Nitrogen-Doped Two-Dimensional Carbon Nanosheets for High-Sulfur-Loading Lithium-Sulfur Batteries via a Lignin-Based High-Internal-Phase Pickering Emulsion Strategy.

Attributable to sulfur's significant theoretical energy density, its affordability, and its environmentally friendly nature, lithium-sulfur batteries (LSBs) are recognized as advanced energy storage technologies with considerable potential. Nonetheless, the solubility and migration of polysulfides within the electrolyte substantially hinder their practical implementation. To address this issue, we developed a nitrogen-doped two-dimensional (2D) wavy carbon nanosheet material (NCN) by using the Pickering emulsion templating method.

Gold-Modified Covalent Organic Frameworks-Assisted Laser Desorption/Ionization Mass Spectrometry for Analysis of Metabolites Induced by Triclosan Exposure.

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) holds great promise for the rapid and sensitive detection of biomolecules, but its precise detection of small molecule metabolites is hindered by severe background interference from the organic matrix in the low molecular weight range. To address this issue, nanomaterials have commonly been utilized as substrates in LDI-MS. Among them, covalent organic frameworks (COFs), known for their unique optical absorption and structural properties, have garnered significant attention.

Multiomics in cancer biomarker discovery and cancer subtyping.

The advent of multiomics has ushered in a new era of cancer research characterized by integrated genomic, transcriptomic and proteomic analysis to unravel the complexities of cancer biology and facilitate the discovery of novel biomarkers. This chapter provides a comprehensive overview of the concept of multiomics, detailing the significant advances in the underlying technologies and their contributions to our understanding of cancer. It delves into the evolution of genomics and transcriptomics, breakthroughs in proteomics, and overarching progress in multiomic methodologies, highlighting their collective impact on cancer biomarker discovery.

Dynamic classification and attention mechanism-based bidirectional long short-term memory network for daily runoff prediction in Aksu River basin, Northwest China.

Inland river runoff variability is pivotal for maintaining regional ecological stability. Daily flow forecasting in arid regions is crucial in understanding water body ecological processes and promoting healthy river ecology. Precise daily runoff forecasting serves as a cornerstone for ecological evaluation, management, and decision-making.

Metal contamination in the Ashtamudi Wetland ecosystem: Source identification, toxicological risk assessment of Ni, Cd, Cr, and Pb and remediation strategies.

This study examines the presence of potentially toxic elements (PTEs) in the surface sediments and water of the Ashtamudi wetland, a Ramsar site on India's southwest coast. The average concentration of PTEs in water(μg/L) and in sediments (mg/kg) follows the order Fe(147.89) > Zn(107.

Electron-Donating Zr Induces Suppressed Ru Over-Oxidation and Accelerated Deprotonation Process Toward Efficient and Durable Water Electrolysis.

The scarcity of cost-effective and durable iridium-free anode electrocatalysts for the oxygen evolution reaction (OER) poses a significant challenge to the widespread application of the proton exchange membrane water electrolyzer (PEMWE). To address the electrochemical oxidation and dissolution issues of Ru-based electrocatalysts, an electron-donating modification strategy is developed to stabilize WRuO under harsh oxidative conditions. The optimized catalyst with a low Zirconium doping (Zr, 1 wt.

Cesium-Based Molecular Perovskites With Superior Stability for High-Performance X-Ray Detection.

Metal-free molecular perovskites have shown great potential for X-ray detection due to their tunable chemical structures, low toxicity, and excellent photophysical properties. However, their limited X-ray absorption and environmental instability restrict their practical application. In this study, cesium-based molecular perovskites (MDABCO-CsX, X = Cl, Br, I) are developed by introducing Cs at the B-site to enhance X-ray absorption while retaining low toxicity.

Modulating Built-In Electric Field Via N-Doped Carbon Dots for Robust Oxygen Evolution at Large Current Density.

Constructing a built-in electric field (BIEF) within heterostructures has emerged as a compelling strategy for advancing electrocatalytic oxygen evolution reaction (OER) performance. Herein, the p-n type nanosheet array heterojunction NiP-NCDs-Co(OH)-NF are successfully prepared. The variation in interaction affinity between nitrogen within N-doped carbon dots (NCDs) and Ni/Co induces charge redistribution between Co and Ni in the NiP-NCDs-Co(OH)-NF-3 heterostructure, thereby enhancing the intensity of the BIEF, facilitating electron transfer, and markedly improving OER activity.

