<p>Steel 17-7PH is austenitic-martensitic steel with high strength, hardness, and resistance to creep, and<br />corrosion. It is designed for aerospace components, but can also be used for other applications that require<br />high strength and corrosion resistance, as well as leaf springs for operation at temperatures up to 316 &deg;C. It<br />can be used in a solution-treated or heat-treated state to obtain a wide range of property values. This<br />paperwork shows that modification of the contents of alloying elements with a narrower interval of Cr, Ni,<br />and Al can be obtained from austenitic-martensitic steel 17-7PH which by, a subsequent heat treatment,<br />can have values of mechanical and chemical properties required for components of an automotive engine.<br />Chromium is an alphagenic alloying element that stabilizes the ferrite region, nickel is a gammagenic<br />alloying element that stabilizes austenite and gives these steels good strength and toughness, even at low<br />temperatures and aluminum increases corrosion resistance in low-carbon corrosion-resistant steels<br />Research has determined the most suitable interval of Cr, Ni, and Al, which in combination with the<br />cryogenic heat treatment RH950 at -50 &deg;C gives the mechanical and chemical properties that meet the<br />requirements for steel with standard chemical composition.</p>

U razdoblju dvije godine (2019, 2020) proučavane su fizikalne i kemijske osobine ploda dvije sorte trešnje (Isabella i Prima Giant) cijepljene na podlozi Saint Lucie 64 u agroekološkim uvjetima submediteranske Hercegovine na tri različita tipa tla na lokalitetima: Blagaj, Konjusi i Aladinići. Istraživanja su obuhvaćala analizu mase ploda i koštice, dužinu peteljke, dimenzije ploda, sadržaj ukupnih kiselina i ukupnih šećera. Rezultati su pokazali da je sorta Prima Giant u 2020. godini imala najveću prosječnu vrijednost za sve promatrane fizikalne parametre ploda (masu ploda i koštice, dužinu peteljke, širinu ploda). Sorta Isabella je u 2019. godini imala najveću prosječnu masu koštice i dužinu peteljke, dok su plodovi sorte Prima Giant imali najveću prosječnu masu, dužinu, širinu i debljinu ploda. Na osnovu dobivenih vrijednosti, sorta Prima Giant je pokazala bolje rezultate fizikalnih osobina ploda u odnosu na sortu Isabella. Sorta Isabella je imala najveću prosječnu vrijednost ukupnih šećera i kiselina.

<p>This study investigated the mechanical properties of a series of Fe-Cr-Mn (Mo)-N alloys. The chromium<br />content ranged from 16 to 18 mass%. The test alloys were produced by adding nitrided ferroalloys during<br />melting in an induction furnace. Test specimens of each alloy were prepared for mechanical testing and<br />microstructural observation. Tensile strength (TS) and elongation (EL) were determined. By increasing or<br />decreasing the content of the chromium, it can directly affected on the values of the mechanical properties<br />and the final microstructure. A series of experiments showed that increasing the chromium content by<br />1.46 mass% in the Fe-16Cr-8Mn (Mo)-N alloy led to a decrease in the TS value by 12% and in the EL value by<br />16.1%, while increasing the chromium content by 0.72 mass% in the Fe-16Cr-11Mn (Mo)-N alloy caused a<br />decrease in the TS value by 6.1% and in the EL value by 16%. The chromium content of 16 mass % in the<br />studied alloys was found to provide sufficient strength and a relatively high elongation value. The alloys<br />can also contain a higher mass fraction of chromium, but to obtain a complete austenitic structure it is<br />necessary to increase the content of manganese and nitrogen.</p>

This research aims to examine and determine the attitudes, i.e. the interest of teachers, physical and health education teachers, and parents for the introduction of inclusive sports programs in the educational system of schools that would be integrated and available to all students regardless of the abilities, opportunities, individuality of each child as and to difficulty. The research was conducted on a sample of N=426 respondents, of which there were N=370 parents, N=49 teachers, and N=7 physical and health education teachers. For the implementation of this research, a survey method was used through the application of questionnaires/attitude scales for teachers, physical and health education teachers, and parents. We processed the research results using descriptive statistics, frequencies, and percentages and presented them tabularly and graphically. The total number of students in the four elementary schools where the research was conducted is N=1082 students, of which there were N=16 students with developmental disabilities. Of these, 14 students work according to an individual plan and program (IPP), and 13 students have a teaching assistant. Out of a total of N=1082 students, 292 students with typical development attend one of the school sections, and 2 students with developmental difficulties. Parents, teachers, and teachers are in favor of introducing inclusive sports programs into the educational system of schools that would be integrated and accessible to all students, regardless of the abilities, opportunities, and individuality of each child, as well as the difficulty.

