Biogenic synthesis of copper oxide nanoparticles using Eucalyptus globulus Leaf Extract and its impact on germination and Phytochemical composition of Lactuca sativa.

Green nanomaterials are increasingly used to improve plant growth and phytochemical traits. This study employed Eucalyptus globulus leaf extract, a medicinal plant, as a bio-reductant and capping agent to synthesize copper oxide nanoparticles (CuO-NPs), which were applied as seed primers for Lactuca sativa (lettuce), an annual species prized for its short germination time and rich bioactive compounds. Characterization of CuO-NPs using FTIR, XRD, SEM, and EDX confirmed their purity, crystalline structure, and an average particle size of 74.

Effects of urbanisation and seasons on the relationship between frozen road conditions and road traffic injury: a longitudinal study of national emergency medical service data in South Korea.

Background: Frozen road conditions could be a factor in road traffic injuries, and seasonality and urbanisation level are potential influencing factors. However, few studies have considered this relationship. Therefore, we examined the effect of frozen road conditions on road traffic injury rates and the differences across seasons and urbanisation levels.

Enhancing cherry tomato packaging: Evaluation of physicochemical, mechanical, and antibacterial properties in tannic acid and gallic acid crosslinked cellulose/chitosan blend films.

The aim of this work was to study the characteristics of composites fabricated from cellulose (CL) and chitosan (CS) blends that were reinforced with different tannic acid (TA) and gallic acid (GA) concentrations. The structure and antibacterial activity of CL/CS composite films were investigated with the addition of TA and GA. The composite films were subjected to mechanical, water contact angle (WCA), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Scanning electron microscopy (SEM), and antibacterial activity tests.

Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.

Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the physiological responses of plants mostly crops to drought stress have been revealed through the use of complex algorithms like gradient boosting, support vector machines (SVM), recurrent neural network (RNN), and long short-term memory (LSTM), combined with a thorough examination of the TYRKC and RBR-E3 domains in stress-associated signaling proteins across a range of crop species.

Event-based adaptive fixed-time optimal control for saturated fault-tolerant nonlinear multiagent systems via reinforcement learning algorithm.

This article investigates the problem of adaptive fixed-time optimal consensus tracking control for nonlinear multiagent systems (MASs) affected by actuator faults and input saturation. To achieve optimal control, reinforcement learning (RL) algorithm which is implemented based on neural network (NN) is employed. Under the actor-critic structure, an innovative simple positive definite function is constructed to obtain the upper bound of the estimation error of the actor-critic NN updating law, which is crucial for analyzing fixed-time stabilization.

Biological insights and therapeutic potential of Glycyrrhiza uralensis and its bioactive compounds: an updated review.

The recent resurgence of traditional medicines, driven by a renewed interest in the medicinal use of plant extracts, has garnered significant scientific attention for their therapeutic efficacy in treating a wide range of diseases. Glycyrrhiza species, commonly known as licorice, are widely recognized both as herbal remedies and as natural sweeteners. Among these, Glycyrrhiza uralensis stands out for its exceptional therapeutic potential, particularly in enhancing muscle regeneration, slowing muscle aging, and promoting skeletal muscle myogenesis.

Development of an automated foot contact area measurement program for podoscopes using ChatGPT-4: a case report.

Accurate measurement of the foot contact area is crucial for diagnosing pes planus (flatfoot) and pes cavus (high arch), which significantly affect pressure distribution across the plantar surface. This study aimed to develop a program using ChatGPT-4 to automate foot contact area measurements using a podoscope, thereby enhancing diagnostic precision. A 53-year-old female volunteer stood on a podoscope to capture images of her feet, which were processed to isolate the foot contours and measure the contact areas.

Clinical Characteristics of T2-Low and T2-High Asthma-Chronic Obstructive Pulmonary Disease Overlap: Findings From COREA Cohort.

Purpose: Despite the emerging biologics, biomarkers and treatment options for asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) are still limited, requiring further research.

Methods: We enrolled 378 ACO patients from a multicenter real-world asthma cohort in Korea and compared the clinical characteristics, lung function, and exacerbation between type 2 (T2)-high and T2-low groups. We used the following comparisons: 1) low vs.

Antenna effect on Zn(II) porphyrin-based molecular ensembles for the detection of 2,4-dinitrophenol through energy and electron transfer process.

Two modular systems were synthesized composed of triphenylamine (ZnTPAP) and pyrene (ZnPyP) covalently linked at meso position of the Zn(II) porphyrins. Both compounds behaved as energy transfer antenna and orthogonal units to enhance the electron donating ability of Zn(II) porphyrins. Detailed photophysical and aggregation studies reveal that an appreciable electronic interaction exists between peripheral units to the porphyrin π-system so that they behave like strong donor materials.

