3-Dimensional cube InO/g-CN nanosheet composite for photodegradation of VOC-contaminated water.

In this study, a hydrothermal approach was used to couple three-dimensional InO cubes with graphitic carbon nitride (g-CN) nanosheets to form InO/g-CN composites. To investigate the charge carrier border for photocatalytic enhancement, pure InO, pure g-CN and InO/g-CN composites were prepared. The coupling of InO particles to the g-C3N4 nanosheets was examined using X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), photoluminescence (PL) spectroscopy, ultraviolet-visible diffuse reflectance spectroscopy (UV-DRS) and electrochemical impedance spectroscopy (EIS).

Chemical Analysis of Plasma-Activated Culture Media by Ion Chromatography.

: Currently, the procedures and methods applied in biological and medical fields for the determination of reactive oxygen and nitrogen species (RONS), primarily rely on spectrophotometric techniques, which involve the use of colorimetric reagents. While these methods are widely accepted, they exhibit significant limitations from an analytical standpoint, particularly due to potential inaccuracies, artifacts, and pronounced susceptibility to matrix effects. The purpose of this Technical Note is to demonstrate the application of ion chromatography-a robust and well-established analytical technique-for the quantification of RONS produced in cell culture media through the exposure to cold atmospheric plasma (CAP), an innovative therapeutic approach for cancer treatment, known as CAP indirect treatment.

Pattern Identification in Patients with Functional Dyspepsia Using Brain-Body Bio-Signals: Protocol of a Clinical Trial for AI Algorithm Development.

Functional dyspepsia (FD) is a common functional gastrointestinal disorder characterized by chronic digestive symptoms without identifiable structural abnormalities. FD affects approximately 8-46% of the population, leading to significant socioeconomic burdens due to reduced quality of life and productivity. Traditional medicine utilizes differential diagnosis through comprehensive examinations, which include observing and questioning, abdominal examination, and pulse diagnosis for functional gastrointestinal disorders.

Evaluation of the Antioxidant and Anti-Cancer Potential of Microwave-Assisted (Korean Cheonnyencho) Aqueous Extract.

(Korean Cheonnyencho), a prickly pear cactus species, has garnered increased attention owing to its rich phytochemical composition and potential health benefits. In this study, the antioxidant and anti-cancer activities of a microwave-assisted aqueous extract derived from O. were investigated, and its phytochemical content was characterized.

LAMT: Lightweight and Anonymous Authentication Scheme for Medical Internet of Things Services.

Medical Internet of Things (IoT) systems can be used to monitor and treat patient health conditions. Security and privacy issues in medical IoT services are more important than those in any other IoT-enabled service. Therefore, various mutual authentication and key-distribution schemes have been proposed for secure communication in medical IoT services.

Ultraviolet Photodetector Using Nanostructured Hexagonal Boron Nitride with Gold Nanoparticles.

Ultraviolet (UV) photodetectors play a crucial role in various applications, ranging from environmental monitoring to biomedical diagnostics. This paper presents the fabrication and characterization of a high-performance UV photodetector using hexagonal boron nitride (hBN) decorated with gold nanoparticles (AuNPs). The hBN flakes were mechanically exfoliated onto SiO substrates, and AuNPs were formed via thermal evaporation, resulting in the creation of a plasmonically active surface that enhanced light absorption and carrier dynamics.

Biomedical Signal Processing and Health Monitoring Based on Sensors.

The healthcare industry is undergoing rapid transformation driven by advancements in Internet of Things (IoT) technologies, particularly in biomedical signal processing and health monitoring [...

Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.

This study challenges three common methodological beliefs and practices. The first question examines whether ordinal reliability estimators are more accurate than continuous estimators for unidimensional data with uncorrelated errors. Continuous estimators (e.

Integrated and streamlined microfluidic device for molecular diagnosis of pathogen through direct PCR amplification.

Background: Polymerase chain reaction (PCR) is a gold-standard method widely acknowledged for offering precise and rapid analysis of genetic material, particularly having a crucial role in detecting pathogens and diagnosing infectious diseases. However, the complexity of the PCR process (including nucleic acid extraction/purification, amplification, and amplicon detection) hinders its widespread adoption in point-of-care testing, where simplicity and rapidity are essential for practical use.

Results: In this study, we developed a microfluidic genetic analysis device that leverages direct PCR technology to simplify the entire PCR process, focusing on enhancing the usability and accessibility of the device for point-of-care diagnostics.

Structural Mechanisms of Quasi-2D Perovskites for Next-Generation Photovoltaics.

