We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

The increase in the number of traffic accidents, as well as the development of modern traffic signaling, have influenced realistic traffic solutions at intersections to be aimed at constructing roundabouts, which has increased the capacity and safety of traffic participants. This paper has several goals that refer to the development of methodology for evaluating potential locations for roundabout construction. The subject of this research is based on the development of a model for the construction of a roundabout in Doboj using the integrated BWM (Best Worst Method) and MABAC (Multi-Attributive Border Approximation area Comparison) approach. Taking into account the fact that Doboj is a transport hub where many roads intersect and that it is a very important transit point, the necessity of constructing roundabouts is justified. Therefore, as part of the paper, an adequate methodology has been developed for an optimal selection of a potential location for the construction of a roundabout.

By improving the quality of life and extending the length of life, Western society is becoming an increasingly ageing population with a higher proportion of seniors. From another point of view, there is a critical shortage of care staff, both in hospitals and for in-home care. Thanks to new technology trends such as Smart Homes and Smart Furniture, there is an opportunity for increased support for seniors by utilizing new technologies. This paper presents the current trends and possibilities in applying smart information and communications technology (ICT) solutions for in-home care concerning diseases in old age. The paper consists of a systematic review according to the PRISMA methodology of the available literature in Web of Science, IEEE Xplore, PubMed, Springer, and the Espacenet patent database. Publications report the usage of some types of artificial intelligence and their implementation and non-intrusive sensing technologies. The patents review identified solutions with a focus on monitoring the state of older adults and mobility improvement. Existing ICT smart solutions must address the following issues: (1) ease-of-use; (2) invisibility and disuse that isolate older adults; (3) privacy and security; (4) affordability of technology in terms of cost; and (5) supporting elderly individuals to stay in their homes or move in different environments independently. There is a significant gap between a large number of scientific publications and commercial solutions. The existing products reflect the specifics of the diseases in a rather wider context instead of the fulfilment of exact needs. It is often stated that such devices can be used across diseases, but the direct connection and benefits for the disease is still rather weak. The challenge remains to tap the existing potential of a large number of innovative ideas on the market and improve the quality of life.

ABSTRACT • Physical and psychological disorders in school-age children, as a consequence of prolonged sitting in class, denote one of the alarming issues of the today’s civilization. Scientific and professional literature pays great attention to the causes and phenomena of postural disorders caused by prolonged sitting, such as musculoskeletal disorders and back pain (MSD/BP). This phenomenon in children is increasingly correlated with school furniture design. School furniture, especially the chair and desk, are one of the most important factors to achieve the right body posture of pupils during school education. Despite this, not much attention is paid to the ergonomic requirements in furniture design, which are a prerequisite for good health, motivation improvement and learning of students. The objective of this paper is to show the impact of unmatched school furniture on the development of health problems and poor pupils’ posture through a review of scientific literature and previous studies concerning the issue. The results include a comparison of ten papers published in the period from 2004 to 2017 in Finland, Greece, Croatia, Slovenia, Nigeria, Brazil, Iran, Belgium, United Kingdom and India. Various databases have been used, including Pub Med, Google Scholar, Medline, Hrčak, Dabar, Science Direct and Science Citation Index. By reviewing the previous research of the selected authors dealing with sitting posture in school, an insight was gained into the effect of inadequate body postures on pupils’ health that could be used as guidance for new school furniture design.

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum. We detail current experimental offerings in direct searches for new particles, measurements, technical implementations and Open Data, and provide a set of recommendations for further improving the presentation of LHC results in order to better enable reinterpretation in the future. We also provide a brief description of existing software reinterpretation frameworks and recent global analyses of new physics that make use of the current data.

In this paper, a novel global optimization algorithm – Wingsuit Flying Search (WFS) is introduced. It is inspired by the popular extreme sport – wingsuit flying. The algorithm mimics the intention of a flier to land at the lowest possible point of the Earth surface within their range, i.e., a global minimum of the search space. This is achieved by probing the search space at each iteration with a carefully picked population of points. Iterative update of the population corresponds to the flier progressively getting a sharper image of the surface, thus shifting the focus to lower regions. The algorithm is described in detail, including the mathematical background and the pseudocode. It is validated using a variety of classical and CEC 2020 benchmark functions under a number of search space dimensionalities. The validation includes the comparison of WFS to several nature-inspired popular metaheuristic algorithms, including the winners of CEC 2017 competition. The numerical results indicate that WFS algorithm provides considerable performance improvements (mean solution values, standard deviation of solution values, runtime and convergence rate) with respect to other methods. The main advantages of this algorithm are that it is practically parameter-free, apart from the population size and maximal number of iterations. Moreover, it is considerably “lean” and easy to implement.

For hospital personnel, a number of harmful chemicals exist. The paper deal with very different harmful chemicals, but all chemicals are important and continuing problems where the risks to health, if uncontrolled, are serious. In the research was used descriptive statistical operations and multivariate statistical method, factor analysis (FA), i.e. principal component analysis (PCA). An analysis of 24 organic and inorganic parameters was performed. Results of the correlation analysis suggest that these pollutants pairs might have similar sources or have been affected by similar factors. PCA she confirmed that the mutually correlated elements constitute a group of elements with a similar origin.

