Artificial Intelligence Unveils the Unseen: Mapping Novel Lung Patterns in Bronchiectasis via Texture Analysis.

Thin-section CT (TSCT) is currently the most sensitive imaging modality for detecting bronchiectasis. However, conventional TSCT or HRCT may overlook subtle lung involvement such as alveolar and interstitial changes. Artificial Intelligence (AI)-based analysis offers the potential to identify novel information on lung parenchymal involvement that is not easily detectable with traditional imaging techniques.

Eupatorin modulates BCPAP in thyroid cancer cell proliferation via suppressing the NF-κB/P13K/AKT signaling pathways.

Background: Thyroid carcinoma (TC), the most prevalent endocrine cancer worldwide, has become progressively more common, especially in women. Most TCs are epithelial-derived differentiated TCs, specifically papillary thyroid cancer (PTC). Although there are many therapeutic drugs available, curing TC is a difficult task.

Correction: Attrition in serum anti-DENV antibodies correlates with high anti-SARS-CoV-2 IgG levels and low DENV positivity in mosquito vectors-Findings from a state-wide cluster-randomized community-based study in Tamil Nadu, India.

[This corrects the article DOI: 10.1371/journal.pgph.

Effect of glimepiride versus teneligliptin in combination with metformin in type 2 diabetes mellitus patients.

Background: Long-term metabolic disease type 2 diabetes mellitus (T2DM) is distinguished by elevated blood glucose, insulin resistance, and drought of insulin with dyslipidemia. Oral hypoglycemic agents lower blood glucose levels as well as prevent both short-term and long-term complications such as micro/macrovascular atherosclerosis, chronic kidney diseases, and chronic heart disease. This study aims to compare the effect of glimepiride versus teneligliptin in combination with metformin in T2DM patients attending a tertiary care hospital.

Arts as a driver of agility: A mixed-method inquiry.

The Fifth Industrial Revolution focuses on building sustainability by balancing human factors (such as resilience and well-being) and technological innovations. This era of evolving, diverse, and turbulent business environments demands an agile workforce. However, scholars note a deficit in initiatives to boost agility due to the lack of evidence-based agility training practices.

Preclinical liver toxicity models: Advantages, limitations and recommendations.

Experimental animal models are crucial for elucidating the pathophysiology of liver injuries and for assessing new hepatoprotective agents. Drugs and chemicals such as acetaminophen, isoniazid, valproic acid, ethanol, carbon tetrachloride (CCl), dimethylnitrosamine (DMN), and thioacetamide (TAA) are metabolized by the CYP2E1 enzyme, producing hepatotoxic metabolites that lead to both acute and chronic liver injuries. In experimental settings, acetaminophen (centrilobular necrosis), carbamazepine (centrilobular necrosis and inflammation), sodium valproate (necrosis, hydropic degeneration and mild inflammation), methotrexate (sinusoidal congestion and inflammation), and TAA (centrilobular necrosis and inflammation) are commonly used to induce various types of acute liver injuries.

Pharmacoinformatics-based prediction of Checkpoint kinase-1 inhibitors from Momordica charantia Linn. for cancer.

Checkpoint kinase 1 (Chk-1), a serine/threonine kinase family protein, is an emerging target in cancer research owing to its crucial role in cell cycle arrest. Therefore, we aimed to predict potential Chk-1 inhibitors from Momordica charantia Linn., using high-throughput molecular docking.

Attrition in serum anti-DENV antibodies correlates with high anti-SARS-CoV-2 IgG levels and low DENV positivity in mosquito vectors-Findings from a state-wide cluster-randomized community-based study in Tamil Nadu, India.

The decline in dengue incidence and/or prevalence during the COVID-19 pandemic (2020-22) appears to be attributed to reduced treatment-seeking rates, under-reporting, misdiagnosis, disrupted health services and reduced exposure to mosquito vectors due to prevailing lockdowns. There is limited scientific data on dengue virus (DENV) disease during the COVID-19 pandemic. Here, we conducted a community-based, cross-sectional, cluster-randomized survey to assess anti-DENV and anti-SARS-CoV-2 seroprevalence, and also estimated the spatial distribution of DENV-positive aedine mosquito vectors during the COVID-19 pandemic across all the 38 districts of Tamil Nadu, India.

Isolated Idiopathic Inferior Rectus Myositis: Taming a Rare Disease at a Rare Site.

The authors report a case of a 66-year-old man with sudden-onset diplopia and redness in the left eye. The examination revealed left hypotropia with exotropia and limited elevation. Contrast-enhanced computed tomography and histopathology suggested inferior rectus myositis with fibrosis.

