Gender and diversity in transport research in Europe

The paper explores gender and diversity in transport research. Despite recent initiatives to address gender gaps in STEM and support women in research, most research outputs and investigations are led by men. Taking a systems-oriented approach, using qualitative and desk-based research, the authors argue that gender and diversity bias in research is symptomatic of a wider malaise in the Transport Business Ecosystem (TBE). This not only effects women’s research footprints but more importantly the direction of transport research

Smart Thermoresponsive Surfaces Based on pNIPAm Coatings and Laser Method for Biological Applications

Various applications within last decades such as bacterially resistant surfaces, soft robotics, drug delivery systems, sensors and tissue engineering are poised to feature the importance of the ability to control bio-interfacial interactions. An enhanced attention is dedicated to designing smart stimuli-responsive interfaces for DNA, drug delivery, protein and cell based applications. Within this context, the thermoresponsive materials, especially poly(N-isopropylacrylamide) (pNIPAm) have been intensively used in tissue engineering applications for a controlled detachment of proteins and cells with a minimum of invasive effect on protein and cell structural conformation. The properties of smart bio-interfaces can be controlled by its composition and polymer architecture. Therefore, appropriate methods for obtaining controlled coatings are necessary. Laser methods were successfully used in the last decades for obtaining controlled organic and inorganic coatings for various types of applications, from electronics to tissue engineering. Among these, Matrix-Assisted Pulsed Laser Evaporation (MAPLE) technique bring us a step forward to other laser methods by avoiding damage and photochemical decomposition of materials. In this chapter we describe materials and approaches used for design of smart bio-interfaces aimed at controlling protein and cells behavior in vitro, focusing MAPLE method for tuning coatings characteristics in relation with biological response

Irrational Beliefs and Personality Traits as Psychological Mechanisms Underlying the Adolescents' Extremist Mind-Set

The tripartite model of militant extremist mind-set proposed by Stankov et al. (2010b) includes three components: War (justification of violent acts as war); God (violence is seeing extremist acts as moral because they are done in the name of God or Allah); and West (violence against Western countries is justified because they are perceived as evil and/or immoral). There is a lack of conceptual framework regarding psychological mechanism that underlie radicalization and extremism, and there is little evidence regarding risk factors for radicalization in the scientific literature. In the present study, it is hypothesized that irrational beliefs and a constellation of personality factors are two possible psychological mechanisms that put adolescents in a vulnerable position and could influence them to develop an extremist mind-set. The sample consists in 295 Romanian adolescents, ages 15–18 years, and the mean age being 16.41. The present study was conducted in several schools from Bihor County located in the north-western part of Romania. Adolescents took part on a voluntary basis in the study after the written, informed consent was obtained from their parents. A confirmatory factor analysis (CFA) on the structure of Militant Extremist Mind-Set Scale confirmed the three-factor model of the extremist mind-set. Two confirmatory factor analyses were also conducted for the other two administered scales: CASI and Mini-IPIP. The results support the previous models for both scales, including items loading on factors. SEM analysis was performed with AMOS 23 statistical package on a final sample size of 242 participants and there were no missing data. Fifth structural models were specified. The fifth model had adequate fit based on all three indices including the RMSEA (0.054), CFI (0.958), and SRMS (0.047). Global evaluation of self seems to be the only irrational belief that was somewhat related with the extremis mind-set, being part of it. Neuroticism was not identified as being a variable that could have a direct influence on mind-set extremism, or an indirect influence through personality. Religious adherence is a good predictor of extremist ideology. A global personality factor consisting in low Intellect/Imagination, low Extraversion and high Agreeableness seems to be a vulnerability factor that influences people to believe in extremist ideology

Anticancer effects of lactoferrin: underlying mechanisms and future trends in cancer therapy

