Comprehensive In-Patient Neuro-rehabilitation: Harnessing Yoga's Potential - A Pilot Study in Germany.

Background: Neurological diseases require rehabilitation due to the disabling effects they induce, yet cost and therapist availability make long-term therapy difficult. However, innovative, cost-effective strategies that cater to patients' physical and mental requirements are vital to address this gap in care. Incorporating Yoga into in-patient neuro-rehabilitation holds promise as a complementary approach to enhance physical and mental recovery for individuals in a German neurological rehabilitation hospital.

Assessing the antioxidant properties of Naringin and Rutin and investigating their oxidative DNA damage effects in breast cancer.

This work examines the capacity of Naringin and Rutin to influence the DNA damage response (DDR) pathway by investigating their interactions with key DDR proteins, including PARP-1, ATM, ATR, CHK1, and WEE1. Through a combination of in silico molecular docking and in vitro evaluations, we investigated the cytotoxic and genotoxic effects of these compounds on MDA-MB-231 cells, comparing them to normal human fibroblast cells (2DD) and quiescent fibroblast cells (QFC). The research found that Naringin and Rutin had strong affinities for DDR pathway proteins, indicating their capacity to specifically regulate DDR pathways in cancer cells.

Catharanthus roseus-assisted bio-fabricated zinc oxide nanoparticles for promising antibacterial potential against Klebsiella pneumoniae.

This study emphasized on the synthesis of zinc oxide nanoparticles (ZnO NPs) in an environmentally friendly manner from the extract of Catharanthus roseus leaves and its antibacterial assessment against the pneumonia-causing pathogen Klebsiella pneumoniae. This simple and convenient phytosynthesis approach is found to be beneficial over conventional methods, wherein plants serve as excellent reducing, capping, and stabilizing agents that enables the formation of ZnO NPs without the use of harmful chemicals. The formation of ZnO NPs was confirmed through several characterization techniques such as UV-visible spectroscopy, XRD, FT-IR, SEM, HR-TEM, and EDX.

Multi-source transfer learning for facial emotion recognition using multivariate correlation analysis.

Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns. In this paper, we present a novel approach for addressing the FER problem using multi-source transfer learning.

Efficient Skip Connections-Based Residual Network (ESRNet) for Brain Tumor Classification.

Brain tumors pose a complex and urgent challenge in medical diagnostics, requiring precise and timely classification due to their diverse characteristics and potentially life-threatening consequences. While existing deep learning (DL)-based brain tumor classification (BTC) models have shown significant progress, they encounter limitations like restricted depth, vanishing gradient issues, and difficulties in capturing intricate features. To address these challenges, this paper proposes an efficient skip connections-based residual network (ESRNet).