Construction of a Bi-doped g-CN/BiMoO ternary nanocomposite for the effective photodegradation of ofloxacin under visible light irradiation.

Water contamination is a result of the excessive use of antibiotics nowadays. Owing to this environmental toxicity, photocatalytic degradation is the primary approach to non-biological degradation for their removal. In this context, zerovalent Bi-doped g-CN/BiMoO [g-CN/Bi@BiMoO] ternary nanocomposite was prepared using the wet impregnation method.

Research on transition metals for the multicomponent synthesis of benzo-fused γ-lactams.

Benzo-fused γ-lactams are fundamental in medicinal chemistry, acting as essential elements for various therapeutic agents due to their structural adaptability and capability to enhance biological activity. In their synthesis, transition metals play a pivotal role as catalysts, offering more efficient alternatives to traditional methods by facilitating C-N bond formation through mechanisms like intramolecular coupling. Recent advances have especially spotlighted transition-metal-catalyzed C-H amination reactions for directly converting C(sp)-H to C(sp)-N bonds, streamlining the creation of these compounds.

Prevalence of dengue and leptospirosis coinfection and associated mortality rates: a systematic review and meta-analysis.

Background: Dengue and leptospirosis are prominent vector-borne diseases in tropical and subtropical regions, sharing overlapping geographic distribution and clinical presentations, which complicates diagnosis and management. Co-infection of these pathogens places additional strain on healthcare resources in endemic areas. This study aims to systematically estimate the prevalence and mortality rates of dengue and leptospirosis co-infections and assess their clinical implications.

L-Histidine-functionalized KIT-6 with embedded palladium nanoparticles as an efficient heterogeneous catalyst for oxidation of sulfide to sulfoxide and amination of aryl halides.

Palladium nanoparticles were supported on L-H-functionalized KIT-6 (KIT-6@L-H-Pd) and evaluated using various characterization techniques such as TGA, FT-IR, SEM, XRD, EDS, and BET. KIT-6@L-H-Pd showed excellent catalytic performance as a recyclable nanocatalyst for the oxidation of sulfides to sulfoxides and the amination of aryl halides. This approach offers multiple benefits, including the use of readily available and cost-effective materials, a straightforward procedure, short reaction durations, high yields, and a catalyst that is easy to separate and reuse.

Experimental approaches to evaluate solid lipid nanoparticle-based drug delivery systems.

Solid lipid nanoparticles (SLNs) are potential drug carriers due to the several advantages they offer. The physicochemical stability of lipid carriers varies significantly due to their diverse compositions and structures. Appropriate analytical methods are required for the complete characterization of SLNs.

Rituals of Harm: Castration and Genealogies of Sacred Wound Cultures in the Hijra Communities of India.

Existing within hierarchical kinship networks, requiring patronage of gurus, hijras, a 'third' gender community, undergo mandatory apprenticeship to a commune life through a discipleship-lineage system where castration is seen as a necessary truth and final rite of passage to achieve a virtuous hijra identity. This article examines the subjectivities of hijras from working-class backgrounds and narrows its focus to analyse how individual hijras develop an understanding of themselves from their occupied subject positions in the larger hijra community shaped by internal hijra cultural traditions (parampara) manifested through rituals of harm. Based on long-term ethnographic fieldwork of 10 years in New Delhi and its neighbouring states, this article discusses the genealogies of wound cultures through castration in the hijra community acquired through their experiential and vernacular knowledge systems of self-flagellation as a practice of ethical self-making for their sacred rebirth in a nirvana (a state of freedom from all suffering) body.

Minimal sourced and lightweight federated transfer learning models for skin cancer detection.

One of the most fatal diseases that affect people is skin cancer. Because nevus and melanoma lesions are so similar and there is a high likelihood of false negative diagnoses challenges in hospitals. The aim of this paper is to propose and develop a technique to classify type of skin cancer with high accuracy using minimal resources and lightweight federated transfer learning models.

A comprehensive review of sustainable hydrogels from lignin for advanced wastewater solutions.

Throughout the recent years, water bodies have been significantly contaminated via various industrial and pollution wastes posing threats to the living. To tackle the situation, Lignin-Based Hydrogels have appeared as a material with great potential for wastewater treatment. Biomass-derived polymers for wastewater treatment present a sustainable replacement to plastics based on petroleum owing to its biocompatibility, affordability, eco-friendliness and biodegradability.

In Silico design and molecular dynamics analysis of imidazole derivatives as selective cyclooxygenase-2 inhibitors.

Cyclooxygenase-2 (COX-2), a key enzyme in the inflammatory pathway, is the target for various nonsteroidal anti-inflammatory drugs (NSAIDs) and selective inhibitors known as coxibs. This study focuses on the development of novel imidazole derivatives as COX-2 inhibitors, utilizing a Structure-Activity Relationship (SAR) approach to enhance binding affinity and selectivity. Molecular docking was performed using Autodock Vina, revealing binding energies of -6.

A Review on Medicinal Approaches of Novel Imatinib Derivatives.

Phenyl amino pyrimidine attracts researchers due to its versatile scaffold and medicinal significance. This significant moiety present in the Imatinib contributed to medicinal chemistry. In this manuscript, we reviewed various derivatives of Imatinib containing 2-phenylaminopyrimidine, which has a variety of roles, especially in the anti-cancer category.

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.

Machine learning-based estimation of crude oil-nitrogen interfacial tension.

