A Comprehensive Review of Experimental Models of Stress: Pragmatic Insight Into Psychoneuroimmunology.

Psychoneuroimmunology is a scientific discipline exploring the interconnectedness of the nervous system, emotion state, and immune system. The current review examines the distinct mechanisms through which the mind and body interact when subjected to stress. Manifestations of psychoneuroimmunological stress encompass symptoms such as depression, aggression, fear, and social withdrawal, which can exert a profound impact on physiological well-being.

A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.

BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting institutions to adopt online teaching.ObjectiveThis study delves into the effectiveness of these methods during the lockdown in Pakistan, employing machine learning techniques for data analysis.MethodsA cross-sectional online survey was conducted with 300 respondents using a semi-structured questionnaire to assess perceptions of online education.

A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models.

Background And Objective: This study delves into the parenting cognition perspectives on COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It aims to correlate these perspectives with sociodemographic factors and employ advanced machine-learning techniques for comprehensive analysis.

Method: Data collection involved a semi-structured questionnaire covering parental knowledge and attitude on COVID-19 symptoms, transmission, protective measures, and government satisfaction.

A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques.

Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high computational demands hinder their practical use in clinical environments.

Objective: This study aims to address the computational inefficiencies of deep neural networks by proposing a lightweight model that integrates model compression techniques, ConvLSTM layers, and ConvNext Blocks, all optimized through Knowledge Distillation (KD).

SVMVGGNet-16: A Novel Machine and Deep Learning Based Approaches for Lung Cancer Detection Using Combined SVM and VGGNet-16.

Background And Objective: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating early and accurate detection methods. Our study aims to enhance lung cancer detection by integrating VGGNet-16 form of Convolutional Neural Networks (CNNs) and Support Vector Machines (SVM) into a hybrid model (SVMVGGNet-16), leveraging the strengths of both models for high accuracy and reliability in classifying lung cancer types in different 4 classes such as adenocarcinoma (ADC), large cell carcinoma (LCC), Normal, and squamous cell carcinoma (SCC).

Methods: Using the LIDC-IDRI dataset, we pre-processed images with a median filter and histogram equalization, segmented lung tumors through thresholding and edge detection, and extracted geometric features such as area, perimeter, eccentricity, compactness, and circularity.

Bacterial pore-forming toxin pneumolysin drives pathogenicity through host extracellular vesicles released during infection.

is a global priority respiratory pathogen that kills over a million people annually. The pore-forming cytotoxin, pneumolysin (PLY) is a major virulence factor. Here, we found that recombinant PLY as well as wild-type pneumococcal strains, but not the isogenic PLY mutant, upregulated the shedding of extracellular vesicles (EVs) harboring membrane-bound toxin from human THP-1 monocytes.

Progress and trends in neurological disorders research based on deep learning.

In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging, offering unprecedented opportunities for the diagnosis and treatment of neurological disorders (NDs). This comprehensive review explores the multifaceted role of DL techniques in leveraging vast datasets to advance our understanding of NDs and improve clinical outcomes. Beginning with a systematic literature review, we delve into the utilization of DL, particularly focusing on multimodal neuroimaging data analysis-a domain that has witnessed rapid progress and garnered significant scientific interest.

Efficacy and classification of linn seeds with mill oil in uncomplicated pelvic inflammatory disease using machine learning.

As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Linn seeds with Mill Oil in uPID with standard control.

Efficacy of a vaginal suppository formulation prepared with (Lam.) Willd. gum and (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique.

This study aims to determine the efficacy of the (Lam.) Willd. and (L.

Encyclopaedic Review of Glipizide Pre-clinical and Clinical Status.

Glipizide is an oral glucose-lowering medication that is beneficial for the treatment of type 2 diabetes. This study compiles exhaustively all accessible information on glipizide, from preclinical to clinical studies. Glipizide may be used in concert with TRAIL to treat cancer cells; in vitro studies have shown that it suppresses angiogenesis and vasculogenesis while shielding cells from glycation-induced damage.

Emerging Nanotechnology for the Treatment of Alzheimer's Disease.

Nanotechnology is a great choice for medical research, and the green synthesis approach is a novel and better way to synthesize nanoparticles. Biological sources are cost-effective, environmentally friendly, and allow large-scale production of nanoparticles. Naturally obtained 3 β-hydroxy-urs- 12-en-28-oic acids reported for neuroprotective and dendritic structure are reported as solubility enhancers.

Receptor for Advanced Glycation End Products: Dementia and Cognitive Impairment.

The pathophysiological processes of dementia and cognitive impairment are linked to advanced glycation end products (AGEs) and their receptor (RAGE).The neurofibrillary tangles (NFTs) of abnormally hyperphosphorylated tau protein and senile plaques (SPs), which are brought on by amyloid beta (Aβ) deposition, are the hallmarks of Alzheimer's disease (AD), a progressive neurodegenerative condition. Advanced glycation end products that are produced as a result of vascular dysfunction are bound by the receptor for advanced glycation end products (RAGE).