Supramolecularly Built Local Electric Field Microenvironment around Cobalt Phthalocyanine in Covalent Organic Frameworks for Enhanced Photocatalysis.

The local electric field (LEF) plays an important role in the catalytic process; however, the precise construction and manipulation of the electric field microenvironment around the active site remains a significant challenge. Here, we have developed a supramolecular strategy for the implementation of a LEF by introducing the host macrocycle 18-crown-6 (18C6) into a cobalt phthalocyanine (CoPc)-containing covalent organic framework (COF). Utilizing the supramolecular interaction between 18C6 and potassium ion (K), a locally enhanced K concentration around CoPc can be built to generate a LEF microenvironment around the catalytically active Co site.

Single-Injection Composite Tracer Achieves Intraoperative Dual-Tracing and Precise Localization of Sentinel Lymph Nodes.

The use of dual-tracer contrast agents in clinical applications, such as sentinel lymph node (SLN) identification, offers significant advantages including enhanced accuracy, sensitivity, as well as comprehensive and multimodal visualization. In the current clinical practice, SLNs are typically marked prior to surgical resection by multiple and sequential injections of two tracers, the radioactive tracer and methylene blue (MB) dye. This imposes physical and psychological burden on patients and medical staff.

Artificial intelligence-powered solutions for automated aortic diameter measurement in computed tomography: a narrative review.

Background And Objective: Patients with thoracic aortic aneurysm and dissection (TAAD) are often asymptomatic but present acutely with life threatening complications that necessitate emergency intervention. Aortic diameter measurement using computed tomography (CT) is considered the gold standard for diagnosis, surgical planning, and monitoring. However, manual measurement can create challenges in clinical workflows due to its time-consuming, labour-intensive nature and susceptibility to human error.

Cancer-targeted pro-theranostic bi-metallic organo-coordination nanoparticles.

Cancer remains a leading cause of mortality, with aggressive, treatment-resistant tumors posing significant challenges. Current combination therapies and imaging approaches often fail due to disparate pharmacokinetics and difficulties correlating drug delivery with therapeutic response. In this study, we developed radionuclide-activatable theranostic nanoparticles (NPs) comprising folate receptor-targeted bimetallic organo-nanoparticles (Gd-Ti-FA-TA NPs).

A Stable Zn(II) Metal-Organic Framework as Turn-On and Blue-Shift Fluorescence Sensor for Amino Acids and Dipicolinic Acid in Living Cells or Using Aerosol Jet Printing.

Amino acids and dipicolinic acid (DPA) are important biomarkers for identifying human health. Establishing rapid, accurate, sensitive, and simple assays is essential for disease prevention and early diagnosis. In this work, a novel Zn(II) metal-organic framework (MOF) with the formula {[Zn(μ-OH)(BTDI)(dpp)]·dpp·4HO·2DMF} (, where denotes Jiangxi University of Science and Technology, HBTDI = 5,5'-(benzo[][1,2,5]thiadiazole-4,7-diyl)diisophthalic acid; dpp = 1,3-di(4-pyridyl)propane) was successfully synthesized via a mixed-ligands strategy.

High-Performance Perovskite Photodetectors with Suppressed Dark Current Density via Small Molecule in Antisolvent Strategy.

Dark current density, a critical parameter in perovskite photodetectors (PPDs), largely depends on the quality of the perovskite film. Herein, we introduce a new small molecule in antisolvent strategy to enhance perovskite film quality during the crystallization of Cs(FAMA)Pb(IBr). COTIC-4Cl, an N-type narrow bandgap nonfullerene small molecule with specific functional group, could strongly bind to the uncoordinated Pb in the perovskite with assistance of antisolvent, enabling rapid supersaturation of perovskite solution and form dense structures under low-temperature annealing.

Nuclear power plant waste heat opens a window of next-generation desalination hybridization: a SOAR-based review.

This review examines the potential for utilizing nuclear power plant (NPP) waste heat in hybrid desalination systems, focusing on Reverse Osmosis-Low-Temperature Evaporation (RO-LTE) driven by renewable energy sources and atomic waste heat. By employing a SOAR (Strengths, Opportunities, Aspirations, Results) analysis, the study evaluates the integration of NPP waste heat into various desalination technologies, emphasizing the environmental benefits and energy efficiency improvements. Fundamental aspirations include advancements in material science and heat exchanger designs, which enhance heat transfer and evaporation processes.

