High-Resolution Tandem Mass Spectrometry-Based Analysis of Model Lignin-Iron Complexes: Novel Pipeline and Complex Structures.

Understanding the chemical nature of soil organic carbon (SOC) with great potential to bind iron (Fe) minerals is critical for predicting the stability of SOC. Organic ligands of Fe are among the top candidates for SOCs able to strongly sorb on Fe minerals, but most of them are still molecularly uncharacterized. To shed insights into the chemical nature of organic ligands in soil and their fate, this study developed a protocol for identifying organic ligands using ultrahigh-performance liquid chromatography-high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) and metabolomic tools.

Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.

Background: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals.

Objective: In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images.

In silico studies and development of a protein-based electrochemical sensor for selective and sensitive detection of aflatoxin B1.

Proteins from different species have been docked with aflatoxin B1 (AFB1) and identified 3 proteins (prostaglandin-E(2)9-reductase from Oryctolagus uniculus, proto-oncogene serine/threonine-protein kinase Pim-1 and human immunoglobulin G (hIgG)) as potential candidates to develop an electrochemical sensor. Fluorescence spectroscopy experiments have confirmed the interaction of hIgG with AFB1 with an affinity constant of 4.6 × 10 M.

Image Quality Assessment of Digital Radiographs Captured by Hand-Held Devices Versus Wall-Mounted Devices: A Retrospective Comparative Study.

Background In diagnostic radiology, the image quality of radiographs is paramount for impeccable diagnosis as it is essential for efficient treatment planning and patient care. In comparison to their well-established wall-mounted equivalents, the growing use of handheld devices raises concerns regarding their diagnostic effectiveness by questioning their image quality. Hence, to fully comprehend the clinical importance of handheld X-ray equipment, it is important to look into their image quality for better diagnostic performance.

Antioxidant and Anti-inflammatory Properties of the Two Varieties of Musa acuminata: An In Vitro Study.

Background Free radicals are involved in the process of carcinogenesis. Conventional antioxidants and anti-inflammatory drugs have the disadvantages of side effects and high costs. Banana peel contains phenolic and non-phenolic antioxidants that are pivotal in removing inflammatory components by inhibiting reactive oxygen species (ROS), protecting protease inhibitors from oxidative damage, and preventing fibroblast degradation which protects the body against the ill effects of free radicals.

Critical Role of Semiquinones in Reductive Dehalogenation.

Quinones and products of their redox reactions (hydroquinones and semiquinones) have been suggested as important players in the reductive dehalogenation of organohalogens mediated by natural and pyrogenic organic matter, although based on limited direct evidence. This study focused on the reductive dehalogenation of a model organohalogen (triclosan) by 1,4-benzohydroquinone (HQ). In the presence of HQ only, degradation of triclosan does not occur within the experimental period (up to 288 h); however, it takes place in the presence of HQ and FeCl under anoxic conditions at pH 5 and 7 (above the p of SQ = 4.

Immune urinary biomarkers predict infant cardiac surgery-associated acute kidney injury.

Background: Acute kidney injury (AKI) occurs frequently after infant cardiac surgery and is associated with poor outcomes, including mortality and prolonged length of stay. AKI mechanisms are poorly understood, limiting therapeutic targets. Emerging data implicates dysregulated immune activation in post-cardiac surgery AKI development.

Quantification of Quinones in Environmental Media by Chemical Tagging with Cysteine-Containing Peptides Coupled to Size Exclusionary Separation.

Quinones are one of the most important redox-reactive organic compounds in natural environments, such as soil, water, and sediment, playing an important role in regulating the environmental processes and biogeochemical cycles of critical elements under climate change, including the influences of extreme events such as wildfires. However, to date, no existing methods can quantify quinones in complex environmental media. To overcome this challenge, a quantification method was developed by coupling chemical tagging of quinones by cysteine-containing nonaromatic peptides (Cpep) through a Michael addition reaction with size exclusionary chromatography (SEC) separation and ultraviolet (UV) analysis─leveraging on the characteristic absorbance of aromatic rings at 254 nm and molecular size of peptide.

Fabrication of a bi-metallic metal organic framework nanocomposite for selective and sensitive detection of triclosan.

Transition metal-ion based nanocomposites are widely used owing to their ease of synthesis and cost-effectiveness in the sensor development. In this study, we have synthesized bi-metallic (iron and zinc) metal organic framework (MOF) nanorods-nanoparticles (denoted as FeZn-MIL-88B) with a well-defined structure and characterized them. The bimetallic material nanocomposite (FeZn-MIL-88B, nafion (Nf), and multiwalled carbon nanotube (MWCNT)) was fabricated on the electrode (glassy carbon electrode (GCE) or screen printed carbon electrode (SPCE)) surface within 10 min at room temperature.

