Temporal trends and predictive modeling of air pollutants in Delhi: a comparative study of artificial intelligence models.

Air pollution monitoring and modeling are the most important focus of climate and environment decision-making organizations. The development of new methods for air quality prediction is one of the best strategies for understanding weather contamination. In this research, different air quality parameters were forecasted, including Carbon Monoxide (CO), Nitrogen Monoxide (NO), Nitrogen Dioxide (NO), Ozone (O), Sulphur Dioxide (SO), Fine Particles Matter (PM), Coarse Particles Matter (PM), and Ammonia (NH).

Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling.

With the continuous clamor for a reduction in embodied carbon in cement, rapid solution to climate change, and reduction to resource depletion, studies into substitute binders become crucial. These cementitious binders can potentially lessen our reliance on cement as the only concrete binder while also improving concrete functional properties. Finer particles used in cement microstructure densify the pore structure of concrete and enhance its performance properties.

A proposed framework to address metric inflation in research publications.

Background: Since the advent of online research metrics, which began with Web of Science in 1997, these metrics have been increasingly used to rank researchers and universities. Over the last two decades, the easy access to research metrics has greatly benefitted the academic community and beyond by providing quantitative measures for ranking researchers, universities and departments. However, this accessibility, accompanied by a tendency to quantitatively evaluate research quality and impact, has also shifted the focus toward practices aimed at enhancing research metrics rather than pursuing high-quality, potentially path-breaking research.

Integrative bioinformatic analysis to identify potential phytochemical candidates for glioblastoma.

Glioblastoma (GBM) is one of the most malignant forms of cancer with the lowest survival ratio. Our study aims to utilize an integrated bioinformatic analysis to identify hub genes against GBM and explore the active phytochemicals with drug-like properties in treating GBM. The study employed databases of DisGenet, GeneCards, and Gene Expression Omnibus to retrieve GBM-associated genes, revealing 142 overlapping genes.

Tunning the wettability of the PVDF membrane using the PVA-stabilized TA-UiO-66-NH2 MOF membranes to separate layered oil-water mixture and surfactant-stabilized emulsion.

This study introduces a UiO-66-NH2/Tannic acid/Polyvinylidene fluoride (UTP) composite membrane for efficient oil-water separation. Pristine polyvinylidene fluoride (PVDF) membranes, due to their hydrophobic nature, tend to foul during oil-in-water emulsion separation. By incorporating the metal-organic framework (MOF) UiO-66-NH2 and stabilizing it with tannic acid (TA) and polyvinyl alcohol (PVA), the membrane's hydrophilicity and antifouling properties were significantly enhanced.

Non-viral gene therapy for Leber's congenital amaurosis: progress and possibilities.

Leber's congenital amaurosis (LCA) represents a set of rare and pervasive hereditary conditions of the retina that cause severe vision loss starting in early childhood. Targeted treatment intervention has become possible thanks to recent advances in understanding LCA genetic basis. While viral vectors have shown efficacy in gene delivery, they present challenges related to safety, low cargo capacity, and the potential for random genomic integration.

Personalized dental crown design: A point-to-mesh completion network.

Designing dental crowns with computer-aided design software in dental laboratories is complex and time-consuming. Using real clinical datasets, we developed an end-to-end deep learning model that automatically generates personalized dental crown meshes. The input context includes the prepared tooth, its adjacent teeth, and the two closest teeth in the opposing jaw.

Bioremediation of dissolved organic compounds in produced water from oil and gas operations using Chlorella sorokiniana: a sustainable approach.

The sustainable treatment of petroleum-derived produced water (PW), a significant byproduct of oil and gas extraction, presents a persistent problem due to the presence of organic pollutants. This study examines the potential of the microalga Chlorella sorokiniana (C. sorokiniana) for the bioremediation of dissolved organic pollutants in PW.

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model.

Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. As the demand for affective computing technology grows, emotion recognition methods based on physiological signals have become research hotspots. Among these, electroencephalogram (EEG) signals, which reflect brain activity, are highly promising.

Handheld portable device for delivering capped silver nanoparticles for antimicrobial applications.

We describe a simple, cost-effective, green method for producing capped silver nanoparticles (Ag NPs) using a handheld portable mesh nebulizer. The precursor solution containing a 1:1 mixture of silver nitrate (AgNO) and ligand (glycerol or sodium alginate) was sprayed using the nebulizer. The Ag NPs were generated in the water microdroplets within a few milliseconds under ambient conditions without any external reducing agent or action of a radiation source.

Room-Temperature-Stabilized Alpha Tin Nanocrystals for In Vivo Toxicology Evaluation and Photothermal Therapy Corroborated by FFT Modeling.

Herein, we unveil a remarkable finding for synthesizing room-temperature-stable, nontoxic, ultrasmall free-standing diamond cubic tin nanocrystals (α-Sn) with beta forms in the aqueous phase, avoiding conventional approaches that typically use toxic elements or large reactive substrates (Si/InSb) to stabilize α-Sn above 13 °C. Herein, for the first time, we demonstrate the successful synthesis of free-standing alpha tin with extraordinary stability up to 80 °C and in the aqueous phase at room temperature, which was supported by powder X-ray diffraction and X-ray photoelectron spectroscopy characterization methods. This synthetic approach eliminates the need to use hazardous materials, bulky substrates, and elevated temperatures, offering a safer, low-cost, and more sustainable alternative.

