multilateral policy spaces. Let us not forget that on the twentieth anniversary of UNSCR 1325 last year, Russia proposed a draft resolution to the UNSC that, if passed, would have seriously diluted the hard-won advances of the past two decades. The resistance to the agenda, notably by antifeminist regional and transnational coalitions, is certainly one of the most serious threats that the WPS community is facing today. In the form of a conversation between Joy Onyesoh, Madeleine Rees, and Catia Cecilia Confortini – all affiliated with the Women’s International League for Peace and Freedom (WILPF) – the last chapter tackles the question of co-optation and how feminist advocacy has a role to play in confronting this challenge. To conclude, while this cutting-edge volume fulfills its promise, the “new directions” referred to in the title could have been more explicitly defined and discussed; its contributions could have been more clearly highlighted with the addition of a conclusion bringing together the insights of the 14 chapters. New Directions in Women, Peace and Security nonetheless offers a remarkable and accessible overview of the current theoretical debates in the field, as well as the future research avenues and policy challenges of the constantly evolving WPS agenda.

Cultural heritage materials, ranging from archaeological objects and sites to fine arts collections, are often characterized through their life cycle. In this review, the fundamentals and tools of materials science are used to explore such life cycles—first, via the origins of the materials and methods used to produce objects of function and artistry, and in some cases, examples of exceptional durability. The findings provide a window on our cultural heritage. Further, they inspire the design of sustainable materials for future generations. Also explored in this review are alteration phenomena over intervals as long as millennia or as brief as decades. Understanding the chemical processes that give rise to corrosion, passivation, or other degradation in chemical and physical properties can provide the foundation for conservation treatments. Finally, examples of characterization techniques that have been invented or enhanced to afford studies of cultural heritage materials, often nondestructively, are highlighted.

Background In ST‐segment–elevation myocardial infarction, angiography‐based complete revascularization is superior to culprit‐lesion‐only percutaneous coronary intervention. Quantitative flow ratio (QFR) is a novel, noninvasive, vasodilator‐free method used to assess the hemodynamic significance of coronary stenoses. We aimed to investigate the incremental value of QFR over angiography in nonculprit lesions in patients with ST‐segment–elevation myocardial infarction undergoing angiography‐guided complete revascularization. Methods and Results This was a retrospective post hoc QFR analysis of untreated nontarget vessels (any degree of diameter stenosis [DS]) from the randomized multicenter COMFORTABLE AMI (Comparison of Biolimus Eluted From an Erodible Stent Coating With Bare Metal Stents in Acute ST‐Elevation Myocardial Infarction) trial by assessors blinded for clinical outcomes. The primary end point was cardiac death, spontaneous nontarget vessel myocardial infarction, and clinically indicated nontarget vessel revascularization (ie, ≥70% DS by 2‐dimensional quantitative coronary angiography or ≥50% DS and ischemia) at 5 years. Of 1161 patients with ST‐segment–elevation myocardial infarction, 946 vessels in 617 patients were analyzable by QFR. At 5 years, the rate of the primary end point was significantly higher in patients with QFR ≤0.80 (n=35 patients, n=36 vessels) versus QFR >0.80 (n=582 patients, n=910 vessels) (62.9% versus 12.5%, respectively; hazard ratio [HR], 7.33 [95% CI, 4.54–11.83], P<0.001), driven by higher rates of nontarget vessel myocardial infarction (12.8% versus 3.1%, respectively; HR, 4.38 [95% CI, 1.47–13.02], P=0.008) and nontarget vessel revascularization (58.6% versus 7.7%, respectively; HR, 10.99 [95% CI, 6.39–18.91], P<0.001) with no significant differences for cardiac death. Multivariable analysis identified QFR ≤0.80 but not ≥50% DS by 3‐dimensional quantitative coronary angiography as an independent predictor of the primary end point. Results were consistent, including only >30% DS by 3‐dimensional quantitative coronary angiography. Conclusions Our study suggests incremental value of QFR over angiography‐guided percutaneous coronary intervention for nonculprit lesions among patients with ST‐segment–elevation myocardial infarction undergoing primary percutaneous coronary intervention.

Proteins are in the focus of research due to their importance as biological catalysts in various cellular processes and diseases. Since the experimental study of proteins is time-consuming and expensive, in silico prediction and analysis of proteins is common. Template-based prediction is the most reliable, which is why the aim of this study is to analyze how important are the primary features of proteins for their quality score. Statistical analysis shows that protein models with a resolution lower than 3 Å or R value lower than 0.25 have higher quality scores when compared individually to their counterparts. Machine learning algorithm random forest analysis also shows resolution to have the highest importance, while other features have lower but moderate importance scores. The exception is the presence of ligand in protein models, which does not have an effect on the global protein quality scores, both through statistical and machine learning analyses.

