Application of A ^∗ to the Generalized Constrained Longest Common Subsequence Problem with Many Pattern Strings

This paper considers the constrained longest common subsequence problem with an arbitrary set of input strings and an arbitrary set of pattern strings as input. The problem has applications, for example, in computational biology, serving as a measure of similarity among different molecules that are characterized by common putative structures. We develop an exact A ∗ search to solve it. Our A ∗ search is compared to the only existing competitor from the literature, an Automaton approach. The results show that A ∗ is very efficient for real-world benchmarks, finding provenly optimal solutions in run times that are an order of magnitude lower than the ones of the competitor. Even some of the large-scale real-world instances were solved to optimality by A ∗ search.Peer reviewe

Acute Coronary Syndrome in the COVID-19 Era—Differences and Dilemmas Compared to the Pre-COVID-19 Era

The COVID-19 pandemic has led to numerous negative implications for all aspects of society. Although COVID-19 is a predominant lung disease, in 10–30% of cases, it is associated with cardiovascular disease (CVD). The presence of myocardial injury in COVID-19 patients occurs with a frequency between 7–36%. There is growing evidence of the incidence of acute coronary syndrome (ACS) in COVID-19, both due to coronary artery thrombosis and insufficient oxygen supply to the myocardium in conditions of an increased need. The diagnosis and treatment of patients with COVID-19 and acute myocardial infarction (AMI) is a major challenge for physicians. Often the presence of mixed symptoms, due to the combined presence of COVID-19 and ACS, as well as possible other diseases, nonspecific changes in the electrocardiogram (ECG), and often elevated serum troponin (cTn), create dilemmas in diagnosing ACS in COVID-19. Given the often-high ischemic risk, as well as the risk of bleeding, in these patients and analyzing the benefit/risk ratio, the treatment of patients with AMI and COVID-19 is often associated with dilemmas and difficult decisions. Due to delays in the application of the therapeutic regimen, complications of AMI are more common, and the mortality rate is higher

Use of Anticoagulant Therapy in Patients with Acute Myocardial Infarction and Atrial Fibrillation

The incidence of atrial fibrillation (AF) in acute coronary syndrome (ACS) ranges from 2.3–23%. This difference in the incidence of AF is explained by the different ages of the patients in different studies and the different times of application of both reperfusion and drug therapies in acute myocardial infarction (AMI). About 6–8% of patients who underwent percutaneous intervention within AMI have an indication for oral anticoagulant therapy with vitamin K antagonists or new oral anticoagulants (NOAC).The use of oral anticoagulant therapy should be consistent with individual risk of bleeding as well as ischemic risk. Both HAS-BLED and CHA2DS2VASc scores are most commonly used for risk assessment. Except in patients with mechanical valves and antiphospholipid syndrome, NOACs have an advantage over vitamin K antagonists (VKAs). One of the advantages of NOACs is the use of fixed doses, where there is no need for successive INR controls, which increases the patient’s compliance in taking these drugs. The use of triple therapy in ACS is indicated in the case of patients with AF, mechanical valves as well as venous thromboembolism. The results of the studies showed that when choosing a P2Y12 receptor blocker, less potent P2Y12 blockers such as Clopidogrel should be chosen, due to the lower risk of bleeding. It has been proven that the presence of AF within AMI is associated with a higher degree of reinfarction, more frequent stroke, high incidence of heart failure, and there is a correlation with an increased risk of sudden cardiac death. With the appearance of AF in ACS, its rapid conversion into sinus rhythm is necessary, and in the last resort, good control of heart rate in order to avoid the occurrence of adverse clinical events