Lactoferrin has been widely studied over the last 70 years, and its role in diverse biological functions is now well known and generally accepted by the scientific community. Usually, alterations of the lactoferrin gene in cells are associated with an increased incidence of cancer. Several studies suggest that exogenous treatment with lactoferrin and its derivatives can efficiently inhibit the growth of tumors and reduce susceptibility to cancer. None of these studies, however, reported a consistent outcome with regard to the mechanisms underlying the anticancer effects of lactoferrin. In this review, the association of lactoferrin with cancer is thoroughly discussed, from lactoferrin gene expression to the potential use of lactoferrin in cancer therapy. Lactoferrin cytotoxicity against several cancers is reported to occur in distinct ways under different conditions, namely by cell membrane disruption, apoptosis induction, cell cycle arrest, and cell immunoreaction. Based on these mechanisms, new strategies to improve the anticancer effects of the lactoferrin protein and/or its derivatives are proposed. The potential for lactoferrin in the field of cancer research (including as a chemotherapeutic agent in cancer therapy) is also discussed.Funding. Financial support was received from the Erasmus Mundus External Cooperation Window (Y), the Strategic Project PEst-OE/EQB/LA0023/2013, and the Fundacao para a Ciencia e a Tecnologia (project reference RECI/BBB-EBI/0179/2012; project no. FCOMP-01-0124-FEDER-027462)

The anticancer activity of lytic peptides is inhibited by heparan sulfate on the surface of the tumor cells

<p>Abstract</p> <p>Background</p> <p>Cationic antimicrobial peptides (CAPs) with antitumor activity constitute a promising group of novel anticancer agents. These peptides induce lysis of cancer cells through interactions with the plasma membrane. It is not known which cancer cell membrane components influence their susceptibility to CAPs. We have previously shown that CAPs interact with the two glycosaminoglycans (GAGs), heparan sulfate (HS) and chondroitin sulfate (CS), which are present on the surface of most cells. The purpose of this study was to investigate the role of the two GAGs in the cytotoxic activity of CAPs.</p> <p>Methods</p> <p>Various cell lines, expressing different levels of cell surface GAGs, were exposed to bovine lactoferricin (LfcinB) and the designer peptide, KW5. The cytotoxic effect of the peptides was investigated by use of the colorimetric MTT viability assay. The cytotoxic effect on wild type CHO cells, expressing normal amounts of GAGs on the cell surface, and the mutant pgsA-745, that has no expression of GAGs on the cell surface, was also investigated.</p> <p>Results</p> <p>We show that cells not expressing HS were more susceptible to CAPs than cells expressing HS at the cell surface. Further, exogenously added heparin inhibited the cytotoxic effect of the peptides. Chondroitin sulfate had no effect on the cytotoxic activity of KW5 and only minor effects on LfcinB cytotoxicity.</p> <p>Conclusion</p> <p>Our results show for the first time that negatively charged molecules at the surface of cancer cells inhibit the cytotoxic activity of CAPs. Our results indicate that HS at the surface of cancer cells sequesters CAPs away from the phospholipid bilayer and thereby impede their ability to induce cytolysis.</p

Efficient model order reduction method for the analysis of electromagnetic interference

With the advent of high speed interconnects, signal integrity issues resulting from incident electromagnetic fields are becoming a significant challenge for circuit designers. It is necessary therefore to be able to efficiently and accurately simulate interconnect networks affected by this type of interference in order to have a clear picture of how the signal on the interconnect is affected. Since models for interconnect networks affected by incident electromagnetic fields tend to be very large, traditional circuit simulation techniques require a significant CPU cost. In order to address this problem, this thesis introduces a model order reduction technique that allows for the quick frequency domain simulation of large interconnect networks affected by incident electromagnetic fields. Furthermore, a model order reduction algorithm is presented that produces a small, accurate and provably passive macromodel of an interconnect network affected by incident fields, which is very well suited for quick and efficient simulation in both the time and frequency domain. For both cases, projection based model order reduction is used to obtain the desired results. Several examples are provided in order to prove the viability of each proposed new approach