Dr. Hari Singh Gour University

About: Dr. Hari Singh Gour University is a education organization based out in Saugor, Madhya Pradesh, India. It is known for research contribution in the topics: Drug delivery & Computer science. The organization has 1120 authors who have published 1315 publications receiving 29511 citations. The organization is also known as: Dr Harisingh Gour Vishwavidyalaya & Sagar University.

Structuring polymers for delivery of DNA-based therapeutics: updated insights.

Abstract: Gene therapy offers greater opportunities for treating numerous incurable diseases from genetic disorders, infections, and cancer. However, development of appropriate delivery systems could be one of the most important factors to overcome numerous biological barriers for delivery of various therapeutic molecules. A number of nonviral polymer-mediated vectors have been developed for DNA delivery and offer the potential to surmount the associated problems of their viral counterpart. To address the concerns associated with safety issues, a wide range of polymeric vectors are available and have been utilized successfully to deliver their therapeutics in vivo. Today's research is mainly focused on the various natural or synthetic polymer-based delivery carriers that protect the DNA molecule from degradation, which offer specific targeting to the desired cells after systemic administration, have transfection efficiencies equivalent to virus-mediated gene delivery, and have long-term gene expression through sustained-release mechanisms. This review explores an updated overview of different nonviral polymeric delivery system for delivery of DNA-based therapeutics. These polymeric carriers have been evaluated in vitro and in vivo and are being utilized in various stages of clinical evaluation. Continued research and understanding of the principles of polymer-based gene delivery systems will enable us to develop new and efficient delivery systems for the delivery of DNA-based therapeutics to achieve the goal of efficacious and specific gene therapy for a vast array of clinical disorders as the therapeutic solutions of tomorrow.

Cross Media Feature Retrieval and Optimization: A Contemporary Review of Research Scope, Challenges and Objectives

Abstract: Predictive analytics that learns from cross-media is one among the significant research objectives of the contemporary data science strategies. The cross-media information retrieval that often denotes as cross-media feature retrieval and optimization is the crucial and at its infant stage. The traditional approaches of predicative analytics are portrayed in the context of unidimensional media such as text, image, or signal. In addition, the ensemble learning strategies are the alternative, if the given learning corpus is of the multidimensional media (which is the combination of two or more of test, image, video, and signal). However, the contributions those correlates the information of divergent dimensions of the given learning corpus is still remaining in the nascent stage, where it is termed as cross media feature retrieval and optimization. This manuscript is intended to brief the recent escalations and future research scope in regard to cross-media feature retrieval and optimization. In regard to this, a contemporary review of the recent contributions has been portrayed in this manuscript.

Enhanced thermoelectric power factor in wet chemical synthesized Sb2Te3 by the incorporation of (GO/r-GO)

Abstract: Present work deals with the thermoelectric transport properties of bare and (GO/r-GO) composites of Sb2Te3 synthesized via simple wet chemical method at the temperature of 100 °C. The presence of (GO/r-GO) in the as synthesized samples has been confirmed by Raman spectra, FE-SEM (NOVA NANOSEM 450) images and reduction in the intensity of XRD (Advanced D8 Bruker) diffraction peaks of the composites. Due to the addition of (GO/r-GO), power factor increased with the maximum value of 2.14 μW/cmK2 and 2.48 μW/cmK2 at 50 °C for Sb2Te3@GO and Sb2Te3@r-GO respectively. The results show that the maximum power factor of the Sb2Te3@r-GO composite is about 35% higher than the bare Sb2Te3. This study provides the simple and effective method for the synthesis of graphene based composite thermoelectric materials and is a promising means of achieving synergistic enhancement of the thermoelectric performance levels by increasing the power factor.