Browse Articles

Chelation-Driven Self-Assembly of Luminescent Magnesium Coordination Cages

Synthesis of nanocrystalline cellulose via microwave-assisted acetic acid pretreatment and endoglucanase-xylanase-mediated enzymatic hydrolysis

Host–Guest Complexation through Geometric Self-Optimization in [12]Cycloparaphenylene

Radar-assisted wireless sensor communications using frequency-modulated reconfigurable intelligent surfaces

First evidence for isolation and characterization of Bacopa monnieri (L.) Wettst-derived nanovesicles with anti-neuroblastoma potential

Nickel-Catalyzed Remote Substitution of Alcohols

Enhanced sensorimotor cortex responsiveness to nonplegic hand stimulation and motor network assembly during recovery after spinal cord injury in primates

Protein Post-Translational Modification-Inspired Regulation of Peptide Coacervation in Living Cells for Pro-Necroptotic Kinase Delivery

Synergistic application of Ascophyllum nodosum, Salix aegyptiaca, and gum arabic improves salt tolerance in Rubia tinctorum

Abstract Salinity in arid and semi-arid regions poses a significant limitation to crop growth. The present study aims to assess the synergistic effects of Ascophyllum nodosum , the bark of Salix aegyptiaca , and gum arabic in mitigating the adverse impacts of salinity stress on Rubia tinctorum . The antibacterial activity of root extracts against Ralstonia solanacearum and Pectobacterium carotovorum was evaluated separately using in silico molecular docking. A simplex lattice design with 14 experimental runs was used to optimize elicitors for physiological, biochemical, and antioxidant responses under salt stress. For all measured parameters, the models exhibited high regression coefficients and were statistically significant. The optimal conditions were established at 0.19 GA, 0.27 S. aegyptiaca, and 0.53 A. nodosum for optimum in FHY 37.63 (g), DHY 4.36 (g), EL 36.13 (%), SPAD 29.97 (%), RWC (%) 88.38, proline 1.91 (mg/g FW), MDA 5.21 (µmol/g FW), TPC 70.41 (mg GA/g FW), TFC 20.43 (mg Qu/g FW), PAL 3.90 (µmol cinnamic acid/g FW), DPPH scavenging activity 82.08 (%), GPX 0.78 (U min -1 g -1 FW), CAT 5.60 (U min -1 g -1 FW), APX 5.91 (U min -1 g -1 FW), alizarin 1.41(mg/g). The results indicated that the root extract effectively inhibited the growth of both bacteria compared to the control. In R. solanacearum and P. carotovorum, PDB: 5NMP and 4ZA2 exhibited notable affinities with ligand combinations, respectively. The synergistic models enhanced the potential effectiveness of the treatments and can help R. tinctorum reduce the adverse effects of salinity stress. The optimized formulation remains promising, offering significant and strategic potential for mitigating the adverse effects of salinity stress.

Polyoxometalate-Assisted Crystallization: A General Strategy Enabling Structural Characterization of Molecular Radium Complexes

3D UAV path optimization using a task-allocation and archive-guided mutation particle swarm optimization algorithm

Mechanical Bond–Mediated Metal–Organic Polyhedra Elastomer

Household-level WASH conditions and waterborne diseases among the Vantangiya Scheduled Tribe in India: A micro-scale spatial analysis

Climatic and anthropogenic factors shape the Asian range expansion of the invasive slug Arion vulgaris

Photo-Thermal Cocatalytic CO ₂ Methanation over Single-Atom Alloy Clusters

Assessment of pesticide use patterns among farmers in the Jamuna riverside regions of Tangail and Sirajganj districts, Bangladesh

Machine-Learning-Driven Molecular Dynamics Unravels Stereoelectronic Switching in Statistical Ensembles of Single-Molecule Junctions

A novel data augmentation method and a data-driven prediction model for surface flashover at gas–solid interfaces under nanosecond pulses

Abstract Surface flashover at gas–solid interfaces is a critical factor in electromagnetic pulse simulator reliability. To accurately predict flashover events over a wide surface distance range (15–500 mm), this paper develops a machine-learning-based classification model. Three experimental platforms with output ranging from ± 80 kV to ± 2000 kV were constructed, yielding 1245 valid data samples covering various surface distances, voltage polarities, gas pressures, electrode configurations, and voltage waveforms. To address severe class imbalance (flashover proportion > 85%) under certain experimental conditions, a data augmentation method based on the three-parameter Weibull distribution is proposed: non-flashover samples are generated by sampling below a low cumulative probability threshold ( U 10% recommended) after estimating Weibull parameters of flashover voltages, effectively mitigating imbalance and overfitting. Six algorithms including Support Vector Machine (SVM), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM) are trained with Bayesian hyperparameter optimization. The SVM model achieves the best performance on the test set: F1 score of 0.9111 and AUC of 0.9590. MLP achieves the second-best performance. The tree‑based ensemble methods show slightly lower F1-scores and exhibit a tendency towards overfitting. Feature importance and SHAP analysis are carried out to verify whether the model captures physically consistent mechanisms rather than spurious statistical correlations.

Enhanced optical response of chalcone doped methyl cellulose polymer films for optoelectronic applications

Abstract Chalcone doped Magnesium Nitrate: Methyl Cellulose (MCCA) polymer films were prepared through a solution casting approach to examine their structural, optical, and electrical characteristics. Chalcone (CA) was synthesized via Claisen-Schmidt condensation and introduced into the polymer matrix in varying concentrations (0–2 wt%). Structural confirmation of the synthesized compound was carried out using Fourier Transform Infrared Spectroscopy (FTIR), Nuclear Magnetic Resonance (NMR), and mass spectroscopic analyses. FTIR results of the prepared films revealed intermolecular interactions among chalcone, polymer chains, and salt through hydrogen bonding and coordination effects. X-ray diffraction studies indicated the semicrystalline nature of the prepared films. Optical measurements demonstrated a progressive red shift in the absorption edge and a decrease in optical band gap energy with increasing dopant content. Photoluminescence analysis confirmed distinct emission behavior of the modified films. Impedance studies showed ionic conductivity in the order of 10 − 5 S/cm, indicating that doping mainly enhanced optical properties without significantly affecting ionic transport. These findings demonstrate that chalcone doped MC films possess favourable structural, optical and electrical characteristics suitable for optoelectronic applications.

Geometry-Controlled Synergy of Adjacent Cu(I) Sites Enhances C–C Coupling for Efficient CO ₂ -to-C ₂₊ Electroreduction