A method was proposed for the preparation of silica powders using sodium silicate as the silica source and carbon dioxide and hydrochloric acid as precipitating reagents. The effect of reaction temperature (20, 40, 60, and 80 °C) and SiO2 concentration in sodium silicate solutions (4, 6, 8, and 10 %) on silica morphology, dibutyl phthalate absorption, aggregate size distribution, and dispersion ability (agglomerates fragility) were investigated. The best properties of silica powder were achieved at reaction temperature 40 °C and SiO2 concentration 8 %. The properties of the silica sample obtained at optimal conditions were compared with properties of high-quality commercial silica used as rubber reinforcing filler. Also, the vulcanization characteristics and mechanical characteristics of rubber composites containing these two silica fillers were investigated. It was found that silica filler with excellent properties can be produced using the proposed method, while by tuning temperature and precursor concentration, the silica properties that are important for its reinforcing potential may be closely controlled.

Dynamic analysis can be used to find dynamic displacements, time history, and the frequency content of the load. One analysis technique for calculating the linear response of structures to dynamic loading is a modal analysis. In modal analysis, we decompose the response of the structure into several vibration modes. A mode is defined by its frequency and shape. Structural engineers call the mode with the shortest frequency (the longest period) the fundamental mode. Holzer and Stodola's approximate methods for determining the forms and periods of oscillation for frame structures are presented in the paper. An approximation method, based on approximate relative stiffnesses of the storeys and the ground floor, is analyzed and proposed. The results obtained by the proposed approximate procedure do not greatly deviate from those obtained by more accurate calculations. It is therefore emphasized that the method can be used both in practice and for checking computer-based analysis of complex systems. At the end of the paper was given a comparison of the results obtained by approximate methods and some engineering software.

Introduction: Assessment of quality of life is an important subject of research in various disciplines and today it is an integral part of the evaluation of rehabilitation and therapeutic procedures. The aim of the study was to assess the quality of life and to assess the impact of depression on the quality of life in patients with breast cancer and lung cancer. Material and methods : The study included 60 people, of whom 30 were diagnosed with lung cancer and 30 with breast cancer. The questionnaire was constructed by researchers for this research. Quality of Life Assessment Questionnaire SF-36 and assessment of depression, Beck Depression Scale. Results: The presence of complications is a statistically significant source of differences in the domain of the total physical score, and is not a statistically significant source of differences in other domains from the SF36 questionnaire. Based on the data from the previous table, we can see that the values on the Beck Depression Inventory range from 23 to 35, with AS = 30.00 and SD = 2.584. Conclusion: Respondents who have a higher score on the Beck Depression Inventory also have a higher score on the dimension of physical functioning.

Aim: To evaluate the incidence, characteristics, transmission, and outcomes of COVID-19 infection in hospitalized neonates in Tuzla Canton and to emphasize the importance of quality triage in the prevention and control of infection. Material and Methods: A retrospective cohort study, which included all consecutive neonates suspected of COVID-19 infection, and which required screening supervision in the triage department, from those who required hospital treatment at the Pediatric Clinic, University Clinical Center Tuzla for 12 months. (January 1 to December 31, 2020). Statistical analysis applied standard methods, and the research was approved by the Ethics Committee of the institution. Results: In the observed period, in the neonatal triage department, 111 neonates suspected to COVID-19 were treated, with no gender difference. Among them were 92 neonates of mothers suspected of COVID-19 (66 admitted immediately after birth, 26 readmitted after discharge home), and 19 neonates of mothers positive for COVID-19 (16 admitted immediately after birth, 3 readmitted). Cesarean delivery was a more common delivery option, and fever a more common symptom in COVID-19 positive mothers, but without statistical significance. The neonates from COVID-19 suspected mothers formed a heterogeneous group, with common perinatal problems, while neonates from COVID-19 positive mothers, hospitalized immediately after birth, were almost term neonates with appropriate birth weight, without need for a lot of treatment. All neonates hospitalized immediately after birth were negative for COVID-19.  The only three COVID-19 positive neonates were readmitted after previous discharge home, and they had mild symptoms, mostly one-day fever, and they all recovered completely. All of these neonates are under further follow-up after discharge from the hospital, and all are, for now, in good general condition, and all have continued to breastfeed. Conclusion: Neonates born to mothers with positive COVID-19 infection generally have favorable outcomes, with no convincing case of vertical transmission. Neonatal COVID-19 is mostly asymptomatic, acquired postnatally, and associated with favorable outcomes. The importance of quality triage in the prevention and control of infection is crucial, with consistent implementation of safe practices including proper patient isolation and appropriate protective equipment.

