Recent advances in electrochemical sensing and remediation technologies for ciprofloxacin.

Ciprofloxacin (CIP) is an extensively used broad-spectrum, fluoroquinolone antibiotic used for treating diverse bacterial infections. Effluent treatment plants (ETPs) worldwide lack technologies to detect or remediate antibiotics. CIP reaches the aquatic phase primarily due to inappropriate disposal practices, lack of point-of-use sensing, and preloaded activated charcoal filter at ETPs.

Pyrazoline Derivatives: Exploring the Synthesis and Development of New Ligands for Anti-Cancer Therapy.

Pyrazoline is a 5-membered ring that has two adjacent nitrogen. It has gained advanced attention from medical and organic chemists due to very low cytotoxic activities. It is applicable and more applied in research fields and has various pharmacological activities, including cardiovascular, anti-tumor, and anti-cancer properties.

Investigating heavy quarkonia binding in an anisotropic-dense quark-gluon plasma with topological defects in the framework of fractional non-relativistic quark model.

The quark-gluon plasma analysis relies on the heavy quark potential, which is influenced by the anisotropic plasma parameter temperature (t), and baryonic chemical potential (μ). Employing the generalized fractional derivative Nikiforov-Uvarov (GFD-NU) method, we solved the topologically-fractional Schrödinger equation. Two scenarios were explored: the classical model (α = β = 1) and the fractional model (α, β < 1).

Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crop Using Leaf Images.

Maize is a staple crop worldwide, essential for food security, livestock feed, and industrial uses. Its health directly impacts agricultural productivity and economic stability. Effective detection of maize crop health is crucial for preventing disease spread and ensuring high yields.

Mechanisms coupling the mTOR pathway to chronic obstructive pulmonary disease (COPD) pathogenesis.

Chronic Obstructive Pulmonary Disease (COPD) is a poorly reversible respiratory disorder distinguished by dyspnea, cough, expectoration and exacerbations due to abnormality of airways or emphysema. In this review, we consider the therapeutic potential of targeting Mammalian target of Rapamycin (mTOR) for treating COPD. The mTOR is a highly conserved serine-threonine protein kinase that integrates signals from growth factors and nutrients to control protein synthesis, lipid biogenesis and metabolism.

Recent advances in plant protein-based sustainable edible film and coatings for applications in the food-pharma industry - Opportunities and challenges: A review.

Plant protein-based edible film and coatings have emerged as eco-friendly alternatives to synthetic packaging, offering biodegradable, non-toxic solutions. Their biocompatibility and film-forming properties make them suitable for direct application on food products, reducing reliance on non-degradable plastics and lowering environmental pollution. Despite their promising advantages, challenges remain in optimizing mechanical properties, production scalability, and consumer acceptance.

Efficient removal of tetracycline by VCo-layered double hydroxide encapsulated with chitosan: Optimization via Box-Behnken design, and thermodynamics.

The VCo-LDH/CS hydrogel beads were created by combining VCo-layered double hydroxide (VCo-LDH) and chitosan (CS) using a cross-linking process with epichlorohydrin. These beads were specifically designed to remove tetracycline (TTC). To characterize the VCo-LDH/CS hydrogel beads, several analytical techniques were used, with PXRD, XPS, FESEM, EDX, and FT-IR.

An experimental and modelling approach to proclaim sustainable machining using avocado oil-based nano-cutting fluids.

Higher-end science and technology facilitate the human community with a sophisticated life despite it curses by abundant pollution. The alarming demand for sustainability pressurizes the manufacturing sector to ensure sustainable manufacturing. Since Molybdenum di sulfide (MoS) and avocado oil are known solid and liquid lubricants respectively, hence, it is a worthwhile attempt to implement the bio-based degradable avocado oil enriched with nano Molybdenum di sulfide (nMoS) particles as a potential machining fluid for CNC-end milling.

Hybrid optimization enabled DenseNet for autism spectrum disorders using MRI image.

