Enhancing Optical Properties of Lead-Free CsNaBiCl Nanocrystals via Indium Alloying.

This study presents the synthesis and characterization of CsNaBiCl nanocrystals (NCs) doped with varying concentrations of In to improve their luminescent properties. Utilizing a colloidal solution method, we systematically varied the In concentration to identify the optimal alloying level for enhancing the photoluminescence (PL) properties of the CsNaBiCl NCs. Structural analysis confirmed that the In-alloyed NCs maintained high crystallinity and a uniform cubic shape.

Bound-States-in-the-Continuum-Induced Directional Photoluminescence with Polarization Singularity in WS Monolayers.

Monolayer transition metal dichalcogenides are promising materials that not only are atomically thin but also have direct bandgaps, making them highly regarded in optics and optoelectronics. However, their photoluminescence exhibits almost random polarization at room temperature. The emission is also omnidirectional and weak due to the low quantum yield.

Reduced Thermal Conductivity and Improved Stability by B-Site Doping in Tin Halide Perovskites.

Halide perovskites have attracted recent attention as thermoelectric materials due to their low thermal conductivity combined with good charge transport characteristics. The tin halide perovskites hold the highest within metal halide perovskites and offer lower toxicity than lead-containing perovskites that are well-known for photovoltaics. In this study, we partially substitute Sn (II) with Ge (II) to form mixed metal CsSnGeI perovskite thin films that have substantially improved stability, remaining in the black orthorhombic phase after hours of ambient air exposure.

Revolutionizing Methane Transformation with the Dual Production of Aromatics and Electricity in a Protonic Ceramic Electrocatalytic Membrane Reactor.

Reducing the energy and carbon intensity of the conventional chemical processing industry can be achieved by electrochemically transforming natural gases into higher-value chemicals with higher efficiency and near-zero emissions. In this work, the direct conversion of methane to aromatics and electricity has been achieved in a protonic ceramic electrocatalytic membrane reactor through the integration of a proton-conducting membrane assembly and a trimetallic Pt-Cu/Mo/ZSM-5 catalyst for the nonoxidative methane dehydro-aromatization reaction. In this integrated system, a remarkable 15.

Unveiling the Diverse Principles for Developing Sprayable Hydrogels for Biomedical Applications.

Sprayable hydrogels have emerged as a transformative innovation in biomedical technology, offering a versatile, efficient, and minimally invasive platform for various clinical applications. They form gels upon tissue contact, enabling seamless application on even complex surfaces. This property is especially useful in wound care, drug delivery, and tissue engineering, where localized and sustained release of therapeutics is essential.

A high performance MBene substrate for improving the MnO cathodes for aqueous Zn-ion batteries.

Slow kinetics and instability seriously hinder the development of MnO cathodes for aqueous Zn-ion batteries. Herein, an emerging 2D material MoB-based MBene was used as the MnO matrix. Benefiting from the high electrical conductivity and outstanding stability of MoB, the prepared MoB/MnO composite cathode effectively alleviated the above issues and showed significant electrochemical performance improvement.

Solvent Engineering-Enabled Surface Defect Passivation in Cu2ZnSn(S,Se)4 Solar Cells with Low Open-Circuit Voltage Losses and Improved Carrier Lifetime.

The efficiency of earth-abundant kesterite Cu2ZnSn(S,Se)4 (CZTSSe) solar cells has been lagging behind the Shockley-Queisser limit primarily due to the presence of deep-level defects. These deep-level defects cause critical issues such as short carrier diffusion length, significant band tailing, and a large open-circuit voltage (VOC) deficit, ultimately leading to low device efficiency. To address these issues, we propose a post-fabrication defect healing strategy by dip-coating the CZTSSe film in dimethylformamide (DMF) solvent.

Linear Enhanced 3D Nanofluid Force-Electric Conversion Device.

