The Intelligent sales management system in Metaverse is the concept of performing sales operations, using smart contracts, machine learning, Intelligent process automation and direct monitoring of all network members in Metaverse. The aim of the current research is to provide a model of Intelligent sales management system in Metavers. In the qualitative research, the statistical population includes experts in the fields of business management and information management, and the sample size was calculated and carried out according to the theoretical saturation point of 14 people using the snowball sampling method. Data collection was done through semi-structured interviews with experts and analysis. Data were collected using open, central and selective coding method. The findings obtained in the qualitative research showed 112 codes, 29 concepts and 9 categories, which led to the presentation of an Intelligent sales management system model in Metaverse. This research led to the presentation of a new model of Intelligent sales management system.

 The need for blood and the blood donors are on the rise continuously. Poor communication between blood banks and hospitals results in improper management and wastage of available blood inventory and can cause life threats. Therefore, there is an urgent need for coordination between blood banks, hospitals, and blood donors. The Design of a Secure Intelligent Blood Bank Information system (SIBBIS) is a way to align blood banks and hospitals with the help of the Internet. SIBBIS is a web application through which registered hospitals can check the availability of required blood, send a request for blood to the nearest blood bank or donor that matches the blood requirements, and order blood online as requested. A blood bank can also send a request to another blood bank in case of unavailable blood. The person willing to donate blood can find the nearest blood banks using SIBBIS. The location of the blood bank can be traced using maps. The life of the hardware, software, refrigerator cleaning of refrigerator and vaccination of employees are monitored Intelligently. For this system, we developed a standard process-oriented information system analysis methodology using use case, activity, system sequence, entity relationship, and class diagrams. The usability of the developed system was evaluated, and it was 93.39%.

Traffic congestion worldwide has led to loss of human lives due to failure in transporting accident victims, critical patients, medical, equipments and medicines on time. With the unending growth in vehicular traffic everywhere, the fusion of Internet of Things (IoT) and Vehicular Ad Hoc Network (VANET) has embarked as a promising platform for an Intelligent Traffic management system (ITMS). In the literature, researchers have suggested various solutions, but without taking into consideration how to prioritize emergency vehicles when traffic system is collapsed due to hacking. This paper proposes a novel Intelligent traffic management system for a smart city after considering the research gaps which are yet to be explored in the current scenario. Our proposed solution, not only navigates ambulances to find the shortest possible paths till their destination, but also presents a counter measure to get rid the problem of the traffic light system when it is hacked during its operation. To show the advantages of our proposed solution over already proposed solutions, a simulated environment (CupCarbon simulator) is used to model various scenarios which shows the actual roads and vehicle movements in the implementation. The observed results exhibit the superiority of our proposed solution over state-of-the-art solutions.

Background: We aimed to apply the Intelligent pressure ulcer information management system software to hospitalized patients with pressure ulcer and to evaluate its application effect. Method: Fifty patients hospitalized in the Third Xiangya Hospital of Central South University, Changsha, China, a grade-A tertiary hospital from March 2021 to May 2021 were grouped into the control group. For these subjects, conventional electronic forms were used to report and manage pressure ulcer information. Another 50 patients with pressure ulcer were selected as the experimental group who were hospitalized the same hospital from June 2021 to August 2021. They were managed with Intelligent Pressure Ulcer Information management system Software. Results: The effects of the two management methods were assessed by comparing the reporting time, the degree of pressure ulcer healing 1 week after the occurrence of pressure ulcer and after discharge, and the nurse satisfaction. The reporting time and Design-R scores 1 week after the occurrence of pressure ulcer and after discharge were significantly lower than those of the control group (P<0. 05). Conclusion: The pressure ulcer information management system makes the reporting process simple and convenient, which saves the reporting time, improves the accuracy of the pressure ulcer staging. It achieved the guidance for various stages of pressure ulcer treatment program, the use of dressing guidance, improved the accuracy of pressure ulcer treatment program, which is worthy of clinical reference.