In the literature, auditory attention is explored through neural speech tracking, primarily entailing modeling and analyzing electroencephalography (EEG) responses to natural speech via linear filtering. Our study takes a novel approach, introducing an enhanced coherence estimation technique that employs multitapers to assess the strength of neural speech tracking. This enables effective discrimination between attended and ignored speech. To mitigate the impact of colored noise in EEG, we address two biases – overall coherence-level bias and spectral peak-shifting bias. In a listening study involving 32 participants with hearing impairment, tasked with attending to competing talkers in background noise, our coherence-based method effectively discerns EEG representations of attended and ignored speech. We comprehensively analyze frequency bands, individual frequencies, and EEG channels. Frequency bands of importance are shown to be delta, theta and alpha, as well as the central EEG channels. Lastly, we showcase coherence differences across different noise reduction settings implemented in hearing aids, underscoring our method’s potential to objectively assess auditory attention and enhance hearing aid efficacy.

Background/Aim: Most scoring systems in healthcare take into account the physical condition and pain status of a patient, but the impact of society on the individual is ignored. The aim of our study was to evaluate the social media posts made by patients regarding lumbar discectomy surgery. The objective was to identify and explore concerns and issues that may not be immediately evident during clinical evaluations but are significant to the patients themselves. Methods: Public posts with the hashtags #discectomy, #lumbardisectomy, and #discectomyrecovery were examined on the Instagram application. The tone of the post, return to sports (RTS), rehabilitation or physical therapy (PT), return to work (RTW), incision site (e.g., scarring, sutures, and dressing), pain, activities of daily living (ADL), and X-ray/magnetic resonance imaging (MRI) data were evaluated. The "Instagram likes ratio" was determined by dividing the total number of likes received for each post by the number of followers. Results: 272 posts were assessed, and 77.9% of them exhibited a positive tone. The topic that was most frequently discussed was ADL, which was discussed in 24.6% of the posts. Statistical analysis demonstrated a significant association between positive tone and ADL, as well as positive tone and RTS (P<0.001). A statistically significant correlation was observed between negative tone and neurological deficits, pain, and X-ray/MRI findings (P<0.001). Conclusion: Our study offers a unique perspective on the experience and satisfaction of patients who have undergone lumbar discectomy. Neurologic deficits and pain were notably significant in the negative posts. However, in general, the majority of the posts maintained a positive tone. The results could provide insights into patients' experiences and perspectives that can potentially inform healthcare professionals in providing more comprehensive and patient-centered care.

Traditional dairy products, especially cheeses, represent part of the cultural food heritage of many countries. In addition, these cheeses constitute microbiological “reservoirs”, of which many have been lost due to the introduction of the pasteurization of milk in the dairy industry. Increased awareness of the importance of microorganisms that make up the biodiversity of traditional cheeses, as well as the development of molecular methods in recent decades, have enabled efforts to identify and preserve them. Traditional Livno cheese is a full-fat hard cheese, considered one of the most famous traditional cheeses of Bosnia and Herzegovina and is seasonally produced from a mixture of raw sheep’s milk supplemented with cow’s milk. Often, Livno cheese has variable quality, due to microbial contamination and poor milk quality. In this study, traditional Livno cheese was studied during the ripening of cheeses produced by different producers during two seasons. Culture-dependent analyses were made during ripening using microbiological plating on suitable media. Likewise, culture-independent methods Denaturing Gradient Gel Electrophoresis (DGGE) and Automated Ribosomal Intergenic Spacer Analysis (ARISA) were used to elucidate the cheese microbiota. Results of analysis showed Lactococcus spp., Streptococcus spp., Lactobacillus spp., Pediococcus spp. and Leuconostoc spp. to be dominant species in traditional Livno cheese. However, when comparing the use of culture-dependent and culture-independent methods in the evaluation of Livno cheese microbiota, Enterococcus was not detected by culture-independent DGGE methods. The microbial population of both the milk and the environment determines the fermentation processes during cheese production and ripening, and thereby defines the quality of this cheese. The numbers of bacteria in the cheese were shown to be dependent on the manufacturer, the degree of ripening and the production season.