Autism spectrum disorder (ASD) is the neuro-developmental disorder caused by various changes in the brain. It affects the life conditions with social interaction and communication. Most of the previous researches used the various techniques for the early detection to reduce the ASD, but it had been occurred several complications such as, time expenses, and low accessibility for diagnosis.

Smart crop disease monitoring system in IoT using optimization enabled deep residual network.

The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categorize plant diseases within an IoT network.

Advanced control parameter optimization in DC motors and liquid level systems.

In recent times, there has been notable progress in control systems across various industrial domains, necessitating effective management of dynamic systems for optimal functionality. A crucial research focus has emerged in optimizing control parameters to augment controller performance. Among the plethora of optimization algorithms, the mountain gazelle optimizer (MGO) stands out for its capacity to emulate the agile movements and behavioral strategies observed in mountain gazelles.

Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement.

The research study objective seeks to improve the efficiency of wind turbines using state-of-the-art techniques in the domain of ML, making wind energy the key player in fashioning a favorable future. Wind Turbine Health Monitoring (WTHM) is typically achieved through either vibration analysis or by using Supervisory Control and Data Acquisition (SCADA) data of wind turbines, wherein conventional fault pattern identification is a time-consuming, guesswork process. This work proposed an intelligent automated approach to early fault detection through the implementation of the HARO (Huber Adam Regression Optimizer) model, which combines Transformer networks with Lasso Regression and the Adam optimizer.

Synergistic inhibition of HIV-1 by Nelfinavir and Epigallocatechin Gallate: A novel nanoemulsion-based therapeutic approach.

The integration of nanotechnology into antiretroviral drug delivery systems presents a promising avenue to address challenges posed by long-term antiretroviral therapies (ARTs), including poor bioavailability, drug-induced toxicity, and resistance. These limitations impact the therapeutic effectiveness and quality of life for individuals living with HIV. Nanodrug delivery systems, particularly nanoemulsions, have demonstrated potential in improving drug solubility, enhancing bioavailability, and minimizing systemic toxicity.

Exploring the link between sex hormone-binding globulin levels and prostate cancer risk: a comprehensive systematic review and meta-analysis.

Background: Sex hormone-binding globulin (SHBG) plays a critical role in regulating androgen bioavailability and has been hypothesized to influence prostate cancer risk, though existing evidence is inconsistent. This systematic review and meta-analysis aimed to evaluate the association between SHBG levels and prostate cancer risk.

Methods: A comprehensive search was conducted across PubMed, Embase, and Web of Science for studies published up to December 1, 2024.

Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory.

Heart disease is a category of various conditions that affect the heart, which includes multiple diseases that influence its structure and operation. Such conditions may consist of coronary artery disease, which is characterized by the narrowing or clotting of the arteries that supply blood to the heart muscle, with the resulting threat of heart attacks. Heart rhythm disorders (arrhythmias), heart valve problems, congenital heart defects present at birth, and heart muscle disorders (cardiomyopathies) are other types of heart disease.

Rational designing of ZIF-67-derived CoO nanocomposite with hierarchical porous structure and extensive peroxidase mimetic activities for highly sensitive colorimetric detection of nitrite in drinking water.

A simple, fast, and cost-effective colorimetric nitrite (NO) sensor based on ZIF-67-derived CoO nanocomposite (ZCo-2 NC) structure has been developed. The prepared colorimetric sensor (ZCo-2 NC) was employed to sensitively detect NO in drinking water system by the exhibition of promising peroxidase-mimicking nanozyme-like features. The sensor manifest well-determined sensing response with excellent linear and wide range of NO sensitivity (0.

Targeting PD-1 in Squamous Cell Carcinoma: Flavonoid-based Therapeutics Unveiled through in silico and in vitro Approaches.

Introduction: Squamous cell carcinoma is a major public health concern, with traditional treatments such as surgery, chemotherapy, and radiation therapy frequently resulting in significant side effects. Immunotherapy targeting checkpoints such as PD-1, CTLA-4, and B7- H3 provides a more specific approach but incurs high costs due to monoclonal antibodies.

