Preschool wheezing and childhood asthma create a heavy disease burden which is only exacerbated by the complexity of the conditions. Preschool wheezing exhibits both “curricular” and “aetiological” heterogeneity: that is, heterogeneity across patients both in the time‐course of its development and in its underpinning pathological mechanisms. Since these are not fully understood, but clinical presentations across patients may nonetheless be similar, current diagnostic labels are imprecise—not mapping cleanly onto underlying disease mechanisms—and prognoses uncertain. These uncertainties also make a identifying new targets for therapeutic intervention difficult. In the past few decades, carefully designed birth cohort studies have collected “big data” on a large scale, incorporating not only a wealth of longitudinal clinical data, but also detailed information from modalities as varied as imaging, multiomics, and blood biomarkers. The profusion of big data has seen the proliferation of what we term “modern data approaches” (MDAs)—grouping together machine learning, artificial intelligence, and data science—to make sense and make use of this data. In this review, we survey applications of MDAs (with an emphasis on machine learning) in childhood wheeze and asthma, highlighting the extent of their successes in providing tools for prognosis, unpicking the curricular heterogeneity of these conditions, clarifying the limitations of current diagnostic criteria, and indicating directions of research for uncovering the etiology of the diseases underlying these conditions. Specifically, we focus on the trajectories of childhood wheeze phenotypes. Further, we provide an explainer of the nature and potential use of MDAs and emphasize the scope of what we can hope to achieve with them.

Abstract This paper presents a method for distributed generation (DG) allocation in medium voltage (MV) distribution system based on energy loss minimization. The main objective of the research is to design, implement and test a DG allocation (siting and sizing) method and to investigate how optimal DG allocation influence the operational parameters of the system from the Distribution System Operator (DSO) perspective. The problem is formulated as a single objective optimization problem solved by using both genetic algorithm and particle swarm optimization techniques. Model of a realistic Electric Power Distribution System (EPDS) and IEEE 37-bus EPDS are used as test systems. The results confirm that proposed algorithms can be used for practical DG allocation. The research presented contributes to the field as it provides a DG allocation method for energy loss reduction performed on a EPDS which can be applied in realistic planning and regulatory situations using open-source software.

It is known from theory and practice that the workability of wood depends on structural parameters that are closely related to the physical, mechanical and chemical properties of the type of wood itself, and disturbance parameters that refer to the technological and geometric parameters determined by the specific processing regime. That machinability, in addition to the mechanical output sizes, is often expressed by the quality, that is, the roughness of the processed surface. By defining a mathematical model in the process of planing solid wood in which the input sizes are processing parameters: wood density (ρ), feed rate (m/min) and number of cutting spirals (z), and the spilled sizes are praamters of roughness of the treated surface (Ra and Rz), and by applying optimization methods, optimal solutions for the process of planing solid wood on planer machines will be determined, so that the obtained Yoptim model will aim to improve the workability of solid wood, specifically its roughness of the processed surface.

The 2020 earthquakes that hit the Croatian capital city Zagreb and Petrinja revealed the (un)preparedness of the country once exposed to strong earthquake motion. Three years after, numerous buildings out of 25,000 that have been heavily damaged and destroyed still have not been reconstructed. The effect of the earthquake was felt as well in the bordering cities and towns in Bosnia and Herzegovina (BIH). Seismic assessment of the existing buildings in BIH is done by individual researchers and there is no defined methodology not policy for such activities. This paper aims to present the work that has been done in this field up to now and to give guidelines for the further work that needs to be conducted. The starting point was the calculation of the earthquake risk for the entire Bosnia and Herzegovina based on the rapid assessment taking into account the vulnerability of buildings, seismic hazard, and population exposure. A more detailed assessment was conducted for the three largest cities in BIH, specifically Sarajevo, Banja Luka, and Tuzla. Typical residential masonry structures were identified, and detailed calculations were conducted, leading to the need for their strengthening. To have a more detailed picture much work has to be conducted.