PAPA syndrome (Pyogenic Arthritis, Pyoderma gangrenosum and Acne) is an autosomal dominant, hereditary autoinflammatory disease resulting from mutations in the PstPiP1/Cd2BP1 gene on chromosome 15q. The disease begins in childhood, most often from the age of 2 to 11, and it is characterised by a triad of symptoms: pyogenic (sterile) arthritis, pyoderma gangrenosum and acne. The disease usually begins with arthritis and is rarely recognised in the initial stage. The appearance of skin symptoms of the disease, either acne or pyoderma gangrenosum, along with the previously existing arthritis, should arouse suspicion of the existence of PAPA syndrome and direct doctors to perform further genetic testing. The triad of symptoms does not always have to be present, but the presence of two of the three symptoms with a confirmed gene mutation is a sufficient criterion for the diagnosis of the disease. Biological drugs have shown the greatest effectiveness in treatment, and il1 inhibitors or tnF alpha inhibitors are most often used medications. in later life, the joint manifestations gradually calm down, but the skin manifestations can last for many years with frequent relapses and remissions even with applied therapy, which makes this syndrome a great challenge for the treatment of this disease. Considering the small number of cases with PAPA syndrome described in the literature, we present to you an interesting case of a twenty-five-year-old patient with this disease and his challenging diagnostic and therapeutic path from childhood to adulthood.

In the last years, Deep learning (DL) has become an active research topic in the field of medical image analysis, in particular for the automatic segmentation of pathological volumes. In order to develop a robust and generalizable system, it is of crucial importance to define the most suitable training set, according to both the model and the aim. Nevertheless, there are still no common guidelines specifying the most appropriate sampling and dimensionality of the set. The aim of the study is to assess how different sampling methods, e.g., stratified and random, and different sizes of the training set affect the performances of DL models for automatic segmentation. All DL algorithms were based on a U-Net structure and were trained using a real-world multi-center and multi-scanner pelvic MRI database. The performances were evaluated and compared using the Dice Similarity Coefficient between manual and automatic masks and the number of false negatives obtained by the different algorithms. Our results suggest that if the size of the training set is sufficiently large, using a stratified approach based on dendrograms does not strongly affect the performances of the nets, otherwise leads to higher results. Further analysis is needed using different stratification methods and sample sizes.

Robots do not need clothes to keep them warm or for other purely functional reasons; nevertheless, certain people choose to clothe their home robots. This paper contributes to an emerging interest in understanding the practice of clothing robots by analyzing how people dress up the pet-type companion robot aibo. We study a collection of 2320 Twitter posts with photos containing aibo robots in clothes provided for them by their owners. The collection of tweets spans four years (2018-2021). We report our findings regarding aibo clothing types, fashion trends, clothing choices in different use scenarios, and clothing sources. Our study provides insights into the benefits of clothing robots for users, different modes of robot fashion, and how users’ current practices of robot clothing design and use can inform the future design of companion robots.

ABSTRACT Introduction Refractory status epilepticus (RSE) is a diagnosis that can be made when tonic-clonic status epilepticus (SE) and focal SE cannot be stopped by at least two anti-seizure medications after 30 and 60 minutes, respectively, from the time of commencement. It could result in mortality, loss of functionality, neurological deficiency, and other serious short- and long-term effects. Areas covered This narrative review covers original clinical studies of any design and case series investigating long-term outcomes of RSE recorded after at least a year from the SE onset. Expert opinion The future of a patient with RSE rests mostly on the long-term effects of this severe pathological condition, which may be accompanied with systemic complications like hyperthermia, hyperkalemia, acidosis, and/or stress cardiomyopathy. Younger patients with less severe RSE of shorter duration, particularly of the convulsive kind, are reported to have better long-term outcomes. Previous studies on the factors influencing the long-term outcomes of RSE, however, did not link the outcomes to treatment options for the condition. Such circumstances currently prevent making any definitive recommendations on the treatment of RSE until future research with adequate statistical power is completed.

