Exclusive Detection of Ni, Cu, Zn, and CO Ions Using a Novel Schiff Base.

This study reports the synthesis, characterization, and multifunctional sensing capabilities of a novel quinoline-based Schiff base ligand (L), designed for selective and sensitive detection of Ni, Cu, Zn ions, and CO⁻ anions. L exhibits distinct colorimetric responses visible to the naked eye-pale yellow to amber red for Ni, caramel brown for Cu, and canary yellow for Zn-enabling efficient and straightforward detection. Fluorescence studies reveal a selective green fluorescence "turn-on" response for Zn, complemented by fluorescence quenching in the presence of CO⁻, demonstrating the ligand's reusability and robustness.

Voltage and frequency regulation in wind penetrated deregulated power system using an electric vehicle and IPFC assisted model predictive controller.

This paper presents a coordinated voltage and frequency control strategy for a wind-integrated deregulated dual-area power system comprising three Generation Companies (GENCOs), diesel, thermal, and wind-and three Distribution Companies (DISCOs) in each area. A Harris Hawks Optimization-based Model Predictive Controller (MPC-HHO) is proposed to enhance system performance under three distinct market scenarios: poolco, bilateral, and contract violation modes. The proposed controller is benchmarked against conventional PID, fractional-order PIDF, and MPC schemes optimized via Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA).

Dynamic estimation of probability density using quantum neural network based on simple harmonic oscillator perturbed by an electric field.

In this research work quantum neural network using simple harmonic oscillator perturbed by an electric field is proposed. This work demonstrated that it is possible to generate a time varying wave function in Schrodinger's equation by controlling the electric field applied to a quantum harmonic oscillator, whose modulus square tracks a given probability density function (PDF). The adaptation scheme for the control electric field is generated via stochastic gradient algorithm.

Insights of Surface Enhancing Raman Spectroscopy for Biomedical Application.

Raman spectroscopy is a powerful, non-invasive analytical technique that enables rapid identification of molecules based on their unique spectral fingerprints. Its sensitivity has been significantly enhanced through the use of metal nanoparticles in Surface-Enhanced Raman Spectroscopy (SERS), where molecules adsorbed on rough metallic surfaces or colloids produce Raman signals amplified by several orders of magnitude. This enhancement has opened new possibilities for molecular detection, particularly in surface chemistry and biomedical diagnostics.

Predicting Onset of Visual Hallucinations Using Pareidolias: A Qualitative Exploration of the Ethics of a Digital App to Detect a Possible Biomarker.

This study aimed to assess ethical considerations for using digital biomarkers in predicting the onset of neuropsychiatric disease. The study employed semi-structured interviews with 21 people ( = 16 people at-risk for hallucinations and = 5 current patients who experience visual hallucinations). The interview questions were grounded in the Consolidated Framework for Implementation Research (CFIR).

Parametric optimization for electrical discharge diamond grinding (EDDG) system using dual approach.

Generally, electrically conductive materials are extremely sturdy and stiff, electric discharge milling (EDM) is a broadly utilized method. The usage of diamond grinding together with EDM in a machine is called the " and Electrical Discharge Diamond Grinding " (EDDG) gadget is an extensively used method for producing strong, long-lasting electrically conductive substances. The Modified Ant Lion Optimization- Artificial Neural Network (MALO-ANN) technique is recommended to boost the performance of EDDG machine.

Impact of particle structure on the storage stability and release kinetics of essential oil encapsulated in shellac particle for high-barrier paper coatings for food packaging applications.

Essential oil (EO) as an active component is a novel way to ensure food safety in packaging. Nevertheless, consistently retaining EO during package storage (SR) and release kinetics (RK) poses a major challenge. In this study, isotropic shellac: EO particles monophasic, biphasic (Bf), and core-shell were fabricated by loading EO into shellac-based electrosprayed microparticles.

Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks.

Crop yield is important for agricultural productivity and the country's economy. While crop yield estimation is an essential aspect of modern agriculture, it continues to be one of the most challenging tasks to manage effectively. Corn and soybean are the important crops in Illinois, USA, considerably enhancing the region's agricultural output and economy.

A common grounded ultra-wideband diversity/MIMO antenna with high inter-element isolation.

An ultra-wideband (UWB) multiple input multiple output (MIMO) antenna with two ports, a low profile of 0.354λ × 0.734λ, with good isolation is suggested.

Targeting Type III Secretion System using : A Promising Candidate for Innovative Antibacterial Therapy.

One of the most significant problems of the twenty-first century is the appearance and rapid evolution of multiple drug-resistant (MDR) bacterial strains. The emergence of resistance towards available drugs poses a growing threat to global public health. Unfortunately, developing new antibiotics is a tedious and difficult challenge, urging the research community to strive for unusual clinical targets with a different mode of action.

Enhancing the Mechanical Performance of Dual-Phase Steel Through Multi-Axis Compression and Inter-Critical Annealing.

This study examines the microstructural evolution, mechanical properties, and wear behavior of medium-carbon dual-phase steel (AISI 1040) processed via Multi-Axis Compression (MAC). The DP steel was produced through inter-critical annealing at 745 °C, followed by MAC at 500 °C, resulting in a refined grain microstructure. Optical micrographs confirmed the presence of ferrite and martensite phases after annealing, with significant grain refinement observed following MAC.

Neural network based AI model for lung health assessment.

