Airports negatively affect the environment by generating annoying aircraft noise. In practice, negative noise effect due to constant increase of air traffic is being compensated for through improved approach and departure procedures as well as new methods of noise reduction, mainly at the noise source itself. The emergence of COVID-19 pandemic significantly reduced air traffic throughout the world, which had a positive effect on the noise exposure of the people living around airports. This research is analyzing the effect of the COVID-19 on the noise exposure of the population living around Split Airport. The analysis was conducted based on the comparison of the noise maps for the peak days of 2019 and 2020, created in the Integrated Noise Model. The estimated number of people highly annoyed during the day for the peak day of 2020 was reduced by 14.7% compared to 2019, while the estimated number of people highly sleep-disturbed decreased by 62.3%.

We present stability conditions for deterministic time-varying nonlinear discrete-time systems whose inputs aim to minimize an infinite-horizon time-dependent cost. Global asymptotic and exponential stability properties for general attractors are established. This work covers and generalizes the related results on discounted optimal control problems to more general systems and cost functions.

Strategies to mitigate urban heat islands are a recent issue in the Austrian capital, Vienna. In this study, the uhiSolver-v2106-0.21 software was used to evaluate the summer cooling effects and humidity production of small-scale facade greening and a green pergola located in two schools within the city. Based on on-site measurement data, the study revealed that small-scale greening measures are not able to substantially reduce ambient air temperature. On a hot summer day, at 3 p.m. local time (CEST), the maximum decrease amounted to 0.3 °C at 0.1 m from the facade greening as well as inside the green pergola. As for the apparent (perceived) temperature, a reduction of up to 4 °C was observed under the green pergola compared to the unshaded roof terrace. Hence, the simulation results show that, within urban areas, a significant improvement of thermal comfort in summer can only be achieved through large-scale greenery that provides shade for pedestrians.

The subject of the research is the analysis of services that should be offered by public administration toward legal entities and natural persons. We will suggest that it uses real-time intelligent IT systems based on data storage based on the data warehouse. Our opinion is that such systems implemented in the public administration of Bosnia and Herzegovina could offer an appropriate service to each user at a time when they need the service in a form that suits them, on the spot where he is in the moment of delivery and in the quantity that he needs. In order for a public administration to be able to offer an appropriate service, it must know its users much better and know which service they need at what time. In this paper, we analyze self-service as well as the necessary activities for all that. These are all activities that should be carried out in the future, and this work could contribute to the implementation of these processes.

The paper proposes an objective image quality assessment measure with full referencing. The measure is based on a comparison of the contrast of the original image and the image with the degradation. Discrete cosine transform coefficients are used for contrast estimation. By applying the measure, a scalar value is obtained that reflects the quality of the test (degraded) image. The proposed measure is tested on an infrared image dataset developed by the Military Academy in Belgrade, Serbia. The performance of the measure was compared with other well-known objective full-reference image quality assessment metrics, which were developed for the images in visible domain. It was shown that measure performance can be improved with the adequate selections of the block dimensions and the number of discrete cosine transform coefficients during the calculation of image quality value. The proposed measure obtained a correlation with the subjective scores near 82%, which puts the measure into the top three of all tested image quality assessment measures. The proposed measure showed the best performance on the images distorted by Gaussian blurring, where the level of agreement with the subjective scores is over 97%, according to which the measure stands out as the best compared to other tested measures.

We revisit the performance of the classic gradual magnitude pruning (GMP) baseline for large language models, focusing on the classic BERT benchmark on various popular tasks. Despite existing evidence in the literature that GMP performs poorly, we show that a simple and general variant, which we call GMP*, can match and sometimes outperform more complex state-of-the-art methods. Our results provide a simple yet strong baseline for future work, highlight the importance of parameter tuning for baselines, and even improve the performance of the state-of-the-art second-order pruning method in this setting.

The individual interpretations of purchasing policies weaken fair government purchasing practices. However, this does not fully account for the nature of the media’s coverage of government contracting, taken as a whole. The authors seek to understand better framing in newspaper stories on government procurement, with the government as a force that creates opportunity and fraud. The paper focuses on an area of cognitive uncertainty in understanding portrayals of public procurement in newspaper articles as positive or negative, and, assuming a lack of balance, what interest or group do articles favor in their portrayal of this public function? Sentiment analysis of a corpus of newspaper articles focusing on government contracting was conducted. This analysis suggests that the negative perception of government contracting is reinforced and exacerbated by sensationalized media coverage, a negative impact on the policymaking process and public discourse, and public trust in government results.

