By presenting the contemporary intercultural, interreligious, and peace dialogue in the space and place of Jerusalem and the more general Israel-Palestine conflict, attempting to remain outside the mainstream political framework, the paper examined sociopolitical-religious synergy and partially, critical human securitization. Interculturalism, multiculturalism, and such notions emerged in the 1970s, emphasizing different cultures' equivalence and dialogue. Besides cultural and territorial determinants of Arab-Israeli conflict, the status quo is conditioned by a religious rather than a secular approach to political organization. Both civilizations, peoples view the area they inhabit through religious rights, turning history into theology and different theology into sociopolitics. It presents a human conflict. While religion and nationalism based on power have often contributed to antagonism, violence, and wars, the objectives of the three monotheist religions addressing peace suggest a shift towards mutual compromise from hegemonic visions to practical expectancies. Jerusalem is the holy place where all confessions have the right of residence. Infiltration of faith into this political dispute, Islamism, and Judaism is a religious aspect disputed between Jews and Arabs. Conflicts are mainly due to territory, and religion gives it a higher purpose within narratives regarding supernatural rights. Despite the inter-religious tensions and passions involved in the contradictory faith elevation at this religious source, the internal and external peace is influenced by politics. The holy Jerusalem has been perpetual - the case. Many unadulterated Jews, Catholics, and Palestinians, who desire the city's lasting security, should be more willing to compromise. The future sociopolitical life must work around healthy economic development and human security. The revenge paradigm could negatively influence sustainable peace, maintaining violence and hybrid wars within social, psychological, historical, cultural, and stagnation reasons. There is a comparable paradigm in the Balkans- Bosnia to Israel-Palestinian question, where similar policies maintain and clerical, national, and ethnopolitical patterns materialize, i.e., critical peace stalemate persists.

This paper presents the results of an experimental investigation into the effect of nano-silica addition on the mechanical properties and durability of concrete. Three mixes of concrete containing 0%, 2%, and 4% nano-silica by weight of cement were tested. The slump of fresh concrete as well as compressive strength, dynamic modulus of elasticity at 2, 7, 28, 90, and 180 days, and flexural strength at 2, 28, and 90 days of hardened concrete were determined. As for indicators of concrete durability, the total volume of permeable voids, water absorption, the rate of water absorption, and the freeze-thaw scaling resistance were determined. Test results showed that the incorporation of nano-silica in concrete resulted in an improvement of all mechanical properties of concrete, as well as concrete durability parameters that are tested.

Fly ash class F from Thermal Power Plant “Stanari” was used in combination with highly plastic brick clay from Busovača to develop building bricks. The brick clay and fly ash were characterized for chemical and mineralogical composition, grain size distribution, and specific gravity. The fly ash has a higher proportion of larger particles and lower specific gravity than clay. The brick clay was mixed with 20, 40, and 60 wt. % of fly ash, formed in a prismatic shape, dried and then fired at 800, 900, and 1000 °C. The fired prisms were characterized for water absorption, apparent porosity, apparent density, and strength and compared with conventional clay prisms. The addition of fly ash of 20, 40, and 60% reduced the mass of the samples by 14, 23, and 31%, increased apparent porosity by 60, 100, and 160%, and reduced the compressive strength by 50, 80, and 90%, respectively. Conducted tests and comparative studies have shown that the fly ash “Stanari” can be used as an additive to the clay “Čavka” in the maximum amount of 20 % and the optimum firing temperature is 900 °C.

The paper presents one aspect of the analysis of energy consumption and productivity of the manufacturing operation. As an example of the operation, the operation of turning with a single-blade tool was taken. Sustainable development in its general concept implies sustainable materials, sustainable design, and sustainable manufacturing. This paper presents an analysis of one important part of sustainable manufacturing, and that is energy saving. The experimental study was conducted as follows. In laboratory conditions, an experimental-mathematical regression model of the relationship between cutting force and processing conditions was defined. Machining experiments were performed under ECO-friendly conditions with technology known as MQCL (Minimum Quantity Cooling Lubrication) machining. The obtained mathematical model was used to calculate the energy consumption and the workpiece material removal rate (MRR, productivity). The results of the analysis showed that there is a lot of space for optimization of machining conditions from the aspect of power consumption, with mandatory calculation and other machining costs, above all, the cost of tools and machine tools. In this regard, recommendations for analysis with the aim of power saving are given.