Quasi-two-dimensional (2D) perovskite embodies characteristics of both three-dimensional (3D) and 2D perovskites, achieving the superior external environment stability structure of 2D perovskites alongside the high efficiency of 3D perovskites. This effect is realized through critical structural modifications in device fabrication. Typically, perovskites have an octahedral structure, generally ABX, where an organic ammonium cation (A') participates in forming the perovskite structure, with A' (n = 1 or 2) sandwiched between ABX perovskite layers.

All-Inorganic Lead-Free Cs₂AgBiBr₆/ZnO Artificial Retina Synapse Based on Photoelectric Synergistic Dual-Mechanism for Neuromorphic Computing.

Adaptive learning capability of optoelectronic synaptic hardware holds promising application prospects in next generation artificial intelligence, and the development of biometric retina perception is sternly hampered by three crucial issues, including well-balance between excitatory and inhibitory, non-volatile multi-state storage, and optimal energy consumption. In this work, a novel CsAgBiBr/ZnO non-volatile optoelectronic synapse is proposed and successfully programmed with optical excitatory and electronic inhibitory in the light of dual-mechanism: Lead-free perovskite CsAgBiBr guarantees abundant photogenerated carrier concentration, and the process of carrier capture and release occurs in ZnO layer, which can collaboratively modulate various synaptic plasticity behaviors depending on distinct stimulus. Consequently, multi-bit storage is attained with the dual-mechanism non-volatile memory (DNVM) as a function of consecutive light spikes.

Impact of sensitive skin on quality of life, anxiety and depression: a cross-sectional study.

Background: Sensitive skin (SS) is a common condition reported by many people worldwide. Patient interviews reveal that individuals with SS experience diminished quality of life, anxiety and depression. Nonetheless, the impact of SS on mental health remains unclear.

Graphitic Carbon Nitride-Supported Layered Double Hydroxides (GCN@FeMg-LDH) for Efficient Water Splitting and Energy Harvesting.

The advancement of highly efficient and cost-effective electrocatalysts for electrochemical water splitting, along with the development of triboelectric nanogenerators (TENGs), is crucial for sustainable energy generation and harvesting. In this study, a novel hybrid composite by integrating graphitic carbon nitride (GCN) with an earth-abundant FeMg-layered double hydroxide (LDH) (GCN@FeMg-LDH) was synthesized by the hydrothermal approach. Under controlled conditions, with optimized concentrations of metal ions and GCN, the fabricated electrode, GCN@FeMg-LDH demonstrated remarkably low overpotentials of 0.

Human head and neck cancer cell lines response to cold atmospheric plasma activated media is affected by the chemistry of culture media.

Survival rate of head and neck squamous cell carcinomas (HNSCC) patients are still to date very poor, and the application of innovative clinical approaches are urgently needed. Cold atmospheric plasmas (CAPs) are partially ionized gases that have shown anti-tumor effectiveness over a wide range of cancer types with potential application into clinics. However, the comprehension of the mechanisms underlying indirect CAP effects plays a key role for the prediction of treatment outcomes.

Poly(amic acid)-Polyimide Copolymer Interfacial Layers for Self-Powered CHNHPbI Photovoltaic Photodiodes.

Hybrid organohalide perovskites have received considerable attention due to their exceptional photovoltaic (PV) conversion efficiencies in optoelectronic devices. In this study, we report the development of a highly sensitive, self-powered perovskite-based photovoltaic photodiode (PVPD) fabricated by incorporating a poly(amic acid)-polyimide (PAA-PI) copolymer as an interfacial layer between a methylammonium lead iodide (CHNHPbI, MAPbI) perovskite light-absorbing layer and a poly(3,4-ethylenedioxythiophene)-poly(styrene sulfonate) (PEDOT: PSS) hole injection layer. The PAA-PI interfacial layer effectively suppresses carrier recombination at the interfaces, resulting in a high power conversion efficiency () of 11.

Interface effect based nano-scale TiOvertical synapse device for high-density integration in neuromorphic computing system.

To implement a neuromorphic computing system capable of efficiently processing vast amounts of unstructured data, a significant number of synapse and neuron devices are needed, resulting in increased area demands. Therefore, we developed a nanoscale vertically structured synapse device that supports high-density integration. To realize this synapse device, the interface effects between the resistive switching layer and the electrode were investigated and utilized.

Enhancing RT-PCR Throughput and Sensitivity through Large-Scale Sample Pooling Using a Nano-Hybrid Membrane.