Endurance-type disciplines (running, cycling, biathlon) define the cyclic structure of an athlete's movements, which, in addition to functional parameters, also includes an adequate morphological profile and body composition. Based on the detection, analysis and evaluation of these parameters, it is possible to define the body composition of the competitors as well as possible mutual differences even though it is endurance sports. The results are all the more relevant if the profile of top athletes with notable results is being evaluated. The current case study analyzes the morphological dimensions and body composition of competitors of three different disciplines (middle and long distances, cycling, biathlon) of top-level competitors, members of national teams. The study was conducted: Uroš Gutić (UG) - runner middle and long distances, member of AK "Sarajevo" and the BIH athletic national team; Milan Milivojević (MM) – cyclist, member of Cycling club "Borac" Čačak (Serbia), and the member Serbian national team; Stefan Lopatić (SL) – biathlete, member SK "Romanija" Pale, and BIH national team.

This paper presents the changes caused by macroabrasion of teeth on skeletal remains found in tomb No 4 in the west necropolis of the archeological site Kopila near Blato on the island of Korčula. The site archeologically dates back to the Late Iron Age, when the island was inhabited by the Illyrians. The aim of this study was to assess the dental age of the buried individuals at death and determine the type of their diet, which could give us a preliminary insight into the socio-economic standard of the inhabitants of the settlement. The analyzed sample is part of the collection of excavated skeletal remains kept in the Vela Luka Cultural Center on the island of Korčula. 284 permanent teeth, 19 fragments of the maxilla and 20 fragments of the mandible were found in the tomb, which were classified into 32 individuals and by sex. Teeth were analyzed by metric and non-metric methods of determining dental status in order to assess the dental age at the time of death and the diet of the inhabitants. The dental age of individuals was determined by the Lovejoy method and the degree of tooth wear by the Smith-Knight method. The analysis of the stable isotope 14C determined the exact time of death of the analyzed individuals. The tooth wear changes were very pronounced and present on 92.9% of teeth, equally on incisors and molars (p = 0.236). There is no significant gender difference (p > 0.05 for all teeth and jaw parts). There was no difference in the degree of tooth wear of the teeth of the mandible and maxilla (t = -0.266, p = 0.791), nor in the degree of tooth wear of the teeth of the maxilla right and left (t = -0.392, p = 0.702) or in the degree of tooth wear of the teeth of the mandible right and left (t = -0.889, p = 0.390). The average age of the analyzed population sample was 35.6 (±3.1) years. They were buried between 360-40 BC. Tooth wear changes observed on the analyzed teeth indicate a diet rich in hard, weakly cariogenic food with particles that were probably of inorganic origin, which caused an increased wear of tooth structures. The population was sedentary, agricultural type and the life expectancy was normal for the Late Iron Age. Besides, their socio-economic status was good. The age at the time of their death was between 30 and 40 years. Further studies should include more accurate and standardized methods for assessing the condition.

Objective Intracerebral hemorrhage (ICH) volume is a strong predictor of outcome in patients presenting with acute hemorrhagic stroke. It is necessary to segment the hematoma for ICH volume estimation and for computerized extraction of features, such as spot sign, texture parameters, or extravasated iodine content at dual-energy computed tomography. Manual and semiautomatic segmentation methods to delineate the hematoma are tedious, user dependent, and require trained personnel. This article presents a convolutional neural network to automatically delineate ICH from noncontrast computed tomography scans of the head. Methods A model combining a U-Net architecture with a masked loss function was trained on standard noncontrast computed tomography images that were down sampled to 256 × 256 size. Data augmentation was applied to prevent overfitting, and the loss score was calculated using the soft Dice loss function. The Dice coefficient and the Hausdorff distance were computed to quantitatively evaluate the segmentation performance of the model, together with the sensitivity and specificity to determine the ICH detection accuracy. Results The results demonstrate a median Dice coefficient of 75.9% and Hausdorff distance of 2.65 pixels in segmentation performance, with a detection sensitivity of 77.0% and specificity of 96.2%. Conclusions The proposed masked loss U-Net is accurate in the automatic segmentation of ICH. Future research should focus on increasing the detection sensitivity of the model and comparing its performance with other model architectures.

