Degradation of β-lactam antibiotic ampicillin using sustainable microbial peroxide producing cell system.

The enormous use of synthetic antibiotic and personal care products has impacted the natural microbiome and ecosystem. Overtime, treatment technologies developed suffered due to incomplete removal hence, a pilot dual-chambered microbial peroxide-producing cell that degrades ampicillin catalyzed by homogenous Fenton-reaction was designed. The system reported maximum current at 16.

Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study.

Automatic computer-aided diagnosis (CAD) system has been widely used as an assisting tool for mass screening and risk assessment of infectious pulmonary diseases (PDs). However, such a system still lacks clinical acceptability and trust due to the integration gap between the patient's metadata, radiologist feedback, and the CAD system. This paper proposed three integration frameworks, namely-direct integration (DI), rule-based integration (RBI), and weight-based integration (WBI).

Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques.

River Ganga is one of the most significant rivers in the country. This river is the adobe for numerous aquatic species and microorganisms. The color of the river suddenly changed to green due to the rise of algal bloom in the Varanasi and nearby regions of the river Ganga during May-June 2021.

Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification.

Background And Objectives: Chest X-ray (CXR) is a non-invasive imaging modality used in the prognosis and management of chronic lung disorders like tuberculosis (TB), pneumonia, coronavirus disease (COVID-19), etc. The radiomic features associated with different disease manifestations assist in detection, localization, and grading the severity of infected lung regions. The majority of the existing computer-aided diagnosis (CAD) system used these features for the classification task, and only a few works have been dedicated to disease-localization and severity scoring.

iHearken: Chewing sound signal analysis based food intake recognition system using Bi-LSTM softmax network.

Background And Objective: Food ingestion is an integral part of health and wellness. Continues monitoring of different food types and observing the amount being consumed prevents gastrointestinal diseases and weight-related issues. Food intake recognition (FIR) systems, thus have significant impact on everyday life.

Modern Paradigm Towards Potential Target Identification for Antiviral (SARS-nCoV-2) and Anticancer Lipopeptides: A Pharmacophore-Based Approach.

Background: Lipopeptides are potential microbial metabolites that are abandoned with broad spectrum biopharmaceutical properties ranging from antimicrobial, antiviral and anticancer, . Clinical studies are not much explored beyond the experimental methods to understand drug mechanisms on target proteins at the molecular level for large molecules. Due to the less available studies on potential target proteins of lipopeptide based drugs, their potential inhibitory role for more obvious treatment on disease have not been explored in the direction of lead optimization.

Experimental study on fabrication, biocompatibility and mechanical characterization of polyhydroxybutyrate-ball clay bionanocomposites for bone tissue engineering.

The poly (3-hydroxybutyrate) (PHB)/ball clay nanocomposites (B1-B10) were synthesized using solvent casting method with different weight percentage of ball clay in PHB matrix. Scanning electron microscope (SEM) showed maximum root mean square roughness (188.73 μm) for 10% ball clay loading.

Bone regeneration in rat using polycaprolactone/gelatin/epinephrine scaffold.

Solid supports like the extracellular matrix network are necessary for bone cell attachment and start healing in the damaged bone. Scaffolds which are made of different materials are widely used as a supportive structure in bone tissue engineering. In the current study, a 3D polycaprolactone/gelatin bone scaffold was developed by blending electrospinning and freeze-drying techniques for bone tissue engineering.

Noble metal-free doped graphitic carbon nitride (g-CN) for efficient photodegradation of antibiotics: progress, limitations, and future directions.

Graphitic carbon nitride (g-CN) is well recognised as one of the most promising materials for photocatalytic activities such as environmental remediation via organic pollution elimination. New methods of nanoscale structure design introduce tunable electrical characteristics and broaden their use as visible light-induced photocatalysts. This paper summarises the most recent developments in the design of g-CN with element doping.

Comparative study of response surface methodology and artificial neural network for optimization of process parameters for synthesis of gold nanoparticles by extract.

Green synthesis of nanoparticles has gained attention due to its eco-friendly and sustainable approach to synthesize nanoparticles at a reduced cost. Artificial neural network (ANN) and response surface model (RSM) are important to reduce experimental efforts in nanoparticle synthesis. In this work, optimization of gold nanoparticle synthesis by extract was performed using the volume of plant extract, concentration of auric chloride, reaction time, pH, and temperature as process parameters, and the output was absorbance.

Recent Developments in Multi-component Synthesis of Lawsone Derivatives.

Background: 2-Hydroxy-1,4-Naphthoquinone (HNQ; Lawsone) is one of the most useful and the simplest naturally occurring naphthoquinones and has stimulated a resurgence of interest in the past decades due to a wide range of pharmacological activities.

Introduction And Methods: This activity has led to the unusually large emphasis being placed on the design of more efficient multi-component reactions (MCRs) in the synthesis of bioactive lawsone derivatives.

Results And Conclusion: This review highlights the recent developments in multi-component synthesis of biologically relevant naphthoquinone linked and fused heterocyclic derivatives carried out from 2015 till now.

Doped graphitic carbon nitride (g-CN) catalysts for efficient photodegradation of tetracycline antibiotics in aquatic environments.