Aim And Objective: This study aims to investigate the potential of natural flavonoids as lowtoxicity, small molecule-based alternatives targeting the PD-1 immunological checkpoint for SCC treatment.

Insights into the biogenic production of nanocomposites of NiO-chitosan for wastewater remediation.

In our study, we have tried to enhance the biological qualities of nickel oxide nanoparticles and nanocomposites which were prepared using the extract of Aegle marmelos tree leaves and chitosan biopolymer. For in-depth study of the fabricated samples, numerous physiochemical approaches were utilized. The analysis used consists of field emission scanning electron microscopy with energy dispersive X-ray analysis and photoluminescence, X-ray diffraction, UV-visible spectroscopy, and Fourier transform infrared spectroscopy.

Revolutionizing Parkinson's treatment: Harnessing the potential of intranasal nanoemulsions for targeted therapy.

Parkinson's disease (PD) is the most prominent and highly prevalent chronic neuro-degenerative disease generally recognized by classical motor symptoms which are linked with genetic mutation, Lewy bodies, and subsequently selective loss of nigrostriatal dopaminergic neurons. The blood-brain barrier (BBB) and blood-cerebrospinal fluid barrier protect the central nervous system against toxins and are the most significant barriers to effective brain drug delivery in managing Parkinsonism. In recent years, intranasal delivery has attracted remarkable attention for brain targeting as the drug can be administered to the brain directly from the nose employing the trigeminal and olfactory pathways.

Ni-Co doped TiO catalyst for efficient photocatalytic degradation of Malachite Green under UV and direct sunlight.

In the present study, combustion-synthesized TiO nanoparticles were wet impregnated with Ni, Co, and Ni-Co, respectively. The photocatalytic performance of synthesized catalysts was evaluated against Malachite Green dye. The synthesized materials were characterized for crystallite size, surface morphology, elemental composition, and band gap using X-ray diffraction, scanning electron microscopy, energy dispersive spectroscopy, and ultra-violet diffused reflectance spectroscopy, respectively.

A Carbazole Acrylonitrile Substituted Turn-On Fluorescence Chemosensors for Cyanide Ion and its Application to Real Sample Analysis.

An efficient probe (E)-2-(benzo[d]thiazol-2-yl)-3-(9-ethyl-9 H-carbazol-3-yl)acrylonitrile (CZ-BTZ) for selective fluorescence "turn-on" response with cyanide (CN) ion sensor was developed by simple Knoevenagel condensation of 9-ethyl-9 H carbazole-3-carbaldehyde with 2-(benzo[d]thiazol-2-yl) acetonitrile. The sensing ability of probe CZ-BTZ was tested with different inorganic anions through spectrophotometric and spectrofluorimetric methods. The UV-vis and fluorescence spectral studies show the formation of a new adduct between CZ-BTZ and CN by appearing with a new absorbance band at 350 nm and "turn-on" fluorescence at 535 nm in CHCN: HO (8:2, v/v, pH 7.

Luminescent Cu nanoclusters-encapsulated ZIF-8 as on-off-on fluorescent probe for efficient and selective quantification of E. coli.

Rapid and accurate detection of Escherichia coli (E. coli) is critical for maintaining water quality, and protecting aquatic ecosystems and public health. This research focuses on the development of a Förster resonance energy transfer (FRET)-based "turn-on" fluorescent nanosensor for real time, sensitive detection of E.

Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy.

The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crude protein, crude fat, and dietary fiber) was analyzed following Association of Official Agricultural Chemists (AOAC) protocols.

Insights into the photocatalytic removal of malachite green organic pollutant by highly efficient hard responsive BaCoDyFeO catalysts.

The widespread discharge of organic dyes into the wastewater from various industrial processes has develop a major environmental apprehension in the modern world. To tackle such environmental issues, we are synthesizing a novel catalyst of composition, BaCoDyFeO (x = y = 0.02-0.