Enhanced Efficiency of Dye-Sensitized Solar Cells by Controlled Co-Adsorption Self-Assembly of Dyes.

Single dyes typically exhibit limited light absorption in dye-sensitized solar cells (DSSCs). Thus, cosensitization using two or more dyes to enhance light-harvesting efficiency has been explored; however, the aggregation of dyes can adversely affect electron injection capabilities. This study focused on the design and synthesis of three dyes with a common carbazole donor for DSSCs: , , and .

Amorphous Structure Benefits in MgVO/VO Composites for Zinc-Ion Storage: An Integration of Computational and Experimental Studies.

This study investigates the electrochemical properties of MgVO/VO composites for Aqueous Zinc-Ion Batteries (AZIBs) using both Density Functional Theory (DFT) calculations and experimental validation. DFT analysis reveals significant electron mobility and reactivity at the MgVO/VO interface, enhancing Zn storage capabilities. This theoretical prediction is confirmed experimentally by synthesizing a novel MgVO/VO composite that demonstrates superior electrochemical performance compared to pristine phases.

Forging green Horizons: Revealing Catalysts of pro-environmental behavior in emerging market.

In recent years, environmental pollution has started to threaten global economies. The understanding of consumer behavior within the context of sustainable development has become increasingly important to deal with this growing ecological complexity. Urbanization has accelerated in Pakistan, resulting in urban consumers raising more environmental concerns and promoting eco-friendly products.

Synthesis and characterization of homometallic cobalt complexes with metal-metal interactions.

Complexes featuring metal-metal bonds play crucial roles in catalysis and small molecule activation due to the synergistic effects between the metals. Here, we report a series of homometallic cobalt complexes with metal-metal interactions that have been successfully stabilized by a multidentate ligand platform. Theoretical studies on metal-metal interactions in these cobalt complexes are discussed.

Ultralow Roll-off Thermally Activated Delayed Fluorescent Light-Emitting Diodes Based on Furo[2,3-]quinoxaline Emitters.

Herein, a Y-type compound () and a T-type compound () based on furo[2,3-]quinoxaline were synthesized. The theory calculation shows the S and T of both compounds own a charge-transfer feature while their T states have a local excitation feature. The calculated is one to 2 orders of magnitude larger than .

Anion Chemistry towards On-Site Construction of Solid-Electrolyte Interface for Highly Stable Metallic Zn Anode.

Reversibility of metallic Zn anode serves as the corner stone for the development of aqueous Zn metal battery, which motivates scrutinizing the electrolyte-Zn interface. As the representative organic zinc salt, zinc trifluorosulfonate (Zn(OTf)) facilitates a broad class of aqueous electrolytes, however, the stability issue of Zn anode remains crucial. The great challenge lies in the lack of Zn anode protection by the pristinely formed surface structure in aqueous Zn(OTf) electrolytes.

Branched hybridization chain reaction and tetrahedral DNA-based trivalent aptamer powered SERS sensor for ultra-highly sensitive detection of cancer-derived exosomes.

Exosomes have emerged as a promising noninvasive biomarker for early cancer diagnosis due to their ability to carry specific bioinformation related to cancer cells. However, accurate detection of trace amount of cancer-derived exosomes in complex blood remains a significant challenge. Herein, an ultra-highly sensitive SERS sensor, powered by the branched hybridization chain reaction (bHCR) and tetrahedral DNA-based trivalent aptamer (triApt-TDN), has been proposed for precise detection of cancer-derived exosomes.

CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced.

Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural language processing tasks, which plays a vital role in biomedical research. Although MCN in English has achieved significant research achievements, Chinese medical concept normalization (CMCN) remains insufficiently explored due to its complex syntactic structure and the paucity of Chinese medical semantic and ontology resources. In recent years, deep learning has been extensively applied across numerous natural language processing tasks, owing to its robust learning capabilities, adaptability, and transferability.

Empirical Confirmation of Theoretical Predictions for Amorphous H/VO Cathodes: Advancing Durability and Efficiency in Zinc-Ion Batteries.

Advancing cathode materials is crucial for the broader application of aqueous zinc-ion batteries (ZIBs) in energy storage systems. This study presents amorphous H/VO (HVO), a novel cathode material engineered by substituting H for Mg in MgVO (MgVO), designed to enhance performance of ZIBs. Initial exploration of MgVO through ab initio molecular dynamics (AIMD) simulations and density functional theory (DFT) calculations revealed a favorable Mg and Zn exchange mechanism.

A layered metastructure for privacy protection based on the Brewster angle.

In this paper, a kind of layered metastructure (LMS) is proposed by stacking multi-layer dielectric plates. By adjusting the dielectric constant of medium A (set as ), the Brewster angle (BA) of incident electromagnetic waves (EMWs) has been directly selected. At the same time, the operating band of the above angle selection (AS) can be extended to the whole visible light band (VLB) which covers 400 nm to 700 nm according to Bragg reflection.

Association between long-term exposure to PM chemical components and metabolic syndrome in middle-aged and older adults.

Background: Previous studies indicated that exposure to ambient fine particulate matter (PM) could increase the risk of metabolic syndrome (MetS). However, the specific impact of PM chemical components remains uncertain.