In this study, the physical properties (oven-dry density, basic density, volumetric shrinkage, and swelling) and structural components (cellulose, lignin, and extractives content) of three wild almond wood species from southwestern Iran, namely Amygdalus arabica, Amygdalus eburna, and Amygdalus scoparia, were investigated. Wild almond is a valuable wood species in the Zagros forests of Iran, but there is a lack of data on their wood properties. Three adult trees of each species were chosen, and samples were prepared from the breast height diameter to measure the focal properties. Results of analysis of variance (ANOVA) showed that the wood species had a significant effect on the wood density and volumetric shrinkage. Maximum oven-dry density and volumetric shrinkage of wood were identified in Amygdalus scoparia. The highest and lowest content of structural components were found in Amygdalus scoparia and Amygdalus arabica wood species, respectively. A deep understanding of the almond wood characteristics will provide a fresh insight into the relationship between the properties and conservation of these special, as well as applications of their wood.

The majority of refractories used today are associated with the iron and steel industries. Typically, the refractory lining of a blast furnace consists of a combination of different refractory materials chosen for different portions of the furnace, as well as distinct process conditions and temperature ranges. Knowledge and requirements for the iron manufacturing system in conjunction with the physical, mechanical, and chemical qualities of the proposed refractories determine the choice of refractory combination. Inadequate understanding of the aforementioned components frequently results in refractory failure, which then becomes a difficult problem to tackle. A blast furnace's refractory liner typically fails owing to any number or combination of these variables. To facilitate comprehension, we will explain the types of refractory lining required in a blast furnace by region, as well as the observed trend in refractory lining patterns over the past few decades.

C. jejuni and C. coli have the greatest zoonotic potential. In humans, they cause campylobacteriosis with symptoms of food poisoning. Epidemics are mostly related to the consumption of non-chlorinated water and contaminated chicken food and in the spring-summer season. Since 2005, according to the European Food Safety Agency and the European Center for Disease Prevention and Control, campylobacteriosis has been considered the leading alimentary intoxication. A review of the literature was published in Medline, PubMed, Google Scholar, electronically available scientific journals, books, textbooks, proceedings books and reports EFSA/ ECDC, FAO/ WHO. Only literature in English, Bosnian/Croatian/Serbian is included. As a measure to prevent campylobacteriosis, sanitation is recommended in the primary production of chicken meat, and the use of probiotics in meat as biological preservatives is being investigated

Key Points The aptamer rondoraptivon pegol improved VWF/FVIII levels, multimer patterns, and thrombocytopenia in type 2B von Willebrand disease. Once weekly subcutaneous injections of rondoraptivon pegol may in the future be used for prophylaxis or treatment of VWD.

INTRODUCTION Although vaccines are the safest and most effective means to prevent and control infectious diseases, the increasing rate of vaccine hesitancy and refusal (VHR) has become a worldwide concern. We aimed to find opinions of parents on vaccinating their children and contribute to available literature in order to support the fight against vaccine refusal by investigating the reasons for VHR on a global scale. METHODOLOGY In this international cross-sectional multicenter study conducted by the Infectious Diseases International Research Initiative (ID-IRI), a questionnaire consisting of 20 questions was used to determine parents' attitudes towards vaccination of their children. RESULTS Four thousand and twenty-nine (4,029) parents were included in the study and 2,863 (78.1%) were females. The overall VHR rate of the parents was found to be 13.7%. Nineteen-point three percent (19.3%) of the parents did not fully comply with the vaccination programs. The VHR rate was higher in high-income (HI) countries. Our study has shown that parents with disabled children and immunocompromised children, with low education levels, and those who use social media networks as sources of information for childhood immunizations had higher VHR rates (p < 0.05 for all). CONCLUSIONS Seemingly all factors leading to VHR are related to training of the community and the sources of training. Thus, it is necessary to develop strategies at a global level and provide reliable knowledge to combat VHR.

