Venous Blood Gas (VBG) Analysis Is as Safe and Equally Reliable as Arterial Blood Gas (ABG) Analysis in the Determination of Prognosis in Chronic Liver Disease Patients: A Study Conducted in a Tertiary Care Hospital in Uttar Pradesh, India.

Introduction Chronic liver disease (CLD) frequently causes systemic complications, including acid-base disturbances, significantly influencing patient prognosis. Arterial blood gas (ABG) analysis is traditionally utilized to monitor these disturbances, but presents procedural risks, especially in patients with coagulopathies, which is a well-known complication of chronic liver disease (CLD). Venous blood gas (VBG) analysis has emerged as a safer alternative, yet its prognostic significance in CLD requires further investigation.

Chemical Profiling and Quality Assessment of Food Products Employing Magnetic Resonance Technologies.

Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) are powerful techniques that have been employed to analyze foodstuffs comprehensively. These techniques offer in-depth information about the chemical composition, structure, and spatial distribution of components in a variety of food products. Quantitative NMR is widely applied for precise quantification of metabolites, authentication of food products, and monitoring of food quality.

Pharmacometabolomics: An emerging platform for understanding the pathophysiological processes and therapeutic interventions.

Pharmacometabolomics has emerged as a new subclass of metabolomics, aiming to predict an individual's response to a drug or optimize therapy based on prior information on an individual's metabolic profile. Pharmacometabolomics is being explored in drug discovery, biomarker identification, disease diagnosis, monitoring of disease progression, and therapeutic intervention. The time points-based sample collection is essential to measure the response of individuals to pathophysiological processes and therapeutic interventions.

Inference for depending competing risks from Marshall-Olikin bivariate Kies distribution under generalized progressive hybrid censoring.

This paper explores inferences for a competing risk model with dependent causes of failure. When the lifetimes of competing risks are modelled by a Marshall-Olikin bivariate Kies distribution, classical and Bayesian estimations are studied under generalized progressive hybrid censoring. The existence and uniqueness results for maximum likelihood estimators of unknown parameters are established, whereas approximate confidence intervals are constructed using the observed Fisher information matrix.

Feasibility of the 3D printer to design an intracavitary applicator for the treatment of cervical cancer patients with high dose rate brachytherapy system.

Designing an intracavitary brachytherapy applicator with a 3D printer using Polyamide12 for Tandem-Ovoid configuration. Further, to evaluate its feasibility and initial clinical use for the treatment of cervical cancer patients with a High Dose Rate (HDR) brachytherapy system. SolidWorks, Computer Aided design software was used for the design of the intracavitary brachytherapy applicator.

Evaluation of the Cerebrospinal Fluid (CSF)-Truenat Assay: A Novel Chip-Based Test in the Diagnosis and Management of Tubercular Meningitis at a Tertiary Care Hospital.

Introduction: Tuberculosis (TB) continues to be a major health concern that has a significant impact on morbidity and mortality worldwide. Tubercular meningitis (TBM) may be fatal due to its severe neurological outcomes if not diagnosed and treated promptly. The newer molecular diagnostic techniques have brought significant advancements in the detection of (MTB).

Recent developments on 2D-materials for gas sensing application.

The industrialization has severely impacted the ecosystem because of intensive use of chemicals and gases, causing the undesired outcomes such as hazardous gases, e.g. carbon monoxide (CO), nitrous oxide (NO), ammonia (NH), hydrogen (H), hydrogen sulfide (HS) and even volatile organic compounds.

Investigating CuO-ZrO Mixed Metal Oxide Nanocomposites for Electrochemical Sensing of Food Colors.

A fast and highly sensitive electrochemical sensor (ECS) is crucially desirable for observing synthetic dyes in foodstuffs, as excessive consumption of these colorants can pose risks to human health, including toxicity and pathogenicity. This research introduces the creation of an ECS comprising a CuO-ZrO nanocomposite for detecting Sunset Yellow (SY) dye in beverage and food items. The synthesized CuO-ZrO material underwent thorough characterization using various physicochemical and electroanalytical methods.

Building Confidence in Physiologically Based Pharmacokinetic Modeling of CYP3A Induction Mediated by Rifampin: An Industry Perspective.

Physiologically-based pharmacokinetic (PBPK) modeling offers a viable approach to predict induction drug-drug interactions (DDIs) with the potential to streamline or reduce clinical trial burden if predictions can be made with sufficient confidence. In the current work, the ability to predict the effect of rifampin, a well-characterized strong CYP3A4 inducer, on 20 CYP3A probes with publicly available PBPK models (often developed using a workflow with optimization following a strong inhibitor DDI study to gain confidence in fraction metabolized by CYP3A4, f, and fraction available after intestinal metabolism, Fg), was assessed. Substrates with a range of f (0.

An insight into impact of nanomaterials toxicity on human health.

In recent years, advances in nanotechnology have significantly influenced electronics manufacturing, industrial processes, and medical research. Various industries have seen a surge in the use of nanomaterials. However, several researchers have raised the alarm about the toxicological nature of nanomaterials, which appear to be quite different from their crude forms.

Impact of Light on Coexistence of Memresistance, Meminductance, and Memcapacitance (MEMRIC) in Nanostructured Copper Oxide (CuO) Based Random Access Memory Devices.

