was significantly associated with a higher frequency of comorbidities. Specifically, the proportion of bronchial asthma/cough variant asthma, allergic rhinitis/chronic rhinosinusitis, and gastroesophageal reflux disease increased with the number of prescribed days of central antitussive. Adjusted odds ratio (95%CI) for constipation and nausea were 1.80 (1.18–2.76) and 2.06 (1.15–3.70), respectively, in patients prescribed central antitussives for > 57 days compared to those prescribed for 0–28 days. Appropriate treatment of comorbidities and prescription of central antitussives are warranted.