A quality improvement initiative to improve growth monitoring of children attending immunization clinic in an urban primary health centre in Delhi.

Background: Immunization clinics present an opportunity for passive screening for malnutrition among young children through plotting of growth charts. Passive screening for malnutrition can enable timely interventions and improve morbidity and mortality of under-five children. Therefore, we aimed to increase the plotting of growth charts (weight-for-age) to 90%, among under-five children attending immunization clinics in an Urban Health Centre (UHC) in south Delhi over three months.

Natural and sexual selection and functional roles influence colouration but not the amount of variation in butterfly wing colour patterns.

Background: Trait variation is shaped by functional roles of traits and the strength and direction of selection acting on the traits. We hypothesized that in butterflies, sexually selected colouration is more variable owing to condition-dependent nature and directional selection on sexual ornaments, whereas naturally selected colouration may be less variable because of stabilising selection. We measured reflectance spectra, and extracted colour parameters, to compare the amount of variation in sexually versus naturally selected colour patches across wing surfaces and sexes of 20 butterfly species across 4 families (Nymphalidae, Papilionidae, Pieridae, Lycaenidae).

Periorificial dermatitis in infants and preschoolers - a narrative review.

Periorifical dermatitis (POD) is a papular, chronic inflammatory skin disease commonly seen in women in their 2nd to 4th decade of life. The major differential diagnosis is persistent acne. In children, POD is less common than in adults.

Role of stereotactic radiosurgery for intracranial epidermoid tumors: a systematic review to assess its safety, efficacy, and complication profile.

Background: Even a gross total resection of a benign epidermoid tumor (ET) carries a high risk of recurrence. The management strategy mostly involves redo surgical excision but at a significant cost of morbidity and mortality. The role of adjuvant radiation therapies in this scenario is still undefined.

Dengue Virus Fusion Peptide Promotes Hemifusion Formation by Disordering the Interfacial Region of the Membrane.

Membrane fusion is the first step in the infection process of the enveloped viruses. Enveloped viruses fuse either at the cell surface or enter the cell through endocytosis and transfer their internal genetic materials by fusing with the endosomal membrane at acidic pH. In this work, we have evaluated the effect of the Dengue virus fusion peptide (DENV FP) on the polyethylene glycol (PEG)-mediated lipid mixing of vesicles (hemifusion formation) at pH 5 and pH 7.

Histone Deacetylation in Alzheimer's Diseases (AD); Hope or Hype.

Histone acetylation is the process by which histone acetyltransferases (HATs) add an acetyl group to the N-terminal lysine residues of histones, resulting in a more open chromatin structure. Histone acetylation tends to increase gene expression more than methylation does. In the central nervous system (CNS), histone acetylation is essential for controlling the expression of genes linked to cognition and learning.

Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.

Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time access to precise and trustworthy effluent indices is crucial. Because wastewater treatment processes are complicated, nonlinear, and time-varying, it is essential to adequately monitor critical quality indices, especially chemical oxygen demand (COD). Traditional models for predicting COD often struggle with sensitivity to parameter tuning and lack interpretability, underscoring the need for improvement in industrial wastewater treatment.

Transethosomes: A Comprehensive Review of Ultra-Deformable Vesicular Systems for Enhanced Transdermal Drug Delivery.

The transdermal route is one of the effective routes for delivering drugs. It also overcomes many limitations associated with oral delivery. One of the limitations of this route is the drug's poor skin permeability-stratum corneum, the skin's outermost layer that also acts as a barrier for the drug to penetrate.

A comparative study of polydopamine vs. glass ionomer cement for adhesion mechanisms on enamel and dentin using SEM and shear bond strength evaluation.

Polydopamine (PD), inspired by the wet adhesion mechanism of mussel foot proteins, has emerged as a promising adhesive material with wide-ranging applications. This study aimed to compare the adhesive properties of PD and Glass Ionomer Cement (GIC) on enamel and dentin substrates, evaluating PD's potential as an alternative adhesive in dental practice. A total of 120 human premolars were prepared, with 80 teeth allocated for Scanning Electron Microscopy (SEM) analysis and 40 teeth reserved for shear bond strength testing.

Personalized Medicine Through Semisolid-Extrusion Based 3D Printing: Dual-Drug Loaded Gummies for Enhanced Patient Compliance.