The inherent trade-off between permeability and selectivity has constrained further improvement of passive linear force-electric conversion performance in nanofluidic pressure sensors. To overcome this limitation, a 3D nanofluidic membrane with high mechanical strength utilizing aramid nanofibers/carbon nanofiber (ANF/CNF) dual crosslinking is developed. Due to the abundant surface functional groups of CNF and the high mechanical strength of ANF, this large-scale integrated 3D nanofluidic membrane exhibits advantages of high flux, high porosity, and short ion transport path, demonstrating superior force-electric response compared to conventional 1D and 2D configurations.

Transformation-Invariant Laplacian Metadevices Robust to Environmental Variation.

As one of the typical applications of metamaterials, the invisibility cloak has raised vast research interests. After many years' research efforts, the invisibility cloak has extended its applicability from optics and acoustics to electrostatics and thermal diffusion. One scientific challenge that has significantly restricted the practical application of the invisibility cloak is the strong background dependence, that is, all passive cloaking devices realized thus far are unable to resist variation in the background refractive index.

Bioelectrical-Impedance-Analysis in the Perioperative Nutritional Assessment and Prediction of Complications in Head-and-Neck Malignancies.

Objective: Identification of patients with head-and-neck malignancies who are especially vulnerable to malnutrition is critical for optimizing outcomes. The objectives are; to correlate Bioelectrical-impendence-analysis (BIA) parameters with Subjective-Global-Assessment (SGA) scores, and determine the association of BIA parameters with common perioperative complications in patients undergoing head-and-neck surgery.

Study Design: Patients underwent formal SGA scoring and BIA preoperatively in a multidisciplinary allied health clinic.

Neuroimaging signatures and a deep learning modeling for early diagnosing and predicting non-pharmacological therapy success for subclinical depression comorbid sleep disorders in college students.

Objective: College students with subclinical depression often experience sleep disturbances and are at high risk of developing major depressive disorder without early intervention. Clinical guidelines recommend non-pharmacotherapy as the primary option for subclinical depression with comorbid sleep disorders (sDSDs). However, the neuroimaging mechanisms and therapeutic responses associated with these treatments are poorly understood.

The Impact on Patient Prognosis of Changes to the Method of Notifying Staff About Accepting Patients With Out-of-Hospital Cardiac Arrest.

Background: Our hospital is a designated emergency hospital and accepts many patients with out-of-hospital cardiac arrest (OHCA). Previously, after receiving a direct call from emergency services to request acceptance of an OHCA patient, the emergency room (ER) chief nurse notified medical staff. However, this method delayed ER preparations, so a Code Blue system (CB) was introduced in which the pending arrival of an OHCA patient was broadcast throughout the hospital.

Uncertain choices with asymmetric information: how clear evidence and ambiguity interact?

Real-world decisions often involve partial ambiguity, where the complete picture of potential risks is unclear. In such situations, individuals must make choices by balancing the value of available information against the uncertainty of unknown risks. Our study investigates this challenge by examining how people navigate the trade-off between the favorability of limited evidence and the degree of ambiguity when making decisions under partial ambiguity.

A graph neural architecture search approach for identifying bots in social media.

Social media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots automated programs disseminating misinformation and ideologies with tangible real-world consequences. While bot detection in platform X has been the area of many deep learning models with adequate results, most approaches neglect the graph structure of social media relationships and often rely on hand-engineered architectures. Our work introduces the implementation of a Neural Architecture Search (NAS) technique, namely Deep and Flexible Graph Neural Architecture Search (DFG-NAS), tailored to Relational Graph Convolutional Neural Networks (RGCNs) in the task of bot detection in platform X.

Simultaneous determination of 50 antibiotic residues in plasma by HPLC-MS/MS.

Exposure to low doses of antibiotics in organisms may have long-term effects on host growth and brain neurochemicals, which are achieved by disrupting the composition and metabolism of gut flora. Therefore, we should pay more attention to the use and management of antibiotics to protect human health and the ecological environment. Here, we developed a method of detecting 50 antibiotic residues simultaneously in human plasma using HPLC-MS/MS.

A Continuous Improvement Instrument for the evaluationof the ergonomics management system in the supply chain.

