Moth-Flame Optimization for Early Prediction of Heart Diseases.

Heart disease is among the leading causes of mortality globally. Predicting cardiovascular disease is a major difficulty in clinical data analysis. AI has been demonstrated to be powerful in deciding and anticipating an enormous measure of information created by the health domain.

Prediction of the Age and Gender Based on Human Face Images Based on Deep Learning Algorithm.

In recent times, nutrition recommendation system has gained increasing attention due to their need for healthy living. Current studies on the food domain deal with a recommendation system that focuses on independent users and their health problems but lack nutritional advice to individual users. The proposed system is developed to suggest nutritional food to people based on age and gender predicted from their face image.

Theoretical studies on donor-acceptor based macrocycles for organic solar cell applications.

We have designed a series of new conjugated donor-acceptor-based macrocyclic molecules using state-of-the-art computational methods. An alternating array of donors and acceptor moieties in these macrocycle molecules are considered to tune the electronic and optical properties. The geometrical, electronic, and optical properties of newly designed macrocyclic molecules are fully explored using various DFT methods.

Engineering colloidally stable, highly fluorescent and nontoxic Cu nanoclusters reaction parameter optimization.

Metal nanoclusters (NCs) composed of the least number of atoms (a few to tens) have become very attractive for their emerging properties owing to their ultrasmall size. Preparing copper nanoclusters (Cu NCs) in an aqueous medium with high emission properties, strong colloidal stability, and low toxicity has been a long-standing challenge. Although Cu NCs are earth-abundant and inexpensive, they have been comparatively less explored due to their various limitations, such as ease of surface oxidation, poor colloidal stability, and high toxicity.

Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu-A Case Study.

This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials.

Bidentate Schiff Base Ligands Appended Metal(II) Complexes as Probes of DNA and Plasma Protein: In Silico Molecular Modelling Studies.

HL1 and HL2 (HL1 = 5-diethylamino-2-({[4-(diethylamino)phenyl]imino}methyl)-phenol; HL2 = 5-diethylamino-2-({[4-(dimethylamino)phenyl]imino}methyl)-phenol) are new Schiff base ligands which were prepared along with their metal(II) complexes of [Cu(L1)] (1), [Cu(L1)] (2), [Ni(L2)] (3) and [Ni(L2)] (4) and characterized by different analytical as well as spectroscopic analyses. The single crystal XRD analysis confirms the proposed structure of ligands such as HL1 and HL2. EPR spectral analysis gives evidence about the tetrahedrally coordinated geometry of complexes 1 and 2.

Primary Squamous Cell Carcinoma of Thyroid - A Rare Malignant Goitre.

Primary squamous cell carcinoma of thyroid is a very rare malignant disease because thyroid gland lacks squamous cells. The disease is almost fatal. Only around 60 cases have been reported in literature.

A giant vagal schwannoma with unusual extension from skull base to the mediastinum.

Cervical vagal schwannoma is an extremely rare neoplasm. Middle aged people are usually affected. These tumors usually present as asymptomatic masses.

Simultaneous delivery of doxorubicin and curcumin encapsulated in liposomes of pegylated RGDK-lipopeptide to tumor vasculature.

Curcumin, because of its distinguishing ability to inhibit activation of transcription factor linked to chemoresistance and drug transporters, is now being co-administered with various potent anti-cancer drugs. In the present study, we report on such potentiating capabilities of curcumin in anti-angiogenic cancer therapy. With a view to simultaneously deliver curcumin and doxorubicin to tumor vasculature in anti-angiogenic cancer therapy, herein we report on the design & synthesis of a tumor vasculature targeting pegylated RGDK-lipopeptide.