Medicinal plants play a major role in the development of human cultures. Medicinal plants are a rich source of phytochemical compounds, which have proven therapeutic efficacy throughout the ages. The therapeutic efficacy is attributed to those secondary biologically active compounds. Plants have provided the human being with all his needs of food, drink, and clothing. In addition they are an important source for the treatment of many diseases being the basis of the science of alternative medicine, In recent times, the area cultivated for these medicinal plants has increased, and scientific research has tended to study the effectiveness of these plants in treating many diseases. Most plants have an effective effect as an antioxidant, anti-hyperlipidemia, hypoglycemic, antihypertensive as well as for cardiovascular diseases and strokes. The study aims to provide important data on the extent to which some medicinal plants are used in the treatment of various diseases.

Lifestyles develop throughout the life, but adolescence and early youth are important stages in acquiring healthy lifestyles habits. This is also vulnerable period for substance misuse, worsened diet habits and sedentary lifestyles linked to academic activities and responsible for developing non communicable diseases (NCD). Goal of the article is to analyse lifestyles habits and risk factors for developing NCD among students of health sciences. Study is conducted at the University Apeiron, Faculty of Health Sciences among students from first to fourth years of study. Specially designed questionnaire was prepared and distributed on line, anonymously and voluntary fulfilled by students. Every fifth student is smokers, 5,1% consume alcohol daily, more males (12,1%) than females (2,9%) (p0,05). Majority of males (42,2%) consumed alcohol drinks in one occasion during previous month, statistically more than females (21.2%) (p0,05). More than two third of students eat fruits and vegetables daily and one third have regular meals. Moderate physical active are 42,3% of students, and physical inactive are more females than males (p0,05). Risk factors for NCD have to be prevented with supportive policies in school environment and community. Students of health sciences should be a positive model of changing risk habits for NCD and saving future quality of life.

The research was carried out on a sample of 1000 (500 male and 500 female) students randomly selected from several faculties within the AAB College in Pristina, Kosovo. Respondents were treated in accordance with the Declaration of Helsinki. For the assessment of physical activity, the international questionnaire (InternationalPhysical Activity Questionnaire IPAQ). To assess the state of nutrition, morphological parameters were applied: body height, body weight and body mass index. Descriptive analysis, non-parametric technique of difference within the group as well as regression analysis were applied to process the results. The obtained results show that the average height of the student population is Mean = 174.74±8.6; body weight, mean= 70.88±12.7; body mass index, Mean = 23.1±3.3. The prevalence of overweight is 26.1%, while obesity is 2.8%. The results obtained are almost the same as the countries in the region. The survey for the assessment of physical activity indicates an insufficient involvement of students in physical activities that corresponds to the prevalence of overweight. When asked how much time you usually spend sitting during a working day, the prevalence of 2-7 hours is 84.6%. Regression analysis shows a correlation between inactivity during the day and body mass index. The data show a trend towards increasing obesity in the student population and this is an extremely powerful reason for: the Ministry of Youth, Culture and Sports, for the Ministry of Education, for Universities and Colleges, tocreate conditions for the highest possible participation of students in sports and recreational activities.

Wind Farm Podveležje is located on the plateau Podveležje, about 10 km east of the city of Mostar, in the center of the Herzegovina-Neretva Canton. The Wind Farm consists of 15 wind turbines, each with a power of 3.2 MW, making a total capacity of 48 MW. The geological structure of the surrounding area on the Podveležje plateau is very complex due to its intricate tectonic complex, ranging from layered to thinly layered Upper Cretaceous limestone with Turonian-aged radiolites as the bedrock. Cracks are often highly prominent, filled with rock weathering products, terra rosa and clay material. During geological and geotechnical investigations at foundation locations, caverns were identified in certain places. The program of additional works (destructive boreholes and TV logging) was carried out to delineate the cavern locations on WT-3, WT-4, WT-8, WT-12, WT-15, and WT-16 plateaus. The aim of the paper is to describe the cavern rehabilitation at locations of wind turbine foundation including substrate preparation, filling procedures, mixture composition, and performing destructive boreholes to verify rock mass compactness.

In the current study, we assessed the prevalence and molecular features of HER2-low phenotype in the apocrine carcinomas of the breast (ApoCa) and its relationship with tumor-infiltrating lymphocytes (TILs). A cohort of 64 well-characterized therapy-naïve ApoCa was used. The TIL distribution was assessed using the hematoxylin and eosin whole slide/scanned images following the international TILs working group recommendations. Next-generation sequencing (NGS) was performed in a subset of HER2-low ApoCa. All patients were women, with a mean age of 62 years. Forty-three carcinomas were pure apocrine carcinoma (PAC; ER−/AR+), and the remaining 21 were classified as apocrine-like carcinomas (ALCs; ER+/−, AR+/−). HER2/neu was positive (score 3+ by IHC and/or amplified by FISH) in 20/43 (47%) PAC and 4/21 (19%) ALC. The prevalence of HER2-low expression (scores 1+ or 2+ without HER2 amplification) in ApoCa was 39% without significant differences between PAC and ALC (P ═ 0.14); however, the HER2-low phenotype was more prevalent in triple-negative PAC than in ALC (P < 0.001). Levels of TILs were low (≤10%) in 74% of ApoCa (median: 5%, range 0%–50%). TIL levels were significantly higher in ALC than in PAC (P ═ 0.02). HER2 status had no impact on TIL distribution (P ═ 0.45). The genomic profile of HER2-low ApoCa was similar to other subtypes of ApoCa. ApoCa has predominantly low TIL, particularly PAC. The prevalence of the HER2-low phenotype in ApoCa is high, which should have therapeutic and clinical implications given the recently approved therapies with antibody–drug conjugates (ADCs) for HER2-low breast cancers.

