Jimenezwebster4807

Introduction Riboswitches are short regulatory elements generally found in the untranslated regions of prokaryotes' mRNAs and classified into several families. Due to the binding possibility between riboswitches and antibiotics, their usage as engineered regulatory elements and also their evolutionary contribution, the need for bioinformatics tools of riboswitch detection is increasing. We have previously introduced an alignment independent algorithm for the identification of frequent sequential blocks in the families of riboswitches. Herein, we report the application of block location-based feature extraction strategy (BLBFE), which uses the locations of detected blocks on riboswitch sequences as features for classification of seed sequences. Besides, mono- and dinucleotide frequencies, k-mer, DAC, DCC, DACC, PC-PseDNC-General and SC-PseDNC-General methods as some feature extraction strategies were investigated. Methods The classifiers of the Decision tree, KNN, LDA, and Naïve Bayes, as well as k-fold cross-validation, were employed for all methods of feature extraction to compare their performances based on the criteria of accuracy, sensitivity, specificity, and f-score performance measures. find more Results The outcome of the study showed that the BLBFE strategy classified the riboswitches indicating 87.65% average correct classification rate (CCR). Moreover, the performance of the proposed feature extraction method was confirmed with average values of 94.31%, 85.01%, 95.45% and 85.38% for accuracy, sensitivity, specificity, and f-score, respectively. Conclusion Our result approved the performance of the BLBFE strategy in the classification and discrimination of the riboswitch groups showing remarkable higher values of CCR, accuracy, sensitivity, specificity and f-score relative to previously studied feature extraction methods.Introduction In recent decades, the growing rate of cancer incidence is a big concern for most societies. Due to the genetic origins of cancer disease, its internal structure is necessary for the study of this disease. Methods In this research, cancer data are analyzed based on DNA sequences. The transition probability of occurring two pairs of nucleotides in DNA sequences has Markovian property. This property inspires the idea of feature dimension reduction of DNA sequence for overcoming the high computational overhead of genes analysis. This idea is utilized in this research based on the Markovian property of DNA sequences. This mapping decreases feature dimensions and conserves basic properties for discrimination of cancerous and non-cancerous genes. Results The results showed that a non-linear support vector machine (SVM) classifier with RBF and polynomial kernel functions can discriminate selected cancerous samples from non-cancerous ones. Experimental results based on the 10-fold cross-validation and accuracy metrics verified that the proposed method has low computational overhead and high accuracy. Conclusion The proposed algorithm was successfully tested on related research case studies. In general, a combination of proposed Markovian-based feature reduction and non-linear SVM classifier can be considered as one of the best methods for discrimination of cancerous and non-cancerous genes.Although thrombolytic agents have been used for several decades in the treatment of thromboembolic conditions, there is an unmet need for the development of safer thrombolytic agents. The development of new molecules themselves may not be sufficient. This has sparked a growing interest in the design of novel nanoscale drug carrier systems for the delivery of thrombolytic enzymes in an effort to address its fatal side effects. There are numerous proof-of-concept reports on such nanoscale systems that seek to capitalize on the pathophysiologic signatures of thrombosis as well as external biochemical/physical triggers. Although there may be a long road ahead before we have such new nanoscale therapeutics on the bedside, hopes remain high.[This corrects the article DOI 10.21037/gs-20-203.].Tumors infiltrating the recto-sigmoid colon are commonly detected during cytoreductive surgery in patients with advanced ovarian cancer. Although radical excision using low anterior resection (LAR) is traditionally needed for optimal cytoreduction in the patients, LAR commonly decrease postoperative quality of life by changes of bowel habit. Since there is increasing evidence that conservative ablation of tumors on the recto-sigmoid colon may be safe and effective like LAR without compromising quality of life, we developed the surgical technique of visceral segmental serosectomy (VSS) as one of conservative ablation methods for complete resection of serosal implants on the recto-sigmoid colon and scrupulous restoration of extended serosal defect after resection. Thus, this video will show the step by step procedure of VSS during cytoreductive surgery for advanced ovarian cancer.Peritoneal carcinomatosis (PC) commonly represent drug resistance to intravenous (IV) chemotherapy in advanced or recurrent disease of solid tumors. For improving the prognosis of PC, intraperitoneal (IP) chemotherapy has been introduced in the clinical setting, and phase III trials proved the superiority of IP chemotherapy to IV chemotherapy, in particular, in advanced ovarian cancer. However, increased toxicities by IP chemotherapy lead to reduced cycles of chemotherapy, which does not guarantee its effectiveness. Moreover, hyperthermic IP chemotherapy after cytoreductive surgery also showed improved survival compared to IV chemotherapy in advanced ovarian cancer. Nevertheless, limited distribution and diffusion of drugs, and grade 3 or 4 renal and hepatic toxicity of 20% preclude the expansion of its application. On the other hand, pressurized intraperitoneal aerosol chemotherapy (PIPAC) is known to show the effect by delivering drugs to the parietal and visceral peritoneum in the form of aerosol under the abdominal pressure of 12 mmHg induced by laparoscopic system. Although low dose equivalent to about 1% dose of resistant drugs for IV chemotherapy and normothermia are used in PIPAC, it may improve tumor response and quality of life by repetitive application of PIPAC due to the increased distribution and penetration depth of drugs. However, the heterogeneous distribution of drugs is still the major limitation of PIPAC because the nozzle is placed at the possible outlying position to the tumor-bearing tissues during laparoscopic surgery. Therefore, we developed a novel prototype for PIPAC, rotational intraperitoneal pressurized aerosol chemotherapy (RIPAC) system because rotation of the nozzle and change of spray direction can contribute to homogenous distribution of drugs, and compared the distribution of drugs between PIPAC and RIPAC in a porcine model mimicking human body. As a result, RIPAC was more effective than PIPAC in terms of the distribution of drugs into the visceral and parietal peritoneum.