Abstract Adoption of eating habits starts early in life, through interaction with family members and alongside preschool settings that offer context for developing healthy lifestyles among children. The aim of this study was to explore the perceptions and practices of teachers and parents related to the development of healthy eating habits among preschool children. Focus groups were conducted with a total sample of 48 parents and teachers (three focus groups among parents and three among teachers) from 15 kindergartens in the Republic of Srpska, Bosnia, and Herzegovina. All of the mentioned kindergartens are part of the “Nutrition friendly preschool/school initiative”, a program aimed at creating and developing settings that support and improve children's health. Focus groups were audiotaped, transcribed verbatim, and analyzed according to the Framework Method. Teachers emphasized that good communication and support from parents are important factors for the development of healthy eating habits. During COVID‐19, direct communication with parents was restricted, and mutual activities among teachers, children, and parents were reduced. Lack of knowledge, finance, and time are perceived by parents as main obstacles to the improvement of children's healthy eating habits. All participants in the focus groups agreed that more education and informative material are needed so their skills related to good nutrition can be improved and adopted in a culture‐sensitive way. Mutual support, education, and dissemination of informative materials are imposed as particularly important needs by all actors involved in the upbringing of children in order to support the development of children's healthy eating habits.

In the spacious inundation area on the left bank of the lower course of the Sava River in Serbia, there is an abandoned meander Special Nature Reserve, “Obedska bara”, which represents a very important floodplain in this part of Europe. This area is characterized by an exceptional wealth of biodiversity with a significant presence of rare and endangered species of national and international importance. Hydrological conditions in the mentioned area were analyzed from the aspect of surface water movement in nature and conditions altered by human factors (after the construction of the road network, canals, etc.). The movement of surface water, i.e., the filling and emptying of the investigated area, parallel to the water level of the Sava River, is shown using a digital terrain model. Our simulation of the change in surface water level within the studied area included the display of underwater areas, both with the formation of a flood wave (i.e., increasing water level of the Sava) and with the outflow of water from the pond when the water level in the Sava was reduced in both scenarios (natural and conditions altered by human factors). GIS and terrain digitalization were used for geospatial and hydrological analyses and, based on this, maps that display endangered areas could be made. The obtained results show that the largest human impact was recorded at the water level of the Sava River 74 m above sea level. The aforementioned water regime changes were shown to negatively affect dominant vegetation, such as pedunculate oak and ash.

It is known that gloss has a significant impact on colour measurement. The UV varnish used for surface finishing, spot effects, as well as special effects, such as 3D effects and formation of Braille, has a pronounced gloss effect. In this work, a comparison of the spectrophotometer measurement geometry influence on the colour measurement of an unprinted PVC sample covered with UV varnish was done. UV varnish was applied successively in layers, and patches with different number of varnish layers, from 1 to 12, were formed. Two spectrophotometers with different measurement geometries were used for the measurement: Konica Minolta CM-2600d with d/8 measurement geometry, with spectral reflection included and excluded, and different measurement aperture 3 and 8 mm, and X-Rite eXact with 45/0 measurement geometry. By comparing the measurements, it was estab-lished that there is a significant difference in the measured values between different measuring device geometries on the given samples, and that the number of UV varnish layers has a significant influence on this differenc

Polymers and polymer composite materials, due to their properties, are becoming increasingly important materials in industry. They are used in a wide range of applications in space and aerospace, aviation, marine and automotive industry, as well as in production of sports equipment, household appliances, medical equipment, etc. They are expected to withstand loads during their lifetime, which requires predicting the reliability of structural elements, i.e. knowledge of material properties. To achieve better properties, polymer materials are reinforced with different percentages of fibre-reinforced materials, including glass fibres. The paper presents the results of experimental determination of the mechanical properties of injection moulded PA6 polymer reinforced with 30% glass fibres, determined by tensile and impact tests.

This paper presents a new method that enables automatic channel change in case of intense interference on the active channel of a wireless communication point-to-point link. Channel change algorithms on the master and slave side of the communication link are presented, which enable the automatic selection of a new communication channel from a predefined set of available communication channels. By applying this method, it is possible to maintain a stable communication link in case of intense unpredictable interference on the transmitter or receiver side. The method applies to two-way master-slave communication links, regardless of the frequency spectrum and the number of used communication channels.

Abstract Within this paper, the possibility of using advanced LoRa technology in the field of long-range remote control was considered. For testing purposes, a one-way point-to-point LoRa remote control link was implemented based on the LoRa Ra-02 SX1278 transceiver and the corresponding 32-bit Cortex-M3 microcontroller. The remote control application software is developed in the Arduino development environment. The implemented link was tested experimentally to check the range, data transfer speed and link stability. Test results show that LoRa transceiver modules can be used in the field of long-range remote control.