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A Copper–Zinc Cyanamide Solid-Solution Catalyst with Tailored Surface Electrostatic Potentials Promotes Asymmetric N-Intermediate Adsorption in Nitrite Electroreduction

Research on forest fire information propagation model based on IoV

From Magic Size to Atomic Precision: Facile Synthesis of a CdTe Semiconductor Nanocluster

Prevalence of dementia risk factors in the Oxford Brain Health Clinic

Abstract With promising disease-modifying therapies (DMTs) emerging and good evidence to support risk reduction in the delay of dementia onset and progression, it is important to understand the profile of patients attending memory assessment services to estimate what proportion of patients might benefit from different types of interventions. The Oxford Brain Health Clinic (OBHC) is a psychiatry-led, clinical-research service that offers memory clinic patients detailed clinical assessments and equal access to research opportunities as part of their secondary care pathway. In this work, we describe the characteristics of OBHC patients in terms of demographics, diagnoses and prevalence of potentially modifiable risk factors compared with a cohort of healthy volunteers and the average memory clinic population. Our results suggest that high research consent rates (91.5%) in the OBHC resulted in a highly representative cohort of the clinical population. Based on Lecanemab trial inclusion criteria, 24.6% of the OBHC population may be suitable for further investigation into DMTs. Furthermore, 67.4% of OBHC patients have at least one potentially modifiable risk factor that may benefit from lifestyle interventions, particularly those focused on depression, sleep and physical activity.

Arylsulfonothioates: Thiol-Activated Donors of Hydropersulfides which are Excreted to Maintain Cellular Redox Homeostasis or Retained to Counter Oxidative Stress

Association of optic neuritis with incident depressive disorder risk in a Korean nationwide cohort

Tailored Lattice-Matched Carbazole Self-Assembled Molecule for Efficient and Stable Perovskite Solar Cells

Oxidative stress in a cellular model of alcohol-related liver disease: protection using curcumin nanoformulations

Abstract Alcohol-related liver disease (ARLD) is a global health issue causing significant morbidity and mortality, due to lack of suitable therapeutic options. ARLD induces a spectrum of biochemical and cellular alterations, including chronic oxidative stress, mitochondrial dysfunction, and cell death, resulting in hepatic injury. Natural antioxidant compounds such as curcumin have generated interest in ARLD due to their ability to scavenge reactive oxygen species (ROS), however, therapy using these compounds is limited due to poor bioavailability and stability. Therefore, the aim of this study was to assess the antioxidant potential of free antioxidants and curcumin entrapped formulations against oxidative damage in an ARLD cell model. HepG2 (VL-17A) cells were treated with varying concentrations of alcohol (from 200 to 350 mM) and parameters of oxidative stress and mitochondrial function were assessed over 72 h. Data indicated 350 mM of ethanol led to a significant decrease in cell viability at 72 h, and a significant increase in ROS at 30 min. A substantial number of cells were in late apoptosis at 72 h, and a reduction in the mitochondrial membrane potential was also found. Pre-treatment with curcumin nanoformulations increased viability, as well as, reducing ROS at 2 h, 48 h and 72 h. In summary, antioxidants and entrapped nanoformulations of curcumin were able to ameliorate reduced cell viability and increased ROS caused by ethanol treatment. This demonstrates their potential at mitigating oxidative damage and warrants further investigation to evaluate their efficacy for ARLD therapy.

Tuning the Crystallinity of a Metal–Organic Coordination Network at the Liquid–Solid Interface

Effect of pore-throat structure on movable fluid and gas–water seepage in tight sandstone from the southeastern Ordos Basin, China

Statistical learning re-shapes the center-surround inhibition of the visuo-spatial attentional focus

Interplay between Jahn–Teller Distortions and Structural Phase Transitions in Ruddlesden–Poppers

Dual-directional epi-genotoxicity assay for assessing chemically induced epigenetic effects utilizing the housekeeping TK gene

Tailoring Lewis Acidity of Metal Oxides on Nickel to Boost Electrocatalytic Hydrogen Evolution in Neutral Electrolyte

Cannulated intravaginal injection technique (CIVIT) A Novel Vaginal Injection Technique 

Fluorogenic Platform for Real-Time Imaging of Subcellular Payload Release in Antibody–Drug Conjugates

Steady-state data-driven dynamic stability assessment in the Korean power system

Abstract The extensive research on dynamic security assessment stability prediction has focused on data preprocessing techniques to improve accuracy because it was assumed that high-resolution postfault data exist. For practical users, the acquisition and application of high-resolution measurement data present significant challenges. Installing phasor measurement units on all power system nodes is deemed impractical due to high costs. In this work, we aimed to develop a rotor angle stability prediction model using steady-state data that can be easily generated from the current energy management system. Note that the steady-state measurement data refer to a pre-contingency operation condition characterized by real and reactive loads, generation levels, flows, as well as voltages and angles. The proposed framework comprises three stages: it finds physical meaning from the extended equal-area criterion to move away from the black-box approach, proposes a feature data extraction strategy to reduce the dimensionality of the input space in the support vector machine, and partition time-series power flow data by month to consider system topology changes. By utilizing 5-min-interval power flow data, unstable cases are determined, and two main feature data are extracted to train the support vector machine. The obtained results showed the effectiveness of the proposed framework in responding to a critical line fault event in real time.

Engineering Helical Chirality in Metal-Coordinated Cyclodextrin Nanochannels

Determining the optimal harvest time for pomegranate variety wonderful in semi-arid climate

Abstract Due to limited local knowledge regarding the optimal harvest time for this non-native variety, a two-year study (2021–2022) was conducted using a randomized complete block design with four blocks. This study aimed to determine the ideal harvest time based on quantitative and qualitative fruit characteristics in saveh, which has a semi-arid climate. Twelve similarly sized trees were selected for each orchard, and fruits were harvested at three-time intervals: 155 days after flowering (DAF) (September 27), 170 DAF (October 12), and 185 DAF (October 27). Ten fruits from four sides of the tree canopy were collected and analyzed for physical and biochemical properties. The results showed that harvest time significantly affected fruit weight, aril weight, and juice percentage positively, while it negatively impacted rind percentage. The first harvest date yielded the lowest quantitative and qualitative traits, with incomplete skin and aril coloration. By the third harvest, pomegranate fruits exhibited the highest total soluble solids (17.76 °Brix), pH (3.41), and anthocyanin content (32.56 mg/L), along with the lowest total phenols (17.28 mg GAE/L), antioxidant capacity (79.78%), and titratable acidity (1.11%), resulting in the highest flavor or ripening index (16.31). In addition, cracking rates increased substantially, reaching 30.25% by the third harvest, compared to negligible levels of 20.72% by the second harvest. Juice percentage and aril weight improved significantly with delayed harvest, peaking on October 27. These findings suggest that October 12–27 is the optimal harvest window for superior fruit quality while considering the risk of fruit cracking. This study provides practical insights into harvest timing for maximizing the marketability and nutritional value of ‘Wonderful’ pomegranates in semi-arid climates.

C₁-Based Route for Vinyl Chloride Synthesis with Environmental and Economic Benefits