Data-Driven Polymer Classification Using BiGRU and Hybrid Metaheuristic Optimization Algorithms.

Polymers characterize a different and important class of materials through various industries, all with unique functional properties and structural attributes. Conventional models of polymer classification depend greatly on labor-intensive methods liable to human error and subjectivity. Hence, a continually growing requirement for new polymers with greater properties is a deep understanding and exploration of the chemical space.

Polymeric Membranes for Advanced Separation and Sensing: Materials and Mechanisms for Emerging Applications-A Review.

Polymeric membranes have emerged as pivotal tools in advanced separation technologies due to their tunable properties, processability, and cost-effectiveness. This review critically evaluates recent advancements in membrane technologies, with a focus on their applications in water treatment, energy systems, and biomedical fields. Notable developments include nanocomposite membranes with enhanced performance, such as PSF/MXene membranes achieving > 95% rejection of bovine serum albumin (BSA) and water permeabilities exceeding 400 L·m⁻·h⁻¹·bar⁻¹.

High-Accuracy Polymer Property Detection via Pareto-Optimized SMILES-Based Deep Learning.

Polymers have a wide range of applications in materials science, chemistry, and biomedical domains. Conventional design methods for polymers are mostly event-oriented, directed by intuition, experience, and abstract insights. Nevertheless, they have been effectively utilized to determine several essential materials; these techniques are facing important challenges owing to the great requirement of original materials and the huge design area of organic polymers and molecules.

Biomass-Based Sustainable Graphene for Advanced Electronic Technology: A Review.

Through its remarkable mechanical, electrical, and thermal qualities, graphene has become a revolutionary material in electronics. Sustainable graphene synthesis from biomass residues offers a possible path toward adhering to the demand for economical and ecologically friendly graphene production methods. The present study thoroughly examines the numerous biomass sources used for graphene synthesis, such as plant-derived materials, agricultural waste, and other organic leftovers.

Unexplained Hypercalcemia: A Clue to Adrenal Insufficiency.

Hypercalcemia secondary to adrenal insufficiency is a rare condition, but it must be recognized and treated promptly to prevent complications such as kidney damage, bone loss, and cardiac arrhythmias. The co-occurrence of hypercalcemia and adrenal insufficiency can be seen in some rare conditions such as sarcoidosis, however, hypercalcemia as a direct consequence of adrenal insufficiency is well documented in the literature but seldom recognized and often remains underdiagnosed. Symptoms of hypercalcemia in this setting include fatigue, weakness, nausea, vomiting, constipation, abdominal pain, confusion, and dehydration.

Adsorption kinetics and modeling of HS by treated waste oil fly ash.

Waste oil fly ash (OFA) collected from disposal of power generation plants was treated by physicochemical activation technique to improve the surface properties of OFA. This synthesized material was further used for potential hydrogen sulfide (HS) adsorption from synthetic natural gas. The raw OFA was basically modified with a mixture of acids (20% nitric acid [HNO] and 80% phosphoric acid [HPO]), and it was further treated with 2 M potassium hydroxide (KOH) to enhance the surface affinity as well as surface area of synthesized activated carbon.