Nowadays, organizations must comply with high-quality standards, health and safety regulations, and socially sustainable practices to succeed in a globalized world. Supply Chains (SC) enable them to satisfy their customers' needs for quality products just in time and at the best price. However, management systems (MS) need to be improved to identify, evaluate, and control ergonomic risks, which opens a research opportunity for Ergonomics Management Systems (EMS) as they apply to sustainable SCs.

A significance of micro-motile organism's flow of nanofluid for heat transportation with thermal radiations.

The ability of nanofluids to improve heat transmission in thermal systems is well established. This work investigates the three-dimensional theoretical behavior of Darcy-Forchheimer nanofluids in tilted magnetohydrodynamics. In this study, the Soret effect, micro-motile organisms, thermophoresis, and heat radiation are also considered.

Quantitative and longitudinal assessment of human placental inflammation using diffusion basis spectrum imaging.

Besides exchanging nutrients, gases, and wastes, placenta is an intermediary between maternal and fetal immune systems. However, no method exists to safely image and monitor placental inflammation during pregnancy. We customized a Magnetic Resonance Imaging (MRI) method, diffusion basis spectrum imaging (DBSI), to measure immune cells in placenta.

Exploring the potential of electrical bioimpedance technique for analyzing physical activity.

Introduction: Exercise physiology investigates the complex and multifaceted human body responses to physical activity (PA). The integration of electrical bioimpedance (EBI) has emerged as a valuable tool for deepening our understanding of muscle activity during exercise.

Method: In this study, we investigate the potential of using the EBI technique for human motion recognition.

Microfluidic-based electrically driven particle manipulation techniques for biomedical applications.

Microfluidic chips exhibit unique advantages in both economy and rapidity, particularly for the separation and detection of biomolecules. In this review, we first introduced the mechanisms of several electrically driven methods, such as electrophoresis, dielectrophoresis, electro-wetting and electro-rotation. We then discussed in detail the application of these methods in nucleic acid analysis, protein manipulation and cell treatment.

Physical Simulation Experiment on the Rock Breaking Efficiency of Pulse Type Controllable Shock Wave.

Given that conducting controllable shock wave tests in actual rock formations underground in coal mines affects coal mine production with the parameters required for equipment design and incurs significant costs, a series of ground tests were conducted separately. First, the impact of energy storage on rock breaking efficiency was analyzed. Then, physical simulation experiments were conducted on the differential efficiency of controllable shock waves on high-strength cement, sandstone, granite, solid granite, and limestone.

Plasmon-Enhanced Fluorescence of Single Extracellular Vesicles Captured in Arrayed Aluminum Nanoholes.

Extracellular vesicles (EVs) are nanoparticles encapsulated with a lipid bilayer, and they constitute an excellent source of biomarkers for multiple diseases. However, the heterogeneity in their molecular compositions constitutes a major challenge for their recognition and profiling, thereby limiting their application as an effective biomarker. A single-EV analysis technique is crucial to both the discovery and the detection of EV subpopulations that carry disease-specific signatures.

Synthesis of Tin Oxide Nanoparticles from E-Waste for Photocatalytic Mixed-Dye Degradation under Sunlight.

Electronic waste (e-waste) has become a significant environmental concern worldwide due to the rapid advancement of technology and short product lifecycles. Waste-printed electronic boards (WPCBs) contain valuable metals and semiconductors; among them, tin can be recycled and repurposed for sustainable material production. This study presents a potential ecofriendly methodology for the recovery of tin from WPCBs in the form of tin oxide nanostructured powders.

Hydration and carbonation curing of high ferrite clinker (FePC) synthesized using EAF slag.

Unlabelled: This study explores the use of Electric Arc Furnace (EAF) slag as a sustainable alternative raw material in cement clinker production. The research demonstrates the synthesis of ferrite-rich clinker using EAF slag, achieving a clinker composition of 47% alite, 32% ferrite, and 20% belite while replacing 20% of clinker raw materials i.e.