We demonstrated the coexistence of memresistance, memcapacitance, and meminductance non-volatile bipolar analog resistive switching in Cu (top electrode)/CuO (active layer)/SS (bottom electrode) memory devices with and without presence of the light. The onset of memcapacitance and meminductance is noticed from the pinched-shaped characteristics in the first and third quadrants. The variation in the scan rate also impacts the coexistence characteristics by shifting the intercept point for low resistance (LRS) and high resistance (HRS) states in positive and negative biasing voltages.

Recent Advances in Pathophysiology and Therapeutic Approaches in Epilepsy.

Epilepsy is a severe neurological disorder involving spontaneous and recurrent seizures, affecting a large number of people worldwide [...

Berberine Attenuates Acetamiprid Exposure-Induced Mitochondrial Dysfunction and Apoptosis in Rats via Regulating the Antioxidant Defense System.

Acetamiprid (ACMP) is a neonicotinoid insecticide that poses a significant threat to the environment and mankind. Oxidative stress and mitochondrial dysfunction are considered prime contributors to ACMP-induced toxic effects. Meanwhile, berberine (BBR) a natural plant alkaloid, is a topic of interest because of its therapeutic and prophylactic actions.

Comparative analysis of HEC-HMS and SWAT hydrological models for simulating the streamflow in sub-humid tropical region in India.

Assessment of water availability in sub-humid regions is important due to distinct climatic and environmental conditions. In this study, Soil and Water Assessment Tool (SWAT) and Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) models have been assessed in simulating streamflows in the sub-humid tropical Kabini basin in Kerala, India, spanning 1260 km. Calibration and validation utilized daily weather data from 1997 to 2015 from the Muthankera gauging station.

Combating anoikis resistance: bioactive compounds transforming prostate cancer therapy.

The study aims to discuss the challenges associated with treating prostate cancer (PCa), which is known for its complexity and drug resistance. It attempts to find differentially expressed genes (DEGs), such as those linked to anoikis resistance and circulating tumor cells, in PCa samples. This study involves analyzing the functional roles of these DEGs using gene enrichment analysis, and then screening of 102 bioactive compounds to identify a combination that can control the expression of the identified DEGs.

Autophagy: a necessary evil in cancer and inflammation.

Autophagy, a highly regulated cellular process, assumes a dual role in the context of cancer. On the one hand, it functions as a crucial homeostatic pathway, responsible for degrading malfunctioning molecules and organelles, thereby maintaining cellular health. On the other hand, its involvement in cancer development and regression is multifaceted, contingent upon a myriad of factors.

Natural Compound Dioscin Targeting Multiple Cancer Pathways through its High Affinity Binding to B Cell Lymphoma-2.

Objectives: The study aimed to explore the crucial genes involved in cancer-related biological processes, including EMT, autophagy, apoptosis, anoikis, and metastasis. It also sought to identify common genes among the pathways linked to these biological processes, determine the level of Bcl-2 expression in various types of cancers, and find a potent inhibitor of Bcl-2 among natural compounds.

Methods: Common genes involved in the pathways related to EMT, autophagy, apoptosis, anoikis, and metastasis were explored, and the level of the most frequently overexpressed gene that was Bcl-2, in various types of cancers was analyzed by gene expression analysis.

Multiple ocean parameter-based potential fishing zone (PFZ) location generation and validation in the Western Bay of Bengal.

A new conceptual framework based on satellite data, including chlorophyll (CHL), sea surface temperature (SST) fronts, relative winds, current vectors, Ekman transport, and eddies, has been developed to identify potential fishing zones (PFZ) in the Bay of Bengal (BoB). The framework aims to provide persistent forecasts, even under cloudy conditions, based on feature propagation. The validation of the PFZ was carried out using fish catch data collected by the Fishery Survey of India (FSI) between 2016 and 2018.

Design and analysis of a photonic crystal nanocavity based bio-sensor for blood component detection.

A design of a photonic crystal nanocavity based bio-sensor having a footprint of 12×8µ is proposed to detect different blood components. A finite difference time domain (FDTD) numerical technique has been used to characterize the sensor by evaluating its frequency response. The shift in resonant wavelength of the proposed cavity is utilized to detect blood refractive index fluctuation due to the presence of various components.

Sulfur-doped graphitic carbon nitride: Tailored nanostructures for photocatalytic, sensing, and energy storage applications.

Rapid globalization and industrialization have led to widespread pollution and energy crises, necessitating the development of innovative solutions. Metal-free g-CN-based polymeric materials have unique properties but face limitations such as low surface area and inefficient light absorption. Doping, especially sulfur doping, is a prevalent technique to enhance their optical and electronic properties.

"Cholinergic side Effect-Free anticancer drugs: paving the way for safer and more effective cancer treatment".

Cancer is a leading cause of mortality worldwide, and various anticancer medications have been developed that target different biological pathways involved in cancer growth and progression. Topoisomerase 1 (Top1) is an essential enzyme involved in unwinding supercoiled DNA, and it serves as a key target for several anti-cancer drugs. Irinotecan (FDA approved drug), a semi-synthetic camptothecin derivative, is an effective Top1 toxin that eliminates human cancer cells.

Health risk assessment of aerosol particles (PM and PM) during winter crop at the agricultural site of Delhi, India.

For the last few decades, air pollution in developing country like India is increasing, and it is a matter of huge concern due to its associated human health impacts. In this region, the burgeoning population, escalating urbanization and industrialization, has been cited as the major reason for such a high air pollution. The present study was carried out for health risk assessment of aerosol particles (PM and PM) and its associated heavy metals of an agriculture farm site at Indian Agricultural Research Institute (IARI) considered to be green urban area in Delhi, India.