Repurposing of Drugs for Cardiometabolic Disorders: An Out and Out Cumulation.

Cardiometabolic disorders (CMD) is a constellation of metabolic predisposing factors for atherosclerosis such as insulin resistance (IR) or diabetes mellitus (DM), systemic hypertension, central obesity, and dyslipidemia. Cardiometabolic diseases (CMDs) continue to be the leading cause of mortality in both developed and developing nations, accounting for over 32% of all fatalities globally each year. Furthermore, dyslipidemia, angina, arrhythmia, heart failure, myocardial infarction (MI), and diabetes mellitus are the major causes of death, accounting for an estimated 19 million deaths in 2012.

Meticulous parade on naringin respecting its pharmacological activities and novel formulations.

Objective: Medicinal plants having antioxidant potential possess numerous constituents which are responsible for different beneficial effects and are used as an alternative resource of medicine to lessen diseases linked with oxidative stress. Flavonoids are identified in the plants since ages and display wide spectrum of biological actions that might be able to stimulate the steps which are disturbed in different diseases. Flavonoids are significant natural compounds with various biologic properties, among which the most common is the anti-oxidant potential.

Aftermath of AGE-RAGE Cascade in the pathophysiology of cardiovascular ailments.

Amidst several pathophysiological cascades, Advanced Glycation End products (AGEs) have been identified as a pivotal aetiology behind the pathogenesis and progression of cardiovascular disorders, by inducing oxidative stress and inflammation of myocardial and vascular tissues. Non-enzymatic glycation of reducing sugars with amino acids in proteins, lipids, and nucleic acids produce AGEs, which are a diverse set of compounds. Although AGEs are mostly generated endogenously, current research suggests that nutrition is a major exogenous source of AGEs.

Pleiotropic Benefits of Statins in Cardiovascular Diseases.

In 1976, Japanese microbiologist Akira Endo discovered the first statin as a product of the fungus that inhibited the activity of 3-hydroxy-3-methylglutaryl coenzyme A reductase. Their primary mode of action is to lower the blood cholesterol by decreasing hepatic cholesterol production, which upregulates hepatic low-density lipoprotein (LDL) receptors and increases LDL-cholesterol clearance. In addition to cholesterol lowering, statins inhibit other downstream products of the mevalonate pathway, causing the so-called pleiotropic effects.

Emerging Roles of Extracellular Vesicles in Pneumococcal Infections: Immunomodulators to Potential Novel Vaccine Candidates.

The Gram-positive bacterial pathogen, is a major global health threat that kills over one million people worldwide. The pneumococcus commonly colonizes the nasopharynx asymptomatically as a commensal, but is also capable of causing a wide range of life-threatening diseases such as pneumonia, meningitis and septicemia upon migration into the lower respiratory tract and spread to internal organs. Emergence of antibiotic resistant strains and non-vaccine serotypes has led to the classification of pneumococcal bacteria as a priority pathogen by the World Health Organization that needs urgent research into bacterial pathogenesis and development of novel vaccine strategies.

A dossier on COVID-19 chronicle.

The dissemination of the 2019 novel coronavirus (2019-nCoV) is presenting the planet with a new health emergency response or threat to health. The virus emerged in bats and was disseminated to humans in December 2019 via still unknown intermediate species in Wuhan, China. It is disseminated by inhalation or breaks out with infected droplets and the incubation period is between 2 and 14 days.

Turmeric in the management of oral submucous fibrosis: A systematic review and meta-analysis.

Turmeric exhibits a big promise as a therapeutic agent in the management of oral submucous fibrosis (OSMF). The primary aim of our study is to synthesize the evidence of the use of turmeric/curcumin in the management of OSMF. The secondary goal of this study is to assess the limitations of previous studies to identify gaps in evidence for future research and give an evidence-based recommendation regarding the usage of turmeric/curcumin for OSMF patients and outline the direction of research.

Expression of transforming growth factor beta in oral submucous fibrosis.

Background: Oral submucous fibrosis (OSMF) is a premalignant condition mainly caused by areca nut chewing and is characterized by progressive fibrosis of submucosal tissues and epithelial atrophy. Activation of transforming growth factor beta (TGF-β) signaling is considered main causative event for increased collagen production and fibrosis. In this study, molecular pathogenesis of OSMF was investigated based on the expression of the TGF-β genes in OSMF tissues compared to normal controls.

Dig & Delve into Protein Based Nanoformulations.

Past few decades have emerged as the era of nanotechnology worldwide leading to an extensive research in pharmaceutical science as well as other fields. Nanoformulations have shown a promising future in therapeutics and theronostics. Protein based nanoformulations attracting attention in research as it can be used as therapeutics as well as carrier.