Purpose: The purpose of this research was to develop and characterize dual-drug Isoniazid-Pyridoxine gummies using Semisolid Extrusion (SSE) 3D printing technology, aimed at personalized dosing for a broad patient demographic, from pediatric to geriatric. This study leverages SSE 3D printing, an innovative approach in personalized medicine, to enable precise dose customization and improve patient adherence. By formulating dual drug-loaded gummies, the research addresses the challenges of pill burden and poor palatability associated with traditional tuberculosis regimens, ultimately enhancing the therapeutic experience and effectiveness for patients across various age groups.

Microwave-Assisted Green Synthesis of Fluorescent Graphene Quantum Dots: Metal Sensing, Antioxidant Properties, and Biocompatibility Insights.

Graphene quantum dots (GQDs) are highly valued for their chemical stability, tunable size, and biocompatibility. Utilizing green chemistry, a microwave-assisted synthesis method was employed to produce water-soluble GQDs from Mangifera Indica leaf extract. This approach is efficient, cost-effective, and environmentally friendly, offering reduced reaction times, energy consumption, and uniform particle sizes, and has proven advantageous over other methods.

Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency.

In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective is to minimize the generation cost and environmental impact of microgrid systems by effectively scheduling distributed energy resources (DERs), including renewable energy sources (RES) such as solar and wind, alongside fossil-fuel-based generators. Four distinct demand response models-exponential, hyperbolic, logarithmic, and critical peak pricing (CPP)-are developed, each reflecting a different price elasticity of demand.

A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security.

Adversarial attacks were commonly considered in computer vision (CV), but their effect on network security apps rests in the field of open investigation. As IoT, AI, and 5G endure to unite and understand the potential of Industry 4.0, security events and incidents on IoT systems have been enlarged.

Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization.

Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with "curse of dimensionality" due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue.

Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring.

Power quality (PQ) disturbances, such as voltage sags, are significant issues that can lead to damage in electrical equipment and system downtime. Detecting and classifying these disturbances accurately is essential for maintaining reliable power systems. This paper introduces a novel approach to voltage sag analysis by employing wavelet packet analysis combined with energy-based feature extraction to enhance PQ monitoring.

A sustainable and green method for controlling acidic corrosion on mild steel using leaves of Araucaria heterophylla.

There are several studies that announce the inhibitory behavior of this sort of substance to strengthen the shield of metals, which is one of the positive benefits of green inhibitors. In the current investigation, Araucaria heterophylla studied as a green corrosion inhibitor to avert the mild steel during the acidic cleaning. The examination of this plant's ability to control corrosion at different concentrations in the acidic solution used certain expert measures.

Investigation of the physicochemical factors affecting the in vitro digestion and glycemic indices of indigenous indica rice cultivars.

Rice (Oryza sativa) is a vital food crop and staple diet for most of the world's population. Poor dietary choices have had a significant role in the development of type-2 diabetes in the population that relies on rice and rice-starch-based foods. Hence, our study investigated the in vitro digestion and glycemic indices of certain indigenous rice cultivars and the factors influencing these indices.

Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm.

The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions. This study proposes an advanced framework to detect and predict COVID-19 using deep learning from cough audio signals.

Spin transport properties in a topological insulator sandwiched between two-dimensional magnetic layers.

Non-trivial band topology along with magnetism leads to different novel quantum phases. When time-reversal symmetry is broken in three-dimensional topological insulators (TIs) through, e.g.

Determination of genetic diversity in persimmon accessions using morphological and inter simple sequence repeat markers.

Background: Persimmon (Diospyros kaki L.) belongs to the Ebenaceae family, which includes six genera and about 400 species. This study evaluated the genetic diversity of 100 persimmon accessions from Hatay province, Türkiye using 42 morphological and pomological traits, along with inter simple sequence repeat (ISSR) markers and multivariate analysis.

Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods.

Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.

Short-term effects of brief stair climbing interruptions on postprandial hyperglycemia during prolonged sitting: a randomized cross-over trial.

Prolonged sitting can negatively impact postprandial glucose levels and cognitive function. While short bouts of stair climbing are thought to mitigate these risks, the findings remain inconclusive. The present study aimed to explore the effects of stair climbing bouts on postprandial glucose and cognitive functions during prolonged sitting.