Sympathetic Overdrive and Role of Beta-blockers in Various Forms of Heart Failure: A Consensus Statement from India.

In heart failure, sympathetic overdrive is evidenced by norepinephrine spillover, receptor level changes, etc. Beta-blockers continue to be the cornerstone of treatment in patients with chronic heart failure due to their ability to counteract sympathetic overdrive. Extensive clinical research has demonstrated that long-term beta-blocker treatment with metoprolol succinate, carvedilol, or bisoprolol enhances left ventricular function and reverses left ventricular remodeling, decreases hospitalization risk, and increases survival.

Teacher's Competence in First-Aid Management of Epistaxis in Schools.

Introduction: Epistaxis is commonly referred to as nosebleeds. The age range in which it most frequently manifests itself is three to eight years old. One of the primary settings for pediatric epistaxis is schools since kids can get accidental injuries while playing.

Development of a near infrared region based non-invasive therapy device for diabetic peripheral neuropathy.

Diabetic Peripheral Neuropathy (DPN) is a nerve damage that is treated with painkillers and steroids which have the drawback of interference with other medications and the dangers of side effects. Novelty of the proposed work is to develop a Near Infrared Region (NIR) based non-invasive therapy device called 'DPNrelief-1.0V'developed with a 890 nm wavelength diodes.

Occurrence of protease-like catalytic activity in the polyclonal IgG in schizophrenia and bipolar disorder.

Neuro-immune dysfunction and inflammation are said to be involved in the aetiology of major mental illnesses. This study describes the assessment of the protease-like catalytic function of serum IgG in psychiatric disorders, schizophrenia and bipolar disorder, along with healthy controls of Indian ethnicity. Systemic lupus erythematosus patients experiencing neuropsychiatry conditions were included as comparators for the comprehensive evaluation of IgG catalytic function.

Advanced optimal control approaches for immune boosting and clinical treatment to enhance dengue viremia models using ABC fractional-order analysis.

Introduction: This work focuses on the Dengue-viremia ABC (Atangana-Baleanu Caputo) fractional-order differential equations, accounting for both symptomatic and asymptomatic infected cases. Symptomatic cases are characterized by higher viremia levels, whereas asymptomatic cases exhibit lower viremia levels. The fractional-order model highlights memory effects and other advantages over traditional models, offering a more comprehensive representation of dengue dynamics.

Sustainable sentiment analysis on E-commerce platforms using a weighted parallel hybrid deep learning approach for smart cities applications.

Sentiment analysis (SA) of several user evaluations on e-commerce platforms can be used to increase customer happiness. This method automatically extracts and identifies subjective data from product evaluations using natural language processing (NLP) and machine learning (ML) methods. These statistics may eventually reveal information on the favourable, neutral, or negative attitudes of the consumer base.

Hardware optimization for effective switching power reduction during data compression in GOLOMB rice coding.

Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. Golomb code is one of the effective technique for lossless data compression and it becomes valid only when the divisor can be expressed as power of two. This work aims to increase compression ratio by further encoding the unary part of the Golomb Rice (GR) code so as to decrease the amount of bits used, it mainly focuses on optimizing the hardware for encoding side.

Management of refractory rectal variceal bleed using computed tomography.

The management of refractory rectal variceal bleed using a minimally invasive percutaneous approach is described. Rectal varices are portosystemic collaterals that arise as a complication of portal hypertension. Bleeding is less common from rectal varices than from esophageal varices, but it is potentially life-threatening.

Untargeted Metabolomics and Gut Microbiota Modulation Study of Fermented Brown Rice for Obesity.

Obesity or excess adipose tissue mass increases the risk of heart disease, hypertension, and diabetes. Obesity might be prevented by consuming plant-based probiotic fermented foods. This study aimed to determine whether adding MNL5 to fermented brown rice (FBR) enhances its metabolites, lipase activity, and antioxidant efficiency.

Knowledge and attitude of adolescents towards sexual health and reproductive health technologies.

Reproductive health and reproductive health technologies are one of the challenging health studies in the developing world. The study focuses on the knowledge and attitude of adolescent students towards reproductive health technologies. It is the need and responsibility of all individuals especially adolescents (the future procreators) to know about Assisted Reproductive Technologies (ART) and the sexual health related to it.

Creating a resilient pedagogy: Character strengths intervention for aspiring educators.

Teachers play a crucial role in guiding learners through life's challenges. They face educational and socio-economic shifts while striving to teach for a better future. Our study focuses on equipping future teachers, called pre-service teachers, with resilience-building resources during their teacher training program.