Abstract In the last decade, the automotive industry incorporated multiple electronic components into vehicles introducing various capabilities for adversaries to generate diverse types of attacks. In comparison to older types of vehicles, where the biggest concern was physical security, modern vehicles might be targeted remotely. As a result, multiple attack vectors aiming to disrupt different vehicle components emerged. Research and practice lack a comprehensive attack taxonomy for the automotive domain. In this regard, we conduct a systematic literature study, wherein 48 different attacks were identified and classified according to the proposed taxonomy of attack mechanisms. The taxonomy can be utilized by penetration testers in the automotive domain as well as to develop more sophisticated attacks by chaining multiple attack vectors together. In addition, we classify the identified attack vectors based on the following five dimensions: (1) AUTOSAR layers, (2) attack domains, (3) information security principles, (4) attack surfaces, and (5) attacker profile. The results indicate that the most applied attack vectors identified in literature are GPS spoofing, message injection, node impersonation, sybil, and wormhole attack, which are mostly applied to application and services layers of the AUTOSAR architecture.

Developing ‘climate smart forestry’ (CSF) indicators in mountain forest regions requires collection and evaluation of local data and their attributes. Genetic resources are listed among the core indicators for ‘forest biological diversity’. This study is a report on the evaluation of the standing genetic diversity within and across 12 pure beech stands (Fagus sylvatica L.) established within the CLIMO project, using nuclear microsatellite markers. The sampling sites were set along the species’ distribution range, including the Balkan region and extending towards the Iberian Peninsula. Cores or leaves from 20-23, old, mature trees per plot were sampled for DNA analysis. Genetic diversity indices were high across the range (HE = 0.74 - 0.81) with the highest in the Bosnian Mountains. Genetic divergence increased significantly with the geographical distance (Mantel test: r=0.81. p<0.001). Most of the stands exhibited an excess of heterozygotes, with the highest value at the Hungarian site (HO/HE = 1.177), where beech persists close to the eastern xeric limit of the species’ distribution. STRUCTURE revealed within–region differentiation in the Balkan Peninsula, where Bulgarian stand was the most outstanding. The genetic parameters of each stand could be assessed as a resource for CSF indicators interpreted especially at the local level.

While cross-sectional imaging has seen continuous progress and plays an undiscussed pivotal role in the diagnostic management and treatment planning of patients with rectal cancer, a largely unmet need remains for improved staging accuracy, assessment of treatment response and prediction of individual patient outcome. Moreover, the increasing availability of target therapies has called for developing reliable diagnostic tools for identifying potential responders and optimizing overall treatment strategy on a personalized basis. Radiomics has emerged as a promising, still fully evolving research topic, which could harness the power of modern computer technology to generate quantitative information from imaging datasets based on advanced data-driven biomathematical models, potentially providing an added value to conventional imaging for improved patient management. The present study aimed to illustrate the contribution that current radiomics methods applied to magnetic resonance imaging can offer to managing patients with rectal cancer.

When dealing with simple phenols such as caffeic acid (CA) and ferulic acid (FA), found in a variety of plants, it is very important to have control over the most important factors that accelerate their degradation reactions. This is the first report in which the stabilities of these two compounds have been systematically tested by exposure to various different factors. Forced degradation studies were performed on pure standards (trans-CA and trans-FA), dissolved in different solvents and exposed to different oxidative, photolytic and thermal stress conditions. Additionally, a rapid, sensitive, and selective stability-indicating gas chromatographic-mass spectrometric method was developed and validated for determination of trans-CA and trans-FA in the presence of their degradation products. Cis-CA and cis-FA were confirmed as the only degradation products in all the experiments performed. All the compounds were perfectly separated by gas chromatography (GC) and identified using mass spectrometry (MS), a method that additionally elucidated their structures. In general, more protic solvents, higher temperatures, UV radiation and longer storage times led to more significant degradation (isomerization) of both trans-isomers. The most progressive isomerization of both compounds (up to 43%) was observed when the polar solutions were exposed to daylight at room temperature for 1 month. The method was validated for linearity, precision as repeatability, limit of detection (LOD) and limit of quantitation (LOQ). The method was confirmed as linear over tested concentration ranges from 1−100 mg L−1 (r2s were above 0.999). The LOD and LOQ for trans-FA were 0.15 mg L−1 and 0.50 mg L−1, respectively. The LOD and LOQ for trans-CA were 0.23 mg L−1 and 0.77 mg L−1, respectively.