Tetracyclines (TCs) antibiotics are very common and often used in both human and veterinary medicines. More than 75% of TCs are excreted in an active condition and released into the environment, posing a risk to the ecosystem and human health. Residual antibiotics are in global water bodies, causing antibiotic resistance and genotoxicity in humans and aquatic organisms.

In silico studies on structural inhibition of SARS-CoV-2 main protease M by major secondary metabolites of Andrographis paniculata and Cinchona officinalis.

Unlabelled: The COVID-19 infection by Novel Corona Virus (SARS-CoV-2) has become one of the largest pandemic diseases, with cumulative confirmed infections of 275,233,892 and 5,364,996 deaths to date according to World Health Organization. Due to the absence of any approved antiviral drug to treat COVID-19, its lethality is getting severe with time. The main protease of SARS-CoV-2, M is considered one of the potential drug targets because of its role in processing proteins translated from viral RNA.

Fibroblast Derived Skin Wound Healing Modeling on Chip under the Influence of Micro-Capillary Shear Stress.

Fibroblast cell migration plays a crucial role in the wound-healing process. Hence, its quantitative investigation is important to understand the mechanism of the wound-healing process. The dynamic nature of the wound-healing process can be easily implemented using a microfluidic-based wound-healing assay.

Neurocognitive functions of prosocial and unsocial incongruency information during language comprehension: evidence from time-frequency analysis of EEG signals.

This study examined neurocognitive mechanisms of prosocial and antisocial congruency in English sentences by conducting an electroencephalography experiment. Participants performed a judgment task whether prosocial and unsocial/antisocial nominal words were congruent or incongruent with the upcoming prosocial and antisocial verbal category of words in sentences (e.g.

New insights for integration of nano particle with microfluidic systems for sensor applications.

A biosensor is a compact device, which utilizes biological derived recognition component, immobilized on a transducer to analyze an analyte. Nanoparticles with their unique chemical and physical properties are versatile in their applications to develop as sensors. Different nanoparticles play different roles in the sensing systems like metal and metal oxide nanoparticles.

Qualitative and Dynamical Analysis of a Bionomic Fishery Model with Prey Refuge.

Predation and escaping from predation through hiding are two fundamental phenomena in ecology. The most common approach to reducing the chance of predation is to use a refuge. Here, we consider a three species fishery model system with prey refuge induced by a Holling type-II functional response.

Mathematical modeling of the outbreak of COVID-19.

The novel coronavirus SARS-Cov-2 is a pandemic condition and poses a massive menace to health. The governments of different countries and their various prohibitory steps to restrict the virus's expanse have changed individuals' communication processes. Due to physical and financial factors, the population's density is more likely to interact and spread the virus.

Emerging role and promise of nanomaterials in organoid research.

Organoids are 3D stem cell-derived self-organization of cells. Organoid bioengineering helps recreate and tailor their architecture in vitro to generate mini organ-like properties, providing the opportunity to study fundamental cell behavior in heterogeneous populations and as a tool to model various diseases. Nanomaterials (NMs) are becoming indispensable in regenerative medicine and in developing treatment modalities for various diseases.

One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech.

Background And Objective: Screening children for communicational disorders such as specific language impairment (SLI) is always challenging as it requires clinicians to follow a series of steps to evaluate the subjects. Artificial intelligence and computer-aided diagnosis have supported health professionals in making swift and error-free decisions about the neurodevelopmental state of children vis-à-vis language comprehension and production. Past studies have claimed that typical developing (TD) and SLI children show distinct vocal characteristics that can serve as discriminating facets between them.

Production and characterization of a novel thermostable laccase from Bacillus licheniformis VNQ and its application in synthesis of bioactive 1,4-naphthoquinones.

Bacterial laccases have proven to be a potential biocatalyst for various industrial applications due to their remarkable catalytic and stability properties. In this study, a novel thermostable laccase was produced from the bacterium Bacillus licheniformis VNQ by submerged fermentation. The specific activity of crude and purified laccase was found to be 13.

Investigating Feature Ranking Methods for Sub-Band and Relative Power Features in Motor Imagery Task Classification.

Interpreting the brain commands is now easier using brain-computer interface (BCI) technologies. Motor imagery (MI) signal detection is one of the BCI applications, where the movements of the hand and feet can be recognized via brain commands that can be further used to handle emergency situations. Design of BCI techniques encountered challenges of BCI illiteracy, poor signal to noise ratio, intersubject variability, complexity, and performance.

Augmented sequence features and subcellular localization for functional characterization of unknown protein sequences.

Advances in high-throughput techniques lead to evolving a large number of unknown protein sequences (UPS). Functional characterization of UPS is significant for the investigation of disease symptoms and drug repositioning. Protein subcellular localization is imperative for the functional characterization of protein sequences.

Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals.

Epilepsy is a neurological disorder that has severely affected many people's lives across the world. Electroencephalogram (EEG) signals are used to characterize the brain's state and detect various disorders. The EEG signals are non-stationary and non-linear in nature.

Microplastics: An overview on separation, identification and characterization of microplastics.

At present plastic residues has become grave threat to the environment. Microplastics are plastic residues with a size <5 mm, due to their small size it is very difficult to remove them from water bodies, sediments and air with available techniques. Nanoplastics are different in size range as nanoplastics are smaller than 1 μm in size.