Abstract Reimagine Resilience (2023), designed and established at Teachers College, Columbia University, is an innovative program that builds awareness and understanding among educators and educational personnel in the U.S. on the precursors and causes of educational displacement in students, supporting educators in promoting belonging, connectedness, and resilience to prevent educational displacement, extremism, and radicalization among students in their schools and classrooms. The study demonstrates the effectiveness of the Reimagine Resilience Program in producing attitudinal shifts in participating education personnel as they cultivate an awareness of their own biased speech and conduct. Further, this study spotlights the Program’s efficacy in identifying ways to actively prevent educational displacement as educators gain new knowledge of protective and risk factors for radicalization and targeted violence. This study underscores the importance of innovation in pedagogy, practice, assessment, and professional training for educators and educational staff to effectively engage educators in extremism and violence prevention.

Abstract This study presents findings on the indicators of educational displacement as an early risk factor for radicalization in school settings in the U.S. We collected and analyzed data from 301 students living in 43 U.S. states to inform the creation of Reimagine Resilience, an innovative violence prevention training program for educators and educational staff developed at Teachers College, Columbia University, and to measure early indications of educational displacement as a risk factor for radicalization. The study shows that poor teacher-student relations and multiple experiences of biased speech and behavior are significant early predictors of the students’ educational displacement. Educational displacement, in this study, is measured as a lack of social belonging in schools.

Analyzing students’ academic performance is important for evaluating enrollment criteria which establish the standards required for pupils who finished secondary school to gain admission to a higher education institution. The aims of this research were to develop a machine learning prediction Decision Tree classifica-tion model and analyze the performance of engineering students based on their performances during second-ary school education. The performance of students was analyzed and measured as a binomial response whether students successfully finished the first and the second study years. The developed model examined general success, number of awards obtained at competitions, special awards, average grades in mathematics, physics, and one of the official state languages during secondary school as predictor variables. The number of courses transferred from the first into the second study year and students’ GPA obtained during the first study year were added as predictor variables in the analysis and development of a prediction model for the students’ performance during the second study year and their enrollment in the third study year. Developed machine learning prediction model showed that for the performance of enrolled students in the first study year general success of students during secondary school is the most important predictor variable, followed by mathematics and physics grades. However, for the performance of the students enrolled in the second study year the most important predictor variable was number of the courses transferred from the first into the second study year, followed by students’ GPA obtained during the first study year and general success. Machine learning Decision Tree classification modeling was shown to be an adequate tool for the prediction of the performance of engineering students during the first and second study years.

Context: Chronic obstructive pulmonary disease (COPD) is one of the most common chronic lung diseases and is an important cause of mortality and morbidity in the world. Chronic obstructive pulmonary disease is a heterogeneous and multisystemic disease. Aims of the study was to assess workability of patients with COPD in relation to the workplace. Settings and Design: Prospective study. Methods and Material: The study was conducted on 150 patients with COPD. Each patient was examined by an occupational medicine specialist and a standardized COPD Questionnaire was completed. A physical examination was performed with special emphasis on auscultatory findings on the lungs. Spirometric testing was performed. Using the statistical methods, the results of the parameters of temporary (number of lost working days) and permanent incapacity (exercised right to some kind of disability) of the examined group were analyzed. Statistical Analysis Used: Descriptive statistics. SPSS 10.0. Results of the study showed that out of 150 patients, 48.67% had preserved working capacity for jobs. There are mostly jobs without special working conditions. Out of 150 patients, 51.33% had reduced working capacity for jobs. Conclusions: These are mostly workplaces with special working conditions, where respondents are exposed to the harmfulness of the workplace. Reduced working capacity was found in 51.33% of examined simple.

Extracranial internal carotid artery aneurysms (EICAAs) can lead to serious medical conditions, such as stroke or compression over cranial nerves. In very few cases, there may be hemorrhagic complications due to the rupture. Although rare, they should be suspected cause in every patient with transitory ischemic attack or stroke, especially in the presence of pain, palpable mass or bruit in the neck.

The paper discusses figurative conceptualizations of nations, countries, and institutions as either a container, a person, a sinking ship, a fabric, or hell in media discourse on the European migrant crisis. Applying Steen et al.’s (2010) three-dimensional model of metaphor analysis, we analyze a specific set of metaphorical linguistic expressions, which are inextricably related in the segments of the real discourse on migration, to discuss their rhetorical power and communicative function. The aim of this paper is to describe and identify cases when these are used as perspective-changing devices to influence readers’ opinion on an important issue such as migration.