: The samples of Clinopodium nepeta (L.) Kuntze (Lamiaceae) aerial parts were collected from four different localities in sub-Mediterranean area of Bosnia and Herzegovina and subjected to phytochemical profiling. Shade-dried and fresh samples were used to determine their headspace volatile organic composition by solid-phase microextraction on two differently coated fibers. Corresponding essential oils were obtained by hydrodistillation. Both headspace and essential oil were analysed by gas chromatography-mass spectrometry Among detected compounds, piperitenone oxide and pulegone were dominant in the headspace of shade-dried and fresh C. nepeta samples. The essential oils contained 42 compounds including pulegone (44.8%), piperitenone (48.8%) and piperitenone oxide (60.2%) as the major compounds, followed by limonene, cis piperitone oxide, p -menthone and dihydrocarvyl acetate. In this work, a wide range of volatile compounds present in C. nepeta samples from Bosnia and Herzegovina was determined. The obtained data provides detail phytochemical analysis of the volatiles of C. nepeta and therefore completes earlier researches of this plant from the other geographical areas.

Squamous cell carcinoma (SCC) is the most common malignant tumour of the penis. The 2022 WHO classification reinforces the 2016 classification and subclassifies precursor lesions and tumours into human papillomavirus (HPV)‐associated and HPV‐independent types.

New online forms of giving have appeared next to more traditional ways like door-to-door collections. One of these new forms is philanthropic crowdfunding: donation- and reward-based crowdfunding. Crowdfunding is a promising method for mobilising and recruiting donors who may be unreachable via traditional methods. We analysed online giving via crowdfunding, focusing on donor characteristics and giving behaviour before and during the COVID-19 pandemic. Our analysis comprises survey research (n = 2125) observing giving behaviour on an individual level for both donors and non-donors. Our contributions are twofold. First, we report on the characteristics of donors who give to crowdfunding sources and in relation to donors who give via a door-to-door (i.e., ‘traditional’) collection focusing on micro- rather than macro-level data. Second, we compare the giving behaviour via crowdfunding with references to door-to-door collections before and during the COVID-19 pandemic. We show that the percentage of individuals supporting crowdfunding did not increase between 2018 (11%) and 2020 (12%). Regarding the amount, donors donated 13% higher amounts in 2020, but the difference was not significant. Regarding the characteristics of donors, we find that social media has a substantive role in giving via crowdfunding irrespective of other personal markers such as age, education, income, and gender, while this is not relevant in the case of door-to-door collection. Moreover, most people give to crowdfunding projects that are connected to an acquaintance, which signals that familiarity with the person initiating the crowdfunding projects plays a role. We conclude that crowdfunding, relative to more traditional giving, focuses more on informal giving than formal giving. Such an understanding requires different strategies and stimuli to increase giving via crowdfunding. © 2022 The Authors. Journal of Philanthropy and Marketing published by John Wiley & Sons Ltd.

Predmet istraţivanja ovog rada je analiza uloge društvenih mreža u životu Generacije Z u Bosni i Hercegovini. Cilj istraživanja je utvrditi na koji način društvene mreže determiniraju odrastanje i sazrijevanje novih generacija u dinamičnim društvenim tokovima. U tom smislu, težilo se ka empirijskom utvrđivanju i analizi aktualne situacije u vezi sa predmetnom temom i identifikacijom ključnih faktora utjecaja. Polazi se od hipoteze da upotreba interneta od ranog doba i interakcija sa društvenim mreţama Generacije Z mijenjaju način odrastanja ove generacije mladih. Korištene metode i tehnike istraţivanja: bazne metode logičkog zaključivanja, opštenaučne metode – pristup miksani metod, metode i tehnike za prikupljanje podataka. U zaključku je verifikovana polazna hipoteza i konstatovano je da društvene mreţe imaju značajnu ulogu u načinu odrastanja i sazrijevanja Generecije Z, što su novi izazovi socijalizacije ove generacije mladih u Bosni i Hercegovini.