Call For Papers

Higher Education in Soviet Successor States: Are we Post Post-Soviet? With the introduction of private institutions, tuition fees, two- and three-cycle models, program-level based institutional classifications, unified national admission tests, international providers, excellence initiatives and comparison tables, and the removal of subordination to ministries have been combined to various degrees ... read more

In recent years, traditional cancer treatments, such as surgery, chemotherapy, and radiation treatment, etc., may damage the pathological tissue and normal cells. The ideal tumor treatment should be noninvasive, eliminating the primary tumor, making the body produce systemic tumor-specific immunity, eliminating metastases, and having less /no side effects. Recent Patents ... read more

Targeted therapeutic medications have replaced conventional chemotherapy due to their superior effectiveness and safety. In the years following the 2001 FDA approval of the first tyrosine kinase inhibitor, imatinib, for use in the treatment of cancer, a growing number of small-molecule targeted medicines have been created. 89 small-molecule targeted anticancer ... read more

The major topic is the functionalization of heterocycles through catalyzed C-H bond activation. The strategies based on C-H activation not only provide straightforward formation of C-C or C-X bonds but, more importantly, allow for the avoidance of pre-functionalization of one or two of the cross-coupling partners. The beneficial impact of ... read more

Green tools to produce biomaterials from agroindustrial wastes represent a promising and sustainable approach to address both environmental and resource challenges. These innovative techniques leverage agroindustrial byproducts, such as crop residues and food processing waste, to produce valuable biomaterials, including bioplastics, biofuels, and biochemicals. By utilizing eco-friendly and renewable resources, ... read more

This research area combines theoretical computation and screening with machine learning for the design of covalent/metal organic framework-based catalysts, bridging the disciplines of organic chemistry, physical chemistry, computational chemistry, materials science, and machine learning. It covers several critical aspects: designing and synthesizing organic catalysts for improved performance, applying computational methods ... read more

The process of producing a drug is time-consuming and expensive, but it is also intriguing. The advancement of several computational tools, synthetic methodologies, formulation-based drug discovery, and other techniques has aided in the drug discovery process. The development of new medications is impeded greatly by drug pharmacodynamics and pharmacokinetic issues. ... read more

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To save our loving ‘Mother Nature’ from the ever increasing chemical pollution scientists are continuously modifying their chemical processes to make them sustainable. As a result, last decade has shown a tremendous outburst in modifying organic transformations by following green credentials. On the other hand heterocyclic scaffolds are very important ... read more

Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ... read more

Cancer is one of the serious diseases endangering human health and apart from the human costs, it has brought a heavy burden to the world’s economic development. The incidence of cancer is relatively high due to an increased awareness in health of the population coupled with new technologies for its ... read more

Currently, the Internet of Things (IoT) is gaining more attention in various sectors like smart cities, healthcare, agriculture, Industry 4.0, and smart grid environments. Nowadays healthcare industries got more popular due to IoT-based technological trends such as remote healthcare monitoring, elderly care rehabilitation monitoring, ambient assisted living, automated disease prediction, ... read more