: Pink pepper is classified into the Californian/Peruvian type ( Schinus molle ) and the Brazilian type ( S. terebinthifolia ). According to studies, pink pepper extracts and essential oils have shown anti-inflammatory, antioxidant, genotoxic and antidiabetic properties in in vitro and in vivo studies. The results of bioactivity tests vary depending on the geographical origin of the pepper. In this paper, the cytotoxic, antioxidant and anti-bacterial effects of the essential oil of the commercial pink pepper fruit from the Tuzla market were investigated. To assess the cytotoxic potential, a tetrazolium salt reduction (MTT) viability assay was performed. The antioxidant potential was examined spectrophotometrically, using DPPH and FRAP methods. Diffusion techniques were used to evaluate the antibacterial activity of the essential oil. Using GC/MS, 24 components of red pepper essential oil were identified, of which α - pinene, α - phellandrene, δ -3-carene and D-limonene dominate. The studied pink pepper essential oil inhibited the cell proliferation in the HeLa cell line, causing a dose-dependent cytotoxic effect (IC 50 =389.46 µg/mL). The essential oil inhibits DPPH radicals. The reducing ability is relatively weak. For the essential oil, an extremely good ability to inhibit the growth of the bacteria used in this study was confirmed. These results indicate a very high potential of essential oil of pink pepper fruit as an inhibitor of pathogenic organisms .

Aims: Congestive heart failure (CHF) is characterized by symptoms and signs of volume overload and tissue perfusion insufficiency and accompanied by neurohormonal activation. Copeptin is a part of pre-pro-vasopressin and synthesized in equal molar amounts with vasopressin. We aimed to evaluate the sensitivity and specificity of copeptin in indicating the diagnostic value of CHF Methods: This retrospective study included a total of 80 patients including 40 with heart failure and 40 healthy individuals. The groups were compared in terms of demographic features, laboratory findings including copeptin levels. Results: There was no statistically significant difference between the groups in terms of gender (p>0.05). Age, hypertension, diabetes mellitus, smoking were statistically significantly higher in the heart failure group compared to the control group (p<0.05). In both groups, serum copeptin levels were higher in men than in women. Copeptin levels in the heart failure group were statistically significantly higher than in the control group (p<0.05). In the heart failure group, there was a negative correlation between serum copeptin levels and age, gender, hypertension, smoking, HDL cholesterol, hematocrit, creatinine levels. Conclusion: Copeptin is a good indicator of the course of the disease in patients with heart failure.

Abstract Research into sustainable construction is increasingly focusing on the use of renewable materials in construction. These materials represent a promising alternative to conventional building materials as they are derived from renewable sources and are usually more environmentally friendly in terms of production, transport and end-of-life treatment. The Department of Ecological Building Technologies at the Vienna University of Technology has been investigating the hygrothermal behaviour and applicability of renewable materials for many years. Not only traditional building materials such as straw, wood, sheep’s wool and hemp have been investigated, but also innovative materials such as mushroom fabric. The research covered various aspects such as moisture protection, fire protection, thermal insulation, durability and resistance to external influences. The overall aim was to deepen the understanding of ecological building materials, overcome barriers to their use, and develop damage-tolerant constructions from them. The robust properties of wheat straw, sheep’s wool, hemp, cellulose and other materials underline their potential as efficient and environmentally friendly building materials. The data and insights gained will not only help to prove the effectiveness of these materials in the construction industry, but also to address concerns and uncertainties about their functionality.

Using the descriptive-analytical method and grammatical analysis, this paper explores the phenomenon of lexical and grammatical polysemy in the 90 th Qur'anic surah al-Balad. Contemporary works from Cognitive Linguistics and the tafsir tradition form the basis of the research. Some key lexical units in this surah are characterised by polysemy, as observed by commentators of the Qur'an. The commitment to a specific semantic structure during interpretation can lead to semantic changes in the text’s higher structures. The paper’s aim is to present the cognitive implications of the use of such expressions, and to discover why Qur'an translators opted for specific interpretive matrices in the Bosnian language.

This paper analyses the creation of the first curricula of the Faculty of Islamic Theology in Sarajevo, and the challenges that arose during their implementation. This topic was previously addressed in the 2017 monograph Faculty of Islamic Studies University of Sarajevo 1977-2017, published for the university’s 40th anniversary. Although the paper uses the information presented in this publication, it goes a step further to examine the process of curriculum implementation, the issues inherent to this process, and the successful and less successful ways in which it dealt with these challenges.

