COVID-19 VACCINE AND FEARS: A REVIEW

7.2% of Indian population has been fully vaccinated by july 27,2021. Blueprint for the development and research for vaccines was initiated by WHO. India's National COVID Vaccination Program is based on scientic and epidemiological evidences, WHO guidelines and the practices approved all over the world. Anchored in systematic end-to-end planning, it is implemented through effective and efcient contribution of States/UTs and the people at large. Government of India's commitment to the vaccination program has been unwavering and proactive. The government and DCGI along with ICMR have strengthened Research and Development capacity of Indian vaccine as well as the collaborative manufacturing of non Indian vaccines. The mission was to vaccinate as many adults safely, as fast as possible. On June 21, 2021 The Indian government declared free vaccines to the citizens. There are several myths which draws people away from getting vaccinated. Here we attempt to discuss the vaccines and the public fear to get vaccinated in Indian scenario

Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing

Blockchain technology plays a pivotal role in the undergoing fourth industrial revolution or Industry 4.0. It is considered a tremendous boost to company digitalization; thus, considerable investments in blockchain are being made. However, there is no single blockchain technology, but various solutions exist, and they cannot interoperate with one each other. The ecosystem envisioned by the Industry 4.0 does not have centralized management or leading organization, so a single blockchain solution cannot be imposed. The various organizations hold their own blockchains, which must interoperate seamlessly. Despite some solutions for blockchain interoperability being proposed, the problem is still open. This paper aims to devise a secure solution for blockchain interoperability. The proposed approach consists of a relay scheme based on Trusted Execution Environment to provide higher security guarantees than the current literature. In particular, the proposed solution adopts an off-chain secure computation element invoked by a smart contract on a blockchain to securely communicate with its peered counterpart. A prototype has been implemented and used for the performance assessment, e.g., to measure the latency increase due to cross-blockchain interactions. The achieved and reported experimental results show that the proposed security solution introduces an additional latency that is entirely tolerable for transactions. At the same time, the usage of the Trusted Execution Environment imposes a negligible overhead.

A partner selection problem for complex product of manufacturing enterprises in supply chain

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.