Aimof this study was to present data on addicts with the imposed protective measure of compulsory treatment of addition that were sent to the Institute for Addiction Diseases for the period 2014-2020. The study compares artsof law violation, art of addiction as well as duration of the protective measure of compulsory treatment.Out of 61 patients, 59 (96 %) were males and 2 (4%) females. The only reason for compulsory treatment for all of them was domestic violence. Out of 61 patients 41 (67%) underwent compulsory treatment due to use of psycho-active compounds (PAS) and 20 (33%) due to use of alcohol. Incidence of alcohol or PAS was statistically significant higher in males than in females (19 vs 1, p<0.001; 40 vs 1, p<0.001, respectively). Duration of the treatment was significantly longer in patients who used PAS than in those who used alcohol (10.29 vs 7.4 months; p<0.05). There was not statistically difference between duration ofthe treatment in males and females (9.36 vs 9.00 months; p>0.05). Incidence of the compulsory measures was significantly higher in 2018, 2019 and 2020 than in 2014, 2015 and 2016 (p<0.001). In all analyzed years, except 2015, incidence of the mandatory measureswas significantly higher in patients who misused PAS than who misused alcohol. The most common difficulties are:lowmotivational capacity,inadequate way of thinking, inadequateway of behaving with the adoption of new models and, ultimately, inadequate independent functioning. Keywords: addiction, compulsory treatment, violation of the law, criminal behaviour.

The objective of this research was to investigate impulsivity among children with dyslexia and comorbid dyslexia/ADHD. Children with these disorders, along with a non-ADHD/dyslexia sample, completed a self-report on impulsivity. Additionally, a specific impulsivity scale was completed by the children's parents and teachers. The analysis revealed a main effect for groups, indicating that children with dyslexia and comorbid dyslexia/ADHD reported more symptoms of impulsivity than normally achieving children. Furthermore, differences were identified between children with dyslexia and those in the comorbid dyslexia/ADHD group. Specifically, children with comorbid dyslexia/ADHD exhibited more impulsive behavior than children with dyslexia alone. Notably, there was a high level of consensus in ratingsof impulsivity between children and their teachers and parents.Keywords:dyslexia, ADHD, impulsivity

Modeling flow in open channels is essential for determining channel capacity and predicting flood events. The key segment for creating flood hazard and risk maps is a high-quality hydraulic model of the flow in the main bed with its tributaries. Several software packages have been developed for hydrodynamic simulations of flood events. In addition to the geometric characteristics of the watercourse, the equations of a one-dimensional flow model include a parameter that connects all influences that provide resistance to the flow of water. Determining the roughness of a natural channel is one of the most demanding procedures for the development of hydraulic models. Therefore, it is necessary to calibrate and validate the Manning coefficients of the channel roughness using simulation models. In the present study, the estimation of channel and floodplain roughness for the Veseočica River in Bosnia and Herzegovina was performed using the HEC-RAS hydrodynamic model. After calibration and verification of the model, flood hazard maps were created for flood waves with return periods of 20, 100, and 500 years. ArcGIS and HEC-GeoRAS software tools were used to create the flood risk maps.

In the process of creating composites, especially if we talk about wood-based composites, great attention should be paid on a variety of factors which affect the final composite properties.One of the essential elements is proper adhesive selection. Most common used are synthetic formaldehyde adhesives. We are aware how dangerous emission of free formaldehyde can be; we tend to minimize its usage. Using adhesives which are safe for the environment and humans as well, we tend to find safer composites which are ecologically acceptable and recognized as a better option.The paper briefly describes the adhesives used so far and their dangers, and selects several types of adhesives with basic characteristics that can meet the requirements for the production of ecologically acceptable composite panels, with an emphasis on wood-based composites. Certain tests and achievements in the development of these adhesives are also presented.

Large-scale incorporation of new energy generation units based on renewable sources, such as wind and photovoltaic power, drastically alters the structure of the power system. Because of the intermittent nature of these sources, switching in grids (connection and disconnection) occurs much more frequently than with conventional sources. As a result, the power system will inevitably experience a large number of transients, which raises questions about the stability of the system and the quality of the electrical energy. Therefore, measuring various types of transients in power system is crucial for stability, power quality, fault analysis, protection design, and insulation design. Transient recorders that are currently used are generally expensive and only suitable for particular locations in power systems. The number of installed transient recorders is insufficient for a comprehensive analysis of problems that may occur. Hence, it is important to have inexpensive and efficient transient recorders that can be installed at multiple points in the power system on various types of objects. It is also essential to have a transient record database with open access, which can be used by researchers to develop new analysis techniques based on artificial intelligence. This paper proposes an inexpensive measurement and acquisition system designed to record transient phenomena on different objects within the power system. The system is designed to use autonomous power, a standardized data acquisition module, a low-budget system for transmitting recorded transient events to the server via mobile network, and a sensor system adapted to the object where transients are recorded. The proposed system is designed to be used for all types of objects in the power system where transients may occur, such as power lines, transmission towers, surge arresters, and transformers. All components of the system are described, and the system is tested under laboratory conditions. The modular nature of the system allows customization to the specifics of the location in power system by choosing appropriate components. The calibration method of the custom designed Rogowski coil is described. The cost analysis of the proposed system and power consumption analysis are performed. The results show that the system’s performance meets application requirements at a low cost.