Adaptive and personalized systems have become pervasive technologies, gradually playing an increasingly important role in our daily lives. Indeed, we are now accustomed to interacting with algorithms that leverage the power of Language Models (LLMs) to assist us in various scenarios, from services suggesting music or movies to personal assistants proactively supporting us in complex decision-making tasks. As these technologies continue to shape our everyday experiences, ensuring that the internal mechanisms guiding these algorithms are transparent and comprehensible becomes imperative. The EU General Data Protection Regulation (GDPR) recognizes the users’ right to explanation when confronted with intelligent systems, highlighting the significance of this aspect. Regrettably, current research often prioritizes the maximization of personalization strategy effectiveness, such as recommendation accuracy, at the expense of model explainability. To address this concern, the workshop aims to provide a platform for in-depth discussions on challenges, problems, and innovative research approaches in the field. The workshop specifically focuses on investigating the role of transparency and explainability in recent methodologies for constructing user models and developing personalized and adaptive systems.

While most recommender systems cater to individual users’ needs, there are numerous situations where these systems are needed to meet groups’ demands. These systems are broadly labelled as Group Recommender Systems (GRSys). Traits like interpersonal relationships, group mood, and emotional contagion are essential to fulfilling the group’s needs. However, the group’s characteristics are frequently ill-defined and dynamic and are typically absent from systems modeling. Moreover, GRSys must maneuver between the needs of the group and the individuals when opinions differ and can contradict each other. The third edition of GMAP proposes consolidating a community of scholars interested in group modeling, adaptation, and personalization. Through the workshop, researchers continue their examination of the difficulties and possibilities of creating efficient procedures and instruments to facilitate collective decision-making. GMAP 2024 offered this unique opportunity to gather scholars from different fields to enrich discussions over GRSys’ research. The workshop also allowed attendees to strengthen their networks and establish new connections conducive to cutting-edge collaborative research.

In a decision-making scenario, one group member may need, independently from the other members, to choose an item, e.g., a restaurant, that will be experienced by the group. In a prior research on restaurant recommendation, we have identified two primary tasks of such an organizer of a lunch/dinner event, who is in charge of selecting a proper restaurant for the group: anticipating the other group members’ preferences, to properly enter these preferences in the recommender system, and reconciling incompatible preferences, if they arise in the elicitation phase. To support the first task, we augmented a group recommender system with a machine learning model that predicts group members’ food preferences, about dishes that can be consumed in the restaurant, based on other available information about the members (demographics and preferred cuisine). However, in a user study, we found that supporting functionality to be not effective in improving the quality of the choices made by the organizer. In this paper, we investigate the causes of this poor performance. We analyze the possibility that the poor performance may relate to: the deployed ML models used for food preference prediction, the amount of data about food preferences used for training the ML model, and the complexity of the preference anticipation task. The results of our experiments suggest that neither the ML model nor the scarcity of the preference data is responsible for the observed poor value of the implemented preference recalling function. While a user study seems to confirm the impossibility of accurately predicting food preferences from the considered user’s characteristics (demographics and preferred cuisine).

RNA interference (RNAi) is a crucial mechanism that can contribute to immunity against infectious microbes through the action of DICER-LIKE (DCL) and ARGONAUTE (AGO) proteins. In the case of the fungal pathogen Botrytis cinerea and the oomycete Hyaloperonospora arabidopsidis, plant DCL and AGO proteins have proven roles as negative regulators of immunity, suggesting functional specialization of these proteins. To address this aspect in a broader taxonomic context, we characterized the colonization pattern of an informative set of DCL and AGO loss-of-function mutants in Arabidopsis thaliana upon infection with a panel of pathogenic microbes with different lifestyles, and a fungal mutualist. Our results revealed that AGO1 and AGO4 function as positive regulators of immunity to a bacterial and a fungal pathogen, respectively. Additionally, AGO2 and AGO10 positively modulated the colonization by a fungal mutualist. Therefore, analysing the role of RNAi across a broader range of plant-microbe interactions has identified previously unknown functions for AGO proteins. For some pathogen interactions, however, all tested mutants exhibited wild type-like infection phenotypes, suggesting that the roles of AGO and DCL proteins in these interactions may be more complex to elucidate.

[This corrects the article DOI: 10.1021/acsomega.3c08932.].