It is estimated that 1 to 2% of the population in developed countries will experience a chronic wound during their lifetime. Nurses are leaders in applying innovations that can create positive results in preventing and treating chronic wounds in patients admitted to acute care hospitals. The aim of the research is to examine the knowledge of nurses-technicians about the knowledge of measures for the prevention and treatment of chronic wounds. In the research of knowledge on the treatment of chronic wounds, 349 respondents participated, employed at the primary and tertiary levels of health care. For the purposes of the research, the authors created a questionnaire based on a review of professional and scientific literature, as well as evidence in practice. The research was conducted through the Chamber of Nurses-Technicians of Sarajevo Canton and the Chamber of Tuzla Canton. Respondents from Sarajevo Canton worked significantly longer in practice, and 36.2% of respondents worked from 21 to 30 years, and 10.9% of respondents worked longer than 30 years, while among respondents from Tuzla Canton 34.8% of them, worked from 21 to 30 years and 9.9% worked for more than 30 years. 43.9% of respondents from Tuzla Canton and 39.6% of respondents from Sarajevo Canton had a certificate for the care of chronic wounds ( X 2 = 9.077; p = 0.028). The assessment of knowledge is in a direct positive relationship with the level of health care (rho = 0.187; p = 0.001).

Devido ao importante valor nutricional e econômico que os leites bovinos e caprinos possuem, estes são constantemente alvos de fraudes. No presente trabalho foram desenvolvidos dois estudos. No primeiro estudo foi realizado a caracterização dos componentes presentes nos leites bovino e caprino através da espectroscopia vibracional Raman e de infravermelho (MIR e NIR). Em seguida, buscou-se avaliar o uso das técnicas de análise multivariadas, como a Análise de Componentes Principais (PCA) e de regressão por Mínimo Quadrados Parciais (PLS), associadas as técnicas de espectroscopia vibracional como métodos alternativos de detecção de fraude no leite caprino cru adulterado com a adição de leite bovino cru. Os modelos de PCA gerados com os dados de espectroscopia Raman e MIR apresentaram resultados satisfatórios na discriminação das amostras de 90-100% de leite caprino, as quais foram adulteradas com passos de 2% de leite bovino. Nas análises de PLS realizadas nas amostras com 60-100% de leite caprino e adulteradas com passos de 2% de leite bovino, as curvas de calibração foram obtidas com valor de 𝑅 2 ≥ 0,995. No segundo estudo realizado, buscou-se obter à amplificação de sinal Raman do leite bovino pasteurizado utilizando substratos SERS (Surface-enhanced Raman spectroscopy) ativos. Nesse estudo os substratos SERS utilizados foram produzidos em matrizes vítreas de borofosfato contendo determinadas concentrações de nitrato de prata (AgNO3 ) como agente precursor. As nanoestruturas metálicas de prata foram crescidas na superfície dos substratos SERS através do método bottom-up, com atmosfera de hidrogênio controlada e tempos de 1, 3, 5, 8 e 11 minutos de tratamento de recozimento térmico na temperatura de 300 ºC. Utilizando um laser com linha em 488nm, todos os substratos SERS ativos mostraram atividade SERS e amplificaram o sinal Raman do leite bovino pasteurizado. Destacam-se os substratos SERS dopados com 1% e 6% de íons de prata com tempo de recozimento de 3 e 11 minutos, que apresentaram fatores de eficiência SERS de 9,1 e 16,2 respectivamente.

Conference Report: Izvještaj sa Naučne manifestacije „Historijski pogledi 3“, Tuzla, 19. novembar 2020. godine

Motivation: Quantitative MRI (qMRI) offers sensitive and specific measures to study age-related microstructural changes in the brain. However, models assessing age trajectories in qMRI brain properties are often incomparable among centers. Goal(s): Develop normative models reflecting aging trajectories and assess the impact of bi-centric, non-fully matched protocols in brain aging studies. Approach: Investigating age trajectories in cortical regions using polynomial regression models, focusing on quantitative R1, R2*, and susceptibility mapping (QSM). Results: We validated data harmonization by observing the impact on normative trajectories using bicentric data, where we noted significantly different maturation and aging inflections for R1 and R2* trajectories across cortical regions. Impact: This bi-centric, multi-parameter qMRI study investigates age-dependent variations across cortical regions, offering a valuable reference for subsequent qMRI aging research and emphasizing age effects on the cortical surface.

Motivation: Progression independent of relapse activity (PIRA) is the most frequent manifestation of disability accumulation in multiple sclerosis (MS), but the mechanisms leading to PIRA are currently unknown. Goal(s): To investigate the link between PIRA and white matter degeneration in people with MS. Approach: To compare the integrity of normal-appearing white matter (NAWM) between patients with MS who experienced PIRA versus stable patients using diffusion tensor imaging (DTI) measures from a clinical-compatible protocol. Results: Patients with PIRA exhibited significant differences in DTI-derived measures compared to stable patients: reduced fractional anisotropy and increased mean and radial diffusivity in NAWM. Impact: This study sheds light on the relationship between progression independent of relapse activity (PIRA) and white matter degeneration in people with multiple sclerosis. The results have important implications for understanding the mechanisms of disability progression in relapsing-remitting multiple sclerosis.

The fieldwork carried out in 2015 as part of the Varvaria / Breberium / Bribir Archaeological Project continued the field operations undertaken in 2014 along the following lines2: excavation below the floor level of the church of Sts Joachim and Ann (fig. 1) and to the NE of the trench T2 opened last year; UDC: 726.54(497.581.2) V. Ghica 726.822(497.581.2) A. Milošević Preliminary communication N. Uroda Manuscript received: 10. 02. 2017. D. Dzino* Revised manuscript accepted: 15. 02. 2017. DOI: 10.1484/J.HAM.5.113762

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation. Abstract Attacks on industrial control systems remain rare overall, yet they may carefully target their victims. A particularly challenging threat consists of adversaries aiming to change a plant's *process flow*. A prominent example of such a threat is Stuxnet, which manipulated the speed of centrifuges to operate outside of their permitted range. Existing intrusion detection approaches fail to address this type of threat. In this paper we propose a novel network monitoring approach that takes process semantics into account by (1) extracting the value of process variables from network traffic, (2) characterizing types of variables based on the behavior of time series, and (3) modeling and monitoring the regularity of variable values over time. We implement a prototype system and evaluate it with real‐world network traffic from two operational water treatment plants. Our approach is a first step towards devising intrusion detection systems that can detect semantic attacks targeting to tamper with a plant's physical processes.