Methods: A national cross-sectional study of 12,846 Chinese middle-aged and older adults was conducted.

Room-temperature ferroelectric, piezoelectric and resistive switching behaviors of single-element Te nanowires.

Ferroelectrics are essential in memory devices for multi-bit storage and high-density integration. Ferroelectricity mainly exists in compounds but rare in single-element materials due to their lack of spontaneous polarization in the latter. However, we report a room-temperature ferroelectricity in quasi-one-dimensional Te nanowires.

Driving effect of digital government policy on synergy in corporate pollution reduction, carbon reduction, and green expansion.

This study constructs an index on synergy of corporate carbon reduction, pollution reduction, and green expansion (PCG), and uses a difference in difference model to test the impact of digital government (DGO) on PCG. Results show that DGO significantly promotes PCG, and compared to companies without DGO, DGO can lead to a 2.4% increase in PCG.

Synthesis of Multifunctional Organic Molecules via Michael Addition Reaction to Manage Perovskite Crystallization and Defect.

Additive engineering plays a pivotal role in achieving high-quality light-absorbing layers for high-performance and stable perovskite solar cells (PSCs). Various functional groups within the additives exert distinct regulatory effects on the perovskite layer. However, few additive molecules can synergistically fulfill the dual functions of regulating crystallization and passivating defects.

Metamaterial Broadband Absorber Induced by Synergistic Regulation of Temperature and Electric Field and Its Optical Switching Application.

Nowadays, metamaterial absorbers still suffer from limited bandwidth, poor bandwidth scalability, and insufficient modulation depth. In order to solve this series of problems, we propose a metamaterial absorber based on graphene, VO, gallium silver sulfide, and gold-silver alloy composites with dual-control modulation of temperature and electric field. Then we further investigate the optical switching performance of this absorber in this work.

Emerging Hybrid Metal Halide Glasses for Sensing and Displays.

Glassy hybrid metal halides have emerged as promising materials in recent years due to their high structural adjustability and low melting points, offering unique merits that overcome the limitations of their crystalline and polycrystalline counterparts as well as other conventional amorphous semiconductors. This review article comprehensively explores the structural characteristics, electronic properties, and chemical coordination of hybrid metal halides, emphasizing their role in the glass transition from the crystalline phase to the amorphous phase. We examine the intrinsic disorder within the amorphous phase that facilitates light transmission and discuss recent advances in device architecture and interface engineering by optimizing the charge transport of glassy hybrid metal halides for high-quality applications.

Explainable Deep Learning-Based Feature Selection and Intrusion Detection Method on the Internet of Things.

With the rapid advancement of the Internet of Things, network security has garnered increasing attention from researchers. Applying deep learning (DL) has significantly enhanced the performance of Network Intrusion Detection Systems (NIDSs). However, due to its complexity and "black box" problem, deploying DL-based NIDS models in practical scenarios poses several challenges, including model interpretability and being lightweight.

Pantograph Slider Detection Architecture and Solution Based on Deep Learning.

Railway transportation has been integrated into people's lives. According to the "Notice on the release of the General Technical Specification of High-speed Railway Power Supply Safety Testing (6C System) System" issued by the National Railway Administration of China in 2012, it is required to install pantograph and slide monitoring devices in high-speed railway stations, station throats and the inlet and exit lines of high-speed railway sections, and it is required to detect the damage of the slider with high precision. It can be seen that the good condition of the pantograph slider is very important for the normal operation of the railway system.

The Pivotal Role of Preclinical Animal Models in Anti-Cancer Drug Discovery and Personalized Cancer Therapy Strategies.

The establishment and utilization of preclinical animal models constitute a pivotal aspect across all facets of cancer research, indispensably contributing to the comprehension of disease initiation and progression mechanisms, as well as facilitating the development of innovative anti-cancer therapeutic approaches. These models have emerged as crucial bridges between basic and clinical research, offering multifaceted support to clinical investigations. This study initially focuses on the importance and benefits of establishing preclinical animal models, discussing the different types of preclinical animal models and recent advancements in cancer research.

Mechanical and Lattice Thermal Properties of Si-Ge Lateral Heterostructures.

Two-dimensional (2D) materials have drawn extensive attention due to their exceptional characteristics and potential uses in electronics and energy storage. This investigation employs simulations using molecular dynamics to examine the mechanical and thermal transport attributes of the 2D silicene-germanene (Si-Ge) lateral heterostructure. The pre-existing cracks of the Si-Ge lateral heterostructure are addressed with external strain.

Coverage Analysis for High-Speed Railway Communications with Narrow-Strip-Shaped Cells over Suzuki Fading Channels.

Unlike circular cell coverage in public land mobile communications, narrow-strip-shaped cell coverage should be considered in high-speed railway (HSR) communications. Moreover, for the coverage analysis in HSR communications, most works ignore the effect of small-scale fading, which results in an inaccurate coverage performance evaluation. In this paper, we focus on the coverage analysis for HSR communications with narrow-strip-shaped cells over the Suzuki fading channel, where the composite channel fading includes path loss, lognormal shadowing, and Rayleigh-distributed small-scale fading.