Treating pulmonary diseases is pivotal in healthcare since they are the third leading cause of mortality globally. To aid medical experts in diagnosis, various studies have been conducted using artificial intelligence (AI) compatible devices to analyze lung sounds recorded with a stethoscope. In this paper, four datasets have been considered as a combination of two public datasets to assess the performance of the proposed approach.

An ensemble-based enhanced short and medium term load forecasting using optimized missing value imputation.

Electricity load forecasting is integral to planning, energy management, and the energy market. Utility companies serve a massive number of customers by supplying electricity. These utility companies require a precise forecast of electricity usage.

Stereoselective Synthesis of Functionalized Indenes Regioselective Cascade Iodoalkylation of Alkynes.

Herein, an unprecedented and modular strategy for the stereoselective construction of functionalized indene scaffolds has been developed a base-promoted, regioselective cascade iodoalkylation of alkynes. Michael addition of methanol to the carbon-carbon double bond initiated the consecutive formation of C-O, C-C, and C-I bonds in a single operation. The product features an exocyclic double bond and versatile functional groups (-CN, -COOEt, -I, -OMe), offering scope for transformation into biologically active pharmacophores.

Advancements in Biogas Digester Materials: A Review of Strength, Durability, and Suitability.

This paper explores the materials used to construct biogas digesters, essential for sustainable energy production. The study investigates various materials, such as thermoplastics like polyvinyl chloride (PVC), polyethylene (PE), and high-density polyethylene (HDPE), as well as traditional construction elements like masonry, stone, and concrete. It considers metals such as steel and composite materials, which all contribute to the efficacy and strength of biogas digesters.

Photocatalytic Synthesis of Succinimides from Aza-1,6-Enynes.

Succinimides are an essential structural component of many natural products, clinical drug molecules, and pharmacophores, but are challenging to synthesize difunctionalized succinimides in a single operational step. In this study, we report an operationally simple protocol for the stereoselective synthesis of functionally and structurally diverse succinimides using readily accessible aza-1,6-enynes. The strategy relies on the of use visible-light-mediated photocatalysis with a readily available 4CzIPN photocatalyst.

Tailor-Made Chitosan-Azovanillin Photochromic Schiff Bases for Antimicrobial Applications.

Functional biomaterials with responsive properties are in high demand due to their potential application as antimicrobial agents. In this study, we have developed a photochromic chitosan-Azo-Schiff base using condensation reactions of chitosan with three derivatives of azobenzene. The biopolymers thus produced were characterized by Fourier-transform infrared spectroscopy, thermogravimetric analysis, differential scanning calorimetry, scanning electron microscopy, and X-ray diffraction.

Efficient system for classifying cyclic alternating pattern phases in sleep.

Electroencephalogram (EEG) signals are a popular tool to analyze sleep patterns. Cyclic alternating patterns (CAP) can be observed in EEG signals during unconscious periods of sleep. Detailed study of CAP can help in early diagnosis of many sleep disorders.

An ensemble deep learning framework for emotion recognition through wearable devices multi-modal physiological signals.

The widespread availability of miniaturized wearable fitness trackers has enabled the monitoring of various essential health parameters. Utilizing wearable technology for precise emotion recognition during human and computer interactions can facilitate authentic, emotionally aware contextual communication. In this paper, an emotion recognition system is proposed for the first time to conduct an experimental analysis of both discrete and dimensional models.

A review of chitosan-functionalized graphene oxide nanocomposites: A revolutionary drug delivery vehicle for cancer therapy.

Cancer stands out as the primary cause of mortality globally. The variety of cancer-causing cells and their ability to adapt to the normal cellular milieu substantially complicates the treatment of cancer. Traditional cancer treatments encounter numerous constraints, including considerable side effects, insufficient efficacy and poor selectivity.

Analysis of stress response in multiple bacterial pathogens using a network biology approach.

Stress response in bacterial pathogens promotes adaptation, virulence and antibiotic resistance. In this study, a network approach is applied to identify the common central mediators of stress response in five emerging opportunistic pathogens; Enterococcus faecium Aus0004, Staphylococcus aureus subsp. aureus USA300, Klebsiella pneumoniae MGH 78,578, Pseudomonas aeruginosa PAO1, and Mycobacterium tuberculosis H37Rv.

Understanding the impact of aravalli hills mining on groundwater contamination of Delhi, India.

Groundwater contamination poses a significant threat to public health and environmental sustainability, particularly in regions impacted by anthropogenic activities such as mining. The purpose of this study was examining the degree of groundwater contamination in Delhi, India, particularly regarding the effects of mining operations in the Aravalli Hills. This study uses an integrated approach that includes the water quality index (WQI), modified heavy metal pollution index, human health risk assessment (HHRA), and geospatial techniques to evaluate the effects of mining on groundwater quality.

Novel potent heterocyclic Grb2-SH2 domain antagonists as potential anti-proliferative agents.

Growth factor receptor-bound protein 2 (Grb2) plays a critical role in proliferative diseases by binding phosphotyrosine residues on target proteins leading to activation of key pathways. The phosphotyrosyl motif of Focal Adhesion Kinase (FAK) has been utilized as a pharmacophore to identify small molecules that disrupt its interaction with the Grb2 Src Homology 2 (SH2) domain. In this study, we report the hit-to-lead optimization of 11,12,479 synthesizable analogs of previously identified Grb2-SH2 antagonists via virtual screening using AutoDock Vina v1.