Browse Articles

Ecological restoration in the Yellow River Basin enhances hydropower potential

A lightweight algorithm for steel surface defect detection using improved YOLOv8

Photothermal direct methane conversion to formaldehyde at the gas-solid interface under ambient pressure

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration

Abstract In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) integration, were used for optimization. The antioxidant capacity of the extracts obtained under the extract conditions suggested by the two methods was evaluated by Rel Assay kits, DPPH and FRAP methods. Anticholinesterase activities of the optimized extracts were measured by the action of acetylcholinesterase and butyrylcholinesterase enzymes. Antiproliferative effects of the extracts were tested on A549 lung cancer cell line. Phenolic compounds were analyzed by LC-MS/MS. It was determined that both extracts exhibited strong activities against A549 lung cancer cell line depending on the concentration increase. In addition, it was determined that both extracts exhibited acetyl and butyrylcholinesterase inhibition activity close to galantamine used as a standard. In both extracts, 13 compounds including gallic acid, catechinhyrate, 4-hydroxybenzoic acid, caffeic acid, vanillic acid, syringic acid, 2-hydoxycinamic acid, resveratrol, myricetin, quercetin, kaempferol, protocatechuic acid and 2-hyroxy1,4 naphthaquinone were identified. It was determined that the extract obtained under the conditions predicted by ANN-GA exhibited higher activities in general.

Super-multiplexed imaging and coding in the range of radio frequency

Optimization of combined subcritical water and CO2 extraction for enhanced phenolics and antioxidant activity from coffee byproducts

Biosilicification-mimicking chiral nanostructures for targeted treatment of inflammatory bowel disease

Soil quality changes in the Horqin sandy area under different ecological restoration patterns

Direct measurement of the male germline mutation rate in individuals using sequential sperm samples

Proinflammatory cytokines, oxidative stress, and organ function as biomarkers of soman (GD) chronic neurotoxicity

Crohn’s Disease-associated variant in laccase domain containing 1 (LACC1) modulates T cell gene expression, metabolism and T cell function

Thyroid function and multiple sclerosis: a two-sample mendelian randomization study and mediation analysis

High photon-phonon pair generation rate in a two-dimensional optomechanical crystal

Abstract Integrated optomechanical systems are a leading platform for manipulating, sensing, and distributing quantum information, but are limited by residual optical heating. Here, we demonstrate a two-dimensional optomechanical crystal (OMC) geometry with increased thermal anchoring and a mechanical mode at 7.4 GHz, well aligned with the operation range of cryogenic microwave hardware and piezoelectric transducers. The eight times better thermalization than current one-dimensional OMCs, large optomechanical coupling rates, g 0/2π  ≈  880 kHz, and high optical quality factors, Q opt = 2.4 × 105, allow ground-state cooling (n m = 0.32) of the acoustic mode from 3 K and entering the optomechanical strong-coupling regime. In pulsed sideband asymmetry measurements, we show ground-state operation (n m < 0.45) at temperatures below 10 mK, with repetition rates up to 3 MHz, generating photon-phonon pairs at  ≈ 147 kHz. Our results extend optomechanical system capabilities and establish a robust foundation for future microwave-to-optical transducers with entanglement rates exceeding state-of-the-art superconducting qubit decoherence rates.

Revolutionizing healthcare leadership the critical role of digital citizenship in knowledge sharing

Abstract This study explores the relationship between digital leadership (DLR), visionary leadership (VSL), and knowledge sharing (KNS) among healthcare professionals in Pakistan, focusing on the mediating role of digital citizenship behavior (DCZ). As leadership becomes increasingly crucial for promoting knowledge sharing in healthcare, understanding how DLR and VSL facilitate this behavior particularly through digital citizenship is essential. A quantitative approach was employed, gathering data from 202 healthcare professionals via a structured questionnaire assessing DLR, VSL, DCZ, and KNS. Structural equation modeling (SEM) was used to analyze the relationships and test the mediating effect of DCZ. Findings reveal significant positive relationships between both DLR and VSL with KNS. Notably, DCZ partially mediates the relationship between DLR and KNS, with a stronger mediation effect observed in this context. In the VSL-KNS relationship, DCZ’s mediation was confirmed and indicating partial mediation. These results underscore the importance of fostering digital citizenship behaviors to enhance knowledge sharing, providing valuable insights for leadership development programs aimed at improving organizational performance in healthcare settings.

General synthesis of covalent organic frameworks under ambient condition within minutes via microplasma electrochemistry approach

Antioxidant and anticancer properties of fucoidan isolated from Saccharina Japonica brown algae

Cerebellar output shapes cortical preparatory activity during motor adaptation

Abstract The cerebellum plays a key role in motor adaptation by driving trial-to-trial recalibration of movements based on previous errors. In primates, cortical correlates of adaptation are encoded already in the pre-movement motor plan, but these early cortical signals could be driven by a cerebellar-to-cortical information flow or evolve independently through intracortical mechanisms. To address this question, we trained female macaque monkeys to reach against a viscous force field (FF) while blocking cerebellar outflow. The cerebellar block led to impaired FF adaptation and a compensatory, re-aiming-like shift in motor cortical preparatory activity. In the null-field conditions, the cerebellar block altered neural preparatory activity by increasing task-representation dimensionality and impeding generalization. A computational model indicated that low-dimensional (cerebellar-like) feedback is sufficient to replicate these findings. We conclude that cerebellar signals carry task structure information that constrains the dimensionality of the cortical preparatory manifold and promotes generalization. In the absence of these signals, cortical mechanisms are harnessed to partially restore adaptation.

Bioactive silver nanoparticles derived from Carica papaya floral extract and its dual-functioning biomedical application

Magic spreading in random quantum circuits

Abstract Magic is the resource that quantifies the amount of beyond-Clifford operations necessary for universal quantum computing. It bounds the cost of classically simulating quantum systems via stabilizer circuits central to quantum error correction and computation. In this paper, we investigate how fast generic many-body dynamics generate magic resources under the constraints of locality and unitarity, focusing on magic spreading in brick-wall random unitary circuits. We explore scalable magic measures intimately connected to the algebraic structure of the Clifford group. These metrics enable the investigation of the spreading of magic for system sizes of up to N = 1024 qudits, surpassing the previous state-of-the-art, which was restricted to about a dozen qudits. We demonstrate that magic resources equilibrate on timescales logarithmic in the system size, akin to anti-concentration and Hilbert space delocalization phenomena, but qualitatively different from the spreading of entanglement entropy. As random circuits are minimal models for chaotic dynamics, we conjecture that our findings describe the phenomenology of magic resources growth in a broad class of chaotic many-body systems.

Physical activity during pregnancy and pregnancy related complication