Exploring multivalency-driven sensitivity modulation for optimization and fine-tuning of avidity-based biosensors.

The development of multivalent nanoprobes has garnered considerable interest due to their enhanced sensitivity and precision in diagnosing and monitoring diverse diseases. Despite significant advances in nanobiotechnology, the optimal density of binding motifs to maximize the diagnostic efficacy of biosensors remains incompletely understood. Herein, we investigate the influence of multivalency in the functional performance of avidity-based biosensors.

Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models.

Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hyperthyroidism or hypothyroidism, which can significantly impact metabolism and overall health. Hypothyroidism can cause a slowdown in bodily processes, leading to symptoms such as fatigue, weight gain, depression, and cold sensitivity. Hyperthyroidism can lead to increased metabolism, causing symptoms like rapid weight loss, anxiety, irritability, and heart palpitations.

Insect chitosan derived from Hermetia illucens larvae suppresses adipogenic signaling and promotes the restoration of gut microbiome balance.

Chitosan, the deacetylated form of chitin, is considered a valuable source of compounds in the feed and food industries. However, the impact of Hermetia illucens larvae chitosan (HCS) with specific physicochemical characteristics on obesity mediated by lipid accumulation and microbiome dysbiosis has not been fully elucidated. We purified HCS with a low molecular weight (84 kDa), low crystallinity, and a high deacetylation rate, characterizing it through several analytical techniques, including gel permeation chromatography, FT-IR, H NMR, FE-SEM, and XRD analysis.

Enhancing tomato shelf life using isolated cellulose fibers from Asian Palmyra palm coated with garlic oil.

In this study, garlic-oil-combined cellulose fibers were prepared by using Borassus flabellifer (Asian Palmyra palm) to enhance the post-harvest shelf life of tomatoes. The physicochemical properties of the prepared cellulose fibers were characterized by using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and field emission scanning electron microscopy (FE-SEM). The B.

Black rice bioactive with multifunctional health promotional activities: A special reference to wound healing activity with polyhydroxybutyrate composite.

Black rice (BR) extract contains several functional food bioactive components that are health-promoting. This study assessed the multifunctional bioactivities of various BR extracts (methanol, ethanol, acetone, and aqueous). These BR extracts revealed significant antioxidant and antibacterial activity against various bacterial strains.

In Vitro Osteogenic Response to Copper-Doped Eggshell-Derived Hyroxyapatite With Macrophage Supplements.

The high bioactivity and biocompatibility of hydroxyapatite (HAP) make it a useful bone graft material for bone tissue engineering. However, the development superior osteoconductive and osteoinductive materials for bone regeneration remains a challenge. To overcome these constraints, Cu-doped hydroxyapatite (HAP(Cu)) from waste eggshells has been produced for bone tissue engineering.

Validation of an interferon-gamma enzyme-linked immunosorbent spot assay to evaluate cell-mediated immunity against severe acute respiratory syndrome coronavirus 2.

The COVID-19 pandemic forced the rapid development of methods to measure humoral and cellular immunity against SARS-CoV-2. The lack of a global standardized protocol and the high variability of intra- and inter-assay precision of the T-cell response made it difficult to compare T-cell assay results with those of other laboratories. The interferon-gamma enzyme-linked immunosorbent spot (IFN-γ ELISpot) assay for immunogenicity evaluation was validated using naturally infected donor peripheral blood mononuclear cells, a commercially available IFN-γ ELISpot kit, and a SARS-CoV-2 specific peptide pool.

A Metabolomics Strategy Combining Countercurrent Separation and qNMR for the Comprehensive Chemical Evaluation of Polygoni Multiflori Radix Processing.

Introduction: Polygoni Multiflori Radix (PMR) is commonly used in traditional medicine as both raw and processed forms. Raw PMR was prepared into processed PMR via processing procedure; however, there is a lack of standardized protocols ensuring the completeness of processing.

Objective: This aims to develop a strategy based on a metabolomics approach for the comprehensive chemical profiling and comparison of raw and processed PMR and establish a basis for PMR processing standardization.

FAD and NADPH binding sites of YUCCA6 are essential for chaperone activity and oxidative stress tolerance in Arabidopsis thaliana.

Phytohormone auxin plays a pivotal role in governing plant growth, development, and responses to abiotic stresses. YUCCA6 (YUC6), an auxin biosynthetic enzyme belonging to the flavin monooxygenase (FMO) subfamily, converts indole-3-pyruvic acid to indole-3-acetic acid. Our prior investigation uncovered that YUC6 also functions as a thiol-reductase and chaperone in a Cys85-dependent manner, resulting in conferred tolerance to nickel heavy metal stress and drought and delayed leaf senescence.