Nonionic Demulsifier for Smart Demulsification of Crude Oil Emulsion at Room and Moderate Temperatures.

This study reports the demulsification activity of a newly developed nonionic demulsifier (NID) via the condensation of glycolic acid ethoxylate lauryl ether with amine. The demulsification performance of the developed NID was assessed under room and moderate temperatures (25 and 60 °C), while the concentrations of NID were varied from 100 to 700 ppm at both temperatures in order to observe their oil-water separation efficiency. The demulsification mechanism was expatiated by determining the viscosity and elastic modulus of emulsion in the presence and absence of the NID.

Evaluation of the effect of sodium alginate, hydroxyethyl cellulose, aspartame, and poly(ethylene oxide)-b-poly(propylene oxide) copolymer on the in-vitro corrosion of AZ31 Mg alloy in simulated body fluid.

Research on Mg-based implants has increased recently because of their compatibility and biodegradability. Despite this promise, challenges related to high corrosion rates hampered wide-scale deployment. This paper explores the inhibiting properties of biomacromolecules, sodium alginate (ALG), hydroxyethyl cellulose (HEC), aspartame (ASP), and poly(ethylene oxide)-b-poly(propylene oxide) copolymer (PEO-b-PPO) on AZ31 Mg alloy in simulated body fluid at 37 °C.

Onsite ammonia synthesis from water vapor and nitrogen in the air.

An innovative method for onsite ammonia synthesis under ambient conditions has been developed using a catalyst mesh composed of magnetite (FeO) and Nafion polymer. We pass air through the catalyst, which condenses microdroplets from atmospheric water vapor and uses nitrogen from the air, resulting in ammonia concentrations ranging from 25 to 120 μM in 1 hour, depending on local relative humidity. Operated at room temperature and atmospheric pressure, this technique eliminates the need for additional electricity or radiation, thereby substantially reducing carbon dioxide emissions compared to the traditional Haber-Bosch process.

Two new polyclad (Platyhelminthes: Polycladida) flatworm species from the Lakshadweep Islands, India.

Two new species of marine flatworms, Paraplanocera kalpeniensis sp. nov. and Pseudoceros bifascia sp.

An adaptive neural network approach for resilient leader-following consensus control of multi-agent systems under cyber-attacks.

This paper addresses the dynamic neural networks (DNNs) based resilient leader-following consensus control of multi-agent systems (MASs) under unidentified false data injection (FDI) attacks. We have examined generic linear leader-following agents in the context of stochastic FDI attacks on the network topology. When information is sent from one agent to another, it is altered as a result of the attacks.

PERSISTENT DIRAC OF PATHS ON DIGRAPHS AND HYPERGRAPHS.

This work introduces the development of path Dirac and hypergraph Dirac operators, along with an exploration of their persistence. These operators excel in distinguishing between harmonic and non-harmonic spectra, offering valuable insights into the subcomplexes within these structures. The paper showcases the functionality of these operators through a series of examples in various contexts.

Green solution for oil spills: A review on the role of surface-active ionic liquids.

Oil spills have long-lasting and harmful impacts on the environment, particularly on aquatic ecosystems. This review provides a comprehensive overview of conventional methods for oil spill removal, highlighting both their advantages and limitations. Traditional methods for addressing oil spills, including physical, thermal, biological and chemical techniques, often prove insufficient, with chemical dispersants being the most popular approach.

-Symmetry Breaking and Spin Control in 2D Antiferromagnetic MnSe.

Two-dimensional (2D) materials with intrinsic antiferromagnetic (AFM) order provide a unique avenue to harness both charge and spin degrees of freedom for practical spintronics applications. Here, by using ab initio electronic structure calculations, the interplay of discrete crystal symmetries (such as inversion ( ), time-reversal ( ), or combined symmetry) of 2D semiconducting AFM manganese selenide (MnSe) and external electric field along with graphene proximity is investigated. We show that both an external electric field and graphene proximity can independently break otherwise conserved combined symmetry in 2D MnSe, resulting in large and tunable spin-splittings in both valence and conduction bands, and provide electrical control over a wide energy range.

Sodium alginate and its modified counterpart as sustainable-based corrosion inhibitors for N80 pipeline carbon steel: Experimental and theoretical approach.

Sodium alginate is a highly promising biopolymer for use as an eco-friendly/green corrosion inhibitor (CI), despite its limited solubility. In this study, a green and water-soluble modified sodium alginate (MSA) salt was synthesized and employed as a CI on pipeline N80 carbon steel (N80CS) in artificial sea water (ASW) medium. Various analytical tools related to surface and structure were utilized to describe the properties of the newly synthesized MSA polymer.

Laboratory-based assessment of geotechnical characteristics of organic waste-amended soil for landfill biocover.

A landfill biocover is essential for addressing environmental concerns, especially in waste management, as it plays a crucial role in mitigating the release of methane gas. This study investigates the geotechnical characteristics of soil amended with organic wastes for landfill biocover applications. Various organic waste amendments, viz.

Erosion behavior of Al-SiC and Al-WC MMCs via powder metallurgy under solid particle impingement.

This study investigates the erosion behavior of Al-SiC and Al-WC metal-based composites in a solid particle impingement environment developed through powder metallurgy. Micro-sized powders of SiC and WC were utilized in different weight proportions (0-10 wt%) for fabricating the composite samples. The angle of impingements of 30-90° and impact velocity of 30-90 m/s were used for solid particle erosion testing.