Accurate estimation of interfacial tension (IFT) between nitrogen and crude oil during nitrogen-based gas injection into oil reservoirs is imperative. The previous research works dealing with prediction of IFT of oil and nitrogen systems consider synthetic oil samples such n-alkanes. In this work, we aim to utilize eight machine learning methods of Decision Tree (DT), AdaBoost (AB), Random Forest (RF), K-nearest Neighbors (KNN), Ensemble Learning (EL), Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Multilayer Perceptron Artificial Neural Network (MLP-ANN) to construct data-driven intelligent models to predict crude oil - nitrogen IFT based upon experimental data of real crude oils samples encountered in underground oil reservoirs.

Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning.

Real-time monitoring and anomaly detection are essential in healthcare to ensure safe conditions for patients and maintain the integrity of medical data samples. The majority of existing systems, despite improvements in healthcare technologies, cannot capture the spatial and temporal patterns of multimodal data simultaneously, process high Volume data in real-time, and ensure the privacy of patients' identity effectively. In this work, we handle these limitations by proposing a complete approach that uses state-of-the-art deep learning and data processing architectures to realize resilient anomaly detection in healthcare systems.

Computational evaluation of micropores wetting effect on the removal process of CO through the membrane contactor.

In the current years, gas-liquid membrane contactors (GLMCs) have been introduced as a promising, versatile and easy-to-operate technology for mitigating the emission of major greenhouse contaminants (i.e., CO and HS) to the ecosystem.

Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods.

Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. Therefore, accurately estimation rock saturation exponent is necessary in this regard. In this communication, we aim to develop intelligent data-driven models of decision tree, random forest, ensemble learning, adaptive boosting, support vector machine and multilayer perceptron artificial neural network to predict rock saturation exponent parameter in terms of rock absolute permeability, porosity, resistivity index, true resistivity, and water saturation based on acquired 1041 field data.

Synthesis, X-ray, antioxidant, in-vitro biological & in-silico docking studies of novel organoselenides: Promising colorectal cancer inhibitors.

A series of multi-target organoselenides 3a-h has been synthesized with the advantages of a simple operation, and good yields of 66-89 % escorted by mechanistic enlightenment. The compounds 3b, 3c continued to exist as orthorhombic and trigonal, whereas 3d exist as monoclinic confirmed by the X-ray crystallography. Organoselenides 3c and 3f displayed the highest % radical scavenging potential with % inhibition of 98.

Robustic and hybrid cobalt doped BaFeO hexaferrites for the photocatalytic degradation of Congo Red for wastewater treatment.

The industrial sector faces a significant challenge in finding the highly effective and efficient treatments for harmful dye-based color effluents. In this study, pure and cobalt doped barium hexaferrite of chemical formula, BaCoFeO (x = 0-0.06) are made via sol-gel auto-combustion (SC) methodology.

A robust MPPT framework based on GWO-ANFIS controller for grid-tied EV charging stations.

As electric vehicles gain popularity, there has been a lot of interest in supporting their continued development with the aim of enhancing their dependability, environmental advantages, and charging efficiency. The scheduling of navigation and charging for electric vehicles is among the most well-known research topics. For optimal navigation and charging scheduling, the coupled network state between the transportation and power networks must be met; moreover, the scheduling outcomes might significantly impact these networks.

Impact of psychological fear and media on infectious diseases induced by carriers.

To manage risks and mitigate the transmission of infectious diseases, individuals often adopt strategies aimed at reducing interpersonal contact by implementing precautionary measures within their daily routines. These behavioral adjustments reduce the disease transmission rates. In this study, we present a novel mathematical model delineating diseases induced by carriers, incorporating multifaceted factors, such as psychological fear, media impact, and sanitation interventions.

Exosome-mediated delivery of CRISPR-Cas9: A revolutionary approach to cancer gene editing.

Several molecular strategies based on targeted gene delivery systems have been developed in recent years; however, the CRISPR-Cas9 technology introduced a new era of targeted gene editing, precisely modifying oncogenes, tumor suppressor genes, and other regulatory genes involved in carcinogenesis. However, efficiently and safely delivering CRISPR-Cas9 to cancer cells across the cell membrane and the nucleus is still challenging. Using viral vectors and nanoparticles presents issues of immunogenicity, off-target effects, and low targeting affinity.

Effect of soluble fiber supplementation on lipid parameters in subjects with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials.

Background: There is no consensus in the existing literature regarding the effect of soluble fiber on the lipid profile of patients with type 2 diabetes mellitus (T2DM). This systematic review and meta-analysis of randomized controlled trials aimed to assess the effect of soluble fiber on triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) in T2DM patients.

Methods: PubMed/MEDLINE, Scopus, and ISI Web of sciences were searched for RCTs up to 4 May 2024.

Exploring role of citrus fruits in comorbid neurodegenerative disorders associated with psoriasis.

A neurodegenerative illness is a disorder in which the brain and/or spinal cord's neurons, or nerve cells, gradually deteriorate and disappear. These illnesses often get worse with time and can seriously affect movement, cognition, and other neurological functions. Psoriasis is a long-term autoimmune skin condition marked by fast skin cell growth that results in red, elevated areas coated in silvery-white scales.

A novel deep learning model for predicting marine pollution for sustainable ocean management.

Climate change has become a major source of concern to the global community. The steady pollution of the environment including our waters is gradually increasing the effects of climate change. The disposal of plastics in the seas alters aquatic life.