Recent Progress and Advances of Perovskite Crystallization in Carbon-Based Printable Mesoscopic Solar Cells.

Carbon-based printable mesoscopic solar cells (p-MPSCs) offer significant advantages for industrialization due to their simple fabrication process, low cost, and scalability. Recently, the certified power conversion efficiency of p-MPSCs has exceeded 22%, drawing considerable attention from the community. However, the key challenge in improving device performance is achieving uniform and high-quality perovskite crystallization within the mesoporous structure.

Chemo-optogenetic Dimerization Dissects Complex Biological Processes.

Light offers superior control in terms of high temporal precision, high spatial precision, and non-invasiveness for the regulation of cellular functions. In recent years, chemical biologists have adopted chemo-optogenetic dimerization approaches, such as photo-triggered chemical inducers of dimerization (pCIDs), as a general tool for spatiotemporal regulation of cellular functions. Traditional chemo-optogenetic dimerization triggers either a single ON or a single OFF of cellular activity.

Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy.

The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance. This study introduces a hybrid strategy based on computational intelligence to determine the optimal conditions for ternary hybrid nanofluids.

Can large language models fully automate or partially assist paper selection in systematic reviews?

Background/aims: Large language models (LLMs) have substantial potential to enhance the efficiency of academic research. The accuracy and performance of LLMs in a systematic review, a core part of evidence building, has yet to be studied in detail.

Methods: We introduced two LLM-based approaches of systematic review: an LLM-enabled fully automated approach (LLM-FA) utilising three different GPT-4 plugins (Consensus GPT, Scholar GPT and GPT web browsing modes) and an LLM-facilitated semi-automated approach (LLM-SA) using GPT4's Application Programming Interface (API).

Early and advanced glycation end product analysis from women with PCOS on metformin.

In this cross-sectional study, we have analyzed advanced glycation end products (AGEs) in the plasma and follicular fluid of women with polycystic ovary syndrome (PCOS) taking metformin during in vitro fertilization (IVF) and control women undergoing IVF. Glucose, fructose, fructosamine, carboxymethyl lysine/ arginine (CML/R) proteins, and pentosidine were measured in the plasma and paired follicular fluid. Glycated proteins were characterized by mass spectrometry.

A Thermally Robust Biopolymeric Separator Conveys K Transport and Interfacial Chemistry for Longevous Potassium Metal Batteries.

Potassium metal batteries (KMBs) hold promise for stationary energy storage with certain cost and resource merits. Nevertheless, their practicability is greatly handicapped by dendrite-related anodes, and the target design of specialized separators to boost anode safety is in its nascent stage. Here, we develop a thermally robust biopolymeric separator customized via a solvent-exchange and amino-siloxane decoration strategy to render durable and safe KMBs.

Robust and Regular Micronano Binary Texture on the Complex Curved Surface for Enhanced Reendothelialization and Antithrombotic Performance.

Blood-contacting medical devices can easily trigger immune responses, leading to thrombosis and hyperblastosis. Constructing microtexture that provides efficient antithrombotic and rapid reendothelialization performance on complex curved surfaces remains a pressing challenge. In this work, we present a robust and regular micronano binary texture on the titanium surface, characterized by exceptional mechanical strength and precisely controlled wettability to achieve excellent hemocompatibility.

ALC-0315 Lipid-Based mRNA LNP Induces Stronger Cellular Immune Responses Postvaccination.

At the end of 2019, SARS-CoV-2 emerged and rapidly spread, having a profound negative impact on human health and socioeconomic conditions. In response to this unprecedented global health crisis, significant advancements were made in the mRNA vaccine technology. In this study, we have compared the difference between two SARS-CoV-2 receptor-binding domain (RBD) mRNA-Lipid nanoparticle (LNP) vaccines prepared from two different ionizable cationic lipids: ALC-0315 and MC3.

Enormous Out-of-Plane Charge Rectification and Conductance through Two-Dimensional Monolayers.

Heterogeneous integration of emerging two-dimensional (2D) materials with mature three-dimensional (3D) silicon-based semiconductor technology presents a promising approach for the future development of energy-efficient, function-rich nanoelectronic devices. In this study, we designed a mixed-dimensional junction structure in which a 2D monolayer (e.g.