During the pandemic surge, including SARS-CoV-2 and influenza, pooling samples emerged as an efficient strategy to identify infected individuals in large groups. While pooling enhances RT-PCR throughput, reducing costs and resources, it dilutes positive samples with negative ones, lowering sensitivity and increasing false negatives. This study proposes a new method to address the trade-off between pool sizes and RT-PCR accuracy.

Ultrasound-assisted dieckol extraction from Eisenia bicyclis and its evaluation as a functional ingredient for bacterial cellulose-based desserts.

Dieckol is a brown algal phlorotannin with potent bioactivities such as hepatoprotective effects. This study aimed to produce dieckol-rich extract from Eisenia bicyclis and apply them as a functional ingredient for a novel bacterial cellulose (BC)-based dessert. The modeling and optimization of the ultrasound-assisted extraction (UAE) process were performed.

Chromium-Doped NiBP Micro-Sphere Electrocatalysts for Green Hydrogen Production under Industrial Operational Conditions.

Wide spread adaptation of green hydrogen can help to mitigate the serious climate issues, increasing global energy demands and the development of advanced electrocatalysts robust under industrial conditions is one of the key technological challenges. Herein, chromium-doped nickel-boride-phosphide (Cr/NiBP) micro sphere (MS) electrocatalyst is demonstrated via a two-step hydrothermal approach along with post-annealing. The Cr/NiBP MS demonstrates low hydrogen evolution reaction and oxygen evaluation reaction over potentials of 78 and 250 mV at 100 mA cm in 1 m KOH, out performing most of the reported catalysts.

Trace level detection of Pb ion using organic ligand as fluorescent-on probes in aqueous media.

In this study, an optical sensor, JA/(2,6-di((E)-benzylidene)cyclohexan-1-one), was synthesized and characterized using H NMR and FT-IR spectroscopy. The sensor exhibited high efficiency and selectivity in detecting Pb ions, even in the presence of potential interfering ions such as Mn, Cu, Co, Cr, Ni, Ce, Hg, and Cd in aqueous solutions. The interaction of JA with Pb resulted in a significant enhancement of fluorescence intensity, suggesting the formation of a stable complex.

Post-synthesis surface modification of Cu/Zr metal azolate framework: A pathway to highly sensitive electrochemical biosensors for atrazine detection.

Background: Atrazine (ATZ), a pesticide that poses serious health problems, is observed in the environment, thereby prompting its periodic monitoring and control using functional biosensors. However, established methods for ATZ detection have limited applicability. Two-dimensional (2D) metal azolate frameworks (MAF) have a higher surface area per unit volume and provide easier access to active sites.

Enhancement Strategy for Protocatechuic Acid Production Using with Focus on Continuous Fermentation Scale-Up and Cytotoxicity Management.

Protocatechuate acid (PCA) is a phenolic acid naturally synthesized by various organisms. Protocatechuic acid is synthesized by plants for physiological, metabolic functions, and self-defense, but extraction from plants is less efficient compared to the microbial culture process. The microbial synthesis of protocatechuic acid is sustainable and, due to its high yield, can save energy consumption when producing the same amount.

Synthesis and Characterization of UV-Curable Resin with High Refractive Index for a Luminance-Enhancing Prism Film.

A novel monomer, 9-bis[4-(2-hydroxyethoxy)phenyl]fluorene di(mercaptopropionate), with a highly refractive index, purity, and excellent UV-curable properties, is synthesized through an optimized Fischer esterification process, reacting 9,9-bis[4-(2-hydroxyethoxy)phenyl]fluorene with 3-mercaptopropionic acid. The structural characterization of this monomer is performed using Fourier-transform infrared spectroscopy, nuclear magnetic resonance spectroscopy, high-performance liquid chromatography, and liquid chromatography-mass spectrometry. The synthesis conditions are optimized using a design-of-experiments approach.

Brain-inspired learning rules for spiking neural network-based control: a tutorial.

Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, reinforcement learning has significantly enhanced the performance of control tasks by leveraging deep learning techniques. However, as deep neural networks grow in complexity, they consume more energy and introduce greater latency.

Advancements in Passive Wireless Sensing Systems in Monitoring Harsh Environment and Healthcare Applications.

Recent advancements in passive wireless sensor technology have significantly extended the application scope of sensing, particularly in challenging environments for monitoring industry and healthcare applications. These systems are equipped with battery-free operation, wireless connectivity, and are designed to be both miniaturized and lightweight. Such features enable the safe, real-time monitoring of industrial environments and support high-precision physiological measurements in confined internal body spaces and on wearable epidermal devices.