Abstract Introduction: Bones, lungs, brain and liver are the most common metastatic sites of breast carcinoma, although invasive lobular carcinoma can give metastases to less common sites, such as the gastrointestinal tract and the female genital tract. Case presentation: We present the case of a 57-year-old female with colic abdominal pain that was sent to surgery for cholecystectomy. Histopathology revealed a poorly cohesive individual or in single file neoplastic cells infiltrating all layers of the gallbladder. Immunohistochemistry revealed these cells to be CK 116, CK7, GCDFP-15, ER and PR positive, and CK20, HER-2, S-100 and E-cadherin negative. PET/CT showed numerous lytic bone lesions, but ultrasound, mammography, MRI and PET/CT revealed no breast mass. Conclusion: Although rare and poorly understood, metastases of invasive lobular carcinoma to gallbladder do exist in a minor percentage of patients, presenting usually as exacerbated cholecystitis. The problem are silent cases and patients with no history of breast carcinoma. This case is unique in that even after the diagnosis of metastatic lobular breast carcinoma to the gallbladder, the primary tumour of the breast was not detected.

Abstract Objective of this study was to identify the histopathological patterns and their frequency in testicular biopsy specimens from azoospermic patients and to categorize it according to Modified Johnsen scoring system. Methods: Testicular biopsies from male patients with clinical diagnosis of azoospermia were included in this study. All tissue samples were fixed in buffered 10% formalin, routinely processed and stained with Hematoxylin and Eosin. All cases were examined microscopically and categorized according to the histopathological patterns and Modified Johnsen scoring system. Results: Total 219 cases of testicular biopsies from 125 azoospermic male patients were evaluated, with 94 cases of bilateral testicular biopsy. The most prevalent age group was of 30-39 years (66.2%). The most common histological pattern was of Sertoli cell only syndrome (58.4%) while the least represented pattern was germ cell maturation arrest, seen in 4.6% cases. The most common Modified Johnsen score was 2 (66.7%). There was discordance in histologic pattern in both testes in 12.76% of patients who had bilateral testicular biopsy. Conclusion: Our study gives an insight on the most common histopathological patterns of azoospermic patients and emphasizes the need for a better national statistics and epidemiological studies of this entity. It also points out the significance of the bilateral testicular biopsy, as both, diagnostic and therapeutic procedure.

The work represents the continuation of the research of the maximum bending stress force of a wooden beam up to the moment of failure, which is defined experimentally and with a corresponding mathematical model. The goal was to confirm the accuracy of the mathematical model of the breaking force using numerical simulation and the Solid Works software. Five different types of wood and five different beam thicknesses were used as input parameters whose influence was monitored trough the simulation. The stress deformation state and deflection for the calculated fracture forces were analysed separately for each variant. The breaking force model, which is defined depending on the density of the wood and the thickness of the board, proved to be adequate for defining the maximum stresses and deflections when bending beams.

In order to determine the bending strength of wood or wood-based panels, an experimental method is typically used to test samples of different sizes that involves bending or compression. However, such tests are expensive and time-consuming, so mathematical models are often applied that allow predicting the bending strength based on a smaller number of obtained test results. One such model is the Lagrange interpolation polynomial. The study discusses Lagrange’s interpolation model. Using the results of tests done on plywood of various thicknesses, approximates the bending strength of plywood for values that could not be tested directly and provides an estimate of strength for particular values.

Abstract This paper addresses a underlying assumption of financial statements: going concern assumption. The going concern assumption constitutes a foundational premise presuming that the entity will conduct its operations in the forthcoming period (at least 12 months) without significant risk of business interruption. The primary objective of financial reporting is to provide information regarding the entity's financial position and performance to diverse users. Management is obligated to apprise users, and auditors are tasked with scrutinizing the assertion that the entity will continue its operations for a period exceeding 12 months. This paper meticulously examines the regulatory framework grounded in International Financial Reporting Standards and International Standards on Auditing. It particularly scrutinizes the role and significance of auditors in assessing the going concern assumption, encompassing an analysis of factors influencing the auditor's opinion on the going concern assumption and addressing criticisms directed at auditors. Furthermore, the paper explores past experiences in developing models for evaluating going concern assumptions, potentially aiding forensic accountants in uncovering irregularities in financial statements, given the correlation between a heightened bankruptcy risk and fraudulent activities.