Probabilistic data structures are so popular in membership queries, network applications, and databases and so on. Bloom Filter and Cuckoo Filter are two popular space efficient models that incorporate in set membership checking part of many important protocols. They are compact representations of data that use hash functions to randomize a set of items. Being able to store more elements while keeping a reasonable false positive probability is a key factor of design. A new algorithm is proposed to improve some of the performance properties of Cuckoo Filter such as false positive rate and insertion performance and solve some drawbacks of the Cuckoo algorithm such as endless loop. Main characteristic of the Bloom Filter is used to improve Cuckoo Filter, so we have a smart Cuckoo Filter which is modified by Bloom Filter so called as SCFMBF. SCFMBF uses the same table of buckets as Cuckoo Filter but instead of storing constant Fingerprints, it stores Bloom Filters. Bloom Filters can be accumulated in the table’ s buckets which leads to higher insertion feasibility. We also address the endless loop problem of Cuckoo Filter that means an inserted item is stuck in an iterative process of finding an empty bucket, so a smart algorithm is designed which not only solves endless loop problems but also prevents insertion failure. Hence our smart algorithm prevents double checking of a bucket and avoids making loops. Consequently, the capacity of SCFMBF is improved significantly. Results of comparison with Cuckoo Filter shows that false positive probability of SCFMBF method is enhanced compared to Cuckoo Filter.

Terrorism is the illegal use of power and violence against individuals or society to intimidate or force governments. The occurrence of such incidents is not far from expected, as these incidents have been increasing in recent decades in Iran. On Sunday, August 13, 2023, at 19:30, a terrorist attack was carried out by two terrorists in Shahcheragh shrine (one of the holy and religious places in Shiraz city) in Iran. The main terrorist entered the courtyard from one of the main doors and started shooting with a gun. During this incident, 2 people were killed and 7 people were injured. A few minutes later, the armed person was arrested by the police and the second person ran away. The terrorist group of the Islamic State of Iraq and the Levant (ISIS) took responsibility for this terrorist attack by declaring a statement. This review was written with the aim of investigating why lessons were not learned from previous incidents, especially the Shahcheragh terrorist incident that happened in 2022, and this incident was repeated again.

Following the broad spread of SARS-CoV-2 in Wuhan City from December 2019, the World Health Organization (WHO) declared the novel coronavirus disease (COVID-19) a public health emergency of international concern; by 11 March 2020, the COVID-19 outbreak was declared a global pandemic (1, 2). Until now, no specifi c therapies have yet been developed to prevent or reduce the risk of developing complications and organ dysfunction of COVID-19 (3). Therefore, early and accurate identifi cation of patients at higher risk of developing severe disease is so crucial (4) both as part of guidance for clinical treatment and resource allocation as well as to highlight the likely groups benefi ting from novel disease-modifying therapies...

For many years, emergency care had been abandoned and left in the hands of practitioners whose main interest was not working in the not-so-much respected "emergency room (ER) ". They were usually obliged to serve the first years of their career in the ER, where senior colleagues did not want to be bothered with, before they were allowed to focus on their ultimate goals. This fact had led to delivery of a fragmented, suboptimal care to the patients who were seeking care for the most urgent threats to their health…