Methylating substances alter DNA by forming N3‐methylthymidine (N3mT), a mutagenic base modification. To develop a sensitive analytical method for the detection of N3mT in DNA based on capillary electrophoresis with laser‐induced fluorescence detection (CE‐LIF), we synthesized the N3mT‐3’‐phosphate as a chemical standard. The limit of detection was 1.9 amol of N3mT, which corresponds to one molecule of N3mT per 1000 normal nucleotides or 0.1%. With this method, we demonstrated that the carcinogenic nitrosamine N’‐nitrosonornicotine (NNN) induced N3mT in the human lung cancer cell line A549. Treatment with NNN also caused an elevated degree of 5‐hydroxymethylcytidine (5hmdC) in DNA, while the methylation degree (i.e. 5‐methylcytidine; 5mdC) stayed constant. According to our data, NNN could, via yet unknown mechanisms, play a role in the formation of N3mT as well as 5hmdC. In this study we have developed a new sensitive analytical method using CE‐LIF for the simultaneous detection of the three DNA modifications, 5mdC, 5hmdC and N3mT.

In this article we shortly present new string pattern matching algorithm. The algorithm uses novel technique for skipping unnecessary comparisons in pattern searching phase. The pattern searching is applied in almost all branches of science such as bioinformatics, information security, text mining, etc. In the context of continuous increase of data, efficient algorithms are necessary to ensure that one can find a pattern in a sequence in a fast and accurate manner. Pattern searching solves the problem of finding a pattern exhibiting certain properties within a given sequence of symbols. Concept of the new algorithm presented in this article is based on a character index in a pattern, aiming at, but not limited to patterns in DNA sequences.

Environmental monitoring is one of the main priorities in Europe and in the world, due to the close relationship between human health and the environmental pollution. Biosensors offer generally cost-effective, quick and real-time analytical procedures for environmental monitoring. Due to technological development in last 10 years, this type of biosensors has been developed significantly as well. This paper is review of biosensors for environmental monitoring including water, air and specific soil pollutants (i.e. pesticides), specific toxic components and other micro organic molecules that are containing toxic chemicals in them. Different types of biorecognition elements and transducers, introduced to the public at the end of 20th century and at the beginning of 21st century, are mentioned and explained in this paper.

An indoor terrarium population of Amblyomma geoemydae was established subsequent to the import of a single yellow‐marginated box turtle Cuora flavomarginata. This indoor tick population revealed an unexpected resistance against de‐ticking trials, with persistence between 2010 and 2015, when the ticks were successfully eliminated. Ticks were collected from the bodies and shells of turtles, as well as from terraria soil. Species diagnosis of ticks was carried out according to distinguishable morphological characters and supported by molecular analysis using DNA‐barcoding. Introduced exotic ticks are potential vectors of pathogens and can have an impact on wildlife, domestic animals and the human population. This case emphasizes the need for sharp surveillance and control measures on imported reptiles.

The sentinel lymph node (SLN) biopsy is a highly accurate staging procedure and the most important prognostic factor in melanoma patients. The European Organisation for Research and Treatment of Cancer (EORTC) Melanoma Group aimed to design an updated evolved SLN protocol for the histopathological workup and reporting. We herein recommend extending the distance between steps according to the short axis dimension of the lymph node and optimise both conventional sectioning and staining procedures including immunohistochemistry. We also provide guidance on the description of the spatial localisation of melanoma deposits in a SLN. The histopathological features to be reported include the following: presence or absence of the metastasis, the intranodal location of the metastasis (subcapsular, parenchymal, combined, extensive confluent and extensive multifocal), the number of the metastatic deposits (1, 2-5, 6-10, 11-20 and >20), the maximum dimension of the largest metastasis (indicating its site) and the presence of extracapsular extension and of naevus cells. This updated EORTC protocol is expected to clarify and simplify the existing procedures, ensuring a reasonable workload for the laboratory and for the pathologists resulting in cost saving with no loss, and possible increase, in accuracy.

Noninvasive load monitoring have been investigated by researchers for decades due to its cost-effective benefits. Upon introduction of smart meters, obtaining data about power consumption of households became easier. Numerous different techniques have been applied on the power consumption data to gain useful information out of it. This study applies machine learning techniques (Bayes network, random forest and rotational forest) to determine the operation state of households, where households are assumed to be either in ON or OFF state. Tracebase power consumption signature repository was used to train and test proposed machine learning models. Tracebase dataset was preprocessed to generate 4 different datasets. Test results have shown that these machine learning algorithms are able to estimate operation state with high accuracy and Bayes network shows outstanding performance among them with overall accuracy of 95%. Proposed method is extremely cost-effective for load monitoring and could replace some of the physical sensors in the smart houses.

Congestion control algorithms are crucial in achieving high utilization while preventing overloading the network. Over the years, many different congestion control algorithms have been developed, each trying to improve over others in specific situations. However, their interactions and co-existence has, to date, not been thoroughly evaluated, which is the focus of this paper. Through head-to-head comparisons of loss-based, delay-based and hybrid types of congestion control algorithms, we reveal that fairness in resources claimed is often not achieved, especially when flows sharing a link have different round-trip times or belong to different groups.

Introduction: Venous thromboembolism (VTE) consists of two entities, deep venous thrombosis (DVT), and its complication, pulmonary embolism (PE). The main therapeutic goal is the prevention of this complication. Aim: The aim of the study was to present epidemiological data of patients with the diagnosis of deep venous thrombosis, with regard to the location of thrombosis, the value of fibrinogen and D-dimer in relation to the sex of the patients, the presentation of therapeutic modality, with the presentation of PE and treatment outcomes. Methods: The study has a retrospective and observational feature, covering the period from 2008 to 2017, and included 1154 patients with the diagnosis of deep venous thrombosis as a basic criterion for inclusion. Data on sex, age, diagnosis with thrombosis localization, hospitalization duration, administered therapy, D-dimer and fibrinogen values, pulmonary thromboembolism and mortality were collected. Results: The deep venous thrombosis was mostly located at the lower limbs - in 1079 respondents (93.5%), then at the upper limbs in 65 (5.63%) cases. The left side is more represented (58.9%) than the right (40.3%), which is statistically significant (χ2=40.03, p<0.005), while 0.9% of patients had DVT bilaterally. At the lower limbs is the most common iliac thrombosis, represented in 47% of thrombosis cases at the lower limbs. Subclavian axillary thrombosis has been reported in ¾ cases at the upper limbs. The mean fibrinogen concentration in all respondents is 5.2 mg/L, for men 5.0 mg/L and for women 5.3 mg/L, above the reference values (1.8-3.8 g/L). The mean value of D-dimer was 7.33 mg/L for all respondents, 8.46 mg/L for women and 6.5 mg/L for men, which was high above the reference limit (0.55 mg/L). From baseline, 88 (7.6%) of respondents had proven/high-grade pulmonary thromboembolism as a DVT complication in the observed period. Pearson correlation established a positive correlation between lethal outcome and patient age, r=0.13, p<0.005, followed by a higher incidence of lethal outcome after DVT in older patients. Conclusion: The incidence of venous thromboembolism is approximately equal among the genders, and increases with the age of the patients, especially in men. Fibrinogen and D-dimer values in hospitalized patients are higher than the reference, in both cases more among women. Multidisciplinary approach to patients, in cooperation with angiologists, pulmonologists, cardiologists and nuclear medicine specialists is an imperative. The development of a state-level registry that would follow the incidence of deep venous thrombosis, with reference to risk factors, is imperative and necessary in planning of community health system.