Salivary Lactate Dehydrogenase as a Potential Biomarker in Oral Potentially Malignant Disorders and Head & Neck Cancer- A Systematic Review and Meta-analysis.

Background: The prognosis of head &neck cancer (HNC) depends on its early detection, diagnosis, and treatment, which has advocated a search for a simple, reliable, noninvasive, cost-effective tool to aid in the same. Salivary lactate dehydrogenase has gained interest in recent years, meeting the above requisite.

Objectives: To evaluate the levels of salivary lactate dehydrogenase in patients with oral potentially malignant disorders (OPMD), HNC, and in the healthy control group (CG); to find the correlation, grade-wise and genderwise difference between them; and to assess whether it can be used as a potent biomarker in OPMD and HNC.

--Eleven tips for operational researchers working with health programmes: our experience based on implementing differentiated tuberculosis care in south India.

Due to the workload and lack of a critical mass of trained operational researchers within their ranks, health systems and programmes may not be able to dedicate sufficient time to conducting operational research (OR). Hence, they may need the technical support of operational researchers from research/academic organisations. Additionally, there is a knowledge gap regarding implementing differentiated tuberculosis (TB) care in programme settings.

Effectiveness of a Visual Interactive Game on Oral Hygiene Knowledge, Practices, and Clinical Parameters among Adolescents: A Randomized Controlled Trial.

This study aimed to evaluate the effect of a novel interactive game-based visual performance technique (IGVP) and conventional oral health educational (OHE) talk on plaque control, gingival health, and oral hygiene knowledge and practices in 12−15-year-old schoolchildren. A single-blinded randomized controlled trial was undertaken in a private primary school in Belagavi, Karnataka, India. A total of 100 children aged 12−15 years were randomly assigned to either a conventional OHE talk (control group, n = 50) or the IGVP technique (test group, n = 50), using a computer-generated table of random numbers.

Retraction Note: The prediction of the lifetime of the new coronavirus in the USA using mathematical models.

[This retracts the article DOI: 10.1007/s00500-021-05643-2.].

Reliability of gender determination from paranasal sinuses and its application in forensic identification-a systematic review and meta-analysis.

This systematic review aims to determine whether linear or morphometric analysis of paranasal sinuses can be used for accurate determination of gender and to appraise which sinus can be evaluated for accurate gender determination.A comprehensive search of the specialized databases (PubMed/MEDLINE, Science Direct, Clinical Key, ProQuest, Google Scholar, Epistomonikos, LILACS, OpenGrey) and other institutional repositories was performed for including the studies which assessed paranasal sinuses for gender determination. Quality assessment was carried out with the AQUA tool.

Green chemistry principles for the synthesis of anti fungal active gum acacia-gold nanocomposite - natamycin (GA-AuNC-NT) against food spoilage fungal strain Aspergillus ochraceopealiformis and its marked Congo red dye adsorption efficacy.

In this present study, a highly stable gum acacia -gold nanocomposite fabricated with food preservative agent natamycin (GA-AuNC-NT) was prepared via green science principles under in vitro conditions. Various characterisation techniques reveal highly stable structural, functional properties of the synthesised nanocomposite with marked antifungal activity and adsorption efficacy against congo red dye. The antifungal activity was investigated against the fungal strain Aspergillus ochraceopealiformis isolated from spoiled, expired bread.

Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics.

Background: In deep learning the most significant breakthrough in the field of image recognition, object detection language processing was done by Convolutional Neural Network (CNN). Rapid growth in data and neural networks the performance of the DNN algorithms depends on the computation power and the storage capacity of the devices.

Methods: In this paper, the convolutional neural network used for various image applications was studied and its acceleration in the various platforms like CPU, GPU, TPU was done.

Association of Triglyceride-Glucose Index (TyG index) with HbA1c and Insulin Resistance in Type 2 Diabetes Mellitus.

The aim of this study was to assess the association of triglyceride-glucose (TyG) index with glycated haemoglobin (HbA1c) and insulin resistance in type 2 diabetes mellitus (T2DM). A total of 140 patients with T2DM were included in this cross-sectional study and divided into two groups according to their HbA1c levels: participants with HbA1c <7.0% (n=75) and those with HbA1c >7.

Hydrothermal Synthesis of KTiO Nanotubes/Nanoparticles: A Photodegradation Study on Methylene Blue and Rhodamine B Dyes.

The degradation of methylene blue and rhodamine B dyes using potassium hexatitanate nanoparticles (KTNPs) and potassium hexatitanate nanotubes (KTNTs) synthesized via a hydrothermal method as efficient photocatalysts under UV light irradiation was investigated. The kinetics of degradation was determined for the two different catalysts--KTNPs and KTNTs--by monitoring the optical absorption of the dyes. The as-synthesized KTNPs were found to be spherical in shape with an average particle size of ∼36 ± 1.