Austenitic stainless steel is mostly used at high temperatures. It is known that during heating of the austenitic stainless steel with increasing temperature and time of annealing a microstructure is changed i.e. there is the precipitation of carbides followed by precipitation of secondary phases as a sigma phase. The presence of the delta ferrite in austenitic stainless steel enhances the formation of the sigma phase. This study represents the influence of delta ferrite on the sigma phase formation and the effect of the sigma phase on general corrosion. Corrosion tests were conducted in the corrosion cell according to Standard ASTM G5, on instrument potentiostat/galvanostat, Princeton Applied Research, model 263A-2, with the software PowerCORR® (Standard, ASTM G5-94). Examinations were carried out in 1% HCl and 10% FeCl3 solutions. The Tafel extrapolation method was used for the investigation of general corrosion. The results of corrosion testing indicated that the intensity of the general corrosion increases with the increase of the delta ferrite and sigma phase contents.

The role of ECG segmentation tool has been pivotal in automated analysis of real-time ECG signals for detection of non-invasive cardiovascular and physiological conditions. Most of the existing approaches focus on traditional signal processing and/or traditional machine learning based approaches which are highly dependent on signal noise, inter/intra subject variability, etc. With the advent of deep learning based networks, it is possible to design and develop the classification model based on local features along with spatial and temporal context of the physiological signals. In this paper, we developed the attention based Convolutional Bidirectional Long Short Term Memory (Conv-BiLSTM) architecture network based on local beat features and temporal sequencing while correlating ECG beat across different positions. The performance of our ECG segmentation tool has been evaluated against the state-of-the art approaches in terms of ECG segmentation and fiducial point detection accuracy. The ECG segmentation accuracy was 95% whereas fiducial point detection accuracy was 99.4%.

We evaluate classical macroeconomic theory IS-LM model and expose the paradox of real interest rate (r) which equilibrates S (real goods and services produced and saved in the domestic economy) and I (investments) if the loanable capital is not coming only from real savings but investments can be financed through the money creation or 'money capital' generated either through the credit expansion in the banking system due to fractional reserves banking or through the open market operations by the government. If r is exogenous and lowered through monetary policy, I is expanded beyond S, which paradoxically require higher r to correct for these disbalances in macroeconomic sense. Economic and financial system should eliminate this exogenous influence on r, by separating money creation from r, so that r is left to play its equilibrating role in macroeconomic sense. Separation of r from interest rate on money is in line with prescribed prohibition of setting any fixed reward on money per se, and in general ex-ante setting of reward in productive endeavors which is also forbidden in Islamic jurisprudence. We show that classic macroeconomic theory does not expose the effect that fresh money has on saving and capital markets from the perspective of macroeconomic balance. Therefore, macroeconomic policy should concentrate on achievement of macroeconomic targets without lowering r as it is paradox to lower the return on capital and savings to promote economic growth as higher r on capital promotes investment. This is possible if ex-ante determination of reward on borrowed funds is adopted. However, the phenomena of fresh capital creation in the form of new money and its use in financing of investments should be rethought from macroeconomic perspective and overall social justice as real savings are not of equal opportunity cost as new money (capital)?

Distributional shift, or the mismatch between training and deployment data, is a significant obstacle to the usage of machine learning in high-stakes industrial applications, such as autonomous driving and medicine. This creates a need to be able to assess how robustly ML models generalize as well as the quality of their uncertainty estimates. Standard ML baseline datasets do not allow these properties to be assessed, as the training, validation and test data are often identically distributed. Recently, a range of dedicated benchmarks have appeared, featuring both distributionally matched and shifted data. Among these benchmarks, the Shifts dataset stands out in terms of the diversity of tasks as well as the data modalities it features. While most of the benchmarks are heavily dominated by 2D image classification tasks, Shifts contains tabular weather forecasting, machine translation, and vehicle motion prediction tasks. This enables the robustness properties of models to be assessed on a diverse set of industrial-scale tasks and either universal or directly applicable task-specific conclusions to be reached. In this paper, we extend the Shifts Dataset with two datasets sourced from industrial, high-risk applications of high societal importance. Specifically, we consider the tasks of segmentation of white matter Multiple Sclerosis lesions in 3D magnetic resonance brain images and the estimation of power consumption in marine cargo vessels. Both tasks feature ubiquitous distributional shifts and a strict safety requirement due to the high cost of errors. These new datasets will allow researchers to further explore robust generalization and uncertainty estimation in new situations. In this work, we provide a description of the dataset and baseline results for both tasks.