Microorganisms in the air of occupational indoor environments are associated with a wide range of adverse health effects with major public health impact. The aim of this study was testing the presence of microbiological parameters (bacteria and fungi) and microclimatic parameters (temperature and relative humidity) in the clinical hospital “St. Luke the Apostle” in Doboj, which is located in the Republic of Srpska (Bosnia and Herzegovina). Concentrations of bacteria ranged from 35 CFU/m3 to 6,295 CFU/m3. Maximum fungal concentration was 1,135 CFU/m3, while the minimum was 10 CFU/m3. The average levels of bacteria (1,113 CFU/m3) and fungi (186 CFU/m3) indicated that all hospital rooms were generally contaminated. Statistical analysis confirmed direct connection between the number of bacteria, fungi and microclimatic parameters, especially relative humidity.

Water is one of the most frequently used raw materials in pharmaceutical industry. Water for pharmaceutical purposes includes the two primary water types: purified water and water for injection. Drinking water used for obtaining purified water is not official in pharmacopoeia. Depending on quality prescribed for a certain product preparation, various water types and procedures have been used to prepare pharmaceutical industry water. Possible ways to obtain water for pharmaceutical purposes are: reverse osmosis, demineralization, electrodeionization, ultrafiltration, distillation. Reasons for the widespread use of water lie in the facts that it is capable of dissolving a great number of therapeutic substances, compatible with a large number of substances, appropriate to be used from a physiological aspect given that it is an integral part of the cell and the major component of body fluids and whenever the drug is administered in the form of an aqueous solution, reabsorption is rapid and complete, it also has suitable physical-chemical properties. In this study, analysis results of 15 samples of water were obtained using pharmacopoeial methods for pharmaceutical purposes. Results showed that 86.6% of water samples were accurate and 13.3% did not have appropriate calcium content, magnesium content and total hardness values.

Background The production of milk and dairy products and their placement on the market represent a constant profit for the farmers/producers in Bosnia and Herzegovina (BH). The profitable operation of the dairy farms is influenced by the reproductive performance of the lactating animals. This study assessed individual animal reproductive characteristics in selected dairy farms and described their reproductive performance indicators. Results The median age at first insemination was 493 days (5th–95th percentile range 429–840), while the age at first calving was 802 days (5th–95th percentile range 708–1168). The median pregnancy proportion at first insemination was 40% (5th–95th percentile range 17–62), while the cumulative pregnancy rate calculated at day-60, day-80, day-100, and day-120 showed that approximately 64% of all pregnancies happened before day-120. The calculated interservice intervals showed that approximately 69% of the repeat breeding animals came back to the oestrus in the period of 18 to 24 days. This is an indication of very good oestrus detection in selected dairy farms. The mean number of services per pregnancy was 2.61 (range 1–12). The median calving-to-first-insemination interval was 62.5 days (5th–95th percentile range 16–408). The calving-to-conception interval was 101 day (5th–95th percentile range 36–506). Finally, the calving interval was 385 days (5th–95th percentile range 329–773). Conclusions There is a need for an organised, regular, and more comprehensive recording system for the reproduction of dairy cattle among dairy farms in Una-Sana Canton. The calculated reproductive measures indicated an undulant trend in reproductive performance among selected dairy farms in Una-Sana Canton. Knowing the apparent reproductive indicators described in this study, the farmers and veterinary authorities may identify and correct areas in their management that contribute to the reproductive underperformance.

Rapid science and technology development, as well as population growth and solving global problems require a different approach to considering and solving these problems by including many scientific disciplines or technologies. The growing amount of waste and unsystematic depletion of natural resources impose new concepts and tools in creating new environmental products. The existing linear economy, based on the ‘take, make and dispose’ principle, is being replaced by a new approach, the ‘circular economy’. A circular economy seeks to sustainably manage natural resources, extend product lifecycle and reduce waste. Some of the directions or tools in a circular economy are biomimicry and cradle to cradle. Biomimicry seeks to solve problems by imitating natural processes, while cradle to cradle tends to reduce waste using knowledge obtained from nature. Understanding of nature, its systems and cycles will provide analogies and models for creation of innovative solutions to global problems.

The incorporation of β‐amino acids into a peptide sequence has gained particular attention as β‐ and α/β‐peptides have shown remarkable proteolytic stability, even after a single homologation at the scissile bond. Several peptidases have been shown to cleave such bonds with high specificity but at a much slower rate compared to α‐peptide bonds. In this study, a series of analogs of dipeptidyl peptidase‐4 (DPP‐4) substrate inhibitors were synthesized in order to investigate whether β‐amino acid homologation at the scissile bond could be a valid approach to improving peptide stability towards DPP‐4 degradation. DPP‐4 cleaved the α/β‐peptide bond after the N‐terminal penultimate Pro with a broad specificity and retained full activity regardless of the β3‐amino acid side chain and peptide length. Significantly improved half‐lives were observed for β3Ile‐containing peptides. Replacing the penultimate Pro with a conformationally constrained Pro mimetic led to proteolytic resistance. DPP‐4 cleavage of α/β‐peptide bonds with a broad promiscuity represents a new insight into the stability of peptide analogs containing β‐amino acids as such analogs were thought to be stable towards enzymatic degradation.